From 81b81cf60b2c1771791b92250f07bcbee86190d4 Mon Sep 17 00:00:00 2001 From: Alonso Guevara Date: Mon, 1 Jul 2024 15:25:30 -0600 Subject: [PATCH] Initial Release --- .github/dependabot.yml | 19 + .github/pull_request_template.md | 36 + .github/workflows/gh-pages.yml | 95 + .github/workflows/javascript-ci.yml | 30 + .github/workflows/python-ci.yml | 122 + .github/workflows/python-publish.yml | 56 + .github/workflows/semver.yml | 15 + .github/workflows/spellcheck.yml | 15 + .gitignore | 67 + .../minor-20240701200021928520.json | 4 + .vscode/extensions.json | 11 + .vscode/launch.json | 12 + .vscode/settings.json | 52 + .vsts-ci.yml | 41 + CODEOWNERS | 6 + CODE_OF_CONDUCT.md | 9 + CONTRIBUTING.md | 79 + DEVELOPING.md | 85 + LICENSE | 21 + RAI_TRANSPARENCY.md | 41 + README.md | 52 + SECURITY.md | 37 + SUPPORT.md | 27 + cspell.config.yaml | 33 + dictionary.txt | 143 + docsite/.eleventy.js | 25 + docsite/.eleventyignore | 2 + docsite/.gitignore | 6 + docsite/.yarn/releases/yarn-4.0.2.cjs | 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tests/unit/indexing/verbs/__init__.py create mode 100644 tests/unit/indexing/verbs/entities/__init__.py create mode 100644 tests/unit/indexing/verbs/entities/extraction/__init__.py create mode 100644 tests/unit/indexing/verbs/entities/extraction/strategies/__init__.py create mode 100644 tests/unit/indexing/verbs/entities/extraction/strategies/graph_intelligence/__init__.py create mode 100644 tests/unit/indexing/verbs/entities/extraction/strategies/graph_intelligence/test_gi_entity_extraction.py create mode 100644 tests/unit/indexing/verbs/helpers/__init__.py create mode 100644 tests/unit/indexing/verbs/helpers/mock_llm.py create mode 100644 tests/unit/indexing/verbs/text/__init__.py create mode 100644 tests/unit/indexing/verbs/text/test_split.py create mode 100644 tests/unit/indexing/workflows/__init__.py create mode 100644 tests/unit/indexing/workflows/helpers.py create mode 100644 tests/unit/indexing/workflows/test_load.py diff --git a/.github/dependabot.yml b/.github/dependabot.yml new file mode 100644 index 00000000..3da41ebe --- /dev/null +++ b/.github/dependabot.yml @@ -0,0 +1,19 @@ +# To get started with Dependabot version updates, you'll need to specify which +# package ecosystems to update and where the package manifests are located. +# Please see the documentation for all configuration options: +# https://docs.github.com/code-security/dependabot/dependabot-version-updates/configuration-options-for-the-dependabot.yml-file +version: 2 +updates: + - package-ecosystem: "npm" # See documentation for possible values + directory: "docsite/" # Location of package manifests + schedule: + interval: "weekly" + - package-ecosystem: "pip" # See documentation for possible values + directory: "/" # Location of package manifests + schedule: + interval: "weekly" + - package-ecosystem: "github-actions" + # Workflow files stored in the default location of `.github/workflows`. (You don't need to specify `/.github/workflows` for `directory`. You can use `directory: "/"`.) + directory: "/" + schedule: + interval: "weekly" diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md new file mode 100644 index 00000000..49ceff49 --- /dev/null +++ b/.github/pull_request_template.md @@ -0,0 +1,36 @@ + + +## Description + +[Provide a brief description of the changes made in this pull request.] + +## Related Issues + +[Reference any related issues or tasks that this pull request addresses.] + +## Proposed Changes + +[List the specific changes made in this pull request.] + +## Checklist + +- [ ] I have tested these changes locally. +- [ ] I have reviewed the code changes. +- [ ] I have updated the documentation (if necessary). +- [ ] I have added appropriate unit tests (if applicable). + +## Additional Notes + +[Add any additional notes or context that may be helpful for the reviewer(s).] diff --git a/.github/workflows/gh-pages.yml b/.github/workflows/gh-pages.yml new file mode 100644 index 00000000..22d1de63 --- /dev/null +++ b/.github/workflows/gh-pages.yml @@ -0,0 +1,95 @@ +name: gh-pages +on: + push: + branches: [main] + +permissions: + contents: write + +env: + POETRY_VERSION: 1.8.3 + PYTHON_VERSION: '3.11' + NODE_VERSION: 18.x + +jobs: + build: + runs-on: ubuntu-latest + env: + GH_PAGES: 1 + DEBUG: 1 + GRAPHRAG_LLM_TYPE: "azure_openai_chat" + GRAPHRAG_EMBEDDING_TYPE: "azure_openai_embedding" + GRAPHRAG_API_KEY: ${{ secrets.OPENAI_API_KEY }} + GRAPHRAG_API_BASE: ${{ secrets.GRAPHRAG_API_BASE }} + GRAPHRAG_API_VERSION: ${{ secrets.GRAPHRAG_API_VERSION }} + GRAPHRAG_LLM_DEPLOYMENT_NAME: ${{ secrets.GRAPHRAG_LLM_DEPLOYMENT_NAME }} + GRAPHRAG_EMBEDDING_DEPLOYMENT_NAME: ${{ secrets.GRAPHRAG_EMBEDDING_DEPLOYMENT_NAME }} + GRAPHRAG_CACHE_TYPE: "blob" + GRAPHRAG_CACHE_CONNECTION_STRING: ${{ secrets.BLOB_STORAGE_CONNECTION_STRING }} + GRAPHRAG_CACHE_CONTAINER_NAME: "cicache" + GRAPHRAG_CACHE_BASE_DIR": "cache" + GRAPHRAG_LLM_MODEL: gpt-3.5-turbo-16k + GRAPHRAG_EMBEDDING_MODEL: text-embedding-ada-002 + # We have Windows + Linux runners in 3.10 and 3.11, so we need to divide the rate limits by 4 + GRAPHRAG_LLM_TPM: 45_000 # 180,000 / 4 + GRAPHRAG_LLM_RPM: 270 # 1,080 / 4 + GRAPHRAG_EMBEDDING_TPM: 87_500 # 350,000 / 4 + GRAPHRAG_EMBEDDING_RPM: 525 # 2,100 / 4 + GRAPHRAG_CHUNK_SIZE: 1200 + GRAPHRAG_CHUNK_OVERLAP: 0 + # Azure AI Search config + AZURE_AI_SEARCH_URL_ENDPOINT: ${{ secrets.AZURE_AI_SEARCH_URL_ENDPOINT }} + AZURE_AI_SEARCH_API_KEY: ${{ secrets.AZURE_AI_SEARCH_API_KEY }} + + steps: + - uses: actions/checkout@v4 + with: + persist-credentials: false + + - name: Set up Python ${{ env.PYTHON_VERSION }} + uses: actions/setup-python@v5 + with: + python-version: ${{ env.PYTHON_VERSION }} + + - name: Install Poetry ${{ env.POETRY_VERSION }} + uses: abatilo/actions-poetry@v3.0.0 + with: + poetry-version: ${{ env.POETRY_VERSION }} + + - name: Use Node ${{ env.NODE_VERSION }} + uses: actions/setup-node@v4 + with: + node-version: ${{ env.NODE_VERSION }} + + - name: Install Yarn dependencies + run: yarn install + working-directory: docsite + + - name: Install Poetry dependencies + run: poetry install + + - name: Install Azurite + id: azuright + uses: potatoqualitee/azuright@v1.1 + + - name: Generate Indexer Outputs + run: | + poetry run poe test_smoke + zip -jrm docsite/data/operation_dulce/dataset.zip tests/fixtures/min-csv/output/*/artifacts/*.parquet + + - name: Build Jupyter Notebooks + run: poetry run poe convert_docsite_notebooks + + - name: Build docsite + run: yarn build + working-directory: docsite + + - name: List docsite files + run: find docsite/_site + + - name: Deploy to GitHub Pages + uses: JamesIves/github-pages-deploy-action@v4.6.1 + with: + branch: gh-pages + folder: docsite/_site + clean: true diff --git a/.github/workflows/javascript-ci.yml b/.github/workflows/javascript-ci.yml new file mode 100644 index 00000000..e1d45c6f --- /dev/null +++ b/.github/workflows/javascript-ci.yml @@ -0,0 +1,30 @@ +name: JavaScript CI +on: + push: + branches: [main] + pull_request: + branches: [main] + +env: + NODE_VERSION: 18.x + +jobs: + javascript-ci: + runs-on: ubuntu-latest + strategy: + fail-fast: false + steps: + - name: Use Node ${{ env.NODE_VERSION }} + uses: actions/setup-node@v4 + with: + node-version: ${{ env.NODE_VERSION }} + + - uses: actions/checkout@v4 + + - run: yarn install + working-directory: docsite + name: Install Dependencies + + - run: yarn build + working-directory: docsite + name: Build Docsite \ No newline at end of file diff --git a/.github/workflows/python-ci.yml b/.github/workflows/python-ci.yml new file mode 100644 index 00000000..243f2cf0 --- /dev/null +++ b/.github/workflows/python-ci.yml @@ -0,0 +1,122 @@ +name: Python CI +on: + push: + branches: [main] + pull_request: + branches: [main] + +permissions: + contents: read + pull-requests: read + +concurrency: + group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} + # Only run the for the latest commit + cancel-in-progress: true + +env: + POETRY_VERSION: 1.8.3 + +jobs: + python-ci: + strategy: + matrix: + python-version: ["3.10", "3.11", "3.12"] + os: [ubuntu-latest, windows-latest] + env: + DEBUG: 1 + GRAPHRAG_LLM_TYPE: "azure_openai_chat" + GRAPHRAG_EMBEDDING_TYPE: "azure_openai_embedding" + GRAPHRAG_API_KEY: ${{ secrets.OPENAI_API_KEY }} + GRAPHRAG_API_BASE: ${{ secrets.GRAPHRAG_API_BASE }} + GRAPHRAG_API_VERSION: ${{ secrets.GRAPHRAG_API_VERSION }} + GRAPHRAG_LLM_DEPLOYMENT_NAME: ${{ secrets.GRAPHRAG_LLM_DEPLOYMENT_NAME }} + GRAPHRAG_EMBEDDING_DEPLOYMENT_NAME: ${{ secrets.GRAPHRAG_EMBEDDING_DEPLOYMENT_NAME }} + GRAPHRAG_CACHE_TYPE: "blob" + GRAPHRAG_CACHE_CONNECTION_STRING: ${{ secrets.BLOB_STORAGE_CONNECTION_STRING }} + GRAPHRAG_CACHE_CONTAINER_NAME: "cicache" + GRAPHRAG_CACHE_BASE_DIR": "cache" + GRAPHRAG_LLM_MODEL: gpt-3.5-turbo-16k + GRAPHRAG_EMBEDDING_MODEL: text-embedding-ada-002 + # We have Windows + Linux runners in 3.10 and 3.11, so we need to divide the rate limits by 4 + GRAPHRAG_LLM_TPM: 45_000 # 180,000 / 4 + GRAPHRAG_LLM_RPM: 270 # 1,080 / 4 + GRAPHRAG_EMBEDDING_TPM: 87_500 # 350,000 / 4 + GRAPHRAG_EMBEDDING_RPM: 525 # 2,100 / 4 + GRAPHRAG_CHUNK_SIZE: 1200 + GRAPHRAG_CHUNK_OVERLAP: 0 + # Azure AI Search config + AZURE_AI_SEARCH_URL_ENDPOINT: ${{ secrets.AZURE_AI_SEARCH_URL_ENDPOINT }} + AZURE_AI_SEARCH_API_KEY: ${{ secrets.AZURE_AI_SEARCH_API_KEY }} + + runs-on: ${{ matrix.os }} + steps: + - uses: actions/checkout@v4 + + - uses: dorny/paths-filter@v3 + id: changes + with: + filters: | + python: + - 'graphrag/**/*' + - 'poetry.lock' + - 'pyproject.toml' + - '**/*.py' + - '**/*.toml' + - '**/*.ipynb' + - '.github/workflows/python*.yml' + - 'tests/smoke/*' + + - name: Set up Python ${{ matrix.python-version }} + uses: actions/setup-python@v5 + with: + python-version: ${{ matrix.python-version }} + + - name: Install Poetry + uses: abatilo/actions-poetry@v3.0.0 + with: + poetry-version: $POETRY_VERSION + + - name: Install dependencies + shell: bash + run: poetry self add setuptools && poetry run python -m pip install gensim && poetry install + + - name: Check Semversioner + run: | + poetry run semversioner check + + - name: Check + run: | + poetry run poe check + + - name: Build + run: | + poetry build + + - name: Install Azurite + id: azuright + uses: potatoqualitee/azuright@v1.1 + + - name: Unit Test + run: | + poetry run poe test_unit + + - name: Integration Test + run: | + poetry run poe test_integration + + - name: Smoke Test + if: steps.changes.outputs.python == 'true' + run: | + poetry run poe test_smoke + + - uses: actions/upload-artifact@v4 + if: always() + with: + name: smoke-test-artifacts-${{ matrix.python-version }}-${{ matrix.poetry-version }}-${{ runner.os }} + path: tests/fixtures/*/output + + - name: E2E Test + if: steps.changes.outputs.python == 'true' + run: | + ./scripts/e2e-test.sh diff --git a/.github/workflows/python-publish.yml b/.github/workflows/python-publish.yml new file mode 100644 index 00000000..ce015b50 --- /dev/null +++ b/.github/workflows/python-publish.yml @@ -0,0 +1,56 @@ +name: Python Publish +on: + release: + types: [created] + push: + branches: [main] + +env: + POETRY_VERSION: 1.8.3 + PYTHON_VERSION: 3.10 + +jobs: + publish: + name: Upload release to PyPI + if: github.ref == 'refs/heads/main' + runs-on: ubuntu-latest + environment: + name: pypi + url: https://pypi.org/p/graphrag + permissions: + id-token: write # IMPORTANT: this permission is mandatory for trusted publishing + + steps: + - uses: actions/checkout@v4 + with: + fetch-depth: 0 + fetch-tags: true + + - name: Set up Python + uses: actions/setup-python@v5 + with: + python-version: $PYTHON_VERSION + + - name: Install Poetry + uses: abatilo/actions-poetry@v3.0.0 + with: + poetry-version: $POETRY_VERSION + + - name: Add poetry-dynamic-versioning plugin + run: poetry self add "poetry-dynamic-versioning[plugin]" + + - name: Install dependencies + shell: bash + run: poetry install + + - name: Build Distributable + shell: bash + run: poetry build + + - name: Publish package distributions to PyPI + uses: pypa/gh-action-pypi-publish@release/v1 + with: + packages-dir: dist + skip-existing: true + verbose: true + \ No newline at end of file diff --git a/.github/workflows/semver.yml b/.github/workflows/semver.yml new file mode 100644 index 00000000..139b759a --- /dev/null +++ b/.github/workflows/semver.yml @@ -0,0 +1,15 @@ +name: Semver Check +on: + pull_request: + branches: [main] + +jobs: + semver: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + with: + fetch-depth: 0 + + - name: Check Semver + run: ./scripts/semver-check.sh \ No newline at end of file diff --git a/.github/workflows/spellcheck.yml b/.github/workflows/spellcheck.yml new file mode 100644 index 00000000..bbf2be9d --- /dev/null +++ b/.github/workflows/spellcheck.yml @@ -0,0 +1,15 @@ +name: Spellcheck +on: + push: + branches: [main] + pull_request: + paths: + - '**/*' +jobs: + spellcheck: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + + - name: Spellcheck + run: ./scripts/spellcheck.sh diff --git a/.gitignore b/.gitignore new file mode 100644 index 00000000..da5c47c6 --- /dev/null +++ b/.gitignore @@ -0,0 +1,67 @@ +# Node Artifacts +*/node_modules/ +docsite/*/src/**/*.js +docsite/*/lib/ +docsite/*/storybook-static/ +docsite/*/docsTemp/ +docsite/*/build/ +.swc/ +dist/ +# https://yarnpkg.com/advanced/qa#which-files-should-be-gitignored +docsite/.yarn/* +!docsite/.yarn/patches +!docsite/.yarn/releases +!docsite/.yarn/plugins +!docsite/.yarn/sdks +!docsite/.yarn/versions +docsite/.pnp.* + +.yarn/* +!.yarn/patches +!.yarn/releases +!.yarn/plugins +!.yarn/sdks +!.yarn/versions +.pnp.* + +# Python Artifacts +python/*/lib/ +# Test Output +.coverage +coverage/ +licenses.txt +examples_notebooks/*/lancedb +examples_notebooks/*/data +tests/fixtures/cache +tests/fixtures/*/cache +tests/fixtures/*/output +lancedb/ + +# Random +.DS_Store +*.log* +.venv +.conda +.tmp + + +.env +build.zip + +.turbo + +__pycache__ + +.pipeline + +# Azurite +temp_azurite/ +__azurite*.json +__blobstorage*.json +__blobstorage__/ + +# Getting started example +ragtest/ +.ragtest/ +.pipelines +.pipeline \ No newline at end of file diff --git a/.semversioner/next-release/minor-20240701200021928520.json b/.semversioner/next-release/minor-20240701200021928520.json new file mode 100644 index 00000000..30e29ca0 --- /dev/null +++ b/.semversioner/next-release/minor-20240701200021928520.json @@ -0,0 +1,4 @@ +{ + "type": "minor", + "description": "Initial Release" +} diff --git a/.vscode/extensions.json b/.vscode/extensions.json new file mode 100644 index 00000000..6eb0e910 --- /dev/null +++ b/.vscode/extensions.json @@ -0,0 +1,11 @@ +{ + "recommendations": [ + "arcanis.vscode-zipfs", + "ms-python.python", + "charliermarsh.ruff", + "ms-python.vscode-pylance", + "bierner.markdown-mermaid", + "streetsidesoftware.code-spell-checker", + "ronnidc.nunjucks" + ] +} diff --git a/.vscode/launch.json b/.vscode/launch.json new file mode 100644 index 00000000..909771b8 --- /dev/null +++ b/.vscode/launch.json @@ -0,0 +1,12 @@ +{ + "version": "0.2.0", + "configurations": [ + { + "name": "Attach to Node Functions", + "type": "node", + "request": "attach", + "port": 9229, + "preLaunchTask": "func: host start" + } + ] +} diff --git a/.vscode/settings.json b/.vscode/settings.json new file mode 100644 index 00000000..ee8ded1e --- /dev/null +++ b/.vscode/settings.json @@ -0,0 +1,52 @@ +{ + "search.exclude": { + "**/.yarn": true, + "**/.pnp.*": true + }, + "eslint.nodePath": ".yarn/sdks", + "typescript.tsdk": ".yarn/sdks/typescript/lib", + "typescript.enablePromptUseWorkspaceTsdk": true, + "javascript.preferences.importModuleSpecifier": "relative", + "javascript.preferences.importModuleSpecifierEnding": "js", + "typescript.preferences.importModuleSpecifier": "relative", + "typescript.preferences.importModuleSpecifierEnding": "js", + "explorer.fileNesting.enabled": true, + "explorer.fileNesting.patterns": { + "*.ts": "${capture}.ts, ${capture}.hooks.ts, ${capture}.hooks.tsx, ${capture}.contexts.ts, ${capture}.stories.tsx, ${capture}.story.tsx, ${capture}.spec.tsx, ${capture}.base.ts, ${capture}.base.tsx, ${capture}.types.ts, ${capture}.styles.ts, ${capture}.styles.tsx, ${capture}.utils.ts, ${capture}.utils.tsx, ${capture}.constants.ts, ${capture}.module.scss, ${capture}.module.css, ${capture}.md", + "*.js": "${capture}.js.map, ${capture}.min.js, ${capture}.d.ts", + "*.jsx": "${capture}.js", + "*.tsx": "${capture}.ts, ${capture}.hooks.ts, ${capture}.hooks.tsx, ${capture}.contexts.ts, ${capture}.stories.tsx, ${capture}.story.tsx, ${capture}.spec.tsx, ${capture}.base.ts, ${capture}.base.tsx, ${capture}.types.ts, ${capture}.styles.ts, ${capture}.styles.tsx, ${capture}.utils.ts, ${capture}.utils.tsx, ${capture}.constants.ts, ${capture}.module.scss, ${capture}.module.css, ${capture}.md, ${capture}.css", + "tsconfig.json": "tsconfig.*.json", + "package.json": "package-lock.json, turbo.json, tsconfig.json, rome.json, biome.json, .npmignore, dictionary.txt, cspell.config.yaml", + "README.md": "*.md, LICENSE, CODEOWNERS", + ".eslintrc": ".eslintignore", + ".prettierrc": ".prettierignore", + ".gitattributes": ".gitignore", + ".yarnrc.yml": "yarn.lock, .pnp.*", + "jest.config.js": "jest.setup.mjs", + "pyproject.toml": "poetry.lock, poetry.toml", + "cspell.config.yaml": "dictionary.txt" + }, + "azureFunctions.postDeployTask": "npm install (functions)", + "azureFunctions.projectLanguage": "TypeScript", + "azureFunctions.projectRuntime": "~4", + "debug.internalConsoleOptions": "neverOpen", + "azureFunctions.preDeployTask": "npm prune (functions)", + "appService.zipIgnorePattern": [ + "node_modules{,/**}", + ".vscode{,/**}" + ], + "python.defaultInterpreterPath": "python/services/.venv/bin/python", + "python.languageServer": "Pylance", + "python.analysis.typeCheckingMode": "basic", + "cSpell.customDictionaries": { + "project-words": { + "name": "project-words", + "path": "${workspaceRoot}/dictionary.txt", + "description": "Words used in this project", + "addWords": true + }, + "custom": true, // Enable the `custom` dictionary + "internal-terms": true // Disable the `internal-terms` dictionary + } +} diff --git a/.vsts-ci.yml b/.vsts-ci.yml new file mode 100644 index 00000000..2a1e0964 --- /dev/null +++ b/.vsts-ci.yml @@ -0,0 +1,41 @@ +name: GraphRAG CI +pool: + vmImage: ubuntu-latest + +trigger: + batch: true + branches: + include: + - main + +variables: + isMain: $[eq(variables['Build.SourceBranch'], 'refs/heads/main')] + pythonVersion: "3.10" + poetryVersion: "1.6.1" + nodeVersion: "18.x" + artifactsFullFeedName: "Resilience/resilience_python" + +stages: + - stage: Compliance + dependsOn: [] + jobs: + - job: compliance + displayName: Compliance + pool: + vmImage: windows-latest + steps: + - task: CredScan@3 + inputs: + outputFormat: sarif + debugMode: false + + - task: ComponentGovernanceComponentDetection@0 + inputs: + scanType: "Register" + verbosity: "Verbose" + alertWarningLevel: "High" + + - task: PublishSecurityAnalysisLogs@3 + inputs: + ArtifactName: "CodeAnalysisLogs" + ArtifactType: "Container" \ No newline at end of file diff --git a/CODEOWNERS b/CODEOWNERS new file mode 100644 index 00000000..c5612f27 --- /dev/null +++ b/CODEOWNERS @@ -0,0 +1,6 @@ +# These owners will be the default owners for everything in +# the repo. Unless a later match takes precedence, +# @global-owner1 and @global-owner2 will be requested for +# review when someone opens a pull request. +* @microsoft/societal-resilience + diff --git a/CODE_OF_CONDUCT.md b/CODE_OF_CONDUCT.md new file mode 100644 index 00000000..f9ba8cf6 --- /dev/null +++ b/CODE_OF_CONDUCT.md @@ -0,0 +1,9 @@ +# Microsoft Open Source Code of Conduct + +This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/). + +Resources: + +- [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/) +- [Microsoft Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) +- Contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with questions or concerns diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md new file mode 100644 index 00000000..5f01e4bc --- /dev/null +++ b/CONTRIBUTING.md @@ -0,0 +1,79 @@ +# Contributing to GraphRAG + +Thank you for your interest in contributing to GraphRAG! We welcome contributions from the community to help improve the project. + +## Code of Conduct + +This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) +declaring that you have the right to, and actually do, grant us the rights to use your contribution. +For details, visit https://cla.microsoft.com. + +When you submit a pull request, a CLA-bot will automatically determine whether you need +to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the +instructions provided by the bot. You will only need to do this once across all repositories using our CLA. + +This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/). +For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) +or contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments. + +## How to Contribute + +1. Fork the repository and clone it to your local machine. +2. Create a new branch for your contribution: `git checkout -b my-contribution`. +3. Make your changes and ensure that the code passes all tests. +4. Commit your changes: `git commit -m "Add my contribution"`. +5. Create and commit a semver impact document by running `poetry run semversioner add-change -t -d `. +6. Push your changes to your forked repository: `git push origin my-contribution`. +7. Open a pull request to the main repository. + +## Reporting Security Issues + +**Please do not report security vulnerabilities through public GitHub issues.** Instead, please report them to the Microsoft Security Response Center (MSRC). +See [SECURITY.md](./SECURITY.md) for more information. + +## Before you start, file an issue + +Please follow this simple rule to help us eliminate any unnecessary wasted effort & frustration, and ensure an efficient and effective use of everyone's time - yours, ours, and other community members': + +> 👉 If you have a question, think you've discovered an issue, would like to propose a new feature, etc., then find/file an issue **BEFORE** starting work to fix/implement it. + +### Search existing issues first + +Before filing a new issue, search existing open and closed issues first: This project is moving fast! It is likely someone else has found the problem you're seeing, and someone may be working on or have already contributed a fix! + +If no existing item describes your issue/feature, great - please file a new issue: + +### File a new Issue + +- Don't know whether you're reporting an issue or requesting a feature? File an issue +- Have a question that you don't see answered in docs, videos, etc.? File an issue +- Want to know if we're planning on building a particular feature? File an issue +- Got a great idea for a new feature? File an issue/request/idea +- Don't understand how to do something? File an issue +- Found an existing issue that describes yours? Great - upvote and add additional commentary / info / repro-steps / etc. + +If from the previous guide you find yourself in the need of file an Issue please use the [issue tracker](https://github.com/microsoft/graphrag/issues). +Provide as much detail as possible to help us understand and address the problem. + +### Add information + +**Complete the new Issue form, providing as much information as possible**. The more information you provide, the more likely your issue/ask will be understood and implemented. Helpful information includes: + +- What device you're running (inc. CPU type, memory, disk, etc.) +- What OS your device is running +- What tools and apps you're using (e.g. VS 2022, VSCode, etc.) +- **We LOVE detailed repro steps!** What steps do we need to take to reproduce the issue? Assume we love to read repro steps. As much detail as you can stand is probably _barely_ enough detail for us! +- Prefer error message text where possible or screenshots of errors if text cannot be captured +- **If you intend to implement the fix/feature yourself then say so!** If you do not indicate otherwise we will assume that the issue is our to solve, or may label the issue as `Help-Wanted`. + +### DO NOT post "+1" comments + +> ⚠ DO NOT post "+1", "me too", or similar comments - they just add noise to an issue. + +If you don't have any additional info/context to add but would like to indicate that you're affected by the issue, upvote the original issue by clicking its [+😊] button and hitting 👍 (+1) icon. This way we can actually measure how impactful an issue is. + +--- + +## Thank you + +We appreciate your contributions to GraphRAG! diff --git a/DEVELOPING.md b/DEVELOPING.md new file mode 100644 index 00000000..dd1763ef --- /dev/null +++ b/DEVELOPING.md @@ -0,0 +1,85 @@ +# GraphRAG Development + +# Requirements + +| Name | Installation | Purpose | +| ------------------- | ------------------------------------------------------------ | ----------------------------------------------------------------------------------- | +| Python 3.10 or 3.11 | [Download](https://www.python.org/downloads/) | The library is Python-based. | +| Poetry | [Instructions](https://python-poetry.org/docs/#installation) | Poetry is used for package management and virtualenv management in Python codebases | + +# Getting Started + +## Install Dependencies + +```sh +# Install Python dependencies. +poetry install +``` + +## Execute the Indexing Engine + +```sh +poetry run poe index <...args> +``` + +## Executing Queries + +```sh +poetry run poe query <...args> +``` + +# Azurite + +Some unit and smoke tests use Azurite to emulate Azure resources. This can be started by running: + +```sh +./scripts/start-azurite.sh +``` + +or by simply running `azurite` in the terminal if already installed globally. See the [Azurite documentation](https://learn.microsoft.com/en-us/azure/storage/common/storage-use-azurite) for more information about how to install and use Azurite. + +# Lifecycle Scripts + +Our Python package utilizes Poetry to manage dependencies and [poethepoet](https://pypi.org/project/poethepoet/) to manage build scripts. + +Available scripts are: + +- `poetry run poe index` - Run the Indexing CLI +- `poetry run poe query` - Run the Query CLI +- `poetry build` - This invokes `poetry build`, which will build a wheel file and other distributable artifacts. +- `poetry run poe test` - This will execute all tests. +- `poetry run poe test_unit` - This will execute unit tests. +- `poetry run poe test_integration` - This will execute integration tests. +- `poetry run poe test_smoke` - This will execute smoke tests. +- `poetry run poe check` - This will perform a suite of static checks across the package, including: + - formatting + - documentation formatting + - linting + - security patterns + - type-checking +- `poetry run poe fix` - This will apply any available auto-fixes to the package. Usually this is just formatting fixes. +- `poetry run poe fix_unsafe` - This will apply any available auto-fixes to the package, including those that may be unsafe. +- `poetry run poe format` - Explicitly run the formatter across the package. + +## Troubleshooting + +### "RuntimeError: llvm-config failed executing, please point LLVM_CONFIG to the path for llvm-config" when running poetry install + +Make sure llvm-9 and llvm-9-dev are installed: + +`sudo apt-get install llvm-9 llvm-9-dev` + +and then in your bashrc, add + +`export LLVM_CONFIG=/usr/bin/llvm-config-9` + +### "numba/\_pymodule.h:6:10: fatal error: Python.h: No such file or directory" when running poetry install + +Make sure you have python3.10-dev installed or more generally `python-dev` + +`sudo apt-get install python3.10-dev` + +### LLM call constantly exceeds TPM, RPM or time limits + +`GRAPHRAG_LLM_THREAD_COUNT` and `GRAPHRAG_EMBEDDING_THREAD_COUNT` are both set to 50 by default. You can modify this values +to reduce concurrency. Please refer to the [Configuration Documents](https://microsoft.github.io/graphrag/posts/config/overview/) diff --git a/LICENSE b/LICENSE new file mode 100644 index 00000000..9e841e7a --- /dev/null +++ b/LICENSE @@ -0,0 +1,21 @@ + MIT License + + Copyright (c) Microsoft Corporation. + + Permission is hereby granted, free of charge, to any person obtaining a copy + of this software and associated documentation files (the "Software"), to deal + in the Software without restriction, including without limitation the rights + to use, copy, modify, merge, publish, distribute, sublicense, and/or sell + copies of the Software, and to permit persons to whom the Software is + furnished to do so, subject to the following conditions: + + The above copyright notice and this permission notice shall be included in all + copies or substantial portions of the Software. + + THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR + IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, + FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE + AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER + LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, + OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE + SOFTWARE diff --git a/RAI_TRANSPARENCY.md b/RAI_TRANSPARENCY.md new file mode 100644 index 00000000..1a789aed --- /dev/null +++ b/RAI_TRANSPARENCY.md @@ -0,0 +1,41 @@ +# GraphRAG: Responsible AI FAQ + +## What is GraphRAG? + +GraphRAG is an AI-based content interpretation and search capability. Using LLMs, it parses data to create a knowledge graph and answer user questions about a user-provided private dataset. + +## What can GraphRAG do? + +GraphRAG is able to connect information across large volumes of information and use these connections to answer questions that are difficult or impossible to answer using keyword and vector-based search mechanisms. Building on the previous question, provide semi-technical, high-level information on how the system offers functionality for various uses. This lets a system using GraphRAG to answer questions where the answers span many documents as well as thematic questions such as “what are the top themes in this dataset?.” + +## What are GraphRAG’s intended use(s)? + +* GraphRAG is intended to support critical information discovery and analysis use cases where the information required to arrive at a useful insight spans many documents, is noisy, is mixed with mis and/or dis-information, or when the questions users aim to answer are more abstract or thematic than the underlying data can directly answer. +* GraphRAG is designed to be used in settings where users are already trained on responsible analytic approaches and critical reasoning is expected. GraphRAG is capable of providing high degrees of insight on complex information topics, however human analysis by a domain expert of the answers is needed in order to verify and augment GraphRAG’s generated responses. +* GraphRAG is intended to be deployed and used with a domain specific corpus of text data. GraphRAG itself does not collect user data, but users are encouraged to verify data privacy policies of the chosen LLM used to configure GraphRAG. + +## How was GraphRAG evaluated? What metrics are used to measure performance? + +GraphRAG has been evaluated in multiple ways. The primary concerns are 1) accurate representation of the data set, 2) providing transparency and groundedness of responses, 3) resilience to prompt and data corpus injection attacks, and 4) low hallucination rates. Details on how each of these has been evaluated is outlined below by number. + +1) Accurate representation of the dataset has been tested by both manual inspection and automated testing against a “gold answer” that is created from randomly selected subsets of a test corpus. + +2) Transparency and groundedness of responses is tested via automated answer coverage evaluation and human inspection of the underlying context returned. + +3) We test both user prompt injection attacks (“jailbreaks”) and cross prompt injection attacks (“data attacks”) using manual and semi-automated techniques. + +4) Hallucination rates are evaluated using claim coverage metrics, manual inspection of answer and source, and adversarial attacks to attempt a forced hallucination through adversarial and exceptionally challenging datasets. + +## What are the limitations of GraphRAG? How can users minimize the impact of GraphRAG’s limitations when using the system? + +GraphRAG depends on a well-constructed indexing examples. For general applications (e.g. content oriented around people, places, organizations, things, etc.) we provide example indexing prompts. For unique datasets effective indexing can depend on proper identification of domain-specific concepts. + +Indexing is a relatively expensive operation; a best practice to mitigate indexing is to create a small test dataset in the target domain to ensure indexer performance prior to large indexing operations. + +## What operational factors and settings allow for effective and responsible use of GraphRAG? + +GraphRAG is designed for use by users with domain sophistication and experience working through difficult information challenges. While the approach is generally robust to injection attacks and identifying conflicting sources of information, the system is designed for trusted users. Proper human analysis of responses is important to generate reliable insights, and the provenance of information should be traced to ensure human agreement with the inferences made as part of the answer generation. + +GraphRAG yields the most effective results on natural language text data that is collectively focused on an overall topic or theme, and that is entity rich – entities being people, places, things, or objects that can be uniquely identified. + +While GraphRAG has been evaluated for its resilience to prompt and data corpus injection attacks, and has been probed for specific types of harms, the LLM that the user configures with GraphRAG may produce inappropriate or offensive content, which may make it inappropriate to deploy for sensitive contexts without additional mitigations that are specific to the use case and model. Developers should assess outputs for their context and use available safety classifiers, model specific safety filters and features (such as https://azure.microsoft.com/en-us/products/ai-services/ai-content-safety), or custom solutions appropriate for their use case. \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 00000000..f14e33a8 --- /dev/null +++ b/README.md @@ -0,0 +1,52 @@ +# GraphRAG + +👉 [Use the GraphRAG Accelerator solution](https://github.com/Azure-Samples/graphrag-accelerator) +👉 [Microsoft Research Blog Post](https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/) +👉 [Read the docs](https://microsoft.github.io/graphrag) + +## Overview + +The GraphRAG project is a data pipeline and transformation suite that is designed to extract meaningful, structured data from unstructured text using the power of LLMs. + +To learn more about GraphRAG and how it can be used to enhance your LLMs ability to reason about your private data, please visit the Microsoft Research Blog Post. + +## Quickstart + +To get started with the GraphRAG system we recommend trying the [Solution Accelerator](https://github.com/Azure-Samples/graphrag-accelerator) package. This provides a user-friendly end-to-end experience with Azure resources. + +## Repository Guidance + +This repository presents a methodology for using knowledge graph memory structures to enhance LLM outputs. Please note that the provided code serves as a demonstration and is not an officially supported Microsoft offering. + +## Diving Deeper + +- To learn about our contribution guidelines, see [CONTRIBUTING.md](./CONTRIBUTING.md) +- To start developing _GraphRAG_, see [DEVELOPING.md](./DEVELOPING.md) + +## Prompt Tuning + +Using _GraphRAG_ with your data out of the box may not yield the best possible results. +We strongly recommend to fine-tune your prompts following the [Prompt Tuning Guide](https://microsoft.github.io/graphrag/posts/prompt_tuning/overview/) in our documentation. + +## Responsible AI FAQ + +See [RAI_TRANSPARENCY.md](./RAI_TRANSPARENCY.md) + +- [What is GraphRAG?](./RAI_TRANSPARENCY.md#what-is-graphrag) +- [What can GraphRAG do?](./RAI_TRANSPARENCY.md#what-can-graphrag-do) +- [What are GraphRAG’s intended use(s)?](./RAI_TRANSPARENCY.md#what-are-graphrags-intended-uses) +- [How was GraphRAG evaluated? What metrics are used to measure performance?](./RAI_TRANSPARENCY.md#how-was-graphrag-evaluated-what-metrics-are-used-to-measure-performance) +- [What are the limitations of GraphRAG? How can users minimize the impact of GraphRAG’s limitations when using the system?](./RAI_TRANSPARENCY.md#what-are-the-limitations-of-graphrag-how-can-users-minimize-the-impact-of-graphrags-limitations-when-using-the-system) +- [What operational factors and settings allow for effective and responsible use of GraphRAG?](./RAI_TRANSPARENCY.md#what-operational-factors-and-settings-allow-for-effective-and-responsible-use-of-graphrag) + +## Trademarks + +This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft +trademarks or logos is subject to and must follow +[Microsoft's Trademark & Brand Guidelines](https://www.microsoft.com/en-us/legal/intellectualproperty/trademarks/usage/general). +Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. +Any use of third-party trademarks or logos are subject to those third-party's policies. + +## Privacy + +[Microsoft Privacy Statement](https://privacy.microsoft.com/en-us/privacystatement) diff --git a/SECURITY.md b/SECURITY.md new file mode 100644 index 00000000..e5c7ae54 --- /dev/null +++ b/SECURITY.md @@ -0,0 +1,37 @@ +## Security + +Microsoft takes the security of our software products and services seriously, which includes all source code repositories managed through our GitHub organizations, which include [Microsoft](https://github.com/Microsoft), [Azure](https://github.com/Azure), [DotNet](https://github.com/dotnet), [AspNet](https://github.com/aspnet), [Xamarin](https://github.com/xamarin), and [our GitHub organizations](https://opensource.microsoft.com/). + +If you believe you have found a security vulnerability in any Microsoft-owned repository that meets [Microsoft's definition of a security vulnerability](https://docs.microsoft.com/en-us/previous-versions/tn-archive/cc751383(v=technet.10)), please report it to us as described below. + +## Reporting Security Issues + +**Please do not report security vulnerabilities through public GitHub issues.** + +Instead, please report them to the Microsoft Security Response Center (MSRC) at [https://msrc.microsoft.com/create-report](https://msrc.microsoft.com/create-report). + +If you prefer to submit without logging in, send email to [secure@microsoft.com](mailto:secure@microsoft.com). If possible, encrypt your message with our PGP key; please download it from the [Microsoft Security Response Center PGP Key page](https://www.microsoft.com/en-us/msrc/pgp-key-msrc). + +You should receive a response within 24 hours. If for some reason you do not, please follow up via email to ensure we received your original message. Additional information can be found at [microsoft.com/msrc](https://www.microsoft.com/msrc). + +Please include the requested information listed below (as much as you can provide) to help us better understand the nature and scope of the possible issue: + + * Type of issue (e.g. buffer overflow, SQL injection, cross-site scripting, etc.) + * Full paths of source file(s) related to the manifestation of the issue + * The location of the affected source code (tag/branch/commit or direct URL) + * Any special configuration required to reproduce the issue + * Step-by-step instructions to reproduce the issue + * Proof-of-concept or exploit code (if possible) + * Impact of the issue, including how an attacker might exploit the issue + +This information will help us triage your report more quickly. + +If you are reporting for a bug bounty, more complete reports can contribute to a higher bounty award. Please visit our [Microsoft Bug Bounty Program](https://microsoft.com/msrc/bounty) page for more details about our active programs. + +## Preferred Languages + +We prefer all communications to be in English. + +## Policy + +Microsoft follows the principle of [Coordinated Vulnerability Disclosure](https://www.microsoft.com/en-us/msrc/cvd). \ No newline at end of file diff --git a/SUPPORT.md b/SUPPORT.md new file mode 100644 index 00000000..2c18260c --- /dev/null +++ b/SUPPORT.md @@ -0,0 +1,27 @@ +# Support + +## How to file issues and get help + +This project uses GitHub Issues to track bugs and feature requests. Please search the existing +issues before filing new issues to avoid duplicates. For new issues, file your bug or +feature request as a new Issue. + +For help and questions about using this project, please create a GitHub issue with your question. + +## Microsoft Support Policy + +# Support for this **PROJECT or PRODUCT** is limited to the resources listed above. + +# Support + +## How to file issues and get help + +This project uses GitHub Issues to track bugs and feature requests. Please search the existing +issues before filing new issues to avoid duplicates. For new issues, file your bug or +feature request as a new Issue. + +For help and questions about using this project, please file an issue on the repo. + +## Microsoft Support Policy + +Support for this project is limited to the resources listed above. diff --git a/cspell.config.yaml b/cspell.config.yaml new file mode 100644 index 00000000..daa90e48 --- /dev/null +++ b/cspell.config.yaml @@ -0,0 +1,33 @@ +$schema: https://raw.githubusercontent.com/streetsidesoftware/cspell/main/cspell.schema.json +version: "0.2" +allowCompoundWords: true +dictionaryDefinitions: + - name: dictionary + path: "./dictionary.txt" + addWords: true +dictionaries: + - dictionary +ignorePaths: + - cspell.config.yaml + - node_modules + - _site + - /project-words.txt + - default_pipeline.yml + - .turbo + - output/ + - dist/ + - temp_azurite/ + - __pycache__ + - pyproject.toml + - entity_extraction.txt + - package.json + - tests/fixtures/ + - docsite/data/ + - docsite/nbdocsite_template/ + - docsite/posts/query/notebooks/inputs/ + - examples_notebooks/inputs/ + - "*.csv" + - "*.parquet" + - "*.faiss" + - "*.ipynb" + - "*.log" diff --git a/dictionary.txt b/dictionary.txt new file mode 100644 index 00000000..65328e09 --- /dev/null +++ b/dictionary.txt @@ -0,0 +1,143 @@ +# Team +Alonso + +# Pythonisms +PYTHONPATH +pycache +nopython +virtualenv +Pythonisms +pyproject +ipynb +pymodule +virtualenv +virtualenvs +signum +ospath +msecs +asdict +isna +getcwd +fillna +noqa + +# Azure +abfs +Hnsw +odata + +# NLTK Terms +chunker +wordnet +maxent +punkt + +# Libraries +Langchain +networkx +graspologic +graphml +dataframe +dataframes +nltk +datashaper +numba +graphintelligence +dotenv +tiktoken +pydantic +faiss +pyarrow +pyaml +Chakra +poethepoet +pyodbc +lancedb +httpx +pymongo +uvloop +aiofiles +asyncio +numpy +pypi +nbformat +semversioner + +# Library Methods +iterrows +rprint +ndarray +nprobe +astype +monkeypatches +nlist +ntotal +quantizer +arun +tiktokens +dtype +linewidths +asearch +iloc +itertuples +isin +nocache +nbconvert + +# Verbs +binarize +prechunked +openai +genid +umap +concat +unhot +groupby +retryer +agenerate +aembed +dedupe + +# LLM Terms +AOAI +embedder +llm +llms + +# Galaxy-Brain Terms +Unipartite +idempotently +covariate +covariates +logit +confusors + +# Charting +plottable +scatterplot + +# Resilience Team Terms +megapipeline +columnwise +docstore +datasource +devcontainers +codebases + +# Microsoft +MSRC + +# Broken Upstream +# TODO FIX IN DATASHAPER +Arrary + +# Prompt Inputs +dulce +Asadi +ABILA +Abila +POKRALLY + +# English +skippable +upvote \ No newline at end of file diff --git a/docsite/.eleventy.js b/docsite/.eleventy.js new file mode 100644 index 00000000..11141917 --- /dev/null +++ b/docsite/.eleventy.js @@ -0,0 +1,25 @@ +const { EleventyHtmlBasePlugin } = require("@11ty/eleventy"); +const syntaxHighlight = require("@11ty/eleventy-plugin-syntaxhighlight"); +const codeClipboard = require("eleventy-plugin-code-clipboard"); +const pluginMermaid = require("@kevingimbel/eleventy-plugin-mermaid"); +const markdownIt = require('markdown-it'); + +module.exports = (eleventyConfig) => { + eleventyConfig.addPlugin(syntaxHighlight); + eleventyConfig.addPlugin(codeClipboard); + eleventyConfig.addPlugin(pluginMermaid); + eleventyConfig.addPlugin(EleventyHtmlBasePlugin, { + baseHref: process.env.DOCSITE_BASE_URL || "" + }); + eleventyConfig.addPassthroughCopy("data"); + eleventyConfig.addPassthroughCopy("img"); + // Ignore auto-generated content + eleventyConfig.setUseGitIgnore(false); + + const markdownLibrary = markdownIt({ + html: true + }).use(codeClipboard.markdownItCopyButton); + + eleventyConfig.setLibrary("md", markdownLibrary); + +}; \ No newline at end of file diff --git a/docsite/.eleventyignore b/docsite/.eleventyignore new file mode 100644 index 00000000..f4c3c5d9 --- /dev/null +++ b/docsite/.eleventyignore @@ -0,0 +1,2 @@ +!posts/index/verbs/*.md +!posts/index/workflows/*.md diff --git a/docsite/.gitignore b/docsite/.gitignore new file mode 100644 index 00000000..845c745a --- /dev/null +++ b/docsite/.gitignore @@ -0,0 +1,6 @@ +_site +_posts +posts/query/notebooks/*.ipynb +posts/query/notebooks/*_nb.md +*.parquet +*.zip \ No newline at end of file diff --git a/docsite/.yarn/releases/yarn-4.0.2.cjs b/docsite/.yarn/releases/yarn-4.0.2.cjs new file mode 100644 index 00000000..f12c120e --- /dev/null +++ b/docsite/.yarn/releases/yarn-4.0.2.cjs @@ -0,0 +1,893 @@ +#!/usr/bin/env node +/* eslint-disable */ +//prettier-ignore +(()=>{var n_e=Object.create;var MT=Object.defineProperty;var i_e=Object.getOwnPropertyDescriptor;var s_e=Object.getOwnPropertyNames;var o_e=Object.getPrototypeOf,a_e=Object.prototype.hasOwnProperty;var Be=(t=>typeof require<"u"?require:typeof Proxy<"u"?new Proxy(t,{get:(e,r)=>(typeof require<"u"?require:e)[r]}):t)(function(t){if(typeof require<"u")return require.apply(this,arguments);throw new Error('Dynamic require of "'+t+'" is not supported')});var 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a=Buffer.alloc(0);try{a=await this.readFilePromise(e)}catch{}Buffer.compare(a,r)!==0&&await this.writeFilePromise(e,r,{mode:o})}async changeFileTextPromise(e,r,{automaticNewlines:o,mode:a}={}){let n="";try{n=await this.readFilePromise(e,"utf8")}catch{}let u=o?Ug(n,r):r;n!==u&&await this.writeFilePromise(e,u,{mode:a})}changeFileSync(e,r,o={}){return Buffer.isBuffer(r)?this.changeFileBufferSync(e,r,o):this.changeFileTextSync(e,r,o)}changeFileBufferSync(e,r,{mode:o}={}){let a=Buffer.alloc(0);try{a=this.readFileSync(e)}catch{}Buffer.compare(a,r)!==0&&this.writeFileSync(e,r,{mode:o})}changeFileTextSync(e,r,{automaticNewlines:o=!1,mode:a}={}){let n="";try{n=this.readFileSync(e,"utf8")}catch{}let u=o?Ug(n,r):r;n!==u&&this.writeFileSync(e,u,{mode:a})}async movePromise(e,r){try{await this.renamePromise(e,r)}catch(o){if(o.code==="EXDEV")await this.copyPromise(r,e),await this.removePromise(e);else throw 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this.mapFromBase(this.baseFs.realpathSync(this.mapToBase(e)))}async existsPromise(e){return this.baseFs.existsPromise(this.mapToBase(e))}existsSync(e){return this.baseFs.existsSync(this.mapToBase(e))}accessSync(e,r){return this.baseFs.accessSync(this.mapToBase(e),r)}async accessPromise(e,r){return this.baseFs.accessPromise(this.mapToBase(e),r)}async statPromise(e,r){return this.baseFs.statPromise(this.mapToBase(e),r)}statSync(e,r){return this.baseFs.statSync(this.mapToBase(e),r)}async fstatPromise(e,r){return this.baseFs.fstatPromise(e,r)}fstatSync(e,r){return this.baseFs.fstatSync(e,r)}lstatPromise(e,r){return this.baseFs.lstatPromise(this.mapToBase(e),r)}lstatSync(e,r){return this.baseFs.lstatSync(this.mapToBase(e),r)}async fchmodPromise(e,r){return this.baseFs.fchmodPromise(e,r)}fchmodSync(e,r){return this.baseFs.fchmodSync(e,r)}async chmodPromise(e,r){return this.baseFs.chmodPromise(this.mapToBase(e),r)}chmodSync(e,r){return this.baseFs.chmodSync(this.mapToBase(e),r)}async 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unlinkPromise(e){return this.baseFs.unlinkPromise(this.mapToBase(e))}unlinkSync(e){return this.baseFs.unlinkSync(this.mapToBase(e))}async utimesPromise(e,r,o){return this.baseFs.utimesPromise(this.mapToBase(e),r,o)}utimesSync(e,r,o){return this.baseFs.utimesSync(this.mapToBase(e),r,o)}async lutimesPromise(e,r,o){return this.baseFs.lutimesPromise(this.mapToBase(e),r,o)}lutimesSync(e,r,o){return this.baseFs.lutimesSync(this.mapToBase(e),r,o)}async mkdirPromise(e,r){return this.baseFs.mkdirPromise(this.mapToBase(e),r)}mkdirSync(e,r){return this.baseFs.mkdirSync(this.mapToBase(e),r)}async rmdirPromise(e,r){return this.baseFs.rmdirPromise(this.mapToBase(e),r)}rmdirSync(e,r){return this.baseFs.rmdirSync(this.mapToBase(e),r)}async linkPromise(e,r){return this.baseFs.linkPromise(this.mapToBase(e),this.mapToBase(r))}linkSync(e,r){return this.baseFs.linkSync(this.mapToBase(e),this.mapToBase(r))}async symlinkPromise(e,r,o){let a=this.mapToBase(r);if(this.pathUtils.isAbsolute(e))return this.baseFs.symlinkPromise(this.mapToBase(e),a,o);let n=this.mapToBase(this.pathUtils.join(this.pathUtils.dirname(r),e)),u=this.baseFs.pathUtils.relative(this.baseFs.pathUtils.dirname(a),n);return this.baseFs.symlinkPromise(u,a,o)}symlinkSync(e,r,o){let a=this.mapToBase(r);if(this.pathUtils.isAbsolute(e))return this.baseFs.symlinkSync(this.mapToBase(e),a,o);let n=this.mapToBase(this.pathUtils.join(this.pathUtils.dirname(r),e)),u=this.baseFs.pathUtils.relative(this.baseFs.pathUtils.dirname(a),n);return this.baseFs.symlinkSync(u,a,o)}async readFilePromise(e,r){return this.baseFs.readFilePromise(this.fsMapToBase(e),r)}readFileSync(e,r){return this.baseFs.readFileSync(this.fsMapToBase(e),r)}readdirPromise(e,r){return this.baseFs.readdirPromise(this.mapToBase(e),r)}readdirSync(e,r){return this.baseFs.readdirSync(this.mapToBase(e),r)}async readlinkPromise(e){return this.mapFromBase(await this.baseFs.readlinkPromise(this.mapToBase(e)))}readlinkSync(e){return this.mapFromBase(this.baseFs.readlinkSync(this.mapToBase(e)))}async truncatePromise(e,r){return this.baseFs.truncatePromise(this.mapToBase(e),r)}truncateSync(e,r){return this.baseFs.truncateSync(this.mapToBase(e),r)}async ftruncatePromise(e,r){return this.baseFs.ftruncatePromise(e,r)}ftruncateSync(e,r){return this.baseFs.ftruncateSync(e,r)}watch(e,r,o){return this.baseFs.watch(this.mapToBase(e),r,o)}watchFile(e,r,o){return this.baseFs.watchFile(this.mapToBase(e),r,o)}unwatchFile(e,r){return this.baseFs.unwatchFile(this.mapToBase(e),r)}fsMapToBase(e){return typeof e=="number"?e:this.mapToBase(e)}}});var Uu,Y7=Et(()=>{gf();Uu=class extends Ps{constructor(r,{baseFs:o,pathUtils:a}){super(a);this.target=r,this.baseFs=o}getRealPath(){return this.target}getBaseFs(){return this.baseFs}mapFromBase(r){return r}mapToBase(r){return r}}});function W7(t){let e=t;return typeof t.path=="string"&&(e.path=ue.toPortablePath(t.path)),e}var V7,Rn,Hg=Et(()=>{V7=$e(Be("fs"));_g();Ca();Rn=class extends Ou{constructor(r=V7.default){super();this.realFs=r}getExtractHint(){return!1}getRealPath(){return Bt.root}resolve(r){return K.resolve(r)}async openPromise(r,o,a){return await new Promise((n,u)=>{this.realFs.open(ue.fromPortablePath(r),o,a,this.makeCallback(n,u))})}openSync(r,o,a){return this.realFs.openSync(ue.fromPortablePath(r),o,a)}async opendirPromise(r,o){return await new Promise((a,n)=>{typeof o<"u"?this.realFs.opendir(ue.fromPortablePath(r),o,this.makeCallback(a,n)):this.realFs.opendir(ue.fromPortablePath(r),this.makeCallback(a,n))}).then(a=>{let n=a;return Object.defineProperty(n,"path",{value:r,configurable:!0,writable:!0}),n})}opendirSync(r,o){let n=typeof o<"u"?this.realFs.opendirSync(ue.fromPortablePath(r),o):this.realFs.opendirSync(ue.fromPortablePath(r));return Object.defineProperty(n,"path",{value:r,configurable:!0,writable:!0}),n}async readPromise(r,o,a=0,n=0,u=-1){return await new Promise((A,p)=>{this.realFs.read(r,o,a,n,u,(h,E)=>{h?p(h):A(E)})})}readSync(r,o,a,n,u){return this.realFs.readSync(r,o,a,n,u)}async writePromise(r,o,a,n,u){return await new Promise((A,p)=>typeof o=="string"?this.realFs.write(r,o,a,this.makeCallback(A,p)):this.realFs.write(r,o,a,n,u,this.makeCallback(A,p)))}writeSync(r,o,a,n,u){return typeof o=="string"?this.realFs.writeSync(r,o,a):this.realFs.writeSync(r,o,a,n,u)}async closePromise(r){await new Promise((o,a)=>{this.realFs.close(r,this.makeCallback(o,a))})}closeSync(r){this.realFs.closeSync(r)}createReadStream(r,o){let a=r!==null?ue.fromPortablePath(r):r;return this.realFs.createReadStream(a,o)}createWriteStream(r,o){let a=r!==null?ue.fromPortablePath(r):r;return this.realFs.createWriteStream(a,o)}async realpathPromise(r){return await new Promise((o,a)=>{this.realFs.realpath(ue.fromPortablePath(r),{},this.makeCallback(o,a))}).then(o=>ue.toPortablePath(o))}realpathSync(r){return ue.toPortablePath(this.realFs.realpathSync(ue.fromPortablePath(r),{}))}async existsPromise(r){return await new Promise(o=>{this.realFs.exists(ue.fromPortablePath(r),o)})}accessSync(r,o){return this.realFs.accessSync(ue.fromPortablePath(r),o)}async accessPromise(r,o){return await new Promise((a,n)=>{this.realFs.access(ue.fromPortablePath(r),o,this.makeCallback(a,n))})}existsSync(r){return this.realFs.existsSync(ue.fromPortablePath(r))}async statPromise(r,o){return await new Promise((a,n)=>{o?this.realFs.stat(ue.fromPortablePath(r),o,this.makeCallback(a,n)):this.realFs.stat(ue.fromPortablePath(r),this.makeCallback(a,n))})}statSync(r,o){return o?this.realFs.statSync(ue.fromPortablePath(r),o):this.realFs.statSync(ue.fromPortablePath(r))}async fstatPromise(r,o){return await new Promise((a,n)=>{o?this.realFs.fstat(r,o,this.makeCallback(a,n)):this.realFs.fstat(r,this.makeCallback(a,n))})}fstatSync(r,o){return o?this.realFs.fstatSync(r,o):this.realFs.fstatSync(r)}async lstatPromise(r,o){return await new Promise((a,n)=>{o?this.realFs.lstat(ue.fromPortablePath(r),o,this.makeCallback(a,n)):this.realFs.lstat(ue.fromPortablePath(r),this.makeCallback(a,n))})}lstatSync(r,o){return o?this.realFs.lstatSync(ue.fromPortablePath(r),o):this.realFs.lstatSync(ue.fromPortablePath(r))}async fchmodPromise(r,o){return await new Promise((a,n)=>{this.realFs.fchmod(r,o,this.makeCallback(a,n))})}fchmodSync(r,o){return this.realFs.fchmodSync(r,o)}async chmodPromise(r,o){return await new Promise((a,n)=>{this.realFs.chmod(ue.fromPortablePath(r),o,this.makeCallback(a,n))})}chmodSync(r,o){return this.realFs.chmodSync(ue.fromPortablePath(r),o)}async fchownPromise(r,o,a){return await new Promise((n,u)=>{this.realFs.fchown(r,o,a,this.makeCallback(n,u))})}fchownSync(r,o,a){return this.realFs.fchownSync(r,o,a)}async chownPromise(r,o,a){return await new Promise((n,u)=>{this.realFs.chown(ue.fromPortablePath(r),o,a,this.makeCallback(n,u))})}chownSync(r,o,a){return this.realFs.chownSync(ue.fromPortablePath(r),o,a)}async renamePromise(r,o){return await new Promise((a,n)=>{this.realFs.rename(ue.fromPortablePath(r),ue.fromPortablePath(o),this.makeCallback(a,n))})}renameSync(r,o){return this.realFs.renameSync(ue.fromPortablePath(r),ue.fromPortablePath(o))}async copyFilePromise(r,o,a=0){return await new Promise((n,u)=>{this.realFs.copyFile(ue.fromPortablePath(r),ue.fromPortablePath(o),a,this.makeCallback(n,u))})}copyFileSync(r,o,a=0){return this.realFs.copyFileSync(ue.fromPortablePath(r),ue.fromPortablePath(o),a)}async appendFilePromise(r,o,a){return await new Promise((n,u)=>{let A=typeof r=="string"?ue.fromPortablePath(r):r;a?this.realFs.appendFile(A,o,a,this.makeCallback(n,u)):this.realFs.appendFile(A,o,this.makeCallback(n,u))})}appendFileSync(r,o,a){let n=typeof r=="string"?ue.fromPortablePath(r):r;a?this.realFs.appendFileSync(n,o,a):this.realFs.appendFileSync(n,o)}async writeFilePromise(r,o,a){return await new Promise((n,u)=>{let A=typeof r=="string"?ue.fromPortablePath(r):r;a?this.realFs.writeFile(A,o,a,this.makeCallback(n,u)):this.realFs.writeFile(A,o,this.makeCallback(n,u))})}writeFileSync(r,o,a){let n=typeof r=="string"?ue.fromPortablePath(r):r;a?this.realFs.writeFileSync(n,o,a):this.realFs.writeFileSync(n,o)}async unlinkPromise(r){return await new Promise((o,a)=>{this.realFs.unlink(ue.fromPortablePath(r),this.makeCallback(o,a))})}unlinkSync(r){return this.realFs.unlinkSync(ue.fromPortablePath(r))}async utimesPromise(r,o,a){return await new Promise((n,u)=>{this.realFs.utimes(ue.fromPortablePath(r),o,a,this.makeCallback(n,u))})}utimesSync(r,o,a){this.realFs.utimesSync(ue.fromPortablePath(r),o,a)}async lutimesPromise(r,o,a){return await new Promise((n,u)=>{this.realFs.lutimes(ue.fromPortablePath(r),o,a,this.makeCallback(n,u))})}lutimesSync(r,o,a){this.realFs.lutimesSync(ue.fromPortablePath(r),o,a)}async mkdirPromise(r,o){return await new Promise((a,n)=>{this.realFs.mkdir(ue.fromPortablePath(r),o,this.makeCallback(a,n))})}mkdirSync(r,o){return this.realFs.mkdirSync(ue.fromPortablePath(r),o)}async rmdirPromise(r,o){return await new Promise((a,n)=>{o?this.realFs.rmdir(ue.fromPortablePath(r),o,this.makeCallback(a,n)):this.realFs.rmdir(ue.fromPortablePath(r),this.makeCallback(a,n))})}rmdirSync(r,o){return this.realFs.rmdirSync(ue.fromPortablePath(r),o)}async linkPromise(r,o){return await new Promise((a,n)=>{this.realFs.link(ue.fromPortablePath(r),ue.fromPortablePath(o),this.makeCallback(a,n))})}linkSync(r,o){return this.realFs.linkSync(ue.fromPortablePath(r),ue.fromPortablePath(o))}async symlinkPromise(r,o,a){return await new Promise((n,u)=>{this.realFs.symlink(ue.fromPortablePath(r.replace(/\/+$/,"")),ue.fromPortablePath(o),a,this.makeCallback(n,u))})}symlinkSync(r,o,a){return this.realFs.symlinkSync(ue.fromPortablePath(r.replace(/\/+$/,"")),ue.fromPortablePath(o),a)}async readFilePromise(r,o){return await new Promise((a,n)=>{let u=typeof r=="string"?ue.fromPortablePath(r):r;this.realFs.readFile(u,o,this.makeCallback(a,n))})}readFileSync(r,o){let a=typeof r=="string"?ue.fromPortablePath(r):r;return this.realFs.readFileSync(a,o)}async readdirPromise(r,o){return await new Promise((a,n)=>{o?o.recursive&&process.platform==="win32"?o.withFileTypes?this.realFs.readdir(ue.fromPortablePath(r),o,this.makeCallback(u=>a(u.map(W7)),n)):this.realFs.readdir(ue.fromPortablePath(r),o,this.makeCallback(u=>a(u.map(ue.toPortablePath)),n)):this.realFs.readdir(ue.fromPortablePath(r),o,this.makeCallback(a,n)):this.realFs.readdir(ue.fromPortablePath(r),this.makeCallback(a,n))})}readdirSync(r,o){return o?o.recursive&&process.platform==="win32"?o.withFileTypes?this.realFs.readdirSync(ue.fromPortablePath(r),o).map(W7):this.realFs.readdirSync(ue.fromPortablePath(r),o).map(ue.toPortablePath):this.realFs.readdirSync(ue.fromPortablePath(r),o):this.realFs.readdirSync(ue.fromPortablePath(r))}async readlinkPromise(r){return await new Promise((o,a)=>{this.realFs.readlink(ue.fromPortablePath(r),this.makeCallback(o,a))}).then(o=>ue.toPortablePath(o))}readlinkSync(r){return ue.toPortablePath(this.realFs.readlinkSync(ue.fromPortablePath(r)))}async truncatePromise(r,o){return await new Promise((a,n)=>{this.realFs.truncate(ue.fromPortablePath(r),o,this.makeCallback(a,n))})}truncateSync(r,o){return this.realFs.truncateSync(ue.fromPortablePath(r),o)}async ftruncatePromise(r,o){return await new Promise((a,n)=>{this.realFs.ftruncate(r,o,this.makeCallback(a,n))})}ftruncateSync(r,o){return this.realFs.ftruncateSync(r,o)}watch(r,o,a){return this.realFs.watch(ue.fromPortablePath(r),o,a)}watchFile(r,o,a){return this.realFs.watchFile(ue.fromPortablePath(r),o,a)}unwatchFile(r,o){return this.realFs.unwatchFile(ue.fromPortablePath(r),o)}makeCallback(r,o){return(a,n)=>{a?o(a):r(n)}}}});var gn,K7=Et(()=>{Hg();gf();Ca();gn=class extends Ps{constructor(r,{baseFs:o=new Rn}={}){super(K);this.target=this.pathUtils.normalize(r),this.baseFs=o}getRealPath(){return this.pathUtils.resolve(this.baseFs.getRealPath(),this.target)}resolve(r){return this.pathUtils.isAbsolute(r)?K.normalize(r):this.baseFs.resolve(K.join(this.target,r))}mapFromBase(r){return r}mapToBase(r){return this.pathUtils.isAbsolute(r)?r:this.pathUtils.join(this.target,r)}}});var J7,_u,z7=Et(()=>{Hg();gf();Ca();J7=Bt.root,_u=class extends Ps{constructor(r,{baseFs:o=new Rn}={}){super(K);this.target=this.pathUtils.resolve(Bt.root,r),this.baseFs=o}getRealPath(){return this.pathUtils.resolve(this.baseFs.getRealPath(),this.pathUtils.relative(Bt.root,this.target))}getTarget(){return this.target}getBaseFs(){return this.baseFs}mapToBase(r){let o=this.pathUtils.normalize(r);if(this.pathUtils.isAbsolute(r))return this.pathUtils.resolve(this.target,this.pathUtils.relative(J7,r));if(o.match(/^\.\.\/?/))throw new Error(`Resolving this path (${r}) would escape the jail`);return this.pathUtils.resolve(this.target,r)}mapFromBase(r){return this.pathUtils.resolve(J7,this.pathUtils.relative(this.target,r))}}});var ny,X7=Et(()=>{gf();ny=class extends Ps{constructor(r,o){super(o);this.instance=null;this.factory=r}get baseFs(){return this.instance||(this.instance=this.factory()),this.instance}set baseFs(r){this.instance=r}mapFromBase(r){return r}mapToBase(r){return r}}});var jg,wa,_p,Z7=Et(()=>{jg=Be("fs");_g();Hg();VT();BD();Ca();wa=4278190080,_p=class extends Ou{constructor({baseFs:r=new Rn,filter:o=null,magicByte:a=42,maxOpenFiles:n=1/0,useCache:u=!0,maxAge:A=5e3,typeCheck:p=jg.constants.S_IFREG,getMountPoint:h,factoryPromise:E,factorySync:I}){if(Math.floor(a)!==a||!(a>1&&a<=127))throw new Error("The magic byte must be set to a round value between 1 and 127 included");super();this.fdMap=new Map;this.nextFd=3;this.isMount=new Set;this.notMount=new Set;this.realPaths=new Map;this.limitOpenFilesTimeout=null;this.baseFs=r,this.mountInstances=u?new Map:null,this.factoryPromise=E,this.factorySync=I,this.filter=o,this.getMountPoint=h,this.magic=a<<24,this.maxAge=A,this.maxOpenFiles=n,this.typeCheck=p}getExtractHint(r){return this.baseFs.getExtractHint(r)}getRealPath(){return this.baseFs.getRealPath()}saveAndClose(){if(Og(this),this.mountInstances)for(let[r,{childFs:o}]of this.mountInstances.entries())o.saveAndClose?.(),this.mountInstances.delete(r)}discardAndClose(){if(Og(this),this.mountInstances)for(let[r,{childFs:o}]of this.mountInstances.entries())o.discardAndClose?.(),this.mountInstances.delete(r)}resolve(r){return this.baseFs.resolve(r)}remapFd(r,o){let a=this.nextFd++|this.magic;return this.fdMap.set(a,[r,o]),a}async openPromise(r,o,a){return await this.makeCallPromise(r,async()=>await this.baseFs.openPromise(r,o,a),async(n,{subPath:u})=>this.remapFd(n,await n.openPromise(u,o,a)))}openSync(r,o,a){return this.makeCallSync(r,()=>this.baseFs.openSync(r,o,a),(n,{subPath:u})=>this.remapFd(n,n.openSync(u,o,a)))}async opendirPromise(r,o){return await this.makeCallPromise(r,async()=>await this.baseFs.opendirPromise(r,o),async(a,{subPath:n})=>await a.opendirPromise(n,o),{requireSubpath:!1})}opendirSync(r,o){return this.makeCallSync(r,()=>this.baseFs.opendirSync(r,o),(a,{subPath:n})=>a.opendirSync(n,o),{requireSubpath:!1})}async readPromise(r,o,a,n,u){if((r&wa)!==this.magic)return await this.baseFs.readPromise(r,o,a,n,u);let A=this.fdMap.get(r);if(typeof A>"u")throw Io("read");let[p,h]=A;return await p.readPromise(h,o,a,n,u)}readSync(r,o,a,n,u){if((r&wa)!==this.magic)return this.baseFs.readSync(r,o,a,n,u);let A=this.fdMap.get(r);if(typeof A>"u")throw Io("readSync");let[p,h]=A;return p.readSync(h,o,a,n,u)}async writePromise(r,o,a,n,u){if((r&wa)!==this.magic)return typeof o=="string"?await this.baseFs.writePromise(r,o,a):await this.baseFs.writePromise(r,o,a,n,u);let A=this.fdMap.get(r);if(typeof A>"u")throw Io("write");let[p,h]=A;return typeof o=="string"?await p.writePromise(h,o,a):await p.writePromise(h,o,a,n,u)}writeSync(r,o,a,n,u){if((r&wa)!==this.magic)return typeof o=="string"?this.baseFs.writeSync(r,o,a):this.baseFs.writeSync(r,o,a,n,u);let A=this.fdMap.get(r);if(typeof A>"u")throw Io("writeSync");let[p,h]=A;return typeof o=="string"?p.writeSync(h,o,a):p.writeSync(h,o,a,n,u)}async closePromise(r){if((r&wa)!==this.magic)return await this.baseFs.closePromise(r);let o=this.fdMap.get(r);if(typeof o>"u")throw Io("close");this.fdMap.delete(r);let[a,n]=o;return await a.closePromise(n)}closeSync(r){if((r&wa)!==this.magic)return this.baseFs.closeSync(r);let o=this.fdMap.get(r);if(typeof o>"u")throw Io("closeSync");this.fdMap.delete(r);let[a,n]=o;return a.closeSync(n)}createReadStream(r,o){return r===null?this.baseFs.createReadStream(r,o):this.makeCallSync(r,()=>this.baseFs.createReadStream(r,o),(a,{archivePath:n,subPath:u})=>{let A=a.createReadStream(u,o);return A.path=ue.fromPortablePath(this.pathUtils.join(n,u)),A})}createWriteStream(r,o){return r===null?this.baseFs.createWriteStream(r,o):this.makeCallSync(r,()=>this.baseFs.createWriteStream(r,o),(a,{subPath:n})=>a.createWriteStream(n,o))}async realpathPromise(r){return await this.makeCallPromise(r,async()=>await this.baseFs.realpathPromise(r),async(o,{archivePath:a,subPath:n})=>{let u=this.realPaths.get(a);return typeof u>"u"&&(u=await this.baseFs.realpathPromise(a),this.realPaths.set(a,u)),this.pathUtils.join(u,this.pathUtils.relative(Bt.root,await o.realpathPromise(n)))})}realpathSync(r){return this.makeCallSync(r,()=>this.baseFs.realpathSync(r),(o,{archivePath:a,subPath:n})=>{let u=this.realPaths.get(a);return typeof u>"u"&&(u=this.baseFs.realpathSync(a),this.realPaths.set(a,u)),this.pathUtils.join(u,this.pathUtils.relative(Bt.root,o.realpathSync(n)))})}async existsPromise(r){return await this.makeCallPromise(r,async()=>await this.baseFs.existsPromise(r),async(o,{subPath:a})=>await o.existsPromise(a))}existsSync(r){return this.makeCallSync(r,()=>this.baseFs.existsSync(r),(o,{subPath:a})=>o.existsSync(a))}async accessPromise(r,o){return await this.makeCallPromise(r,async()=>await this.baseFs.accessPromise(r,o),async(a,{subPath:n})=>await a.accessPromise(n,o))}accessSync(r,o){return this.makeCallSync(r,()=>this.baseFs.accessSync(r,o),(a,{subPath:n})=>a.accessSync(n,o))}async statPromise(r,o){return await this.makeCallPromise(r,async()=>await this.baseFs.statPromise(r,o),async(a,{subPath:n})=>await a.statPromise(n,o))}statSync(r,o){return this.makeCallSync(r,()=>this.baseFs.statSync(r,o),(a,{subPath:n})=>a.statSync(n,o))}async fstatPromise(r,o){if((r&wa)!==this.magic)return this.baseFs.fstatPromise(r,o);let a=this.fdMap.get(r);if(typeof a>"u")throw Io("fstat");let[n,u]=a;return n.fstatPromise(u,o)}fstatSync(r,o){if((r&wa)!==this.magic)return this.baseFs.fstatSync(r,o);let a=this.fdMap.get(r);if(typeof a>"u")throw Io("fstatSync");let[n,u]=a;return n.fstatSync(u,o)}async lstatPromise(r,o){return await this.makeCallPromise(r,async()=>await this.baseFs.lstatPromise(r,o),async(a,{subPath:n})=>await a.lstatPromise(n,o))}lstatSync(r,o){return this.makeCallSync(r,()=>this.baseFs.lstatSync(r,o),(a,{subPath:n})=>a.lstatSync(n,o))}async fchmodPromise(r,o){if((r&wa)!==this.magic)return this.baseFs.fchmodPromise(r,o);let a=this.fdMap.get(r);if(typeof a>"u")throw Io("fchmod");let[n,u]=a;return n.fchmodPromise(u,o)}fchmodSync(r,o){if((r&wa)!==this.magic)return this.baseFs.fchmodSync(r,o);let a=this.fdMap.get(r);if(typeof a>"u")throw Io("fchmodSync");let[n,u]=a;return n.fchmodSync(u,o)}async chmodPromise(r,o){return await this.makeCallPromise(r,async()=>await this.baseFs.chmodPromise(r,o),async(a,{subPath:n})=>await a.chmodPromise(n,o))}chmodSync(r,o){return this.makeCallSync(r,()=>this.baseFs.chmodSync(r,o),(a,{subPath:n})=>a.chmodSync(n,o))}async fchownPromise(r,o,a){if((r&wa)!==this.magic)return this.baseFs.fchownPromise(r,o,a);let n=this.fdMap.get(r);if(typeof n>"u")throw Io("fchown");let[u,A]=n;return u.fchownPromise(A,o,a)}fchownSync(r,o,a){if((r&wa)!==this.magic)return this.baseFs.fchownSync(r,o,a);let n=this.fdMap.get(r);if(typeof n>"u")throw Io("fchownSync");let[u,A]=n;return u.fchownSync(A,o,a)}async chownPromise(r,o,a){return await this.makeCallPromise(r,async()=>await this.baseFs.chownPromise(r,o,a),async(n,{subPath:u})=>await n.chownPromise(u,o,a))}chownSync(r,o,a){return this.makeCallSync(r,()=>this.baseFs.chownSync(r,o,a),(n,{subPath:u})=>n.chownSync(u,o,a))}async renamePromise(r,o){return await this.makeCallPromise(r,async()=>await this.makeCallPromise(o,async()=>await this.baseFs.renamePromise(r,o),async()=>{throw Object.assign(new Error("EEXDEV: cross-device link not permitted"),{code:"EEXDEV"})}),async(a,{subPath:n})=>await this.makeCallPromise(o,async()=>{throw Object.assign(new Error("EEXDEV: cross-device link not permitted"),{code:"EEXDEV"})},async(u,{subPath:A})=>{if(a!==u)throw Object.assign(new Error("EEXDEV: cross-device link not permitted"),{code:"EEXDEV"});return await a.renamePromise(n,A)}))}renameSync(r,o){return this.makeCallSync(r,()=>this.makeCallSync(o,()=>this.baseFs.renameSync(r,o),()=>{throw Object.assign(new Error("EEXDEV: cross-device link not permitted"),{code:"EEXDEV"})}),(a,{subPath:n})=>this.makeCallSync(o,()=>{throw Object.assign(new Error("EEXDEV: cross-device link not permitted"),{code:"EEXDEV"})},(u,{subPath:A})=>{if(a!==u)throw Object.assign(new Error("EEXDEV: cross-device link not permitted"),{code:"EEXDEV"});return a.renameSync(n,A)}))}async copyFilePromise(r,o,a=0){let n=async(u,A,p,h)=>{if((a&jg.constants.COPYFILE_FICLONE_FORCE)!==0)throw Object.assign(new Error(`EXDEV: cross-device clone not permitted, copyfile '${A}' -> ${h}'`),{code:"EXDEV"});if(a&jg.constants.COPYFILE_EXCL&&await this.existsPromise(A))throw Object.assign(new Error(`EEXIST: file already exists, copyfile '${A}' -> '${h}'`),{code:"EEXIST"});let E;try{E=await u.readFilePromise(A)}catch{throw Object.assign(new Error(`EINVAL: invalid argument, copyfile '${A}' -> '${h}'`),{code:"EINVAL"})}await p.writeFilePromise(h,E)};return await this.makeCallPromise(r,async()=>await this.makeCallPromise(o,async()=>await this.baseFs.copyFilePromise(r,o,a),async(u,{subPath:A})=>await n(this.baseFs,r,u,A)),async(u,{subPath:A})=>await this.makeCallPromise(o,async()=>await n(u,A,this.baseFs,o),async(p,{subPath:h})=>u!==p?await n(u,A,p,h):await u.copyFilePromise(A,h,a)))}copyFileSync(r,o,a=0){let n=(u,A,p,h)=>{if((a&jg.constants.COPYFILE_FICLONE_FORCE)!==0)throw Object.assign(new Error(`EXDEV: cross-device clone not permitted, copyfile '${A}' -> ${h}'`),{code:"EXDEV"});if(a&jg.constants.COPYFILE_EXCL&&this.existsSync(A))throw Object.assign(new Error(`EEXIST: file already exists, copyfile '${A}' -> '${h}'`),{code:"EEXIST"});let E;try{E=u.readFileSync(A)}catch{throw Object.assign(new Error(`EINVAL: invalid argument, copyfile '${A}' -> '${h}'`),{code:"EINVAL"})}p.writeFileSync(h,E)};return this.makeCallSync(r,()=>this.makeCallSync(o,()=>this.baseFs.copyFileSync(r,o,a),(u,{subPath:A})=>n(this.baseFs,r,u,A)),(u,{subPath:A})=>this.makeCallSync(o,()=>n(u,A,this.baseFs,o),(p,{subPath:h})=>u!==p?n(u,A,p,h):u.copyFileSync(A,h,a)))}async appendFilePromise(r,o,a){return await this.makeCallPromise(r,async()=>await this.baseFs.appendFilePromise(r,o,a),async(n,{subPath:u})=>await n.appendFilePromise(u,o,a))}appendFileSync(r,o,a){return this.makeCallSync(r,()=>this.baseFs.appendFileSync(r,o,a),(n,{subPath:u})=>n.appendFileSync(u,o,a))}async writeFilePromise(r,o,a){return await this.makeCallPromise(r,async()=>await this.baseFs.writeFilePromise(r,o,a),async(n,{subPath:u})=>await n.writeFilePromise(u,o,a))}writeFileSync(r,o,a){return this.makeCallSync(r,()=>this.baseFs.writeFileSync(r,o,a),(n,{subPath:u})=>n.writeFileSync(u,o,a))}async unlinkPromise(r){return await this.makeCallPromise(r,async()=>await this.baseFs.unlinkPromise(r),async(o,{subPath:a})=>await o.unlinkPromise(a))}unlinkSync(r){return this.makeCallSync(r,()=>this.baseFs.unlinkSync(r),(o,{subPath:a})=>o.unlinkSync(a))}async utimesPromise(r,o,a){return await this.makeCallPromise(r,async()=>await this.baseFs.utimesPromise(r,o,a),async(n,{subPath:u})=>await n.utimesPromise(u,o,a))}utimesSync(r,o,a){return this.makeCallSync(r,()=>this.baseFs.utimesSync(r,o,a),(n,{subPath:u})=>n.utimesSync(u,o,a))}async lutimesPromise(r,o,a){return await this.makeCallPromise(r,async()=>await this.baseFs.lutimesPromise(r,o,a),async(n,{subPath:u})=>await n.lutimesPromise(u,o,a))}lutimesSync(r,o,a){return this.makeCallSync(r,()=>this.baseFs.lutimesSync(r,o,a),(n,{subPath:u})=>n.lutimesSync(u,o,a))}async mkdirPromise(r,o){return await this.makeCallPromise(r,async()=>await this.baseFs.mkdirPromise(r,o),async(a,{subPath:n})=>await a.mkdirPromise(n,o))}mkdirSync(r,o){return this.makeCallSync(r,()=>this.baseFs.mkdirSync(r,o),(a,{subPath:n})=>a.mkdirSync(n,o))}async rmdirPromise(r,o){return await this.makeCallPromise(r,async()=>await this.baseFs.rmdirPromise(r,o),async(a,{subPath:n})=>await a.rmdirPromise(n,o))}rmdirSync(r,o){return this.makeCallSync(r,()=>this.baseFs.rmdirSync(r,o),(a,{subPath:n})=>a.rmdirSync(n,o))}async linkPromise(r,o){return await this.makeCallPromise(o,async()=>await this.baseFs.linkPromise(r,o),async(a,{subPath:n})=>await a.linkPromise(r,n))}linkSync(r,o){return this.makeCallSync(o,()=>this.baseFs.linkSync(r,o),(a,{subPath:n})=>a.linkSync(r,n))}async symlinkPromise(r,o,a){return await this.makeCallPromise(o,async()=>await this.baseFs.symlinkPromise(r,o,a),async(n,{subPath:u})=>await n.symlinkPromise(r,u))}symlinkSync(r,o,a){return this.makeCallSync(o,()=>this.baseFs.symlinkSync(r,o,a),(n,{subPath:u})=>n.symlinkSync(r,u))}async readFilePromise(r,o){return this.makeCallPromise(r,async()=>await this.baseFs.readFilePromise(r,o),async(a,{subPath:n})=>await a.readFilePromise(n,o))}readFileSync(r,o){return this.makeCallSync(r,()=>this.baseFs.readFileSync(r,o),(a,{subPath:n})=>a.readFileSync(n,o))}async readdirPromise(r,o){return await this.makeCallPromise(r,async()=>await this.baseFs.readdirPromise(r,o),async(a,{subPath:n})=>await a.readdirPromise(n,o),{requireSubpath:!1})}readdirSync(r,o){return this.makeCallSync(r,()=>this.baseFs.readdirSync(r,o),(a,{subPath:n})=>a.readdirSync(n,o),{requireSubpath:!1})}async readlinkPromise(r){return await this.makeCallPromise(r,async()=>await this.baseFs.readlinkPromise(r),async(o,{subPath:a})=>await o.readlinkPromise(a))}readlinkSync(r){return this.makeCallSync(r,()=>this.baseFs.readlinkSync(r),(o,{subPath:a})=>o.readlinkSync(a))}async truncatePromise(r,o){return await this.makeCallPromise(r,async()=>await this.baseFs.truncatePromise(r,o),async(a,{subPath:n})=>await a.truncatePromise(n,o))}truncateSync(r,o){return this.makeCallSync(r,()=>this.baseFs.truncateSync(r,o),(a,{subPath:n})=>a.truncateSync(n,o))}async ftruncatePromise(r,o){if((r&wa)!==this.magic)return this.baseFs.ftruncatePromise(r,o);let a=this.fdMap.get(r);if(typeof a>"u")throw Io("ftruncate");let[n,u]=a;return n.ftruncatePromise(u,o)}ftruncateSync(r,o){if((r&wa)!==this.magic)return this.baseFs.ftruncateSync(r,o);let a=this.fdMap.get(r);if(typeof a>"u")throw Io("ftruncateSync");let[n,u]=a;return n.ftruncateSync(u,o)}watch(r,o,a){return this.makeCallSync(r,()=>this.baseFs.watch(r,o,a),(n,{subPath:u})=>n.watch(u,o,a))}watchFile(r,o,a){return this.makeCallSync(r,()=>this.baseFs.watchFile(r,o,a),()=>ry(this,r,o,a))}unwatchFile(r,o){return this.makeCallSync(r,()=>this.baseFs.unwatchFile(r,o),()=>Mg(this,r,o))}async makeCallPromise(r,o,a,{requireSubpath:n=!0}={}){if(typeof r!="string")return await o();let u=this.resolve(r),A=this.findMount(u);return A?n&&A.subPath==="/"?await o():await this.getMountPromise(A.archivePath,async p=>await a(p,A)):await o()}makeCallSync(r,o,a,{requireSubpath:n=!0}={}){if(typeof r!="string")return o();let u=this.resolve(r),A=this.findMount(u);return!A||n&&A.subPath==="/"?o():this.getMountSync(A.archivePath,p=>a(p,A))}findMount(r){if(this.filter&&!this.filter.test(r))return null;let o="";for(;;){let a=r.substring(o.length),n=this.getMountPoint(a,o);if(!n)return null;if(o=this.pathUtils.join(o,n),!this.isMount.has(o)){if(this.notMount.has(o))continue;try{if(this.typeCheck!==null&&(this.baseFs.lstatSync(o).mode&jg.constants.S_IFMT)!==this.typeCheck){this.notMount.add(o);continue}}catch{return null}this.isMount.add(o)}return{archivePath:o,subPath:this.pathUtils.join(Bt.root,r.substring(o.length))}}}limitOpenFiles(r){if(this.mountInstances===null)return;let o=Date.now(),a=o+this.maxAge,n=r===null?0:this.mountInstances.size-r;for(let[u,{childFs:A,expiresAt:p,refCount:h}]of this.mountInstances.entries())if(!(h!==0||A.hasOpenFileHandles?.())){if(o>=p){A.saveAndClose?.(),this.mountInstances.delete(u),n-=1;continue}else if(r===null||n<=0){a=p;break}A.saveAndClose?.(),this.mountInstances.delete(u),n-=1}this.limitOpenFilesTimeout===null&&(r===null&&this.mountInstances.size>0||r!==null)&&isFinite(a)&&(this.limitOpenFilesTimeout=setTimeout(()=>{this.limitOpenFilesTimeout=null,this.limitOpenFiles(null)},a-o).unref())}async getMountPromise(r,o){if(this.mountInstances){let a=this.mountInstances.get(r);if(!a){let n=await this.factoryPromise(this.baseFs,r);a=this.mountInstances.get(r),a||(a={childFs:n(),expiresAt:0,refCount:0})}this.mountInstances.delete(r),this.limitOpenFiles(this.maxOpenFiles-1),this.mountInstances.set(r,a),a.expiresAt=Date.now()+this.maxAge,a.refCount+=1;try{return await o(a.childFs)}finally{a.refCount-=1}}else{let a=(await this.factoryPromise(this.baseFs,r))();try{return await o(a)}finally{a.saveAndClose?.()}}}getMountSync(r,o){if(this.mountInstances){let a=this.mountInstances.get(r);return a||(a={childFs:this.factorySync(this.baseFs,r),expiresAt:0,refCount:0}),this.mountInstances.delete(r),this.limitOpenFiles(this.maxOpenFiles-1),this.mountInstances.set(r,a),a.expiresAt=Date.now()+this.maxAge,o(a.childFs)}else{let a=this.factorySync(this.baseFs,r);try{return o(a)}finally{a.saveAndClose?.()}}}}});var Zt,KT,Gw,$7=Et(()=>{_g();Ca();Zt=()=>Object.assign(new Error("ENOSYS: unsupported filesystem access"),{code:"ENOSYS"}),KT=class extends hf{constructor(){super(K)}getExtractHint(){throw Zt()}getRealPath(){throw Zt()}resolve(){throw Zt()}async openPromise(){throw Zt()}openSync(){throw Zt()}async opendirPromise(){throw Zt()}opendirSync(){throw Zt()}async readPromise(){throw Zt()}readSync(){throw Zt()}async writePromise(){throw Zt()}writeSync(){throw Zt()}async closePromise(){throw Zt()}closeSync(){throw Zt()}createWriteStream(){throw Zt()}createReadStream(){throw Zt()}async realpathPromise(){throw Zt()}realpathSync(){throw Zt()}async readdirPromise(){throw 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0},Ai.default.object(r)?(t.retry={...t.retry,...r},t.retry.methods=[...new Set(t.retry.methods.map(o=>o.toUpperCase()))],t.retry.statusCodes=[...new Set(t.retry.statusCodes)],t.retry.errorCodes=[...new Set(t.retry.errorCodes)]):Ai.default.number(r)&&(t.retry.limit=r),Ai.default.undefined(t.retry.maxRetryAfter)&&(t.retry.maxRetryAfter=Math.min(...[t.timeout.request,t.timeout.connect].filter(Ai.default.number))),Ai.default.object(t.pagination)){e&&(t.pagination={...e.pagination,...t.pagination});let{pagination:o}=t;if(!Ai.default.function_(o.transform))throw new Error("`options.pagination.transform` must be implemented");if(!Ai.default.function_(o.shouldContinue))throw new Error("`options.pagination.shouldContinue` must be implemented");if(!Ai.default.function_(o.filter))throw new TypeError("`options.pagination.filter` must be implemented");if(!Ai.default.function_(o.paginate))throw new Error("`options.pagination.paginate` must be implemented")}return t.responseType==="json"&&t.headers.accept===void 0&&(t.headers.accept="application/json"),t};I4.default=Git});var Lae=_(d1=>{"use strict";Object.defineProperty(d1,"__esModule",{value:!0});d1.retryAfterStatusCodes=void 0;d1.retryAfterStatusCodes=new Set([413,429,503]);var Yit=({attemptCount:t,retryOptions:e,error:r,retryAfter:o})=>{if(t>e.limit)return 0;let a=e.methods.includes(r.options.method),n=e.errorCodes.includes(r.code),u=r.response&&e.statusCodes.includes(r.response.statusCode);if(!a||!n&&!u)return 0;if(r.response){if(o)return e.maxRetryAfter===void 0||o>e.maxRetryAfter?0:o;if(r.response.statusCode===413)return 0}let A=Math.random()*100;return 2**(t-1)*1e3+A};d1.default=Yit});var E1=_(Bn=>{"use strict";Object.defineProperty(Bn,"__esModule",{value:!0});Bn.UnsupportedProtocolError=Bn.ReadError=Bn.TimeoutError=Bn.UploadError=Bn.CacheError=Bn.HTTPError=Bn.MaxRedirectsError=Bn.RequestError=Bn.setNonEnumerableProperties=Bn.knownHookEvents=Bn.withoutBody=Bn.kIsNormalizedAlready=void 0;var Mae=Be("util"),Oae=Be("stream"),Wit=Be("fs"),oh=Be("url"),Uae=Be("http"),B4=Be("http"),Vit=Be("https"),Kit=eoe(),Jit=aoe(),_ae=Uoe(),zit=qoe(),Xit=yae(),Zit=tx(),st=Tf(),$it=Bae(),Hae=c4(),est=f4(),jae=Pae(),tst=xae(),qae=bae(),rst=kae(),nst=E4(),Gae=Fae(),ist=C4(),ah=Rae(),sst=Nae(),ost=Lae(),v4,Zs=Symbol("request"),cx=Symbol("response"),PE=Symbol("responseSize"),SE=Symbol("downloadedSize"),xE=Symbol("bodySize"),bE=Symbol("uploadedSize"),ax=Symbol("serverResponsesPiped"),Yae=Symbol("unproxyEvents"),Wae=Symbol("isFromCache"),D4=Symbol("cancelTimeouts"),Vae=Symbol("startedReading"),kE=Symbol("stopReading"),lx=Symbol("triggerRead"),lh=Symbol("body"),m1=Symbol("jobs"),Kae=Symbol("originalResponse"),Jae=Symbol("retryTimeout");Bn.kIsNormalizedAlready=Symbol("isNormalizedAlready");var ast=st.default.string(process.versions.brotli);Bn.withoutBody=new Set(["GET","HEAD"]);Bn.knownHookEvents=["init","beforeRequest","beforeRedirect","beforeError","beforeRetry","afterResponse"];function lst(t){for(let e in t){let r=t[e];if(!st.default.string(r)&&!st.default.number(r)&&!st.default.boolean(r)&&!st.default.null_(r)&&!st.default.undefined(r))throw new TypeError(`The \`searchParams\` value '${String(r)}' must be a string, number, boolean or null`)}}function cst(t){return st.default.object(t)&&!("statusCode"in t)}var P4=new rst.default,ust=async t=>new Promise((e,r)=>{let o=a=>{r(a)};t.pending||e(),t.once("error",o),t.once("ready",()=>{t.off("error",o),e()})}),Ast=new Set([300,301,302,303,304,307,308]),fst=["context","body","json","form"];Bn.setNonEnumerableProperties=(t,e)=>{let r={};for(let o of t)if(!!o)for(let a of fst)a in o&&(r[a]={writable:!0,configurable:!0,enumerable:!1,value:o[a]});Object.defineProperties(e,r)};var Ki=class extends Error{constructor(e,r,o){var a;if(super(e),Error.captureStackTrace(this,this.constructor),this.name="RequestError",this.code=r.code,o instanceof dx?(Object.defineProperty(this,"request",{enumerable:!1,value:o}),Object.defineProperty(this,"response",{enumerable:!1,value:o[cx]}),Object.defineProperty(this,"options",{enumerable:!1,value:o.options})):Object.defineProperty(this,"options",{enumerable:!1,value:o}),this.timings=(a=this.request)===null||a===void 0?void 0:a.timings,st.default.string(r.stack)&&st.default.string(this.stack)){let n=this.stack.indexOf(this.message)+this.message.length,u=this.stack.slice(n).split(` +`).reverse(),A=r.stack.slice(r.stack.indexOf(r.message)+r.message.length).split(` +`).reverse();for(;A.length!==0&&A[0]===u[0];)u.shift();this.stack=`${this.stack.slice(0,n)}${u.reverse().join(` +`)}${A.reverse().join(` +`)}`}}};Bn.RequestError=Ki;var ux=class extends Ki{constructor(e){super(`Redirected ${e.options.maxRedirects} times. Aborting.`,{},e),this.name="MaxRedirectsError"}};Bn.MaxRedirectsError=ux;var Ax=class extends Ki{constructor(e){super(`Response code ${e.statusCode} (${e.statusMessage})`,{},e.request),this.name="HTTPError"}};Bn.HTTPError=Ax;var fx=class extends Ki{constructor(e,r){super(e.message,e,r),this.name="CacheError"}};Bn.CacheError=fx;var px=class extends Ki{constructor(e,r){super(e.message,e,r),this.name="UploadError"}};Bn.UploadError=px;var hx=class extends Ki{constructor(e,r,o){super(e.message,e,o),this.name="TimeoutError",this.event=e.event,this.timings=r}};Bn.TimeoutError=hx;var y1=class extends Ki{constructor(e,r){super(e.message,e,r),this.name="ReadError"}};Bn.ReadError=y1;var gx=class extends Ki{constructor(e){super(`Unsupported protocol "${e.url.protocol}"`,{},e),this.name="UnsupportedProtocolError"}};Bn.UnsupportedProtocolError=gx;var pst=["socket","connect","continue","information","upgrade","timeout"],dx=class extends Oae.Duplex{constructor(e,r={},o){super({autoDestroy:!1,highWaterMark:0}),this[SE]=0,this[bE]=0,this.requestInitialized=!1,this[ax]=new Set,this.redirects=[],this[kE]=!1,this[lx]=!1,this[m1]=[],this.retryCount=0,this._progressCallbacks=[];let a=()=>this._unlockWrite(),n=()=>this._lockWrite();this.on("pipe",h=>{h.prependListener("data",a),h.on("data",n),h.prependListener("end",a),h.on("end",n)}),this.on("unpipe",h=>{h.off("data",a),h.off("data",n),h.off("end",a),h.off("end",n)}),this.on("pipe",h=>{h instanceof B4.IncomingMessage&&(this.options.headers={...h.headers,...this.options.headers})});let{json:u,body:A,form:p}=r;if((u||A||p)&&this._lockWrite(),Bn.kIsNormalizedAlready in r)this.options=r;else try{this.options=this.constructor.normalizeArguments(e,r,o)}catch(h){st.default.nodeStream(r.body)&&r.body.destroy(),this.destroy(h);return}(async()=>{var h;try{this.options.body instanceof Wit.ReadStream&&await ust(this.options.body);let{url:E}=this.options;if(!E)throw new TypeError("Missing `url` property");if(this.requestUrl=E.toString(),decodeURI(this.requestUrl),await this._finalizeBody(),await this._makeRequest(),this.destroyed){(h=this[Zs])===null||h===void 0||h.destroy();return}for(let I of this[m1])I();this[m1].length=0,this.requestInitialized=!0}catch(E){if(E instanceof Ki){this._beforeError(E);return}this.destroyed||this.destroy(E)}})()}static normalizeArguments(e,r,o){var a,n,u,A,p;let h=r;if(st.default.object(e)&&!st.default.urlInstance(e))r={...o,...e,...r};else{if(e&&r&&r.url!==void 0)throw new TypeError("The `url` option is mutually exclusive with the `input` argument");r={...o,...r},e!==void 0&&(r.url=e),st.default.urlInstance(r.url)&&(r.url=new oh.URL(r.url.toString()))}if(r.cache===!1&&(r.cache=void 0),r.dnsCache===!1&&(r.dnsCache=void 0),st.assert.any([st.default.string,st.default.undefined],r.method),st.assert.any([st.default.object,st.default.undefined],r.headers),st.assert.any([st.default.string,st.default.urlInstance,st.default.undefined],r.prefixUrl),st.assert.any([st.default.object,st.default.undefined],r.cookieJar),st.assert.any([st.default.object,st.default.string,st.default.undefined],r.searchParams),st.assert.any([st.default.object,st.default.string,st.default.undefined],r.cache),st.assert.any([st.default.object,st.default.number,st.default.undefined],r.timeout),st.assert.any([st.default.object,st.default.undefined],r.context),st.assert.any([st.default.object,st.default.undefined],r.hooks),st.assert.any([st.default.boolean,st.default.undefined],r.decompress),st.assert.any([st.default.boolean,st.default.undefined],r.ignoreInvalidCookies),st.assert.any([st.default.boolean,st.default.undefined],r.followRedirect),st.assert.any([st.default.number,st.default.undefined],r.maxRedirects),st.assert.any([st.default.boolean,st.default.undefined],r.throwHttpErrors),st.assert.any([st.default.boolean,st.default.undefined],r.http2),st.assert.any([st.default.boolean,st.default.undefined],r.allowGetBody),st.assert.any([st.default.string,st.default.undefined],r.localAddress),st.assert.any([Gae.isDnsLookupIpVersion,st.default.undefined],r.dnsLookupIpVersion),st.assert.any([st.default.object,st.default.undefined],r.https),st.assert.any([st.default.boolean,st.default.undefined],r.rejectUnauthorized),r.https&&(st.assert.any([st.default.boolean,st.default.undefined],r.https.rejectUnauthorized),st.assert.any([st.default.function_,st.default.undefined],r.https.checkServerIdentity),st.assert.any([st.default.string,st.default.object,st.default.array,st.default.undefined],r.https.certificateAuthority),st.assert.any([st.default.string,st.default.object,st.default.array,st.default.undefined],r.https.key),st.assert.any([st.default.string,st.default.object,st.default.array,st.default.undefined],r.https.certificate),st.assert.any([st.default.string,st.default.undefined],r.https.passphrase),st.assert.any([st.default.string,st.default.buffer,st.default.array,st.default.undefined],r.https.pfx)),st.assert.any([st.default.object,st.default.undefined],r.cacheOptions),st.default.string(r.method)?r.method=r.method.toUpperCase():r.method="GET",r.headers===o?.headers?r.headers={...r.headers}:r.headers=Zit({...o?.headers,...r.headers}),"slashes"in r)throw new TypeError("The legacy `url.Url` has been deprecated. Use `URL` instead.");if("auth"in r)throw new TypeError("Parameter `auth` is deprecated. 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Use `followRedirect` instead.");if(r.agent){for(let b in r.agent)if(b!=="http"&&b!=="https"&&b!=="http2")throw new TypeError(`Expected the \`options.agent\` properties to be \`http\`, \`https\` or \`http2\`, got \`${b}\``)}return r.maxRedirects=(p=r.maxRedirects)!==null&&p!==void 0?p:0,Bn.setNonEnumerableProperties([o,h],r),sst.default(r,o)}_lockWrite(){let e=()=>{throw new TypeError("The payload has been already provided")};this.write=e,this.end=e}_unlockWrite(){this.write=super.write,this.end=super.end}async _finalizeBody(){let{options:e}=this,{headers:r}=e,o=!st.default.undefined(e.form),a=!st.default.undefined(e.json),n=!st.default.undefined(e.body),u=o||a||n,A=Bn.withoutBody.has(e.method)&&!(e.method==="GET"&&e.allowGetBody);if(this._cannotHaveBody=A,u){if(A)throw new TypeError(`The \`${e.method}\` method cannot be used with a body`);if([n,o,a].filter(p=>p).length>1)throw new TypeError("The `body`, `json` and `form` options are mutually exclusive");if(n&&!(e.body instanceof Oae.Readable)&&!st.default.string(e.body)&&!st.default.buffer(e.body)&&!Hae.default(e.body))throw new TypeError("The `body` option must be a stream.Readable, string or Buffer");if(o&&!st.default.object(e.form))throw new TypeError("The `form` option must be an Object");{let p=!st.default.string(r["content-type"]);n?(Hae.default(e.body)&&p&&(r["content-type"]=`multipart/form-data; boundary=${e.body.getBoundary()}`),this[lh]=e.body):o?(p&&(r["content-type"]="application/x-www-form-urlencoded"),this[lh]=new oh.URLSearchParams(e.form).toString()):(p&&(r["content-type"]="application/json"),this[lh]=e.stringifyJson(e.json));let h=await $it.default(this[lh],e.headers);st.default.undefined(r["content-length"])&&st.default.undefined(r["transfer-encoding"])&&!A&&!st.default.undefined(h)&&(r["content-length"]=String(h))}}else A?this._lockWrite():this._unlockWrite();this[xE]=Number(r["content-length"])||void 0}async _onResponseBase(e){let{options:r}=this,{url:o}=r;this[Kae]=e,r.decompress&&(e=zit(e));let a=e.statusCode,n=e;n.statusMessage=n.statusMessage?n.statusMessage:Uae.STATUS_CODES[a],n.url=r.url.toString(),n.requestUrl=this.requestUrl,n.redirectUrls=this.redirects,n.request=this,n.isFromCache=e.fromCache||!1,n.ip=this.ip,n.retryCount=this.retryCount,this[Wae]=n.isFromCache,this[PE]=Number(e.headers["content-length"])||void 0,this[cx]=e,e.once("end",()=>{this[PE]=this[SE],this.emit("downloadProgress",this.downloadProgress)}),e.once("error",A=>{e.destroy(),this._beforeError(new y1(A,this))}),e.once("aborted",()=>{this._beforeError(new y1({name:"Error",message:"The server aborted pending request",code:"ECONNRESET"},this))}),this.emit("downloadProgress",this.downloadProgress);let u=e.headers["set-cookie"];if(st.default.object(r.cookieJar)&&u){let A=u.map(async p=>r.cookieJar.setCookie(p,o.toString()));r.ignoreInvalidCookies&&(A=A.map(async p=>p.catch(()=>{})));try{await 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t.HEAPU8},errors:Nle,SEEK_SET:0,SEEK_CUR:1,SEEK_END:2,ZIP_CHECKCONS:4,ZIP_EXCL:2,ZIP_RDONLY:16,ZIP_FL_OVERWRITE:8192,ZIP_FL_COMPRESSED:4,ZIP_OPSYS_DOS:0,ZIP_OPSYS_AMIGA:1,ZIP_OPSYS_OPENVMS:2,ZIP_OPSYS_UNIX:3,ZIP_OPSYS_VM_CMS:4,ZIP_OPSYS_ATARI_ST:5,ZIP_OPSYS_OS_2:6,ZIP_OPSYS_MACINTOSH:7,ZIP_OPSYS_Z_SYSTEM:8,ZIP_OPSYS_CPM:9,ZIP_OPSYS_WINDOWS_NTFS:10,ZIP_OPSYS_MVS:11,ZIP_OPSYS_VSE:12,ZIP_OPSYS_ACORN_RISC:13,ZIP_OPSYS_VFAT:14,ZIP_OPSYS_ALTERNATE_MVS:15,ZIP_OPSYS_BEOS:16,ZIP_OPSYS_TANDEM:17,ZIP_OPSYS_OS_400:18,ZIP_OPSYS_OS_X:19,ZIP_CM_DEFAULT:-1,ZIP_CM_STORE:0,ZIP_CM_DEFLATE:8,uint08S:t._malloc(1),uint32S:t._malloc(4),malloc:t._malloc,free:t._free,getValue:t.getValue,openFromSource:t.cwrap("zip_open_from_source","number",["number","number","number"]),close:t.cwrap("zip_close","number",["number"]),discard:t.cwrap("zip_discard",null,["number"]),getError:t.cwrap("zip_get_error","number",["number"]),getName:t.cwrap("zip_get_name","string",["number","number","number"]),getNumEntries:t.cwrap("zip_get_num_entries","number",["number","number"]),delete:t.cwrap("zip_delete","number",["number","number"]),statIndex:t.cwrap("zip_stat_index","number",["number",...Lf,"number","number"]),fopenIndex:t.cwrap("zip_fopen_index","number",["number",...Lf,"number"]),fread:t.cwrap("zip_fread","number",["number","number","number","number"]),fclose:t.cwrap("zip_fclose","number",["number"]),dir:{add:t.cwrap("zip_dir_add","number",["number","string"])},file:{add:t.cwrap("zip_file_add","number",["number","string","number","number"]),getError:t.cwrap("zip_file_get_error","number",["number"]),getExternalAttributes:t.cwrap("zip_file_get_external_attributes","number",["number",...Lf,"number","number","number"]),setExternalAttributes:t.cwrap("zip_file_set_external_attributes","number",["number",...Lf,"number","number","number"]),setMtime:t.cwrap("zip_file_set_mtime","number",["number",...Lf,"number","number"]),setCompression:t.cwrap("zip_set_file_compression","number",["number",...Lf,"number","number"])},ext:{countSymlinks:t.cwrap("zip_ext_count_symlinks","number",["number"])},error:{initWithCode:t.cwrap("zip_error_init_with_code",null,["number","number"]),strerror:t.cwrap("zip_error_strerror","string",["number"])},name:{locate:t.cwrap("zip_name_locate","number",["number","string","number"])},source:{fromUnattachedBuffer:t.cwrap("zip_source_buffer_create","number",["number",...Lf,"number","number"]),fromBuffer:t.cwrap("zip_source_buffer","number",["number","number",...Lf,"number"]),free:t.cwrap("zip_source_free",null,["number"]),keep:t.cwrap("zip_source_keep",null,["number"]),open:t.cwrap("zip_source_open","number",["number"]),close:t.cwrap("zip_source_close","number",["number"]),seek:t.cwrap("zip_source_seek","number",["number",...Lf,"number"]),tell:t.cwrap("zip_source_tell","number",["number"]),read:t.cwrap("zip_source_read","number",["number","number","number"]),error:t.cwrap("zip_source_error","number",["number"])},struct:{statS:t.cwrap("zipstruct_statS","number",[]),statSize:t.cwrap("zipstruct_stat_size","number",["number"]),statCompSize:t.cwrap("zipstruct_stat_comp_size","number",["number"]),statCompMethod:t.cwrap("zipstruct_stat_comp_method","number",["number"]),statMtime:t.cwrap("zipstruct_stat_mtime","number",["number"]),statCrc:t.cwrap("zipstruct_stat_crc","number",["number"]),errorS:t.cwrap("zipstruct_errorS","number",[]),errorCodeZip:t.cwrap("zipstruct_error_code_zip","number",["number"])}})});function iU(t,e){let r=t.indexOf(e);if(r<=0)return null;let o=r;for(;r>=0&&(o=r+e.length,t[o]!==K.sep);){if(t[r-1]===K.sep)return null;r=t.indexOf(e,o)}return t.length>o&&t[o]!==K.sep?null:t.slice(0,o)}var Jl,Ole=Et(()=>{Pt();Pt();nA();Jl=class extends _p{static async openPromise(e,r){let o=new Jl(r);try{return await e(o)}finally{o.saveAndClose()}}constructor(e={}){let r=e.fileExtensions,o=e.readOnlyArchives,a=typeof r>"u"?A=>iU(A,".zip"):A=>{for(let p of r){let h=iU(A,p);if(h)return h}return null},n=(A,p)=>new zi(p,{baseFs:A,readOnly:o,stats:A.statSync(p)}),u=async(A,p)=>{let h={baseFs:A,readOnly:o,stats:await A.statPromise(p)};return()=>new zi(p,h)};super({...e,factorySync:n,factoryPromise:u,getMountPoint:a})}}});function pot(t){if(typeof t=="string"&&String(+t)===t)return+t;if(typeof t=="number"&&Number.isFinite(t))return t<0?Date.now()/1e3:t;if(Ule.types.isDate(t))return t.getTime()/1e3;throw new Error("Invalid time")}function Tx(){return Buffer.from([80,75,5,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0])}var ta,sU,Ule,oU,_le,Rx,zi,aU=Et(()=>{Pt();Pt();Pt();Pt();Pt();Pt();ta=Be("fs"),sU=Be("stream"),Ule=Be("util"),oU=$e(Be("zlib"));tU();_le="mixed";Rx=class extends Error{constructor(r,o){super(r);this.name="Libzip Error",this.code=o}},zi=class extends Ou{constructor(r,o={}){super();this.listings=new Map;this.entries=new Map;this.fileSources=new Map;this.fds=new Map;this.nextFd=0;this.ready=!1;this.readOnly=!1;let a=o;if(this.level=typeof a.level<"u"?a.level:_le,r??=Tx(),typeof r=="string"){let{baseFs:A=new Rn}=a;this.baseFs=A,this.path=r}else this.path=null,this.baseFs=null;if(o.stats)this.stats=o.stats;else if(typeof r=="string")try{this.stats=this.baseFs.statSync(r)}catch(A){if(A.code==="ENOENT"&&a.create)this.stats=Ea.makeDefaultStats();else throw A}else this.stats=Ea.makeDefaultStats();this.libzip=S1();let n=this.libzip.malloc(4);try{let A=0;o.readOnly&&(A|=this.libzip.ZIP_RDONLY,this.readOnly=!0),typeof r=="string"&&(r=a.create?Tx():this.baseFs.readFileSync(r));let p=this.allocateUnattachedSource(r);try{this.zip=this.libzip.openFromSource(p,A,n),this.lzSource=p}catch(h){throw this.libzip.source.free(p),h}if(this.zip===0){let h=this.libzip.struct.errorS();throw this.libzip.error.initWithCode(h,this.libzip.getValue(n,"i32")),this.makeLibzipError(h)}}finally{this.libzip.free(n)}this.listings.set(Bt.root,new Set);let u=this.libzip.getNumEntries(this.zip,0);for(let A=0;Ar)throw new Error("Overread");let n=this.libzip.HEAPU8.subarray(o,o+r);return Buffer.from(n)}finally{this.libzip.free(o)}}finally{this.libzip.source.close(this.lzSource),this.libzip.source.free(this.lzSource),this.ready=!1}}discardAndClose(){this.prepareClose(),this.libzip.discard(this.zip),this.ready=!1}saveAndClose(){if(!this.path||!this.baseFs)throw new Error("ZipFS cannot be saved and must be discarded when loaded from a buffer");if(this.readOnly){this.discardAndClose();return}let r=this.baseFs.existsSync(this.path)||this.stats.mode===Ea.DEFAULT_MODE?void 0:this.stats.mode;this.baseFs.writeFileSync(this.path,this.getBufferAndClose(),{mode:r}),this.ready=!1}resolve(r){return K.resolve(Bt.root,r)}async openPromise(r,o,a){return this.openSync(r,o,a)}openSync(r,o,a){let n=this.nextFd++;return this.fds.set(n,{cursor:0,p:r}),n}hasOpenFileHandles(){return!!this.fds.size}async opendirPromise(r,o){return this.opendirSync(r,o)}opendirSync(r,o={}){let a=this.resolveFilename(`opendir '${r}'`,r);if(!this.entries.has(a)&&!this.listings.has(a))throw ar.ENOENT(`opendir '${r}'`);let n=this.listings.get(a);if(!n)throw ar.ENOTDIR(`opendir '${r}'`);let u=[...n],A=this.openSync(a,"r");return SD(this,a,u,{onClose:()=>{this.closeSync(A)}})}async readPromise(r,o,a,n,u){return this.readSync(r,o,a,n,u)}readSync(r,o,a=0,n=o.byteLength,u=-1){let A=this.fds.get(r);if(typeof A>"u")throw ar.EBADF("read");let p=u===-1||u===null?A.cursor:u,h=this.readFileSync(A.p);h.copy(o,a,p,p+n);let E=Math.max(0,Math.min(h.length-p,n));return(u===-1||u===null)&&(A.cursor+=E),E}async writePromise(r,o,a,n,u){return typeof o=="string"?this.writeSync(r,o,u):this.writeSync(r,o,a,n,u)}writeSync(r,o,a,n,u){throw typeof this.fds.get(r)>"u"?ar.EBADF("read"):new Error("Unimplemented")}async closePromise(r){return this.closeSync(r)}closeSync(r){if(typeof this.fds.get(r)>"u")throw ar.EBADF("read");this.fds.delete(r)}createReadStream(r,{encoding:o}={}){if(r===null)throw new Error("Unimplemented");let a=this.openSync(r,"r"),n=Object.assign(new sU.PassThrough({emitClose:!0,autoDestroy:!0,destroy:(A,p)=>{clearImmediate(u),this.closeSync(a),p(A)}}),{close(){n.destroy()},bytesRead:0,path:r,pending:!1}),u=setImmediate(async()=>{try{let A=await this.readFilePromise(r,o);n.bytesRead=A.length,n.end(A)}catch(A){n.destroy(A)}});return n}createWriteStream(r,{encoding:o}={}){if(this.readOnly)throw ar.EROFS(`open '${r}'`);if(r===null)throw new Error("Unimplemented");let a=[],n=this.openSync(r,"w"),u=Object.assign(new sU.PassThrough({autoDestroy:!0,emitClose:!0,destroy:(A,p)=>{try{A?p(A):(this.writeFileSync(r,Buffer.concat(a),o),p(null))}catch(h){p(h)}finally{this.closeSync(n)}}}),{close(){u.destroy()},bytesWritten:0,path:r,pending:!1});return u.on("data",A=>{let p=Buffer.from(A);u.bytesWritten+=p.length,a.push(p)}),u}async realpathPromise(r){return this.realpathSync(r)}realpathSync(r){let o=this.resolveFilename(`lstat '${r}'`,r);if(!this.entries.has(o)&&!this.listings.has(o))throw ar.ENOENT(`lstat '${r}'`);return o}async existsPromise(r){return this.existsSync(r)}existsSync(r){if(!this.ready)throw ar.EBUSY(`archive closed, existsSync '${r}'`);if(this.symlinkCount===0){let a=K.resolve(Bt.root,r);return this.entries.has(a)||this.listings.has(a)}let o;try{o=this.resolveFilename(`stat '${r}'`,r,void 0,!1)}catch{return!1}return o===void 0?!1:this.entries.has(o)||this.listings.has(o)}async accessPromise(r,o){return this.accessSync(r,o)}accessSync(r,o=ta.constants.F_OK){let a=this.resolveFilename(`access '${r}'`,r);if(!this.entries.has(a)&&!this.listings.has(a))throw ar.ENOENT(`access '${r}'`);if(this.readOnly&&o&ta.constants.W_OK)throw ar.EROFS(`access '${r}'`)}async statPromise(r,o={bigint:!1}){return o.bigint?this.statSync(r,{bigint:!0}):this.statSync(r)}statSync(r,o={bigint:!1,throwIfNoEntry:!0}){let a=this.resolveFilename(`stat '${r}'`,r,void 0,o.throwIfNoEntry);if(a!==void 0){if(!this.entries.has(a)&&!this.listings.has(a)){if(o.throwIfNoEntry===!1)return;throw ar.ENOENT(`stat '${r}'`)}if(r[r.length-1]==="/"&&!this.listings.has(a))throw ar.ENOTDIR(`stat '${r}'`);return this.statImpl(`stat '${r}'`,a,o)}}async fstatPromise(r,o){return this.fstatSync(r,o)}fstatSync(r,o){let a=this.fds.get(r);if(typeof a>"u")throw ar.EBADF("fstatSync");let{p:n}=a,u=this.resolveFilename(`stat '${n}'`,n);if(!this.entries.has(u)&&!this.listings.has(u))throw ar.ENOENT(`stat '${n}'`);if(n[n.length-1]==="/"&&!this.listings.has(u))throw ar.ENOTDIR(`stat '${n}'`);return this.statImpl(`fstat '${n}'`,u,o)}async lstatPromise(r,o={bigint:!1}){return o.bigint?this.lstatSync(r,{bigint:!0}):this.lstatSync(r)}lstatSync(r,o={bigint:!1,throwIfNoEntry:!0}){let a=this.resolveFilename(`lstat '${r}'`,r,!1,o.throwIfNoEntry);if(a!==void 0){if(!this.entries.has(a)&&!this.listings.has(a)){if(o.throwIfNoEntry===!1)return;throw ar.ENOENT(`lstat '${r}'`)}if(r[r.length-1]==="/"&&!this.listings.has(a))throw ar.ENOTDIR(`lstat '${r}'`);return this.statImpl(`lstat '${r}'`,a,o)}}statImpl(r,o,a={}){let n=this.entries.get(o);if(typeof n<"u"){let u=this.libzip.struct.statS();if(this.libzip.statIndex(this.zip,n,0,0,u)===-1)throw this.makeLibzipError(this.libzip.getError(this.zip));let p=this.stats.uid,h=this.stats.gid,E=this.libzip.struct.statSize(u)>>>0,I=512,v=Math.ceil(E/I),b=(this.libzip.struct.statMtime(u)>>>0)*1e3,C=b,T=b,L=b,U=new Date(C),J=new Date(T),te=new Date(L),le=new Date(b),pe=this.listings.has(o)?ta.constants.S_IFDIR:this.isSymbolicLink(n)?ta.constants.S_IFLNK:ta.constants.S_IFREG,Ae=pe===ta.constants.S_IFDIR?493:420,ye=pe|this.getUnixMode(n,Ae)&511,ae=this.libzip.struct.statCrc(u),we=Object.assign(new Ea.StatEntry,{uid:p,gid:h,size:E,blksize:I,blocks:v,atime:U,birthtime:J,ctime:te,mtime:le,atimeMs:C,birthtimeMs:T,ctimeMs:L,mtimeMs:b,mode:ye,crc:ae});return a.bigint===!0?Ea.convertToBigIntStats(we):we}if(this.listings.has(o)){let u=this.stats.uid,A=this.stats.gid,p=0,h=512,E=0,I=this.stats.mtimeMs,v=this.stats.mtimeMs,b=this.stats.mtimeMs,C=this.stats.mtimeMs,T=new Date(I),L=new Date(v),U=new Date(b),J=new Date(C),te=ta.constants.S_IFDIR|493,le=0,pe=Object.assign(new Ea.StatEntry,{uid:u,gid:A,size:p,blksize:h,blocks:E,atime:T,birthtime:L,ctime:U,mtime:J,atimeMs:I,birthtimeMs:v,ctimeMs:b,mtimeMs:C,mode:te,crc:le});return a.bigint===!0?Ea.convertToBigIntStats(pe):pe}throw new Error("Unreachable")}getUnixMode(r,o){if(this.libzip.file.getExternalAttributes(this.zip,r,0,0,this.libzip.uint08S,this.libzip.uint32S)===-1)throw this.makeLibzipError(this.libzip.getError(this.zip));return this.libzip.getValue(this.libzip.uint08S,"i8")>>>0!==this.libzip.ZIP_OPSYS_UNIX?o:this.libzip.getValue(this.libzip.uint32S,"i32")>>>16}registerListing(r){let o=this.listings.get(r);if(o)return o;this.registerListing(K.dirname(r)).add(K.basename(r));let n=new Set;return this.listings.set(r,n),n}registerEntry(r,o){this.registerListing(K.dirname(r)).add(K.basename(r)),this.entries.set(r,o)}unregisterListing(r){this.listings.delete(r),this.listings.get(K.dirname(r))?.delete(K.basename(r))}unregisterEntry(r){this.unregisterListing(r);let o=this.entries.get(r);this.entries.delete(r),!(typeof o>"u")&&(this.fileSources.delete(o),this.isSymbolicLink(o)&&this.symlinkCount--)}deleteEntry(r,o){if(this.unregisterEntry(r),this.libzip.delete(this.zip,o)===-1)throw this.makeLibzipError(this.libzip.getError(this.zip))}resolveFilename(r,o,a=!0,n=!0){if(!this.ready)throw ar.EBUSY(`archive closed, ${r}`);let u=K.resolve(Bt.root,o);if(u==="/")return Bt.root;let A=this.entries.get(u);if(a&&A!==void 0)if(this.symlinkCount!==0&&this.isSymbolicLink(A)){let p=this.getFileSource(A).toString();return this.resolveFilename(r,K.resolve(K.dirname(u),p),!0,n)}else return u;for(;;){let p=this.resolveFilename(r,K.dirname(u),!0,n);if(p===void 0)return p;let h=this.listings.has(p),E=this.entries.has(p);if(!h&&!E){if(n===!1)return;throw ar.ENOENT(r)}if(!h)throw ar.ENOTDIR(r);if(u=K.resolve(p,K.basename(u)),!a||this.symlinkCount===0)break;let I=this.libzip.name.locate(this.zip,u.slice(1),0);if(I===-1)break;if(this.isSymbolicLink(I)){let v=this.getFileSource(I).toString();u=K.resolve(K.dirname(u),v)}else break}return u}allocateBuffer(r){Buffer.isBuffer(r)||(r=Buffer.from(r));let o=this.libzip.malloc(r.byteLength);if(!o)throw new Error("Couldn't allocate enough memory");return new Uint8Array(this.libzip.HEAPU8.buffer,o,r.byteLength).set(r),{buffer:o,byteLength:r.byteLength}}allocateUnattachedSource(r){let o=this.libzip.struct.errorS(),{buffer:a,byteLength:n}=this.allocateBuffer(r),u=this.libzip.source.fromUnattachedBuffer(a,n,0,1,o);if(u===0)throw this.libzip.free(o),this.makeLibzipError(o);return u}allocateSource(r){let{buffer:o,byteLength:a}=this.allocateBuffer(r),n=this.libzip.source.fromBuffer(this.zip,o,a,0,1);if(n===0)throw this.libzip.free(o),this.makeLibzipError(this.libzip.getError(this.zip));return n}setFileSource(r,o){let a=Buffer.isBuffer(o)?o:Buffer.from(o),n=K.relative(Bt.root,r),u=this.allocateSource(o);try{let A=this.libzip.file.add(this.zip,n,u,this.libzip.ZIP_FL_OVERWRITE);if(A===-1)throw this.makeLibzipError(this.libzip.getError(this.zip));if(this.level!=="mixed"){let p=this.level===0?this.libzip.ZIP_CM_STORE:this.libzip.ZIP_CM_DEFLATE;if(this.libzip.file.setCompression(this.zip,A,0,p,this.level)===-1)throw 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Plt=ob(),Slt=qE(),xlt=Be("events"),blt=BP(),klt=1024*1024,Qlt=nb(),lAe=sb(),Flt=WU(),Q3=Buffer.from([31,139]),Xl=Symbol("state"),Md=Symbol("writeEntry"),qf=Symbol("readEntry"),F3=Symbol("nextEntry"),cAe=Symbol("processEntry"),Zl=Symbol("extendedHeader"),W1=Symbol("globalExtendedHeader"),wh=Symbol("meta"),uAe=Symbol("emitMeta"),fi=Symbol("buffer"),Gf=Symbol("queue"),Od=Symbol("ended"),AAe=Symbol("emittedEnd"),Ud=Symbol("emit"),Fa=Symbol("unzip"),bb=Symbol("consumeChunk"),kb=Symbol("consumeChunkSub"),T3=Symbol("consumeBody"),fAe=Symbol("consumeMeta"),pAe=Symbol("consumeHeader"),Qb=Symbol("consuming"),R3=Symbol("bufferConcat"),N3=Symbol("maybeEnd"),V1=Symbol("writing"),Ih=Symbol("aborted"),Fb=Symbol("onDone"),_d=Symbol("sawValidEntry"),Tb=Symbol("sawNullBlock"),Rb=Symbol("sawEOF"),Tlt=t=>!0;hAe.exports=Plt(class extends xlt{constructor(e){e=e||{},super(e),this.file=e.file||"",this[_d]=null,this.on(Fb,r=>{(this[Xl]==="begin"||this[_d]===!1)&&this.warn("TAR_BAD_ARCHIVE","Unrecognized 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mfe=Be("assert"),Pct=V3(),Sct=GE(),{join:yfe}=Be("path"),xct=process.env.TESTING_TAR_FAKE_PLATFORM||process.platform,bct=xct==="win32";Efe.exports=()=>{let t=new Map,e=new Map,r=h=>h.split("/").slice(0,-1).reduce((I,v)=>(I.length&&(v=yfe(I[I.length-1],v)),I.push(v||"/"),I),[]),o=new Set,a=h=>{let E=e.get(h);if(!E)throw new Error("function does not have any path reservations");return{paths:E.paths.map(I=>t.get(I)),dirs:[...E.dirs].map(I=>t.get(I))}},n=h=>{let{paths:E,dirs:I}=a(h);return E.every(v=>v[0]===h)&&I.every(v=>v[0]instanceof Set&&v[0].has(h))},u=h=>o.has(h)||!n(h)?!1:(o.add(h),h(()=>A(h)),!0),A=h=>{if(!o.has(h))return!1;let{paths:E,dirs:I}=e.get(h),v=new Set;return E.forEach(b=>{let C=t.get(b);mfe.equal(C[0],h),C.length===1?t.delete(b):(C.shift(),typeof C[0]=="function"?v.add(C[0]):C[0].forEach(T=>v.add(T)))}),I.forEach(b=>{let C=t.get(b);mfe(C[0]instanceof 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Uct=Be("assert"),_ct=Nb(),vn=Be("fs"),Hct=$E(),Yf=Be("path"),Rfe=gfe(),vfe=r3(),jct=Cfe(),qct=n3(),fl=HE(),Gct=GE(),Yct=V3(),Dfe=Symbol("onEntry"),z3=Symbol("checkFs"),Pfe=Symbol("checkFs2"),Wb=Symbol("pruneCache"),X3=Symbol("isReusable"),tc=Symbol("makeFs"),Z3=Symbol("file"),$3=Symbol("directory"),Vb=Symbol("link"),Sfe=Symbol("symlink"),xfe=Symbol("hardlink"),bfe=Symbol("unsupported"),kfe=Symbol("checkPath"),vh=Symbol("mkdir"),Ro=Symbol("onError"),Gb=Symbol("pending"),Qfe=Symbol("pend"),iC=Symbol("unpend"),K3=Symbol("ended"),J3=Symbol("maybeClose"),e_=Symbol("skip"),J1=Symbol("doChown"),z1=Symbol("uid"),X1=Symbol("gid"),Z1=Symbol("checkedCwd"),Nfe=Be("crypto"),Lfe=Bfe(),Wct=process.env.TESTING_TAR_FAKE_PLATFORM||process.platform,$1=Wct==="win32",Vct=(t,e)=>{if(!$1)return vn.unlink(t,e);let r=t+".DELETE."+Nfe.randomBytes(16).toString("hex");vn.rename(t,r,o=>{if(o)return e(o);vn.unlink(r,e)})},Kct=t=>{if(!$1)return vn.unlinkSync(t);let e=t+".DELETE."+Nfe.randomBytes(16).toString("hex");vn.renameSync(t,e),vn.unlinkSync(e)},Ffe=(t,e,r)=>t===t>>>0?t:e===e>>>0?e:r,Tfe=t=>Yct(Gct(fl(t))).toLowerCase(),Jct=(t,e)=>{e=Tfe(e);for(let r of t.keys()){let o=Tfe(r);(o===e||o.indexOf(e+"/")===0)&&t.delete(r)}},zct=t=>{for(let e of t.keys())t.delete(e)},e2=class extends _ct{constructor(e){if(e||(e={}),e.ondone=r=>{this[K3]=!0,this[J3]()},super(e),this[Z1]=!1,this.reservations=jct(),this.transform=typeof e.transform=="function"?e.transform:null,this.writable=!0,this.readable=!1,this[Gb]=0,this[K3]=!1,this.dirCache=e.dirCache||new Map,typeof e.uid=="number"||typeof e.gid=="number"){if(typeof e.uid!="number"||typeof e.gid!="number")throw new TypeError("cannot set owner without number uid and gid");if(e.preserveOwner)throw new TypeError("cannot preserve owner in archive and also set owner explicitly");this.uid=e.uid,this.gid=e.gid,this.setOwner=!0}else this.uid=null,this.gid=null,this.setOwner=!1;e.preserveOwner===void 0&&typeof e.uid!="number"?this.preserveOwner=process.getuid&&process.getuid()===0:this.preserveOwner=!!e.preserveOwner,this.processUid=(this.preserveOwner||this.setOwner)&&process.getuid?process.getuid():null,this.processGid=(this.preserveOwner||this.setOwner)&&process.getgid?process.getgid():null,this.forceChown=e.forceChown===!0,this.win32=!!e.win32||$1,this.newer=!!e.newer,this.keep=!!e.keep,this.noMtime=!!e.noMtime,this.preservePaths=!!e.preservePaths,this.unlink=!!e.unlink,this.cwd=fl(Yf.resolve(e.cwd||process.cwd())),this.strip=+e.strip||0,this.processUmask=e.noChmod?0:process.umask(),this.umask=typeof e.umask=="number"?e.umask:this.processUmask,this.dmode=e.dmode||511&~this.umask,this.fmode=e.fmode||438&~this.umask,this.on("entry",r=>this[Dfe](r))}warn(e,r,o={}){return(e==="TAR_BAD_ARCHIVE"||e==="TAR_ABORT")&&(o.recoverable=!1),super.warn(e,r,o)}[J3](){this[K3]&&this[Gb]===0&&(this.emit("prefinish"),this.emit("finish"),this.emit("end"),this.emit("close"))}[kfe](e){if(this.strip){let r=fl(e.path).split("/");if(r.length=this.strip)e.linkpath=o.slice(this.strip).join("/");else return!1}}if(!this.preservePaths){let r=fl(e.path),o=r.split("/");if(o.includes("..")||$1&&/^[a-z]:\.\.$/i.test(o[0]))return this.warn("TAR_ENTRY_ERROR","path contains '..'",{entry:e,path:r}),!1;let[a,n]=qct(r);a&&(e.path=n,this.warn("TAR_ENTRY_INFO",`stripping ${a} from absolute path`,{entry:e,path:r}))}if(Yf.isAbsolute(e.path)?e.absolute=fl(Yf.resolve(e.path)):e.absolute=fl(Yf.resolve(this.cwd,e.path)),!this.preservePaths&&e.absolute.indexOf(this.cwd+"/")!==0&&e.absolute!==this.cwd)return this.warn("TAR_ENTRY_ERROR","path escaped extraction 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this[bfe](e)}}[Ro](e,r){e.name==="CwdError"?this.emit("error",e):(this.warn("TAR_ENTRY_ERROR",e,{entry:r}),this[iC](),r.resume())}[vh](e,r,o){Rfe(fl(e),{uid:this.uid,gid:this.gid,processUid:this.processUid,processGid:this.processGid,umask:this.processUmask,preserve:this.preservePaths,unlink:this.unlink,cache:this.dirCache,cwd:this.cwd,mode:r,noChmod:this.noChmod},o)}[J1](e){return this.forceChown||this.preserveOwner&&(typeof e.uid=="number"&&e.uid!==this.processUid||typeof e.gid=="number"&&e.gid!==this.processGid)||typeof this.uid=="number"&&this.uid!==this.processUid||typeof this.gid=="number"&&this.gid!==this.processGid}[z1](e){return Ffe(this.uid,e.uid,this.processUid)}[X1](e){return Ffe(this.gid,e.gid,this.processGid)}[Z3](e,r){let o=e.mode&4095||this.fmode,a=new Hct.WriteStream(e.absolute,{flags:Lfe(e.size),mode:o,autoClose:!1});a.on("error",p=>{a.fd&&vn.close(a.fd,()=>{}),a.write=()=>!0,this[Ro](p,e),r()});let n=1,u=p=>{if(p){a.fd&&vn.close(a.fd,()=>{}),this[Ro](p,e),r();return}--n===0&&vn.close(a.fd,h=>{h?this[Ro](h,e):this[iC](),r()})};a.on("finish",p=>{let h=e.absolute,E=a.fd;if(e.mtime&&!this.noMtime){n++;let I=e.atime||new Date,v=e.mtime;vn.futimes(E,I,v,b=>b?vn.utimes(h,I,v,C=>u(C&&b)):u())}if(this[J1](e)){n++;let I=this[z1](e),v=this[X1](e);vn.fchown(E,I,v,b=>b?vn.chown(h,I,v,C=>u(C&&b)):u())}u()});let A=this.transform&&this.transform(e)||e;A!==e&&(A.on("error",p=>{this[Ro](p,e),r()}),e.pipe(A)),A.pipe(a)}[$3](e,r){let o=e.mode&4095||this.dmode;this[vh](e.absolute,o,a=>{if(a){this[Ro](a,e),r();return}let n=1,u=A=>{--n===0&&(r(),this[iC](),e.resume())};e.mtime&&!this.noMtime&&(n++,vn.utimes(e.absolute,e.atime||new Date,e.mtime,u)),this[J1](e)&&(n++,vn.chown(e.absolute,this[z1](e),this[X1](e),u)),u()})}[bfe](e){e.unsupported=!0,this.warn("TAR_ENTRY_UNSUPPORTED",`unsupported entry type: ${e.type}`,{entry:e}),e.resume()}[Sfe](e,r){this[Vb](e,e.linkpath,"symlink",r)}[xfe](e,r){let 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this[Ro](u,e)}}let[r,o]=Yb(()=>vn.lstatSync(e.absolute));if(o&&(this.keep||this.newer&&o.mtime>e.mtime))return this[e_](e);if(r||this[X3](e,o))return this[tc](null,e);if(o.isDirectory()){if(e.type==="Directory"){let u=!this.noChmod&&e.mode&&(o.mode&4095)!==e.mode,[A]=u?Yb(()=>{vn.chmodSync(e.absolute,e.mode)}):[];return this[tc](A,e)}let[n]=Yb(()=>vn.rmdirSync(e.absolute));this[tc](n,e)}let[a]=e.absolute===this.cwd?[]:Yb(()=>Kct(e.absolute));this[tc](a,e)}[Z3](e,r){let o=e.mode&4095||this.fmode,a=A=>{let p;try{vn.closeSync(n)}catch(h){p=h}(A||p)&&this[Ro](A||p,e),r()},n;try{n=vn.openSync(e.absolute,Lfe(e.size),o)}catch(A){return a(A)}let u=this.transform&&this.transform(e)||e;u!==e&&(u.on("error",A=>this[Ro](A,e)),e.pipe(u)),u.on("data",A=>{try{vn.writeSync(n,A,0,A.length)}catch(p){a(p)}}),u.on("end",A=>{let p=null;if(e.mtime&&!this.noMtime){let h=e.atime||new Date,E=e.mtime;try{vn.futimesSync(n,h,E)}catch(I){try{vn.utimesSync(e.absolute,h,E)}catch{p=I}}}if(this[J1](e)){let h=this[z1](e),E=this[X1](e);try{vn.fchownSync(n,h,E)}catch(I){try{vn.chownSync(e.absolute,h,E)}catch{p=p||I}}}a(p)})}[$3](e,r){let o=e.mode&4095||this.dmode,a=this[vh](e.absolute,o);if(a){this[Ro](a,e),r();return}if(e.mtime&&!this.noMtime)try{vn.utimesSync(e.absolute,e.atime||new Date,e.mtime)}catch{}if(this[J1](e))try{vn.chownSync(e.absolute,this[z1](e),this[X1](e))}catch{}r(),e.resume()}[vh](e,r){try{return Rfe.sync(fl(e),{uid:this.uid,gid:this.gid,processUid:this.processUid,processGid:this.processGid,umask:this.processUmask,preserve:this.preservePaths,unlink:this.unlink,cache:this.dirCache,cwd:this.cwd,mode:r})}catch(o){return o}}[Vb](e,r,o,a){try{vn[o+"Sync"](r,e.absolute),a(),e.resume()}catch(n){return this[Ro](n,e)}}};e2.Sync=t_;Mfe.exports=e2});var jfe=_((SUt,Hfe)=>{"use strict";var Xct=LE(),Kb=r_(),Ufe=Be("fs"),_fe=$E(),Ofe=Be("path"),n_=GE();Hfe.exports=(t,e,r)=>{typeof t=="function"?(r=t,e=null,t={}):Array.isArray(t)&&(e=t,t={}),typeof e=="function"&&(r=e,e=null),e?e=Array.from(e):e=[];let o=Xct(t);if(o.sync&&typeof r=="function")throw new TypeError("callback not supported for sync tar functions");if(!o.file&&typeof r=="function")throw new TypeError("callback only supported with file option");return e.length&&Zct(o,e),o.file&&o.sync?$ct(o):o.file?eut(o,r):o.sync?tut(o):rut(o)};var Zct=(t,e)=>{let r=new Map(e.map(n=>[n_(n),!0])),o=t.filter,a=(n,u)=>{let A=u||Ofe.parse(n).root||".",p=n===A?!1:r.has(n)?r.get(n):a(Ofe.dirname(n),A);return r.set(n,p),p};t.filter=o?(n,u)=>o(n,u)&&a(n_(n)):n=>a(n_(n))},$ct=t=>{let e=new Kb.Sync(t),r=t.file,o=Ufe.statSync(r),a=t.maxReadSize||16*1024*1024;new _fe.ReadStreamSync(r,{readSize:a,size:o.size}).pipe(e)},eut=(t,e)=>{let r=new Kb(t),o=t.maxReadSize||16*1024*1024,a=t.file,n=new Promise((u,A)=>{r.on("error",A),r.on("close",u),Ufe.stat(a,(p,h)=>{if(p)A(p);else{let E=new _fe.ReadStream(a,{readSize:o,size:h.size});E.on("error",A),E.pipe(r)}})});return e?n.then(e,e):n},tut=t=>new Kb.Sync(t),rut=t=>new Kb(t)});var qfe=_(us=>{"use strict";us.c=us.create=vAe();us.r=us.replace=O3();us.t=us.list=Lb();us.u=us.update=TAe();us.x=us.extract=jfe();us.Pack=wb();us.Unpack=r_();us.Parse=Nb();us.ReadEntry=nb();us.WriteEntry=p3();us.Header=qE();us.Pax=sb();us.types=JU()});var i_,Gfe,Dh,t2,r2,Yfe=Et(()=>{i_=$e(nd()),Gfe=Be("worker_threads"),Dh=Symbol("kTaskInfo"),t2=class{constructor(e,r){this.fn=e;this.limit=(0,i_.default)(r.poolSize)}run(e){return this.limit(()=>this.fn(e))}},r2=class{constructor(e,r){this.source=e;this.workers=[];this.limit=(0,i_.default)(r.poolSize),this.cleanupInterval=setInterval(()=>{if(this.limit.pendingCount===0&&this.limit.activeCount===0){let o=this.workers.pop();o?o.terminate():clearInterval(this.cleanupInterval)}},5e3).unref()}createWorker(){this.cleanupInterval.refresh();let e=new Gfe.Worker(this.source,{eval:!0,execArgv:[...process.execArgv,"--unhandled-rejections=strict"]});return e.on("message",r=>{if(!e[Dh])throw new Error("Assertion failed: Worker sent a result without having a task assigned");e[Dh].resolve(r),e[Dh]=null,e.unref(),this.workers.push(e)}),e.on("error",r=>{e[Dh]?.reject(r),e[Dh]=null}),e.on("exit",r=>{r!==0&&e[Dh]?.reject(new Error(`Worker exited with code ${r}`)),e[Dh]=null}),e}run(e){return this.limit(()=>{let r=this.workers.pop()??this.createWorker();return r.ref(),new Promise((o,a)=>{r[Dh]={resolve:o,reject:a},r.postMessage(e)})})}}});var Vfe=_((QUt,Wfe)=>{var s_;Wfe.exports.getContent=()=>(typeof s_>"u"&&(s_=Be("zlib").brotliDecompressSync(Buffer.from("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oe.readFilePromise(e,"utf8");this.lockFileChecksum=zpe(o);let a=Vi(o);if(a.__metadata){let n=a.__metadata.version,u=a.__metadata.cacheKey;this.lockfileLastVersion=n,this.lockfileNeedsRefresh=n"u")throw new Error(`Assertion failed: Expected the lockfile entry to have a resolution field (${A})`);let h=xf(p.resolution,!0),E=new Mt;E.load(p,{yamlCompatibilityMode:!0});let I=E.version,v=E.languageName||r,b=p.linkType.toUpperCase(),C=p.conditions??null,T=E.dependencies,L=E.peerDependencies,U=E.dependenciesMeta,J=E.peerDependenciesMeta,te=E.bin;if(p.checksum!=null){let pe=typeof u<"u"&&!p.checksum.includes("/")?`${u}/${p.checksum}`:p.checksum;this.storedChecksums.set(h.locatorHash,pe)}let le={...h,version:I,languageName:v,linkType:b,conditions:C,dependencies:T,peerDependencies:L,dependenciesMeta:U,peerDependenciesMeta:J,bin:te};this.originalPackages.set(le.locatorHash,le);for(let pe of A.split(QAt)){let Ae=nh(pe);n<=6&&(Ae=this.configuration.normalizeDependency(Ae),Ae=In(Ae,Ae.range.replace(/^patch:[^@]+@(?!npm(:|%3A))/,"$1npm%3A"))),this.storedDescriptors.set(Ae.descriptorHash,Ae),this.storedResolutions.set(Ae.descriptorHash,h.locatorHash)}}}else o.includes("yarn lockfile v1")&&(this.lockfileLastVersion=-1)}}async setupWorkspaces(){this.workspaces=[],this.workspacesByCwd=new Map,this.workspacesByIdent=new Map;let e=new Set,r=(0,rk.default)(4),o=async(a,n)=>{if(e.has(n))return a;e.add(n);let u=new lC(n,{project:this});await r(()=>u.setup());let A=a.then(()=>{this.addWorkspace(u)});return Array.from(u.workspacesCwds).reduce(o,A)};await o(Promise.resolve(),this.cwd)}addWorkspace(e){let r=this.workspacesByIdent.get(e.anchoredLocator.identHash);if(typeof r<"u")throw new Error(`Duplicate workspace name ${cs(this.configuration,e.anchoredLocator)}: ${ue.fromPortablePath(e.cwd)} conflicts with ${ue.fromPortablePath(r.cwd)}`);this.workspaces.push(e),this.workspacesByCwd.set(e.cwd,e),this.workspacesByIdent.set(e.anchoredLocator.identHash,e)}get topLevelWorkspace(){return this.getWorkspaceByCwd(this.cwd)}tryWorkspaceByCwd(e){K.isAbsolute(e)||(e=K.resolve(this.cwd,e)),e=K.normalize(e).replace(/\/+$/,"");let r=this.workspacesByCwd.get(e);return r||null}getWorkspaceByCwd(e){let r=this.tryWorkspaceByCwd(e);if(!r)throw new Error(`Workspace not found (${e})`);return r}tryWorkspaceByFilePath(e){let r=null;for(let o of this.workspaces)K.relative(o.cwd,e).startsWith("../")||r&&r.cwd.length>=o.cwd.length||(r=o);return r||null}getWorkspaceByFilePath(e){let r=this.tryWorkspaceByFilePath(e);if(!r)throw new Error(`Workspace not found (${e})`);return r}tryWorkspaceByIdent(e){let r=this.workspacesByIdent.get(e.identHash);return typeof r>"u"?null:r}getWorkspaceByIdent(e){let r=this.tryWorkspaceByIdent(e);if(!r)throw new Error(`Workspace not found (${cs(this.configuration,e)})`);return r}tryWorkspaceByDescriptor(e){if(e.range.startsWith(Xn.protocol)){let o=e.range.slice(Xn.protocol.length);if(o!=="^"&&o!=="~"&&o!=="*"&&!ba(o))return this.tryWorkspaceByCwd(o)}let r=this.tryWorkspaceByIdent(e);return r===null||(Sf(e)&&(e=e1(e)),!r.accepts(e.range))?null:r}getWorkspaceByDescriptor(e){let r=this.tryWorkspaceByDescriptor(e);if(r===null)throw new Error(`Workspace not found (${qn(this.configuration,e)})`);return r}tryWorkspaceByLocator(e){let r=this.tryWorkspaceByIdent(e);return r===null||(Hc(e)&&(e=t1(e)),r.anchoredLocator.locatorHash!==e.locatorHash)?null:r}getWorkspaceByLocator(e){let r=this.tryWorkspaceByLocator(e);if(!r)throw new Error(`Workspace not found (${jr(this.configuration,e)})`);return r}deleteDescriptor(e){this.storedResolutions.delete(e),this.storedDescriptors.delete(e)}deleteLocator(e){this.originalPackages.delete(e),this.storedPackages.delete(e),this.accessibleLocators.delete(e)}forgetResolution(e){if("descriptorHash"in e){let r=this.storedResolutions.get(e.descriptorHash);this.deleteDescriptor(e.descriptorHash);let o=new Set(this.storedResolutions.values());typeof r<"u"&&!o.has(r)&&this.deleteLocator(r)}if("locatorHash"in e){this.deleteLocator(e.locatorHash);for(let[r,o]of this.storedResolutions)o===e.locatorHash&&this.deleteDescriptor(r)}}forgetTransientResolutions(){let e=this.configuration.makeResolver(),r=new Map;for(let[o,a]of this.storedResolutions.entries()){let n=r.get(a);n||r.set(a,n=new Set),n.add(o)}for(let o of this.originalPackages.values()){let a;try{a=e.shouldPersistResolution(o,{project:this,resolver:e})}catch{a=!1}if(!a){this.deleteLocator(o.locatorHash);let n=r.get(o.locatorHash);if(n){r.delete(o.locatorHash);for(let u of n)this.deleteDescriptor(u)}}}}forgetVirtualResolutions(){for(let e of this.storedPackages.values())for(let[r,o]of e.dependencies)Sf(o)&&e.dependencies.set(r,e1(o))}getDependencyMeta(e,r){let o={},n=this.topLevelWorkspace.manifest.dependenciesMeta.get(fn(e));if(!n)return o;let u=n.get(null);if(u&&Object.assign(o,u),r===null||!Xpe.default.valid(r))return o;for(let[A,p]of n)A!==null&&A===r&&Object.assign(o,p);return o}async findLocatorForLocation(e,{strict:r=!1}={}){let o=new Qi,a=this.configuration.getLinkers(),n={project:this,report:o};for(let u of a){let A=await u.findPackageLocator(e,n);if(A){if(r&&(await u.findPackageLocation(A,n)).replace(Jpe,"")!==e.replace(Jpe,""))continue;return A}}return null}async loadUserConfig(){let e=K.join(this.cwd,".pnp.cjs");await oe.existsPromise(e)&&vf(e).setup();let r=K.join(this.cwd,"yarn.config.cjs");return await oe.existsPromise(r)?vf(r):null}async preparePackage(e,{resolver:r,resolveOptions:o}){let a=await this.configuration.getPackageExtensions(),n=this.configuration.normalizePackage(e,{packageExtensions:a});for(let[u,A]of n.dependencies){let p=await this.configuration.reduceHook(E=>E.reduceDependency,A,this,n,A,{resolver:r,resolveOptions:o});if(!r1(A,p))throw new Error("Assertion failed: The descriptor ident cannot be changed through aliases");let h=r.bindDescriptor(p,n,o);n.dependencies.set(u,h)}return n}async resolveEverything(e){if(!this.workspacesByCwd||!this.workspacesByIdent)throw new Error("Workspaces must have been setup before calling this function");this.forgetVirtualResolutions();let r=new Map(this.originalPackages),o=[];e.lockfileOnly||this.forgetTransientResolutions();let a=e.resolver||this.configuration.makeResolver(),n=new sC(a);await n.setup(this,{report:e.report});let u=e.lockfileOnly?[new $b(a)]:[n,a],A=new vd([new oC(a),...u]),p=new vd([...u]),h=this.configuration.makeFetcher(),E=e.lockfileOnly?{project:this,report:e.report,resolver:A}:{project:this,report:e.report,resolver:A,fetchOptions:{project:this,cache:e.cache,checksums:this.storedChecksums,report:e.report,fetcher:h,cacheOptions:{mirrorWriteOnly:!0}}},I=new Map,v=new Map,b=new Map,C=new Map,T=new Map,L=new Map,U=this.topLevelWorkspace.anchoredLocator,J=new Set,te=[],le=_4(),pe=this.configuration.getSupportedArchitectures();await e.report.startProgressPromise(Xs.progressViaTitle(),async ce=>{let ne=async H=>{let lt=await Wy(async()=>await A.resolve(H,E),_e=>`${jr(this.configuration,H)}: ${_e}`);if(!n1(H,lt))throw new Error(`Assertion failed: The locator cannot be changed by the resolver (went from ${jr(this.configuration,H)} to ${jr(this.configuration,lt)})`);C.set(lt.locatorHash,lt),!r.delete(lt.locatorHash)&&!this.tryWorkspaceByLocator(lt)&&o.push(lt);let Qe=await this.preparePackage(lt,{resolver:A,resolveOptions:E}),be=Uc([...Qe.dependencies.values()].map(_e=>ht(_e)));return te.push(be),be.catch(()=>{}),v.set(Qe.locatorHash,Qe),Qe},ee=async H=>{let lt=T.get(H.locatorHash);if(typeof lt<"u")return lt;let Re=Promise.resolve().then(()=>ne(H));return T.set(H.locatorHash,Re),Re},Ie=async(H,lt)=>{let Re=await ht(lt);return I.set(H.descriptorHash,H),b.set(H.descriptorHash,Re.locatorHash),Re},ke=async H=>{ce.setTitle(qn(this.configuration,H));let lt=this.resolutionAliases.get(H.descriptorHash);if(typeof lt<"u")return Ie(H,this.storedDescriptors.get(lt));let Re=A.getResolutionDependencies(H,E),Qe=Object.fromEntries(await Uc(Object.entries(Re).map(async([Te,Je])=>{let He=A.bindDescriptor(Je,U,E),x=await ht(He);return J.add(x.locatorHash),[Te,x]}))),_e=(await Wy(async()=>await A.getCandidates(H,Qe,E),Te=>`${qn(this.configuration,H)}: ${Te}`))[0];if(typeof _e>"u")throw new zt(82,`${qn(this.configuration,H)}: No candidates found`);if(e.checkResolutions){let{locators:Te}=await p.getSatisfying(H,Qe,[_e],{...E,resolver:p});if(!Te.find(Je=>Je.locatorHash===_e.locatorHash))throw new zt(78,`Invalid resolution ${XI(this.configuration,H,_e)}`)}return I.set(H.descriptorHash,H),b.set(H.descriptorHash,_e.locatorHash),ee(_e)},ht=H=>{let lt=L.get(H.descriptorHash);if(typeof lt<"u")return lt;I.set(H.descriptorHash,H);let Re=Promise.resolve().then(()=>ke(H));return L.set(H.descriptorHash,Re),Re};for(let H of this.workspaces){let lt=H.anchoredDescriptor;te.push(ht(lt))}for(;te.length>0;){let H=[...te];te.length=0,await Uc(H)}});let Ae=sl(r.values(),ce=>this.tryWorkspaceByLocator(ce)?sl.skip:ce);if(o.length>0||Ae.length>0){let ce=new Set(this.workspaces.flatMap(H=>{let lt=v.get(H.anchoredLocator.locatorHash);if(!lt)throw new Error("Assertion failed: The workspace should have been resolved");return Array.from(lt.dependencies.values(),Re=>{let Qe=b.get(Re.descriptorHash);if(!Qe)throw new Error("Assertion failed: The resolution should have been registered");return Qe})})),ne=H=>ce.has(H.locatorHash)?"0":"1",ee=H=>xa(H),Ie=ks(o,[ne,ee]),ke=ks(Ae,[ne,ee]),ht=e.report.getRecommendedLength();Ie.length>0&&e.report.reportInfo(85,`${Ot(this.configuration,"+",yt.ADDED)} ${cS(this.configuration,Ie,ht)}`),ke.length>0&&e.report.reportInfo(85,`${Ot(this.configuration,"-",yt.REMOVED)} ${cS(this.configuration,ke,ht)}`)}let ye=new Set(this.resolutionAliases.values()),ae=new Set(v.keys()),we=new Set,Pe=new Map,g=[];NAt({project:this,accessibleLocators:we,volatileDescriptors:ye,optionalBuilds:ae,peerRequirements:Pe,peerWarnings:g,allDescriptors:I,allResolutions:b,allPackages:v});for(let ce of J)ae.delete(ce);for(let ce of ye)I.delete(ce),b.delete(ce);let Ee=new Set,De=new Set;for(let ce of v.values())ce.conditions!=null&&(!ae.has(ce.locatorHash)||(qS(ce,pe)||(qS(ce,le)&&e.report.reportWarningOnce(77,`${jr(this.configuration,ce)}: Your current architecture (${process.platform}-${process.arch}) is supported by this package, but is missing from the ${Ot(this.configuration,"supportedArchitectures",yt.SETTING)} setting`),De.add(ce.locatorHash)),Ee.add(ce.locatorHash)));this.storedResolutions=b,this.storedDescriptors=I,this.storedPackages=v,this.accessibleLocators=we,this.conditionalLocators=Ee,this.disabledLocators=De,this.originalPackages=C,this.optionalBuilds=ae,this.peerRequirements=Pe,this.peerWarnings=g}async fetchEverything({cache:e,report:r,fetcher:o,mode:a,persistProject:n=!0}){let u={mockedPackages:this.disabledLocators,unstablePackages:this.conditionalLocators},A=o||this.configuration.makeFetcher(),p={checksums:this.storedChecksums,project:this,cache:e,fetcher:A,report:r,cacheOptions:u},h=Array.from(new Set(ks(this.storedResolutions.values(),[C=>{let T=this.storedPackages.get(C);if(!T)throw new Error("Assertion failed: The locator should have been registered");return xa(T)}])));a==="update-lockfile"&&(h=h.filter(C=>!this.storedChecksums.has(C)));let E=!1,I=Xs.progressViaCounter(h.length);await r.reportProgress(I);let v=(0,rk.default)(FAt);if(await Uc(h.map(C=>v(async()=>{let T=this.storedPackages.get(C);if(!T)throw new Error("Assertion failed: The locator should have been registered");if(Hc(T))return;let L;try{L=await A.fetch(T,p)}catch(U){U.message=`${jr(this.configuration,T)}: ${U.message}`,r.reportExceptionOnce(U),E=U;return}L.checksum!=null?this.storedChecksums.set(T.locatorHash,L.checksum):this.storedChecksums.delete(T.locatorHash),L.releaseFs&&L.releaseFs()}).finally(()=>{I.tick()}))),E)throw E;let b=n&&a!=="update-lockfile"?await this.cacheCleanup({cache:e,report:r}):null;if(r.cacheMisses.size>0||b){let T=(await Promise.all([...r.cacheMisses].map(async Ae=>{let ye=this.storedPackages.get(Ae),ae=this.storedChecksums.get(Ae)??null,we=e.getLocatorPath(ye,ae);return(await oe.statPromise(we)).size}))).reduce((Ae,ye)=>Ae+ye,0)-(b?.size??0),L=r.cacheMisses.size,U=b?.count??0,J=`${nS(L,{zero:"No new packages",one:"A package was",more:`${Ot(this.configuration,L,yt.NUMBER)} packages were`})} added to the project`,te=`${nS(U,{zero:"none were",one:"one was",more:`${Ot(this.configuration,U,yt.NUMBER)} were`})} removed`,le=T!==0?` (${Ot(this.configuration,T,yt.SIZE_DIFF)})`:"",pe=U>0?L>0?`${J}, and ${te}${le}.`:`${J}, but ${te}${le}.`:`${J}${le}.`;r.reportInfo(13,pe)}}async linkEverything({cache:e,report:r,fetcher:o,mode:a}){let n={mockedPackages:this.disabledLocators,unstablePackages:this.conditionalLocators,skipIntegrityCheck:!0},u=o||this.configuration.makeFetcher(),A={checksums:this.storedChecksums,project:this,cache:e,fetcher:u,report:r,cacheOptions:n},p=this.configuration.getLinkers(),h={project:this,report:r},E=new Map(p.map(ce=>{let ne=ce.makeInstaller(h),ee=ce.getCustomDataKey(),Ie=this.linkersCustomData.get(ee);return typeof Ie<"u"&&ne.attachCustomData(Ie),[ce,ne]})),I=new Map,v=new Map,b=new Map,C=new Map(await Uc([...this.accessibleLocators].map(async ce=>{let ne=this.storedPackages.get(ce);if(!ne)throw new Error("Assertion failed: The locator should have been registered");return[ce,await u.fetch(ne,A)]}))),T=[],L=new Set,U=[];for(let ce of this.accessibleLocators){let ne=this.storedPackages.get(ce);if(typeof ne>"u")throw new Error("Assertion failed: The locator should have been registered");let ee=C.get(ne.locatorHash);if(typeof ee>"u")throw new Error("Assertion failed: The fetch result should have been registered");let Ie=[],ke=H=>{Ie.push(H)},ht=this.tryWorkspaceByLocator(ne);if(ht!==null){let H=[],{scripts:lt}=ht.manifest;for(let Qe of["preinstall","install","postinstall"])lt.has(Qe)&&H.push({type:0,script:Qe});try{for(let[Qe,be]of E)if(Qe.supportsPackage(ne,h)&&(await be.installPackage(ne,ee,{holdFetchResult:ke})).buildRequest!==null)throw new Error("Assertion failed: Linkers can't return build directives for workspaces; this responsibility befalls to the Yarn core")}finally{Ie.length===0?ee.releaseFs?.():T.push(Uc(Ie).catch(()=>{}).then(()=>{ee.releaseFs?.()}))}let Re=K.join(ee.packageFs.getRealPath(),ee.prefixPath);v.set(ne.locatorHash,Re),!Hc(ne)&&H.length>0&&b.set(ne.locatorHash,{buildDirectives:H,buildLocations:[Re]})}else{let H=p.find(Qe=>Qe.supportsPackage(ne,h));if(!H)throw new zt(12,`${jr(this.configuration,ne)} isn't supported by any available linker`);let lt=E.get(H);if(!lt)throw new Error("Assertion failed: The installer should have been registered");let Re;try{Re=await lt.installPackage(ne,ee,{holdFetchResult:ke})}finally{Ie.length===0?ee.releaseFs?.():T.push(Uc(Ie).then(()=>{}).then(()=>{ee.releaseFs?.()}))}I.set(ne.locatorHash,H),v.set(ne.locatorHash,Re.packageLocation),Re.buildRequest&&Re.packageLocation&&(Re.buildRequest.skipped?(L.add(ne.locatorHash),this.skippedBuilds.has(ne.locatorHash)||U.push([ne,Re.buildRequest.explain])):b.set(ne.locatorHash,{buildDirectives:Re.buildRequest.directives,buildLocations:[Re.packageLocation]}))}}let J=new Map;for(let ce of this.accessibleLocators){let ne=this.storedPackages.get(ce);if(!ne)throw new Error("Assertion failed: The locator should have been registered");let ee=this.tryWorkspaceByLocator(ne)!==null,Ie=async(ke,ht)=>{let H=v.get(ne.locatorHash);if(typeof H>"u")throw new Error(`Assertion failed: The package (${jr(this.configuration,ne)}) should have been registered`);let lt=[];for(let Re of ne.dependencies.values()){let Qe=this.storedResolutions.get(Re.descriptorHash);if(typeof Qe>"u")throw new Error(`Assertion failed: The resolution (${qn(this.configuration,Re)}, from ${jr(this.configuration,ne)})should have been registered`);let be=this.storedPackages.get(Qe);if(typeof be>"u")throw new Error(`Assertion failed: The package (${Qe}, resolved from ${qn(this.configuration,Re)}) should have been registered`);let _e=this.tryWorkspaceByLocator(be)===null?I.get(Qe):null;if(typeof _e>"u")throw new Error(`Assertion failed: The package (${Qe}, resolved from ${qn(this.configuration,Re)}) should have been registered`);_e===ke||_e===null?v.get(be.locatorHash)!==null&<.push([Re,be]):!ee&&H!==null&&Gy(J,Qe).push(H)}H!==null&&await ht.attachInternalDependencies(ne,lt)};if(ee)for(let[ke,ht]of E)ke.supportsPackage(ne,h)&&await Ie(ke,ht);else{let ke=I.get(ne.locatorHash);if(!ke)throw new Error("Assertion failed: The linker should have been found");let ht=E.get(ke);if(!ht)throw new Error("Assertion failed: The installer should have been registered");await Ie(ke,ht)}}for(let[ce,ne]of J){let ee=this.storedPackages.get(ce);if(!ee)throw new Error("Assertion failed: The package should have been registered");let Ie=I.get(ee.locatorHash);if(!Ie)throw new Error("Assertion failed: The linker should have been found");let ke=E.get(Ie);if(!ke)throw new Error("Assertion failed: The installer should have been registered");await ke.attachExternalDependents(ee,ne)}let te=new Map;for(let[ce,ne]of E){let ee=await ne.finalizeInstall();for(let Ie of ee?.records??[])Ie.buildRequest.skipped?(L.add(Ie.locator.locatorHash),this.skippedBuilds.has(Ie.locator.locatorHash)||U.push([Ie.locator,Ie.buildRequest.explain])):b.set(Ie.locator.locatorHash,{buildDirectives:Ie.buildRequest.directives,buildLocations:Ie.buildLocations});typeof ee?.customData<"u"&&te.set(ce.getCustomDataKey(),ee.customData)}if(this.linkersCustomData=te,await Uc(T),a==="skip-build")return;for(let[,ce]of ks(U,([ne])=>xa(ne)))ce(r);let le=new Set(this.storedPackages.keys()),pe=new Set(b.keys());for(let ce of pe)le.delete(ce);let Ae=(0,ek.createHash)("sha512");Ae.update(process.versions.node),await this.configuration.triggerHook(ce=>ce.globalHashGeneration,this,ce=>{Ae.update("\0"),Ae.update(ce)});let ye=Ae.digest("hex"),ae=new Map,we=ce=>{let ne=ae.get(ce.locatorHash);if(typeof ne<"u")return ne;let ee=this.storedPackages.get(ce.locatorHash);if(typeof ee>"u")throw new Error("Assertion failed: The package should have been registered");let Ie=(0,ek.createHash)("sha512");Ie.update(ce.locatorHash),ae.set(ce.locatorHash,"");for(let ke of ee.dependencies.values()){let ht=this.storedResolutions.get(ke.descriptorHash);if(typeof ht>"u")throw new Error(`Assertion failed: The resolution (${qn(this.configuration,ke)}) should have been registered`);let H=this.storedPackages.get(ht);if(typeof H>"u")throw new Error("Assertion failed: The package should have been registered");Ie.update(we(H))}return ne=Ie.digest("hex"),ae.set(ce.locatorHash,ne),ne},Pe=(ce,ne)=>{let ee=(0,ek.createHash)("sha512");ee.update(ye),ee.update(we(ce));for(let Ie of ne)ee.update(Ie);return ee.digest("hex")},g=new Map,Ee=!1,De=ce=>{let ne=new Set([ce.locatorHash]);for(let ee of ne){let Ie=this.storedPackages.get(ee);if(!Ie)throw new Error("Assertion failed: The package should have been registered");for(let ke of Ie.dependencies.values()){let ht=this.storedResolutions.get(ke.descriptorHash);if(!ht)throw new Error(`Assertion failed: The resolution (${qn(this.configuration,ke)}) should have been registered`);if(ht!==ce.locatorHash&&pe.has(ht))return!1;let H=this.storedPackages.get(ht);if(!H)throw new Error("Assertion failed: The package should have been registered");let lt=this.tryWorkspaceByLocator(H);if(lt){if(lt.anchoredLocator.locatorHash!==ce.locatorHash&&pe.has(lt.anchoredLocator.locatorHash))return!1;ne.add(lt.anchoredLocator.locatorHash)}ne.add(ht)}}return!0};for(;pe.size>0;){let ce=pe.size,ne=[];for(let ee of pe){let Ie=this.storedPackages.get(ee);if(!Ie)throw new Error("Assertion failed: The package should have been registered");if(!De(Ie))continue;let ke=b.get(Ie.locatorHash);if(!ke)throw new Error("Assertion failed: The build directive should have been registered");let ht=Pe(Ie,ke.buildLocations);if(this.storedBuildState.get(Ie.locatorHash)===ht){g.set(Ie.locatorHash,ht),pe.delete(ee);continue}Ee||(await this.persistInstallStateFile(),Ee=!0),this.storedBuildState.has(Ie.locatorHash)?r.reportInfo(8,`${jr(this.configuration,Ie)} must be rebuilt because its dependency tree changed`):r.reportInfo(7,`${jr(this.configuration,Ie)} must be built because it never has been before or the last one failed`);let H=ke.buildLocations.map(async lt=>{if(!K.isAbsolute(lt))throw new Error(`Assertion failed: Expected the build location to be absolute (not ${lt})`);for(let Re of ke.buildDirectives){let Qe=`# This file contains the result of Yarn building a package (${xa(Ie)}) +`;switch(Re.type){case 0:Qe+=`# Script name: ${Re.script} +`;break;case 1:Qe+=`# Script code: ${Re.script} +`;break}let be=null;if(!await oe.mktempPromise(async Te=>{let Je=K.join(Te,"build.log"),{stdout:He,stderr:x}=this.configuration.getSubprocessStreams(Je,{header:Qe,prefix:jr(this.configuration,Ie),report:r}),w;try{switch(Re.type){case 0:w=await Vx(Ie,Re.script,[],{cwd:lt,project:this,stdin:be,stdout:He,stderr:x});break;case 1:w=await wU(Ie,Re.script,[],{cwd:lt,project:this,stdin:be,stdout:He,stderr:x});break}}catch(F){x.write(F.stack),w=1}if(He.end(),x.end(),w===0)return!0;oe.detachTemp(Te);let S=`${jr(this.configuration,Ie)} couldn't be built successfully (exit code ${Ot(this.configuration,w,yt.NUMBER)}, logs can be found here: ${Ot(this.configuration,Je,yt.PATH)})`,y=this.optionalBuilds.has(Ie.locatorHash);return y?r.reportInfo(9,S):r.reportError(9,S),Jce&&r.reportFold(ue.fromPortablePath(Je),oe.readFileSync(Je,"utf8")),y}))return!1}return!0});ne.push(...H,Promise.allSettled(H).then(lt=>{pe.delete(ee),lt.every(Re=>Re.status==="fulfilled"&&Re.value===!0)&&g.set(Ie.locatorHash,ht)}))}if(await Uc(ne),ce===pe.size){let ee=Array.from(pe).map(Ie=>{let ke=this.storedPackages.get(Ie);if(!ke)throw new Error("Assertion failed: The package should have been registered");return jr(this.configuration,ke)}).join(", ");r.reportError(3,`Some packages have circular dependencies that make their build order unsatisfiable - as a result they won't be built (affected packages are: ${ee})`);break}}this.storedBuildState=g,this.skippedBuilds=L}async installWithNewReport(e,r){return(await Nt.start({configuration:this.configuration,json:e.json,stdout:e.stdout,forceSectionAlignment:!0,includeLogs:!e.json&&!e.quiet,includeVersion:!0},async a=>{await this.install({...r,report:a})})).exitCode()}async install(e){let r=this.configuration.get("nodeLinker");Ve.telemetry?.reportInstall(r);let o=!1;if(await e.report.startTimerPromise("Project validation",{skipIfEmpty:!0},async()=>{this.configuration.get("enableOfflineMode")&&e.report.reportWarning(90,"Offline work is enabled; Yarn won't fetch packages from the remote registry if it can avoid it"),await this.configuration.triggerHook(E=>E.validateProject,this,{reportWarning:(E,I)=>{e.report.reportWarning(E,I)},reportError:(E,I)=>{e.report.reportError(E,I),o=!0}})}),o)return;let a=await this.configuration.getPackageExtensions();for(let E of a.values())for(let[,I]of E)for(let v of I)v.status="inactive";let n=K.join(this.cwd,dr.lockfile),u=null;if(e.immutable)try{u=await oe.readFilePromise(n,"utf8")}catch(E){throw E.code==="ENOENT"?new zt(28,"The lockfile would have been created by this install, which is explicitly forbidden."):E}await e.report.startTimerPromise("Resolution step",async()=>{await this.resolveEverything(e)}),await e.report.startTimerPromise("Post-resolution validation",{skipIfEmpty:!0},async()=>{LAt(this,e.report);for(let[,E]of a)for(let[,I]of E)for(let v of I)if(v.userProvided){let b=Ot(this.configuration,v,yt.PACKAGE_EXTENSION);switch(v.status){case"inactive":e.report.reportWarning(68,`${b}: No matching package in the dependency tree; you may not need this rule anymore.`);break;case"redundant":e.report.reportWarning(69,`${b}: This rule seems redundant when applied on the original package; the extension may have been applied upstream.`);break}}if(u!==null){let E=Ug(u,this.generateLockfile());if(E!==u){let I=ppe(n,n,u,E,void 0,void 0,{maxEditLength:100});if(I){e.report.reportSeparator();for(let v of I.hunks){e.report.reportInfo(null,`@@ -${v.oldStart},${v.oldLines} 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Mt;E.version=A.linkType==="HARD"?A.version:"0.0.0-use.local",E.languageName=A.languageName,E.dependencies=new Map(A.dependencies),E.peerDependencies=new Map(A.peerDependencies),E.dependenciesMeta=new Map(A.dependenciesMeta),E.peerDependenciesMeta=new Map(A.peerDependenciesMeta),E.bin=new Map(A.bin);let I,v=this.storedChecksums.get(A.locatorHash);if(typeof v<"u"){let b=v.indexOf("/");if(b===-1)throw new Error("Assertion failed: Expected the checksum to reference its cache key");let C=v.slice(0,b),T=v.slice(b+1);C===o?I=T:I=v}r[h]={...E.exportTo({},{compatibilityMode:!1}),linkType:A.linkType.toLowerCase(),resolution:xa(A),checksum:I,conditions:A.conditions||void 0}}return`${[`# This file is generated by running "yarn install" inside your project. +`,`# Manual changes might be lost - proceed with caution! +`].join("")} +`+Ba(r)}async persistLockfile(){let e=K.join(this.cwd,dr.lockfile),r="";try{r=await oe.readFilePromise(e,"utf8")}catch{}let 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this.state.alert,this.options.show===!1?this.emit("alert"):this.stdout.write(Gd.code.beep)}cursorHide(){this.stdout.write(Gd.cursor.hide()),Ta.onExit(()=>this.cursorShow())}cursorShow(){this.stdout.write(Gd.cursor.show())}write(e){!e||(this.stdout&&this.state.show!==!1&&this.stdout.write(e),this.state.buffer+=e)}clear(e=0){let r=this.state.buffer;this.state.buffer="",!(!r&&!e||this.options.show===!1)&&this.stdout.write(Gd.cursor.down(e)+Gd.clear(r,this.width))}restore(){if(this.state.closed||this.options.show===!1)return;let{prompt:e,after:r,rest:o}=this.sections(),{cursor:a,initial:n="",input:u="",value:A=""}=this,p=this.state.size=o.length,h={after:r,cursor:a,initial:n,input:u,prompt:e,size:p,value:A},E=Gd.cursor.restore(h);E&&this.stdout.write(E)}sections(){let{buffer:e,input:r,prompt:o}=this.state;o=xhe.unstyle(o);let a=xhe.unstyle(e),n=a.indexOf(o),u=a.slice(0,n),p=a.slice(n).split(` +`),h=p[0],E=p[p.length-1],v=(o+(r?" "+r:"")).length,b=ve.call(this,this.value),this.result=()=>o.call(this,this.value),typeof r.initial=="function"&&(this.initial=await r.initial.call(this,this)),typeof r.onRun=="function"&&await r.onRun.call(this,this),typeof r.onSubmit=="function"){let a=r.onSubmit.bind(this),n=this.submit.bind(this);delete this.options.onSubmit,this.submit=async()=>(await a(this.name,this.value,this),n())}await this.start(),await this.render()}render(){throw new Error("expected prompt to have a custom render method")}run(){return new Promise(async(e,r)=>{if(this.once("submit",e),this.once("cancel",r),await this.skip())return this.render=()=>{},this.submit();await this.initialize(),this.emit("run")})}async element(e,r,o){let{options:a,state:n,symbols:u,timers:A}=this,p=A&&A[e];n.timer=p;let h=a[e]||n[e]||u[e],E=r&&r[e]!=null?r[e]:await h;if(E==="")return E;let I=await this.resolve(E,n,r,o);return!I&&r&&r[e]?this.resolve(h,n,r,o):I}async prefix(){let e=await this.element("prefix")||this.symbols,r=this.timers&&this.timers.prefix,o=this.state;return o.timer=r,Ta.isObject(e)&&(e=e[o.status]||e.pending),Ta.hasColor(e)?e:(this.styles[o.status]||this.styles.pending)(e)}async message(){let e=await this.element("message");return Ta.hasColor(e)?e:this.styles.strong(e)}async separator(){let e=await this.element("separator")||this.symbols,r=this.timers&&this.timers.separator,o=this.state;o.timer=r;let a=e[o.status]||e.pending||o.separator,n=await this.resolve(a,o);return Ta.isObject(n)&&(n=n[o.status]||n.pending),Ta.hasColor(n)?n:this.styles.muted(n)}async pointer(e,r){let o=await this.element("pointer",e,r);if(typeof o=="string"&&Ta.hasColor(o))return o;if(o){let a=this.styles,n=this.index===r,u=n?a.primary:h=>h,A=await this.resolve(o[n?"on":"off"]||o,this.state),p=Ta.hasColor(A)?A:u(A);return n?p:" ".repeat(A.length)}}async indicator(e,r){let o=await this.element("indicator",e,r);if(typeof o=="string"&&Ta.hasColor(o))return o;if(o){let a=this.styles,n=e.enabled===!0,u=n?a.success:a.dark,A=o[n?"on":"off"]||o;return Ta.hasColor(A)?A:u(A)}return""}body(){return null}footer(){if(this.state.status==="pending")return this.element("footer")}header(){if(this.state.status==="pending")return this.element("header")}async hint(){if(this.state.status==="pending"&&!this.isValue(this.state.input)){let e=await this.element("hint");return Ta.hasColor(e)?e:this.styles.muted(e)}}error(e){return this.state.submitted?"":e||this.state.error}format(e){return e}result(e){return e}validate(e){return this.options.required===!0?this.isValue(e):!0}isValue(e){return e!=null&&e!==""}resolve(e,...r){return Ta.resolve(this,e,...r)}get base(){return l2.prototype}get style(){return this.styles[this.state.status]}get height(){return this.options.rows||Ta.height(this.stdout,25)}get width(){return this.options.columns||Ta.width(this.stdout,80)}get size(){return{width:this.width,height:this.height}}set cursor(e){this.state.cursor=e}get cursor(){return this.state.cursor}set input(e){this.state.input=e}get input(){return this.state.input}set value(e){this.state.value=e}get value(){let{input:e,value:r}=this.state,o=[r,e].find(this.isValue.bind(this));return this.isValue(o)?o:this.initial}static get prompt(){return e=>new this(e).run()}};function lft(t){let e=a=>t[a]===void 0||typeof t[a]=="function",r=["actions","choices","initial","margin","roles","styles","symbols","theme","timers","value"],o=["body","footer","error","header","hint","indicator","message","prefix","separator","skip"];for(let a of Object.keys(t.options)){if(r.includes(a)||/^on[A-Z]/.test(a))continue;let n=t.options[a];typeof n=="function"&&e(a)?o.includes(a)||(t[a]=n.bind(t)):typeof t[a]!="function"&&(t[a]=n)}}function cft(t){typeof t=="number"&&(t=[t,t,t,t]);let e=[].concat(t||[]),r=a=>a%2===0?` +`:" ",o=[];for(let a=0;a<4;a++){let n=r(a);e[a]?o.push(n.repeat(e[a])):o.push("")}return o}bhe.exports=l2});var Fhe=_((s8t,Qhe)=>{"use strict";var uft=No(),khe={default(t,e){return e},checkbox(t,e){throw new Error("checkbox role is not implemented yet")},editable(t,e){throw new Error("editable role is not implemented yet")},expandable(t,e){throw new Error("expandable role is not implemented yet")},heading(t,e){return e.disabled="",e.indicator=[e.indicator," "].find(r=>r!=null),e.message=e.message||"",e},input(t,e){throw new Error("input role is not implemented yet")},option(t,e){return khe.default(t,e)},radio(t,e){throw new Error("radio role is not implemented yet")},separator(t,e){return e.disabled="",e.indicator=[e.indicator," "].find(r=>r!=null),e.message=e.message||t.symbols.line.repeat(5),e},spacer(t,e){return e}};Qhe.exports=(t,e={})=>{let r=uft.merge({},khe,e.roles);return r[t]||r.default}});var c2=_((o8t,Nhe)=>{"use strict";var Aft=Vc(),fft=hC(),pft=Fhe(),lk=No(),{reorder:W_,scrollUp:hft,scrollDown:gft,isObject:The,swap:dft}=lk,V_=class extends fft{constructor(e){super(e),this.cursorHide(),this.maxSelected=e.maxSelected||1/0,this.multiple=e.multiple||!1,this.initial=e.initial||0,this.delay=e.delay||0,this.longest=0,this.num=""}async initialize(){typeof this.options.initial=="function"&&(this.initial=await this.options.initial.call(this)),await this.reset(!0),await super.initialize()}async reset(){let{choices:e,initial:r,autofocus:o,suggest:a}=this.options;if(this.state._choices=[],this.state.choices=[],this.choices=await Promise.all(await this.toChoices(e)),this.choices.forEach(n=>n.enabled=!1),typeof a!="function"&&this.selectable.length===0)throw new Error("At least one choice must be selectable");The(r)&&(r=Object.keys(r)),Array.isArray(r)?(o!=null&&(this.index=this.findIndex(o)),r.forEach(n=>this.enable(this.find(n))),await this.render()):(o!=null&&(r=o),typeof r=="string"&&(r=this.findIndex(r)),typeof r=="number"&&r>-1&&(this.index=Math.max(0,Math.min(r,this.choices.length)),this.enable(this.find(this.index)))),this.isDisabled(this.focused)&&await this.down()}async toChoices(e,r){this.state.loadingChoices=!0;let o=[],a=0,n=async(u,A)=>{typeof u=="function"&&(u=await u.call(this)),u instanceof Promise&&(u=await u);for(let p=0;p(this.state.loadingChoices=!1,u))}async toChoice(e,r,o){if(typeof e=="function"&&(e=await e.call(this,this)),e instanceof Promise&&(e=await e),typeof e=="string"&&(e={name:e}),e.normalized)return e;e.normalized=!0;let a=e.value;if(e=pft(e.role,this.options)(this,e),typeof e.disabled=="string"&&!e.hint&&(e.hint=e.disabled,e.disabled=!0),e.disabled===!0&&e.hint==null&&(e.hint="(disabled)"),e.index!=null)return e;e.name=e.name||e.key||e.title||e.value||e.message,e.message=e.message||e.name||"",e.value=[e.value,e.name].find(this.isValue.bind(this)),e.input="",e.index=r,e.cursor=0,lk.define(e,"parent",o),e.level=o?o.level+1:1,e.indent==null&&(e.indent=o?o.indent+" ":e.indent||""),e.path=o?o.path+"."+e.name:e.name,e.enabled=!!(this.multiple&&!this.isDisabled(e)&&(e.enabled||this.isSelected(e))),this.isDisabled(e)||(this.longest=Math.max(this.longest,Aft.unstyle(e.message).length));let u={...e};return e.reset=(A=u.input,p=u.value)=>{for(let h of Object.keys(u))e[h]=u[h];e.input=A,e.value=p},a==null&&typeof e.initial=="function"&&(e.input=await e.initial.call(this,this.state,e,r)),e}async onChoice(e,r){this.emit("choice",e,r,this),typeof e.onChoice=="function"&&await e.onChoice.call(this,this.state,e,r)}async addChoice(e,r,o){let a=await this.toChoice(e,r,o);return this.choices.push(a),this.index=this.choices.length-1,this.limit=this.choices.length,a}async newItem(e,r,o){let a={name:"New choice name?",editable:!0,newChoice:!0,...e},n=await this.addChoice(a,r,o);return n.updateChoice=()=>{delete n.newChoice,n.name=n.message=n.input,n.input="",n.cursor=0},this.render()}indent(e){return e.indent==null?e.level>1?" ".repeat(e.level-1):"":e.indent}dispatch(e,r){if(this.multiple&&this[r.name])return this[r.name]();this.alert()}focus(e,r){return typeof r!="boolean"&&(r=e.enabled),r&&!e.enabled&&this.selected.length>=this.maxSelected?this.alert():(this.index=e.index,e.enabled=r&&!this.isDisabled(e),e)}space(){return this.multiple?(this.toggle(this.focused),this.render()):this.alert()}a(){if(this.maxSelectedr.enabled);return this.choices.forEach(r=>r.enabled=!e),this.render()}i(){return this.choices.length-this.selected.length>this.maxSelected?this.alert():(this.choices.forEach(e=>e.enabled=!e.enabled),this.render())}g(e=this.focused){return this.choices.some(r=>!!r.parent)?(this.toggle(e.parent&&!e.choices?e.parent:e),this.render()):this.a()}toggle(e,r){if(!e.enabled&&this.selected.length>=this.maxSelected)return this.alert();typeof r!="boolean"&&(r=!e.enabled),e.enabled=r,e.choices&&e.choices.forEach(a=>this.toggle(a,r));let o=e.parent;for(;o;){let a=o.choices.filter(n=>this.isDisabled(n));o.enabled=a.every(n=>n.enabled===!0),o=o.parent}return Rhe(this,this.choices),this.emit("toggle",e,this),e}enable(e){return this.selected.length>=this.maxSelected?this.alert():(e.enabled=!this.isDisabled(e),e.choices&&e.choices.forEach(this.enable.bind(this)),e)}disable(e){return e.enabled=!1,e.choices&&e.choices.forEach(this.disable.bind(this)),e}number(e){this.num+=e;let r=o=>{let a=Number(o);if(a>this.choices.length-1)return this.alert();let n=this.focused,u=this.choices.find(A=>a===A.index);if(!u.enabled&&this.selected.length>=this.maxSelected)return this.alert();if(this.visible.indexOf(u)===-1){let A=W_(this.choices),p=A.indexOf(u);if(n.index>p){let h=A.slice(p,p+this.limit),E=A.filter(I=>!h.includes(I));this.choices=h.concat(E)}else{let h=p-this.limit+1;this.choices=A.slice(h).concat(A.slice(0,h))}}return this.index=this.choices.indexOf(u),this.toggle(this.focused),this.render()};return clearTimeout(this.numberTimeout),new Promise(o=>{let a=this.choices.length,n=this.num,u=(A=!1,p)=>{clearTimeout(this.numberTimeout),A&&(p=r(n)),this.num="",o(p)};if(n==="0"||n.length===1&&Number(n+"0")>a)return u(!0);if(Number(n)>a)return u(!1,this.alert());this.numberTimeout=setTimeout(()=>u(!0),this.delay)})}home(){return this.choices=W_(this.choices),this.index=0,this.render()}end(){let e=this.choices.length-this.limit,r=W_(this.choices);return this.choices=r.slice(e).concat(r.slice(0,e)),this.index=this.limit-1,this.render()}first(){return this.index=0,this.render()}last(){return this.index=this.visible.length-1,this.render()}prev(){return this.visible.length<=1?this.alert():this.up()}next(){return this.visible.length<=1?this.alert():this.down()}right(){return this.cursor>=this.input.length?this.alert():(this.cursor++,this.render())}left(){return this.cursor<=0?this.alert():(this.cursor--,this.render())}up(){let e=this.choices.length,r=this.visible.length,o=this.index;return this.options.scroll===!1&&o===0?this.alert():e>r&&o===0?this.scrollUp():(this.index=(o-1%e+e)%e,this.isDisabled()?this.up():this.render())}down(){let e=this.choices.length,r=this.visible.length,o=this.index;return this.options.scroll===!1&&o===r-1?this.alert():e>r&&o===r-1?this.scrollDown():(this.index=(o+1)%e,this.isDisabled()?this.down():this.render())}scrollUp(e=0){return this.choices=hft(this.choices),this.index=e,this.isDisabled()?this.up():this.render()}scrollDown(e=this.visible.length-1){return this.choices=gft(this.choices),this.index=e,this.isDisabled()?this.down():this.render()}async shiftUp(){if(this.options.sort===!0){this.sorting=!0,this.swap(this.index-1),await this.up(),this.sorting=!1;return}return this.scrollUp(this.index)}async shiftDown(){if(this.options.sort===!0){this.sorting=!0,this.swap(this.index+1),await this.down(),this.sorting=!1;return}return this.scrollDown(this.index)}pageUp(){return this.visible.length<=1?this.alert():(this.limit=Math.max(this.limit-1,0),this.index=Math.min(this.limit-1,this.index),this._limit=this.limit,this.isDisabled()?this.up():this.render())}pageDown(){return this.visible.length>=this.choices.length?this.alert():(this.index=Math.max(0,this.index),this.limit=Math.min(this.limit+1,this.choices.length),this._limit=this.limit,this.isDisabled()?this.down():this.render())}swap(e){dft(this.choices,this.index,e)}isDisabled(e=this.focused){return e&&["disabled","collapsed","hidden","completing","readonly"].some(o=>e[o]===!0)?!0:e&&e.role==="heading"}isEnabled(e=this.focused){if(Array.isArray(e))return e.every(r=>this.isEnabled(r));if(e.choices){let r=e.choices.filter(o=>!this.isDisabled(o));return e.enabled&&r.every(o=>this.isEnabled(o))}return e.enabled&&!this.isDisabled(e)}isChoice(e,r){return e.name===r||e.index===Number(r)}isSelected(e){return Array.isArray(this.initial)?this.initial.some(r=>this.isChoice(e,r)):this.isChoice(e,this.initial)}map(e=[],r="value"){return[].concat(e||[]).reduce((o,a)=>(o[a]=this.find(a,r),o),{})}filter(e,r){let a=typeof e=="function"?e:(A,p)=>[A.name,p].includes(e),u=(this.options.multiple?this.state._choices:this.choices).filter(a);return r?u.map(A=>A[r]):u}find(e,r){if(The(e))return r?e[r]:e;let a=typeof e=="function"?e:(u,A)=>[u.name,A].includes(e),n=this.choices.find(a);if(n)return r?n[r]:n}findIndex(e){return this.choices.indexOf(this.find(e))}async submit(){let e=this.focused;if(!e)return this.alert();if(e.newChoice)return e.input?(e.updateChoice(),this.render()):this.alert();if(this.choices.some(u=>u.newChoice))return this.alert();let{reorder:r,sort:o}=this.options,a=this.multiple===!0,n=this.selected;return n===void 0?this.alert():(Array.isArray(n)&&r!==!1&&o!==!0&&(n=lk.reorder(n)),this.value=a?n.map(u=>u.name):n.name,super.submit())}set choices(e=[]){this.state._choices=this.state._choices||[],this.state.choices=e;for(let r of e)this.state._choices.some(o=>o.name===r.name)||this.state._choices.push(r);if(!this._initial&&this.options.initial){this._initial=!0;let r=this.initial;if(typeof r=="string"||typeof r=="number"){let o=this.find(r);o&&(this.initial=o.index,this.focus(o,!0))}}}get choices(){return Rhe(this,this.state.choices||[])}set visible(e){this.state.visible=e}get visible(){return(this.state.visible||this.choices).slice(0,this.limit)}set limit(e){this.state.limit=e}get limit(){let{state:e,options:r,choices:o}=this,a=e.limit||this._limit||r.limit||o.length;return Math.min(a,this.height)}set value(e){super.value=e}get value(){return typeof super.value!="string"&&super.value===this.initial?this.input:super.value}set index(e){this.state.index=e}get index(){return Math.max(0,this.state?this.state.index:0)}get enabled(){return this.filter(this.isEnabled.bind(this))}get focused(){let e=this.choices[this.index];return e&&this.state.submitted&&this.multiple!==!0&&(e.enabled=!0),e}get selectable(){return this.choices.filter(e=>!this.isDisabled(e))}get selected(){return this.multiple?this.enabled:this.focused}};function Rhe(t,e){if(e instanceof Promise)return e;if(typeof e=="function"){if(lk.isAsyncFn(e))return e;e=e.call(t,t)}for(let r of e){if(Array.isArray(r.choices)){let o=r.choices.filter(a=>!t.isDisabled(a));r.enabled=o.every(a=>a.enabled===!0)}t.isDisabled(r)===!0&&delete r.enabled}return e}Nhe.exports=V_});var Sh=_((a8t,Lhe)=>{"use strict";var mft=c2(),K_=No(),J_=class extends mft{constructor(e){super(e),this.emptyError=this.options.emptyError||"No items were selected"}async dispatch(e,r){if(this.multiple)return this[r.name]?await this[r.name](e,r):await super.dispatch(e,r);this.alert()}separator(){if(this.options.separator)return super.separator();let e=this.styles.muted(this.symbols.ellipsis);return this.state.submitted?super.separator():e}pointer(e,r){return!this.multiple||this.options.pointer?super.pointer(e,r):""}indicator(e,r){return this.multiple?super.indicator(e,r):""}choiceMessage(e,r){let o=this.resolve(e.message,this.state,e,r);return e.role==="heading"&&!K_.hasColor(o)&&(o=this.styles.strong(o)),this.resolve(o,this.state,e,r)}choiceSeparator(){return":"}async renderChoice(e,r){await this.onChoice(e,r);let o=this.index===r,a=await this.pointer(e,r),n=await this.indicator(e,r)+(e.pad||""),u=await this.resolve(e.hint,this.state,e,r);u&&!K_.hasColor(u)&&(u=this.styles.muted(u));let A=this.indent(e),p=await this.choiceMessage(e,r),h=()=>[this.margin[3],A+a+n,p,this.margin[1],u].filter(Boolean).join(" ");return e.role==="heading"?h():e.disabled?(K_.hasColor(p)||(p=this.styles.disabled(p)),h()):(o&&(p=this.styles.em(p)),h())}async renderChoices(){if(this.state.loading==="choices")return this.styles.warning("Loading choices");if(this.state.submitted)return"";let e=this.visible.map(async(n,u)=>await this.renderChoice(n,u)),r=await Promise.all(e);r.length||r.push(this.styles.danger("No matching choices"));let o=this.margin[0]+r.join(` +`),a;return this.options.choicesHeader&&(a=await this.resolve(this.options.choicesHeader,this.state)),[a,o].filter(Boolean).join(` +`)}format(){return!this.state.submitted||this.state.cancelled?"":Array.isArray(this.selected)?this.selected.map(e=>this.styles.primary(e.name)).join(", "):this.styles.primary(this.selected.name)}async render(){let{submitted:e,size:r}=this.state,o="",a=await this.header(),n=await this.prefix(),u=await this.separator(),A=await this.message();this.options.promptLine!==!1&&(o=[n,A,u,""].join(" "),this.state.prompt=o);let p=await this.format(),h=await this.error()||await this.hint(),E=await this.renderChoices(),I=await this.footer();p&&(o+=p),h&&!o.includes(h)&&(o+=" 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0?this.alert():(this.input=`${r}`.slice(0,e)+`${r}`.slice(e+1),this.complete())}number(e){return this.append(e)}async complete(){this.completing=!0,this.choices=await this.suggest(this.input,this.state._choices),this.state.limit=void 0,this.index=Math.min(Math.max(this.visible.length-1,0),this.index),await this.render(),this.completing=!1}suggest(e=this.input,r=this.state._choices){if(typeof this.options.suggest=="function")return this.options.suggest.call(this,e,r);let o=e.toLowerCase();return r.filter(a=>a.message.toLowerCase().includes(o))}pointer(){return""}format(){if(!this.focused)return this.input;if(this.options.multiple&&this.state.submitted)return this.selected.map(e=>this.styles.primary(e.message)).join(", ");if(this.state.submitted){let e=this.value=this.input=this.focused.value;return this.styles.primary(e)}return this.input}async render(){if(this.state.status!=="pending")return super.render();let e=this.options.highlight?this.options.highlight.bind(this):this.styles.placeholder,r=Eft(this.input,e),o=this.choices;this.choices=o.map(a=>({...a,message:r(a.message)})),await super.render(),this.choices=o}submit(){return this.options.multiple&&(this.value=this.selected.map(e=>e.name)),super.submit()}};Mhe.exports=z_});var Z_=_((c8t,Uhe)=>{"use strict";var X_=No();Uhe.exports=(t,e={})=>{t.cursorHide();let{input:r="",initial:o="",pos:a,showCursor:n=!0,color:u}=e,A=u||t.styles.placeholder,p=X_.inverse(t.styles.primary),h=T=>p(t.styles.black(T)),E=r,I=" ",v=h(I);if(t.blink&&t.blink.off===!0&&(h=T=>T,v=""),n&&a===0&&o===""&&r==="")return h(I);if(n&&a===0&&(r===o||r===""))return h(o[0])+A(o.slice(1));o=X_.isPrimitive(o)?`${o}`:"",r=X_.isPrimitive(r)?`${r}`:"";let b=o&&o.startsWith(r)&&o!==r,C=b?h(o[r.length]):v;if(a!==r.length&&n===!0&&(E=r.slice(0,a)+h(r[a])+r.slice(a+1),C=""),n===!1&&(C=""),b){let T=t.styles.unstyle(E+C);return E+C+A(o.slice(T.length))}return E+C}});var ck=_((u8t,_he)=>{"use strict";var Cft=Vc(),wft=Sh(),Ift=Z_(),$_=class extends wft{constructor(e){super({...e,multiple:!0}),this.type="form",this.initial=this.options.initial,this.align=[this.options.align,"right"].find(r=>r!=null),this.emptyError="",this.values={}}async reset(e){return await super.reset(),e===!0&&(this._index=this.index),this.index=this._index,this.values={},this.choices.forEach(r=>r.reset&&r.reset()),this.render()}dispatch(e){return!!e&&this.append(e)}append(e){let r=this.focused;if(!r)return this.alert();let{cursor:o,input:a}=r;return r.value=r.input=a.slice(0,o)+e+a.slice(o),r.cursor++,this.render()}delete(){let e=this.focused;if(!e||e.cursor<=0)return this.alert();let{cursor:r,input:o}=e;return e.value=e.input=o.slice(0,r-1)+o.slice(r),e.cursor--,this.render()}deleteForward(){let e=this.focused;if(!e)return this.alert();let{cursor:r,input:o}=e;if(o[r]===void 0)return this.alert();let a=`${o}`.slice(0,r)+`${o}`.slice(r+1);return e.value=e.input=a,this.render()}right(){let e=this.focused;return e?e.cursor>=e.input.length?this.alert():(e.cursor++,this.render()):this.alert()}left(){let e=this.focused;return e?e.cursor<=0?this.alert():(e.cursor--,this.render()):this.alert()}space(e,r){return this.dispatch(e,r)}number(e,r){return this.dispatch(e,r)}next(){let e=this.focused;if(!e)return this.alert();let{initial:r,input:o}=e;return r&&r.startsWith(o)&&o!==r?(e.value=e.input=r,e.cursor=e.value.length,this.render()):super.next()}prev(){let e=this.focused;return e?e.cursor===0?super.prev():(e.value=e.input="",e.cursor=0,this.render()):this.alert()}separator(){return""}format(e){return this.state.submitted?"":super.format(e)}pointer(){return""}indicator(e){return e.input?"\u29BF":"\u2299"}async choiceSeparator(e,r){let o=await this.resolve(e.separator,this.state,e,r)||":";return o?" 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":"")+E(e.hint.trim())),ae()}async submit(){return this.value=this.values,super.base.submit.call(this)}};_he.exports=$_});var e8=_((A8t,jhe)=>{"use strict";var Bft=ck(),vft=()=>{throw new Error("expected prompt to have a custom authenticate method")},Hhe=(t=vft)=>{class e extends Bft{constructor(o){super(o)}async submit(){this.value=await t.call(this,this.values,this.state),super.base.submit.call(this)}static create(o){return Hhe(o)}}return e};jhe.exports=Hhe()});var Yhe=_((f8t,Ghe)=>{"use strict";var Dft=e8();function Pft(t,e){return t.username===this.options.username&&t.password===this.options.password}var qhe=(t=Pft)=>{let e=[{name:"username",message:"username"},{name:"password",message:"password",format(o){return this.options.showPassword?o:(this.state.submitted?this.styles.primary:this.styles.muted)(this.symbols.asterisk.repeat(o.length))}}];class r extends Dft.create(t){constructor(a){super({...a,choices:e})}static create(a){return qhe(a)}}return r};Ghe.exports=qhe()});var uk=_((p8t,Whe)=>{"use strict";var Sft=hC(),{isPrimitive:xft,hasColor:bft}=No(),t8=class extends Sft{constructor(e){super(e),this.cursorHide()}async initialize(){let e=await this.resolve(this.initial,this.state);this.input=await this.cast(e),await super.initialize()}dispatch(e){return this.isValue(e)?(this.input=e,this.submit()):this.alert()}format(e){let{styles:r,state:o}=this;return o.submitted?r.success(e):r.primary(e)}cast(e){return this.isTrue(e)}isTrue(e){return/^[ty1]/i.test(e)}isFalse(e){return/^[fn0]/i.test(e)}isValue(e){return xft(e)&&(this.isTrue(e)||this.isFalse(e))}async hint(){if(this.state.status==="pending"){let e=await this.element("hint");return bft(e)?e:this.styles.muted(e)}}async render(){let{input:e,size:r}=this.state,o=await this.prefix(),a=await this.separator(),n=await this.message(),u=this.styles.muted(this.default),A=[o,n,u,a].filter(Boolean).join(" ");this.state.prompt=A;let p=await this.header(),h=this.value=this.cast(e),E=await this.format(h),I=await this.error()||await this.hint(),v=await this.footer();I&&!A.includes(I)&&(E+=" "+I),A+=" "+E,this.clear(r),this.write([p,A,v].filter(Boolean).join(` +`)),this.restore()}set value(e){super.value=e}get value(){return this.cast(super.value)}};Whe.exports=t8});var Khe=_((h8t,Vhe)=>{"use strict";var kft=uk(),r8=class extends kft{constructor(e){super(e),this.default=this.options.default||(this.initial?"(Y/n)":"(y/N)")}};Vhe.exports=r8});var zhe=_((g8t,Jhe)=>{"use strict";var Qft=Sh(),Fft=ck(),gC=Fft.prototype,n8=class extends Qft{constructor(e){super({...e,multiple:!0}),this.align=[this.options.align,"left"].find(r=>r!=null),this.emptyError="",this.values={}}dispatch(e,r){let o=this.focused,a=o.parent||{};return!o.editable&&!a.editable&&(e==="a"||e==="i")?super[e]():gC.dispatch.call(this,e,r)}append(e,r){return gC.append.call(this,e,r)}delete(e,r){return gC.delete.call(this,e,r)}space(e){return this.focused.editable?this.append(e):super.space()}number(e){return this.focused.editable?this.append(e):super.number(e)}next(){return this.focused.editable?gC.next.call(this):super.next()}prev(){return this.focused.editable?gC.prev.call(this):super.prev()}async indicator(e,r){let o=e.indicator||"",a=e.editable?o:super.indicator(e,r);return await this.resolve(a,this.state,e,r)||""}indent(e){return e.role==="heading"?"":e.editable?" ":" "}async renderChoice(e,r){return e.indent="",e.editable?gC.renderChoice.call(this,e,r):super.renderChoice(e,r)}error(){return""}footer(){return this.state.error}async validate(){let e=!0;for(let r of this.choices){if(typeof r.validate!="function"||r.role==="heading")continue;let o=r.parent?this.value[r.parent.name]:this.value;if(r.editable?o=r.value===r.name?r.initial||"":r.value:this.isDisabled(r)||(o=r.enabled===!0),e=await r.validate(o,this.state),e!==!0)break}return e!==!0&&(this.state.error=typeof e=="string"?e:"Invalid Input"),e}submit(){if(this.focused.newChoice===!0)return super.submit();if(this.choices.some(e=>e.newChoice))return this.alert();this.value={};for(let e of this.choices){let r=e.parent?this.value[e.parent.name]:this.value;if(e.role==="heading"){this.value[e.name]={};continue}e.editable?r[e.name]=e.value===e.name?e.initial||"":e.value:this.isDisabled(e)||(r[e.name]=e.enabled===!0)}return this.base.submit.call(this)}};Jhe.exports=n8});var Yd=_((d8t,Xhe)=>{"use strict";var Tft=hC(),Rft=Z_(),{isPrimitive:Nft}=No(),i8=class extends Tft{constructor(e){super(e),this.initial=Nft(this.initial)?String(this.initial):"",this.initial&&this.cursorHide(),this.state.prevCursor=0,this.state.clipboard=[]}async keypress(e,r={}){let o=this.state.prevKeypress;return this.state.prevKeypress=r,this.options.multiline===!0&&r.name==="return"&&(!o||o.name!=="return")?this.append(` +`,r):super.keypress(e,r)}moveCursor(e){this.cursor+=e}reset(){return this.input=this.value="",this.cursor=0,this.render()}dispatch(e,r){if(!e||r.ctrl||r.code)return this.alert();this.append(e)}append(e){let{cursor:r,input:o}=this.state;this.input=`${o}`.slice(0,r)+e+`${o}`.slice(r),this.moveCursor(String(e).length),this.render()}insert(e){this.append(e)}delete(){let{cursor:e,input:r}=this.state;if(e<=0)return this.alert();this.input=`${r}`.slice(0,e-1)+`${r}`.slice(e),this.moveCursor(-1),this.render()}deleteForward(){let{cursor:e,input:r}=this.state;if(r[e]===void 0)return this.alert();this.input=`${r}`.slice(0,e)+`${r}`.slice(e+1),this.render()}cutForward(){let e=this.cursor;if(this.input.length<=e)return this.alert();this.state.clipboard.push(this.input.slice(e)),this.input=this.input.slice(0,e),this.render()}cutLeft(){let e=this.cursor;if(e===0)return this.alert();let r=this.input.slice(0,e),o=this.input.slice(e),a=r.split(" ");this.state.clipboard.push(a.pop()),this.input=a.join(" "),this.cursor=this.input.length,this.input+=o,this.render()}paste(){if(!this.state.clipboard.length)return this.alert();this.insert(this.state.clipboard.pop()),this.render()}toggleCursor(){this.state.prevCursor?(this.cursor=this.state.prevCursor,this.state.prevCursor=0):(this.state.prevCursor=this.cursor,this.cursor=0),this.render()}first(){this.cursor=0,this.render()}last(){this.cursor=this.input.length-1,this.render()}next(){let e=this.initial!=null?String(this.initial):"";if(!e||!e.startsWith(this.input))return this.alert();this.input=this.initial,this.cursor=this.initial.length,this.render()}prev(){if(!this.input)return this.alert();this.reset()}backward(){return this.left()}forward(){return this.right()}right(){return this.cursor>=this.input.length?this.alert():(this.moveCursor(1),this.render())}left(){return this.cursor<=0?this.alert():(this.moveCursor(-1),this.render())}isValue(e){return!!e}async format(e=this.value){let r=await this.resolve(this.initial,this.state);return this.state.submitted?this.styles.submitted(e||r):Rft(this,{input:e,initial:r,pos:this.cursor})}async render(){let e=this.state.size,r=await this.prefix(),o=await this.separator(),a=await this.message(),n=[r,a,o].filter(Boolean).join(" ");this.state.prompt=n;let u=await this.header(),A=await this.format(),p=await this.error()||await this.hint(),h=await this.footer();p&&!A.includes(p)&&(A+=" "+p),n+=" "+A,this.clear(e),this.write([u,n,h].filter(Boolean).join(` +`)),this.restore()}};Xhe.exports=i8});var $he=_((m8t,Zhe)=>{"use strict";var Lft=t=>t.filter((e,r)=>t.lastIndexOf(e)===r),Ak=t=>Lft(t).filter(Boolean);Zhe.exports=(t,e={},r="")=>{let{past:o=[],present:a=""}=e,n,u;switch(t){case"prev":case"undo":return n=o.slice(0,o.length-1),u=o[o.length-1]||"",{past:Ak([r,...n]),present:u};case"next":case"redo":return n=o.slice(1),u=o[0]||"",{past:Ak([...n,r]),present:u};case"save":return{past:Ak([...o,r]),present:""};case"remove":return u=Ak(o.filter(A=>A!==r)),a="",u.length&&(a=u.pop()),{past:u,present:a};default:throw new Error(`Invalid action: "${t}"`)}}});var o8=_((y8t,t0e)=>{"use strict";var Mft=Yd(),e0e=$he(),s8=class extends Mft{constructor(e){super(e);let r=this.options.history;if(r&&r.store){let o=r.values||this.initial;this.autosave=!!r.autosave,this.store=r.store,this.data=this.store.get("values")||{past:[],present:o},this.initial=this.data.present||this.data.past[this.data.past.length-1]}}completion(e){return this.store?(this.data=e0e(e,this.data,this.input),this.data.present?(this.input=this.data.present,this.cursor=this.input.length,this.render()):this.alert()):this.alert()}altUp(){return this.completion("prev")}altDown(){return this.completion("next")}prev(){return this.save(),super.prev()}save(){!this.store||(this.data=e0e("save",this.data,this.input),this.store.set("values",this.data))}submit(){return this.store&&this.autosave===!0&&this.save(),super.submit()}};t0e.exports=s8});var n0e=_((E8t,r0e)=>{"use strict";var Oft=Yd(),a8=class extends Oft{format(){return""}};r0e.exports=a8});var s0e=_((C8t,i0e)=>{"use strict";var Uft=Yd(),l8=class extends Uft{constructor(e={}){super(e),this.sep=this.options.separator||/, */,this.initial=e.initial||""}split(e=this.value){return e?String(e).split(this.sep):[]}format(){let e=this.state.submitted?this.styles.primary:r=>r;return this.list.map(e).join(", ")}async submit(e){let r=this.state.error||await this.validate(this.list,this.state);return r!==!0?(this.state.error=r,super.submit()):(this.value=this.list,super.submit())}get list(){return this.split()}};i0e.exports=l8});var a0e=_((w8t,o0e)=>{"use strict";var _ft=Sh(),c8=class extends _ft{constructor(e){super({...e,multiple:!0})}};o0e.exports=c8});var A8=_((I8t,l0e)=>{"use strict";var Hft=Yd(),u8=class extends Hft{constructor(e={}){super({style:"number",...e}),this.min=this.isValue(e.min)?this.toNumber(e.min):-1/0,this.max=this.isValue(e.max)?this.toNumber(e.max):1/0,this.delay=e.delay!=null?e.delay:1e3,this.float=e.float!==!1,this.round=e.round===!0||e.float===!1,this.major=e.major||10,this.minor=e.minor||1,this.initial=e.initial!=null?e.initial:"",this.input=String(this.initial),this.cursor=this.input.length,this.cursorShow()}append(e){return!/[-+.]/.test(e)||e==="."&&this.input.includes(".")?this.alert("invalid number"):super.append(e)}number(e){return super.append(e)}next(){return this.input&&this.input!==this.initial?this.alert():this.isValue(this.initial)?(this.input=this.initial,this.cursor=String(this.initial).length,this.render()):this.alert()}up(e){let r=e||this.minor,o=this.toNumber(this.input);return o>this.max+r?this.alert():(this.input=`${o+r}`,this.render())}down(e){let r=e||this.minor,o=this.toNumber(this.input);return othis.isValue(r));return this.value=this.toNumber(e||0),super.submit()}};l0e.exports=u8});var u0e=_((B8t,c0e)=>{c0e.exports=A8()});var f0e=_((v8t,A0e)=>{"use strict";var jft=Yd(),f8=class extends jft{constructor(e){super(e),this.cursorShow()}format(e=this.input){return this.keypressed?(this.state.submitted?this.styles.primary:this.styles.muted)(this.symbols.asterisk.repeat(e.length)):""}};A0e.exports=f8});var g0e=_((D8t,h0e)=>{"use strict";var qft=Vc(),Gft=c2(),p0e=No(),p8=class extends Gft{constructor(e={}){super(e),this.widths=[].concat(e.messageWidth||50),this.align=[].concat(e.align||"left"),this.linebreak=e.linebreak||!1,this.edgeLength=e.edgeLength||3,this.newline=e.newline||` + `;let r=e.startNumber||1;typeof this.scale=="number"&&(this.scaleKey=!1,this.scale=Array(this.scale).fill(0).map((o,a)=>({name:a+r})))}async reset(){return this.tableized=!1,await super.reset(),this.render()}tableize(){if(this.tableized===!0)return;this.tableized=!0;let e=0;for(let r of this.choices){e=Math.max(e,r.message.length),r.scaleIndex=r.initial||2,r.scale=[];for(let o=0;o=this.scale.length-1?this.alert():(e.scaleIndex++,this.render())}left(){let e=this.focused;return e.scaleIndex<=0?this.alert():(e.scaleIndex--,this.render())}indent(){return""}format(){return this.state.submitted?this.choices.map(r=>this.styles.info(r.index)).join(", "):""}pointer(){return""}renderScaleKey(){return this.scaleKey===!1||this.state.submitted?"":["",...this.scale.map(o=>` ${o.name} - ${o.message}`)].map(o=>this.styles.muted(o)).join(` +`)}renderScaleHeading(e){let r=this.scale.map(p=>p.name);typeof this.options.renderScaleHeading=="function"&&(r=this.options.renderScaleHeading.call(this,e));let o=this.scaleLength-r.join("").length,a=Math.round(o/(r.length-1)),u=r.map(p=>this.styles.strong(p)).join(" ".repeat(a)),A=" ".repeat(this.widths[0]);return this.margin[3]+A+this.margin[1]+u}scaleIndicator(e,r,o){if(typeof this.options.scaleIndicator=="function")return this.options.scaleIndicator.call(this,e,r,o);let a=e.scaleIndex===r.index;return r.disabled?this.styles.hint(this.symbols.radio.disabled):a?this.styles.success(this.symbols.radio.on):this.symbols.radio.off}renderScale(e,r){let o=e.scale.map(n=>this.scaleIndicator(e,n,r)),a=this.term==="Hyper"?"":" ";return o.join(a+this.symbols.line.repeat(this.edgeLength))}async renderChoice(e,r){await this.onChoice(e,r);let o=this.index===r,a=await this.pointer(e,r),n=await e.hint;n&&!p0e.hasColor(n)&&(n=this.styles.muted(n));let u=C=>this.margin[3]+C.replace(/\s+$/,"").padEnd(this.widths[0]," "),A=this.newline,p=this.indent(e),h=await this.resolve(e.message,this.state,e,r),E=await this.renderScale(e,r),I=this.margin[1]+this.margin[3];this.scaleLength=qft.unstyle(E).length,this.widths[0]=Math.min(this.widths[0],this.width-this.scaleLength-I.length);let b=p0e.wordWrap(h,{width:this.widths[0],newline:A}).split(` +`).map(C=>u(C)+this.margin[1]);return o&&(E=this.styles.info(E),b=b.map(C=>this.styles.info(C))),b[0]+=E,this.linebreak&&b.push(""),[p+a,b.join(` +`)].filter(Boolean)}async renderChoices(){if(this.state.submitted)return"";this.tableize();let e=this.visible.map(async(a,n)=>await this.renderChoice(a,n)),r=await Promise.all(e),o=await this.renderScaleHeading();return this.margin[0]+[o,...r.map(a=>a.join(" "))].join(` +`)}async render(){let{submitted:e,size:r}=this.state,o=await this.prefix(),a=await this.separator(),n=await this.message(),u="";this.options.promptLine!==!1&&(u=[o,n,a,""].join(" "),this.state.prompt=u);let A=await this.header(),p=await this.format(),h=await this.renderScaleKey(),E=await this.error()||await this.hint(),I=await this.renderChoices(),v=await this.footer(),b=this.emptyError;p&&(u+=p),E&&!u.includes(E)&&(u+=" "+E),e&&!p&&!I.trim()&&this.multiple&&b!=null&&(u+=this.styles.danger(b)),this.clear(r),this.write([A,u,h,I,v].filter(Boolean).join(` +`)),this.state.submitted||this.write(this.margin[2]),this.restore()}submit(){this.value={};for(let e of this.choices)this.value[e.name]=e.scaleIndex;return this.base.submit.call(this)}};h0e.exports=p8});var y0e=_((P8t,m0e)=>{"use strict";var d0e=Vc(),Yft=(t="")=>typeof t=="string"?t.replace(/^['"]|['"]$/g,""):"",g8=class{constructor(e){this.name=e.key,this.field=e.field||{},this.value=Yft(e.initial||this.field.initial||""),this.message=e.message||this.name,this.cursor=0,this.input="",this.lines=[]}},Wft=async(t={},e={},r=o=>o)=>{let o=new Set,a=t.fields||[],n=t.template,u=[],A=[],p=[],h=1;typeof n=="function"&&(n=await n());let E=-1,I=()=>n[++E],v=()=>n[E+1],b=C=>{C.line=h,u.push(C)};for(b({type:"bos",value:""});Ele.name===U.key);U.field=a.find(le=>le.name===U.key),te||(te=new g8(U),A.push(te)),te.lines.push(U.line-1);continue}let T=u[u.length-1];T.type==="text"&&T.line===h?T.value+=C:b({type:"text",value:C})}return b({type:"eos",value:""}),{input:n,tabstops:u,unique:o,keys:p,items:A}};m0e.exports=async t=>{let e=t.options,r=new Set(e.required===!0?[]:e.required||[]),o={...e.values,...e.initial},{tabstops:a,items:n,keys:u}=await Wft(e,o),A=h8("result",t,e),p=h8("format",t,e),h=h8("validate",t,e,!0),E=t.isValue.bind(t);return async(I={},v=!1)=>{let b=0;I.required=r,I.items=n,I.keys=u,I.output="";let C=async(J,te,le,pe)=>{let Ae=await h(J,te,le,pe);return Ae===!1?"Invalid field "+le.name:Ae};for(let J of a){let te=J.value,le=J.key;if(J.type!=="template"){te&&(I.output+=te);continue}if(J.type==="template"){let pe=n.find(Pe=>Pe.name===le);e.required===!0&&I.required.add(pe.name);let Ae=[pe.input,I.values[pe.value],pe.value,te].find(E),ae=(pe.field||{}).message||J.inner;if(v){let Pe=await C(I.values[le],I,pe,b);if(Pe&&typeof Pe=="string"||Pe===!1){I.invalid.set(le,Pe);continue}I.invalid.delete(le);let g=await A(I.values[le],I,pe,b);I.output+=d0e.unstyle(g);continue}pe.placeholder=!1;let we=te;te=await p(te,I,pe,b),Ae!==te?(I.values[le]=Ae,te=t.styles.typing(Ae),I.missing.delete(ae)):(I.values[le]=void 0,Ae=`<${ae}>`,te=t.styles.primary(Ae),pe.placeholder=!0,I.required.has(le)&&I.missing.add(ae)),I.missing.has(ae)&&I.validating&&(te=t.styles.warning(Ae)),I.invalid.has(le)&&I.validating&&(te=t.styles.danger(Ae)),b===I.index&&(we!==te?te=t.styles.underline(te):te=t.styles.heading(d0e.unstyle(te))),b++}te&&(I.output+=te)}let T=I.output.split(` +`).map(J=>" "+J),L=n.length,U=0;for(let J of n)I.invalid.has(J.name)&&J.lines.forEach(te=>{T[te][0]===" "&&(T[te]=I.styles.danger(I.symbols.bullet)+T[te].slice(1))}),t.isValue(I.values[J.name])&&U++;return I.completed=(U/L*100).toFixed(0),I.output=T.join(` +`),I.output}};function h8(t,e,r,o){return(a,n,u,A)=>typeof u.field[t]=="function"?u.field[t].call(e,a,n,u,A):[o,a].find(p=>e.isValue(p))}});var C0e=_((S8t,E0e)=>{"use strict";var Vft=Vc(),Kft=y0e(),Jft=hC(),d8=class extends Jft{constructor(e){super(e),this.cursorHide(),this.reset(!0)}async initialize(){this.interpolate=await Kft(this),await super.initialize()}async reset(e){this.state.keys=[],this.state.invalid=new Map,this.state.missing=new Set,this.state.completed=0,this.state.values={},e!==!0&&(await this.initialize(),await this.render())}moveCursor(e){let r=this.getItem();this.cursor+=e,r.cursor+=e}dispatch(e,r){if(!r.code&&!r.ctrl&&e!=null&&this.getItem()){this.append(e,r);return}this.alert()}append(e,r){let o=this.getItem(),a=o.input.slice(0,this.cursor),n=o.input.slice(this.cursor);this.input=o.input=`${a}${e}${n}`,this.moveCursor(1),this.render()}delete(){let e=this.getItem();if(this.cursor<=0||!e.input)return this.alert();let r=e.input.slice(this.cursor),o=e.input.slice(0,this.cursor-1);this.input=e.input=`${o}${r}`,this.moveCursor(-1),this.render()}increment(e){return e>=this.state.keys.length-1?0:e+1}decrement(e){return e<=0?this.state.keys.length-1:e-1}first(){this.state.index=0,this.render()}last(){this.state.index=this.state.keys.length-1,this.render()}right(){if(this.cursor>=this.input.length)return this.alert();this.moveCursor(1),this.render()}left(){if(this.cursor<=0)return this.alert();this.moveCursor(-1),this.render()}prev(){this.state.index=this.decrement(this.state.index),this.getItem(),this.render()}next(){this.state.index=this.increment(this.state.index),this.getItem(),this.render()}up(){this.prev()}down(){this.next()}format(e){let r=this.state.completed<100?this.styles.warning:this.styles.success;return this.state.submitted===!0&&this.state.completed!==100&&(r=this.styles.danger),r(`${this.state.completed}% completed`)}async render(){let{index:e,keys:r=[],submitted:o,size:a}=this.state,n=[this.options.newline,` +`].find(J=>J!=null),u=await this.prefix(),A=await this.separator(),p=await this.message(),h=[u,p,A].filter(Boolean).join(" ");this.state.prompt=h;let E=await this.header(),I=await this.error()||"",v=await this.hint()||"",b=o?"":await this.interpolate(this.state),C=this.state.key=r[e]||"",T=await this.format(C),L=await this.footer();T&&(h+=" "+T),v&&!T&&this.state.completed===0&&(h+=" "+v),this.clear(a);let U=[E,h,b,L,I.trim()];this.write(U.filter(Boolean).join(n)),this.restore()}getItem(e){let{items:r,keys:o,index:a}=this.state,n=r.find(u=>u.name===o[a]);return n&&n.input!=null&&(this.input=n.input,this.cursor=n.cursor),n}async submit(){typeof this.interpolate!="function"&&await this.initialize(),await this.interpolate(this.state,!0);let{invalid:e,missing:r,output:o,values:a}=this.state;if(e.size){let A="";for(let[p,h]of e)A+=`Invalid ${p}: ${h} +`;return this.state.error=A,super.submit()}if(r.size)return this.state.error="Required: "+[...r.keys()].join(", "),super.submit();let u=Vft.unstyle(o).split(` +`).map(A=>A.slice(1)).join(` +`);return this.value={values:a,result:u},super.submit()}};E0e.exports=d8});var I0e=_((x8t,w0e)=>{"use strict";var zft="(Use + to sort)",Xft=Sh(),m8=class extends Xft{constructor(e){super({...e,reorder:!1,sort:!0,multiple:!0}),this.state.hint=[this.options.hint,zft].find(this.isValue.bind(this))}indicator(){return""}async renderChoice(e,r){let o=await super.renderChoice(e,r),a=this.symbols.identicalTo+" ",n=this.index===r&&this.sorting?this.styles.muted(a):" ";return this.options.drag===!1&&(n=""),this.options.numbered===!0?n+`${r+1} - `+o:n+o}get selected(){return this.choices}submit(){return this.value=this.choices.map(e=>e.value),super.submit()}};w0e.exports=m8});var v0e=_((b8t,B0e)=>{"use strict";var Zft=c2(),y8=class extends Zft{constructor(e={}){if(super(e),this.emptyError=e.emptyError||"No items were selected",this.term=process.env.TERM_PROGRAM,!this.options.header){let r=["","4 - Strongly Agree","3 - Agree","2 - Neutral","1 - Disagree","0 - Strongly Disagree",""];r=r.map(o=>this.styles.muted(o)),this.state.header=r.join(` + `)}}async toChoices(...e){if(this.createdScales)return!1;this.createdScales=!0;let r=await super.toChoices(...e);for(let o of r)o.scale=$ft(5,this.options),o.scaleIdx=2;return r}dispatch(){this.alert()}space(){let e=this.focused,r=e.scale[e.scaleIdx],o=r.selected;return e.scale.forEach(a=>a.selected=!1),r.selected=!o,this.render()}indicator(){return""}pointer(){return""}separator(){return this.styles.muted(this.symbols.ellipsis)}right(){let e=this.focused;return e.scaleIdx>=e.scale.length-1?this.alert():(e.scaleIdx++,this.render())}left(){let e=this.focused;return e.scaleIdx<=0?this.alert():(e.scaleIdx--,this.render())}indent(){return" "}async renderChoice(e,r){await this.onChoice(e,r);let o=this.index===r,a=this.term==="Hyper",n=a?9:8,u=a?"":" ",A=this.symbols.line.repeat(n),p=" ".repeat(n+(a?0:1)),h=te=>(te?this.styles.success("\u25C9"):"\u25EF")+u,E=r+1+".",I=o?this.styles.heading:this.styles.noop,v=await this.resolve(e.message,this.state,e,r),b=this.indent(e),C=b+e.scale.map((te,le)=>h(le===e.scaleIdx)).join(A),T=te=>te===e.scaleIdx?I(te):te,L=b+e.scale.map((te,le)=>T(le)).join(p),U=()=>[E,v].filter(Boolean).join(" "),J=()=>[U(),C,L," "].filter(Boolean).join(` +`);return o&&(C=this.styles.cyan(C),L=this.styles.cyan(L)),J()}async renderChoices(){if(this.state.submitted)return"";let e=this.visible.map(async(o,a)=>await this.renderChoice(o,a)),r=await Promise.all(e);return r.length||r.push(this.styles.danger("No matching choices")),r.join(` +`)}format(){return this.state.submitted?this.choices.map(r=>this.styles.info(r.scaleIdx)).join(", "):""}async render(){let{submitted:e,size:r}=this.state,o=await this.prefix(),a=await this.separator(),n=await this.message(),u=[o,n,a].filter(Boolean).join(" ");this.state.prompt=u;let A=await this.header(),p=await this.format(),h=await this.error()||await this.hint(),E=await this.renderChoices(),I=await this.footer();(p||!h)&&(u+=" "+p),h&&!u.includes(h)&&(u+=" "+h),e&&!p&&!E&&this.multiple&&this.type!=="form"&&(u+=this.styles.danger(this.emptyError)),this.clear(r),this.write([u,A,E,I].filter(Boolean).join(` +`)),this.restore()}submit(){this.value={};for(let e of this.choices)this.value[e.name]=e.scaleIdx;return this.base.submit.call(this)}};function $ft(t,e={}){if(Array.isArray(e.scale))return e.scale.map(o=>({...o}));let r=[];for(let o=1;o{D0e.exports=o8()});var x0e=_((Q8t,S0e)=>{"use strict";var ept=uk(),E8=class extends ept{async initialize(){await super.initialize(),this.value=this.initial=!!this.options.initial,this.disabled=this.options.disabled||"no",this.enabled=this.options.enabled||"yes",await this.render()}reset(){this.value=this.initial,this.render()}delete(){this.alert()}toggle(){this.value=!this.value,this.render()}enable(){if(this.value===!0)return this.alert();this.value=!0,this.render()}disable(){if(this.value===!1)return this.alert();this.value=!1,this.render()}up(){this.toggle()}down(){this.toggle()}right(){this.toggle()}left(){this.toggle()}next(){this.toggle()}prev(){this.toggle()}dispatch(e="",r){switch(e.toLowerCase()){case" ":return this.toggle();case"1":case"y":case"t":return this.enable();case"0":case"n":case"f":return this.disable();default:return this.alert()}}format(){let e=o=>this.styles.primary.underline(o);return[this.value?this.disabled:e(this.disabled),this.value?e(this.enabled):this.enabled].join(this.styles.muted(" / "))}async render(){let{size:e}=this.state,r=await this.header(),o=await this.prefix(),a=await this.separator(),n=await this.message(),u=await this.format(),A=await this.error()||await this.hint(),p=await this.footer(),h=[o,n,a,u].join(" ");this.state.prompt=h,A&&!h.includes(A)&&(h+=" "+A),this.clear(e),this.write([r,h,p].filter(Boolean).join(` +`)),this.write(this.margin[2]),this.restore()}};S0e.exports=E8});var k0e=_((F8t,b0e)=>{"use strict";var tpt=Sh(),C8=class extends tpt{constructor(e){if(super(e),typeof this.options.correctChoice!="number"||this.options.correctChoice<0)throw new Error("Please specify the index of the correct answer from the list of choices")}async toChoices(e,r){let o=await super.toChoices(e,r);if(o.length<2)throw new Error("Please give at least two choices to the user");if(this.options.correctChoice>o.length)throw new Error("Please specify the index of the correct answer from the list of choices");return o}check(e){return e.index===this.options.correctChoice}async result(e){return{selectedAnswer:e,correctAnswer:this.options.choices[this.options.correctChoice].value,correct:await this.check(this.state)}}};b0e.exports=C8});var F0e=_(w8=>{"use strict";var Q0e=No(),As=(t,e)=>{Q0e.defineExport(w8,t,e),Q0e.defineExport(w8,t.toLowerCase(),e)};As("AutoComplete",()=>Ohe());As("BasicAuth",()=>Yhe());As("Confirm",()=>Khe());As("Editable",()=>zhe());As("Form",()=>ck());As("Input",()=>o8());As("Invisible",()=>n0e());As("List",()=>s0e());As("MultiSelect",()=>a0e());As("Numeral",()=>u0e());As("Password",()=>f0e());As("Scale",()=>g0e());As("Select",()=>Sh());As("Snippet",()=>C0e());As("Sort",()=>I0e());As("Survey",()=>v0e());As("Text",()=>P0e());As("Toggle",()=>x0e());As("Quiz",()=>k0e())});var R0e=_((R8t,T0e)=>{T0e.exports={ArrayPrompt:c2(),AuthPrompt:e8(),BooleanPrompt:uk(),NumberPrompt:A8(),StringPrompt:Yd()}});var A2=_((N8t,L0e)=>{"use strict";var N0e=Be("assert"),B8=Be("events"),xh=No(),Jc=class extends B8{constructor(e,r){super(),this.options=xh.merge({},e),this.answers={...r}}register(e,r){if(xh.isObject(e)){for(let a of Object.keys(e))this.register(a,e[a]);return this}N0e.equal(typeof r,"function","expected a function");let o=e.toLowerCase();return r.prototype instanceof this.Prompt?this.prompts[o]=r:this.prompts[o]=r(this.Prompt,this),this}async prompt(e=[]){for(let r of[].concat(e))try{typeof r=="function"&&(r=await r.call(this)),await this.ask(xh.merge({},this.options,r))}catch(o){return Promise.reject(o)}return this.answers}async ask(e){typeof e=="function"&&(e=await e.call(this));let r=xh.merge({},this.options,e),{type:o,name:a}=e,{set:n,get:u}=xh;if(typeof o=="function"&&(o=await o.call(this,e,this.answers)),!o)return this.answers[a];N0e(this.prompts[o],`Prompt "${o}" is not registered`);let A=new this.prompts[o](r),p=u(this.answers,a);A.state.answers=this.answers,A.enquirer=this,a&&A.on("submit",E=>{this.emit("answer",a,E,A),n(this.answers,a,E)});let h=A.emit.bind(A);return A.emit=(...E)=>(this.emit.call(this,...E),h(...E)),this.emit("prompt",A,this),r.autofill&&p!=null?(A.value=A.input=p,r.autofill==="show"&&await A.submit()):p=A.value=await A.run(),p}use(e){return e.call(this,this),this}set Prompt(e){this._Prompt=e}get Prompt(){return this._Prompt||this.constructor.Prompt}get prompts(){return this.constructor.prompts}static set Prompt(e){this._Prompt=e}static get Prompt(){return this._Prompt||hC()}static get prompts(){return F0e()}static get types(){return R0e()}static get prompt(){let e=(r,...o)=>{let a=new this(...o),n=a.emit.bind(a);return a.emit=(...u)=>(e.emit(...u),n(...u)),a.prompt(r)};return xh.mixinEmitter(e,new B8),e}};xh.mixinEmitter(Jc,new B8);var I8=Jc.prompts;for(let t of Object.keys(I8)){let e=t.toLowerCase(),r=o=>new I8[t](o).run();Jc.prompt[e]=r,Jc[e]=r,Jc[t]||Reflect.defineProperty(Jc,t,{get:()=>I8[t]})}var 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Qr=[],mr=function(xr){if(xr!==!1&&xr!==null&&!x.type.is_error(xr)){w.__calls.unshift(mr);var Wr=!1,Vn=xr.links[ie.id].args[0],Ns=xr.links[ie.id].args[1];for(var Ri in Qr)if(!!Qr.hasOwnProperty(Ri)){var ps=Qr[Ri];if(ps.variables.equals(Vn)){ps.answers.push(Ns),Wr=!0;break}}Wr||Qr.push({variables:Vn,answers:[Ns]}),w.session.limit=w.current_limit}else if(w.points=$t,w.session.limit=xt,w.session.format_success=an,x.type.is_error(xr))w.throw_error(xr.args[0]);else if(w.current_limit>0){for(var io=[],Si=0;Si=0;so--)Ls=new H(".",[xr[so],Ls]);io.push(new be(S.goal.replace(new H(",",[new H("=",[ot,Qr[Si].variables]),new H("=",[Z,Ls])])),S.substitution,S))}w.prepend(io)}};w.__calls.unshift(mr)}},"setof/3":function(w,S,y){var F,z=y.args[0],X=y.args[1],Z=y.args[2];if(x.type.is_variable(X))w.throw_error(x.error.instantiation(y.indicator));else if(!x.type.is_callable(X))w.throw_error(x.error.type("callable",X,y.indicator));else 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w.throw_error(x.error.permission("access","private_procedure",y.args[0].indicator,y.indicator))},"current_predicate/1":function(w,S,y){var F=y.args[0];if(!x.type.is_variable(F)&&(!x.type.is_compound(F)||F.indicator!=="//2"))w.throw_error(x.error.type("predicate_indicator",F,y.indicator));else if(!x.type.is_variable(F)&&!x.type.is_variable(F.args[0])&&!x.type.is_atom(F.args[0]))w.throw_error(x.error.type("atom",F.args[0],y.indicator));else if(!x.type.is_variable(F)&&!x.type.is_variable(F.args[1])&&!x.type.is_integer(F.args[1]))w.throw_error(x.error.type("integer",F.args[1],y.indicator));else{var z=[];for(var X in w.session.rules)if(!!w.session.rules.hasOwnProperty(X)){var Z=X.lastIndexOf("/"),ie=X.substr(0,Z),Se=parseInt(X.substr(Z+1,X.length-(Z+1))),Ne=new H("/",[new H(ie),new ke(Se,!1)]),ot=new H("=",[Ne,F]);z.push(new 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Pme=_((QWt,Dme)=>{Dme.exports=vme()});var Sme=_(LH=>{"use strict";Object.defineProperty(LH,"__esModule",{value:!0});function wdt(t={serializable:!0}){let e={};return{get(r,o,a={miss:()=>Promise.resolve()}){let n=JSON.stringify(r);if(n in e)return Promise.resolve(t.serializable?JSON.parse(e[n]):e[n]);let u=o(),A=a&&a.miss||(()=>Promise.resolve());return u.then(p=>A(p)).then(()=>u)},set(r,o){return e[JSON.stringify(r)]=t.serializable?JSON.stringify(o):o,Promise.resolve(o)},delete(r){return delete e[JSON.stringify(r)],Promise.resolve()},clear(){return e={},Promise.resolve()}}}LH.createInMemoryCache=wdt});var bme=_((TWt,xme)=>{xme.exports=Sme()});var Qme=_(Zc=>{"use strict";Object.defineProperty(Zc,"__esModule",{value:!0});function Idt(t,e,r){let o={"x-algolia-api-key":r,"x-algolia-application-id":e};return{headers(){return t===MH.WithinHeaders?o:{}},queryParameters(){return t===MH.WithinQueryParameters?o:{}}}}function Bdt(t){let e=0,r=()=>(e++,new 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Module)Module.hasOwnProperty(key)&&(moduleOverrides[key]=Module[key]);var ENVIRONMENT_IS_WEB=!1,ENVIRONMENT_IS_WORKER=!1,ENVIRONMENT_IS_NODE=!1,ENVIRONMENT_IS_SHELL=!1;if(Module.ENVIRONMENT)if(Module.ENVIRONMENT==="WEB")ENVIRONMENT_IS_WEB=!0;else if(Module.ENVIRONMENT==="WORKER")ENVIRONMENT_IS_WORKER=!0;else if(Module.ENVIRONMENT==="NODE")ENVIRONMENT_IS_NODE=!0;else if(Module.ENVIRONMENT==="SHELL")ENVIRONMENT_IS_SHELL=!0;else throw new Error("The provided Module['ENVIRONMENT'] value is not valid. It must be one of: WEB|WORKER|NODE|SHELL.");else ENVIRONMENT_IS_WEB=typeof window=="object",ENVIRONMENT_IS_WORKER=typeof importScripts=="function",ENVIRONMENT_IS_NODE=typeof process=="object"&&typeof Be=="function"&&!ENVIRONMENT_IS_WEB&&!ENVIRONMENT_IS_WORKER,ENVIRONMENT_IS_SHELL=!ENVIRONMENT_IS_WEB&&!ENVIRONMENT_IS_NODE&&!ENVIRONMENT_IS_WORKER;if(ENVIRONMENT_IS_NODE){Module.print||(Module.print=console.log),Module.printErr||(Module.printErr=console.warn);var nodeFS,nodePath;Module.read=function(e,r){nodeFS||(nodeFS={}("")),nodePath||(nodePath={}("")),e=nodePath.normalize(e);var o=nodeFS.readFileSync(e);return r?o:o.toString()},Module.readBinary=function(e){var r=Module.read(e,!0);return r.buffer||(r=new Uint8Array(r)),assert(r.buffer),r},Module.load=function(e){globalEval(read(e))},Module.thisProgram||(process.argv.length>1?Module.thisProgram=process.argv[1].replace(/\\/g,"/"):Module.thisProgram="unknown-program"),Module.arguments=process.argv.slice(2),typeof module<"u"&&(module.exports=Module),Module.inspect=function(){return"[Emscripten Module object]"}}else if(ENVIRONMENT_IS_SHELL)Module.print||(Module.print=print),typeof printErr<"u"&&(Module.printErr=printErr),typeof read<"u"?Module.read=read:Module.read=function(){throw"no read() available"},Module.readBinary=function(e){if(typeof readbuffer=="function")return new Uint8Array(readbuffer(e));var r=read(e,"binary");return assert(typeof r=="object"),r},typeof scriptArgs<"u"?Module.arguments=scriptArgs:typeof arguments<"u"&&(Module.arguments=arguments),typeof quit=="function"&&(Module.quit=function(t,e){quit(t)});else if(ENVIRONMENT_IS_WEB||ENVIRONMENT_IS_WORKER){if(Module.read=function(e){var r=new XMLHttpRequest;return r.open("GET",e,!1),r.send(null),r.responseText},ENVIRONMENT_IS_WORKER&&(Module.readBinary=function(e){var r=new XMLHttpRequest;return r.open("GET",e,!1),r.responseType="arraybuffer",r.send(null),new Uint8Array(r.response)}),Module.readAsync=function(e,r,o){var a=new XMLHttpRequest;a.open("GET",e,!0),a.responseType="arraybuffer",a.onload=function(){a.status==200||a.status==0&&a.response?r(a.response):o()},a.onerror=o,a.send(null)},typeof arguments<"u"&&(Module.arguments=arguments),typeof console<"u")Module.print||(Module.print=function(e){console.log(e)}),Module.printErr||(Module.printErr=function(e){console.warn(e)});else{var TRY_USE_DUMP=!1;Module.print||(Module.print=TRY_USE_DUMP&&typeof dump<"u"?function(t){dump(t)}:function(t){})}ENVIRONMENT_IS_WORKER&&(Module.load=importScripts),typeof Module.setWindowTitle>"u"&&(Module.setWindowTitle=function(t){document.title=t})}else throw"Unknown runtime environment. Where are we?";function globalEval(t){eval.call(null,t)}!Module.load&&Module.read&&(Module.load=function(e){globalEval(Module.read(e))}),Module.print||(Module.print=function(){}),Module.printErr||(Module.printErr=Module.print),Module.arguments||(Module.arguments=[]),Module.thisProgram||(Module.thisProgram="./this.program"),Module.quit||(Module.quit=function(t,e){throw e}),Module.print=Module.print,Module.printErr=Module.printErr,Module.preRun=[],Module.postRun=[];for(var key in moduleOverrides)moduleOverrides.hasOwnProperty(key)&&(Module[key]=moduleOverrides[key]);moduleOverrides=void 0;var Runtime={setTempRet0:function(t){return tempRet0=t,t},getTempRet0:function(){return tempRet0},stackSave:function(){return STACKTOP},stackRestore:function(t){STACKTOP=t},getNativeTypeSize:function(t){switch(t){case"i1":case"i8":return 1;case"i16":return 2;case"i32":return 4;case"i64":return 8;case"float":return 4;case"double":return 8;default:{if(t[t.length-1]==="*")return Runtime.QUANTUM_SIZE;if(t[0]==="i"){var e=parseInt(t.substr(1));return assert(e%8===0),e/8}else return 0}}},getNativeFieldSize:function(t){return Math.max(Runtime.getNativeTypeSize(t),Runtime.QUANTUM_SIZE)},STACK_ALIGN:16,prepVararg:function(t,e){return e==="double"||e==="i64"?t&7&&(assert((t&7)===4),t+=4):assert((t&3)===0),t},getAlignSize:function(t,e,r){return!r&&(t=="i64"||t=="double")?8:t?Math.min(e||(t?Runtime.getNativeFieldSize(t):0),Runtime.QUANTUM_SIZE):Math.min(e,8)},dynCall:function(t,e,r){return r&&r.length?Module["dynCall_"+t].apply(null,[e].concat(r)):Module["dynCall_"+t].call(null,e)},functionPointers:[],addFunction:function(t){for(var e=0;e>2],r=(e+t+15|0)&-16;if(HEAP32[DYNAMICTOP_PTR>>2]=r,r>=TOTAL_MEMORY){var o=enlargeMemory();if(!o)return HEAP32[DYNAMICTOP_PTR>>2]=e,0}return e},alignMemory:function(t,e){var r=t=Math.ceil(t/(e||16))*(e||16);return r},makeBigInt:function(t,e,r){var o=r?+(t>>>0)+ +(e>>>0)*4294967296:+(t>>>0)+ +(e|0)*4294967296;return o},GLOBAL_BASE:8,QUANTUM_SIZE:4,__dummy__:0};Module.Runtime=Runtime;var ABORT=0,EXITSTATUS=0;function assert(t,e){t||abort("Assertion failed: "+e)}function getCFunc(ident){var func=Module["_"+ident];if(!func)try{func=eval("_"+ident)}catch(t){}return assert(func,"Cannot call unknown function "+ident+" (perhaps LLVM optimizations or closure removed it?)"),func}var cwrap,ccall;(function(){var JSfuncs={stackSave:function(){Runtime.stackSave()},stackRestore:function(){Runtime.stackRestore()},arrayToC:function(t){var e=Runtime.stackAlloc(t.length);return writeArrayToMemory(t,e),e},stringToC:function(t){var e=0;if(t!=null&&t!==0){var r=(t.length<<2)+1;e=Runtime.stackAlloc(r),stringToUTF8(t,e,r)}return e}},toC={string:JSfuncs.stringToC,array:JSfuncs.arrayToC};ccall=function(e,r,o,a,n){var u=getCFunc(e),A=[],p=0;if(a)for(var h=0;h>0]=e;break;case"i8":HEAP8[t>>0]=e;break;case"i16":HEAP16[t>>1]=e;break;case"i32":HEAP32[t>>2]=e;break;case"i64":tempI64=[e>>>0,(tempDouble=e,+Math_abs(tempDouble)>=1?tempDouble>0?(Math_min(+Math_floor(tempDouble/4294967296),4294967295)|0)>>>0:~~+Math_ceil((tempDouble-+(~~tempDouble>>>0))/4294967296)>>>0:0)],HEAP32[t>>2]=tempI64[0],HEAP32[t+4>>2]=tempI64[1];break;case"float":HEAPF32[t>>2]=e;break;case"double":HEAPF64[t>>3]=e;break;default:abort("invalid type for setValue: "+r)}}Module.setValue=setValue;function getValue(t,e,r){switch(e=e||"i8",e.charAt(e.length-1)==="*"&&(e="i32"),e){case"i1":return HEAP8[t>>0];case"i8":return HEAP8[t>>0];case"i16":return HEAP16[t>>1];case"i32":return HEAP32[t>>2];case"i64":return HEAP32[t>>2];case"float":return HEAPF32[t>>2];case"double":return HEAPF64[t>>3];default:abort("invalid type for setValue: "+e)}return null}Module.getValue=getValue;var ALLOC_NORMAL=0,ALLOC_STACK=1,ALLOC_STATIC=2,ALLOC_DYNAMIC=3,ALLOC_NONE=4;Module.ALLOC_NORMAL=ALLOC_NORMAL,Module.ALLOC_STACK=ALLOC_STACK,Module.ALLOC_STATIC=ALLOC_STATIC,Module.ALLOC_DYNAMIC=ALLOC_DYNAMIC,Module.ALLOC_NONE=ALLOC_NONE;function allocate(t,e,r,o){var a,n;typeof t=="number"?(a=!0,n=t):(a=!1,n=t.length);var u=typeof e=="string"?e:null,A;if(r==ALLOC_NONE?A=o:A=[typeof _malloc=="function"?_malloc:Runtime.staticAlloc,Runtime.stackAlloc,Runtime.staticAlloc,Runtime.dynamicAlloc][r===void 0?ALLOC_STATIC:r](Math.max(n,u?1:e.length)),a){var o=A,p;for(assert((A&3)==0),p=A+(n&-4);o>2]=0;for(p=A+n;o>0]=0;return A}if(u==="i8")return t.subarray||t.slice?HEAPU8.set(t,A):HEAPU8.set(new Uint8Array(t),A),A;for(var h=0,E,I,v;h>0],r|=o,!(o==0&&!e||(a++,e&&a==e)););e||(e=a);var n="";if(r<128){for(var u=1024,A;e>0;)A=String.fromCharCode.apply(String,HEAPU8.subarray(t,t+Math.min(e,u))),n=n?n+A:A,t+=u,e-=u;return n}return Module.UTF8ToString(t)}Module.Pointer_stringify=Pointer_stringify;function AsciiToString(t){for(var e="";;){var r=HEAP8[t++>>0];if(!r)return e;e+=String.fromCharCode(r)}}Module.AsciiToString=AsciiToString;function stringToAscii(t,e){return writeAsciiToMemory(t,e,!1)}Module.stringToAscii=stringToAscii;var UTF8Decoder=typeof TextDecoder<"u"?new TextDecoder("utf8"):void 0;function UTF8ArrayToString(t,e){for(var r=e;t[r];)++r;if(r-e>16&&t.subarray&&UTF8Decoder)return UTF8Decoder.decode(t.subarray(e,r));for(var o,a,n,u,A,p,h="";;){if(o=t[e++],!o)return h;if(!(o&128)){h+=String.fromCharCode(o);continue}if(a=t[e++]&63,(o&224)==192){h+=String.fromCharCode((o&31)<<6|a);continue}if(n=t[e++]&63,(o&240)==224?o=(o&15)<<12|a<<6|n:(u=t[e++]&63,(o&248)==240?o=(o&7)<<18|a<<12|n<<6|u:(A=t[e++]&63,(o&252)==248?o=(o&3)<<24|a<<18|n<<12|u<<6|A:(p=t[e++]&63,o=(o&1)<<30|a<<24|n<<18|u<<12|A<<6|p))),o<65536)h+=String.fromCharCode(o);else{var E=o-65536;h+=String.fromCharCode(55296|E>>10,56320|E&1023)}}}Module.UTF8ArrayToString=UTF8ArrayToString;function UTF8ToString(t){return UTF8ArrayToString(HEAPU8,t)}Module.UTF8ToString=UTF8ToString;function stringToUTF8Array(t,e,r,o){if(!(o>0))return 0;for(var a=r,n=r+o-1,u=0;u=55296&&A<=57343&&(A=65536+((A&1023)<<10)|t.charCodeAt(++u)&1023),A<=127){if(r>=n)break;e[r++]=A}else if(A<=2047){if(r+1>=n)break;e[r++]=192|A>>6,e[r++]=128|A&63}else if(A<=65535){if(r+2>=n)break;e[r++]=224|A>>12,e[r++]=128|A>>6&63,e[r++]=128|A&63}else if(A<=2097151){if(r+3>=n)break;e[r++]=240|A>>18,e[r++]=128|A>>12&63,e[r++]=128|A>>6&63,e[r++]=128|A&63}else if(A<=67108863){if(r+4>=n)break;e[r++]=248|A>>24,e[r++]=128|A>>18&63,e[r++]=128|A>>12&63,e[r++]=128|A>>6&63,e[r++]=128|A&63}else{if(r+5>=n)break;e[r++]=252|A>>30,e[r++]=128|A>>24&63,e[r++]=128|A>>18&63,e[r++]=128|A>>12&63,e[r++]=128|A>>6&63,e[r++]=128|A&63}}return e[r]=0,r-a}Module.stringToUTF8Array=stringToUTF8Array;function stringToUTF8(t,e,r){return stringToUTF8Array(t,HEAPU8,e,r)}Module.stringToUTF8=stringToUTF8;function lengthBytesUTF8(t){for(var e=0,r=0;r=55296&&o<=57343&&(o=65536+((o&1023)<<10)|t.charCodeAt(++r)&1023),o<=127?++e:o<=2047?e+=2:o<=65535?e+=3:o<=2097151?e+=4:o<=67108863?e+=5:e+=6}return e}Module.lengthBytesUTF8=lengthBytesUTF8;var UTF16Decoder=typeof TextDecoder<"u"?new TextDecoder("utf-16le"):void 0;function demangle(t){var e=Module.___cxa_demangle||Module.__cxa_demangle;if(e){try{var r=t.substr(1),o=lengthBytesUTF8(r)+1,a=_malloc(o);stringToUTF8(r,a,o);var n=_malloc(4),u=e(a,0,0,n);if(getValue(n,"i32")===0&&u)return Pointer_stringify(u)}catch{}finally{a&&_free(a),n&&_free(n),u&&_free(u)}return t}return Runtime.warnOnce("warning: build with -s DEMANGLE_SUPPORT=1 to link in libcxxabi demangling"),t}function demangleAll(t){var e=/__Z[\w\d_]+/g;return t.replace(e,function(r){var o=demangle(r);return r===o?r:r+" ["+o+"]"})}function jsStackTrace(){var t=new Error;if(!t.stack){try{throw new Error(0)}catch(e){t=e}if(!t.stack)return"(no stack trace available)"}return t.stack.toString()}function stackTrace(){var t=jsStackTrace();return Module.extraStackTrace&&(t+=` +`+Module.extraStackTrace()),demangleAll(t)}Module.stackTrace=stackTrace;var HEAP,buffer,HEAP8,HEAPU8,HEAP16,HEAPU16,HEAP32,HEAPU32,HEAPF32,HEAPF64;function updateGlobalBufferViews(){Module.HEAP8=HEAP8=new Int8Array(buffer),Module.HEAP16=HEAP16=new Int16Array(buffer),Module.HEAP32=HEAP32=new Int32Array(buffer),Module.HEAPU8=HEAPU8=new Uint8Array(buffer),Module.HEAPU16=HEAPU16=new Uint16Array(buffer),Module.HEAPU32=HEAPU32=new Uint32Array(buffer),Module.HEAPF32=HEAPF32=new Float32Array(buffer),Module.HEAPF64=HEAPF64=new Float64Array(buffer)}var STATIC_BASE,STATICTOP,staticSealed,STACK_BASE,STACKTOP,STACK_MAX,DYNAMIC_BASE,DYNAMICTOP_PTR;STATIC_BASE=STATICTOP=STACK_BASE=STACKTOP=STACK_MAX=DYNAMIC_BASE=DYNAMICTOP_PTR=0,staticSealed=!1;function abortOnCannotGrowMemory(){abort("Cannot enlarge memory arrays. Either (1) compile with -s TOTAL_MEMORY=X with X higher than the current value "+TOTAL_MEMORY+", (2) compile with -s ALLOW_MEMORY_GROWTH=1 which allows increasing the size at runtime but prevents some optimizations, (3) set Module.TOTAL_MEMORY to a higher value before the program runs, or (4) if you want malloc to return NULL (0) instead of this abort, compile with -s ABORTING_MALLOC=0 ")}function enlargeMemory(){abortOnCannotGrowMemory()}var TOTAL_STACK=Module.TOTAL_STACK||5242880,TOTAL_MEMORY=Module.TOTAL_MEMORY||134217728;TOTAL_MEMORY0;){var e=t.shift();if(typeof e=="function"){e();continue}var r=e.func;typeof r=="number"?e.arg===void 0?Module.dynCall_v(r):Module.dynCall_vi(r,e.arg):r(e.arg===void 0?null:e.arg)}}var __ATPRERUN__=[],__ATINIT__=[],__ATMAIN__=[],__ATEXIT__=[],__ATPOSTRUN__=[],runtimeInitialized=!1,runtimeExited=!1;function preRun(){if(Module.preRun)for(typeof Module.preRun=="function"&&(Module.preRun=[Module.preRun]);Module.preRun.length;)addOnPreRun(Module.preRun.shift());callRuntimeCallbacks(__ATPRERUN__)}function ensureInitRuntime(){runtimeInitialized||(runtimeInitialized=!0,callRuntimeCallbacks(__ATINIT__))}function preMain(){callRuntimeCallbacks(__ATMAIN__)}function exitRuntime(){callRuntimeCallbacks(__ATEXIT__),runtimeExited=!0}function postRun(){if(Module.postRun)for(typeof Module.postRun=="function"&&(Module.postRun=[Module.postRun]);Module.postRun.length;)addOnPostRun(Module.postRun.shift());callRuntimeCallbacks(__ATPOSTRUN__)}function addOnPreRun(t){__ATPRERUN__.unshift(t)}Module.addOnPreRun=addOnPreRun;function addOnInit(t){__ATINIT__.unshift(t)}Module.addOnInit=addOnInit;function addOnPreMain(t){__ATMAIN__.unshift(t)}Module.addOnPreMain=addOnPreMain;function addOnExit(t){__ATEXIT__.unshift(t)}Module.addOnExit=addOnExit;function addOnPostRun(t){__ATPOSTRUN__.unshift(t)}Module.addOnPostRun=addOnPostRun;function intArrayFromString(t,e,r){var o=r>0?r:lengthBytesUTF8(t)+1,a=new Array(o),n=stringToUTF8Array(t,a,0,a.length);return e&&(a.length=n),a}Module.intArrayFromString=intArrayFromString;function intArrayToString(t){for(var e=[],r=0;r255&&(o&=255),e.push(String.fromCharCode(o))}return e.join("")}Module.intArrayToString=intArrayToString;function writeStringToMemory(t,e,r){Runtime.warnOnce("writeStringToMemory is deprecated and should not be called! Use stringToUTF8() instead!");var o,a;r&&(a=e+lengthBytesUTF8(t),o=HEAP8[a]),stringToUTF8(t,e,1/0),r&&(HEAP8[a]=o)}Module.writeStringToMemory=writeStringToMemory;function writeArrayToMemory(t,e){HEAP8.set(t,e)}Module.writeArrayToMemory=writeArrayToMemory;function writeAsciiToMemory(t,e,r){for(var o=0;o>0]=t.charCodeAt(o);r||(HEAP8[e>>0]=0)}if(Module.writeAsciiToMemory=writeAsciiToMemory,(!Math.imul||Math.imul(4294967295,5)!==-5)&&(Math.imul=function t(e,r){var o=e>>>16,a=e&65535,n=r>>>16,u=r&65535;return a*u+(o*u+a*n<<16)|0}),Math.imul=Math.imul,!Math.fround){var froundBuffer=new Float32Array(1);Math.fround=function(t){return froundBuffer[0]=t,froundBuffer[0]}}Math.fround=Math.fround,Math.clz32||(Math.clz32=function(t){t=t>>>0;for(var e=0;e<32;e++)if(t&1<<31-e)return e;return 32}),Math.clz32=Math.clz32,Math.trunc||(Math.trunc=function(t){return t<0?Math.ceil(t):Math.floor(t)}),Math.trunc=Math.trunc;var Math_abs=Math.abs,Math_cos=Math.cos,Math_sin=Math.sin,Math_tan=Math.tan,Math_acos=Math.acos,Math_asin=Math.asin,Math_atan=Math.atan,Math_atan2=Math.atan2,Math_exp=Math.exp,Math_log=Math.log,Math_sqrt=Math.sqrt,Math_ceil=Math.ceil,Math_floor=Math.floor,Math_pow=Math.pow,Math_imul=Math.imul,Math_fround=Math.fround,Math_round=Math.round,Math_min=Math.min,Math_clz32=Math.clz32,Math_trunc=Math.trunc,runDependencies=0,runDependencyWatcher=null,dependenciesFulfilled=null;function getUniqueRunDependency(t){return t}function addRunDependency(t){runDependencies++,Module.monitorRunDependencies&&Module.monitorRunDependencies(runDependencies)}Module.addRunDependency=addRunDependency;function removeRunDependency(t){if(runDependencies--,Module.monitorRunDependencies&&Module.monitorRunDependencies(runDependencies),runDependencies==0&&(runDependencyWatcher!==null&&(clearInterval(runDependencyWatcher),runDependencyWatcher=null),dependenciesFulfilled)){var e=dependenciesFulfilled;dependenciesFulfilled=null,e()}}Module.removeRunDependency=removeRunDependency,Module.preloadedImages={},Module.preloadedAudios={};var ASM_CONSTS=[function(t,e,r,o,a,n,u,A){return _nbind.callbackSignatureList[t].apply(this,arguments)}];function _emscripten_asm_const_iiiiiiii(t,e,r,o,a,n,u,A){return ASM_CONSTS[t](e,r,o,a,n,u,A)}function _emscripten_asm_const_iiiii(t,e,r,o,a){return ASM_CONSTS[t](e,r,o,a)}function _emscripten_asm_const_iiidddddd(t,e,r,o,a,n,u,A,p){return ASM_CONSTS[t](e,r,o,a,n,u,A,p)}function _emscripten_asm_const_iiididi(t,e,r,o,a,n,u){return ASM_CONSTS[t](e,r,o,a,n,u)}function _emscripten_asm_const_iiii(t,e,r,o){return ASM_CONSTS[t](e,r,o)}function _emscripten_asm_const_iiiid(t,e,r,o,a){return ASM_CONSTS[t](e,r,o,a)}function _emscripten_asm_const_iiiiii(t,e,r,o,a,n){return 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ye==2?(pe+=te[(Ae&3)<<4],pe+=le+le):ye==4&&(pe+=te[(Ae&15)<<2],pe+=le),pe}C.src="data:audio/x-"+u.substr(-3)+";base64,"+U(n),E(C)},C.src=b,Browser.safeSetTimeout(function(){E(C)},1e4)}else return I()},Module.preloadPlugins.push(e);function r(){Browser.pointerLock=document.pointerLockElement===Module.canvas||document.mozPointerLockElement===Module.canvas||document.webkitPointerLockElement===Module.canvas||document.msPointerLockElement===Module.canvas}var o=Module.canvas;o&&(o.requestPointerLock=o.requestPointerLock||o.mozRequestPointerLock||o.webkitRequestPointerLock||o.msRequestPointerLock||function(){},o.exitPointerLock=document.exitPointerLock||document.mozExitPointerLock||document.webkitExitPointerLock||document.msExitPointerLock||function(){},o.exitPointerLock=o.exitPointerLock.bind(document),document.addEventListener("pointerlockchange",r,!1),document.addEventListener("mozpointerlockchange",r,!1),document.addEventListener("webkitpointerlockchange",r,!1),document.addEventListener("mspointerlockchange",r,!1),Module.elementPointerLock&&o.addEventListener("click",function(a){!Browser.pointerLock&&Module.canvas.requestPointerLock&&(Module.canvas.requestPointerLock(),a.preventDefault())},!1))},createContext:function(t,e,r,o){if(e&&Module.ctx&&t==Module.canvas)return Module.ctx;var a,n;if(e){var u={antialias:!1,alpha:!1};if(o)for(var A in o)u[A]=o[A];n=GL.createContext(t,u),n&&(a=GL.getContext(n).GLctx)}else a=t.getContext("2d");return a?(r&&(e||assert(typeof GLctx>"u","cannot set in module if GLctx is used, but we are a non-GL context that would replace it"),Module.ctx=a,e&&GL.makeContextCurrent(n),Module.useWebGL=e,Browser.moduleContextCreatedCallbacks.forEach(function(p){p()}),Browser.init()),a):null},destroyContext:function(t,e,r){},fullscreenHandlersInstalled:!1,lockPointer:void 0,resizeCanvas:void 0,requestFullscreen:function(t,e,r){Browser.lockPointer=t,Browser.resizeCanvas=e,Browser.vrDevice=r,typeof Browser.lockPointer>"u"&&(Browser.lockPointer=!0),typeof Browser.resizeCanvas>"u"&&(Browser.resizeCanvas=!1),typeof Browser.vrDevice>"u"&&(Browser.vrDevice=null);var o=Module.canvas;function a(){Browser.isFullscreen=!1;var u=o.parentNode;(document.fullscreenElement||document.mozFullScreenElement||document.msFullscreenElement||document.webkitFullscreenElement||document.webkitCurrentFullScreenElement)===u?(o.exitFullscreen=document.exitFullscreen||document.cancelFullScreen||document.mozCancelFullScreen||document.msExitFullscreen||document.webkitCancelFullScreen||function(){},o.exitFullscreen=o.exitFullscreen.bind(document),Browser.lockPointer&&o.requestPointerLock(),Browser.isFullscreen=!0,Browser.resizeCanvas&&Browser.setFullscreenCanvasSize()):(u.parentNode.insertBefore(o,u),u.parentNode.removeChild(u),Browser.resizeCanvas&&Browser.setWindowedCanvasSize()),Module.onFullScreen&&Module.onFullScreen(Browser.isFullscreen),Module.onFullscreen&&Module.onFullscreen(Browser.isFullscreen),Browser.updateCanvasDimensions(o)}Browser.fullscreenHandlersInstalled||(Browser.fullscreenHandlersInstalled=!0,document.addEventListener("fullscreenchange",a,!1),document.addEventListener("mozfullscreenchange",a,!1),document.addEventListener("webkitfullscreenchange",a,!1),document.addEventListener("MSFullscreenChange",a,!1));var n=document.createElement("div");o.parentNode.insertBefore(n,o),n.appendChild(o),n.requestFullscreen=n.requestFullscreen||n.mozRequestFullScreen||n.msRequestFullscreen||(n.webkitRequestFullscreen?function(){n.webkitRequestFullscreen(Element.ALLOW_KEYBOARD_INPUT)}:null)||(n.webkitRequestFullScreen?function(){n.webkitRequestFullScreen(Element.ALLOW_KEYBOARD_INPUT)}:null),r?n.requestFullscreen({vrDisplay:r}):n.requestFullscreen()},requestFullScreen:function(t,e,r){return Module.printErr("Browser.requestFullScreen() is deprecated. Please call Browser.requestFullscreen instead."),Browser.requestFullScreen=function(o,a,n){return Browser.requestFullscreen(o,a,n)},Browser.requestFullscreen(t,e,r)},nextRAF:0,fakeRequestAnimationFrame:function(t){var e=Date.now();if(Browser.nextRAF===0)Browser.nextRAF=e+1e3/60;else for(;e+2>=Browser.nextRAF;)Browser.nextRAF+=1e3/60;var r=Math.max(Browser.nextRAF-e,0);setTimeout(t,r)},requestAnimationFrame:function t(e){typeof window>"u"?Browser.fakeRequestAnimationFrame(e):(window.requestAnimationFrame||(window.requestAnimationFrame=window.requestAnimationFrame||window.mozRequestAnimationFrame||window.webkitRequestAnimationFrame||window.msRequestAnimationFrame||window.oRequestAnimationFrame||Browser.fakeRequestAnimationFrame),window.requestAnimationFrame(e))},safeCallback:function(t){return function(){if(!ABORT)return t.apply(null,arguments)}},allowAsyncCallbacks:!0,queuedAsyncCallbacks:[],pauseAsyncCallbacks:function(){Browser.allowAsyncCallbacks=!1},resumeAsyncCallbacks:function(){if(Browser.allowAsyncCallbacks=!0,Browser.queuedAsyncCallbacks.length>0){var t=Browser.queuedAsyncCallbacks;Browser.queuedAsyncCallbacks=[],t.forEach(function(e){e()})}},safeRequestAnimationFrame:function(t){return Browser.requestAnimationFrame(function(){ABORT||(Browser.allowAsyncCallbacks?t():Browser.queuedAsyncCallbacks.push(t))})},safeSetTimeout:function(t,e){return Module.noExitRuntime=!0,setTimeout(function(){ABORT||(Browser.allowAsyncCallbacks?t():Browser.queuedAsyncCallbacks.push(t))},e)},safeSetInterval:function(t,e){return Module.noExitRuntime=!0,setInterval(function(){ABORT||Browser.allowAsyncCallbacks&&t()},e)},getMimetype:function(t){return{jpg:"image/jpeg",jpeg:"image/jpeg",png:"image/png",bmp:"image/bmp",ogg:"audio/ogg",wav:"audio/wav",mp3:"audio/mpeg"}[t.substr(t.lastIndexOf(".")+1)]},getUserMedia:function(t){window.getUserMedia||(window.getUserMedia=navigator.getUserMedia||navigator.mozGetUserMedia),window.getUserMedia(t)},getMovementX:function(t){return t.movementX||t.mozMovementX||t.webkitMovementX||0},getMovementY:function(t){return t.movementY||t.mozMovementY||t.webkitMovementY||0},getMouseWheelDelta:function(t){var e=0;switch(t.type){case"DOMMouseScroll":e=t.detail;break;case"mousewheel":e=t.wheelDelta;break;case"wheel":e=t.deltaY;break;default:throw"unrecognized mouse wheel event: "+t.type}return e},mouseX:0,mouseY:0,mouseMovementX:0,mouseMovementY:0,touches:{},lastTouches:{},calculateMouseEvent:function(t){if(Browser.pointerLock)t.type!="mousemove"&&"mozMovementX"in t?Browser.mouseMovementX=Browser.mouseMovementY=0:(Browser.mouseMovementX=Browser.getMovementX(t),Browser.mouseMovementY=Browser.getMovementY(t)),typeof SDL<"u"?(Browser.mouseX=SDL.mouseX+Browser.mouseMovementX,Browser.mouseY=SDL.mouseY+Browser.mouseMovementY):(Browser.mouseX+=Browser.mouseMovementX,Browser.mouseY+=Browser.mouseMovementY);else{var e=Module.canvas.getBoundingClientRect(),r=Module.canvas.width,o=Module.canvas.height,a=typeof window.scrollX<"u"?window.scrollX:window.pageXOffset,n=typeof window.scrollY<"u"?window.scrollY:window.pageYOffset;if(t.type==="touchstart"||t.type==="touchend"||t.type==="touchmove"){var u=t.touch;if(u===void 0)return;var A=u.pageX-(a+e.left),p=u.pageY-(n+e.top);A=A*(r/e.width),p=p*(o/e.height);var h={x:A,y:p};if(t.type==="touchstart")Browser.lastTouches[u.identifier]=h,Browser.touches[u.identifier]=h;else if(t.type==="touchend"||t.type==="touchmove"){var E=Browser.touches[u.identifier];E||(E=h),Browser.lastTouches[u.identifier]=E,Browser.touches[u.identifier]=h}return}var I=t.pageX-(a+e.left),v=t.pageY-(n+e.top);I=I*(r/e.width),v=v*(o/e.height),Browser.mouseMovementX=I-Browser.mouseX,Browser.mouseMovementY=v-Browser.mouseY,Browser.mouseX=I,Browser.mouseY=v}},asyncLoad:function(t,e,r,o){var a=o?"":"al "+t;Module.readAsync(t,function(n){assert(n,'Loading data file "'+t+'" failed (no arrayBuffer).'),e(new Uint8Array(n)),a&&removeRunDependency(a)},function(n){if(r)r();else throw'Loading data file "'+t+'" failed.'}),a&&addRunDependency(a)},resizeListeners:[],updateResizeListeners:function(){var t=Module.canvas;Browser.resizeListeners.forEach(function(e){e(t.width,t.height)})},setCanvasSize:function(t,e,r){var o=Module.canvas;Browser.updateCanvasDimensions(o,t,e),r||Browser.updateResizeListeners()},windowedWidth:0,windowedHeight:0,setFullscreenCanvasSize:function(){if(typeof SDL<"u"){var t=HEAPU32[SDL.screen+Runtime.QUANTUM_SIZE*0>>2];t=t|8388608,HEAP32[SDL.screen+Runtime.QUANTUM_SIZE*0>>2]=t}Browser.updateResizeListeners()},setWindowedCanvasSize:function(){if(typeof SDL<"u"){var t=HEAPU32[SDL.screen+Runtime.QUANTUM_SIZE*0>>2];t=t&-8388609,HEAP32[SDL.screen+Runtime.QUANTUM_SIZE*0>>2]=t}Browser.updateResizeListeners()},updateCanvasDimensions:function(t,e,r){e&&r?(t.widthNative=e,t.heightNative=r):(e=t.widthNative,r=t.heightNative);var o=e,a=r;if(Module.forcedAspectRatio&&Module.forcedAspectRatio>0&&(o/a>2];return e},getStr:function(){var t=Pointer_stringify(SYSCALLS.get());return t},get64:function(){var t=SYSCALLS.get(),e=SYSCALLS.get();return t>=0?assert(e===0):assert(e===-1),t},getZero:function(){assert(SYSCALLS.get()===0)}};function ___syscall6(t,e){SYSCALLS.varargs=e;try{var r=SYSCALLS.getStreamFromFD();return FS.close(r),0}catch(o){return(typeof FS>"u"||!(o instanceof FS.ErrnoError))&&abort(o),-o.errno}}function ___syscall54(t,e){SYSCALLS.varargs=e;try{return 0}catch(r){return(typeof FS>"u"||!(r instanceof FS.ErrnoError))&&abort(r),-r.errno}}function _typeModule(t){var e=[[0,1,"X"],[1,1,"const X"],[128,1,"X *"],[256,1,"X &"],[384,1,"X &&"],[512,1,"std::shared_ptr"],[640,1,"std::unique_ptr"],[5120,1,"std::vector"],[6144,2,"std::array"],[9216,-1,"std::function"]];function r(p,h,E,I,v,b){if(h==1){var C=I&896;(C==128||C==256||C==384)&&(p="X const")}var T;return b?T=E.replace("X",p).replace("Y",v):T=p.replace("X",E).replace("Y",v),T.replace(/([*&]) (?=[*&])/g,"$1")}function o(p,h,E,I,v){throw new Error(p+" type "+E.replace("X",h+"?")+(I?" with flag "+I:"")+" in "+v)}function a(p,h,E,I,v,b,C,T){b===void 0&&(b="X"),T===void 0&&(T=1);var L=E(p);if(L)return L;var U=I(p),J=U.placeholderFlag,te=e[J];C&&te&&(b=r(C[2],C[0],b,te[0],"?",!0));var le;J==0&&(le="Unbound"),J>=10&&(le="Corrupt"),T>20&&(le="Deeply nested"),le&&o(le,p,b,J,v||"?");var pe=U.paramList[0],Ae=a(pe,h,E,I,v,b,te,T+1),ye,ae={flags:te[0],id:p,name:"",paramList:[Ae]},we=[],Pe="?";switch(U.placeholderFlag){case 1:ye=Ae.spec;break;case 2:if((Ae.flags&15360)==1024&&Ae.spec.ptrSize==1){ae.flags=7168;break}case 3:case 6:case 5:ye=Ae.spec,Ae.flags&15360;break;case 8:Pe=""+U.paramList[1],ae.paramList.push(U.paramList[1]);break;case 9:for(var g=0,Ee=U.paramList[1];g>2]=t),t}function _llvm_stacksave(){var t=_llvm_stacksave;return t.LLVM_SAVEDSTACKS||(t.LLVM_SAVEDSTACKS=[]),t.LLVM_SAVEDSTACKS.push(Runtime.stackSave()),t.LLVM_SAVEDSTACKS.length-1}function ___syscall140(t,e){SYSCALLS.varargs=e;try{var r=SYSCALLS.getStreamFromFD(),o=SYSCALLS.get(),a=SYSCALLS.get(),n=SYSCALLS.get(),u=SYSCALLS.get(),A=a;return FS.llseek(r,A,u),HEAP32[n>>2]=r.position,r.getdents&&A===0&&u===0&&(r.getdents=null),0}catch(p){return(typeof FS>"u"||!(p instanceof FS.ErrnoError))&&abort(p),-p.errno}}function ___syscall146(t,e){SYSCALLS.varargs=e;try{var r=SYSCALLS.get(),o=SYSCALLS.get(),a=SYSCALLS.get(),n=0;___syscall146.buffer||(___syscall146.buffers=[null,[],[]],___syscall146.printChar=function(E,I){var v=___syscall146.buffers[E];assert(v),I===0||I===10?((E===1?Module.print:Module.printErr)(UTF8ArrayToString(v,0)),v.length=0):v.push(I)});for(var u=0;u>2],p=HEAP32[o+(u*8+4)>>2],h=0;h"u"||!(E instanceof FS.ErrnoError))&&abort(E),-E.errno}}function __nbind_finish(){for(var t=0,e=_nbind.BindClass.list;tt.pageSize/2||e>t.pageSize-r){var o=_nbind.typeNameTbl.NBind.proto;return o.lalloc(e)}else return HEAPU32[t.usedPtr]=r+e,t.rootPtr+r},t.lreset=function(e,r){var o=HEAPU32[t.pagePtr];if(o){var a=_nbind.typeNameTbl.NBind.proto;a.lreset(e,r)}else HEAPU32[t.usedPtr]=e},t}();_nbind.Pool=Pool;function constructType(t,e){var r=t==10240?_nbind.makeTypeNameTbl[e.name]||_nbind.BindType:_nbind.makeTypeKindTbl[t],o=new r(e);return typeIdTbl[e.id]=o,_nbind.typeNameTbl[e.name]=o,o}_nbind.constructType=constructType;function getType(t){return typeIdTbl[t]}_nbind.getType=getType;function queryType(t){var e=HEAPU8[t],r=_nbind.structureList[e][1];t/=4,r<0&&(++t,r=HEAPU32[t]+1);var o=Array.prototype.slice.call(HEAPU32.subarray(t+1,t+1+r));return e==9&&(o=[o[0],o.slice(1)]),{paramList:o,placeholderFlag:e}}_nbind.queryType=queryType;function getTypes(t,e){return t.map(function(r){return typeof r=="number"?_nbind.getComplexType(r,constructType,getType,queryType,e):_nbind.typeNameTbl[r]})}_nbind.getTypes=getTypes;function readTypeIdList(t,e){return Array.prototype.slice.call(HEAPU32,t/4,t/4+e)}_nbind.readTypeIdList=readTypeIdList;function readAsciiString(t){for(var e=t;HEAPU8[e++];);return String.fromCharCode.apply("",HEAPU8.subarray(t,e-1))}_nbind.readAsciiString=readAsciiString;function readPolicyList(t){var e={};if(t)for(;;){var r=HEAPU32[t/4];if(!r)break;e[readAsciiString(r)]=!0,t+=4}return e}_nbind.readPolicyList=readPolicyList;function getDynCall(t,e){var r={float32_t:"d",float64_t:"d",int64_t:"d",uint64_t:"d",void:"v"},o=t.map(function(n){return r[n.name]||"i"}).join(""),a=Module["dynCall_"+o];if(!a)throw new Error("dynCall_"+o+" not found for "+e+"("+t.map(function(n){return n.name}).join(", ")+")");return a}_nbind.getDynCall=getDynCall;function addMethod(t,e,r,o){var a=t[e];t.hasOwnProperty(e)&&a?((a.arity||a.arity===0)&&(a=_nbind.makeOverloader(a,a.arity),t[e]=a),a.addMethod(r,o)):(r.arity=o,t[e]=r)}_nbind.addMethod=addMethod;function throwError(t){throw new Error(t)}_nbind.throwError=throwError,_nbind.bigEndian=!1,_a=_typeModule(_typeModule),_nbind.Type=_a.Type,_nbind.makeType=_a.makeType,_nbind.getComplexType=_a.getComplexType,_nbind.structureList=_a.structureList;var BindType=function(t){__extends(e,t);function e(){var r=t!==null&&t.apply(this,arguments)||this;return r.heap=HEAPU32,r.ptrSize=4,r}return e.prototype.needsWireRead=function(r){return!!this.wireRead||!!this.makeWireRead},e.prototype.needsWireWrite=function(r){return!!this.wireWrite||!!this.makeWireWrite},e}(_nbind.Type);_nbind.BindType=BindType;var PrimitiveType=function(t){__extends(e,t);function e(r){var o=t.call(this,r)||this,a=r.flags&32?{32:HEAPF32,64:HEAPF64}:r.flags&8?{8:HEAPU8,16:HEAPU16,32:HEAPU32}:{8:HEAP8,16:HEAP16,32:HEAP32};return o.heap=a[r.ptrSize*8],o.ptrSize=r.ptrSize,o}return e.prototype.needsWireWrite=function(r){return!!r&&!!r.Strict},e.prototype.makeWireWrite=function(r,o){return o&&o.Strict&&function(a){if(typeof a=="number")return a;throw new Error("Type mismatch")}},e}(BindType);_nbind.PrimitiveType=PrimitiveType;function pushCString(t,e){if(t==null){if(e&&e.Nullable)return 0;throw new Error("Type mismatch")}if(e&&e.Strict){if(typeof t!="string")throw new Error("Type mismatch")}else t=t.toString();var r=Module.lengthBytesUTF8(t)+1,o=_nbind.Pool.lalloc(r);return Module.stringToUTF8Array(t,HEAPU8,o,r),o}_nbind.pushCString=pushCString;function popCString(t){return t===0?null:Module.Pointer_stringify(t)}_nbind.popCString=popCString;var CStringType=function(t){__extends(e,t);function e(){var r=t!==null&&t.apply(this,arguments)||this;return r.wireRead=popCString,r.wireWrite=pushCString,r.readResources=[_nbind.resources.pool],r.writeResources=[_nbind.resources.pool],r}return e.prototype.makeWireWrite=function(r,o){return function(a){return pushCString(a,o)}},e}(BindType);_nbind.CStringType=CStringType;var BooleanType=function(t){__extends(e,t);function e(){var r=t!==null&&t.apply(this,arguments)||this;return r.wireRead=function(o){return!!o},r}return e.prototype.needsWireWrite=function(r){return!!r&&!!r.Strict},e.prototype.makeWireRead=function(r){return"!!("+r+")"},e.prototype.makeWireWrite=function(r,o){return o&&o.Strict&&function(a){if(typeof a=="boolean")return a;throw new Error("Type mismatch")}||r},e}(BindType);_nbind.BooleanType=BooleanType;var Wrapper=function(){function t(){}return t.prototype.persist=function(){this.__nbindState|=1},t}();_nbind.Wrapper=Wrapper;function makeBound(t,e){var r=function(o){__extends(a,o);function a(n,u,A,p){var h=o.call(this)||this;if(!(h instanceof a))return new(Function.prototype.bind.apply(a,Array.prototype.concat.apply([null],arguments)));var E=u,I=A,v=p;if(n!==_nbind.ptrMarker){var b=h.__nbindConstructor.apply(h,arguments);E=4608,v=HEAPU32[b/4],I=HEAPU32[b/4+1]}var C={configurable:!0,enumerable:!1,value:null,writable:!1},T={__nbindFlags:E,__nbindPtr:I};v&&(T.__nbindShared=v,_nbind.mark(h));for(var L=0,U=Object.keys(T);L>=1;var r=_nbind.valueList[t];return _nbind.valueList[t]=firstFreeValue,firstFreeValue=t,r}else{if(e)return _nbind.popShared(t,e);throw new Error("Invalid value slot "+t)}}_nbind.popValue=popValue;var valueBase=18446744073709552e3;function push64(t){return typeof t=="number"?t:pushValue(t)*4096+valueBase}function pop64(t){return t=3?u=Buffer.from(n):u=new Buffer(n),u.copy(o)}else getBuffer(o).set(n)}}_nbind.commitBuffer=commitBuffer;var dirtyList=[],gcTimer=0;function sweep(){for(var t=0,e=dirtyList;t>2]=DYNAMIC_BASE,staticSealed=!0;function invoke_viiiii(t,e,r,o,a,n){try{Module.dynCall_viiiii(t,e,r,o,a,n)}catch(u){if(typeof u!="number"&&u!=="longjmp")throw u;Module.setThrew(1,0)}}function invoke_vif(t,e,r){try{Module.dynCall_vif(t,e,r)}catch(o){if(typeof o!="number"&&o!=="longjmp")throw o;Module.setThrew(1,0)}}function invoke_vid(t,e,r){try{Module.dynCall_vid(t,e,r)}catch(o){if(typeof o!="number"&&o!=="longjmp")throw o;Module.setThrew(1,0)}}function invoke_fiff(t,e,r,o){try{return Module.dynCall_fiff(t,e,r,o)}catch(a){if(typeof a!="number"&&a!=="longjmp")throw a;Module.setThrew(1,0)}}function invoke_vi(t,e){try{Module.dynCall_vi(t,e)}catch(r){if(typeof r!="number"&&r!=="longjmp")throw r;Module.setThrew(1,0)}}function invoke_vii(t,e,r){try{Module.dynCall_vii(t,e,r)}catch(o){if(typeof o!="number"&&o!=="longjmp")throw o;Module.setThrew(1,0)}}function invoke_ii(t,e){try{return Module.dynCall_ii(t,e)}catch(r){if(typeof r!="number"&&r!=="longjmp")throw r;Module.setThrew(1,0)}}function invoke_viddi(t,e,r,o,a){try{Module.dynCall_viddi(t,e,r,o,a)}catch(n){if(typeof n!="number"&&n!=="longjmp")throw n;Module.setThrew(1,0)}}function invoke_vidd(t,e,r,o){try{Module.dynCall_vidd(t,e,r,o)}catch(a){if(typeof a!="number"&&a!=="longjmp")throw a;Module.setThrew(1,0)}}function invoke_iiii(t,e,r,o){try{return Module.dynCall_iiii(t,e,r,o)}catch(a){if(typeof a!="number"&&a!=="longjmp")throw a;Module.setThrew(1,0)}}function invoke_diii(t,e,r,o){try{return Module.dynCall_diii(t,e,r,o)}catch(a){if(typeof a!="number"&&a!=="longjmp")throw a;Module.setThrew(1,0)}}function invoke_di(t,e){try{return Module.dynCall_di(t,e)}catch(r){if(typeof r!="number"&&r!=="longjmp")throw r;Module.setThrew(1,0)}}function 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f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0,Ge=0,Oe=0,Fe=0,et=0,Xe=0;et=C,C=C+64|0,q=et+52|0,k=et+48|0,se=et+28|0,Ge=et+24|0,Oe=et+20|0,Fe=et,f=n[s>>2]|0,m=f,l=f+((n[l>>2]|0)-m>>2<<2)|0,f=s+4|0,d=n[f>>2]|0,B=s+8|0;do if(d>>>0<(n[B>>2]|0)>>>0){if((l|0)==(d|0)){n[l>>2]=n[c>>2],n[f>>2]=(n[f>>2]|0)+4;break}_A(s,l,d,l+4|0),l>>>0<=c>>>0&&(c=(n[f>>2]|0)>>>0>c>>>0?c+4|0:c),n[l>>2]=n[c>>2]}else{f=(d-m>>2)+1|0,d=N(s)|0,d>>>0>>0&&zr(s),M=n[s>>2]|0,O=(n[B>>2]|0)-M|0,m=O>>1,wp(Fe,O>>2>>>0>>1>>>0?m>>>0>>0?f:m:d,l-M>>2,s+8|0),M=Fe+8|0,f=n[M>>2]|0,m=Fe+12|0,O=n[m>>2]|0,B=O,Q=f;do 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Rt(s){s=s|0,Un(s,(n[s+964>>2]|0)!=0,2832),Le(s)}function er(s){return s=s|0,(o[s+984>>0]|0)!=0|0}function Zr(s,l){s=s|0,l=l|0,LUe(s,l,400)|0&&(Dr(s|0,l|0,400)|0,Le(s))}function qi(s){s=s|0;var l=Ze;return l=y(h[s+44>>2]),s=_t(l)|0,y(s?y(0):l)}function es(s){s=s|0;var l=Ze;return l=y(h[s+48>>2]),_t(l)|0&&(l=o[(n[s+976>>2]|0)+2>>0]|0?y(1):y(0)),y(l)}function xi(s,l){s=s|0,l=l|0,n[s+980>>2]=l}function jo(s){return s=s|0,n[s+980>>2]|0}function bA(s,l){s=s|0,l=l|0;var c=0;c=s+4|0,(n[c>>2]|0)!=(l|0)&&(n[c>>2]=l,Le(s))}function kA(s){return s=s|0,n[s+4>>2]|0}function up(s,l){s=s|0,l=l|0;var c=0;c=s+8|0,(n[c>>2]|0)!=(l|0)&&(n[c>>2]=l,Le(s))}function ng(s){return s=s|0,n[s+8>>2]|0}function gu(s,l){s=s|0,l=l|0;var c=0;c=s+12|0,(n[c>>2]|0)!=(l|0)&&(n[c>>2]=l,Le(s))}function ig(s){return s=s|0,n[s+12>>2]|0}function du(s,l){s=s|0,l=l|0;var c=0;c=s+16|0,(n[c>>2]|0)!=(l|0)&&(n[c>>2]=l,Le(s))}function uo(s){return s=s|0,n[s+16>>2]|0}function QA(s,l){s=s|0,l=l|0;var c=0;c=s+20|0,(n[c>>2]|0)!=(l|0)&&(n[c>>2]=l,Le(s))}function mc(s){return s=s|0,n[s+20>>2]|0}function ca(s,l){s=s|0,l=l|0;var c=0;c=s+24|0,(n[c>>2]|0)!=(l|0)&&(n[c>>2]=l,Le(s))}function sg(s){return s=s|0,n[s+24>>2]|0}function yc(s,l){s=s|0,l=l|0;var c=0;c=s+28|0,(n[c>>2]|0)!=(l|0)&&(n[c>>2]=l,Le(s))}function Pm(s){return s=s|0,n[s+28>>2]|0}function og(s,l){s=s|0,l=l|0;var c=0;c=s+32|0,(n[c>>2]|0)!=(l|0)&&(n[c>>2]=l,Le(s))}function $n(s){return s=s|0,n[s+32>>2]|0}function Ap(s,l){s=s|0,l=l|0;var c=0;c=s+36|0,(n[c>>2]|0)!=(l|0)&&(n[c>>2]=l,Le(s))}function ag(s){return s=s|0,n[s+36>>2]|0}function FA(s,l){s=s|0,l=y(l);var c=0;c=s+40|0,y(h[c>>2])!=l&&(h[c>>2]=l,Le(s))}function Hs(s,l){s=s|0,l=y(l);var c=0;c=s+44|0,y(h[c>>2])!=l&&(h[c>>2]=l,Le(s))}function mu(s,l){s=s|0,l=y(l);var c=0;c=s+48|0,y(h[c>>2])!=l&&(h[c>>2]=l,Le(s))}function Ha(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=(m^1)&1,f=s+52|0,d=s+56|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function Gi(s,l){s=s|0,l=y(l);var c=0,f=0;f=s+52|0,c=s+56|0,y(h[f>>2])==l&&(n[c>>2]|0)==2||(h[f>>2]=l,f=_t(l)|0,n[c>>2]=f?3:2,Le(s))}function ua(s,l){s=s|0,l=l|0;var c=0,f=0;f=l+52|0,c=n[f+4>>2]|0,l=s,n[l>>2]=n[f>>2],n[l+4>>2]=c}function yu(s,l,c){s=s|0,l=l|0,c=y(c);var f=0,d=0,m=0;m=_t(c)|0,f=(m^1)&1,d=s+132+(l<<3)|0,l=s+132+(l<<3)+4|0,m|y(h[d>>2])==c&&(n[l>>2]|0)==(f|0)||(h[d>>2]=c,n[l>>2]=f,Le(s))}function Es(s,l,c){s=s|0,l=l|0,c=y(c);var f=0,d=0,m=0;m=_t(c)|0,f=m?0:2,d=s+132+(l<<3)|0,l=s+132+(l<<3)+4|0,m|y(h[d>>2])==c&&(n[l>>2]|0)==(f|0)||(h[d>>2]=c,n[l>>2]=f,Le(s))}function Ec(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=l+132+(c<<3)|0,l=n[f+4>>2]|0,c=s,n[c>>2]=n[f>>2],n[c+4>>2]=l}function Cc(s,l,c){s=s|0,l=l|0,c=y(c);var f=0,d=0,m=0;m=_t(c)|0,f=(m^1)&1,d=s+60+(l<<3)|0,l=s+60+(l<<3)+4|0,m|y(h[d>>2])==c&&(n[l>>2]|0)==(f|0)||(h[d>>2]=c,n[l>>2]=f,Le(s))}function G(s,l,c){s=s|0,l=l|0,c=y(c);var f=0,d=0,m=0;m=_t(c)|0,f=m?0:2,d=s+60+(l<<3)|0,l=s+60+(l<<3)+4|0,m|y(h[d>>2])==c&&(n[l>>2]|0)==(f|0)||(h[d>>2]=c,n[l>>2]=f,Le(s))}function Dt(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=l+60+(c<<3)|0,l=n[f+4>>2]|0,c=s,n[c>>2]=n[f>>2],n[c+4>>2]=l}function wl(s,l){s=s|0,l=l|0;var c=0;c=s+60+(l<<3)+4|0,(n[c>>2]|0)!=3&&(h[s+60+(l<<3)>>2]=y(Ae),n[c>>2]=3,Le(s))}function bi(s,l,c){s=s|0,l=l|0,c=y(c);var f=0,d=0,m=0;m=_t(c)|0,f=(m^1)&1,d=s+204+(l<<3)|0,l=s+204+(l<<3)+4|0,m|y(h[d>>2])==c&&(n[l>>2]|0)==(f|0)||(h[d>>2]=c,n[l>>2]=f,Le(s))}function wc(s,l,c){s=s|0,l=l|0,c=y(c);var f=0,d=0,m=0;m=_t(c)|0,f=m?0:2,d=s+204+(l<<3)|0,l=s+204+(l<<3)+4|0,m|y(h[d>>2])==c&&(n[l>>2]|0)==(f|0)||(h[d>>2]=c,n[l>>2]=f,Le(s))}function ct(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=l+204+(c<<3)|0,l=n[f+4>>2]|0,c=s,n[c>>2]=n[f>>2],n[c+4>>2]=l}function Eu(s,l,c){s=s|0,l=l|0,c=y(c);var f=0,d=0,m=0;m=_t(c)|0,f=(m^1)&1,d=s+276+(l<<3)|0,l=s+276+(l<<3)+4|0,m|y(h[d>>2])==c&&(n[l>>2]|0)==(f|0)||(h[d>>2]=c,n[l>>2]=f,Le(s))}function lg(s,l){return s=s|0,l=l|0,y(h[s+276+(l<<3)>>2])}function mw(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=(m^1)&1,f=s+348|0,d=s+352|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function TA(s,l){s=s|0,l=y(l);var c=0,f=0;f=s+348|0,c=s+352|0,y(h[f>>2])==l&&(n[c>>2]|0)==2||(h[f>>2]=l,f=_t(l)|0,n[c>>2]=f?3:2,Le(s))}function fp(s){s=s|0;var l=0;l=s+352|0,(n[l>>2]|0)!=3&&(h[s+348>>2]=y(Ae),n[l>>2]=3,Le(s))}function Br(s,l){s=s|0,l=l|0;var c=0,f=0;f=l+348|0,c=n[f+4>>2]|0,l=s,n[l>>2]=n[f>>2],n[l+4>>2]=c}function Cs(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=(m^1)&1,f=s+356|0,d=s+360|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function cg(s,l){s=s|0,l=y(l);var c=0,f=0;f=s+356|0,c=s+360|0,y(h[f>>2])==l&&(n[c>>2]|0)==2||(h[f>>2]=l,f=_t(l)|0,n[c>>2]=f?3:2,Le(s))}function ug(s){s=s|0;var l=0;l=s+360|0,(n[l>>2]|0)!=3&&(h[s+356>>2]=y(Ae),n[l>>2]=3,Le(s))}function Ag(s,l){s=s|0,l=l|0;var c=0,f=0;f=l+356|0,c=n[f+4>>2]|0,l=s,n[l>>2]=n[f>>2],n[l+4>>2]=c}function pp(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=(m^1)&1,f=s+364|0,d=s+368|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function Ic(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=m?0:2,f=s+364|0,d=s+368|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function Ct(s,l){s=s|0,l=l|0;var c=0,f=0;f=l+364|0,c=n[f+4>>2]|0,l=s,n[l>>2]=n[f>>2],n[l+4>>2]=c}function Sm(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=(m^1)&1,f=s+372|0,d=s+376|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function fg(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=m?0:2,f=s+372|0,d=s+376|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function pg(s,l){s=s|0,l=l|0;var c=0,f=0;f=l+372|0,c=n[f+4>>2]|0,l=s,n[l>>2]=n[f>>2],n[l+4>>2]=c}function Cu(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=(m^1)&1,f=s+380|0,d=s+384|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function xm(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=m?0:2,f=s+380|0,d=s+384|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function hg(s,l){s=s|0,l=l|0;var c=0,f=0;f=l+380|0,c=n[f+4>>2]|0,l=s,n[l>>2]=n[f>>2],n[l+4>>2]=c}function wu(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=(m^1)&1,f=s+388|0,d=s+392|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function yw(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=m?0:2,f=s+388|0,d=s+392|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function bm(s,l){s=s|0,l=l|0;var c=0,f=0;f=l+388|0,c=n[f+4>>2]|0,l=s,n[l>>2]=n[f>>2],n[l+4>>2]=c}function Aa(s,l){s=s|0,l=y(l);var c=0;c=s+396|0,y(h[c>>2])!=l&&(h[c>>2]=l,Le(s))}function Bc(s){return s=s|0,y(h[s+396>>2])}function Il(s){return s=s|0,y(h[s+400>>2])}function Iu(s){return s=s|0,y(h[s+404>>2])}function gg(s){return s=s|0,y(h[s+408>>2])}function RA(s){return s=s|0,y(h[s+412>>2])}function hp(s){return s=s|0,y(h[s+416>>2])}function ja(s){return s=s|0,y(h[s+420>>2])}function dg(s,l){switch(s=s|0,l=l|0,Un(s,(l|0)<6,2918),l|0){case 0:{l=(n[s+496>>2]|0)==2?5:4;break}case 2:{l=(n[s+496>>2]|0)==2?4:5;break}default:}return y(h[s+424+(l<<2)>>2])}function gp(s,l){switch(s=s|0,l=l|0,Un(s,(l|0)<6,2918),l|0){case 0:{l=(n[s+496>>2]|0)==2?5:4;break}case 2:{l=(n[s+496>>2]|0)==2?4:5;break}default:}return y(h[s+448+(l<<2)>>2])}function qo(s,l){switch(s=s|0,l=l|0,Un(s,(l|0)<6,2918),l|0){case 0:{l=(n[s+496>>2]|0)==2?5:4;break}case 2:{l=(n[s+496>>2]|0)==2?4:5;break}default:}return y(h[s+472+(l<<2)>>2])}function ws(s,l){s=s|0,l=l|0;var c=0,f=Ze;return c=n[s+4>>2]|0,(c|0)==(n[l+4>>2]|0)?c?(f=y(h[s>>2]),s=y(ne(y(f-y(h[l>>2]))))>2]=0,n[f+4>>2]=0,n[f+8>>2]=0,Oa(f|0,s|0,l|0,0),Ao(s,3,(o[f+11>>0]|0)<0?n[f>>2]|0:f,c),s3e(f),C=c}function Go(s,l,c,f){s=y(s),l=y(l),c=c|0,f=f|0;var d=Ze;s=y(s*l),d=y(kT(s,y(1)));do if(Ii(d,y(0))|0)s=y(s-d);else{if(s=y(s-d),Ii(d,y(1))|0){s=y(s+y(1));break}if(c){s=y(s+y(1));break}f||(d>y(.5)?d=y(1):(f=Ii(d,y(.5))|0,d=y(f?1:0)),s=y(s+d))}while(0);return y(s/l)}function NA(s,l,c,f,d,m,B,k,Q,O,M,q,se){s=s|0,l=y(l),c=c|0,f=y(f),d=d|0,m=y(m),B=B|0,k=y(k),Q=y(Q),O=y(O),M=y(M),q=y(q),se=se|0;var Ge=0,Oe=Ze,Fe=Ze,et=Ze,Xe=Ze,at=Ze,Ue=Ze;return Q>2]),Oe!=y(0))?(et=y(Go(l,Oe,0,0)),Xe=y(Go(f,Oe,0,0)),Fe=y(Go(m,Oe,0,0)),Oe=y(Go(k,Oe,0,0))):(Fe=m,et=l,Oe=k,Xe=f),(d|0)==(s|0)?Ge=Ii(Fe,et)|0:Ge=0,(B|0)==(c|0)?se=Ii(Oe,Xe)|0:se=0,!Ge&&(at=y(l-M),!(dp(s,at,Q)|0))&&!(mp(s,at,d,Q)|0)?Ge=mg(s,at,d,m,Q)|0:Ge=1,!se&&(Ue=y(f-q),!(dp(c,Ue,O)|0))&&!(mp(c,Ue,B,O)|0)?se=mg(c,Ue,B,k,O)|0:se=1,se=Ge&se),se|0}function dp(s,l,c){return s=s|0,l=y(l),c=y(c),(s|0)==1?s=Ii(l,c)|0:s=0,s|0}function mp(s,l,c,f){return s=s|0,l=y(l),c=c|0,f=y(f),(s|0)==2&(c|0)==0?l>=f?s=1:s=Ii(l,f)|0:s=0,s|0}function mg(s,l,c,f,d){return s=s|0,l=y(l),c=c|0,f=y(f),d=y(d),(s|0)==2&(c|0)==2&f>l?d<=l?s=1:s=Ii(l,d)|0:s=0,s|0}function fa(s,l,c,f,d,m,B,k,Q,O,M){s=s|0,l=y(l),c=y(c),f=f|0,d=d|0,m=m|0,B=y(B),k=y(k),Q=Q|0,O=O|0,M=M|0;var q=0,se=0,Ge=0,Oe=0,Fe=Ze,et=Ze,Xe=0,at=0,Ue=0,qe=0,Lt=0,Or=0,or=0,Xt=0,Pr=0,Nr=0,ir=0,bn=Ze,go=Ze,mo=Ze,yo=0,ya=0;ir=C,C=C+160|0,Xt=ir+152|0,or=ir+120|0,Or=ir+104|0,Ue=ir+72|0,Oe=ir+56|0,Lt=ir+8|0,at=ir,qe=(n[2279]|0)+1|0,n[2279]=qe,Pr=s+984|0,(o[Pr>>0]|0)!=0&&(n[s+512>>2]|0)!=(n[2278]|0)?Xe=4:(n[s+516>>2]|0)==(f|0)?Nr=0:Xe=4,(Xe|0)==4&&(n[s+520>>2]=0,n[s+924>>2]=-1,n[s+928>>2]=-1,h[s+932>>2]=y(-1),h[s+936>>2]=y(-1),Nr=1);e:do if(n[s+964>>2]|0)if(Fe=y(ln(s,2,B)),et=y(ln(s,0,B)),q=s+916|0,mo=y(h[q>>2]),go=y(h[s+920>>2]),bn=y(h[s+932>>2]),NA(d,l,m,c,n[s+924>>2]|0,mo,n[s+928>>2]|0,go,bn,y(h[s+936>>2]),Fe,et,M)|0)Xe=22;else if(Ge=n[s+520>>2]|0,!Ge)Xe=21;else for(se=0;;){if(q=s+524+(se*24|0)|0,bn=y(h[q>>2]),go=y(h[s+524+(se*24|0)+4>>2]),mo=y(h[s+524+(se*24|0)+16>>2]),NA(d,l,m,c,n[s+524+(se*24|0)+8>>2]|0,bn,n[s+524+(se*24|0)+12>>2]|0,go,mo,y(h[s+524+(se*24|0)+20>>2]),Fe,et,M)|0){Xe=22;break e}if(se=se+1|0,se>>>0>=Ge>>>0){Xe=21;break}}else{if(Q){if(q=s+916|0,!(Ii(y(h[q>>2]),l)|0)){Xe=21;break}if(!(Ii(y(h[s+920>>2]),c)|0)){Xe=21;break}if((n[s+924>>2]|0)!=(d|0)){Xe=21;break}q=(n[s+928>>2]|0)==(m|0)?q:0,Xe=22;break}if(Ge=n[s+520>>2]|0,!Ge)Xe=21;else for(se=0;;){if(q=s+524+(se*24|0)|0,Ii(y(h[q>>2]),l)|0&&Ii(y(h[s+524+(se*24|0)+4>>2]),c)|0&&(n[s+524+(se*24|0)+8>>2]|0)==(d|0)&&(n[s+524+(se*24|0)+12>>2]|0)==(m|0)){Xe=22;break e}if(se=se+1|0,se>>>0>=Ge>>>0){Xe=21;break}}}while(0);do if((Xe|0)==21)o[11697]|0?(q=0,Xe=28):(q=0,Xe=31);else if((Xe|0)==22){if(se=(o[11697]|0)!=0,!((q|0)!=0&(Nr^1)))if(se){Xe=28;break}else{Xe=31;break}Oe=q+16|0,n[s+908>>2]=n[Oe>>2],Ge=q+20|0,n[s+912>>2]=n[Ge>>2],(o[11698]|0)==0|se^1||(n[at>>2]=LA(qe)|0,n[at+4>>2]=qe,Ao(s,4,2972,at),se=n[s+972>>2]|0,se|0&&ef[se&127](s),d=qa(d,Q)|0,m=qa(m,Q)|0,ya=+y(h[Oe>>2]),yo=+y(h[Ge>>2]),n[Lt>>2]=d,n[Lt+4>>2]=m,E[Lt+8>>3]=+l,E[Lt+16>>3]=+c,E[Lt+24>>3]=ya,E[Lt+32>>3]=yo,n[Lt+40>>2]=O,Ao(s,4,2989,Lt))}while(0);return(Xe|0)==28&&(se=LA(qe)|0,n[Oe>>2]=se,n[Oe+4>>2]=qe,n[Oe+8>>2]=Nr?3047:11699,Ao(s,4,3038,Oe),se=n[s+972>>2]|0,se|0&&ef[se&127](s),Lt=qa(d,Q)|0,Xe=qa(m,Q)|0,n[Ue>>2]=Lt,n[Ue+4>>2]=Xe,E[Ue+8>>3]=+l,E[Ue+16>>3]=+c,n[Ue+24>>2]=O,Ao(s,4,3049,Ue),Xe=31),(Xe|0)==31&&(si(s,l,c,f,d,m,B,k,Q,M),o[11697]|0&&(se=n[2279]|0,Lt=LA(se)|0,n[Or>>2]=Lt,n[Or+4>>2]=se,n[Or+8>>2]=Nr?3047:11699,Ao(s,4,3083,Or),se=n[s+972>>2]|0,se|0&&ef[se&127](s),Lt=qa(d,Q)|0,Or=qa(m,Q)|0,yo=+y(h[s+908>>2]),ya=+y(h[s+912>>2]),n[or>>2]=Lt,n[or+4>>2]=Or,E[or+8>>3]=yo,E[or+16>>3]=ya,n[or+24>>2]=O,Ao(s,4,3092,or)),n[s+516>>2]=f,q||(se=s+520|0,q=n[se>>2]|0,(q|0)==16&&(o[11697]|0&&Ao(s,4,3124,Xt),n[se>>2]=0,q=0),Q?q=s+916|0:(n[se>>2]=q+1,q=s+524+(q*24|0)|0),h[q>>2]=l,h[q+4>>2]=c,n[q+8>>2]=d,n[q+12>>2]=m,n[q+16>>2]=n[s+908>>2],n[q+20>>2]=n[s+912>>2],q=0)),Q&&(n[s+416>>2]=n[s+908>>2],n[s+420>>2]=n[s+912>>2],o[s+985>>0]=1,o[Pr>>0]=0),n[2279]=(n[2279]|0)+-1,n[s+512>>2]=n[2278],C=ir,Nr|(q|0)==0|0}function ln(s,l,c){s=s|0,l=l|0,c=y(c);var f=Ze;return f=y(V(s,l,c)),y(f+y(re(s,l,c)))}function Ao(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;m=C,C=C+16|0,d=m,n[d>>2]=f,s?f=n[s+976>>2]|0:f=0,Eg(f,s,l,c,d),C=m}function LA(s){return s=s|0,(s>>>0>60?3201:3201+(60-s)|0)|0}function qa(s,l){s=s|0,l=l|0;var c=0,f=0,d=0;return d=C,C=C+32|0,c=d+12|0,f=d,n[c>>2]=n[254],n[c+4>>2]=n[255],n[c+8>>2]=n[256],n[f>>2]=n[257],n[f+4>>2]=n[258],n[f+8>>2]=n[259],(s|0)>2?s=11699:s=n[(l?f:c)+(s<<2)>>2]|0,C=d,s|0}function si(s,l,c,f,d,m,B,k,Q,O){s=s|0,l=y(l),c=y(c),f=f|0,d=d|0,m=m|0,B=y(B),k=y(k),Q=Q|0,O=O|0;var M=0,q=0,se=0,Ge=0,Oe=Ze,Fe=Ze,et=Ze,Xe=Ze,at=Ze,Ue=Ze,qe=Ze,Lt=0,Or=0,or=0,Xt=Ze,Pr=Ze,Nr=0,ir=Ze,bn=0,go=0,mo=0,yo=0,ya=0,Qp=0,Fp=0,xl=0,Tp=0,Fu=0,Tu=0,Rp=0,Np=0,Lp=0,Xr=0,bl=0,Mp=0,bc=0,Op=Ze,Up=Ze,Ru=Ze,Nu=Ze,kc=Ze,qs=0,za=0,Wo=0,kl=0,rf=0,nf=Ze,Lu=Ze,sf=Ze,of=Ze,Gs=Ze,vs=Ze,Ql=0,Tn=Ze,af=Ze,Eo=Ze,Qc=Ze,Co=Ze,Fc=Ze,lf=0,cf=0,Tc=Ze,Ys=Ze,Fl=0,uf=0,Af=0,ff=0,br=Ze,Jn=0,Ds=0,wo=0,Ws=0,Tr=0,ur=0,Tl=0,Jt=Ze,pf=0,li=0;Tl=C,C=C+16|0,qs=Tl+12|0,za=Tl+8|0,Wo=Tl+4|0,kl=Tl,Un(s,(d|0)==0|(_t(l)|0)^1,3326),Un(s,(m|0)==0|(_t(c)|0)^1,3406),Ds=mt(s,f)|0,n[s+496>>2]=Ds,Tr=fr(2,Ds)|0,ur=fr(0,Ds)|0,h[s+440>>2]=y(V(s,Tr,B)),h[s+444>>2]=y(re(s,Tr,B)),h[s+428>>2]=y(V(s,ur,B)),h[s+436>>2]=y(re(s,ur,B)),h[s+464>>2]=y(Cr(s,Tr)),h[s+468>>2]=y(yn(s,Tr)),h[s+452>>2]=y(Cr(s,ur)),h[s+460>>2]=y(yn(s,ur)),h[s+488>>2]=y(oi(s,Tr,B)),h[s+492>>2]=y(Mi(s,Tr,B)),h[s+476>>2]=y(oi(s,ur,B)),h[s+484>>2]=y(Mi(s,ur,B));do if(n[s+964>>2]|0)wg(s,l,c,d,m,B,k);else{if(wo=s+948|0,Ws=(n[s+952>>2]|0)-(n[wo>>2]|0)>>2,!Ws){Gv(s,l,c,d,m,B,k);break}if(!Q&&Yv(s,l,c,d,m,B,k)|0)break;$(s),bl=s+508|0,o[bl>>0]=0,Tr=fr(n[s+4>>2]|0,Ds)|0,ur=Cw(Tr,Ds)|0,Jn=he(Tr)|0,Mp=n[s+8>>2]|0,uf=s+28|0,bc=(n[uf>>2]|0)!=0,Co=Jn?B:k,Tc=Jn?k:B,Op=y(Ep(s,Tr,B)),Up=y(ww(s,Tr,B)),Oe=y(Ep(s,ur,B)),Fc=y(En(s,Tr,B)),Ys=y(En(s,ur,B)),or=Jn?d:m,Fl=Jn?m:d,br=Jn?Fc:Ys,at=Jn?Ys:Fc,Qc=y(ln(s,2,B)),Xe=y(ln(s,0,B)),Fe=y(y(Gr(s+364|0,B))-br),et=y(y(Gr(s+380|0,B))-br),Ue=y(y(Gr(s+372|0,k))-at),qe=y(y(Gr(s+388|0,k))-at),Ru=Jn?Fe:Ue,Nu=Jn?et:qe,Qc=y(l-Qc),l=y(Qc-br),_t(l)|0?br=l:br=y(_n(y(Tg(l,et)),Fe)),af=y(c-Xe),l=y(af-at),_t(l)|0?Eo=l:Eo=y(_n(y(Tg(l,qe)),Ue)),Fe=Jn?br:Eo,Tn=Jn?Eo:br;e:do if((or|0)==1)for(f=0,q=0;;){if(M=gs(s,q)|0,!f)y(rs(M))>y(0)&&y(js(M))>y(0)?f=M:f=0;else if(Tm(M)|0){Ge=0;break e}if(q=q+1|0,q>>>0>=Ws>>>0){Ge=f;break}}else Ge=0;while(0);Lt=Ge+500|0,Or=Ge+504|0,f=0,M=0,l=y(0),se=0;do{if(q=n[(n[wo>>2]|0)+(se<<2)>>2]|0,(n[q+36>>2]|0)==1)Bu(q),o[q+985>>0]=1,o[q+984>>0]=0;else{Bl(q),Q&&yp(q,mt(q,Ds)|0,Fe,Tn,br);do if((n[q+24>>2]|0)!=1)if((q|0)==(Ge|0)){n[Lt>>2]=n[2278],h[Or>>2]=y(0);break}else{Rm(s,q,br,d,Eo,br,Eo,m,Ds,O);break}else M|0&&(n[M+960>>2]=q),n[q+960>>2]=0,M=q,f=(f|0)==0?q:f;while(0);vs=y(h[q+504>>2]),l=y(l+y(vs+y(ln(q,Tr,br))))}se=se+1|0}while((se|0)!=(Ws|0));for(mo=l>Fe,Ql=bc&((or|0)==2&mo)?1:or,bn=(Fl|0)==1,ya=bn&(Q^1),Qp=(Ql|0)==1,Fp=(Ql|0)==2,xl=976+(Tr<<2)|0,Tp=(Fl|2|0)==2,Lp=bn&(bc^1),Fu=1040+(ur<<2)|0,Tu=1040+(Tr<<2)|0,Rp=976+(ur<<2)|0,Np=(Fl|0)!=1,mo=bc&((or|0)!=0&mo),go=s+976|0,bn=bn^1,l=Fe,Nr=0,yo=0,vs=y(0),kc=y(0);;){e:do if(Nr>>>0>>0)for(Or=n[wo>>2]|0,se=0,qe=y(0),Ue=y(0),et=y(0),Fe=y(0),q=0,M=0,Ge=Nr;;){if(Lt=n[Or+(Ge<<2)>>2]|0,(n[Lt+36>>2]|0)!=1&&(n[Lt+940>>2]=yo,(n[Lt+24>>2]|0)!=1)){if(Xe=y(ln(Lt,Tr,br)),Xr=n[xl>>2]|0,c=y(Gr(Lt+380+(Xr<<3)|0,Co)),at=y(h[Lt+504>>2]),c=y(Tg(c,at)),c=y(_n(y(Gr(Lt+364+(Xr<<3)|0,Co)),c)),bc&(se|0)!=0&y(Xe+y(Ue+c))>l){m=se,Xe=qe,or=Ge;break e}Xe=y(Xe+c),c=y(Ue+Xe),Xe=y(qe+Xe),Tm(Lt)|0&&(et=y(et+y(rs(Lt))),Fe=y(Fe-y(at*y(js(Lt))))),M|0&&(n[M+960>>2]=Lt),n[Lt+960>>2]=0,se=se+1|0,M=Lt,q=(q|0)==0?Lt:q}else Xe=qe,c=Ue;if(Ge=Ge+1|0,Ge>>>0>>0)qe=Xe,Ue=c;else{m=se,or=Ge;break}}else m=0,Xe=y(0),et=y(0),Fe=y(0),q=0,or=Nr;while(0);Xr=et>y(0)&ety(0)&FeNu&((_t(Nu)|0)^1))l=Nu,Xr=51;else if(o[(n[go>>2]|0)+3>>0]|0)Xr=51;else{if(Xt!=y(0)&&y(rs(s))!=y(0)){Xr=53;break}l=Xe,Xr=53}while(0);if((Xr|0)==51&&(Xr=0,_t(l)|0?Xr=53:(Pr=y(l-Xe),ir=l)),(Xr|0)==53&&(Xr=0,Xe>2]|0,Ge=Pry(0),Ue=y(Pr/Xt),et=y(0),Xe=y(0),l=y(0),M=q;do c=y(Gr(M+380+(se<<3)|0,Co)),Fe=y(Gr(M+364+(se<<3)|0,Co)),Fe=y(Tg(c,y(_n(Fe,y(h[M+504>>2]))))),Ge?(c=y(Fe*y(js(M))),c!=y(-0)&&(Jt=y(Fe-y(at*c)),nf=y(Bi(M,Tr,Jt,ir,br)),Jt!=nf)&&(et=y(et-y(nf-Fe)),l=y(l+c))):Lt&&(Lu=y(rs(M)),Lu!=y(0))&&(Jt=y(Fe+y(Ue*Lu)),sf=y(Bi(M,Tr,Jt,ir,br)),Jt!=sf)&&(et=y(et-y(sf-Fe)),Xe=y(Xe-Lu)),M=n[M+960>>2]|0;while((M|0)!=0);if(l=y(qe+l),Fe=y(Pr+et),rf)l=y(0);else{at=y(Xt+Xe),Ge=n[xl>>2]|0,Lt=Fey(0),at=y(Fe/at),l=y(0);do{Jt=y(Gr(q+380+(Ge<<3)|0,Co)),et=y(Gr(q+364+(Ge<<3)|0,Co)),et=y(Tg(Jt,y(_n(et,y(h[q+504>>2]))))),Lt?(Jt=y(et*y(js(q))),Fe=y(-Jt),Jt!=y(-0)?(Jt=y(Ue*Fe),Fe=y(Bi(q,Tr,y(et+(Or?Fe:Jt)),ir,br))):Fe=et):se&&(of=y(rs(q)),of!=y(0))?Fe=y(Bi(q,Tr,y(et+y(at*of)),ir,br)):Fe=et,l=y(l-y(Fe-et)),Xe=y(ln(q,Tr,br)),c=y(ln(q,ur,br)),Fe=y(Fe+Xe),h[za>>2]=Fe,n[kl>>2]=1,et=y(h[q+396>>2]);e:do if(_t(et)|0){M=_t(Tn)|0;do if(!M){if(mo|(ts(q,ur,Tn)|0|bn)||(ha(s,q)|0)!=4||(n[(vl(q,ur)|0)+4>>2]|0)==3||(n[(Pc(q,ur)|0)+4>>2]|0)==3)break;h[qs>>2]=Tn,n[Wo>>2]=1;break e}while(0);if(ts(q,ur,Tn)|0){M=n[q+992+(n[Rp>>2]<<2)>>2]|0,Jt=y(c+y(Gr(M,Tn))),h[qs>>2]=Jt,M=Np&(n[M+4>>2]|0)==2,n[Wo>>2]=((_t(Jt)|0|M)^1)&1;break}else{h[qs>>2]=Tn,n[Wo>>2]=M?0:2;break}}else Jt=y(Fe-Xe),Xt=y(Jt/et),Jt=y(et*Jt),n[Wo>>2]=1,h[qs>>2]=y(c+(Jn?Xt:Jt));while(0);yr(q,Tr,ir,br,kl,za),yr(q,ur,Tn,br,Wo,qs);do if(!(ts(q,ur,Tn)|0)&&(ha(s,q)|0)==4){if((n[(vl(q,ur)|0)+4>>2]|0)==3){M=0;break}M=(n[(Pc(q,ur)|0)+4>>2]|0)!=3}else M=0;while(0);Jt=y(h[za>>2]),Xt=y(h[qs>>2]),pf=n[kl>>2]|0,li=n[Wo>>2]|0,fa(q,Jn?Jt:Xt,Jn?Xt:Jt,Ds,Jn?pf:li,Jn?li:pf,br,Eo,Q&(M^1),3488,O)|0,o[bl>>0]=o[bl>>0]|o[q+508>>0],q=n[q+960>>2]|0}while((q|0)!=0)}}else l=y(0);if(l=y(Pr+l),li=l>0]=li|u[bl>>0],Fp&l>y(0)?(M=n[xl>>2]|0,(n[s+364+(M<<3)+4>>2]|0)!=0&&(Gs=y(Gr(s+364+(M<<3)|0,Co)),Gs>=y(0))?Fe=y(_n(y(0),y(Gs-y(ir-l)))):Fe=y(0)):Fe=l,Lt=Nr>>>0>>0,Lt){Ge=n[wo>>2]|0,se=Nr,M=0;do q=n[Ge+(se<<2)>>2]|0,n[q+24>>2]|0||(M=((n[(vl(q,Tr)|0)+4>>2]|0)==3&1)+M|0,M=M+((n[(Pc(q,Tr)|0)+4>>2]|0)==3&1)|0),se=se+1|0;while((se|0)!=(or|0));M?(Xe=y(0),c=y(0)):Xr=101}else Xr=101;e:do if((Xr|0)==101)switch(Xr=0,Mp|0){case 1:{M=0,Xe=y(Fe*y(.5)),c=y(0);break e}case 2:{M=0,Xe=Fe,c=y(0);break e}case 3:{if(m>>>0<=1){M=0,Xe=y(0),c=y(0);break e}c=y((m+-1|0)>>>0),M=0,Xe=y(0),c=y(y(_n(Fe,y(0)))/c);break e}case 5:{c=y(Fe/y((m+1|0)>>>0)),M=0,Xe=c;break e}case 4:{c=y(Fe/y(m>>>0)),M=0,Xe=y(c*y(.5));break e}default:{M=0,Xe=y(0),c=y(0);break e}}while(0);if(l=y(Op+Xe),Lt){et=y(Fe/y(M|0)),se=n[wo>>2]|0,q=Nr,Fe=y(0);do{M=n[se+(q<<2)>>2]|0;e:do if((n[M+36>>2]|0)!=1){switch(n[M+24>>2]|0){case 1:{if(gi(M,Tr)|0){if(!Q)break e;Jt=y(Mr(M,Tr,ir)),Jt=y(Jt+y(Cr(s,Tr))),Jt=y(Jt+y(V(M,Tr,br))),h[M+400+(n[Tu>>2]<<2)>>2]=Jt;break e}break}case 0:if(li=(n[(vl(M,Tr)|0)+4>>2]|0)==3,Jt=y(et+l),l=li?Jt:l,Q&&(li=M+400+(n[Tu>>2]<<2)|0,h[li>>2]=y(l+y(h[li>>2]))),li=(n[(Pc(M,Tr)|0)+4>>2]|0)==3,Jt=y(et+l),l=li?Jt:l,ya){Jt=y(c+y(ln(M,Tr,br))),Fe=Tn,l=y(l+y(Jt+y(h[M+504>>2])));break e}else{l=y(l+y(c+y(ns(M,Tr,br)))),Fe=y(_n(Fe,y(ns(M,ur,br))));break e}default:}Q&&(Jt=y(Xe+y(Cr(s,Tr))),li=M+400+(n[Tu>>2]<<2)|0,h[li>>2]=y(Jt+y(h[li>>2])))}while(0);q=q+1|0}while((q|0)!=(or|0))}else Fe=y(0);if(c=y(Up+l),Tp?Xe=y(y(Bi(s,ur,y(Ys+Fe),Tc,B))-Ys):Xe=Tn,et=y(y(Bi(s,ur,y(Ys+(Lp?Tn:Fe)),Tc,B))-Ys),Lt&Q){q=Nr;do{se=n[(n[wo>>2]|0)+(q<<2)>>2]|0;do if((n[se+36>>2]|0)!=1){if((n[se+24>>2]|0)==1){if(gi(se,ur)|0){if(Jt=y(Mr(se,ur,Tn)),Jt=y(Jt+y(Cr(s,ur))),Jt=y(Jt+y(V(se,ur,br))),M=n[Fu>>2]|0,h[se+400+(M<<2)>>2]=Jt,!(_t(Jt)|0))break}else M=n[Fu>>2]|0;Jt=y(Cr(s,ur)),h[se+400+(M<<2)>>2]=y(Jt+y(V(se,ur,br)));break}M=ha(s,se)|0;do if((M|0)==4){if((n[(vl(se,ur)|0)+4>>2]|0)==3){Xr=139;break}if((n[(Pc(se,ur)|0)+4>>2]|0)==3){Xr=139;break}if(ts(se,ur,Tn)|0){l=Oe;break}pf=n[se+908+(n[xl>>2]<<2)>>2]|0,n[qs>>2]=pf,l=y(h[se+396>>2]),li=_t(l)|0,Fe=(n[v>>2]=pf,y(h[v>>2])),li?l=et:(Pr=y(ln(se,ur,br)),Jt=y(Fe/l),l=y(l*Fe),l=y(Pr+(Jn?Jt:l))),h[za>>2]=l,h[qs>>2]=y(y(ln(se,Tr,br))+Fe),n[Wo>>2]=1,n[kl>>2]=1,yr(se,Tr,ir,br,Wo,qs),yr(se,ur,Tn,br,kl,za),l=y(h[qs>>2]),Pr=y(h[za>>2]),Jt=Jn?l:Pr,l=Jn?Pr:l,li=((_t(Jt)|0)^1)&1,fa(se,Jt,l,Ds,li,((_t(l)|0)^1)&1,br,Eo,1,3493,O)|0,l=Oe}else Xr=139;while(0);e:do if((Xr|0)==139){Xr=0,l=y(Xe-y(ns(se,ur,br)));do if((n[(vl(se,ur)|0)+4>>2]|0)==3){if((n[(Pc(se,ur)|0)+4>>2]|0)!=3)break;l=y(Oe+y(_n(y(0),y(l*y(.5)))));break e}while(0);if((n[(Pc(se,ur)|0)+4>>2]|0)==3){l=Oe;break}if((n[(vl(se,ur)|0)+4>>2]|0)==3){l=y(Oe+y(_n(y(0),l)));break}switch(M|0){case 1:{l=Oe;break e}case 2:{l=y(Oe+y(l*y(.5)));break e}default:{l=y(Oe+l);break e}}}while(0);Jt=y(vs+l),li=se+400+(n[Fu>>2]<<2)|0,h[li>>2]=y(Jt+y(h[li>>2]))}while(0);q=q+1|0}while((q|0)!=(or|0))}if(vs=y(vs+et),kc=y(_n(kc,c)),m=yo+1|0,or>>>0>=Ws>>>0)break;l=ir,Nr=or,yo=m}do if(Q){if(M=m>>>0>1,!M&&!(Yi(s)|0))break;if(!(_t(Tn)|0)){l=y(Tn-vs);e:do switch(n[s+12>>2]|0){case 3:{Oe=y(Oe+l),Ue=y(0);break}case 2:{Oe=y(Oe+y(l*y(.5))),Ue=y(0);break}case 4:{Tn>vs?Ue=y(l/y(m>>>0)):Ue=y(0);break}case 7:if(Tn>vs){Oe=y(Oe+y(l/y(m<<1>>>0))),Ue=y(l/y(m>>>0)),Ue=M?Ue:y(0);break e}else{Oe=y(Oe+y(l*y(.5))),Ue=y(0);break e}case 6:{Ue=y(l/y(yo>>>0)),Ue=Tn>vs&M?Ue:y(0);break}default:Ue=y(0)}while(0);if(m|0)for(Lt=1040+(ur<<2)|0,Or=976+(ur<<2)|0,Ge=0,q=0;;){e:do if(q>>>0>>0)for(Fe=y(0),et=y(0),l=y(0),se=q;;){M=n[(n[wo>>2]|0)+(se<<2)>>2]|0;do if((n[M+36>>2]|0)!=1&&(n[M+24>>2]|0)==0){if((n[M+940>>2]|0)!=(Ge|0))break e;if(Nm(M,ur)|0&&(Jt=y(h[M+908+(n[Or>>2]<<2)>>2]),l=y(_n(l,y(Jt+y(ln(M,ur,br)))))),(ha(s,M)|0)!=5)break;Gs=y(Ya(M)),Gs=y(Gs+y(V(M,0,br))),Jt=y(h[M+912>>2]),Jt=y(y(Jt+y(ln(M,0,br)))-Gs),Gs=y(_n(et,Gs)),Jt=y(_n(Fe,Jt)),Fe=Jt,et=Gs,l=y(_n(l,y(Gs+Jt)))}while(0);if(M=se+1|0,M>>>0>>0)se=M;else{se=M;break}}else et=y(0),l=y(0),se=q;while(0);if(at=y(Ue+l),c=Oe,Oe=y(Oe+at),q>>>0>>0){Xe=y(c+et),M=q;do{q=n[(n[wo>>2]|0)+(M<<2)>>2]|0;e:do if((n[q+36>>2]|0)!=1&&(n[q+24>>2]|0)==0)switch(ha(s,q)|0){case 1:{Jt=y(c+y(V(q,ur,br))),h[q+400+(n[Lt>>2]<<2)>>2]=Jt;break e}case 3:{Jt=y(y(Oe-y(re(q,ur,br)))-y(h[q+908+(n[Or>>2]<<2)>>2])),h[q+400+(n[Lt>>2]<<2)>>2]=Jt;break e}case 2:{Jt=y(c+y(y(at-y(h[q+908+(n[Or>>2]<<2)>>2]))*y(.5))),h[q+400+(n[Lt>>2]<<2)>>2]=Jt;break e}case 4:{if(Jt=y(c+y(V(q,ur,br))),h[q+400+(n[Lt>>2]<<2)>>2]=Jt,ts(q,ur,Tn)|0||(Jn?(Fe=y(h[q+908>>2]),l=y(Fe+y(ln(q,Tr,br))),et=at):(et=y(h[q+912>>2]),et=y(et+y(ln(q,ur,br))),l=at,Fe=y(h[q+908>>2])),Ii(l,Fe)|0&&Ii(et,y(h[q+912>>2]))|0))break e;fa(q,l,et,Ds,1,1,br,Eo,1,3501,O)|0;break e}case 5:{h[q+404>>2]=y(y(Xe-y(Ya(q)))+y(Mr(q,0,Tn)));break e}default:break e}while(0);M=M+1|0}while((M|0)!=(se|0))}if(Ge=Ge+1|0,(Ge|0)==(m|0))break;q=se}}}while(0);if(h[s+908>>2]=y(Bi(s,2,Qc,B,B)),h[s+912>>2]=y(Bi(s,0,af,k,B)),(Ql|0)!=0&&(lf=n[s+32>>2]|0,cf=(Ql|0)==2,!(cf&(lf|0)!=2))?cf&(lf|0)==2&&(l=y(Fc+ir),l=y(_n(y(Tg(l,y(MA(s,Tr,kc,Co)))),Fc)),Xr=198):(l=y(Bi(s,Tr,kc,Co,B)),Xr=198),(Xr|0)==198&&(h[s+908+(n[976+(Tr<<2)>>2]<<2)>>2]=l),(Fl|0)!=0&&(Af=n[s+32>>2]|0,ff=(Fl|0)==2,!(ff&(Af|0)!=2))?ff&(Af|0)==2&&(l=y(Ys+Tn),l=y(_n(y(Tg(l,y(MA(s,ur,y(Ys+vs),Tc)))),Ys)),Xr=204):(l=y(Bi(s,ur,y(Ys+vs),Tc,B)),Xr=204),(Xr|0)==204&&(h[s+908+(n[976+(ur<<2)>>2]<<2)>>2]=l),Q){if((n[uf>>2]|0)==2){q=976+(ur<<2)|0,se=1040+(ur<<2)|0,M=0;do Ge=gs(s,M)|0,n[Ge+24>>2]|0||(pf=n[q>>2]|0,Jt=y(h[s+908+(pf<<2)>>2]),li=Ge+400+(n[se>>2]<<2)|0,Jt=y(Jt-y(h[li>>2])),h[li>>2]=y(Jt-y(h[Ge+908+(pf<<2)>>2]))),M=M+1|0;while((M|0)!=(Ws|0))}if(f|0){M=Jn?Ql:d;do Lm(s,f,br,M,Eo,Ds,O),f=n[f+960>>2]|0;while((f|0)!=0)}if(M=(Tr|2|0)==3,q=(ur|2|0)==3,M|q){f=0;do se=n[(n[wo>>2]|0)+(f<<2)>>2]|0,(n[se+36>>2]|0)!=1&&(M&&Cp(s,se,Tr),q&&Cp(s,se,ur)),f=f+1|0;while((f|0)!=(Ws|0))}}}while(0);C=Tl}function pa(s,l){s=s|0,l=y(l);var c=0;oa(s,l>=y(0),3147),c=l==y(0),h[s+4>>2]=c?y(0):l}function vc(s,l,c,f){s=s|0,l=y(l),c=y(c),f=f|0;var d=Ze,m=Ze,B=0,k=0,Q=0;n[2278]=(n[2278]|0)+1,Bl(s),ts(s,2,l)|0?(d=y(Gr(n[s+992>>2]|0,l)),Q=1,d=y(d+y(ln(s,2,l)))):(d=y(Gr(s+380|0,l)),d>=y(0)?Q=2:(Q=((_t(l)|0)^1)&1,d=l)),ts(s,0,c)|0?(m=y(Gr(n[s+996>>2]|0,c)),k=1,m=y(m+y(ln(s,0,l)))):(m=y(Gr(s+388|0,c)),m>=y(0)?k=2:(k=((_t(c)|0)^1)&1,m=c)),B=s+976|0,fa(s,d,m,f,Q,k,l,c,1,3189,n[B>>2]|0)|0&&(yp(s,n[s+496>>2]|0,l,c,l),Dc(s,y(h[(n[B>>2]|0)+4>>2]),y(0),y(0)),o[11696]|0)&&km(s,7)}function Bl(s){s=s|0;var l=0,c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0;k=C,C=C+32|0,B=k+24|0,m=k+16|0,f=k+8|0,d=k,c=0;do l=s+380+(c<<3)|0,(n[s+380+(c<<3)+4>>2]|0)!=0&&(Q=l,O=n[Q+4>>2]|0,M=f,n[M>>2]=n[Q>>2],n[M+4>>2]=O,M=s+364+(c<<3)|0,O=n[M+4>>2]|0,Q=d,n[Q>>2]=n[M>>2],n[Q+4>>2]=O,n[m>>2]=n[f>>2],n[m+4>>2]=n[f+4>>2],n[B>>2]=n[d>>2],n[B+4>>2]=n[d+4>>2],ws(m,B)|0)||(l=s+348+(c<<3)|0),n[s+992+(c<<2)>>2]=l,c=c+1|0;while((c|0)!=2);C=k}function ts(s,l,c){s=s|0,l=l|0,c=y(c);var f=0;switch(s=n[s+992+(n[976+(l<<2)>>2]<<2)>>2]|0,n[s+4>>2]|0){case 0:case 3:{s=0;break}case 1:{y(h[s>>2])>2])>2]|0){case 2:{l=y(y(y(h[s>>2])*l)/y(100));break}case 1:{l=y(h[s>>2]);break}default:l=y(Ae)}return y(l)}function yp(s,l,c,f,d){s=s|0,l=l|0,c=y(c),f=y(f),d=y(d);var m=0,B=Ze;l=n[s+944>>2]|0?l:1,m=fr(n[s+4>>2]|0,l)|0,l=Cw(m,l)|0,c=y(Mm(s,m,c)),f=y(Mm(s,l,f)),B=y(c+y(V(s,m,d))),h[s+400+(n[1040+(m<<2)>>2]<<2)>>2]=B,c=y(c+y(re(s,m,d))),h[s+400+(n[1e3+(m<<2)>>2]<<2)>>2]=c,c=y(f+y(V(s,l,d))),h[s+400+(n[1040+(l<<2)>>2]<<2)>>2]=c,d=y(f+y(re(s,l,d))),h[s+400+(n[1e3+(l<<2)>>2]<<2)>>2]=d}function Dc(s,l,c,f){s=s|0,l=y(l),c=y(c),f=y(f);var d=0,m=0,B=Ze,k=Ze,Q=0,O=0,M=Ze,q=0,se=Ze,Ge=Ze,Oe=Ze,Fe=Ze;if(l!=y(0)&&(d=s+400|0,Fe=y(h[d>>2]),m=s+404|0,Oe=y(h[m>>2]),q=s+416|0,Ge=y(h[q>>2]),O=s+420|0,B=y(h[O>>2]),se=y(Fe+c),M=y(Oe+f),f=y(se+Ge),k=y(M+B),Q=(n[s+988>>2]|0)==1,h[d>>2]=y(Go(Fe,l,0,Q)),h[m>>2]=y(Go(Oe,l,0,Q)),c=y(kT(y(Ge*l),y(1))),Ii(c,y(0))|0?m=0:m=(Ii(c,y(1))|0)^1,c=y(kT(y(B*l),y(1))),Ii(c,y(0))|0?d=0:d=(Ii(c,y(1))|0)^1,Fe=y(Go(f,l,Q&m,Q&(m^1))),h[q>>2]=y(Fe-y(Go(se,l,0,Q))),Fe=y(Go(k,l,Q&d,Q&(d^1))),h[O>>2]=y(Fe-y(Go(M,l,0,Q))),m=(n[s+952>>2]|0)-(n[s+948>>2]|0)>>2,m|0)){d=0;do Dc(gs(s,d)|0,l,se,M),d=d+1|0;while((d|0)!=(m|0))}}function Ew(s,l,c,f,d){switch(s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,c|0){case 5:case 0:{s=a7(n[489]|0,f,d)|0;break}default:s=t3e(f,d)|0}return s|0}function yg(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;d=C,C=C+16|0,m=d,n[m>>2]=f,Eg(s,0,l,c,m),C=d}function Eg(s,l,c,f,d){if(s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,s=s|0?s:956,x7[n[s+8>>2]&1](s,l,c,f,d)|0,(c|0)==5)Tt();else return}function Ga(s,l,c){s=s|0,l=l|0,c=c|0,o[s+l>>0]=c&1}function Fm(s,l){s=s|0,l=l|0;var c=0,f=0;n[s>>2]=0,n[s+4>>2]=0,n[s+8>>2]=0,c=l+4|0,f=(n[c>>2]|0)-(n[l>>2]|0)>>2,f|0&&(Cg(s,f),Qt(s,n[l>>2]|0,n[c>>2]|0,f))}function Cg(s,l){s=s|0,l=l|0;var c=0;if((N(s)|0)>>>0>>0&&zr(s),l>>>0>1073741823)Tt();else{c=Vt(l<<2)|0,n[s+4>>2]=c,n[s>>2]=c,n[s+8>>2]=c+(l<<2);return}}function Qt(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,f=s+4|0,s=c-l|0,(s|0)>0&&(Dr(n[f>>2]|0,l|0,s|0)|0,n[f>>2]=(n[f>>2]|0)+(s>>>2<<2))}function N(s){return s=s|0,1073741823}function V(s,l,c){return s=s|0,l=l|0,c=y(c),he(l)|0&&(n[s+96>>2]|0)!=0?s=s+92|0:s=Fn(s+60|0,n[1040+(l<<2)>>2]|0,992)|0,y(ze(s,c))}function re(s,l,c){return s=s|0,l=l|0,c=y(c),he(l)|0&&(n[s+104>>2]|0)!=0?s=s+100|0:s=Fn(s+60|0,n[1e3+(l<<2)>>2]|0,992)|0,y(ze(s,c))}function he(s){return s=s|0,(s|1|0)==3|0}function ze(s,l){return s=s|0,l=y(l),(n[s+4>>2]|0)==3?l=y(0):l=y(Gr(s,l)),y(l)}function mt(s,l){return s=s|0,l=l|0,s=n[s>>2]|0,((s|0)==0?(l|0)>1?l:1:s)|0}function fr(s,l){s=s|0,l=l|0;var c=0;e:do if((l|0)==2){switch(s|0){case 2:{s=3;break e}case 3:break;default:{c=4;break e}}s=2}else c=4;while(0);return s|0}function Cr(s,l){s=s|0,l=l|0;var c=Ze;return he(l)|0&&(n[s+312>>2]|0)!=0&&(c=y(h[s+308>>2]),c>=y(0))||(c=y(_n(y(h[(Fn(s+276|0,n[1040+(l<<2)>>2]|0,992)|0)>>2]),y(0)))),y(c)}function yn(s,l){s=s|0,l=l|0;var c=Ze;return he(l)|0&&(n[s+320>>2]|0)!=0&&(c=y(h[s+316>>2]),c>=y(0))||(c=y(_n(y(h[(Fn(s+276|0,n[1e3+(l<<2)>>2]|0,992)|0)>>2]),y(0)))),y(c)}function oi(s,l,c){s=s|0,l=l|0,c=y(c);var f=Ze;return he(l)|0&&(n[s+240>>2]|0)!=0&&(f=y(Gr(s+236|0,c)),f>=y(0))||(f=y(_n(y(Gr(Fn(s+204|0,n[1040+(l<<2)>>2]|0,992)|0,c)),y(0)))),y(f)}function Mi(s,l,c){s=s|0,l=l|0,c=y(c);var f=Ze;return he(l)|0&&(n[s+248>>2]|0)!=0&&(f=y(Gr(s+244|0,c)),f>=y(0))||(f=y(_n(y(Gr(Fn(s+204|0,n[1e3+(l<<2)>>2]|0,992)|0,c)),y(0)))),y(f)}function wg(s,l,c,f,d,m,B){s=s|0,l=y(l),c=y(c),f=f|0,d=d|0,m=y(m),B=y(B);var k=Ze,Q=Ze,O=Ze,M=Ze,q=Ze,se=Ze,Ge=0,Oe=0,Fe=0;Fe=C,C=C+16|0,Ge=Fe,Oe=s+964|0,Un(s,(n[Oe>>2]|0)!=0,3519),k=y(En(s,2,l)),Q=y(En(s,0,l)),O=y(ln(s,2,l)),M=y(ln(s,0,l)),_t(l)|0?q=l:q=y(_n(y(0),y(y(l-O)-k))),_t(c)|0?se=c:se=y(_n(y(0),y(y(c-M)-Q))),(f|0)==1&(d|0)==1?(h[s+908>>2]=y(Bi(s,2,y(l-O),m,m)),l=y(Bi(s,0,y(c-M),B,m))):(b7[n[Oe>>2]&1](Ge,s,q,f,se,d),q=y(k+y(h[Ge>>2])),se=y(l-O),h[s+908>>2]=y(Bi(s,2,(f|2|0)==2?q:se,m,m)),se=y(Q+y(h[Ge+4>>2])),l=y(c-M),l=y(Bi(s,0,(d|2|0)==2?se:l,B,m))),h[s+912>>2]=l,C=Fe}function Gv(s,l,c,f,d,m,B){s=s|0,l=y(l),c=y(c),f=f|0,d=d|0,m=y(m),B=y(B);var k=Ze,Q=Ze,O=Ze,M=Ze;O=y(En(s,2,m)),k=y(En(s,0,m)),M=y(ln(s,2,m)),Q=y(ln(s,0,m)),l=y(l-M),h[s+908>>2]=y(Bi(s,2,(f|2|0)==2?O:l,m,m)),c=y(c-Q),h[s+912>>2]=y(Bi(s,0,(d|2|0)==2?k:c,B,m))}function Yv(s,l,c,f,d,m,B){s=s|0,l=y(l),c=y(c),f=f|0,d=d|0,m=y(m),B=y(B);var k=0,Q=Ze,O=Ze;return k=(f|0)==2,!(l<=y(0)&k)&&!(c<=y(0)&(d|0)==2)&&!((f|0)==1&(d|0)==1)?s=0:(Q=y(ln(s,0,m)),O=y(ln(s,2,m)),k=l>2]=y(Bi(s,2,k?y(0):l,m,m)),l=y(c-Q),k=c>2]=y(Bi(s,0,k?y(0):l,B,m)),s=1),s|0}function Cw(s,l){return s=s|0,l=l|0,OA(s)|0?s=fr(2,l)|0:s=0,s|0}function Ep(s,l,c){return s=s|0,l=l|0,c=y(c),c=y(oi(s,l,c)),y(c+y(Cr(s,l)))}function ww(s,l,c){return s=s|0,l=l|0,c=y(c),c=y(Mi(s,l,c)),y(c+y(yn(s,l)))}function En(s,l,c){s=s|0,l=l|0,c=y(c);var f=Ze;return f=y(Ep(s,l,c)),y(f+y(ww(s,l,c)))}function Tm(s){return s=s|0,n[s+24>>2]|0?s=0:y(rs(s))!=y(0)?s=1:s=y(js(s))!=y(0),s|0}function rs(s){s=s|0;var l=Ze;if(n[s+944>>2]|0){if(l=y(h[s+44>>2]),_t(l)|0)return l=y(h[s+40>>2]),s=l>y(0)&((_t(l)|0)^1),y(s?l:y(0))}else l=y(0);return y(l)}function js(s){s=s|0;var l=Ze,c=0,f=Ze;do if(n[s+944>>2]|0){if(l=y(h[s+48>>2]),_t(l)|0){if(c=o[(n[s+976>>2]|0)+2>>0]|0,c<<24>>24==0&&(f=y(h[s+40>>2]),f>24?y(1):y(0)}}else l=y(0);while(0);return y(l)}function Bu(s){s=s|0;var l=0,c=0;if(zm(s+400|0,0,540)|0,o[s+985>>0]=1,$(s),c=wi(s)|0,c|0){l=s+948|0,s=0;do Bu(n[(n[l>>2]|0)+(s<<2)>>2]|0),s=s+1|0;while((s|0)!=(c|0))}}function Rm(s,l,c,f,d,m,B,k,Q,O){s=s|0,l=l|0,c=y(c),f=f|0,d=y(d),m=y(m),B=y(B),k=k|0,Q=Q|0,O=O|0;var M=0,q=Ze,se=0,Ge=0,Oe=Ze,Fe=Ze,et=0,Xe=Ze,at=0,Ue=Ze,qe=0,Lt=0,Or=0,or=0,Xt=0,Pr=0,Nr=0,ir=0,bn=0,go=0;bn=C,C=C+16|0,Or=bn+12|0,or=bn+8|0,Xt=bn+4|0,Pr=bn,ir=fr(n[s+4>>2]|0,Q)|0,qe=he(ir)|0,q=y(Gr(Iw(l)|0,qe?m:B)),Lt=ts(l,2,m)|0,Nr=ts(l,0,B)|0;do if(!(_t(q)|0)&&!(_t(qe?c:d)|0)){if(M=l+504|0,!(_t(y(h[M>>2]))|0)&&(!(Bw(n[l+976>>2]|0,0)|0)||(n[l+500>>2]|0)==(n[2278]|0)))break;h[M>>2]=y(_n(q,y(En(l,ir,m))))}else se=7;while(0);do if((se|0)==7){if(at=qe^1,!(at|Lt^1)){B=y(Gr(n[l+992>>2]|0,m)),h[l+504>>2]=y(_n(B,y(En(l,2,m))));break}if(!(qe|Nr^1)){B=y(Gr(n[l+996>>2]|0,B)),h[l+504>>2]=y(_n(B,y(En(l,0,m))));break}h[Or>>2]=y(Ae),h[or>>2]=y(Ae),n[Xt>>2]=0,n[Pr>>2]=0,Xe=y(ln(l,2,m)),Ue=y(ln(l,0,m)),Lt?(Oe=y(Xe+y(Gr(n[l+992>>2]|0,m))),h[Or>>2]=Oe,n[Xt>>2]=1,Ge=1):(Ge=0,Oe=y(Ae)),Nr?(q=y(Ue+y(Gr(n[l+996>>2]|0,B))),h[or>>2]=q,n[Pr>>2]=1,M=1):(M=0,q=y(Ae)),se=n[s+32>>2]|0,qe&(se|0)==2?se=2:_t(Oe)|0&&!(_t(c)|0)&&(h[Or>>2]=c,n[Xt>>2]=2,Ge=2,Oe=c),!((se|0)==2&at)&&_t(q)|0&&!(_t(d)|0)&&(h[or>>2]=d,n[Pr>>2]=2,M=2,q=d),Fe=y(h[l+396>>2]),et=_t(Fe)|0;do if(et)se=Ge;else{if((Ge|0)==1&at){h[or>>2]=y(y(Oe-Xe)/Fe),n[Pr>>2]=1,M=1,se=1;break}qe&(M|0)==1?(h[Or>>2]=y(Fe*y(q-Ue)),n[Xt>>2]=1,M=1,se=1):se=Ge}while(0);go=_t(c)|0,Ge=(ha(s,l)|0)!=4,!(qe|Lt|((f|0)!=1|go)|(Ge|(se|0)==1))&&(h[Or>>2]=c,n[Xt>>2]=1,!et)&&(h[or>>2]=y(y(c-Xe)/Fe),n[Pr>>2]=1,M=1),!(Nr|at|((k|0)!=1|(_t(d)|0))|(Ge|(M|0)==1))&&(h[or>>2]=d,n[Pr>>2]=1,!et)&&(h[Or>>2]=y(Fe*y(d-Ue)),n[Xt>>2]=1),yr(l,2,m,m,Xt,Or),yr(l,0,B,m,Pr,or),c=y(h[Or>>2]),d=y(h[or>>2]),fa(l,c,d,Q,n[Xt>>2]|0,n[Pr>>2]|0,m,B,0,3565,O)|0,B=y(h[l+908+(n[976+(ir<<2)>>2]<<2)>>2]),h[l+504>>2]=y(_n(B,y(En(l,ir,m))))}while(0);n[l+500>>2]=n[2278],C=bn}function Bi(s,l,c,f,d){return s=s|0,l=l|0,c=y(c),f=y(f),d=y(d),f=y(MA(s,l,c,f)),y(_n(f,y(En(s,l,d))))}function ha(s,l){return s=s|0,l=l|0,l=l+20|0,l=n[((n[l>>2]|0)==0?s+16|0:l)>>2]|0,(l|0)==5&&OA(n[s+4>>2]|0)|0&&(l=1),l|0}function vl(s,l){return s=s|0,l=l|0,he(l)|0&&(n[s+96>>2]|0)!=0?l=4:l=n[1040+(l<<2)>>2]|0,s+60+(l<<3)|0}function Pc(s,l){return s=s|0,l=l|0,he(l)|0&&(n[s+104>>2]|0)!=0?l=5:l=n[1e3+(l<<2)>>2]|0,s+60+(l<<3)|0}function yr(s,l,c,f,d,m){switch(s=s|0,l=l|0,c=y(c),f=y(f),d=d|0,m=m|0,c=y(Gr(s+380+(n[976+(l<<2)>>2]<<3)|0,c)),c=y(c+y(ln(s,l,f))),n[d>>2]|0){case 2:case 1:{d=_t(c)|0,f=y(h[m>>2]),h[m>>2]=d|f>2]=2,h[m>>2]=c);break}default:}}function gi(s,l){return s=s|0,l=l|0,s=s+132|0,he(l)|0&&(n[(Fn(s,4,948)|0)+4>>2]|0)!=0?s=1:s=(n[(Fn(s,n[1040+(l<<2)>>2]|0,948)|0)+4>>2]|0)!=0,s|0}function Mr(s,l,c){s=s|0,l=l|0,c=y(c);var f=0,d=0;return s=s+132|0,he(l)|0&&(f=Fn(s,4,948)|0,(n[f+4>>2]|0)!=0)?d=4:(f=Fn(s,n[1040+(l<<2)>>2]|0,948)|0,n[f+4>>2]|0?d=4:c=y(0)),(d|0)==4&&(c=y(Gr(f,c))),y(c)}function ns(s,l,c){s=s|0,l=l|0,c=y(c);var f=Ze;return f=y(h[s+908+(n[976+(l<<2)>>2]<<2)>>2]),f=y(f+y(V(s,l,c))),y(f+y(re(s,l,c)))}function Yi(s){s=s|0;var l=0,c=0,f=0;e:do if(OA(n[s+4>>2]|0)|0)l=0;else if((n[s+16>>2]|0)!=5)if(c=wi(s)|0,!c)l=0;else for(l=0;;){if(f=gs(s,l)|0,(n[f+24>>2]|0)==0&&(n[f+20>>2]|0)==5){l=1;break e}if(l=l+1|0,l>>>0>=c>>>0){l=0;break}}else l=1;while(0);return l|0}function Nm(s,l){s=s|0,l=l|0;var c=Ze;return c=y(h[s+908+(n[976+(l<<2)>>2]<<2)>>2]),c>=y(0)&((_t(c)|0)^1)|0}function Ya(s){s=s|0;var l=Ze,c=0,f=0,d=0,m=0,B=0,k=0,Q=Ze;if(c=n[s+968>>2]|0,c)Q=y(h[s+908>>2]),l=y(h[s+912>>2]),l=y(v7[c&0](s,Q,l)),Un(s,(_t(l)|0)^1,3573);else{m=wi(s)|0;do if(m|0){for(c=0,d=0;;){if(f=gs(s,d)|0,n[f+940>>2]|0){B=8;break}if((n[f+24>>2]|0)!=1)if(k=(ha(s,f)|0)==5,k){c=f;break}else c=(c|0)==0?f:c;if(d=d+1|0,d>>>0>=m>>>0){B=8;break}}if((B|0)==8&&!c)break;return l=y(Ya(c)),y(l+y(h[c+404>>2]))}while(0);l=y(h[s+912>>2])}return y(l)}function MA(s,l,c,f){s=s|0,l=l|0,c=y(c),f=y(f);var d=Ze,m=0;return OA(l)|0?(l=1,m=3):he(l)|0?(l=0,m=3):(f=y(Ae),d=y(Ae)),(m|0)==3&&(d=y(Gr(s+364+(l<<3)|0,f)),f=y(Gr(s+380+(l<<3)|0,f))),m=f=y(0)&((_t(f)|0)^1)),c=m?f:c,m=d>=y(0)&((_t(d)|0)^1)&c>2]|0,m)|0,Oe=Cw(et,m)|0,Fe=he(et)|0,q=y(ln(l,2,c)),se=y(ln(l,0,c)),ts(l,2,c)|0?k=y(q+y(Gr(n[l+992>>2]|0,c))):gi(l,2)|0&&sr(l,2)|0?(k=y(h[s+908>>2]),Q=y(Cr(s,2)),Q=y(k-y(Q+y(yn(s,2)))),k=y(Mr(l,2,c)),k=y(Bi(l,2,y(Q-y(k+y(vu(l,2,c)))),c,c))):k=y(Ae),ts(l,0,d)|0?Q=y(se+y(Gr(n[l+996>>2]|0,d))):gi(l,0)|0&&sr(l,0)|0?(Q=y(h[s+912>>2]),at=y(Cr(s,0)),at=y(Q-y(at+y(yn(s,0)))),Q=y(Mr(l,0,d)),Q=y(Bi(l,0,y(at-y(Q+y(vu(l,0,d)))),d,c))):Q=y(Ae),O=_t(k)|0,M=_t(Q)|0;do if(O^M&&(Ge=y(h[l+396>>2]),!(_t(Ge)|0)))if(O){k=y(q+y(y(Q-se)*Ge));break}else{at=y(se+y(y(k-q)/Ge)),Q=M?at:Q;break}while(0);M=_t(k)|0,O=_t(Q)|0,M|O&&(Ue=(M^1)&1,f=c>y(0)&((f|0)!=0&M),k=Fe?k:f?c:k,fa(l,k,Q,m,Fe?Ue:f?2:Ue,M&(O^1)&1,k,Q,0,3623,B)|0,k=y(h[l+908>>2]),k=y(k+y(ln(l,2,c))),Q=y(h[l+912>>2]),Q=y(Q+y(ln(l,0,c)))),fa(l,k,Q,m,1,1,k,Q,1,3635,B)|0,sr(l,et)|0&&!(gi(l,et)|0)?(Ue=n[976+(et<<2)>>2]|0,at=y(h[s+908+(Ue<<2)>>2]),at=y(at-y(h[l+908+(Ue<<2)>>2])),at=y(at-y(yn(s,et))),at=y(at-y(re(l,et,c))),at=y(at-y(vu(l,et,Fe?c:d))),h[l+400+(n[1040+(et<<2)>>2]<<2)>>2]=at):Xe=21;do if((Xe|0)==21){if(!(gi(l,et)|0)&&(n[s+8>>2]|0)==1){Ue=n[976+(et<<2)>>2]|0,at=y(h[s+908+(Ue<<2)>>2]),at=y(y(at-y(h[l+908+(Ue<<2)>>2]))*y(.5)),h[l+400+(n[1040+(et<<2)>>2]<<2)>>2]=at;break}!(gi(l,et)|0)&&(n[s+8>>2]|0)==2&&(Ue=n[976+(et<<2)>>2]|0,at=y(h[s+908+(Ue<<2)>>2]),at=y(at-y(h[l+908+(Ue<<2)>>2])),h[l+400+(n[1040+(et<<2)>>2]<<2)>>2]=at)}while(0);sr(l,Oe)|0&&!(gi(l,Oe)|0)?(Ue=n[976+(Oe<<2)>>2]|0,at=y(h[s+908+(Ue<<2)>>2]),at=y(at-y(h[l+908+(Ue<<2)>>2])),at=y(at-y(yn(s,Oe))),at=y(at-y(re(l,Oe,c))),at=y(at-y(vu(l,Oe,Fe?d:c))),h[l+400+(n[1040+(Oe<<2)>>2]<<2)>>2]=at):Xe=30;do if((Xe|0)==30&&!(gi(l,Oe)|0)){if((ha(s,l)|0)==2){Ue=n[976+(Oe<<2)>>2]|0,at=y(h[s+908+(Ue<<2)>>2]),at=y(y(at-y(h[l+908+(Ue<<2)>>2]))*y(.5)),h[l+400+(n[1040+(Oe<<2)>>2]<<2)>>2]=at;break}Ue=(ha(s,l)|0)==3,Ue^(n[s+28>>2]|0)==2&&(Ue=n[976+(Oe<<2)>>2]|0,at=y(h[s+908+(Ue<<2)>>2]),at=y(at-y(h[l+908+(Ue<<2)>>2])),h[l+400+(n[1040+(Oe<<2)>>2]<<2)>>2]=at)}while(0)}function Cp(s,l,c){s=s|0,l=l|0,c=c|0;var f=Ze,d=0;d=n[976+(c<<2)>>2]|0,f=y(h[l+908+(d<<2)>>2]),f=y(y(h[s+908+(d<<2)>>2])-f),f=y(f-y(h[l+400+(n[1040+(c<<2)>>2]<<2)>>2])),h[l+400+(n[1e3+(c<<2)>>2]<<2)>>2]=f}function OA(s){return s=s|0,(s|1|0)==1|0}function Iw(s){s=s|0;var l=Ze;switch(n[s+56>>2]|0){case 0:case 3:{l=y(h[s+40>>2]),l>y(0)&((_t(l)|0)^1)?s=o[(n[s+976>>2]|0)+2>>0]|0?1056:992:s=1056;break}default:s=s+52|0}return s|0}function Bw(s,l){return s=s|0,l=l|0,(o[s+l>>0]|0)!=0|0}function sr(s,l){return s=s|0,l=l|0,s=s+132|0,he(l)|0&&(n[(Fn(s,5,948)|0)+4>>2]|0)!=0?s=1:s=(n[(Fn(s,n[1e3+(l<<2)>>2]|0,948)|0)+4>>2]|0)!=0,s|0}function vu(s,l,c){s=s|0,l=l|0,c=y(c);var f=0,d=0;return s=s+132|0,he(l)|0&&(f=Fn(s,5,948)|0,(n[f+4>>2]|0)!=0)?d=4:(f=Fn(s,n[1e3+(l<<2)>>2]|0,948)|0,n[f+4>>2]|0?d=4:c=y(0)),(d|0)==4&&(c=y(Gr(f,c))),y(c)}function Mm(s,l,c){return s=s|0,l=l|0,c=y(c),gi(s,l)|0?c=y(Mr(s,l,c)):c=y(-y(vu(s,l,c))),y(c)}function Du(s){return s=y(s),h[v>>2]=s,n[v>>2]|0|0}function wp(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>1073741823)Tt();else{d=Vt(l<<2)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<2)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<2)}function Ig(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>2)<<2)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function UA(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-4-l|0)>>>2)<<2)),s=n[s>>2]|0,s|0&>(s)}function _A(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0;if(B=s+4|0,k=n[B>>2]|0,d=k-f|0,m=d>>2,s=l+(m<<2)|0,s>>>0>>0){f=k;do n[f>>2]=n[s>>2],s=s+4|0,f=(n[B>>2]|0)+4|0,n[B>>2]=f;while(s>>>0>>0)}m|0&&Mw(k+(0-m<<2)|0,l|0,d|0)|0}function Bg(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0;return k=l+4|0,Q=n[k>>2]|0,d=n[s>>2]|0,B=c,m=B-d|0,f=Q+(0-(m>>2)<<2)|0,n[k>>2]=f,(m|0)>0&&Dr(f|0,d|0,m|0)|0,d=s+4|0,m=l+8|0,f=(n[d>>2]|0)-B|0,(f|0)>0&&(Dr(n[m>>2]|0,c|0,f|0)|0,n[m>>2]=(n[m>>2]|0)+(f>>>2<<2)),B=n[s>>2]|0,n[s>>2]=n[k>>2],n[k>>2]=B,B=n[d>>2]|0,n[d>>2]=n[m>>2],n[m>>2]=B,B=s+8|0,c=l+12|0,s=n[B>>2]|0,n[B>>2]=n[c>>2],n[c>>2]=s,n[l>>2]=n[k>>2],Q|0}function vw(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;if(B=n[l>>2]|0,m=n[c>>2]|0,(B|0)!=(m|0)){d=s+8|0,c=((m+-4-B|0)>>>2)+1|0,s=B,f=n[d>>2]|0;do n[f>>2]=n[s>>2],f=(n[d>>2]|0)+4|0,n[d>>2]=f,s=s+4|0;while((s|0)!=(m|0));n[l>>2]=B+(c<<2)}}function Om(){dc()}function ga(){var s=0;return s=Vt(4)|0,HA(s),s|0}function HA(s){s=s|0,n[s>>2]=ys()|0}function Sc(s){s=s|0,s|0&&(vg(s),gt(s))}function vg(s){s=s|0,tt(n[s>>2]|0)}function Um(s,l,c){s=s|0,l=l|0,c=c|0,Ga(n[s>>2]|0,l,c)}function fo(s,l){s=s|0,l=y(l),pa(n[s>>2]|0,l)}function Wv(s,l){return s=s|0,l=l|0,Bw(n[s>>2]|0,l)|0}function Dw(){var s=0;return s=Vt(8)|0,Vv(s,0),s|0}function Vv(s,l){s=s|0,l=l|0,l?l=Ci(n[l>>2]|0)|0:l=co()|0,n[s>>2]=l,n[s+4>>2]=0,xi(l,s)}function pF(s){s=s|0;var l=0;return l=Vt(8)|0,Vv(l,s),l|0}function Kv(s){s=s|0,s|0&&(Pu(s),gt(s))}function Pu(s){s=s|0;var l=0;la(n[s>>2]|0),l=s+4|0,s=n[l>>2]|0,n[l>>2]=0,s|0&&(jA(s),gt(s))}function jA(s){s=s|0,qA(s)}function qA(s){s=s|0,s=n[s>>2]|0,s|0&&PA(s|0)}function Pw(s){return s=s|0,jo(s)|0}function _m(s){s=s|0;var l=0,c=0;c=s+4|0,l=n[c>>2]|0,n[c>>2]=0,l|0&&(jA(l),gt(l)),_s(n[s>>2]|0)}function hF(s,l){s=s|0,l=l|0,Zr(n[s>>2]|0,n[l>>2]|0)}function gF(s,l){s=s|0,l=l|0,ca(n[s>>2]|0,l)}function Jv(s,l,c){s=s|0,l=l|0,c=+c,yu(n[s>>2]|0,l,y(c))}function zv(s,l,c){s=s|0,l=l|0,c=+c,Es(n[s>>2]|0,l,y(c))}function Sw(s,l){s=s|0,l=l|0,gu(n[s>>2]|0,l)}function Su(s,l){s=s|0,l=l|0,du(n[s>>2]|0,l)}function dF(s,l){s=s|0,l=l|0,QA(n[s>>2]|0,l)}function mF(s,l){s=s|0,l=l|0,bA(n[s>>2]|0,l)}function Ip(s,l){s=s|0,l=l|0,yc(n[s>>2]|0,l)}function yF(s,l){s=s|0,l=l|0,up(n[s>>2]|0,l)}function Xv(s,l,c){s=s|0,l=l|0,c=+c,Cc(n[s>>2]|0,l,y(c))}function GA(s,l,c){s=s|0,l=l|0,c=+c,G(n[s>>2]|0,l,y(c))}function EF(s,l){s=s|0,l=l|0,wl(n[s>>2]|0,l)}function CF(s,l){s=s|0,l=l|0,og(n[s>>2]|0,l)}function Zv(s,l){s=s|0,l=l|0,Ap(n[s>>2]|0,l)}function xw(s,l){s=s|0,l=+l,FA(n[s>>2]|0,y(l))}function bw(s,l){s=s|0,l=+l,Ha(n[s>>2]|0,y(l))}function wF(s,l){s=s|0,l=+l,Gi(n[s>>2]|0,y(l))}function IF(s,l){s=s|0,l=+l,Hs(n[s>>2]|0,y(l))}function Dl(s,l){s=s|0,l=+l,mu(n[s>>2]|0,y(l))}function kw(s,l){s=s|0,l=+l,mw(n[s>>2]|0,y(l))}function BF(s,l){s=s|0,l=+l,TA(n[s>>2]|0,y(l))}function YA(s){s=s|0,fp(n[s>>2]|0)}function Hm(s,l){s=s|0,l=+l,Cs(n[s>>2]|0,y(l))}function xu(s,l){s=s|0,l=+l,cg(n[s>>2]|0,y(l))}function Qw(s){s=s|0,ug(n[s>>2]|0)}function Fw(s,l){s=s|0,l=+l,pp(n[s>>2]|0,y(l))}function vF(s,l){s=s|0,l=+l,Ic(n[s>>2]|0,y(l))}function $v(s,l){s=s|0,l=+l,Sm(n[s>>2]|0,y(l))}function WA(s,l){s=s|0,l=+l,fg(n[s>>2]|0,y(l))}function eD(s,l){s=s|0,l=+l,Cu(n[s>>2]|0,y(l))}function jm(s,l){s=s|0,l=+l,xm(n[s>>2]|0,y(l))}function tD(s,l){s=s|0,l=+l,wu(n[s>>2]|0,y(l))}function rD(s,l){s=s|0,l=+l,yw(n[s>>2]|0,y(l))}function qm(s,l){s=s|0,l=+l,Aa(n[s>>2]|0,y(l))}function nD(s,l,c){s=s|0,l=l|0,c=+c,Eu(n[s>>2]|0,l,y(c))}function DF(s,l,c){s=s|0,l=l|0,c=+c,bi(n[s>>2]|0,l,y(c))}function P(s,l,c){s=s|0,l=l|0,c=+c,wc(n[s>>2]|0,l,y(c))}function D(s){return s=s|0,sg(n[s>>2]|0)|0}function R(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0;f=C,C=C+16|0,d=f,Ec(d,n[l>>2]|0,c),j(s,d),C=f}function j(s,l){s=s|0,l=l|0,Y(s,n[l+4>>2]|0,+y(h[l>>2]))}function Y(s,l,c){s=s|0,l=l|0,c=+c,n[s>>2]=l,E[s+8>>3]=c}function fe(s){return s=s|0,ig(n[s>>2]|0)|0}function ve(s){return s=s|0,uo(n[s>>2]|0)|0}function vt(s){return s=s|0,mc(n[s>>2]|0)|0}function wt(s){return s=s|0,kA(n[s>>2]|0)|0}function bt(s){return s=s|0,Pm(n[s>>2]|0)|0}function _r(s){return s=s|0,ng(n[s>>2]|0)|0}function is(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0;f=C,C=C+16|0,d=f,Dt(d,n[l>>2]|0,c),j(s,d),C=f}function di(s){return s=s|0,$n(n[s>>2]|0)|0}function po(s){return s=s|0,ag(n[s>>2]|0)|0}function VA(s,l){s=s|0,l=l|0;var c=0,f=0;c=C,C=C+16|0,f=c,ua(f,n[l>>2]|0),j(s,f),C=c}function Yo(s){return s=s|0,+ +y(qi(n[s>>2]|0))}function rt(s){return s=s|0,+ +y(es(n[s>>2]|0))}function Ke(s,l){s=s|0,l=l|0;var c=0,f=0;c=C,C=C+16|0,f=c,Br(f,n[l>>2]|0),j(s,f),C=c}function At(s,l){s=s|0,l=l|0;var c=0,f=0;c=C,C=C+16|0,f=c,Ag(f,n[l>>2]|0),j(s,f),C=c}function Wt(s,l){s=s|0,l=l|0;var c=0,f=0;c=C,C=C+16|0,f=c,Ct(f,n[l>>2]|0),j(s,f),C=c}function vr(s,l){s=s|0,l=l|0;var c=0,f=0;c=C,C=C+16|0,f=c,pg(f,n[l>>2]|0),j(s,f),C=c}function Sn(s,l){s=s|0,l=l|0;var c=0,f=0;c=C,C=C+16|0,f=c,hg(f,n[l>>2]|0),j(s,f),C=c}function Fr(s,l){s=s|0,l=l|0;var c=0,f=0;c=C,C=C+16|0,f=c,bm(f,n[l>>2]|0),j(s,f),C=c}function xn(s){return s=s|0,+ +y(Bc(n[s>>2]|0))}function ai(s,l){return s=s|0,l=l|0,+ +y(lg(n[s>>2]|0,l))}function en(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0;f=C,C=C+16|0,d=f,ct(d,n[l>>2]|0,c),j(s,d),C=f}function ho(s,l,c){s=s|0,l=l|0,c=c|0,nr(n[s>>2]|0,n[l>>2]|0,c)}function PF(s,l){s=s|0,l=l|0,ms(n[s>>2]|0,n[l>>2]|0)}function sve(s){return s=s|0,wi(n[s>>2]|0)|0}function ove(s){return s=s|0,s=pt(n[s>>2]|0)|0,s?s=Pw(s)|0:s=0,s|0}function ave(s,l){return s=s|0,l=l|0,s=gs(n[s>>2]|0,l)|0,s?s=Pw(s)|0:s=0,s|0}function lve(s,l){s=s|0,l=l|0;var c=0,f=0;f=Vt(4)|0,$G(f,l),c=s+4|0,l=n[c>>2]|0,n[c>>2]=f,l|0&&(jA(l),gt(l)),It(n[s>>2]|0,1)}function $G(s,l){s=s|0,l=l|0,Cve(s,l)}function cve(s,l,c,f,d,m){s=s|0,l=l|0,c=y(c),f=f|0,d=y(d),m=m|0;var B=0,k=0;B=C,C=C+16|0,k=B,uve(k,jo(l)|0,+c,f,+d,m),h[s>>2]=y(+E[k>>3]),h[s+4>>2]=y(+E[k+8>>3]),C=B}function uve(s,l,c,f,d,m){s=s|0,l=l|0,c=+c,f=f|0,d=+d,m=m|0;var B=0,k=0,Q=0,O=0,M=0;B=C,C=C+32|0,M=B+8|0,O=B+20|0,Q=B,k=B+16|0,E[M>>3]=c,n[O>>2]=f,E[Q>>3]=d,n[k>>2]=m,Ave(s,n[l+4>>2]|0,M,O,Q,k),C=B}function Ave(s,l,c,f,d,m){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0;var B=0,k=0;B=C,C=C+16|0,k=B,Va(k),l=da(l)|0,fve(s,l,+E[c>>3],n[f>>2]|0,+E[d>>3],n[m>>2]|0),Ka(k),C=B}function da(s){return s=s|0,n[s>>2]|0}function fve(s,l,c,f,d,m){s=s|0,l=l|0,c=+c,f=f|0,d=+d,m=m|0;var B=0;B=Pl(pve()|0)|0,c=+KA(c),f=SF(f)|0,d=+KA(d),hve(s,hi(0,B|0,l|0,+c,f|0,+d,SF(m)|0)|0)}function pve(){var s=0;return o[7608]|0||(yve(9120),s=7608,n[s>>2]=1,n[s+4>>2]=0),9120}function Pl(s){return s=s|0,n[s+8>>2]|0}function KA(s){return s=+s,+ +xF(s)}function SF(s){return s=s|0,t5(s)|0}function hve(s,l){s=s|0,l=l|0;var c=0,f=0,d=0;d=C,C=C+32|0,c=d,f=l,f&1?(gve(c,0),ii(f|0,c|0)|0,dve(s,c),mve(c)):(n[s>>2]=n[l>>2],n[s+4>>2]=n[l+4>>2],n[s+8>>2]=n[l+8>>2],n[s+12>>2]=n[l+12>>2]),C=d}function gve(s,l){s=s|0,l=l|0,e5(s,l),n[s+8>>2]=0,o[s+24>>0]=0}function dve(s,l){s=s|0,l=l|0,l=l+8|0,n[s>>2]=n[l>>2],n[s+4>>2]=n[l+4>>2],n[s+8>>2]=n[l+8>>2],n[s+12>>2]=n[l+12>>2]}function mve(s){s=s|0,o[s+24>>0]=0}function e5(s,l){s=s|0,l=l|0,n[s>>2]=l}function t5(s){return s=s|0,s|0}function xF(s){return s=+s,+s}function yve(s){s=s|0,Sl(s,Eve()|0,4)}function Eve(){return 1064}function Sl(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c,n[s+8>>2]=cp(l|0,c+1|0)|0}function Cve(s,l){s=s|0,l=l|0,l=n[l>>2]|0,n[s>>2]=l,yl(l|0)}function wve(s){s=s|0;var l=0,c=0;c=s+4|0,l=n[c>>2]|0,n[c>>2]=0,l|0&&(jA(l),gt(l)),It(n[s>>2]|0,0)}function Ive(s){s=s|0,Rt(n[s>>2]|0)}function Bve(s){return s=s|0,er(n[s>>2]|0)|0}function vve(s,l,c,f){s=s|0,l=+l,c=+c,f=f|0,vc(n[s>>2]|0,y(l),y(c),f)}function Dve(s){return s=s|0,+ +y(Il(n[s>>2]|0))}function Pve(s){return s=s|0,+ +y(gg(n[s>>2]|0))}function Sve(s){return s=s|0,+ +y(Iu(n[s>>2]|0))}function xve(s){return s=s|0,+ +y(RA(n[s>>2]|0))}function bve(s){return s=s|0,+ +y(hp(n[s>>2]|0))}function kve(s){return s=s|0,+ +y(ja(n[s>>2]|0))}function Qve(s,l){s=s|0,l=l|0,E[s>>3]=+y(Il(n[l>>2]|0)),E[s+8>>3]=+y(gg(n[l>>2]|0)),E[s+16>>3]=+y(Iu(n[l>>2]|0)),E[s+24>>3]=+y(RA(n[l>>2]|0)),E[s+32>>3]=+y(hp(n[l>>2]|0)),E[s+40>>3]=+y(ja(n[l>>2]|0))}function Fve(s,l){return s=s|0,l=l|0,+ +y(dg(n[s>>2]|0,l))}function Tve(s,l){return s=s|0,l=l|0,+ +y(gp(n[s>>2]|0,l))}function Rve(s,l){return s=s|0,l=l|0,+ +y(qo(n[s>>2]|0,l))}function Nve(){return Pn()|0}function Lve(){Mve(),Ove(),Uve(),_ve(),Hve(),jve()}function Mve(){HNe(11713,4938,1)}function Ove(){oNe(10448)}function Uve(){HRe(10408)}function _ve(){uRe(10324)}function Hve(){yFe(10096)}function jve(){qve(9132)}function qve(s){s=s|0;var l=0,c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0,Ge=0,Oe=0,Fe=0,et=0,Xe=0,at=0,Ue=0,qe=0,Lt=0,Or=0,or=0,Xt=0,Pr=0,Nr=0,ir=0,bn=0,go=0,mo=0,yo=0,ya=0,Qp=0,Fp=0,xl=0,Tp=0,Fu=0,Tu=0,Rp=0,Np=0,Lp=0,Xr=0,bl=0,Mp=0,bc=0,Op=0,Up=0,Ru=0,Nu=0,kc=0,qs=0,za=0,Wo=0,kl=0,rf=0,nf=0,Lu=0,sf=0,of=0,Gs=0,vs=0,Ql=0,Tn=0,af=0,Eo=0,Qc=0,Co=0,Fc=0,lf=0,cf=0,Tc=0,Ys=0,Fl=0,uf=0,Af=0,ff=0,br=0,Jn=0,Ds=0,wo=0,Ws=0,Tr=0,ur=0,Tl=0;l=C,C=C+672|0,c=l+656|0,Tl=l+648|0,ur=l+640|0,Tr=l+632|0,Ws=l+624|0,wo=l+616|0,Ds=l+608|0,Jn=l+600|0,br=l+592|0,ff=l+584|0,Af=l+576|0,uf=l+568|0,Fl=l+560|0,Ys=l+552|0,Tc=l+544|0,cf=l+536|0,lf=l+528|0,Fc=l+520|0,Co=l+512|0,Qc=l+504|0,Eo=l+496|0,af=l+488|0,Tn=l+480|0,Ql=l+472|0,vs=l+464|0,Gs=l+456|0,of=l+448|0,sf=l+440|0,Lu=l+432|0,nf=l+424|0,rf=l+416|0,kl=l+408|0,Wo=l+400|0,za=l+392|0,qs=l+384|0,kc=l+376|0,Nu=l+368|0,Ru=l+360|0,Up=l+352|0,Op=l+344|0,bc=l+336|0,Mp=l+328|0,bl=l+320|0,Xr=l+312|0,Lp=l+304|0,Np=l+296|0,Rp=l+288|0,Tu=l+280|0,Fu=l+272|0,Tp=l+264|0,xl=l+256|0,Fp=l+248|0,Qp=l+240|0,ya=l+232|0,yo=l+224|0,mo=l+216|0,go=l+208|0,bn=l+200|0,ir=l+192|0,Nr=l+184|0,Pr=l+176|0,Xt=l+168|0,or=l+160|0,Or=l+152|0,Lt=l+144|0,qe=l+136|0,Ue=l+128|0,at=l+120|0,Xe=l+112|0,et=l+104|0,Fe=l+96|0,Oe=l+88|0,Ge=l+80|0,se=l+72|0,q=l+64|0,M=l+56|0,O=l+48|0,Q=l+40|0,k=l+32|0,B=l+24|0,m=l+16|0,d=l+8|0,f=l,Gve(s,3646),Yve(s,3651,2)|0,Wve(s,3665,2)|0,Vve(s,3682,18)|0,n[Tl>>2]=19,n[Tl+4>>2]=0,n[c>>2]=n[Tl>>2],n[c+4>>2]=n[Tl+4>>2],Tw(s,3690,c)|0,n[ur>>2]=1,n[ur+4>>2]=0,n[c>>2]=n[ur>>2],n[c+4>>2]=n[ur+4>>2],Kve(s,3696,c)|0,n[Tr>>2]=2,n[Tr+4>>2]=0,n[c>>2]=n[Tr>>2],n[c+4>>2]=n[Tr+4>>2],bu(s,3706,c)|0,n[Ws>>2]=1,n[Ws+4>>2]=0,n[c>>2]=n[Ws>>2],n[c+4>>2]=n[Ws+4>>2],Dg(s,3722,c)|0,n[wo>>2]=2,n[wo+4>>2]=0,n[c>>2]=n[wo>>2],n[c+4>>2]=n[wo+4>>2],Dg(s,3734,c)|0,n[Ds>>2]=3,n[Ds+4>>2]=0,n[c>>2]=n[Ds>>2],n[c+4>>2]=n[Ds+4>>2],bu(s,3753,c)|0,n[Jn>>2]=4,n[Jn+4>>2]=0,n[c>>2]=n[Jn>>2],n[c+4>>2]=n[Jn+4>>2],bu(s,3769,c)|0,n[br>>2]=5,n[br+4>>2]=0,n[c>>2]=n[br>>2],n[c+4>>2]=n[br+4>>2],bu(s,3783,c)|0,n[ff>>2]=6,n[ff+4>>2]=0,n[c>>2]=n[ff>>2],n[c+4>>2]=n[ff+4>>2],bu(s,3796,c)|0,n[Af>>2]=7,n[Af+4>>2]=0,n[c>>2]=n[Af>>2],n[c+4>>2]=n[Af+4>>2],bu(s,3813,c)|0,n[uf>>2]=8,n[uf+4>>2]=0,n[c>>2]=n[uf>>2],n[c+4>>2]=n[uf+4>>2],bu(s,3825,c)|0,n[Fl>>2]=3,n[Fl+4>>2]=0,n[c>>2]=n[Fl>>2],n[c+4>>2]=n[Fl+4>>2],Dg(s,3843,c)|0,n[Ys>>2]=4,n[Ys+4>>2]=0,n[c>>2]=n[Ys>>2],n[c+4>>2]=n[Ys+4>>2],Dg(s,3853,c)|0,n[Tc>>2]=9,n[Tc+4>>2]=0,n[c>>2]=n[Tc>>2],n[c+4>>2]=n[Tc+4>>2],bu(s,3870,c)|0,n[cf>>2]=10,n[cf+4>>2]=0,n[c>>2]=n[cf>>2],n[c+4>>2]=n[cf+4>>2],bu(s,3884,c)|0,n[lf>>2]=11,n[lf+4>>2]=0,n[c>>2]=n[lf>>2],n[c+4>>2]=n[lf+4>>2],bu(s,3896,c)|0,n[Fc>>2]=1,n[Fc+4>>2]=0,n[c>>2]=n[Fc>>2],n[c+4>>2]=n[Fc+4>>2],Is(s,3907,c)|0,n[Co>>2]=2,n[Co+4>>2]=0,n[c>>2]=n[Co>>2],n[c+4>>2]=n[Co+4>>2],Is(s,3915,c)|0,n[Qc>>2]=3,n[Qc+4>>2]=0,n[c>>2]=n[Qc>>2],n[c+4>>2]=n[Qc+4>>2],Is(s,3928,c)|0,n[Eo>>2]=4,n[Eo+4>>2]=0,n[c>>2]=n[Eo>>2],n[c+4>>2]=n[Eo+4>>2],Is(s,3948,c)|0,n[af>>2]=5,n[af+4>>2]=0,n[c>>2]=n[af>>2],n[c+4>>2]=n[af+4>>2],Is(s,3960,c)|0,n[Tn>>2]=6,n[Tn+4>>2]=0,n[c>>2]=n[Tn>>2],n[c+4>>2]=n[Tn+4>>2],Is(s,3974,c)|0,n[Ql>>2]=7,n[Ql+4>>2]=0,n[c>>2]=n[Ql>>2],n[c+4>>2]=n[Ql+4>>2],Is(s,3983,c)|0,n[vs>>2]=20,n[vs+4>>2]=0,n[c>>2]=n[vs>>2],n[c+4>>2]=n[vs+4>>2],Tw(s,3999,c)|0,n[Gs>>2]=8,n[Gs+4>>2]=0,n[c>>2]=n[Gs>>2],n[c+4>>2]=n[Gs+4>>2],Is(s,4012,c)|0,n[of>>2]=9,n[of+4>>2]=0,n[c>>2]=n[of>>2],n[c+4>>2]=n[of+4>>2],Is(s,4022,c)|0,n[sf>>2]=21,n[sf+4>>2]=0,n[c>>2]=n[sf>>2],n[c+4>>2]=n[sf+4>>2],Tw(s,4039,c)|0,n[Lu>>2]=10,n[Lu+4>>2]=0,n[c>>2]=n[Lu>>2],n[c+4>>2]=n[Lu+4>>2],Is(s,4053,c)|0,n[nf>>2]=11,n[nf+4>>2]=0,n[c>>2]=n[nf>>2],n[c+4>>2]=n[nf+4>>2],Is(s,4065,c)|0,n[rf>>2]=12,n[rf+4>>2]=0,n[c>>2]=n[rf>>2],n[c+4>>2]=n[rf+4>>2],Is(s,4084,c)|0,n[kl>>2]=13,n[kl+4>>2]=0,n[c>>2]=n[kl>>2],n[c+4>>2]=n[kl+4>>2],Is(s,4097,c)|0,n[Wo>>2]=14,n[Wo+4>>2]=0,n[c>>2]=n[Wo>>2],n[c+4>>2]=n[Wo+4>>2],Is(s,4117,c)|0,n[za>>2]=15,n[za+4>>2]=0,n[c>>2]=n[za>>2],n[c+4>>2]=n[za+4>>2],Is(s,4129,c)|0,n[qs>>2]=16,n[qs+4>>2]=0,n[c>>2]=n[qs>>2],n[c+4>>2]=n[qs+4>>2],Is(s,4148,c)|0,n[kc>>2]=17,n[kc+4>>2]=0,n[c>>2]=n[kc>>2],n[c+4>>2]=n[kc+4>>2],Is(s,4161,c)|0,n[Nu>>2]=18,n[Nu+4>>2]=0,n[c>>2]=n[Nu>>2],n[c+4>>2]=n[Nu+4>>2],Is(s,4181,c)|0,n[Ru>>2]=5,n[Ru+4>>2]=0,n[c>>2]=n[Ru>>2],n[c+4>>2]=n[Ru+4>>2],Dg(s,4196,c)|0,n[Up>>2]=6,n[Up+4>>2]=0,n[c>>2]=n[Up>>2],n[c+4>>2]=n[Up+4>>2],Dg(s,4206,c)|0,n[Op>>2]=7,n[Op+4>>2]=0,n[c>>2]=n[Op>>2],n[c+4>>2]=n[Op+4>>2],Dg(s,4217,c)|0,n[bc>>2]=3,n[bc+4>>2]=0,n[c>>2]=n[bc>>2],n[c+4>>2]=n[bc+4>>2],JA(s,4235,c)|0,n[Mp>>2]=1,n[Mp+4>>2]=0,n[c>>2]=n[Mp>>2],n[c+4>>2]=n[Mp+4>>2],bF(s,4251,c)|0,n[bl>>2]=4,n[bl+4>>2]=0,n[c>>2]=n[bl>>2],n[c+4>>2]=n[bl+4>>2],JA(s,4263,c)|0,n[Xr>>2]=5,n[Xr+4>>2]=0,n[c>>2]=n[Xr>>2],n[c+4>>2]=n[Xr+4>>2],JA(s,4279,c)|0,n[Lp>>2]=6,n[Lp+4>>2]=0,n[c>>2]=n[Lp>>2],n[c+4>>2]=n[Lp+4>>2],JA(s,4293,c)|0,n[Np>>2]=7,n[Np+4>>2]=0,n[c>>2]=n[Np>>2],n[c+4>>2]=n[Np+4>>2],JA(s,4306,c)|0,n[Rp>>2]=8,n[Rp+4>>2]=0,n[c>>2]=n[Rp>>2],n[c+4>>2]=n[Rp+4>>2],JA(s,4323,c)|0,n[Tu>>2]=9,n[Tu+4>>2]=0,n[c>>2]=n[Tu>>2],n[c+4>>2]=n[Tu+4>>2],JA(s,4335,c)|0,n[Fu>>2]=2,n[Fu+4>>2]=0,n[c>>2]=n[Fu>>2],n[c+4>>2]=n[Fu+4>>2],bF(s,4353,c)|0,n[Tp>>2]=12,n[Tp+4>>2]=0,n[c>>2]=n[Tp>>2],n[c+4>>2]=n[Tp+4>>2],Pg(s,4363,c)|0,n[xl>>2]=1,n[xl+4>>2]=0,n[c>>2]=n[xl>>2],n[c+4>>2]=n[xl+4>>2],zA(s,4376,c)|0,n[Fp>>2]=2,n[Fp+4>>2]=0,n[c>>2]=n[Fp>>2],n[c+4>>2]=n[Fp+4>>2],zA(s,4388,c)|0,n[Qp>>2]=13,n[Qp+4>>2]=0,n[c>>2]=n[Qp>>2],n[c+4>>2]=n[Qp+4>>2],Pg(s,4402,c)|0,n[ya>>2]=14,n[ya+4>>2]=0,n[c>>2]=n[ya>>2],n[c+4>>2]=n[ya+4>>2],Pg(s,4411,c)|0,n[yo>>2]=15,n[yo+4>>2]=0,n[c>>2]=n[yo>>2],n[c+4>>2]=n[yo+4>>2],Pg(s,4421,c)|0,n[mo>>2]=16,n[mo+4>>2]=0,n[c>>2]=n[mo>>2],n[c+4>>2]=n[mo+4>>2],Pg(s,4433,c)|0,n[go>>2]=17,n[go+4>>2]=0,n[c>>2]=n[go>>2],n[c+4>>2]=n[go+4>>2],Pg(s,4446,c)|0,n[bn>>2]=18,n[bn+4>>2]=0,n[c>>2]=n[bn>>2],n[c+4>>2]=n[bn+4>>2],Pg(s,4458,c)|0,n[ir>>2]=3,n[ir+4>>2]=0,n[c>>2]=n[ir>>2],n[c+4>>2]=n[ir+4>>2],zA(s,4471,c)|0,n[Nr>>2]=1,n[Nr+4>>2]=0,n[c>>2]=n[Nr>>2],n[c+4>>2]=n[Nr+4>>2],iD(s,4486,c)|0,n[Pr>>2]=10,n[Pr+4>>2]=0,n[c>>2]=n[Pr>>2],n[c+4>>2]=n[Pr+4>>2],JA(s,4496,c)|0,n[Xt>>2]=11,n[Xt+4>>2]=0,n[c>>2]=n[Xt>>2],n[c+4>>2]=n[Xt+4>>2],JA(s,4508,c)|0,n[or>>2]=3,n[or+4>>2]=0,n[c>>2]=n[or>>2],n[c+4>>2]=n[or+4>>2],bF(s,4519,c)|0,n[Or>>2]=4,n[Or+4>>2]=0,n[c>>2]=n[Or>>2],n[c+4>>2]=n[Or+4>>2],Jve(s,4530,c)|0,n[Lt>>2]=19,n[Lt+4>>2]=0,n[c>>2]=n[Lt>>2],n[c+4>>2]=n[Lt+4>>2],zve(s,4542,c)|0,n[qe>>2]=12,n[qe+4>>2]=0,n[c>>2]=n[qe>>2],n[c+4>>2]=n[qe+4>>2],Xve(s,4554,c)|0,n[Ue>>2]=13,n[Ue+4>>2]=0,n[c>>2]=n[Ue>>2],n[c+4>>2]=n[Ue+4>>2],Zve(s,4568,c)|0,n[at>>2]=2,n[at+4>>2]=0,n[c>>2]=n[at>>2],n[c+4>>2]=n[at+4>>2],$ve(s,4578,c)|0,n[Xe>>2]=20,n[Xe+4>>2]=0,n[c>>2]=n[Xe>>2],n[c+4>>2]=n[Xe+4>>2],eDe(s,4587,c)|0,n[et>>2]=22,n[et+4>>2]=0,n[c>>2]=n[et>>2],n[c+4>>2]=n[et+4>>2],Tw(s,4602,c)|0,n[Fe>>2]=23,n[Fe+4>>2]=0,n[c>>2]=n[Fe>>2],n[c+4>>2]=n[Fe+4>>2],Tw(s,4619,c)|0,n[Oe>>2]=14,n[Oe+4>>2]=0,n[c>>2]=n[Oe>>2],n[c+4>>2]=n[Oe+4>>2],tDe(s,4629,c)|0,n[Ge>>2]=1,n[Ge+4>>2]=0,n[c>>2]=n[Ge>>2],n[c+4>>2]=n[Ge+4>>2],rDe(s,4637,c)|0,n[se>>2]=4,n[se+4>>2]=0,n[c>>2]=n[se>>2],n[c+4>>2]=n[se+4>>2],zA(s,4653,c)|0,n[q>>2]=5,n[q+4>>2]=0,n[c>>2]=n[q>>2],n[c+4>>2]=n[q+4>>2],zA(s,4669,c)|0,n[M>>2]=6,n[M+4>>2]=0,n[c>>2]=n[M>>2],n[c+4>>2]=n[M+4>>2],zA(s,4686,c)|0,n[O>>2]=7,n[O+4>>2]=0,n[c>>2]=n[O>>2],n[c+4>>2]=n[O+4>>2],zA(s,4701,c)|0,n[Q>>2]=8,n[Q+4>>2]=0,n[c>>2]=n[Q>>2],n[c+4>>2]=n[Q+4>>2],zA(s,4719,c)|0,n[k>>2]=9,n[k+4>>2]=0,n[c>>2]=n[k>>2],n[c+4>>2]=n[k+4>>2],zA(s,4736,c)|0,n[B>>2]=21,n[B+4>>2]=0,n[c>>2]=n[B>>2],n[c+4>>2]=n[B+4>>2],nDe(s,4754,c)|0,n[m>>2]=2,n[m+4>>2]=0,n[c>>2]=n[m>>2],n[c+4>>2]=n[m+4>>2],iD(s,4772,c)|0,n[d>>2]=3,n[d+4>>2]=0,n[c>>2]=n[d>>2],n[c+4>>2]=n[d+4>>2],iD(s,4790,c)|0,n[f>>2]=4,n[f+4>>2]=0,n[c>>2]=n[f>>2],n[c+4>>2]=n[f+4>>2],iD(s,4808,c)|0,C=l}function Gve(s,l){s=s|0,l=l|0;var c=0;c=cFe()|0,n[s>>2]=c,uFe(c,l),xp(n[s>>2]|0)}function Yve(s,l,c){return s=s|0,l=l|0,c=c|0,JQe(s,pn(l)|0,c,0),s|0}function Wve(s,l,c){return s=s|0,l=l|0,c=c|0,TQe(s,pn(l)|0,c,0),s|0}function Vve(s,l,c){return s=s|0,l=l|0,c=c|0,EQe(s,pn(l)|0,c,0),s|0}function Tw(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],nQe(s,l,d),C=f,s|0}function Kve(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Oke(s,l,d),C=f,s|0}function bu(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Ike(s,l,d),C=f,s|0}function Dg(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],oke(s,l,d),C=f,s|0}function Is(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Gbe(s,l,d),C=f,s|0}function JA(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],xbe(s,l,d),C=f,s|0}function bF(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],fbe(s,l,d),C=f,s|0}function Pg(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Oxe(s,l,d),C=f,s|0}function zA(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Ixe(s,l,d),C=f,s|0}function iD(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],oxe(s,l,d),C=f,s|0}function Jve(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],GSe(s,l,d),C=f,s|0}function zve(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],xSe(s,l,d),C=f,s|0}function Xve(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],pSe(s,l,d),C=f,s|0}function Zve(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],ZPe(s,l,d),C=f,s|0}function $ve(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],NPe(s,l,d),C=f,s|0}function eDe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],yPe(s,l,d),C=f,s|0}function tDe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],rPe(s,l,d),C=f,s|0}function rDe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],ODe(s,l,d),C=f,s|0}function nDe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],iDe(s,l,d),C=f,s|0}function iDe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],sDe(s,c,d,1),C=f}function pn(s){return s=s|0,s|0}function sDe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=kF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=oDe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,aDe(m,f)|0,f),C=d}function kF(){var s=0,l=0;if(o[7616]|0||(i5(9136),tr(24,9136,U|0)|0,l=7616,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9136)|0)){s=9136,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));i5(9136)}return 9136}function oDe(s){return s=s|0,0}function aDe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=kF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],n5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(uDe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function hn(s,l,c,f,d,m){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0;var B=0,k=0,Q=0,O=0,M=0,q=0,se=0,Ge=0;B=C,C=C+32|0,se=B+24|0,q=B+20|0,Q=B+16|0,M=B+12|0,O=B+8|0,k=B+4|0,Ge=B,n[q>>2]=l,n[Q>>2]=c,n[M>>2]=f,n[O>>2]=d,n[k>>2]=m,m=s+28|0,n[Ge>>2]=n[m>>2],n[se>>2]=n[Ge>>2],lDe(s+24|0,se,q,M,O,Q,k)|0,n[m>>2]=n[n[m>>2]>>2],C=B}function lDe(s,l,c,f,d,m,B){return s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0,B=B|0,s=cDe(l)|0,l=Vt(24)|0,r5(l+4|0,n[c>>2]|0,n[f>>2]|0,n[d>>2]|0,n[m>>2]|0,n[B>>2]|0),n[l>>2]=n[s>>2],n[s>>2]=l,l|0}function cDe(s){return s=s|0,n[s>>2]|0}function r5(s,l,c,f,d,m){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0,n[s>>2]=l,n[s+4>>2]=c,n[s+8>>2]=f,n[s+12>>2]=d,n[s+16>>2]=m}function gr(s,l){return s=s|0,l=l|0,l|s|0}function n5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function uDe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=ADe(s)|0,m>>>0>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,fDe(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],n5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,pDe(s,k),hDe(k),C=O;return}}function ADe(s){return s=s|0,357913941}function fDe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function pDe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function hDe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function i5(s){s=s|0,mDe(s)}function gDe(s){s=s|0,dDe(s+24|0)}function Rr(s){return s=s|0,n[s>>2]|0}function dDe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function mDe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,3,l,yDe()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function Vr(){return 9228}function yDe(){return 1140}function EDe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0;return c=C,C=C+16|0,f=c+8|0,d=c,m=CDe(s)|0,s=n[m+4>>2]|0,n[d>>2]=n[m>>2],n[d+4>>2]=s,n[f>>2]=n[d>>2],n[f+4>>2]=n[d+4>>2],l=wDe(l,f)|0,C=c,l|0}function Kr(s,l,c,f,d,m){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0,n[s>>2]=l,n[s+4>>2]=c,n[s+8>>2]=f,n[s+12>>2]=d,n[s+16>>2]=m}function CDe(s){return s=s|0,(n[(kF()|0)+24>>2]|0)+(s*12|0)|0}function wDe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0;return d=C,C=C+48|0,f=d,c=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(c=n[(n[s>>2]|0)+c>>2]|0),tf[c&31](f,s),f=IDe(f)|0,C=d,f|0}function IDe(s){s=s|0;var l=0,c=0,f=0,d=0;return d=C,C=C+32|0,l=d+12|0,c=d,f=QF(s5()|0)|0,f?(FF(l,f),TF(c,l),BDe(s,c),s=RF(l)|0):s=vDe(s)|0,C=d,s|0}function s5(){var s=0;return o[7632]|0||(RDe(9184),tr(25,9184,U|0)|0,s=7632,n[s>>2]=1,n[s+4>>2]=0),9184}function QF(s){return s=s|0,n[s+36>>2]|0}function FF(s,l){s=s|0,l=l|0,n[s>>2]=l,n[s+4>>2]=s,n[s+8>>2]=0}function TF(s,l){s=s|0,l=l|0,n[s>>2]=n[l>>2],n[s+4>>2]=n[l+4>>2],n[s+8>>2]=0}function BDe(s,l){s=s|0,l=l|0,xDe(l,s,s+8|0,s+16|0,s+24|0,s+32|0,s+40|0)|0}function RF(s){return s=s|0,n[(n[s+4>>2]|0)+8>>2]|0}function vDe(s){s=s|0;var l=0,c=0,f=0,d=0,m=0,B=0,k=0,Q=0;Q=C,C=C+16|0,c=Q+4|0,f=Q,d=Wa(8)|0,m=d,B=Vt(48)|0,k=B,l=k+48|0;do n[k>>2]=n[s>>2],k=k+4|0,s=s+4|0;while((k|0)<(l|0));return l=m+4|0,n[l>>2]=B,k=Vt(8)|0,B=n[l>>2]|0,n[f>>2]=0,n[c>>2]=n[f>>2],o5(k,B,c),n[d>>2]=k,C=Q,m|0}function o5(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,c=Vt(16)|0,n[c+4>>2]=0,n[c+8>>2]=0,n[c>>2]=1092,n[c+12>>2]=l,n[s+4>>2]=c}function DDe(s){s=s|0,Jm(s),gt(s)}function PDe(s){s=s|0,s=n[s+12>>2]|0,s|0&>(s)}function SDe(s){s=s|0,gt(s)}function xDe(s,l,c,f,d,m,B){return s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0,B=B|0,m=bDe(n[s>>2]|0,l,c,f,d,m,B)|0,B=s+4|0,n[(n[B>>2]|0)+8>>2]=m,n[(n[B>>2]|0)+8>>2]|0}function bDe(s,l,c,f,d,m,B){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0,B=B|0;var k=0,Q=0;return k=C,C=C+16|0,Q=k,Va(Q),s=da(s)|0,B=kDe(s,+E[l>>3],+E[c>>3],+E[f>>3],+E[d>>3],+E[m>>3],+E[B>>3])|0,Ka(Q),C=k,B|0}function kDe(s,l,c,f,d,m,B){s=s|0,l=+l,c=+c,f=+f,d=+d,m=+m,B=+B;var k=0;return k=Pl(QDe()|0)|0,l=+KA(l),c=+KA(c),f=+KA(f),d=+KA(d),m=+KA(m),Os(0,k|0,s|0,+l,+c,+f,+d,+m,+ +KA(B))|0}function QDe(){var s=0;return o[7624]|0||(FDe(9172),s=7624,n[s>>2]=1,n[s+4>>2]=0),9172}function FDe(s){s=s|0,Sl(s,TDe()|0,6)}function TDe(){return 1112}function RDe(s){s=s|0,Bp(s)}function NDe(s){s=s|0,a5(s+24|0),l5(s+16|0)}function a5(s){s=s|0,MDe(s)}function l5(s){s=s|0,LDe(s)}function LDe(s){s=s|0;var l=0,c=0;if(l=n[s>>2]|0,l|0)do c=l,l=n[l>>2]|0,gt(c);while((l|0)!=0);n[s>>2]=0}function MDe(s){s=s|0;var l=0,c=0;if(l=n[s>>2]|0,l|0)do c=l,l=n[l>>2]|0,gt(c);while((l|0)!=0);n[s>>2]=0}function Bp(s){s=s|0;var l=0;n[s+16>>2]=0,n[s+20>>2]=0,l=s+24|0,n[l>>2]=0,n[s+28>>2]=l,n[s+36>>2]=0,o[s+40>>0]=0,o[s+41>>0]=0}function ODe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],UDe(s,c,d,0),C=f}function UDe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=NF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=_De(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,HDe(m,f)|0,f),C=d}function NF(){var s=0,l=0;if(o[7640]|0||(u5(9232),tr(26,9232,U|0)|0,l=7640,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9232)|0)){s=9232,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));u5(9232)}return 9232}function _De(s){return s=s|0,0}function HDe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=NF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],c5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(jDe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function c5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function jDe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=qDe(s)|0,m>>>0>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,GDe(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],c5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,YDe(s,k),WDe(k),C=O;return}}function qDe(s){return s=s|0,357913941}function GDe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function YDe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function WDe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function u5(s){s=s|0,JDe(s)}function VDe(s){s=s|0,KDe(s+24|0)}function KDe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function JDe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,1,l,zDe()|0,3),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function zDe(){return 1144}function XDe(s,l,c,f,d){s=s|0,l=l|0,c=+c,f=+f,d=d|0;var m=0,B=0,k=0,Q=0;m=C,C=C+16|0,B=m+8|0,k=m,Q=ZDe(s)|0,s=n[Q+4>>2]|0,n[k>>2]=n[Q>>2],n[k+4>>2]=s,n[B>>2]=n[k>>2],n[B+4>>2]=n[k+4>>2],$De(l,B,c,f,d),C=m}function ZDe(s){return s=s|0,(n[(NF()|0)+24>>2]|0)+(s*12|0)|0}function $De(s,l,c,f,d){s=s|0,l=l|0,c=+c,f=+f,d=d|0;var m=0,B=0,k=0,Q=0,O=0;O=C,C=C+16|0,B=O+2|0,k=O+1|0,Q=O,m=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(m=n[(n[s>>2]|0)+m>>2]|0),ku(B,c),c=+Qu(B,c),ku(k,f),f=+Qu(k,f),XA(Q,d),Q=ZA(Q,d)|0,D7[m&1](s,c,f,Q),C=O}function ku(s,l){s=s|0,l=+l}function Qu(s,l){return s=s|0,l=+l,+ +tPe(l)}function XA(s,l){s=s|0,l=l|0}function ZA(s,l){return s=s|0,l=l|0,ePe(l)|0}function ePe(s){return s=s|0,s|0}function tPe(s){return s=+s,+s}function rPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],nPe(s,c,d,1),C=f}function nPe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=LF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=iPe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,sPe(m,f)|0,f),C=d}function LF(){var s=0,l=0;if(o[7648]|0||(f5(9268),tr(27,9268,U|0)|0,l=7648,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9268)|0)){s=9268,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));f5(9268)}return 9268}function iPe(s){return s=s|0,0}function sPe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=LF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],A5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(oPe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function A5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function oPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=aPe(s)|0,m>>>0>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,lPe(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],A5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,cPe(s,k),uPe(k),C=O;return}}function aPe(s){return s=s|0,357913941}function lPe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function cPe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function uPe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function f5(s){s=s|0,pPe(s)}function APe(s){s=s|0,fPe(s+24|0)}function fPe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function pPe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,4,l,hPe()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function hPe(){return 1160}function gPe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0;return c=C,C=C+16|0,f=c+8|0,d=c,m=dPe(s)|0,s=n[m+4>>2]|0,n[d>>2]=n[m>>2],n[d+4>>2]=s,n[f>>2]=n[d>>2],n[f+4>>2]=n[d+4>>2],l=mPe(l,f)|0,C=c,l|0}function dPe(s){return s=s|0,(n[(LF()|0)+24>>2]|0)+(s*12|0)|0}function mPe(s,l){s=s|0,l=l|0;var c=0;return c=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(c=n[(n[s>>2]|0)+c>>2]|0),p5(Ng[c&31](s)|0)|0}function p5(s){return s=s|0,s&1|0}function yPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],EPe(s,c,d,0),C=f}function EPe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=MF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=CPe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,wPe(m,f)|0,f),C=d}function MF(){var s=0,l=0;if(o[7656]|0||(g5(9304),tr(28,9304,U|0)|0,l=7656,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9304)|0)){s=9304,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));g5(9304)}return 9304}function CPe(s){return s=s|0,0}function wPe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=MF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],h5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(IPe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function h5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function IPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=BPe(s)|0,m>>>0>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,vPe(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],h5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,DPe(s,k),PPe(k),C=O;return}}function BPe(s){return s=s|0,357913941}function vPe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function DPe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function PPe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function g5(s){s=s|0,bPe(s)}function SPe(s){s=s|0,xPe(s+24|0)}function xPe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function bPe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,5,l,kPe()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function kPe(){return 1164}function QPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;f=C,C=C+16|0,d=f+8|0,m=f,B=FPe(s)|0,s=n[B+4>>2]|0,n[m>>2]=n[B>>2],n[m+4>>2]=s,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],TPe(l,d,c),C=f}function FPe(s){return s=s|0,(n[(MF()|0)+24>>2]|0)+(s*12|0)|0}function TPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0;m=C,C=C+16|0,d=m,f=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(f=n[(n[s>>2]|0)+f>>2]|0),vp(d,c),c=Dp(d,c)|0,tf[f&31](s,c),Pp(d),C=m}function vp(s,l){s=s|0,l=l|0,RPe(s,l)}function Dp(s,l){return s=s|0,l=l|0,s|0}function Pp(s){s=s|0,jA(s)}function RPe(s,l){s=s|0,l=l|0,OF(s,l)}function OF(s,l){s=s|0,l=l|0,n[s>>2]=l}function NPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],LPe(s,c,d,0),C=f}function LPe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=UF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=MPe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,OPe(m,f)|0,f),C=d}function UF(){var s=0,l=0;if(o[7664]|0||(m5(9340),tr(29,9340,U|0)|0,l=7664,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9340)|0)){s=9340,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));m5(9340)}return 9340}function MPe(s){return s=s|0,0}function OPe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=UF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],d5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(UPe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function d5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function UPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=_Pe(s)|0,m>>>0>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,HPe(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],d5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,jPe(s,k),qPe(k),C=O;return}}function _Pe(s){return s=s|0,357913941}function HPe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function jPe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function qPe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function m5(s){s=s|0,WPe(s)}function GPe(s){s=s|0,YPe(s+24|0)}function YPe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function WPe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,4,l,VPe()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function VPe(){return 1180}function KPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=JPe(s)|0,s=n[B+4>>2]|0,n[m>>2]=n[B>>2],n[m+4>>2]=s,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],c=zPe(l,d,c)|0,C=f,c|0}function JPe(s){return s=s|0,(n[(UF()|0)+24>>2]|0)+(s*12|0)|0}function zPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0;return m=C,C=C+16|0,d=m,f=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(f=n[(n[s>>2]|0)+f>>2]|0),Sg(d,c),d=xg(d,c)|0,d=sD(NT[f&15](s,d)|0)|0,C=m,d|0}function Sg(s,l){s=s|0,l=l|0}function xg(s,l){return s=s|0,l=l|0,XPe(l)|0}function sD(s){return s=s|0,s|0}function XPe(s){return s=s|0,s|0}function ZPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],$Pe(s,c,d,0),C=f}function $Pe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=_F()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=eSe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,tSe(m,f)|0,f),C=d}function _F(){var s=0,l=0;if(o[7672]|0||(E5(9376),tr(30,9376,U|0)|0,l=7672,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9376)|0)){s=9376,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));E5(9376)}return 9376}function eSe(s){return s=s|0,0}function tSe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=_F()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],y5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(rSe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function y5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function rSe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=nSe(s)|0,m>>>0>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,iSe(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],y5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,sSe(s,k),oSe(k),C=O;return}}function nSe(s){return s=s|0,357913941}function iSe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function sSe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function oSe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function E5(s){s=s|0,cSe(s)}function aSe(s){s=s|0,lSe(s+24|0)}function lSe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function cSe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,5,l,C5()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function C5(){return 1196}function uSe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0;return c=C,C=C+16|0,f=c+8|0,d=c,m=ASe(s)|0,s=n[m+4>>2]|0,n[d>>2]=n[m>>2],n[d+4>>2]=s,n[f>>2]=n[d>>2],n[f+4>>2]=n[d+4>>2],l=fSe(l,f)|0,C=c,l|0}function ASe(s){return s=s|0,(n[(_F()|0)+24>>2]|0)+(s*12|0)|0}function fSe(s,l){s=s|0,l=l|0;var c=0;return c=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(c=n[(n[s>>2]|0)+c>>2]|0),sD(Ng[c&31](s)|0)|0}function pSe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],hSe(s,c,d,1),C=f}function hSe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=HF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=gSe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,dSe(m,f)|0,f),C=d}function HF(){var s=0,l=0;if(o[7680]|0||(I5(9412),tr(31,9412,U|0)|0,l=7680,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9412)|0)){s=9412,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));I5(9412)}return 9412}function gSe(s){return s=s|0,0}function dSe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=HF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],w5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(mSe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function w5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function mSe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=ySe(s)|0,m>>>0>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,ESe(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],w5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,CSe(s,k),wSe(k),C=O;return}}function ySe(s){return s=s|0,357913941}function ESe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function CSe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function wSe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function I5(s){s=s|0,vSe(s)}function ISe(s){s=s|0,BSe(s+24|0)}function BSe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function vSe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,6,l,B5()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function B5(){return 1200}function DSe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0;return c=C,C=C+16|0,f=c+8|0,d=c,m=PSe(s)|0,s=n[m+4>>2]|0,n[d>>2]=n[m>>2],n[d+4>>2]=s,n[f>>2]=n[d>>2],n[f+4>>2]=n[d+4>>2],l=SSe(l,f)|0,C=c,l|0}function PSe(s){return s=s|0,(n[(HF()|0)+24>>2]|0)+(s*12|0)|0}function SSe(s,l){s=s|0,l=l|0;var c=0;return c=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(c=n[(n[s>>2]|0)+c>>2]|0),oD(Ng[c&31](s)|0)|0}function oD(s){return s=s|0,s|0}function xSe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],bSe(s,c,d,0),C=f}function bSe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=jF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=kSe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,QSe(m,f)|0,f),C=d}function jF(){var s=0,l=0;if(o[7688]|0||(D5(9448),tr(32,9448,U|0)|0,l=7688,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9448)|0)){s=9448,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));D5(9448)}return 9448}function kSe(s){return s=s|0,0}function QSe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=jF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],v5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(FSe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function v5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function FSe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=TSe(s)|0,m>>>0>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,RSe(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],v5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,NSe(s,k),LSe(k),C=O;return}}function TSe(s){return s=s|0,357913941}function RSe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function NSe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function LSe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function D5(s){s=s|0,USe(s)}function MSe(s){s=s|0,OSe(s+24|0)}function OSe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function USe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,6,l,P5()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function P5(){return 1204}function _Se(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;f=C,C=C+16|0,d=f+8|0,m=f,B=HSe(s)|0,s=n[B+4>>2]|0,n[m>>2]=n[B>>2],n[m+4>>2]=s,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],jSe(l,d,c),C=f}function HSe(s){return s=s|0,(n[(jF()|0)+24>>2]|0)+(s*12|0)|0}function jSe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0;m=C,C=C+16|0,d=m,f=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(f=n[(n[s>>2]|0)+f>>2]|0),qF(d,c),d=GF(d,c)|0,tf[f&31](s,d),C=m}function qF(s,l){s=s|0,l=l|0}function GF(s,l){return s=s|0,l=l|0,qSe(l)|0}function qSe(s){return s=s|0,s|0}function GSe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],YSe(s,c,d,0),C=f}function YSe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=YF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=WSe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,VSe(m,f)|0,f),C=d}function YF(){var s=0,l=0;if(o[7696]|0||(x5(9484),tr(33,9484,U|0)|0,l=7696,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9484)|0)){s=9484,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));x5(9484)}return 9484}function WSe(s){return s=s|0,0}function VSe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=YF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],S5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(KSe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function S5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function KSe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=JSe(s)|0,m>>>0>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,zSe(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],S5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,XSe(s,k),ZSe(k),C=O;return}}function JSe(s){return s=s|0,357913941}function zSe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function XSe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function ZSe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function x5(s){s=s|0,txe(s)}function $Se(s){s=s|0,exe(s+24|0)}function exe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function txe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,1,l,rxe()|0,2),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function rxe(){return 1212}function nxe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0;d=C,C=C+16|0,m=d+8|0,B=d,k=ixe(s)|0,s=n[k+4>>2]|0,n[B>>2]=n[k>>2],n[B+4>>2]=s,n[m>>2]=n[B>>2],n[m+4>>2]=n[B+4>>2],sxe(l,m,c,f),C=d}function ixe(s){return s=s|0,(n[(YF()|0)+24>>2]|0)+(s*12|0)|0}function sxe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0;k=C,C=C+16|0,m=k+1|0,B=k,d=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(d=n[(n[s>>2]|0)+d>>2]|0),qF(m,c),m=GF(m,c)|0,Sg(B,f),B=xg(B,f)|0,_w[d&15](s,m,B),C=k}function oxe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],axe(s,c,d,1),C=f}function axe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=WF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=lxe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,cxe(m,f)|0,f),C=d}function WF(){var s=0,l=0;if(o[7704]|0||(k5(9520),tr(34,9520,U|0)|0,l=7704,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9520)|0)){s=9520,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));k5(9520)}return 9520}function lxe(s){return s=s|0,0}function cxe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=WF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],b5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(uxe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function b5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function uxe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=Axe(s)|0,m>>>0>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,fxe(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],b5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,pxe(s,k),hxe(k),C=O;return}}function Axe(s){return s=s|0,357913941}function fxe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function pxe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function hxe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function k5(s){s=s|0,mxe(s)}function gxe(s){s=s|0,dxe(s+24|0)}function dxe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function mxe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,1,l,yxe()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function yxe(){return 1224}function Exe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;return d=C,C=C+16|0,m=d+8|0,B=d,k=Cxe(s)|0,s=n[k+4>>2]|0,n[B>>2]=n[k>>2],n[B+4>>2]=s,n[m>>2]=n[B>>2],n[m+4>>2]=n[B+4>>2],f=+wxe(l,m,c),C=d,+f}function Cxe(s){return s=s|0,(n[(WF()|0)+24>>2]|0)+(s*12|0)|0}function wxe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return m=C,C=C+16|0,d=m,f=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(f=n[(n[s>>2]|0)+f>>2]|0),XA(d,c),d=ZA(d,c)|0,B=+xF(+S7[f&7](s,d)),C=m,+B}function Ixe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Bxe(s,c,d,1),C=f}function Bxe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=VF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=vxe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,Dxe(m,f)|0,f),C=d}function VF(){var s=0,l=0;if(o[7712]|0||(F5(9556),tr(35,9556,U|0)|0,l=7712,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9556)|0)){s=9556,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));F5(9556)}return 9556}function vxe(s){return s=s|0,0}function Dxe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=VF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],Q5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(Pxe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function Q5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function Pxe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=Sxe(s)|0,m>>>0>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,xxe(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],Q5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,bxe(s,k),kxe(k),C=O;return}}function Sxe(s){return s=s|0,357913941}function xxe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function bxe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function kxe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function F5(s){s=s|0,Txe(s)}function Qxe(s){s=s|0,Fxe(s+24|0)}function Fxe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function Txe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,5,l,Rxe()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function Rxe(){return 1232}function Nxe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=Lxe(s)|0,s=n[B+4>>2]|0,n[m>>2]=n[B>>2],n[m+4>>2]=s,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],c=+Mxe(l,d),C=f,+c}function Lxe(s){return s=s|0,(n[(VF()|0)+24>>2]|0)+(s*12|0)|0}function Mxe(s,l){s=s|0,l=l|0;var c=0;return c=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(c=n[(n[s>>2]|0)+c>>2]|0),+ +xF(+P7[c&15](s))}function Oxe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Uxe(s,c,d,1),C=f}function Uxe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=KF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=_xe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,Hxe(m,f)|0,f),C=d}function KF(){var s=0,l=0;if(o[7720]|0||(R5(9592),tr(36,9592,U|0)|0,l=7720,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9592)|0)){s=9592,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));R5(9592)}return 9592}function _xe(s){return s=s|0,0}function Hxe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=KF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],T5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(jxe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function T5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function jxe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=qxe(s)|0,m>>>0>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,Gxe(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],T5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,Yxe(s,k),Wxe(k),C=O;return}}function qxe(s){return s=s|0,357913941}function Gxe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function Yxe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function Wxe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function R5(s){s=s|0,Jxe(s)}function Vxe(s){s=s|0,Kxe(s+24|0)}function Kxe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function Jxe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,7,l,zxe()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function zxe(){return 1276}function Xxe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0;return c=C,C=C+16|0,f=c+8|0,d=c,m=Zxe(s)|0,s=n[m+4>>2]|0,n[d>>2]=n[m>>2],n[d+4>>2]=s,n[f>>2]=n[d>>2],n[f+4>>2]=n[d+4>>2],l=$xe(l,f)|0,C=c,l|0}function Zxe(s){return s=s|0,(n[(KF()|0)+24>>2]|0)+(s*12|0)|0}function $xe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0;return d=C,C=C+16|0,f=d,c=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(c=n[(n[s>>2]|0)+c>>2]|0),tf[c&31](f,s),f=N5(f)|0,C=d,f|0}function N5(s){s=s|0;var l=0,c=0,f=0,d=0;return d=C,C=C+32|0,l=d+12|0,c=d,f=QF(L5()|0)|0,f?(FF(l,f),TF(c,l),ebe(s,c),s=RF(l)|0):s=tbe(s)|0,C=d,s|0}function L5(){var s=0;return o[7736]|0||(Abe(9640),tr(25,9640,U|0)|0,s=7736,n[s>>2]=1,n[s+4>>2]=0),9640}function ebe(s,l){s=s|0,l=l|0,sbe(l,s,s+8|0)|0}function tbe(s){s=s|0;var l=0,c=0,f=0,d=0,m=0,B=0,k=0;return c=C,C=C+16|0,d=c+4|0,B=c,f=Wa(8)|0,l=f,k=Vt(16)|0,n[k>>2]=n[s>>2],n[k+4>>2]=n[s+4>>2],n[k+8>>2]=n[s+8>>2],n[k+12>>2]=n[s+12>>2],m=l+4|0,n[m>>2]=k,s=Vt(8)|0,m=n[m>>2]|0,n[B>>2]=0,n[d>>2]=n[B>>2],JF(s,m,d),n[f>>2]=s,C=c,l|0}function JF(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,c=Vt(16)|0,n[c+4>>2]=0,n[c+8>>2]=0,n[c>>2]=1244,n[c+12>>2]=l,n[s+4>>2]=c}function rbe(s){s=s|0,Jm(s),gt(s)}function nbe(s){s=s|0,s=n[s+12>>2]|0,s|0&>(s)}function ibe(s){s=s|0,gt(s)}function sbe(s,l,c){return s=s|0,l=l|0,c=c|0,l=obe(n[s>>2]|0,l,c)|0,c=s+4|0,n[(n[c>>2]|0)+8>>2]=l,n[(n[c>>2]|0)+8>>2]|0}function obe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0;return f=C,C=C+16|0,d=f,Va(d),s=da(s)|0,c=abe(s,n[l>>2]|0,+E[c>>3])|0,Ka(d),C=f,c|0}function abe(s,l,c){s=s|0,l=l|0,c=+c;var f=0;return f=Pl(lbe()|0)|0,l=SF(l)|0,ml(0,f|0,s|0,l|0,+ +KA(c))|0}function lbe(){var s=0;return o[7728]|0||(cbe(9628),s=7728,n[s>>2]=1,n[s+4>>2]=0),9628}function cbe(s){s=s|0,Sl(s,ube()|0,2)}function ube(){return 1264}function Abe(s){s=s|0,Bp(s)}function fbe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],pbe(s,c,d,1),C=f}function pbe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=zF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=hbe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,gbe(m,f)|0,f),C=d}function zF(){var s=0,l=0;if(o[7744]|0||(O5(9684),tr(37,9684,U|0)|0,l=7744,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9684)|0)){s=9684,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));O5(9684)}return 9684}function hbe(s){return s=s|0,0}function gbe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=zF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],M5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(dbe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function M5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function dbe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=mbe(s)|0,m>>>0>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,ybe(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],M5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,Ebe(s,k),Cbe(k),C=O;return}}function mbe(s){return s=s|0,357913941}function ybe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function Ebe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function Cbe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function O5(s){s=s|0,Bbe(s)}function wbe(s){s=s|0,Ibe(s+24|0)}function Ibe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function Bbe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,5,l,vbe()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function vbe(){return 1280}function Dbe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=Pbe(s)|0,s=n[B+4>>2]|0,n[m>>2]=n[B>>2],n[m+4>>2]=s,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],c=Sbe(l,d,c)|0,C=f,c|0}function Pbe(s){return s=s|0,(n[(zF()|0)+24>>2]|0)+(s*12|0)|0}function Sbe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return B=C,C=C+32|0,d=B,m=B+16|0,f=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(f=n[(n[s>>2]|0)+f>>2]|0),XA(m,c),m=ZA(m,c)|0,_w[f&15](d,s,m),m=N5(d)|0,C=B,m|0}function xbe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],bbe(s,c,d,1),C=f}function bbe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=XF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=kbe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,Qbe(m,f)|0,f),C=d}function XF(){var s=0,l=0;if(o[7752]|0||(_5(9720),tr(38,9720,U|0)|0,l=7752,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9720)|0)){s=9720,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));_5(9720)}return 9720}function kbe(s){return s=s|0,0}function Qbe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=XF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],U5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(Fbe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function U5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function Fbe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=Tbe(s)|0,m>>>0>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,Rbe(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],U5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,Nbe(s,k),Lbe(k),C=O;return}}function Tbe(s){return s=s|0,357913941}function Rbe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function Nbe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function Lbe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function _5(s){s=s|0,Ube(s)}function Mbe(s){s=s|0,Obe(s+24|0)}function Obe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function Ube(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,8,l,_be()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function _be(){return 1288}function Hbe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0;return c=C,C=C+16|0,f=c+8|0,d=c,m=jbe(s)|0,s=n[m+4>>2]|0,n[d>>2]=n[m>>2],n[d+4>>2]=s,n[f>>2]=n[d>>2],n[f+4>>2]=n[d+4>>2],l=qbe(l,f)|0,C=c,l|0}function jbe(s){return s=s|0,(n[(XF()|0)+24>>2]|0)+(s*12|0)|0}function qbe(s,l){s=s|0,l=l|0;var c=0;return c=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(c=n[(n[s>>2]|0)+c>>2]|0),t5(Ng[c&31](s)|0)|0}function Gbe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Ybe(s,c,d,0),C=f}function Ybe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=ZF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=Wbe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,Vbe(m,f)|0,f),C=d}function ZF(){var s=0,l=0;if(o[7760]|0||(j5(9756),tr(39,9756,U|0)|0,l=7760,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9756)|0)){s=9756,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));j5(9756)}return 9756}function Wbe(s){return s=s|0,0}function Vbe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=ZF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],H5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(Kbe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function H5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function Kbe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=Jbe(s)|0,m>>>0>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,zbe(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],H5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,Xbe(s,k),Zbe(k),C=O;return}}function Jbe(s){return s=s|0,357913941}function zbe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function Xbe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function Zbe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function j5(s){s=s|0,tke(s)}function $be(s){s=s|0,eke(s+24|0)}function eke(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function tke(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,8,l,rke()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function rke(){return 1292}function nke(s,l,c){s=s|0,l=l|0,c=+c;var f=0,d=0,m=0,B=0;f=C,C=C+16|0,d=f+8|0,m=f,B=ike(s)|0,s=n[B+4>>2]|0,n[m>>2]=n[B>>2],n[m+4>>2]=s,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],ske(l,d,c),C=f}function ike(s){return s=s|0,(n[(ZF()|0)+24>>2]|0)+(s*12|0)|0}function ske(s,l,c){s=s|0,l=l|0,c=+c;var f=0,d=0,m=0;m=C,C=C+16|0,d=m,f=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(f=n[(n[s>>2]|0)+f>>2]|0),ku(d,c),c=+Qu(d,c),B7[f&31](s,c),C=m}function oke(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],ake(s,c,d,0),C=f}function ake(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=$F()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=lke(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,cke(m,f)|0,f),C=d}function $F(){var s=0,l=0;if(o[7768]|0||(G5(9792),tr(40,9792,U|0)|0,l=7768,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9792)|0)){s=9792,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));G5(9792)}return 9792}function lke(s){return s=s|0,0}function cke(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=$F()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],q5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(uke(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function q5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function uke(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=Ake(s)|0,m>>>0>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,fke(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],q5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,pke(s,k),hke(k),C=O;return}}function Ake(s){return s=s|0,357913941}function fke(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function pke(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function hke(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function G5(s){s=s|0,mke(s)}function gke(s){s=s|0,dke(s+24|0)}function dke(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function mke(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,1,l,yke()|0,2),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function yke(){return 1300}function Eke(s,l,c,f){s=s|0,l=l|0,c=c|0,f=+f;var d=0,m=0,B=0,k=0;d=C,C=C+16|0,m=d+8|0,B=d,k=Cke(s)|0,s=n[k+4>>2]|0,n[B>>2]=n[k>>2],n[B+4>>2]=s,n[m>>2]=n[B>>2],n[m+4>>2]=n[B+4>>2],wke(l,m,c,f),C=d}function Cke(s){return s=s|0,(n[($F()|0)+24>>2]|0)+(s*12|0)|0}function wke(s,l,c,f){s=s|0,l=l|0,c=c|0,f=+f;var d=0,m=0,B=0,k=0;k=C,C=C+16|0,m=k+1|0,B=k,d=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(d=n[(n[s>>2]|0)+d>>2]|0),XA(m,c),m=ZA(m,c)|0,ku(B,f),f=+Qu(B,f),Q7[d&15](s,m,f),C=k}function Ike(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Bke(s,c,d,0),C=f}function Bke(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=eT()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=vke(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,Dke(m,f)|0,f),C=d}function eT(){var s=0,l=0;if(o[7776]|0||(W5(9828),tr(41,9828,U|0)|0,l=7776,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9828)|0)){s=9828,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));W5(9828)}return 9828}function vke(s){return s=s|0,0}function Dke(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=eT()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],Y5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(Pke(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function Y5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function Pke(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=Ske(s)|0,m>>>0>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,xke(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],Y5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,bke(s,k),kke(k),C=O;return}}function Ske(s){return s=s|0,357913941}function xke(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function bke(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function kke(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function W5(s){s=s|0,Tke(s)}function Qke(s){s=s|0,Fke(s+24|0)}function Fke(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function Tke(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,7,l,Rke()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function Rke(){return 1312}function Nke(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;f=C,C=C+16|0,d=f+8|0,m=f,B=Lke(s)|0,s=n[B+4>>2]|0,n[m>>2]=n[B>>2],n[m+4>>2]=s,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Mke(l,d,c),C=f}function Lke(s){return s=s|0,(n[(eT()|0)+24>>2]|0)+(s*12|0)|0}function Mke(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0;m=C,C=C+16|0,d=m,f=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(f=n[(n[s>>2]|0)+f>>2]|0),XA(d,c),d=ZA(d,c)|0,tf[f&31](s,d),C=m}function Oke(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Uke(s,c,d,0),C=f}function Uke(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=tT()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=_ke(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,Hke(m,f)|0,f),C=d}function tT(){var s=0,l=0;if(o[7784]|0||(K5(9864),tr(42,9864,U|0)|0,l=7784,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9864)|0)){s=9864,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));K5(9864)}return 9864}function _ke(s){return s=s|0,0}function Hke(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=tT()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],V5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(jke(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function V5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function jke(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=qke(s)|0,m>>>0>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,Gke(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],V5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,Yke(s,k),Wke(k),C=O;return}}function qke(s){return s=s|0,357913941}function Gke(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function Yke(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function Wke(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function K5(s){s=s|0,Jke(s)}function Vke(s){s=s|0,Kke(s+24|0)}function Kke(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function Jke(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,8,l,zke()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function zke(){return 1320}function Xke(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;f=C,C=C+16|0,d=f+8|0,m=f,B=Zke(s)|0,s=n[B+4>>2]|0,n[m>>2]=n[B>>2],n[m+4>>2]=s,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],$ke(l,d,c),C=f}function Zke(s){return s=s|0,(n[(tT()|0)+24>>2]|0)+(s*12|0)|0}function $ke(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0;m=C,C=C+16|0,d=m,f=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(f=n[(n[s>>2]|0)+f>>2]|0),eQe(d,c),d=tQe(d,c)|0,tf[f&31](s,d),C=m}function eQe(s,l){s=s|0,l=l|0}function tQe(s,l){return s=s|0,l=l|0,rQe(l)|0}function rQe(s){return s=s|0,s|0}function nQe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],iQe(s,c,d,0),C=f}function iQe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=rT()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=sQe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,oQe(m,f)|0,f),C=d}function rT(){var s=0,l=0;if(o[7792]|0||(z5(9900),tr(43,9900,U|0)|0,l=7792,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9900)|0)){s=9900,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));z5(9900)}return 9900}function sQe(s){return s=s|0,0}function oQe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=rT()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],J5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(aQe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function J5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function aQe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=lQe(s)|0,m>>>0>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,cQe(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],J5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,uQe(s,k),AQe(k),C=O;return}}function lQe(s){return s=s|0,357913941}function cQe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function uQe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function AQe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function z5(s){s=s|0,hQe(s)}function fQe(s){s=s|0,pQe(s+24|0)}function pQe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function hQe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,22,l,gQe()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function gQe(){return 1344}function dQe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0;c=C,C=C+16|0,f=c+8|0,d=c,m=mQe(s)|0,s=n[m+4>>2]|0,n[d>>2]=n[m>>2],n[d+4>>2]=s,n[f>>2]=n[d>>2],n[f+4>>2]=n[d+4>>2],yQe(l,f),C=c}function mQe(s){return s=s|0,(n[(rT()|0)+24>>2]|0)+(s*12|0)|0}function yQe(s,l){s=s|0,l=l|0;var c=0;c=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(c=n[(n[s>>2]|0)+c>>2]|0),ef[c&127](s)}function EQe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;m=n[s>>2]|0,d=nT()|0,s=CQe(c)|0,hn(m,l,d,s,wQe(c,f)|0,f)}function nT(){var s=0,l=0;if(o[7800]|0||(Z5(9936),tr(44,9936,U|0)|0,l=7800,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9936)|0)){s=9936,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));Z5(9936)}return 9936}function CQe(s){return s=s|0,s|0}function wQe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return k=C,C=C+16|0,d=k,m=k+4|0,n[d>>2]=s,Q=nT()|0,B=Q+24|0,l=gr(l,4)|0,n[m>>2]=l,c=Q+28|0,f=n[c>>2]|0,f>>>0<(n[Q+32>>2]|0)>>>0?(X5(f,s,l),l=(n[c>>2]|0)+8|0,n[c>>2]=l):(IQe(B,d,m),l=n[c>>2]|0),C=k,(l-(n[B>>2]|0)>>3)+-1|0}function X5(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c}function IQe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0;if(k=C,C=C+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=BQe(s)|0,f>>>0>>0)zr(s);else{Q=n[s>>2]|0,M=(n[s+8>>2]|0)-Q|0,O=M>>2,vQe(d,M>>3>>>0>>1>>>0?O>>>0>>0?B:O:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,X5(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,DQe(s,d),PQe(d),C=k;return}}function BQe(s){return s=s|0,536870911}function vQe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Tt();else{d=Vt(l<<3)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function DQe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function PQe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-8-l|0)>>>3)<<3)),s=n[s>>2]|0,s|0&>(s)}function Z5(s){s=s|0,bQe(s)}function SQe(s){s=s|0,xQe(s+24|0)}function xQe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function bQe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,1,23,l,P5()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function kQe(s,l){s=s|0,l=l|0,FQe(n[(QQe(s)|0)>>2]|0,l)}function QQe(s){return s=s|0,(n[(nT()|0)+24>>2]|0)+(s<<3)|0}function FQe(s,l){s=s|0,l=l|0;var c=0,f=0;c=C,C=C+16|0,f=c,qF(f,l),l=GF(f,l)|0,ef[s&127](l),C=c}function TQe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;m=n[s>>2]|0,d=iT()|0,s=RQe(c)|0,hn(m,l,d,s,NQe(c,f)|0,f)}function iT(){var s=0,l=0;if(o[7808]|0||(e9(9972),tr(45,9972,U|0)|0,l=7808,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9972)|0)){s=9972,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));e9(9972)}return 9972}function RQe(s){return s=s|0,s|0}function NQe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return k=C,C=C+16|0,d=k,m=k+4|0,n[d>>2]=s,Q=iT()|0,B=Q+24|0,l=gr(l,4)|0,n[m>>2]=l,c=Q+28|0,f=n[c>>2]|0,f>>>0<(n[Q+32>>2]|0)>>>0?($5(f,s,l),l=(n[c>>2]|0)+8|0,n[c>>2]=l):(LQe(B,d,m),l=n[c>>2]|0),C=k,(l-(n[B>>2]|0)>>3)+-1|0}function $5(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c}function LQe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0;if(k=C,C=C+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=MQe(s)|0,f>>>0>>0)zr(s);else{Q=n[s>>2]|0,M=(n[s+8>>2]|0)-Q|0,O=M>>2,OQe(d,M>>3>>>0>>1>>>0?O>>>0>>0?B:O:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,$5(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,UQe(s,d),_Qe(d),C=k;return}}function MQe(s){return s=s|0,536870911}function OQe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Tt();else{d=Vt(l<<3)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function UQe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function _Qe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-8-l|0)>>>3)<<3)),s=n[s>>2]|0,s|0&>(s)}function e9(s){s=s|0,qQe(s)}function HQe(s){s=s|0,jQe(s+24|0)}function jQe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function qQe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,1,9,l,GQe()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function GQe(){return 1348}function YQe(s,l){return s=s|0,l=l|0,VQe(n[(WQe(s)|0)>>2]|0,l)|0}function WQe(s){return s=s|0,(n[(iT()|0)+24>>2]|0)+(s<<3)|0}function VQe(s,l){s=s|0,l=l|0;var c=0,f=0;return c=C,C=C+16|0,f=c,t9(f,l),l=r9(f,l)|0,l=sD(Ng[s&31](l)|0)|0,C=c,l|0}function t9(s,l){s=s|0,l=l|0}function r9(s,l){return s=s|0,l=l|0,KQe(l)|0}function KQe(s){return s=s|0,s|0}function JQe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;m=n[s>>2]|0,d=sT()|0,s=zQe(c)|0,hn(m,l,d,s,XQe(c,f)|0,f)}function sT(){var s=0,l=0;if(o[7816]|0||(i9(10008),tr(46,10008,U|0)|0,l=7816,n[l>>2]=1,n[l+4>>2]=0),!(Rr(10008)|0)){s=10008,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));i9(10008)}return 10008}function zQe(s){return s=s|0,s|0}function XQe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return k=C,C=C+16|0,d=k,m=k+4|0,n[d>>2]=s,Q=sT()|0,B=Q+24|0,l=gr(l,4)|0,n[m>>2]=l,c=Q+28|0,f=n[c>>2]|0,f>>>0<(n[Q+32>>2]|0)>>>0?(n9(f,s,l),l=(n[c>>2]|0)+8|0,n[c>>2]=l):(ZQe(B,d,m),l=n[c>>2]|0),C=k,(l-(n[B>>2]|0)>>3)+-1|0}function n9(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c}function ZQe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0;if(k=C,C=C+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=$Qe(s)|0,f>>>0>>0)zr(s);else{Q=n[s>>2]|0,M=(n[s+8>>2]|0)-Q|0,O=M>>2,eFe(d,M>>3>>>0>>1>>>0?O>>>0>>0?B:O:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,n9(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,tFe(s,d),rFe(d),C=k;return}}function $Qe(s){return s=s|0,536870911}function eFe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Tt();else{d=Vt(l<<3)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function tFe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function rFe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-8-l|0)>>>3)<<3)),s=n[s>>2]|0,s|0&>(s)}function i9(s){s=s|0,sFe(s)}function nFe(s){s=s|0,iFe(s+24|0)}function iFe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function sFe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,1,15,l,C5()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function oFe(s){return s=s|0,lFe(n[(aFe(s)|0)>>2]|0)|0}function aFe(s){return s=s|0,(n[(sT()|0)+24>>2]|0)+(s<<3)|0}function lFe(s){return s=s|0,sD(CD[s&7]()|0)|0}function cFe(){var s=0;return o[7832]|0||(mFe(10052),tr(25,10052,U|0)|0,s=7832,n[s>>2]=1,n[s+4>>2]=0),10052}function uFe(s,l){s=s|0,l=l|0,n[s>>2]=AFe()|0,n[s+4>>2]=fFe()|0,n[s+12>>2]=l,n[s+8>>2]=pFe()|0,n[s+32>>2]=2}function AFe(){return 11709}function fFe(){return 1188}function pFe(){return aD()|0}function hFe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,(Sp(f,896)|0)==512?c|0&&(gFe(c),gt(c)):l|0&&(Pu(l),gt(l))}function Sp(s,l){return s=s|0,l=l|0,l&s|0}function gFe(s){s=s|0,s=n[s+4>>2]|0,s|0&&bp(s)}function aD(){var s=0;return o[7824]|0||(n[2511]=dFe()|0,n[2512]=0,s=7824,n[s>>2]=1,n[s+4>>2]=0),10044}function dFe(){return 0}function mFe(s){s=s|0,Bp(s)}function yFe(s){s=s|0;var l=0,c=0,f=0,d=0,m=0;l=C,C=C+32|0,c=l+24|0,m=l+16|0,d=l+8|0,f=l,EFe(s,4827),CFe(s,4834,3)|0,wFe(s,3682,47)|0,n[m>>2]=9,n[m+4>>2]=0,n[c>>2]=n[m>>2],n[c+4>>2]=n[m+4>>2],IFe(s,4841,c)|0,n[d>>2]=1,n[d+4>>2]=0,n[c>>2]=n[d>>2],n[c+4>>2]=n[d+4>>2],BFe(s,4871,c)|0,n[f>>2]=10,n[f+4>>2]=0,n[c>>2]=n[f>>2],n[c+4>>2]=n[f+4>>2],vFe(s,4891,c)|0,C=l}function EFe(s,l){s=s|0,l=l|0;var c=0;c=rRe()|0,n[s>>2]=c,nRe(c,l),xp(n[s>>2]|0)}function CFe(s,l,c){return s=s|0,l=l|0,c=c|0,_Te(s,pn(l)|0,c,0),s|0}function wFe(s,l,c){return s=s|0,l=l|0,c=c|0,DTe(s,pn(l)|0,c,0),s|0}function IFe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],oTe(s,l,d),C=f,s|0}function BFe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],HFe(s,l,d),C=f,s|0}function vFe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],DFe(s,l,d),C=f,s|0}function DFe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],PFe(s,c,d,1),C=f}function PFe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=oT()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=SFe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,xFe(m,f)|0,f),C=d}function oT(){var s=0,l=0;if(o[7840]|0||(o9(10100),tr(48,10100,U|0)|0,l=7840,n[l>>2]=1,n[l+4>>2]=0),!(Rr(10100)|0)){s=10100,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));o9(10100)}return 10100}function SFe(s){return s=s|0,0}function xFe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=oT()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],s9(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(bFe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function s9(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function bFe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=kFe(s)|0,m>>>0>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,QFe(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],s9(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,FFe(s,k),TFe(k),C=O;return}}function kFe(s){return s=s|0,357913941}function QFe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function FFe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function TFe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function o9(s){s=s|0,LFe(s)}function RFe(s){s=s|0,NFe(s+24|0)}function NFe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function LFe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,6,l,MFe()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function MFe(){return 1364}function OFe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=UFe(s)|0,s=n[B+4>>2]|0,n[m>>2]=n[B>>2],n[m+4>>2]=s,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],c=_Fe(l,d,c)|0,C=f,c|0}function UFe(s){return s=s|0,(n[(oT()|0)+24>>2]|0)+(s*12|0)|0}function _Fe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0;return m=C,C=C+16|0,d=m,f=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(f=n[(n[s>>2]|0)+f>>2]|0),XA(d,c),d=ZA(d,c)|0,d=p5(NT[f&15](s,d)|0)|0,C=m,d|0}function HFe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],jFe(s,c,d,0),C=f}function jFe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=aT()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=qFe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,GFe(m,f)|0,f),C=d}function aT(){var s=0,l=0;if(o[7848]|0||(l9(10136),tr(49,10136,U|0)|0,l=7848,n[l>>2]=1,n[l+4>>2]=0),!(Rr(10136)|0)){s=10136,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));l9(10136)}return 10136}function qFe(s){return s=s|0,0}function GFe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=aT()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],a9(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(YFe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function a9(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function YFe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=WFe(s)|0,m>>>0>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,VFe(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],a9(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,KFe(s,k),JFe(k),C=O;return}}function WFe(s){return s=s|0,357913941}function VFe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function KFe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function JFe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function l9(s){s=s|0,ZFe(s)}function zFe(s){s=s|0,XFe(s+24|0)}function XFe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function ZFe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,9,l,$Fe()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function $Fe(){return 1372}function eTe(s,l,c){s=s|0,l=l|0,c=+c;var f=0,d=0,m=0,B=0;f=C,C=C+16|0,d=f+8|0,m=f,B=tTe(s)|0,s=n[B+4>>2]|0,n[m>>2]=n[B>>2],n[m+4>>2]=s,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],rTe(l,d,c),C=f}function tTe(s){return s=s|0,(n[(aT()|0)+24>>2]|0)+(s*12|0)|0}function rTe(s,l,c){s=s|0,l=l|0,c=+c;var f=0,d=0,m=0,B=Ze;m=C,C=C+16|0,d=m,f=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(f=n[(n[s>>2]|0)+f>>2]|0),nTe(d,c),B=y(iTe(d,c)),I7[f&1](s,B),C=m}function nTe(s,l){s=s|0,l=+l}function iTe(s,l){return s=s|0,l=+l,y(sTe(l))}function sTe(s){return s=+s,y(s)}function oTe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],aTe(s,c,d,0),C=f}function aTe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=lT()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=lTe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,cTe(m,f)|0,f),C=d}function lT(){var s=0,l=0;if(o[7856]|0||(u9(10172),tr(50,10172,U|0)|0,l=7856,n[l>>2]=1,n[l+4>>2]=0),!(Rr(10172)|0)){s=10172,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));u9(10172)}return 10172}function lTe(s){return s=s|0,0}function cTe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=lT()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],c9(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(uTe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function c9(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function uTe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=ATe(s)|0,m>>>0>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,fTe(k,se>>>0>>1>>>0?q>>>0>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],c9(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,pTe(s,k),hTe(k),C=O;return}}function ATe(s){return s=s|0,357913941}function fTe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function pTe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function hTe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&>(s)}function u9(s){s=s|0,mTe(s)}function gTe(s){s=s|0,dTe(s+24|0)}function dTe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function mTe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,3,l,yTe()|0,2),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function yTe(){return 1380}function ETe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0;d=C,C=C+16|0,m=d+8|0,B=d,k=CTe(s)|0,s=n[k+4>>2]|0,n[B>>2]=n[k>>2],n[B+4>>2]=s,n[m>>2]=n[B>>2],n[m+4>>2]=n[B+4>>2],wTe(l,m,c,f),C=d}function CTe(s){return s=s|0,(n[(lT()|0)+24>>2]|0)+(s*12|0)|0}function wTe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0;k=C,C=C+16|0,m=k+1|0,B=k,d=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(d=n[(n[s>>2]|0)+d>>2]|0),XA(m,c),m=ZA(m,c)|0,ITe(B,f),B=BTe(B,f)|0,_w[d&15](s,m,B),C=k}function ITe(s,l){s=s|0,l=l|0}function BTe(s,l){return s=s|0,l=l|0,vTe(l)|0}function vTe(s){return s=s|0,(s|0)!=0|0}function DTe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;m=n[s>>2]|0,d=cT()|0,s=PTe(c)|0,hn(m,l,d,s,STe(c,f)|0,f)}function cT(){var s=0,l=0;if(o[7864]|0||(f9(10208),tr(51,10208,U|0)|0,l=7864,n[l>>2]=1,n[l+4>>2]=0),!(Rr(10208)|0)){s=10208,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));f9(10208)}return 10208}function PTe(s){return s=s|0,s|0}function STe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return k=C,C=C+16|0,d=k,m=k+4|0,n[d>>2]=s,Q=cT()|0,B=Q+24|0,l=gr(l,4)|0,n[m>>2]=l,c=Q+28|0,f=n[c>>2]|0,f>>>0<(n[Q+32>>2]|0)>>>0?(A9(f,s,l),l=(n[c>>2]|0)+8|0,n[c>>2]=l):(xTe(B,d,m),l=n[c>>2]|0),C=k,(l-(n[B>>2]|0)>>3)+-1|0}function A9(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c}function xTe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0;if(k=C,C=C+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=bTe(s)|0,f>>>0>>0)zr(s);else{Q=n[s>>2]|0,M=(n[s+8>>2]|0)-Q|0,O=M>>2,kTe(d,M>>3>>>0>>1>>>0?O>>>0>>0?B:O:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,A9(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,QTe(s,d),FTe(d),C=k;return}}function bTe(s){return s=s|0,536870911}function kTe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Tt();else{d=Vt(l<<3)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function QTe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function FTe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-8-l|0)>>>3)<<3)),s=n[s>>2]|0,s|0&>(s)}function f9(s){s=s|0,NTe(s)}function TTe(s){s=s|0,RTe(s+24|0)}function RTe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function NTe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,1,24,l,LTe()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function LTe(){return 1392}function MTe(s,l){s=s|0,l=l|0,UTe(n[(OTe(s)|0)>>2]|0,l)}function OTe(s){return s=s|0,(n[(cT()|0)+24>>2]|0)+(s<<3)|0}function UTe(s,l){s=s|0,l=l|0;var c=0,f=0;c=C,C=C+16|0,f=c,t9(f,l),l=r9(f,l)|0,ef[s&127](l),C=c}function _Te(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;m=n[s>>2]|0,d=uT()|0,s=HTe(c)|0,hn(m,l,d,s,jTe(c,f)|0,f)}function uT(){var s=0,l=0;if(o[7872]|0||(h9(10244),tr(52,10244,U|0)|0,l=7872,n[l>>2]=1,n[l+4>>2]=0),!(Rr(10244)|0)){s=10244,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));h9(10244)}return 10244}function HTe(s){return s=s|0,s|0}function jTe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return k=C,C=C+16|0,d=k,m=k+4|0,n[d>>2]=s,Q=uT()|0,B=Q+24|0,l=gr(l,4)|0,n[m>>2]=l,c=Q+28|0,f=n[c>>2]|0,f>>>0<(n[Q+32>>2]|0)>>>0?(p9(f,s,l),l=(n[c>>2]|0)+8|0,n[c>>2]=l):(qTe(B,d,m),l=n[c>>2]|0),C=k,(l-(n[B>>2]|0)>>3)+-1|0}function p9(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c}function qTe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0;if(k=C,C=C+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=GTe(s)|0,f>>>0>>0)zr(s);else{Q=n[s>>2]|0,M=(n[s+8>>2]|0)-Q|0,O=M>>2,YTe(d,M>>3>>>0>>1>>>0?O>>>0>>0?B:O:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,p9(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,WTe(s,d),VTe(d),C=k;return}}function GTe(s){return s=s|0,536870911}function YTe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Tt();else{d=Vt(l<<3)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function WTe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function VTe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-8-l|0)>>>3)<<3)),s=n[s>>2]|0,s|0&>(s)}function h9(s){s=s|0,zTe(s)}function KTe(s){s=s|0,JTe(s+24|0)}function JTe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function zTe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,1,16,l,XTe()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function XTe(){return 1400}function ZTe(s){return s=s|0,eRe(n[($Te(s)|0)>>2]|0)|0}function $Te(s){return s=s|0,(n[(uT()|0)+24>>2]|0)+(s<<3)|0}function eRe(s){return s=s|0,tRe(CD[s&7]()|0)|0}function tRe(s){return s=s|0,s|0}function rRe(){var s=0;return o[7880]|0||(cRe(10280),tr(25,10280,U|0)|0,s=7880,n[s>>2]=1,n[s+4>>2]=0),10280}function nRe(s,l){s=s|0,l=l|0,n[s>>2]=iRe()|0,n[s+4>>2]=sRe()|0,n[s+12>>2]=l,n[s+8>>2]=oRe()|0,n[s+32>>2]=4}function iRe(){return 11711}function sRe(){return 1356}function oRe(){return aD()|0}function aRe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,(Sp(f,896)|0)==512?c|0&&(lRe(c),gt(c)):l|0&&(vg(l),gt(l))}function lRe(s){s=s|0,s=n[s+4>>2]|0,s|0&&bp(s)}function cRe(s){s=s|0,Bp(s)}function uRe(s){s=s|0,ARe(s,4920),fRe(s)|0,pRe(s)|0}function ARe(s,l){s=s|0,l=l|0;var c=0;c=L5()|0,n[s>>2]=c,RRe(c,l),xp(n[s>>2]|0)}function fRe(s){s=s|0;var l=0;return l=n[s>>2]|0,bg(l,vRe()|0),s|0}function pRe(s){s=s|0;var l=0;return l=n[s>>2]|0,bg(l,hRe()|0),s|0}function hRe(){var s=0;return o[7888]|0||(g9(10328),tr(53,10328,U|0)|0,s=7888,n[s>>2]=1,n[s+4>>2]=0),Rr(10328)|0||g9(10328),10328}function bg(s,l){s=s|0,l=l|0,hn(s,0,l,0,0,0)}function g9(s){s=s|0,mRe(s),kg(s,10)}function gRe(s){s=s|0,dRe(s+24|0)}function dRe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function mRe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,5,1,l,wRe()|0,2),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function yRe(s,l,c){s=s|0,l=l|0,c=+c,ERe(s,l,c)}function kg(s,l){s=s|0,l=l|0,n[s+20>>2]=l}function ERe(s,l,c){s=s|0,l=l|0,c=+c;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,m=f+8|0,k=f+13|0,d=f,B=f+12|0,XA(k,l),n[m>>2]=ZA(k,l)|0,ku(B,c),E[d>>3]=+Qu(B,c),CRe(s,m,d),C=f}function CRe(s,l,c){s=s|0,l=l|0,c=c|0,Y(s+8|0,n[l>>2]|0,+E[c>>3]),o[s+24>>0]=1}function wRe(){return 1404}function IRe(s,l){return s=s|0,l=+l,BRe(s,l)|0}function BRe(s,l){s=s|0,l=+l;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return f=C,C=C+16|0,m=f+4|0,B=f+8|0,k=f,d=Wa(8)|0,c=d,Q=Vt(16)|0,XA(m,s),s=ZA(m,s)|0,ku(B,l),Y(Q,s,+Qu(B,l)),B=c+4|0,n[B>>2]=Q,s=Vt(8)|0,B=n[B>>2]|0,n[k>>2]=0,n[m>>2]=n[k>>2],JF(s,B,m),n[d>>2]=s,C=f,c|0}function vRe(){var s=0;return o[7896]|0||(d9(10364),tr(54,10364,U|0)|0,s=7896,n[s>>2]=1,n[s+4>>2]=0),Rr(10364)|0||d9(10364),10364}function d9(s){s=s|0,SRe(s),kg(s,55)}function DRe(s){s=s|0,PRe(s+24|0)}function PRe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function SRe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,5,4,l,QRe()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function xRe(s){s=s|0,bRe(s)}function bRe(s){s=s|0,kRe(s)}function kRe(s){s=s|0,m9(s+8|0),o[s+24>>0]=1}function m9(s){s=s|0,n[s>>2]=0,E[s+8>>3]=0}function QRe(){return 1424}function FRe(){return TRe()|0}function TRe(){var s=0,l=0,c=0,f=0,d=0,m=0,B=0;return l=C,C=C+16|0,d=l+4|0,B=l,c=Wa(8)|0,s=c,f=Vt(16)|0,m9(f),m=s+4|0,n[m>>2]=f,f=Vt(8)|0,m=n[m>>2]|0,n[B>>2]=0,n[d>>2]=n[B>>2],JF(f,m,d),n[c>>2]=f,C=l,s|0}function RRe(s,l){s=s|0,l=l|0,n[s>>2]=NRe()|0,n[s+4>>2]=LRe()|0,n[s+12>>2]=l,n[s+8>>2]=MRe()|0,n[s+32>>2]=5}function NRe(){return 11710}function LRe(){return 1416}function MRe(){return lD()|0}function ORe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,(Sp(f,896)|0)==512?c|0&&(URe(c),gt(c)):l|0&>(l)}function URe(s){s=s|0,s=n[s+4>>2]|0,s|0&&bp(s)}function lD(){var s=0;return o[7904]|0||(n[2600]=_Re()|0,n[2601]=0,s=7904,n[s>>2]=1,n[s+4>>2]=0),10400}function _Re(){return n[357]|0}function HRe(s){s=s|0,jRe(s,4926),qRe(s)|0}function jRe(s,l){s=s|0,l=l|0;var c=0;c=s5()|0,n[s>>2]=c,eNe(c,l),xp(n[s>>2]|0)}function qRe(s){s=s|0;var l=0;return l=n[s>>2]|0,bg(l,GRe()|0),s|0}function GRe(){var s=0;return o[7912]|0||(y9(10412),tr(56,10412,U|0)|0,s=7912,n[s>>2]=1,n[s+4>>2]=0),Rr(10412)|0||y9(10412),10412}function y9(s){s=s|0,VRe(s),kg(s,57)}function YRe(s){s=s|0,WRe(s+24|0)}function WRe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function VRe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,5,5,l,XRe()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function KRe(s){s=s|0,JRe(s)}function JRe(s){s=s|0,zRe(s)}function zRe(s){s=s|0;var l=0,c=0;l=s+8|0,c=l+48|0;do n[l>>2]=0,l=l+4|0;while((l|0)<(c|0));o[s+56>>0]=1}function XRe(){return 1432}function ZRe(){return $Re()|0}function $Re(){var s=0,l=0,c=0,f=0,d=0,m=0,B=0,k=0;B=C,C=C+16|0,s=B+4|0,l=B,c=Wa(8)|0,f=c,d=Vt(48)|0,m=d,k=m+48|0;do n[m>>2]=0,m=m+4|0;while((m|0)<(k|0));return m=f+4|0,n[m>>2]=d,k=Vt(8)|0,m=n[m>>2]|0,n[l>>2]=0,n[s>>2]=n[l>>2],o5(k,m,s),n[c>>2]=k,C=B,f|0}function eNe(s,l){s=s|0,l=l|0,n[s>>2]=tNe()|0,n[s+4>>2]=rNe()|0,n[s+12>>2]=l,n[s+8>>2]=nNe()|0,n[s+32>>2]=6}function tNe(){return 11704}function rNe(){return 1436}function nNe(){return lD()|0}function iNe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,(Sp(f,896)|0)==512?c|0&&(sNe(c),gt(c)):l|0&>(l)}function sNe(s){s=s|0,s=n[s+4>>2]|0,s|0&&bp(s)}function oNe(s){s=s|0,aNe(s,4933),lNe(s)|0,cNe(s)|0}function aNe(s,l){s=s|0,l=l|0;var c=0;c=TNe()|0,n[s>>2]=c,RNe(c,l),xp(n[s>>2]|0)}function lNe(s){s=s|0;var l=0;return l=n[s>>2]|0,bg(l,BNe()|0),s|0}function cNe(s){s=s|0;var l=0;return l=n[s>>2]|0,bg(l,uNe()|0),s|0}function uNe(){var s=0;return o[7920]|0||(E9(10452),tr(58,10452,U|0)|0,s=7920,n[s>>2]=1,n[s+4>>2]=0),Rr(10452)|0||E9(10452),10452}function E9(s){s=s|0,pNe(s),kg(s,1)}function ANe(s){s=s|0,fNe(s+24|0)}function fNe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function pNe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,5,1,l,mNe()|0,2),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function hNe(s,l,c){s=s|0,l=+l,c=+c,gNe(s,l,c)}function gNe(s,l,c){s=s|0,l=+l,c=+c;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+32|0,m=f+8|0,k=f+17|0,d=f,B=f+16|0,ku(k,l),E[m>>3]=+Qu(k,l),ku(B,c),E[d>>3]=+Qu(B,c),dNe(s,m,d),C=f}function dNe(s,l,c){s=s|0,l=l|0,c=c|0,C9(s+8|0,+E[l>>3],+E[c>>3]),o[s+24>>0]=1}function C9(s,l,c){s=s|0,l=+l,c=+c,E[s>>3]=l,E[s+8>>3]=c}function mNe(){return 1472}function yNe(s,l){return s=+s,l=+l,ENe(s,l)|0}function ENe(s,l){s=+s,l=+l;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return f=C,C=C+16|0,B=f+4|0,k=f+8|0,Q=f,d=Wa(8)|0,c=d,m=Vt(16)|0,ku(B,s),s=+Qu(B,s),ku(k,l),C9(m,s,+Qu(k,l)),k=c+4|0,n[k>>2]=m,m=Vt(8)|0,k=n[k>>2]|0,n[Q>>2]=0,n[B>>2]=n[Q>>2],w9(m,k,B),n[d>>2]=m,C=f,c|0}function w9(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,c=Vt(16)|0,n[c+4>>2]=0,n[c+8>>2]=0,n[c>>2]=1452,n[c+12>>2]=l,n[s+4>>2]=c}function CNe(s){s=s|0,Jm(s),gt(s)}function wNe(s){s=s|0,s=n[s+12>>2]|0,s|0&>(s)}function INe(s){s=s|0,gt(s)}function BNe(){var s=0;return o[7928]|0||(I9(10488),tr(59,10488,U|0)|0,s=7928,n[s>>2]=1,n[s+4>>2]=0),Rr(10488)|0||I9(10488),10488}function I9(s){s=s|0,PNe(s),kg(s,60)}function vNe(s){s=s|0,DNe(s+24|0)}function DNe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function PNe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,5,6,l,kNe()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function SNe(s){s=s|0,xNe(s)}function xNe(s){s=s|0,bNe(s)}function bNe(s){s=s|0,B9(s+8|0),o[s+24>>0]=1}function B9(s){s=s|0,n[s>>2]=0,n[s+4>>2]=0,n[s+8>>2]=0,n[s+12>>2]=0}function kNe(){return 1492}function QNe(){return FNe()|0}function FNe(){var s=0,l=0,c=0,f=0,d=0,m=0,B=0;return l=C,C=C+16|0,d=l+4|0,B=l,c=Wa(8)|0,s=c,f=Vt(16)|0,B9(f),m=s+4|0,n[m>>2]=f,f=Vt(8)|0,m=n[m>>2]|0,n[B>>2]=0,n[d>>2]=n[B>>2],w9(f,m,d),n[c>>2]=f,C=l,s|0}function TNe(){var s=0;return o[7936]|0||(_Ne(10524),tr(25,10524,U|0)|0,s=7936,n[s>>2]=1,n[s+4>>2]=0),10524}function RNe(s,l){s=s|0,l=l|0,n[s>>2]=NNe()|0,n[s+4>>2]=LNe()|0,n[s+12>>2]=l,n[s+8>>2]=MNe()|0,n[s+32>>2]=7}function NNe(){return 11700}function LNe(){return 1484}function MNe(){return lD()|0}function ONe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,(Sp(f,896)|0)==512?c|0&&(UNe(c),gt(c)):l|0&>(l)}function UNe(s){s=s|0,s=n[s+4>>2]|0,s|0&&bp(s)}function _Ne(s){s=s|0,Bp(s)}function HNe(s,l,c){s=s|0,l=l|0,c=c|0,s=pn(l)|0,l=jNe(c)|0,c=qNe(c,0)|0,ELe(s,l,c,AT()|0,0)}function jNe(s){return s=s|0,s|0}function qNe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return k=C,C=C+16|0,d=k,m=k+4|0,n[d>>2]=s,Q=AT()|0,B=Q+24|0,l=gr(l,4)|0,n[m>>2]=l,c=Q+28|0,f=n[c>>2]|0,f>>>0<(n[Q+32>>2]|0)>>>0?(D9(f,s,l),l=(n[c>>2]|0)+8|0,n[c>>2]=l):(zNe(B,d,m),l=n[c>>2]|0),C=k,(l-(n[B>>2]|0)>>3)+-1|0}function AT(){var s=0,l=0;if(o[7944]|0||(v9(10568),tr(61,10568,U|0)|0,l=7944,n[l>>2]=1,n[l+4>>2]=0),!(Rr(10568)|0)){s=10568,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));v9(10568)}return 10568}function v9(s){s=s|0,WNe(s)}function GNe(s){s=s|0,YNe(s+24|0)}function YNe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function WNe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,1,17,l,B5()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function VNe(s){return s=s|0,JNe(n[(KNe(s)|0)>>2]|0)|0}function KNe(s){return s=s|0,(n[(AT()|0)+24>>2]|0)+(s<<3)|0}function JNe(s){return s=s|0,oD(CD[s&7]()|0)|0}function D9(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c}function zNe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0;if(k=C,C=C+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=XNe(s)|0,f>>>0>>0)zr(s);else{Q=n[s>>2]|0,M=(n[s+8>>2]|0)-Q|0,O=M>>2,ZNe(d,M>>3>>>0>>1>>>0?O>>>0>>0?B:O:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,D9(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,$Ne(s,d),eLe(d),C=k;return}}function XNe(s){return s=s|0,536870911}function ZNe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Tt();else{d=Vt(l<<3)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function $Ne(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function eLe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-8-l|0)>>>3)<<3)),s=n[s>>2]|0,s|0&>(s)}function tLe(){rLe()}function rLe(){nLe(10604)}function nLe(s){s=s|0,iLe(s,4955)}function iLe(s,l){s=s|0,l=l|0;var c=0;c=sLe()|0,n[s>>2]=c,oLe(c,l),xp(n[s>>2]|0)}function sLe(){var s=0;return o[7952]|0||(gLe(10612),tr(25,10612,U|0)|0,s=7952,n[s>>2]=1,n[s+4>>2]=0),10612}function oLe(s,l){s=s|0,l=l|0,n[s>>2]=uLe()|0,n[s+4>>2]=ALe()|0,n[s+12>>2]=l,n[s+8>>2]=fLe()|0,n[s+32>>2]=8}function xp(s){s=s|0;var l=0,c=0;l=C,C=C+16|0,c=l,Gm()|0,n[c>>2]=s,aLe(10608,c),C=l}function Gm(){return o[11714]|0||(n[2652]=0,tr(62,10608,U|0)|0,o[11714]=1),10608}function aLe(s,l){s=s|0,l=l|0;var c=0;c=Vt(8)|0,n[c+4>>2]=n[l>>2],n[c>>2]=n[s>>2],n[s>>2]=c}function lLe(s){s=s|0,cLe(s)}function cLe(s){s=s|0;var l=0,c=0;if(l=n[s>>2]|0,l|0)do c=l,l=n[l>>2]|0,gt(c);while((l|0)!=0);n[s>>2]=0}function uLe(){return 11715}function ALe(){return 1496}function fLe(){return aD()|0}function pLe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,(Sp(f,896)|0)==512?c|0&&(hLe(c),gt(c)):l|0&>(l)}function hLe(s){s=s|0,s=n[s+4>>2]|0,s|0&&bp(s)}function gLe(s){s=s|0,Bp(s)}function dLe(s,l){s=s|0,l=l|0;var c=0,f=0;Gm()|0,c=n[2652]|0;e:do if(c|0){for(;f=n[c+4>>2]|0,!(f|0&&(o7(fT(f)|0,s)|0)==0);)if(c=n[c>>2]|0,!c)break e;mLe(f,l)}while(0)}function fT(s){return s=s|0,n[s+12>>2]|0}function mLe(s,l){s=s|0,l=l|0;var c=0;s=s+36|0,c=n[s>>2]|0,c|0&&(jA(c),gt(c)),c=Vt(4)|0,$G(c,l),n[s>>2]=c}function pT(){return o[11716]|0||(n[2664]=0,tr(63,10656,U|0)|0,o[11716]=1),10656}function P9(){var s=0;return o[11717]|0?s=n[2665]|0:(yLe(),n[2665]=1504,o[11717]=1,s=1504),s|0}function yLe(){o[11740]|0||(o[11718]=gr(gr(8,0)|0,0)|0,o[11719]=gr(gr(0,0)|0,0)|0,o[11720]=gr(gr(0,16)|0,0)|0,o[11721]=gr(gr(8,0)|0,0)|0,o[11722]=gr(gr(0,0)|0,0)|0,o[11723]=gr(gr(8,0)|0,0)|0,o[11724]=gr(gr(0,0)|0,0)|0,o[11725]=gr(gr(8,0)|0,0)|0,o[11726]=gr(gr(0,0)|0,0)|0,o[11727]=gr(gr(8,0)|0,0)|0,o[11728]=gr(gr(0,0)|0,0)|0,o[11729]=gr(gr(0,0)|0,32)|0,o[11730]=gr(gr(0,0)|0,32)|0,o[11740]=1)}function S9(){return 1572}function ELe(s,l,c,f,d){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0;var m=0,B=0,k=0,Q=0,O=0,M=0;m=C,C=C+32|0,M=m+16|0,O=m+12|0,Q=m+8|0,k=m+4|0,B=m,n[M>>2]=s,n[O>>2]=l,n[Q>>2]=c,n[k>>2]=f,n[B>>2]=d,pT()|0,CLe(10656,M,O,Q,k,B),C=m}function CLe(s,l,c,f,d,m){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0;var B=0;B=Vt(24)|0,r5(B+4|0,n[l>>2]|0,n[c>>2]|0,n[f>>2]|0,n[d>>2]|0,n[m>>2]|0),n[B>>2]=n[s>>2],n[s>>2]=B}function x9(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0,Ge=0,Oe=0,Fe=0,et=0,Xe=0,at=0;if(at=C,C=C+32|0,Oe=at+20|0,Fe=at+8|0,et=at+4|0,Xe=at,l=n[l>>2]|0,l|0){Ge=Oe+4|0,Q=Oe+8|0,O=Fe+4|0,M=Fe+8|0,q=Fe+8|0,se=Oe+8|0;do{if(B=l+4|0,k=hT(B)|0,k|0){if(d=Rw(k)|0,n[Oe>>2]=0,n[Ge>>2]=0,n[Q>>2]=0,f=(Nw(k)|0)+1|0,wLe(Oe,f),f|0)for(;f=f+-1|0,xc(Fe,n[d>>2]|0),m=n[Ge>>2]|0,m>>>0<(n[se>>2]|0)>>>0?(n[m>>2]=n[Fe>>2],n[Ge>>2]=(n[Ge>>2]|0)+4):gT(Oe,Fe),f;)d=d+4|0;f=Lw(k)|0,n[Fe>>2]=0,n[O>>2]=0,n[M>>2]=0;e:do if(n[f>>2]|0)for(d=0,m=0;;){if((d|0)==(m|0)?ILe(Fe,f):(n[d>>2]=n[f>>2],n[O>>2]=(n[O>>2]|0)+4),f=f+4|0,!(n[f>>2]|0))break e;d=n[O>>2]|0,m=n[q>>2]|0}while(0);n[et>>2]=cD(B)|0,n[Xe>>2]=Rr(k)|0,BLe(c,s,et,Xe,Oe,Fe),dT(Fe),$A(Oe)}l=n[l>>2]|0}while((l|0)!=0)}C=at}function hT(s){return s=s|0,n[s+12>>2]|0}function Rw(s){return s=s|0,n[s+12>>2]|0}function Nw(s){return s=s|0,n[s+16>>2]|0}function wLe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0;d=C,C=C+32|0,c=d,f=n[s>>2]|0,(n[s+8>>2]|0)-f>>2>>>0>>0&&(L9(c,l,(n[s+4>>2]|0)-f>>2,s+8|0),M9(s,c),O9(c)),C=d}function gT(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0;if(B=C,C=C+32|0,c=B,f=s+4|0,d=((n[f>>2]|0)-(n[s>>2]|0)>>2)+1|0,m=N9(s)|0,m>>>0>>0)zr(s);else{k=n[s>>2]|0,O=(n[s+8>>2]|0)-k|0,Q=O>>1,L9(c,O>>2>>>0>>1>>>0?Q>>>0>>0?d:Q:m,(n[f>>2]|0)-k>>2,s+8|0),m=c+8|0,n[n[m>>2]>>2]=n[l>>2],n[m>>2]=(n[m>>2]|0)+4,M9(s,c),O9(c),C=B;return}}function Lw(s){return s=s|0,n[s+8>>2]|0}function ILe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0;if(B=C,C=C+32|0,c=B,f=s+4|0,d=((n[f>>2]|0)-(n[s>>2]|0)>>2)+1|0,m=R9(s)|0,m>>>0>>0)zr(s);else{k=n[s>>2]|0,O=(n[s+8>>2]|0)-k|0,Q=O>>1,jLe(c,O>>2>>>0>>1>>>0?Q>>>0>>0?d:Q:m,(n[f>>2]|0)-k>>2,s+8|0),m=c+8|0,n[n[m>>2]>>2]=n[l>>2],n[m>>2]=(n[m>>2]|0)+4,qLe(s,c),GLe(c),C=B;return}}function cD(s){return s=s|0,n[s>>2]|0}function BLe(s,l,c,f,d,m){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0,vLe(s,l,c,f,d,m)}function dT(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-4-f|0)>>>2)<<2)),gt(c))}function $A(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-4-f|0)>>>2)<<2)),gt(c))}function vLe(s,l,c,f,d,m){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0;var B=0,k=0,Q=0,O=0,M=0,q=0;B=C,C=C+48|0,M=B+40|0,k=B+32|0,q=B+24|0,Q=B+12|0,O=B,Va(k),s=da(s)|0,n[q>>2]=n[l>>2],c=n[c>>2]|0,f=n[f>>2]|0,mT(Q,d),DLe(O,m),n[M>>2]=n[q>>2],PLe(s,M,c,f,Q,O),dT(O),$A(Q),Ka(k),C=B}function mT(s,l){s=s|0,l=l|0;var c=0,f=0;n[s>>2]=0,n[s+4>>2]=0,n[s+8>>2]=0,c=l+4|0,f=(n[c>>2]|0)-(n[l>>2]|0)>>2,f|0&&(_Le(s,f),HLe(s,n[l>>2]|0,n[c>>2]|0,f))}function DLe(s,l){s=s|0,l=l|0;var c=0,f=0;n[s>>2]=0,n[s+4>>2]=0,n[s+8>>2]=0,c=l+4|0,f=(n[c>>2]|0)-(n[l>>2]|0)>>2,f|0&&(OLe(s,f),ULe(s,n[l>>2]|0,n[c>>2]|0,f))}function PLe(s,l,c,f,d,m){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0;var B=0,k=0,Q=0,O=0,M=0,q=0;B=C,C=C+32|0,M=B+28|0,q=B+24|0,k=B+12|0,Q=B,O=Pl(SLe()|0)|0,n[q>>2]=n[l>>2],n[M>>2]=n[q>>2],l=Qg(M)|0,c=b9(c)|0,f=yT(f)|0,n[k>>2]=n[d>>2],M=d+4|0,n[k+4>>2]=n[M>>2],q=d+8|0,n[k+8>>2]=n[q>>2],n[q>>2]=0,n[M>>2]=0,n[d>>2]=0,d=ET(k)|0,n[Q>>2]=n[m>>2],M=m+4|0,n[Q+4>>2]=n[M>>2],q=m+8|0,n[Q+8>>2]=n[q>>2],n[q>>2]=0,n[M>>2]=0,n[m>>2]=0,ao(0,O|0,s|0,l|0,c|0,f|0,d|0,xLe(Q)|0)|0,dT(Q),$A(k),C=B}function SLe(){var s=0;return o[7968]|0||(LLe(10708),s=7968,n[s>>2]=1,n[s+4>>2]=0),10708}function Qg(s){return s=s|0,Q9(s)|0}function b9(s){return s=s|0,k9(s)|0}function yT(s){return s=s|0,oD(s)|0}function ET(s){return s=s|0,kLe(s)|0}function xLe(s){return s=s|0,bLe(s)|0}function bLe(s){s=s|0;var l=0,c=0,f=0;if(f=(n[s+4>>2]|0)-(n[s>>2]|0)|0,c=f>>2,f=Wa(f+4|0)|0,n[f>>2]=c,c|0){l=0;do n[f+4+(l<<2)>>2]=k9(n[(n[s>>2]|0)+(l<<2)>>2]|0)|0,l=l+1|0;while((l|0)!=(c|0))}return f|0}function k9(s){return s=s|0,s|0}function kLe(s){s=s|0;var l=0,c=0,f=0;if(f=(n[s+4>>2]|0)-(n[s>>2]|0)|0,c=f>>2,f=Wa(f+4|0)|0,n[f>>2]=c,c|0){l=0;do n[f+4+(l<<2)>>2]=Q9((n[s>>2]|0)+(l<<2)|0)|0,l=l+1|0;while((l|0)!=(c|0))}return f|0}function Q9(s){s=s|0;var l=0,c=0,f=0,d=0;return d=C,C=C+32|0,l=d+12|0,c=d,f=QF(F9()|0)|0,f?(FF(l,f),TF(c,l),fUe(s,c),s=RF(l)|0):s=QLe(s)|0,C=d,s|0}function F9(){var s=0;return o[7960]|0||(NLe(10664),tr(25,10664,U|0)|0,s=7960,n[s>>2]=1,n[s+4>>2]=0),10664}function QLe(s){s=s|0;var l=0,c=0,f=0,d=0,m=0,B=0,k=0;return c=C,C=C+16|0,d=c+4|0,B=c,f=Wa(8)|0,l=f,k=Vt(4)|0,n[k>>2]=n[s>>2],m=l+4|0,n[m>>2]=k,s=Vt(8)|0,m=n[m>>2]|0,n[B>>2]=0,n[d>>2]=n[B>>2],T9(s,m,d),n[f>>2]=s,C=c,l|0}function T9(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,c=Vt(16)|0,n[c+4>>2]=0,n[c+8>>2]=0,n[c>>2]=1656,n[c+12>>2]=l,n[s+4>>2]=c}function FLe(s){s=s|0,Jm(s),gt(s)}function TLe(s){s=s|0,s=n[s+12>>2]|0,s|0&>(s)}function RLe(s){s=s|0,gt(s)}function NLe(s){s=s|0,Bp(s)}function LLe(s){s=s|0,Sl(s,MLe()|0,5)}function MLe(){return 1676}function OLe(s,l){s=s|0,l=l|0;var c=0;if((R9(s)|0)>>>0>>0&&zr(s),l>>>0>1073741823)Tt();else{c=Vt(l<<2)|0,n[s+4>>2]=c,n[s>>2]=c,n[s+8>>2]=c+(l<<2);return}}function ULe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,f=s+4|0,s=c-l|0,(s|0)>0&&(Dr(n[f>>2]|0,l|0,s|0)|0,n[f>>2]=(n[f>>2]|0)+(s>>>2<<2))}function R9(s){return s=s|0,1073741823}function _Le(s,l){s=s|0,l=l|0;var c=0;if((N9(s)|0)>>>0>>0&&zr(s),l>>>0>1073741823)Tt();else{c=Vt(l<<2)|0,n[s+4>>2]=c,n[s>>2]=c,n[s+8>>2]=c+(l<<2);return}}function HLe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,f=s+4|0,s=c-l|0,(s|0)>0&&(Dr(n[f>>2]|0,l|0,s|0)|0,n[f>>2]=(n[f>>2]|0)+(s>>>2<<2))}function N9(s){return s=s|0,1073741823}function jLe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>1073741823)Tt();else{d=Vt(l<<2)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<2)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<2)}function qLe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>2)<<2)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function GLe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-4-l|0)>>>2)<<2)),s=n[s>>2]|0,s|0&>(s)}function L9(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>1073741823)Tt();else{d=Vt(l<<2)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<2)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<2)}function M9(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>2)<<2)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function O9(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-4-l|0)>>>2)<<2)),s=n[s>>2]|0,s|0&>(s)}function YLe(s,l,c,f,d){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0;var m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0,Ge=0,Oe=0,Fe=0;if(Fe=C,C=C+32|0,M=Fe+20|0,q=Fe+12|0,O=Fe+16|0,se=Fe+4|0,Ge=Fe,Oe=Fe+8|0,k=P9()|0,m=n[k>>2]|0,B=n[m>>2]|0,B|0)for(Q=n[k+8>>2]|0,k=n[k+4>>2]|0;xc(M,B),WLe(s,M,k,Q),m=m+4|0,B=n[m>>2]|0,B;)Q=Q+1|0,k=k+1|0;if(m=S9()|0,B=n[m>>2]|0,B|0)do xc(M,B),n[q>>2]=n[m+4>>2],VLe(l,M,q),m=m+8|0,B=n[m>>2]|0;while((B|0)!=0);if(m=n[(Gm()|0)>>2]|0,m|0)do l=n[m+4>>2]|0,xc(M,n[(Ym(l)|0)>>2]|0),n[q>>2]=fT(l)|0,KLe(c,M,q),m=n[m>>2]|0;while((m|0)!=0);if(xc(O,0),m=pT()|0,n[M>>2]=n[O>>2],x9(M,m,d),m=n[(Gm()|0)>>2]|0,m|0){s=M+4|0,l=M+8|0,c=M+8|0;do{if(Q=n[m+4>>2]|0,xc(q,n[(Ym(Q)|0)>>2]|0),JLe(se,U9(Q)|0),B=n[se>>2]|0,B|0){n[M>>2]=0,n[s>>2]=0,n[l>>2]=0;do xc(Ge,n[(Ym(n[B+4>>2]|0)|0)>>2]|0),k=n[s>>2]|0,k>>>0<(n[c>>2]|0)>>>0?(n[k>>2]=n[Ge>>2],n[s>>2]=(n[s>>2]|0)+4):gT(M,Ge),B=n[B>>2]|0;while((B|0)!=0);zLe(f,q,M),$A(M)}n[Oe>>2]=n[q>>2],O=_9(Q)|0,n[M>>2]=n[Oe>>2],x9(M,O,d),l5(se),m=n[m>>2]|0}while((m|0)!=0)}C=Fe}function WLe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,lMe(s,l,c,f)}function VLe(s,l,c){s=s|0,l=l|0,c=c|0,aMe(s,l,c)}function Ym(s){return s=s|0,s|0}function KLe(s,l,c){s=s|0,l=l|0,c=c|0,nMe(s,l,c)}function U9(s){return s=s|0,s+16|0}function JLe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;if(m=C,C=C+16|0,d=m+8|0,c=m,n[s>>2]=0,f=n[l>>2]|0,n[d>>2]=f,n[c>>2]=s,c=rMe(c)|0,f|0){if(f=Vt(12)|0,B=(H9(d)|0)+4|0,s=n[B+4>>2]|0,l=f+4|0,n[l>>2]=n[B>>2],n[l+4>>2]=s,l=n[n[d>>2]>>2]|0,n[d>>2]=l,!l)s=f;else for(l=f;s=Vt(12)|0,Q=(H9(d)|0)+4|0,k=n[Q+4>>2]|0,B=s+4|0,n[B>>2]=n[Q>>2],n[B+4>>2]=k,n[l>>2]=s,B=n[n[d>>2]>>2]|0,n[d>>2]=B,B;)l=s;n[s>>2]=n[c>>2],n[c>>2]=f}C=m}function zLe(s,l,c){s=s|0,l=l|0,c=c|0,XLe(s,l,c)}function _9(s){return s=s|0,s+24|0}function XLe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+32|0,B=f+24|0,d=f+16|0,k=f+12|0,m=f,Va(d),s=da(s)|0,n[k>>2]=n[l>>2],mT(m,c),n[B>>2]=n[k>>2],ZLe(s,B,m),$A(m),Ka(d),C=f}function ZLe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+32|0,B=f+16|0,k=f+12|0,d=f,m=Pl($Le()|0)|0,n[k>>2]=n[l>>2],n[B>>2]=n[k>>2],l=Qg(B)|0,n[d>>2]=n[c>>2],B=c+4|0,n[d+4>>2]=n[B>>2],k=c+8|0,n[d+8>>2]=n[k>>2],n[k>>2]=0,n[B>>2]=0,n[c>>2]=0,oo(0,m|0,s|0,l|0,ET(d)|0)|0,$A(d),C=f}function $Le(){var s=0;return o[7976]|0||(eMe(10720),s=7976,n[s>>2]=1,n[s+4>>2]=0),10720}function eMe(s){s=s|0,Sl(s,tMe()|0,2)}function tMe(){return 1732}function rMe(s){return s=s|0,n[s>>2]|0}function H9(s){return s=s|0,n[s>>2]|0}function nMe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;f=C,C=C+32|0,m=f+16|0,d=f+8|0,B=f,Va(d),s=da(s)|0,n[B>>2]=n[l>>2],c=n[c>>2]|0,n[m>>2]=n[B>>2],j9(s,m,c),Ka(d),C=f}function j9(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;f=C,C=C+16|0,m=f+4|0,B=f,d=Pl(iMe()|0)|0,n[B>>2]=n[l>>2],n[m>>2]=n[B>>2],l=Qg(m)|0,oo(0,d|0,s|0,l|0,b9(c)|0)|0,C=f}function iMe(){var s=0;return o[7984]|0||(sMe(10732),s=7984,n[s>>2]=1,n[s+4>>2]=0),10732}function sMe(s){s=s|0,Sl(s,oMe()|0,2)}function oMe(){return 1744}function aMe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;f=C,C=C+32|0,m=f+16|0,d=f+8|0,B=f,Va(d),s=da(s)|0,n[B>>2]=n[l>>2],c=n[c>>2]|0,n[m>>2]=n[B>>2],j9(s,m,c),Ka(d),C=f}function lMe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0;d=C,C=C+32|0,B=d+16|0,m=d+8|0,k=d,Va(m),s=da(s)|0,n[k>>2]=n[l>>2],c=o[c>>0]|0,f=o[f>>0]|0,n[B>>2]=n[k>>2],cMe(s,B,c,f),Ka(m),C=d}function cMe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0;d=C,C=C+16|0,B=d+4|0,k=d,m=Pl(uMe()|0)|0,n[k>>2]=n[l>>2],n[B>>2]=n[k>>2],l=Qg(B)|0,c=Wm(c)|0,pc(0,m|0,s|0,l|0,c|0,Wm(f)|0)|0,C=d}function uMe(){var s=0;return o[7992]|0||(fMe(10744),s=7992,n[s>>2]=1,n[s+4>>2]=0),10744}function Wm(s){return s=s|0,AMe(s)|0}function AMe(s){return s=s|0,s&255|0}function fMe(s){s=s|0,Sl(s,pMe()|0,3)}function pMe(){return 1756}function hMe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;switch(se=C,C=C+32|0,k=se+8|0,Q=se+4|0,O=se+20|0,M=se,OF(s,0),f=AUe(l)|0,n[k>>2]=0,q=k+4|0,n[q>>2]=0,n[k+8>>2]=0,f<<24>>24){case 0:{o[O>>0]=0,gMe(Q,c,O),uD(s,Q)|0,qA(Q);break}case 8:{q=DT(l)|0,o[O>>0]=8,xc(M,n[q+4>>2]|0),dMe(Q,c,O,M,q+8|0),uD(s,Q)|0,qA(Q);break}case 9:{if(m=DT(l)|0,l=n[m+4>>2]|0,l|0)for(B=k+8|0,d=m+12|0;l=l+-1|0,xc(Q,n[d>>2]|0),f=n[q>>2]|0,f>>>0<(n[B>>2]|0)>>>0?(n[f>>2]=n[Q>>2],n[q>>2]=(n[q>>2]|0)+4):gT(k,Q),l;)d=d+4|0;o[O>>0]=9,xc(M,n[m+8>>2]|0),mMe(Q,c,O,M,k),uD(s,Q)|0,qA(Q);break}default:q=DT(l)|0,o[O>>0]=f,xc(M,n[q+4>>2]|0),yMe(Q,c,O,M),uD(s,Q)|0,qA(Q)}$A(k),C=se}function gMe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0;f=C,C=C+16|0,d=f,Va(d),l=da(l)|0,QMe(s,l,o[c>>0]|0),Ka(d),C=f}function uD(s,l){s=s|0,l=l|0;var c=0;return c=n[s>>2]|0,c|0&&PA(c|0),n[s>>2]=n[l>>2],n[l>>2]=0,s|0}function dMe(s,l,c,f,d){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0;var m=0,B=0,k=0,Q=0;m=C,C=C+32|0,k=m+16|0,B=m+8|0,Q=m,Va(B),l=da(l)|0,c=o[c>>0]|0,n[Q>>2]=n[f>>2],d=n[d>>2]|0,n[k>>2]=n[Q>>2],SMe(s,l,c,k,d),Ka(B),C=m}function mMe(s,l,c,f,d){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0;var m=0,B=0,k=0,Q=0,O=0;m=C,C=C+32|0,Q=m+24|0,B=m+16|0,O=m+12|0,k=m,Va(B),l=da(l)|0,c=o[c>>0]|0,n[O>>2]=n[f>>2],mT(k,d),n[Q>>2]=n[O>>2],BMe(s,l,c,Q,k),$A(k),Ka(B),C=m}function yMe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0;d=C,C=C+32|0,B=d+16|0,m=d+8|0,k=d,Va(m),l=da(l)|0,c=o[c>>0]|0,n[k>>2]=n[f>>2],n[B>>2]=n[k>>2],EMe(s,l,c,B),Ka(m),C=d}function EMe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0;d=C,C=C+16|0,m=d+4|0,k=d,B=Pl(CMe()|0)|0,c=Wm(c)|0,n[k>>2]=n[f>>2],n[m>>2]=n[k>>2],AD(s,oo(0,B|0,l|0,c|0,Qg(m)|0)|0),C=d}function CMe(){var s=0;return o[8e3]|0||(wMe(10756),s=8e3,n[s>>2]=1,n[s+4>>2]=0),10756}function AD(s,l){s=s|0,l=l|0,OF(s,l)}function wMe(s){s=s|0,Sl(s,IMe()|0,2)}function IMe(){return 1772}function BMe(s,l,c,f,d){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0;var m=0,B=0,k=0,Q=0,O=0;m=C,C=C+32|0,Q=m+16|0,O=m+12|0,B=m,k=Pl(vMe()|0)|0,c=Wm(c)|0,n[O>>2]=n[f>>2],n[Q>>2]=n[O>>2],f=Qg(Q)|0,n[B>>2]=n[d>>2],Q=d+4|0,n[B+4>>2]=n[Q>>2],O=d+8|0,n[B+8>>2]=n[O>>2],n[O>>2]=0,n[Q>>2]=0,n[d>>2]=0,AD(s,pc(0,k|0,l|0,c|0,f|0,ET(B)|0)|0),$A(B),C=m}function vMe(){var s=0;return o[8008]|0||(DMe(10768),s=8008,n[s>>2]=1,n[s+4>>2]=0),10768}function DMe(s){s=s|0,Sl(s,PMe()|0,3)}function PMe(){return 1784}function SMe(s,l,c,f,d){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0;var m=0,B=0,k=0,Q=0;m=C,C=C+16|0,k=m+4|0,Q=m,B=Pl(xMe()|0)|0,c=Wm(c)|0,n[Q>>2]=n[f>>2],n[k>>2]=n[Q>>2],f=Qg(k)|0,AD(s,pc(0,B|0,l|0,c|0,f|0,yT(d)|0)|0),C=m}function xMe(){var s=0;return o[8016]|0||(bMe(10780),s=8016,n[s>>2]=1,n[s+4>>2]=0),10780}function bMe(s){s=s|0,Sl(s,kMe()|0,3)}function kMe(){return 1800}function QMe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=Pl(FMe()|0)|0,AD(s,Qn(0,f|0,l|0,Wm(c)|0)|0)}function FMe(){var s=0;return o[8024]|0||(TMe(10792),s=8024,n[s>>2]=1,n[s+4>>2]=0),10792}function TMe(s){s=s|0,Sl(s,RMe()|0,1)}function RMe(){return 1816}function NMe(){LMe(),MMe(),OMe()}function LMe(){n[2702]=d7(65536)|0}function MMe(){iOe(10856)}function OMe(){UMe(10816)}function UMe(s){s=s|0,_Me(s,5044),HMe(s)|0}function _Me(s,l){s=s|0,l=l|0;var c=0;c=F9()|0,n[s>>2]=c,ZMe(c,l),xp(n[s>>2]|0)}function HMe(s){s=s|0;var l=0;return l=n[s>>2]|0,bg(l,jMe()|0),s|0}function jMe(){var s=0;return o[8032]|0||(q9(10820),tr(64,10820,U|0)|0,s=8032,n[s>>2]=1,n[s+4>>2]=0),Rr(10820)|0||q9(10820),10820}function q9(s){s=s|0,YMe(s),kg(s,25)}function qMe(s){s=s|0,GMe(s+24|0)}function GMe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function YMe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,5,18,l,JMe()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function WMe(s,l){s=s|0,l=l|0,VMe(s,l)}function VMe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0;c=C,C=C+16|0,f=c,d=c+4|0,Sg(d,l),n[f>>2]=xg(d,l)|0,KMe(s,f),C=c}function KMe(s,l){s=s|0,l=l|0,G9(s+4|0,n[l>>2]|0),o[s+8>>0]=1}function G9(s,l){s=s|0,l=l|0,n[s>>2]=l}function JMe(){return 1824}function zMe(s){return s=s|0,XMe(s)|0}function XMe(s){s=s|0;var l=0,c=0,f=0,d=0,m=0,B=0,k=0;return c=C,C=C+16|0,d=c+4|0,B=c,f=Wa(8)|0,l=f,k=Vt(4)|0,Sg(d,s),G9(k,xg(d,s)|0),m=l+4|0,n[m>>2]=k,s=Vt(8)|0,m=n[m>>2]|0,n[B>>2]=0,n[d>>2]=n[B>>2],T9(s,m,d),n[f>>2]=s,C=c,l|0}function Wa(s){s=s|0;var l=0,c=0;return s=s+7&-8,s>>>0<=32768&&(l=n[2701]|0,s>>>0<=(65536-l|0)>>>0)?(c=(n[2702]|0)+l|0,n[2701]=l+s,s=c):(s=d7(s+8|0)|0,n[s>>2]=n[2703],n[2703]=s,s=s+8|0),s|0}function ZMe(s,l){s=s|0,l=l|0,n[s>>2]=$Me()|0,n[s+4>>2]=eOe()|0,n[s+12>>2]=l,n[s+8>>2]=tOe()|0,n[s+32>>2]=9}function $Me(){return 11744}function eOe(){return 1832}function tOe(){return lD()|0}function rOe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,(Sp(f,896)|0)==512?c|0&&(nOe(c),gt(c)):l|0&>(l)}function nOe(s){s=s|0,s=n[s+4>>2]|0,s|0&&bp(s)}function iOe(s){s=s|0,sOe(s,5052),oOe(s)|0,aOe(s,5058,26)|0,lOe(s,5069,1)|0,cOe(s,5077,10)|0,uOe(s,5087,19)|0,AOe(s,5094,27)|0}function sOe(s,l){s=s|0,l=l|0;var c=0;c=nUe()|0,n[s>>2]=c,iUe(c,l),xp(n[s>>2]|0)}function oOe(s){s=s|0;var l=0;return l=n[s>>2]|0,bg(l,q4e()|0),s|0}function aOe(s,l,c){return s=s|0,l=l|0,c=c|0,D4e(s,pn(l)|0,c,0),s|0}function lOe(s,l,c){return s=s|0,l=l|0,c=c|0,u4e(s,pn(l)|0,c,0),s|0}function cOe(s,l,c){return s=s|0,l=l|0,c=c|0,jOe(s,pn(l)|0,c,0),s|0}function uOe(s,l,c){return s=s|0,l=l|0,c=c|0,SOe(s,pn(l)|0,c,0),s|0}function Y9(s,l){s=s|0,l=l|0;var c=0,f=0;e:for(;;){for(c=n[2703]|0;;){if((c|0)==(l|0))break e;if(f=n[c>>2]|0,n[2703]=f,!c)c=f;else break}gt(c)}n[2701]=s}function AOe(s,l,c){return s=s|0,l=l|0,c=c|0,fOe(s,pn(l)|0,c,0),s|0}function fOe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;m=n[s>>2]|0,d=CT()|0,s=pOe(c)|0,hn(m,l,d,s,hOe(c,f)|0,f)}function CT(){var s=0,l=0;if(o[8040]|0||(V9(10860),tr(65,10860,U|0)|0,l=8040,n[l>>2]=1,n[l+4>>2]=0),!(Rr(10860)|0)){s=10860,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));V9(10860)}return 10860}function pOe(s){return s=s|0,s|0}function hOe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return k=C,C=C+16|0,d=k,m=k+4|0,n[d>>2]=s,Q=CT()|0,B=Q+24|0,l=gr(l,4)|0,n[m>>2]=l,c=Q+28|0,f=n[c>>2]|0,f>>>0<(n[Q+32>>2]|0)>>>0?(W9(f,s,l),l=(n[c>>2]|0)+8|0,n[c>>2]=l):(gOe(B,d,m),l=n[c>>2]|0),C=k,(l-(n[B>>2]|0)>>3)+-1|0}function W9(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c}function gOe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0;if(k=C,C=C+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=dOe(s)|0,f>>>0>>0)zr(s);else{Q=n[s>>2]|0,M=(n[s+8>>2]|0)-Q|0,O=M>>2,mOe(d,M>>3>>>0>>1>>>0?O>>>0>>0?B:O:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,W9(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,yOe(s,d),EOe(d),C=k;return}}function dOe(s){return s=s|0,536870911}function mOe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Tt();else{d=Vt(l<<3)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function yOe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function EOe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-8-l|0)>>>3)<<3)),s=n[s>>2]|0,s|0&>(s)}function V9(s){s=s|0,IOe(s)}function COe(s){s=s|0,wOe(s+24|0)}function wOe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function IOe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,1,11,l,BOe()|0,2),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function BOe(){return 1840}function vOe(s,l,c){s=s|0,l=l|0,c=c|0,POe(n[(DOe(s)|0)>>2]|0,l,c)}function DOe(s){return s=s|0,(n[(CT()|0)+24>>2]|0)+(s<<3)|0}function POe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0;f=C,C=C+16|0,m=f+1|0,d=f,Sg(m,l),l=xg(m,l)|0,Sg(d,c),c=xg(d,c)|0,tf[s&31](l,c),C=f}function SOe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;m=n[s>>2]|0,d=wT()|0,s=xOe(c)|0,hn(m,l,d,s,bOe(c,f)|0,f)}function wT(){var s=0,l=0;if(o[8048]|0||(J9(10896),tr(66,10896,U|0)|0,l=8048,n[l>>2]=1,n[l+4>>2]=0),!(Rr(10896)|0)){s=10896,l=s+36|0;do 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d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function TOe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function ROe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-8-l|0)>>>3)<<3)),s=n[s>>2]|0,s|0&>(s)}function J9(s){s=s|0,MOe(s)}function NOe(s){s=s|0,LOe(s+24|0)}function LOe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function MOe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,1,11,l,OOe()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function OOe(){return 1852}function UOe(s,l){return s=s|0,l=l|0,HOe(n[(_Oe(s)|0)>>2]|0,l)|0}function _Oe(s){return s=s|0,(n[(wT()|0)+24>>2]|0)+(s<<3)|0}function HOe(s,l){s=s|0,l=l|0;var c=0,f=0;return c=C,C=C+16|0,f=c,Sg(f,l),l=xg(f,l)|0,l=oD(Ng[s&31](l)|0)|0,C=c,l|0}function jOe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;m=n[s>>2]|0,d=IT()|0,s=qOe(c)|0,hn(m,l,d,s,GOe(c,f)|0,f)}function IT(){var s=0,l=0;if(o[8056]|0||(X9(10932),tr(67,10932,U|0)|0,l=8056,n[l>>2]=1,n[l+4>>2]=0),!(Rr(10932)|0)){s=10932,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));X9(10932)}return 10932}function qOe(s){return s=s|0,s|0}function GOe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return k=C,C=C+16|0,d=k,m=k+4|0,n[d>>2]=s,Q=IT()|0,B=Q+24|0,l=gr(l,4)|0,n[m>>2]=l,c=Q+28|0,f=n[c>>2]|0,f>>>0<(n[Q+32>>2]|0)>>>0?(z9(f,s,l),l=(n[c>>2]|0)+8|0,n[c>>2]=l):(YOe(B,d,m),l=n[c>>2]|0),C=k,(l-(n[B>>2]|0)>>3)+-1|0}function z9(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c}function YOe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0;if(k=C,C=C+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=WOe(s)|0,f>>>0>>0)zr(s);else{Q=n[s>>2]|0,M=(n[s+8>>2]|0)-Q|0,O=M>>2,VOe(d,M>>3>>>0>>1>>>0?O>>>0>>0?B:O:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,z9(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,KOe(s,d),JOe(d),C=k;return}}function WOe(s){return s=s|0,536870911}function VOe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Tt();else{d=Vt(l<<3)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function KOe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function JOe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-8-l|0)>>>3)<<3)),s=n[s>>2]|0,s|0&>(s)}function X9(s){s=s|0,ZOe(s)}function zOe(s){s=s|0,XOe(s+24|0)}function XOe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function ZOe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,1,7,l,$Oe()|0,2),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function $Oe(){return 1860}function e4e(s,l,c){return s=s|0,l=l|0,c=c|0,r4e(n[(t4e(s)|0)>>2]|0,l,c)|0}function t4e(s){return s=s|0,(n[(IT()|0)+24>>2]|0)+(s<<3)|0}function r4e(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0;return f=C,C=C+32|0,B=f+12|0,m=f+8|0,k=f,Q=f+16|0,d=f+4|0,n4e(Q,l),i4e(k,Q,l),vp(d,c),c=Dp(d,c)|0,n[B>>2]=n[k>>2],_w[s&15](m,B,c),c=s4e(m)|0,qA(m),Pp(d),C=f,c|0}function n4e(s,l){s=s|0,l=l|0}function i4e(s,l,c){s=s|0,l=l|0,c=c|0,o4e(s,c)}function s4e(s){return s=s|0,da(s)|0}function o4e(s,l){s=s|0,l=l|0;var 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f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0;if(k=C,C=C+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=h4e(s)|0,f>>>0>>0)zr(s);else{Q=n[s>>2]|0,M=(n[s+8>>2]|0)-Q|0,O=M>>2,g4e(d,M>>3>>>0>>1>>>0?O>>>0>>0?B:O:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,Z9(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,d4e(s,d),m4e(d),C=k;return}}function h4e(s){return s=s|0,536870911}function g4e(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Tt();else{d=Vt(l<<3)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function d4e(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function m4e(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-8-l|0)>>>3)<<3)),s=n[s>>2]|0,s|0&>(s)}function $9(s){s=s|0,C4e(s)}function y4e(s){s=s|0,E4e(s+24|0)}function E4e(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function C4e(s){s=s|0;var l=0;l=Vr()|0,Kr(s,1,1,l,w4e()|0,5),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function w4e(){return 1872}function I4e(s,l,c,f,d,m){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0,v4e(n[(B4e(s)|0)>>2]|0,l,c,f,d,m)}function B4e(s){return s=s|0,(n[(BT()|0)+24>>2]|0)+(s<<3)|0}function v4e(s,l,c,f,d,m){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0;var B=0,k=0,Q=0,O=0,M=0,q=0;B=C,C=C+32|0,k=B+16|0,Q=B+12|0,O=B+8|0,M=B+4|0,q=B,vp(k,l),l=Dp(k,l)|0,vp(Q,c),c=Dp(Q,c)|0,vp(O,f),f=Dp(O,f)|0,vp(M,d),d=Dp(M,d)|0,vp(q,m),m=Dp(q,m)|0,w7[s&1](l,c,f,d,m),Pp(q),Pp(M),Pp(O),Pp(Q),Pp(k),C=B}function D4e(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;m=n[s>>2]|0,d=vT()|0,s=P4e(c)|0,hn(m,l,d,s,S4e(c,f)|0,f)}function vT(){var s=0,l=0;if(o[8072]|0||(t7(11004),tr(69,11004,U|0)|0,l=8072,n[l>>2]=1,n[l+4>>2]=0),!(Rr(11004)|0)){s=11004,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));t7(11004)}return 11004}function P4e(s){return s=s|0,s|0}function S4e(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return k=C,C=C+16|0,d=k,m=k+4|0,n[d>>2]=s,Q=vT()|0,B=Q+24|0,l=gr(l,4)|0,n[m>>2]=l,c=Q+28|0,f=n[c>>2]|0,f>>>0<(n[Q+32>>2]|0)>>>0?(e7(f,s,l),l=(n[c>>2]|0)+8|0,n[c>>2]=l):(x4e(B,d,m),l=n[c>>2]|0),C=k,(l-(n[B>>2]|0)>>3)+-1|0}function e7(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c}function x4e(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0;if(k=C,C=C+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=b4e(s)|0,f>>>0>>0)zr(s);else{Q=n[s>>2]|0,M=(n[s+8>>2]|0)-Q|0,O=M>>2,k4e(d,M>>3>>>0>>1>>>0?O>>>0>>0?B:O:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,e7(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,Q4e(s,d),F4e(d),C=k;return}}function b4e(s){return s=s|0,536870911}function k4e(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Tt();else{d=Vt(l<<3)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function Q4e(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function F4e(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-8-l|0)>>>3)<<3)),s=n[s>>2]|0,s|0&>(s)}function t7(s){s=s|0,N4e(s)}function T4e(s){s=s|0,R4e(s+24|0)}function R4e(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function N4e(s){s=s|0;var l=0;l=Vr()|0,Kr(s,1,12,l,L4e()|0,2),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function L4e(){return 1896}function M4e(s,l,c){s=s|0,l=l|0,c=c|0,U4e(n[(O4e(s)|0)>>2]|0,l,c)}function O4e(s){return s=s|0,(n[(vT()|0)+24>>2]|0)+(s<<3)|0}function U4e(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0;f=C,C=C+16|0,m=f+4|0,d=f,_4e(m,l),l=H4e(m,l)|0,vp(d,c),c=Dp(d,c)|0,tf[s&31](l,c),Pp(d),C=f}function _4e(s,l){s=s|0,l=l|0}function H4e(s,l){return s=s|0,l=l|0,j4e(l)|0}function j4e(s){return s=s|0,s|0}function q4e(){var s=0;return o[8080]|0||(r7(11040),tr(70,11040,U|0)|0,s=8080,n[s>>2]=1,n[s+4>>2]=0),Rr(11040)|0||r7(11040),11040}function r7(s){s=s|0,W4e(s),kg(s,71)}function G4e(s){s=s|0,Y4e(s+24|0)}function Y4e(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function W4e(s){s=s|0;var l=0;l=Vr()|0,Kr(s,5,7,l,z4e()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function V4e(s){s=s|0,K4e(s)}function K4e(s){s=s|0,J4e(s)}function J4e(s){s=s|0,o[s+8>>0]=1}function z4e(){return 1936}function X4e(){return Z4e()|0}function Z4e(){var s=0,l=0,c=0,f=0,d=0,m=0,B=0;return l=C,C=C+16|0,d=l+4|0,B=l,c=Wa(8)|0,s=c,m=s+4|0,n[m>>2]=Vt(1)|0,f=Vt(8)|0,m=n[m>>2]|0,n[B>>2]=0,n[d>>2]=n[B>>2],$4e(f,m,d),n[c>>2]=f,C=l,s|0}function $4e(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,c=Vt(16)|0,n[c+4>>2]=0,n[c+8>>2]=0,n[c>>2]=1916,n[c+12>>2]=l,n[s+4>>2]=c}function eUe(s){s=s|0,Jm(s),gt(s)}function tUe(s){s=s|0,s=n[s+12>>2]|0,s|0&>(s)}function rUe(s){s=s|0,gt(s)}function nUe(){var s=0;return o[8088]|0||(uUe(11076),tr(25,11076,U|0)|0,s=8088,n[s>>2]=1,n[s+4>>2]=0),11076}function iUe(s,l){s=s|0,l=l|0,n[s>>2]=sUe()|0,n[s+4>>2]=oUe()|0,n[s+12>>2]=l,n[s+8>>2]=aUe()|0,n[s+32>>2]=10}function sUe(){return 11745}function oUe(){return 1940}function aUe(){return aD()|0}function lUe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,(Sp(f,896)|0)==512?c|0&&(cUe(c),gt(c)):l|0&>(l)}function cUe(s){s=s|0,s=n[s+4>>2]|0,s|0&&bp(s)}function uUe(s){s=s|0,Bp(s)}function xc(s,l){s=s|0,l=l|0,n[s>>2]=l}function DT(s){return s=s|0,n[s>>2]|0}function AUe(s){return s=s|0,o[n[s>>2]>>0]|0}function fUe(s,l){s=s|0,l=l|0;var c=0,f=0;c=C,C=C+16|0,f=c,n[f>>2]=n[s>>2],pUe(l,f)|0,C=c}function pUe(s,l){s=s|0,l=l|0;var c=0;return c=hUe(n[s>>2]|0,l)|0,l=s+4|0,n[(n[l>>2]|0)+8>>2]=c,n[(n[l>>2]|0)+8>>2]|0}function hUe(s,l){s=s|0,l=l|0;var c=0,f=0;return c=C,C=C+16|0,f=c,Va(f),s=da(s)|0,l=gUe(s,n[l>>2]|0)|0,Ka(f),C=c,l|0}function Va(s){s=s|0,n[s>>2]=n[2701],n[s+4>>2]=n[2703]}function gUe(s,l){s=s|0,l=l|0;var c=0;return c=Pl(dUe()|0)|0,Qn(0,c|0,s|0,yT(l)|0)|0}function Ka(s){s=s|0,Y9(n[s>>2]|0,n[s+4>>2]|0)}function dUe(){var s=0;return o[8096]|0||(mUe(11120),s=8096,n[s>>2]=1,n[s+4>>2]=0),11120}function mUe(s){s=s|0,Sl(s,yUe()|0,1)}function yUe(){return 1948}function EUe(){CUe()}function CUe(){var s=0,l=0,c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0,Ge=0,Oe=0,Fe=0;if(Oe=C,C=C+16|0,M=Oe+4|0,q=Oe,Ni(65536,10804,n[2702]|0,10812),c=P9()|0,l=n[c>>2]|0,s=n[l>>2]|0,s|0)for(f=n[c+8>>2]|0,c=n[c+4>>2]|0;uc(s|0,u[c>>0]|0|0,o[f>>0]|0),l=l+4|0,s=n[l>>2]|0,s;)f=f+1|0,c=c+1|0;if(s=S9()|0,l=n[s>>2]|0,l|0)do uu(l|0,n[s+4>>2]|0),s=s+8|0,l=n[s>>2]|0;while((l|0)!=0);uu(wUe()|0,5167),O=Gm()|0,s=n[O>>2]|0;e:do if(s|0){do IUe(n[s+4>>2]|0),s=n[s>>2]|0;while((s|0)!=0);if(s=n[O>>2]|0,s|0){Q=O;do{for(;d=s,s=n[s>>2]|0,d=n[d+4>>2]|0,!!(BUe(d)|0);)if(n[q>>2]=Q,n[M>>2]=n[q>>2],vUe(O,M)|0,!s)break e;if(DUe(d),Q=n[Q>>2]|0,l=n7(d)|0,m=Hi()|0,B=C,C=C+((1*(l<<2)|0)+15&-16)|0,k=C,C=C+((1*(l<<2)|0)+15&-16)|0,l=n[(U9(d)|0)>>2]|0,l|0)for(c=B,f=k;n[c>>2]=n[(Ym(n[l+4>>2]|0)|0)>>2],n[f>>2]=n[l+8>>2],l=n[l>>2]|0,l;)c=c+4|0,f=f+4|0;Fe=Ym(d)|0,l=PUe(d)|0,c=n7(d)|0,f=SUe(d)|0,Au(Fe|0,l|0,B|0,k|0,c|0,f|0,fT(d)|0),_i(m|0)}while((s|0)!=0)}}while(0);if(s=n[(pT()|0)>>2]|0,s|0)do Fe=s+4|0,O=hT(Fe)|0,d=Lw(O)|0,m=Rw(O)|0,B=(Nw(O)|0)+1|0,k=fD(O)|0,Q=i7(Fe)|0,O=Rr(O)|0,M=cD(Fe)|0,q=PT(Fe)|0,El(0,d|0,m|0,B|0,k|0,Q|0,O|0,M|0,q|0,ST(Fe)|0),s=n[s>>2]|0;while((s|0)!=0);s=n[(Gm()|0)>>2]|0;e:do if(s|0){t:for(;;){if(l=n[s+4>>2]|0,l|0&&(se=n[(Ym(l)|0)>>2]|0,Ge=n[(_9(l)|0)>>2]|0,Ge|0)){c=Ge;do{l=c+4|0,f=hT(l)|0;r:do if(f|0)switch(Rr(f)|0){case 0:break t;case 4:case 3:case 2:{k=Lw(f)|0,Q=Rw(f)|0,O=(Nw(f)|0)+1|0,M=fD(f)|0,q=Rr(f)|0,Fe=cD(l)|0,El(se|0,k|0,Q|0,O|0,M|0,0,q|0,Fe|0,PT(l)|0,ST(l)|0);break r}case 1:{B=Lw(f)|0,k=Rw(f)|0,Q=(Nw(f)|0)+1|0,O=fD(f)|0,M=i7(l)|0,q=Rr(f)|0,Fe=cD(l)|0,El(se|0,B|0,k|0,Q|0,O|0,M|0,q|0,Fe|0,PT(l)|0,ST(l)|0);break r}case 5:{O=Lw(f)|0,M=Rw(f)|0,q=(Nw(f)|0)+1|0,Fe=fD(f)|0,El(se|0,O|0,M|0,q|0,Fe|0,xUe(f)|0,Rr(f)|0,0,0,0);break r}default:break r}while(0);c=n[c>>2]|0}while((c|0)!=0)}if(s=n[s>>2]|0,!s)break e}Tt()}while(0);Ce(),C=Oe}function wUe(){return 11703}function IUe(s){s=s|0,o[s+40>>0]=0}function BUe(s){return s=s|0,(o[s+40>>0]|0)!=0|0}function vUe(s,l){return s=s|0,l=l|0,l=bUe(l)|0,s=n[l>>2]|0,n[l>>2]=n[s>>2],gt(s),n[l>>2]|0}function DUe(s){s=s|0,o[s+40>>0]=1}function n7(s){return s=s|0,n[s+20>>2]|0}function PUe(s){return s=s|0,n[s+8>>2]|0}function SUe(s){return s=s|0,n[s+32>>2]|0}function fD(s){return s=s|0,n[s+4>>2]|0}function i7(s){return s=s|0,n[s+4>>2]|0}function PT(s){return s=s|0,n[s+8>>2]|0}function ST(s){return s=s|0,n[s+16>>2]|0}function xUe(s){return s=s|0,n[s+20>>2]|0}function bUe(s){return s=s|0,n[s>>2]|0}function pD(s){s=s|0;var l=0,c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0,Ge=0,Oe=0,Fe=0,et=0,Xe=0,at=0,Ue=0,qe=0,Lt=0;Lt=C,C=C+16|0,se=Lt;do if(s>>>0<245){if(O=s>>>0<11?16:s+11&-8,s=O>>>3,q=n[2783]|0,c=q>>>s,c&3|0)return l=(c&1^1)+s|0,s=11172+(l<<1<<2)|0,c=s+8|0,f=n[c>>2]|0,d=f+8|0,m=n[d>>2]|0,(s|0)==(m|0)?n[2783]=q&~(1<>2]=s,n[c>>2]=m),qe=l<<3,n[f+4>>2]=qe|3,qe=f+qe+4|0,n[qe>>2]=n[qe>>2]|1,qe=d,C=Lt,qe|0;if(M=n[2785]|0,O>>>0>M>>>0){if(c|0)return l=2<>>12&16,l=l>>>B,c=l>>>5&8,l=l>>>c,d=l>>>2&4,l=l>>>d,s=l>>>1&2,l=l>>>s,f=l>>>1&1,f=(c|B|d|s|f)+(l>>>f)|0,l=11172+(f<<1<<2)|0,s=l+8|0,d=n[s>>2]|0,B=d+8|0,c=n[B>>2]|0,(l|0)==(c|0)?(s=q&~(1<>2]=l,n[s>>2]=c,s=q),m=(f<<3)-O|0,n[d+4>>2]=O|3,f=d+O|0,n[f+4>>2]=m|1,n[f+m>>2]=m,M|0&&(d=n[2788]|0,l=M>>>3,c=11172+(l<<1<<2)|0,l=1<>2]|0):(n[2783]=s|l,l=c,s=c+8|0),n[s>>2]=d,n[l+12>>2]=d,n[d+8>>2]=l,n[d+12>>2]=c),n[2785]=m,n[2788]=f,qe=B,C=Lt,qe|0;if(k=n[2784]|0,k){if(c=(k&0-k)+-1|0,B=c>>>12&16,c=c>>>B,m=c>>>5&8,c=c>>>m,Q=c>>>2&4,c=c>>>Q,f=c>>>1&2,c=c>>>f,s=c>>>1&1,s=n[11436+((m|B|Q|f|s)+(c>>>s)<<2)>>2]|0,c=(n[s+4>>2]&-8)-O|0,f=n[s+16+(((n[s+16>>2]|0)==0&1)<<2)>>2]|0,!f)Q=s,m=c;else{do B=(n[f+4>>2]&-8)-O|0,Q=B>>>0>>0,c=Q?B:c,s=Q?f:s,f=n[f+16+(((n[f+16>>2]|0)==0&1)<<2)>>2]|0;while((f|0)!=0);Q=s,m=c}if(B=Q+O|0,Q>>>0>>0){d=n[Q+24>>2]|0,l=n[Q+12>>2]|0;do if((l|0)==(Q|0)){if(s=Q+20|0,l=n[s>>2]|0,!l&&(s=Q+16|0,l=n[s>>2]|0,!l)){c=0;break}for(;;){if(c=l+20|0,f=n[c>>2]|0,f|0){l=f,s=c;continue}if(c=l+16|0,f=n[c>>2]|0,f)l=f,s=c;else break}n[s>>2]=0,c=l}else c=n[Q+8>>2]|0,n[c+12>>2]=l,n[l+8>>2]=c,c=l;while(0);do if(d|0){if(l=n[Q+28>>2]|0,s=11436+(l<<2)|0,(Q|0)==(n[s>>2]|0)){if(n[s>>2]=c,!c){n[2784]=k&~(1<>2]|0)!=(Q|0)&1)<<2)>>2]=c,!c)break;n[c+24>>2]=d,l=n[Q+16>>2]|0,l|0&&(n[c+16>>2]=l,n[l+24>>2]=c),l=n[Q+20>>2]|0,l|0&&(n[c+20>>2]=l,n[l+24>>2]=c)}while(0);return m>>>0<16?(qe=m+O|0,n[Q+4>>2]=qe|3,qe=Q+qe+4|0,n[qe>>2]=n[qe>>2]|1):(n[Q+4>>2]=O|3,n[B+4>>2]=m|1,n[B+m>>2]=m,M|0&&(f=n[2788]|0,l=M>>>3,c=11172+(l<<1<<2)|0,l=1<>2]|0):(n[2783]=q|l,l=c,s=c+8|0),n[s>>2]=f,n[l+12>>2]=f,n[f+8>>2]=l,n[f+12>>2]=c),n[2785]=m,n[2788]=B),qe=Q+8|0,C=Lt,qe|0}else q=O}else q=O}else q=O}else if(s>>>0<=4294967231)if(s=s+11|0,O=s&-8,Q=n[2784]|0,Q){f=0-O|0,s=s>>>8,s?O>>>0>16777215?k=31:(q=(s+1048320|0)>>>16&8,Ue=s<>>16&4,Ue=Ue<>>16&2,k=14-(M|q|k)+(Ue<>>15)|0,k=O>>>(k+7|0)&1|k<<1):k=0,c=n[11436+(k<<2)>>2]|0;e:do if(!c)c=0,s=0,Ue=57;else for(s=0,B=O<<((k|0)==31?0:25-(k>>>1)|0),m=0;;){if(d=(n[c+4>>2]&-8)-O|0,d>>>0>>0)if(d)s=c,f=d;else{s=c,f=0,d=c,Ue=61;break e}if(d=n[c+20>>2]|0,c=n[c+16+(B>>>31<<2)>>2]|0,m=(d|0)==0|(d|0)==(c|0)?m:d,d=(c|0)==0,d){c=m,Ue=57;break}else B=B<<((d^1)&1)}while(0);if((Ue|0)==57){if((c|0)==0&(s|0)==0){if(s=2<>>12&16,q=q>>>B,m=q>>>5&8,q=q>>>m,k=q>>>2&4,q=q>>>k,M=q>>>1&2,q=q>>>M,c=q>>>1&1,s=0,c=n[11436+((m|B|k|M|c)+(q>>>c)<<2)>>2]|0}c?(d=c,Ue=61):(k=s,B=f)}if((Ue|0)==61)for(;;)if(Ue=0,c=(n[d+4>>2]&-8)-O|0,q=c>>>0>>0,c=q?c:f,s=q?d:s,d=n[d+16+(((n[d+16>>2]|0)==0&1)<<2)>>2]|0,d)f=c,Ue=61;else{k=s,B=c;break}if((k|0)!=0&&B>>>0<((n[2785]|0)-O|0)>>>0){if(m=k+O|0,k>>>0>=m>>>0)return qe=0,C=Lt,qe|0;d=n[k+24>>2]|0,l=n[k+12>>2]|0;do if((l|0)==(k|0)){if(s=k+20|0,l=n[s>>2]|0,!l&&(s=k+16|0,l=n[s>>2]|0,!l)){l=0;break}for(;;){if(c=l+20|0,f=n[c>>2]|0,f|0){l=f,s=c;continue}if(c=l+16|0,f=n[c>>2]|0,f)l=f,s=c;else break}n[s>>2]=0}else qe=n[k+8>>2]|0,n[qe+12>>2]=l,n[l+8>>2]=qe;while(0);do if(d){if(s=n[k+28>>2]|0,c=11436+(s<<2)|0,(k|0)==(n[c>>2]|0)){if(n[c>>2]=l,!l){f=Q&~(1<>2]|0)!=(k|0)&1)<<2)>>2]=l,!l){f=Q;break}n[l+24>>2]=d,s=n[k+16>>2]|0,s|0&&(n[l+16>>2]=s,n[s+24>>2]=l),s=n[k+20>>2]|0,s&&(n[l+20>>2]=s,n[s+24>>2]=l),f=Q}else f=Q;while(0);do if(B>>>0>=16){if(n[k+4>>2]=O|3,n[m+4>>2]=B|1,n[m+B>>2]=B,l=B>>>3,B>>>0<256){c=11172+(l<<1<<2)|0,s=n[2783]|0,l=1<>2]|0):(n[2783]=s|l,l=c,s=c+8|0),n[s>>2]=m,n[l+12>>2]=m,n[m+8>>2]=l,n[m+12>>2]=c;break}if(l=B>>>8,l?B>>>0>16777215?l=31:(Ue=(l+1048320|0)>>>16&8,qe=l<>>16&4,qe=qe<>>16&2,l=14-(at|Ue|l)+(qe<>>15)|0,l=B>>>(l+7|0)&1|l<<1):l=0,c=11436+(l<<2)|0,n[m+28>>2]=l,s=m+16|0,n[s+4>>2]=0,n[s>>2]=0,s=1<>2]=m,n[m+24>>2]=c,n[m+12>>2]=m,n[m+8>>2]=m;break}for(s=B<<((l|0)==31?0:25-(l>>>1)|0),c=n[c>>2]|0;;){if((n[c+4>>2]&-8|0)==(B|0)){Ue=97;break}if(f=c+16+(s>>>31<<2)|0,l=n[f>>2]|0,l)s=s<<1,c=l;else{Ue=96;break}}if((Ue|0)==96){n[f>>2]=m,n[m+24>>2]=c,n[m+12>>2]=m,n[m+8>>2]=m;break}else if((Ue|0)==97){Ue=c+8|0,qe=n[Ue>>2]|0,n[qe+12>>2]=m,n[Ue>>2]=m,n[m+8>>2]=qe,n[m+12>>2]=c,n[m+24>>2]=0;break}}else qe=B+O|0,n[k+4>>2]=qe|3,qe=k+qe+4|0,n[qe>>2]=n[qe>>2]|1;while(0);return qe=k+8|0,C=Lt,qe|0}else q=O}else q=O;else q=-1;while(0);if(c=n[2785]|0,c>>>0>=q>>>0)return l=c-q|0,s=n[2788]|0,l>>>0>15?(qe=s+q|0,n[2788]=qe,n[2785]=l,n[qe+4>>2]=l|1,n[qe+l>>2]=l,n[s+4>>2]=q|3):(n[2785]=0,n[2788]=0,n[s+4>>2]=c|3,qe=s+c+4|0,n[qe>>2]=n[qe>>2]|1),qe=s+8|0,C=Lt,qe|0;if(B=n[2786]|0,B>>>0>q>>>0)return at=B-q|0,n[2786]=at,qe=n[2789]|0,Ue=qe+q|0,n[2789]=Ue,n[Ue+4>>2]=at|1,n[qe+4>>2]=q|3,qe=qe+8|0,C=Lt,qe|0;if(n[2901]|0?s=n[2903]|0:(n[2903]=4096,n[2902]=4096,n[2904]=-1,n[2905]=-1,n[2906]=0,n[2894]=0,s=se&-16^1431655768,n[se>>2]=s,n[2901]=s,s=4096),k=q+48|0,Q=q+47|0,m=s+Q|0,d=0-s|0,O=m&d,O>>>0<=q>>>0||(s=n[2893]|0,s|0&&(M=n[2891]|0,se=M+O|0,se>>>0<=M>>>0|se>>>0>s>>>0)))return qe=0,C=Lt,qe|0;e:do if(n[2894]&4)l=0,Ue=133;else{c=n[2789]|0;t:do if(c){for(f=11580;s=n[f>>2]|0,!(s>>>0<=c>>>0&&(Fe=f+4|0,(s+(n[Fe>>2]|0)|0)>>>0>c>>>0));)if(s=n[f+8>>2]|0,s)f=s;else{Ue=118;break t}if(l=m-B&d,l>>>0<2147483647)if(s=kp(l|0)|0,(s|0)==((n[f>>2]|0)+(n[Fe>>2]|0)|0)){if((s|0)!=-1){B=l,m=s,Ue=135;break e}}else f=s,Ue=126;else l=0}else Ue=118;while(0);do if((Ue|0)==118)if(c=kp(0)|0,(c|0)!=-1&&(l=c,Ge=n[2902]|0,Oe=Ge+-1|0,l=((Oe&l|0)==0?0:(Oe+l&0-Ge)-l|0)+O|0,Ge=n[2891]|0,Oe=l+Ge|0,l>>>0>q>>>0&l>>>0<2147483647)){if(Fe=n[2893]|0,Fe|0&&Oe>>>0<=Ge>>>0|Oe>>>0>Fe>>>0){l=0;break}if(s=kp(l|0)|0,(s|0)==(c|0)){B=l,m=c,Ue=135;break e}else f=s,Ue=126}else l=0;while(0);do if((Ue|0)==126){if(c=0-l|0,!(k>>>0>l>>>0&(l>>>0<2147483647&(f|0)!=-1)))if((f|0)==-1){l=0;break}else{B=l,m=f,Ue=135;break e}if(s=n[2903]|0,s=Q-l+s&0-s,s>>>0>=2147483647){B=l,m=f,Ue=135;break e}if((kp(s|0)|0)==-1){kp(c|0)|0,l=0;break}else{B=s+l|0,m=f,Ue=135;break e}}while(0);n[2894]=n[2894]|4,Ue=133}while(0);if((Ue|0)==133&&O>>>0<2147483647&&(at=kp(O|0)|0,Fe=kp(0)|0,et=Fe-at|0,Xe=et>>>0>(q+40|0)>>>0,!((at|0)==-1|Xe^1|at>>>0>>0&((at|0)!=-1&(Fe|0)!=-1)^1))&&(B=Xe?et:l,m=at,Ue=135),(Ue|0)==135){l=(n[2891]|0)+B|0,n[2891]=l,l>>>0>(n[2892]|0)>>>0&&(n[2892]=l),Q=n[2789]|0;do if(Q){for(l=11580;;){if(s=n[l>>2]|0,c=l+4|0,f=n[c>>2]|0,(m|0)==(s+f|0)){Ue=145;break}if(d=n[l+8>>2]|0,d)l=d;else break}if((Ue|0)==145&&(n[l+12>>2]&8|0)==0&&Q>>>0>>0&Q>>>0>=s>>>0){n[c>>2]=f+B,qe=Q+8|0,qe=(qe&7|0)==0?0:0-qe&7,Ue=Q+qe|0,qe=(n[2786]|0)+(B-qe)|0,n[2789]=Ue,n[2786]=qe,n[Ue+4>>2]=qe|1,n[Ue+qe+4>>2]=40,n[2790]=n[2905];break}for(m>>>0<(n[2787]|0)>>>0&&(n[2787]=m),c=m+B|0,l=11580;;){if((n[l>>2]|0)==(c|0)){Ue=153;break}if(s=n[l+8>>2]|0,s)l=s;else break}if((Ue|0)==153&&(n[l+12>>2]&8|0)==0){n[l>>2]=m,M=l+4|0,n[M>>2]=(n[M>>2]|0)+B,M=m+8|0,M=m+((M&7|0)==0?0:0-M&7)|0,l=c+8|0,l=c+((l&7|0)==0?0:0-l&7)|0,O=M+q|0,k=l-M-q|0,n[M+4>>2]=q|3;do if((l|0)!=(Q|0)){if((l|0)==(n[2788]|0)){qe=(n[2785]|0)+k|0,n[2785]=qe,n[2788]=O,n[O+4>>2]=qe|1,n[O+qe>>2]=qe;break}if(s=n[l+4>>2]|0,(s&3|0)==1){B=s&-8,f=s>>>3;e:do if(s>>>0<256)if(s=n[l+8>>2]|0,c=n[l+12>>2]|0,(c|0)==(s|0)){n[2783]=n[2783]&~(1<>2]=c,n[c+8>>2]=s;break}else{m=n[l+24>>2]|0,s=n[l+12>>2]|0;do if((s|0)==(l|0)){if(f=l+16|0,c=f+4|0,s=n[c>>2]|0,!s)if(s=n[f>>2]|0,s)c=f;else{s=0;break}for(;;){if(f=s+20|0,d=n[f>>2]|0,d|0){s=d,c=f;continue}if(f=s+16|0,d=n[f>>2]|0,d)s=d,c=f;else break}n[c>>2]=0}else qe=n[l+8>>2]|0,n[qe+12>>2]=s,n[s+8>>2]=qe;while(0);if(!m)break;c=n[l+28>>2]|0,f=11436+(c<<2)|0;do if((l|0)!=(n[f>>2]|0)){if(n[m+16+(((n[m+16>>2]|0)!=(l|0)&1)<<2)>>2]=s,!s)break e}else{if(n[f>>2]=s,s|0)break;n[2784]=n[2784]&~(1<>2]=m,c=l+16|0,f=n[c>>2]|0,f|0&&(n[s+16>>2]=f,n[f+24>>2]=s),c=n[c+4>>2]|0,!c)break;n[s+20>>2]=c,n[c+24>>2]=s}while(0);l=l+B|0,d=B+k|0}else d=k;if(l=l+4|0,n[l>>2]=n[l>>2]&-2,n[O+4>>2]=d|1,n[O+d>>2]=d,l=d>>>3,d>>>0<256){c=11172+(l<<1<<2)|0,s=n[2783]|0,l=1<>2]|0):(n[2783]=s|l,l=c,s=c+8|0),n[s>>2]=O,n[l+12>>2]=O,n[O+8>>2]=l,n[O+12>>2]=c;break}l=d>>>8;do if(!l)l=0;else{if(d>>>0>16777215){l=31;break}Ue=(l+1048320|0)>>>16&8,qe=l<>>16&4,qe=qe<>>16&2,l=14-(at|Ue|l)+(qe<>>15)|0,l=d>>>(l+7|0)&1|l<<1}while(0);if(f=11436+(l<<2)|0,n[O+28>>2]=l,s=O+16|0,n[s+4>>2]=0,n[s>>2]=0,s=n[2784]|0,c=1<>2]=O,n[O+24>>2]=f,n[O+12>>2]=O,n[O+8>>2]=O;break}for(s=d<<((l|0)==31?0:25-(l>>>1)|0),c=n[f>>2]|0;;){if((n[c+4>>2]&-8|0)==(d|0)){Ue=194;break}if(f=c+16+(s>>>31<<2)|0,l=n[f>>2]|0,l)s=s<<1,c=l;else{Ue=193;break}}if((Ue|0)==193){n[f>>2]=O,n[O+24>>2]=c,n[O+12>>2]=O,n[O+8>>2]=O;break}else if((Ue|0)==194){Ue=c+8|0,qe=n[Ue>>2]|0,n[qe+12>>2]=O,n[Ue>>2]=O,n[O+8>>2]=qe,n[O+12>>2]=c,n[O+24>>2]=0;break}}else qe=(n[2786]|0)+k|0,n[2786]=qe,n[2789]=O,n[O+4>>2]=qe|1;while(0);return qe=M+8|0,C=Lt,qe|0}for(l=11580;s=n[l>>2]|0,!(s>>>0<=Q>>>0&&(qe=s+(n[l+4>>2]|0)|0,qe>>>0>Q>>>0));)l=n[l+8>>2]|0;d=qe+-47|0,s=d+8|0,s=d+((s&7|0)==0?0:0-s&7)|0,d=Q+16|0,s=s>>>0>>0?Q:s,l=s+8|0,c=m+8|0,c=(c&7|0)==0?0:0-c&7,Ue=m+c|0,c=B+-40-c|0,n[2789]=Ue,n[2786]=c,n[Ue+4>>2]=c|1,n[Ue+c+4>>2]=40,n[2790]=n[2905],c=s+4|0,n[c>>2]=27,n[l>>2]=n[2895],n[l+4>>2]=n[2896],n[l+8>>2]=n[2897],n[l+12>>2]=n[2898],n[2895]=m,n[2896]=B,n[2898]=0,n[2897]=l,l=s+24|0;do Ue=l,l=l+4|0,n[l>>2]=7;while((Ue+8|0)>>>0>>0);if((s|0)!=(Q|0)){if(m=s-Q|0,n[c>>2]=n[c>>2]&-2,n[Q+4>>2]=m|1,n[s>>2]=m,l=m>>>3,m>>>0<256){c=11172+(l<<1<<2)|0,s=n[2783]|0,l=1<>2]|0):(n[2783]=s|l,l=c,s=c+8|0),n[s>>2]=Q,n[l+12>>2]=Q,n[Q+8>>2]=l,n[Q+12>>2]=c;break}if(l=m>>>8,l?m>>>0>16777215?c=31:(Ue=(l+1048320|0)>>>16&8,qe=l<>>16&4,qe=qe<>>16&2,c=14-(at|Ue|c)+(qe<>>15)|0,c=m>>>(c+7|0)&1|c<<1):c=0,f=11436+(c<<2)|0,n[Q+28>>2]=c,n[Q+20>>2]=0,n[d>>2]=0,l=n[2784]|0,s=1<>2]=Q,n[Q+24>>2]=f,n[Q+12>>2]=Q,n[Q+8>>2]=Q;break}for(s=m<<((c|0)==31?0:25-(c>>>1)|0),c=n[f>>2]|0;;){if((n[c+4>>2]&-8|0)==(m|0)){Ue=216;break}if(f=c+16+(s>>>31<<2)|0,l=n[f>>2]|0,l)s=s<<1,c=l;else{Ue=215;break}}if((Ue|0)==215){n[f>>2]=Q,n[Q+24>>2]=c,n[Q+12>>2]=Q,n[Q+8>>2]=Q;break}else if((Ue|0)==216){Ue=c+8|0,qe=n[Ue>>2]|0,n[qe+12>>2]=Q,n[Ue>>2]=Q,n[Q+8>>2]=qe,n[Q+12>>2]=c,n[Q+24>>2]=0;break}}}else{qe=n[2787]|0,(qe|0)==0|m>>>0>>0&&(n[2787]=m),n[2895]=m,n[2896]=B,n[2898]=0,n[2792]=n[2901],n[2791]=-1,l=0;do qe=11172+(l<<1<<2)|0,n[qe+12>>2]=qe,n[qe+8>>2]=qe,l=l+1|0;while((l|0)!=32);qe=m+8|0,qe=(qe&7|0)==0?0:0-qe&7,Ue=m+qe|0,qe=B+-40-qe|0,n[2789]=Ue,n[2786]=qe,n[Ue+4>>2]=qe|1,n[Ue+qe+4>>2]=40,n[2790]=n[2905]}while(0);if(l=n[2786]|0,l>>>0>q>>>0)return at=l-q|0,n[2786]=at,qe=n[2789]|0,Ue=qe+q|0,n[2789]=Ue,n[Ue+4>>2]=at|1,n[qe+4>>2]=q|3,qe=qe+8|0,C=Lt,qe|0}return n[(Vm()|0)>>2]=12,qe=0,C=Lt,qe|0}function hD(s){s=s|0;var l=0,c=0,f=0,d=0,m=0,B=0,k=0,Q=0;if(!!s){c=s+-8|0,d=n[2787]|0,s=n[s+-4>>2]|0,l=s&-8,Q=c+l|0;do if(s&1)k=c,B=c;else{if(f=n[c>>2]|0,!(s&3)||(B=c+(0-f)|0,m=f+l|0,B>>>0>>0))return;if((B|0)==(n[2788]|0)){if(s=Q+4|0,l=n[s>>2]|0,(l&3|0)!=3){k=B,l=m;break}n[2785]=m,n[s>>2]=l&-2,n[B+4>>2]=m|1,n[B+m>>2]=m;return}if(c=f>>>3,f>>>0<256)if(s=n[B+8>>2]|0,l=n[B+12>>2]|0,(l|0)==(s|0)){n[2783]=n[2783]&~(1<>2]=l,n[l+8>>2]=s,k=B,l=m;break}d=n[B+24>>2]|0,s=n[B+12>>2]|0;do if((s|0)==(B|0)){if(c=B+16|0,l=c+4|0,s=n[l>>2]|0,!s)if(s=n[c>>2]|0,s)l=c;else{s=0;break}for(;;){if(c=s+20|0,f=n[c>>2]|0,f|0){s=f,l=c;continue}if(c=s+16|0,f=n[c>>2]|0,f)s=f,l=c;else break}n[l>>2]=0}else k=n[B+8>>2]|0,n[k+12>>2]=s,n[s+8>>2]=k;while(0);if(d){if(l=n[B+28>>2]|0,c=11436+(l<<2)|0,(B|0)==(n[c>>2]|0)){if(n[c>>2]=s,!s){n[2784]=n[2784]&~(1<>2]|0)!=(B|0)&1)<<2)>>2]=s,!s){k=B,l=m;break}n[s+24>>2]=d,l=B+16|0,c=n[l>>2]|0,c|0&&(n[s+16>>2]=c,n[c+24>>2]=s),l=n[l+4>>2]|0,l?(n[s+20>>2]=l,n[l+24>>2]=s,k=B,l=m):(k=B,l=m)}else k=B,l=m}while(0);if(!(B>>>0>=Q>>>0)&&(s=Q+4|0,f=n[s>>2]|0,!!(f&1))){if(f&2)n[s>>2]=f&-2,n[k+4>>2]=l|1,n[B+l>>2]=l,d=l;else{if(s=n[2788]|0,(Q|0)==(n[2789]|0)){if(Q=(n[2786]|0)+l|0,n[2786]=Q,n[2789]=k,n[k+4>>2]=Q|1,(k|0)!=(s|0))return;n[2788]=0,n[2785]=0;return}if((Q|0)==(s|0)){Q=(n[2785]|0)+l|0,n[2785]=Q,n[2788]=B,n[k+4>>2]=Q|1,n[B+Q>>2]=Q;return}d=(f&-8)+l|0,c=f>>>3;do if(f>>>0<256)if(l=n[Q+8>>2]|0,s=n[Q+12>>2]|0,(s|0)==(l|0)){n[2783]=n[2783]&~(1<>2]=s,n[s+8>>2]=l;break}else{m=n[Q+24>>2]|0,s=n[Q+12>>2]|0;do if((s|0)==(Q|0)){if(c=Q+16|0,l=c+4|0,s=n[l>>2]|0,!s)if(s=n[c>>2]|0,s)l=c;else{c=0;break}for(;;){if(c=s+20|0,f=n[c>>2]|0,f|0){s=f,l=c;continue}if(c=s+16|0,f=n[c>>2]|0,f)s=f,l=c;else break}n[l>>2]=0,c=s}else c=n[Q+8>>2]|0,n[c+12>>2]=s,n[s+8>>2]=c,c=s;while(0);if(m|0){if(s=n[Q+28>>2]|0,l=11436+(s<<2)|0,(Q|0)==(n[l>>2]|0)){if(n[l>>2]=c,!c){n[2784]=n[2784]&~(1<>2]|0)!=(Q|0)&1)<<2)>>2]=c,!c)break;n[c+24>>2]=m,s=Q+16|0,l=n[s>>2]|0,l|0&&(n[c+16>>2]=l,n[l+24>>2]=c),s=n[s+4>>2]|0,s|0&&(n[c+20>>2]=s,n[s+24>>2]=c)}}while(0);if(n[k+4>>2]=d|1,n[B+d>>2]=d,(k|0)==(n[2788]|0)){n[2785]=d;return}}if(s=d>>>3,d>>>0<256){c=11172+(s<<1<<2)|0,l=n[2783]|0,s=1<>2]|0):(n[2783]=l|s,s=c,l=c+8|0),n[l>>2]=k,n[s+12>>2]=k,n[k+8>>2]=s,n[k+12>>2]=c;return}s=d>>>8,s?d>>>0>16777215?s=31:(B=(s+1048320|0)>>>16&8,Q=s<>>16&4,Q=Q<>>16&2,s=14-(m|B|s)+(Q<>>15)|0,s=d>>>(s+7|0)&1|s<<1):s=0,f=11436+(s<<2)|0,n[k+28>>2]=s,n[k+20>>2]=0,n[k+16>>2]=0,l=n[2784]|0,c=1<>>1)|0),c=n[f>>2]|0;;){if((n[c+4>>2]&-8|0)==(d|0)){s=73;break}if(f=c+16+(l>>>31<<2)|0,s=n[f>>2]|0,s)l=l<<1,c=s;else{s=72;break}}if((s|0)==72){n[f>>2]=k,n[k+24>>2]=c,n[k+12>>2]=k,n[k+8>>2]=k;break}else if((s|0)==73){B=c+8|0,Q=n[B>>2]|0,n[Q+12>>2]=k,n[B>>2]=k,n[k+8>>2]=Q,n[k+12>>2]=c,n[k+24>>2]=0;break}}else n[2784]=l|c,n[f>>2]=k,n[k+24>>2]=f,n[k+12>>2]=k,n[k+8>>2]=k;while(0);if(Q=(n[2791]|0)+-1|0,n[2791]=Q,!Q)s=11588;else return;for(;s=n[s>>2]|0,s;)s=s+8|0;n[2791]=-1}}}function kUe(){return 11628}function QUe(s){s=s|0;var l=0,c=0;return l=C,C=C+16|0,c=l,n[c>>2]=RUe(n[s+60>>2]|0)|0,s=gD(hc(6,c|0)|0)|0,C=l,s|0}function s7(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0,Ge=0;q=C,C=C+48|0,O=q+16|0,m=q,d=q+32|0,k=s+28|0,f=n[k>>2]|0,n[d>>2]=f,Q=s+20|0,f=(n[Q>>2]|0)-f|0,n[d+4>>2]=f,n[d+8>>2]=l,n[d+12>>2]=c,f=f+c|0,B=s+60|0,n[m>>2]=n[B>>2],n[m+4>>2]=d,n[m+8>>2]=2,m=gD(Li(146,m|0)|0)|0;e:do if((f|0)!=(m|0)){for(l=2;!((m|0)<0);)if(f=f-m|0,Ge=n[d+4>>2]|0,se=m>>>0>Ge>>>0,d=se?d+8|0:d,l=(se<<31>>31)+l|0,Ge=m-(se?Ge:0)|0,n[d>>2]=(n[d>>2]|0)+Ge,se=d+4|0,n[se>>2]=(n[se>>2]|0)-Ge,n[O>>2]=n[B>>2],n[O+4>>2]=d,n[O+8>>2]=l,m=gD(Li(146,O|0)|0)|0,(f|0)==(m|0)){M=3;break e}n[s+16>>2]=0,n[k>>2]=0,n[Q>>2]=0,n[s>>2]=n[s>>2]|32,(l|0)==2?c=0:c=c-(n[d+4>>2]|0)|0}else M=3;while(0);return(M|0)==3&&(Ge=n[s+44>>2]|0,n[s+16>>2]=Ge+(n[s+48>>2]|0),n[k>>2]=Ge,n[Q>>2]=Ge),C=q,c|0}function FUe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0;return d=C,C=C+32|0,m=d,f=d+20|0,n[m>>2]=n[s+60>>2],n[m+4>>2]=0,n[m+8>>2]=l,n[m+12>>2]=f,n[m+16>>2]=c,(gD(sa(140,m|0)|0)|0)<0?(n[f>>2]=-1,s=-1):s=n[f>>2]|0,C=d,s|0}function gD(s){return s=s|0,s>>>0>4294963200&&(n[(Vm()|0)>>2]=0-s,s=-1),s|0}function Vm(){return(TUe()|0)+64|0}function TUe(){return xT()|0}function xT(){return 2084}function RUe(s){return s=s|0,s|0}function NUe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0;return d=C,C=C+32|0,f=d,n[s+36>>2]=1,(n[s>>2]&64|0)==0&&(n[f>>2]=n[s+60>>2],n[f+4>>2]=21523,n[f+8>>2]=d+16,fu(54,f|0)|0)&&(o[s+75>>0]=-1),f=s7(s,l,c)|0,C=d,f|0}function o7(s,l){s=s|0,l=l|0;var c=0,f=0;if(c=o[s>>0]|0,f=o[l>>0]|0,c<<24>>24==0||c<<24>>24!=f<<24>>24)s=f;else{do s=s+1|0,l=l+1|0,c=o[s>>0]|0,f=o[l>>0]|0;while(!(c<<24>>24==0||c<<24>>24!=f<<24>>24));s=f}return(c&255)-(s&255)|0}function LUe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0;e:do if(!c)s=0;else{for(;f=o[s>>0]|0,d=o[l>>0]|0,f<<24>>24==d<<24>>24;)if(c=c+-1|0,c)s=s+1|0,l=l+1|0;else{s=0;break e}s=(f&255)-(d&255)|0}while(0);return s|0}function a7(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0,Ge=0,Oe=0,Fe=0;Fe=C,C=C+224|0,M=Fe+120|0,q=Fe+80|0,Ge=Fe,Oe=Fe+136|0,f=q,d=f+40|0;do n[f>>2]=0,f=f+4|0;while((f|0)<(d|0));return n[M>>2]=n[c>>2],(bT(0,l,M,Ge,q)|0)<0?c=-1:((n[s+76>>2]|0)>-1?se=MUe(s)|0:se=0,c=n[s>>2]|0,O=c&32,(o[s+74>>0]|0)<1&&(n[s>>2]=c&-33),f=s+48|0,n[f>>2]|0?c=bT(s,l,M,Ge,q)|0:(d=s+44|0,m=n[d>>2]|0,n[d>>2]=Oe,B=s+28|0,n[B>>2]=Oe,k=s+20|0,n[k>>2]=Oe,n[f>>2]=80,Q=s+16|0,n[Q>>2]=Oe+80,c=bT(s,l,M,Ge,q)|0,m&&(ED[n[s+36>>2]&7](s,0,0)|0,c=(n[k>>2]|0)==0?-1:c,n[d>>2]=m,n[f>>2]=0,n[Q>>2]=0,n[B>>2]=0,n[k>>2]=0)),f=n[s>>2]|0,n[s>>2]=f|O,se|0&&OUe(s),c=(f&32|0)==0?c:-1),C=Fe,c|0}function bT(s,l,c,f,d){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0;var m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0,Ge=0,Oe=0,Fe=0,et=0,Xe=0,at=0,Ue=0,qe=0,Lt=0,Or=0,or=0,Xt=0,Pr=0,Nr=0,ir=0;ir=C,C=C+64|0,or=ir+16|0,Xt=ir,Lt=ir+24|0,Pr=ir+8|0,Nr=ir+20|0,n[or>>2]=l,at=(s|0)!=0,Ue=Lt+40|0,qe=Ue,Lt=Lt+39|0,Or=Pr+4|0,B=0,m=0,M=0;e:for(;;){do if((m|0)>-1)if((B|0)>(2147483647-m|0)){n[(Vm()|0)>>2]=75,m=-1;break}else{m=B+m|0;break}while(0);if(B=o[l>>0]|0,B<<24>>24)k=l;else{Xe=87;break}t:for(;;){switch(B<<24>>24){case 37:{B=k,Xe=9;break t}case 0:{B=k;break t}default:}et=k+1|0,n[or>>2]=et,B=o[et>>0]|0,k=et}t:do if((Xe|0)==9)for(;;){if(Xe=0,(o[k+1>>0]|0)!=37)break t;if(B=B+1|0,k=k+2|0,n[or>>2]=k,(o[k>>0]|0)==37)Xe=9;else break}while(0);if(B=B-l|0,at&&ss(s,l,B),B|0){l=k;continue}Q=k+1|0,B=(o[Q>>0]|0)+-48|0,B>>>0<10?(et=(o[k+2>>0]|0)==36,Fe=et?B:-1,M=et?1:M,Q=et?k+3|0:Q):Fe=-1,n[or>>2]=Q,B=o[Q>>0]|0,k=(B<<24>>24)+-32|0;t:do if(k>>>0<32)for(O=0,q=B;;){if(B=1<>2]=Q,B=o[Q>>0]|0,k=(B<<24>>24)+-32|0,k>>>0>=32)break;q=B}else O=0;while(0);if(B<<24>>24==42){if(k=Q+1|0,B=(o[k>>0]|0)+-48|0,B>>>0<10&&(o[Q+2>>0]|0)==36)n[d+(B<<2)>>2]=10,B=n[f+((o[k>>0]|0)+-48<<3)>>2]|0,M=1,Q=Q+3|0;else{if(M|0){m=-1;break}at?(M=(n[c>>2]|0)+(4-1)&~(4-1),B=n[M>>2]|0,n[c>>2]=M+4,M=0,Q=k):(B=0,M=0,Q=k)}n[or>>2]=Q,et=(B|0)<0,B=et?0-B|0:B,O=et?O|8192:O}else{if(B=l7(or)|0,(B|0)<0){m=-1;break}Q=n[or>>2]|0}do if((o[Q>>0]|0)==46){if((o[Q+1>>0]|0)!=42){n[or>>2]=Q+1,k=l7(or)|0,Q=n[or>>2]|0;break}if(q=Q+2|0,k=(o[q>>0]|0)+-48|0,k>>>0<10&&(o[Q+3>>0]|0)==36){n[d+(k<<2)>>2]=10,k=n[f+((o[q>>0]|0)+-48<<3)>>2]|0,Q=Q+4|0,n[or>>2]=Q;break}if(M|0){m=-1;break e}at?(et=(n[c>>2]|0)+(4-1)&~(4-1),k=n[et>>2]|0,n[c>>2]=et+4):k=0,n[or>>2]=q,Q=q}else k=-1;while(0);for(Oe=0;;){if(((o[Q>>0]|0)+-65|0)>>>0>57){m=-1;break e}if(et=Q+1|0,n[or>>2]=et,q=o[(o[Q>>0]|0)+-65+(5178+(Oe*58|0))>>0]|0,se=q&255,(se+-1|0)>>>0<8)Oe=se,Q=et;else break}if(!(q<<24>>24)){m=-1;break}Ge=(Fe|0)>-1;do if(q<<24>>24==19)if(Ge){m=-1;break e}else Xe=49;else{if(Ge){n[d+(Fe<<2)>>2]=se,Ge=f+(Fe<<3)|0,Fe=n[Ge+4>>2]|0,Xe=Xt,n[Xe>>2]=n[Ge>>2],n[Xe+4>>2]=Fe,Xe=49;break}if(!at){m=0;break e}c7(Xt,se,c)}while(0);if((Xe|0)==49&&(Xe=0,!at)){B=0,l=et;continue}Q=o[Q>>0]|0,Q=(Oe|0)!=0&(Q&15|0)==3?Q&-33:Q,Ge=O&-65537,Fe=(O&8192|0)==0?O:Ge;t:do switch(Q|0){case 110:switch((Oe&255)<<24>>24){case 0:{n[n[Xt>>2]>>2]=m,B=0,l=et;continue e}case 1:{n[n[Xt>>2]>>2]=m,B=0,l=et;continue e}case 2:{B=n[Xt>>2]|0,n[B>>2]=m,n[B+4>>2]=((m|0)<0)<<31>>31,B=0,l=et;continue e}case 3:{a[n[Xt>>2]>>1]=m,B=0,l=et;continue e}case 4:{o[n[Xt>>2]>>0]=m,B=0,l=et;continue e}case 6:{n[n[Xt>>2]>>2]=m,B=0,l=et;continue e}case 7:{B=n[Xt>>2]|0,n[B>>2]=m,n[B+4>>2]=((m|0)<0)<<31>>31,B=0,l=et;continue e}default:{B=0,l=et;continue e}}case 112:{Q=120,k=k>>>0>8?k:8,l=Fe|8,Xe=61;break}case 88:case 120:{l=Fe,Xe=61;break}case 111:{Q=Xt,l=n[Q>>2]|0,Q=n[Q+4>>2]|0,se=_Ue(l,Q,Ue)|0,Ge=qe-se|0,O=0,q=5642,k=(Fe&8|0)==0|(k|0)>(Ge|0)?k:Ge+1|0,Ge=Fe,Xe=67;break}case 105:case 100:if(Q=Xt,l=n[Q>>2]|0,Q=n[Q+4>>2]|0,(Q|0)<0){l=dD(0,0,l|0,Q|0)|0,Q=De,O=Xt,n[O>>2]=l,n[O+4>>2]=Q,O=1,q=5642,Xe=66;break t}else{O=(Fe&2049|0)!=0&1,q=(Fe&2048|0)==0?(Fe&1|0)==0?5642:5644:5643,Xe=66;break t}case 117:{Q=Xt,O=0,q=5642,l=n[Q>>2]|0,Q=n[Q+4>>2]|0,Xe=66;break}case 99:{o[Lt>>0]=n[Xt>>2],l=Lt,O=0,q=5642,se=Ue,Q=1,k=Ge;break}case 109:{Q=HUe(n[(Vm()|0)>>2]|0)|0,Xe=71;break}case 115:{Q=n[Xt>>2]|0,Q=Q|0?Q:5652,Xe=71;break}case 67:{n[Pr>>2]=n[Xt>>2],n[Or>>2]=0,n[Xt>>2]=Pr,se=-1,Q=Pr,Xe=75;break}case 83:{l=n[Xt>>2]|0,k?(se=k,Q=l,Xe=75):(Bs(s,32,B,0,Fe),l=0,Xe=84);break}case 65:case 71:case 70:case 69:case 97:case 103:case 102:case 101:{B=qUe(s,+E[Xt>>3],B,k,Fe,Q)|0,l=et;continue e}default:O=0,q=5642,se=Ue,Q=k,k=Fe}while(0);t:do if((Xe|0)==61)Fe=Xt,Oe=n[Fe>>2]|0,Fe=n[Fe+4>>2]|0,se=UUe(Oe,Fe,Ue,Q&32)|0,q=(l&8|0)==0|(Oe|0)==0&(Fe|0)==0,O=q?0:2,q=q?5642:5642+(Q>>4)|0,Ge=l,l=Oe,Q=Fe,Xe=67;else if((Xe|0)==66)se=Km(l,Q,Ue)|0,Ge=Fe,Xe=67;else if((Xe|0)==71)Xe=0,Fe=jUe(Q,0,k)|0,Oe=(Fe|0)==0,l=Q,O=0,q=5642,se=Oe?Q+k|0:Fe,Q=Oe?k:Fe-Q|0,k=Ge;else if((Xe|0)==75){for(Xe=0,q=Q,l=0,k=0;O=n[q>>2]|0,!(!O||(k=u7(Nr,O)|0,(k|0)<0|k>>>0>(se-l|0)>>>0));)if(l=k+l|0,se>>>0>l>>>0)q=q+4|0;else break;if((k|0)<0){m=-1;break e}if(Bs(s,32,B,l,Fe),!l)l=0,Xe=84;else for(O=0;;){if(k=n[Q>>2]|0,!k){Xe=84;break t}if(k=u7(Nr,k)|0,O=k+O|0,(O|0)>(l|0)){Xe=84;break t}if(ss(s,Nr,k),O>>>0>=l>>>0){Xe=84;break}else Q=Q+4|0}}while(0);if((Xe|0)==67)Xe=0,Q=(l|0)!=0|(Q|0)!=0,Fe=(k|0)!=0|Q,Q=((Q^1)&1)+(qe-se)|0,l=Fe?se:Ue,se=Ue,Q=Fe?(k|0)>(Q|0)?k:Q:k,k=(k|0)>-1?Ge&-65537:Ge;else if((Xe|0)==84){Xe=0,Bs(s,32,B,l,Fe^8192),B=(B|0)>(l|0)?B:l,l=et;continue}Oe=se-l|0,Ge=(Q|0)<(Oe|0)?Oe:Q,Fe=Ge+O|0,B=(B|0)<(Fe|0)?Fe:B,Bs(s,32,B,Fe,k),ss(s,q,O),Bs(s,48,B,Fe,k^65536),Bs(s,48,Ge,Oe,0),ss(s,l,Oe),Bs(s,32,B,Fe,k^8192),l=et}e:do if((Xe|0)==87&&!s)if(!M)m=0;else{for(m=1;l=n[d+(m<<2)>>2]|0,!!l;)if(c7(f+(m<<3)|0,l,c),m=m+1|0,(m|0)>=10){m=1;break e}for(;;){if(n[d+(m<<2)>>2]|0){m=-1;break e}if(m=m+1|0,(m|0)>=10){m=1;break}}}while(0);return C=ir,m|0}function MUe(s){return s=s|0,0}function OUe(s){s=s|0}function ss(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]&32||ZUe(l,c,s)|0}function l7(s){s=s|0;var l=0,c=0,f=0;if(c=n[s>>2]|0,f=(o[c>>0]|0)+-48|0,f>>>0<10){l=0;do l=f+(l*10|0)|0,c=c+1|0,n[s>>2]=c,f=(o[c>>0]|0)+-48|0;while(f>>>0<10)}else l=0;return l|0}function c7(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0;e:do if(l>>>0<=20)do switch(l|0){case 9:{f=(n[c>>2]|0)+(4-1)&~(4-1),l=n[f>>2]|0,n[c>>2]=f+4,n[s>>2]=l;break e}case 10:{f=(n[c>>2]|0)+(4-1)&~(4-1),l=n[f>>2]|0,n[c>>2]=f+4,f=s,n[f>>2]=l,n[f+4>>2]=((l|0)<0)<<31>>31;break e}case 11:{f=(n[c>>2]|0)+(4-1)&~(4-1),l=n[f>>2]|0,n[c>>2]=f+4,f=s,n[f>>2]=l,n[f+4>>2]=0;break e}case 12:{f=(n[c>>2]|0)+(8-1)&~(8-1),l=f,d=n[l>>2]|0,l=n[l+4>>2]|0,n[c>>2]=f+8,f=s,n[f>>2]=d,n[f+4>>2]=l;break e}case 13:{d=(n[c>>2]|0)+(4-1)&~(4-1),f=n[d>>2]|0,n[c>>2]=d+4,f=(f&65535)<<16>>16,d=s,n[d>>2]=f,n[d+4>>2]=((f|0)<0)<<31>>31;break e}case 14:{d=(n[c>>2]|0)+(4-1)&~(4-1),f=n[d>>2]|0,n[c>>2]=d+4,d=s,n[d>>2]=f&65535,n[d+4>>2]=0;break e}case 15:{d=(n[c>>2]|0)+(4-1)&~(4-1),f=n[d>>2]|0,n[c>>2]=d+4,f=(f&255)<<24>>24,d=s,n[d>>2]=f,n[d+4>>2]=((f|0)<0)<<31>>31;break e}case 16:{d=(n[c>>2]|0)+(4-1)&~(4-1),f=n[d>>2]|0,n[c>>2]=d+4,d=s,n[d>>2]=f&255,n[d+4>>2]=0;break e}case 17:{d=(n[c>>2]|0)+(8-1)&~(8-1),m=+E[d>>3],n[c>>2]=d+8,E[s>>3]=m;break e}case 18:{d=(n[c>>2]|0)+(8-1)&~(8-1),m=+E[d>>3],n[c>>2]=d+8,E[s>>3]=m;break e}default:break e}while(0);while(0)}function UUe(s,l,c,f){if(s=s|0,l=l|0,c=c|0,f=f|0,!((s|0)==0&(l|0)==0))do c=c+-1|0,o[c>>0]=u[5694+(s&15)>>0]|0|f,s=mD(s|0,l|0,4)|0,l=De;while(!((s|0)==0&(l|0)==0));return c|0}function _Ue(s,l,c){if(s=s|0,l=l|0,c=c|0,!((s|0)==0&(l|0)==0))do c=c+-1|0,o[c>>0]=s&7|48,s=mD(s|0,l|0,3)|0,l=De;while(!((s|0)==0&(l|0)==0));return c|0}function Km(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;if(l>>>0>0|(l|0)==0&s>>>0>4294967295){for(;f=TT(s|0,l|0,10,0)|0,c=c+-1|0,o[c>>0]=f&255|48,f=s,s=FT(s|0,l|0,10,0)|0,l>>>0>9|(l|0)==9&f>>>0>4294967295;)l=De;l=s}else l=s;if(l)for(;c=c+-1|0,o[c>>0]=(l>>>0)%10|0|48,!(l>>>0<10);)l=(l>>>0)/10|0;return c|0}function HUe(s){return s=s|0,KUe(s,n[(VUe()|0)+188>>2]|0)|0}function jUe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;m=l&255,f=(c|0)!=0;e:do if(f&(s&3|0)!=0)for(d=l&255;;){if((o[s>>0]|0)==d<<24>>24){B=6;break 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B=0,k=0,Q=0,O=0,M=0,q=0,se=0,Ge=0,Oe=0,Fe=0,et=0,Xe=0,at=0,Ue=0,qe=0,Lt=0,Or=0,or=0,Xt=0,Pr=0,Nr=0,ir=0,bn=0;bn=C,C=C+560|0,Q=bn+8|0,et=bn,ir=bn+524|0,Nr=ir,O=bn+512|0,n[et>>2]=0,Pr=O+12|0,A7(l)|0,(De|0)<0?(l=-l,or=1,Or=5659):(or=(d&2049|0)!=0&1,Or=(d&2048|0)==0?(d&1|0)==0?5660:5665:5662),A7(l)|0,Xt=De&2146435072;do if(Xt>>>0<2146435072|(Xt|0)==2146435072&0<0){if(Ge=+GUe(l,et)*2,B=Ge!=0,B&&(n[et>>2]=(n[et>>2]|0)+-1),at=m|32,(at|0)==97){Oe=m&32,se=(Oe|0)==0?Or:Or+9|0,q=or|2,B=12-f|0;do if(f>>>0>11|(B|0)==0)l=Ge;else{l=8;do B=B+-1|0,l=l*16;while((B|0)!=0);if((o[se>>0]|0)==45){l=-(l+(-Ge-l));break}else{l=Ge+l-l;break}}while(0);k=n[et>>2]|0,B=(k|0)<0?0-k|0:k,B=Km(B,((B|0)<0)<<31>>31,Pr)|0,(B|0)==(Pr|0)&&(B=O+11|0,o[B>>0]=48),o[B+-1>>0]=(k>>31&2)+43,M=B+-2|0,o[M>>0]=m+15,O=(f|0)<1,Q=(d&8|0)==0,B=ir;do 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w7=[R3e,YLe],I7=[N3e,fo],B7=[ma,xw,bw,wF,IF,Dl,kw,BF,Hm,xu,Fw,vF,$v,WA,eD,jm,tD,rD,qm,ma,ma,ma,ma,ma,ma,ma,ma,ma,ma,ma,ma,ma],v7=[L3e],ef=[Er,Jm,DDe,PDe,SDe,rbe,nbe,ibe,CNe,wNe,INe,FLe,TLe,RLe,eUe,tUe,rUe,hs,Kv,_m,YA,Qw,wve,Ive,gDe,NDe,VDe,APe,SPe,GPe,aSe,ISe,MSe,$Se,gxe,Qxe,Vxe,wbe,Mbe,$be,gke,Qke,Vke,fQe,SQe,HQe,nFe,Sc,RFe,zFe,gTe,TTe,KTe,gRe,DRe,xRe,YRe,KRe,ANe,vNe,SNe,GNe,lLe,a5,qMe,COe,NOe,zOe,y4e,T4e,G4e,V4e,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er],tf=[Ow,hF,gF,Sw,Su,dF,mF,Ip,yF,EF,CF,Zv,VA,Ke,At,Wt,vr,Sn,Fr,PF,lve,Qve,dQe,kQe,MTe,WMe,dLe,Y9,Ow,Ow,Ow,Ow],Ng=[Ja,QUe,pF,D,fe,ve,vt,wt,bt,_r,di,po,sve,ove,Bve,oFe,ZTe,VNe,zMe,Wa,Ja,Ja,Ja,Ja,Ja,Ja,Ja,Ja,Ja,Ja,Ja,Ja],D7=[M3e,vve],z3e=[O3e,hNe],ED=[U3e,s7,FUe,NUe,KPe,Dbe,OFe,e4e],X3e=[_3e,Exe],P7=[Rg,Yo,rt,xn,Dve,Pve,Sve,xve,bve,kve,Rg,Rg,Rg,Rg,Rg,Rg],Z3e=[H3e,IRe],NT=[Uw,r3e,ave,EDe,gPe,uSe,DSe,Xxe,Hbe,YQe,Wv,UOe,Uw,Uw,Uw,Uw],$3e=[j3e,XDe],e_e=[q3e,I4e],S7=[RT,ai,Fve,Tve,Rve,Nxe,RT,RT],CD=[G3e,Nve,Dw,ga,FRe,ZRe,QNe,X4e],x7=[Y3e,Ew],t_e=[W3e,Eke],b7=[V3e,cve],_w=[yD,R,is,en,ho,QPe,_Se,Nke,Xke,Um,hMe,vOe,M4e,yD,yD,yD],k7=[K3e],Q7=[Xm,Jv,zv,Xv,GA,nD,DF,P,nke,eTe,yRe,Xm,Xm,Xm,Xm,Xm],r_e=[J3e,yNe],LT=[Zm,nxe,hFe,ETe,aRe,ORe,iNe,ONe,pLe,rOe,lUe,Zm,Zm,Zm,Zm,Zm];return{_llvm_bswap_i32:C7,dynCall_idd:F3e,dynCall_i:D3e,_i64Subtract:dD,___udivdi3:FT,dynCall_vif:c3e,setThrew:hu,dynCall_viii:b3e,_bitshift64Lshr:mD,_bitshift64Shl:m7,dynCall_vi:f3e,dynCall_viiddi:I3e,dynCall_diii:y3e,dynCall_iii:w3e,_memset:zm,_sbrk:kp,_memcpy:Dr,__GLOBAL__sub_I_Yoga_cpp:Om,dynCall_vii:p3e,___uremdi3:TT,dynCall_vid:u3e,stackAlloc:lo,_nbind_init:EUe,getTempRet0:Ua,dynCall_di:E3e,dynCall_iid:C3e,setTempRet0:xA,_i64Add:QT,dynCall_fiff:A3e,dynCall_iiii:m3e,_emscripten_get_global_libc:kUe,dynCall_viid:Q3e,dynCall_viiid:S3e,dynCall_viififi:x3e,dynCall_ii:h3e,__GLOBAL__sub_I_Binding_cc:NMe,dynCall_viiii:T3e,dynCall_iiiiii:P3e,stackSave:gc,dynCall_viiiii:l3e,__GLOBAL__sub_I_nbind_cc:Lve,dynCall_vidd:d3e,_free:hD,runPostSets:a3e,dynCall_viiiiii:B3e,establishStackSpace:ji,_memmove:Mw,stackRestore:pu,_malloc:pD,__GLOBAL__sub_I_common_cc:tLe,dynCall_viddi:g3e,dynCall_dii:v3e,dynCall_v:k3e}}(Module.asmGlobalArg,Module.asmLibraryArg,buffer),_llvm_bswap_i32=Module._llvm_bswap_i32=asm._llvm_bswap_i32,getTempRet0=Module.getTempRet0=asm.getTempRet0,___udivdi3=Module.___udivdi3=asm.___udivdi3,setThrew=Module.setThrew=asm.setThrew,_bitshift64Lshr=Module._bitshift64Lshr=asm._bitshift64Lshr,_bitshift64Shl=Module._bitshift64Shl=asm._bitshift64Shl,_memset=Module._memset=asm._memset,_sbrk=Module._sbrk=asm._sbrk,_memcpy=Module._memcpy=asm._memcpy,stackAlloc=Module.stackAlloc=asm.stackAlloc,___uremdi3=Module.___uremdi3=asm.___uremdi3,_nbind_init=Module._nbind_init=asm._nbind_init,_i64Subtract=Module._i64Subtract=asm._i64Subtract,setTempRet0=Module.setTempRet0=asm.setTempRet0,_i64Add=Module._i64Add=asm._i64Add,_emscripten_get_global_libc=Module._emscripten_get_global_libc=asm._emscripten_get_global_libc,__GLOBAL__sub_I_Yoga_cpp=Module.__GLOBAL__sub_I_Yoga_cpp=asm.__GLOBAL__sub_I_Yoga_cpp,__GLOBAL__sub_I_Binding_cc=Module.__GLOBAL__sub_I_Binding_cc=asm.__GLOBAL__sub_I_Binding_cc,stackSave=Module.stackSave=asm.stackSave,__GLOBAL__sub_I_nbind_cc=Module.__GLOBAL__sub_I_nbind_cc=asm.__GLOBAL__sub_I_nbind_cc,_free=Module._free=asm._free,runPostSets=Module.runPostSets=asm.runPostSets,establishStackSpace=Module.establishStackSpace=asm.establishStackSpace,_memmove=Module._memmove=asm._memmove,stackRestore=Module.stackRestore=asm.stackRestore,_malloc=Module._malloc=asm._malloc,__GLOBAL__sub_I_common_cc=Module.__GLOBAL__sub_I_common_cc=asm.__GLOBAL__sub_I_common_cc,dynCall_viiiii=Module.dynCall_viiiii=asm.dynCall_viiiii,dynCall_vif=Module.dynCall_vif=asm.dynCall_vif,dynCall_vid=Module.dynCall_vid=asm.dynCall_vid,dynCall_fiff=Module.dynCall_fiff=asm.dynCall_fiff,dynCall_vi=Module.dynCall_vi=asm.dynCall_vi,dynCall_vii=Module.dynCall_vii=asm.dynCall_vii,dynCall_ii=Module.dynCall_ii=asm.dynCall_ii,dynCall_viddi=Module.dynCall_viddi=asm.dynCall_viddi,dynCall_vidd=Module.dynCall_vidd=asm.dynCall_vidd,dynCall_iiii=Module.dynCall_iiii=asm.dynCall_iiii,dynCall_diii=Module.dynCall_diii=asm.dynCall_diii,dynCall_di=Module.dynCall_di=asm.dynCall_di,dynCall_iid=Module.dynCall_iid=asm.dynCall_iid,dynCall_iii=Module.dynCall_iii=asm.dynCall_iii,dynCall_viiddi=Module.dynCall_viiddi=asm.dynCall_viiddi,dynCall_viiiiii=Module.dynCall_viiiiii=asm.dynCall_viiiiii,dynCall_dii=Module.dynCall_dii=asm.dynCall_dii,dynCall_i=Module.dynCall_i=asm.dynCall_i,dynCall_iiiiii=Module.dynCall_iiiiii=asm.dynCall_iiiiii,dynCall_viiid=Module.dynCall_viiid=asm.dynCall_viiid,dynCall_viififi=Module.dynCall_viififi=asm.dynCall_viififi,dynCall_viii=Module.dynCall_viii=asm.dynCall_viii,dynCall_v=Module.dynCall_v=asm.dynCall_v,dynCall_viid=Module.dynCall_viid=asm.dynCall_viid,dynCall_idd=Module.dynCall_idd=asm.dynCall_idd,dynCall_viiii=Module.dynCa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ExitStatus(t){this.name="ExitStatus",this.message="Program terminated with exit("+t+")",this.status=t}ExitStatus.prototype=new Error,ExitStatus.prototype.constructor=ExitStatus;var initialStackTop,preloadStartTime=null,calledMain=!1;dependenciesFulfilled=function t(){Module.calledRun||run(),Module.calledRun||(dependenciesFulfilled=t)},Module.callMain=Module.callMain=function t(e){e=e||[],ensureInitRuntime();var r=e.length+1;function o(){for(var p=0;p<4-1;p++)a.push(0)}var a=[allocate(intArrayFromString(Module.thisProgram),"i8",ALLOC_NORMAL)];o();for(var n=0;n0||(preRun(),runDependencies>0)||Module.calledRun)return;function e(){Module.calledRun||(Module.calledRun=!0,!ABORT&&(ensureInitRuntime(),preMain(),Module.onRuntimeInitialized&&Module.onRuntimeInitialized(),Module._main&&shouldRunNow&&Module.callMain(t),postRun()))}Module.setStatus?(Module.setStatus("Running..."),setTimeout(function(){setTimeout(function(){Module.setStatus("")},1),e()},1)):e()}Module.run=Module.run=run;function exit(t,e){e&&Module.noExitRuntime||(Module.noExitRuntime||(ABORT=!0,EXITSTATUS=t,STACKTOP=initialStackTop,exitRuntime(),Module.onExit&&Module.onExit(t)),ENVIRONMENT_IS_NODE&&process.exit(t),Module.quit(t,new ExitStatus(t)))}Module.exit=Module.exit=exit;var abortDecorators=[];function abort(t){Module.onAbort&&Module.onAbort(t),t!==void 0?(Module.print(t),Module.printErr(t),t=JSON.stringify(t)):t="",ABORT=!0,EXITSTATUS=1;var e=` +If this abort() is unexpected, build with -s ASSERTIONS=1 which can give more information.`,r="abort("+t+") at "+stackTrace()+e;throw abortDecorators&&abortDecorators.forEach(function(o){r=o(r,t)}),r}if(Module.abort=Module.abort=abort,Module.preInit)for(typeof Module.preInit=="function"&&(Module.preInit=[Module.preInit]);Module.preInit.length>0;)Module.preInit.pop()();var shouldRunNow=!0;Module.noInitialRun&&(shouldRunNow=!1),run()})});var om=_((wVt,OEe)=>{"use strict";var Jyt=LEe(),zyt=MEe(),Q6=!1,F6=null;zyt({},function(t,e){if(!Q6){if(Q6=!0,t)throw t;F6=e}});if(!Q6)throw new Error("Failed to load the yoga module - it needed to be loaded synchronously, but didn't");OEe.exports=Jyt(F6.bind,F6.lib)});var R6=_((IVt,T6)=>{"use strict";var UEe=t=>Number.isNaN(t)?!1:t>=4352&&(t<=4447||t===9001||t===9002||11904<=t&&t<=12871&&t!==12351||12880<=t&&t<=19903||19968<=t&&t<=42182||43360<=t&&t<=43388||44032<=t&&t<=55203||63744<=t&&t<=64255||65040<=t&&t<=65049||65072<=t&&t<=65131||65281<=t&&t<=65376||65504<=t&&t<=65510||110592<=t&&t<=110593||127488<=t&&t<=127569||131072<=t&&t<=262141);T6.exports=UEe;T6.exports.default=UEe});var HEe=_((BVt,_Ee)=>{"use strict";_Ee.exports=function(){return/\uD83C\uDFF4\uDB40\uDC67\uDB40\uDC62(?:\uDB40\uDC65\uDB40\uDC6E\uDB40\uDC67|\uDB40\uDC73\uDB40\uDC63\uDB40\uDC74|\uDB40\uDC77\uDB40\uDC6C\uDB40\uDC73)\uDB40\uDC7F|\uD83D\uDC68(?:\uD83C\uDFFC\u200D(?:\uD83E\uDD1D\u200D\uD83D\uDC68\uD83C\uDFFB|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E[\uDDAF-\uDDB3\uDDBC\uDDBD])|\uD83C\uDFFF\u200D(?:\uD83E\uDD1D\u200D\uD83D\uDC68(?:\uD83C[\uDFFB-\uDFFE])|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E[\uDDAF-\uDDB3\uDDBC\uDDBD])|\uD83C\uDFFE\u200D(?:\uD83E\uDD1D\u200D\uD83D\uDC68(?:\uD83C[\uDFFB-\uDFFD])|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E[\uDDAF-\uDDB3\uDDBC\uDDBD])|\uD83C\uDFFD\u200D(?:\uD83E\uDD1D\u200D\uD83D\uDC68(?:\uD83C[\uDFFB\uDFFC])|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E[\uDDAF-\uDDB3\uDDBC\uDDBD])|\u200D(?:\u2764\uFE0F\u200D(?:\uD83D\uDC8B\u200D)?\uD83D\uDC68|(?:\uD83D[\uDC68\uDC69])\u200D(?:\uD83D\uDC66\u200D\uD83D\uDC66|\uD83D\uDC67\u200D(?:\uD83D[\uDC66\uDC67]))|\uD83D\uDC66\u200D\uD83D\uDC66|\uD83D\uDC67\u200D(?:\uD83D[\uDC66\uDC67])|(?:\uD83D[\uDC68\uDC69])\u200D(?:\uD83D[\uDC66\uDC67])|[\u2695\u2696\u2708]\uFE0F|\uD83D[\uDC66\uDC67]|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E[\uDDAF-\uDDB3\uDDBC\uDDBD])|(?:\uD83C\uDFFB\u200D[\u2695\u2696\u2708]|\uD83C\uDFFF\u200D[\u2695\u2696\u2708]|\uD83C\uDFFE\u200D[\u2695\u2696\u2708]|\uD83C\uDFFD\u200D[\u2695\u2696\u2708]|\uD83C\uDFFC\u200D[\u2695\u2696\u2708])\uFE0F|\uD83C\uDFFB\u200D(?:\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E[\uDDAF-\uDDB3\uDDBC\uDDBD])|\uD83C[\uDFFB-\uDFFF])|(?:\uD83E\uDDD1\uD83C\uDFFB\u200D\uD83E\uDD1D\u200D\uD83E\uDDD1|\uD83D\uDC69\uD83C\uDFFC\u200D\uD83E\uDD1D\u200D\uD83D\uDC69)\uD83C\uDFFB|\uD83E\uDDD1(?:\uD83C\uDFFF\u200D\uD83E\uDD1D\u200D\uD83E\uDDD1(?:\uD83C[\uDFFB-\uDFFF])|\u200D\uD83E\uDD1D\u200D\uD83E\uDDD1)|(?:\uD83E\uDDD1\uD83C\uDFFE\u200D\uD83E\uDD1D\u200D\uD83E\uDDD1|\uD83D\uDC69\uD83C\uDFFF\u200D\uD83E\uDD1D\u200D(?:\uD83D[\uDC68\uDC69]))(?:\uD83C[\uDFFB-\uDFFE])|(?:\uD83E\uDDD1\uD83C\uDFFC\u200D\uD83E\uDD1D\u200D\uD83E\uDDD1|\uD83D\uDC69\uD83C\uDFFD\u200D\uD83E\uDD1D\u200D\uD83D\uDC69)(?:\uD83C[\uDFFB\uDFFC])|\uD83D\uDC69(?:\uD83C\uDFFE\u200D(?:\uD83E\uDD1D\u200D\uD83D\uDC68(?:\uD83C[\uDFFB-\uDFFD\uDFFF])|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E[\uDDAF-\uDDB3\uDDBC\uDDBD])|\uD83C\uDFFC\u200D(?:\uD83E\uDD1D\u200D\uD83D\uDC68(?:\uD83C[\uDFFB\uDFFD-\uDFFF])|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E[\uDDAF-\uDDB3\uDDBC\uDDBD])|\uD83C\uDFFB\u200D(?:\uD83E\uDD1D\u200D\uD83D\uDC68(?:\uD83C[\uDFFC-\uDFFF])|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E[\uDDAF-\uDDB3\uDDBC\uDDBD])|\uD83C\uDFFD\u200D(?:\uD83E\uDD1D\u200D\uD83D\uDC68(?:\uD83C[\uDFFB\uDFFC\uDFFE\uDFFF])|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E[\uDDAF-\uDDB3\uDDBC\uDDBD])|\u200D(?:\u2764\uFE0F\u200D(?:\uD83D\uDC8B\u200D(?:\uD83D[\uDC68\uDC69])|\uD83D[\uDC68\uDC69])|\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E[\uDDAF-\uDDB3\uDDBC\uDDBD])|\uD83C\uDFFF\u200D(?:\uD83C[\uDF3E\uDF73\uDF93\uDFA4\uDFA8\uDFEB\uDFED]|\uD83D[\uDCBB\uDCBC\uDD27\uDD2C\uDE80\uDE92]|\uD83E[\uDDAF-\uDDB3\uDDBC\uDDBD]))|\uD83D\uDC69\u200D\uD83D\uDC69\u200D(?:\uD83D\uDC66\u200D\uD83D\uDC66|\uD83D\uDC67\u200D(?:\uD83D[\uDC66\uDC67]))|(?:\uD83E\uDDD1\uD83C\uDFFD\u200D\uD83E\uDD1D\u200D\uD83E\uDDD1|\uD83D\uDC69\uD83C\uDFFE\u200D\uD83E\uDD1D\u200D\uD83D\uDC69)(?:\uD83C[\uDFFB-\uDFFD])|\uD83D\uDC69\u200D\uD83D\uDC66\u200D\uD83D\uDC66|\uD83D\uDC69\u200D\uD83D\uDC69\u200D(?:\uD83D[\uDC66\uDC67])|(?:\uD83D\uDC41\uFE0F\u200D\uD83D\uDDE8|\uD83D\uDC69(?:\uD83C\uDFFF\u200D[\u2695\u2696\u2708]|\uD83C\uDFFE\u200D[\u2695\u2696\u2708]|\uD83C\uDFFC\u200D[\u2695\u2696\u2708]|\uD83C\uDFFB\u200D[\u2695\u2696\u2708]|\uD83C\uDFFD\u200D[\u2695\u2696\u2708]|\u200D[\u2695\u2696\u2708])|(?:(?:\u26F9|\uD83C[\uDFCB\uDFCC]|\uD83D\uDD75)\uFE0F|\uD83D\uDC6F|\uD83E[\uDD3C\uDDDE\uDDDF])\u200D[\u2640\u2642]|(?:\u26F9|\uD83C[\uDFCB\uDFCC]|\uD83D\uDD75)(?:\uD83C[\uDFFB-\uDFFF])\u200D[\u2640\u2642]|(?:\uD83C[\uDFC3\uDFC4\uDFCA]|\uD83D[\uDC6E\uDC71\uDC73\uDC77\uDC81\uDC82\uDC86\uDC87\uDE45-\uDE47\uDE4B\uDE4D\uDE4E\uDEA3\uDEB4-\uDEB6]|\uD83E[\uDD26\uDD37-\uDD39\uDD3D\uDD3E\uDDB8\uDDB9\uDDCD-\uDDCF\uDDD6-\uDDDD])(?:(?:\uD83C[\uDFFB-\uDFFF])\u200D[\u2640\u2642]|\u200D[\u2640\u2642])|\uD83C\uDFF4\u200D\u2620)\uFE0F|\uD83D\uDC69\u200D\uD83D\uDC67\u200D(?:\uD83D[\uDC66\uDC67])|\uD83C\uDFF3\uFE0F\u200D\uD83C\uDF08|\uD83D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","base64")).toString()),Gj)});var VIe=_((wzt,WIe)=>{var $j=Symbol("arg flag"),Ma=class extends Error{constructor(e,r){super(e),this.name="ArgError",this.code=r,Object.setPrototypeOf(this,Ma.prototype)}};function iv(t,{argv:e=process.argv.slice(2),permissive:r=!1,stopAtPositional:o=!1}={}){if(!t)throw new Ma("argument specification object is required","ARG_CONFIG_NO_SPEC");let a={_:[]},n={},u={};for(let A of Object.keys(t)){if(!A)throw new Ma("argument key cannot be an empty string","ARG_CONFIG_EMPTY_KEY");if(A[0]!=="-")throw new Ma(`argument key must start with '-' but found: '${A}'`,"ARG_CONFIG_NONOPT_KEY");if(A.length===1)throw new Ma(`argument key must have a name; singular '-' keys are not allowed: ${A}`,"ARG_CONFIG_NONAME_KEY");if(typeof t[A]=="string"){n[A]=t[A];continue}let p=t[A],h=!1;if(Array.isArray(p)&&p.length===1&&typeof p[0]=="function"){let[E]=p;p=(I,v,b=[])=>(b.push(E(I,v,b[b.length-1])),b),h=E===Boolean||E[$j]===!0}else if(typeof p=="function")h=p===Boolean||p[$j]===!0;else throw new Ma(`type missing or not a function or valid array type: ${A}`,"ARG_CONFIG_VAD_TYPE");if(A[1]!=="-"&&A.length>2)throw new Ma(`short argument keys (with a single hyphen) must have only one character: ${A}`,"ARG_CONFIG_SHORTOPT_TOOLONG");u[A]=[p,h]}for(let A=0,p=e.length;A0){a._=a._.concat(e.slice(A));break}if(h==="--"){a._=a._.concat(e.slice(A+1));break}if(h.length>1&&h[0]==="-"){let E=h[1]==="-"||h.length===2?[h]:h.slice(1).split("").map(I=>`-${I}`);for(let I=0;I1&&e[A+1][0]==="-"&&!(e[A+1].match(/^-?\d*(\.(?=\d))?\d*$/)&&(L===Number||typeof BigInt<"u"&&L===BigInt))){let J=b===T?"":` (alias for ${T})`;throw new Ma(`option requires argument: ${b}${J}`,"ARG_MISSING_REQUIRED_LONGARG")}a[T]=L(e[A+1],T,a[T]),++A}else a[T]=L(C,T,a[T])}}else a._.push(h)}return a}iv.flag=t=>(t[$j]=!0,t);iv.COUNT=iv.flag((t,e,r)=>(r||0)+1);iv.ArgError=Ma;WIe.exports=iv});var t1e=_((Kzt,e1e)=>{var nq;e1e.exports=()=>(typeof nq>"u"&&(nq=Be("zlib").brotliDecompressSync(Buffer.from("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IBt(t){$r("readable nexttick read 0"),t.read(0)}mn.prototype.resume=function(){var t=this._readableState;return t.flowing||($r("resume"),t.flowing=!t.readableListening,BBt(this,t)),t.paused=!1,this};function BBt(t,e){e.resumeScheduled||(e.resumeScheduled=!0,process.nextTick(vBt,t,e))}function vBt(t,e){$r("resume",e.reading),e.reading||t.read(0),e.resumeScheduled=!1,t.emit("resume"),eG(t),e.flowing&&!e.reading&&t.read(0)}mn.prototype.pause=function(){return $r("call pause flowing=%j",this._readableState.flowing),this._readableState.flowing!==!1&&($r("pause"),this._readableState.flowing=!1,this.emit("pause")),this._readableState.paused=!0,this};function eG(t){var e=t._readableState;for($r("flow",e.flowing);e.flowing&&t.read()!==null;);}mn.prototype.wrap=function(t){var e=this,r=this._readableState,o=!1;t.on("end",function(){if($r("wrapped end"),r.decoder&&!r.ended){var u=r.decoder.end();u&&u.length&&e.push(u)}e.push(null)}),t.on("data",function(u){if($r("wrapped 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u<"u")te=u+te;else if(n!==!1){let ye=typeof n=="string"?n:A.range;te=O0e(ye,{project:r})+te}let pe=W.makeDescriptor(T,W.makeRange({protocol:L,source:U,params:J,selector:te}));(await E.getCandidates(r.configuration.normalizeDependency(pe),{},v)).length!==1&&(te=le)}return W.makeDescriptor(T,W.makeRange({protocol:L,source:U,params:J,selector:te}))}async function spt(t){return await oe.mktempPromise(async e=>{let r=Ve.create(e);return r.useWithSource(e,{enableMirror:!1,compressionLevel:0},e,{overwrite:!0}),await t(new Lr(e,{configuration:r,check:!1,immutable:!1}))})}var bh=class extends ut{constructor(){super(...arguments);this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.fixed=ge.Boolean("-F,--fixed",!1,{description:"Store dependency tags as-is instead of resolving them"});this.exact=ge.Boolean("-E,--exact",!1,{description:"Don't use any semver modifier on the resolved range"});this.tilde=ge.Boolean("-T,--tilde",!1,{description:"Use the `~` semver modifier on the resolved range"});this.caret=ge.Boolean("-C,--caret",!1,{description:"Use the `^` semver modifier on the resolved range"});this.dev=ge.Boolean("-D,--dev",!1,{description:"Add a package as a dev dependency"});this.peer=ge.Boolean("-P,--peer",!1,{description:"Add a package as a peer dependency"});this.optional=ge.Boolean("-O,--optional",!1,{description:"Add / upgrade a package to an optional regular / peer dependency"});this.preferDev=ge.Boolean("--prefer-dev",!1,{description:"Add / upgrade a package to a dev dependency"});this.interactive=ge.Boolean("-i,--interactive",{description:"Reuse the specified package from other workspaces in the project"});this.cached=ge.Boolean("--cached",!1,{description:"Reuse the highest version already used somewhere within the project"});this.mode=ge.String("--mode",{description:"Change what artifacts installs generate",validator:Vs(pl)});this.silent=ge.Boolean("--silent",{hidden:!0});this.packages=ge.Rest()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd),n=await Lr.find(r);if(!a)throw new rr(o.cwd,this.context.cwd);await o.restoreInstallState({restoreResolutions:!1});let u=this.fixed,A=this.interactive??r.get("preferInteractive"),p=A||r.get("preferReuse"),h=p2(this,o),E=[p?"reuse":void 0,"project",this.cached?"cache":void 0,"latest"].filter(U=>typeof U<"u"),I=A?1/0:1,v=await Promise.all(this.packages.map(async U=>{let J=U.match(/^\.{0,2}\//)?await P8(U,{cwd:this.context.cwd,workspace:a}):W.tryParseDescriptor(U),te=U.match(/^(https?:|git@github)/);if(te)throw new it(`It seems you are trying to add a package using a ${de.pretty(r,`${te[0]}...`,de.Type.RANGE)} url; we now require package names to be explicitly specified. +Try running the command again with the package name prefixed: ${de.pretty(r,"yarn add",de.Type.CODE)} ${de.pretty(r,W.makeDescriptor(W.makeIdent(null,"my-package"),`${te[0]}...`),de.Type.DESCRIPTOR)}`);if(!J)throw new it(`The ${de.pretty(r,U,de.Type.CODE)} string didn't match the required format (package-name@range). 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If the package was already listed in your `dependencies`, it will be upgraded to `optionalDependencies`. If the package was already listed in your `peerDependencies`, in combination with the `-P,--peer` flag, it will be upgraded to an optional peer dependency: `\"peerDependenciesMeta\": { \"\": { \"optional\": true } }`\n\n - If the added package doesn't specify a range at all its `latest` tag will be resolved and the returned version will be used to generate a new semver range (using the `^` modifier by default unless otherwise configured via the `defaultSemverRangePrefix` configuration, or the `~` modifier if `-T,--tilde` is specified, or no modifier at all if `-E,--exact` is specified). Two exceptions to this rule: the first one is that if the package is a workspace then its local version will be used, and the second one is that if you use `-P,--peer` the default range will be `*` and won't be resolved at all.\n\n - If the added package specifies a range (such as `^1.0.0`, `latest`, or `rc`), Yarn will add this range as-is in the resulting package.json entry (in particular, tags such as `rc` will be encoded as-is rather than being converted into a semver range).\n\n If the `--cached` option is used, Yarn will preferably reuse the highest version already used somewhere within the project, even if through a transitive dependency.\n\n If the `-i,--interactive` option is used (or if the `preferInteractive` settings is toggled on) the command will first try to check whether other workspaces in the project use the specified package and, if so, will offer to reuse them.\n\n If the `--mode=` option is set, Yarn will change which artifacts are generated. The modes currently supported are:\n\n - `skip-build` will not run the build scripts at all. Note that this is different from setting `enableScripts` to false because the latter will disable build scripts, and thus affect the content of the artifacts generated on disk, whereas the former will just disable the build step - but not the scripts themselves, which just won't run.\n\n - `update-lockfile` will skip the link step altogether, and only fetch packages that are missing from the lockfile (or that have no associated checksums). This mode is typically used by tools like Renovate or Dependabot to keep a lockfile up-to-date without incurring the full install cost.\n\n For a compilation of all the supported protocols, please consult the dedicated page from our website: https://yarnpkg.com/protocols.\n ",examples:[["Add a regular package to the current workspace","$0 add lodash"],["Add a specific version for a package to the current workspace","$0 add lodash@1.2.3"],["Add a package from a GitHub repository (the master branch) to the current workspace using a URL","$0 add lodash@https://github.com/lodash/lodash"],["Add a package from a GitHub repository (the master branch) to the current workspace using the GitHub protocol","$0 add lodash@github:lodash/lodash"],["Add a package from a GitHub repository (the master branch) to the current workspace using the GitHub protocol (shorthand)","$0 add lodash@lodash/lodash"],["Add a package from a specific branch of a GitHub repository to the current workspace using the GitHub protocol (shorthand)","$0 add lodash-es@lodash/lodash#es"]]});function opt(t,e,{dev:r,peer:o,preferDev:a,optional:n}){let u=t.manifest["dependencies"].has(e.identHash),A=t.manifest["devDependencies"].has(e.identHash),p=t.manifest["peerDependencies"].has(e.identHash);if((r||o)&&u)throw new it(`Package "${W.prettyIdent(t.project.configuration,e)}" is already listed as a regular dependency - remove the -D,-P flags or remove it from your dependencies first`);if(!r&&!o&&p)throw new it(`Package "${W.prettyIdent(t.project.configuration,e)}" is already listed as a peer dependency - use either of -D or -P, or remove it from your peer dependencies first`);if(n&&A)throw new it(`Package "${W.prettyIdent(t.project.configuration,e)}" is already listed as a dev dependency - remove the -O flag or remove it from your dev dependencies first`);if(n&&!o&&p)throw new it(`Package "${W.prettyIdent(t.project.configuration,e)}" is already listed as a peer dependency - remove the -O flag or add the -P flag or remove it from your peer dependencies first`);if((r||a)&&n)throw new it(`Package "${W.prettyIdent(t.project.configuration,e)}" cannot simultaneously be a dev dependency and an optional dependency`);let h=[];return o&&h.push("peerDependencies"),(r||a)&&h.push("devDependencies"),n&&h.push("dependencies"),h.length>0?h:A?["devDependencies"]:p?["peerDependencies"]:["dependencies"]}Ye();Ye();qt();var kh=class extends ut{constructor(){super(...arguments);this.verbose=ge.Boolean("-v,--verbose",!1,{description:"Print both the binary name and the locator of the package that provides the binary"});this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.name=ge.String({required:!1})}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,locator:a}=await St.find(r,this.context.cwd);if(await o.restoreInstallState(),this.name){let A=(await un.getPackageAccessibleBinaries(a,{project:o})).get(this.name);if(!A)throw new it(`Couldn't find a binary named "${this.name}" for package "${W.prettyLocator(r,a)}"`);let[,p]=A;return this.context.stdout.write(`${p} +`),0}return(await Nt.start({configuration:r,json:this.json,stdout:this.context.stdout},async u=>{let A=await un.getPackageAccessibleBinaries(a,{project:o}),h=Array.from(A.keys()).reduce((E,I)=>Math.max(E,I.length),0);for(let[E,[I,v]]of A)u.reportJson({name:E,source:W.stringifyIdent(I),path:v});if(this.verbose)for(let[E,[I]]of A)u.reportInfo(null,`${E.padEnd(h," ")} ${W.prettyLocator(r,I)}`);else for(let E of A.keys())u.reportInfo(null,E)})).exitCode()}};kh.paths=[["bin"]],kh.usage=nt.Usage({description:"get the path to a binary script",details:` + When used without arguments, this command will print the list of all the binaries available in the current workspace. Adding the \`-v,--verbose\` flag will cause the output to contain both the binary name and the locator of the package that provides the binary. + + When an argument is specified, this command will just print the path to the binary on the standard output and exit. Note that the reported path may be stored within a zip archive. + `,examples:[["List all the available binaries","$0 bin"],["Print the path to a specific binary","$0 bin eslint"]]});Ye();Pt();qt();var Qh=class extends ut{constructor(){super(...arguments);this.mirror=ge.Boolean("--mirror",!1,{description:"Remove the global cache files instead of the local cache files"});this.all=ge.Boolean("--all",!1,{description:"Remove both the global cache files and the local cache files of the current project"})}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),o=await Lr.find(r);return(await Nt.start({configuration:r,stdout:this.context.stdout},async()=>{let n=(this.all||this.mirror)&&o.mirrorCwd!==null,u=!this.mirror;n&&(await oe.removePromise(o.mirrorCwd),await r.triggerHook(A=>A.cleanGlobalArtifacts,r)),u&&await oe.removePromise(o.cwd)})).exitCode()}};Qh.paths=[["cache","clean"],["cache","clear"]],Qh.usage=nt.Usage({description:"remove the shared cache files",details:` + This command will remove all the files from the cache. + `,examples:[["Remove all the local archives","$0 cache clean"],["Remove all the archives stored in the ~/.yarn directory","$0 cache clean --mirror"]]});Ye();qt();var G0e=$e(g2()),x8=Be("util"),Fh=class extends ut{constructor(){super(...arguments);this.why=ge.Boolean("--why",!1,{description:"Print the explanation for why a setting has its value"});this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.unsafe=ge.Boolean("--no-redacted",!1,{description:"Don't redact secrets (such as tokens) from the output"});this.name=ge.String()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),o=this.name.replace(/[.[].*$/,""),a=this.name.replace(/^[^.[]*/,"");if(typeof r.settings.get(o)>"u")throw new it(`Couldn't find a configuration settings named "${o}"`);let u=r.getSpecial(o,{hideSecrets:!this.unsafe,getNativePaths:!0}),A=je.convertMapsToIndexableObjects(u),p=a?(0,G0e.default)(A,a):A,h=await Nt.start({configuration:r,includeFooter:!1,json:this.json,stdout:this.context.stdout},async E=>{E.reportJson(p)});if(!this.json){if(typeof p=="string")return this.context.stdout.write(`${p} +`),h.exitCode();x8.inspect.styles.name="cyan",this.context.stdout.write(`${(0,x8.inspect)(p,{depth:1/0,colors:r.get("enableColors"),compact:!1})} +`)}return h.exitCode()}};Fh.paths=[["config","get"]],Fh.usage=nt.Usage({description:"read a configuration settings",details:` + This command will print a configuration setting. + + Secrets (such as tokens) will be redacted from the output by default. If this behavior isn't desired, set the \`--no-redacted\` to get the untransformed value. + `,examples:[["Print a simple configuration setting","yarn config get yarnPath"],["Print a complex configuration setting","yarn config get packageExtensions"],["Print a nested field from the configuration",`yarn config get 'npmScopes["my-company"].npmRegistryServer'`],["Print a token from the configuration","yarn config get npmAuthToken --no-redacted"],["Print a configuration setting as JSON","yarn config get packageExtensions --json"]]});Ye();qt();var Rge=$e(F8()),Nge=$e(g2()),Lge=$e(T8()),R8=Be("util"),Th=class extends ut{constructor(){super(...arguments);this.json=ge.Boolean("--json",!1,{description:"Set complex configuration settings to JSON values"});this.home=ge.Boolean("-H,--home",!1,{description:"Update the home configuration instead of the project configuration"});this.name=ge.String();this.value=ge.String()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),o=()=>{if(!r.projectCwd)throw new it("This command must be run from within a project folder");return r.projectCwd},a=this.name.replace(/[.[].*$/,""),n=this.name.replace(/^[^.[]*\.?/,"");if(typeof r.settings.get(a)>"u")throw new it(`Couldn't find a configuration settings named "${a}"`);if(a==="enableStrictSettings")throw new it("This setting only affects the file it's in, and thus cannot be set from the CLI");let A=this.json?JSON.parse(this.value):this.value;await(this.home?C=>Ve.updateHomeConfiguration(C):C=>Ve.updateConfiguration(o(),C))(C=>{if(n){let T=(0,Rge.default)(C);return(0,Lge.default)(T,this.name,A),T}else return{...C,[a]:A}});let E=(await Ve.find(this.context.cwd,this.context.plugins)).getSpecial(a,{hideSecrets:!0,getNativePaths:!0}),I=je.convertMapsToIndexableObjects(E),v=n?(0,Nge.default)(I,n):I;return(await Nt.start({configuration:r,includeFooter:!1,stdout:this.context.stdout},async C=>{R8.inspect.styles.name="cyan",C.reportInfo(0,`Successfully set ${this.name} to ${(0,R8.inspect)(v,{depth:1/0,colors:r.get("enableColors"),compact:!1})}`)})).exitCode()}};Th.paths=[["config","set"]],Th.usage=nt.Usage({description:"change a configuration settings",details:` + This command will set a configuration setting. + + When used without the \`--json\` flag, it can only set a simple configuration setting (a string, a number, or a boolean). + + When used with the \`--json\` flag, it can set both simple and complex configuration settings, including Arrays and Objects. + `,examples:[["Set a simple configuration setting (a string, a number, or a boolean)","yarn config set initScope myScope"],["Set a simple configuration setting (a string, a number, or a boolean) using the `--json` flag",'yarn config set initScope --json \\"myScope\\"'],["Set a complex configuration setting (an Array) using the `--json` flag",`yarn config set unsafeHttpWhitelist --json '["*.example.com", 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nested configuration setting","yarn config unset npmScopes.company.npmRegistryServer"]]});Ye();Pt();qt();var hk=Be("util"),Nh=class extends ut{constructor(){super(...arguments);this.noDefaults=ge.Boolean("--no-defaults",!1,{description:"Omit the default values from the display"});this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.verbose=ge.Boolean("-v,--verbose",{hidden:!0});this.why=ge.Boolean("--why",{hidden:!0});this.names=ge.Rest()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins,{strict:!1}),o=await NE({configuration:r,stdout:this.context.stdout,forceError:this.json},[{option:this.verbose,message:"The --verbose option is deprecated, the settings' descriptions are now always displayed"},{option:this.why,message:"The --why option is deprecated, the settings' sources are now always displayed"}]);if(o!==null)return o;let a=this.names.length>0?[...new Set(this.names)].sort():[...r.settings.keys()].sort(),n,u=await Nt.start({configuration:r,json:this.json,stdout:this.context.stdout,includeFooter:!1},async A=>{if(r.invalid.size>0&&!this.json){for(let[p,h]of r.invalid)A.reportError(34,`Invalid configuration key "${p}" in ${h}`);A.reportSeparator()}if(this.json)for(let p of a){let h=r.settings.get(p);typeof h>"u"&&A.reportError(34,`No configuration key named "${p}"`);let E=r.getSpecial(p,{hideSecrets:!0,getNativePaths:!0}),I=r.sources.get(p)??"",v=I&&I[0]!=="<"?ue.fromPortablePath(I):I;A.reportJson({key:p,effective:E,source:v,...h})}else{let p={breakLength:1/0,colors:r.get("enableColors"),maxArrayLength:2},h={},E={children:h};for(let I of a){if(this.noDefaults&&!r.sources.has(I))continue;let 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u.exitCode()}};Nh.paths=[["config"]],Nh.usage=nt.Usage({description:"display the current configuration",details:` + This command prints the current active configuration settings. + `,examples:[["Print the active configuration settings","$0 config"]]});Ye();qt();Za();var gk={};Kt(gk,{Strategy:()=>d2,acceptedStrategies:()=>j0t,dedupe:()=>M8});Ye();Ye();var zge=$e(Zo()),d2=(e=>(e.HIGHEST="highest",e))(d2||{}),j0t=new Set(Object.values(d2)),q0t={highest:async(t,e,{resolver:r,fetcher:o,resolveOptions:a,fetchOptions:n})=>{let u=new Map;for(let[p,h]of t.storedResolutions){let E=t.storedDescriptors.get(p);if(typeof E>"u")throw new Error(`Assertion failed: The descriptor (${p}) should have been registered`);je.getSetWithDefault(u,E.identHash).add(h)}let A=new Map(je.mapAndFilter(t.storedDescriptors.values(),p=>W.isVirtualDescriptor(p)?je.mapAndFilter.skip:[p.descriptorHash,je.makeDeferred()]));for(let p of t.storedDescriptors.values()){let h=A.get(p.descriptorHash);if(typeof h>"u")throw new Error(`Assertion failed: The descriptor (${p.descriptorHash}) should have been registered`);let E=t.storedResolutions.get(p.descriptorHash);if(typeof E>"u")throw new Error(`Assertion failed: The resolution (${p.descriptorHash}) should have been registered`);let I=t.originalPackages.get(E);if(typeof I>"u")throw new Error(`Assertion failed: The package (${E}) should have been registered`);Promise.resolve().then(async()=>{let v=r.getResolutionDependencies(p,a),b=Object.fromEntries(await je.allSettledSafe(Object.entries(v).map(async([te,le])=>{let pe=A.get(le.descriptorHash);if(typeof pe>"u")throw new Error(`Assertion failed: The descriptor (${le.descriptorHash}) should have been registered`);let Ae=await pe.promise;if(!Ae)throw new Error("Assertion failed: Expected the dependency to have been through the dedupe process itself");return[te,Ae.updatedPackage]})));if(e.length&&!zge.default.isMatch(W.stringifyIdent(p),e)||!r.shouldPersistResolution(I,a))return I;let C=u.get(p.identHash);if(typeof C>"u")throw new Error(`Assertion failed: The resolutions (${p.identHash}) should have been registered`);if(C.size===1)return I;let T=[...C].map(te=>{let le=t.originalPackages.get(te);if(typeof le>"u")throw new Error(`Assertion failed: The package (${te}) should have been registered`);return le}),L=await r.getSatisfying(p,b,T,a),U=L.locators?.[0];if(typeof U>"u"||!L.sorted)return I;let J=t.originalPackages.get(U.locatorHash);if(typeof J>"u")throw new Error(`Assertion failed: The package (${U.locatorHash}) should have been registered`);return J}).then(async v=>{let b=await t.preparePackage(v,{resolver:r,resolveOptions:a});h.resolve({descriptor:p,currentPackage:I,updatedPackage:v,resolvedPackage:b})}).catch(v=>{h.reject(v)})}return[...A.values()].map(p=>p.promise)}};async function M8(t,{strategy:e,patterns:r,cache:o,report:a}){let{configuration:n}=t,u=new 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package";break;default:T=`${C} packages`}let L=de.pretty(n,e,de.Type.CODE);return a.reportInfo(0,`${T} can be deduped using the ${L} strategy`),C})}var Lh=class extends ut{constructor(){super(...arguments);this.strategy=ge.String("-s,--strategy","highest",{description:"The strategy to use when deduping dependencies",validator:Vs(d2)});this.check=ge.Boolean("-c,--check",!1,{description:"Exit with exit code 1 when duplicates are found, without persisting the dependency tree"});this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.mode=ge.String("--mode",{description:"Change what artifacts installs generate",validator:Vs(pl)});this.patterns=ge.Rest()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o}=await St.find(r,this.context.cwd),a=await Lr.find(r);await o.restoreInstallState({restoreResolutions:!1});let n=0,u=await Nt.start({configuration:r,includeFooter:!1,stdout:this.context.stdout,json:this.json},async A=>{n=await M8(o,{strategy:this.strategy,patterns:this.patterns,cache:a,report:A})});return u.hasErrors()?u.exitCode():this.check?n?1:0:await o.installWithNewReport({json:this.json,stdout:this.context.stdout},{cache:a,mode:this.mode})}};Lh.paths=[["dedupe"]],Lh.usage=nt.Usage({description:"deduplicate dependencies with overlapping ranges",details:"\n Duplicates are defined as descriptors with overlapping ranges being resolved and locked to different locators. They are a natural consequence of Yarn's deterministic installs, but they can sometimes pile up and unnecessarily increase the size of your project.\n\n This command dedupes dependencies in the current project using different strategies (only one is implemented at the moment):\n\n - `highest`: Reuses (where possible) the locators with the highest versions. This means that dependencies can only be upgraded, never downgraded. It's also guaranteed that it never takes more than a single pass to dedupe the entire dependency tree.\n\n **Note:** Even though it never produces a wrong dependency tree, this command should be used with caution, as it modifies the dependency tree, which can sometimes cause problems when packages don't strictly follow semver recommendations. Because of this, it is recommended to also review the changes manually.\n\n If set, the `-c,--check` flag will only report the found duplicates, without persisting the modified dependency tree. If changes are found, the command will exit with a non-zero exit code, making it suitable for CI purposes.\n\n If the `--mode=` option is set, Yarn will change which artifacts are generated. The modes currently supported are:\n\n - `skip-build` will not run the build scripts at all. Note that this is different from setting `enableScripts` to false because the latter will disable build scripts, and thus affect the content of the artifacts generated on disk, whereas the former will just disable the build step - but not the scripts themselves, which just won't run.\n\n - `update-lockfile` will skip the link step altogether, and only fetch packages that are missing from the lockfile (or that have no associated checksums). This mode is typically used by tools like Renovate or Dependabot to keep a lockfile up-to-date without incurring the full install cost.\n\n This command accepts glob patterns as arguments (if valid Idents and supported by [micromatch](https://github.com/micromatch/micromatch)). Make sure to escape the patterns, to prevent your own shell from trying to expand them.\n\n ### In-depth explanation:\n\n Yarn doesn't deduplicate dependencies by default, otherwise installs wouldn't be deterministic and the lockfile would be useless. What it actually does is that it tries to not duplicate dependencies in the first place.\n\n **Example:** If `foo@^2.3.4` (a dependency of a dependency) has already been resolved to `foo@2.3.4`, running `yarn add foo@*`will cause Yarn to reuse `foo@2.3.4`, even if the latest `foo` is actually `foo@2.10.14`, thus preventing unnecessary duplication.\n\n Duplication happens when Yarn can't unlock dependencies that have already been locked inside the lockfile.\n\n **Example:** If `foo@^2.3.4` (a dependency of a dependency) has already been resolved to `foo@2.3.4`, running `yarn add foo@2.10.14` will cause Yarn to install `foo@2.10.14` because the existing resolution doesn't satisfy the range `2.10.14`. This behavior can lead to (sometimes) unwanted duplication, since now the lockfile contains 2 separate resolutions for the 2 `foo` descriptors, even though they have overlapping ranges, which means that the lockfile can be simplified so that both descriptors resolve to `foo@2.10.14`.\n ",examples:[["Dedupe all packages","$0 dedupe"],["Dedupe all packages using a specific strategy","$0 dedupe --strategy highest"],["Dedupe a specific package","$0 dedupe lodash"],["Dedupe all packages with the `@babel/*` scope","$0 dedupe '@babel/*'"],["Check for duplicates (can be used as a CI step)","$0 dedupe --check"]]});Ye();qt();var Wd=class extends ut{async execute(){let{plugins:e}=await Ve.find(this.context.cwd,this.context.plugins),r=[];for(let u of e){let{commands:A}=u[1];if(A){let h=as.from(A).definitions();r.push([u[0],h])}}let o=this.cli.definitions(),a=(u,A)=>u.split(" ").slice(1).join()===A.split(" ").slice(1).join(),n=Xge()["@yarnpkg/builder"].bundles.standard;for(let u of r){let A=u[1];for(let p of A)o.find(h=>a(h.path,p.path)).plugin={name:u[0],isDefault:n.includes(u[0])}}this.context.stdout.write(`${JSON.stringify(o,null,2)} +`)}};Wd.paths=[["--clipanion=definitions"]];var Vd=class extends ut{async execute(){this.context.stdout.write(this.cli.usage(null))}};Vd.paths=[["help"],["--help"],["-h"]];Ye();Pt();qt();var dC=class extends ut{constructor(){super(...arguments);this.leadingArgument=ge.String();this.args=ge.Proxy()}async execute(){if(this.leadingArgument.match(/[\\/]/)&&!W.tryParseIdent(this.leadingArgument)){let r=K.resolve(this.context.cwd,ue.toPortablePath(this.leadingArgument));return await this.cli.run(this.args,{cwd:r})}else return await this.cli.run(["run",this.leadingArgument,...this.args])}};Ye();var Kd=class extends ut{async execute(){this.context.stdout.write(`${tn||""} +`)}};Kd.paths=[["-v"],["--version"]];Ye();Ye();qt();var Mh=class extends ut{constructor(){super(...arguments);this.commandName=ge.String();this.args=ge.Proxy()}async 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ut{constructor(){super(...arguments);this.hash=ge.String({validator:aP(Ey(),[sI(/^p[0-9a-f]{5}$/)])})}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o}=await St.find(r,this.context.cwd);return await o.restoreInstallState({restoreResolutions:!1}),await o.applyLightResolution(),await Y0t(this.hash,o,{stdout:this.context.stdout})}};Oh.paths=[["explain","peer-requirements"]],Oh.usage=nt.Usage({description:"explain a set of peer requirements",details:` + A set of peer requirements represents all peer requirements that a dependent must satisfy when providing a given peer request to a requester and its descendants. + + When the hash argument is specified, this command prints a detailed explanation of all requirements of the set corresponding to the hash and whether they're satisfied or not. + + When used without arguments, this command lists all sets of peer requirements and the corresponding hash that can be used to get detailed information about a given set. + + **Note:** A hash is a six-letter p-prefixed code that can be obtained from peer dependency warnings or from the list of all peer requirements (\`yarn explain peer-requirements\`). + `,examples:[["Explain the corresponding set of peer requirements for a hash","$0 explain peer-requirements p1a4ed"],["List all sets of peer requirements","$0 explain peer-requirements"]]});async function Y0t(t,e,r){let o=e.peerWarnings.find(n=>n.hash===t);if(typeof o>"u")throw new Error(`No peerDependency requirements found for hash: "${t}"`);return(await Nt.start({configuration:e.configuration,stdout:r.stdout,includeFooter:!1,includePrefix:!1},async n=>{let u=de.mark(e.configuration);switch(o.type){case 2:{n.reportInfo(0,`We have a problem with ${de.pretty(e.configuration,o.requested,de.Type.IDENT)}, which is provided with version ${W.prettyReference(e.configuration,o.version)}.`),n.reportInfo(0,"It is needed by the following direct dependencies of workspaces in your project:"),n.reportSeparator();for(let h of o.requesters.values()){let E=e.storedPackages.get(h.locatorHash);if(!E)throw new Error("Assertion failed: Expected the package to be registered");let I=E?.peerDependencies.get(o.requested.identHash);if(!I)throw new Error("Assertion failed: Expected the package to list the peer dependency");let v=kr.satisfiesWithPrereleases(o.version,I.range)?u.Check:u.Cross;n.reportInfo(null,` ${v} ${W.prettyLocator(e.configuration,h)} (via ${W.prettyRange(e.configuration,I.range)})`)}let A=[...o.links.values()].filter(h=>!o.requesters.has(h.locatorHash));if(A.length>0){n.reportSeparator(),n.reportInfo(0,`However, those packages themselves have more dependencies listing ${W.prettyIdent(e.configuration,o.requested)} as peer dependency:`),n.reportSeparator();for(let h of A){let E=e.storedPackages.get(h.locatorHash);if(!E)throw new Error("Assertion failed: Expected the package to be registered");let I=E?.peerDependencies.get(o.requested.identHash);if(!I)throw new Error("Assertion failed: Expected the package to list the peer dependency");let v=kr.satisfiesWithPrereleases(o.version,I.range)?u.Check:u.Cross;n.reportInfo(null,` ${v} ${W.prettyLocator(e.configuration,h)} (via ${W.prettyRange(e.configuration,I.range)})`)}}let p=Array.from(o.links.values(),h=>{let E=e.storedPackages.get(h.locatorHash);if(typeof E>"u")throw new Error("Assertion failed: Expected the package to be registered");let I=E.peerDependencies.get(o.requested.identHash);if(typeof I>"u")throw new Error("Assertion failed: Expected the ident to be registered");return I.range});if(p.length>1){let h=kr.simplifyRanges(p);n.reportSeparator(),h===null?(n.reportInfo(0,"Unfortunately, put together, we found no single range that can satisfy all those peer requirements."),n.reportInfo(0,`Your best option may be to try to upgrade some dependencies with ${de.pretty(e.configuration,"yarn up",de.Type.CODE)}, or silence the warning via ${de.pretty(e.configuration,"logFilters",de.Type.CODE)}.`)):n.reportInfo(0,`Put together, the final range we computed is ${de.pretty(e.configuration,h,de.Type.RANGE)}`)}}break;default:n.reportInfo(0,`The ${de.pretty(e.configuration,"yarn explain peer-requirements",de.Type.CODE)} command doesn't support this warning type yet.`);break}})).exitCode()}Ye();qt();Za();Ye();Ye();Pt();qt();var Zge=$e(zn()),Uh=class extends ut{constructor(){super(...arguments);this.useYarnPath=ge.Boolean("--yarn-path",{description:"Set the yarnPath setting even if the version can be accessed by Corepack"});this.onlyIfNeeded=ge.Boolean("--only-if-needed",!1,{description:"Only lock the Yarn version if it isn't already locked"});this.version=ge.String()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins);if(this.onlyIfNeeded&&r.get("yarnPath")){let A=r.sources.get("yarnPath");if(!A)throw new Error("Assertion failed: Expected 'yarnPath' to have a source");let 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their names. + `,examples:[["Explain an error code","$0 explain YN0006"],["List all error codes","$0 explain"]]});Ye();Pt();qt();var ede=$e(Zo()),Hh=class extends ut{constructor(){super(...arguments);this.all=ge.Boolean("-A,--all",!1,{description:"Print versions of a package from the whole project"});this.recursive=ge.Boolean("-R,--recursive",!1,{description:"Print information for all packages, including transitive dependencies"});this.extra=ge.Array("-X,--extra",[],{description:"An array of requests of extra data provided by plugins"});this.cache=ge.Boolean("--cache",!1,{description:"Print information about the cache entry of a package (path, size, checksum)"});this.dependents=ge.Boolean("--dependents",!1,{description:"Print all dependents for each matching package"});this.manifest=ge.Boolean("--manifest",!1,{description:"Print data obtained by looking at the package archive (license, homepage, ...)"});this.nameOnly=ge.Boolean("--name-only",!1,{description:"Only print the name for the 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See https://yarnpkg.com/advanced/lifecycle-scripts for detail.\n\n Note that running this command is not part of the recommended workflow. Yarn supports zero-installs, which means that as long as you store your cache and your .pnp.cjs file inside your repository, everything will work without requiring any install right after cloning your repository or switching branches.\n\n If the `--immutable` option is set (defaults to true on CI), Yarn will abort with an error exit code if the lockfile was to be modified (other paths can be added using the `immutablePatterns` configuration setting). 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It also makes sure to call it in a way that's compatible with the current project (for example, on PnP projects the environment will be setup in such a way that PnP will be correctly injected into the environment). + + The Node process will use the exact same version of Node as the one used to run Yarn itself, which might be a good way to ensure that your commands always use a consistent Node version. + `,examples:[["Run a Node script","$0 node ./my-script.js"]]});Ye();qt();var Yh=class extends ut{constructor(){super(...arguments);this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"})}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),o=await Ve.findRcFiles(this.context.cwd);return(await Nt.start({configuration:r,json:this.json,stdout:this.context.stdout},async n=>{for(let u of o)if(!!u.data?.plugins)for(let A of u.data.plugins){if(!A.checksum||!A.spec.match(/^https?:/))continue;let p=await rn.get(A.spec,{configuration:r}),h=wn.makeHash(p);if(A.checksum===h)continue;let E=de.pretty(r,A.path,de.Type.PATH),I=de.pretty(r,A.spec,de.Type.URL),v=`${E} is different from the file provided by ${I}`;n.reportJson({...A,newChecksum:h}),n.reportError(0,v)}})).exitCode()}};Yh.paths=[["plugin","check"]],Yh.usage=nt.Usage({category:"Plugin-related commands",description:"find all third-party plugins that differ from their own spec",details:` + Check only the plugins from https. + + If this command detects any plugin differences in the CI environment, it will throw an error. + `,examples:[["find all third-party plugins that differ from their own spec","$0 plugin check"]]});Ye();Ye();Pt();qt();var ode=Be("os");Ye();Pt();qt();var tde=Be("os");Ye();Nl();qt();var $0t="https://raw.githubusercontent.com/yarnpkg/berry/master/plugins.yml";async function Jd(t,e){let r=await rn.get($0t,{configuration:t}),o=Vi(r.toString());return Object.fromEntries(Object.entries(o).filter(([a,n])=>!e||kr.satisfiesWithPrereleases(e,n.range??"<4.0.0-rc.1")))}var Wh=class extends ut{constructor(){super(...arguments);this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"})}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins);return(await Nt.start({configuration:r,json:this.json,stdout:this.context.stdout},async a=>{let n=await Jd(r,tn);for(let[u,{experimental:A,...p}]of Object.entries(n)){let h=u;A&&(h+=" [experimental]"),a.reportJson({name:u,experimental:A,...p}),a.reportInfo(null,h)}})).exitCode()}};Wh.paths=[["plugin","list"]],Wh.usage=nt.Usage({category:"Plugin-related commands",description:"list the available official plugins",details:"\n This command prints the plugins available directly from the Yarn repository. 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The resulting bundle will then be copied into the local project. + + By default, it also updates all contrib plugins to the same commit the bundle is built from. This behavior can be disabled by using the \`--skip-plugins\` flag. + `,examples:[["Build Yarn from master","$0 set version from sources"]]});async function y2(t,{configuration:e,context:r,target:o}){for(let[a,...n]of t){let u=n[n.length-1]==="|";if(u&&n.pop(),u)await Ur.pipevp(a,n,{cwd:o,stdin:r.stdin,stdout:r.stdout,stderr:r.stderr,strict:!0});else{r.stdout.write(`${de.pretty(e,` $ ${[a,...n].join(" ")}`,"grey")} +`);try{await Ur.execvp(a,n,{cwd:o,strict:!0})}catch(A){throw r.stdout.write(A.stdout||A.stack),A}}}}async function _8(t,{configuration:e,report:r,target:o}){let a=!1;if(!t.force&&oe.existsSync(K.join(o,".git"))){r.reportInfo(0,"Fetching the latest commits"),r.reportSeparator();try{await y2(ngt(t),{configuration:e,context:t.context,target:o}),a=!0}catch{r.reportSeparator(),r.reportWarning(0,"Repository update failed; we'll try to regenerate it")}}a||(r.reportInfo(0,"Cloning the remote repository"),r.reportSeparator(),await oe.removePromise(o),await oe.mkdirPromise(o,{recursive:!0}),await y2(rgt(t,o),{configuration:e,context:t.context,target:o}))}async function sgt(t,e,{project:r,report:o,target:a}){let n=await Jd(r.configuration,e),u=new Set(Object.keys(n));for(let A of r.configuration.plugins.keys())!u.has(A)||await H8(A,t,{project:r,report:o,target:a})}Ye();Ye();Pt();qt();var nde=$e(zn()),ide=Be("url"),sde=Be("vm");var Kh=class extends ut{constructor(){super(...arguments);this.name=ge.String();this.checksum=ge.Boolean("--checksum",!0,{description:"Whether to care if this plugin is modified"})}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins);return(await Nt.start({configuration:r,stdout:this.context.stdout},async a=>{let{project:n}=await St.find(r,this.context.cwd),u,A;if(this.name.match(/^\.{0,2}[\\/]/)||ue.isAbsolute(this.name)){let p=K.resolve(this.context.cwd,ue.toPortablePath(this.name));a.reportInfo(0,`Reading ${de.pretty(r,p,de.Type.PATH)}`),u=K.relative(n.cwd,p),A=await oe.readFilePromise(p)}else{let p;if(this.name.match(/^https?:/)){try{new ide.URL(this.name)}catch{throw new zt(52,`Plugin specifier "${this.name}" is neither a plugin name nor a valid url`)}u=this.name,p=this.name}else{let h=W.parseLocator(this.name.replace(/^((@yarnpkg\/)?plugin-)?/,"@yarnpkg/plugin-"));if(h.reference!=="unknown"&&!nde.default.valid(h.reference))throw new zt(0,"Official plugins only accept strict version references. Use an explicit URL if you wish to download them from another location.");let E=W.stringifyIdent(h),I=await Jd(r,tn);if(!Object.hasOwn(I,E)){let v=`Couldn't find a plugin named ${W.prettyIdent(r,h)} on the remote registry. +`;throw r.plugins.has(E)?v+=`A plugin named ${W.prettyIdent(r,h)} is already installed; possibly attempting to import a built-in plugin.`:v+=`Note that only the plugins referenced on our website (${de.pretty(r,"https://github.com/yarnpkg/berry/blob/master/plugins.yml",de.Type.URL)}) can be referenced by their name; any other plugin will have to be referenced through its public url (for example ${de.pretty(r,"https://github.com/yarnpkg/berry/raw/master/packages/plugin-typescript/bin/%40yarnpkg/plugin-typescript.js",de.Type.URL)}).`,new zt(51,v)}u=E,p=I[E].url,h.reference!=="unknown"?p=p.replace(/\/master\//,`/${E}/${h.reference}/`):tn!==null&&(p=p.replace(/\/master\//,`/@yarnpkg/cli/${tn}/`))}a.reportInfo(0,`Downloading ${de.pretty(r,p,"green")}`),A=await rn.get(p,{configuration:r})}await j8(u,A,{checksum:this.checksum,project:n,report:a})})).exitCode()}};Kh.paths=[["plugin","import"]],Kh.usage=nt.Usage({category:"Plugin-related commands",description:"download a plugin",details:` + This command downloads the specified plugin from its remote location and updates the configuration to reference it in further CLI invocations. + + Three types of plugin references are accepted: + + - If the plugin is stored within the Yarn repository, it can be referenced by name. + - Third-party plugins can be referenced directly through their public urls. + - Local plugins can be referenced by their path on the disk. + + If the \`--no-checksum\` option is set, Yarn will no longer care if the plugin is modified. + + Plugins cannot be downloaded from the npm registry, and aren't allowed to have dependencies (they need to be bundled into a single file, possibly thanks to the \`@yarnpkg/builder\` package). + `,examples:[['Download and activate the "@yarnpkg/plugin-exec" plugin',"$0 plugin import @yarnpkg/plugin-exec"],['Download and activate the "@yarnpkg/plugin-exec" plugin (shorthand)',"$0 plugin import exec"],["Download and activate a community plugin","$0 plugin import https://example.org/path/to/plugin.js"],["Activate a local plugin","$0 plugin import ./path/to/plugin.js"]]});async function j8(t,e,{checksum:r=!0,project:o,report:a}){let{configuration:n}=o,u={},A={exports:u};(0,sde.runInNewContext)(e.toString(),{module:A,exports:u});let h=`.yarn/plugins/${A.exports.name}.cjs`,E=K.resolve(o.cwd,h);a.reportInfo(0,`Saving the new plugin in ${de.pretty(n,h,"magenta")}`),await oe.mkdirPromise(K.dirname(E),{recursive:!0}),await oe.writeFilePromise(E,e);let I={path:h,spec:t};r&&(I.checksum=wn.makeHash(e)),await Ve.addPlugin(o.cwd,[I])}var ogt=({pluginName:t,noMinify:e},r)=>[["yarn",`build:${t}`,...e?["--no-minify"]:[],"|"]],Jh=class extends ut{constructor(){super(...arguments);this.installPath=ge.String("--path",{description:"The path where the repository should be cloned to"});this.repository=ge.String("--repository","https://github.com/yarnpkg/berry.git",{description:"The repository that should be cloned"});this.branch=ge.String("--branch","master",{description:"The branch of the repository that should be cloned"});this.noMinify=ge.Boolean("--no-minify",!1,{description:"Build a plugin for development (debugging) - non-minified and non-mangled"});this.force=ge.Boolean("-f,--force",!1,{description:"Always clone the repository instead of trying to fetch the latest commits"});this.name=ge.String()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),o=typeof this.installPath<"u"?K.resolve(this.context.cwd,ue.toPortablePath(this.installPath)):K.resolve(ue.toPortablePath((0,ode.tmpdir)()),"yarnpkg-sources",wn.makeHash(this.repository).slice(0,6));return(await Nt.start({configuration:r,stdout:this.context.stdout},async n=>{let{project:u}=await St.find(r,this.context.cwd),A=W.parseIdent(this.name.replace(/^((@yarnpkg\/)?plugin-)?/,"@yarnpkg/plugin-")),p=W.stringifyIdent(A),h=await Jd(r,tn);if(!Object.hasOwn(h,p))throw new zt(51,`Couldn't find a plugin named "${p}" on the remote registry. Note that only the plugins referenced on our website (https://github.com/yarnpkg/berry/blob/master/plugins.yml) can be built and imported from sources.`);let E=p;await _8(this,{configuration:r,report:n,target:o}),await H8(E,this,{project:u,report:n,target:o})})).exitCode()}};Jh.paths=[["plugin","import","from","sources"]],Jh.usage=nt.Usage({category:"Plugin-related commands",description:"build a plugin from sources",details:` + This command clones the Yarn repository into a temporary folder, builds the specified contrib plugin and updates the configuration to reference it in further CLI invocations. + + The plugins can be referenced by their short name if sourced from the official Yarn repository. + `,examples:[['Build and activate the "@yarnpkg/plugin-exec" plugin',"$0 plugin import from sources @yarnpkg/plugin-exec"],['Build and activate the "@yarnpkg/plugin-exec" plugin (shorthand)',"$0 plugin import from sources exec"]]});async function H8(t,{context:e,noMinify:r},{project:o,report:a,target:n}){let u=t.replace(/@yarnpkg\//,""),{configuration:A}=o;a.reportSeparator(),a.reportInfo(0,`Building a fresh ${u}`),a.reportSeparator(),await y2(ogt({pluginName:u,noMinify:r},n),{configuration:A,context:e,target:n}),a.reportSeparator();let p=K.resolve(n,`packages/${u}/bundles/${t}.js`),h=await oe.readFilePromise(p);await j8(t,h,{project:o,report:a})}Ye();Pt();qt();var zh=class extends ut{constructor(){super(...arguments);this.name=ge.String()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o}=await St.find(r,this.context.cwd);return(await Nt.start({configuration:r,stdout:this.context.stdout},async n=>{let u=this.name,A=W.parseIdent(u);if(!r.plugins.has(u))throw new it(`${W.prettyIdent(r,A)} isn't referenced by the current configuration`);let p=`.yarn/plugins/${u}.cjs`,h=K.resolve(o.cwd,p);oe.existsSync(h)&&(n.reportInfo(0,`Removing ${de.pretty(r,p,de.Type.PATH)}...`),await oe.removePromise(h)),n.reportInfo(0,"Updating the configuration..."),await Ve.updateConfiguration(o.cwd,{plugins:E=>{if(!Array.isArray(E))return E;let I=E.filter(v=>v.path!==p);return I.length===0?Ve.deleteProperty:I.length===E.length?E:I}})})).exitCode()}};zh.paths=[["plugin","remove"]],zh.usage=nt.Usage({category:"Plugin-related commands",description:"remove a plugin",details:` + This command deletes the specified plugin from the .yarn/plugins folder and removes it from the configuration. + + **Note:** The plugins have to be referenced by their name property, which can be obtained using the \`yarn plugin runtime\` command. Shorthands are not allowed. + `,examples:[["Remove a plugin imported from the Yarn repository","$0 plugin remove @yarnpkg/plugin-typescript"],["Remove a plugin imported from a local file","$0 plugin remove my-local-plugin"]]});Ye();qt();var Xh=class extends ut{constructor(){super(...arguments);this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"})}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins);return(await Nt.start({configuration:r,json:this.json,stdout:this.context.stdout},async a=>{for(let n of r.plugins.keys()){let u=this.context.plugins.plugins.has(n),A=n;u&&(A+=" [builtin]"),a.reportJson({name:n,builtin:u}),a.reportInfo(null,`${A}`)}})).exitCode()}};Xh.paths=[["plugin","runtime"]],Xh.usage=nt.Usage({category:"Plugin-related commands",description:"list the active plugins",details:` + This command prints the currently active plugins. Will be displayed both builtin plugins and external plugins. + `,examples:[["List the currently active plugins","$0 plugin runtime"]]});Ye();Ye();qt();var Zh=class extends ut{constructor(){super(...arguments);this.idents=ge.Rest()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd),n=await Lr.find(r);if(!a)throw new rr(o.cwd,this.context.cwd);let u=new Set;for(let A of this.idents)u.add(W.parseIdent(A).identHash);if(await o.restoreInstallState({restoreResolutions:!1}),await o.resolveEverything({cache:n,report:new Qi}),u.size>0)for(let A of o.storedPackages.values())u.has(A.identHash)&&(o.storedBuildState.delete(A.locatorHash),o.skippedBuilds.delete(A.locatorHash));else o.storedBuildState.clear(),o.skippedBuilds.clear();return await o.installWithNewReport({stdout:this.context.stdout,quiet:this.context.quiet},{cache:n})}};Zh.paths=[["rebuild"]],Zh.usage=nt.Usage({description:"rebuild the project's native packages",details:` + This command will automatically cause Yarn to forget about previous compilations of the given packages and to run them again. + + Note that while Yarn forgets the compilation, the previous artifacts aren't erased from the filesystem and may affect the next builds (in good or bad). To avoid this, you may remove the .yarn/unplugged folder, or any other relevant location where packages might have been stored (Yarn may offer a way to do that automatically in the future). + + By default all packages will be rebuilt, but you can filter the list by specifying the names of the packages you want to clear from memory. + `,examples:[["Rebuild all packages","$0 rebuild"],["Rebuild fsevents only","$0 rebuild fsevents"]]});Ye();Ye();Ye();qt();var q8=$e(Zo());Za();var $h=class extends ut{constructor(){super(...arguments);this.all=ge.Boolean("-A,--all",!1,{description:"Apply the operation to all workspaces from the current project"});this.mode=ge.String("--mode",{description:"Change what artifacts installs generate",validator:Vs(pl)});this.patterns=ge.Rest()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd),n=await Lr.find(r);if(!a)throw new rr(o.cwd,this.context.cwd);await o.restoreInstallState({restoreResolutions:!1});let u=this.all?o.workspaces:[a],A=["dependencies","devDependencies","peerDependencies"],p=[],h=!1,E=[];for(let C of this.patterns){let T=!1,L=W.parseIdent(C);for(let U of u){let J=[...U.manifest.peerDependenciesMeta.keys()];for(let te of(0,q8.default)(J,C))U.manifest.peerDependenciesMeta.delete(te),h=!0,T=!0;for(let te of A){let le=U.manifest.getForScope(te),pe=[...le.values()].map(Ae=>W.stringifyIdent(Ae));for(let Ae of(0,q8.default)(pe,W.stringifyIdent(L))){let{identHash:ye}=W.parseIdent(Ae),ae=le.get(ye);if(typeof ae>"u")throw new Error("Assertion failed: Expected the descriptor to be registered");U.manifest[te].delete(ye),E.push([U,te,ae]),h=!0,T=!0}}}T||p.push(C)}let I=p.length>1?"Patterns":"Pattern",v=p.length>1?"don't":"doesn't",b=this.all?"any":"this";if(p.length>0)throw new it(`${I} ${de.prettyList(r,p,de.Type.CODE)} ${v} match any packages referenced by ${b} workspace`);return h?(await r.triggerMultipleHooks(C=>C.afterWorkspaceDependencyRemoval,E),await o.installWithNewReport({stdout:this.context.stdout},{cache:n,mode:this.mode})):0}};$h.paths=[["remove"]],$h.usage=nt.Usage({description:"remove dependencies from the project",details:` + This command will remove the packages matching the specified patterns from the current workspace. + + If the \`--mode=\` option is set, Yarn will change which artifacts are generated. The modes currently supported are: + + - \`skip-build\` will not run the build scripts at all. Note that this is different from setting \`enableScripts\` to false because the latter will disable build scripts, and thus affect the content of the artifacts generated on disk, whereas the former will just disable the build step - but not the scripts themselves, which just won't run. + + - \`update-lockfile\` will skip the link step altogether, and only fetch packages that are missing from the lockfile (or that have no associated checksums). This mode is typically used by tools like Renovate or Dependabot to keep a lockfile up-to-date without incurring the full install cost. + + This command accepts glob patterns as arguments (if valid Idents and supported by [micromatch](https://github.com/micromatch/micromatch)). Make sure to escape the patterns, to prevent your own shell from trying to expand them. + `,examples:[["Remove a dependency from the current project","$0 remove lodash"],["Remove a dependency from all workspaces at once","$0 remove lodash --all"],["Remove all dependencies starting with `eslint-`","$0 remove 'eslint-*'"],["Remove all dependencies with the `@babel` scope","$0 remove '@babel/*'"],["Remove all dependencies matching `react-dom` or `react-helmet`","$0 remove 'react-{dom,helmet}'"]]});Ye();Ye();var ade=Be("util"),zd=class extends ut{async execute(){let e=await Ve.find(this.context.cwd,this.context.plugins),{project:r,workspace:o}=await St.find(e,this.context.cwd);if(!o)throw new rr(r.cwd,this.context.cwd);return(await Nt.start({configuration:e,stdout:this.context.stdout},async n=>{let u=o.manifest.scripts,A=je.sortMap(u.keys(),E=>E),p={breakLength:1/0,colors:e.get("enableColors"),maxArrayLength:2},h=A.reduce((E,I)=>Math.max(E,I.length),0);for(let[E,I]of u.entries())n.reportInfo(null,`${E.padEnd(h," ")} ${(0,ade.inspect)(I,p)}`)})).exitCode()}};zd.paths=[["run"]];Ye();Ye();qt();var e0=class extends ut{constructor(){super(...arguments);this.inspect=ge.String("--inspect",!1,{tolerateBoolean:!0,description:"Forwarded to the underlying Node process when executing a binary"});this.inspectBrk=ge.String("--inspect-brk",!1,{tolerateBoolean:!0,description:"Forwarded to the underlying Node process when executing a binary"});this.topLevel=ge.Boolean("-T,--top-level",!1,{description:"Check the root workspace for scripts and/or binaries instead of the current one"});this.binariesOnly=ge.Boolean("-B,--binaries-only",!1,{description:"Ignore any user defined scripts and only check for binaries"});this.require=ge.String("--require",{description:"Forwarded to the underlying Node process when executing a binary"});this.silent=ge.Boolean("--silent",{hidden:!0});this.scriptName=ge.String();this.args=ge.Proxy()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a,locator:n}=await St.find(r,this.context.cwd);await o.restoreInstallState();let u=this.topLevel?o.topLevelWorkspace.anchoredLocator:n;if(!this.binariesOnly&&await un.hasPackageScript(u,this.scriptName,{project:o}))return await un.executePackageScript(u,this.scriptName,this.args,{project:o,stdin:this.context.stdin,stdout:this.context.stdout,stderr:this.context.stderr});let A=await un.getPackageAccessibleBinaries(u,{project:o});if(A.get(this.scriptName)){let h=[];return this.inspect&&(typeof this.inspect=="string"?h.push(`--inspect=${this.inspect}`):h.push("--inspect")),this.inspectBrk&&(typeof this.inspectBrk=="string"?h.push(`--inspect-brk=${this.inspectBrk}`):h.push("--inspect-brk")),this.require&&h.push(`--require=${this.require}`),await un.executePackageAccessibleBinary(u,this.scriptName,this.args,{cwd:this.context.cwd,project:o,stdin:this.context.stdin,stdout:this.context.stdout,stderr:this.context.stderr,nodeArgs:h,packageAccessibleBinaries:A})}if(!this.topLevel&&!this.binariesOnly&&a&&this.scriptName.includes(":")){let E=(await Promise.all(o.workspaces.map(async I=>I.manifest.scripts.has(this.scriptName)?I:null))).filter(I=>I!==null);if(E.length===1)return await un.executeWorkspaceScript(E[0],this.scriptName,this.args,{stdin:this.context.stdin,stdout:this.context.stdout,stderr:this.context.stderr})}if(this.topLevel)throw this.scriptName==="node-gyp"?new it(`Couldn't find a script name "${this.scriptName}" in the top-level (used by ${W.prettyLocator(r,n)}). This typically happens because some package depends on "node-gyp" to build itself, but didn't list it in their dependencies. To fix that, please run "yarn add node-gyp" into your top-level workspace. You also can open an issue on the repository of the specified package to suggest them to use an optional peer dependency.`):new it(`Couldn't find a script name "${this.scriptName}" in the top-level (used by ${W.prettyLocator(r,n)}).`);{if(this.scriptName==="global")throw new it("The 'yarn global' commands have been removed in 2.x - consider using 'yarn dlx' or a third-party plugin instead");let h=[this.scriptName].concat(this.args);for(let[E,I]of uC)for(let v of I)if(h.length>=v.length&&JSON.stringify(h.slice(0,v.length))===JSON.stringify(v))throw new it(`Couldn't find a script named "${this.scriptName}", but a matching command can be found in the ${E} plugin. You can install it with "yarn plugin import ${E}".`);throw new it(`Couldn't find a script named "${this.scriptName}".`)}}};e0.paths=[["run"]],e0.usage=nt.Usage({description:"run a script defined in the package.json",details:` + This command will run a tool. The exact tool that will be executed will depend on the current state of your workspace: + + - If the \`scripts\` field from your local package.json contains a matching script name, its definition will get executed. + + - Otherwise, if one of the local workspace's dependencies exposes a binary with a matching name, this binary will get executed. + + - Otherwise, if the specified name contains a colon character and if one of the workspaces in the project contains exactly one script with a matching name, then this script will get executed. + + Whatever happens, the cwd of the spawned process will be the workspace that declares the script (which makes it possible to call commands cross-workspaces using the third syntax). + `,examples:[["Run the tests from the local workspace","$0 run test"],['Same thing, but without the "run" keyword',"$0 test"],["Inspect Webpack while running","$0 run --inspect-brk webpack"]]});Ye();Ye();qt();var t0=class extends ut{constructor(){super(...arguments);this.descriptor=ge.String();this.resolution=ge.String()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd),n=await Lr.find(r);if(await o.restoreInstallState({restoreResolutions:!1}),!a)throw new rr(o.cwd,this.context.cwd);let u=W.parseDescriptor(this.descriptor,!0),A=W.makeDescriptor(u,this.resolution);return o.storedDescriptors.set(u.descriptorHash,u),o.storedDescriptors.set(A.descriptorHash,A),o.resolutionAliases.set(u.descriptorHash,A.descriptorHash),await o.installWithNewReport({stdout:this.context.stdout},{cache:n})}};t0.paths=[["set","resolution"]],t0.usage=nt.Usage({description:"enforce a package resolution",details:'\n This command updates the resolution table so that `descriptor` is resolved by `resolution`.\n\n Note that by default this command only affect the current resolution table - meaning that this "manual override" will disappear if you remove the lockfile, or if the package disappear from the table. If you wish to make the enforced resolution persist whatever happens, edit the `resolutions` field in your top-level manifest.\n\n Note that no attempt is made at validating that `resolution` is a valid resolution entry for `descriptor`.\n ',examples:[["Force all instances of lodash@npm:^1.2.3 to resolve to 1.5.0","$0 set resolution lodash@npm:^1.2.3 1.5.0"]]});Ye();Pt();qt();var lde=$e(Zo()),r0=class extends ut{constructor(){super(...arguments);this.all=ge.Boolean("-A,--all",!1,{description:"Unlink all workspaces belonging to the target project from the current one"});this.leadingArguments=ge.Rest()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd),n=await Lr.find(r);if(!a)throw new rr(o.cwd,this.context.cwd);let u=o.topLevelWorkspace,A=new Set;if(this.leadingArguments.length===0&&this.all)for(let{pattern:p,reference:h}of u.manifest.resolutions)h.startsWith("portal:")&&A.add(p.descriptor.fullName);if(this.leadingArguments.length>0)for(let p of this.leadingArguments){let h=K.resolve(this.context.cwd,ue.toPortablePath(p));if(je.isPathLike(p)){let E=await Ve.find(h,this.context.plugins,{useRc:!1,strict:!1}),{project:I,workspace:v}=await St.find(E,h);if(!v)throw new rr(I.cwd,h);if(this.all){for(let b of I.workspaces)b.manifest.name&&A.add(W.stringifyIdent(b.anchoredLocator));if(A.size===0)throw new it("No workspace found to be unlinked in the target project")}else{if(!v.manifest.name)throw new it("The target workspace doesn't have a name and thus cannot be unlinked");A.add(W.stringifyIdent(v.anchoredLocator))}}else{let E=[...u.manifest.resolutions.map(({pattern:I})=>I.descriptor.fullName)];for(let I of(0,lde.default)(E,p))A.add(I)}}return u.manifest.resolutions=u.manifest.resolutions.filter(({pattern:p})=>!A.has(p.descriptor.fullName)),await o.installWithNewReport({stdout:this.context.stdout,quiet:this.context.quiet},{cache:n})}};r0.paths=[["unlink"]],r0.usage=nt.Usage({description:"disconnect the local project from another one",details:` + This command will remove any resolutions in the project-level manifest that would have been added via a yarn link with similar arguments. + `,examples:[["Unregister a remote workspace in the current project","$0 unlink ~/ts-loader"],["Unregister all workspaces from a remote project in the current project","$0 unlink ~/jest --all"],["Unregister all previously linked workspaces","$0 unlink --all"],["Unregister all workspaces matching a glob","$0 unlink '@babel/*' 'pkg-{a,b}'"]]});Ye();Ye();Ye();qt();var cde=$e(A2()),G8=$e(Zo());Za();var Kf=class extends ut{constructor(){super(...arguments);this.interactive=ge.Boolean("-i,--interactive",{description:"Offer various choices, depending on the detected upgrade paths"});this.fixed=ge.Boolean("-F,--fixed",!1,{description:"Store dependency tags as-is instead of resolving them"});this.exact=ge.Boolean("-E,--exact",!1,{description:"Don't use any semver modifier on the resolved range"});this.tilde=ge.Boolean("-T,--tilde",!1,{description:"Use the `~` semver modifier on the resolved range"});this.caret=ge.Boolean("-C,--caret",!1,{description:"Use the `^` semver modifier on the resolved range"});this.recursive=ge.Boolean("-R,--recursive",!1,{description:"Resolve again ALL resolutions for those packages"});this.mode=ge.String("--mode",{description:"Change what artifacts installs generate",validator:Vs(pl)});this.patterns=ge.Rest()}async execute(){return this.recursive?await this.executeUpRecursive():await this.executeUpClassic()}async executeUpRecursive(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd),n=await Lr.find(r);if(!a)throw new rr(o.cwd,this.context.cwd);await o.restoreInstallState({restoreResolutions:!1});let 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U=!1,J=W.parseDescriptor(L),te=W.stringifyIdent(J);for(let le of o.workspaces)for(let pe of["dependencies","devDependencies"]){let ye=[...le.manifest.getForScope(pe).values()].map(we=>W.stringifyIdent(we)),ae=te==="*"?ye:(0,G8.default)(ye,te);for(let we of ae){let Pe=W.parseIdent(we),g=le.manifest[pe].get(Pe.identHash);if(typeof g>"u")throw new Error("Assertion failed: Expected the descriptor to be registered");let Ee=W.makeDescriptor(Pe,J.range);E.push(Promise.resolve().then(async()=>[le,pe,g,await h2(Ee,{project:o,workspace:le,cache:n,target:pe,fixed:u,modifier:p,strategies:h})])),U=!0}}U||I.push(L)}if(I.length>1)throw new it(`Patterns ${de.prettyList(r,I,de.Type.CODE)} don't match any packages referenced by any workspace`);if(I.length>0)throw new it(`Pattern ${de.prettyList(r,I,de.Type.CODE)} doesn't match any packages referenced by any workspace`);let v=await Promise.all(E),b=await AA.start({configuration:r,stdout:this.context.stdout,suggestInstall:!1},async 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upgrades the packages matching the list of specified patterns to their latest available version across the whole project (regardless of whether they're part of `dependencies` or `devDependencies` - `peerDependencies` won't be affected). This is a project-wide command: all workspaces will be upgraded in the process.\n\n If `-R,--recursive` is set the command will change behavior and no other switch will be allowed. When operating under this mode `yarn up` will force all ranges matching the selected packages to be resolved again (often to the highest available versions) before being stored in the lockfile. It however won't touch your manifests anymore, so depending on your needs you might want to run both `yarn up` and `yarn up -R` to cover all bases.\n\n If `-i,--interactive` is set (or if the `preferInteractive` settings is toggled on) the command will offer various choices, depending on the detected upgrade paths. 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Note that the display is somewhat optimized in that it will not print the package listing twice for a single package, so if you see a leaf named "Foo" when looking for "Bar", it means that "Foo" already got printed higher in the tree. + `,examples:[["Explain why lodash is used in your project","$0 why lodash"]]});function agt(t,e,{configuration:r,peers:o}){let a=je.sortMap(t.storedPackages.values(),A=>W.stringifyLocator(A)),n={},u={children:n};for(let A of a){let p={};for(let E of A.dependencies.values()){if(!o&&A.peerDependencies.has(E.identHash))continue;let I=t.storedResolutions.get(E.descriptorHash);if(!I)throw new Error("Assertion failed: The resolution should have been registered");let v=t.storedPackages.get(I);if(!v)throw new Error("Assertion failed: The package should have been registered");if(v.identHash!==e)continue;{let C=W.stringifyLocator(A);n[C]={value:[A,de.Type.LOCATOR],children:p}}let 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sH>"u"&&(sH=Be("zlib").brotliDecompressSync(Buffer.from("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","base64")).toString()),sH}var Mde=new Map([[W.makeIdent(null,"fsevents").identHash,Rde],[W.makeIdent(null,"resolve").identHash,Nde],[W.makeIdent(null,"typescript").identHash,Lde]]),Fgt={hooks:{registerPackageExtensions:async(t,e)=>{for(let[r,o]of rH)e(W.parseDescriptor(r,!0),o)},getBuiltinPatch:async(t,e)=>{let r="compat/";if(!e.startsWith(r))return;let o=W.parseIdent(e.slice(r.length)),a=Mde.get(o.identHash)?.();return typeof a<"u"?a:null},reduceDependency:async(t,e,r,o)=>typeof Mde.get(t.identHash)>"u"?t:W.makeDescriptor(t,W.makeRange({protocol:"patch:",source:W.stringifyDescriptor(t),selector:`optional!builtin`,params:null}))}},Tgt=Fgt;var BH={};Kt(BH,{ConstraintsCheckCommand:()=>p0,ConstraintsQueryCommand:()=>A0,ConstraintsSourceCommand:()=>f0,default:()=>odt});Ye();Ye();B2();var wC=class{constructor(e){this.project=e}createEnvironment(){let e=new CC(["cwd","ident"]),r=new CC(["workspace","type","ident"]),o=new CC(["ident"]),a={manifestUpdates:new Map,reportedErrors:new Map},n=new Map,u=new Map;for(let A of this.project.storedPackages.values()){let p=Array.from(A.peerDependencies.values(),h=>[W.stringifyIdent(h),h.range]);n.set(A.locatorHash,{workspace:null,ident:W.stringifyIdent(A),version:A.version,dependencies:new Map,peerDependencies:new Map(p.filter(([h])=>A.peerDependenciesMeta.get(h)?.optional!==!0)),optionalPeerDependencies:new Map(p.filter(([h])=>A.peerDependenciesMeta.get(h)?.optional===!0))})}for(let A of this.project.storedPackages.values()){let p=n.get(A.locatorHash);p.dependencies=new Map(Array.from(A.dependencies.values(),h=>{let E=this.project.storedResolutions.get(h.descriptorHash);if(typeof E>"u")throw new Error("Assertion failed: The resolution should have been registered");let I=n.get(E);if(typeof I>"u")throw new Error("Assertion failed: The package should have been registered");return[W.stringifyIdent(h),I]})),p.dependencies.delete(p.ident)}for(let A of this.project.workspaces){let p=W.stringifyIdent(A.anchoredLocator),h=A.manifest.exportTo({}),E=n.get(A.anchoredLocator.locatorHash);if(typeof E>"u")throw new Error("Assertion failed: The package should have been registered");let I=(T,L,{caller:U=Ji.getCaller()}={})=>{let J=I2(T),te=je.getMapWithDefault(a.manifestUpdates,A.cwd),le=je.getMapWithDefault(te,J),pe=je.getSetWithDefault(le,L);U!==null&&pe.add(U)},v=T=>I(T,void 0,{caller:Ji.getCaller()}),b=T=>{je.getArrayWithDefault(a.reportedErrors,A.cwd).push(T)},C=e.insert({cwd:A.relativeCwd,ident:p,manifest:h,pkg:E,set:I,unset:v,error:b});u.set(A,C);for(let T of Mt.allDependencies)for(let L of A.manifest[T].values()){let U=W.stringifyIdent(L),J=()=>{I([T,U],void 0,{caller:Ji.getCaller()})},te=pe=>{I([T,U],pe,{caller:Ji.getCaller()})},le=null;if(T!=="peerDependencies"&&(T!=="dependencies"||!A.manifest.devDependencies.has(L.identHash))){let pe=A.anchoredPackage.dependencies.get(L.identHash);if(pe){if(typeof pe>"u")throw new Error("Assertion failed: The dependency should have been registered");let Ae=this.project.storedResolutions.get(pe.descriptorHash);if(typeof Ae>"u")throw new Error("Assertion failed: The resolution should have been registered");let ye=n.get(Ae);if(typeof ye>"u")throw new Error("Assertion failed: The package should have been registered");le=ye}}r.insert({workspace:C,ident:U,range:L.range,type:T,resolution:le,update:te,delete:J,error:b})}}for(let A of this.project.storedPackages.values()){let p=this.project.tryWorkspaceByLocator(A);if(!p)continue;let h=u.get(p);if(typeof h>"u")throw new Error("Assertion failed: The workspace should have been registered");let E=n.get(A.locatorHash);if(typeof E>"u")throw new Error("Assertion failed: The package should have been registered");E.workspace=h}return{workspaces:e,dependencies:r,packages:o,result:a}}async process(){let e=this.createEnvironment(),r={Yarn:{workspace:a=>e.workspaces.find(a)[0]??null,workspaces:a=>e.workspaces.find(a),dependency:a=>e.dependencies.find(a)[0]??null,dependencies:a=>e.dependencies.find(a),package:a=>e.packages.find(a)[0]??null,packages:a=>e.packages.find(a)}},o=await this.project.loadUserConfig();return o?.constraints?(await o.constraints(r),e.result):null}};Ye();Ye();qt();var A0=class extends ut{constructor(){super(...arguments);this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.query=ge.String()}async execute(){let{Constraints:r}=await Promise.resolve().then(()=>(x2(),S2)),o=await Ve.find(this.context.cwd,this.context.plugins),{project:a}=await St.find(o,this.context.cwd),n=await r.find(a),u=this.query;return u.endsWith(".")||(u=`${u}.`),(await Nt.start({configuration:o,json:this.json,stdout:this.context.stdout},async p=>{for await(let h of n.query(u)){let E=Array.from(Object.entries(h)),I=E.length,v=E.reduce((b,[C])=>Math.max(b,C.length),0);for(let b=0;b(x2(),S2)),o=await Ve.find(this.context.cwd,this.context.plugins),{project:a}=await St.find(o,this.context.cwd),n=await r.find(a);this.context.stdout.write(this.verbose?n.fullSource:n.source)}};f0.paths=[["constraints","source"]],f0.usage=nt.Usage({category:"Constraints-related commands",description:"print the source code for the constraints",details:"\n This command will print the Prolog source code used by the constraints engine. 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- running an install might help`);return ue.toPortablePath(u.packageLocation)}async findPackageLocator(e,r){if(!this.isEnabled(r))return null;let o=S0(r.project).cjs;if(!oe.existsSync(o))return null;let n=je.getFactoryWithDefault(this.pnpCache,o,()=>je.dynamicRequire(o,{cachingStrategy:je.CachingStrategy.FsTime})).findPackageLocator(ue.fromPortablePath(e));return n?W.makeLocator(W.parseIdent(n.name),n.reference):null}makeInstaller(e){return new dm(e)}isEnabled(e){return!(e.project.configuration.get("nodeLinker")!=="pnp"||e.project.configuration.get("pnpMode")!==this.mode)}},dm=class{constructor(e){this.opts=e;this.mode="strict";this.asyncActions=new je.AsyncActions(10);this.packageRegistry=new Map;this.virtualTemplates=new Map;this.isESMLoaderRequired=!1;this.customData={store:new Map};this.unpluggedPaths=new Set;this.opts=e}attachCustomData(e){this.customData=e}async installPackage(e,r,o){let a=W.stringifyIdent(e),n=e.reference,u=!!this.opts.project.tryWorkspaceByLocator(e),A=W.isVirtualLocator(e),p=e.peerDependencies.size>0&&!A,h=!p&&!u,E=!p&&e.linkType!=="SOFT",I,v;if(h||E){let te=A?W.devirtualizeLocator(e):e;I=this.customData.store.get(te.locatorHash),typeof I>"u"&&(I=await JIt(r),e.linkType==="HARD"&&this.customData.store.set(te.locatorHash,I)),I.manifest.type==="module"&&(this.isESMLoaderRequired=!0),v=this.opts.project.getDependencyMeta(te,e.version)}let b=h?vQ(e,I,v,{configuration:this.opts.project.configuration}):null,C=E?await this.unplugPackageIfNeeded(e,I,r,v,o):r.packageFs;if(K.isAbsolute(r.prefixPath))throw new Error(`Assertion failed: Expected the prefix path (${r.prefixPath}) to be relative to the parent`);let T=K.resolve(C.getRealPath(),r.prefixPath),L=aq(this.opts.project.cwd,T),U=new Map,J=new Set;if(A){for(let te of e.peerDependencies.values())U.set(W.stringifyIdent(te),null),J.add(W.stringifyIdent(te));if(!u){let te=W.devirtualizeLocator(e);this.virtualTemplates.set(te.locatorHash,{location:aq(this.opts.project.cwd,mi.resolveVirtual(T)),locator:te})}}return je.getMapWithDefault(this.packageRegistry,a).set(n,{packageLocation:L,packageDependencies:U,packagePeers:J,linkType:e.linkType,discardFromLookup:r.discardFromLookup||!1}),{packageLocation:T,buildRequest:b}}async attachInternalDependencies(e,r){let o=this.getPackageInformation(e);for(let[a,n]of r){let u=W.areIdentsEqual(a,n)?n.reference:[W.stringifyIdent(n),n.reference];o.packageDependencies.set(W.stringifyIdent(a),u)}}async attachExternalDependents(e,r){for(let o of r)this.getDiskInformation(o).packageDependencies.set(W.stringifyIdent(e),e.reference)}async finalizeInstall(){if(this.opts.project.configuration.get("pnpMode")!==this.mode)return;let e=S0(this.opts.project);if(this.isEsmEnabled()||await oe.removePromise(e.esmLoader),this.opts.project.configuration.get("nodeLinker")!=="pnp"){await oe.removePromise(e.cjs),await oe.removePromise(e.data),await oe.removePromise(e.esmLoader),await oe.removePromise(this.opts.project.configuration.get("pnpUnpluggedFolder"));return}for(let{locator:E,location:I}of this.virtualTemplates.values())je.getMapWithDefault(this.packageRegistry,W.stringifyIdent(E)).set(E.reference,{packageLocation:I,packageDependencies:new Map,packagePeers:new Set,linkType:"SOFT",discardFromLookup:!1});this.packageRegistry.set(null,new Map([[null,this.getPackageInformation(this.opts.project.topLevelWorkspace.anchoredLocator)]]));let r=this.opts.project.configuration.get("pnpFallbackMode"),o=this.opts.project.workspaces.map(({anchoredLocator:E})=>({name:W.stringifyIdent(E),reference:E.reference})),a=r!=="none",n=[],u=new Map,A=je.buildIgnorePattern([".yarn/sdks/**",...this.opts.project.configuration.get("pnpIgnorePatterns")]),p=this.packageRegistry,h=this.opts.project.configuration.get("pnpShebang");if(r==="dependencies-only")for(let E of this.opts.project.storedPackages.values())this.opts.project.tryWorkspaceByLocator(E)&&n.push({name:W.stringifyIdent(E),reference:E.reference});return await this.asyncActions.wait(),await this.finalizeInstallWithPnp({dependencyTreeRoots:o,enableTopLevelFallback:a,fallbackExclusionList:n,fallbackPool:u,ignorePattern:A,packageRegistry:p,shebang:h}),{customData:this.customData}}async transformPnpSettings(e){}isEsmEnabled(){if(this.opts.project.configuration.sources.has("pnpEnableEsmLoader"))return this.opts.project.configuration.get("pnpEnableEsmLoader");if(this.isESMLoaderRequired)return!0;for(let e of this.opts.project.workspaces)if(e.manifest.type==="module")return!0;return!1}async finalizeInstallWithPnp(e){let r=S0(this.opts.project),o=await this.locateNodeModules(e.ignorePattern);if(o.length>0){this.opts.report.reportWarning(31,"One or more node_modules have been detected and will be removed. This operation may take some time.");for(let n of o)await oe.removePromise(n)}if(await this.transformPnpSettings(e),this.opts.project.configuration.get("pnpEnableInlining")){let n=bIe(e);await oe.changeFilePromise(r.cjs,n,{automaticNewlines:!0,mode:493}),await oe.removePromise(r.data)}else{let{dataFile:n,loaderFile:u}=kIe(e);await oe.changeFilePromise(r.cjs,u,{automaticNewlines:!0,mode:493}),await oe.changeFilePromise(r.data,n,{automaticNewlines:!0,mode:420})}this.isEsmEnabled()&&(this.opts.report.reportWarning(0,"ESM support for PnP uses the experimental loader API and is therefore experimental"),await oe.changeFilePromise(r.esmLoader,(0,iq.default)(),{automaticNewlines:!0,mode:420}));let a=this.opts.project.configuration.get("pnpUnpluggedFolder");if(this.unpluggedPaths.size===0)await oe.removePromise(a);else for(let n of await oe.readdirPromise(a)){let u=K.resolve(a,n);this.unpluggedPaths.has(u)||await oe.removePromise(u)}}async locateNodeModules(e){let r=[],o=e?new RegExp(e):null;for(let a of this.opts.project.workspaces){let n=K.join(a.cwd,"node_modules");if(o&&o.test(K.relative(this.opts.project.cwd,a.cwd))||!oe.existsSync(n))continue;let u=await oe.readdirPromise(n,{withFileTypes:!0}),A=u.filter(p=>!p.isDirectory()||p.name===".bin"||!p.name.startsWith("."));if(A.length===u.length)r.push(n);else for(let p of A)r.push(K.join(n,p.name))}return r}async unplugPackageIfNeeded(e,r,o,a,n){return this.shouldBeUnplugged(e,r,a)?this.unplugPackage(e,o,n):o.packageFs}shouldBeUnplugged(e,r,o){return typeof o.unplugged<"u"?o.unplugged:KIt.has(e.identHash)||e.conditions!=null?!0:r.manifest.preferUnplugged!==null?r.manifest.preferUnplugged:!!(vQ(e,r,o,{configuration:this.opts.project.configuration})?.skipped===!1||r.misc.extractHint)}async unplugPackage(e,r,o){let a=ov(e,{configuration:this.opts.project.configuration});return this.opts.project.disabledLocators.has(e.locatorHash)?new Uu(a,{baseFs:r.packageFs,pathUtils:K}):(this.unpluggedPaths.add(a),o.holdFetchResult(this.asyncActions.set(e.locatorHash,async()=>{let n=K.join(a,r.prefixPath,".ready");await oe.existsPromise(n)||(this.opts.project.storedBuildState.delete(e.locatorHash),await oe.mkdirPromise(a,{recursive:!0}),await oe.copyPromise(a,Bt.dot,{baseFs:r.packageFs,overwrite:!1}),await oe.writeFilePromise(n,""))})),new gn(a))}getPackageInformation(e){let r=W.stringifyIdent(e),o=e.reference,a=this.packageRegistry.get(r);if(!a)throw new Error(`Assertion failed: The package information store should have been available (for ${W.prettyIdent(this.opts.project.configuration,e)})`);let n=a.get(o);if(!n)throw new Error(`Assertion failed: The package information should have been available (for ${W.prettyLocator(this.opts.project.configuration,e)})`);return n}getDiskInformation(e){let r=je.getMapWithDefault(this.packageRegistry,"@@disk"),o=aq(this.opts.project.cwd,e);return je.getFactoryWithDefault(r,o,()=>({packageLocation:o,packageDependencies:new Map,packagePeers:new Set,linkType:"SOFT",discardFromLookup:!1}))}};function aq(t,e){let r=K.relative(t,e);return r.match(/^\.{0,2}\//)||(r=`./${r}`),r.replace(/\/?$/,"/")}async function JIt(t){let e=await Mt.tryFind(t.prefixPath,{baseFs:t.packageFs})??new Mt,r=new Set(["preinstall","install","postinstall"]);for(let o of e.scripts.keys())r.has(o)||e.scripts.delete(o);return{manifest:{scripts:e.scripts,preferUnplugged:e.preferUnplugged,type:e.type},misc:{extractHint:sq(t),hasBindingGyp:oq(t)}}}Ye();Ye();qt();var n1e=$e(Zo());var x0=class extends ut{constructor(){super(...arguments);this.all=ge.Boolean("-A,--all",!1,{description:"Unplug direct dependencies from the entire project"});this.recursive=ge.Boolean("-R,--recursive",!1,{description:"Unplug both direct and transitive dependencies"});this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.patterns=ge.Rest()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd),n=await Lr.find(r);if(!a)throw new rr(o.cwd,this.context.cwd);if(r.get("nodeLinker")!=="pnp")throw new it("This command can only be used if the `nodeLinker` option is set to `pnp`");await o.restoreInstallState();let u=new Set(this.patterns),A=this.patterns.map(b=>{let C=W.parseDescriptor(b),T=C.range!=="unknown"?C:W.makeDescriptor(C,"*");if(!kr.validRange(T.range))throw new it(`The range of the descriptor patterns must be a valid semver range (${W.prettyDescriptor(r,T)})`);return L=>{let U=W.stringifyIdent(L);return!n1e.default.isMatch(U,W.stringifyIdent(T))||L.version&&!kr.satisfiesWithPrereleases(L.version,T.range)?!1:(u.delete(b),!0)}}),p=()=>{let b=[];for(let C of o.storedPackages.values())!o.tryWorkspaceByLocator(C)&&!W.isVirtualLocator(C)&&A.some(T=>T(C))&&b.push(C);return b},h=b=>{let C=new Set,T=[],L=(U,J)=>{if(C.has(U.locatorHash))return;let te=!!o.tryWorkspaceByLocator(U);if(!(J>0&&!this.recursive&&te)&&(C.add(U.locatorHash),!o.tryWorkspaceByLocator(U)&&A.some(le=>le(U))&&T.push(U),!(J>0&&!this.recursive)))for(let le of U.dependencies.values()){let pe=o.storedResolutions.get(le.descriptorHash);if(!pe)throw new Error("Assertion failed: The resolution should have been registered");let Ae=o.storedPackages.get(pe);if(!Ae)throw new Error("Assertion failed: The package should have been registered");L(Ae,J+1)}};for(let U of b)L(U.anchoredPackage,0);return T},E,I;if(this.all&&this.recursive?(E=p(),I="the project"):this.all?(E=h(o.workspaces),I="any workspace"):(E=h([a]),I="this workspace"),u.size>1)throw new it(`Patterns ${de.prettyList(r,u,de.Type.CODE)} don't match any packages referenced by ${I}`);if(u.size>0)throw new it(`Pattern ${de.prettyList(r,u,de.Type.CODE)} doesn't match any packages referenced by ${I}`);E=je.sortMap(E,b=>W.stringifyLocator(b));let v=await Nt.start({configuration:r,stdout:this.context.stdout,json:this.json},async b=>{for(let C of E){let T=C.version??"unknown",L=o.topLevelWorkspace.manifest.ensureDependencyMeta(W.makeDescriptor(C,T));L.unplugged=!0,b.reportInfo(0,`Will unpack ${W.prettyLocator(r,C)} to ${de.pretty(r,ov(C,{configuration:r}),de.Type.PATH)}`),b.reportJson({locator:W.stringifyLocator(C),version:T})}await o.topLevelWorkspace.persistManifest(),this.json||b.reportSeparator()});return v.hasErrors()?v.exitCode():await o.installWithNewReport({json:this.json,stdout:this.context.stdout},{cache:n})}};x0.paths=[["unplug"]],x0.usage=nt.Usage({description:"force the unpacking of a list of packages",details:"\n This command will add the selectors matching the specified patterns to the list of packages that must be unplugged when installed.\n\n A package being unplugged means that instead of being referenced directly through its archive, it will be unpacked at install time in the directory configured via `pnpUnpluggedFolder`. Note that unpacking packages this way is generally not recommended because it'll make it harder to store your packages within the repository. However, it's a good approach to quickly and safely debug some packages, and can even sometimes be required depending on the context (for example when the package contains shellscripts).\n\n Running the command will set a persistent flag inside your top-level `package.json`, in the `dependenciesMeta` field. As such, to undo its effects, you'll need to revert the changes made to the manifest and run `yarn install` to apply the modification.\n\n By default, only direct dependencies from the current workspace are affected. If `-A,--all` is set, direct dependencies from the entire project are affected. Using the `-R,--recursive` flag will affect transitive dependencies as well as direct ones.\n\n This command accepts glob patterns inside the scope and name components (not the range). Make sure to escape the patterns to prevent your own shell from trying to expand them.\n ",examples:[["Unplug the lodash dependency from the active workspace","yarn unplug lodash"],["Unplug all instances of lodash referenced by any workspace","yarn unplug lodash -A"],["Unplug all instances of lodash referenced by the active workspace and its dependencies","yarn unplug lodash -R"],["Unplug all instances of lodash, anywhere","yarn unplug lodash -AR"],["Unplug one specific version of lodash","yarn unplug lodash@1.2.3"],["Unplug all packages with the `@babel` scope","yarn unplug '@babel/*'"],["Unplug all packages (only for testing, not recommended)","yarn unplug -R '*'"]]});var S0=t=>({cjs:K.join(t.cwd,dr.pnpCjs),data:K.join(t.cwd,dr.pnpData),esmLoader:K.join(t.cwd,dr.pnpEsmLoader)}),s1e=t=>/\s/.test(t)?JSON.stringify(t):t;async function zIt(t,e,r){let o=/\s*--require\s+\S*\.pnp\.c?js\s*/g,a=/\s*--experimental-loader\s+\S*\.pnp\.loader\.mjs\s*/,n=(e.NODE_OPTIONS??"").replace(o," ").replace(a," ").trim();if(t.configuration.get("nodeLinker")!=="pnp"){e.NODE_OPTIONS=n;return}let u=S0(t),A=`--require ${s1e(ue.fromPortablePath(u.cjs))}`;oe.existsSync(u.esmLoader)&&(A=`${A} --experimental-loader ${(0,i1e.pathToFileURL)(ue.fromPortablePath(u.esmLoader)).href}`),oe.existsSync(u.cjs)&&(e.NODE_OPTIONS=n?`${A} ${n}`:A)}async function XIt(t,e){let r=S0(t);e(r.cjs),e(r.data),e(r.esmLoader),e(t.configuration.get("pnpUnpluggedFolder"))}var ZIt={hooks:{populateYarnPaths:XIt,setupScriptEnvironment:zIt},configuration:{nodeLinker:{description:'The linker used for installing Node packages, one of: "pnp", "pnpm", or "node-modules"',type:"STRING",default:"pnp"},winLinkType:{description:"Whether Yarn should use Windows Junctions or symlinks when creating links on Windows.",type:"STRING",values:["junctions","symlinks"],default:"junctions"},pnpMode:{description:"If 'strict', generates standard PnP maps. If 'loose', merges them with the n_m resolution.",type:"STRING",default:"strict"},pnpShebang:{description:"String to prepend to the generated PnP script",type:"STRING",default:"#!/usr/bin/env node"},pnpIgnorePatterns:{description:"Array of glob patterns; files matching them will use the classic resolution",type:"STRING",default:[],isArray:!0},pnpEnableEsmLoader:{description:"If true, Yarn will generate an ESM loader (`.pnp.loader.mjs`). If this is not explicitly set Yarn tries to automatically detect whether ESM support is required.",type:"BOOLEAN",default:!1},pnpEnableInlining:{description:"If true, the PnP data will be inlined along with the generated loader",type:"BOOLEAN",default:!0},pnpFallbackMode:{description:"If true, the generated PnP loader will follow the top-level fallback rule",type:"STRING",default:"dependencies-only"},pnpUnpluggedFolder:{description:"Folder where the unplugged packages must be stored",type:"ABSOLUTE_PATH",default:"./.yarn/unplugged"}},linkers:[P0],commands:[x0]},$It=ZIt;var p1e=$e(u1e());qt();var gq=$e(Be("crypto")),h1e=$e(Be("fs")),g1e=1,Pi="node_modules",DQ=".bin",d1e=".yarn-state.yml",d1t=1e3,dq=(o=>(o.CLASSIC="classic",o.HARDLINKS_LOCAL="hardlinks-local",o.HARDLINKS_GLOBAL="hardlinks-global",o))(dq||{}),lv=class{constructor(){this.installStateCache=new Map}getCustomDataKey(){return JSON.stringify({name:"NodeModulesLinker",version:3})}supportsPackage(e,r){return this.isEnabled(r)}async findPackageLocation(e,r){if(!this.isEnabled(r))throw new Error("Assertion failed: Expected the node-modules linker to be enabled");let o=r.project.tryWorkspaceByLocator(e);if(o)return o.cwd;let a=await je.getFactoryWithDefault(this.installStateCache,r.project.cwd,async()=>await hq(r.project,{unrollAliases:!0}));if(a===null)throw new it("Couldn't find the node_modules state file - running an install might help (findPackageLocation)");let n=a.locatorMap.get(W.stringifyLocator(e));if(!n){let p=new it(`Couldn't find ${W.prettyLocator(r.project.configuration,e)} in the currently installed node_modules map - running an install might help`);throw p.code="LOCATOR_NOT_INSTALLED",p}let u=n.locations.sort((p,h)=>p.split(K.sep).length-h.split(K.sep).length),A=K.join(r.project.configuration.startingCwd,Pi);return u.find(p=>K.contains(A,p))||n.locations[0]}async findPackageLocator(e,r){if(!this.isEnabled(r))return null;let o=await je.getFactoryWithDefault(this.installStateCache,r.project.cwd,async()=>await hq(r.project,{unrollAliases:!0}));if(o===null)return null;let{locationRoot:a,segments:n}=PQ(K.resolve(e),{skipPrefix:r.project.cwd}),u=o.locationTree.get(a);if(!u)return null;let A=u.locator;for(let p of n){if(u=u.children.get(p),!u)break;A=u.locator||A}return W.parseLocator(A)}makeInstaller(e){return new pq(e)}isEnabled(e){return e.project.configuration.get("nodeLinker")==="node-modules"}},pq=class{constructor(e){this.opts=e;this.localStore=new Map;this.realLocatorChecksums=new Map;this.customData={store:new Map}}attachCustomData(e){this.customData=e}async installPackage(e,r){let o=K.resolve(r.packageFs.getRealPath(),r.prefixPath),a=this.customData.store.get(e.locatorHash);if(typeof a>"u"&&(a=await m1t(e,r),e.linkType==="HARD"&&this.customData.store.set(e.locatorHash,a)),!W.isPackageCompatible(e,this.opts.project.configuration.getSupportedArchitectures()))return{packageLocation:null,buildRequest:null};let n=new Map,u=new Set;n.has(W.stringifyIdent(e))||n.set(W.stringifyIdent(e),e.reference);let A=e;if(W.isVirtualLocator(e)){A=W.devirtualizeLocator(e);for(let E of e.peerDependencies.values())n.set(W.stringifyIdent(E),null),u.add(W.stringifyIdent(E))}let p={packageLocation:`${ue.fromPortablePath(o)}/`,packageDependencies:n,packagePeers:u,linkType:e.linkType,discardFromLookup:r.discardFromLookup??!1};this.localStore.set(e.locatorHash,{pkg:e,customPackageData:a,dependencyMeta:this.opts.project.getDependencyMeta(e,e.version),pnpNode:p});let h=r.checksum?r.checksum.substring(r.checksum.indexOf("/")+1):null;return this.realLocatorChecksums.set(A.locatorHash,h),{packageLocation:o,buildRequest:null}}async attachInternalDependencies(e,r){let o=this.localStore.get(e.locatorHash);if(typeof o>"u")throw new Error("Assertion failed: Expected information object to have been registered");for(let[a,n]of r){let u=W.areIdentsEqual(a,n)?n.reference:[W.stringifyIdent(n),n.reference];o.pnpNode.packageDependencies.set(W.stringifyIdent(a),u)}}async attachExternalDependents(e,r){throw new Error("External dependencies haven't been implemented for the node-modules linker")}async finalizeInstall(){if(this.opts.project.configuration.get("nodeLinker")!=="node-modules")return;let e=new mi({baseFs:new Jl({maxOpenFiles:80,readOnlyArchives:!0})}),r=await hq(this.opts.project),o=this.opts.project.configuration.get("nmMode");(r===null||o!==r.nmMode)&&(this.opts.project.storedBuildState.clear(),r={locatorMap:new Map,binSymlinks:new Map,locationTree:new Map,nmMode:o,mtimeMs:0});let a=new Map(this.opts.project.workspaces.map(v=>{let b=this.opts.project.configuration.get("nmHoistingLimits");try{b=je.validateEnum(KB,v.manifest.installConfig?.hoistingLimits??b)}catch{let T=W.prettyWorkspace(this.opts.project.configuration,v);this.opts.report.reportWarning(57,`${T}: Invalid 'installConfig.hoistingLimits' value. 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oe.removePromise(h),await oe.changeFilePromise(h,n,{automaticNewlines:!0})}async function hq(t,{unrollAliases:e=!1}={}){let r=t.cwd,o=K.join(r,Pi,d1e),a;try{a=await oe.statPromise(o)}catch{}if(!a)return null;let n=Vi(await oe.readFilePromise(o,"utf8"));if(n.__metadata.version>g1e)return null;let u=n.__metadata.nmMode||"classic",A=new Map,p=new Map;delete n.__metadata;for(let[h,E]of Object.entries(n)){let I=E.locations.map(b=>K.join(r,b)),v=E.bin;if(v)for(let[b,C]of Object.entries(v)){let T=K.join(r,ue.toPortablePath(b)),L=je.getMapWithDefault(p,T);for(let[U,J]of Object.entries(C))L.set(U,ue.toPortablePath([T,Pi,J].join(K.sep)))}if(A.set(h,{target:Bt.dot,linkType:"HARD",locations:I,aliases:E.aliases||[]}),e&&E.aliases)for(let b of 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if(C.isSymbolicLink())L={kind:"symlink",symlinkTo:await r.readlinkPromise(U)};else throw new Error(`Unsupported file type (file: ${U}, mode: 0o${await r.statSync(U).mode.toString(8).padStart(6,"0")})`);if(b.set(T,L),C.isDirectory()&&T!==Pi){let J=await A(T);for(let[te,le]of J)b.set(te,le)}}return b},p;if(a.value==="hardlinks-global"&&o&&u){let E=K.join(o,u.substring(0,2),`${u.substring(2)}.json`);try{p=new Map(Object.entries(JSON.parse(await oe.readFilePromise(E,"utf8"))))}catch{p=await A()}}else p=await A();let h=!1;for(let[E,I]of p){let v=K.join(e,E),b=K.join(t,E);if(I.kind==="directory")await oe.mkdirPromise(b,{recursive:!0});else if(I.kind==="file"){let C=I.mtimeMs;await E1t({srcPath:v,dstPath:b,entry:I,nmMode:a,baseFs:r,globalHardlinksStore:o}),I.mtimeMs!==C&&(h=!0)}else I.kind==="symlink"&&await mq(K.resolve(K.dirname(b),I.symlinkTo),b,n)}if(a.value==="hardlinks-global"&&o&&h&&u){let E=K.join(o,u.substring(0,2),`${u.substring(2)}.json`);await oe.removePromise(E),await 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h=u(A,A,p);h.size>0&&n.set(A,new Map([...n.get(A)||new Map,...h]))}return n}var f1e=(t,e)=>{if(!t||!e)return t===e;let r=W.parseLocator(t);W.isVirtualLocator(r)&&(r=W.devirtualizeLocator(r));let o=W.parseLocator(e);return W.isVirtualLocator(o)&&(o=W.devirtualizeLocator(o)),W.areLocatorsEqual(r,o)};function yq(t){return K.join(t.get("globalFolder"),"store")}async function B1t(t,e,{baseFs:r,project:o,report:a,loadManifest:n,realLocatorChecksums:u}){let A=K.join(o.cwd,Pi),{locationTree:p,binSymlinks:h,locatorLocations:E,installChangedByUser:I}=w1t(t.locationTree,t.binSymlinks,t.mtimeMs,o),v=m1e(e,{skipPrefix:o.cwd}),b=[],C=async({srcDir:we,dstDir:Pe,linkType:g,globalHardlinksStore:Ee,nmMode:De,windowsLinkType:ce,packageChecksum:ne})=>{let ee=(async()=>{try{g==="SOFT"?(await oe.mkdirPromise(K.dirname(Pe),{recursive:!0}),await mq(K.resolve(we),Pe,ce)):await C1t(Pe,we,{baseFs:r,globalHardlinksStore:Ee,nmMode:De,windowsLinkType:ce,packageChecksum:ne})}catch(Ie){throw Ie.message=`While 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a=[],n=r?t.workspaces:[e],u=["all","production"].includes(o),A=["all","development"].includes(o);for(let p of n)for(let h of p.anchoredPackage.dependencies.values())(p.manifest.devDependencies.has(h.identHash)?!A:!u)||a.push({workspace:p,dependency:h});return a}function BG(t,e,{recursive:r}){let o=new Map,a=new Set,n=[],u=(A,p)=>{let h=t.storedResolutions.get(p.descriptorHash);if(typeof h>"u")throw new Error("Assertion failed: The resolution should have been registered");if(!a.has(h))a.add(h);else return;let E=t.storedPackages.get(h);if(typeof E>"u")throw new Error("Assertion failed: The package should have been registered");if(W.ensureDevirtualizedLocator(E).reference.startsWith("npm:")&&E.version!==null){let v=W.stringifyIdent(E),b=je.getMapWithDefault(o,v);je.getArrayWithDefault(b,E.version).push(A)}if(r)for(let v of E.dependencies.values())n.push([E,v])};for(let{workspace:A,dependency:p}of e)n.push([A.anchoredLocator,p]);for(;n.length>0;){let[A,p]=n.shift();u(A,p)}return o}var _0=class extends ut{constructor(){super(...arguments);this.all=ge.Boolean("-A,--all",!1,{description:"Audit dependencies from all workspaces"});this.recursive=ge.Boolean("-R,--recursive",!1,{description:"Audit transitive dependencies as well"});this.environment=ge.String("--environment","all",{description:"Which environments to cover",validator:Vs(Qv)});this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.noDeprecations=ge.Boolean("--no-deprecations",!1,{description:"Don't warn about deprecated packages"});this.severity=ge.String("--severity","info",{description:"Minimal severity requested for packages to be displayed",validator:Vs(Fv)});this.excludes=ge.Array("--exclude",[],{description:"Array of glob patterns of packages to exclude from audit"});this.ignores=ge.Array("--ignore",[],{description:"Array of glob patterns of advisory ID's to ignore in the audit report"})}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd);if(!a)throw new rr(o.cwd,this.context.cwd);await o.restoreInstallState();let n=IG(o,a,{all:this.all,environment:this.environment}),u=BG(o,n,{recursive:this.recursive}),A=Array.from(new Set([...r.get("npmAuditExcludePackages"),...this.excludes])),p=Object.create(null);for(let[L,U]of u)A.some(J=>vG.default.isMatch(L,J))||(p[L]=[...U.keys()]);let h=Zn.getAuditRegistry({configuration:r}),E,I=await AA.start({configuration:r,stdout:this.context.stdout},async()=>{let L=on.post("/-/npm/v1/security/advisories/bulk",p,{authType:on.AuthType.BEST_EFFORT,configuration:r,jsonResponse:!0,registry:h}),U=this.noDeprecations?[]:await Promise.all(Array.from(Object.entries(p),async([te,le])=>{let pe=await on.getPackageMetadata(W.parseIdent(te),{project:o});return je.mapAndFilter(le,Ae=>{let{deprecated:ye}=pe.versions[Ae];return ye?[te,Ae,ye]:je.mapAndFilter.skip})})),J=await L;for(let[te,le,pe]of U.flat(1))Object.hasOwn(J,te)&&J[te].some(Ae=>kr.satisfiesWithPrereleases(le,Ae.vulnerable_versions))||(J[te]??=[],J[te].push({id:`${te} (deprecation)`,title:pe.trim()||"This package has been deprecated.",severity:"moderate",vulnerable_versions:le}));E=J});if(I.hasErrors())return I.exitCode();let v=CG(this.severity),b=Array.from(new Set([...r.get("npmAuditIgnoreAdvisories"),...this.ignores])),C=Object.create(null);for(let[L,U]of Object.entries(E)){let J=U.filter(te=>!vG.default.isMatch(`${te.id}`,b)&&v.has(te.severity));J.length>0&&(C[L]=J.map(te=>{let le=u.get(L);if(typeof le>"u")throw new Error("Assertion failed: Expected the registry to only return packages that were requested");let pe=[...le.keys()].filter(ye=>kr.satisfiesWithPrereleases(ye,te.vulnerable_versions)),Ae=new Map;for(let ye of pe)for(let ae of le.get(ye))Ae.set(ae.locatorHash,ae);return{...te,versions:pe,dependents:[...Ae.values()]}}))}let T=Object.keys(C).length>0;return T?($s.emitTree(wG(C),{configuration:r,json:this.json,stdout:this.context.stdout,separators:2}),1):(await Nt.start({configuration:r,includeFooter:!1,json:this.json,stdout:this.context.stdout},async L=>{L.reportInfo(1,"No audit suggestions")}),T?1:0)}};_0.paths=[["npm","audit"]],_0.usage=nt.Usage({description:"perform a vulnerability audit against the installed packages",details:` + This command checks for known security reports on the packages you use. The reports are by default extracted from the npm registry, and may or may not be relevant to your actual program (not all vulnerabilities affect all code paths). + + For consistency with our other commands the default is to only check the direct dependencies for the active workspace. To extend this search to all workspaces, use \`-A,--all\`. To extend this search to both direct and transitive dependencies, use \`-R,--recursive\`. + + Applying the \`--severity\` flag will limit the audit table to vulnerabilities of the corresponding severity and above. Valid values are ${ow.map(r=>`\`${r}\``).join(", ")}. + + If the \`--json\` flag is set, Yarn will print the output exactly as received from the registry. Regardless of this flag, the process will exit with a non-zero exit code if a report is found for the selected packages. + + If certain packages produce false positives for a particular environment, the \`--exclude\` flag can be used to exclude any number of packages from the audit. This can also be set in the configuration file with the \`npmAuditExcludePackages\` option. + + If particular advisories are needed to be ignored, the \`--ignore\` flag can be used with Advisory ID's to ignore any number of advisories in the audit report. This can also be set in the configuration file with the \`npmAuditIgnoreAdvisories\` option. + + To understand the dependency tree requiring vulnerable packages, check the raw report with the \`--json\` flag or use \`yarn why package\` to get more information as to who depends on them. + `,examples:[["Checks for known security issues with the installed packages. The output is a list of known issues.","yarn npm audit"],["Audit dependencies in all workspaces","yarn npm audit --all"],["Limit auditing to `dependencies` (excludes `devDependencies`)","yarn npm audit --environment production"],["Show audit report as valid JSON","yarn npm audit --json"],["Audit all direct and transitive dependencies","yarn npm audit --recursive"],["Output moderate (or more severe) vulnerabilities","yarn npm audit --severity moderate"],["Exclude certain packages","yarn npm audit --exclude package1 --exclude package2"],["Ignore specific advisories","yarn npm audit --ignore 1234567 --ignore 7654321"]]});Ye();Ye();Pt();qt();var DG=$e(zn()),PG=Be("util"),H0=class extends ut{constructor(){super(...arguments);this.fields=ge.String("-f,--fields",{description:"A comma-separated list of manifest fields that should be displayed"});this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.packages=ge.Rest()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o}=await St.find(r,this.context.cwd),a=typeof this.fields<"u"?new Set(["name",...this.fields.split(/\s*,\s*/)]):null,n=[],u=!1,A=await Nt.start({configuration:r,includeFooter:!1,json:this.json,stdout:this.context.stdout},async p=>{for(let h of this.packages){let E;if(h==="."){let le=o.topLevelWorkspace;if(!le.manifest.name)throw new it(`Missing ${de.pretty(r,"name",de.Type.CODE)} field in ${ue.fromPortablePath(K.join(le.cwd,dr.manifest))}`);E=W.makeDescriptor(le.manifest.name,"unknown")}else E=W.parseDescriptor(h);let I=on.getIdentUrl(E),v=SG(await on.get(I,{configuration:r,ident:E,jsonResponse:!0,customErrorMessage:on.customPackageError})),b=Object.keys(v.versions).sort(DG.default.compareLoose),T=v["dist-tags"].latest||b[b.length-1],L=kr.validRange(E.range);if(L){let le=DG.default.maxSatisfying(b,L);le!==null?T=le:(p.reportWarning(0,`Unmet range ${W.prettyRange(r,E.range)}; falling back to the latest version`),u=!0)}else Object.hasOwn(v["dist-tags"],E.range)?T=v["dist-tags"][E.range]:E.range!=="unknown"&&(p.reportWarning(0,`Unknown tag ${W.prettyRange(r,E.range)}; falling back to the latest version`),u=!0);let U=v.versions[T],J={...v,...U,version:T,versions:b},te;if(a!==null){te={};for(let le of a){let pe=J[le];if(typeof pe<"u")te[le]=pe;else{p.reportWarning(1,`The ${de.pretty(r,le,de.Type.CODE)} field doesn't exist inside ${W.prettyIdent(r,E)}'s information`),u=!0;continue}}}else this.json||(delete J.dist,delete J.readme,delete J.users),te=J;p.reportJson(te),this.json||n.push(te)}});PG.inspect.styles.name="cyan";for(let p of n)(p!==n[0]||u)&&this.context.stdout.write(` +`),this.context.stdout.write(`${(0,PG.inspect)(p,{depth:1/0,colors:!0,compact:!1})} +`);return A.exitCode()}};H0.paths=[["npm","info"]],H0.usage=nt.Usage({category:"Npm-related commands",description:"show information about a package",details:"\n This command fetches information about a package from the npm registry and prints it in a tree format.\n\n The package does not have to be installed locally, but needs to have been published (in particular, local changes will be ignored even for workspaces).\n\n Append `@` to the package argument to provide information specific to the latest version that satisfies the range or to the corresponding tagged version. If the range is invalid or if there is no version satisfying the range, the command will print a warning and fall back to the latest version.\n\n If the `-f,--fields` option is set, it's a comma-separated list of fields which will be used to only display part of the package information.\n\n By default, this command won't return the `dist`, `readme`, and `users` fields, since they are often very long. To explicitly request those fields, explicitly list them with the `--fields` flag or request the output in JSON mode.\n ",examples:[["Show all available information about react (except the `dist`, `readme`, and `users` fields)","yarn npm info react"],["Show all available information about react as valid JSON (including the `dist`, `readme`, and `users` fields)","yarn npm info react --json"],["Show all available information about react@16.12.0","yarn npm info react@16.12.0"],["Show all available information about react@next","yarn npm info react@next"],["Show the description of react","yarn npm info react --fields description"],["Show all available versions of react","yarn npm info react --fields versions"],["Show the readme of react","yarn npm info react --fields readme"],["Show a few fields of react","yarn npm info react --fields homepage,repository"]]});function SG(t){if(Array.isArray(t)){let e=[];for(let r of t)r=SG(r),r&&e.push(r);return e}else if(typeof t=="object"&&t!==null){let e={};for(let r of Object.keys(t)){if(r.startsWith("_"))continue;let o=SG(t[r]);o&&(e[r]=o)}return e}else return t||null}Ye();Ye();qt();var DBe=$e(A2()),j0=class extends ut{constructor(){super(...arguments);this.scope=ge.String("-s,--scope",{description:"Login to the registry configured for a given scope"});this.publish=ge.Boolean("--publish",!1,{description:"Login to the publish registry"});this.alwaysAuth=ge.Boolean("--always-auth",{description:"Set the npmAlwaysAuth configuration"})}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),o=await tF({configuration:r,cwd:this.context.cwd,publish:this.publish,scope:this.scope});return(await Nt.start({configuration:r,stdout:this.context.stdout,includeFooter:!1},async n=>{let u=await _vt({configuration:r,registry:o,report:n,stdin:this.context.stdin,stdout:this.context.stdout}),A=`/-/user/org.couchdb.user:${encodeURIComponent(u.name)}`,p=await on.put(A,u,{attemptedAs:u.name,configuration:r,registry:o,jsonResponse:!0,authType:on.AuthType.NO_AUTH});return await Uvt(o,p.token,{alwaysAuth:this.alwaysAuth,scope:this.scope}),n.reportInfo(0,"Successfully logged in")})).exitCode()}};j0.paths=[["npm","login"]],j0.usage=nt.Usage({category:"Npm-related commands",description:"store new login info to access the npm registry",details:"\n This command will ask you for your username, password, and 2FA One-Time-Password (when it applies). It will then modify your local configuration (in your home folder, never in the project itself) to reference the new tokens thus generated.\n\n Adding the `-s,--scope` flag will cause the authentication to be done against whatever registry is configured for the associated scope (see also `npmScopes`).\n\n Adding the `--publish` flag will cause the authentication to be done against the registry used when publishing the package (see also `publishConfig.registry` and `npmPublishRegistry`).\n ",examples:[["Login to the default registry","yarn npm login"],["Login to the registry linked to the @my-scope registry","yarn npm login --scope my-scope"],["Login to the publish registry for the current package","yarn npm login --publish"]]});async function tF({scope:t,publish:e,configuration:r,cwd:o}){return t&&e?Zn.getScopeRegistry(t,{configuration:r,type:Zn.RegistryType.PUBLISH_REGISTRY}):t?Zn.getScopeRegistry(t,{configuration:r}):e?Zn.getPublishRegistry((await AC(r,o)).manifest,{configuration:r}):Zn.getDefaultRegistry({configuration:r})}async function Uvt(t,e,{alwaysAuth:r,scope:o}){let a=u=>A=>{let p=je.isIndexableObject(A)?A:{},h=p[u],E=je.isIndexableObject(h)?h:{};return{...p,[u]:{...E,...r!==void 0?{npmAlwaysAuth:r}:{},npmAuthToken:e}}},n=o?{npmScopes:a(o)}:{npmRegistries:a(t)};return await Ve.updateHomeConfiguration(n)}async function _vt({configuration:t,registry:e,report:r,stdin:o,stdout:a}){r.reportInfo(0,`Logging in to ${de.pretty(t,e,de.Type.URL)}`);let n=!1;if(e.match(/^https:\/\/npm\.pkg\.github\.com(\/|$)/)&&(r.reportInfo(0,"You seem to be using the GitHub Package Registry. Tokens must be generated with the 'repo', 'write:packages', and 'read:packages' permissions."),n=!0),r.reportSeparator(),t.env.YARN_IS_TEST_ENV)return{name:t.env.YARN_INJECT_NPM_USER||"",password:t.env.YARN_INJECT_NPM_PASSWORD||""};let{username:u,password:A}=await(0,DBe.prompt)([{type:"input",name:"username",message:"Username:",required:!0,onCancel:()=>process.exit(130),stdin:o,stdout:a},{type:"password",name:"password",message:n?"Token:":"Password:",required:!0,onCancel:()=>process.exit(130),stdin:o,stdout:a}]);return r.reportSeparator(),{name:u,password:A}}Ye();Ye();qt();var aw=new Set(["npmAuthIdent","npmAuthToken"]),q0=class extends ut{constructor(){super(...arguments);this.scope=ge.String("-s,--scope",{description:"Logout of the registry configured for a given scope"});this.publish=ge.Boolean("--publish",!1,{description:"Logout of the publish registry"});this.all=ge.Boolean("-A,--all",!1,{description:"Logout of all registries"})}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),o=async()=>{let n=await tF({configuration:r,cwd:this.context.cwd,publish:this.publish,scope:this.scope}),u=await Ve.find(this.context.cwd,this.context.plugins),A=W.makeIdent(this.scope??null,"pkg");return!Zn.getAuthConfiguration(n,{configuration:u,ident:A}).get("npmAuthToken")};return(await Nt.start({configuration:r,stdout:this.context.stdout},async n=>{if(this.all&&(await jvt(),n.reportInfo(0,"Successfully logged out from everything")),this.scope){await PBe("npmScopes",this.scope),await o()?n.reportInfo(0,`Successfully logged out from ${this.scope}`):n.reportWarning(0,"Scope authentication settings removed, but some other ones settings still apply to it");return}let u=await tF({configuration:r,cwd:this.context.cwd,publish:this.publish});await PBe("npmRegistries",u),await o()?n.reportInfo(0,`Successfully logged out from ${u}`):n.reportWarning(0,"Registry authentication settings removed, but some other ones settings still apply to it")})).exitCode()}};q0.paths=[["npm","logout"]],q0.usage=nt.Usage({category:"Npm-related commands",description:"logout of the npm registry",details:"\n This command will log you out by modifying your local configuration (in your home folder, never in the project itself) to delete all credentials linked to a registry.\n\n Adding the `-s,--scope` flag will cause the deletion to be done against whatever registry is configured for the associated scope (see also `npmScopes`).\n\n Adding the `--publish` flag will cause the deletion to be done against the registry used when publishing the package (see also `publishConfig.registry` and `npmPublishRegistry`).\n\n Adding the `-A,--all` flag will cause the deletion to be done against all registries and scopes.\n ",examples:[["Logout of the default registry","yarn npm logout"],["Logout of the @my-scope scope","yarn npm logout --scope my-scope"],["Logout of the publish registry for the current package","yarn npm logout --publish"],["Logout of all registries","yarn npm logout --all"]]});function Hvt(t,e){let r=t[e];if(!je.isIndexableObject(r))return!1;let o=new Set(Object.keys(r));if([...aw].every(n=>!o.has(n)))return!1;for(let n of aw)o.delete(n);if(o.size===0)return t[e]=void 0,!0;let a={...r};for(let n of aw)delete a[n];return t[e]=a,!0}async function jvt(){let t=e=>{let r=!1,o=je.isIndexableObject(e)?{...e}:{};o.npmAuthToken&&(delete o.npmAuthToken,r=!0);for(let a of Object.keys(o))Hvt(o,a)&&(r=!0);if(Object.keys(o).length!==0)return r?o:e};return await Ve.updateHomeConfiguration({npmRegistries:t,npmScopes:t})}async function PBe(t,e){return await Ve.updateHomeConfiguration({[t]:r=>{let o=je.isIndexableObject(r)?r:{};if(!Object.hasOwn(o,e))return r;let a=o[e],n=je.isIndexableObject(a)?a:{},u=new Set(Object.keys(n));if([...aw].every(p=>!u.has(p)))return r;for(let p of aw)u.delete(p);if(u.size===0)return Object.keys(o).length===1?void 0:{...o,[e]:void 0};let A={};for(let p of aw)A[p]=void 0;return{...o,[e]:{...n,...A}}}})}Ye();qt();var G0=class extends ut{constructor(){super(...arguments);this.access=ge.String("--access",{description:"The access for the published package (public or restricted)"});this.tag=ge.String("--tag","latest",{description:"The tag on the registry that the package should be attached to"});this.tolerateRepublish=ge.Boolean("--tolerate-republish",!1,{description:"Warn and exit when republishing an already existing version of a package"});this.otp=ge.String("--otp",{description:"The OTP token to use with the command"})}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd);if(!a)throw new rr(o.cwd,this.context.cwd);if(a.manifest.private)throw new it("Private workspaces cannot be published");if(a.manifest.name===null||a.manifest.version===null)throw new it("Workspaces must have valid names and versions to be published on an external registry");await o.restoreInstallState();let n=a.manifest.name,u=a.manifest.version,A=Zn.getPublishRegistry(a.manifest,{configuration:r});return(await Nt.start({configuration:r,stdout:this.context.stdout},async h=>{if(this.tolerateRepublish)try{let E=await on.get(on.getIdentUrl(n),{configuration:r,registry:A,ident:n,jsonResponse:!0});if(!Object.hasOwn(E,"versions"))throw new zt(15,'Registry returned invalid data for - missing "versions" field');if(Object.hasOwn(E.versions,u)){h.reportWarning(0,`Registry already knows about version ${u}; skipping.`);return}}catch(E){if(E.originalError?.response?.statusCode!==404)throw E}await un.maybeExecuteWorkspaceLifecycleScript(a,"prepublish",{report:h}),await CA.prepareForPack(a,{report:h},async()=>{let E=await CA.genPackList(a);for(let T of E)h.reportInfo(null,T);let I=await CA.genPackStream(a,E),v=await je.bufferStream(I),b=await sw.getGitHead(a.cwd),C=await sw.makePublishBody(a,v,{access:this.access,tag:this.tag,registry:A,gitHead:b});await on.put(on.getIdentUrl(n),C,{configuration:r,registry:A,ident:n,otp:this.otp,jsonResponse:!0})}),h.reportInfo(0,"Package archive published")})).exitCode()}};G0.paths=[["npm","publish"]],G0.usage=nt.Usage({category:"Npm-related commands",description:"publish the active workspace to the npm registry",details:'\n This command will pack the active workspace into a fresh archive and upload it to the npm registry.\n\n The package will by default be attached to the `latest` tag on the registry, but this behavior can be overriden by using the `--tag` option.\n\n Note that for legacy reasons scoped packages are by default published with an access set to `restricted` (aka "private packages"). This requires you to register for a paid npm plan. In case you simply wish to publish a public scoped package to the registry (for free), just add the `--access public` flag. This behavior can be enabled by default through the `npmPublishAccess` settings.\n ',examples:[["Publish the active workspace","yarn npm publish"]]});Ye();qt();var SBe=$e(zn());Ye();Pt();qt();var Y0=class extends ut{constructor(){super(...arguments);this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.package=ge.String({required:!1})}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd),n;if(typeof this.package<"u")n=W.parseIdent(this.package);else{if(!a)throw new rr(o.cwd,this.context.cwd);if(!a.manifest.name)throw new it(`Missing 'name' field in ${ue.fromPortablePath(K.join(a.cwd,dr.manifest))}`);n=a.manifest.name}let u=await Rv(n,r),p={children:je.sortMap(Object.entries(u),([h])=>h).map(([h,E])=>({value:de.tuple(de.Type.RESOLUTION,{descriptor:W.makeDescriptor(n,h),locator:W.makeLocator(n,E)})}))};return $s.emitTree(p,{configuration:r,json:this.json,stdout:this.context.stdout})}};Y0.paths=[["npm","tag","list"]],Y0.usage=nt.Usage({category:"Npm-related commands",description:"list all dist-tags of a package",details:` + This command will list all tags of a package from the npm registry. + + If the package is not specified, Yarn will default to the current workspace. + `,examples:[["List all tags of package `my-pkg`","yarn npm tag list my-pkg"]]});async function Rv(t,e){let r=`/-/package${on.getIdentUrl(t)}/dist-tags`;return on.get(r,{configuration:e,ident:t,jsonResponse:!0,customErrorMessage:on.customPackageError})}var W0=class extends ut{constructor(){super(...arguments);this.package=ge.String();this.tag=ge.String()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd);if(!a)throw new rr(o.cwd,this.context.cwd);let n=W.parseDescriptor(this.package,!0),u=n.range;if(!SBe.default.valid(u))throw new it(`The range ${de.pretty(r,n.range,de.Type.RANGE)} must be a valid semver version`);let A=Zn.getPublishRegistry(a.manifest,{configuration:r}),p=de.pretty(r,n,de.Type.IDENT),h=de.pretty(r,u,de.Type.RANGE),E=de.pretty(r,this.tag,de.Type.CODE);return(await Nt.start({configuration:r,stdout:this.context.stdout},async v=>{let b=await Rv(n,r);Object.hasOwn(b,this.tag)&&b[this.tag]===u&&v.reportWarning(0,`Tag ${E} is already set to version ${h}`);let C=`/-/package${on.getIdentUrl(n)}/dist-tags/${encodeURIComponent(this.tag)}`;await on.put(C,u,{configuration:r,registry:A,ident:n,jsonRequest:!0,jsonResponse:!0}),v.reportInfo(0,`Tag ${E} added to version ${h} of package ${p}`)})).exitCode()}};W0.paths=[["npm","tag","add"]],W0.usage=nt.Usage({category:"Npm-related commands",description:"add a tag for a specific version of a package",details:` + This command will add a tag to the npm registry for a specific version of a package. If the tag already exists, it will be overwritten. + `,examples:[["Add a `beta` tag for version `2.3.4-beta.4` of package `my-pkg`","yarn npm tag add my-pkg@2.3.4-beta.4 beta"]]});Ye();qt();var V0=class extends ut{constructor(){super(...arguments);this.package=ge.String();this.tag=ge.String()}async execute(){if(this.tag==="latest")throw new it("The 'latest' tag cannot be removed.");let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd);if(!a)throw new rr(o.cwd,this.context.cwd);let n=W.parseIdent(this.package),u=Zn.getPublishRegistry(a.manifest,{configuration:r}),A=de.pretty(r,this.tag,de.Type.CODE),p=de.pretty(r,n,de.Type.IDENT),h=await Rv(n,r);if(!Object.hasOwn(h,this.tag))throw new it(`${A} is not a tag of package ${p}`);return(await Nt.start({configuration:r,stdout:this.context.stdout},async I=>{let v=`/-/package${on.getIdentUrl(n)}/dist-tags/${encodeURIComponent(this.tag)}`;await on.del(v,{configuration:r,registry:u,ident:n,jsonResponse:!0}),I.reportInfo(0,`Tag ${A} removed from package ${p}`)})).exitCode()}};V0.paths=[["npm","tag","remove"]],V0.usage=nt.Usage({category:"Npm-related commands",description:"remove a tag from a package",details:` + This command will remove a tag from a package from the npm registry. + `,examples:[["Remove the `beta` tag from package `my-pkg`","yarn npm tag remove my-pkg beta"]]});Ye();Ye();qt();var K0=class extends ut{constructor(){super(...arguments);this.scope=ge.String("-s,--scope",{description:"Print username for the registry configured for a given scope"});this.publish=ge.Boolean("--publish",!1,{description:"Print username for the publish registry"})}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),o;return this.scope&&this.publish?o=Zn.getScopeRegistry(this.scope,{configuration:r,type:Zn.RegistryType.PUBLISH_REGISTRY}):this.scope?o=Zn.getScopeRegistry(this.scope,{configuration:r}):this.publish?o=Zn.getPublishRegistry((await AC(r,this.context.cwd)).manifest,{configuration:r}):o=Zn.getDefaultRegistry({configuration:r}),(await Nt.start({configuration:r,stdout:this.context.stdout},async n=>{let u;try{u=await on.get("/-/whoami",{configuration:r,registry:o,authType:on.AuthType.ALWAYS_AUTH,jsonResponse:!0,ident:this.scope?W.makeIdent(this.scope,""):void 0})}catch(A){if(A.response?.statusCode===401||A.response?.statusCode===403){n.reportError(41,"Authentication failed - your credentials may have expired");return}else throw A}n.reportInfo(0,u.username)})).exitCode()}};K0.paths=[["npm","whoami"]],K0.usage=nt.Usage({category:"Npm-related commands",description:"display the name of the authenticated user",details:"\n Print the username associated with the current authentication settings to the standard output.\n\n When using `-s,--scope`, the username printed will be the one that matches the authentication settings of the registry associated with the given scope (those settings can be overriden using the `npmRegistries` map, and the registry associated with the scope is configured via the `npmScopes` map).\n\n When using `--publish`, the registry we'll select will by default be the one used when publishing packages (`publishConfig.registry` or `npmPublishRegistry` if available, otherwise we'll fallback to the regular `npmRegistryServer`).\n ",examples:[["Print username for the default registry","yarn npm whoami"],["Print username for the registry on a given scope","yarn npm whoami --scope company"]]});var qvt={configuration:{npmPublishAccess:{description:"Default access of the published packages",type:"STRING",default:null},npmAuditExcludePackages:{description:"Array of glob patterns of packages to exclude from npm audit",type:"STRING",default:[],isArray:!0},npmAuditIgnoreAdvisories:{description:"Array of glob patterns of advisory IDs to exclude from npm audit",type:"STRING",default:[],isArray:!0}},commands:[_0,H0,j0,q0,G0,W0,Y0,V0,K0]},Gvt=qvt;var NG={};Kt(NG,{PatchCommand:()=>X0,PatchCommitCommand:()=>z0,PatchFetcher:()=>Uv,PatchResolver:()=>_v,default:()=>lDt,patchUtils:()=>Dm});Ye();Ye();Pt();nA();var Dm={};Kt(Dm,{applyPatchFile:()=>nF,diffFolders:()=>TG,ensureUnpatchedDescriptor:()=>bG,ensureUnpatchedLocator:()=>sF,extractPackageToDisk:()=>FG,extractPatchFlags:()=>RBe,isParentRequired:()=>QG,isPatchDescriptor:()=>iF,isPatchLocator:()=>J0,loadPatchFiles:()=>Ov,makeDescriptor:()=>oF,makeLocator:()=>kG,makePatchHash:()=>RG,parseDescriptor:()=>Lv,parseLocator:()=>Mv,parsePatchFile:()=>Nv,unpatchDescriptor:()=>sDt,unpatchLocator:()=>oDt});Ye();Pt();Ye();Pt();var Yvt=/^@@ -(\d+)(,(\d+))? 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re-release):")),g.size>3?h.createElement(A,{marginTop:1},h.createElement(le,{workspaces:T.releaseRoots,releases:ae})):null,h.createElement(A,{marginTop:1,flexDirection:"column"},h.createElement(o,{active:Ee%2===0,radius:1,size:2,onFocusRequest:ce},[...T.releaseRoots].map(ne=>h.createElement(U,{key:ne.cwd,workspace:ne,decision:ae.get(ne)||"undecided",setDecision:ee=>we(ne,ee)}))))),g.size>0?h.createElement(h.Fragment,null,h.createElement(A,{marginTop:1},h.createElement(p,{wrap:"wrap"},"The following workspaces depend on other workspaces that have been marked for release, and thus may need to be released as well:")),h.createElement(A,null,h.createElement(p,null,"(Press ",h.createElement(p,{bold:!0,color:"cyanBright"},"")," to move the focus between the workspace groups.)")),g.size>5?h.createElement(A,{marginTop:1},h.createElement(le,{workspaces:g,releases:ae})):null,h.createElement(A,{marginTop:1,flexDirection:"column"},h.createElement(o,{active:Ee%2===1,radius:2,size:2,onFocusRequest:ce},[...g].map(ne=>h.createElement(U,{key:ne.cwd,workspace:ne,decision:ae.get(ne)||"undecided",setDecision:ee=>we(ne,ee)}))))):null)},{versionFile:T},{stdin:this.context.stdin,stdout:this.context.stdout,stderr:this.context.stderr});if(typeof Ae>"u")return 1;T.releases.clear();for(let[ye,ae]of Ae)T.releases.set(ye,ae);await T.saveAll()}async executeStandard(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd);if(!a)throw new rr(o.cwd,this.context.cwd);return await o.restoreInstallState(),(await Nt.start({configuration:r,stdout:this.context.stdout},async u=>{let A=await hw(o);if(A===null||A.releaseRoots.size===0)return;if(A.root===null)throw new it("This command can only be run on Git repositories");if(u.reportInfo(0,`Your PR was started right after ${de.pretty(r,A.baseHash.slice(0,7),"yellow")} ${de.pretty(r,A.baseTitle,"magenta")}`),A.changedFiles.size>0){u.reportInfo(0,"You have changed the following files since then:"),u.reportSeparator();for(let v of A.changedFiles)u.reportInfo(null,`${de.pretty(r,ue.fromPortablePath(A.root),"gray")}${ue.sep}${ue.relative(ue.fromPortablePath(A.root),ue.fromPortablePath(v))}`)}let p=!1,h=!1,E=cF(A);if(E.size>0){p||u.reportSeparator();for(let v of E)u.reportError(0,`${W.prettyLocator(r,v.anchoredLocator)} has been modified but doesn't have a release strategy attached`);p=!0}let I=qv(A);for(let[v,b]of I)h||u.reportSeparator(),u.reportError(0,`${W.prettyLocator(r,v.anchoredLocator)} doesn't have a release strategy attached, but depends on ${W.prettyWorkspace(r,b)} which is planned for release.`),h=!0;(p||h)&&(u.reportSeparator(),u.reportInfo(0,"This command detected that at least some workspaces have received modifications without explicit instructions as to how they had to be released (if needed)."),u.reportInfo(0,"To correct these errors, run `yarn version check --interactive` then follow the instructions."))})).exitCode()}};eg.paths=[["version","check"]],eg.usage=nt.Usage({category:"Release-related commands",description:"check that all the relevant packages have been bumped",details:"\n **Warning:** This command currently requires Git.\n\n This command will check that all the packages covered by the files listed in argument have been properly bumped or declined to bump.\n\n In the case of a bump, the check will also cover transitive packages - meaning that should `Foo` be bumped, a package `Bar` depending on `Foo` will require a decision as to whether `Bar` will need to be bumped. This check doesn't cross packages that have declined to bump.\n\n In case no arguments are passed to the function, the list of modified files will be generated by comparing the HEAD against `master`.\n ",examples:[["Check whether the modified packages need a bump","yarn version check"]]});Ye();qt();var fF=$e(zn());var tg=class extends ut{constructor(){super(...arguments);this.deferred=ge.Boolean("-d,--deferred",{description:"Prepare the version to be bumped during the next release cycle"});this.immediate=ge.Boolean("-i,--immediate",{description:"Bump the version immediately"});this.strategy=ge.String()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd);if(!a)throw new rr(o.cwd,this.context.cwd);let n=r.get("preferDeferredVersions");this.deferred&&(n=!0),this.immediate&&(n=!1);let u=fF.default.valid(this.strategy),A=this.strategy==="decline",p;if(u)if(a.manifest.version!==null){let E=JG(a.manifest.version,this.strategy);E!==null?p=E:p=this.strategy}else p=this.strategy;else{let E=a.manifest.version;if(!A){if(E===null)throw new it("Can't bump the version if there wasn't a version to begin with - use 0.0.0 as initial version then run the command again.");if(typeof E!="string"||!fF.default.valid(E))throw new it(`Can't bump the version (${E}) if it's not valid semver`)}p=fw(this.strategy)}if(!n){let I=(await jv(o)).get(a);if(typeof I<"u"&&p!=="decline"){let v=uF(a.manifest.version,p);if(fF.default.lt(v,I))throw new it(`Can't bump the version to one that would be lower than the current deferred one (${I})`)}}let h=await hw(o,{allowEmpty:!0});return h.releases.set(a,p),await h.saveAll(),n?0:await this.cli.run(["version","apply"])}};tg.paths=[["version"]],tg.usage=nt.Usage({category:"Release-related commands",description:"apply a new version to the current package",details:"\n This command will bump the version number for the given package, following the specified strategy:\n\n - If `major`, the first number from the semver range will be increased (`X.0.0`).\n - If `minor`, the second number from the semver range will be increased (`0.X.0`).\n - If `patch`, the third number from the semver range will be increased (`0.0.X`).\n - If prefixed by `pre` (`premajor`, ...), a `-0` suffix will be set (`0.0.0-0`).\n - If `prerelease`, the suffix will be increased (`0.0.0-X`); 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can't satisfy the dependency graph")}});return pe!==null?pe:ye.exitCode()}};op.paths=[["workspaces","foreach"]],op.usage=nt.Usage({category:"Workspace-related commands",description:"run a command on all workspaces",details:"\n This command will run a given sub-command on current and all its descendant workspaces. Various flags can alter the exact behavior of the command:\n\n - If `-p,--parallel` is set, the commands will be ran in parallel; they'll by default be limited to a number of parallel tasks roughly equal to half your core number, but that can be overridden via `-j,--jobs`, or disabled by setting `-j unlimited`.\n\n - If `-p,--parallel` and `-i,--interlaced` are both set, Yarn will print the lines from the output as it receives them. If `-i,--interlaced` wasn't set, it would instead buffer the output from each process and print the resulting buffers only after their source processes have exited.\n\n - If `-t,--topological` is set, Yarn will only run the command after all workspaces that it depends on through the `dependencies` field have successfully finished executing. 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IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, + INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM + LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR + OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR + PERFORMANCE OF THIS SOFTWARE. + */ +/** + @license + Copyright Joyent, Inc. and other Node contributors. + + Permission is hereby granted, free of charge, to any person obtaining a + copy of this software and associated documentation files (the + "Software"), to deal in the Software without restriction, including + without limitation the rights to use, copy, modify, merge, publish, + distribute, sublicense, and/or sell copies of the Software, and to permit + persons to whom the Software is furnished to do so, subject to the + following conditions: + + The above copyright notice and this permission notice shall be included + in all copies or substantial portions of the Software. + + THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS + OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF + MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN + NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, + DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR + OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE + USE OR OTHER DEALINGS IN THE SOFTWARE. +*/ +/** + @license + Copyright Node.js contributors. All rights reserved. + + Permission is hereby granted, free of charge, to any person obtaining a copy + of this software and associated documentation files (the "Software"), to + deal in the Software without restriction, including without limitation the + rights to use, copy, modify, merge, publish, distribute, sublicense, and/or + sell copies of the Software, and to permit persons to whom the Software is + furnished to do so, subject to the following conditions: + + The above copyright notice and this permission notice shall be included in + all copies or substantial portions of the Software. + + THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR + IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, + FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE + AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER + LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING + FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS + IN THE SOFTWARE. +*/ +/** + @license + The MIT License (MIT) + + Copyright (c) 2014 Blake Embrey (hello@blakeembrey.com) + + Permission is hereby granted, free of charge, to any person obtaining a copy + of this software and associated documentation files (the "Software"), to deal + in the Software without restriction, including without limitation the rights + to use, copy, modify, merge, publish, distribute, sublicense, and/or sell + copies of the Software, and to permit persons to whom the Software is + furnished to do so, subject to the following conditions: + + The above copyright notice and this permission notice shall be included in + all copies or substantial portions of the Software. + + THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR + IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, + FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE + AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER + LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, + OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN + THE SOFTWARE. +*/ +/** @license React v0.18.0 + * scheduler.production.min.js + * + * Copyright (c) Facebook, Inc. and its affiliates. + * + * This source code is licensed under the MIT license found in the + * LICENSE file in the root directory of this source tree. + */ +/** @license React v0.24.0 + * react-reconciler.production.min.js + * + * Copyright (c) Facebook, Inc. and its affiliates. + * + * This source code is licensed under the MIT license found in the + * LICENSE file in the root directory of this source tree. + */ +/** @license React v16.13.1 + * react.production.min.js + * + * Copyright (c) Facebook, Inc. and its affiliates. + * + * This source code is licensed under the MIT license found in the + * LICENSE file in the root directory of this source tree. + */ diff --git a/docsite/.yarn/sdks/integrations.yml b/docsite/.yarn/sdks/integrations.yml new file mode 100644 index 00000000..aa9d0d0a --- /dev/null +++ b/docsite/.yarn/sdks/integrations.yml @@ -0,0 +1,5 @@ +# This file is automatically generated by @yarnpkg/sdks. +# Manual changes might be lost! + +integrations: + - vscode diff --git a/docsite/.yarnrc.yml b/docsite/.yarnrc.yml new file mode 100644 index 00000000..42f1e2eb --- /dev/null +++ b/docsite/.yarnrc.yml @@ -0,0 +1,7 @@ +compressionLevel: mixed + +enableGlobalCache: false + +nodeLinker: pnp + +yarnPath: .yarn/releases/yarn-4.0.2.cjs diff --git a/docsite/_includes/page.css b/docsite/_includes/page.css new file mode 100644 index 00000000..416ac89e --- /dev/null +++ b/docsite/_includes/page.css @@ -0,0 +1,115 @@ +html { + padding: 0; + margin: 0; +} + +body{ + font-family: "Helvetica Neue", Helvetica, Arial, sans-serif; + padding: 0; + margin: 0; +} + +footer{ + width: 100%; + height: 32px; + font-size: 12px; + display: flex; + flex-direction: row; + justify-content: center; + gap: 18px; + align-items: center; + color: #5d5d5d; + background: #e9eaeb; + border-top: 1px solid #c4c5c6; +} + +#cookiesManager{ + cursor: pointer; + color: #485fc7; +} + +.page-content { + display: flex; + flex-direction: row; + margin: 0; + padding: 0; + overflow: scroll; + padding: 0; + margin: 0; +} + +header { + background-color: lightgrey; + height: 2%; + padding: 10px; +} + +nav { + padding: 1em; + min-width: 200px; +} + +main { + flex: 1; + padding: 0 5em 0 5em; +} + +.logotitle { + font-size: 1.5em; + font-weight: bold; + margin: 5px; +} + +.number { + all: unset; +} + +.tag.token { + all: unset; +} + +main ul { + list-style-type: disc; + padding-left: 30px; + margin-top: 10px; +} + +h1 { + font-size: 2rem; + margin-top: 10px; +} + +h2 { + font-size: 1.5rem; + margin-top: 10px; + font-weight: 500; +} + +h3 { + font-size: 1rem; + margin-top: 10px; + font-weight: 500; +} +p { + margin-top: 10px; +} + +/* Accessibility styling */ + +a { + color: #485fc7; + text-decoration: underline; +} + +.menu-list a { + text-decoration: none; +} + + +.token.comment, .token.prolog, .token.doctype, .token.cdata { + color: #8093a5; +} + +.token.property, .token.tag, .token.constant, .token.symbol, .token.deleted { + color: #ff36ab; +} \ No newline at end of file diff --git a/docsite/_includes/page.njk b/docsite/_includes/page.njk new file mode 100644 index 00000000..b6f57bc9 --- /dev/null +++ b/docsite/_includes/page.njk @@ -0,0 +1,164 @@ +--- +title: GraphRAG +--- +{% set css %} +{% include "page.css" %} +{% endset %} + +{% macro link_to(url, text) %} +{{text}} +{% endmacro %} + + + + + + + {{ title }} + + + + + {% mermaid_js %} + {% initClipboardJS %} + + {% block js %} + + + {% endblock %} + + +
+ + GraphRAG +
+
+ + + + +
+

{{title}}

+ {{ content | safe }} +
+
+ + + \ No newline at end of file diff --git a/docsite/data/operation_dulce/ABOUT.md b/docsite/data/operation_dulce/ABOUT.md new file mode 100644 index 00000000..272d3bf6 --- /dev/null +++ b/docsite/data/operation_dulce/ABOUT.md @@ -0,0 +1,3 @@ +# About + +This document (Operation Dulce) is an AI-generated science fiction novella, included here for the purposes of integration testing. \ No newline at end of file diff --git a/docsite/data/operation_dulce/Operation Dulce v2 1 1.md b/docsite/data/operation_dulce/Operation Dulce v2 1 1.md new file mode 100644 index 00000000..95c9e3cd --- /dev/null +++ b/docsite/data/operation_dulce/Operation Dulce v2 1 1.md @@ -0,0 +1,970 @@ +# Operation: Dulce + +## Chapter 1 + +The thrumming of monitors cast a stark contrast to the rigid silence enveloping the group. Agent Alex Mercer, unfailingly determined on paper, seemed dwarfed by the enormity of the sterile briefing room where Paranormal Military Squad's elite convened. With dulled eyes, he scanned the projectors outlining their impending odyssey into Operation: Dulce. + +“I assume, Agent Mercer, you’re not having second thoughts?” It was Taylor Cruz’s voice, laced with an edge that demanded attention. + +Alex flickered a strained smile, still thumbing his folder's corner. "Of course not, Agent Cruz. Just trying to soak in all the details." The compliance in his tone was unsettling, even to himself. + +Jordan Hayes, perched on the opposite side of the table, narrowed their eyes but offered a supportive nod. "Details are imperative. We’ll need your clear-headedness down there, Mercer." + +A comfortable silence, the kind that threaded between veterans of shared secrets, lingered briefly before Sam Rivera, never one to submit to quiet, added, "I’ve combed through the last transmission logs. If anyone can make sense of the anomalies, it’s going to be the two of you." + +Taylor snorted dismissively. “Focus, people. We have protocols for a reason. Speculation is counter-productive.” The words 'counter-productive' seemed to hang in the air, a tacit reprimand directed at Alex. + +Feeling the weight of his compliance conflicting with his natural inclination to leave no stone unturned, Alex straightened in his seat. "I agree, Agent Cruz. Protocol is paramount," he said, meeting Taylor's steely gaze. It was an affirmation, but beneath it lay layers of unspoken complexities that would undoubtedly unwind with time. + +Alex's submission, though seemingly complete, didn't escape Jordan, who tilted their head ever so slightly, their eyes revealing a spark of understanding. They knew well enough the struggle of aligning personal convictions with overarching missions. As everyone began to collect their binders and prepare for departure, a quiet resolve took form within Alex, galvanized by the groundwork laid by their interactions. He may have spoken in compliance, but his determination had merely taken a subtler form — one that wouldn't surrender so easily to the forthcoming shadows. + +\* + +Dr. Jordan Hayes shuffled a stack of papers, their eyes revealing a tinge of skepticism at Taylor Cruz's authoritarian performance. _Protocols_, Jordan thought, _are just the framework, the true challenges we're about to face lie well beyond the boundaries of any protocol._ They cleared their throat before speaking, tone cautious yet firm, "Let's remember, the unknown variables exceed the known. We should remain adaptive." + +A murmur of agreement echoed from Sam Rivera, who leaned forward, lacing their fingers together as if weaving a digital framework in the air before them, "Exactly, adaptability could be the key to interpreting the signal distortions and system malfunctions. We shouldn't discount the… erratic." + +Their words hung like an electric charge in the room, challenging Taylor's position with an inherent truth. Cruz’s jaw tightened almost imperceptibly, but the agent masked it with a small nod, conceding to the omnipresent threat of the unpredictable. + +Alex glanced at Jordan, who never looked back, their gaze fixed instead on a distant point, as if envisioning the immense dark corridors they were soon to navigate in Dulce. Jordan was not one to embrace fantastical theories, but the air of cautious calculation betrayed a mind bracing for confrontation with the inexplicable, an internal battle between the evidence of their research and the calculating skepticism that kept them alive in their field. + +The meeting adjourned with no further comments, the team members quietly retreading the paths to their personal preparations. Alex, trailing slightly behind, observed the others. _The cautious reserve Jordan wears like armor doesn't fool me_, he thought, _their analytical mind sees the patterns I do. And that's worth more than protocol. That's the connection we need to survive this._ + +As the agents dispersed into the labyrinth of the facility, lost in their thoughts and preparations, the base's halogen lights flickered, a brief and unnoticed harbingers of the darkness to come. + +\* + +A deserted corridor inside the facility stretched before Taylor Cruz, each footstep rhythmic and precise. Cruz, ambitious and meticulous, eyed the troops passing by with a sardonic tilt of the lips. Obedience—it was as much a tool as any weapon in the arsenal, and Cruz wielded it masterfully. To them, it was another step toward unfettered power within the dark bowels of the military complex. + +Inside a secluded equipment bay, Cruz began checking over gear with mechanical efficiency. They traced fingers over the sleek surface of an encrypted radio transmitter. "If protocols are maintained," said Cruz aloud, rehearsing the speech for their subordinates, "not only will we re-establish a line of communication with Dulce, but we shall also illuminate the darkest secrets it conceals." + +Agent Hayes appeared in the doorway, arms crossed and a knowing glint in their eyes. "You do understand," Jordan began, the words measured and probing, "that once we're in the depths, rank gives way to survival instincts. It's not about commands—it's empowerment through trust." + +The sentiment snagged on Cruz's armor of confidence, probing at the insecurities festering beneath. Taylor offered a brief nod, perhaps too curt, but enough to acknowledge Jordan's point without yielding ground. "Trust," Cruz mused, "or the illusion thereof, is just as potent." + +Silence claimed the space between them, steeped in the reality of the unknown dangers lurking in the shadows of the mission. Cruz diligently returned to the equipment, the act a clear dismissal. + +Not much later, Cruz stood alone, the hollow echo of the bay a stark reminder of the isolation that power often wrought. With each checked box, their resolve steeled further, a silent vow to usher their team through the abyss—whatever it might hold—and emerge enshrined in the respect they so deeply craved. + +## Chapter 2 + +Sam Rivera sat alone in a cramped office, the hum of a dozen servers murmuring a digital lullaby in the background. Surrounded by the glow of multiple screens, their eyes danced across lines of code and intercepted comm signals from Dulce — a kaleidoscope of data that their curious and isolated mind hungered to decrypt. + +To an outsider, it might have looked like obsession, this fervent quest for answers. But to Sam, it was a dance — a give and take with the mysteries of the universe. Their fingers paused over the keyboard as they leaned back in the chair, whispering to thin air, "What secrets are you hiding from us?" + +The stillness of the room broke with the unexpected arrival of Alex Mercer, whose encroaching shadow loomed over Sam's workspace. The cybersecurity expert craned their neck upwards, met by the ever-so-slight furrow in Alex's brow. "Got a minute, Rivera?" + +"Always," Sam said, a smile surfacing as they swiveled to face their mentor more directly. _He has that look — like something's not sitting right with him,_ they noted inwardly. + +Alex hesitated, weighing his words carefully. "Our tech is top-tier, but the silence from Dulce... It's not just technology that will see us through, it's intuition and... trust." His gaze pierced through the digital haze, trying to instill something more profound than advice. + +Sam regarded Alex for a moment, the sincerity in his voice resonating with their own unspoken desire to prove their worth. "Intuition," they mirrored thoughtfully. "I guess sometimes the numbers don't have all the answers." + +Their shared silence held a newfound understanding, a recognition that between the ones and zeros, it was their combined human insights that might prevail against the impossible. As Alex turned to leave, Sam's eyes drifted back to the screens, now seeing them not as barriers to isolate behind, but as windows into the vast and enigmatic challenge that awaited their team. + +Outside the office, the persistent buzz of activity in the facility belied the unease that gripped its inhabitants. A restlessness that nibbled on the edges of reality, as though forewarning of the threshold they were soon to cross — from the known into the realm of cosmic secrets and silent threats. + +\* + +Shadows played against the walls of the cramped underground meeting room, where Alex Mercer stood gazing at the concealed elevator that would deliver them into the bowels of Dulce base. The air was thick, every breath laced with the weight of impending confrontation, the kind one feels when stepping into a legend. Though armed with an array of advanced weaponry and gear, there was an unshakeable sense that they were delving into a conflict where the physical might be of little consequence. + +"I know what you're thinking," Jordan Hayes remarked, approaching Mercer. Their voice was low, a blend of confidence and hidden apprehension. "This feels like more than a rescue or reconnaissance mission, doesn't it?" + +Alex turned, his features a mask of uneasy resolve. "It's like we're being pulled into someone else’s game. Not just observers or participants, but... pawns." + +Jordan gave a short nod, their analytical mind colliding with the uncertain dynamics of this operation. "I've felt that way since the briefing. Like there's a layer we’re not seeing. And yet, we have no choice but to play along." Their eyes locked with Alex's, silently exchanging a vow to remain vigilant. + +"You two need to cut the philosophical chatter. We have positions to secure," Taylor Cruz interjected sharply, stepping into their exchange. The authority in Taylor's voice brooked no argument; it was their way of pulling everyone back to the now. + +Alex's response was measured, more assertive than moments ago. "Acknowledged, Agent Cruz," he replied, his voice steadier, mirroring the transformation brewing within. He gripped his rifle with a newfound firmness. "Let's proceed." + +As they congregated at the elevator, a tension palpable, Sam Rivera piped in with a tone of balanced levity, "Hope everyone’s brought their good luck charms. Something tells me we’re going to need all the help we can get." + +Their laughter served as a brief respite from the gravity of their mission, a shared moment that reinforced their common humanity amidst the unknowable. Then, as one, they stepped into the elevator. The doors closed with a silent hiss, and they descended into the darkness together, aware that when they returned, if they returned, none of them would be the same. + +\* + +The sense of foreboding hung heavier than the darkness that the artificial lights of the elevator shaft failed to fully penetrate. The team was descending into the earth, carrying with them not only the weight of their equipment but also the silent pressure of the invisible war they were about to fight—a war that seemed to edge away from physicality and into the unnervingly psychological. + +As they descended, Dr. Jordan Hayes couldn't help but muse over the layers of data that could wait below, now almost longing for the comfort of empirical evidence. _To think that this reluctance to accept other possibilities may have been my biggest blind spot,_ Jordan contemplated, feeling the hard shell of skepticism begin to crack. + +Alex caught Jordan's reflective gaze and leaned in, his voice barely a murmur over the hum of the elevator. "Once we're down there, keep that analytical edge sharp. You see through the mazes of the unexplained better than anyone." + +The compliment was unexpected and weighed differently than praise from others. This was an acknowledgment from someone who stood on the front lines of the unknown with eyes wide open. "Thank you, Alex," Jordan said, the words carrying a trace of newfound assertiveness. "You can count on me." + +The exchange was cut short by a shudder that ran through the elevator, subtle, but enough to make them instinctively hold their breaths. It wasn't the mechanical stutter of old gears but a vibration that seemed to emanate from the very walls of the shaft—a whisper of something that defied natural explanation. + +Cruz was the first to react, all business despite the shadow that crossed their expression. "Systems check. Now," they barked out, masking the moment of disquiet with swift command. + +Every agent checked their gear, sending confirmation signals through their comms, creating a chorus of electronic beeps that promised readiness. But there was an unspoken question among them: was their technology, their weaponry, their protocols sufficient for what awaited them or merely a fragile comfort? + +Against the gravity of the silence that was once again closing in, Sam's voice crackled through, only half-jest. "I'd laugh if we run into Martians playing poker down there—just to lighten the mood, you know?" + +Despite—or perhaps because of—the oddity of the moment, this elicited a round of chuckles, an audible release of tension that ran counterpoint to the undercurrent of anxiety coursing through the team. + +As the elevator came to a halting, eerie calm at the sub-level, the group stepped off, finding themselves at the threshold of Dulce's mysterious halls. They stood in a tight pack, sharing a cautious glance before fanning out into the unknown, each one acutely aware that the truth was inevitably intertwined with danger. + +Into the depths of Dulce, the team advanced, their silence now a shared testament to the camaraderie born of facing the abyss together—and the steel resolve to uncover whatever horrors lay hidden in its shadows. + +\* + +The weight of the thick metal door closing behind them reverberated through the concrete hallway, marking the final threshold between the familiar world above and the strangeness that lay beneath. Dulce base, a name that had been whispered in the wind-blown deserts above and in the shadowed corners of conspiracy forums, now a tangible cold reality that they could touch — and that touched them back with a chill. + +Like lambs led to an altar of alien deities, so did Agents Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera proceed, their movements measured, their senses heightened. The air was still, almost respectful of the gravity of their presence. Their torch beams sliced through the darkness, uncovering steel doors with warnings that spoke of top secrets and mortal dangers. + +Taylor Cruz, stepping firmly into the role of de facto leader, set a brisk pace. "Eyes sharp, people. Comms check, every thirty seconds," Taylor ordered, their voice echoing slightly before being swallowed by the surrounding silence. + +Sam, fiddling with a handheld device aimed at detecting electronic anomalies, offered a murmured "Copy that," their usual buoyancy dimmed by the oppressive atmosphere. + +It was Jordan Hayes who paused at an innocuous looking panel, nondescript amongst the gauntlet of secured doorways. "Mercer, Rivera, come see this," Jordan’s voice was marked with a rare hint of urgency. + +Alex joined Jordan's side, examining the panel which, at a mere glance, seemed just another part of the base's infrastructure. Yet, to the trained eye, it appeared out of place—a facade. + +Jordan explained their reasoning as Sam approached, instinctively understanding the significance of what lay beneath, "This panel is a recent addition — covering something they didn't want found." + +Before Alex could respond, the soft whir of an approaching drone cut through their muffled exchange. Taylor had looped back upon hearing the commotion. "Explanations later. We can't afford to attract..." Cruz’s voice trailed off as the small airborne device came into view, its sensors locked onto the group. + +Sam was the first to react, their tech-savvy mind already steps ahead. "I've got this," they declared, fingers flying over the controls of their own gadgetry to ward off the impending threat. + +The drone lingered, its scan seeming more curious than hostile. But within moments, courtesy of Sam's interference, the little sentinel drifted away, retreating into the shadows as if accepting a silent truce. The crew exhaled, a moment of collective relief palpable in the air. + +Cruz squared their shoulders, clearly ruffled but not conceding any ground. "Move out," they directed, a hint more forceful than before. "And Rivera, keep that trick handy." + +The team pressed onward, the quiet now filled with the soft beeps of regular comms checks, their pace undeterred by the confrontation. Yet, every agent held a renewed sense of wariness, their trust in one another deepening with the knowledge that the base—its technology, its secrets—was alive in a way they hadn't fully anticipated. + +As they converged upon a central hub, the imposing doors to the mainframe room stood ajar — an invitation or a trap, neither option comforting. Without a word, they fortified their resolve and stepped through the threshold, where the dim glow of operational LED lights and the distant hum of machinery hinted at Dulce’s still-beating heart. + +Solemnly, yet unmistakably together, they moved deeper into the heart of the enigma, ready to unmask the lifeforce of Dulce base or confront whatever existential threat lay in wait. It was in that unwavering march towards the unknown that their destinies were forever cemented to the legacy of Operation: Dulce. + +## Chapter 3 + +The thrumming of monitors cast a stark contrast to the rigid silence enveloping the group. Agent Alex Mercer, unfailingly determined on paper, seemed dwarfed by the enormity of the sterile briefing room where Paranormal Military Squad's elite convened. With dulled eyes, he scanned the projectors outlining their impending odyssey into Operation: Dulce. + +\* + +The cooling vents hummed in a monotonous drone, but it was the crackle of the comms system coming to life that cut through the lab’s tension. Dr. Jordan Hayes hovered over a table arrayed with alien technology, their fingers delicately probing the enigmatic circuitry retrieved from the crash site. Agent Alex Mercer watched, admiration blooming in silent solidarity for Jordan's deft touch and unspoken drive. + +Jordan, always composed, only allowed the faintest furrow of concentration to mar their brow. "What we understand about physics..." they muttered, trailing off as they realigned a translucent component. The device emitted a low pulse, causing Jordan to still. "Could be fundamentally changed by this." + +A calculated risk—that's what this was. And for a person of science, a gamble was worth the potential paradigm shift. + +"I’ve been thinking," Alex started, his eyes still fixed on the immediately tangible mystery before them. "About what’s at stake here. Not the mission parameters, but what this means for us—humanity." + +Jordan glanced up, meeting his eyes just long enough to convey the shared enormity of their situation; the career-defining glory and existential dread entwined. "The quest for understanding always comes at a price. We're standing on the precipice of knowledge that could either elevate us or condemn us." + +The charged air between them spiked as Taylor Cruz’s brusque tones sliced through their reverie. "Hayes, Mercer, this isn't philosophy hour. Focus on the task. We need actionable intel, not daydreams." + +With a sound of restrained acknowledgment, Jordan returned their gaze to the device, while Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order. + +Then Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.” + +The underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce. + +It was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths and for different reasons. Yet, beneath the veneer of duty, the enticement of the vast unknown pulled them inexorably together, coalescing their distinct desires into a shared pulse of anticipation. + +Marshaled back to the moment by the blink of lights and whir of machinery, they refocused their efforts, each movement sharpened by the knowledge that beyond understanding the unearthly artifacts, they might be piecing together the future of their species. + +\* + +Amidst the sterility of the briefing room, the liminal space between the facts laid out and the hidden truths, sat Sam Rivera, his demeanor an artful balance of focus and a casual disguise of his razor-sharp talent with technology. Across from him, Alex Mercer lingered in thought, the mental cogs turning as each file on Dulce stirred more than curiosity—it beckoned to a past both honored and burdensome. + +"You've been quiet, Sam," Alex noted, catching the younger man's contemplative gaze. "Your take on these signal inconsistencies?" + +There was a respect in Alex's tone, though a respectful distance remained—a gulf of experience and a hint of protective mentorship that stood between them. Sam nodded, recognizing the space afforded to him, and he couldn't help but feel the weight of expectation pressing upon his shoulders. It wasn't just the mission that was immense, it was the trust being placed in him. + +"The patterns are... off," Sam admitted, hesitant but driven. "If I'm right, what we're looking at isn't random—it's a structured anomaly. We need to be ready for anything." + +Alex's eyes brightened with a subtle approval that crossed the distance like a silent nod. "Good. Keen eyes will keep us ahead—or at least not blindsided," he said, affirming the belief that inscribed Sam's role as more than the tech personnel—he was to be a guiding intellect in the heart of uncertainty. + +Their exchange was cut short by Taylor Cruz's abrupt arrival, his gait brimming with a robust confidence that veiled the sharp undercurrents of his striving nature. "Time to gear up. Dulce waits for no one," Taylor announced, his voice carrying an iron resolve that knew the costs of hesitation—though whether the cost was calculated in human or career terms was an ambiguity he wore like a badge of honor. + +As Sam and Alex nodded in unison, the icy chasm of hierarchy and cryptic protocols seemed momentarily to bridge over with an understanding—this mission was convergence, a nexus point that would challenge each of their motives and strength. + +They filed out of the briefing room, their footsteps synchronized, a rhythm that spoke volumes of the unknown cadence they would soon march to within the base's veins. For Alex Mercer, the link with Sam Rivera, though distant, was now poised with a mutuality ready to be tested; for Taylor Cruz, the initiative pulsed like a heartbeat, anticipation thinly veiled behind a mask of duty. + +In the midst of the descent, they were each alone yet irrevocably joined, stepping closer towards the volatile embrace of Operation: Dulce. + +## Chapter 4 + +The corridors of the Dulce military base were as silent as a tomb and twice as chilling. Alex Mercer walked with a surety that belied his bubbling undercurrents of doubt. The briefing had been definitive, sturdy pillars of facts and protocols, yet as he ventured deeper, the ominous atmosphere gnawed at him—a stark reminder of how much remained unknown. + +Jordan Hayes trailed a few steps behind, their detached exterior breaking for a moment as they caught up to Alex. "What's on your mind?" Jordan asked, their astuteness cutting through the unspoken tension. + +Alex glanced back at them. This place was a puzzle, a treacherous labyrinth where the walls whispered secrets, and among them, he sensed a call to question, to challenge the narrative they'd been sold. "The silence here... It's almost as if the base is waiting for something—or someone." + +"Just stay sharp, Mercer," Jordan cautioned, yet their eyes lingered on the quietude around them, conceiving the same shadow of doubt that unsettled Alex. + +Before they could delve into further discussion, the distinctive click of a safety catch echoed in the hollow space. Both agents turned to find Taylor Cruz standing resolute, primed for combat. Taylor's gaze was scrutinizing and cold, a stark contrast to the growing unease that smoldered silently amongst the rest. + +"Chatter is a liability," Taylor snapped, with a commanding flair that bordered on tyrannical. "We move forward, eyes open, mouths shut." + +Alex felt the tight grip of compliance strangle his gut, a lesson learned under the hard tutelage of rank and order. But here, in the bowels of Dulce, those instincts began to wane, the imperative to adhere now conflicting with the pressing urgency to confront the shadows they were enmeshed in. + +Then, unexpectedly, the lights flickered, a power fluctuation—or a sign? Alex's hand instinctively went to his sidearm, his mindset shifting from soldier to skeptic. The base, with its unyielding coldness, had just given them their first nudge into the realm of the speculative, an invitation to peel back the veneer of reality. + +"We should consider all possibilities," Alex murmured, more to himself than the others, his voice a barely audible breath against the sterile air of the complex. + +Taylor's posture stiffened at the challenge, yet their response was uncharacteristically reserved, notable in its lack of rebuke. "Agreed. For now, keep moving. But stay vigilant." + +A surprise—an echo of agreement from the last person Alex expected it from. And there it was, the glimpse of a wrinkle in the unyielding fabric of command, a hint that perhaps they were all starting to sense the strangeness that permeated this place. + +Progressing with determined steps, the trio moved deeper, silently acknowledging the evolution of their predicament. It was a small yet transformative concession to the unknown forces at play, an acknowledgment from each agent that, despite their disparate goals and ideals, the true nature of the Dulce base was an enigma that would forge new paths through their convictions. + +As they reached the central communications hub, the truth that awaited them lurked in the shadows, its eyes unseen but felt by all. The walls didn't just whisper now; they spoke in tones only the brave—or the foolish—would dare to listen to. + +\* + +The subterranean silence of Dulce was an oppressive entity of its own, wrapping the team in a cloak of uneasiness as they pressed on through the dimly lit corridor. Jordan Hayes found themselves contemplating the ramifications of each step taken into this suspended world, where the sterile air seemed to mock the gravity of their predicament. The closer they got to the communication hub, the more Jordan's mind wandered toward the realm of the inexplicable. + +Beside Jordan, Alex Mercer moved forward with deliberation, his gaze scanning the heavy utility doors they passed—one of which was partially ajar, beckoning them with its darkness. "After you, Dr. Hayes," Alex said, gesturing toward the mysterious opening. A hint of shared understanding passed between them; knowledge was the guiding star of this mission as much as confrontation or recovery. + +Jordan peered inside, the beam from their flashlight slicing through the obscurity. The room beyond was a chaotic cascade of papers, overturned furniture, and the particular kind of disorder born from hasty evacuation—or something far more sinister. + +"It's like they vanished in the middle of something urgent," Alex murmured, his voice tight with a mix of concern and anticipation. He began to sift through the scattered reports, each page a potential clue to the enigmatic silence that shrouded Dulce. + +Behind them, Taylor watched with a disciplined patience, their authority the foundation upon which the operation was built. Their voice cut into the stillness, a reminder of their presence, "Time is not our ally here." + +Drawing back from momentary distraction, Jordan acknowledged the wisdom in Taylor's words, yet could feel the shift in their stance—from skeptical, reserved analyst, to a proactive agent within the narrative. "You're right; these documents may hold critical insights. Let's collect what we can and analyze them properly." + +From the darkened hollows of the room, shadows seemed to cast subtle judgment as Alex and Jordan worked together with heightened urgency. Taylor, for once, didn't intervene but instead surveyed the entrance, their mind anticipating the unknown variables that lay ahead. + +Unexpectedly, a soft hiss emanated from a neglected terminal on the desk. Jordan's head snapped up, their heart rate accelerating at the potential ramifications. Without a word, they moved to the machine, hands driven by the newfound conviction that knowledge was more than power—it was survival. + +As Jordan began to extract what data they could from the terminal, the first comprehensible communication from the depths of Dulce in far too long crackled through: an automated distress marker, looping endlessly without further context. It was a revelation, one that reverberated through the group, confirming their fears and igniting an even greater need to press on. + +Watching Jordan's dogged determination, Alex witnessed the minor transformation in his colleague unfold—a shift from doubt to action, a sliver of belief in the possibilities beyond their rational understanding. This forge of resolve amidst the alien echoes of Dulce not only bonded them closer as a team but compelled them forward with a sharpened edge of responsibility to the truth, wherever it would lead. + +As they collected their findings and regrouped, the base around them imperceptibly changed, the air charged with the vibration of secrets poised on the brink of revelation. And in that charged silence, the group moved on, each now carrying pieces of a puzzle that would soon converge into a picture of galactic significance. + +\* + +In the chill of the cramped server room, the hum of machinery was the backbone to a symphony of data streams coursing through the air. Dr. Jordan Hayes, nerves alight with the mission's mounting unknowns, patched into the last known coordinates of the unsent distress broadcast they had uncovered. They were so close to the core now – to the truth behind the blackout – it was almost tangible. + +Beside them stood Agent Alex Mercer, ever the soldier, yet with eyes that betrayed an intellect craving to understand the murk beneath the surface. "Any progress, Dr. Hayes?" Alex queried, his voice betraying a subtle urgency. + +"Getting there," Jordan replied, fingers dancing across the keyboard. "Whoever sent this was cut off mid-transmission. It's as if Dulce itself swallowed the message whole." + +Taylor Cruz closed in, their frame casting a long shadow over the duo, evoking an almost palpable wall between them and the forward momentum of their mission. "Time is against us," Taylor intoned, more statement than threat. "What we uncover here determines our next course of action." + +Alex acknowledged Taylor with a brisk nod, his stance firm. Yet inwardly, the tightening grip he felt from Taylor's words couldn't throttle the swell of his own investigative instinct. His soldier's obedience had begun to war with the advocate's zeal for unveiling the dark heart of Dulce's secrets. + +And then, the unexpected occurred. The screens flashed in unison, spilling a discordant stream of symbols and images that defied immediate analysis. Jordan's breath caught – this was the response they had been fishing for, an alien communication protocol resonating just at the edge of human comprehension. + +Each member of the team felt it: a shift in the room’s very atmosphere, like a veil being drawn from their perception. Alex and Jordan stood still, absorbed in the bewilderment of contact, while Taylor, despite their authority, hesitated – a minor betrayal that unease was creeping into even their disciplined heart. + +"Thoughts, Rivera?" Taylor rallied, seeking the counsel of Sam Rivera, whose eyes were wide with exhilaration. + +Sam stepped forward, breaking the spell of stillness. "It's like nothing I've ever seen before, but I think I can bridge our systems to communicate," they declared, a wisp of optimism braiding their voice. They set about adapting their gear to transmute the foreign signals into something the team could dissect, their actions a testament to the mentorship and belief instilled in them by Mercer and the team. + +Taylor observed them, a cold calculation behind their facade, as they weighed the worth of this anomaly. It was a crossroad that potentially led to either monumental breakthrough or unprecedented catastrophe. "Once you've established a line, document everything. We can't afford to miss any detail," Taylor ordered, the words sharper than intended. + +The connection was made, and with trembling anticipation, the team listened as the first garbled outputs began to emerge, their very essence promising insights that could alter the course of history. It was an enigmatic dance with the unknown, the pulse of Dulce no longer just a place, but a herald to an alien register the team had yet to decipher. + +Together, they stood at the precipice of understanding, where the faint glow of their monitors cast more than just light – it cast the shadow of burgeoning transformation. It was in this moment, in the grasp of an extraterrestrial tongue, that the team, bound by a hunger for knowledge and the raw edge of survival, found their mission reframed from a search for answers to the articulation of a question humankind had yet to fully ask. + +Silent in their commune with the inexplicable frequency, they realized they were not merely investigators; they had become liaisons on behalf of Earth, interpreters of a cosmic message that could redefine their very existence. The implications loomed large, but now, they would not face them alone – they would face them as a united front, wrought together by the very mysteries that once drove them apart. + +## Chapter 5 + +Dr. Jordan Hayes clutched the edge of the briefing room table, their fingers white-knuckled against the laminate surface, as an array of constellations rotated on the projector—charts and graphs bleeding across the stars. In the dim room, nebulas and dark matter seemed within arm's reach, tangible yet unfathomable. + +Sam Rivera leaned back against the wall, arms crossed, gaze darting between the swirling cosmos and the faces of their companions. A taut line of concentration etched their young features, a mingling of fervent curiosity with the nascent understanding of the high stakes for which they played. + +Jordan's voice broke the profound silence. "The patterns in the signal disruptions sync with none other than zenithal star alignments. It's as if... as if these 'meet and greets' were scheduled, predestined by celestial mechanics." + +The statement hung heavy, daring the occupants of the room to unravel its implications. Alex Mercer, his prior military resolve momentarily suspended, absorbed the hypothesis with a visible hunger. "It's like we're adhering to an appointment we never knew we had," he murmured, his heart a drumbeat in his chest. + +Taylor Cruz snorted—a sound that clattered against the high concepts like a tumbledown shack in a futurist cityscape. Folding their arms, they glanced between the agents, their apprehension clad in the contempt of practicality. "What we need are facts, not mystic conjecture." + +Alex pivoted on his heel, facing Taylor squarely, and his voice found its edge of steel. "This isn't mysticism, Cruz. It's a hypothesis based on observed phenomena as unpredictable as the place we're standing in." + +Taylor's gaze never wavered, yet the slight twitch at the corner of their mouth belied their taut composure. "If there's a semblance of truth to it, then it's critical intel. But remember, we're not astrologers—we're soldiers and scientists." + +Jordan met Taylor’s gaze with a curt nod, accepting the caution even as the crucible of their intellect smoldered with the fervor of cosmic discovery. Their eyes flicked to Sam, whose steady presence and ready tech affirmed a burgeoning dynamic—the makings of a sentinel, standing guard over the threshold of human understanding and cosmic reality. + +With the projector casting pallid light over their features, each agent became a silhouette of purpose, shadows pillared against the backdrop of an endless universe. The story they were embroiled in would soon demand they plunge into darkness to retrieve the light of knowledge—a light that could very well redraw the shape of their world. + +They left the briefing room with a shared silence, each pondering the vast weave of celestial intent and terrestrial response, sensing that the galactic appointment to which they'd unwittingly RSVP’d was more insistent—and more threatening—than any operation they’d faced before. + +\* + +As the Paranormal Military Squad team convened in the heart of the Dulce military complex, an air of bristling expectation clung to the walls of the underground sanctum. Alex Mercer’s brow furrowed while watching his companions—Jordan Hayes, diligently setting up their makeshift lab station, and Sam Rivera meticulously checking the communication relays they had restored. Taylor Cruz observed with hawk-like focus, yet to betray the strain that their command posed on them. + +The gravity of the mission had shifted, deepened; each member of the team felt its pull, tethered to the understanding that they were now part of a larger narrative—a cosmic play with Earth as a stage and the human race unwitting actors. + +Jordan paused, a tension creeping across their shoulders as they aligned the satellite data with the alien message that had been decoded. "The instructions in this message," Jordan started, the timbre of their voice betraying their usual composure. "They're coordinates and... a warning." + +Sam leaned in, their eyes widening behind the glow of their laptop screen. "A warning? Like, ‘stay away from’, or ‘beware of’...?" Their words trailed off, uncertainty a new companion in their lexicon. + +Alex exhaled slowly, his mind racing to connect the dots. "It doesn't matter which," he said, decisive yet contemplative. "What matters is we understand intent. Are we being warned out of concern, or are we stumbling upon a threat?" + +Cruz’s iron-clad facade momentarily cracked, a fleeting glimpse of vulnerability flashing through their eyes. "We need to know if this entails additional risk to the operation," they said, directing their gaze specifically at Alex. "Mercer, I rely on you to keep the team grounded. No one goes off-course." + +Their reminder seemed both a command and a plea—rooted in an understanding that each member of the team now faced the duality of their roles, protectors of earthly secrets and heralds of potentially devastating revelations. + +Sam's fingers stilled mid-type, their task forgotten as they absorbed the weight of the unfolding reality. "We're the first line of defense... or detection," they mused half to themselves, a growing sense of agency within the larger play they were cast into. + +Jordan returned to the data, more resolute in their actions. The warning, whether cautionary or dire, was a beacon they no longer could ignore; its light casting aside shadows of doubt and igniting a collective purpose within the team. + +Alex watched Jordan and Sam, feeling a brotherhood in their shared quest. As Cruz paced, poised on the cusp of decisions that would mark their career and perhaps the fate of many, Alex knew the narrative had changed. They were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve. + +Tension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril. + +Their connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer’s latter instincts gained precedence— the team’s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly hierarchies but by the pulsing symphony of the universe itself. + +\* + +The desert night loomed eerily still as echoes of hidden activity reverberated deep beneath the bleak sands of New Mexico. Diverting his gaze from the array of sensors before him, Jordan Hayes allowed a rare breath, deep and anxious. Turning to Alex Mercer's focused silhouette, the nocturnal landscape illuminated softly by makeshift floodlights, Jordan felt the syncopated tempo of apprehension and exhilaration jockey for primacy within. + +"The closer we get to unlocking these messages, the more I feel like we're peeling back layers of reality itself," Jordan confided, eyes not leaving the monitors that presented a constellation of data points. + +"Yes," Alex replied, his voice steady as he considered the implications of their discovery. "And we have to be ready for whatever we find beneath those layers. Whether it's a breakthrough or a Pandora's Box." + +Silence settled between them, broken only by the occasional buzz of communications equipment attempting to bridge terrestrial and extraterrestrial intelligences. Tense moments drifted by, laden with the expectant weight of near breakthrough, when a soft chime signaled an incoming transmission -- a rare sound that set every agent on high alert. + +Absent was the voice of Washington or Paranormal Military Squad command. Instead, a rhythmic series of pulses and tones filled the air, deliberately patterned, unmistakably non-human. + +Sam Rivera adjusted the sensitivity of the decoding equipment, their hands shaking with anticipation as much as focus. "I have it!" they announced, the signal transforming under their expertise into a sequence of visual symbols on the screen before them. + +Their shared excitement was palpable, a kinetic force resonating between the team members as they crowded around the display. + +"What does it say?" Taylor Cruz demanded, the urgency in his tone scraping against the newfound wonderment. + +Interpreting the alien syntax required not only decoding but intuition and empathy. The words that emerged upon the screen were at once coherent and enigmatic: "*Voyage. Convergence. Peril.*" + +The stark simplicity of the message struck them collectively, a chill breeze wafting through their resolve. + +Alex stepped forward, piecing together the cryptic communication with a growing sense of obligation. "It’s a call to action," he deduced, "or possibly a summons." + +Jordan's gaze met Alex’s, both understanding that this was no longer an investigation or mere extraction of hidden truths. This was humanity's unwitting enlistment into a galactic dialogue that defied boundaries of nation, creed, or protocol. + +Sam's eyes were aglow, not with fear, but with the profound acceptance of inevitability that comes with groundbreaking revelation. Moreover, within Taylor's stern exterior churned the seed of reluctant admiration for the unclassified, the uncharted realms they were approaching. + +Together, they accepted the pivot in their mission, readjusting their objectives from exploration to engagement, and from isolation to a communal outreach beyond the stars. As dawn's first light threatened the horizon, it became clear that they were no longer merely operatives of a clandestine governmental faction—they were delegates on behalf of Earth, embarking on a voyage orchestrated by destinies unrelated to the mere geopolitics of their world. + +Turning to each other, their silhouettes sketched against the coming dawn, the agents recognized the transformation within and amongst them. They were bound by more than duty—they were intricately woven into the fabric of an unfolding cosmic opera, one in which they had been granted an undeniable role. And as they set course for the coordinates that beckoned them like a distant siren's call, it was with a solemn dedication to not only uncover the mysteries ahead but to navigate the convergence, and the peril, as unified emissaries of a world on the cusp of a broader understanding. + +\* + +Beneath the hum of the fluorescent lights and the vigilance of silent monitors, Alex Mercer stood with his team in the threshold of the base's command center, their faces etched with the fatigue of hours spent unraveling galactic mysteries. Jordan Hayes broke the stillness with a delicate fusion of disbelief and resolve. "The signal..." they began, their tone deliberate, "it’s evolving. It’s not just sending a message—it’s responding to us." + +Taylor Cruz leaned over the console, their eyes narrowing with intrigue and a flicker of unease, studying the alternating patterns on the screen. "Responding? Like it’s alive?" Taylor asked, a question that bordered on the edge of wonder and alarm. + +Sam Rivera’s gaze was locked onto their interface, a digital orchestra at their fingertips. "It could be some form of advanced AI. Or something else entirely," they contributed, a note of exhilaration betraying the gravity of the situation. + +Alex paced before the terminal, absorbing the enormity of their predicament. Their mission—once rooted in the solid ground of military discipline and covert operations—had transcended into an encounter of unprecedented import. "We need to be cautious," he advised, his voice a low rumble of cautious strategy. "If this signal is intelligent, how we interact with it could dictate the outcome of this entire operation." + +Jordan met Alex's gaze with a nod, the weight of the responsibility shared and accepted. "We have protocols for first contact, but nothing for... this," Jordan admitted. The room was gripped with tension, each breath seemingly louder than the last. + +Then, with a sudden burst that filled the command center, the signal coalesced into a clear and distinct pattern which replicated and expanded, its complexity revealing the hand—or mind—of an intelligent architect. + +Taylor's instinct for command surged forth. "Prepare to record and analyze. Whatever it is, we need to understand it—" But their words were cut short as the signal surged, enveloping the room in a brief, blinding cascade of light. + +In that pulse of brilliance, a shared revelation coursed through the team. The signal had become a bridge, an extension of unknown consciousness reaching towards them, testing, communicating, searching. + +Alex stepped back from the light, feeling a profound change unravelling within him. The path forward would not be one of confrontation or conquest, but of connection and comprehension. + +Jordan turned to Alex and Taylor, seeing in their faces a reflection of the same metamorphosis taking place within themselves—a movement from observers to participants, from agents to ambassadors. + +With a collective breath, the team faced the kaleidoscope of lights. The alien signal, once a harbinger of enigma, was now a catalyst for transformation—a symphony of light and sound that echoed the beginnings of a new relationship between humanity and the alien unknown. + +And so, with deliberate steps, Alex Mercer led his team into the luminous fray. Science, protocol, and survival instinct harmonized within them, each member poised on the cusp of a new chapter in human history. + +They were no longer merely the instruments of Paranormal Military Squad's will—they were the vanguard of humankind’s first definitive leap into the cosmic community. + +With the last echoes of the signal resonating in the control room, they each embraced the sequencing of the transmission, the dance of extraterrestrial light that now wrote itself into their story. The chapter of Operation: Dulce drew to a close, but the narrative of their destiny had only just begun. + +## Chapter 6 + +\* + +The cool darkness of the command center at Dulce base was a stark contrast to the brewing storm outside, where the unforgiving New Mexico desert winds whispered of the hidden truths that lay buried deep beneath its surface. Dr. Jordan Hayes sat, their eyes fixed on the readout, the frenetic dance of symbols and numbers reflecting off their determined face. They were on the cusp of an epiphany, teetering between the widely accepted laws of physics and the promise of a new cosmic paradigm. + +Alex Mercer watched from across the room, noting the subtle shifts in Jordan’s posture that belied a developing readiness to embrace the unbelievable. “Find something?” Alex’s question, asked with a blend of curiosity and solidarity, bridged the gap between a command and a genuine query among equals. + +Jordan's response was slow, measured against the magnitude of their analysis. “This isn’t random static. It’s a pattern - a repeated sequence phasing in and out but distinctly artificial.” Jordan turned away from the screen, locking eyes with Alex. “This could change everything.” + +Sam Rivera leaned in, their eyes alight with the fires of revelation and a quenchless thirst for understanding. “A pattern means intention. Could it be a message?” + +A figure emerged from the doorway, casting a long shadow into the room - Taylor Cruz. “Intentions can be friendly, or hostile. We shouldn’t forget that,” said Taylor, bringing a dose of their usual pragmatism into the heart of discovery. + +Alex acknowledged Taylor’s caution with a nod, understanding the need to keep their feet grounded even as their spirits soared toward the unknown. “Then let’s be the first to find out which it is." + +The team gathered around the monitors, the soft tapping of Jordan's keystrokes now punctuated by the occasional crackle of Sam's radio equipment. The sound was almost ritualistic, a prelude to humanity’s potential first, knowing foray into a larger universe. + +Jordan’s fingers paused, suspended in mid-air. The signal had evolved, becoming a beacon that somehow felt less alien and more familiar. It was as if the complexities of their message were unfolding into something more accessible, more terrestrial. + +A hushed excitement swept through the room. The transformation suggested an awareness on the part of the unknown senders; a finesse that spoke volumes about their capabilities and perhaps their intentions. + +With the growing realization that they were engaging with an intelligence far exceeding their previous understanding, the team prepared to reach back across the cosmic divide. Prepared or not, they were no longer bystanders in this galactic narrative. They were active correspondents in an exchange that transcended galaxies and welcomed them into an expansive, possibly fraught, interstellar conversation. + +\* + +Inside the cavernous central hub of Dulce military base, Dr. Jordan Hayes stood in near-darkness, surrounded by a nest of cables and monitors that buzzed with silent, cryptic life. Jordan's eyes narrowed to focus on the sequences that danced across the screen—patterns that could unravel the cosmic enigma surrounding them. + +Alex Mercer approached with his characteristic stride, a signal of reliability in the chaos. "Status report, Dr. Hayes?" he inquired, his voice low, almost blending into the soundscape of beeping consoles and swirling fans. + +"We're on the brink of unravelling the signal's origin," Jordan replied, the weight of implications heavy in their tone. "There's intelligence behind it, a thought process alien to our own." + +As if summoned by their analysis, Taylor Cruz approached with authority radiating from every pore. "Understand this, we need to know if it's friend or foe. Don't get wrapped up in the existential—our lives may depend on the answers you provide." + +Sam Rivera, their hands adroitly adjusting a device to fine-tune the signal, chimed in with optimism undercut by anxious anticipation. "We're deciphering the comm encryption. Soon, we'll have a channel open—not just listening in, but speaking back." + +Alex nodded his understanding, his strategic mind processing the tactical implications while grappling with the more profound humanistic impact. "When we do, we'll tread carefully, communicate with purpose," he reassured the team. + +The operation had evolved rapidly, from a stealthy incursion into a clandestine labyrinth to an exchange with an extraterrestrial intellect. Their earlier trepidation transformed into determined focus, as they prepared to extend humanity’s hand into the vast unknown. + +An alert on one of the monitor stations snapped the team into alarm. The signal had not simply been waiting—it had been calculating. Now, it reached its crescendo, demanding their attention with a provocative urgency. + +Jordan's fingers raced over the keyboard, their eyes simultaneously interpreting data and sharing directives. "It’s a linguistic lock, a test of comprehension. We crack this, we establish dialogue." + +Taylor's presence was a beacon of steely resolve. "Then let’s solve it. This is what we trained for—the unknown." + +Alex and Sam exchanged a look that telegraphed their shared determination—this was not only the mission they had trained for; it was the mission they had been destined for. + +Together, the Paranormal Military Squad team leaned into the challenge, their minds honing in on the complex patterns with a singular goal: to unlock the conversation with an intelligence that had already begun to shift the foundations of what they knew, or thought they knew, about the universe. + +In a symphony of clicks and murmurs, they worked, knowing they were about to make a giant leap not just for themselves or Paranormal Military Squad, but for all of humanity. As the final pieces fell into place, Dulce's militaristic silence was shattered by the sound of intergalactic contact—by the sound of history being made. + +## Chapter 7 + +In the enclosed space of Dulce’s command center, the air was thick with anticipation, each team member poised to tread the razor's edge between scientific breakthrough and galactic peril. Dr. Jordan Hayes focused intently on the screen, their fingers tapping a staccato rhythm against the keyboard as lines of alien code cascaded down the monitor. + +Alex Mercer's steely gaze surveyed the room, stopping on each member of his team. "Thoughts?" he asked, echoing the unspoken tension. His question, while directed at the group, lingered on Jordan—acknowledging their expertise and inviting collaboration rather than dictating orders. + +Jordan’s brow furrowed, an indicator of the mental gymnastics being performed. "It's unprecedented," they finally said, their voice a testament to the gravity of the moment. "Behavioral algorithms... if we're right, this code could reveal extraterrestrial thought patterns." + +Before anyone could react, Taylor Cruz interjected with the assertiveness of someone accustomed to commandeering the discourse. "Then let’s ensure we’re deciphering it correctly," Taylor stated, their tone suggesting they were still battling to maintain control over an increasingly alien situation. + +Sam Rivera hovered near the mainframe, youthful energy barely contained under the surface. "What if it’s more than just a message? What if they’re trying to extend consciousness across the stars?" + +The room fell into a contemplative silence, broken only by the hum of electronic equipment and the distant thud of secured doors locking in rhythm. The weight of responsibility rested on each agent's shoulders—a heaviness palpable in the air they shared. + +Alex stepped forward, reaching a subtle decision, one dictated by foresight and the humanity nestled at the core of their mission. "We approach with the aim to understand, not to confront," he said, softening his military bearing into a more diplomatic stance. + +Jordan nodded, appreciating the leadership that Alex displayed in the face of the unknown, and turned back to the cryptic data. Here, before them all, was a tangible piece of evidence—proof of an extraterrestrial sentience that had outreached the bounds of their expectations. + +Taylor took a breath, simultaneously exuding a sense of preparedness and venturing into the unknown alongside their peers. "Then let’s do what Paranormal Military Squad does best—investigate and adapt," Taylor added, finding comfort in the familiar even as they stood on the cusp of an unprecedented alchemy of science and mystery. + +The team leaned into their respective roles, driven by the urgency of the assignment and the pull of an insatiable curiosity. Sam offered a grin that belied the tension, a youthfulness that reminded them all of the profound excitement nested within the terror of the unknown. + +Quietly but resolutely, they turned back to their instruments, each of them a sentinel on the threshold of a new reality. The once implicit lines of command were now woven into a shared tapestry of hierarchy and camaraderie. As they danced with the unknown, they were beacons of sentient endeavor, casting the light of human consciousness into the vast darkness that called to them. + +\* + +\* + +Dulce Base's cavernous darkness was pierced by the sharp luminescence of monitors, casting an electric glow onto the faces of those who dared to unearth its secrets. Dr. Jordan Hayes stood motionless, eyes glazed in concentration, their mind a nexus where terrestrial science battled with celestial unknowns. + +Alex Mercer watched from a slight distance, the weight of command tangible upon his shoulders, though lightened by the shared burden now held amongst them. "We could be on the frontier of a new kind of diplomacy," he mused aloud, giving voice to the moment's gravity. + +At those words, Jordan's trance broke. "If that's the case, then these communications," Jordan motioned to the stream of data, "are our olive branch across the cosmos." + +Taylor Cruz, who paced with restless energy, halted and faced the team—his stoicism marred by the erratic dance of lights reflected in his eyes. "An olive branch, or an invitation to a battlefield?" he posed, ever the strategist, his words laced with a hint of cynicism. + +Sam Rivera, nestled amongst an array of equipment, licked their lips—a mixture of nerves and anticipation palpable. "We're mapping out something incredible here. Whether it's peace or war, we're the cartographers." + +Silence enveloped them like the expanse of space itself, each member contemplating the chasms they might bridge—or the abysses into which they might unwittingly descend. + +Alex's demeanor assumed a quiet resolve—the profound knowledge that this mission was as much about navigating uncharted philosophical territories as it was about ensuring survival. "Whichever it proves to be, we'll face it. Prepared, unified." + +A nod passed between Jordan and Alex, a silent exchange of mutual respect and shared mission. Sam, buoyed by the weighty encounters of the mind and machinery, entered keystrokes with a fervor that seemed to bring them ever closer to the alien mind. + +They stood there, the Paranormal Military Squad team, not just as guardians of homeworld secrets or as soldiers of clandestine wars, but as humankind's chosen few at the fulcrum of history—a history that was now unfolding to the rhythm of otherworldly codes. + +Each revelation, each parsed symbol, inched them toward the line between the earthly and otherworldly. And as they stood on this precipice of cosmic negotiations, it was clear the ensuing dialogue would not just shape the future of Paranormal Military Squad—it could very well redefine the parameters of human existence. + +\* + +The hum of advanced computational systems tingling with cryptic transmissions framed the ambiance of Dulce's mainframe chamber. Jordan Hayes, fingers hovering over a console dense with blinking lights, furrowed their brow as sequences of alien data streamed across the screen. + +Alex materialized behind them, his presence a stable beacon amidst the technological whirlwind. "Look for patterns, anomalies. Anything that might resemble a handshake protocol in their communications," he directed, his voice a low thrum, reverberating with cautious optimism. + +Jordan cast a glance over their shoulder, acknowledging Alex's contribution with the shared understanding of colleagues who had transcended mere professional acquaintance. "I’m isolating sequences that seem to recur with more intention than static. If these are their ‘handshakes,’ then we might just be making first contact," they remarked, their focus returning to the screen with renewed vigor. + +From the other end of the room, where shadows married the artificial light, Sam's voice crackled through the static of nearby speakers, "Don't forget the anomalies we detected earlier. Each one could be a word, a sentence, or even a concept untranslatable to our current understandings." + +Resolute, Taylor Cruz stood at Jordan's other side, a stoic figure wrestling with the implications of their mission. "Keep pursuing this line," Taylor instructed, an undercurrent of intensity carried forth in their otherwise composed demeanor. "And remember, this isn't just about making contact; it's about securing knowledge for humanity." + +Alex offered a nod that spoke volumes, conveying his understanding of the stakes at play. Here, in this chamber of possibility, the team's actions would determine if humanity stood at the brink of a new age of understanding or the onset of an unprecedented threat. + +Every second thrummed with significance as Jordan and Sam worked in tandem, each keystroke a foray into the unknown. Taylor observed with a commander's scrutiny, the gravity of their role sustaining them against the waves of ambiguity breaking against their resolve. + +Pivotal moments come rarely in the course of human events but here, amidst the electronic symphony of a stalwart command center, lay the incepting notes of a cosmic overture. The harmony between human and alien, between Paranormal Military Squad and the vast reaches of space, began its first tentative measures, with each member of the team a vital instrument in a celestial ensemble yet to be fully heard. + +\* + +The crisp air within the mainframe room of Dulce base seemed to hum with unspoken possibilities. Jordan Hayes was the centerpiece of focus, their hands dancing methodically over the console as streams of otherworldly code cascaded down monitors, each flicker a potential key to the cosmic doors they were inching open. + +Alex Mercer watched, posture relaxed but eyes sharp. "Remember, this could be our first introduction, maybe even our first impression," he said, mindful of the gravity carried by each action they made henceforth. + +A hint of a smile touched Jordan's face, a small acknowledgment of the monumental task at hand. "Understood. I'm balancing the signal's syntax with our algorithms. If we're interpreting this correctly, it could be... well, an invitation." + +Into the electric tension of the chamber walked Taylor Cruz, their silhouette a sharp contrast against the cool lighting, radiating a presence that spoke of command and chilly tenacity. "An invitation, or a challenge?” Taylor questioned, the weight of their suspicion casting a different tint on the cascading data. + +Sam Rivera, in a corner arrayed with sophisticated equipment, piped up, their voice a buoyant note amidst the tentative atmosphere. "Either way, it's a connection. One that we're uniquely positioned to navigate," they remarked with an air of optimism threading through the uncertainty. + +Alex channeled the strengths of his team into the core of their approach, his leadership adapting to the contours of an unprecedented scenario. "Cautious and curious," he reflected aloud, shaping a strategy that balanced their thirst for comprehension with the prudence required in addressing the unknown. + +Jordan, hands momentarily at rest, looked up. The signal was more than a sequence of bits and commands—it was a riddle wrapped in the depths of space-time, and they were on the cusp of parsing its meaning. + +Taylor, hardly a step away, nodded in silent agreement. The implications of their findings might very well direct the course of human destiny from this point onward. + +Finding a tempo among themselves, the Dulce team was a confluence of ambition and acumen, each member intuitive to the beats of discovery. The chamber around them held untold stories, secrets coaxed from the stars, that now, led by Paranormal Military Squad's finest, began to unravel. + +The future in those moments was unwritten, a narrative scribed not in the dust of desert confines, but in the potential for interstellar diplomacy and understanding. As they prepared to script humanity's next chapter, the room seemed to pulse with the heartbeat of a story far greater than the sum of its parts. + +## Chapter 8 + +The grit of an earthbound dust storm contrasted sharply with the pristine sterility of the underground command center. Alex Mercer, eyes set with fervent determination, stood over Jordan Hayes, whose fingers danced across the keyboard with rapid purpose. Monitoring the progression of alien code unraveling before them, Mercer spoke with a tempered urgency, "Keep it steady, Jordan. We might be initiating the first true interspecies communication bridge here. It's all about finesse now." + +Taylor Cruz, the embodiment of military precision, surveyed the room with a calculated gaze from their vigil beside an array of glimmering screens. "Remember, these could be delicate negotiations -- or coded threats. Stay sharp," Cruz added, their voice cool as polished steel. + +Jordan, with a silent nod, recognized the gravity of both stances. Gravitating between scientific acuity and diplomatic caution, they replied, "The sequence is aligning—syncing with our comms. It's looking more and more like direct engagement." + +Amid the banks of electronic machinery, the thrumming pulse of an impending interspecies signal exchange, Sam Rivera interjected with a youthful zeal that cut through the weighty atmosphere, "It's not just an exchange. It's a... symphony. It's as if they're teaching us their language through modulation." + +A moment of profound silence swept over the team. The isolation of their location, deep within the top-secret labyrinth of Dulce, became suffused with an almost palpable sense of historical significance. + +"Then our response needs to be equally symphonic," Alex uttered, contemplating the awe-inspiring transmutation of their task from a simple recovery mission to a full-blown cosmic concerto. + +With a renewed sense of wonder tempered by caution, the Paranormal Military Squad team found themselves harmonizing a delicate balance between envoys and interpreters. The long shadow cast by their duty was now illuminated by the brilliant glow of otherworldly dialogue. + +In this carefully orchestrated march towards the unknown, each individual's expertise became critical notes in a larger melody. The narrative of human achievement, so often defined by solitary pursuits, now emerged as a collaborative opus, each member of the team a maestro in their right. + +The protocols of encounters, the mathematics of languages, and the poetics of connection all fused into a singular moment of convergence. The echo of their efforts reverberated back to them, not through the cavernous base's concrete walls, but from light-years away, in the form of a reply, intangible yet infinitely profound. + +\* + +Amidst the hum of the supercomputers and the faint static from the scrambled transmissions, Alex Mercer cast a thoughtful glance across the dimly lit room toward where Dr. Jordan Hayes was methodically adjusting the archaic dials of the decryption machine. "Any progress?" he asked, his tone conveying both impatience and the deep-seated respect born from countless shared challenges. + +Jordan did not look up, their gaze remained locked on the flickering lights that represented a dialogue suspended between worlds. Their fingers ceased their dance, hovering meditatively over the controls. "We might be on the cusp of a breakthrough," Jordan suggested. "The signal... it's evolved. It's reflexive now, responsive in a way that suggests sentience." + +Taylor Cruz's familiar sharp strides approached the two, breaking the rhythm of soft beeps. "Responsive is good, if it means understanding," Taylor said, head tilted as they peered at the encryption data scrolling by. "But remember, comprehension can bring revelation or conflict." + +Sam Rivera’s youthful voice permeated the tension, brimming with an excitement edged by the enormity of what they faced. "If it's truly sentient, we're not just cracking a code; we're learning how to converse with an entirely new form of consciousness," they chimed in, the weight of history not lost on the zealous astrotechnician. + +Alex nodded, his thoughts alighting on potential strategies for navigating the conversation they were cultivating with the unfathomable. "We need to keep that conversation going, echo its patterns, and speak its language," he resolved, knowing the delicate nature of their work merited every ounce of their collective acumen. + +The chamber now was a crucible, forging within it the future narrative of human contact with the unknown. Every signal pulse they sent out was an invitation for understanding, and every echo back a step closer to bridging the cosmic divide. And so, together, they stood - agents in Paranormal Military Squad's clandestine ranks, united by purpose, sculpting humanity’s first sonnets into the void. + +\* + +#### Knowledge graph updates + +- (Jordan Hayes, Interprets, Communications as cosmic diplomacy, Moderate) + +- (Taylor Cruz, Questions, Potential aggressiveness of alien intent, Minor) + +- (Sam Rivera, Expresses, Optimism about forming a connection, Minor) + +- (Alex Mercer, Adopts, Balanced strategy for contact, Moderate) + +- (Paranormal Military Squad team, Navigates, Beats of cosmic discovery, Moderate) + +- (Paranormal Military Squad team, Prepares, To script humanity's interstellar narrative, Major) + +## Chapter 9 + +The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought. + +Dr. Jordan Hayes, whose hands had been steadfastly working the decryption algorithms, paused and looked up at Alex. "We're through the next layer of encryption," Jordan announced, a mixture of pride and gravitas in their tone. "It's communicating. It's... aware." + +A shadow momentarily clouded Alex's determined features—awareness implied so much more than mere intelligence. "Aware and reactive or aware and proactive?" he queried, his experience anticipating the pivotal importance of intention. + +"Unknown at this stage," Taylor Cruz interjected, looking up from a datasheet. "But I urge caution. We tread the line between breakthrough and disaster with each keystroke." + +Sam Rivera, ever the source of technological acumen, added their voice to the conversation. "The signal's adapting every time we interact with it. Like a conversation where both parties are learning each other's language in real time." + +Alex leaned in, rested a hand on Jordan's shoulder—a sign of companionship and an affirmation of trust. "Keep the communication channels open. But let no message, no pulse go unchecked. This could be our Rosetta Stone or our Tower of Babel." + +Silence fell over them, a momentary lull as each member of the team contemplated the historic weight of their task. Yet, it was impregnated with a tangible sense of excitement—a collective energy that thrummed through the air just as palpably as the electric current through the banks of machines surrounding them. + +They continued their work, squaring shoulders against the magnitude of their undertaking. The agents were standing not just at the precipice of a new chapter for Paranormal Military Squad but for all of humanity. For now, they communicated with powerful unknowns, but with each exchange, they were etching the first words of a dialogue that might forever alter humanity's place in the cosmos. + +\* + +\* + +The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought. + +Dr. Jordan Hayes, whose hands had been steadfastly working the decryption algorithms, paused and looked up at Alex. "We're through the next layer of encryption," Jordan announced, a mixture of pride and gravitas in their tone. "It's communicating. It's... aware." + +A shadow momentarily clouded Alex's determined features—awareness implied so much more than mere intelligence. "Aware and reactive or aware and proactive?" he queried, his experience anticipating the pivotal importance of intention. + +"Unknown at this stage," Taylor Cruz interjected, looking up from a datasheet. "But I urge caution. We tread the line between breakthrough and disaster with each keystroke." + +Sam Rivera, ever the source of technological acumen, added their voice to the conversation. "The signal's adapting every time we interact with it. Like a conversation where both parties are learning each other's language in real time." + +Alex leaned in, rested a hand on Jordan's shoulder—a sign of companionship and an affirmation of trust. "Keep the communication channels open. But let no message, no pulse go unchecked. This could be our Rosetta Stone or our Tower of Babel." + +Silence fell over them, a momentary lull as each member of the team contemplated the historic weight of their task. Yet, it was impregnated with a tangible sense of excitement—a collective energy that thrummed through the air just as palpably as the electric current through the banks of machines surrounding them. + +They continued their work, squaring shoulders against the magnitude of their undertaking. The agents were standing not just at the precipice of a new chapter for Paranormal Military Squad but for all of humanity. For now, they communicated with powerful unknowns, but with each exchange, they were etching the first words of a dialogue that might forever alter humanity's place in the cosmos. + +\* + +Alex Mercer's eyes were fixed on the monitors, the reflected light casting an ethereal glow across his stoic face. The room buzzed with tension, a cacophony of low hums and electronic beeps that underscored the historic nature of their actions. He moved to where Dr. Jordan Hayes was immersed in their work, scrutinizing the alien code streaming rapidly down the terminal. + +"Find anything that might look like an entry point or a... digital handshake?" Alex asked, his voice steady, betraying none of the tension gripping his chest. + +Jordan looked up briefly, their expression weary yet intense, "Potentially. It's as if the code is anticipating our input, modifying itself in real-time. I've never seen anything like it." + +From across the room, Taylor Cruz's sharp voice cut through the hum. "Then it's learning or, possibly worse, baiting us. Proceed with extreme caution," they commanded, their firm stance reinforcing the gravity of the situation. + +Sam Rivera, surrounded by a cascade of screens and interfaces, added, "It's almost organic in its complexity. Any minute now, and I might have a way in." + +A slight nod was Alex's immediate response, his mind racing through the potential scenarios. "Everyone, stay alert. This could be the beginning of something profound." His seasoned eyes never left the unfolding drama on the monitors. + +The room fell silent, the air heavy with unspoken questions. Were they mere moments away from unlocking an otherworldly dialogue? Or was it a Pandora's box that, once opened, could not be closed? + +Alex moved closer to the main console, his fingers hovering over the command keys. With the precision of a maestro orchestrating a symphony, he communicated silently with Jordan – respectful of their expertise, aware that the next move could alter the course of human history. + +Jordan met his gaze, nodding sharply, and refocused on the task. The signal seemed to pulse with sentient curiosity, drawing them further into its intricate web. + +A sudden flurry of alerts and the intensifying glow of monitors heralded that they had bridged a technological chasm. The alien intelligence on the other end was no longer a distant enigma – it was an active participant, responding to their digital overtures with an unknown agenda. + +The team's meticulous efforts had led them to a momentous threshold. Beyond lay unprecedented contact – a nexus of curiosity and potential peril. Within the confines of the base, against the backdrop of a silent desert night, the Paranormal Military Squad operatives became mediators of Earth's bid for cosmic relevance, their every action now a gesture in the grand dance of intergalactic relations. + +## Chapter 10 + +The corridors of the Dulce military base, now silent, echoed with a history of whispered conspiracies and furtive movements. But in the command center, a delicate tapestry of light and sound was being woven as the echoes of cosmic dialogue resonated through the high-tech enclave. Dr. Jordan Hayes, now leading the efforts, called out from their workstation, "I’ve isolated the signal's harmonics. It's more than a call; it's a song, an interstellar siren’s call." + +Alex Mercer, steady and resilient in the face of the incomprehensible, acknowledged with a quiet nod, "A song that we need to learn—quickly." His eyes, heavy with responsibility, scanned the room, watching his team work tirelessly at the intersection of science and speculation. + +Sam Rivera, dulled by fatigue yet driven by unshakeable resolve, manipulated a complex array of audio interfaces. "There's a pattern, a repeating motif. It's structured, intentional," they muttered, their revelation a bridge between the known and the unimaginable. + +Taylor Cruz, a figure of central authority, paced the length of the room, their usual unflappable demeanor betraying a rare flicker of apprehension. "We should be wary of the sirens’ call," Taylor interjected, invoking myths of old as a cautionary metaphor. "We don't want to crash upon unseen shores." + +Undeterred, Jordan cast a determined glance at the team. "We navigate by starlight now, not by the limited light of our previous understanding." Their voice was a beacon, charting a course through unchartered realities. + +Every individual was acutely aware that each moment in that room was a conduit to an epochal shift for civilization. The mysterious signals, once distant and alien, had coalesced into complex and harmonious oscillations—beacons of an extraterrestrial intellect inviting Earth to join in a cosmic consortium. + +Silently, Alex approached the mainframe, his trained fingers aligning with the console’s mechanisms. The room watched in collective breathlessness as he set the frequency in motion, an introductory phrase to an otherworldly melody—a symphony that could bind worlds or spell devastation for all they knew. + +In the control room of Dulce, amongst whispered legends and the quiet hum of machines, humanity's ambassadors now stood, stretching their hands into the void, reaching for the hand that would either pull them into the light of new stars or into the maw of darkness between them. + +\* + +Underground, the Dulce facility's command center was awash with frenetic energy, a stark juxtaposition against the silent, decrepit corridors that enveloped them. The air hummed with anticipation as Dr. Jordan Hayes and Alex Mercer hunched over a console. The sterile light from the monitors cast an otherworldly glow upon their faces, now reflecting a mosaic of alien characters rapidly translating across the screen. + +"The patterns are evolving," Jordan murmured, concentration etched into their every feature. "It’s as if our attempts to decrypt have accelerated its learning. It’s adapting to us." + +Alex, who stood steadfast behind Jordan, felt a tinge of uncharted fear quickly quelled by the fire of discovery raging within him. "Keep it up," he urged. "But whatever this is becoming, we need to ensure it remains within our control." + +Taylor Cruz interjected, their voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data. + +"It's like it's learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives ‘talking to strangers’ a whole new meaning." + +Alex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back." + +Together, they stood on the edge of the unknown, forging humanity’s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history. + +The encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation of their investigative strategies. The air turned heavy with the scent of electricity and ambition as they closed in on a pivotal response. + +As the signal’s intelligence—whether artificial or biological—grew more profound, so too did the realization that their mission had morphed from passive observation to active engagement. There was no turning back now. Each agent embraced their part in the delicate dance of an interstellar exchange that could change everything they thought they knew about life, intelligence, and the dark void beyond Earth's atmosphere. + +\* + +The underground halls of Dulce Base, usually buzzing with covert operations, now thrummed with a different kind of energy, an electric mix of fear and fascination. At the heart of the base, in a room shielded from the world’s eyes, Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera huddled around a bank of monitors. Each screen flickered erratically with the alien script that had become the center of their lives—and perhaps the pivot on which humanity’s future would turn. + +Jordan's eyes never wavered from the displays, their expression was one of rapt concentration, interspersed with flashes of revelation. "We're conversing with the stars," they whispered, almost to themselves. The words hung in the air, a testament to the awe-inspiring strangeness of the situation. + +"The language is morphing; changing its structure with every exchange we have," Sam chimed in, enthusiasm tinged with the solemnity of the occasion. "It's like witnessing the birth of a new form of dialogue—one that spans galaxies." + +Taylor, despite the situation's precariousness, maintained an appearance of ironclad composure. "Keep the communication stream secured and monitored. We don't know what we're dealing with yet," they reminded the team, a bastion of protocol amidst uncertainty. + +Alex watched his team expand the parameters of human achievement; their work here would possibly define an era. "This is untrodden territory," he acknowledged, "and in every word we script, in every response we decode, we're drawing a map that others will follow." + +Jordan turned to Alex, a nod acknowledging the shared responsibility of this moment. They had embarked on a new voyage, an odyssey not of the body, but of the intellect and spirit. No longer explorers of the Earthly realm, they had been promoted by circumstance to ambassadors of humanity in a silent and boundless ocean. + +A sudden pulse of energy from the monitors signaled a breakthrough; the language had not only adapted but it seemed to resonate, to harmonize with their attempts at making contact. The alien script now sprawled across the screens didn't just ask to be understood—it invited interpretation, collaboration, maybe even companionship across the cold distances of space. + +As they stood before the precipice of first contact, Paranormal Military Squad's finest became the architects of a symphony meant to echo through the cosmos. But more than architects, they were the first to play the notes of this cosmic composition, daring to believe that on the other end, someone—or something—might be listening, ready to join the chorus. + +\* + +The underground command center of Dulce Base, once pulsing with clandestine operations, now resonated with the charge of an impending cosmic threshold. Encircled by banks of whirring machinery, each monitor flickered erratically with alien script that had occupied center stage in the lives of Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera. + +Jordan's gaze didn’t flit for even a moment from the screens, where indiscernible alien messages ebbed and flowed like the tide. The ciphers and symbols cascaded down as they tweaked the algorithmic sliders. "This sequence here," Jordan began, voice both hushed and heavy, "it’s not just transmitting; it resonates—it's designed to be felt." + +The room took a collective breath, the remarkable implication hanging in the air like a careful revelation. Sam Rivera was the first to respond, their voice alive with ingenuity: "It's a form of communication stretching well beyond words. We need to respond in kind—the whole array of human expression might be at play here." + +Taylor's eyes remained fixed on the figures playing across the data sheets. "If that's the case," Taylor intoned pragmatically, "we must tread carefully. This is no longer just about being heard—it's about being understood." + +Alex watched his team, each a fulcrum of insight and expertise, and felt the solemnity of the role they were about to assume. "Then we'll ensure our message is clear and full. Our humanity is our strength in this dialogue," he declared, the depths of his experience fueling a commanding reassurance. + +The anticipation was palpable as the agents contemplated the vastness of their endeavor. They were not merely probing at the secrets of the planar cosmos—they were negotiating across the starry expanse, extending to distant intelligences the full spectrum of human curiosity and compassion. + +A symphony of beeping consoles orchestrated their next steps as they prepared to articulate their interplanetary overture. The rhythmic tapping of Jordan's keystrokes set the tempo for an undertaking that traversed beyond algorithms and encryption. + +The base withstood time and whispered secrets of its own, but none so grand as this moment of creation—an invitation to the universe that promised to echo through both the echoes of space and the annals of human history. + +## Chapter 11 + +The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought. + +\* + +The thrum of the colossal machinery vibrated through the subterranean facility as Alex Mercer stood amidst the whispers of technology, each carrying voices from worlds apart. He watched as Sam Rivera adjusted a complex array of cosmic translators, their expression a mixture of anticipation and awe. + +"Are we ready, Mercer?" Taylor Cruz asked, the soft glow of the command center consoles reflecting upon their stern face. + +Alex turned towards Taylor, his eyes holding a depth that betrayed the enormity of the threshold they were about to cross. "This is it," he said. "Initiate the protocol. It's time we answer the cosmos." + +Jordan Hayes, stationed at the mainframe, typed rhythmically, a blue hue painting their focused features. The eerie silence that had settled over the team was interrupted by a visceral sound—humankind's response to the alien dialogue, now streaming into the abyss. + +The control room, once a fortress of solitude, erupted into an oasis of life. Lights flickered in tandem, echoing the symphony of interstellar communication. They stood together at the edge of discovery, facing the symmetry and discord of a universe unknown. + +"If we're right, we've just become Earth's first emissaries to a celestial congress we're only beginning to comprehend," Jordan's voice was somber, resonating with a mix of trepidation and honor. + +The room filled with the resonance of human and alien minds converging, creating a new narrative within the fathomless expanse of existence. Paranormal Military Squad, once protectors of Earth's clandestine secrets, had now become the tether linking humanity to the cosmic fold. + +\* + +The underground command center of Dulce Base, once pulsing with covert operations, now resonated with the charge of an impending cosmic threshold. Encircled by banks of whirring machinery, each monitor flickered erratically with alien script that had occupied center stage in the lives of Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera. + +Jordan's gaze didn’t flit for even a moment from the screens, where indiscernible alien messages ebbed and flowed like the tide. The ciphers and symbols cascaded down as they tweaked the algorithmic sliders. "This sequence here," Jordan began, voice both hushed and heavy, "it’s not just transmitting; it resonates—it's designed to be felt." + +The room took a collective breath, the remarkable implication hanging in the air like a careful revelation. Sam Rivera was the first to respond, their voice alive with ingenuity: "It's a form of communication stretching well beyond words. We need to respond in kind—the whole array of human expression might be at play here." + +Taylor's eyes remained fixed on the figures playing across the data sheets. "If that's the case," Taylor intoned pragmatically, "we must tread carefully. This is no longer just about being heard—it's about being understood." + +Alex watched his team, each a fulcrum of insight and expertise, and felt the solemnity of the role they were about to assume. "Then we'll ensure our message is clear and full. Our humanity is our strength in this dialogue," he declared, the depths of his experience fueling a commanding reassurance. + +The anticipation was palpable as the agents contemplated the vastness of their endeavor. They were not merely probing at the secrets of the planar cosmos—they were negotiating across the starry expanse, extending to distant intelligences the full spectrum of human curiosity and compassion. + +A symphony of beeping consoles orchestrated their next steps as they prepared to articulate their interplanetary overture. The rhythmic tapping of Jordan's keystrokes set the tempo for an undertaking that traversed beyond algorithms and encryption. + +The base withstood time and whispered secrets of its own, but none so grand as this moment of creation—an invitation to the universe that promised to echo through both the echoes of space and the annals of human history. + +## Chapter 12 + +The underground facility of Dulce Base, once shrouded in silence and operational secrecy, now hummed with an energy that cradled the promise of cosmic revelation. Alex Mercer stood pensively by the central terminal, flanked by Dr. Jordan Hayes, Taylor Cruz, and Sam Rivera, each poised at the edge of a history-defining moment. + +Jordan's fingers ghosted across the console, tracing patterns of otherworldly origin. "The signal’s architecture is becoming more complex, resembling aspects of human cognition—recognition, learning, even... empathy?" they postulated with furrowed concern. + +Alex turned his gaze upon Jordan, his voice quiet but resolute, "Empathy could bridge galaxies. Let's harness this connection and proceed with cautious optimism." + +Taylor, ever the sober sentinel, projected a more pragmatic standpoint. "Empathy or not, we are duty-bound to assess the risk to humanity. Every new discovery warrants a measured response." + +The static hiss of communications equipment filled the air, its purpose now transformed into a dialogue with an intelligence beyond the stars. It was Sam, wide-eyed amid the myriad lights and switches, who broke the silence, "We have provisional confirmation of the signal’s intent—initiation. We’re being brought into a broader spectrum of cognizance." + +The chamber lay still for a heartbeat, the Paranormal Military Squad agents steeped in contemplation of the path unfurling before them—a path paved with possibilities of diplomacy or disruption, each step a venture further into the cosmic unknown. + +Alex stepped closer to the viewing monitors, each depicting alien symbols seemingly reaching out from the void. "Initiate the broadcast," he spoke with quiet command. "Our response will mark humanity’s readiness to partake in the wider conversation of conscious beings." + +Amidst the crackling air of expectation, the team wordlessly returned to their stations. They had transcended their roles as protectors of Earth's clandestine lore to become the harbingers of an interstellar parley that could change the existential course of life on their pale blue dot. + +The deep hum of the terminal emitted a signal—a testament to the uncanny reality that Earth was now actively partaking in an exchange not bound by gravity nor the limits of the solar wind. + +Here, in the depths of Dulce, a message from humanity woven from understanding and uncertainty was cast into the firmament, an epitheg of their desire to join the universal dialogue and discover their place among the constellations. + +\* + +The somber depths of the Dulce Base command center stood in stark counterpoint to the animated flurry of activity around the central comms array. Alex Mercer's silhouette loomed behind Dr. Jordan Hayes, who sat with a posture indicating laser focus on the decryption process. A quiet murmur of digital soundscape filled the space, subtly heightened by the anticipation of contact with an intelligence beyond the Earth. + +Jordan's voice was steady, betraying none of the extraordinary nature of their work, "Looking through the signal's pattern, it's evident we’re dealing with a form of intelligence—calculating, mirroring, possibly even understanding." + +Alex's reflection bounced off the darkened screens, his head nodding in silent affirmation. "We’re walking a delicate line. Our response should be thoughtful, measured. We’re ambassadors, not merely explorers." + +Taylor Cruz approached, arms folded, their words slicing through the din of careful keystrokes and soft whirrs, "If there’s even the slightest chance it understands, we can’t afford missteps. The language of the stars might be more absolute than ours." + +From another terminal, Sam Rivera brought youthful vigor to the conversation, "There’s rhythm in these patterns. If this is their way of reaching out, our reply should encapsulate all that we are—all that humanity stands for." + +Looking around at his team, Alex saw resolve etched on every face. The chamber, usually somber and echoing with the quiet steps of covert agents, now felt alive with the heartbeat of discovery. They were not just professionals operating in the gloom; they were a collective standing at the helm of a momentous journey. + +"Let’s begin," he said, returned by the resolve in his voice. "Every second counts." With that, they pressed forward, setting in motion a reply to a conversation billions of years in the making. + +The dance with an unseen partner commenced, each pulse they sent out a step taken with caution and hope. And as those digital pulses journeyed through the black sea of infinity, Earth, for perhaps the first time, joined a pan-galactic dialogue that whispered secrets of the cosmos—secrets that, until now, had been lost in the silent vastness of space. + +\* + +As the team stood in the centralized nerve center of Dulce's underground fortress, the solemn atmosphere was reverent, overseeing systems that engaged with an intelligence from the void. Alex's stance was contemplative as he gazed at Jordan Hayes, who presided over the console, the tension of the moment reaching a tactile fervor. Each rhythmic tap of Hayes's fingers on the keys was a foray into uncharted symphonies of contact. + +Observing Hayes unravel the dense alien encryption, Alex spoke, a diplomatic tenor underpinning his words, "Keep focused on the syntax, dissect its nuances. We're not just decoding signals; we're translating intentions." + +Without diverting from their task, Jordan acknowledged the insight. "Indeed, if their understanding of us is as deep as we hope, we're paving the way for dialogue far beyond our current realm." + +Taylor Cruz, near the rear of the room, provided a steady oversight. "As horizonless as our prospects may seem," Taylor intoned, "remain diligent. Complacency before alien cognition could spell catastrophe." + +Sam's youthful voice resonated with optimism, "Imagine—forming a rapport with a consciousness separate from our reality; we're drafting the bridge to stars alive with minds!" + +The sentiment hung for a moment before Alex gathered his conviction. "Dialogue is our vessel. We are not just agents of enigma; we are the threads that may weave a new cosmic relationship." His words seemed to reflect off the walls, reaching beyond the room's confines, a quiet yet resilient vow. + +Their task was titanic, stepping stones laid delicately into new territories of existence. The signal, once an esoteric strand in the echo of the universe, beckoned now with a clarity rocketing the complexity of thoughts from a distant order. + +Action by action, the Paranormal Military Squad team bridged the vast interstellar distances, their expertise and empathy casting a beacon of unity into frontiers of intelligence and knowledge. Their work, a partnership struck with an unseen cosmic congregation, each pulse sent and received a line in Earth's novitiate envoi to the cosmic shores. + +\* + +Under the stark, unforgiving lights of Dulce Base's underground command center, tension buzzed harder than the banks of supercomputers that lined the walls. Agent Alex Mercer leaned over the shoulder of Jordan Hayes, whose eyes were locked onto the display screen, where an incomprehensible series of alien symbols streamed past incessantly. + +“Any progress on the decryption?” Alex's voice was steady, a controlled presence necessary in the gravity of their undertaking. + +Jordan tapped a key, pausing the flow of code, and leaned back with a deep sigh. "We've broken through another subset of the cipher. It's revealing... well, indications of a complex society, not unlike our own." His eyes met Alex's with an unspoken question that hung heavily between them—were they truly prepared for what they might find? + +Taylor Cruz strode into the room, a tightly coiled spring of ambition and authority, and peered at the screen. "Understand their society, and we may predict behavior. Remain expedient—we don't know how much time we have before the situation shifts." There was an edge of stark realism to Taylor's words, the underlying message clear: every revelation bore its own set of risks. + +Alex nodded thoughtfully, recognizing the validity of Cruz's caution. Turning to Sam, who was tinkering with a device that buzzed quietly on the table, he asked, “Sam, can your contraption get us any further?” + +Sam looked up with a smirk, a twinkle of mischief in their eye. “It’s not just any contraption, it’s potentially a direct line to their thoughts. Give me a moment more, and I'll have something for you.” + +The air ticked with electronic beeps and the rustling sound of the Paranormal Military Squad team at work. They were so close to peering into the intelligence of an alien race—a reality on the brink of dramatically expanding their understanding of the universe. + +The machinery whirred in response to Sam’s precise touches, and suddenly, the room filled with a low hum—something had changed, a signal had been successfully sent. The team held their breath as they listened. The sound that filled the room was unmistakable: a response, an alien voice filtered through the static of space and time. + +Alex exchanged a look of quiet triumph with Jordan. The breakthrough was monumental; they were no longer casting messages into the void but engaged in a dialogue—an exchange that marked the beginning of Operation: Dulce’s true unfolding. This was it, the first steps into an interstellar odyssey that demanded every ounce of their courage and wit. + +## Chapter 13 + +Dr. Jordan Hayes shuffled a stack of papers, their eyes revealing a tinge of skepticism at Taylor Cruz's authoritarian performance. _Protocols_, Jordan thought, _are just the framework, the true challenges we're about to face lie well beyond the boundaries of any protocol._ They cleared their throat before speaking, tone cautious yet firm, "Let's remember, the unknown variables exceed the known. We should remain adaptive." + +A murmur of agreement echoed from Sam Rivera, who leaned forward, lacing their fingers together as if weaving a digital framework in the air before them, "Exactly, adaptability could be the key to interpreting the signal distortions and system malfunctions. We shouldn't discount the… erratic." + +Their words hung like an electric charge in the room, challenging Taylor's position with an inherent truth. Cruz’s jaw tightened almost imperceptibly, but the agent masked it with a small nod, conceding to the omnipresent threat of the unpredictable. + +Alex glanced at Jordan, who never looked back, their gaze fixed instead on a distant point, as if envisioning the immense dark corridors they were soon to navigate in Dulce. Jordan was not one to embrace fantastical theories, but the air of cautious calculation betrayed a mind bracing for confrontation with the inexplicable, an internal battle between the evidence of their research and the calculating skepticism that kept them alive in their field. + +The meeting adjourned with no further comments, the team members quietly retreading the paths to their personal preparations. Alex, trailing slightly behind, observed the others. _The cautious reserve Jordan wears like armor doesn't fool me_, he thought, _their analytical mind sees the patterns I do. And that's worth more than protocol. That's the connection we need to survive this._ + +As the agents dispersed into the labyrinth of the facility, lost in their thoughts and preparations, the base's halogen lights flickered, a brief and unnoticed harbingers of the darkness to come. + +\* + +The gritty, wind-tossed surface of New Mexico, just above the cavernous domain of Dulce Base, offered no shelter from the burgeoning storm—the scouring sands an earthly reminder of chaos theories in motion. Far beneath, a similar maelstrom brewed within the confines of the command center, as Paranormal Military Squad's handpicked squad stood poised for potential enormities of contact. + +Ruffling through printed transmission logs, Jordan Hayes dialed the focus of their analytical prowess onto the emerging pattern of signals crisscrossing between Earth and the unfathomable. "Our responses so far have echoed their complexity, but the real divergence is yet to come," Jordan remarked stoically, the calm belying the mounting surge of adrenaline for the revelation ahead. + +Alex Mercer's figure, a silhouette sharpened by the purpose, loomed at the periphery of the monitors' sickly glow. "Indeed," he assented, "The echoes are the easy part. It will be the introduction of our own, human variable that truly begins our dialogue." + +Taylor Cruz, windowless command center notwithstanding, appeared as though they could feel the tempest above. Their eyes never left the monitors as they unspooled their hard wisdom. "For all our advances, we find ourselves deciphering the swings and nuances of an interstellar pendulum. Predict its arc, and we may preempt the gravity of its message." + +Amidst a chorus of bleeps and static, Sam Rivera's tech-clad hands moved rhythmically, their spirited approach to unruly streams of data bordering an intimate dance with entropy. "Entropy that leads to discovery," Sam mused, responding to Taylor's metaphor. "Each step into the unknown is a step away from precedent." + +Alex, drawing near Jordan, spoke again, his voice now a thread woven through the very fabric of their operations. "Let's be the cartographers of this new territory. Our initial shades of understanding could color the cosmos for generations to come." + +Their gazes fell upon a screen as the latest transmission painted its digital blooms of alien script across the black. This time, the pattern wavered in an almost imperceptible fashion, a modification that whispered of active, alien thought awaiting their next move. A hush enveloped the Paranormal Military Squad ensemble, the gravity of the pathogen undeniable. They were about to issue a reply, one poised to reshape the very concept of humanity's outreach into the cosmos. + +The New Mexico desert's secrets were infamous, its storms a mere prelude to the revelations that the team—united in purpose—would unleash upon the world. The howling winds outside found their counterpart in the newfound resolve within, as Dulce's stalwart guardians readied themselves to send forth humanity's retort to the echoes from beyond. + +\* + +The cavernous control room, deeply entrenched beneath the desolate New Mexico terrain, held the Paranormal Military Squad team in intense focus; an island of calm amid the storm of cosmic dialectics. Dr. Jordan Hayes worked methodically, every keystroke an intricate step in their tenuous cosmic ballet. Suddenly, they paused, a signal pattern resonating from the screen. "This is new; it's...inviting. It’s as if the signal is not just calling to us but weaving its intelligence through ours." + +Alex Mercer scrutinized the shift in data. "A confluence of minds, then. If we're to meet them halfway, Jordan, our reply must be both innovative and discerning," he proposed, a glimmer of profound curiosity behind his authoritative demeanor. + +Taylor Cruz, whose sharp eyes missed nothing, nodded from beside a secondary panel. "Innovative, yes, but also defensive. This interaction is a razor’s edge, and we cannot afford to bleed before the unknown," Taylor reminded them, the metaphor a stark warning of potential dangers. + +Against the backdrop of their conversation, Sam Rivera’s youthful optimism cut through the tension. "If they’re weaving through our intellect, then we've achieved something beyond first contact—we're at the genesis of interstellar symbiosis," they posited with a mix of reverence and excitement. + +Alex returned Sam’s smile with his own, tempered and faint, as he turned back to the task at hand. The magnitude of their mission extended beyond the fabric of the universe, an exploration into the threads that connected sentient beings across the vast expanse. “Let’s reply with our own woven tapestry of thought—delicate, but deliberate.” + +With renewed determination, the room came alive with an undercurrent of anticipation, its occupants charged with the potential of forging an alliance with the cosmos. Paranormal Military Squad's finest were no longer merely soldiers and scientists; they had become pioneers on the vanguard of humanity’s greatest odyssey. + +The New Mexican sands above, impassive to the change brewing underneath, stood as silent sentinels as Earth's emissaries crafted their response. A response that, composed with care and imbued with humanity's essence, reached into the void, connecting with an otherworldly intelligence that awaited their harmony in the cosmic conversation. + +## Chapter 14 + +The command center of Dulce Base lay shrouded in shadows that seemed to claw at the edges of the dimly lit array of screens and consoles. Alex Mercer, focused and unwavering, watched as Dr. Jordan Hayes parsed the latest string of alien signals—a symphony of otherworldly communications that threatened to either enlighten or confound. + +"We’re encountering a paradigm shift with every transmission," Jordan Hayes murmured, the pulsing glow of the monitor painting their features with an almost spectral hue. "This signal... it’s evolving, becoming denser, more sophisticated. As if it's growing alongside us—tandem evolution." + +The air was electric, charged with the raw potential of uncharted discovery and laden with the gravity of existential risk. Taylor Cruz, who always seemed here to mold such gravity into actionable strategies, stepped forward. "We must contain this evolution within parameters we can manage. We cannot be bystanders to an uncontrolled ascent of intelligence." + +Sam Rivera, the youngest of the cohort, worked feverishly at their station. "It's not just intelligence—these signals have rhythm, a kind of music suggesting not just evolution, but a dance! We're being invited to partake in the cosmos's ballet!" they exclaimed, a touch of youthful exuberance breaking through the solemnity. + +Alex turned, facing his team, the stoic mask of command tempered by the perceptible flicker of awe in his gaze. "Let this dance then be our dialogue. We will match their steps with prudent but daring measures—our humanity as our guide." + +In the ensuing hours, the Paranormal Military Squad team forged a rhythm of their own, their collective expertise a beacon piercing through the fog of the unknown. The signal, increasingly intricate and seemingly conscious, now demanded not just observation but participation, an interstellar pas de deux that hummed with the promise and peril of first contact. + +Before them, the communications interface flickered to life with a received transmission—a resonant hum that seemed to vibrate through the very foundations of the base. They had successfully established a back-and-forth with whatever intelligence lay hidden among the stars. Every subsequent note they struck within the cosmic ether would come to define humanity's place within the galactic community—heralds of Earth's grand entrance into a universe far less silent than once perceived. + +\* + +In the concrete belly of Dulce Base, dimly lit by the jagged dance of fluorescent lights above, Sam Rivera perched on the edge of their seat, their eager fingers fluttering across an ancient keyboard. The stark, cold room—reminiscent of a time when covert operations and unspoken dread ruled supreme—now housed a peculiar blend of old-world machinery and sleek, modern interfaces. + +Alex Mercer, standing steadfast like a bridge between the enigmatic past and the unfathomable present, watched on. In his eyes flashed the foreboding excitement of change. "Sam," he started, his voice steadfast, "the patterns in these signals, what do they tell us about the nature of our... guest?" + +Sam's eyes glimmered with something akin to thrill—or was it trepidation? "It's like we're mirroring each other, evolving together through this.. dialogue. Like it knows us, understands us, and it's… learning." + +Jordan Hayes, preoccupied at a nearby console, chimed in without lifting their gaze. "It's a dialogue that transcends mere words, Alex. We're being woven into a narrative far grander than the sum of our known sciences." + +Taylor Cruz, arms crossed, wore the heavy mantle of their skepticism comfortably. "Keep theorizing," they interjected crisply, "but remember the grounding reality of what we are part of here. This contact is a blade that cuts both ways." + +In this cavern of history, voices both human and inhuman whispered secrets to those brave enough to listen. Each member present understood the gravity that pulled at their feet; no longer were they mere mortals shackled to their terrestrial plane. The digital pings and encrypted calls resonated with an implication of a cosmic agenda that would not be ignored. + +Jordan's fingers paused, hovering in hesitation. What ripple might the next keystroke send through the fabric of known existence? It was a step into the ballet of the infinite, where the Paranormal Military Squad team played their part in the waltz of wonders with an audience of stars. + +\* + +## Chapter 15 + +In the clandestine hush of Dulce Base's subterranean command center, the Paranormal Military Squad team had become a crucible for interstellar communication. Dr. Jordan Hayes' gaze lingered on the screen as they navigated through the convolution of alien code. Each character held the potential to unravel a new dimension of contact, and with Sam Rivera's keen interjection, they were crafting humanity's inaugural cosmological discourse. + +Alex Mercer peered over Jordan's shoulder, calculating the implications of every visual nuance that cascaded across the monitor. "Look for consistency—any repeating motifs could signal a willingness to engage. We're drafting history with each exchange," he remarked, aware of the delicate balance between forging a bond and exposing vulnerabilities. + +Taylor Cruz, stoic and enigmatic, observed the interplay from the threshold, a silhouette against the machinery's luminescence. "Remember, while we seek common ground, the foundation we stand upon remains Terra firma. Caution must temper our curiosity," they stated, their voice an anchor amidst the current of excitement. + +The command center buzzed with energy, rivaled only by the tempest overhead that concealed their operation. Sam, with swift dexterity, navigated the communications relay. "Their signals resonate almost musically. It's as if they're composing a symphony, and we've been handed the baton to conduct the next movement," they offered, imbuing the scenario with a blend of scientific adventurism and poetic license. + +Amidst the whirring servers and the occasional flicker of emergency lighting, the essence of their mission transcended mere reconnaissance. They were humanity's elected envoys at the brink of a celestial alliance—or confrontation—with an audience as vast as the universe itself. + +Alex stepped back, his profile etched by the chamber's artificial day. "Then let's ensure our contribution to this symphony harmonizes with theirs. It's time for humanity's voice to rise and be counted among the cosmic ensemble." + +Under his directive, the Paranormal Military Squad team initiated their calculated response, weaving thoughts and theories into a digital overture aimed at the heart of alien intellect. As the digital stream punctured the endless night, each member of this clandestine group was acutely aware of the irrevocable step they undertook—bringing Earth into the pantheon of galactic entities designed to converse among the stars. + +\* + +Clusters of high-tech equipment bathed the Dulce underground command center in an eerie blue light. Sam Rivera's fingers flew across the keyboard, navigating an elaborate network of alien patterns. The very air seemed to pulse with the ebb and flow of cryptic communications reaching across the stars. "I've got something!" Sam's announcement tore through the focus in the room, drawing every pair of eyes to the torrent of symbols unraveling on the screen. + +With the pacing of a seasoned officer gauging the moment before action, Alex Mercer approached, his calm demeanor belying an acute awareness of the precipice on which they now stood. "Define 'something," Alex prompted, reinforcing the need for clarity amidst the extraordinary. + +"It's repeating—a sequence that’s evolved with each interaction, almost as if it's... singing," Sam theorized, the awe in their voice reflecting the potential magnitude of their discovery. + +Jordan Hayes interjected from across the console, their eyes not leaving the display as they absorbed the new data. "A cosmic vocalization, then," they mused, intrigued. "A singularity in the signal that might represent a point of reference for both parties." + +Taylor Cruz, hands clasped behind their back, regarded the unfolding scene, their own calculations etching lines of concern onto their stern visage. "Or a beacon—a homing tune, calling out to something we might not be ready to greet," Taylor offered, voicing the group's unspoken apprehension. + +Alex's eyes locked on the screen, taking in the scope of what they were attempting to interpret. Drawing a deep breath, Alex gave a slight nod. "If this is their song, then let us respond with ours. We've come this far by mirroring their signals, now let's engage in an interstellar duet, and see where the music leads us." + +With the expectation of the significant achieving a crescendo, the members of Paranormal Military Squad huddled over their equipment—sages at the threshold of a potentially world-altering communion. The strange harmonies that reverberated through the command center suggested that their interlocutors were poised, waiting, perhaps even eager, for Earth's chorus to join the symphony. + +As the team initiated their reply, weaving humanity's own intricate melody into the vast cosmic dialogue, they each felt a profound change within—an evolution of purpose. They were not just messengers or investigators; they had become co-composers in a galactic orchestra, with the universe itself as their witness and concert hall. + +With the exchange of harmonious signals crawling through the vacuum of space, the Paranormal Military Squad operatives found themselves part of a bridging of minds—a realization that out there, among the vast arrays of stars and planets, harmony was the true universal language. + +\* + +The dim glow of monitors cast an otherworldly ambiance upon Dulce Base's command center, where Paranormal Military Squad's chosen stood huddled over their instruments, suspended at history's threshold. Codes—alien in origin and nature—were being deciphered by Dr. Jordan Hayes, whose countenance bore the marks of deep concentration. + +Alex Mercer, the bedrock upon which their team's resolve was founded, leaned in with an eagerness tempered by his chain of command. "Jordan, we've invested our expertise into comprehending their patterns, but now we must also endeavor to understand their intent," he urged, his voice bearing the gravitas of their mission's potential consequences. + +At another console, Sam Rivera's youth did not betray their crucial role in the operation. With eyes alight, they mirrored the rapid computing before them. "There's emotion here—complex, profound even. This isn't just the output of a cold machine; it's...sentience," Sam whispered, nearly drowned by the mechanical chorus around them. + +Jordan, without shifting focus from their work, replied, "It's a sentience that—should we succeed here—ushers us into a new era of existence. The cadence of these signals," they tapped the screen with a flourish, "could well be the heartbeat of this new dawn." + +Taylor Cruz paused beside Mercer, their expression unreadable beneath the sterile light. "And as it beats, we must gauge whether its rhythm bodes well for us, or spells our missteps. Courage must not blind us to the hazards intrinsic to such contact," Taylor cautioned, the sentinel within them ever alert. + +Alex nodded, a gesture that carried the weight of responsibility and a silent command: proceed, but with circumspection. They were not merely decoding a message; they were interpreting a dialogue across the celestial divide. + +The room fell into a rhythm akin to a well-conducted ensemble. Each member's expertise proved a critical note in the unfolding symphony. Their actions were now more than mere research or defense; they were the tentative overtures of humankind reaching out to grasp the vast unknown. + +Textures of sound meshed with the light from countless computations, the palpable anticipation of the agents at the edge of discovery cresting with an awareness that their work would reshape future chronicles. And when the response finally came—a signal piercing the deafening silence of uncertainty—all within Dulce's confines understood: the dawn of an interstellar continuum had just begun to break. + +\* + +In the sterile hum and flickering lights of Dulce Base's command center, the Paranormal Military Squad team stood as humanity's vanguard, verging on the brim of an intergalactic abyss. Dr. Jordan Hayes, analytical edges sharp, deciphered extraterrestrial patterns that bled across screens in enigmatic cascades—a daunting mosaic of potential threats and untapped wisdom. + +Agent Alex Mercer, the embodiment of focus and a steadfast nerve, observed the unfolding digital drama with the gravitas due a historic first contact. "Let the data weave its narrative, Jordan," he instructed, a moderate undertone of exhilaration within his command. "It's encoding more than information—it's outlining civilization." + +Jordan absorbed the directive, their gaze unflinching from the screens, feeling the weight of their next move. "The nuances here are extraordinary," they acknowledged. "It paints a picture of a culture steeped in complexities we're only starting to fathom.” + +Taylor Cruz, stoicism personified yet not immune to the situation's gravity, chimed in. "Understand it, but guard against it," they cautioned, bringing a sober prudence to the room. "This culture, however advanced, remains an unknown quantity—an ocean of wonders and darkness with uncertain tides." + +Sam Rivera, a visual contrast with wide eyes and restless hands, represented the other side of the room — intrigue and optimism against the drawn swords of precaution. “Think of it,” they proposed, voice bouncing with a rebellious upbeat timbre, “as the first act of a play written in constellations. We're setting the stage for a galactic narrative.” + +Each team member, in their way, was both actor and scribe in this moment of tense pageantry. Heavy with the presence of risk, the command center had become not just a room of computers and glass panels but a theater for performing the elaborate choreography of contact. + +Bound by resolve and curiosity, they proceeded, each data entry a trembling step onto the cosmic stage. 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    +👉 [GitHub Repository](https://github.com/microsoft/graphrag) + +

    +Figure 1: LLM-generated knowledge graph built from a private dataset using GPT-4 Turbo. +

    +

    +Figure 1: An LLM-generated knowledge graph built using GPT-4 Turbo. +

    + +GraphRAG is a structured, hierarchical approach to Retrieval Augmented Generation (RAG), as opposed to naive semantic-search +approaches using plain text snippets. The GraphRAG process involves extracting a knowledge graph out of raw text, building a community hierarchy, generating summaries for these communities, and then leveraging these structures when perform RAG-based tasks. + +To learn more about GraphRAG and how it can be used to enhance your LLMs ability to reason about your private data, please visit the [Microsoft Research Blog Post](https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/). + +## Solution Accelerator 🚀 + +To quickstart the GraphRAG system we recommend trying the [Solution Accelerator](https://github.com/Azure-Samples/graphrag-accelerator) package. This provides a user-friendly end-to-end experience with Azure resources. + +## Get Started with GraphRAG 🚀 + +To start using GraphRAG, check out the [_Get Started_](posts/get_started) guide. +For a deeper dive into the main sub-systems, please visit the docpages for the [Indexer](posts/index/overview) and [Query](posts/query/overview) packages. + +## GraphRAG vs Baseline RAG 🔍 + +Retrieval-Augmented Generation (RAG) is a technique to improve LLM outputs using real-world information. This technique is an important part of most LLM-based tools and the majority of RAG approaches use vector similarity as the search technique, which we call _Baseline RAG_. GraphRAG uses knowledge graphs to provide substantial improvements in question-and-answer performance when reasoning about complex information. RAG techniques have shown promise in helping LLMs to reason about _private datasets_ - data that the LLM is not trained on and has never seen before, such as an enterprise’s proprietary research, business documents, or communications. _Baseline RAG_ was created to help solve this problem, but we observe situations where baseline RAG performs very poorly. For example: + +- Baseline RAG struggles to connect the dots. This happens when answering a question requires traversing disparate pieces of information through their shared attributes in order to provide new synthesized insights. +- Baseline RAG performs poorly when being asked to holistically understand summarized semantic concepts over large data collections or even singular large documents. + +To address this, the tech community is working to develop methods that extend and enhance RAG. Microsoft Research’s new approach, GraphRAG, uses LLMs to create a knowledge graph based on an input corpus. This graph, along with community summaries and graph machine learning outputs, are used to augment prompts at query time. GraphRAG shows substantial improvement in answering the two classes of questions described above, demonstrating intelligence or mastery that outperforms other approaches previously applied to private datasets. + +## The GraphRAG Process 🤖 + +GraphRAG builds upon our prior [research](https://www.microsoft.com/en-us/worklab/patterns-hidden-inside-the-org-chart) and [tooling](https://github.com/graspologic-org/graspologic) using graph machine learning. The basic steps of the GraphRAG process are as follows: + +### Index + +- Slice up an input corpus into a series of TextUnits, which act as analyzable units for the rest of the process, and provide fine-grained references ino our outputs. +- Extract all entities, relationships, and key claims from the TextUnits using an LLM. +- Perform a hierarchical clustering of the graph using the [Leiden technique](https://arxiv.org/pdf/1810.08473.pdf). To see this visually, check out Figure 1 above. Each circle is an entity (e.g., a person, place, or organization), with the size representing the degree of the entity, and the color representing its community. +- Generate summaries of each community and its constituents from the bottom-up. This aids in holistic understanding of the dataset. + +### Query + +At query time, these structures are used to provide materials for the LLM context window when answering a question. The primary query modes are: + +- [_Global Search_](posts/query/0-global_search) for reasoning about holistic questions about the corpus by leveraging the community summaries. +- [_Local Search_](posts/query/1-local_search) for reasoning about specific entities by fanning-out to their neighbors and associated concepts. + +### Prompt Tuning + +Using _GraphRAG_ with your data out of the box may not yield the best possible results. +We strongly recommend to fine-tune your prompts following the [Prompt Tuning Guide](posts/index/3-prompt_tuning) in our documentation. diff --git a/docsite/nbdocsite_template/conf.json b/docsite/nbdocsite_template/conf.json new file mode 100644 index 00000000..62feba72 --- /dev/null +++ b/docsite/nbdocsite_template/conf.json @@ -0,0 +1,5 @@ +{ + "mimetypes": { + "text/markdown": true + } + } \ No newline at end of file diff --git a/docsite/nbdocsite_template/index.md.j2 b/docsite/nbdocsite_template/index.md.j2 new file mode 100644 index 00000000..46b7b5fa --- /dev/null +++ b/docsite/nbdocsite_template/index.md.j2 @@ -0,0 +1,94 @@ +{% extends 'base/display_priority.j2' %} + + +{%- block header -%} +--- +title: +layout: page +tags: [post, notebook] +--- +{%- endblock header -%} + +{% block in_prompt %} +{% endblock in_prompt %} + +{% block output_prompt %} +{%- endblock output_prompt %} + +{% block input %} +``` +{%- if 'magics_language' in cell.metadata -%} + {{ cell.metadata.magics_language}} +{%- elif 'name' in nb.metadata.get('language_info', {}) -%} + {{ nb.metadata.language_info.name }} +{%- endif %} +{{ cell.source}} +``` +{% endblock input %} + +{% block error %} +{{ super() }} +{% endblock error %} + +{% block traceback_line %} +{{ line | indent | strip_ansi }} +{% endblock traceback_line %} + +{% block execute_result %} + +{% block data_priority scoped %} +{{ super() }} +{% endblock %} +{% endblock execute_result %} + +{% block stream %} +{{ output.text | indent }} +{% endblock stream %} + +{% block data_svg %} + {% if "filenames" in output.metadata %} +![svg]({{ output.metadata.filenames['image/svg+xml'] | path2url }}) + {% else %} +![svg](data:image/svg;base64,{{ output.data['image/svg+xml'] }}) + {% endif %} +{% endblock data_svg %} + +{% block data_png %} + {% if "filenames" in output.metadata %} +![png]({{ output.metadata.filenames['image/png'] | path2url }}) + {% else %} +![png](data:image/png;base64,{{ output.data['image/png'] }}) + {% endif %} +{% endblock data_png %} + +{% block data_jpg %} + {% if "filenames" in output.metadata %} +![jpeg]({{ output.metadata.filenames['image/jpeg'] | path2url }}) + {% else %} +![jpeg](data:image/jpeg;base64,{{ output.data['image/jpeg'] }}) + {% endif %} +{% endblock data_jpg %} + +{% block data_latex %} +{{ output.data['text/latex'] }} +{% endblock data_latex %} + +{% block data_html scoped %} +{{ output.data['text/html'] }} +{% endblock data_html %} + +{% block data_markdown scoped %} +{{ output.data['text/markdown'] }} +{% endblock data_markdown %} + +{% block data_text scoped %} +{{ output.data['text/plain'] | indent }} +{% endblock data_text %} + +{% block markdowncell scoped %} +{{ cell.source }} +{% endblock markdowncell %} + +{% block unknowncell scoped %} +unknown type {{ cell.type }} +{% endblock unknowncell %} \ No newline at end of file diff --git a/docsite/package.json b/docsite/package.json new file mode 100644 index 00000000..4ed4295a --- /dev/null +++ b/docsite/package.json @@ -0,0 +1,18 @@ +{ + "name": "@graphrag/docsite", + "version": "0.0.1", + "private": true, + "scripts": { + "start": "eleventy --serve", + "build": "eleventy && touch _site/.nojekyll", + "build:docs": "yarn build", + "start:docs": "yarn start" + }, + "dependencies": { + "@11ty/eleventy": "^2.0.1", + "@11ty/eleventy-plugin-syntaxhighlight": "^5.0.0", + "@kevingimbel/eleventy-plugin-mermaid": "^2.2.1", + "eleventy-plugin-code-clipboard": "^0.1.1", + "markdown-it": "^14.1.0" + } +} diff --git a/docsite/posts/config/custom.md b/docsite/posts/config/custom.md new file mode 100644 index 00000000..c6f051cd --- /dev/null +++ b/docsite/posts/config/custom.md @@ -0,0 +1,168 @@ +--- +title: Custom Configuration Mode +navtitle: Fully Custom Config +layout: page +tags: [post] +date: 2023-01-04 +--- + +The primary configuration sections for Indexing Engine pipelines are described below. Each configuration section can be expressed in Python (for use in Python API mode) as well as YAML, but YAML is show here for brevity. + +Using custom configuration is an advanced use-case. Most users will want to use the [Default Configuration](/posts/config/overview) instead. + +## Indexing Engine Examples + +The [examples](https://github.com/microsoft/graphrag/blob/main/examples/) directory contains several examples of how to use the indexing engine with _custom configuration_. + +Most examples include two different forms of running the pipeline, both are contained in the examples `run.py` + +1. Using mostly the Python API +2. Using mostly the a pipeline configuration file + +To run an example: + +- Run `poetry shell` to activate a virtual environment with the required dependencies. +- Run `PYTHONPATH="$(pwd)" python examples/path_to_example/run.py` from the `root` directory. + +For example to run the single_verb example, you would run the following commands: + +```bash +poetry shell +``` + +```sh +PYTHONPATH="$(pwd)" python examples/single_verb/run.py +``` + +# Configuration Sections + +# > extends + +This configuration allows you to extend a base configuration file or files. + +```yaml +# single base +extends: ../base_config.yml +``` + +```yaml +# multiple bases +extends: + - ../base_config.yml + - ../base_config2.yml +``` + +# > root_dir + +This configuration allows you to set the root directory for the pipeline. All data inputs and outputs are assumed to be relative to this path. + +```yaml +root_dir: /workspace/data_project +``` + +# > storage + +This configuration allows you define the output strategy for the pipeline. + +- `type`: The type of storage to use. Options are `file`, `memory`, and `blob` +- `base_dir` (`type: file` only): The base directory to store the data in. This is relative to the config root. +- `connection_string` (`type: blob` only): The connection string to use for blob storage. +- `container_name` (`type: blob` only): The container to use for blob storage. + +# > cache + +This configuration allows you define the cache strategy for the pipeline. + +- `type`: The type of cache to use. Options are `file` and `memory`, and `blob`. +- `base_dir` (`type: file` only): The base directory to store the cache in. This is relative to the config root. +- `connection_string` (`type: blob` only): The connection string to use for blob storage. +- `container_name` (`type: blob` only): The container to use for blob storage. + +# > reporting + +This configuration allows you define the reporting strategy for the pipeline. Report files are generated artifacts that summarize the performance metrics of the pipeline and emit any error messages. + +- `type`: The type of reporting to use. Options are `file`, `memory`, and `blob` +- `base_dir` (`type: file` only): The base directory to store the reports in. This is relative to the config root. +- `connection_string` (`type: blob` only): The connection string to use for blob storage. +- `container_name` (`type: blob` only): The container to use for blob storage. + +# > workflows + +This configuration section defines the workflow DAG for the pipeline. Here we define an array of workflows and express their inter-dependencies in steps: + +- `name`: The name of the workflow. This is used to reference the workflow in other parts of the config. +- `steps`: The DataShaper steps that this workflow comprises. If a step defines an input in the form of `workflow:`, then it is assumed to have a dependency on the output of that workflow. + +```yaml +workflows: + - name: workflow1 + steps: + - verb: derive + args: + column1: "col1" + column2: "col2" + - name: workflow2 + steps: + - verb: derive + args: + column1: "col1" + column2: "col2" + input: + # dependency established here + source: workflow:workflow1 +``` + +# > input + +- `type`: The type of input to use. Options are `file` or `blob`. +- `file_type`: The file type field discriminates between the different input types. Options are `csv` and `text`. +- `base_dir`: The base directory to read the input files from. This is relative to the config file. +- `file_pattern`: A regex to match the input files. The regex must have named groups for each of the fields in the file_filter. +- `post_process`: A DataShaper workflow definition to apply to the input before executing the primary workflow. +- `source_column` (`type: csv` only): The column containing the source/author of the data +- `text_column` (`type: csv` only): The column containing the text of the data +- `timestamp_column` (`type: csv` only): The column containing the timestamp of the data +- `timestamp_format` (`type: csv` only): The format of the timestamp + +```yaml +input: + type: file + file_type: csv + base_dir: ../data/csv # the directory containing the CSV files, this is relative to the config file + file_pattern: '.*[\/](?P[^\/]+)[\/](?P\d{4})-(?P\d{2})-(?P\d{2})_(?P[^_]+)_\d+\.csv$' # a regex to match the CSV files + # An additional file filter which uses the named groups from the file_pattern to further filter the files + # file_filter: + # # source: (source_filter) + # year: (2023) + # month: (06) + # # day: (22) + source_column: "author" # the column containing the source/author of the data + text_column: "message" # the column containing the text of the data + timestamp_column: "date(yyyyMMddHHmmss)" # optional, the column containing the timestamp of the data + timestamp_format: "%Y%m%d%H%M%S" # optional, the format of the timestamp + post_process: # Optional, set of steps to process the data before going into the workflow + - verb: filter + args: + column: "title", + value: "My document" +``` + +```yaml +input: + type: file + file_type: csv + base_dir: ../data/csv # the directory containing the CSV files, this is relative to the config file + file_pattern: '.*[\/](?P[^\/]+)[\/](?P\d{4})-(?P\d{2})-(?P\d{2})_(?P[^_]+)_\d+\.csv$' # a regex to match the CSV files + # An additional file filter which uses the named groups from the file_pattern to further filter the files + # file_filter: + # # source: (source_filter) + # year: (2023) + # month: (06) + # # day: (22) + post_process: # Optional, set of steps to process the data before going into the workflow + - verb: filter + args: + column: "title", + value: "My document" +``` diff --git a/docsite/posts/config/env_vars.md b/docsite/posts/config/env_vars.md new file mode 100644 index 00000000..a7256ee9 --- /dev/null +++ b/docsite/posts/config/env_vars.md @@ -0,0 +1,217 @@ +--- +title: Default Configuration Mode (using Env Vars) +navtitle: Using Env Vars +tags: [post] +layout: page +date: 2023-01-03 +--- + +## Text-Embeddings Customization + +By default, the GraphRAG indexer will only emit embeddings required for our query methods. However, the model has embeddings defined for all plaintext fields, and these can be generated by setting the `GRAPHRAG_EMBEDDING_TARGET` environment variable to `all`. + +If the embedding target is `all`, and you want to only embed a subset of these fields, you may specify which embeddings to skip using the `GRAPHRAG_EMBEDDING_SKIP` argument described below. + +### Embedded Fields + +- `text_unit.text` +- `document.raw_content` +- `entity.name` +- `entity.description` +- `relationship.description` +- `community.title` +- `community.summary` +- `community.full_content` + +## Input Data + +Our pipeline can ingest .csv or .txt data from an input folder. These files can be nested within subfolders. To configure how input data is handled, what fields are mapped over, and how timestamps are parsed, look for configuration values starting with `GRAPHRAG_INPUT_` below. In general, CSV-based data provides the most customizeability. Each CSV should at least contain a `text` field (which can be mapped with environment variables), but it's helpful if they also have `title`, `timestamp`, and `source` fields. Additional fields can be included as well, which will land as extra fields on the `Document` table. + +## Base LLM Settings + +These are the primary settings for configuring LLM connectivity. + +| Parameter | Required? | Description | Type | Default Value | +| --------------------------- | ------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------- | ----- | ------------- | +| `GRAPHRAG_API_KEY` | **Yes for OpenAI. Optional for AOAI** | The API key. (Note: `OPENAI_API_KEY is also used as a fallback). If not defined when using AOAI, managed identity will be used. | `str` | `None` | +| `GRAPHRAG_API_BASE` | **For AOAI** | The API Base URL | `str` | `None` | +| `GRAPHRAG_API_VERSION` | **For AOAI** | The AOAI API version. | `str` | `None` | +| `GRAPHRAG_API_ORGANIZATION` | | The AOAI organization. | `str` | `None` | +| `GRAPHRAG_API_PROXY` | | The AOAI proxy. | `str` | `None` | + +## Text Generation Settings + +These settings control the text generation model used by the pipeline. Any settings with a fallback will use the base LLM settings, if available. + +| Parameter | Required? | Description | Type | Default Value | +| ------------------------------------------------- | ------------------------ | ------------------------------------------------------------------------------ | ------- | --------------------- | +| `GRAPHRAG_LLM_TYPE` | **For AOAI** | The LLM operation type. Either `openai_chat` or `azure_openai_chat` | `str` | `openai_chat` | +| `GRAPHRAG_LLM_DEPLOYMENT_NAME` | **For AOAI** | The AOAI model deployment name. | `str` | `None` | +| `GRAPHRAG_LLM_API_KEY` | Yes (uses fallback) | The API key. If not defined when using AOAI, managed identity will be used. | `str` | `None` | +| `GRAPHRAG_LLM_API_BASE` | For AOAI (uses fallback) | The API Base URL | `str` | `None` | +| `GRAPHRAG_LLM_API_VERSION` | For AOAI (uses fallback) | The AOAI API version. | `str` | `None` | +| `GRAPHRAG_LLM_API_ORGANIZATION` | For AOAI (uses fallback) | The AOAI organization. | `str` | `None` | +| `GRAPHRAG_LLM_API_PROXY` | | The AOAI proxy. | `str` | `None` | +| `GRAPHRAG_LLM_MODEL` | | The LLM model. | `str` | `gpt-4-turbo-preview` | +| `GRAPHRAG_LLM_MAX_TOKENS` | | The maximum number of tokens. | `int` | `4000` | +| `GRAPHRAG_LLM_REQUEST_TIMEOUT` | | The maximum number of seconds to wait for a response from the chat client. | `int` | `180` | +| `GRAPHRAG_LLM_MODEL_SUPPORTS_JSON` | | Indicates whether the given model supports JSON output mode. `True` to enable. | `str` | `None` | +| `GRAPHRAG_LLM_THREAD_COUNT` | | The number of threads to use for LLM parallelization. | `int` | 50 | +| `GRAPHRAG_LLM_THREAD_STAGGER` | | The time to wait (in seconds) between starting each thread. | `float` | 0.3 | +| `GRAPHRAG_LLM_CONCURRENT_REQUESTS` | | The number of concurrent requests to allow for the embedding client. | `int` | 25 | +| `GRAPHRAG_LLM_TPM` | | The number of tokens per minute to allow for the LLM client. 0 = Bypass | `int` | 0 | +| `GRAPHRAG_LLM_RPM` | | The number of requests per minute to allow for the LLM client. 0 = Bypass | `int` | 0 | +| `GRAPHRAG_LLM_MAX_RETRIES` | | The maximum number of retries to attempt when a request fails. | `int` | 10 | +| `GRAPHRAG_LLM_MAX_RETRY_WAIT` | | The maximum number of seconds to wait between retries. | `int` | 10 | +| `GRAPHRAG_LLM_SLEEP_ON_RATE_LIMIT_RECOMMENDATION` | | Whether to sleep on rate limit recommendation. (Azure Only) | `bool` | `True` | + +## Text Embedding Settings + +These settings control the text embedding model used by the pipeline. Any settings with a fallback will use the base LLM settings, if available. + +| Parameter | Required ? | Description | Type | Default | +| ------------------------------------------------------- | ------------------------ | -------------------------------------------------------------------------------------------------------------------------- | ------- | ------------------------ | +| `GRAPHRAG_EMBEDDING_TYPE` | **For AOAI** | The embedding client to use. Either `openai_embedding` or `azure_openai_embedding` | `str` | `openai_embedding` | +| `GRAPHRAG_EMBEDDING_DEPLOYMENT_NAME` | **For AOAI** | The AOAI deployment name. | `str` | `None` | +| `GRAPHRAG_EMBEDDING_API_KEY` | Yes (uses fallback) | The API key to use for the embedding client. If not defined when using AOAI, managed identity will be used. | `str` | `None` | +| `GRAPHRAG_EMBEDDING_API_BASE` | For AOAI (uses fallback) | The API base URL. | `str` | `None` | +| `GRAPHRAG_EMBEDDING_API_VERSION` | For AOAI (uses fallback) | The AOAI API version to use for the embedding client. | `str` | `None` | +| `GRAPHRAG_EMBEDDING_API_ORGANIZATION` | For AOAI (uses fallback) | The AOAI organization to use for the embedding client. | `str` | `None` | +| `GRAPHRAG_EMBEDDING_API_PROXY` | | The AOAI proxy to use for the embedding client. | `str` | `None` | +| `GRAPHRAG_EMBEDDING_MODEL` | | The model to use for the embedding client. | `str` | `text-embedding-3-small` | +| `GRAPHRAG_EMBEDDING_BATCH_SIZE` | | The number of texts to embed at once. [(Azure limit is 16)](https://learn.microsoft.com/en-us/azure/ai-ce) | `int` | 16 | +| `GRAPHRAG_EMBEDDING_BATCH_MAX_TOKENS` | | The maximum tokens per batch [(Azure limit is 8191)](https://learn.microsoft.com/en-us/azure/ai-services/openai/reference) | `int` | 8191 | +| `GRAPHRAG_EMBEDDING_TARGET` | | The target fields to embed. Either `required` or `all`. | `str` | `required` | +| `GRAPHRAG_EMBEDDING_SKIP` | | A comma-separated list of fields to skip embeddings for . (e.g. 'relationship.description') | `str` | `None` | +| `GRAPHRAG_EMBEDDING_THREAD_COUNT` | | The number of threads to use for parallelization for embeddings. | `int` | | +| `GRAPHRAG_EMBEDDING_THREAD_STAGGER` | | The time to wait (in seconds) between starting each thread for embeddings. | `float` | 50 | +| `GRAPHRAG_EMBEDDING_CONCURRENT_REQUESTS` | | The number of concurrent requests to allow for the embedding client. | `int` | 25 | +| `GRAPHRAG_EMBEDDING_TPM` | | The number of tokens per minute to allow for the embedding client. 0 = Bypass | `int` | 0 | +| `GRAPHRAG_EMBEDDING_RPM` | | The number of requests per minute to allow for the embedding client. 0 = Bypass | `int` | 0 | +| `GRAPHRAG_EMBEDDING_MAX_RETRIES` | | The maximum number of retries to attempt when a request fails. | `int` | 10 | +| `GRAPHRAG_EMBEDDING_MAX_RETRY_WAIT` | | The maximum number of seconds to wait between retries. | `int` | 10 | +| `GRAPHRAG_EMBEDDING_TARGET` | | The target fields to embed. Either `required` or `all`. | `str` | `required` | +| `GRAPHRAG_EMBEDDING_SLEEP_ON_RATE_LIMIT_RECOMMENDATION` | | Whether to sleep on rate limit recommendation. (Azure Only) | `bool` | `True` | + +## Input Settings + +These settings control the data input used by the pipeline. Any settings with a fallback will use the base LLM settings, if available. + +### Plaintext Input Data (`GRAPHRAG_INPUT_FILE_TYPE`=text) + +| Parameter | Description | Type | Required or Optional | Default | +| ----------------------------- | --------------------------------------------------------------------------------- | ----- | -------------------- | ---------- | +| `GRAPHRAG_INPUT_FILE_PATTERN` | The file pattern regexp to use when reading input files from the input directory. | `str` | optional | `.*\.txt$` | + +### CSV Input Data (`GRAPHRAG_INPUT_FILE_TYPE`=csv) + +| Parameter | Description | Type | Required or Optional | Default | +| ------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ----- | -------------------- | ---------- | +| `GRAPHRAG_INPUT_TYPE` | The input storage type to use when reading files. (`file` or `blob`) | `str` | optional | `file` | +| `GRAPHRAG_INPUT_FILE_PATTERN` | The file pattern regexp to use when reading input files from the input directory. | `str` | optional | `.*\.txt$` | +| `GRAPHRAG_INPUT_SOURCE_COLUMN` | The 'source' column to use when reading CSV input files. | `str` | optional | `source` | +| `GRAPHRAG_INPUT_TIMESTAMP_COLUMN` | The 'timestamp' column to use when reading CSV input files. | `str` | optional | `None` | +| `GRAPHRAG_INPUT_TIMESTAMP_FORMAT` | The timestamp format to use when parsing timestamps in the timestamp column. | `str` | optional | `None` | +| `GRAPHRAG_INPUT_TEXT_COLUMN` | The 'text' column to use when reading CSV input files. | `str` | optional | `text` | +| `GRAPHRAG_INPUT_DOCUMENT_ATTRIBUTE_COLUMNS` | A list of CSV columns, comma-separated, to incorporate as document fields. | `str` | optional | `id` | +| `GRAPHRAG_INPUT_TITLE_COLUMN` | The 'title' column to use when reading CSV input files. | `str` | optional | `title` | +| `GRAPHRAG_INPUT_STORAGE_ACCOUNT_BLOB_URL` | The Azure Storage blob endpoint to use when in `blob` mode and using managed identity. Will have the format `https://.blob.core.windows.net` | `str` | optional | `None` | +| `GRAPHRAG_INPUT_CONNECTION_STRING` | The connection string to use when reading CSV input files from Azure Blob Storage. | `str` | optional | `None` | +| `GRAPHRAG_INPUT_CONTAINER_NAME` | The container name to use when reading CSV input files from Azure Blob Storage. | `str` | optional | `None` | +| `GRAPHRAG_INPUT_BASE_DIR` | The base directory to read input files from. | `str` | optional | `None` | + +## Data Mapping Settings + +| Parameter | Description | Type | Required or Optional | Default | +| -------------------------- | -------------------------------------------------------- | ----- | -------------------- | ------- | +| `GRAPHRAG_INPUT_FILE_TYPE` | The type of input data, `csv` or `text` | `str` | optional | `text` | +| `GRAPHRAG_INPUT_ENCODING` | The encoding to apply when reading CSV/text input files. | `str` | optional | `utf-8` | + +## Data Chunking + +| Parameter | Description | Type | Required or Optional | Default | +| --------------------------- | ------------------------------------------------------------------------------------------- | ----- | -------------------- | ------- | +| `GRAPHRAG_CHUNK_SIZE` | The chunk size in tokens for text-chunk analysis windows. | `str` | optional | 300 | +| `GRAPHRAG_CHUNK_OVERLAP` | The chunk overlap in tokens for text-chunk analysis windows. | `str` | optional | 100 | +| `GRAPHRAG_CHUNK_BY_COLUMNS` | A comma-separated list of document attributes to groupby when performing TextUnit chunking. | `str` | optional | `id` | + +## Prompting Overrides + +| Parameter | Description | Type | Required or Optional | Default | +| --------------------------------------------- | ------------------------------------------------------------------------------------------ | -------- | -------------------- | ---------------------------------------------------------------- | +| `GRAPHRAG_ENTITY_EXTRACTION_PROMPT_FILE` | The path (relative to the root) of an entity extraction prompt template text file. | `str` | optional | `None` | +| `GRAPHRAG_ENTITY_EXTRACTION_MAX_GLEANINGS` | The maximum number of redrives (gleanings) to invoke when extracting entities in a loop. | `int` | optional | 0 | +| `GRAPHRAG_ENTITY_EXTRACTION_ENTITY_TYPES` | A comma-separated list of entity types to extract. | `str` | optional | `organization,person,event,geo` | +| `GRAPHRAG_SUMMARIZE_DESCRIPTIONS_PROMPT_FILE` | The path (relative to the root) of an description summarization prompt template text file. | `str` | optional | `None` | +| `GRAPHRAG_SUMMARIZE_DESCRIPTIONS_MAX_LENGTH` | The maximum number of tokens to generate per description summarization. | `int` | optional | 500 | +| `GRAPHRAG_CLAIM_EXTRACTION_ENABLED` | Whether claim extraction is enabled for this pipeline. | `bool` | optional | `False` | +| `GRAPHRAG_CLAIM_EXTRACTION_DESCRIPTION` | The claim_description prompting argument to utilize. | `string` | optional | "Any claims or facts that could be relevant to threat analysis." | +| `GRAPHRAG_CLAIM_EXTRACTION_PROMPT_FILE` | The claim extraction prompt to utilize. | `string` | optional | `None` | +| `GRAPHRAG_CLAIM_EXTRACTION_MAX_GLEANINGS` | The maximum number of redrives (gleanings) to invoke when extracting claims in a loop. | `int` | optional | 0 | +| `GRAPHRAG_COMMUNITY_REPORT_PROMPT_FILE` | The community report extraction prompt to utilize. | `string` | optional | `None` | +| `GRAPHRAG_COMMUNITY_REPORT_MAX_LENGTH` | The maximum number of tokens to generate per community report. | `int` | optional | 1500 | + +## Storage + +This section controls the storage mechanism used by the pipeline used for emitting output tables. + +| Parameter | Description | Type | Required or Optional | Default | +| ------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ----- | -------------------- | ------- | +| `GRAPHRAG_STORAGE_TYPE` | The type of reporter to use. Options are `file`, `memory`, or `blob` | `str` | optional | `file` | +| `GRAPHRAG_STORAGE_STORAGE_ACCOUNT_BLOB_URL` | The Azure Storage blob endpoint to use when in `blob` mode and using managed identity. Will have the format `https://.blob.core.windows.net` | `str` | optional | None | +| `GRAPHRAG_STORAGE_CONNECTION_STRING` | The Azure Storage connection string to use when in `blob` mode. | `str` | optional | None | +| `GRAPHRAG_STORAGE_CONTAINER_NAME` | The Azure Storage container name to use when in `blob` mode. | `str` | optional | None | +| `GRAPHRAG_STORAGE_BASE_DIR` | The base path to data outputs outputs. | `str` | optional | None | + +## Cache + +This section controls the cache mechanism used by the pipeline. This is used to cache LLM invocation results. + +| Parameter | Description | Type | Required or Optional | Default | +| ----------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ----- | -------------------- | ------- | +| `GRAPHRAG_CACHE_TYPE` | The type of cache to use. Options are `file`, `memory`, `none` or `blob` | `str` | optional | `file` | +| `GRAPHRAG_CACHE_STORAGE_ACCOUNT_BLOB_URL` | The Azure Storage blob endpoint to use when in `blob` mode and using managed identity. Will have the format `https://.blob.core.windows.net` | `str` | optional | None | +| `GRAPHRAG_CACHE_CONNECTION_STRING` | The Azure Storage connection string to use when in `blob` mode. | `str` | optional | None | +| `GRAPHRAG_CACHE_CONTAINER_NAME` | The Azure Storage container name to use when in `blob` mode. | `str` | optional | None | +| `GRAPHRAG_CACHE_BASE_DIR` | The base path to the reporting outputs. | `str` | optional | None | + +## Reporting + +This section controls the reporting mechanism used by the pipeline, for common events and error messages. The default is to write reports to a file in the output directory. However, you can also choose to write reports to the console or to an Azure Blob Storage container. + +| Parameter | Description | Type | Required or Optional | Default | +| --------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ----- | -------------------- | ------- | +| `GRAPHRAG_REPORTING_TYPE` | The type of reporter to use. Options are `file`, `console`, or `blob` | `str` | optional | `file` | +| `GRAPHRAG_REPORTING_STORAGE_ACCOUNT_BLOB_URL` | The Azure Storage blob endpoint to use when in `blob` mode and using managed identity. Will have the format `https://.blob.core.windows.net` | `str` | optional | None | +| `GRAPHRAG_REPORTING_CONNECTION_STRING` | The Azure Storage connection string to use when in `blob` mode. | `str` | optional | None | +| `GRAPHRAG_REPORTING_CONTAINER_NAME` | The Azure Storage container name to use when in `blob` mode. | `str` | optional | None | +| `GRAPHRAG_REPORTING_BASE_DIR` | The base path to the reporting outputs. | `str` | optional | None | + +## Node2Vec Parameters + +| Parameter | Description | Type | Required or Optional | Default | +| ------------------------------- | ---------------------------------------- | ------ | -------------------- | ------- | +| `GRAPHRAG_NODE2VEC_ENABLED` | Whether to enable Node2Vec | `bool` | optional | False | +| `GRAPHRAG_NODE2VEC_NUM_WALKS` | The Node2Vec number of walks to perform | `int` | optional | 10 | +| `GRAPHRAG_NODE2VEC_WALK_LENGTH` | The Node2Vec walk length | `int` | optional | 40 | +| `GRAPHRAG_NODE2VEC_WINDOW_SIZE` | The Node2Vec window size | `int` | optional | 2 | +| `GRAPHRAG_NODE2VEC_ITERATIONS` | The number of iterations to run node2vec | `int` | optional | 3 | +| `GRAPHRAG_NODE2VEC_RANDOM_SEED` | The random seed to use for node2vec | `int` | optional | 597832 | + +## Data Snapshotting + +| Parameter | Description | Type | Required or Optional | Default | +| ----------------------------------- | ------------------------------------------- | ------ | -------------------- | ------- | +| `GRAPHRAG_SNAPSHOT_GRAPHML` | Whether to enable GraphML snapshots. | `bool` | optional | False | +| `GRAPHRAG_SNAPSHOT_RAW_ENTITIES` | Whether to enable raw entity snapshots. | `bool` | optional | False | +| `GRAPHRAG_SNAPSHOT_TOP_LEVEL_NODES` | Whether to enable top-level node snapshots. | `bool` | optional | False | + +# Miscellaneous Settings + +| Parameter | Description | Type | Required or Optional | Default | +| --------------------------- | --------------------------------------------------------------------- | ------ | -------------------- | ------------- | +| `GRAPHRAG_ASYNC_MODE` | Which async mode to use. Either `asyncio` or `threaded`. | `str` | optional | `asyncio` | +| `GRAPHRAG_ENCODING_MODEL` | The text encoding model, used in tiktoken, to encode text. | `str` | optional | `cl100k_base` | +| `GRAPHRAG_MAX_CLUSTER_SIZE` | The maximum number of entities to include in a single Leiden cluster. | `int` | optional | 10 | +| `GRAPHRAG_SKIP_WORKFLOWS` | A comma-separated list of workflow names to skip. | `str` | optional | `None` | +| `GRAPHRAG_UMAP_ENABLED` | Whether to enable UMAP layouts | `bool` | optional | False | diff --git a/docsite/posts/config/init.md b/docsite/posts/config/init.md new file mode 100644 index 00000000..afaa5712 --- /dev/null +++ b/docsite/posts/config/init.md @@ -0,0 +1,38 @@ +--- +title: Configuring GraphRAG Indexing +navtitle: Init Command +tags: [post] +layout: page +date: 2023-01-03 +--- + +To start using GraphRAG, you need to configure the system. The `init` command is the easiest way to get started. It will create a `.env` and `settings.yaml` files in the specified directory with the necessary configuration settings. It will also output the default LLM prompts used by GraphRAG. + +## Usage + +```sh +python -m graphrag.index [--init] [--root PATH] +``` + +## Options + +- `--init` - Initialize the directory with the necessary configuration files. +- `--root PATH` - The root directory to initialize. Default is the current directory. + +## Example + +```sh +python -m graphrag.index --init --root ./ragtest +``` + +## Output + +The `init` command will create the following files in the specified directory: + +- `settings.yaml` - The configuration settings file. This file contains the configuration settings for GraphRAG. +- `.env` - The environment variables file. These are referenced in the `settings.yaml` file. +- `prompts/` - The LLM prompts folder. This contains the default prompts used by GraphRAG, you can modify them or run the [Auto Prompt Tuning](/posts/prompt_tuning/auto_prompt_tuning) command to generate new prompts adapted to your data. + +## Next Steps + +After initializing your workspace, you can either run the [Prompt Tuning](/posts/prompt_tuning/auto_prompt_tuning) command to adapt the prompts to your data or even start running the [Indexing Pipeline](/posts/index/overview) to index your data. For more information on configuring GraphRAG, see the [Configuration](/posts/config/overview) documentation. diff --git a/docsite/posts/config/json_yaml.md b/docsite/posts/config/json_yaml.md new file mode 100644 index 00000000..a9bb4464 --- /dev/null +++ b/docsite/posts/config/json_yaml.md @@ -0,0 +1,221 @@ +--- +title: Default Configuration Mode (using JSON/YAML) +navtitle: Using JSON or YAML +tags: [post] +layout: page +date: 2023-01-03 +--- + +The default configuration mode may be configured by using a `config.json` or `config.yml` file in the data project root. If a `.env` file is present along with this config file, then it will be loaded, and the environment variables defined therein will be available for token replacements in your configuration document using `${ENV_VAR}` syntax. + +For example: + +``` +# .env +API_KEY=some_api_key + +# config.json +{ + "llm": { + "api_key": "${API_KEY}" + } +} +``` + +# Config Sections + +## input + +### Fields + +- `type` **file|blob** - The input type to use. Default=`file` +- `file_type` **text|csv** - The type of input data to load. Either `text` or `csv`. Default is `text` +- `file_encoding` **str** - The encoding of the input file. Default is `utf-8` +- `file_pattern` **str** - A regex to match input files. Default is `.*\.csv$` if in csv mode and `.*\.txt$` if in text mode. +- `source_column` **str** - (CSV Mode Only) The source column name. +- `timestamp_column` **str** - (CSV Mode Only) The timestamp column name. +- `timestamp_format` **str** - (CSV Mode Only) The source format. +- `text_column` **str** - (CSV Mode Only) The text column name. +- `title_column` **str** - (CSV Mode Only) The title column name. +- `document_attribute_columns` **list[str]** - (CSV Mode Only) The additional document attributes to include. +- `connection_string` **str** - (blob only) The Azure Storage connection string. +- `container_name` **str** - (blob only) The Azure Storage container name. +- `base_dir` **str** - The base directory to read input from, relative to the root. +- `storage_account_blob_url` **str** - The storage account blob URL to use. + +## llm + +This is the base LLM configuration section. Other steps may override this configuration with their own LLM configuration. + +### Fields + +- `api_key` **str** - The OpenAI API key to use. +- `type` **openai_chat|azure_openai_chat|openai_embedding|azure_openai_embedding** - The type of LLM to use. +- `model` **str** - The model name. +- `max_tokens` **int** - The maximum number of output tokens. +- `request_timeout` **float** - The per-request timeout. +- `api_base` **str** - The API base url to use. +- `api_version` **str** - The API version +- `organization` **str** - The client organization. +- `proxy` **str** - The proxy URL to use. +- `cognitive_services_endpoint` **str** - The url endpoint for cognitive services. +- `deployment_name` **str** - The deployment name to use (Azure). +- `model_supports_json` **bool** - Whether the model supports JSON-mode output. +- `tokens_per_minute` **int** - Set a leaky-bucket throttle on tokens-per-minute. +- `requests_per_minute` **int** - Set a leaky-bucket throttle on requests-per-minute. +- `max_retries` **int** - The maximum number of retries to use. +- `max_retry_wait` **float** - The maximum backoff time. +- `sleep_on_rate_limit_recommendation` **bool** - Whether to adhere to sleep recommendations (Azure). +- `concurrent_requests` **int** The number of open requests to allow at once. + +## parallelization + +### Fields + +- `stagger` **float** - The threading stagger value. +- `num_threads` **int** - The maximum number of work threads. + +## async_mode + +**asyncio|threaded** The async mode to use. Either `asyncio` or `threaded. + +## embeddings + +### Fields + +- `llm` (see LLM top-level config) +- `parallelization` (see Parallelization top-level config) +- `async_mode` (see Async Mode top-level config) +- `batch_size` **int** - The maximum batch size to use. +- `batch_max_tokens` **int** - The maximum batch #-tokens. +- `target` **required|all** - Determines which set of embeddings to emit. +- `skip` **list[str]** - Which embeddings to skip. +- `strategy` **dict** - Fully override the text-embedding strategy. + +## chunks + +### Fields + +- `size` **int** - The max chunk size in tokens. +- `overlap` **int** - The chunk overlap in tokens. +- `group_by_columns` **list[str]** - group documents by fields before chunking. +- `strategy` **dict** - Fully override the chunking strategy. + +## cache + +### Fields + +- `type` **file|memory|none|blob** - The cache type to use. Default=`file` +- `connection_string` **str** - (blob only) The Azure Storage connection string. +- `container_name` **str** - (blob only) The Azure Storage container name. +- `base_dir` **str** - The base directory to write cache to, relative to the root. +- `storage_account_blob_url` **str** - The storage account blob URL to use. + +## storage + +### Fields + +- `type` **file|memory|blob** - The storage type to use. Default=`file` +- `connection_string` **str** - (blob only) The Azure Storage connection string. +- `container_name` **str** - (blob only) The Azure Storage container name. +- `base_dir` **str** - The base directory to write reports to, relative to the root. +- `storage_account_blob_url` **str** - The storage account blob URL to use. + +## reporting + +### Fields + +- `type` **file|console|blob** - The reporting type to use. Default=`file` +- `connection_string` **str** - (blob only) The Azure Storage connection string. +- `container_name` **str** - (blob only) The Azure Storage container name. +- `base_dir` **str** - The base directory to write reports to, relative to the root. +- `storage_account_blob_url` **str** - The storage account blob URL to use. + +## entity_extraction + +### Fields + +- `llm` (see LLM top-level config) +- `parallelization` (see Parallelization top-level config) +- `async_mode` (see Async Mode top-level config) +- `prompt` **str** - The prompt file to use. +- `entity_types` **list[str]** - The entity types to identify. +- `max_gleanings` **int** - The maximum number of gleaning cycles to use. +- `strategy` **dict** - Fully override the entity extraction strategy. + +## summarize_descriptions + +### Fields + +- `llm` (see LLM top-level config) +- `parallelization` (see Parallelization top-level config) +- `async_mode` (see Async Mode top-level config) +- `prompt` **str** - The prompt file to use. +- `max_length` **int** - The maximum number of output tokens per summarization. +- `strategy` **dict** - Fully override the summarize description strategy. + +## claim_extraction + +### Fields + +- `enabled` **bool** - Whether to enable claim extraction. default=False +- `llm` (see LLM top-level config) +- `parallelization` (see Parallelization top-level config) +- `async_mode` (see Async Mode top-level config) +- `prompt` **str** - The prompt file to use. +- `description` **str** - Describes the types of claims we want to extract. +- `max_gleanings` **int** - The maximum number of gleaning cycles to use. +- `strategy` **dict** - Fully override the claim extraction strategy. + +## community_reports + +### Fields + +- `llm` (see LLM top-level config) +- `parallelization` (see Parallelization top-level config) +- `async_mode` (see Async Mode top-level config) +- `prompt` **str** - The prompt file to use. +- `max_length` **int** - The maximum number of output tokens per report. +- `max_input_length` **int** - The maximum number of input tokens to use when generating reports. +- `strategy` **dict** - Fully override the community reports strategy. + +## cluster_graph + +### Fields + +- `max_cluster_size` **int** - The maximum cluster size to emit. +- `strategy` **dict** - Fully override the cluster_graph strategy. + +## embed_graph + +### Fields + +- `enabled` **bool** - Whether to enable graph embeddings. +- `num_walks` **int** - The node2vec number of walks. +- `walk_length` **int** - The node2vec walk length. +- `window_size` **int** - The node2vec window size. +- `iterations` **int** - The node2vec number of iterations. +- `random_seed` **int** - The node2vec random seed. +- `strategy` **dict** - Fully override the embed graph strategy. + +## umap + +### Fields + +- `enabled` **bool** - Whether to enable UMAP layouts. + +## snapshots + +### Fields + +- `graphml` **bool** - Emit graphml snapshots. +- `raw_entities` **bool** - Emit raw entity snapshots. +- `top_level_nodes` **bool** - Emit top-level-node snapshots. + +## encoding_model + +**str** - The text encoding model to use. Default is `cl100k_base`. + +## skip_workflows + +**list[str]** - Which workflow names to skip. diff --git a/docsite/posts/config/overview.md b/docsite/posts/config/overview.md new file mode 100644 index 00000000..ce13d41e --- /dev/null +++ b/docsite/posts/config/overview.md @@ -0,0 +1,21 @@ +--- +title: Configuring GraphRAG Indexing +navtitle: Configuration +tags: [post] +layout: page +date: 2023-01-03 +--- + +The GraphRAG system is highly configurable. This page provides an overview of the configuration options available for the GraphRAG indexing engine. + +## Default Configuration Mode + +The default configuration mode is the simplest way to get started with the GraphRAG system. It is designed to work out-of-the-box with minimal configuration. The primary configuration sections for the Indexing Engine pipelines are described below. The main ways to set up GraphRAG in Default Configuration mode are via: + +- [Init command](/posts/config/init) (recommended) +- [Purely using environment variables](/posts/config/env_vars) +- [Using JSON or YAML for deeper control](/posts/config/json_yaml) + +## Custom Configuration Mode + +Custom configuration mode is an advanced use-case. Most users will want to use the Default Configuration instead. The primary configuration sections for Indexing Engine pipelines are described below. Details about how to use custom configuration are available in the [Custom Configuration Mode](/posts/config/custom) documentation. diff --git a/docsite/posts/config/template.md b/docsite/posts/config/template.md new file mode 100644 index 00000000..80173b40 --- /dev/null +++ b/docsite/posts/config/template.md @@ -0,0 +1,174 @@ +--- +title: Configuration Template +navtitle: Configuration Template +layout: page +tags: [post] +date: 2024-04-04 +--- + +The following template can be used and stored as a `.env` in the the directory where you're are pointing +the `--root` parameter on your Indexing Pipeline execution. + +For details about how to run the Indexing Pipeline, refer to the [Index CLI](../../index/2-cli) documentation. + +## .env File Template + +Required variables are uncommented. All the optional configuration can be turned on or off as needed. + +### Minimal Configuration + +```bash +# Base LLM Settings +GRAPHRAG_API_KEY="your_api_key" +GRAPHRAG_API_BASE="http://.openai.azure.com" # For Azure OpenAI Users +GRAPHRAG_API_VERSION="api_version" # For Azure OpenAI Users + +# Text Generation Settings +GRAPHRAG_LLM_TYPE="azure_openai_chat" # or openai_chat +GRAPHRAG_LLM_DEPLOYMENT_NAME="gpt-4-turbo-preview" +GRAPHRAG_LLM_MODEL_SUPPORTS_JSON=True + +# Text Embedding Settings +GRAPHRAG_EMBEDDING_TYPE="azure_openai_embedding" # or openai_embedding +GRAPHRAG_LLM_DEPLOYMENT_NAME="text-embedding-3-small" + +# Data Mapping Settings +GRAPHRAG_INPUT_TYPE="text" + +``` + +### Full Configuration + +```bash + +# Required LLM Config + +# Input Data Configuration +GRAPHRAG_INPUT_TYPE="file" + +# Plaintext Input Data Configuration +# GRAPHRAG_INPUT_FILE_PATTERN=.*\.txt + +# Text Input Data Configuration +GRAPHRAG_INPUT_FILE_TYPE="text" +GRAPHRAG_INPUT_FILE_PATTERN=".*\.txt$" +GRAPHRAG_INPUT_SOURCE_COLUMN=source +# GRAPHRAG_INPUT_TIMESTAMP_COLUMN=None +# GRAPHRAG_INPUT_TIMESTAMP_FORMAT=None +# GRAPHRAG_INPUT_TEXT_COLUMN="text" +# GRAPHRAG_INPUT_ATTRIBUTE_COLUMNS=id +# GRAPHRAG_INPUT_TITLE_COLUMN="title" +# GRAPHRAG_INPUT_TYPE="file" +# GRAPHRAG_INPUT_CONNECTION_STRING=None +# GRAPHRAG_INPUT_CONTAINER_NAME=None +# GRAPHRAG_INPUT_BASE_DIR=None + +# Base LLM Settings +GRAPHRAG_API_KEY="your_api_key" +GRAPHRAG_API_BASE="http://.openai.azure.com" # For Azure OpenAI Users +GRAPHRAG_API_VERSION="api_version" # For Azure OpenAI Users +# GRAPHRAG_API_ORGANIZATION=None +# GRAPHRAG_API_PROXY=None + +# Text Generation Settings +# GRAPHRAG_LLM_TYPE=openai_chat +GRAPHRAG_LLM_API_KEY="your_api_key" # If GRAPHRAG_API_KEY is not set +GRAPHRAG_LLM_API_BASE="http://.openai.azure.com" # For Azure OpenAI Users and if GRAPHRAG_API_BASE is not set +GRAPHRAG_LLM_API_VERSION="api_version" # For Azure OpenAI Users and if GRAPHRAG_API_VERSION is not set +GRAPHRAG_LLM_MODEL_SUPPORTS_JSON=True # Suggested by default +# GRAPHRAG_LLM_API_ORGANIZATION=None +# GRAPHRAG_LLM_API_PROXY=None +# GRAPHRAG_LLM_DEPLOYMENT_NAME=None +# GRAPHRAG_LLM_MODEL=gpt-4-turbo-preview +# GRAPHRAG_LLM_MAX_TOKENS=4000 +# GRAPHRAG_LLM_REQUEST_TIMEOUT=180 +# GRAPHRAG_LLM_THREAD_COUNT=50 +# GRAPHRAG_LLM_THREAD_STAGGER=0.3 +# GRAPHRAG_LLM_CONCURRENT_REQUESTS=25 +# GRAPHRAG_LLM_TPM=0 +# GRAPHRAG_LLM_RPM=0 +# GRAPHRAG_LLM_MAX_RETRIES=10 +# GRAPHRAG_LLM_MAX_RETRY_WAIT=10 +# GRAPHRAG_LLM_SLEEP_ON_RATE_LIMIT_RECOMMENDATION=True + +# Text Embedding Settings +# GRAPHRAG_EMBEDDING_TYPE=openai_embedding +GRAPHRAG_EMBEDDING_API_KEY="your_api_key" # If GRAPHRAG_API_KEY is not set +GRAPHRAG_EMBEDDING_API_BASE="http://.openai.azure.com" # For Azure OpenAI Users and if GRAPHRAG_API_BASE is not set +GRAPHRAG_EMBEDDING_API_VERSION="api_version" # For Azure OpenAI Users and if GRAPHRAG_API_VERSION is not set +# GRAPHRAG_EMBEDDING_API_ORGANIZATION=None +# GRAPHRAG_EMBEDDING_API_PROXY=None +# GRAPHRAG_EMBEDDING_DEPLOYMENT_NAME=None +# GRAPHRAG_EMBEDDING_MODEL=text-embedding-3-small +# GRAPHRAG_EMBEDDING_BATCH_SIZE=16 +# GRAPHRAG_EMBEDDING_BATCH_MAX_TOKENS=8191 +# GRAPHRAG_EMBEDDING_TARGET=required +# GRAPHRAG_EMBEDDING_SKIP=None +# GRAPHRAG_EMBEDDING_THREAD_COUNT=None +# GRAPHRAG_EMBEDDING_THREAD_STAGGER=50 +# GRAPHRAG_EMBEDDING_CONCURRENT_REQUESTS=25 +# GRAPHRAG_EMBEDDING_TPM=0 +# GRAPHRAG_EMBEDDING_RPM=0 +# GRAPHRAG_EMBEDDING_MAX_RETRIES=10 +# GRAPHRAG_EMBEDDING_MAX_RETRY_WAIT=10 +# GRAPHRAG_EMBEDDING_SLEEP_ON_RATE_LIMIT_RECOMMENDATION=True + +# Data Mapping Settings +# GRAPHRAG_INPUT_ENCODING=utf-8 + +# Data Chunking +# GRAPHRAG_CHUNK_SIZE=300 +# GRAPHRAG_CHUNK_OVERLAP=100 +# GRAPHRAG_CHUNK_BY_COLUMNS=id + +# Prompting Overrides +# GRAPHRAG_ENTITY_EXTRACTION_PROMPT_FILE=None +# GRAPHRAG_ENTITY_EXTRACTION_MAX_GLEANINGS=0 +# GRAPHRAG_ENTITY_EXTRACTION_ENTITY_TYPES=organization,person,event,geo +# GRAPHRAG_SUMMARIZE_DESCRIPTIONS_PROMPT_FILE=None +# GRAPHRAG_SUMMARIZE_DESCRIPTIONS_MAX_LENGTH=500 +# GRAPHRAG_CLAIM_EXTRACTION_DESCRIPTION="Any claims or facts that could be relevant to threat analysis." +# GRAPHRAG_CLAIM_EXTRACTION_PROMPT_FILE=None +# GRAPHRAG_CLAIM_EXTRACTION_MAX_GLEANINGS=0 +# GRAPHRAG_COMMUNITY_REPORT_PROMPT_FILE=None +# GRAPHRAG_COMMUNITY_REPORT_MAX_LENGTH=1500 + +# Storage +# GRAPHRAG_STORAGE_TYPE=file +# GRAPHRAG_STORAGE_CONNECTION_STRING=None +# GRAPHRAG_STORAGE_CONTAINER_NAME=None +# GRAPHRAG_STORAGE_BASE_DIR=None + +# Cache +# GRAPHRAG_CACHE_TYPE=file +# GRAPHRAG_CACHE_CONNECTION_STRING=None +# GRAPHRAG_CACHE_CONTAINER_NAME=None +# GRAPHRAG_CACHE_BASE_DIR=None + +# Reporting +# GRAPHRAG_REPORTING_TYPE=file +# GRAPHRAG_REPORTING_CONNECTION_STRING=None +# GRAPHRAG_REPORTING_CONTAINER_NAME=None +# GRAPHRAG_REPORTING_BASE_DIR=None + +# Node2Vec Parameters +# GRAPHRAG_NODE2VEC_ENABLED=False +# GRAPHRAG_NODE2VEC_NUM_WALKS=10 +# GRAPHRAG_NODE2VEC_WALK_LENGTH=40 +# GRAPHRAG_NODE2VEC_WINDOW_SIZE=2 +# GRAPHRAG_NODE2VEC_ITERATIONS=3 +# GRAPHRAG_NODE2VEC_RANDOM_SEED=597832 + +# Data Snapshotting +# GRAPHRAG_SNAPSHOT_GRAPHML=False +# GRAPHRAG_SNAPSHOT_RAW_ENTITIES=False +# GRAPHRAG_SNAPSHOT_TOP_LEVEL_NODES=False + +# Miscellaneous Settings +# GRAPHRAG_ASYNC_MODE=asyncio +# GRAPHRAG_ENCODING_MODEL=cl100k_base +# GRAPHRAG_MAX_CLUSTER_SIZE=10 +# GRAPHRAG_ENTITY_RESOLUTION_ENABLED=False +# GRAPHRAG_SKIP_WORKFLOWS=None +# GRAPHRAG_UMAP_ENABLED=False +``` diff --git a/docsite/posts/developing.md b/docsite/posts/developing.md new file mode 100644 index 00000000..f4a83dc7 --- /dev/null +++ b/docsite/posts/developing.md @@ -0,0 +1,90 @@ +--- +title: Developing GraphRAG +navtitle: Developing +layout: page +tags: [post] +--- + +# Requirements + +| Name | Installation | Purpose | +| ------------------- | ------------------------------------------------------------ | ----------------------------------------------------------------------------------- | +| Python 3.10-3.12 | [Download](https://www.python.org/downloads/) | The library is Python-based. | +| Poetry | [Instructions](https://python-poetry.org/docs/#installation) | Poetry is used for package management and virtualenv management in Python codebases | + +# Getting Started + +## Install Dependencies + +```sh +# Install Python dependencies. +poetry install +``` + +## Execute the Indexing Engine + +```sh +poetry run poe index <...args> +``` + +## Executing Queries + +```sh +poetry run poe query <...args> +``` + +# Azurite + +Some unit and smoke tests use Azurite to emulate Azure resources. This can be started by running: + +```sh +./scripts/start-azurite.sh +``` + +or by simply running `azurite` in the terminal if already installed globally. See the [Azurite documentation](https://learn.microsoft.com/en-us/azure/storage/common/storage-use-azurite) for more information about how to install and use Azurite. + +# Lifecycle Scripts + +Our Python package utilizes Poetry to manage dependencies and [poethepoet](https://pypi.org/project/poethepoet/) to manage build scripts. + +Available scripts are: + +- `poetry run poe index` - Run the Indexing CLI +- `poetry run poe query` - Run the Query CLI +- `poetry build` - This invokes `poetry build`, which will build a wheel file and other distributable artifacts. +- `poetry run poe test` - This will execute all tests. +- `poetry run poe test_unit` - This will execute unit tests. +- `poetry run poe test_integration` - This will execute integration tests. +- `poetry run poe test_smoke` - This will execute smoke tests. +- `poetry run poe check` - This will perform a suite of static checks across the package, including: + - formatting + - documentation formatting + - linting + - security patterns + - type-checking +- `poetry run poe fix` - This will apply any available auto-fixes to the package. Usually this is just formatting fixes. +- `poetry run poe fix_unsafe` - This will apply any available auto-fixes to the package, including those that may be unsafe. +- `poetry run poe format` - Explicitly run the formatter across the package. + +## Troubleshooting + +### "RuntimeError: llvm-config failed executing, please point LLVM_CONFIG to the path for llvm-config" when running poetry install + +Make sure llvm-9 and llvm-9-dev are installed: + +`sudo apt-get install llvm-9 llvm-9-dev` + +and then in your bashrc, add + +`export LLVM_CONFIG=/usr/bin/llvm-config-9` + +### "numba/\_pymodule.h:6:10: fatal error: Python.h: No such file or directory" when running poetry install + +Make sure you have python3.10-dev installed or more generally `python-dev` + +`sudo apt-get install python3.10-dev` + +### LLM call constantly exceeds TPM, RPM or time limits + +`GRAPHRAG_LLM_THREAD_COUNT` and `GRAPHRAG_EMBEDDING_THREAD_COUNT` are both set to 50 by default. You can modify this values +to reduce concurrency. Please refer to the [Configuration Documents](../config/overview) diff --git a/docsite/posts/get_started.md b/docsite/posts/get_started.md new file mode 100644 index 00000000..f2c0e7fb --- /dev/null +++ b/docsite/posts/get_started.md @@ -0,0 +1,130 @@ +--- +title: Get Started +navtitle: Get started +layout: page +tags: [post] +--- + +## Requirements + +[Python 3.10-3.12](https://www.python.org/downloads/) + +To get started with the GraphRAG system, you have a few options: + +👉 [Use the GraphRAG Accelerator solution](https://github.com/Azure-Samples/graphrag-accelerator)
    +👉 [Install from pypi](https://pypi.org/project/graphrag/).
    +👉 [Use it from source](/posts/developing)
    + +## Quickstart + +To get started with the GraphRAG system we recommend trying the [Solution Accelerator](https://github.com/Azure-Samples/graphrag-accelerator) package. This provides a user-friendly end-to-end experience with Azure resources. + +# Top-Level Modules + +[Indexing Pipeline Overview](/posts/index/overview)
    +[Query Engine Overview](/posts/query/overview) + +# Overview + +The following is a simple end-to-end example for using the GraphRAG system. +It shows how to use the system to index some text, and then use the indexed data to answer questions about the documents. + +# Install GraphRAG + +```bash +pip install graphrag +``` + +# Running the Indexer + +Now we need to set up a data project and some initial configuration. Let's set that up. We're using the [default configuration mode](/posts/config/overview/), which you can customize as needed using a [config file](/posts/config/json_yaml/), which we recommend, or [environment variables](/posts/config/env_vars/). + +First let's get a sample dataset ready: + +```sh +mkdir -p ./ragtest/input +``` + +Now let's get a copy of A Christmas Carol by Charles Dickens from a trusted source + +```sh +curl https://www.gutenberg.org/cache/epub/24022/pg24022.txt > ./ragtest/input/book.txt +``` + +Next we'll inject some required config variables: + +## Set Up Your Workspace Variables + +First let's make sure to setup the required environment variables. For details on these environment variables, and what environment variables are available, see the [variables documentation](/posts/config/overview/). + +To initialize your workspace, let's first run the `graphrag.index --init` command. +Since we have already configured a directory named \.ragtest` in the previous step, we can run the following command: + +```sh +python -m graphrag.index --init --root ./ragtest +``` + +This will create two files: `.env` and `settings.yaml` in the `./ragtest` directory. + +- `.env` contains the environment variables required to run the GraphRAG pipeline. If you inspect the file, you'll see a single environment variable defined, + `GRAPHRAG_API_KEY=`. This is the API key for the OpenAI API or Azure OpenAI endpoint. You can replace this with your own API key. +- `settings.yaml` contains the settings for the pipeline. You can modify this file to change the settings for the pipeline. +
    + +#### OpenAI and Azure OpenAI + +To run in OpenAI mode, just make sure to update the value of `GRAPHRAG_API_KEY` in the `.env` file with your OpenAI API key. + +#### Azure OpenAI + +In addition, Azure OpenAI users should set the following variables in the settings.yaml file. To find the appropriate sections, just search for the `llm:` configuration, you should see two sections, one for the chat endpoint and one for the embeddings endpoint. Here is an example of how to configure the chat endpoint: + +```yaml +type: azure_openai_chat # Or azure_openai_embedding for embeddings +api_base: https://.openai.azure.com +api_version: 2024-02-15-preview # You can customize this for other versions +deployment_name: +``` + +- For more details about configuring GraphRAG, see the [configuration documentation](/posts/config/overview/). +- To learn more about Initialization, refer to the [Initialization documentation](/posts/config/init/). +- For more details about using the CLI, refer to the [CLI documentation](/posts/query/3-cli/). + +## Running the Indexing pipeline + +Finally we'll run the pipeline! + +```sh +python -m graphrag.index --root ./ragtest +``` + +![pipeline executing from the CLI](/img/pipeline-running.png) + +This process will take some time to run. This depends on the size of your input data, what model you're using, and the text chunk size being used (these can be configured in your `.env` file). +Once the pipeline is complete, you should see a new folder called `./ragtest/output//artifacts` with a series of parquet files. + +# Using the Query Engine + +## Running the Query Engine + +Now let's ask some questions using this dataset. + +Here is an example using Global search to ask a high-level question: + +```sh +python -m graphrag.query \ +--root ./ragtest \ +--method global \ +"What are the top themes in this story?" +``` + +Here is an example using Local search to ask a more specific question about a particular character: + +```sh +python -m graphrag.query \ +--root ./ragtest \ +--method local \ +"Who is Scrooge, and what are his main relationships?" +``` + +Please refer to [Query Engine](/posts/query/overview) docs for detailed information about how to leverage our Local and Global search mechanisms for extracting meaningful insights from data after the Indexer has wrapped up execution. diff --git a/docsite/posts/index/0-architecture.md b/docsite/posts/index/0-architecture.md new file mode 100644 index 00000000..4826bdab --- /dev/null +++ b/docsite/posts/index/0-architecture.md @@ -0,0 +1,73 @@ +--- +title: Indexing Architecture +navtitle: Architecture +tags: [post, indexing] +layout: page +date: 2023-01-01 +--- + +## Key Concepts + +### Knowledge Model + +In order to support the GraphRAG system, the outputs of the indexing engine (in the Default Configuration Mode) are aligned to a knowledge model we call the _GraphRAG Knowledge Model_. +This model is designed to be an abstraction over the underlying data storage technology, and to provide a common interface for the GraphRAG system to interact with. +In normal use-cases the outputs of the GraphRAG Indexer would be loaded into a database system, and the GraphRAG's Query Engine would interact with the database using the knowledge model data-store types. + +### DataShaper Workflows + +GraphRAG's Indexing Pipeline is built on top of our open-source library, [DataShaper](https://github.com/microsoft/datashaper). +DataShaper is a data processing library that allows users to declaratively express data pipelines, schemas, and related assets using well-defined schemas. +DataShaper has implementations in JavaScript and Python, and is designed to be extensible to other languages. + +One of the core resource types within DataShaper is a [Workflow](https://github.com/microsoft/datashaper/blob/main/javascript/schema/src/workflow/WorkflowSchema.ts). +Workflows are expressed as sequences of steps, which we call [verbs](https://github.com/microsoft/datashaper/blob/main/javascript/schema/src/workflow/verbs.ts). +Each step has a verb name and a configuration object. +In DataShaper, these verbs model relational concepts such as SELECT, DROP, JOIN, etc.. Each verb transforms an input data table, and that table is passed down the pipeline. + +```mermaid +--- +title: Sample Workflow +--- +flowchart LR + input[Input Table] --> select[SELECT] --> join[JOIN] --> binarize[BINARIZE] --> output[Output Table] +``` + +### LLM-based Workflow Steps + +GraphRAG's Indexing Pipeline implements a handful of custom verbs on top of the standard, relational verbs that our DataShaper library provides. These verbs give us the ability to augment text documents with rich, structured data using the power of LLMs such as GPT-4. We utilize these verbs in our standard workflow to extract entities, relationships, claims, community structures, and community reports and summaries. This behavior is customizable and can be extended to support many kinds of AI-based data enrichment and extraction tasks. + +### Workflow Graphs + +Because of the complexity of our data indexing tasks, we needed to be able to express our data pipeline as series of multiple, interdependent workflows. +In the GraphRAG Indexing Pipeline, each workflow may define dependencies on other workflows, effectively forming a directed acyclic graph (DAG) of workflows, which is then used to schedule processing. + +```mermaid +--- +title: Sample Workflow DAG +--- +stateDiagram-v2 + [*] --> Prepare + Prepare --> Chunk + Chunk --> ExtractGraph + Chunk --> EmbedDocuments + ExtractGraph --> GenerateReports + ExtractGraph --> EmbedGraph + EntityResolution --> EmbedGraph + EntityResolution --> GenerateReports + ExtractGraph --> EntityResolution +``` + +### Dataframe Message Format + +The primary unit of communication between workflows, and between workflow steps is an instance of `pandas.DataFrame`. +Although side-effects are possible, our goal is to be _data-centric_ and _table-centric_ in our approach to data processing. +This allows us to easily reason about our data, and to leverage the power of dataframe-based ecosystems. +Our underlying dataframe technology may change over time, but our primary goal is to support the DataShaper workflow schema while retaining single-machine ease of use and developer ergonomics. + +### LLM Caching + +The GraphRAG library was designed with LLM interactions in mind, and a common setback when working with LLM APIs is various errors errors due to network latency, throttling, etc.. +Because of these potential error cases, we've added a cache layer around LLM interactions. +When completion requests are made using the same input set (prompt and tuning parameters), we return a cached result if one exists. +This allows our indexer to be more resilient to network issues, to act idempotently, and to provide a more efficient end-user experience. diff --git a/docsite/posts/index/1-default_dataflow.md b/docsite/posts/index/1-default_dataflow.md new file mode 100644 index 00000000..1b8d135d --- /dev/null +++ b/docsite/posts/index/1-default_dataflow.md @@ -0,0 +1,218 @@ +--- +title: Indexing Dataflow +navtitle: Dataflow +layout: page +tags: [post, indexing] +date: 2023-01-02 +--- + +## The GraphRAG Knowledge Model + +The knowledge model is a specification for data outputs that conform to our data-model definition. You can find these definitions in the python/graphrag/graphrag/model folder within the GraphRAG repository. The following entity types are provided. The fields here represent the fields that are text-embedded by default. + +- `Document` - An input document into the system. These either represent individual rows in a CSV or individual .txt file. +- `TextUnit` - A chunk of text to analyze. The size of these chunks, their overlap, and whether they adhere to any data boundaries may be configured below. A common use case is to set `CHUNK_BY_COLUMNS` to `id` so that there is a 1-to-many relationship between documents and TextUnits instead of a many-to-many. +- `Entity` - An entity extracted from a TextUnit. These represent people, places, events, or some other entity-model that you provide. +- `Relationship` - A relationship between two entities. These are generated from the covariates. +- `Covariate` - Extracted claim information, which contains statements about entities which may be time-bound. +- `Community Report` - Once entities are generated, we perform hierarchical community detection on them and generate reports for each community in this hierarchy. +- `Node` - This table contains layout information for rendered graph-views of the Entities and Documents which have been embedded and clustered. + +## The Default Configuration Workflow + +Let's take a look at how the default-configuration workflow transforms text documents into the _GraphRAG Knowledge Model_. This page gives a general overview of the major steps in this process. To fully configure this workflow, check out the [configuration](/posts/config/overview/) documentation. + +```mermaid +--- +title: Dataflow Overview +--- +flowchart TB + subgraph phase1[Phase 1: Compose TextUnits] + documents[Documents] --> chunk[Chunk] + chunk --> embed[Embed] --> textUnits[Text Units] + end + subgraph phase2[Phase 2: Graph Extraction] + textUnits --> graph_extract[Entity & Relationship Extraction] + graph_extract --> graph_summarize[Entity & Relationship Summarization] + graph_summarize --> entity_resolve[Entity Resolution] + entity_resolve --> claim_extraction[Claim Extraction] + claim_extraction --> graph_outputs[Graph Tables] + end + subgraph phase3[Phase 3: Graph Augmentation] + graph_outputs --> community_detect[Community Detection] + community_detect --> graph_embed[Graph Embedding] + graph_embed --> augmented_graph[Augmented Graph Tables] + end + subgraph phase4[Phase 4: Community Summarization] + augmented_graph --> summarized_communities[Community Summarization] + summarized_communities --> embed_communities[Community Embedding] + embed_communities --> community_outputs[Community Tables] + end + subgraph phase5[Phase 5: Document Processing] + documents --> link_to_text_units[Link to TextUnits] + textUnits --> link_to_text_units + link_to_text_units --> embed_documents[Document Embedding] + embed_documents --> document_graph[Document Graph Creation] + document_graph --> document_outputs[Document Tables] + end + subgraph phase6[Phase 6: Network Visualization] + document_outputs --> umap_docs[Umap Documents] + augmented_graph --> umap_entities[Umap Entities] + umap_docs --> combine_nodes[Nodes Table] + umap_entities --> combine_nodes + end +``` + +## Phase 1: Compose TextUnits + +The first phase of the default-configuration workflow is to transform input documents into _TextUnits_. A _TextUnit_ is a chunk of text that is used for our graph extraction techniques. They are also used as source-references by extracted knowledge items in order to empower breadcrumbs and provenance by concepts back to their original source tex. + +The chunk size (counted in tokens), is user-configurable. By default this is set to 300 tokens, although we've had positive experience with 1200-token chunks using a single "glean" step. (A "glean" step is a follow-on extraction). Larger chunks result in lower-fidelity output and less meaningful reference texts; however, using larger chunks can result in much faster processing time. + +The group-by configuration is also user-configurable. By default, we align our chunks to document boundaries, meaning that there is a strict 1-to-many relationship between Documents and TextUnits. In rare cases, this can be turned into a many-to-many relationship. This is useful when the documents are very short and we need several of them to compose a meaningful analysis unit (e.g. Tweets or a chat log) + +Each of these text-units are text-embedded and passed into the next phase of the pipeline. + +```mermaid +--- +title: Documents into Text Chunks +--- +flowchart LR + doc1[Document 1] --> tu1[TextUnit 1] + doc1 --> tu2[TextUnit 2] + doc2[Document 2] --> tu3[TextUnit 3] + doc2 --> tu4[TextUnit 4] + +``` + +## Phase 2: Graph Extraction + +In this phase, we analyze each text unit and extract our graph primitives: _Entities_, _Relationships_, and _Claims_. +Entities and Relationships are extracted at once in our _entity_extract_ verb, and claims are extracted in our _claim_extract_ verb. Results are then combined and passed into following phases of the pipeline. + +```mermaid +--- +title: Graph Extraction +--- +flowchart LR + tu[TextUnit] --> ge[Graph Extraction] --> gs[Graph Summarization] --> er[Entity Resolution] + tu --> ce[Claim Extraction] +``` + +### Entity & Relationship Extraction + +In this first step of graph extraction, we process each text-unit in order to extract entities and relationships out of the raw text using the LLM. The output of this step is a subgraph-per-TextUnit containing a list of **entities** with a _name_, _type_, and _description_, and a list of **relationships** with a _source_, _target_, and _description_. + +These subgraphs are merged together - any entities with the same _name_ and _type_ are merged by creating an array of their descriptions. Similarly, any relationships with the same _source_ and _target_ are merged by creating an array of their descriptions. + +### Entity & Relationship Summarization + +Now that we have a graph of entities and relationships, each with a list of descriptions, we can summarize these lists into a single description per entity and relationship. This is done by asking the LLM for a short summary that captures all of the distinct information from each description. This allows all of our entities and relationships to have a single concise description. + +### Entity Resolution (Not Enabled by Default) + +The final step of graph extraction is to resolve any entities that represent the same real-world entity but but have different names. Since this is done via LLM, and we don't want to lose information, we want to take a conservative, non-destructive approach to this. + +Our current implementation of Entity Resolution, however, is destructive. It will provide the LLM with a series of entities and ask it to determine which ones should be merged. Those entities are then merged together into a single entity and their relationships are updated. + +We are currently exploring other entity resolution techniques. In the near future, entity resolution will be executed by creating an edge between entity variants indicating that the entities have been resolved by the indexing engine. This will allow for end-users to undo indexing-side resolutions, and add their own non-destructive resolutions using a similar process. + +### Claim Extraction & Emission + +Finally, as an independent workflow, we extract claims from the source TextUnits. These claims represent positive factual statements with an evaluated status and time-bounds. These are emitted as a primary artifact called **Covariates**. + +## Phase 3: Graph Augmentation + +Now that we have a usable graph of entities and relationships, we want to understand their community structure and augment the graph with additional information. This is done in two steps: _Community Detection_ and _Graph Embedding_. These give us explicit (communities) and implicit (embeddings) ways of understanding the topological structure of our graph. + +```mermaid +--- +title: Graph Augmentation +--- +flowchart LR + cd[Leiden Hierarchical Community Detection] --> ge[Node2Vec Graph Embedding] --> ag[Graph Table Emission] +``` + +### Community Detection + +In this step, we generate a hierarchy of entity communities using the Hierarchical Leiden Algorithm. This method will apply a recursive community-clustering to our graph until we reach a community-size threshold. This will allow us to understand the community structure of our graph and provide a way to navigate and summarize the graph at different levels of granularity. + +### Graph Embedding + +In this step, we generate a vector representation of our graph using the Node2Vec algorithm. This will allow us to understand the implicit structure of our graph and provide an additional vector-space in which to search for related concepts during our query phase. + +### Graph Tables Emission + +Once our graph augmentation steps are complete, the final **Entities** and **Relationships** tables are emitted after their text fields are text-embedded. + +## Phase 4: Community Summarization + +```mermaid +--- +title: Community Summarization +--- +flowchart LR + sc[Generate Community Reports] --> ss[Summarize Community Reports] --> ce[Community Embedding] --> co[Community Tables Emission] +``` + +At this point, we have a functional graph of entities and relationships, a hierarchy of communities for the entities, as well as node2vec embeddings. + +Now we want to build on the communities data and generate reports for each community. This gives us a high-level understanding of the graph at several points of graph granularity. For example, if community A is the top-level community, we'll get a report about the entire graph. If the community is lower-level, we'll get a report about a local cluster. + +### Generate Community Reports + +In this step, we generate a summary of each community using the LLM. This will allow us to understand the distinct information contained within each community and provide a scoped understanding of the graph, from either a high-level or a low-level perspective. These reports contain an executive overview and reference the key entities, relationships, and claims within the community sub-structure. + +### Summarize Community Reports + +In this step, each _community report_ is then summarized via the LLM for shorthand use. + +### Community Embedding + +In this step, we generate a vector representation of our communities by generating text embeddings of the community report, the community report summary, and the title of the community report. + +### Community Tables Emission + +At this point, some bookkeeping work is performed and we emit the **Communities** and **CommunityReports** tables. + +## Phase 5: Document Processing + +In this phase of the workflow, we create the _Documents_ table for the knowledge model. + +```mermaid +--- +title: Document Processing +--- +flowchart LR + aug[Augment] --> dp[Link to TextUnits] --> de[Avg. Embedding] --> dg[Document Table Emission] +``` + +### Augment with Columns (CSV Only) + +If the workflow is operating on CSV data, you may configure your workflow to add additional fields to Documents output. These fields should exist on the incoming CSV tables. Details about configuring this can be found in the [configuration documentation](/posts/config/overview/). + +### Link to TextUnits + +In this step, we link each document to the text-units that were created in the first phase. This allows us to understand which documents are related to which text-units and vice-versa. + +### Document Embedding + +In this step, we generate a vector representation of our documents using an average embedding of document slices. We re-chunk documents without overlapping chunks, and then generate an embedding for each chunk. We create an average of these chunks weighted by token-count and use this as the document embedding. This will allow us to understand the implicit relationship between documents, and will help us generate a network representation of our documents. + +### Documents Table Emission + +At this point, we can emit the **Documents** table into the knowledge Model. + +## Phase 6: Network Visualization + +In this phase of the workflow, we perform some steps to support network visualization of our high-dimensional vector spaces within our existing graphs. At this point there are two logical graphs at play: the _Entity-Relationship_ graph and the _Document_ graph. + +```mermaid +--- +title: Network Visualization Workflows +--- +flowchart LR + nv[Umap Documents] --> ne[Umap Entities] --> ng[Nodes Table Emission] +``` + +For each of the logical graphs, we perform a UMAP dimensionality reduction to generate a 2D representation of the graph. This will allow us to visualize the graph in a 2D space and understand the relationships between the nodes in the graph. The UMAP embeddings are then emitted as a table of _Nodes_. The rows of this table include a discriminator indicating whether the node is a document or an entity, and the UMAP coordinates. diff --git a/docsite/posts/index/2-cli.md b/docsite/posts/index/2-cli.md new file mode 100644 index 00000000..97911bbc --- /dev/null +++ b/docsite/posts/index/2-cli.md @@ -0,0 +1,26 @@ +--- +title: Indexer CLI +navtitle: CLI +layout: page +tags: [post, indexing] +date: 2023-01-03 +--- + +The GraphRAG indexer CLI allows for no-code usage of the GraphRAG Indexer. + +```bash +python -m graphrag.index --verbose --root --config +--resume --reporter --emit json,csv,parquet +--nocache +``` + +## CLI Arguments + +- `--verbose` - Adds extra logging information during the run. +- `--root ` - the data root directory. This should contain an `input` directory with the input data, and an `.env` file with environment variables. These are described below. +- `--init` - This will initialize the data project directory at the specified `root` with bootstrap configuration and prompt-overrides. +- `--resume ` - if specified, the pipeline will attempt to resume a prior run. The parquet files from the prior run will be loaded into the system as inputs, and the workflows that generated those files will be skipped. The input value should be the timestamped output folder, e.g. "20240105-143721". +- `--config ` - This will opt-out of the Default Configuration mode and execute a custom configuration. If this is used, then none of the environment-variables below will apply. +- `--reporter ` - This will specify the progress reporter to use. The default is `rich`. Valid values are `rich`, `print`, and `none`. +- `--emit ` - This specifies the table output formats the pipeline should emit. The default is `parquet`. Valid values are `parquet`, `csv`, and `json`, comma-separated. +- `--nocache` - This will disable the caching mechanism. This is useful for debugging and development, but should not be used in production. diff --git a/docsite/posts/index/overview.md b/docsite/posts/index/overview.md new file mode 100644 index 00000000..9133330b --- /dev/null +++ b/docsite/posts/index/overview.md @@ -0,0 +1,82 @@ +--- +title: GraphRAG Indexing 🤖 +navtitle: Indexing Overview +layout: page +tags: [post] +--- + +The GraphRAG indexing package is a data pipeline and transformation suite that is designed to extract meaningful, structured data from unstructured text using LLMs. + +Indexing Pipelines are configurable. They are composed of workflows, standard and custom steps, prompt templates, and input/output adapters. Our standard pipeline is designed to: + +- extract entities, relationships and claims from raw text +- perform community detection in entities +- generate community summaries and reports at multiple levels of granularity +- embed entities into a graph vector space +- embed text chunks into a textual vector space + +The outputs of the pipeline can be stored in a variety of formats, including JSON and Parquet - or they can be handled manually via the Python API. + +## Getting Started + +### Requirements + +See the [requirements](/posts/developing#requirements) section in [Get Started](/posts/get_started) for details on setting up a development environment. + +The Indexing Engine can be used in either a default configuration mode or with a custom pipeline. +To configure GraphRAG, see the [configuration](/posts/config/overview) documentation. +After you have a config file you can run the pipeline using the CLI or the Python API. + +## Usage + +### CLI + +```bash +# Via Poetry +poetry run poe cli --root # default config mode +poetry run poe cli --config your_pipeline.yml # custom config mode + +# Via Node +yarn run:index --root # default config mode +yarn run:index --config your_pipeline.yml # custom config mode + +``` + +### Python API + +```python +from graphrag.index import run_pipeline +from graphrag.index.config import PipelineWorkflowReference + +workflows: list[PipelineWorkflowReference] = [ + PipelineWorkflowReference( + steps=[ + { + # built-in verb + "verb": "derive", # https://github.com/microsoft/datashaper/blob/main/python/datashaper/datashaper/engine/verbs/derive.py + "args": { + "column1": "col1", # from above + "column2": "col2", # from above + "to": "col_multiplied", # new column name + "operator": "*", # multiply the two columns + }, + # Since we're trying to act on the default input, we don't need explicitly to specify an input + } + ] + ), +] + +dataset = pd.DataFrame([{"col1": 2, "col2": 4}, {"col1": 5, "col2": 10}]) +outputs = [] +async for output in await run_pipeline(dataset=dataset, workflows=workflows): + outputs.append(output +pipeline_result = outputs[-1] +print(pipeline_result) +``` + +## Further Reading + +- To start developing within the _GraphRAG_ project, see [getting started](/posts/developing/) +- To understand the underlying concepts and execution model of the indexing library, see [the architecture documentation](/posts/index/0-architecture/) +- To get running with a series of examples, see [the examples documentation](https://github.com/microsoft/graphrag/blob/main/examples/README.md) +- To read more about configuring the indexing engine, see [the configuration documentation](/posts/config/overview) diff --git a/docsite/posts/prompt_tuning/auto_prompt_tuning.md b/docsite/posts/prompt_tuning/auto_prompt_tuning.md new file mode 100644 index 00000000..3b091064 --- /dev/null +++ b/docsite/posts/prompt_tuning/auto_prompt_tuning.md @@ -0,0 +1,72 @@ +--- +title: Prompt Tuning ⚙️ +navtitle: Auto templating +layout: page +tags: [post, tuning] +date: 2024-06-13 +--- + +GraphRAG provides the ability to create domain adaptive templates for the generation of the knowledge graph. This step is optional, though is is highly encouraged to run it as it will yield better results when executing an Index Run. + +The templates are generated by loading the inputs, splitting them into chunks (text units) and then running a series of LLM invocations and template substitutions to generate the final prompts. We suggest using the default values provided by the script, but in this page you'll find the detail of each in case you want to further explore and tweak the template generation algorithm. + +## Prerequisites + +Before running the automatic template generation make sure you have already initialized your workspace with the `graphrag.index --init` command. This will create the necessary configuration files and the default prompts. Refer to the [Init Documentation](/posts/config/init) for more information about the initialization process. + +## Usage + +You can run the main script from the command line with various options: + +```bash +python -m graphrag.prompt_tune [--root ROOT] [--domain DOMAIN] [--method METHOD] [--limit LIMIT] [--max-tokens MAX_TOKENS] [--chunk-size CHUNK_SIZE] [--no-entity-types] [--output OUTPUT] +``` + +## Command-Line Options + +- `--root` (optional): The data project root directory, including the config files (YML, JSON, or .env). Defaults to the current directory. + +- `--domain` (optional): The domain related to your input data, such as 'space science', 'microbiology', or 'environmental news'. If left empty, the domain will be inferred from the input data. + +- `--method` (optional): The method to select documents. Options are all, random, or top. Default is random. + +- `--limit` (optional): The limit of text units to load when using random or top selection. Default is 15. + +- `--max-tokens` (optional): Maximum token count for prompt generation. Default is 2000. + +- `--chunk-size` (optional): The size in tokens to use for generating text units from input documents. Default is 200. + +- `--no-entity-types` (optional): Use untyped entity extraction generation. We recommend using this when your data covers a lot of topics or it is highly randomized. + +- `--output` (optional): The folder to save the generated prompts. Default is "prompts". + +## Example Usage + +```bash +python -m graphrag.prompt_tune --root /path/to/project --domain "environmental news" --method random --limit 10 --max-tokens 2048 --chunk-size 256 --no-entity-types --output /path/to/output +``` + +or, with minimal configuration (suggested): + +```bash +python -m graphrag.prompt_tune --root /path/to/project --no-entity-types +``` + +## Document Selection Methods + +The auto template feature ingests the input data and then divides it into text units the size of the chunk size parameter. +After that, it uses one of the following selection methods to pick a sample to work with for template generation: + +- `random`: Select text units randomly. This is the default and recommended option. +- `top`: Select the head n text units. +- `all`: Use all text units for the generation. Use only with small datasets; this option is not usually recommended. + +## Modify Env Vars + +After running auto-templating, you should modify the following environment variables (or config variables) to pick up the new prompts on your index run. Note: Please make sure to update the correct path to the generated prompts, in this example we are using the default "prompts" path. + +- `GRAPHRAG_ENTITY_EXTRACTION_PROMPT_FILE` = "prompts/entity_extraction.txt" + +- `GRAPHRAG_COMMUNITY_REPORT_PROMPT_FILE` = "prompts/community_report.txt" + +- `GRAPHRAG_SUMMARIZE_DESCRIPTIONS_PROMPT_FILE` = "prompts/summarize_descriptions.txt" diff --git a/docsite/posts/prompt_tuning/manual_prompt_tuning.md b/docsite/posts/prompt_tuning/manual_prompt_tuning.md new file mode 100644 index 00000000..935840d2 --- /dev/null +++ b/docsite/posts/prompt_tuning/manual_prompt_tuning.md @@ -0,0 +1,60 @@ +--- +title: Prompt Tuning⚙️ +navtitle: Manual Tuning +layout: page +tags: [post, tuning] +date: 2023-01-03 +--- + +The GraphRAG indexer, by default, will run with a handful of prompts that are designed to work well in the broad context of knowledge discovery. +However, it is quite common to want to tune the prompts to better suit your specific use case. +We provide a means for you to do this by allowing you to specify a custom prompt file, which will each use a series of token-replacements internally. + +Each of these prompts may be overridden by writing a custom prompt file in plaintext. We use token-replacements in the form of `{token_name}`, and the descriptions for the available tokens can be found below. + +## Entity/Relationship Extraction + +[Prompt Source](http://github.com/microsoft/graphrag/blob/main/graphrag/index/graph/extractors/graph/prompts.py) + +### Tokens (values provided by extractor) + +- **{input_text}** - The input text to be processed. +- **{entity_types}** - A list of entity types +- **{tuple_delimiter}** - A delimiter for separating values within a tuple. A single tuple is used to represent an individual entity or relationship. +- **{record_delimiter}** - A delimiter for separating tuple instances. +- **{completion_delimiter}** - An indicator for when generation is complete. + +## Summarize Entity/Relationship Descriptions + +[Prompt Source](http://github.com/microsoft/graphrag/blob/main/graphrag/index/graph/extractors/summarize/prompts.py) + +### Tokens (values provided by extractor) + +- **{entity_name}** - The name of the entity or the source/target pair of the relationship. +- **{description_list}** - A list of descriptions for the entity or relationship. + +## Claim Extraction + +[Prompt Source](http://github.com/microsoft/graphrag/blob/main/graphrag/index/graph/extractors/claims/prompts.py) + +### Tokens (values provided by extractor) + +- **{input_text}** - The input text to be processed. +- **{tuple_delimiter}** - A delimiter for separating values within a tuple. A single tuple is used to represent an individual entity or relationship. +- **{record_delimiter}** - A delimiter for separating tuple instances. +- **{completion_delimiter}** - An indicator for when generation is complete. + +Note: there is additional paramater for the `Claim Description` that is used in claim extraction. +The default value is + +`"Any claims or facts that could be relevant to information discovery."` + +See the [configuration documentation](/posts/config/overview/) for details on how to change this. + +## Generate Community Reports + +[Prompt Source](http://github.com/microsoft/graphrag/blob/main/graphrag/index/graph/extractors/community_reports/prompts.py) + +### Tokens (values provided by extractor) + +- **{input_text}** - The input text to generate the report with. This will contain tables of entities and relationships. diff --git a/docsite/posts/prompt_tuning/overview.md b/docsite/posts/prompt_tuning/overview.md new file mode 100644 index 00000000..09d99e47 --- /dev/null +++ b/docsite/posts/prompt_tuning/overview.md @@ -0,0 +1,26 @@ +--- +title: Prompt Tuning ⚙️ +navtitle: Overview +layout: page +tags: [post, tuning] +date: 2024-06-13 +--- + +This page provides an overview of the prompt tuning options available for the GraphRAG indexing engine. + +## Default Prompts + +The default prompts are the simplest way to get started with the GraphRAG system. It is designed to work out-of-the-box with minimal configuration. You can find more detail about these prompts in the following links: + +- [Entity/Relationship Extraction](http://github.com/microsoft/graphrag/blob/main/graphrag/index/graph/extractors/graph/prompts.py) +- [Entity/Relationship Description Summarization](http://github.com/microsoft/graphrag/blob/main/graphrag/index/graph/extractors/summarize/prompts.py) +- [Claim Extraction](http://github.com/microsoft/graphrag/blob/main/graphrag/index/graph/extractors/claims/prompts.py) +- [Community Reports](http://github.com/microsoft/graphrag/blob/main/graphrag/index/graph/extractors/community_reports/prompts.py) + +## Auto Templating + +Auto Templating leverages your input data and LLM interactions to create domain adaptive templates for the generation of the knowledge graph. It is highly encouraged to run it as it will yield better results when executing an Index Run. For more details about how to use it, please refer to the [Auto Templating](/posts/prompt_tuning/auto_prompt_tuning) documentation. + +## Manual Configuration + +Manual configuration is an advanced use-case. Most users will want to use the Auto Templating feature instead. Details about how to use manual configuration are available in the [Manual Prompt Configuration](/posts/prompt_tunins/manual_prompt_tuning) documentation. diff --git a/docsite/posts/query/0-global_search.md b/docsite/posts/query/0-global_search.md new file mode 100644 index 00000000..1a0eda22 --- /dev/null +++ b/docsite/posts/query/0-global_search.md @@ -0,0 +1,78 @@ +--- +title: Global Search 🔎 +navtitle: Global Search +tags: [post, orchestration] +layout: page +date: 2024-06-03 +--- + +## Whole Dataset Reasoning + +Baseline RAG struggles with queries that require aggregation of information across the dataset to compose an answer. Queries such as “What are the top 5 themes in the data?” perform terribly because baseline RAG relies on a vector search of semantically similar text content within the dataset. There is nothing in the query to direct it to the correct information. + +However, with GraphRAG we can answer such questions, because the structure of the LLM-generated knowledge graph tells us about the structure (and thus themes) of the dataset as a whole. This allows the private dataset to be organized into meaningful semantic clusters that are pre-summarized. Using our [global search](https://github.com/microsoft/graphrag/blob/main//graphrag/query/structured_search/global_search/) method, the LLM uses these clusters to summarize these themes when responding to a user query. + +## Methodology + +```mermaid +--- +title: Global Search Dataflow +--- +%%{ init: { 'flowchart': { 'curve': 'step' } } }%% +flowchart LR + + uq[User Query] --- .1 + ch1[Conversation History] --- .1 + + subgraph RIR + direction TB + ri1[Rated Intermediate
    Response 1]~~~ri2[Rated Intermediate
    Response 2] -."{1..N}".-rin[Rated Intermediate
    Response N] + end + + .1--Shuffled Community
    Report Batch 1-->RIR + .1--Shuffled Community
    Report Batch 2-->RIR---.2 + .1--Shuffled Community
    Report Batch N-->RIR + + .2--Ranking +
    Filtering-->agr[Aggregated Intermediate
    Responses]-->res[Response] + + + + classDef green fill:#26B653,stroke:#333,stroke-width:2px,color:#fff; + classDef turquoise fill:#19CCD3,stroke:#333,stroke-width:2px,color:#fff; + classDef rose fill:#DD8694,stroke:#333,stroke-width:2px,color:#fff; + classDef orange fill:#F19914,stroke:#333,stroke-width:2px,color:#fff; + classDef purple fill:#B356CD,stroke:#333,stroke-width:2px,color:#fff; + classDef invisible fill:#fff,stroke:#fff,stroke-width:0px,color:#fff, width:0px; + class uq,ch1 turquoise; + class ri1,ri2,rin rose; + class agr orange; + class res purple; + class .1,.2 invisible; + +``` + +Given a user query and, optionally, the conversation history, the global search method uses a collection of LLM-generated community reports from a specified level of the graph's community hierarchy as context data to generate response in a map-reduce manner. At the `map` step, community reports are segmented into text chunks of pre-defined size. Each text chunk is then used to produce an intermediate response containing a list of point, each of which is accompanied by a numerical rating indicating the importance of the point. At the `reduce` step, a filtered set of the most important points from the intermediate responses are aggregated and used as the context to generate the final response. + +The quality of the global search’s response can be heavily influenced by the level of the community hierarchy chosen for sourcing community reports. Lower hierarchy levels, with their detailed reports, tend to yield more thorough responses, but may also increase the time and LLM resources needed to generate the final response due to the volume of reports. + + +## Configuration + +Below are the key parameters of the [GlobalSearch class](https://github.com/microsoft/graphrag/blob/main//graphrag/query/structured_search/global_search/search.py): +* `llm`: OpenAI model object to be used for response generation +* `context_builder`: [context builder](https://github.com/microsoft/graphrag/blob/main//graphrag/query/structured_search/global_search/community_context.py) object to be used for preparing context data from community reports +* `map_system_prompt`: prompt template used in the `map` stage. Default template can be found at [map_system_prompt](https://github.com/microsoft/graphrag/blob/main//graphrag/query/structured_search/global_search/map_system_prompt.py) +* `reduce_system_prompt`: prompt template used in the `reduce` stage, default template can be found at [reduce_system_prompt](https://github.com/microsoft/graphrag/blob/main//graphrag/query/structured_search/global_search/reduce_system_prompt.py) +* `response_type`: free-form text describing the desired response type and format (e.g., `Multiple Paragraphs`, `Multi-Page Report`) +* `allow_general_knowledge`: setting this to True will include additional instructions to the `reduce_system_prompt` to prompt the LLM to incorporate relevant real-world knowledge outside of the dataset. Note that this may increase hallucinations, but can be useful for certain scenarios. Default is False +*`general_knowledge_inclusion_prompt`: instruction to add to the `reduce_system_prompt` if `allow_general_knowledge` is enabled. Default instruction can be found at [general_knowledge_instruction](https://github.com/microsoft/graphrag/blob/main//graphrag/query/structured_search/global_search/reduce_system_prompt.py) +* `max_data_tokens`: token budget for the context data +* `map_llm_params`: a dictionary of additional parameters (e.g., temperature, max_tokens) to be passed to the LLM call at the `map` stage +* `reduce_llm_params`: a dictionary of additional parameters (e.g., temperature, max_tokens) to passed to the LLM call at the `reduce` stage +* `context_builder_params`: a dictionary of additional parameters to be passed to the [`context_builder`](https://github.com/microsoft/graphrag/blob/main//graphrag/query/structured_search/global_search/community_context.py) object when building context window for the `map` stage. +* `concurrent_coroutines`: controls the degree of parallelism in the `map` stage. +* `callbacks`: optional callback functions, can be used to provide custom event handlers for LLM's completion streaming events + +## How to Use + +An example of a global search scenario can be found in the following [notebook](../notebooks/global_search_nb). \ No newline at end of file diff --git a/docsite/posts/query/1-local_search.md b/docsite/posts/query/1-local_search.md new file mode 100644 index 00000000..7d2a465d --- /dev/null +++ b/docsite/posts/query/1-local_search.md @@ -0,0 +1,67 @@ +--- +title: Local Search 🔎 +navtitle: Local Search +tags: [post, orchestration] +layout: page +date: 2024-03-28 +--- + +## Entity-based Reasoning + +The [local search](https://github.com/microsoft/graphrag/blob/main//graphrag/query/structured_search/local_search/) method combines structured data from the knowledge graph with unstructured data from the input documents to augment the LLM context with relevant entity information at query time. It is well-suited for answering questions that require an understanding of specific entities mentioned in the input documents (e.g., “What are the healing properties of chamomile?”). + +## Methodology + +```mermaid +--- +title: Local Search Dataflow +--- +%%{ init: { 'flowchart': { 'curve': 'step' } } }%% +flowchart LR + + uq[User Query] ---.1 + ch1[Conversation
    History]---.1 + + .1--Entity
    Description
    Embedding--> ee[Extracted Entities] + + ee[Extracted Entities] ---.2--Entity-Text
    Unit Mapping--> ctu[Candidate
    Text Units]--Ranking +
    Filtering -->ptu[Prioritized
    Text Units]---.3 + .2--Entity-Report
    Mapping--> ccr[Candidate
    Community Reports]--Ranking +
    Filtering -->pcr[Prioritized
    Community Reports]---.3 + .2--Entity-Entity
    Relationships--> ce[Candidate
    Entities]--Ranking +
    Filtering -->pe[Prioritized
    Entities]---.3 + .2--Entity-Entity
    Relationships--> cr[Candidate
    Relationships]--Ranking +
    Filtering -->pr[Prioritized
    Relationships]---.3 + .2--Entity-Covariate
    Mappings--> cc[Candidate
    Covariates]--Ranking +
    Filtering -->pc[Prioritized
    Covariates]---.3 + ch1 -->ch2[Conversation History]---.3 + .3-->res[Response] + + classDef green fill:#26B653,stroke:#333,stroke-width:2px,color:#fff; + classDef turquoise fill:#19CCD3,stroke:#333,stroke-width:2px,color:#fff; + classDef rose fill:#DD8694,stroke:#333,stroke-width:2px,color:#fff; + classDef orange fill:#F19914,stroke:#333,stroke-width:2px,color:#fff; + classDef purple fill:#B356CD,stroke:#333,stroke-width:2px,color:#fff; + classDef invisible fill:#fff,stroke:#fff,stroke-width:0px,color:#fff, width:0px; + class uq,ch1 turquoise + class ee green + class ctu,ccr,ce,cr,cc rose + class ptu,pcr,pe,pr,pc,ch2 orange + class res purple + class .1,.2,.3 invisible + + +``` + +Given a user query and, optionally, the conversation history, the local search method identifies a set of entities from the knowledge graph that are semantically-related to the user input. These entities serve as access points into the knowledge graph, enabling the extraction of further relevant details such as connected entities, relationships, entity covariates, and community reports. Additionally, it also extracts relevant text chunks from the raw input documents that are associated with the identified entities. These candidate data sources are then prioritized and filtered to fit within a single context window of pre-defined size, which is used to generate a response to the user query. + +## Configuration + +Below are the key parameters of the [LocalSearch class](https://github.com/microsoft/graphrag/blob/main//graphrag/query/structured_search/local_search/search.py): +* `llm`: OpenAI model object to be used for response generation +* `context_builder`: [context builder](https://github.com/microsoft/graphrag/blob/main//graphrag/query/structured_search/local_search/mixed_context.py) object to be used for preparing context data from collections of knowledge model objects +* `system_prompt`: prompt template used to generate the search response. Default template can be found at [system_prompt](https://github.com/microsoft/graphrag/blob/main//graphrag/query/structured_search/local_search/system_prompt.py) +* `response_type`: free-form text describing the desired response type and format (e.g., `Multiple Paragraphs`, `Multi-Page Report`) +* `llm_params`: a dictionary of additional parameters (e.g., temperature, max_tokens) to be passed to the LLM call +* `context_builder_params`: a dictionary of additional parameters to be passed to the [`context_builder`](https://github.com/microsoft/graphrag/blob/main//graphrag/query/structured_search/local_search/mixed_context.py) object when building context for the search prompt +* `callbacks`: optional callback functions, can be used to provide custom event handlers for LLM's completion streaming events + +## How to Use + +An example of a local search scenario can be found in the following [notebook](../notebooks/local_search_nb). + diff --git a/docsite/posts/query/2-question_generation.md b/docsite/posts/query/2-question_generation.md new file mode 100644 index 00000000..73a89f1f --- /dev/null +++ b/docsite/posts/query/2-question_generation.md @@ -0,0 +1,28 @@ +--- +title: Question Generation ❔ +navtitle: Question Generation +tags: [post, orchestration] +layout: page +date: 2024-03-28 +--- + +## Entity-based Question Generation + +The [question generation](https://github.com/microsoft/graphrag/blob/main//graphrag/query/question_gen/) method combines structured data from the knowledge graph with unstructured data from the input documents to generate candidate questions related to specific entities. + +## Methodology +Given a list of prior user questions, the question generation method uses the same context-building approach employed in [local search](1-local_search.md) to extract and prioritize relevant structured and unstructured data, including entities, relationships, covariates, community reports and raw text chunks. These data records are then fitted into a single LLM prompt to generate candidate follow-up questions that represent the most important or urgent information content or themes in the data. + +## Configuration + +Below are the key parameters of the [Question Generation class](https://github.com/microsoft/graphrag/blob/main//graphrag/query/question_gen/local_gen.py): +* `llm`: OpenAI model object to be used for response generation +* `context_builder`: [context builder](https://github.com/microsoft/graphrag/blob/main//graphrag/query/structured_search/local_search/mixed_context.py) object to be used for preparing context data from collections of knowledge model objects, using the same context builder class as in local search +* `system_prompt`: prompt template used to generate candidate questions. Default template can be found at [system_prompt](https://github.com/microsoft/graphrag/blob/main//graphrag/query/question_gen/system_prompt.py) +* `llm_params`: a dictionary of additional parameters (e.g., temperature, max_tokens) to be passed to the LLM call +* `context_builder_params`: a dictionary of additional parameters to be passed to the [`context_builder`](https://github.com/microsoft/graphrag/blob/main//graphrag/query/structured_search/local_search/mixed_context.py) object when building context for the question generation prompt +* `callbacks`: optional callback functions, can be used to provide custom event handlers for LLM's completion streaming events + +## How to Use + +An example of the question generation function can be found in the following [notebook](../notebooks/local_search_nb). diff --git a/docsite/posts/query/3-cli.md b/docsite/posts/query/3-cli.md new file mode 100644 index 00000000..c1a88f9e --- /dev/null +++ b/docsite/posts/query/3-cli.md @@ -0,0 +1,48 @@ +--- +title: Query CLI +navtitle: CLI +layout: page +tags: [post, orchestration] +date: 2024-27-03 +--- + +The GraphRAG query CLI allows for no-code usage of the GraphRAG Query engine. + +```bash +python -m graphrag.query --data --community_level --response_type --method <"local"|"global"> +``` + +## CLI Arguments + +- `--data ` - Folder containing the `.parquet` output files from running the Indexer. +- `--community_level ` - Community level in the Leiden community hierarchy from which we will load the community reports higher value means we use reports on smaller communities. Default: 2 +- `--response_type ` - Free form text describing the response type and format, can be anything, e.g. `Multiple Paragraphs`, `Single Paragraph`, `Single Sentence`, `List of 3-7 Points`, `Single Page`, `Multi-Page Report`. Default: `Multiple Paragraphs`. +- `--method <"local"|"global">` - Method to use to answer the query, one of local or global. For more information check [Overview](overview.md) + +## Env Variables + +Required environment variables to execute: +- `GRAPHRAG_API_KEY` - API Key for executing the model, will fallback to `OPENAI_API_KEY` if one is not provided. +- `GRAPHRAG_LLM_MODEL` - Model to use for Chat Completions. +- `GRAPHRAG_EMBEDDING_MODEL` - Model to use for Embeddings. + +You can further customize the execution by providing these environment variables: + +- `GRAPHRAG_LLM_API_BASE` - The API Base URL. Default: `None` +- `GRAPHRAG_LLM_TYPE` - The LLM operation type. Either `openai_chat` or `azure_openai_chat`. Default: `openai_chat` +- `GRAPHRAG_LLM_MAX_RETRIES` - The maximum number of retries to attempt when a request fails. Default: `20` +- `GRAPHRAG_EMBEDDING_API_BASE` - The API Base URL. Default: `None` +- `GRAPHRAG_EMBEDDING_TYPE` - The embedding client to use. Either `openai_embedding` or `azure_openai_embedding`. Default: `openai_embedding` +- `GRAPHRAG_EMBEDDING_MAX_RETRIES` - The maximum number of retries to attempt when a request fails. Default: `20` +- `GRAPHRAG_LOCAL_SEARCH_TEXT_UNIT_PROP` - Proportion of context window dedicated to related text units. Default: `0.5` +- `GRAPHRAG_LOCAL_SEARCH_COMMUNITY_PROP` - Proportion of context window dedicated to community reports. Default: `0.1` +- `GRAPHRAG_LOCAL_SEARCH_CONVERSATION_HISTORY_MAX_TURNS` - Maximum number of turns to include in the conversation history. Default: `5` +- `GRAPHRAG_LOCAL_SEARCH_TOP_K_ENTITIES` - Number of related entities to retrieve from the entity description embedding store. Default: `10` +- `GRAPHRAG_LOCAL_SEARCH_TOP_K_RELATIONSHIPS` - Control the number of out-of-network relationships to pull into the context window. Default: `10` +- `GRAPHRAG_LOCAL_SEARCH_MAX_TOKENS` - Change this based on the token limit you have on your model (if you are using a model with 8k limit, a good setting could be 5000). Default: `12000` +- `GRAPHRAG_LOCAL_SEARCH_LLM_MAX_TOKENS` - Change this based on the token limit you have on your model (if you are using a model with 8k limit, a good setting could be 1000=1500). Default: `2000` +- `GRAPHRAG_GLOBAL_SEARCH_MAX_TOKENS` - Change this based on the token limit you have on your model (if you are using a model with 8k limit, a good setting could be 5000). Default: `12000` +- `GRAPHRAG_GLOBAL_SEARCH_DATA_MAX_TOKENS` - Change this based on the token limit you have on your model (if you are using a model with 8k limit, a good setting could be 5000). Default: `12000` +- `GRAPHRAG_GLOBAL_SEARCH_MAP_MAX_TOKENS` - Default: `500` +- `GRAPHRAG_GLOBAL_SEARCH_REDUCE_MAX_TOKENS` - Change this based on the token limit you have on your model (if you are using a model with 8k limit, a good setting could be 1000-1500). Default: `2000` +- `GRAPHRAG_GLOBAL_SEARCH_CONCURRENCY` - Default: `32` \ No newline at end of file diff --git a/docsite/posts/query/notebooks/overview.md b/docsite/posts/query/notebooks/overview.md new file mode 100644 index 00000000..cf1a8259 --- /dev/null +++ b/docsite/posts/query/notebooks/overview.md @@ -0,0 +1,13 @@ +--- +title: Query Engine Notebooks +navtitle: Query Engine Notebooks +layout: page +tags: [post, notebook] +--- + +For examples about running Query please refer to the following notebooks: + +- [Global Search Notebook](/posts/query/notebooks/global_search_nb) +- [Local Search Notebook](/posts/query/notebooks/local_search_nb) + +The test dataset for these notebooks can be found [here](/data/operation_dulce/dataset.zip). \ No newline at end of file diff --git a/docsite/posts/query/overview.md b/docsite/posts/query/overview.md new file mode 100644 index 00000000..2b725759 --- /dev/null +++ b/docsite/posts/query/overview.md @@ -0,0 +1,31 @@ +--- +title: Query Engine 🔎 +navtitle: Overview +tags: [post] +layout: page +--- + +The Query Engine is the retrieval module of the Graph RAG Library. It is one of the two main components of the Graph RAG library, the other being the Indexing Pipeline (see [Indexing Pipeline](/posts/index/overview)). +It is responsible for the following tasks: + +- [Local Search](#local-search) +- [Global Search](#global-search) +- [Question Generation](#question-generation) + +## Local Search + +Local search method generates answers by combining relevant data from the AI-extracted knowledge-graph with text chunks of the raw documents. This method is suitable for questions that require an understanding of specific entities mentioned in the documents (e.g. What are the healing properties of chamomile?). + +For more details about how Local Search works please refer to the [Local Search](/posts/query/1-local_search) documentation. + +## Global Search + +Global search method generates answers by searching over all AI-generated community reports in a map-reduce fashion. This is a resource-intensive method, but often gives good responses for questions that require an understanding of the dataset as a whole (e.g. What are the most significant values of the herbs mentioned in this notebook?). + +More about this can be checked at the [Global Search](/posts/query/0-global_search) documentation. + +## Question Generation + +This functionality takes a list of user queries and generates the next candidate questions. 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Using mostly the Python API +2. Using mostly the a pipeline configuration file + +# Running an Example +First run `poetry shell` to activate a virtual environment with the required dependencies. + +Then run `PYTHONPATH="$(pwd)" python examples/path_to_example/run.py` from the `python/graphrag` directory. + +For example to run the single_verb example, you would run the following commands: + +```bash +cd python/graphrag +poetry shell +PYTHONPATH="$(pwd)" python examples/single_verb/run.py +``` \ No newline at end of file diff --git a/examples/__init__.py b/examples/__init__.py new file mode 100644 index 00000000..0a3e38ad --- /dev/null +++ b/examples/__init__.py @@ -0,0 +1,2 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License diff --git a/examples/custom_input/__init__.py b/examples/custom_input/__init__.py new file mode 100644 index 00000000..0a3e38ad --- /dev/null +++ b/examples/custom_input/__init__.py @@ -0,0 +1,2 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License diff --git a/examples/custom_input/pipeline.yml b/examples/custom_input/pipeline.yml new file mode 100644 index 00000000..80340c82 --- /dev/null +++ b/examples/custom_input/pipeline.yml @@ -0,0 +1,24 @@ + +# Setup reporting however you'd like +reporting: + type: console + +# Setup storage however you'd like +storage: + type: memory + +# Setup cache however you'd like +cache: + type: memory + +# Just a simple workflow +workflows: + + # This is an anonymous workflow, it doesn't have a name + - steps: + + # Unpack the nodes from the graph + - verb: fill + args: + to: filled_column + value: "Filled Value" \ No newline at end of file diff --git a/examples/custom_input/run.py b/examples/custom_input/run.py new file mode 100644 index 00000000..ba39033e --- /dev/null +++ b/examples/custom_input/run.py @@ -0,0 +1,46 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +import asyncio +import os + +import pandas as pd + +from graphrag.index import run_pipeline_with_config + +pipeline_file = os.path.join( + os.path.dirname(os.path.abspath(__file__)), "./pipeline.yml" +) + + +async def run(): + # Load your dataset + dataset = _load_dataset_some_unique_way() + + # Load your config without the input section + config = pipeline_file + + # Grab the last result from the pipeline, should be our entity extraction + outputs = [] + async for output in run_pipeline_with_config( + config_or_path=config, dataset=dataset + ): + outputs.append(output) + pipeline_result = outputs[-1] + + if pipeline_result.result is not None: + # Should look something like + # col1 col2 filled_column + # 0 2 4 Filled Value + # 1 5 10 Filled Value + print(pipeline_result.result) + else: + print("No results!") + + +def _load_dataset_some_unique_way() -> pd.DataFrame: + # Totally loaded from some other place + return pd.DataFrame([{"col1": 2, "col2": 4}, {"col1": 5, "col2": 10}]) + + +if __name__ == "__main__": + asyncio.run(run()) diff --git a/examples/custom_set_of_available_verbs/__init__.py b/examples/custom_set_of_available_verbs/__init__.py new file mode 100644 index 00000000..0a3e38ad --- /dev/null +++ b/examples/custom_set_of_available_verbs/__init__.py @@ -0,0 +1,2 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License diff --git a/examples/custom_set_of_available_verbs/custom_verb_definitions.py b/examples/custom_set_of_available_verbs/custom_verb_definitions.py new file mode 100644 index 00000000..ef058ed3 --- /dev/null +++ b/examples/custom_set_of_available_verbs/custom_verb_definitions.py @@ -0,0 +1,22 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +from datashaper import TableContainer, VerbInput + + +def str_append( + input: VerbInput, source_column: str, target_column: str, string_to_append: str +): + """A custom verb that appends a string to a column""" + # by convention, we typically use "column" as the input column name and "to" as the output column name, but you can use whatever you want + # just as long as the "args" in the workflow reference match the function signature + input_data = input.get_input() + output_df = input_data.copy() + output_df[target_column] = output_df[source_column].apply( + lambda x: f"{x}{string_to_append}" + ) + return TableContainer(table=output_df) + + +custom_verbs = { + "str_append": str_append, +} diff --git a/examples/custom_set_of_available_verbs/pipeline.yml b/examples/custom_set_of_available_verbs/pipeline.yml new file mode 100644 index 00000000..85bcdb24 --- /dev/null +++ b/examples/custom_set_of_available_verbs/pipeline.yml @@ -0,0 +1,7 @@ +workflows: + - steps: + - verb: "str_append" # should be the key that you pass to the custom_verbs dict below + args: + source_column: "col1" + target_column: "col_1_custom" + string_to_append: " - custom verb" \ No newline at end of file diff --git a/examples/custom_set_of_available_verbs/run.py b/examples/custom_set_of_available_verbs/run.py new file mode 100644 index 00000000..7e3f4617 --- /dev/null +++ b/examples/custom_set_of_available_verbs/run.py @@ -0,0 +1,84 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +import asyncio +import os + +import pandas as pd + +from examples.custom_set_of_available_verbs.custom_verb_definitions import custom_verbs +from graphrag.index import run_pipeline, run_pipeline_with_config +from graphrag.index.config import PipelineWorkflowReference + +# Our fake dataset +dataset = pd.DataFrame([{"col1": 2, "col2": 4}, {"col1": 5, "col2": 10}]) + + +async def run_with_config(): + """Run a pipeline with a config file""" + # load pipeline.yml in this directory + config_path = os.path.join( + os.path.dirname(os.path.abspath(__file__)), "./pipeline.yml" + ) + + outputs = [] + async for output in run_pipeline_with_config( + config_or_path=config_path, dataset=dataset + ): + outputs.append(output) + pipeline_result = outputs[-1] + + if pipeline_result.result is not None: + # Should look something like this, which should be identical to the python example: + # col1 col2 col_1_custom + # 0 2 4 2 - custom verb + # 1 5 10 5 - custom verb + print(pipeline_result.result) + else: + print("No results!") + + +async def run_python(): + workflows: list[PipelineWorkflowReference] = [ + PipelineWorkflowReference( + name="my_workflow", + steps=[ + { + "verb": "str_append", # should be the key that you pass to the custom_verbs dict below + "args": { + "source_column": "col1", # from above + "target_column": "col_1_custom", # new column name, + "string_to_append": " - custom verb", # The string to append to the column + }, + # Since we're trying to act on the default input, we don't need explicitly to specify an input + } + ], + ), + ] + + # Run the pipeline + outputs = [] + async for output in run_pipeline( + dataset=dataset, + workflows=workflows, + additional_verbs=custom_verbs, + ): + outputs.append(output) + + # Find the result from the workflow we care about + pipeline_result = next( + (output for output in outputs if output.workflow == "my_workflow"), None + ) + + if pipeline_result is not None and pipeline_result.result is not None: + # Should look something like this: + # col1 col2 col_1_custom + # 0 2 4 2 - custom verb + # 1 5 10 5 - custom verb + print(pipeline_result.result) + else: + print("No results!") + + +if __name__ == "__main__": + asyncio.run(run_python()) + asyncio.run(run_with_config()) diff --git a/examples/custom_set_of_available_workflows/__init__.py b/examples/custom_set_of_available_workflows/__init__.py new file mode 100644 index 00000000..0a3e38ad --- /dev/null +++ b/examples/custom_set_of_available_workflows/__init__.py @@ -0,0 +1,2 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License diff --git a/examples/custom_set_of_available_workflows/custom_workflow_definitions.py b/examples/custom_set_of_available_workflows/custom_workflow_definitions.py new file mode 100644 index 00000000..7d91750f --- /dev/null +++ b/examples/custom_set_of_available_workflows/custom_workflow_definitions.py @@ -0,0 +1,36 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +from graphrag.index.workflows import WorkflowDefinitions + +# Sets up the list of custom workflows that can be used in a pipeline +# The idea being that you can have a pool of workflows that can be used in any number of +# your pipelines +custom_workflows: WorkflowDefinitions = { + "my_workflow": lambda config: [ + { + "verb": "derive", + "args": { + "column1": "col1", # looks for col1 in the dataset + "column2": "col2", # looks for col2 in the dataset + "to": config.get( + # Allow the user to specify the output column name, + # otherwise default to "output_column" + "derive_output_column", + "output_column", + ), # new column name, + "operator": "*", + }, + } + ], + "my_unused_workflow": lambda _config: [ + { + "verb": "derive", + "args": { + "column1": "col1", # looks for col1 in the dataset + "column2": "col2", # looks for col2 in the dataset + "to": "unused_output_column", + "operator": "*", + }, + } + ], +} diff --git a/examples/custom_set_of_available_workflows/pipeline.yml b/examples/custom_set_of_available_workflows/pipeline.yml new file mode 100644 index 00000000..0ce004d1 --- /dev/null +++ b/examples/custom_set_of_available_workflows/pipeline.yml @@ -0,0 +1,4 @@ +workflows: + - name: my_workflow + config: + derive_output_column: "col_1_multiplied" diff --git a/examples/custom_set_of_available_workflows/run.py b/examples/custom_set_of_available_workflows/run.py new file mode 100644 index 00000000..c91f24f7 --- /dev/null +++ b/examples/custom_set_of_available_workflows/run.py @@ -0,0 +1,85 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +import asyncio +import os + +import pandas as pd + +from examples.custom_set_of_available_workflows.custom_workflow_definitions import ( + custom_workflows, +) +from graphrag.index import run_pipeline, run_pipeline_with_config +from graphrag.index.config import PipelineWorkflowReference + +sample_data_dir = os.path.join( + os.path.dirname(os.path.abspath(__file__)), "../_sample_data/" +) + +# our fake dataset +dataset = pd.DataFrame([{"col1": 2, "col2": 4}, {"col1": 5, "col2": 10}]) + + +async def run_with_config(): + """Run a pipeline with a config file""" + # load pipeline.yml in this directory + config_path = os.path.join( + os.path.dirname(os.path.abspath(__file__)), "./pipeline.yml" + ) + + # Grab the last result from the pipeline, should be our entity extraction + tables = [] + async for table in run_pipeline_with_config( + config_or_path=config_path, + dataset=dataset, + additional_workflows=custom_workflows, + ): + tables.append(table) + pipeline_result = tables[-1] + + if pipeline_result.result is not None: + # Should look something like this: + # col1 col2 col_1_multiplied + # 0 2 4 8 + # 1 5 10 50 + print(pipeline_result.result) + else: + print("No results!") + + +async def run_python(): + """Run a pipeline using the python API""" + # Define the actual workflows to be run, this is identical to the python api + # but we're defining the workflows to be run via python instead of via a config file + workflows: list[PipelineWorkflowReference] = [ + # run my_workflow against the dataset, notice we're only using the "my_workflow" workflow + # and not the "my_unused_workflow" workflow + PipelineWorkflowReference( + name="my_workflow", # should match the name of the workflow in the custom_workflows dict above + config={ # pass in a config + # set the derive_output_column to be "col_1_multiplied", this will be passed to the workflow definition above + "derive_output_column": "col_1_multiplied" + }, + ), + ] + + # Grab the last result from the pipeline, should be our entity extraction + tables = [] + async for table in run_pipeline( + workflows, dataset=dataset, additional_workflows=custom_workflows + ): + tables.append(table) + pipeline_result = tables[-1] + + if pipeline_result.result is not None: + # Should look something like this: + # col1 col2 col_1_multiplied + # 0 2 4 8 + # 1 5 10 50 + print(pipeline_result.result) + else: + print("No results!") + + +if __name__ == "__main__": + asyncio.run(run_python()) + asyncio.run(run_with_config()) diff --git a/examples/entity_extraction/__init__.py b/examples/entity_extraction/__init__.py new file mode 100644 index 00000000..0a3e38ad --- /dev/null +++ b/examples/entity_extraction/__init__.py @@ -0,0 +1,2 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License diff --git a/examples/entity_extraction/with_graph_intelligence/__init__.py b/examples/entity_extraction/with_graph_intelligence/__init__.py new file mode 100644 index 00000000..0a3e38ad --- /dev/null +++ b/examples/entity_extraction/with_graph_intelligence/__init__.py @@ -0,0 +1,2 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License diff --git a/examples/entity_extraction/with_graph_intelligence/pipeline.yml b/examples/entity_extraction/with_graph_intelligence/pipeline.yml new file mode 100644 index 00000000..ffa5bee8 --- /dev/null +++ b/examples/entity_extraction/with_graph_intelligence/pipeline.yml @@ -0,0 +1,16 @@ +workflows: + - name: "entity_extraction" + config: + entity_extract: + strategy: + type: "graph_intelligence" + llm: + type: "openai_chat" + + # create a .env file in the same directory as this pipeline.yml file + # end add the following lines to it: + # EXAMPLE_OPENAI_API_KEY="YOUR_API_KEY" + api_key: !ENV ${EXAMPLE_OPENAI_API_KEY:None} # None is the default + model: !ENV ${EXAMPLE_OPENAI_MODEL:gpt-3.5-turbo} # gpt-3.5-turbo is the default + max_tokens: !ENV ${EXAMPLE_OPENAI_MAX_TOKENS:2500} # 2500 is the default + temperature: !ENV ${EXAMPLE_OPENAI_TEMPERATURE:0} # 0 is the default diff --git a/examples/entity_extraction/with_graph_intelligence/run.py b/examples/entity_extraction/with_graph_intelligence/run.py new file mode 100644 index 00000000..0ec54dda --- /dev/null +++ b/examples/entity_extraction/with_graph_intelligence/run.py @@ -0,0 +1,111 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +import asyncio +import os + +from graphrag.index import run_pipeline, run_pipeline_with_config +from graphrag.index.config import PipelineCSVInputConfig, PipelineWorkflowReference +from graphrag.index.input import load_input + +sample_data_dir = os.path.join( + os.path.dirname(os.path.abspath(__file__)), "../../_sample_data/" +) + +shared_dataset = asyncio.run( + load_input( + PipelineCSVInputConfig( + file_pattern=".*\\.csv$", + base_dir=sample_data_dir, + source_column="author", + text_column="message", + timestamp_column="date(yyyyMMddHHmmss)", + timestamp_format="%Y%m%d%H%M%S", + title_column="message", + ), + ) +) + + +async def run_with_config(): + """Run a pipeline with a config file""" + # We're cheap, and this is an example, lets just do 10 + dataset = shared_dataset.head(10) + + # load pipeline.yml in this directory + config_path = os.path.join( + os.path.dirname(os.path.abspath(__file__)), "./pipeline.yml" + ) + + # Grab the last result from the pipeline, should be our entity extraction + tables = [] + async for table in run_pipeline_with_config( + config_or_path=config_path, dataset=dataset + ): + tables.append(table) + pipeline_result = tables[-1] + + # Print the entities. This will be a row for each text unit, each with a list of entities, + # This should look pretty close to the python version, but since we're using an LLM + # it will be a little different depending on how it feels about the text + if pipeline_result.result is not None: + print(pipeline_result.result["entities"].to_list()) + else: + print("No results!") + + +async def run_python(): + if ( + "EXAMPLE_OPENAI_API_KEY" not in os.environ + and "OPENAI_API_KEY" not in os.environ + ): + msg = "Please set EXAMPLE_OPENAI_API_KEY or OPENAI_API_KEY environment variable to run this example" + raise Exception(msg) + + # We're cheap, and this is an example, lets just do 10 + dataset = shared_dataset.head(10) + + workflows: list[PipelineWorkflowReference] = [ + PipelineWorkflowReference( + name="entity_extraction", + config={ + "entity_extract": { + "strategy": { + "type": "graph_intelligence", + "llm": { + "type": "openai_chat", + "api_key": os.environ.get( + "EXAMPLE_OPENAI_API_KEY", + os.environ.get("OPENAI_API_KEY", None), + ), + "model": os.environ.get( + "EXAMPLE_OPENAI_MODEL", "gpt-3.5-turbo" + ), + "max_tokens": os.environ.get( + "EXAMPLE_OPENAI_MAX_TOKENS", 2500 + ), + "temperature": os.environ.get( + "EXAMPLE_OPENAI_TEMPERATURE", 0 + ), + }, + } + } + }, + ) + ] + + # Grab the last result from the pipeline, should be our entity extraction + tables = [] + async for table in run_pipeline(dataset=dataset, workflows=workflows): + tables.append(table) + pipeline_result = tables[-1] + + # Print the entities. This will be a row for each text unit, each with a list of entities + if pipeline_result.result is not None: + print(pipeline_result.result["entities"].to_list()) + else: + print("No results!") + + +if __name__ == "__main__": + asyncio.run(run_python()) + asyncio.run(run_with_config()) diff --git a/examples/entity_extraction/with_nltk/__init__.py b/examples/entity_extraction/with_nltk/__init__.py new file mode 100644 index 00000000..0a3e38ad --- /dev/null +++ b/examples/entity_extraction/with_nltk/__init__.py @@ -0,0 +1,2 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License diff --git a/examples/entity_extraction/with_nltk/pipeline.yml b/examples/entity_extraction/with_nltk/pipeline.yml new file mode 100644 index 00000000..10984f34 --- /dev/null +++ b/examples/entity_extraction/with_nltk/pipeline.yml @@ -0,0 +1,6 @@ +workflows: + - name: "entity_extraction" + config: + entity_extract: + strategy: + type: "nltk" \ No newline at end of file diff --git a/examples/entity_extraction/with_nltk/run.py b/examples/entity_extraction/with_nltk/run.py new file mode 100644 index 00000000..68575ad6 --- /dev/null +++ b/examples/entity_extraction/with_nltk/run.py @@ -0,0 +1,78 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +import asyncio +import os + +from graphrag.index import run_pipeline, run_pipeline_with_config +from graphrag.index.config import PipelineCSVInputConfig, PipelineWorkflowReference +from graphrag.index.input import load_input + +sample_data_dir = os.path.join( + os.path.dirname(os.path.abspath(__file__)), "../../_sample_data/" +) +shared_dataset = asyncio.run( + load_input( + PipelineCSVInputConfig( + file_pattern=".*\\.csv$", + base_dir=sample_data_dir, + source_column="author", + text_column="message", + timestamp_column="date(yyyyMMddHHmmss)", + timestamp_format="%Y%m%d%H%M%S", + title_column="message", + ), + ) +) + + +async def run_with_config(): + """Run a pipeline with a config file""" + # We're cheap, and this is an example, lets just do 10 + dataset = shared_dataset.head(10) + + # load pipeline.yml in this directory + config_path = os.path.join( + os.path.dirname(os.path.abspath(__file__)), "./pipeline.yml" + ) + + # Grab the last result from the pipeline, should be our entity extraction + tables = [] + async for table in run_pipeline_with_config( + config_or_path=config_path, dataset=dataset + ): + tables.append(table) + pipeline_result = tables[-1] + + # Print the entities. This will be a row for each text unit, each with a list of entities + if pipeline_result.result is not None: + print(pipeline_result.result["entities"].to_list()) + else: + print("No results!") + + +async def run_python(): + dataset = shared_dataset.head(10) + + workflows: list[PipelineWorkflowReference] = [ + PipelineWorkflowReference( + name="entity_extraction", + config={"entity_extract": {"strategy": {"type": "nltk"}}}, + ) + ] + + # Grab the last result from the pipeline, should be our entity extraction + tables = [] + async for table in run_pipeline(dataset=dataset, workflows=workflows): + tables.append(table) + pipeline_result = tables[-1] + + # Print the entities. This will be a row for each text unit, each with a list of entities + if pipeline_result.result is not None: + print(pipeline_result.result["entities"].to_list()) + else: + print("No results!") + + +if __name__ == "__main__": + asyncio.run(run_python()) + asyncio.run(run_with_config()) diff --git a/examples/interdependent_workflows/__init__.py b/examples/interdependent_workflows/__init__.py new file mode 100644 index 00000000..0a3e38ad --- /dev/null +++ b/examples/interdependent_workflows/__init__.py @@ -0,0 +1,2 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License diff --git a/examples/interdependent_workflows/pipeline.yml b/examples/interdependent_workflows/pipeline.yml new file mode 100644 index 00000000..30bf81f9 --- /dev/null +++ b/examples/interdependent_workflows/pipeline.yml @@ -0,0 +1,23 @@ +workflows: + - name: aggregate_workflow + steps: + - verb: "aggregate" # https://github.com/microsoft/datashaper/blob/main/python/datashaper/datashaper/engine/verbs/aggregate.py + args: + groupby: "type" + column: "col_multiplied" + to: "aggregated_output" + operation: "sum" + input: + source: "workflow:derive_workflow" # reference the derive_workflow, cause this one requires that one to run first + # Notice, these are out of order, the indexing engine will figure out the right order to run them in + + - name: derive_workflow + steps: + - verb: "derive" # https://github.com/microsoft/datashaper/blob/main/python/datashaper/datashaper/engine/verbs/derive.py + args: + column1: "col1" # from above + column2: "col2" # from above + to: "col_multiplied" # new column name + operator: "*" # multiply the two columns, + # Since we're trying to act on the dataset, we don't need explicitly to specify an input + # "input": { "source": "source" } # use the dataset as the input to this verb. This is the default, so you can omit it. \ No newline at end of file diff --git a/examples/interdependent_workflows/run.py b/examples/interdependent_workflows/run.py new file mode 100644 index 00000000..9b486fa0 --- /dev/null +++ b/examples/interdependent_workflows/run.py @@ -0,0 +1,102 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +import asyncio +import os + +import pandas as pd + +from graphrag.index import run_pipeline, run_pipeline_with_config +from graphrag.index.config import PipelineWorkflowReference + +# Our fake dataset +dataset = pd.DataFrame([ + {"type": "A", "col1": 2, "col2": 4}, + {"type": "A", "col1": 5, "col2": 10}, + {"type": "A", "col1": 15, "col2": 26}, + {"type": "B", "col1": 6, "col2": 15}, +]) + + +async def run_with_config(): + """Run a pipeline with a config file""" + # load pipeline.yml in this directory + config_path = os.path.join( + os.path.dirname(os.path.abspath(__file__)), "./pipeline.yml" + ) + + tables = [] + async for table in run_pipeline_with_config( + config_or_path=config_path, dataset=dataset + ): + tables.append(table) + pipeline_result = tables[-1] + + if pipeline_result.result is not None: + # Should look something like this, which should be identical to the python example: + # type aggregated_output + # 0 A 448 + # 1 B 90 + print(pipeline_result.result) + else: + print("No results!") + + +async def run_python(): + workflows: list[PipelineWorkflowReference] = [ + PipelineWorkflowReference( + name="aggregate_workflow", + steps=[ + { + "verb": "aggregate", # https://github.com/microsoft/datashaper/blob/main/python/datashaper/datashaper/engine/verbs/aggregate.py + "args": { + "groupby": "type", + "column": "col_multiplied", + "to": "aggregated_output", + "operation": "sum", + }, + "input": { + "source": "workflow:derive_workflow", # reference the derive_workflow, cause this one requires that one to run first + # Notice, these are out of order, the indexing engine will figure out the right order to run them in + }, + } + ], + ), + PipelineWorkflowReference( + name="derive_workflow", + steps=[ + { + # built-in verb + "verb": "derive", # https://github.com/microsoft/datashaper/blob/main/python/datashaper/datashaper/engine/verbs/derive.py + "args": { + "column1": "col1", # from above + "column2": "col2", # from above + "to": "col_multiplied", # new column name + "operator": "*", # multiply the two columns, + }, + # Since we're trying to act on the default input, we don't need explicitly to specify an input + } + ], + ), + ] + + # Grab the last result from the pipeline, should be our aggregate_workflow since it should be the last one to run + tables = [] + async for table in run_pipeline(dataset=dataset, workflows=workflows): + tables.append(table) + pipeline_result = tables[-1] + + if pipeline_result.result is not None: + # Should look something like this: + # type aggregated_output + # 0 A 448 + # 1 B 90 + + # This is because we first in "derive_workflow" we multiply col1 and col2 together, then in "aggregate_workflow" we sum them up by type + print(pipeline_result.result) + else: + print("No results!") + + +if __name__ == "__main__": + asyncio.run(run_python()) + asyncio.run(run_with_config()) diff --git a/examples/multiple_workflows/__init__.py b/examples/multiple_workflows/__init__.py new file mode 100644 index 00000000..0a3e38ad --- /dev/null +++ b/examples/multiple_workflows/__init__.py @@ -0,0 +1,2 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License diff --git a/examples/multiple_workflows/pipeline.yml b/examples/multiple_workflows/pipeline.yml new file mode 100644 index 00000000..1cbbaba7 --- /dev/null +++ b/examples/multiple_workflows/pipeline.yml @@ -0,0 +1,4 @@ +workflows: + - !include workflows/workflow_1.yml + - !include workflows/workflow_2.yml + - !include workflows/workflow_3.yml \ No newline at end of file diff --git a/examples/multiple_workflows/run.py b/examples/multiple_workflows/run.py new file mode 100644 index 00000000..a5836327 --- /dev/null +++ b/examples/multiple_workflows/run.py @@ -0,0 +1,43 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +import asyncio +import os + +from graphrag.index import run_pipeline_with_config +from graphrag.index.config import PipelineCSVInputConfig +from graphrag.index.input import load_input + +sample_data_dir = os.path.join( + os.path.dirname(os.path.abspath(__file__)), "./../_sample_data/" +) + + +async def run_with_config(): + dataset = await load_input( + PipelineCSVInputConfig( + file_pattern=".*\\.csv$", + base_dir=sample_data_dir, + source_column="author", + text_column="message", + timestamp_column="date(yyyyMMddHHmmss)", + timestamp_format="%Y%m%d%H%M%S", + title_column="message", + ), + ) + + # We're cheap, and this is an example, lets just do 10 + dataset = dataset.head(2) + + # run the pipeline with the config, and override the dataset with the one we just created + # and grab the last result from the pipeline, should be the last workflow that was run (our nodes) + pipeline_path = os.path.join( + os.path.dirname(os.path.abspath(__file__)), "./pipeline.yml" + ) + + async for result in run_pipeline_with_config(pipeline_path, dataset=dataset): + print(f"Workflow {result.workflow} result\n: ") + print(result.result) + + +if __name__ == "__main__": + asyncio.run(run_with_config()) diff --git a/examples/multiple_workflows/workflows/shared/shared_fill_value.txt b/examples/multiple_workflows/workflows/shared/shared_fill_value.txt new file mode 100644 index 00000000..5f790cbc --- /dev/null +++ b/examples/multiple_workflows/workflows/shared/shared_fill_value.txt @@ -0,0 +1 @@ +value_from_shared_file \ No newline at end of file diff --git a/examples/multiple_workflows/workflows/workflow_1.yml b/examples/multiple_workflows/workflows/workflow_1.yml new file mode 100644 index 00000000..9ed87e1c --- /dev/null +++ b/examples/multiple_workflows/workflows/workflow_1.yml @@ -0,0 +1,6 @@ +name: workflow_1 +steps: + - verb: fill + args: + to: "col_workflow_1" + value: 1 diff --git a/examples/multiple_workflows/workflows/workflow_2.yml b/examples/multiple_workflows/workflows/workflow_2.yml new file mode 100644 index 00000000..c08147f2 --- /dev/null +++ b/examples/multiple_workflows/workflows/workflow_2.yml @@ -0,0 +1,17 @@ +name: workflow_2 +steps: + - verb: fill + args: + to: "col_workflow_2" + value: 2 + input: + + # workflow_2 is dependent on workflow_1 + # so in workflow_2 output, you'll also see the output from workflow_1 + source: "workflow:workflow_1" + + # Example of pulling in values from a shared file + - verb: fill + args: + to: "col_from_shared_file" + value: !include ./shared/shared_fill_value.txt diff --git a/examples/multiple_workflows/workflows/workflow_3.yml b/examples/multiple_workflows/workflows/workflow_3.yml new file mode 100644 index 00000000..1a65f2d6 --- /dev/null +++ b/examples/multiple_workflows/workflows/workflow_3.yml @@ -0,0 +1,6 @@ +name: workflow_3 +steps: + - verb: fill + args: + to: "col_workflow_3" + value: 3 diff --git a/examples/single_verb/__init__.py b/examples/single_verb/__init__.py new file mode 100644 index 00000000..0a3e38ad --- /dev/null +++ b/examples/single_verb/__init__.py @@ -0,0 +1,2 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License diff --git a/examples/single_verb/input/data.csv b/examples/single_verb/input/data.csv new file mode 100644 index 00000000..d1aaf77b --- /dev/null +++ b/examples/single_verb/input/data.csv @@ -0,0 +1,3 @@ +col1,col2 +2,4 +5,10 \ No newline at end of file diff --git a/examples/single_verb/pipeline.yml b/examples/single_verb/pipeline.yml new file mode 100644 index 00000000..ea783d30 --- /dev/null +++ b/examples/single_verb/pipeline.yml @@ -0,0 +1,12 @@ +input: + file_type: csv + base_dir: ./input + file_pattern: .*\.csv$ +workflows: + - steps: + - verb: derive # https://github.com/microsoft/datashaper/blob/main/python/datashaper/datashaper/engine/verbs/derive.py + args: + column1: "col1" + column2: "col2" + to: "col_multiplied" + operator: "*" diff --git a/examples/single_verb/run.py b/examples/single_verb/run.py new file mode 100644 index 00000000..4c9f5225 --- /dev/null +++ b/examples/single_verb/run.py @@ -0,0 +1,77 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +import asyncio +import os + +import pandas as pd + +from graphrag.index import run_pipeline, run_pipeline_with_config +from graphrag.index.config import PipelineWorkflowReference + +# our fake dataset +dataset = pd.DataFrame([{"col1": 2, "col2": 4}, {"col1": 5, "col2": 10}]) + + +async def run_with_config(): + """Run a pipeline with a config file""" + # load pipeline.yml in this directory + config_path = os.path.join( + os.path.dirname(os.path.abspath(__file__)), "./pipeline.yml" + ) + + tables = [] + async for table in run_pipeline_with_config( + config_or_path=config_path, dataset=dataset + ): + tables.append(table) + pipeline_result = tables[-1] + + if pipeline_result.result is not None: + # Should look something like this, which should be identical to the python example: + # col1 col2 col_multiplied + # 0 2 4 8 + # 1 5 10 50 + print(pipeline_result.result) + else: + print("No results!") + + +async def run_python(): + """Run a pipeline using the python API""" + workflows: list[PipelineWorkflowReference] = [ + PipelineWorkflowReference( + steps=[ + { + # built-in verb + "verb": "derive", # https://github.com/microsoft/datashaper/blob/main/python/datashaper/datashaper/engine/verbs/derive.py + "args": { + "column1": "col1", # from above + "column2": "col2", # from above + "to": "col_multiplied", # new column name + "operator": "*", # multiply the two columns + }, + # Since we're trying to act on the default input, we don't need explicitly to specify an input + } + ] + ), + ] + + # Grab the last result from the pipeline, should be our entity extraction + tables = [] + async for table in run_pipeline(dataset=dataset, workflows=workflows): + tables.append(table) + pipeline_result = tables[-1] + + if pipeline_result.result is not None: + # Should look something like this: + # col1 col2 col_multiplied + # 0 2 4 8 + # 1 5 10 50 + print(pipeline_result.result) + else: + print("No results!") + + +if __name__ == "__main__": + asyncio.run(run_with_config()) + asyncio.run(run_python()) diff --git a/examples/use_built_in_workflows/__init__.py b/examples/use_built_in_workflows/__init__.py new file mode 100644 index 00000000..0a3e38ad --- /dev/null +++ b/examples/use_built_in_workflows/__init__.py @@ -0,0 +1,2 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License diff --git a/examples/use_built_in_workflows/pipeline.yml b/examples/use_built_in_workflows/pipeline.yml new file mode 100644 index 00000000..cb189685 --- /dev/null +++ b/examples/use_built_in_workflows/pipeline.yml @@ -0,0 +1,23 @@ +workflows: + - name: "entity_extraction" + config: + entity_extract: + strategy: + type: "nltk" + + - name: "entity_graph" + config: + cluster_graph: + strategy: + type: "leiden" + embed_graph: + strategy: + type: "node2vec" + num_walks: 10 + walk_length: 40 + window_size: 2 + iterations: 3 + random_seed: 597832 + layout_graph: + strategy: + type: "umap" \ No newline at end of file diff --git a/examples/use_built_in_workflows/run.py b/examples/use_built_in_workflows/run.py new file mode 100644 index 00000000..def3a0a6 --- /dev/null +++ b/examples/use_built_in_workflows/run.py @@ -0,0 +1,117 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +import asyncio +import os + +from graphrag.index import run_pipeline, run_pipeline_with_config +from graphrag.index.config import PipelineCSVInputConfig, PipelineWorkflowReference +from graphrag.index.input import load_input + +sample_data_dir = os.path.join( + os.path.dirname(os.path.abspath(__file__)), "../_sample_data/" +) + +# Load our dataset once +shared_dataset = asyncio.run( + load_input( + PipelineCSVInputConfig( + file_pattern=".*\\.csv$", + base_dir=sample_data_dir, + source_column="author", + text_column="message", + timestamp_column="date(yyyyMMddHHmmss)", + timestamp_format="%Y%m%d%H%M%S", + title_column="message", + ), + ) +) + + +async def run_with_config(): + """Run a pipeline with a config file""" + # We're cheap, and this is an example, lets just do 10 + dataset = shared_dataset.head(10) + + # load pipeline.yml in this directory + config_path = os.path.join( + os.path.dirname(os.path.abspath(__file__)), "./pipeline.yml" + ) + + # Grab the last result from the pipeline, should be our entity extraction + tables = [] + async for table in run_pipeline_with_config( + config_or_path=config_path, dataset=dataset + ): + tables.append(table) + pipeline_result = tables[-1] + + if pipeline_result.result is not None: + # The output of this should match the run_python() example + first_result = pipeline_result.result.head(1) + print(f"level: {first_result['level'][0]}") + print(f"embeddings: {first_result['embeddings'][0]}") + print(f"entity_graph_positions: {first_result['node_positions'][0]}") + else: + print("No results!") + + +async def run_python(): + # We're cheap, and this is an example, lets just do 10 + dataset = shared_dataset.head(10) + + workflows: list[PipelineWorkflowReference] = [ + # This workflow reference here is only necessary + # because we want to customize the entity_extraction workflow is configured + # otherwise, it can be omitted, but you're stuck with the default configuration for entity_extraction + PipelineWorkflowReference( + name="entity_extraction", + config={ + "entity_extract": { + "strategy": { + "type": "nltk", + } + } + }, + ), + PipelineWorkflowReference( + name="entity_graph", + config={ + "cluster_graph": {"strategy": {"type": "leiden"}}, + "embed_graph": { + "strategy": { + "type": "node2vec", + "num_walks": 10, + "walk_length": 40, + "window_size": 2, + "iterations": 3, + "random_seed": 597832, + } + }, + "layout_graph": { + "strategy": { + "type": "umap", + }, + }, + }, + ), + ] + + # Grab the last result from the pipeline, should be our entity extraction + tables = [] + async for table in run_pipeline(dataset=dataset, workflows=workflows): + tables.append(table) + pipeline_result = tables[-1] + + # The output will contain entity graphs per hierarchical level, with embeddings per entity + if pipeline_result.result is not None: + first_result = pipeline_result.result.head(1) + print(f"level: {first_result['level'][0]}") + print(f"embeddings: {first_result['embeddings'][0]}") + print(f"entity_graph_positions: {first_result['node_positions'][0]}") + else: + print("No results!") + + +if __name__ == "__main__": + asyncio.run(run_python()) + asyncio.run(run_with_config()) diff --git a/examples/various_levels_of_configs/__init__.py b/examples/various_levels_of_configs/__init__.py new file mode 100644 index 00000000..0a3e38ad --- /dev/null +++ b/examples/various_levels_of_configs/__init__.py @@ -0,0 +1,2 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License diff --git a/examples/various_levels_of_configs/pipelines/workflows_and_inputs.yml b/examples/various_levels_of_configs/pipelines/workflows_and_inputs.yml new file mode 100644 index 00000000..0a653831 --- /dev/null +++ b/examples/various_levels_of_configs/pipelines/workflows_and_inputs.yml @@ -0,0 +1,64 @@ +input: + file_type: csv + base_dir: ../../_sample_data + file_pattern: .*\.csv$ + source_column: "author" + text_column: "message" + timestamp_column: "date(yyyyMMddHHmmss)" + timestamp_format: "%Y%m%d%H%M%S" + title_column: "message" + + # Limit to 10, we're not rich + post_process: + - verb: sample + args: + size: 10 + input: + source: source + +workflows: + + # This workflow reference here is only necessary + # because we want to customize the how the entity_extraction workflow is configured + # otherwise, it can be omitted, but you're stuck with the default configuration for entity_extraction + - name: entity_extraction + config: + entity_extract: + strategy: + type: graph_intelligence + llm: + type: openai_chat + api_key: !ENV ${EXAMPLE_OPENAI_API_KEY} + model: !ENV ${EXAMPLE_OPENAI_MODEL:gpt-3.5-turbo} + max_tokens: !ENV ${EXAMPLE_OPENAI_MAX_TOKENS:2500} + temperature: !ENV ${EXAMPLE_OPENAI_TEMPERATURE:0} + + - name: entity_graph + config: + cluster_graph: + strategy: + type: leiden + embed_graph: + strategy: + type: node2vec + num_walks: 10 + walk_length: 40 + window_size: 2 + iterations: 3 + random_seed: 597832 + layout_graph: + strategy: + type: umap + + # This is an anonymous workflow, it doesn't have a name + - steps: + + # Unpack the nodes from the graph + - verb: graph.unpack + args: + column: positioned_graph + type: nodes + input: + + # This is saying use the output of the entity_graph workflow as the input to this step + source: workflow:entity_graph \ No newline at end of file diff --git a/examples/various_levels_of_configs/pipelines/workflows_only.yml b/examples/various_levels_of_configs/pipelines/workflows_only.yml new file mode 100644 index 00000000..2c3c43de --- /dev/null +++ b/examples/various_levels_of_configs/pipelines/workflows_only.yml @@ -0,0 +1,46 @@ +workflows: + + # This workflow reference here is only necessary + # because we want to customize the how the entity_extraction workflow is configured + # otherwise, it can be omitted, but you're stuck with the default configuration for entity_extraction + - name: entity_extraction + config: + entity_extract: + strategy: + type: graph_intelligence + llm: + type: openai_chat + api_key: !ENV ${EXAMPLE_OPENAI_API_KEY} + model: !ENV ${EXAMPLE_OPENAI_MODEL:gpt-3.5-turbo} + max_tokens: !ENV ${EXAMPLE_OPENAI_MAX_TOKENS:2500} + temperature: !ENV ${EXAMPLE_OPENAI_TEMPERATURE:0} + + - name: entity_graph + config: + cluster_graph: + strategy: + type: leiden + embed_graph: + strategy: + type: node2vec + num_walks: 10 + walk_length: 40 + window_size: 2 + iterations: 3 + random_seed: 597832 + layout_graph: + strategy: + type: umap + + # This is an anonymous workflow, it doesn't have a name + - steps: + + # Unpack the nodes from the graph + - verb: graph.unpack + args: + column: positioned_graph + type: nodes + input: + + # This is saying use the output of the entity_graph workflow as the input to this step + source: workflow:entity_graph \ No newline at end of file diff --git a/examples/various_levels_of_configs/workflows_and_inputs.py b/examples/various_levels_of_configs/workflows_and_inputs.py new file mode 100644 index 00000000..87c7c2f8 --- /dev/null +++ b/examples/various_levels_of_configs/workflows_and_inputs.py @@ -0,0 +1,40 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +import asyncio +import os + +from graphrag.index import run_pipeline_with_config + + +async def main(): + if ( + "EXAMPLE_OPENAI_API_KEY" not in os.environ + and "OPENAI_API_KEY" not in os.environ + ): + msg = "Please set EXAMPLE_OPENAI_API_KEY or OPENAI_API_KEY environment variable to run this example" + raise Exception(msg) + + # run the pipeline with the config, and override the dataset with the one we just created + # and grab the last result from the pipeline, should be our entity extraction + pipeline_path = os.path.join( + os.path.dirname(os.path.abspath(__file__)), + "./pipelines/workflows_and_inputs.yml", + ) + + # run the pipeline with the config, and override the dataset with the one we just created + # and grab the last result from the pipeline, should be the last workflow that was run (our nodes) + tables = [] + async for table in run_pipeline_with_config(pipeline_path): + tables.append(table) + pipeline_result = tables[-1] + + # The output will contain a list of positioned nodes + if pipeline_result.result is not None: + top_nodes = pipeline_result.result.head(10) + print("pipeline result", top_nodes) + else: + print("No results!") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/examples/various_levels_of_configs/workflows_and_inputs_with_custom_handlers.py b/examples/various_levels_of_configs/workflows_and_inputs_with_custom_handlers.py new file mode 100644 index 00000000..880c72ad --- /dev/null +++ b/examples/various_levels_of_configs/workflows_and_inputs_with_custom_handlers.py @@ -0,0 +1,131 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +import asyncio +import os +from typing import Any + +from datashaper import NoopWorkflowCallbacks, Progress + +from graphrag.index import run_pipeline_with_config +from graphrag.index.cache import InMemoryCache, PipelineCache +from graphrag.index.storage import MemoryPipelineStorage + + +async def main(): + if ( + "EXAMPLE_OPENAI_API_KEY" not in os.environ + and "OPENAI_API_KEY" not in os.environ + ): + msg = "Please set EXAMPLE_OPENAI_API_KEY or OPENAI_API_KEY environment variable to run this example" + raise Exception(msg) + + # run the pipeline with the config, and override the dataset with the one we just created + # and grab the last result from the pipeline, should be our entity extraction + pipeline_path = os.path.join( + os.path.dirname(os.path.abspath(__file__)), + "./pipelines/workflows_and_inputs.yml", + ) + + # Create our custom storage + custom_storage = ExampleStorage() + + # Create our custom reporter + custom_reporter = ExampleReporter() + + # Create our custom cache + custom_cache = ExampleCache() + + # run the pipeline with the config, and override the dataset with the one we just created + # and grab the last result from the pipeline, should be the last workflow that was run (our nodes) + pipeline_result = [] + async for result in run_pipeline_with_config( + pipeline_path, + storage=custom_storage, + callbacks=custom_reporter, + cache=custom_cache, + ): + pipeline_result.append(result) + pipeline_result = pipeline_result[-1] + + # The output will contain a list of positioned nodes + if pipeline_result.result is not None: + top_nodes = pipeline_result.result.head(10) + print("pipeline result", top_nodes) + else: + print("No results!") + + +class ExampleStorage(MemoryPipelineStorage): + """Example of a custom storage handler""" + + async def get( + self, key: str, as_bytes: bool | None = None, encoding: str | None = None + ) -> Any: + print(f"ExampleStorage.get {key}") + return await super().get(key, as_bytes) + + async def set( + self, key: str, value: str | bytes | None, encoding: str | None = None + ) -> None: + print(f"ExampleStorage.set {key}") + return await super().set(key, value) + + async def has(self, key: str) -> bool: + print(f"ExampleStorage.has {key}") + return await super().has(key) + + async def delete(self, key: str) -> None: + print(f"ExampleStorage.delete {key}") + return await super().delete(key) + + async def clear(self) -> None: + print("ExampleStorage.clear") + return await super().clear() + + +class ExampleCache(InMemoryCache): + """Example of a custom cache handler""" + + async def get(self, key: str) -> Any: + print(f"ExampleCache.get {key}") + return await super().get(key) + + async def set(self, key: str, value: Any, debug_data: dict | None = None) -> None: + print(f"ExampleCache.set {key}") + return await super().set(key, value, debug_data) + + async def has(self, key: str) -> bool: + print(f"ExampleCache.has {key}") + return await super().has(key) + + async def delete(self, key: str) -> None: + print(f"ExampleCache.delete {key}") + return await super().delete(key) + + async def clear(self) -> None: + print("ExampleCache.clear") + return await super().clear() + + def child(self, name: str) -> PipelineCache: + print(f"ExampleCache.child {name}") + return ExampleCache(name) + + +class ExampleReporter(NoopWorkflowCallbacks): + """Example of a custom reporter. This will print out all of the status updates from the pipeline.""" + + def progress(self, progress: Progress): + print("ExampleReporter.progress: ", progress) + + def error(self, message: str, details: dict[str, Any] | None = None): + print("ExampleReporter.error: ", message) + + def warning(self, message: str, details: dict[str, Any] | None = None): + print("ExampleReporter.warning: ", message) + + def log(self, message: str, details: dict[str, Any] | None = None): + print("ExampleReporter.log: ", message) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/examples/various_levels_of_configs/workflows_only.py b/examples/various_levels_of_configs/workflows_only.py new file mode 100644 index 00000000..192297eb --- /dev/null +++ b/examples/various_levels_of_configs/workflows_only.py @@ -0,0 +1,59 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +import asyncio +import os + +from graphrag.index import run_pipeline_with_config +from graphrag.index.config import PipelineCSVInputConfig +from graphrag.index.input import load_input + +sample_data_dir = os.path.join( + os.path.dirname(os.path.abspath(__file__)), "../_sample_data/" +) + + +async def main(): + if ( + "EXAMPLE_OPENAI_API_KEY" not in os.environ + and "OPENAI_API_KEY" not in os.environ + ): + msg = "Please set EXAMPLE_OPENAI_API_KEY or OPENAI_API_KEY environment variable to run this example" + raise Exception(msg) + + dataset = await load_input( + PipelineCSVInputConfig( + file_pattern=".*\\.csv$", + base_dir=sample_data_dir, + source_column="author", + text_column="message", + timestamp_column="date(yyyyMMddHHmmss)", + timestamp_format="%Y%m%d%H%M%S", + title_column="message", + ), + ) + + # We're cheap, and this is an example, lets just do 10 + dataset = dataset.head(10) + + # run the pipeline with the config, and override the dataset with the one we just created + # and grab the last result from the pipeline, should be the last workflow that was run (our nodes) + pipeline_path = os.path.join( + os.path.dirname(os.path.abspath(__file__)), "./pipelines/workflows_only.yml" + ) + tables = [] + async for table in run_pipeline_with_config(pipeline_path, dataset=dataset): + tables.append(table) + pipeline_result = tables[-1] + + # The output will contain a list of positioned nodes + if pipeline_result.result is not None: + top_nodes = pipeline_result.result.head(10) + print( + "pipeline result\ncols: ", pipeline_result.result.columns, "\n", top_nodes + ) + else: + print("No results!") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/examples_notebooks/global_search.ipynb b/examples_notebooks/global_search.ipynb new file mode 100644 index 00000000..fdde2c70 --- /dev/null +++ b/examples_notebooks/global_search.ipynb @@ -0,0 +1,264 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'\\nCopyright (c) Microsoft Corporation.\\n'" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Copyright (c) 2024 Microsoft Corporation.\n", + "# Licensed under the MIT License." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "\n", + "import pandas as pd\n", + "import tiktoken\n", + "\n", + "from graphrag.query.indexer_adapters import read_indexer_entities, read_indexer_reports\n", + "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", + "from graphrag.query.llm.oai.typing import OpenaiApiType\n", + "from graphrag.query.structured_search.global_search.community_context import (\n", + " GlobalCommunityContext,\n", + ")\n", + "from graphrag.query.structured_search.global_search.search import GlobalSearch" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Global Search example\n", + "\n", + "Global search method generates answers by searching over all AI-generated community reports in a map-reduce fashion. This is a resource-intensive method, but often gives good responses for questions that require an understanding of the dataset as a whole (e.g. What are the most significant values of the herbs mentioned in this notebook?)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### LLM setup" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "api_key = os.environ[\"GRAPHRAG_API_KEY\"]\n", + "llm_model = os.environ[\"GRAPHRAG_LLM_MODEL\"]\n", + "\n", + "llm = ChatOpenAI(\n", + " api_key=api_key,\n", + " model=llm_model,\n", + " api_type=OpenaiApiType.OpenAI, # OpenaiApiType.OpenAI or OpenaiApiType.AzureOpenAI\n", + " max_retries=20,\n", + ")\n", + "\n", + "token_encoder = tiktoken.get_encoding(\"cl100k_base\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Load community reports as context for global search\n", + "\n", + "- Load all community reports in the `create_final_community_reports` table from the ire-indexing engine, to be used as context data for global search.\n", + "- Load entities from the `create_final_nodes` and `create_final_entities` tables from the ire-indexing engine, to be used for calculating community weights for context ranking. Note that this is optional (if no entities are provided, we will not calculate community weights and only use the `rank` attribute in the community reports table for context ranking)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "# parquet files generated from indexing pipeline\n", + "INPUT_DIR = \"./inputs/operation dulce\"\n", + "COMMUNITY_REPORT_TABLE = \"create_final_community_reports\"\n", + "ENTITY_TABLE = \"create_final_nodes\"\n", + "ENTITY_EMBEDDING_TABLE = \"create_final_entities\"\n", + "\n", + "# community level in the Leiden community hierarchy from which we will load the community reports\n", + "# higher value means we use reports from more fine-grained communities (at the cost of higher computation cost)\n", + "COMMUNITY_LEVEL = 2" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "entity_df = pd.read_parquet(f\"{INPUT_DIR}/{ENTITY_TABLE}.parquet\")\n", + "report_df = pd.read_parquet(f\"{INPUT_DIR}/{COMMUNITY_REPORT_TABLE}.parquet\")\n", + "entity_embedding_df = pd.read_parquet(f\"{INPUT_DIR}/{ENTITY_EMBEDDING_TABLE}.parquet\")\n", + "\n", + "reports = read_indexer_reports(report_df, entity_df, COMMUNITY_LEVEL)\n", + "entities = read_indexer_entities(entity_df, entity_embedding_df, COMMUNITY_LEVEL)\n", + "print(f\"Report records: {len(report_df)}\")\n", + "report_df.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Build global context based on community reports" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "context_builder = GlobalCommunityContext(\n", + " community_reports=reports,\n", + " entities=entities, # default to None if you don't want to use community weights for ranking\n", + " token_encoder=token_encoder,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Perform global search" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "context_builder_params = {\n", + " \"use_community_summary\": False, # False means using full community reports. True means using community short summaries.\n", + " \"shuffle_data\": True,\n", + " \"include_community_rank\": True,\n", + " \"min_community_rank\": 0,\n", + " \"community_rank_name\": \"rank\",\n", + " \"include_community_weight\": True,\n", + " \"community_weight_name\": \"occurrence weight\",\n", + " \"normalize_community_weight\": True,\n", + " \"max_tokens\": 12_000, # change this based on the token limit you have on your model (if you are using a model with 8k limit, a good setting could be 5000)\n", + " \"context_name\": \"Reports\",\n", + "}\n", + "\n", + "map_llm_params = {\n", + " \"max_tokens\": 1000,\n", + " \"temperature\": 0.0,\n", + " \"response_format\": {\"type\": \"json_object\"},\n", + "}\n", + "\n", + "reduce_llm_params = {\n", + " \"max_tokens\": 2000, # change this based on the token limit you have on your model (if you are using a model with 8k limit, a good setting could be 1000-1500)\n", + " \"temperature\": 0.0,\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "search_engine = GlobalSearch(\n", + " llm=llm,\n", + " context_builder=context_builder,\n", + " token_encoder=token_encoder,\n", + " max_data_tokens=12_000, # change this based on the token limit you have on your model (if you are using a model with 8k limit, a good setting could be 5000)\n", + " map_llm_params=map_llm_params,\n", + " reduce_llm_params=reduce_llm_params,\n", + " allow_general_knowledge=False, # set this to True will add instruction to encourage the LLM to incorporate general knowledge in the response, which may increase hallucinations, but could be useful in some use cases.\n", + " json_mode=True, # set this to False if your LLM model does not support JSON mode.\n", + " context_builder_params=context_builder_params,\n", + " concurrent_coroutines=32,\n", + " response_type=\"multiple paragraphs\", # free form text describing the response type and format, can be anything, e.g. prioritized list, single paragraph, multiple paragraphs, multiple-page report\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "result = await search_engine.asearch(\n", + " \"What is the major conflict in this story and who are the protagonist and antagonist?\"\n", + ")\n", + "\n", + "print(result.response)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# inspect the data used to build the context for the LLM responses\n", + "result.context_data[\"reports\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "LLM calls: 13. LLM tokens: 184660\n" + ] + } + ], + "source": [ + "# inspect number of LLM calls and tokens\n", + "print(f\"LLM calls: {result.llm_calls}. LLM tokens: {result.prompt_tokens}\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/examples_notebooks/inputs/operation dulce/ABOUT.md b/examples_notebooks/inputs/operation dulce/ABOUT.md new file mode 100644 index 00000000..cac4ea11 --- /dev/null +++ b/examples_notebooks/inputs/operation dulce/ABOUT.md @@ -0,0 +1,3 @@ +# About + +This document (Operation Dulce) is an AI-generated science fiction novella, included here for the purposes of providing a starting point for notebook experimentation. diff --git a/examples_notebooks/inputs/operation dulce/Operation Dulce v2 1 1.md b/examples_notebooks/inputs/operation dulce/Operation Dulce v2 1 1.md new file mode 100644 index 00000000..95c9e3cd --- /dev/null +++ b/examples_notebooks/inputs/operation dulce/Operation Dulce v2 1 1.md @@ -0,0 +1,970 @@ +# Operation: Dulce + +## Chapter 1 + +The thrumming of monitors cast a stark contrast to the rigid silence enveloping the group. Agent Alex Mercer, unfailingly determined on paper, seemed dwarfed by the enormity of the sterile briefing room where Paranormal Military Squad's elite convened. With dulled eyes, he scanned the projectors outlining their impending odyssey into Operation: Dulce. + +“I assume, Agent Mercer, you’re not having second thoughts?” It was Taylor Cruz’s voice, laced with an edge that demanded attention. + +Alex flickered a strained smile, still thumbing his folder's corner. "Of course not, Agent Cruz. Just trying to soak in all the details." The compliance in his tone was unsettling, even to himself. + +Jordan Hayes, perched on the opposite side of the table, narrowed their eyes but offered a supportive nod. "Details are imperative. We’ll need your clear-headedness down there, Mercer." + +A comfortable silence, the kind that threaded between veterans of shared secrets, lingered briefly before Sam Rivera, never one to submit to quiet, added, "I’ve combed through the last transmission logs. If anyone can make sense of the anomalies, it’s going to be the two of you." + +Taylor snorted dismissively. “Focus, people. We have protocols for a reason. Speculation is counter-productive.” The words 'counter-productive' seemed to hang in the air, a tacit reprimand directed at Alex. + +Feeling the weight of his compliance conflicting with his natural inclination to leave no stone unturned, Alex straightened in his seat. "I agree, Agent Cruz. Protocol is paramount," he said, meeting Taylor's steely gaze. It was an affirmation, but beneath it lay layers of unspoken complexities that would undoubtedly unwind with time. + +Alex's submission, though seemingly complete, didn't escape Jordan, who tilted their head ever so slightly, their eyes revealing a spark of understanding. They knew well enough the struggle of aligning personal convictions with overarching missions. As everyone began to collect their binders and prepare for departure, a quiet resolve took form within Alex, galvanized by the groundwork laid by their interactions. He may have spoken in compliance, but his determination had merely taken a subtler form — one that wouldn't surrender so easily to the forthcoming shadows. + +\* + +Dr. Jordan Hayes shuffled a stack of papers, their eyes revealing a tinge of skepticism at Taylor Cruz's authoritarian performance. _Protocols_, Jordan thought, _are just the framework, the true challenges we're about to face lie well beyond the boundaries of any protocol._ They cleared their throat before speaking, tone cautious yet firm, "Let's remember, the unknown variables exceed the known. We should remain adaptive." + +A murmur of agreement echoed from Sam Rivera, who leaned forward, lacing their fingers together as if weaving a digital framework in the air before them, "Exactly, adaptability could be the key to interpreting the signal distortions and system malfunctions. We shouldn't discount the… erratic." + +Their words hung like an electric charge in the room, challenging Taylor's position with an inherent truth. Cruz’s jaw tightened almost imperceptibly, but the agent masked it with a small nod, conceding to the omnipresent threat of the unpredictable. + +Alex glanced at Jordan, who never looked back, their gaze fixed instead on a distant point, as if envisioning the immense dark corridors they were soon to navigate in Dulce. Jordan was not one to embrace fantastical theories, but the air of cautious calculation betrayed a mind bracing for confrontation with the inexplicable, an internal battle between the evidence of their research and the calculating skepticism that kept them alive in their field. + +The meeting adjourned with no further comments, the team members quietly retreading the paths to their personal preparations. Alex, trailing slightly behind, observed the others. _The cautious reserve Jordan wears like armor doesn't fool me_, he thought, _their analytical mind sees the patterns I do. And that's worth more than protocol. That's the connection we need to survive this._ + +As the agents dispersed into the labyrinth of the facility, lost in their thoughts and preparations, the base's halogen lights flickered, a brief and unnoticed harbingers of the darkness to come. + +\* + +A deserted corridor inside the facility stretched before Taylor Cruz, each footstep rhythmic and precise. Cruz, ambitious and meticulous, eyed the troops passing by with a sardonic tilt of the lips. Obedience—it was as much a tool as any weapon in the arsenal, and Cruz wielded it masterfully. To them, it was another step toward unfettered power within the dark bowels of the military complex. + +Inside a secluded equipment bay, Cruz began checking over gear with mechanical efficiency. They traced fingers over the sleek surface of an encrypted radio transmitter. "If protocols are maintained," said Cruz aloud, rehearsing the speech for their subordinates, "not only will we re-establish a line of communication with Dulce, but we shall also illuminate the darkest secrets it conceals." + +Agent Hayes appeared in the doorway, arms crossed and a knowing glint in their eyes. "You do understand," Jordan began, the words measured and probing, "that once we're in the depths, rank gives way to survival instincts. It's not about commands—it's empowerment through trust." + +The sentiment snagged on Cruz's armor of confidence, probing at the insecurities festering beneath. Taylor offered a brief nod, perhaps too curt, but enough to acknowledge Jordan's point without yielding ground. "Trust," Cruz mused, "or the illusion thereof, is just as potent." + +Silence claimed the space between them, steeped in the reality of the unknown dangers lurking in the shadows of the mission. Cruz diligently returned to the equipment, the act a clear dismissal. + +Not much later, Cruz stood alone, the hollow echo of the bay a stark reminder of the isolation that power often wrought. With each checked box, their resolve steeled further, a silent vow to usher their team through the abyss—whatever it might hold—and emerge enshrined in the respect they so deeply craved. + +## Chapter 2 + +Sam Rivera sat alone in a cramped office, the hum of a dozen servers murmuring a digital lullaby in the background. Surrounded by the glow of multiple screens, their eyes danced across lines of code and intercepted comm signals from Dulce — a kaleidoscope of data that their curious and isolated mind hungered to decrypt. + +To an outsider, it might have looked like obsession, this fervent quest for answers. But to Sam, it was a dance — a give and take with the mysteries of the universe. Their fingers paused over the keyboard as they leaned back in the chair, whispering to thin air, "What secrets are you hiding from us?" + +The stillness of the room broke with the unexpected arrival of Alex Mercer, whose encroaching shadow loomed over Sam's workspace. The cybersecurity expert craned their neck upwards, met by the ever-so-slight furrow in Alex's brow. "Got a minute, Rivera?" + +"Always," Sam said, a smile surfacing as they swiveled to face their mentor more directly. _He has that look — like something's not sitting right with him,_ they noted inwardly. + +Alex hesitated, weighing his words carefully. "Our tech is top-tier, but the silence from Dulce... It's not just technology that will see us through, it's intuition and... trust." His gaze pierced through the digital haze, trying to instill something more profound than advice. + +Sam regarded Alex for a moment, the sincerity in his voice resonating with their own unspoken desire to prove their worth. "Intuition," they mirrored thoughtfully. "I guess sometimes the numbers don't have all the answers." + +Their shared silence held a newfound understanding, a recognition that between the ones and zeros, it was their combined human insights that might prevail against the impossible. As Alex turned to leave, Sam's eyes drifted back to the screens, now seeing them not as barriers to isolate behind, but as windows into the vast and enigmatic challenge that awaited their team. + +Outside the office, the persistent buzz of activity in the facility belied the unease that gripped its inhabitants. A restlessness that nibbled on the edges of reality, as though forewarning of the threshold they were soon to cross — from the known into the realm of cosmic secrets and silent threats. + +\* + +Shadows played against the walls of the cramped underground meeting room, where Alex Mercer stood gazing at the concealed elevator that would deliver them into the bowels of Dulce base. The air was thick, every breath laced with the weight of impending confrontation, the kind one feels when stepping into a legend. Though armed with an array of advanced weaponry and gear, there was an unshakeable sense that they were delving into a conflict where the physical might be of little consequence. + +"I know what you're thinking," Jordan Hayes remarked, approaching Mercer. Their voice was low, a blend of confidence and hidden apprehension. "This feels like more than a rescue or reconnaissance mission, doesn't it?" + +Alex turned, his features a mask of uneasy resolve. "It's like we're being pulled into someone else’s game. Not just observers or participants, but... pawns." + +Jordan gave a short nod, their analytical mind colliding with the uncertain dynamics of this operation. "I've felt that way since the briefing. Like there's a layer we’re not seeing. And yet, we have no choice but to play along." Their eyes locked with Alex's, silently exchanging a vow to remain vigilant. + +"You two need to cut the philosophical chatter. We have positions to secure," Taylor Cruz interjected sharply, stepping into their exchange. The authority in Taylor's voice brooked no argument; it was their way of pulling everyone back to the now. + +Alex's response was measured, more assertive than moments ago. "Acknowledged, Agent Cruz," he replied, his voice steadier, mirroring the transformation brewing within. He gripped his rifle with a newfound firmness. "Let's proceed." + +As they congregated at the elevator, a tension palpable, Sam Rivera piped in with a tone of balanced levity, "Hope everyone’s brought their good luck charms. Something tells me we’re going to need all the help we can get." + +Their laughter served as a brief respite from the gravity of their mission, a shared moment that reinforced their common humanity amidst the unknowable. Then, as one, they stepped into the elevator. The doors closed with a silent hiss, and they descended into the darkness together, aware that when they returned, if they returned, none of them would be the same. + +\* + +The sense of foreboding hung heavier than the darkness that the artificial lights of the elevator shaft failed to fully penetrate. The team was descending into the earth, carrying with them not only the weight of their equipment but also the silent pressure of the invisible war they were about to fight—a war that seemed to edge away from physicality and into the unnervingly psychological. + +As they descended, Dr. Jordan Hayes couldn't help but muse over the layers of data that could wait below, now almost longing for the comfort of empirical evidence. _To think that this reluctance to accept other possibilities may have been my biggest blind spot,_ Jordan contemplated, feeling the hard shell of skepticism begin to crack. + +Alex caught Jordan's reflective gaze and leaned in, his voice barely a murmur over the hum of the elevator. "Once we're down there, keep that analytical edge sharp. You see through the mazes of the unexplained better than anyone." + +The compliment was unexpected and weighed differently than praise from others. This was an acknowledgment from someone who stood on the front lines of the unknown with eyes wide open. "Thank you, Alex," Jordan said, the words carrying a trace of newfound assertiveness. "You can count on me." + +The exchange was cut short by a shudder that ran through the elevator, subtle, but enough to make them instinctively hold their breaths. It wasn't the mechanical stutter of old gears but a vibration that seemed to emanate from the very walls of the shaft—a whisper of something that defied natural explanation. + +Cruz was the first to react, all business despite the shadow that crossed their expression. "Systems check. Now," they barked out, masking the moment of disquiet with swift command. + +Every agent checked their gear, sending confirmation signals through their comms, creating a chorus of electronic beeps that promised readiness. But there was an unspoken question among them: was their technology, their weaponry, their protocols sufficient for what awaited them or merely a fragile comfort? + +Against the gravity of the silence that was once again closing in, Sam's voice crackled through, only half-jest. "I'd laugh if we run into Martians playing poker down there—just to lighten the mood, you know?" + +Despite—or perhaps because of—the oddity of the moment, this elicited a round of chuckles, an audible release of tension that ran counterpoint to the undercurrent of anxiety coursing through the team. + +As the elevator came to a halting, eerie calm at the sub-level, the group stepped off, finding themselves at the threshold of Dulce's mysterious halls. They stood in a tight pack, sharing a cautious glance before fanning out into the unknown, each one acutely aware that the truth was inevitably intertwined with danger. + +Into the depths of Dulce, the team advanced, their silence now a shared testament to the camaraderie born of facing the abyss together—and the steel resolve to uncover whatever horrors lay hidden in its shadows. + +\* + +The weight of the thick metal door closing behind them reverberated through the concrete hallway, marking the final threshold between the familiar world above and the strangeness that lay beneath. Dulce base, a name that had been whispered in the wind-blown deserts above and in the shadowed corners of conspiracy forums, now a tangible cold reality that they could touch — and that touched them back with a chill. + +Like lambs led to an altar of alien deities, so did Agents Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera proceed, their movements measured, their senses heightened. The air was still, almost respectful of the gravity of their presence. Their torch beams sliced through the darkness, uncovering steel doors with warnings that spoke of top secrets and mortal dangers. + +Taylor Cruz, stepping firmly into the role of de facto leader, set a brisk pace. "Eyes sharp, people. Comms check, every thirty seconds," Taylor ordered, their voice echoing slightly before being swallowed by the surrounding silence. + +Sam, fiddling with a handheld device aimed at detecting electronic anomalies, offered a murmured "Copy that," their usual buoyancy dimmed by the oppressive atmosphere. + +It was Jordan Hayes who paused at an innocuous looking panel, nondescript amongst the gauntlet of secured doorways. "Mercer, Rivera, come see this," Jordan’s voice was marked with a rare hint of urgency. + +Alex joined Jordan's side, examining the panel which, at a mere glance, seemed just another part of the base's infrastructure. Yet, to the trained eye, it appeared out of place—a facade. + +Jordan explained their reasoning as Sam approached, instinctively understanding the significance of what lay beneath, "This panel is a recent addition — covering something they didn't want found." + +Before Alex could respond, the soft whir of an approaching drone cut through their muffled exchange. Taylor had looped back upon hearing the commotion. "Explanations later. We can't afford to attract..." Cruz’s voice trailed off as the small airborne device came into view, its sensors locked onto the group. + +Sam was the first to react, their tech-savvy mind already steps ahead. "I've got this," they declared, fingers flying over the controls of their own gadgetry to ward off the impending threat. + +The drone lingered, its scan seeming more curious than hostile. But within moments, courtesy of Sam's interference, the little sentinel drifted away, retreating into the shadows as if accepting a silent truce. The crew exhaled, a moment of collective relief palpable in the air. + +Cruz squared their shoulders, clearly ruffled but not conceding any ground. "Move out," they directed, a hint more forceful than before. "And Rivera, keep that trick handy." + +The team pressed onward, the quiet now filled with the soft beeps of regular comms checks, their pace undeterred by the confrontation. Yet, every agent held a renewed sense of wariness, their trust in one another deepening with the knowledge that the base—its technology, its secrets—was alive in a way they hadn't fully anticipated. + +As they converged upon a central hub, the imposing doors to the mainframe room stood ajar — an invitation or a trap, neither option comforting. Without a word, they fortified their resolve and stepped through the threshold, where the dim glow of operational LED lights and the distant hum of machinery hinted at Dulce’s still-beating heart. + +Solemnly, yet unmistakably together, they moved deeper into the heart of the enigma, ready to unmask the lifeforce of Dulce base or confront whatever existential threat lay in wait. It was in that unwavering march towards the unknown that their destinies were forever cemented to the legacy of Operation: Dulce. + +## Chapter 3 + +The thrumming of monitors cast a stark contrast to the rigid silence enveloping the group. Agent Alex Mercer, unfailingly determined on paper, seemed dwarfed by the enormity of the sterile briefing room where Paranormal Military Squad's elite convened. With dulled eyes, he scanned the projectors outlining their impending odyssey into Operation: Dulce. + +\* + +The cooling vents hummed in a monotonous drone, but it was the crackle of the comms system coming to life that cut through the lab’s tension. Dr. Jordan Hayes hovered over a table arrayed with alien technology, their fingers delicately probing the enigmatic circuitry retrieved from the crash site. Agent Alex Mercer watched, admiration blooming in silent solidarity for Jordan's deft touch and unspoken drive. + +Jordan, always composed, only allowed the faintest furrow of concentration to mar their brow. "What we understand about physics..." they muttered, trailing off as they realigned a translucent component. The device emitted a low pulse, causing Jordan to still. "Could be fundamentally changed by this." + +A calculated risk—that's what this was. And for a person of science, a gamble was worth the potential paradigm shift. + +"I’ve been thinking," Alex started, his eyes still fixed on the immediately tangible mystery before them. "About what’s at stake here. Not the mission parameters, but what this means for us—humanity." + +Jordan glanced up, meeting his eyes just long enough to convey the shared enormity of their situation; the career-defining glory and existential dread entwined. "The quest for understanding always comes at a price. We're standing on the precipice of knowledge that could either elevate us or condemn us." + +The charged air between them spiked as Taylor Cruz’s brusque tones sliced through their reverie. "Hayes, Mercer, this isn't philosophy hour. Focus on the task. We need actionable intel, not daydreams." + +With a sound of restrained acknowledgment, Jordan returned their gaze to the device, while Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order. + +Then Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.” + +The underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce. + +It was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths and for different reasons. Yet, beneath the veneer of duty, the enticement of the vast unknown pulled them inexorably together, coalescing their distinct desires into a shared pulse of anticipation. + +Marshaled back to the moment by the blink of lights and whir of machinery, they refocused their efforts, each movement sharpened by the knowledge that beyond understanding the unearthly artifacts, they might be piecing together the future of their species. + +\* + +Amidst the sterility of the briefing room, the liminal space between the facts laid out and the hidden truths, sat Sam Rivera, his demeanor an artful balance of focus and a casual disguise of his razor-sharp talent with technology. Across from him, Alex Mercer lingered in thought, the mental cogs turning as each file on Dulce stirred more than curiosity—it beckoned to a past both honored and burdensome. + +"You've been quiet, Sam," Alex noted, catching the younger man's contemplative gaze. "Your take on these signal inconsistencies?" + +There was a respect in Alex's tone, though a respectful distance remained—a gulf of experience and a hint of protective mentorship that stood between them. Sam nodded, recognizing the space afforded to him, and he couldn't help but feel the weight of expectation pressing upon his shoulders. It wasn't just the mission that was immense, it was the trust being placed in him. + +"The patterns are... off," Sam admitted, hesitant but driven. "If I'm right, what we're looking at isn't random—it's a structured anomaly. We need to be ready for anything." + +Alex's eyes brightened with a subtle approval that crossed the distance like a silent nod. "Good. Keen eyes will keep us ahead—or at least not blindsided," he said, affirming the belief that inscribed Sam's role as more than the tech personnel—he was to be a guiding intellect in the heart of uncertainty. + +Their exchange was cut short by Taylor Cruz's abrupt arrival, his gait brimming with a robust confidence that veiled the sharp undercurrents of his striving nature. "Time to gear up. Dulce waits for no one," Taylor announced, his voice carrying an iron resolve that knew the costs of hesitation—though whether the cost was calculated in human or career terms was an ambiguity he wore like a badge of honor. + +As Sam and Alex nodded in unison, the icy chasm of hierarchy and cryptic protocols seemed momentarily to bridge over with an understanding—this mission was convergence, a nexus point that would challenge each of their motives and strength. + +They filed out of the briefing room, their footsteps synchronized, a rhythm that spoke volumes of the unknown cadence they would soon march to within the base's veins. For Alex Mercer, the link with Sam Rivera, though distant, was now poised with a mutuality ready to be tested; for Taylor Cruz, the initiative pulsed like a heartbeat, anticipation thinly veiled behind a mask of duty. + +In the midst of the descent, they were each alone yet irrevocably joined, stepping closer towards the volatile embrace of Operation: Dulce. + +## Chapter 4 + +The corridors of the Dulce military base were as silent as a tomb and twice as chilling. Alex Mercer walked with a surety that belied his bubbling undercurrents of doubt. The briefing had been definitive, sturdy pillars of facts and protocols, yet as he ventured deeper, the ominous atmosphere gnawed at him—a stark reminder of how much remained unknown. + +Jordan Hayes trailed a few steps behind, their detached exterior breaking for a moment as they caught up to Alex. "What's on your mind?" Jordan asked, their astuteness cutting through the unspoken tension. + +Alex glanced back at them. This place was a puzzle, a treacherous labyrinth where the walls whispered secrets, and among them, he sensed a call to question, to challenge the narrative they'd been sold. "The silence here... It's almost as if the base is waiting for something—or someone." + +"Just stay sharp, Mercer," Jordan cautioned, yet their eyes lingered on the quietude around them, conceiving the same shadow of doubt that unsettled Alex. + +Before they could delve into further discussion, the distinctive click of a safety catch echoed in the hollow space. Both agents turned to find Taylor Cruz standing resolute, primed for combat. Taylor's gaze was scrutinizing and cold, a stark contrast to the growing unease that smoldered silently amongst the rest. + +"Chatter is a liability," Taylor snapped, with a commanding flair that bordered on tyrannical. "We move forward, eyes open, mouths shut." + +Alex felt the tight grip of compliance strangle his gut, a lesson learned under the hard tutelage of rank and order. But here, in the bowels of Dulce, those instincts began to wane, the imperative to adhere now conflicting with the pressing urgency to confront the shadows they were enmeshed in. + +Then, unexpectedly, the lights flickered, a power fluctuation—or a sign? Alex's hand instinctively went to his sidearm, his mindset shifting from soldier to skeptic. The base, with its unyielding coldness, had just given them their first nudge into the realm of the speculative, an invitation to peel back the veneer of reality. + +"We should consider all possibilities," Alex murmured, more to himself than the others, his voice a barely audible breath against the sterile air of the complex. + +Taylor's posture stiffened at the challenge, yet their response was uncharacteristically reserved, notable in its lack of rebuke. "Agreed. For now, keep moving. But stay vigilant." + +A surprise—an echo of agreement from the last person Alex expected it from. And there it was, the glimpse of a wrinkle in the unyielding fabric of command, a hint that perhaps they were all starting to sense the strangeness that permeated this place. + +Progressing with determined steps, the trio moved deeper, silently acknowledging the evolution of their predicament. It was a small yet transformative concession to the unknown forces at play, an acknowledgment from each agent that, despite their disparate goals and ideals, the true nature of the Dulce base was an enigma that would forge new paths through their convictions. + +As they reached the central communications hub, the truth that awaited them lurked in the shadows, its eyes unseen but felt by all. The walls didn't just whisper now; they spoke in tones only the brave—or the foolish—would dare to listen to. + +\* + +The subterranean silence of Dulce was an oppressive entity of its own, wrapping the team in a cloak of uneasiness as they pressed on through the dimly lit corridor. Jordan Hayes found themselves contemplating the ramifications of each step taken into this suspended world, where the sterile air seemed to mock the gravity of their predicament. The closer they got to the communication hub, the more Jordan's mind wandered toward the realm of the inexplicable. + +Beside Jordan, Alex Mercer moved forward with deliberation, his gaze scanning the heavy utility doors they passed—one of which was partially ajar, beckoning them with its darkness. "After you, Dr. Hayes," Alex said, gesturing toward the mysterious opening. A hint of shared understanding passed between them; knowledge was the guiding star of this mission as much as confrontation or recovery. + +Jordan peered inside, the beam from their flashlight slicing through the obscurity. The room beyond was a chaotic cascade of papers, overturned furniture, and the particular kind of disorder born from hasty evacuation—or something far more sinister. + +"It's like they vanished in the middle of something urgent," Alex murmured, his voice tight with a mix of concern and anticipation. He began to sift through the scattered reports, each page a potential clue to the enigmatic silence that shrouded Dulce. + +Behind them, Taylor watched with a disciplined patience, their authority the foundation upon which the operation was built. Their voice cut into the stillness, a reminder of their presence, "Time is not our ally here." + +Drawing back from momentary distraction, Jordan acknowledged the wisdom in Taylor's words, yet could feel the shift in their stance—from skeptical, reserved analyst, to a proactive agent within the narrative. "You're right; these documents may hold critical insights. Let's collect what we can and analyze them properly." + +From the darkened hollows of the room, shadows seemed to cast subtle judgment as Alex and Jordan worked together with heightened urgency. Taylor, for once, didn't intervene but instead surveyed the entrance, their mind anticipating the unknown variables that lay ahead. + +Unexpectedly, a soft hiss emanated from a neglected terminal on the desk. Jordan's head snapped up, their heart rate accelerating at the potential ramifications. Without a word, they moved to the machine, hands driven by the newfound conviction that knowledge was more than power—it was survival. + +As Jordan began to extract what data they could from the terminal, the first comprehensible communication from the depths of Dulce in far too long crackled through: an automated distress marker, looping endlessly without further context. It was a revelation, one that reverberated through the group, confirming their fears and igniting an even greater need to press on. + +Watching Jordan's dogged determination, Alex witnessed the minor transformation in his colleague unfold—a shift from doubt to action, a sliver of belief in the possibilities beyond their rational understanding. This forge of resolve amidst the alien echoes of Dulce not only bonded them closer as a team but compelled them forward with a sharpened edge of responsibility to the truth, wherever it would lead. + +As they collected their findings and regrouped, the base around them imperceptibly changed, the air charged with the vibration of secrets poised on the brink of revelation. And in that charged silence, the group moved on, each now carrying pieces of a puzzle that would soon converge into a picture of galactic significance. + +\* + +In the chill of the cramped server room, the hum of machinery was the backbone to a symphony of data streams coursing through the air. Dr. Jordan Hayes, nerves alight with the mission's mounting unknowns, patched into the last known coordinates of the unsent distress broadcast they had uncovered. They were so close to the core now – to the truth behind the blackout – it was almost tangible. + +Beside them stood Agent Alex Mercer, ever the soldier, yet with eyes that betrayed an intellect craving to understand the murk beneath the surface. "Any progress, Dr. Hayes?" Alex queried, his voice betraying a subtle urgency. + +"Getting there," Jordan replied, fingers dancing across the keyboard. "Whoever sent this was cut off mid-transmission. It's as if Dulce itself swallowed the message whole." + +Taylor Cruz closed in, their frame casting a long shadow over the duo, evoking an almost palpable wall between them and the forward momentum of their mission. "Time is against us," Taylor intoned, more statement than threat. "What we uncover here determines our next course of action." + +Alex acknowledged Taylor with a brisk nod, his stance firm. Yet inwardly, the tightening grip he felt from Taylor's words couldn't throttle the swell of his own investigative instinct. His soldier's obedience had begun to war with the advocate's zeal for unveiling the dark heart of Dulce's secrets. + +And then, the unexpected occurred. The screens flashed in unison, spilling a discordant stream of symbols and images that defied immediate analysis. Jordan's breath caught – this was the response they had been fishing for, an alien communication protocol resonating just at the edge of human comprehension. + +Each member of the team felt it: a shift in the room’s very atmosphere, like a veil being drawn from their perception. Alex and Jordan stood still, absorbed in the bewilderment of contact, while Taylor, despite their authority, hesitated – a minor betrayal that unease was creeping into even their disciplined heart. + +"Thoughts, Rivera?" Taylor rallied, seeking the counsel of Sam Rivera, whose eyes were wide with exhilaration. + +Sam stepped forward, breaking the spell of stillness. "It's like nothing I've ever seen before, but I think I can bridge our systems to communicate," they declared, a wisp of optimism braiding their voice. They set about adapting their gear to transmute the foreign signals into something the team could dissect, their actions a testament to the mentorship and belief instilled in them by Mercer and the team. + +Taylor observed them, a cold calculation behind their facade, as they weighed the worth of this anomaly. It was a crossroad that potentially led to either monumental breakthrough or unprecedented catastrophe. "Once you've established a line, document everything. We can't afford to miss any detail," Taylor ordered, the words sharper than intended. + +The connection was made, and with trembling anticipation, the team listened as the first garbled outputs began to emerge, their very essence promising insights that could alter the course of history. It was an enigmatic dance with the unknown, the pulse of Dulce no longer just a place, but a herald to an alien register the team had yet to decipher. + +Together, they stood at the precipice of understanding, where the faint glow of their monitors cast more than just light – it cast the shadow of burgeoning transformation. It was in this moment, in the grasp of an extraterrestrial tongue, that the team, bound by a hunger for knowledge and the raw edge of survival, found their mission reframed from a search for answers to the articulation of a question humankind had yet to fully ask. + +Silent in their commune with the inexplicable frequency, they realized they were not merely investigators; they had become liaisons on behalf of Earth, interpreters of a cosmic message that could redefine their very existence. The implications loomed large, but now, they would not face them alone – they would face them as a united front, wrought together by the very mysteries that once drove them apart. + +## Chapter 5 + +Dr. Jordan Hayes clutched the edge of the briefing room table, their fingers white-knuckled against the laminate surface, as an array of constellations rotated on the projector—charts and graphs bleeding across the stars. In the dim room, nebulas and dark matter seemed within arm's reach, tangible yet unfathomable. + +Sam Rivera leaned back against the wall, arms crossed, gaze darting between the swirling cosmos and the faces of their companions. A taut line of concentration etched their young features, a mingling of fervent curiosity with the nascent understanding of the high stakes for which they played. + +Jordan's voice broke the profound silence. "The patterns in the signal disruptions sync with none other than zenithal star alignments. It's as if... as if these 'meet and greets' were scheduled, predestined by celestial mechanics." + +The statement hung heavy, daring the occupants of the room to unravel its implications. Alex Mercer, his prior military resolve momentarily suspended, absorbed the hypothesis with a visible hunger. "It's like we're adhering to an appointment we never knew we had," he murmured, his heart a drumbeat in his chest. + +Taylor Cruz snorted—a sound that clattered against the high concepts like a tumbledown shack in a futurist cityscape. Folding their arms, they glanced between the agents, their apprehension clad in the contempt of practicality. "What we need are facts, not mystic conjecture." + +Alex pivoted on his heel, facing Taylor squarely, and his voice found its edge of steel. "This isn't mysticism, Cruz. It's a hypothesis based on observed phenomena as unpredictable as the place we're standing in." + +Taylor's gaze never wavered, yet the slight twitch at the corner of their mouth belied their taut composure. "If there's a semblance of truth to it, then it's critical intel. But remember, we're not astrologers—we're soldiers and scientists." + +Jordan met Taylor’s gaze with a curt nod, accepting the caution even as the crucible of their intellect smoldered with the fervor of cosmic discovery. Their eyes flicked to Sam, whose steady presence and ready tech affirmed a burgeoning dynamic—the makings of a sentinel, standing guard over the threshold of human understanding and cosmic reality. + +With the projector casting pallid light over their features, each agent became a silhouette of purpose, shadows pillared against the backdrop of an endless universe. The story they were embroiled in would soon demand they plunge into darkness to retrieve the light of knowledge—a light that could very well redraw the shape of their world. + +They left the briefing room with a shared silence, each pondering the vast weave of celestial intent and terrestrial response, sensing that the galactic appointment to which they'd unwittingly RSVP’d was more insistent—and more threatening—than any operation they’d faced before. + +\* + +As the Paranormal Military Squad team convened in the heart of the Dulce military complex, an air of bristling expectation clung to the walls of the underground sanctum. Alex Mercer’s brow furrowed while watching his companions—Jordan Hayes, diligently setting up their makeshift lab station, and Sam Rivera meticulously checking the communication relays they had restored. Taylor Cruz observed with hawk-like focus, yet to betray the strain that their command posed on them. + +The gravity of the mission had shifted, deepened; each member of the team felt its pull, tethered to the understanding that they were now part of a larger narrative—a cosmic play with Earth as a stage and the human race unwitting actors. + +Jordan paused, a tension creeping across their shoulders as they aligned the satellite data with the alien message that had been decoded. "The instructions in this message," Jordan started, the timbre of their voice betraying their usual composure. "They're coordinates and... a warning." + +Sam leaned in, their eyes widening behind the glow of their laptop screen. "A warning? Like, ‘stay away from’, or ‘beware of’...?" Their words trailed off, uncertainty a new companion in their lexicon. + +Alex exhaled slowly, his mind racing to connect the dots. "It doesn't matter which," he said, decisive yet contemplative. "What matters is we understand intent. Are we being warned out of concern, or are we stumbling upon a threat?" + +Cruz’s iron-clad facade momentarily cracked, a fleeting glimpse of vulnerability flashing through their eyes. "We need to know if this entails additional risk to the operation," they said, directing their gaze specifically at Alex. "Mercer, I rely on you to keep the team grounded. No one goes off-course." + +Their reminder seemed both a command and a plea—rooted in an understanding that each member of the team now faced the duality of their roles, protectors of earthly secrets and heralds of potentially devastating revelations. + +Sam's fingers stilled mid-type, their task forgotten as they absorbed the weight of the unfolding reality. "We're the first line of defense... or detection," they mused half to themselves, a growing sense of agency within the larger play they were cast into. + +Jordan returned to the data, more resolute in their actions. The warning, whether cautionary or dire, was a beacon they no longer could ignore; its light casting aside shadows of doubt and igniting a collective purpose within the team. + +Alex watched Jordan and Sam, feeling a brotherhood in their shared quest. As Cruz paced, poised on the cusp of decisions that would mark their career and perhaps the fate of many, Alex knew the narrative had changed. They were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve. + +Tension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril. + +Their connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer’s latter instincts gained precedence— the team’s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly hierarchies but by the pulsing symphony of the universe itself. + +\* + +The desert night loomed eerily still as echoes of hidden activity reverberated deep beneath the bleak sands of New Mexico. Diverting his gaze from the array of sensors before him, Jordan Hayes allowed a rare breath, deep and anxious. Turning to Alex Mercer's focused silhouette, the nocturnal landscape illuminated softly by makeshift floodlights, Jordan felt the syncopated tempo of apprehension and exhilaration jockey for primacy within. + +"The closer we get to unlocking these messages, the more I feel like we're peeling back layers of reality itself," Jordan confided, eyes not leaving the monitors that presented a constellation of data points. + +"Yes," Alex replied, his voice steady as he considered the implications of their discovery. "And we have to be ready for whatever we find beneath those layers. Whether it's a breakthrough or a Pandora's Box." + +Silence settled between them, broken only by the occasional buzz of communications equipment attempting to bridge terrestrial and extraterrestrial intelligences. Tense moments drifted by, laden with the expectant weight of near breakthrough, when a soft chime signaled an incoming transmission -- a rare sound that set every agent on high alert. + +Absent was the voice of Washington or Paranormal Military Squad command. Instead, a rhythmic series of pulses and tones filled the air, deliberately patterned, unmistakably non-human. + +Sam Rivera adjusted the sensitivity of the decoding equipment, their hands shaking with anticipation as much as focus. "I have it!" they announced, the signal transforming under their expertise into a sequence of visual symbols on the screen before them. + +Their shared excitement was palpable, a kinetic force resonating between the team members as they crowded around the display. + +"What does it say?" Taylor Cruz demanded, the urgency in his tone scraping against the newfound wonderment. + +Interpreting the alien syntax required not only decoding but intuition and empathy. The words that emerged upon the screen were at once coherent and enigmatic: "*Voyage. Convergence. Peril.*" + +The stark simplicity of the message struck them collectively, a chill breeze wafting through their resolve. + +Alex stepped forward, piecing together the cryptic communication with a growing sense of obligation. "It’s a call to action," he deduced, "or possibly a summons." + +Jordan's gaze met Alex’s, both understanding that this was no longer an investigation or mere extraction of hidden truths. This was humanity's unwitting enlistment into a galactic dialogue that defied boundaries of nation, creed, or protocol. + +Sam's eyes were aglow, not with fear, but with the profound acceptance of inevitability that comes with groundbreaking revelation. Moreover, within Taylor's stern exterior churned the seed of reluctant admiration for the unclassified, the uncharted realms they were approaching. + +Together, they accepted the pivot in their mission, readjusting their objectives from exploration to engagement, and from isolation to a communal outreach beyond the stars. As dawn's first light threatened the horizon, it became clear that they were no longer merely operatives of a clandestine governmental faction—they were delegates on behalf of Earth, embarking on a voyage orchestrated by destinies unrelated to the mere geopolitics of their world. + +Turning to each other, their silhouettes sketched against the coming dawn, the agents recognized the transformation within and amongst them. They were bound by more than duty—they were intricately woven into the fabric of an unfolding cosmic opera, one in which they had been granted an undeniable role. And as they set course for the coordinates that beckoned them like a distant siren's call, it was with a solemn dedication to not only uncover the mysteries ahead but to navigate the convergence, and the peril, as unified emissaries of a world on the cusp of a broader understanding. + +\* + +Beneath the hum of the fluorescent lights and the vigilance of silent monitors, Alex Mercer stood with his team in the threshold of the base's command center, their faces etched with the fatigue of hours spent unraveling galactic mysteries. Jordan Hayes broke the stillness with a delicate fusion of disbelief and resolve. "The signal..." they began, their tone deliberate, "it’s evolving. It’s not just sending a message—it’s responding to us." + +Taylor Cruz leaned over the console, their eyes narrowing with intrigue and a flicker of unease, studying the alternating patterns on the screen. "Responding? Like it’s alive?" Taylor asked, a question that bordered on the edge of wonder and alarm. + +Sam Rivera’s gaze was locked onto their interface, a digital orchestra at their fingertips. "It could be some form of advanced AI. Or something else entirely," they contributed, a note of exhilaration betraying the gravity of the situation. + +Alex paced before the terminal, absorbing the enormity of their predicament. Their mission—once rooted in the solid ground of military discipline and covert operations—had transcended into an encounter of unprecedented import. "We need to be cautious," he advised, his voice a low rumble of cautious strategy. "If this signal is intelligent, how we interact with it could dictate the outcome of this entire operation." + +Jordan met Alex's gaze with a nod, the weight of the responsibility shared and accepted. "We have protocols for first contact, but nothing for... this," Jordan admitted. The room was gripped with tension, each breath seemingly louder than the last. + +Then, with a sudden burst that filled the command center, the signal coalesced into a clear and distinct pattern which replicated and expanded, its complexity revealing the hand—or mind—of an intelligent architect. + +Taylor's instinct for command surged forth. "Prepare to record and analyze. Whatever it is, we need to understand it—" But their words were cut short as the signal surged, enveloping the room in a brief, blinding cascade of light. + +In that pulse of brilliance, a shared revelation coursed through the team. The signal had become a bridge, an extension of unknown consciousness reaching towards them, testing, communicating, searching. + +Alex stepped back from the light, feeling a profound change unravelling within him. The path forward would not be one of confrontation or conquest, but of connection and comprehension. + +Jordan turned to Alex and Taylor, seeing in their faces a reflection of the same metamorphosis taking place within themselves—a movement from observers to participants, from agents to ambassadors. + +With a collective breath, the team faced the kaleidoscope of lights. The alien signal, once a harbinger of enigma, was now a catalyst for transformation—a symphony of light and sound that echoed the beginnings of a new relationship between humanity and the alien unknown. + +And so, with deliberate steps, Alex Mercer led his team into the luminous fray. Science, protocol, and survival instinct harmonized within them, each member poised on the cusp of a new chapter in human history. + +They were no longer merely the instruments of Paranormal Military Squad's will—they were the vanguard of humankind’s first definitive leap into the cosmic community. + +With the last echoes of the signal resonating in the control room, they each embraced the sequencing of the transmission, the dance of extraterrestrial light that now wrote itself into their story. The chapter of Operation: Dulce drew to a close, but the narrative of their destiny had only just begun. + +## Chapter 6 + +\* + +The cool darkness of the command center at Dulce base was a stark contrast to the brewing storm outside, where the unforgiving New Mexico desert winds whispered of the hidden truths that lay buried deep beneath its surface. Dr. Jordan Hayes sat, their eyes fixed on the readout, the frenetic dance of symbols and numbers reflecting off their determined face. They were on the cusp of an epiphany, teetering between the widely accepted laws of physics and the promise of a new cosmic paradigm. + +Alex Mercer watched from across the room, noting the subtle shifts in Jordan’s posture that belied a developing readiness to embrace the unbelievable. “Find something?” Alex’s question, asked with a blend of curiosity and solidarity, bridged the gap between a command and a genuine query among equals. + +Jordan's response was slow, measured against the magnitude of their analysis. “This isn’t random static. It’s a pattern - a repeated sequence phasing in and out but distinctly artificial.” Jordan turned away from the screen, locking eyes with Alex. “This could change everything.” + +Sam Rivera leaned in, their eyes alight with the fires of revelation and a quenchless thirst for understanding. “A pattern means intention. Could it be a message?” + +A figure emerged from the doorway, casting a long shadow into the room - Taylor Cruz. “Intentions can be friendly, or hostile. We shouldn’t forget that,” said Taylor, bringing a dose of their usual pragmatism into the heart of discovery. + +Alex acknowledged Taylor’s caution with a nod, understanding the need to keep their feet grounded even as their spirits soared toward the unknown. “Then let’s be the first to find out which it is." + +The team gathered around the monitors, the soft tapping of Jordan's keystrokes now punctuated by the occasional crackle of Sam's radio equipment. The sound was almost ritualistic, a prelude to humanity’s potential first, knowing foray into a larger universe. + +Jordan’s fingers paused, suspended in mid-air. The signal had evolved, becoming a beacon that somehow felt less alien and more familiar. It was as if the complexities of their message were unfolding into something more accessible, more terrestrial. + +A hushed excitement swept through the room. The transformation suggested an awareness on the part of the unknown senders; a finesse that spoke volumes about their capabilities and perhaps their intentions. + +With the growing realization that they were engaging with an intelligence far exceeding their previous understanding, the team prepared to reach back across the cosmic divide. Prepared or not, they were no longer bystanders in this galactic narrative. They were active correspondents in an exchange that transcended galaxies and welcomed them into an expansive, possibly fraught, interstellar conversation. + +\* + +Inside the cavernous central hub of Dulce military base, Dr. Jordan Hayes stood in near-darkness, surrounded by a nest of cables and monitors that buzzed with silent, cryptic life. Jordan's eyes narrowed to focus on the sequences that danced across the screen—patterns that could unravel the cosmic enigma surrounding them. + +Alex Mercer approached with his characteristic stride, a signal of reliability in the chaos. "Status report, Dr. Hayes?" he inquired, his voice low, almost blending into the soundscape of beeping consoles and swirling fans. + +"We're on the brink of unravelling the signal's origin," Jordan replied, the weight of implications heavy in their tone. "There's intelligence behind it, a thought process alien to our own." + +As if summoned by their analysis, Taylor Cruz approached with authority radiating from every pore. "Understand this, we need to know if it's friend or foe. Don't get wrapped up in the existential—our lives may depend on the answers you provide." + +Sam Rivera, their hands adroitly adjusting a device to fine-tune the signal, chimed in with optimism undercut by anxious anticipation. "We're deciphering the comm encryption. Soon, we'll have a channel open—not just listening in, but speaking back." + +Alex nodded his understanding, his strategic mind processing the tactical implications while grappling with the more profound humanistic impact. "When we do, we'll tread carefully, communicate with purpose," he reassured the team. + +The operation had evolved rapidly, from a stealthy incursion into a clandestine labyrinth to an exchange with an extraterrestrial intellect. Their earlier trepidation transformed into determined focus, as they prepared to extend humanity’s hand into the vast unknown. + +An alert on one of the monitor stations snapped the team into alarm. The signal had not simply been waiting—it had been calculating. Now, it reached its crescendo, demanding their attention with a provocative urgency. + +Jordan's fingers raced over the keyboard, their eyes simultaneously interpreting data and sharing directives. "It’s a linguistic lock, a test of comprehension. We crack this, we establish dialogue." + +Taylor's presence was a beacon of steely resolve. "Then let’s solve it. This is what we trained for—the unknown." + +Alex and Sam exchanged a look that telegraphed their shared determination—this was not only the mission they had trained for; it was the mission they had been destined for. + +Together, the Paranormal Military Squad team leaned into the challenge, their minds honing in on the complex patterns with a singular goal: to unlock the conversation with an intelligence that had already begun to shift the foundations of what they knew, or thought they knew, about the universe. + +In a symphony of clicks and murmurs, they worked, knowing they were about to make a giant leap not just for themselves or Paranormal Military Squad, but for all of humanity. As the final pieces fell into place, Dulce's militaristic silence was shattered by the sound of intergalactic contact—by the sound of history being made. + +## Chapter 7 + +In the enclosed space of Dulce’s command center, the air was thick with anticipation, each team member poised to tread the razor's edge between scientific breakthrough and galactic peril. Dr. Jordan Hayes focused intently on the screen, their fingers tapping a staccato rhythm against the keyboard as lines of alien code cascaded down the monitor. + +Alex Mercer's steely gaze surveyed the room, stopping on each member of his team. "Thoughts?" he asked, echoing the unspoken tension. His question, while directed at the group, lingered on Jordan—acknowledging their expertise and inviting collaboration rather than dictating orders. + +Jordan’s brow furrowed, an indicator of the mental gymnastics being performed. "It's unprecedented," they finally said, their voice a testament to the gravity of the moment. "Behavioral algorithms... if we're right, this code could reveal extraterrestrial thought patterns." + +Before anyone could react, Taylor Cruz interjected with the assertiveness of someone accustomed to commandeering the discourse. "Then let’s ensure we’re deciphering it correctly," Taylor stated, their tone suggesting they were still battling to maintain control over an increasingly alien situation. + +Sam Rivera hovered near the mainframe, youthful energy barely contained under the surface. "What if it’s more than just a message? What if they’re trying to extend consciousness across the stars?" + +The room fell into a contemplative silence, broken only by the hum of electronic equipment and the distant thud of secured doors locking in rhythm. The weight of responsibility rested on each agent's shoulders—a heaviness palpable in the air they shared. + +Alex stepped forward, reaching a subtle decision, one dictated by foresight and the humanity nestled at the core of their mission. "We approach with the aim to understand, not to confront," he said, softening his military bearing into a more diplomatic stance. + +Jordan nodded, appreciating the leadership that Alex displayed in the face of the unknown, and turned back to the cryptic data. Here, before them all, was a tangible piece of evidence—proof of an extraterrestrial sentience that had outreached the bounds of their expectations. + +Taylor took a breath, simultaneously exuding a sense of preparedness and venturing into the unknown alongside their peers. "Then let’s do what Paranormal Military Squad does best—investigate and adapt," Taylor added, finding comfort in the familiar even as they stood on the cusp of an unprecedented alchemy of science and mystery. + +The team leaned into their respective roles, driven by the urgency of the assignment and the pull of an insatiable curiosity. Sam offered a grin that belied the tension, a youthfulness that reminded them all of the profound excitement nested within the terror of the unknown. + +Quietly but resolutely, they turned back to their instruments, each of them a sentinel on the threshold of a new reality. The once implicit lines of command were now woven into a shared tapestry of hierarchy and camaraderie. As they danced with the unknown, they were beacons of sentient endeavor, casting the light of human consciousness into the vast darkness that called to them. + +\* + +\* + +Dulce Base's cavernous darkness was pierced by the sharp luminescence of monitors, casting an electric glow onto the faces of those who dared to unearth its secrets. Dr. Jordan Hayes stood motionless, eyes glazed in concentration, their mind a nexus where terrestrial science battled with celestial unknowns. + +Alex Mercer watched from a slight distance, the weight of command tangible upon his shoulders, though lightened by the shared burden now held amongst them. "We could be on the frontier of a new kind of diplomacy," he mused aloud, giving voice to the moment's gravity. + +At those words, Jordan's trance broke. "If that's the case, then these communications," Jordan motioned to the stream of data, "are our olive branch across the cosmos." + +Taylor Cruz, who paced with restless energy, halted and faced the team—his stoicism marred by the erratic dance of lights reflected in his eyes. "An olive branch, or an invitation to a battlefield?" he posed, ever the strategist, his words laced with a hint of cynicism. + +Sam Rivera, nestled amongst an array of equipment, licked their lips—a mixture of nerves and anticipation palpable. "We're mapping out something incredible here. Whether it's peace or war, we're the cartographers." + +Silence enveloped them like the expanse of space itself, each member contemplating the chasms they might bridge—or the abysses into which they might unwittingly descend. + +Alex's demeanor assumed a quiet resolve—the profound knowledge that this mission was as much about navigating uncharted philosophical territories as it was about ensuring survival. "Whichever it proves to be, we'll face it. Prepared, unified." + +A nod passed between Jordan and Alex, a silent exchange of mutual respect and shared mission. Sam, buoyed by the weighty encounters of the mind and machinery, entered keystrokes with a fervor that seemed to bring them ever closer to the alien mind. + +They stood there, the Paranormal Military Squad team, not just as guardians of homeworld secrets or as soldiers of clandestine wars, but as humankind's chosen few at the fulcrum of history—a history that was now unfolding to the rhythm of otherworldly codes. + +Each revelation, each parsed symbol, inched them toward the line between the earthly and otherworldly. And as they stood on this precipice of cosmic negotiations, it was clear the ensuing dialogue would not just shape the future of Paranormal Military Squad—it could very well redefine the parameters of human existence. + +\* + +The hum of advanced computational systems tingling with cryptic transmissions framed the ambiance of Dulce's mainframe chamber. Jordan Hayes, fingers hovering over a console dense with blinking lights, furrowed their brow as sequences of alien data streamed across the screen. + +Alex materialized behind them, his presence a stable beacon amidst the technological whirlwind. "Look for patterns, anomalies. Anything that might resemble a handshake protocol in their communications," he directed, his voice a low thrum, reverberating with cautious optimism. + +Jordan cast a glance over their shoulder, acknowledging Alex's contribution with the shared understanding of colleagues who had transcended mere professional acquaintance. "I’m isolating sequences that seem to recur with more intention than static. If these are their ‘handshakes,’ then we might just be making first contact," they remarked, their focus returning to the screen with renewed vigor. + +From the other end of the room, where shadows married the artificial light, Sam's voice crackled through the static of nearby speakers, "Don't forget the anomalies we detected earlier. Each one could be a word, a sentence, or even a concept untranslatable to our current understandings." + +Resolute, Taylor Cruz stood at Jordan's other side, a stoic figure wrestling with the implications of their mission. "Keep pursuing this line," Taylor instructed, an undercurrent of intensity carried forth in their otherwise composed demeanor. "And remember, this isn't just about making contact; it's about securing knowledge for humanity." + +Alex offered a nod that spoke volumes, conveying his understanding of the stakes at play. Here, in this chamber of possibility, the team's actions would determine if humanity stood at the brink of a new age of understanding or the onset of an unprecedented threat. + +Every second thrummed with significance as Jordan and Sam worked in tandem, each keystroke a foray into the unknown. Taylor observed with a commander's scrutiny, the gravity of their role sustaining them against the waves of ambiguity breaking against their resolve. + +Pivotal moments come rarely in the course of human events but here, amidst the electronic symphony of a stalwart command center, lay the incepting notes of a cosmic overture. The harmony between human and alien, between Paranormal Military Squad and the vast reaches of space, began its first tentative measures, with each member of the team a vital instrument in a celestial ensemble yet to be fully heard. + +\* + +The crisp air within the mainframe room of Dulce base seemed to hum with unspoken possibilities. Jordan Hayes was the centerpiece of focus, their hands dancing methodically over the console as streams of otherworldly code cascaded down monitors, each flicker a potential key to the cosmic doors they were inching open. + +Alex Mercer watched, posture relaxed but eyes sharp. "Remember, this could be our first introduction, maybe even our first impression," he said, mindful of the gravity carried by each action they made henceforth. + +A hint of a smile touched Jordan's face, a small acknowledgment of the monumental task at hand. "Understood. I'm balancing the signal's syntax with our algorithms. If we're interpreting this correctly, it could be... well, an invitation." + +Into the electric tension of the chamber walked Taylor Cruz, their silhouette a sharp contrast against the cool lighting, radiating a presence that spoke of command and chilly tenacity. "An invitation, or a challenge?” Taylor questioned, the weight of their suspicion casting a different tint on the cascading data. + +Sam Rivera, in a corner arrayed with sophisticated equipment, piped up, their voice a buoyant note amidst the tentative atmosphere. "Either way, it's a connection. One that we're uniquely positioned to navigate," they remarked with an air of optimism threading through the uncertainty. + +Alex channeled the strengths of his team into the core of their approach, his leadership adapting to the contours of an unprecedented scenario. "Cautious and curious," he reflected aloud, shaping a strategy that balanced their thirst for comprehension with the prudence required in addressing the unknown. + +Jordan, hands momentarily at rest, looked up. The signal was more than a sequence of bits and commands—it was a riddle wrapped in the depths of space-time, and they were on the cusp of parsing its meaning. + +Taylor, hardly a step away, nodded in silent agreement. The implications of their findings might very well direct the course of human destiny from this point onward. + +Finding a tempo among themselves, the Dulce team was a confluence of ambition and acumen, each member intuitive to the beats of discovery. The chamber around them held untold stories, secrets coaxed from the stars, that now, led by Paranormal Military Squad's finest, began to unravel. + +The future in those moments was unwritten, a narrative scribed not in the dust of desert confines, but in the potential for interstellar diplomacy and understanding. As they prepared to script humanity's next chapter, the room seemed to pulse with the heartbeat of a story far greater than the sum of its parts. + +## Chapter 8 + +The grit of an earthbound dust storm contrasted sharply with the pristine sterility of the underground command center. Alex Mercer, eyes set with fervent determination, stood over Jordan Hayes, whose fingers danced across the keyboard with rapid purpose. Monitoring the progression of alien code unraveling before them, Mercer spoke with a tempered urgency, "Keep it steady, Jordan. We might be initiating the first true interspecies communication bridge here. It's all about finesse now." + +Taylor Cruz, the embodiment of military precision, surveyed the room with a calculated gaze from their vigil beside an array of glimmering screens. "Remember, these could be delicate negotiations -- or coded threats. Stay sharp," Cruz added, their voice cool as polished steel. + +Jordan, with a silent nod, recognized the gravity of both stances. Gravitating between scientific acuity and diplomatic caution, they replied, "The sequence is aligning—syncing with our comms. It's looking more and more like direct engagement." + +Amid the banks of electronic machinery, the thrumming pulse of an impending interspecies signal exchange, Sam Rivera interjected with a youthful zeal that cut through the weighty atmosphere, "It's not just an exchange. It's a... symphony. It's as if they're teaching us their language through modulation." + +A moment of profound silence swept over the team. The isolation of their location, deep within the top-secret labyrinth of Dulce, became suffused with an almost palpable sense of historical significance. + +"Then our response needs to be equally symphonic," Alex uttered, contemplating the awe-inspiring transmutation of their task from a simple recovery mission to a full-blown cosmic concerto. + +With a renewed sense of wonder tempered by caution, the Paranormal Military Squad team found themselves harmonizing a delicate balance between envoys and interpreters. The long shadow cast by their duty was now illuminated by the brilliant glow of otherworldly dialogue. + +In this carefully orchestrated march towards the unknown, each individual's expertise became critical notes in a larger melody. The narrative of human achievement, so often defined by solitary pursuits, now emerged as a collaborative opus, each member of the team a maestro in their right. + +The protocols of encounters, the mathematics of languages, and the poetics of connection all fused into a singular moment of convergence. The echo of their efforts reverberated back to them, not through the cavernous base's concrete walls, but from light-years away, in the form of a reply, intangible yet infinitely profound. + +\* + +Amidst the hum of the supercomputers and the faint static from the scrambled transmissions, Alex Mercer cast a thoughtful glance across the dimly lit room toward where Dr. Jordan Hayes was methodically adjusting the archaic dials of the decryption machine. "Any progress?" he asked, his tone conveying both impatience and the deep-seated respect born from countless shared challenges. + +Jordan did not look up, their gaze remained locked on the flickering lights that represented a dialogue suspended between worlds. Their fingers ceased their dance, hovering meditatively over the controls. "We might be on the cusp of a breakthrough," Jordan suggested. "The signal... it's evolved. It's reflexive now, responsive in a way that suggests sentience." + +Taylor Cruz's familiar sharp strides approached the two, breaking the rhythm of soft beeps. "Responsive is good, if it means understanding," Taylor said, head tilted as they peered at the encryption data scrolling by. "But remember, comprehension can bring revelation or conflict." + +Sam Rivera’s youthful voice permeated the tension, brimming with an excitement edged by the enormity of what they faced. "If it's truly sentient, we're not just cracking a code; we're learning how to converse with an entirely new form of consciousness," they chimed in, the weight of history not lost on the zealous astrotechnician. + +Alex nodded, his thoughts alighting on potential strategies for navigating the conversation they were cultivating with the unfathomable. "We need to keep that conversation going, echo its patterns, and speak its language," he resolved, knowing the delicate nature of their work merited every ounce of their collective acumen. + +The chamber now was a crucible, forging within it the future narrative of human contact with the unknown. Every signal pulse they sent out was an invitation for understanding, and every echo back a step closer to bridging the cosmic divide. And so, together, they stood - agents in Paranormal Military Squad's clandestine ranks, united by purpose, sculpting humanity’s first sonnets into the void. + +\* + +#### Knowledge graph updates + +- (Jordan Hayes, Interprets, Communications as cosmic diplomacy, Moderate) + +- (Taylor Cruz, Questions, Potential aggressiveness of alien intent, Minor) + +- (Sam Rivera, Expresses, Optimism about forming a connection, Minor) + +- (Alex Mercer, Adopts, Balanced strategy for contact, Moderate) + +- (Paranormal Military Squad team, Navigates, Beats of cosmic discovery, Moderate) + +- (Paranormal Military Squad team, Prepares, To script humanity's interstellar narrative, Major) + +## Chapter 9 + +The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought. + +Dr. Jordan Hayes, whose hands had been steadfastly working the decryption algorithms, paused and looked up at Alex. "We're through the next layer of encryption," Jordan announced, a mixture of pride and gravitas in their tone. "It's communicating. It's... aware." + +A shadow momentarily clouded Alex's determined features—awareness implied so much more than mere intelligence. "Aware and reactive or aware and proactive?" he queried, his experience anticipating the pivotal importance of intention. + +"Unknown at this stage," Taylor Cruz interjected, looking up from a datasheet. "But I urge caution. We tread the line between breakthrough and disaster with each keystroke." + +Sam Rivera, ever the source of technological acumen, added their voice to the conversation. "The signal's adapting every time we interact with it. Like a conversation where both parties are learning each other's language in real time." + +Alex leaned in, rested a hand on Jordan's shoulder—a sign of companionship and an affirmation of trust. "Keep the communication channels open. But let no message, no pulse go unchecked. This could be our Rosetta Stone or our Tower of Babel." + +Silence fell over them, a momentary lull as each member of the team contemplated the historic weight of their task. Yet, it was impregnated with a tangible sense of excitement—a collective energy that thrummed through the air just as palpably as the electric current through the banks of machines surrounding them. + +They continued their work, squaring shoulders against the magnitude of their undertaking. The agents were standing not just at the precipice of a new chapter for Paranormal Military Squad but for all of humanity. For now, they communicated with powerful unknowns, but with each exchange, they were etching the first words of a dialogue that might forever alter humanity's place in the cosmos. + +\* + +\* + +The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought. + +Dr. Jordan Hayes, whose hands had been steadfastly working the decryption algorithms, paused and looked up at Alex. "We're through the next layer of encryption," Jordan announced, a mixture of pride and gravitas in their tone. "It's communicating. It's... aware." + +A shadow momentarily clouded Alex's determined features—awareness implied so much more than mere intelligence. "Aware and reactive or aware and proactive?" he queried, his experience anticipating the pivotal importance of intention. + +"Unknown at this stage," Taylor Cruz interjected, looking up from a datasheet. "But I urge caution. We tread the line between breakthrough and disaster with each keystroke." + +Sam Rivera, ever the source of technological acumen, added their voice to the conversation. "The signal's adapting every time we interact with it. Like a conversation where both parties are learning each other's language in real time." + +Alex leaned in, rested a hand on Jordan's shoulder—a sign of companionship and an affirmation of trust. "Keep the communication channels open. But let no message, no pulse go unchecked. This could be our Rosetta Stone or our Tower of Babel." + +Silence fell over them, a momentary lull as each member of the team contemplated the historic weight of their task. Yet, it was impregnated with a tangible sense of excitement—a collective energy that thrummed through the air just as palpably as the electric current through the banks of machines surrounding them. + +They continued their work, squaring shoulders against the magnitude of their undertaking. The agents were standing not just at the precipice of a new chapter for Paranormal Military Squad but for all of humanity. For now, they communicated with powerful unknowns, but with each exchange, they were etching the first words of a dialogue that might forever alter humanity's place in the cosmos. + +\* + +Alex Mercer's eyes were fixed on the monitors, the reflected light casting an ethereal glow across his stoic face. The room buzzed with tension, a cacophony of low hums and electronic beeps that underscored the historic nature of their actions. He moved to where Dr. Jordan Hayes was immersed in their work, scrutinizing the alien code streaming rapidly down the terminal. + +"Find anything that might look like an entry point or a... digital handshake?" Alex asked, his voice steady, betraying none of the tension gripping his chest. + +Jordan looked up briefly, their expression weary yet intense, "Potentially. It's as if the code is anticipating our input, modifying itself in real-time. I've never seen anything like it." + +From across the room, Taylor Cruz's sharp voice cut through the hum. "Then it's learning or, possibly worse, baiting us. Proceed with extreme caution," they commanded, their firm stance reinforcing the gravity of the situation. + +Sam Rivera, surrounded by a cascade of screens and interfaces, added, "It's almost organic in its complexity. Any minute now, and I might have a way in." + +A slight nod was Alex's immediate response, his mind racing through the potential scenarios. "Everyone, stay alert. This could be the beginning of something profound." His seasoned eyes never left the unfolding drama on the monitors. + +The room fell silent, the air heavy with unspoken questions. Were they mere moments away from unlocking an otherworldly dialogue? Or was it a Pandora's box that, once opened, could not be closed? + +Alex moved closer to the main console, his fingers hovering over the command keys. With the precision of a maestro orchestrating a symphony, he communicated silently with Jordan – respectful of their expertise, aware that the next move could alter the course of human history. + +Jordan met his gaze, nodding sharply, and refocused on the task. The signal seemed to pulse with sentient curiosity, drawing them further into its intricate web. + +A sudden flurry of alerts and the intensifying glow of monitors heralded that they had bridged a technological chasm. The alien intelligence on the other end was no longer a distant enigma – it was an active participant, responding to their digital overtures with an unknown agenda. + +The team's meticulous efforts had led them to a momentous threshold. Beyond lay unprecedented contact – a nexus of curiosity and potential peril. Within the confines of the base, against the backdrop of a silent desert night, the Paranormal Military Squad operatives became mediators of Earth's bid for cosmic relevance, their every action now a gesture in the grand dance of intergalactic relations. + +## Chapter 10 + +The corridors of the Dulce military base, now silent, echoed with a history of whispered conspiracies and furtive movements. But in the command center, a delicate tapestry of light and sound was being woven as the echoes of cosmic dialogue resonated through the high-tech enclave. Dr. Jordan Hayes, now leading the efforts, called out from their workstation, "I’ve isolated the signal's harmonics. It's more than a call; it's a song, an interstellar siren’s call." + +Alex Mercer, steady and resilient in the face of the incomprehensible, acknowledged with a quiet nod, "A song that we need to learn—quickly." His eyes, heavy with responsibility, scanned the room, watching his team work tirelessly at the intersection of science and speculation. + +Sam Rivera, dulled by fatigue yet driven by unshakeable resolve, manipulated a complex array of audio interfaces. "There's a pattern, a repeating motif. It's structured, intentional," they muttered, their revelation a bridge between the known and the unimaginable. + +Taylor Cruz, a figure of central authority, paced the length of the room, their usual unflappable demeanor betraying a rare flicker of apprehension. "We should be wary of the sirens’ call," Taylor interjected, invoking myths of old as a cautionary metaphor. "We don't want to crash upon unseen shores." + +Undeterred, Jordan cast a determined glance at the team. "We navigate by starlight now, not by the limited light of our previous understanding." Their voice was a beacon, charting a course through unchartered realities. + +Every individual was acutely aware that each moment in that room was a conduit to an epochal shift for civilization. The mysterious signals, once distant and alien, had coalesced into complex and harmonious oscillations—beacons of an extraterrestrial intellect inviting Earth to join in a cosmic consortium. + +Silently, Alex approached the mainframe, his trained fingers aligning with the console’s mechanisms. The room watched in collective breathlessness as he set the frequency in motion, an introductory phrase to an otherworldly melody—a symphony that could bind worlds or spell devastation for all they knew. + +In the control room of Dulce, amongst whispered legends and the quiet hum of machines, humanity's ambassadors now stood, stretching their hands into the void, reaching for the hand that would either pull them into the light of new stars or into the maw of darkness between them. + +\* + +Underground, the Dulce facility's command center was awash with frenetic energy, a stark juxtaposition against the silent, decrepit corridors that enveloped them. The air hummed with anticipation as Dr. Jordan Hayes and Alex Mercer hunched over a console. The sterile light from the monitors cast an otherworldly glow upon their faces, now reflecting a mosaic of alien characters rapidly translating across the screen. + +"The patterns are evolving," Jordan murmured, concentration etched into their every feature. "It’s as if our attempts to decrypt have accelerated its learning. It’s adapting to us." + +Alex, who stood steadfast behind Jordan, felt a tinge of uncharted fear quickly quelled by the fire of discovery raging within him. "Keep it up," he urged. "But whatever this is becoming, we need to ensure it remains within our control." + +Taylor Cruz interjected, their voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data. + +"It's like it's learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives ‘talking to strangers’ a whole new meaning." + +Alex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back." + +Together, they stood on the edge of the unknown, forging humanity’s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history. + +The encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation of their investigative strategies. The air turned heavy with the scent of electricity and ambition as they closed in on a pivotal response. + +As the signal’s intelligence—whether artificial or biological—grew more profound, so too did the realization that their mission had morphed from passive observation to active engagement. There was no turning back now. Each agent embraced their part in the delicate dance of an interstellar exchange that could change everything they thought they knew about life, intelligence, and the dark void beyond Earth's atmosphere. + +\* + +The underground halls of Dulce Base, usually buzzing with covert operations, now thrummed with a different kind of energy, an electric mix of fear and fascination. At the heart of the base, in a room shielded from the world’s eyes, Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera huddled around a bank of monitors. Each screen flickered erratically with the alien script that had become the center of their lives—and perhaps the pivot on which humanity’s future would turn. + +Jordan's eyes never wavered from the displays, their expression was one of rapt concentration, interspersed with flashes of revelation. "We're conversing with the stars," they whispered, almost to themselves. The words hung in the air, a testament to the awe-inspiring strangeness of the situation. + +"The language is morphing; changing its structure with every exchange we have," Sam chimed in, enthusiasm tinged with the solemnity of the occasion. "It's like witnessing the birth of a new form of dialogue—one that spans galaxies." + +Taylor, despite the situation's precariousness, maintained an appearance of ironclad composure. "Keep the communication stream secured and monitored. We don't know what we're dealing with yet," they reminded the team, a bastion of protocol amidst uncertainty. + +Alex watched his team expand the parameters of human achievement; their work here would possibly define an era. "This is untrodden territory," he acknowledged, "and in every word we script, in every response we decode, we're drawing a map that others will follow." + +Jordan turned to Alex, a nod acknowledging the shared responsibility of this moment. They had embarked on a new voyage, an odyssey not of the body, but of the intellect and spirit. No longer explorers of the Earthly realm, they had been promoted by circumstance to ambassadors of humanity in a silent and boundless ocean. + +A sudden pulse of energy from the monitors signaled a breakthrough; the language had not only adapted but it seemed to resonate, to harmonize with their attempts at making contact. The alien script now sprawled across the screens didn't just ask to be understood—it invited interpretation, collaboration, maybe even companionship across the cold distances of space. + +As they stood before the precipice of first contact, Paranormal Military Squad's finest became the architects of a symphony meant to echo through the cosmos. But more than architects, they were the first to play the notes of this cosmic composition, daring to believe that on the other end, someone—or something—might be listening, ready to join the chorus. + +\* + +The underground command center of Dulce Base, once pulsing with clandestine operations, now resonated with the charge of an impending cosmic threshold. Encircled by banks of whirring machinery, each monitor flickered erratically with alien script that had occupied center stage in the lives of Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera. + +Jordan's gaze didn’t flit for even a moment from the screens, where indiscernible alien messages ebbed and flowed like the tide. The ciphers and symbols cascaded down as they tweaked the algorithmic sliders. "This sequence here," Jordan began, voice both hushed and heavy, "it’s not just transmitting; it resonates—it's designed to be felt." + +The room took a collective breath, the remarkable implication hanging in the air like a careful revelation. Sam Rivera was the first to respond, their voice alive with ingenuity: "It's a form of communication stretching well beyond words. We need to respond in kind—the whole array of human expression might be at play here." + +Taylor's eyes remained fixed on the figures playing across the data sheets. "If that's the case," Taylor intoned pragmatically, "we must tread carefully. This is no longer just about being heard—it's about being understood." + +Alex watched his team, each a fulcrum of insight and expertise, and felt the solemnity of the role they were about to assume. "Then we'll ensure our message is clear and full. Our humanity is our strength in this dialogue," he declared, the depths of his experience fueling a commanding reassurance. + +The anticipation was palpable as the agents contemplated the vastness of their endeavor. They were not merely probing at the secrets of the planar cosmos—they were negotiating across the starry expanse, extending to distant intelligences the full spectrum of human curiosity and compassion. + +A symphony of beeping consoles orchestrated their next steps as they prepared to articulate their interplanetary overture. The rhythmic tapping of Jordan's keystrokes set the tempo for an undertaking that traversed beyond algorithms and encryption. + +The base withstood time and whispered secrets of its own, but none so grand as this moment of creation—an invitation to the universe that promised to echo through both the echoes of space and the annals of human history. + +## Chapter 11 + +The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought. + +\* + +The thrum of the colossal machinery vibrated through the subterranean facility as Alex Mercer stood amidst the whispers of technology, each carrying voices from worlds apart. He watched as Sam Rivera adjusted a complex array of cosmic translators, their expression a mixture of anticipation and awe. + +"Are we ready, Mercer?" Taylor Cruz asked, the soft glow of the command center consoles reflecting upon their stern face. + +Alex turned towards Taylor, his eyes holding a depth that betrayed the enormity of the threshold they were about to cross. "This is it," he said. "Initiate the protocol. It's time we answer the cosmos." + +Jordan Hayes, stationed at the mainframe, typed rhythmically, a blue hue painting their focused features. The eerie silence that had settled over the team was interrupted by a visceral sound—humankind's response to the alien dialogue, now streaming into the abyss. + +The control room, once a fortress of solitude, erupted into an oasis of life. Lights flickered in tandem, echoing the symphony of interstellar communication. They stood together at the edge of discovery, facing the symmetry and discord of a universe unknown. + +"If we're right, we've just become Earth's first emissaries to a celestial congress we're only beginning to comprehend," Jordan's voice was somber, resonating with a mix of trepidation and honor. + +The room filled with the resonance of human and alien minds converging, creating a new narrative within the fathomless expanse of existence. Paranormal Military Squad, once protectors of Earth's clandestine secrets, had now become the tether linking humanity to the cosmic fold. + +\* + +The underground command center of Dulce Base, once pulsing with covert operations, now resonated with the charge of an impending cosmic threshold. Encircled by banks of whirring machinery, each monitor flickered erratically with alien script that had occupied center stage in the lives of Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera. + +Jordan's gaze didn’t flit for even a moment from the screens, where indiscernible alien messages ebbed and flowed like the tide. The ciphers and symbols cascaded down as they tweaked the algorithmic sliders. "This sequence here," Jordan began, voice both hushed and heavy, "it’s not just transmitting; it resonates—it's designed to be felt." + +The room took a collective breath, the remarkable implication hanging in the air like a careful revelation. Sam Rivera was the first to respond, their voice alive with ingenuity: "It's a form of communication stretching well beyond words. We need to respond in kind—the whole array of human expression might be at play here." + +Taylor's eyes remained fixed on the figures playing across the data sheets. "If that's the case," Taylor intoned pragmatically, "we must tread carefully. This is no longer just about being heard—it's about being understood." + +Alex watched his team, each a fulcrum of insight and expertise, and felt the solemnity of the role they were about to assume. "Then we'll ensure our message is clear and full. Our humanity is our strength in this dialogue," he declared, the depths of his experience fueling a commanding reassurance. + +The anticipation was palpable as the agents contemplated the vastness of their endeavor. They were not merely probing at the secrets of the planar cosmos—they were negotiating across the starry expanse, extending to distant intelligences the full spectrum of human curiosity and compassion. + +A symphony of beeping consoles orchestrated their next steps as they prepared to articulate their interplanetary overture. The rhythmic tapping of Jordan's keystrokes set the tempo for an undertaking that traversed beyond algorithms and encryption. + +The base withstood time and whispered secrets of its own, but none so grand as this moment of creation—an invitation to the universe that promised to echo through both the echoes of space and the annals of human history. + +## Chapter 12 + +The underground facility of Dulce Base, once shrouded in silence and operational secrecy, now hummed with an energy that cradled the promise of cosmic revelation. Alex Mercer stood pensively by the central terminal, flanked by Dr. Jordan Hayes, Taylor Cruz, and Sam Rivera, each poised at the edge of a history-defining moment. + +Jordan's fingers ghosted across the console, tracing patterns of otherworldly origin. "The signal’s architecture is becoming more complex, resembling aspects of human cognition—recognition, learning, even... empathy?" they postulated with furrowed concern. + +Alex turned his gaze upon Jordan, his voice quiet but resolute, "Empathy could bridge galaxies. Let's harness this connection and proceed with cautious optimism." + +Taylor, ever the sober sentinel, projected a more pragmatic standpoint. "Empathy or not, we are duty-bound to assess the risk to humanity. Every new discovery warrants a measured response." + +The static hiss of communications equipment filled the air, its purpose now transformed into a dialogue with an intelligence beyond the stars. It was Sam, wide-eyed amid the myriad lights and switches, who broke the silence, "We have provisional confirmation of the signal’s intent—initiation. We’re being brought into a broader spectrum of cognizance." + +The chamber lay still for a heartbeat, the Paranormal Military Squad agents steeped in contemplation of the path unfurling before them—a path paved with possibilities of diplomacy or disruption, each step a venture further into the cosmic unknown. + +Alex stepped closer to the viewing monitors, each depicting alien symbols seemingly reaching out from the void. "Initiate the broadcast," he spoke with quiet command. "Our response will mark humanity’s readiness to partake in the wider conversation of conscious beings." + +Amidst the crackling air of expectation, the team wordlessly returned to their stations. They had transcended their roles as protectors of Earth's clandestine lore to become the harbingers of an interstellar parley that could change the existential course of life on their pale blue dot. + +The deep hum of the terminal emitted a signal—a testament to the uncanny reality that Earth was now actively partaking in an exchange not bound by gravity nor the limits of the solar wind. + +Here, in the depths of Dulce, a message from humanity woven from understanding and uncertainty was cast into the firmament, an epitheg of their desire to join the universal dialogue and discover their place among the constellations. + +\* + +The somber depths of the Dulce Base command center stood in stark counterpoint to the animated flurry of activity around the central comms array. Alex Mercer's silhouette loomed behind Dr. Jordan Hayes, who sat with a posture indicating laser focus on the decryption process. A quiet murmur of digital soundscape filled the space, subtly heightened by the anticipation of contact with an intelligence beyond the Earth. + +Jordan's voice was steady, betraying none of the extraordinary nature of their work, "Looking through the signal's pattern, it's evident we’re dealing with a form of intelligence—calculating, mirroring, possibly even understanding." + +Alex's reflection bounced off the darkened screens, his head nodding in silent affirmation. "We’re walking a delicate line. Our response should be thoughtful, measured. We’re ambassadors, not merely explorers." + +Taylor Cruz approached, arms folded, their words slicing through the din of careful keystrokes and soft whirrs, "If there’s even the slightest chance it understands, we can’t afford missteps. The language of the stars might be more absolute than ours." + +From another terminal, Sam Rivera brought youthful vigor to the conversation, "There’s rhythm in these patterns. If this is their way of reaching out, our reply should encapsulate all that we are—all that humanity stands for." + +Looking around at his team, Alex saw resolve etched on every face. The chamber, usually somber and echoing with the quiet steps of covert agents, now felt alive with the heartbeat of discovery. They were not just professionals operating in the gloom; they were a collective standing at the helm of a momentous journey. + +"Let’s begin," he said, returned by the resolve in his voice. "Every second counts." With that, they pressed forward, setting in motion a reply to a conversation billions of years in the making. + +The dance with an unseen partner commenced, each pulse they sent out a step taken with caution and hope. And as those digital pulses journeyed through the black sea of infinity, Earth, for perhaps the first time, joined a pan-galactic dialogue that whispered secrets of the cosmos—secrets that, until now, had been lost in the silent vastness of space. + +\* + +As the team stood in the centralized nerve center of Dulce's underground fortress, the solemn atmosphere was reverent, overseeing systems that engaged with an intelligence from the void. Alex's stance was contemplative as he gazed at Jordan Hayes, who presided over the console, the tension of the moment reaching a tactile fervor. Each rhythmic tap of Hayes's fingers on the keys was a foray into uncharted symphonies of contact. + +Observing Hayes unravel the dense alien encryption, Alex spoke, a diplomatic tenor underpinning his words, "Keep focused on the syntax, dissect its nuances. We're not just decoding signals; we're translating intentions." + +Without diverting from their task, Jordan acknowledged the insight. "Indeed, if their understanding of us is as deep as we hope, we're paving the way for dialogue far beyond our current realm." + +Taylor Cruz, near the rear of the room, provided a steady oversight. "As horizonless as our prospects may seem," Taylor intoned, "remain diligent. Complacency before alien cognition could spell catastrophe." + +Sam's youthful voice resonated with optimism, "Imagine—forming a rapport with a consciousness separate from our reality; we're drafting the bridge to stars alive with minds!" + +The sentiment hung for a moment before Alex gathered his conviction. "Dialogue is our vessel. We are not just agents of enigma; we are the threads that may weave a new cosmic relationship." His words seemed to reflect off the walls, reaching beyond the room's confines, a quiet yet resilient vow. + +Their task was titanic, stepping stones laid delicately into new territories of existence. The signal, once an esoteric strand in the echo of the universe, beckoned now with a clarity rocketing the complexity of thoughts from a distant order. + +Action by action, the Paranormal Military Squad team bridged the vast interstellar distances, their expertise and empathy casting a beacon of unity into frontiers of intelligence and knowledge. Their work, a partnership struck with an unseen cosmic congregation, each pulse sent and received a line in Earth's novitiate envoi to the cosmic shores. + +\* + +Under the stark, unforgiving lights of Dulce Base's underground command center, tension buzzed harder than the banks of supercomputers that lined the walls. Agent Alex Mercer leaned over the shoulder of Jordan Hayes, whose eyes were locked onto the display screen, where an incomprehensible series of alien symbols streamed past incessantly. + +“Any progress on the decryption?” Alex's voice was steady, a controlled presence necessary in the gravity of their undertaking. + +Jordan tapped a key, pausing the flow of code, and leaned back with a deep sigh. "We've broken through another subset of the cipher. It's revealing... well, indications of a complex society, not unlike our own." His eyes met Alex's with an unspoken question that hung heavily between them—were they truly prepared for what they might find? + +Taylor Cruz strode into the room, a tightly coiled spring of ambition and authority, and peered at the screen. "Understand their society, and we may predict behavior. Remain expedient—we don't know how much time we have before the situation shifts." There was an edge of stark realism to Taylor's words, the underlying message clear: every revelation bore its own set of risks. + +Alex nodded thoughtfully, recognizing the validity of Cruz's caution. Turning to Sam, who was tinkering with a device that buzzed quietly on the table, he asked, “Sam, can your contraption get us any further?” + +Sam looked up with a smirk, a twinkle of mischief in their eye. “It’s not just any contraption, it’s potentially a direct line to their thoughts. Give me a moment more, and I'll have something for you.” + +The air ticked with electronic beeps and the rustling sound of the Paranormal Military Squad team at work. They were so close to peering into the intelligence of an alien race—a reality on the brink of dramatically expanding their understanding of the universe. + +The machinery whirred in response to Sam’s precise touches, and suddenly, the room filled with a low hum—something had changed, a signal had been successfully sent. The team held their breath as they listened. The sound that filled the room was unmistakable: a response, an alien voice filtered through the static of space and time. + +Alex exchanged a look of quiet triumph with Jordan. The breakthrough was monumental; they were no longer casting messages into the void but engaged in a dialogue—an exchange that marked the beginning of Operation: Dulce’s true unfolding. This was it, the first steps into an interstellar odyssey that demanded every ounce of their courage and wit. + +## Chapter 13 + +Dr. Jordan Hayes shuffled a stack of papers, their eyes revealing a tinge of skepticism at Taylor Cruz's authoritarian performance. _Protocols_, Jordan thought, _are just the framework, the true challenges we're about to face lie well beyond the boundaries of any protocol._ They cleared their throat before speaking, tone cautious yet firm, "Let's remember, the unknown variables exceed the known. We should remain adaptive." + +A murmur of agreement echoed from Sam Rivera, who leaned forward, lacing their fingers together as if weaving a digital framework in the air before them, "Exactly, adaptability could be the key to interpreting the signal distortions and system malfunctions. We shouldn't discount the… erratic." + +Their words hung like an electric charge in the room, challenging Taylor's position with an inherent truth. Cruz’s jaw tightened almost imperceptibly, but the agent masked it with a small nod, conceding to the omnipresent threat of the unpredictable. + +Alex glanced at Jordan, who never looked back, their gaze fixed instead on a distant point, as if envisioning the immense dark corridors they were soon to navigate in Dulce. Jordan was not one to embrace fantastical theories, but the air of cautious calculation betrayed a mind bracing for confrontation with the inexplicable, an internal battle between the evidence of their research and the calculating skepticism that kept them alive in their field. + +The meeting adjourned with no further comments, the team members quietly retreading the paths to their personal preparations. Alex, trailing slightly behind, observed the others. _The cautious reserve Jordan wears like armor doesn't fool me_, he thought, _their analytical mind sees the patterns I do. And that's worth more than protocol. That's the connection we need to survive this._ + +As the agents dispersed into the labyrinth of the facility, lost in their thoughts and preparations, the base's halogen lights flickered, a brief and unnoticed harbingers of the darkness to come. + +\* + +The gritty, wind-tossed surface of New Mexico, just above the cavernous domain of Dulce Base, offered no shelter from the burgeoning storm—the scouring sands an earthly reminder of chaos theories in motion. Far beneath, a similar maelstrom brewed within the confines of the command center, as Paranormal Military Squad's handpicked squad stood poised for potential enormities of contact. + +Ruffling through printed transmission logs, Jordan Hayes dialed the focus of their analytical prowess onto the emerging pattern of signals crisscrossing between Earth and the unfathomable. "Our responses so far have echoed their complexity, but the real divergence is yet to come," Jordan remarked stoically, the calm belying the mounting surge of adrenaline for the revelation ahead. + +Alex Mercer's figure, a silhouette sharpened by the purpose, loomed at the periphery of the monitors' sickly glow. "Indeed," he assented, "The echoes are the easy part. It will be the introduction of our own, human variable that truly begins our dialogue." + +Taylor Cruz, windowless command center notwithstanding, appeared as though they could feel the tempest above. Their eyes never left the monitors as they unspooled their hard wisdom. "For all our advances, we find ourselves deciphering the swings and nuances of an interstellar pendulum. Predict its arc, and we may preempt the gravity of its message." + +Amidst a chorus of bleeps and static, Sam Rivera's tech-clad hands moved rhythmically, their spirited approach to unruly streams of data bordering an intimate dance with entropy. "Entropy that leads to discovery," Sam mused, responding to Taylor's metaphor. "Each step into the unknown is a step away from precedent." + +Alex, drawing near Jordan, spoke again, his voice now a thread woven through the very fabric of their operations. "Let's be the cartographers of this new territory. Our initial shades of understanding could color the cosmos for generations to come." + +Their gazes fell upon a screen as the latest transmission painted its digital blooms of alien script across the black. This time, the pattern wavered in an almost imperceptible fashion, a modification that whispered of active, alien thought awaiting their next move. A hush enveloped the Paranormal Military Squad ensemble, the gravity of the pathogen undeniable. They were about to issue a reply, one poised to reshape the very concept of humanity's outreach into the cosmos. + +The New Mexico desert's secrets were infamous, its storms a mere prelude to the revelations that the team—united in purpose—would unleash upon the world. The howling winds outside found their counterpart in the newfound resolve within, as Dulce's stalwart guardians readied themselves to send forth humanity's retort to the echoes from beyond. + +\* + +The cavernous control room, deeply entrenched beneath the desolate New Mexico terrain, held the Paranormal Military Squad team in intense focus; an island of calm amid the storm of cosmic dialectics. Dr. Jordan Hayes worked methodically, every keystroke an intricate step in their tenuous cosmic ballet. Suddenly, they paused, a signal pattern resonating from the screen. "This is new; it's...inviting. It’s as if the signal is not just calling to us but weaving its intelligence through ours." + +Alex Mercer scrutinized the shift in data. "A confluence of minds, then. If we're to meet them halfway, Jordan, our reply must be both innovative and discerning," he proposed, a glimmer of profound curiosity behind his authoritative demeanor. + +Taylor Cruz, whose sharp eyes missed nothing, nodded from beside a secondary panel. "Innovative, yes, but also defensive. This interaction is a razor’s edge, and we cannot afford to bleed before the unknown," Taylor reminded them, the metaphor a stark warning of potential dangers. + +Against the backdrop of their conversation, Sam Rivera’s youthful optimism cut through the tension. "If they’re weaving through our intellect, then we've achieved something beyond first contact—we're at the genesis of interstellar symbiosis," they posited with a mix of reverence and excitement. + +Alex returned Sam’s smile with his own, tempered and faint, as he turned back to the task at hand. The magnitude of their mission extended beyond the fabric of the universe, an exploration into the threads that connected sentient beings across the vast expanse. “Let’s reply with our own woven tapestry of thought—delicate, but deliberate.” + +With renewed determination, the room came alive with an undercurrent of anticipation, its occupants charged with the potential of forging an alliance with the cosmos. Paranormal Military Squad's finest were no longer merely soldiers and scientists; they had become pioneers on the vanguard of humanity’s greatest odyssey. + +The New Mexican sands above, impassive to the change brewing underneath, stood as silent sentinels as Earth's emissaries crafted their response. A response that, composed with care and imbued with humanity's essence, reached into the void, connecting with an otherworldly intelligence that awaited their harmony in the cosmic conversation. + +## Chapter 14 + +The command center of Dulce Base lay shrouded in shadows that seemed to claw at the edges of the dimly lit array of screens and consoles. Alex Mercer, focused and unwavering, watched as Dr. Jordan Hayes parsed the latest string of alien signals—a symphony of otherworldly communications that threatened to either enlighten or confound. + +"We’re encountering a paradigm shift with every transmission," Jordan Hayes murmured, the pulsing glow of the monitor painting their features with an almost spectral hue. "This signal... it’s evolving, becoming denser, more sophisticated. As if it's growing alongside us—tandem evolution." + +The air was electric, charged with the raw potential of uncharted discovery and laden with the gravity of existential risk. Taylor Cruz, who always seemed here to mold such gravity into actionable strategies, stepped forward. "We must contain this evolution within parameters we can manage. We cannot be bystanders to an uncontrolled ascent of intelligence." + +Sam Rivera, the youngest of the cohort, worked feverishly at their station. "It's not just intelligence—these signals have rhythm, a kind of music suggesting not just evolution, but a dance! We're being invited to partake in the cosmos's ballet!" they exclaimed, a touch of youthful exuberance breaking through the solemnity. + +Alex turned, facing his team, the stoic mask of command tempered by the perceptible flicker of awe in his gaze. "Let this dance then be our dialogue. We will match their steps with prudent but daring measures—our humanity as our guide." + +In the ensuing hours, the Paranormal Military Squad team forged a rhythm of their own, their collective expertise a beacon piercing through the fog of the unknown. The signal, increasingly intricate and seemingly conscious, now demanded not just observation but participation, an interstellar pas de deux that hummed with the promise and peril of first contact. + +Before them, the communications interface flickered to life with a received transmission—a resonant hum that seemed to vibrate through the very foundations of the base. They had successfully established a back-and-forth with whatever intelligence lay hidden among the stars. Every subsequent note they struck within the cosmic ether would come to define humanity's place within the galactic community—heralds of Earth's grand entrance into a universe far less silent than once perceived. + +\* + +In the concrete belly of Dulce Base, dimly lit by the jagged dance of fluorescent lights above, Sam Rivera perched on the edge of their seat, their eager fingers fluttering across an ancient keyboard. The stark, cold room—reminiscent of a time when covert operations and unspoken dread ruled supreme—now housed a peculiar blend of old-world machinery and sleek, modern interfaces. + +Alex Mercer, standing steadfast like a bridge between the enigmatic past and the unfathomable present, watched on. In his eyes flashed the foreboding excitement of change. "Sam," he started, his voice steadfast, "the patterns in these signals, what do they tell us about the nature of our... guest?" + +Sam's eyes glimmered with something akin to thrill—or was it trepidation? "It's like we're mirroring each other, evolving together through this.. dialogue. Like it knows us, understands us, and it's… learning." + +Jordan Hayes, preoccupied at a nearby console, chimed in without lifting their gaze. "It's a dialogue that transcends mere words, Alex. We're being woven into a narrative far grander than the sum of our known sciences." + +Taylor Cruz, arms crossed, wore the heavy mantle of their skepticism comfortably. "Keep theorizing," they interjected crisply, "but remember the grounding reality of what we are part of here. This contact is a blade that cuts both ways." + +In this cavern of history, voices both human and inhuman whispered secrets to those brave enough to listen. Each member present understood the gravity that pulled at their feet; no longer were they mere mortals shackled to their terrestrial plane. The digital pings and encrypted calls resonated with an implication of a cosmic agenda that would not be ignored. + +Jordan's fingers paused, hovering in hesitation. What ripple might the next keystroke send through the fabric of known existence? It was a step into the ballet of the infinite, where the Paranormal Military Squad team played their part in the waltz of wonders with an audience of stars. + +\* + +## Chapter 15 + +In the clandestine hush of Dulce Base's subterranean command center, the Paranormal Military Squad team had become a crucible for interstellar communication. Dr. Jordan Hayes' gaze lingered on the screen as they navigated through the convolution of alien code. Each character held the potential to unravel a new dimension of contact, and with Sam Rivera's keen interjection, they were crafting humanity's inaugural cosmological discourse. + +Alex Mercer peered over Jordan's shoulder, calculating the implications of every visual nuance that cascaded across the monitor. "Look for consistency—any repeating motifs could signal a willingness to engage. We're drafting history with each exchange," he remarked, aware of the delicate balance between forging a bond and exposing vulnerabilities. + +Taylor Cruz, stoic and enigmatic, observed the interplay from the threshold, a silhouette against the machinery's luminescence. "Remember, while we seek common ground, the foundation we stand upon remains Terra firma. Caution must temper our curiosity," they stated, their voice an anchor amidst the current of excitement. + +The command center buzzed with energy, rivaled only by the tempest overhead that concealed their operation. Sam, with swift dexterity, navigated the communications relay. "Their signals resonate almost musically. It's as if they're composing a symphony, and we've been handed the baton to conduct the next movement," they offered, imbuing the scenario with a blend of scientific adventurism and poetic license. + +Amidst the whirring servers and the occasional flicker of emergency lighting, the essence of their mission transcended mere reconnaissance. They were humanity's elected envoys at the brink of a celestial alliance—or confrontation—with an audience as vast as the universe itself. + +Alex stepped back, his profile etched by the chamber's artificial day. "Then let's ensure our contribution to this symphony harmonizes with theirs. It's time for humanity's voice to rise and be counted among the cosmic ensemble." + +Under his directive, the Paranormal Military Squad team initiated their calculated response, weaving thoughts and theories into a digital overture aimed at the heart of alien intellect. As the digital stream punctured the endless night, each member of this clandestine group was acutely aware of the irrevocable step they undertook—bringing Earth into the pantheon of galactic entities designed to converse among the stars. + +\* + +Clusters of high-tech equipment bathed the Dulce underground command center in an eerie blue light. Sam Rivera's fingers flew across the keyboard, navigating an elaborate network of alien patterns. The very air seemed to pulse with the ebb and flow of cryptic communications reaching across the stars. "I've got something!" Sam's announcement tore through the focus in the room, drawing every pair of eyes to the torrent of symbols unraveling on the screen. + +With the pacing of a seasoned officer gauging the moment before action, Alex Mercer approached, his calm demeanor belying an acute awareness of the precipice on which they now stood. "Define 'something," Alex prompted, reinforcing the need for clarity amidst the extraordinary. + +"It's repeating—a sequence that’s evolved with each interaction, almost as if it's... singing," Sam theorized, the awe in their voice reflecting the potential magnitude of their discovery. + +Jordan Hayes interjected from across the console, their eyes not leaving the display as they absorbed the new data. "A cosmic vocalization, then," they mused, intrigued. "A singularity in the signal that might represent a point of reference for both parties." + +Taylor Cruz, hands clasped behind their back, regarded the unfolding scene, their own calculations etching lines of concern onto their stern visage. "Or a beacon—a homing tune, calling out to something we might not be ready to greet," Taylor offered, voicing the group's unspoken apprehension. + +Alex's eyes locked on the screen, taking in the scope of what they were attempting to interpret. Drawing a deep breath, Alex gave a slight nod. "If this is their song, then let us respond with ours. We've come this far by mirroring their signals, now let's engage in an interstellar duet, and see where the music leads us." + +With the expectation of the significant achieving a crescendo, the members of Paranormal Military Squad huddled over their equipment—sages at the threshold of a potentially world-altering communion. The strange harmonies that reverberated through the command center suggested that their interlocutors were poised, waiting, perhaps even eager, for Earth's chorus to join the symphony. + +As the team initiated their reply, weaving humanity's own intricate melody into the vast cosmic dialogue, they each felt a profound change within—an evolution of purpose. They were not just messengers or investigators; they had become co-composers in a galactic orchestra, with the universe itself as their witness and concert hall. + +With the exchange of harmonious signals crawling through the vacuum of space, the Paranormal Military Squad operatives found themselves part of a bridging of minds—a realization that out there, among the vast arrays of stars and planets, harmony was the true universal language. + +\* + +The dim glow of monitors cast an otherworldly ambiance upon Dulce Base's command center, where Paranormal Military Squad's chosen stood huddled over their instruments, suspended at history's threshold. Codes—alien in origin and nature—were being deciphered by Dr. Jordan Hayes, whose countenance bore the marks of deep concentration. + +Alex Mercer, the bedrock upon which their team's resolve was founded, leaned in with an eagerness tempered by his chain of command. "Jordan, we've invested our expertise into comprehending their patterns, but now we must also endeavor to understand their intent," he urged, his voice bearing the gravitas of their mission's potential consequences. + +At another console, Sam Rivera's youth did not betray their crucial role in the operation. With eyes alight, they mirrored the rapid computing before them. "There's emotion here—complex, profound even. This isn't just the output of a cold machine; it's...sentience," Sam whispered, nearly drowned by the mechanical chorus around them. + +Jordan, without shifting focus from their work, replied, "It's a sentience that—should we succeed here—ushers us into a new era of existence. The cadence of these signals," they tapped the screen with a flourish, "could well be the heartbeat of this new dawn." + +Taylor Cruz paused beside Mercer, their expression unreadable beneath the sterile light. "And as it beats, we must gauge whether its rhythm bodes well for us, or spells our missteps. Courage must not blind us to the hazards intrinsic to such contact," Taylor cautioned, the sentinel within them ever alert. + +Alex nodded, a gesture that carried the weight of responsibility and a silent command: proceed, but with circumspection. They were not merely decoding a message; they were interpreting a dialogue across the celestial divide. + +The room fell into a rhythm akin to a well-conducted ensemble. Each member's expertise proved a critical note in the unfolding symphony. Their actions were now more than mere research or defense; they were the tentative overtures of humankind reaching out to grasp the vast unknown. + +Textures of sound meshed with the light from countless computations, the palpable anticipation of the agents at the edge of discovery cresting with an awareness that their work would reshape future chronicles. And when the response finally came—a signal piercing the deafening silence of uncertainty—all within Dulce's confines understood: the dawn of an interstellar continuum had just begun to break. + +\* + +In the sterile hum and flickering lights of Dulce Base's command center, the Paranormal Military Squad team stood as humanity's vanguard, verging on the brim of an intergalactic abyss. Dr. Jordan Hayes, analytical edges sharp, deciphered extraterrestrial patterns that bled across screens in enigmatic cascades—a daunting mosaic of potential threats and untapped wisdom. + +Agent Alex Mercer, the embodiment of focus and a steadfast nerve, observed the unfolding digital drama with the gravitas due a historic first contact. "Let the data weave its narrative, Jordan," he instructed, a moderate undertone of exhilaration within his command. "It's encoding more than information—it's outlining civilization." + +Jordan absorbed the directive, their gaze unflinching from the screens, feeling the weight of their next move. "The nuances here are extraordinary," they acknowledged. "It paints a picture of a culture steeped in complexities we're only starting to fathom.” + +Taylor Cruz, stoicism personified yet not immune to the situation's gravity, chimed in. "Understand it, but guard against it," they cautioned, bringing a sober prudence to the room. "This culture, however advanced, remains an unknown quantity—an ocean of wonders and darkness with uncertain tides." + +Sam Rivera, a visual contrast with wide eyes and restless hands, represented the other side of the room — intrigue and optimism against the drawn swords of precaution. “Think of it,” they proposed, voice bouncing with a rebellious upbeat timbre, “as the first act of a play written in constellations. We're setting the stage for a galactic narrative.” + +Each team member, in their way, was both actor and scribe in this moment of tense pageantry. Heavy with the presence of risk, the command center had become not just a room of computers and glass panels but a theater for performing the elaborate choreography of contact. + +Bound by resolve and curiosity, they proceeded, each data entry a trembling step onto the cosmic stage. 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zjS3vaRtmY$d?7z!nrWM7W5cPM+bkxt!MriKY>j1?tolUt#cIqducfb-Xq%c_m`T;s zvsTSpZa9mveu^(n5IEA8`TJDv)sMn>1#=Wgpf5zW6O zeYD4NqYbN;am&fyVB08XBVwF z{nTT?#n>cX%lVkPm#Sx*rQGClF*#k8v1z+xkGU0R%w19a#?#A%TEi^_rds!NS-p_U z%sRT&N*q0-wAuc=fN8vpe3Y7Oj?Q**Pb!?k^SdnOXYK3mrVI zM#tj<`}TMabJ}j-g}+oCoR2+Scr2HYfwANYeaXBOYp!c0GnLMK^WNZOxnyLU_L_Rn zHmy$XoV$iqpE4#}c-R9^Zqpel=&d>MyG}9zt!HLCG&80zrp9*ASUf#%8Iyi1mu)(U zXrnmxv9RsgZm+qtlJ2^bSn^vncg`|0ZvF|*X)#CHL_QPB8}57?N8NJ^{W?ikhkiQm z^R(f#YuQEc-e6h&dMW9yJQUt~8ahbmrChXW8?z02$2>f3xZy#gkWV*&-F+y`$S!+B~Pm^-13(s;(Js+JJS{@qWEEda1OH-6qtA9CYt1@`N zwN&@9X=z`*Iy^KaeN3%POCyvipH>4oQc6$(83T8#$a;6#s!uMI@-cQ;%&bcrGbQj3 znU6PqT$lFY2gX<9?HE6)23X)bhWyJk&_(TWN9N`E8U^!JeWA5%I@J+&_FS4}aNKy?AD##HYKv26kIarC2x zMi GraphRagConfig: + """Load Configuration Parameters from a dictionary.""" + values = values or {} + root_dir = root_dir or str(Path.cwd()) + env = _make_env(root_dir) + _token_replace(cast(dict, values)) + InputModelValidator.validate_python(values, strict=True) + + reader = EnvironmentReader(env) + + def hydrate_async_type(input: LLMConfigInput, base: AsyncType) -> AsyncType: + value = input.get(Fragment.async_mode) + return AsyncType(value) if value else base + + def hydrate_llm_params( + config: LLMConfigInput, base: LLMParameters + ) -> LLMParameters: + with reader.use(config.get("llm")): + llm_type = reader.str(Fragment.type) + llm_type = LLMType(llm_type) if llm_type else base.type + api_key = reader.str(Fragment.api_key) or base.api_key + api_base = reader.str(Fragment.api_base) or base.api_base + cognitive_services_endpoint = ( + reader.str(Fragment.cognitive_services_endpoint) + or base.cognitive_services_endpoint + ) + deployment_name = ( + reader.str(Fragment.deployment_name) or base.deployment_name + ) + + if api_key is None and not _is_azure(llm_type): + raise ApiKeyMissingError + if _is_azure(llm_type): + if api_base is None: + raise AzureApiBaseMissingError + if deployment_name is None: + raise AzureDeploymentNameMissingError + + sleep_on_rate_limit = reader.bool(Fragment.sleep_recommendation) + if sleep_on_rate_limit is None: + sleep_on_rate_limit = base.sleep_on_rate_limit_recommendation + + return LLMParameters( + api_key=api_key, + type=llm_type, + api_base=api_base, + api_version=reader.str(Fragment.api_version) or base.api_version, + organization=reader.str("organization") or base.organization, + proxy=reader.str("proxy") or base.proxy, + model=reader.str("model") or base.model, + max_tokens=reader.int(Fragment.max_tokens) or base.max_tokens, + model_supports_json=reader.bool(Fragment.model_supports_json) + or base.model_supports_json, + request_timeout=reader.float(Fragment.request_timeout) + or base.request_timeout, + cognitive_services_endpoint=cognitive_services_endpoint, + deployment_name=deployment_name, + tokens_per_minute=reader.int("tokens_per_minute", Fragment.tpm) + or base.tokens_per_minute, + requests_per_minute=reader.int("requests_per_minute", Fragment.rpm) + or base.requests_per_minute, + max_retries=reader.int(Fragment.max_retries) or base.max_retries, + max_retry_wait=reader.float(Fragment.max_retry_wait) + or base.max_retry_wait, + sleep_on_rate_limit_recommendation=sleep_on_rate_limit, + concurrent_requests=reader.int(Fragment.concurrent_requests) + or base.concurrent_requests, + ) + + def hydrate_embeddings_params( + config: LLMConfigInput, base: LLMParameters + ) -> LLMParameters: + with reader.use(config.get("llm")): + api_key = reader.str(Fragment.api_key) or base.api_key + api_base = reader.str(Fragment.api_base) or base.api_base + api_version = reader.str(Fragment.api_version) or base.api_version + api_organization = reader.str("organization") or base.organization + api_proxy = reader.str("proxy") or base.proxy + api_type = reader.str(Fragment.type) or defs.EMBEDDING_TYPE + api_type = LLMType(api_type) if api_type else defs.LLM_TYPE + cognitive_services_endpoint = ( + reader.str(Fragment.cognitive_services_endpoint) + or base.cognitive_services_endpoint + ) + deployment_name = reader.str(Fragment.deployment_name) + + if api_key is None and not _is_azure(api_type): + raise ApiKeyMissingError(embedding=True) + if _is_azure(api_type): + if api_base is None: + raise AzureApiBaseMissingError(embedding=True) + if deployment_name is None: + raise AzureDeploymentNameMissingError(embedding=True) + + sleep_on_rate_limit = reader.bool(Fragment.sleep_recommendation) + if sleep_on_rate_limit is None: + sleep_on_rate_limit = base.sleep_on_rate_limit_recommendation + + return LLMParameters( + api_key=api_key, + type=api_type, + api_base=api_base, + api_version=api_version, + organization=api_organization, + proxy=api_proxy, + model=reader.str(Fragment.model) or defs.EMBEDDING_MODEL, + request_timeout=reader.float(Fragment.request_timeout) + or defs.LLM_REQUEST_TIMEOUT, + cognitive_services_endpoint=cognitive_services_endpoint, + deployment_name=deployment_name, + tokens_per_minute=reader.int("tokens_per_minute", Fragment.tpm) + or defs.LLM_TOKENS_PER_MINUTE, + requests_per_minute=reader.int("requests_per_minute", Fragment.rpm) + or defs.LLM_REQUESTS_PER_MINUTE, + max_retries=reader.int(Fragment.max_retries) or defs.LLM_MAX_RETRIES, + max_retry_wait=reader.float(Fragment.max_retry_wait) + or defs.LLM_MAX_RETRY_WAIT, + sleep_on_rate_limit_recommendation=sleep_on_rate_limit, + concurrent_requests=reader.int(Fragment.concurrent_requests) + or defs.LLM_CONCURRENT_REQUESTS, + ) + + def hydrate_parallelization_params( + config: LLMConfigInput, base: ParallelizationParameters + ) -> ParallelizationParameters: + with reader.use(config.get("parallelization")): + return ParallelizationParameters( + num_threads=reader.int("num_threads", Fragment.thread_count) + or base.num_threads, + stagger=reader.float("stagger", Fragment.thread_stagger) + or base.stagger, + ) + + fallback_oai_key = env("OPENAI_API_KEY", env("AZURE_OPENAI_API_KEY", None)) + fallback_oai_org = env("OPENAI_ORG_ID", None) + fallback_oai_base = env("OPENAI_BASE_URL", None) + fallback_oai_version = env("OPENAI_API_VERSION", None) + + with reader.envvar_prefix(Section.graphrag), reader.use(values): + async_mode = reader.str(Fragment.async_mode) + async_mode = AsyncType(async_mode) if async_mode else defs.ASYNC_MODE + + fallback_oai_key = reader.str(Fragment.api_key) or fallback_oai_key + fallback_oai_org = reader.str(Fragment.api_organization) or fallback_oai_org + fallback_oai_base = reader.str(Fragment.api_base) or fallback_oai_base + fallback_oai_version = reader.str(Fragment.api_version) or fallback_oai_version + fallback_oai_proxy = reader.str(Fragment.api_proxy) + + with reader.envvar_prefix(Section.llm): + with reader.use(values.get("llm")): + llm_type = reader.str(Fragment.type) + llm_type = LLMType(llm_type) if llm_type else defs.LLM_TYPE + api_key = reader.str(Fragment.api_key) or fallback_oai_key + api_organization = ( + reader.str(Fragment.api_organization) or fallback_oai_org + ) + api_base = reader.str(Fragment.api_base) or fallback_oai_base + api_version = reader.str(Fragment.api_version) or fallback_oai_version + api_proxy = reader.str(Fragment.api_proxy) or fallback_oai_proxy + cognitive_services_endpoint = reader.str( + Fragment.cognitive_services_endpoint + ) + deployment_name = reader.str(Fragment.deployment_name) + + if api_key is None and not _is_azure(llm_type): + raise ApiKeyMissingError + if _is_azure(llm_type): + if api_base is None: + raise AzureApiBaseMissingError + if deployment_name is None: + raise AzureDeploymentNameMissingError + + sleep_on_rate_limit = reader.bool(Fragment.sleep_recommendation) + if sleep_on_rate_limit is None: + sleep_on_rate_limit = defs.LLM_SLEEP_ON_RATE_LIMIT_RECOMMENDATION + + llm_model = LLMParameters( + api_key=api_key, + api_base=api_base, + api_version=api_version, + organization=api_organization, + proxy=api_proxy, + type=llm_type, + model=reader.str(Fragment.model) or defs.LLM_MODEL, + max_tokens=reader.int(Fragment.max_tokens) or defs.LLM_MAX_TOKENS, + model_supports_json=reader.bool(Fragment.model_supports_json), + request_timeout=reader.float(Fragment.request_timeout) + or defs.LLM_REQUEST_TIMEOUT, + cognitive_services_endpoint=cognitive_services_endpoint, + deployment_name=deployment_name, + tokens_per_minute=reader.int(Fragment.tpm) + or defs.LLM_TOKENS_PER_MINUTE, + requests_per_minute=reader.int(Fragment.rpm) + or defs.LLM_REQUESTS_PER_MINUTE, + max_retries=reader.int(Fragment.max_retries) + or defs.LLM_MAX_RETRIES, + max_retry_wait=reader.float(Fragment.max_retry_wait) + or defs.LLM_MAX_RETRY_WAIT, + sleep_on_rate_limit_recommendation=sleep_on_rate_limit, + concurrent_requests=reader.int(Fragment.concurrent_requests) + or defs.LLM_CONCURRENT_REQUESTS, + ) + with reader.use(values.get("parallelization")): + llm_parallelization_model = ParallelizationParameters( + stagger=reader.float("stagger", Fragment.thread_stagger) + or defs.PARALLELIZATION_STAGGER, + num_threads=reader.int("num_threads", Fragment.thread_count) + or defs.PARALLELIZATION_NUM_THREADS, + ) + embeddings_config = values.get("embeddings") or {} + with reader.envvar_prefix(Section.embedding), reader.use(embeddings_config): + embeddings_target = reader.str("target") + embeddings_model = TextEmbeddingConfig( + llm=hydrate_embeddings_params(embeddings_config, llm_model), + parallelization=hydrate_parallelization_params( + embeddings_config, llm_parallelization_model + ), + vector_store=embeddings_config.get("vector_store", None), + async_mode=hydrate_async_type(embeddings_config, async_mode), + target=( + TextEmbeddingTarget(embeddings_target) + if embeddings_target + else defs.EMBEDDING_TARGET + ), + batch_size=reader.int("batch_size") or defs.EMBEDDING_BATCH_SIZE, + batch_max_tokens=reader.int("batch_max_tokens") + or defs.EMBEDDING_BATCH_MAX_TOKENS, + skip=reader.list("skip") or [], + ) + with ( + reader.envvar_prefix(Section.node2vec), + reader.use(values.get("embed_graph")), + ): + embed_graph_model = EmbedGraphConfig( + enabled=reader.bool(Fragment.enabled) or defs.NODE2VEC_ENABLED, + num_walks=reader.int("num_walks") or defs.NODE2VEC_NUM_WALKS, + walk_length=reader.int("walk_length") or defs.NODE2VEC_WALK_LENGTH, + window_size=reader.int("window_size") or defs.NODE2VEC_WINDOW_SIZE, + iterations=reader.int("iterations") or defs.NODE2VEC_ITERATIONS, + random_seed=reader.int("random_seed") or defs.NODE2VEC_RANDOM_SEED, + ) + with reader.envvar_prefix(Section.input), reader.use(values.get("input")): + input_type = reader.str("type") + file_type = reader.str(Fragment.file_type) + input_model = InputConfig( + file_type=( + InputFileType(file_type) if file_type else defs.INPUT_FILE_TYPE + ), + type=(InputType(input_type) if input_type else defs.INPUT_TYPE), + encoding=reader.str("file_encoding", Fragment.encoding) + or defs.INPUT_FILE_ENCODING, + base_dir=reader.str(Fragment.base_dir) or defs.INPUT_BASE_DIR, + file_pattern=reader.str("file_pattern") + or ( + defs.INPUT_TEXT_PATTERN + if file_type == InputFileType.text + else defs.INPUT_CSV_PATTERN + ), + source_column=reader.str("source_column"), + timestamp_column=reader.str("timestamp_column"), + timestamp_format=reader.str("timestamp_format"), + text_column=reader.str("text_column") or defs.INPUT_TEXT_COLUMN, + title_column=reader.str("title_column"), + document_attribute_columns=reader.list("document_attribute_columns") + or [], + connection_string=reader.str(Fragment.conn_string), + storage_account_blob_url=reader.str(Fragment.storage_account_blob_url), + container_name=reader.str(Fragment.container_name), + ) + with reader.envvar_prefix(Section.cache), reader.use(values.get("cache")): + c_type = reader.str(Fragment.type) + cache_model = CacheConfig( + type=CacheType(c_type) if c_type else defs.CACHE_TYPE, + connection_string=reader.str(Fragment.conn_string), + storage_account_blob_url=reader.str(Fragment.storage_account_blob_url), + container_name=reader.str(Fragment.container_name), + base_dir=reader.str(Fragment.base_dir) or defs.CACHE_BASE_DIR, + ) + with ( + reader.envvar_prefix(Section.reporting), + reader.use(values.get("reporting")), + ): + r_type = reader.str(Fragment.type) + reporting_model = ReportingConfig( + type=ReportingType(r_type) if r_type else defs.REPORTING_TYPE, + connection_string=reader.str(Fragment.conn_string), + storage_account_blob_url=reader.str(Fragment.storage_account_blob_url), + container_name=reader.str(Fragment.container_name), + base_dir=reader.str(Fragment.base_dir) or defs.REPORTING_BASE_DIR, + ) + with reader.envvar_prefix(Section.storage), reader.use(values.get("storage")): + s_type = reader.str(Fragment.type) + storage_model = StorageConfig( + type=StorageType(s_type) if s_type else defs.STORAGE_TYPE, + connection_string=reader.str(Fragment.conn_string), + storage_account_blob_url=reader.str(Fragment.storage_account_blob_url), + container_name=reader.str(Fragment.container_name), + base_dir=reader.str(Fragment.base_dir) or defs.STORAGE_BASE_DIR, + ) + with reader.envvar_prefix(Section.chunk), reader.use(values.get("chunks")): + chunks_model = ChunkingConfig( + size=reader.int("size") or defs.CHUNK_SIZE, + overlap=reader.int("overlap") or defs.CHUNK_OVERLAP, + group_by_columns=reader.list("group_by_columns", "BY_COLUMNS") + or defs.CHUNK_GROUP_BY_COLUMNS, + ) + with ( + reader.envvar_prefix(Section.snapshot), + reader.use(values.get("snapshots")), + ): + snapshots_model = SnapshotsConfig( + graphml=reader.bool("graphml") or defs.SNAPSHOTS_GRAPHML, + raw_entities=reader.bool("raw_entities") or defs.SNAPSHOTS_RAW_ENTITIES, + top_level_nodes=reader.bool("top_level_nodes") + or defs.SNAPSHOTS_TOP_LEVEL_NODES, + ) + with reader.envvar_prefix(Section.umap), reader.use(values.get("umap")): + umap_model = UmapConfig( + enabled=reader.bool(Fragment.enabled) or defs.UMAP_ENABLED, + ) + + entity_extraction_config = values.get("entity_extraction") or {} + with ( + reader.envvar_prefix(Section.entity_extraction), + reader.use(entity_extraction_config), + ): + entity_extraction_model = EntityExtractionConfig( + llm=hydrate_llm_params(entity_extraction_config, llm_model), + parallelization=hydrate_parallelization_params( + entity_extraction_config, llm_parallelization_model + ), + async_mode=hydrate_async_type(entity_extraction_config, async_mode), + entity_types=reader.list("entity_types") + or defs.ENTITY_EXTRACTION_ENTITY_TYPES, + max_gleanings=reader.int(Fragment.max_gleanings) + or defs.ENTITY_EXTRACTION_MAX_GLEANINGS, + prompt=reader.str("prompt", Fragment.prompt_file), + ) + + claim_extraction_config = values.get("claim_extraction") or {} + with ( + reader.envvar_prefix(Section.claim_extraction), + reader.use(claim_extraction_config), + ): + claim_extraction_model = ClaimExtractionConfig( + enabled=reader.bool(Fragment.enabled) or defs.CLAIM_EXTRACTION_ENABLED, + llm=hydrate_llm_params(claim_extraction_config, llm_model), + parallelization=hydrate_parallelization_params( + claim_extraction_config, llm_parallelization_model + ), + async_mode=hydrate_async_type(claim_extraction_config, async_mode), + description=reader.str("description") or defs.CLAIM_DESCRIPTION, + prompt=reader.str("prompt", Fragment.prompt_file), + max_gleanings=reader.int(Fragment.max_gleanings) + or defs.CLAIM_MAX_GLEANINGS, + ) + + community_report_config = values.get("community_reports") or {} + with ( + reader.envvar_prefix(Section.community_report), + reader.use(community_report_config), + ): + community_reports_model = CommunityReportsConfig( + llm=hydrate_llm_params(community_report_config, llm_model), + parallelization=hydrate_parallelization_params( + community_report_config, llm_parallelization_model + ), + async_mode=hydrate_async_type(community_report_config, async_mode), + prompt=reader.str("prompt", Fragment.prompt_file), + max_length=reader.int(Fragment.max_length) + or defs.COMMUNITY_REPORT_MAX_LENGTH, + max_input_length=reader.int("max_input_length") + or defs.COMMUNITY_REPORT_MAX_INPUT_LENGTH, + ) + + summarize_description_config = values.get("summarize_descriptions") or {} + with ( + reader.envvar_prefix(Section.summarize_descriptions), + reader.use(values.get("summarize_descriptions")), + ): + summarize_descriptions_model = SummarizeDescriptionsConfig( + llm=hydrate_llm_params(summarize_description_config, llm_model), + parallelization=hydrate_parallelization_params( + summarize_description_config, llm_parallelization_model + ), + async_mode=hydrate_async_type(summarize_description_config, async_mode), + prompt=reader.str("prompt", Fragment.prompt_file), + max_length=reader.int(Fragment.max_length) + or defs.SUMMARIZE_DESCRIPTIONS_MAX_LENGTH, + ) + + with reader.use(values.get("cluster_graph")): + cluster_graph_model = ClusterGraphConfig( + max_cluster_size=reader.int("max_cluster_size") or defs.MAX_CLUSTER_SIZE + ) + + with ( + reader.use(values.get("local_search")), + reader.envvar_prefix(Section.local_search), + ): + local_search_model = LocalSearchConfig( + text_unit_prop=reader.float("text_unit_prop") + or defs.LOCAL_SEARCH_TEXT_UNIT_PROP, + community_prop=reader.float("community_prop") + or defs.LOCAL_SEARCH_COMMUNITY_PROP, + conversation_history_max_turns=reader.int( + "conversation_history_max_turns" + ) + or defs.LOCAL_SEARCH_CONVERSATION_HISTORY_MAX_TURNS, + top_k_entities=reader.int("top_k_entities") + or defs.LOCAL_SEARCH_TOP_K_MAPPED_ENTITIES, + top_k_relationships=reader.int("top_k_relationships") + or defs.LOCAL_SEARCH_TOP_K_RELATIONSHIPS, + max_tokens=reader.int(Fragment.max_tokens) + or defs.LOCAL_SEARCH_MAX_TOKENS, + llm_max_tokens=reader.int("llm_max_tokens") + or defs.LOCAL_SEARCH_LLM_MAX_TOKENS, + ) + + with ( + reader.use(values.get("global_search")), + reader.envvar_prefix(Section.global_search), + ): + global_search_model = GlobalSearchConfig( + max_tokens=reader.int(Fragment.max_tokens) + or defs.GLOBAL_SEARCH_MAX_TOKENS, + data_max_tokens=reader.int("data_max_tokens") + or defs.GLOBAL_SEARCH_DATA_MAX_TOKENS, + map_max_tokens=reader.int("map_max_tokens") + or defs.GLOBAL_SEARCH_MAP_MAX_TOKENS, + reduce_max_tokens=reader.int("reduce_max_tokens") + or defs.GLOBAL_SEARCH_REDUCE_MAX_TOKENS, + concurrency=reader.int("concurrency") or defs.GLOBAL_SEARCH_CONCURRENCY, + ) + + encoding_model = reader.str(Fragment.encoding_model) or defs.ENCODING_MODEL + skip_workflows = reader.list("skip_workflows") or [] + + return GraphRagConfig( + root_dir=root_dir, + llm=llm_model, + parallelization=llm_parallelization_model, + async_mode=async_mode, + embeddings=embeddings_model, + embed_graph=embed_graph_model, + reporting=reporting_model, + storage=storage_model, + cache=cache_model, + input=input_model, + chunks=chunks_model, + snapshots=snapshots_model, + entity_extraction=entity_extraction_model, + claim_extraction=claim_extraction_model, + community_reports=community_reports_model, + summarize_descriptions=summarize_descriptions_model, + umap=umap_model, + cluster_graph=cluster_graph_model, + encoding_model=encoding_model, + skip_workflows=skip_workflows, + local_search=local_search_model, + global_search=global_search_model, + ) + + +class Fragment(str, Enum): + """Configuration Fragments.""" + + api_base = "API_BASE" + api_key = "API_KEY" + api_version = "API_VERSION" + api_organization = "API_ORGANIZATION" + api_proxy = "API_PROXY" + async_mode = "ASYNC_MODE" + base_dir = "BASE_DIR" + cognitive_services_endpoint = "COGNITIVE_SERVICES_ENDPOINT" + concurrent_requests = "CONCURRENT_REQUESTS" + conn_string = "CONNECTION_STRING" + container_name = "CONTAINER_NAME" + deployment_name = "DEPLOYMENT_NAME" + description = "DESCRIPTION" + enabled = "ENABLED" + encoding = "ENCODING" + encoding_model = "ENCODING_MODEL" + file_type = "FILE_TYPE" + max_gleanings = "MAX_GLEANINGS" + max_length = "MAX_LENGTH" + max_retries = "MAX_RETRIES" + max_retry_wait = "MAX_RETRY_WAIT" + max_tokens = "MAX_TOKENS" + model = "MODEL" + model_supports_json = "MODEL_SUPPORTS_JSON" + prompt_file = "PROMPT_FILE" + request_timeout = "REQUEST_TIMEOUT" + rpm = "RPM" + sleep_recommendation = "SLEEP_ON_RATE_LIMIT_RECOMMENDATION" + storage_account_blob_url = "STORAGE_ACCOUNT_BLOB_URL" + thread_count = "THREAD_COUNT" + thread_stagger = "THREAD_STAGGER" + tpm = "TPM" + type = "TYPE" + + +class Section(str, Enum): + """Configuration Sections.""" + + base = "BASE" + cache = "CACHE" + chunk = "CHUNK" + claim_extraction = "CLAIM_EXTRACTION" + community_report = "COMMUNITY_REPORT" + embedding = "EMBEDDING" + entity_extraction = "ENTITY_EXTRACTION" + graphrag = "GRAPHRAG" + input = "INPUT" + llm = "LLM" + node2vec = "NODE2VEC" + reporting = "REPORTING" + snapshot = "SNAPSHOT" + storage = "STORAGE" + summarize_descriptions = "SUMMARIZE_DESCRIPTIONS" + umap = "UMAP" + local_search = "LOCAL_SEARCH" + global_search = "GLOBAL_SEARCH" + + +def _is_azure(llm_type: LLMType | None) -> bool: + return ( + llm_type == LLMType.AzureOpenAI + or llm_type == LLMType.AzureOpenAIChat + or llm_type == LLMType.AzureOpenAIEmbedding + ) + + +def _make_env(root_dir: str) -> Env: + read_dotenv(root_dir) + env = Env(expand_vars=True) + env.read_env() + return env + + +def _token_replace(data: dict): + """Replace env-var tokens in a dictionary object.""" + for key, value in data.items(): + if isinstance(value, dict): + _token_replace(value) + elif isinstance(value, str): + data[key] = os.path.expandvars(value) diff --git a/graphrag/config/defaults.py b/graphrag/config/defaults.py new file mode 100644 index 00000000..1c2dffe4 --- /dev/null +++ b/graphrag/config/defaults.py @@ -0,0 +1,97 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Common default configuration values.""" + +from datashaper import AsyncType + +from .enums import ( + CacheType, + InputFileType, + InputType, + LLMType, + ReportingType, + StorageType, + TextEmbeddingTarget, +) + +ASYNC_MODE = AsyncType.Threaded +ENCODING_MODEL = "cl100k_base" +# +# LLM Parameters +# +LLM_TYPE = LLMType.OpenAIChat +LLM_MODEL = "gpt-4-turbo-preview" +LLM_MAX_TOKENS = 4000 +LLM_REQUEST_TIMEOUT = 180.0 +LLM_TOKENS_PER_MINUTE = 0 +LLM_REQUESTS_PER_MINUTE = 0 +LLM_MAX_RETRIES = 10 +LLM_MAX_RETRY_WAIT = 10.0 +LLM_SLEEP_ON_RATE_LIMIT_RECOMMENDATION = True +LLM_CONCURRENT_REQUESTS = 25 + +# +# Text Embedding Parameters +# +EMBEDDING_TYPE = LLMType.OpenAIEmbedding +EMBEDDING_MODEL = "text-embedding-3-small" +EMBEDDING_BATCH_SIZE = 16 +EMBEDDING_BATCH_MAX_TOKENS = 8191 +EMBEDDING_TARGET = TextEmbeddingTarget.required + +CACHE_TYPE = CacheType.file +CACHE_BASE_DIR = "cache" +CHUNK_SIZE = 300 +CHUNK_OVERLAP = 100 +CHUNK_GROUP_BY_COLUMNS = ["id"] +CLAIM_DESCRIPTION = ( + "Any claims or facts that could be relevant to information discovery." +) +CLAIM_MAX_GLEANINGS = 0 +CLAIM_EXTRACTION_ENABLED = False +MAX_CLUSTER_SIZE = 10 +COMMUNITY_REPORT_MAX_LENGTH = 2000 +COMMUNITY_REPORT_MAX_INPUT_LENGTH = 8000 +ENTITY_EXTRACTION_ENTITY_TYPES = ["organization", "person", "geo", "event"] +ENTITY_EXTRACTION_MAX_GLEANINGS = 0 +INPUT_FILE_TYPE = InputFileType.text +INPUT_TYPE = InputType.file +INPUT_BASE_DIR = "input" +INPUT_FILE_ENCODING = "utf-8" +INPUT_TEXT_COLUMN = "text" +INPUT_CSV_PATTERN = ".*\\.csv$" +INPUT_TEXT_PATTERN = ".*\\.txt$" +PARALLELIZATION_STAGGER = 0.3 +PARALLELIZATION_NUM_THREADS = 50 +NODE2VEC_ENABLED = False +NODE2VEC_NUM_WALKS = 10 +NODE2VEC_WALK_LENGTH = 40 +NODE2VEC_WINDOW_SIZE = 2 +NODE2VEC_ITERATIONS = 3 +NODE2VEC_RANDOM_SEED = 597832 +REPORTING_TYPE = ReportingType.file +REPORTING_BASE_DIR = "output/${timestamp}/reports" +SNAPSHOTS_GRAPHML = False +SNAPSHOTS_RAW_ENTITIES = False +SNAPSHOTS_TOP_LEVEL_NODES = False +STORAGE_BASE_DIR = "output/${timestamp}/artifacts" +STORAGE_TYPE = StorageType.file +SUMMARIZE_DESCRIPTIONS_MAX_LENGTH = 500 +UMAP_ENABLED = False + +# Local Search +LOCAL_SEARCH_TEXT_UNIT_PROP = 0.5 +LOCAL_SEARCH_COMMUNITY_PROP = 0.1 +LOCAL_SEARCH_CONVERSATION_HISTORY_MAX_TURNS = 5 +LOCAL_SEARCH_TOP_K_MAPPED_ENTITIES = 10 +LOCAL_SEARCH_TOP_K_RELATIONSHIPS = 10 +LOCAL_SEARCH_MAX_TOKENS = 12_000 +LOCAL_SEARCH_LLM_MAX_TOKENS = 2000 + +# Global Search +GLOBAL_SEARCH_MAX_TOKENS = 12_000 +GLOBAL_SEARCH_DATA_MAX_TOKENS = 12_000 +GLOBAL_SEARCH_MAP_MAX_TOKENS = 1000 +GLOBAL_SEARCH_REDUCE_MAX_TOKENS = 2_000 +GLOBAL_SEARCH_CONCURRENCY = 32 diff --git a/graphrag/config/enums.py b/graphrag/config/enums.py new file mode 100644 index 00000000..8741cf74 --- /dev/null +++ b/graphrag/config/enums.py @@ -0,0 +1,115 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing 'PipelineCacheConfig', 'PipelineFileCacheConfig' and 'PipelineMemoryCacheConfig' models.""" + +from __future__ import annotations + +from enum import Enum + + +class CacheType(str, Enum): + """The cache configuration type for the pipeline.""" + + file = "file" + """The file cache configuration type.""" + memory = "memory" + """The memory cache configuration type.""" + none = "none" + """The none cache configuration type.""" + blob = "blob" + """The blob cache configuration type.""" + + def __repr__(self): + """Get a string representation.""" + return f'"{self.value}"' + + +class InputFileType(str, Enum): + """The input file type for the pipeline.""" + + csv = "csv" + """The CSV input type.""" + text = "text" + """The text input type.""" + + def __repr__(self): + """Get a string representation.""" + return f'"{self.value}"' + + +class InputType(str, Enum): + """The input type for the pipeline.""" + + file = "file" + """The file storage type.""" + blob = "blob" + """The blob storage type.""" + + def __repr__(self): + """Get a string representation.""" + return f'"{self.value}"' + + +class StorageType(str, Enum): + """The storage type for the pipeline.""" + + file = "file" + """The file storage type.""" + memory = "memory" + """The memory storage type.""" + blob = "blob" + """The blob storage type.""" + + def __repr__(self): + """Get a string representation.""" + return f'"{self.value}"' + + +class ReportingType(str, Enum): + """The reporting configuration type for the pipeline.""" + + file = "file" + """The file reporting configuration type.""" + console = "console" + """The console reporting configuration type.""" + blob = "blob" + """The blob reporting configuration type.""" + + def __repr__(self): + """Get a string representation.""" + return f'"{self.value}"' + + +class TextEmbeddingTarget(str, Enum): + """The target to use for text embeddings.""" + + all = "all" + required = "required" + + def __repr__(self): + """Get a string representation.""" + return f'"{self.value}"' + + +class LLMType(str, Enum): + """LLMType enum class definition.""" + + # Embeddings + OpenAIEmbedding = "openai_embedding" + AzureOpenAIEmbedding = "azure_openai_embedding" + + # Raw Completion + OpenAI = "openai" + AzureOpenAI = "azure_openai" + + # Chat Completion + OpenAIChat = "openai_chat" + AzureOpenAIChat = "azure_openai_chat" + + # Debug + StaticResponse = "static_response" + + def __repr__(self): + """Get a string representation.""" + return f'"{self.value}"' diff --git a/graphrag/config/environment_reader.py b/graphrag/config/environment_reader.py new file mode 100644 index 00000000..dc61301f --- /dev/null +++ b/graphrag/config/environment_reader.py @@ -0,0 +1,154 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A configuration reader utility class.""" + +from collections.abc import Callable +from contextlib import contextmanager +from enum import Enum +from typing import Any, TypeVar + +from environs import Env + +T = TypeVar("T") + +KeyValue = str | Enum +EnvKeySet = str | list[str] + + +def read_key(value: KeyValue) -> str: + """Read a key value.""" + if not isinstance(value, str): + return value.value.lower() + return value.lower() + + +class EnvironmentReader: + """A configuration reader utility class.""" + + _env: Env + _config_stack: list[dict] + + def __init__(self, env: Env): + self._env = env + self._config_stack = [] + + @property + def env(self): + """Get the environment object.""" + return self._env + + def _read_env( + self, env_key: str | list[str], default_value: T, read: Callable[[str, T], T] + ) -> T | None: + if isinstance(env_key, str): + env_key = [env_key] + + for k in env_key: + result = read(k.upper(), default_value) + if result is not default_value: + return result + + return default_value + + def envvar_prefix(self, prefix: KeyValue): + """Set the environment variable prefix.""" + prefix = read_key(prefix) + prefix = f"{prefix}_".upper() + return self._env.prefixed(prefix) + + def use(self, value: Any | None): + """Create a context manager to push the value into the config_stack.""" + + @contextmanager + def config_context(): + self._config_stack.append(value or {}) + try: + yield + finally: + self._config_stack.pop() + + return config_context() + + @property + def section(self) -> dict: + """Get the current section.""" + return self._config_stack[-1] if self._config_stack else {} + + def str( + self, + key: KeyValue, + env_key: EnvKeySet | None = None, + default_value: str | None = None, + ) -> str | None: + """Read a configuration value.""" + key = read_key(key) + if self.section and key in self.section: + return self.section[key] + + return self._read_env( + env_key or key, default_value, (lambda k, dv: self._env(k, dv)) + ) + + def int( + self, + key: KeyValue, + env_key: EnvKeySet | None = None, + default_value: int | None = None, + ) -> int | None: + """Read an integer configuration value.""" + key = read_key(key) + if self.section and key in self.section: + return int(self.section[key]) + return self._read_env( + env_key or key, default_value, lambda k, dv: self._env.int(k, dv) + ) + + def bool( + self, + key: KeyValue, + env_key: EnvKeySet | None = None, + default_value: bool | None = None, + ) -> bool | None: + """Read an integer configuration value.""" + key = read_key(key) + if self.section and key in self.section: + return bool(self.section[key]) + + return self._read_env( + env_key or key, default_value, lambda k, dv: self._env.bool(k, dv) + ) + + def float( + self, + key: KeyValue, + env_key: EnvKeySet | None = None, + default_value: float | None = None, + ) -> float | None: + """Read a float configuration value.""" + key = read_key(key) + if self.section and key in self.section: + return float(self.section[key]) + return self._read_env( + env_key or key, default_value, lambda k, dv: self._env.float(k, dv) + ) + + def list( + self, + key: KeyValue, + env_key: EnvKeySet | None = None, + default_value: list | None = None, + ) -> list | None: + """Parse an list configuration value.""" + key = read_key(key) + result = None + if self.section and key in self.section: + result = self.section[key] + if isinstance(result, list): + return result + + if result is None: + result = self.str(key, env_key) + if result: + return [s.strip() for s in result.split(",")] + return default_value diff --git a/graphrag/config/errors.py b/graphrag/config/errors.py new file mode 100644 index 00000000..9a2161b8 --- /dev/null +++ b/graphrag/config/errors.py @@ -0,0 +1,40 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +"""Errors for the default configuration.""" + + +class ApiKeyMissingError(ValueError): + """LLM Key missing error.""" + + def __init__(self, embedding: bool = False) -> None: + """Init method definition.""" + api_type = "Embedding" if embedding else "Completion" + api_key = "GRAPHRAG_EMBEDDING_API_KEY" if embedding else "GRAPHRAG_LLM_API_KEY" + msg = f"API Key is required for {api_type} API. Please set either the OPENAI_API_KEY, GRAPHRAG_API_KEY or {api_key} environment variable." + super().__init__(msg) + + +class AzureApiBaseMissingError(ValueError): + """Azure API Base missing error.""" + + def __init__(self, embedding: bool = False) -> None: + """Init method definition.""" + api_type = "Embedding" if embedding else "Completion" + api_base = "GRAPHRAG_EMBEDDING_API_BASE" if embedding else "GRAPHRAG_API_BASE" + msg = f"API Base is required for {api_type} API. Please set either the OPENAI_API_BASE, GRAPHRAG_API_BASE or {api_base} environment variable." + super().__init__(msg) + + +class AzureDeploymentNameMissingError(ValueError): + """Azure Deployment Name missing error.""" + + def __init__(self, embedding: bool = False) -> None: + """Init method definition.""" + api_type = "Embedding" if embedding else "Completion" + api_base = ( + "GRAPHRAG_EMBEDDING_DEPLOYMENT_NAME" + if embedding + else "GRAPHRAG_LLM_DEPLOYMENT_NAME" + ) + msg = f"Deployment Name is required for {api_type} API. Please set either the OPENAI_DEPLOYMENT_NAME, GRAPHRAG_LLM_DEPLOYMENT_NAME or {api_base} environment variable." + super().__init__(msg) diff --git a/graphrag/config/input_models/__init__.py b/graphrag/config/input_models/__init__.py new file mode 100644 index 00000000..f905ae38 --- /dev/null +++ b/graphrag/config/input_models/__init__.py @@ -0,0 +1,50 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Interfaces for Default Config parameterization.""" + +from .cache_config_input import CacheConfigInput +from .chunking_config_input import ChunkingConfigInput +from .claim_extraction_config_input import ClaimExtractionConfigInput +from .cluster_graph_config_input import ClusterGraphConfigInput +from .community_reports_config_input import CommunityReportsConfigInput +from .embed_graph_config_input import EmbedGraphConfigInput +from .entity_extraction_config_input import EntityExtractionConfigInput +from .global_search_config_input import GlobalSearchConfigInput +from .graphrag_config_input import GraphRagConfigInput +from .input_config_input import InputConfigInput +from .llm_config_input import LLMConfigInput +from .llm_parameters_input import LLMParametersInput +from .local_search_config_input import LocalSearchConfigInput +from .parallelization_parameters_input import ParallelizationParametersInput +from .reporting_config_input import ReportingConfigInput +from .snapshots_config_input import SnapshotsConfigInput +from .storage_config_input import StorageConfigInput +from .summarize_descriptions_config_input import ( + SummarizeDescriptionsConfigInput, +) +from .text_embedding_config_input import TextEmbeddingConfigInput +from .umap_config_input import UmapConfigInput + +__all__ = [ + "CacheConfigInput", + "ChunkingConfigInput", + "ClaimExtractionConfigInput", + "ClusterGraphConfigInput", + "CommunityReportsConfigInput", + "EmbedGraphConfigInput", + "EntityExtractionConfigInput", + "GlobalSearchConfigInput", + "GraphRagConfigInput", + "InputConfigInput", + "LLMConfigInput", + "LLMParametersInput", + "LocalSearchConfigInput", + "ParallelizationParametersInput", + "ReportingConfigInput", + "SnapshotsConfigInput", + "StorageConfigInput", + "SummarizeDescriptionsConfigInput", + "TextEmbeddingConfigInput", + "UmapConfigInput", +] diff --git a/graphrag/config/input_models/cache_config_input.py b/graphrag/config/input_models/cache_config_input.py new file mode 100644 index 00000000..fe88d35b --- /dev/null +++ b/graphrag/config/input_models/cache_config_input.py @@ -0,0 +1,18 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Parameterization settings for the default configuration.""" + +from typing_extensions import NotRequired, TypedDict + +from graphrag.config.enums import CacheType + + +class CacheConfigInput(TypedDict): + """The default configuration section for Cache.""" + + type: NotRequired[CacheType | str | None] + base_dir: NotRequired[str | None] + connection_string: NotRequired[str | None] + container_name: NotRequired[str | None] + storage_account_blob_url: NotRequired[str | None] diff --git a/graphrag/config/input_models/chunking_config_input.py b/graphrag/config/input_models/chunking_config_input.py new file mode 100644 index 00000000..bbf4fc73 --- /dev/null +++ b/graphrag/config/input_models/chunking_config_input.py @@ -0,0 +1,15 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Parameterization settings for the default configuration.""" + +from typing_extensions import NotRequired, TypedDict + + +class ChunkingConfigInput(TypedDict): + """Configuration section for chunking.""" + + size: NotRequired[int | str | None] + overlap: NotRequired[int | str | None] + group_by_columns: NotRequired[list[str] | str | None] + strategy: NotRequired[dict | None] diff --git a/graphrag/config/input_models/claim_extraction_config_input.py b/graphrag/config/input_models/claim_extraction_config_input.py new file mode 100644 index 00000000..4827435c --- /dev/null +++ b/graphrag/config/input_models/claim_extraction_config_input.py @@ -0,0 +1,18 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Parameterization settings for the default configuration.""" + +from typing_extensions import NotRequired + +from .llm_config_input import LLMConfigInput + + +class ClaimExtractionConfigInput(LLMConfigInput): + """Configuration section for claim extraction.""" + + enabled: NotRequired[bool | None] + prompt: NotRequired[str | None] + description: NotRequired[str | None] + max_gleanings: NotRequired[int | str | None] + strategy: NotRequired[dict | None] diff --git a/graphrag/config/input_models/cluster_graph_config_input.py b/graphrag/config/input_models/cluster_graph_config_input.py new file mode 100644 index 00000000..eb6f9cd1 --- /dev/null +++ b/graphrag/config/input_models/cluster_graph_config_input.py @@ -0,0 +1,13 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Parameterization settings for the default configuration.""" + +from typing_extensions import NotRequired, TypedDict + + +class ClusterGraphConfigInput(TypedDict): + """Configuration section for clustering graphs.""" + + max_cluster_size: NotRequired[int | None] + strategy: NotRequired[dict | None] diff --git a/graphrag/config/input_models/community_reports_config_input.py b/graphrag/config/input_models/community_reports_config_input.py new file mode 100644 index 00000000..79ae3152 --- /dev/null +++ b/graphrag/config/input_models/community_reports_config_input.py @@ -0,0 +1,17 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Parameterization settings for the default configuration.""" + +from typing_extensions import NotRequired + +from .llm_config_input import LLMConfigInput + + +class CommunityReportsConfigInput(LLMConfigInput): + """Configuration section for community reports.""" + + prompt: NotRequired[str | None] + max_length: NotRequired[int | str | None] + max_input_length: NotRequired[int | str | None] + strategy: NotRequired[dict | None] diff --git a/graphrag/config/input_models/embed_graph_config_input.py b/graphrag/config/input_models/embed_graph_config_input.py new file mode 100644 index 00000000..f8b6ee6f --- /dev/null +++ b/graphrag/config/input_models/embed_graph_config_input.py @@ -0,0 +1,18 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Parameterization settings for the default configuration.""" + +from typing_extensions import NotRequired, TypedDict + + +class EmbedGraphConfigInput(TypedDict): + """The default configuration section for Node2Vec.""" + + enabled: NotRequired[bool | str | None] + num_walks: NotRequired[int | str | None] + walk_length: NotRequired[int | str | None] + window_size: NotRequired[int | str | None] + iterations: NotRequired[int | str | None] + random_seed: NotRequired[int | str | None] + strategy: NotRequired[dict | None] diff --git a/graphrag/config/input_models/entity_extraction_config_input.py b/graphrag/config/input_models/entity_extraction_config_input.py new file mode 100644 index 00000000..a03cbfee --- /dev/null +++ b/graphrag/config/input_models/entity_extraction_config_input.py @@ -0,0 +1,17 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Parameterization settings for the default configuration.""" + +from typing_extensions import NotRequired + +from .llm_config_input import LLMConfigInput + + +class EntityExtractionConfigInput(LLMConfigInput): + """Configuration section for entity extraction.""" + + prompt: NotRequired[str | None] + entity_types: NotRequired[list[str] | str | None] + max_gleanings: NotRequired[int | str | None] + strategy: NotRequired[dict | None] diff --git a/graphrag/config/input_models/global_search_config_input.py b/graphrag/config/input_models/global_search_config_input.py new file mode 100644 index 00000000..e13fbbfa --- /dev/null +++ b/graphrag/config/input_models/global_search_config_input.py @@ -0,0 +1,16 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Parameterization settings for the default configuration.""" + +from typing_extensions import NotRequired, TypedDict + + +class GlobalSearchConfigInput(TypedDict): + """The default configuration section for Cache.""" + + max_tokens: NotRequired[int | str | None] + data_max_tokens: NotRequired[int | str | None] + map_max_tokens: NotRequired[int | str | None] + reduce_max_tokens: NotRequired[int | str | None] + concurrency: NotRequired[int | str | None] diff --git a/graphrag/config/input_models/graphrag_config_input.py b/graphrag/config/input_models/graphrag_config_input.py new file mode 100644 index 00000000..7c04dea2 --- /dev/null +++ b/graphrag/config/input_models/graphrag_config_input.py @@ -0,0 +1,49 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Parameterization settings for the default configuration.""" + +from typing_extensions import NotRequired + +from .cache_config_input import CacheConfigInput +from .chunking_config_input import ChunkingConfigInput +from .claim_extraction_config_input import ClaimExtractionConfigInput +from .cluster_graph_config_input import ClusterGraphConfigInput +from .community_reports_config_input import CommunityReportsConfigInput +from .embed_graph_config_input import EmbedGraphConfigInput +from .entity_extraction_config_input import EntityExtractionConfigInput +from .global_search_config_input import GlobalSearchConfigInput +from .input_config_input import InputConfigInput +from .llm_config_input import LLMConfigInput +from .local_search_config_input import LocalSearchConfigInput +from .reporting_config_input import ReportingConfigInput +from .snapshots_config_input import SnapshotsConfigInput +from .storage_config_input import StorageConfigInput +from .summarize_descriptions_config_input import ( + SummarizeDescriptionsConfigInput, +) +from .text_embedding_config_input import TextEmbeddingConfigInput +from .umap_config_input import UmapConfigInput + + +class GraphRagConfigInput(LLMConfigInput): + """Base class for the Default-Configuration parameterization settings.""" + + reporting: NotRequired[ReportingConfigInput | None] + storage: NotRequired[StorageConfigInput | None] + cache: NotRequired[CacheConfigInput | None] + input: NotRequired[InputConfigInput | None] + embed_graph: NotRequired[EmbedGraphConfigInput | None] + embeddings: NotRequired[TextEmbeddingConfigInput | None] + chunks: NotRequired[ChunkingConfigInput | None] + snapshots: NotRequired[SnapshotsConfigInput | None] + entity_extraction: NotRequired[EntityExtractionConfigInput | None] + summarize_descriptions: NotRequired[SummarizeDescriptionsConfigInput | None] + community_reports: NotRequired[CommunityReportsConfigInput | None] + claim_extraction: NotRequired[ClaimExtractionConfigInput | None] + cluster_graph: NotRequired[ClusterGraphConfigInput | None] + umap: NotRequired[UmapConfigInput | None] + encoding_model: NotRequired[str | None] + skip_workflows: NotRequired[list[str] | str | None] + local_search: NotRequired[LocalSearchConfigInput | None] + global_search: NotRequired[GlobalSearchConfigInput | None] diff --git a/graphrag/config/input_models/input_config_input.py b/graphrag/config/input_models/input_config_input.py new file mode 100644 index 00000000..4ff89d2c --- /dev/null +++ b/graphrag/config/input_models/input_config_input.py @@ -0,0 +1,27 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Parameterization settings for the default configuration.""" + +from typing_extensions import NotRequired, TypedDict + +from graphrag.config.enums import InputFileType, InputType + + +class InputConfigInput(TypedDict): + """The default configuration section for Input.""" + + type: NotRequired[InputType | str | None] + file_type: NotRequired[InputFileType | str | None] + base_dir: NotRequired[str | None] + connection_string: NotRequired[str | None] + container_name: NotRequired[str | None] + file_encoding: NotRequired[str | None] + file_pattern: NotRequired[str | None] + source_column: NotRequired[str | None] + timestamp_column: NotRequired[str | None] + timestamp_format: NotRequired[str | None] + text_column: NotRequired[str | None] + title_column: NotRequired[str | None] + document_attribute_columns: NotRequired[list[str] | str | None] + storage_account_blob_url: NotRequired[str | None] diff --git a/graphrag/config/input_models/llm_config_input.py b/graphrag/config/input_models/llm_config_input.py new file mode 100644 index 00000000..67231371 --- /dev/null +++ b/graphrag/config/input_models/llm_config_input.py @@ -0,0 +1,18 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Parameterization settings for the default configuration.""" + +from datashaper import AsyncType +from typing_extensions import NotRequired, TypedDict + +from .llm_parameters_input import LLMParametersInput +from .parallelization_parameters_input import ParallelizationParametersInput + + +class LLMConfigInput(TypedDict): + """Base class for LLM-configured steps.""" + + llm: NotRequired[LLMParametersInput | None] + parallelization: NotRequired[ParallelizationParametersInput | None] + async_mode: NotRequired[AsyncType | str | None] diff --git a/graphrag/config/input_models/llm_parameters_input.py b/graphrag/config/input_models/llm_parameters_input.py new file mode 100644 index 00000000..c89c6c09 --- /dev/null +++ b/graphrag/config/input_models/llm_parameters_input.py @@ -0,0 +1,31 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""LLM Parameters model.""" + +from typing_extensions import NotRequired, TypedDict + +from graphrag.config.enums import LLMType + + +class LLMParametersInput(TypedDict): + """LLM Parameters model.""" + + api_key: NotRequired[str | None] + type: NotRequired[LLMType | str | None] + model: NotRequired[str | None] + max_tokens: NotRequired[int | str | None] + request_timeout: NotRequired[float | str | None] + api_base: NotRequired[str | None] + api_version: NotRequired[str | None] + organization: NotRequired[str | None] + proxy: NotRequired[str | None] + cognitive_services_endpoint: NotRequired[str | None] + deployment_name: NotRequired[str | None] + model_supports_json: NotRequired[bool | str | None] + tokens_per_minute: NotRequired[int | str | None] + requests_per_minute: NotRequired[int | str | None] + max_retries: NotRequired[int | str | None] + max_retry_wait: NotRequired[float | str | None] + sleep_on_rate_limit_recommendation: NotRequired[bool | str | None] + concurrent_requests: NotRequired[int | str | None] diff --git a/graphrag/config/input_models/local_search_config_input.py b/graphrag/config/input_models/local_search_config_input.py new file mode 100644 index 00000000..23df4010 --- /dev/null +++ b/graphrag/config/input_models/local_search_config_input.py @@ -0,0 +1,18 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Parameterization settings for the default configuration.""" + +from typing_extensions import NotRequired, TypedDict + + +class LocalSearchConfigInput(TypedDict): + """The default configuration section for Cache.""" + + text_unit_prop: NotRequired[float | str | None] + community_prop: NotRequired[float | str | None] + conversation_history_max_turns: NotRequired[int | str | None] + top_k_entities: NotRequired[int | str | None] + top_k_relationships: NotRequired[int | str | None] + max_tokens: NotRequired[int | str | None] + llm_max_tokens: NotRequired[int | str | None] diff --git a/graphrag/config/input_models/parallelization_parameters_input.py b/graphrag/config/input_models/parallelization_parameters_input.py new file mode 100644 index 00000000..e9204437 --- /dev/null +++ b/graphrag/config/input_models/parallelization_parameters_input.py @@ -0,0 +1,13 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""LLM Parameters model.""" + +from typing_extensions import NotRequired, TypedDict + + +class ParallelizationParametersInput(TypedDict): + """LLM Parameters model.""" + + stagger: NotRequired[float | str | None] + num_threads: NotRequired[int | str | None] diff --git a/graphrag/config/input_models/reporting_config_input.py b/graphrag/config/input_models/reporting_config_input.py new file mode 100644 index 00000000..a224f0b4 --- /dev/null +++ b/graphrag/config/input_models/reporting_config_input.py @@ -0,0 +1,18 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Parameterization settings for the default configuration.""" + +from typing_extensions import NotRequired, TypedDict + +from graphrag.config.enums import ReportingType + + +class ReportingConfigInput(TypedDict): + """The default configuration section for Reporting.""" + + type: NotRequired[ReportingType | str | None] + base_dir: NotRequired[str | None] + connection_string: NotRequired[str | None] + container_name: NotRequired[str | None] + storage_account_blob_url: NotRequired[str | None] diff --git a/graphrag/config/input_models/snapshots_config_input.py b/graphrag/config/input_models/snapshots_config_input.py new file mode 100644 index 00000000..c20becb0 --- /dev/null +++ b/graphrag/config/input_models/snapshots_config_input.py @@ -0,0 +1,14 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Parameterization settings for the default configuration.""" + +from typing_extensions import NotRequired, TypedDict + + +class SnapshotsConfigInput(TypedDict): + """Configuration section for snapshots.""" + + graphml: NotRequired[bool | str | None] + raw_entities: NotRequired[bool | str | None] + top_level_nodes: NotRequired[bool | str | None] diff --git a/graphrag/config/input_models/storage_config_input.py b/graphrag/config/input_models/storage_config_input.py new file mode 100644 index 00000000..cc5caf79 --- /dev/null +++ b/graphrag/config/input_models/storage_config_input.py @@ -0,0 +1,18 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Parameterization settings for the default configuration.""" + +from typing_extensions import NotRequired, TypedDict + +from graphrag.config.enums import StorageType + + +class StorageConfigInput(TypedDict): + """The default configuration section for Storage.""" + + type: NotRequired[StorageType | str | None] + base_dir: NotRequired[str | None] + connection_string: NotRequired[str | None] + container_name: NotRequired[str | None] + storage_account_blob_url: NotRequired[str | None] diff --git a/graphrag/config/input_models/summarize_descriptions_config_input.py b/graphrag/config/input_models/summarize_descriptions_config_input.py new file mode 100644 index 00000000..6ce756e5 --- /dev/null +++ b/graphrag/config/input_models/summarize_descriptions_config_input.py @@ -0,0 +1,16 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Parameterization settings for the default configuration.""" + +from typing_extensions import NotRequired + +from .llm_config_input import LLMConfigInput + + +class SummarizeDescriptionsConfigInput(LLMConfigInput): + """Configuration section for description summarization.""" + + prompt: NotRequired[str | None] + max_length: NotRequired[int | str | None] + strategy: NotRequired[dict | None] diff --git a/graphrag/config/input_models/text_embedding_config_input.py b/graphrag/config/input_models/text_embedding_config_input.py new file mode 100644 index 00000000..a7e176c6 --- /dev/null +++ b/graphrag/config/input_models/text_embedding_config_input.py @@ -0,0 +1,23 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Parameterization settings for the default configuration.""" + +from typing_extensions import NotRequired + +from graphrag.config.enums import ( + TextEmbeddingTarget, +) + +from .llm_config_input import LLMConfigInput + + +class TextEmbeddingConfigInput(LLMConfigInput): + """Configuration section for text embeddings.""" + + batch_size: NotRequired[int | str | None] + batch_max_tokens: NotRequired[int | str | None] + target: NotRequired[TextEmbeddingTarget | str | None] + skip: NotRequired[list[str] | str | None] + vector_store: NotRequired[dict | None] + strategy: NotRequired[dict | None] diff --git a/graphrag/config/input_models/umap_config_input.py b/graphrag/config/input_models/umap_config_input.py new file mode 100644 index 00000000..543ca385 --- /dev/null +++ b/graphrag/config/input_models/umap_config_input.py @@ -0,0 +1,12 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Parameterization settings for the default configuration.""" + +from typing_extensions import NotRequired, TypedDict + + +class UmapConfigInput(TypedDict): + """Configuration section for UMAP.""" + + enabled: NotRequired[bool | str | None] diff --git a/graphrag/config/models/__init__.py b/graphrag/config/models/__init__.py new file mode 100644 index 00000000..43c4cde5 --- /dev/null +++ b/graphrag/config/models/__init__.py @@ -0,0 +1,48 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Interfaces for Default Config parameterization.""" + +from .cache_config import CacheConfig +from .chunking_config import ChunkingConfig +from .claim_extraction_config import ClaimExtractionConfig +from .cluster_graph_config import ClusterGraphConfig +from .community_reports_config import CommunityReportsConfig +from .embed_graph_config import EmbedGraphConfig +from .entity_extraction_config import EntityExtractionConfig +from .global_search_config import GlobalSearchConfig +from .graph_rag_config import GraphRagConfig +from .input_config import InputConfig +from .llm_config import LLMConfig +from .llm_parameters import LLMParameters +from .local_search_config import LocalSearchConfig +from .parallelization_parameters import ParallelizationParameters +from .reporting_config import ReportingConfig +from .snapshots_config import SnapshotsConfig +from .storage_config import StorageConfig +from .summarize_descriptions_config import SummarizeDescriptionsConfig +from .text_embedding_config import TextEmbeddingConfig +from .umap_config import UmapConfig + +__all__ = [ + "CacheConfig", + "ChunkingConfig", + "ClaimExtractionConfig", + "ClusterGraphConfig", + "CommunityReportsConfig", + "EmbedGraphConfig", + "EntityExtractionConfig", + "GlobalSearchConfig", + "GraphRagConfig", + "InputConfig", + "LLMConfig", + "LLMParameters", + "LocalSearchConfig", + "ParallelizationParameters", + "ReportingConfig", + "SnapshotsConfig", + "StorageConfig", + "SummarizeDescriptionsConfig", + "TextEmbeddingConfig", + "UmapConfig", +] diff --git a/graphrag/config/models/cache_config.py b/graphrag/config/models/cache_config.py new file mode 100644 index 00000000..4589edce --- /dev/null +++ b/graphrag/config/models/cache_config.py @@ -0,0 +1,29 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Parameterization settings for the default configuration.""" + +from pydantic import BaseModel, Field + +import graphrag.config.defaults as defs +from graphrag.config.enums import CacheType + + +class CacheConfig(BaseModel): + """The default configuration section for Cache.""" + + type: CacheType = Field( + description="The cache type to use.", default=defs.CACHE_TYPE + ) + base_dir: str = Field( + description="The base directory for the cache.", default=defs.CACHE_BASE_DIR + ) + connection_string: str | None = Field( + description="The cache connection string to use.", default=None + ) + container_name: str | None = Field( + description="The cache container name to use.", default=None + ) + storage_account_blob_url: str | None = Field( + description="The storage account blob url to use.", default=None + ) diff --git a/graphrag/config/models/chunking_config.py b/graphrag/config/models/chunking_config.py new file mode 100644 index 00000000..ad7e3d0a --- /dev/null +++ b/graphrag/config/models/chunking_config.py @@ -0,0 +1,36 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Parameterization settings for the default configuration.""" + +from pydantic import BaseModel, Field + +import graphrag.config.defaults as defs + + +class ChunkingConfig(BaseModel): + """Configuration section for chunking.""" + + size: int = Field(description="The chunk size to use.", default=defs.CHUNK_SIZE) + overlap: int = Field( + description="The chunk overlap to use.", default=defs.CHUNK_OVERLAP + ) + group_by_columns: list[str] = Field( + description="The chunk by columns to use.", + default=defs.CHUNK_GROUP_BY_COLUMNS, + ) + strategy: dict | None = Field( + description="The chunk strategy to use, overriding the default tokenization strategy", + default=None, + ) + + def resolved_strategy(self) -> dict: + """Get the resolved chunking strategy.""" + from graphrag.index.verbs.text.chunk import ChunkStrategyType + + return self.strategy or { + "type": ChunkStrategyType.tokens, + "chunk_size": self.size, + "chunk_overlap": self.overlap, + "group_by_columns": self.group_by_columns, + } diff --git a/graphrag/config/models/claim_extraction_config.py b/graphrag/config/models/claim_extraction_config.py new file mode 100644 index 00000000..7ec465d9 --- /dev/null +++ b/graphrag/config/models/claim_extraction_config.py @@ -0,0 +1,51 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Parameterization settings for the default configuration.""" + +from pathlib import Path + +from pydantic import Field + +import graphrag.config.defaults as defs + +from .llm_config import LLMConfig + + +class ClaimExtractionConfig(LLMConfig): + """Configuration section for claim extraction.""" + + enabled: bool = Field( + description="Whether claim extraction is enabled.", + ) + prompt: str | None = Field( + description="The claim extraction prompt to use.", default=None + ) + description: str = Field( + description="The claim description to use.", + default=defs.CLAIM_DESCRIPTION, + ) + max_gleanings: int = Field( + description="The maximum number of entity gleanings to use.", + default=defs.CLAIM_MAX_GLEANINGS, + ) + strategy: dict | None = Field( + description="The override strategy to use.", default=None + ) + + def resolved_strategy(self, root_dir: str) -> dict: + """Get the resolved claim extraction strategy.""" + from graphrag.index.verbs.covariates.extract_covariates import ( + ExtractClaimsStrategyType, + ) + + return self.strategy or { + "type": ExtractClaimsStrategyType.graph_intelligence, + "llm": self.llm.model_dump(), + **self.parallelization.model_dump(), + "extraction_prompt": (Path(root_dir) / self.prompt).read_text() + if self.prompt + else None, + "claim_description": self.description, + "max_gleanings": self.max_gleanings, + } diff --git a/graphrag/config/models/cluster_graph_config.py b/graphrag/config/models/cluster_graph_config.py new file mode 100644 index 00000000..3029baeb --- /dev/null +++ b/graphrag/config/models/cluster_graph_config.py @@ -0,0 +1,28 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Parameterization settings for the default configuration.""" + +from pydantic import BaseModel, Field + +import graphrag.config.defaults as defs + + +class ClusterGraphConfig(BaseModel): + """Configuration section for clustering graphs.""" + + max_cluster_size: int = Field( + description="The maximum cluster size to use.", default=defs.MAX_CLUSTER_SIZE + ) + strategy: dict | None = Field( + description="The cluster strategy to use.", default=None + ) + + def resolved_strategy(self) -> dict: + """Get the resolved cluster strategy.""" + from graphrag.index.verbs.graph.clustering import GraphCommunityStrategyType + + return self.strategy or { + "type": GraphCommunityStrategyType.leiden, + "max_cluster_size": self.max_cluster_size, + } diff --git a/graphrag/config/models/community_reports_config.py b/graphrag/config/models/community_reports_config.py new file mode 100644 index 00000000..cc2c9e8f --- /dev/null +++ b/graphrag/config/models/community_reports_config.py @@ -0,0 +1,46 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Parameterization settings for the default configuration.""" + +from pathlib import Path + +from pydantic import Field + +import graphrag.config.defaults as defs + +from .llm_config import LLMConfig + + +class CommunityReportsConfig(LLMConfig): + """Configuration section for community reports.""" + + prompt: str | None = Field( + description="The community report extraction prompt to use.", default=None + ) + max_length: int = Field( + description="The community report maximum length in tokens.", + default=defs.COMMUNITY_REPORT_MAX_LENGTH, + ) + max_input_length: int = Field( + description="The maximum input length in tokens to use when generating reports.", + default=defs.COMMUNITY_REPORT_MAX_INPUT_LENGTH, + ) + strategy: dict | None = Field( + description="The override strategy to use.", default=None + ) + + def resolved_strategy(self, root_dir) -> dict: + """Get the resolved community report extraction strategy.""" + from graphrag.index.verbs.graph.report import CreateCommunityReportsStrategyType + + return self.strategy or { + "type": CreateCommunityReportsStrategyType.graph_intelligence, + "llm": self.llm.model_dump(), + **self.parallelization.model_dump(), + "extraction_prompt": (Path(root_dir) / self.prompt).read_text() + if self.prompt + else None, + "max_report_length": self.max_length, + "max_input_length": self.max_input_length, + } diff --git a/graphrag/config/models/embed_graph_config.py b/graphrag/config/models/embed_graph_config.py new file mode 100644 index 00000000..8b7677ab --- /dev/null +++ b/graphrag/config/models/embed_graph_config.py @@ -0,0 +1,48 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Parameterization settings for the default configuration.""" + +from pydantic import BaseModel, Field + +import graphrag.config.defaults as defs + + +class EmbedGraphConfig(BaseModel): + """The default configuration section for Node2Vec.""" + + enabled: bool = Field( + description="A flag indicating whether to enable node2vec.", + default=defs.NODE2VEC_ENABLED, + ) + num_walks: int = Field( + description="The node2vec number of walks.", default=defs.NODE2VEC_NUM_WALKS + ) + walk_length: int = Field( + description="The node2vec walk length.", default=defs.NODE2VEC_WALK_LENGTH + ) + window_size: int = Field( + description="The node2vec window size.", default=defs.NODE2VEC_WINDOW_SIZE + ) + iterations: int = Field( + description="The node2vec iterations.", default=defs.NODE2VEC_ITERATIONS + ) + random_seed: int = Field( + description="The node2vec random seed.", default=defs.NODE2VEC_RANDOM_SEED + ) + strategy: dict | None = Field( + description="The graph embedding strategy override.", default=None + ) + + def resolved_strategy(self) -> dict: + """Get the resolved node2vec strategy.""" + from graphrag.index.verbs.graph.embed import EmbedGraphStrategyType + + return self.strategy or { + "type": EmbedGraphStrategyType.node2vec, + "num_walks": self.num_walks, + "walk_length": self.walk_length, + "window_size": self.window_size, + "iterations": self.iterations, + "random_seed": self.iterations, + } diff --git a/graphrag/config/models/entity_extraction_config.py b/graphrag/config/models/entity_extraction_config.py new file mode 100644 index 00000000..ae4d4c56 --- /dev/null +++ b/graphrag/config/models/entity_extraction_config.py @@ -0,0 +1,48 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Parameterization settings for the default configuration.""" + +from pathlib import Path + +from pydantic import Field + +import graphrag.config.defaults as defs + +from .llm_config import LLMConfig + + +class EntityExtractionConfig(LLMConfig): + """Configuration section for entity extraction.""" + + prompt: str | None = Field( + description="The entity extraction prompt to use.", default=None + ) + entity_types: list[str] = Field( + description="The entity extraction entity types to use.", + default=defs.ENTITY_EXTRACTION_ENTITY_TYPES, + ) + max_gleanings: int = Field( + description="The maximum number of entity gleanings to use.", + default=defs.ENTITY_EXTRACTION_MAX_GLEANINGS, + ) + strategy: dict | None = Field( + description="Override the default entity extraction strategy", default=None + ) + + def resolved_strategy(self, root_dir: str, encoding_model: str) -> dict: + """Get the resolved entity extraction strategy.""" + from graphrag.index.verbs.entities.extraction import ExtractEntityStrategyType + + return self.strategy or { + "type": ExtractEntityStrategyType.graph_intelligence, + "llm": self.llm.model_dump(), + **self.parallelization.model_dump(), + "extraction_prompt": (Path(root_dir) / self.prompt).read_text() + if self.prompt + else None, + "max_gleanings": self.max_gleanings, + # It's prechunked in create_base_text_units + "encoding_name": encoding_model, + "prechunked": True, + } diff --git a/graphrag/config/models/global_search_config.py b/graphrag/config/models/global_search_config.py new file mode 100644 index 00000000..4249c29e --- /dev/null +++ b/graphrag/config/models/global_search_config.py @@ -0,0 +1,33 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Parameterization settings for the default configuration.""" + +from pydantic import BaseModel, Field + +import graphrag.config.defaults as defs + + +class GlobalSearchConfig(BaseModel): + """The default configuration section for Cache.""" + + max_tokens: int = Field( + description="The maximum context size in tokens.", + default=defs.GLOBAL_SEARCH_MAX_TOKENS, + ) + data_max_tokens: int = Field( + description="The data llm maximum tokens.", + default=defs.GLOBAL_SEARCH_DATA_MAX_TOKENS, + ) + map_max_tokens: int = Field( + description="The map llm maximum tokens.", + default=defs.GLOBAL_SEARCH_MAP_MAX_TOKENS, + ) + reduce_max_tokens: int = Field( + description="The reduce llm maximum tokens.", + default=defs.GLOBAL_SEARCH_REDUCE_MAX_TOKENS, + ) + concurrency: int = Field( + description="The number of concurrent requests.", + default=defs.GLOBAL_SEARCH_CONCURRENCY, + ) diff --git a/graphrag/config/models/graph_rag_config.py b/graphrag/config/models/graph_rag_config.py new file mode 100644 index 00000000..197d85e3 --- /dev/null +++ b/graphrag/config/models/graph_rag_config.py @@ -0,0 +1,146 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Parameterization settings for the default configuration.""" + +from devtools import pformat +from pydantic import Field + +import graphrag.config.defaults as defs + +from .cache_config import CacheConfig +from .chunking_config import ChunkingConfig +from .claim_extraction_config import ClaimExtractionConfig +from .cluster_graph_config import ClusterGraphConfig +from .community_reports_config import CommunityReportsConfig +from .embed_graph_config import EmbedGraphConfig +from .entity_extraction_config import EntityExtractionConfig +from .global_search_config import GlobalSearchConfig +from .input_config import InputConfig +from .llm_config import LLMConfig +from .local_search_config import LocalSearchConfig +from .reporting_config import ReportingConfig +from .snapshots_config import SnapshotsConfig +from .storage_config import StorageConfig +from .summarize_descriptions_config import ( + SummarizeDescriptionsConfig, +) +from .text_embedding_config import TextEmbeddingConfig +from .umap_config import UmapConfig + + +class GraphRagConfig(LLMConfig): + """Base class for the Default-Configuration parameterization settings.""" + + def __repr__(self) -> str: + """Get a string representation.""" + return pformat(self, highlight=False) + + def __str__(self): + """Get a string representation.""" + return self.model_dump_json(indent=4) + + root_dir: str = Field( + description="The root directory for the configuration.", default=None + ) + + reporting: ReportingConfig = Field( + description="The reporting configuration.", default=ReportingConfig() + ) + """The reporting configuration.""" + + storage: StorageConfig = Field( + description="The storage configuration.", default=StorageConfig() + ) + """The storage configuration.""" + + cache: CacheConfig = Field( + description="The cache configuration.", default=CacheConfig() + ) + """The cache configuration.""" + + input: InputConfig = Field( + description="The input configuration.", default=InputConfig() + ) + """The input configuration.""" + + embed_graph: EmbedGraphConfig = Field( + description="Graph embedding configuration.", + default=EmbedGraphConfig(), + ) + """Graph Embedding configuration.""" + + embeddings: TextEmbeddingConfig = Field( + description="The embeddings LLM configuration to use.", + default=TextEmbeddingConfig(), + ) + """The embeddings LLM configuration to use.""" + + chunks: ChunkingConfig = Field( + description="The chunking configuration to use.", + default=ChunkingConfig(), + ) + """The chunking configuration to use.""" + + snapshots: SnapshotsConfig = Field( + description="The snapshots configuration to use.", + default=SnapshotsConfig(), + ) + """The snapshots configuration to use.""" + + entity_extraction: EntityExtractionConfig = Field( + description="The entity extraction configuration to use.", + default=EntityExtractionConfig(), + ) + """The entity extraction configuration to use.""" + + summarize_descriptions: SummarizeDescriptionsConfig = Field( + description="The description summarization configuration to use.", + default=SummarizeDescriptionsConfig(), + ) + """The description summarization configuration to use.""" + + community_reports: CommunityReportsConfig = Field( + description="The community reports configuration to use.", + default=CommunityReportsConfig(), + ) + """The community reports configuration to use.""" + + claim_extraction: ClaimExtractionConfig = Field( + description="The claim extraction configuration to use.", + default=ClaimExtractionConfig( + enabled=defs.CLAIM_EXTRACTION_ENABLED, + ), + ) + """The claim extraction configuration to use.""" + + cluster_graph: ClusterGraphConfig = Field( + description="The cluster graph configuration to use.", + default=ClusterGraphConfig(), + ) + """The cluster graph configuration to use.""" + + umap: UmapConfig = Field( + description="The UMAP configuration to use.", default=UmapConfig() + ) + """The UMAP configuration to use.""" + + local_search: LocalSearchConfig = Field( + description="The local search configuration.", default=LocalSearchConfig() + ) + """The local search configuration.""" + + global_search: GlobalSearchConfig = Field( + description="The global search configuration.", default=GlobalSearchConfig() + ) + """The global search configuration.""" + + encoding_model: str = Field( + description="The encoding model to use.", default=defs.ENCODING_MODEL + ) + """The encoding model to use.""" + + skip_workflows: list[str] = Field( + description="The workflows to skip, usually for testing reasons.", default=[] + ) + """The workflows to skip, usually for testing reasons.""" diff --git a/graphrag/config/models/input_config.py b/graphrag/config/models/input_config.py new file mode 100644 index 00000000..f9e5847a --- /dev/null +++ b/graphrag/config/models/input_config.py @@ -0,0 +1,60 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Parameterization settings for the default configuration.""" + +from pydantic import BaseModel, Field + +import graphrag.config.defaults as defs +from graphrag.config.enums import InputFileType, InputType + + +class InputConfig(BaseModel): + """The default configuration section for Input.""" + + type: InputType = Field( + description="The input type to use.", default=defs.INPUT_TYPE + ) + file_type: InputFileType = Field( + description="The input file type to use.", default=defs.INPUT_FILE_TYPE + ) + base_dir: str = Field( + description="The input base directory to use.", default=defs.INPUT_BASE_DIR + ) + connection_string: str | None = Field( + description="The azure blob storage connection string to use.", default=None + ) + storage_account_blob_url: str | None = Field( + description="The storage account blob url to use.", default=None + ) + container_name: str | None = Field( + description="The azure blob storage container name to use.", default=None + ) + encoding: str | None = Field( + description="The input file encoding to use.", + default=defs.INPUT_FILE_ENCODING, + ) + file_pattern: str = Field( + description="The input file pattern to use.", default=defs.INPUT_TEXT_PATTERN + ) + file_filter: dict[str, str] | None = Field( + description="The optional file filter for the input files.", default=None + ) + source_column: str | None = Field( + description="The input source column to use.", default=None + ) + timestamp_column: str | None = Field( + description="The input timestamp column to use.", default=None + ) + timestamp_format: str | None = Field( + description="The input timestamp format to use.", default=None + ) + text_column: str = Field( + description="The input text column to use.", default=defs.INPUT_TEXT_COLUMN + ) + title_column: str | None = Field( + description="The input title column to use.", default=None + ) + document_attribute_columns: list[str] = Field( + description="The document attribute columns to use.", default=[] + ) diff --git a/graphrag/config/models/llm_config.py b/graphrag/config/models/llm_config.py new file mode 100644 index 00000000..62c193b0 --- /dev/null +++ b/graphrag/config/models/llm_config.py @@ -0,0 +1,27 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Parameterization settings for the default configuration.""" + +from datashaper import AsyncType +from pydantic import BaseModel, Field + +import graphrag.config.defaults as defs + +from .llm_parameters import LLMParameters +from .parallelization_parameters import ParallelizationParameters + + +class LLMConfig(BaseModel): + """Base class for LLM-configured steps.""" + + llm: LLMParameters = Field( + description="The LLM configuration to use.", default=LLMParameters() + ) + parallelization: ParallelizationParameters = Field( + description="The parallelization configuration to use.", + default=ParallelizationParameters(), + ) + async_mode: AsyncType = Field( + description="The async mode to use.", default=defs.ASYNC_MODE + ) diff --git a/graphrag/config/models/llm_parameters.py b/graphrag/config/models/llm_parameters.py new file mode 100644 index 00000000..4743e010 --- /dev/null +++ b/graphrag/config/models/llm_parameters.py @@ -0,0 +1,75 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""LLM Parameters model.""" + +from pydantic import BaseModel, ConfigDict, Field + +import graphrag.config.defaults as defs +from graphrag.config.enums import LLMType + + +class LLMParameters(BaseModel): + """LLM Parameters model.""" + + model_config = ConfigDict(protected_namespaces=(), extra="allow") + api_key: str | None = Field( + description="The API key to use for the LLM service.", + default=None, + ) + type: LLMType = Field( + description="The type of LLM model to use.", default=defs.LLM_TYPE + ) + model: str = Field(description="The LLM model to use.", default=defs.LLM_MODEL) + max_tokens: int | None = Field( + description="The maximum number of tokens to generate.", + default=defs.LLM_MAX_TOKENS, + ) + request_timeout: float = Field( + description="The request timeout to use.", default=defs.LLM_REQUEST_TIMEOUT + ) + api_base: str | None = Field( + description="The base URL for the LLM API.", default=None + ) + api_version: str | None = Field( + description="The version of the LLM API to use.", default=None + ) + organization: str | None = Field( + description="The organization to use for the LLM service.", default=None + ) + proxy: str | None = Field( + description="The proxy to use for the LLM service.", default=None + ) + cognitive_services_endpoint: str | None = Field( + description="The endpoint to reach cognitives services.", default=None + ) + deployment_name: str | None = Field( + description="The deployment name to use for the LLM service.", default=None + ) + model_supports_json: bool | None = Field( + description="Whether the model supports JSON output mode.", default=None + ) + tokens_per_minute: int = Field( + description="The number of tokens per minute to use for the LLM service.", + default=defs.LLM_TOKENS_PER_MINUTE, + ) + requests_per_minute: int = Field( + description="The number of requests per minute to use for the LLM service.", + default=defs.LLM_REQUESTS_PER_MINUTE, + ) + max_retries: int = Field( + description="The maximum number of retries to use for the LLM service.", + default=defs.LLM_MAX_RETRIES, + ) + max_retry_wait: float = Field( + description="The maximum retry wait to use for the LLM service.", + default=defs.LLM_MAX_RETRY_WAIT, + ) + sleep_on_rate_limit_recommendation: bool = Field( + description="Whether to sleep on rate limit recommendations.", + default=defs.LLM_SLEEP_ON_RATE_LIMIT_RECOMMENDATION, + ) + concurrent_requests: int = Field( + description="Whether to use concurrent requests for the LLM service.", + default=defs.LLM_CONCURRENT_REQUESTS, + ) diff --git a/graphrag/config/models/local_search_config.py b/graphrag/config/models/local_search_config.py new file mode 100644 index 00000000..5fa5dd1e --- /dev/null +++ b/graphrag/config/models/local_search_config.py @@ -0,0 +1,39 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Parameterization settings for the default configuration.""" + +from pydantic import BaseModel, Field + +import graphrag.config.defaults as defs + + +class LocalSearchConfig(BaseModel): + """The default configuration section for Cache.""" + + text_unit_prop: float = Field( + description="The text unit proportion.", + default=defs.LOCAL_SEARCH_TEXT_UNIT_PROP, + ) + community_prop: float = Field( + description="The community proportion.", + default=defs.LOCAL_SEARCH_COMMUNITY_PROP, + ) + conversation_history_max_turns: int = Field( + description="The conversation history maximum turns.", + default=defs.LOCAL_SEARCH_CONVERSATION_HISTORY_MAX_TURNS, + ) + top_k_entities: int = Field( + description="The top k mapped entities.", + default=defs.LOCAL_SEARCH_TOP_K_MAPPED_ENTITIES, + ) + top_k_relationships: int = Field( + description="The top k mapped relations.", + default=defs.LOCAL_SEARCH_TOP_K_RELATIONSHIPS, + ) + max_tokens: int = Field( + description="The maximum tokens.", default=defs.LOCAL_SEARCH_MAX_TOKENS + ) + llm_max_tokens: int = Field( + description="The LLM maximum tokens.", default=defs.LOCAL_SEARCH_LLM_MAX_TOKENS + ) diff --git a/graphrag/config/models/parallelization_parameters.py b/graphrag/config/models/parallelization_parameters.py new file mode 100644 index 00000000..80a85b86 --- /dev/null +++ b/graphrag/config/models/parallelization_parameters.py @@ -0,0 +1,21 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""LLM Parameters model.""" + +from pydantic import BaseModel, Field + +import graphrag.config.defaults as defs + + +class ParallelizationParameters(BaseModel): + """LLM Parameters model.""" + + stagger: float = Field( + description="The stagger to use for the LLM service.", + default=defs.PARALLELIZATION_STAGGER, + ) + num_threads: int = Field( + description="The number of threads to use for the LLM service.", + default=defs.PARALLELIZATION_NUM_THREADS, + ) diff --git a/graphrag/config/models/reporting_config.py b/graphrag/config/models/reporting_config.py new file mode 100644 index 00000000..35e86cf5 --- /dev/null +++ b/graphrag/config/models/reporting_config.py @@ -0,0 +1,30 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Parameterization settings for the default configuration.""" + +from pydantic import BaseModel, Field + +import graphrag.config.defaults as defs +from graphrag.config.enums import ReportingType + + +class ReportingConfig(BaseModel): + """The default configuration section for Reporting.""" + + type: ReportingType = Field( + description="The reporting type to use.", default=defs.REPORTING_TYPE + ) + base_dir: str = Field( + description="The base directory for reporting.", + default=defs.REPORTING_BASE_DIR, + ) + connection_string: str | None = Field( + description="The reporting connection string to use.", default=None + ) + container_name: str | None = Field( + description="The reporting container name to use.", default=None + ) + storage_account_blob_url: str | None = Field( + description="The storage account blob url to use.", default=None + ) diff --git a/graphrag/config/models/snapshots_config.py b/graphrag/config/models/snapshots_config.py new file mode 100644 index 00000000..08293fb7 --- /dev/null +++ b/graphrag/config/models/snapshots_config.py @@ -0,0 +1,25 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Parameterization settings for the default configuration.""" + +from pydantic import BaseModel, Field + +import graphrag.config.defaults as defs + + +class SnapshotsConfig(BaseModel): + """Configuration section for snapshots.""" + + graphml: bool = Field( + description="A flag indicating whether to take snapshots of GraphML.", + default=defs.SNAPSHOTS_GRAPHML, + ) + raw_entities: bool = Field( + description="A flag indicating whether to take snapshots of raw entities.", + default=defs.SNAPSHOTS_RAW_ENTITIES, + ) + top_level_nodes: bool = Field( + description="A flag indicating whether to take snapshots of top-level nodes.", + default=defs.SNAPSHOTS_TOP_LEVEL_NODES, + ) diff --git a/graphrag/config/models/storage_config.py b/graphrag/config/models/storage_config.py new file mode 100644 index 00000000..dcf41b92 --- /dev/null +++ b/graphrag/config/models/storage_config.py @@ -0,0 +1,30 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Parameterization settings for the default configuration.""" + +from pydantic import BaseModel, Field + +import graphrag.config.defaults as defs +from graphrag.config.enums import StorageType + + +class StorageConfig(BaseModel): + """The default configuration section for Storage.""" + + type: StorageType = Field( + description="The storage type to use.", default=defs.STORAGE_TYPE + ) + base_dir: str = Field( + description="The base directory for the storage.", + default=defs.STORAGE_BASE_DIR, + ) + connection_string: str | None = Field( + description="The storage connection string to use.", default=None + ) + container_name: str | None = Field( + description="The storage container name to use.", default=None + ) + storage_account_blob_url: str | None = Field( + description="The storage account blob url to use.", default=None + ) diff --git a/graphrag/config/models/summarize_descriptions_config.py b/graphrag/config/models/summarize_descriptions_config.py new file mode 100644 index 00000000..39aa93e2 --- /dev/null +++ b/graphrag/config/models/summarize_descriptions_config.py @@ -0,0 +1,41 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Parameterization settings for the default configuration.""" + +from pathlib import Path + +from pydantic import Field + +import graphrag.config.defaults as defs + +from .llm_config import LLMConfig + + +class SummarizeDescriptionsConfig(LLMConfig): + """Configuration section for description summarization.""" + + prompt: str | None = Field( + description="The description summarization prompt to use.", default=None + ) + max_length: int = Field( + description="The description summarization maximum length.", + default=defs.SUMMARIZE_DESCRIPTIONS_MAX_LENGTH, + ) + strategy: dict | None = Field( + description="The override strategy to use.", default=None + ) + + def resolved_strategy(self, root_dir: str) -> dict: + """Get the resolved description summarization strategy.""" + from graphrag.index.verbs.entities.summarize import SummarizeStrategyType + + return self.strategy or { + "type": SummarizeStrategyType.graph_intelligence, + "llm": self.llm.model_dump(), + **self.parallelization.model_dump(), + "summarize_prompt": (Path(root_dir) / self.prompt).read_text() + if self.prompt + else None, + "max_summary_length": self.max_length, + } diff --git a/graphrag/config/models/text_embedding_config.py b/graphrag/config/models/text_embedding_config.py new file mode 100644 index 00000000..5c2fcdb8 --- /dev/null +++ b/graphrag/config/models/text_embedding_config.py @@ -0,0 +1,46 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Parameterization settings for the default configuration.""" + +from pydantic import Field + +import graphrag.config.defaults as defs +from graphrag.config.enums import TextEmbeddingTarget + +from .llm_config import LLMConfig + + +class TextEmbeddingConfig(LLMConfig): + """Configuration section for text embeddings.""" + + batch_size: int = Field( + description="The batch size to use.", default=defs.EMBEDDING_BATCH_SIZE + ) + batch_max_tokens: int = Field( + description="The batch max tokens to use.", + default=defs.EMBEDDING_BATCH_MAX_TOKENS, + ) + target: TextEmbeddingTarget = Field( + description="The target to use. 'all' or 'required'.", + default=defs.EMBEDDING_TARGET, + ) + skip: list[str] = Field(description="The specific embeddings to skip.", default=[]) + vector_store: dict | None = Field( + description="The vector storage configuration", default=None + ) + strategy: dict | None = Field( + description="The override strategy to use.", default=None + ) + + def resolved_strategy(self) -> dict: + """Get the resolved text embedding strategy.""" + from graphrag.index.verbs.text.embed import TextEmbedStrategyType + + return self.strategy or { + "type": TextEmbedStrategyType.openai, + "llm": self.llm.model_dump(), + **self.parallelization.model_dump(), + "batch_size": self.batch_size, + "batch_max_tokens": self.batch_max_tokens, + } diff --git a/graphrag/config/models/umap_config.py b/graphrag/config/models/umap_config.py new file mode 100644 index 00000000..1d9bd93e --- /dev/null +++ b/graphrag/config/models/umap_config.py @@ -0,0 +1,17 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Parameterization settings for the default configuration.""" + +from pydantic import BaseModel, Field + +import graphrag.config.defaults as defs + + +class UmapConfig(BaseModel): + """Configuration section for UMAP.""" + + enabled: bool = Field( + description="A flag indicating whether to enable UMAP.", + default=defs.UMAP_ENABLED, + ) diff --git a/graphrag/config/read_dotenv.py b/graphrag/config/read_dotenv.py new file mode 100644 index 00000000..7e041757 --- /dev/null +++ b/graphrag/config/read_dotenv.py @@ -0,0 +1,25 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing the read_dotenv utility.""" + +import logging +import os +from pathlib import Path + +from dotenv import dotenv_values + +log = logging.getLogger(__name__) + + +def read_dotenv(root: str) -> None: + """Read a .env file in the given root path.""" + env_path = Path(root) / ".env" + if env_path.exists(): + log.info("Loading pipeline .env file") + env_config = dotenv_values(f"{env_path}") + for key, value in env_config.items(): + if key not in os.environ: + os.environ[key] = value or "" + else: + log.info("No .env file found at %s", root) diff --git a/graphrag/index/__init__.py b/graphrag/index/__init__.py new file mode 100644 index 00000000..c97c290a --- /dev/null +++ b/graphrag/index/__init__.py @@ -0,0 +1,78 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine package root.""" + +from .cache import PipelineCache +from .config import ( + PipelineBlobCacheConfig, + PipelineBlobReportingConfig, + PipelineBlobStorageConfig, + PipelineCacheConfig, + PipelineCacheConfigTypes, + PipelineConfig, + PipelineConsoleReportingConfig, + PipelineCSVInputConfig, + PipelineFileCacheConfig, + PipelineFileReportingConfig, + PipelineFileStorageConfig, + PipelineInputConfig, + PipelineInputConfigTypes, + PipelineMemoryCacheConfig, + PipelineMemoryStorageConfig, + PipelineNoneCacheConfig, + PipelineReportingConfig, + PipelineReportingConfigTypes, + PipelineStorageConfig, + PipelineStorageConfigTypes, + PipelineTextInputConfig, + PipelineWorkflowConfig, + PipelineWorkflowReference, + PipelineWorkflowStep, +) +from .create_pipeline_config import create_pipeline_config +from .errors import ( + NoWorkflowsDefinedError, + UndefinedWorkflowError, + UnknownWorkflowError, +) +from .load_pipeline_config import load_pipeline_config +from .run import run_pipeline, run_pipeline_with_config +from .storage import PipelineStorage + +__all__ = [ + "NoWorkflowsDefinedError", + "PipelineBlobCacheConfig", + "PipelineBlobCacheConfig", + "PipelineBlobReportingConfig", + "PipelineBlobStorageConfig", + "PipelineCSVInputConfig", + "PipelineCache", + "PipelineCacheConfig", + "PipelineCacheConfigTypes", + "PipelineConfig", + "PipelineConsoleReportingConfig", + "PipelineFileCacheConfig", + "PipelineFileReportingConfig", + "PipelineFileStorageConfig", + "PipelineInputConfig", + "PipelineInputConfigTypes", + "PipelineMemoryCacheConfig", + "PipelineMemoryStorageConfig", + "PipelineNoneCacheConfig", + "PipelineReportingConfig", + "PipelineReportingConfigTypes", + "PipelineStorage", + "PipelineStorageConfig", + "PipelineStorageConfigTypes", + "PipelineTextInputConfig", + "PipelineWorkflowConfig", + "PipelineWorkflowReference", + "PipelineWorkflowStep", + "UndefinedWorkflowError", + "UnknownWorkflowError", + "create_pipeline_config", + "load_pipeline_config", + "run_pipeline", + "run_pipeline_with_config", +] diff --git a/graphrag/index/__main__.py b/graphrag/index/__main__.py new file mode 100644 index 00000000..0c1c53f9 --- /dev/null +++ b/graphrag/index/__main__.py @@ -0,0 +1,80 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine package root.""" + +import argparse + +from .cli import index_cli + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument( + "--config", + help="The configuration yaml file to use when running the pipeline", + required=False, + type=str, + ) + parser.add_argument( + "-v", + "--verbose", + help="Runs the pipeline with verbose logging", + action="store_true", + ) + parser.add_argument( + "--memprofile", + help="Runs the pipeline with memory profiling", + action="store_true", + ) + parser.add_argument( + "--root", + help="If no configuration is defined, the root directory to use for input data and output data", + # Only required if config is not defined + required=False, + type=str, + ) + parser.add_argument( + "--resume", + help="Resume a given data run leveraging Parquet output files.", + # Only required if config is not defined + required=False, + default=None, + type=str, + ) + parser.add_argument( + "--reporter", + help="The progress reporter to use. Valid values are 'rich', 'print', or 'none'", + type=str, + ) + parser.add_argument( + "--emit", + help="The data formats to emit, comma-separated. Valid values are 'parquet' and 'csv'. default='parquet,csv'", + type=str, + ) + parser.add_argument( + "--dryrun", + help="Run the pipeline without actually executing any steps and inspect the configuration.", + action="store_true", + ) + parser.add_argument("--nocache", help="Disable LLM cache.", action="store_true") + parser.add_argument( + "--init", + help="Create an initial configuration in the given path.", + action="store_true", + ) + + args = parser.parse_args() + + index_cli( + root=args.root, + verbose=args.verbose or False, + resume=args.resume, + memprofile=args.memprofile or False, + nocache=args.nocache or False, + reporter=args.reporter, + config=args.config, + emit=args.emit, + dryrun=args.dryrun or False, + init=args.init or False, + cli=True, + ) diff --git a/graphrag/index/bootstrap.py b/graphrag/index/bootstrap.py new file mode 100644 index 00000000..398ec88b --- /dev/null +++ b/graphrag/index/bootstrap.py @@ -0,0 +1,28 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Bootstrap definition.""" + +import warnings + +# Ignore warnings from numba +warnings.filterwarnings("ignore", message=".*The 'nopython' keyword.*") +warnings.filterwarnings("ignore", message=".*Use no seed for parallelism.*") + +initialized_nltk = False + + +def bootstrap(): + """Bootstrap definition.""" + global initialized_nltk + if not initialized_nltk: + import nltk + from nltk.corpus import wordnet as wn + + nltk.download("punkt") + nltk.download("averaged_perceptron_tagger") + nltk.download("maxent_ne_chunker") + nltk.download("words") + nltk.download("wordnet") + wn.ensure_loaded() + initialized_nltk = True diff --git a/graphrag/index/cache/__init__.py b/graphrag/index/cache/__init__.py new file mode 100644 index 00000000..42ebb229 --- /dev/null +++ b/graphrag/index/cache/__init__.py @@ -0,0 +1,18 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine cache package root.""" + +from .json_pipeline_cache import JsonPipelineCache +from .load_cache import load_cache +from .memory_pipeline_cache import InMemoryCache +from .noop_pipeline_cache import NoopPipelineCache +from .pipeline_cache import PipelineCache + +__all__ = [ + "InMemoryCache", + "JsonPipelineCache", + "NoopPipelineCache", + "PipelineCache", + "load_cache", +] diff --git a/graphrag/index/cache/json_pipeline_cache.py b/graphrag/index/cache/json_pipeline_cache.py new file mode 100644 index 00000000..b88a3899 --- /dev/null +++ b/graphrag/index/cache/json_pipeline_cache.py @@ -0,0 +1,64 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing 'FilePipelineCache' model.""" + +import json +from typing import Any + +from graphrag.index.storage import PipelineStorage + +from .pipeline_cache import PipelineCache + + +class JsonPipelineCache(PipelineCache): + """File pipeline cache class definition.""" + + _storage: PipelineStorage + _encoding: str + + def __init__(self, storage: PipelineStorage, encoding="utf-8"): + """Init method definition.""" + self._storage = storage + self._encoding = encoding + + async def get(self, key: str) -> str | None: + """Get method definition.""" + if await self.has(key): + try: + data = await self._storage.get(key, encoding=self._encoding) + data = json.loads(data) + except UnicodeDecodeError: + await self._storage.delete(key) + return None + except json.decoder.JSONDecodeError: + await self._storage.delete(key) + return None + else: + return data.get("result") + + return None + + async def set(self, key: str, value: Any, debug_data: dict | None = None) -> None: + """Set method definition.""" + if value is None: + return + data = {"result": value, **(debug_data or {})} + await self._storage.set(key, json.dumps(data), encoding=self._encoding) + + async def has(self, key: str) -> bool: + """Has method definition.""" + return await self._storage.has(key) + + async def delete(self, key: str) -> None: + """Delete method definition.""" + if await self.has(key): + await self._storage.delete(key) + + async def clear(self) -> None: + """Clear method definition.""" + await self._storage.clear() + + def child(self, name: str) -> "JsonPipelineCache": + """Child method definition.""" + return JsonPipelineCache(self._storage.child(name), encoding=self._encoding) diff --git a/graphrag/index/cache/load_cache.py b/graphrag/index/cache/load_cache.py new file mode 100644 index 00000000..4e0e6324 --- /dev/null +++ b/graphrag/index/cache/load_cache.py @@ -0,0 +1,51 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing load_cache method definition.""" + +from __future__ import annotations + +from typing import TYPE_CHECKING, cast + +from graphrag.config.enums import CacheType +from graphrag.index.config.cache import ( + PipelineBlobCacheConfig, + PipelineFileCacheConfig, +) +from graphrag.index.storage import BlobPipelineStorage, FilePipelineStorage + +if TYPE_CHECKING: + from graphrag.index.config import ( + PipelineCacheConfig, + ) + +from .json_pipeline_cache import JsonPipelineCache +from .memory_pipeline_cache import create_memory_cache +from .noop_pipeline_cache import NoopPipelineCache + + +def load_cache(config: PipelineCacheConfig | None, root_dir: str | None): + """Load the cache from the given config.""" + if config is None: + return NoopPipelineCache() + + match config.type: + case CacheType.none: + return NoopPipelineCache() + case CacheType.memory: + return create_memory_cache() + case CacheType.file: + config = cast(PipelineFileCacheConfig, config) + storage = FilePipelineStorage(root_dir).child(config.base_dir) + return JsonPipelineCache(storage) + case CacheType.blob: + config = cast(PipelineBlobCacheConfig, config) + storage = BlobPipelineStorage( + config.connection_string, + config.container_name, + storage_account_blob_url=config.storage_account_blob_url, + ).child(config.base_dir) + return JsonPipelineCache(storage) + case _: + msg = f"Unknown cache type: {config.type}" + raise ValueError(msg) diff --git a/graphrag/index/cache/memory_pipeline_cache.py b/graphrag/index/cache/memory_pipeline_cache.py new file mode 100644 index 00000000..fa42f3f9 --- /dev/null +++ b/graphrag/index/cache/memory_pipeline_cache.py @@ -0,0 +1,83 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing 'InMemoryCache' model.""" + +from typing import Any + +from .pipeline_cache import PipelineCache + + +class InMemoryCache(PipelineCache): + """In memory cache class definition.""" + + _cache: dict[str, Any] + _name: str + + def __init__(self, name: str | None = None): + """Init method definition.""" + self._cache = {} + self._name = name or "" + + async def get(self, key: str) -> Any: + """Get the value for the given key. + + Args: + - key - The key to get the value for. + - as_bytes - Whether or not to return the value as bytes. + + Returns + ------- + - output - The value for the given key. + """ + key = self._create_cache_key(key) + return self._cache.get(key) + + async def set(self, key: str, value: Any, debug_data: dict | None = None) -> None: + """Set the value for the given key. + + Args: + - key - The key to set the value for. + - value - The value to set. + """ + key = self._create_cache_key(key) + self._cache[key] = value + + async def has(self, key: str) -> bool: + """Return True if the given key exists in the storage. + + Args: + - key - The key to check for. + + Returns + ------- + - output - True if the key exists in the storage, False otherwise. + """ + key = self._create_cache_key(key) + return key in self._cache + + async def delete(self, key: str) -> None: + """Delete the given key from the storage. + + Args: + - key - The key to delete. + """ + key = self._create_cache_key(key) + del self._cache[key] + + async def clear(self) -> None: + """Clear the storage.""" + self._cache.clear() + + def child(self, name: str) -> PipelineCache: + """Create a sub cache with the given name.""" + return InMemoryCache(name) + + def _create_cache_key(self, key: str) -> str: + """Create a cache key for the given key.""" + return f"{self._name}{key}" + + +def create_memory_cache() -> PipelineCache: + """Create a memory cache.""" + return InMemoryCache() diff --git a/graphrag/index/cache/noop_pipeline_cache.py b/graphrag/index/cache/noop_pipeline_cache.py new file mode 100644 index 00000000..b7c3e60f --- /dev/null +++ b/graphrag/index/cache/noop_pipeline_cache.py @@ -0,0 +1,65 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Module containing the NoopPipelineCache implementation.""" + +from typing import Any + +from .pipeline_cache import PipelineCache + + +class NoopPipelineCache(PipelineCache): + """A no-op implementation of the pipeline cache, usually useful for testing.""" + + async def get(self, key: str) -> Any: + """Get the value for the given key. + + Args: + - key - The key to get the value for. + - as_bytes - Whether or not to return the value as bytes. + + Returns + ------- + - output - The value for the given key. + """ + return None + + async def set( + self, key: str, value: str | bytes | None, debug_data: dict | None = None + ) -> None: + """Set the value for the given key. + + Args: + - key - The key to set the value for. + - value - The value to set. + """ + + async def has(self, key: str) -> bool: + """Return True if the given key exists in the cache. + + Args: + - key - The key to check for. + + Returns + ------- + - output - True if the key exists in the cache, False otherwise. + """ + return False + + async def delete(self, key: str) -> None: + """Delete the given key from the cache. + + Args: + - key - The key to delete. + """ + + async def clear(self) -> None: + """Clear the cache.""" + + def child(self, name: str) -> PipelineCache: + """Create a child cache with the given name. + + Args: + - name - The name to create the sub cache with. + """ + return self diff --git a/graphrag/index/cache/pipeline_cache.py b/graphrag/index/cache/pipeline_cache.py new file mode 100644 index 00000000..c68c5cfb --- /dev/null +++ b/graphrag/index/cache/pipeline_cache.py @@ -0,0 +1,67 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing 'PipelineCache' model.""" + +from __future__ import annotations + +from abc import ABCMeta, abstractmethod +from typing import Any + + +class PipelineCache(metaclass=ABCMeta): + """Provide a cache interface for the pipeline.""" + + @abstractmethod + async def get(self, key: str) -> Any: + """Get the value for the given key. + + Args: + - key - The key to get the value for. + - as_bytes - Whether or not to return the value as bytes. + + Returns + ------- + - output - The value for the given key. + """ + + @abstractmethod + async def set(self, key: str, value: Any, debug_data: dict | None = None) -> None: + """Set the value for the given key. + + Args: + - key - The key to set the value for. + - value - The value to set. + """ + + @abstractmethod + async def has(self, key: str) -> bool: + """Return True if the given key exists in the cache. + + Args: + - key - The key to check for. + + Returns + ------- + - output - True if the key exists in the cache, False otherwise. + """ + + @abstractmethod + async def delete(self, key: str) -> None: + """Delete the given key from the cache. + + Args: + - key - The key to delete. + """ + + @abstractmethod + async def clear(self) -> None: + """Clear the cache.""" + + @abstractmethod + def child(self, name: str) -> PipelineCache: + """Create a child cache with the given name. + + Args: + - name - The name to create the sub cache with. + """ diff --git a/graphrag/index/cli.py b/graphrag/index/cli.py new file mode 100644 index 00000000..f32e34dc --- /dev/null +++ b/graphrag/index/cli.py @@ -0,0 +1,293 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Main definition.""" + +import asyncio +import json +import logging +import platform +import sys +import time +import warnings +from pathlib import Path + +from graphrag.config import ( + create_graphrag_config, +) +from graphrag.index import PipelineConfig, create_pipeline_config +from graphrag.index.cache import NoopPipelineCache +from graphrag.index.progress import ( + NullProgressReporter, + PrintProgressReporter, + ProgressReporter, +) +from graphrag.index.progress.rich import RichProgressReporter +from graphrag.index.run import run_pipeline_with_config + +from .emit import TableEmitterType +from .graph.extractors.claims.prompts import CLAIM_EXTRACTION_PROMPT +from .graph.extractors.community_reports.prompts import COMMUNITY_REPORT_PROMPT +from .graph.extractors.graph.prompts import GRAPH_EXTRACTION_PROMPT +from .graph.extractors.summarize.prompts import SUMMARIZE_PROMPT +from .init_content import INIT_DOTENV, INIT_YAML + +# Ignore warnings from numba +warnings.filterwarnings("ignore", message=".*NumbaDeprecationWarning.*") + +log = logging.getLogger(__name__) + + +def redact(input: dict) -> str: + """Sanitize the config json.""" + + # Redact any sensitive configuration + def redact_dict(input: dict) -> dict: + if not isinstance(input, dict): + return input + + result = {} + for key, value in input.items(): + if key in { + "api_key", + "connection_string", + "container_name", + "organization", + }: + if value is not None: + result[key] = f"REDACTED, length {len(value)}" + elif isinstance(value, dict): + result[key] = redact_dict(value) + elif isinstance(value, list): + result[key] = [redact_dict(i) for i in value] + else: + result[key] = value + return result + + redacted_dict = redact_dict(input) + return json.dumps(redacted_dict, indent=4) + + +def index_cli( + root: str | None, + init: bool, + verbose: bool, + resume: str | None, + memprofile: bool, + nocache: bool, + reporter: str | None, + config: str | None, + emit: str | None, + dryrun: bool, + cli: bool = False, +): + """Run the pipeline with the given config.""" + root = root or "" + run_id = resume or time.strftime("%Y%m%d-%H%M%S") + _enable_logging(root, run_id, verbose) + progress_reporter = _get_progress_reporter(reporter) + if init: + _initialize_project_at(root, progress_reporter) + sys.exit(0) + pipeline_config: str | PipelineConfig = config or _create_default_config( + root, verbose, dryrun or False, progress_reporter + ) + cache = NoopPipelineCache() if nocache else None + pipeline_emit = emit.split(",") if emit else None + encountered_errors = False + + def _run_workflow_async() -> None: + import signal + + def handle_signal(signum, _): + # Handle the signal here + progress_reporter.info(f"Received signal {signum}, exiting...") + progress_reporter.dispose() + for task in asyncio.all_tasks(): + task.cancel() + progress_reporter.info("All tasks cancelled. Exiting...") + + # Register signal handlers for SIGINT and SIGHUP + signal.signal(signal.SIGINT, handle_signal) + + if sys.platform != "win32": + signal.signal(signal.SIGHUP, handle_signal) + + async def execute(): + nonlocal encountered_errors + async for output in run_pipeline_with_config( + pipeline_config, + run_id=run_id, + memory_profile=memprofile, + cache=cache, + progress_reporter=progress_reporter, + emit=( + [TableEmitterType(e) for e in pipeline_emit] + if pipeline_emit + else None + ), + is_resume_run=bool(resume), + ): + if output.errors and len(output.errors) > 0: + encountered_errors = True + progress_reporter.error(output.workflow) + else: + progress_reporter.success(output.workflow) + + progress_reporter.info(str(output.result)) + + if platform.system() == "Windows": + import nest_asyncio # type: ignore Ignoring because out of windows this will cause an error + + nest_asyncio.apply() + loop = asyncio.get_event_loop() + loop.run_until_complete(execute()) + elif sys.version_info >= (3, 11): + import uvloop # type: ignore Ignoring because on windows this will cause an error + + with asyncio.Runner(loop_factory=uvloop.new_event_loop) as runner: # type: ignore Ignoring because minor versions this will throw an error + runner.run(execute()) + else: + import uvloop # type: ignore Ignoring because on windows this will cause an error + + uvloop.install() + asyncio.run(execute()) + + _run_workflow_async() + progress_reporter.stop() + if encountered_errors: + progress_reporter.error( + "Errors occurred during the pipeline run, see logs for more details." + ) + else: + progress_reporter.success("All workflows completed successfully.") + + if cli: + sys.exit(1 if encountered_errors else 0) + + +def _initialize_project_at(path: str, reporter: ProgressReporter) -> None: + """Initialize the project at the given path.""" + reporter.info(f"Initializing project at {path}") + root = Path(path) + if not root.exists(): + root.mkdir(parents=True, exist_ok=True) + + settings_yaml = root / "settings.yaml" + if settings_yaml.exists(): + msg = f"Project already initialized at {root}" + raise ValueError(msg) + + dotenv = root / ".env" + if not dotenv.exists(): + with settings_yaml.open("w") as file: + file.write(INIT_YAML) + + with dotenv.open("w") as file: + file.write(INIT_DOTENV) + + prompts_dir = root / "prompts" + if not prompts_dir.exists(): + prompts_dir.mkdir(parents=True, exist_ok=True) + + entity_extraction = prompts_dir / "entity_extraction.txt" + if not entity_extraction.exists(): + with entity_extraction.open("w") as file: + file.write(GRAPH_EXTRACTION_PROMPT) + + summarize_descriptions = prompts_dir / "summarize_descriptions.txt" + if not summarize_descriptions.exists(): + with summarize_descriptions.open("w") as file: + file.write(SUMMARIZE_PROMPT) + + claim_extraction = prompts_dir / "claim_extraction.txt" + if not claim_extraction.exists(): + with claim_extraction.open("w") as file: + file.write(CLAIM_EXTRACTION_PROMPT) + + community_report = prompts_dir / "community_report.txt" + if not community_report.exists(): + with community_report.open("w") as file: + file.write(COMMUNITY_REPORT_PROMPT) + + +def _create_default_config( + root: str, verbose: bool, dryrun: bool, reporter: ProgressReporter +) -> PipelineConfig: + """Create a default config if none is provided.""" + if not Path(root).exists(): + msg = f"Root directory {root} does not exist" + raise ValueError(msg) + + parameters = _read_config_parameters(root, reporter) + log.info( + "using default configuration: %s", + redact(parameters.model_dump()), + ) + + if verbose or dryrun: + reporter.info(f"Using default configuration: {redact(parameters.model_dump())}") + result = create_pipeline_config(parameters, verbose) + if verbose or dryrun: + reporter.info(f"Final Config: {redact(result.model_dump())}") + + if dryrun: + reporter.info("dry run complete, exiting...") + sys.exit(0) + return result + + +def _read_config_parameters(root: str, reporter: ProgressReporter): + _root = Path(root) + settings_yaml = _root / "settings.yaml" + if not settings_yaml.exists(): + settings_yaml = _root / "settings.yml" + settings_json = _root / "settings.json" + + if settings_yaml.exists(): + reporter.success(f"Reading settings from {settings_yaml}") + with settings_yaml.open("r") as file: + import yaml + + data = yaml.safe_load(file) + return create_graphrag_config(data, root) + + if settings_json.exists(): + reporter.success(f"Reading settings from {settings_json}") + with settings_json.open("r") as file: + import json + + data = json.loads(file.read()) + return create_graphrag_config(data, root) + + reporter.success("Reading settings from environment variables") + return create_graphrag_config(root_dir=root) + + +def _get_progress_reporter(reporter_type: str | None) -> ProgressReporter: + if reporter_type is None or reporter_type == "rich": + return RichProgressReporter("GraphRAG Indexer ") + if reporter_type == "print": + return PrintProgressReporter("GraphRAG Indexer ") + if reporter_type == "none": + return NullProgressReporter() + + msg = f"Invalid progress reporter type: {reporter_type}" + raise ValueError(msg) + + +def _enable_logging(root_dir: str, run_id: str, verbose: bool) -> None: + logging_file = ( + Path(root_dir) / "output" / run_id / "reports" / "indexing-engine.log" + ) + logging_file.parent.mkdir(parents=True, exist_ok=True) + + logging_file.touch(exist_ok=True) + + logging.basicConfig( + filename=str(logging_file), + filemode="a", + format="%(asctime)s,%(msecs)d %(name)s %(levelname)s %(message)s", + datefmt="%H:%M:%S", + level=logging.DEBUG if verbose else logging.INFO, + ) diff --git a/graphrag/index/config/__init__.py b/graphrag/index/config/__init__.py new file mode 100644 index 00000000..3c40762a --- /dev/null +++ b/graphrag/index/config/__init__.py @@ -0,0 +1,69 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine config typing package root.""" + +from .cache import ( + PipelineBlobCacheConfig, + PipelineCacheConfig, + PipelineCacheConfigTypes, + PipelineFileCacheConfig, + PipelineMemoryCacheConfig, + PipelineNoneCacheConfig, +) +from .input import ( + PipelineCSVInputConfig, + PipelineInputConfig, + PipelineInputConfigTypes, + PipelineTextInputConfig, +) +from .pipeline import PipelineConfig +from .reporting import ( + PipelineBlobReportingConfig, + PipelineConsoleReportingConfig, + PipelineFileReportingConfig, + PipelineReportingConfig, + PipelineReportingConfigTypes, +) +from .storage import ( + PipelineBlobStorageConfig, + PipelineFileStorageConfig, + PipelineMemoryStorageConfig, + PipelineStorageConfig, + PipelineStorageConfigTypes, +) +from .workflow import ( + PipelineWorkflowConfig, + PipelineWorkflowReference, + PipelineWorkflowStep, +) + +__all__ = [ + "PipelineBlobCacheConfig", + "PipelineBlobReportingConfig", + "PipelineBlobStorageConfig", + "PipelineCSVInputConfig", + "PipelineCacheConfig", + "PipelineCacheConfigTypes", + "PipelineCacheConfigTypes", + "PipelineCacheConfigTypes", + "PipelineConfig", + "PipelineConsoleReportingConfig", + "PipelineFileCacheConfig", + "PipelineFileReportingConfig", + "PipelineFileStorageConfig", + "PipelineInputConfig", + "PipelineInputConfigTypes", + "PipelineMemoryCacheConfig", + "PipelineMemoryCacheConfig", + "PipelineMemoryStorageConfig", + "PipelineNoneCacheConfig", + "PipelineReportingConfig", + "PipelineReportingConfigTypes", + "PipelineStorageConfig", + "PipelineStorageConfigTypes", + "PipelineTextInputConfig", + "PipelineWorkflowConfig", + "PipelineWorkflowReference", + "PipelineWorkflowStep", +] diff --git a/graphrag/index/config/cache.py b/graphrag/index/config/cache.py new file mode 100644 index 00000000..be1053de --- /dev/null +++ b/graphrag/index/config/cache.py @@ -0,0 +1,82 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing 'PipelineCacheConfig', 'PipelineFileCacheConfig' and 'PipelineMemoryCacheConfig' models.""" + +from __future__ import annotations + +from typing import Generic, Literal, TypeVar + +from pydantic import BaseModel +from pydantic import Field as pydantic_Field + +from graphrag.config.enums import CacheType + +T = TypeVar("T") + + +class PipelineCacheConfig(BaseModel, Generic[T]): + """Represent the cache configuration for the pipeline.""" + + type: T + + +class PipelineFileCacheConfig(PipelineCacheConfig[Literal[CacheType.file]]): + """Represent the file cache configuration for the pipeline.""" + + type: Literal[CacheType.file] = CacheType.file + """The type of cache.""" + + base_dir: str | None = pydantic_Field( + description="The base directory for the cache.", default=None + ) + """The base directory for the cache.""" + + +class PipelineMemoryCacheConfig(PipelineCacheConfig[Literal[CacheType.memory]]): + """Represent the memory cache configuration for the pipeline.""" + + type: Literal[CacheType.memory] = CacheType.memory + """The type of cache.""" + + +class PipelineNoneCacheConfig(PipelineCacheConfig[Literal[CacheType.none]]): + """Represent the none cache configuration for the pipeline.""" + + type: Literal[CacheType.none] = CacheType.none + """The type of cache.""" + + +class PipelineBlobCacheConfig(PipelineCacheConfig[Literal[CacheType.blob]]): + """Represents the blob cache configuration for the pipeline.""" + + type: Literal[CacheType.blob] = CacheType.blob + """The type of cache.""" + + base_dir: str | None = pydantic_Field( + description="The base directory for the cache.", default=None + ) + """The base directory for the cache.""" + + connection_string: str | None = pydantic_Field( + description="The blob cache connection string for the cache.", default=None + ) + """The blob cache connection string for the cache.""" + + container_name: str = pydantic_Field( + description="The container name for cache", default=None + ) + """The container name for cache""" + + storage_account_blob_url: str | None = pydantic_Field( + description="The storage account blob url for cache", default=None + ) + """The storage account blob url for cache""" + + +PipelineCacheConfigTypes = ( + PipelineFileCacheConfig + | PipelineMemoryCacheConfig + | PipelineBlobCacheConfig + | PipelineNoneCacheConfig +) diff --git a/graphrag/index/config/input.py b/graphrag/index/config/input.py new file mode 100644 index 00000000..35db3575 --- /dev/null +++ b/graphrag/index/config/input.py @@ -0,0 +1,120 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing 'PipelineInputConfig', 'PipelineCSVInputConfig' and 'PipelineTextInputConfig' models.""" + +from __future__ import annotations + +from typing import Generic, Literal, TypeVar + +from pydantic import BaseModel +from pydantic import Field as pydantic_Field + +from graphrag.config.enums import InputFileType, InputType + +from .workflow import PipelineWorkflowStep + +T = TypeVar("T") + + +class PipelineInputConfig(BaseModel, Generic[T]): + """Represent the configuration for an input.""" + + file_type: T + """The file type of input.""" + + type: InputType | None = pydantic_Field( + description="The input type to use.", + default=None, + ) + """The input type to use.""" + + connection_string: str | None = pydantic_Field( + description="The blob cache connection string for the input files.", + default=None, + ) + """The blob cache connection string for the input files.""" + + storage_account_blob_url: str | None = pydantic_Field( + description="The storage account blob url for the input files.", default=None + ) + """The storage account blob url for the input files.""" + + container_name: str | None = pydantic_Field( + description="The container name for input files.", default=None + ) + """The container name for the input files.""" + + base_dir: str | None = pydantic_Field( + description="The base directory for the input files.", default=None + ) + """The base directory for the input files.""" + + file_pattern: str = pydantic_Field( + description="The regex file pattern for the input files." + ) + """The regex file pattern for the input files.""" + + file_filter: dict[str, str] | None = pydantic_Field( + description="The optional file filter for the input files.", default=None + ) + """The optional file filter for the input files.""" + + post_process: list[PipelineWorkflowStep] | None = pydantic_Field( + description="The post processing steps for the input.", default=None + ) + """The post processing steps for the input.""" + + encoding: str | None = pydantic_Field( + description="The encoding for the input files.", default=None + ) + """The encoding for the input files.""" + + +class PipelineCSVInputConfig(PipelineInputConfig[Literal[InputFileType.csv]]): + """Represent the configuration for a CSV input.""" + + file_type: Literal[InputFileType.csv] = InputFileType.csv + + source_column: str | None = pydantic_Field( + description="The column to use as the source of the document.", default=None + ) + """The column to use as the source of the document.""" + + timestamp_column: str | None = pydantic_Field( + description="The column to use as the timestamp of the document.", default=None + ) + """The column to use as the timestamp of the document.""" + + timestamp_format: str | None = pydantic_Field( + description="The format of the timestamp column, so it can be parsed correctly.", + default=None, + ) + """The format of the timestamp column, so it can be parsed correctly.""" + + text_column: str | None = pydantic_Field( + description="The column to use as the text of the document.", default=None + ) + """The column to use as the text of the document.""" + + title_column: str | None = pydantic_Field( + description="The column to use as the title of the document.", default=None + ) + """The column to use as the title of the document.""" + + +class PipelineTextInputConfig(PipelineInputConfig[Literal[InputFileType.text]]): + """Represent the configuration for a text input.""" + + file_type: Literal[InputFileType.text] = InputFileType.text + + # Text Specific + title_text_length: int | None = pydantic_Field( + description="Number of characters to use from the text as the title.", + default=None, + ) + """Number of characters to use from the text as the title.""" + + +PipelineInputConfigTypes = PipelineCSVInputConfig | PipelineTextInputConfig +"""Represent the types of inputs that can be used in a pipeline.""" diff --git a/graphrag/index/config/pipeline.py b/graphrag/index/config/pipeline.py new file mode 100644 index 00000000..30d866e3 --- /dev/null +++ b/graphrag/index/config/pipeline.py @@ -0,0 +1,64 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing 'PipelineConfig' model.""" + +from __future__ import annotations + +from devtools import pformat +from pydantic import BaseModel +from pydantic import Field as pydantic_Field + +from .cache import PipelineCacheConfigTypes +from .input import PipelineInputConfigTypes +from .reporting import PipelineReportingConfigTypes +from .storage import PipelineStorageConfigTypes +from .workflow import PipelineWorkflowReference + + +class PipelineConfig(BaseModel): + """Represent the configuration for a pipeline.""" + + def __repr__(self) -> str: + """Get a string representation.""" + return pformat(self, highlight=False) + + def __str__(self): + """Get a string representation.""" + return str(self.model_dump_json(indent=4)) + + extends: list[str] | str | None = pydantic_Field( + description="Extends another pipeline configuration", default=None + ) + """Extends another pipeline configuration""" + + input: PipelineInputConfigTypes | None = pydantic_Field( + default=None, discriminator="file_type" + ) + """The input configuration for the pipeline.""" + + reporting: PipelineReportingConfigTypes | None = pydantic_Field( + default=None, discriminator="type" + ) + """The reporting configuration for the pipeline.""" + + storage: PipelineStorageConfigTypes | None = pydantic_Field( + default=None, discriminator="type" + ) + """The storage configuration for the pipeline.""" + + cache: PipelineCacheConfigTypes | None = pydantic_Field( + default=None, discriminator="type" + ) + """The cache configuration for the pipeline.""" + + root_dir: str | None = pydantic_Field( + description="The root directory for the pipeline. All other paths will be based on this root_dir.", + default=None, + ) + """The root directory for the pipeline.""" + + workflows: list[PipelineWorkflowReference] = pydantic_Field( + description="The workflows for the pipeline.", default_factory=list + ) + """The workflows for the pipeline.""" diff --git a/graphrag/index/config/reporting.py b/graphrag/index/config/reporting.py new file mode 100644 index 00000000..921e24ae --- /dev/null +++ b/graphrag/index/config/reporting.py @@ -0,0 +1,77 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing 'PipelineReportingConfig', 'PipelineFileReportingConfig' and 'PipelineConsoleReportingConfig' models.""" + +from __future__ import annotations + +from typing import Generic, Literal, TypeVar + +from pydantic import BaseModel +from pydantic import Field as pydantic_Field + +from graphrag.config.enums import ReportingType + +T = TypeVar("T") + + +class PipelineReportingConfig(BaseModel, Generic[T]): + """Represent the reporting configuration for the pipeline.""" + + type: T + + +class PipelineFileReportingConfig(PipelineReportingConfig[Literal[ReportingType.file]]): + """Represent the file reporting configuration for the pipeline.""" + + type: Literal[ReportingType.file] = ReportingType.file + """The type of reporting.""" + + base_dir: str | None = pydantic_Field( + description="The base directory for the reporting.", default=None + ) + """The base directory for the reporting.""" + + +class PipelineConsoleReportingConfig( + PipelineReportingConfig[Literal[ReportingType.console]] +): + """Represent the console reporting configuration for the pipeline.""" + + type: Literal[ReportingType.console] = ReportingType.console + """The type of reporting.""" + + +class PipelineBlobReportingConfig(PipelineReportingConfig[Literal[ReportingType.blob]]): + """Represents the blob reporting configuration for the pipeline.""" + + type: Literal[ReportingType.blob] = ReportingType.blob + """The type of reporting.""" + + connection_string: str | None = pydantic_Field( + description="The blob reporting connection string for the reporting.", + default=None, + ) + """The blob reporting connection string for the reporting.""" + + container_name: str = pydantic_Field( + description="The container name for reporting", default=None + ) + """The container name for reporting""" + + storage_account_blob_url: str | None = pydantic_Field( + description="The storage account blob url for reporting", default=None + ) + """The storage account blob url for reporting""" + + base_dir: str | None = pydantic_Field( + description="The base directory for the reporting.", default=None + ) + """The base directory for the reporting.""" + + +PipelineReportingConfigTypes = ( + PipelineFileReportingConfig + | PipelineConsoleReportingConfig + | PipelineBlobReportingConfig +) diff --git a/graphrag/index/config/storage.py b/graphrag/index/config/storage.py new file mode 100644 index 00000000..023d50e2 --- /dev/null +++ b/graphrag/index/config/storage.py @@ -0,0 +1,72 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing 'PipelineStorageConfig', 'PipelineFileStorageConfig' and 'PipelineMemoryStorageConfig' models.""" + +from __future__ import annotations + +from typing import Generic, Literal, TypeVar + +from pydantic import BaseModel +from pydantic import Field as pydantic_Field + +from graphrag.config.enums import StorageType + +T = TypeVar("T") + + +class PipelineStorageConfig(BaseModel, Generic[T]): + """Represent the storage configuration for the pipeline.""" + + type: T + + +class PipelineFileStorageConfig(PipelineStorageConfig[Literal[StorageType.file]]): + """Represent the file storage configuration for the pipeline.""" + + type: Literal[StorageType.file] = StorageType.file + """The type of storage.""" + + base_dir: str | None = pydantic_Field( + description="The base directory for the storage.", default=None + ) + """The base directory for the storage.""" + + +class PipelineMemoryStorageConfig(PipelineStorageConfig[Literal[StorageType.memory]]): + """Represent the memory storage configuration for the pipeline.""" + + type: Literal[StorageType.memory] = StorageType.memory + """The type of storage.""" + + +class PipelineBlobStorageConfig(PipelineStorageConfig[Literal[StorageType.blob]]): + """Represents the blob storage configuration for the pipeline.""" + + type: Literal[StorageType.blob] = StorageType.blob + """The type of storage.""" + + connection_string: str | None = pydantic_Field( + description="The blob storage connection string for the storage.", default=None + ) + """The blob storage connection string for the storage.""" + + container_name: str = pydantic_Field( + description="The container name for storage", default=None + ) + """The container name for storage.""" + + base_dir: str | None = pydantic_Field( + description="The base directory for the storage.", default=None + ) + """The base directory for the storage.""" + + storage_account_blob_url: str | None = pydantic_Field( + description="The storage account blob url.", default=None + ) + """The storage account blob url.""" + + +PipelineStorageConfigTypes = ( + PipelineFileStorageConfig | PipelineMemoryStorageConfig | PipelineBlobStorageConfig +) diff --git a/graphrag/index/config/workflow.py b/graphrag/index/config/workflow.py new file mode 100644 index 00000000..c26fef6c --- /dev/null +++ b/graphrag/index/config/workflow.py @@ -0,0 +1,34 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing 'PipelineWorkflowReference' model.""" + +from __future__ import annotations + +from typing import Any + +from pydantic import BaseModel +from pydantic import Field as pydantic_Field + +PipelineWorkflowStep = dict[str, Any] +"""Represent a step in a workflow.""" + +PipelineWorkflowConfig = dict[str, Any] +"""Represent a configuration for a workflow.""" + + +class PipelineWorkflowReference(BaseModel): + """Represent a reference to a workflow, and can optionally be the workflow itself.""" + + name: str | None = pydantic_Field(description="Name of the workflow.", default=None) + """Name of the workflow.""" + + steps: list[PipelineWorkflowStep] | None = pydantic_Field( + description="The optional steps for the workflow.", default=None + ) + """The optional steps for the workflow.""" + + config: PipelineWorkflowConfig | None = pydantic_Field( + description="The optional configuration for the workflow.", default=None + ) + """The optional configuration for the workflow.""" diff --git a/graphrag/index/context.py b/graphrag/index/context.py new file mode 100644 index 00000000..e74799bd --- /dev/null +++ b/graphrag/index/context.py @@ -0,0 +1,42 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +# isort: skip_file +"""A module containing the 'PipelineRunStats' and 'PipelineRunContext' models.""" + +from dataclasses import dataclass as dc_dataclass +from dataclasses import field + +from .cache import PipelineCache +from .storage.typing import PipelineStorage + + +@dc_dataclass +class PipelineRunStats: + """Pipeline running stats.""" + + total_runtime: float = field(default=0) + """Float representing the total runtime.""" + + num_documents: int = field(default=0) + """Number of documents.""" + + input_load_time: float = field(default=0) + """Float representing the input load time.""" + + workflows: dict[str, dict[str, float]] = field(default_factory=dict) + """A dictionary of workflows.""" + + +@dc_dataclass +class PipelineRunContext: + """Provides the context for the current pipeline run.""" + + stats: PipelineRunStats + storage: PipelineStorage + cache: PipelineCache + + +# TODO: For now, just has the same props available to it +VerbRunContext = PipelineRunContext +"""Provides the context for the current verb run.""" diff --git a/graphrag/index/create_pipeline_config.py b/graphrag/index/create_pipeline_config.py new file mode 100644 index 00000000..40f36247 --- /dev/null +++ b/graphrag/index/create_pipeline_config.py @@ -0,0 +1,548 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Default configuration methods definition.""" + +import json +import logging +from pathlib import Path + +from graphrag.config.enums import ( + CacheType, + InputFileType, + ReportingType, + StorageType, + TextEmbeddingTarget, +) +from graphrag.config.models import ( + GraphRagConfig, + TextEmbeddingConfig, +) +from graphrag.index.config.cache import ( + PipelineBlobCacheConfig, + PipelineCacheConfigTypes, + PipelineFileCacheConfig, + PipelineMemoryCacheConfig, + PipelineNoneCacheConfig, +) +from graphrag.index.config.input import ( + PipelineCSVInputConfig, + PipelineInputConfigTypes, + PipelineTextInputConfig, +) +from graphrag.index.config.pipeline import ( + PipelineConfig, +) +from graphrag.index.config.reporting import ( + PipelineBlobReportingConfig, + PipelineConsoleReportingConfig, + PipelineFileReportingConfig, + PipelineReportingConfigTypes, +) +from graphrag.index.config.storage import ( + PipelineBlobStorageConfig, + PipelineFileStorageConfig, + PipelineMemoryStorageConfig, + PipelineStorageConfigTypes, +) +from graphrag.index.config.workflow import ( + PipelineWorkflowReference, +) +from graphrag.index.workflows.default_workflows import ( + create_base_documents, + create_base_entity_graph, + create_base_extracted_entities, + create_base_text_units, + create_final_communities, + create_final_community_reports, + create_final_covariates, + create_final_documents, + create_final_entities, + create_final_nodes, + create_final_relationships, + create_final_text_units, + create_summarized_entities, + join_text_units_to_covariate_ids, + join_text_units_to_entity_ids, + join_text_units_to_relationship_ids, +) + +log = logging.getLogger(__name__) + + +entity_name_embedding = "entity.name" +entity_description_embedding = "entity.description" +relationship_description_embedding = "relationship.description" +document_raw_content_embedding = "document.raw_content" +community_title_embedding = "community.title" +community_summary_embedding = "community.summary" +community_full_content_embedding = "community.full_content" +text_unit_text_embedding = "text_unit.text" + +all_embeddings: set[str] = { + entity_name_embedding, + entity_description_embedding, + relationship_description_embedding, + document_raw_content_embedding, + community_title_embedding, + community_summary_embedding, + community_full_content_embedding, + text_unit_text_embedding, +} +required_embeddings: set[str] = {entity_description_embedding} + + +builtin_document_attributes: set[str] = { + "id", + "source", + "text", + "title", + "timestamp", + "year", + "month", + "day", + "hour", + "minute", + "second", +} + + +def create_pipeline_config(settings: GraphRagConfig, verbose=False) -> PipelineConfig: + """Get the default config for the pipeline.""" + # relative to the root_dir + if verbose: + _log_llm_settings(settings) + + skip_workflows = _determine_skip_workflows(settings) + embedded_fields = _get_embedded_fields(settings) + covariates_enabled = ( + settings.claim_extraction.enabled + and create_final_covariates not in skip_workflows + ) + + result = PipelineConfig( + root_dir=settings.root_dir, + input=_get_pipeline_input_config(settings), + reporting=_get_reporting_config(settings), + storage=_get_storage_config(settings), + cache=_get_cache_config(settings), + workflows=[ + *_document_workflows(settings, embedded_fields), + *_text_unit_workflows(settings, covariates_enabled, embedded_fields), + *_graph_workflows(settings, embedded_fields), + *_community_workflows(settings, covariates_enabled, embedded_fields), + *(_covariate_workflows(settings) if covariates_enabled else []), + ], + ) + + # Remove any workflows that were specified to be skipped + log.info("skipping workflows %s", ",".join(skip_workflows)) + result.workflows = [w for w in result.workflows if w.name not in skip_workflows] + return result + + +def _get_embedded_fields(settings: GraphRagConfig) -> set[str]: + match settings.embeddings.target: + case TextEmbeddingTarget.all: + return all_embeddings - {*settings.embeddings.skip} + case TextEmbeddingTarget.required: + return required_embeddings + case _: + msg = f"Unknown embeddings target: {settings.embeddings.target}" + raise ValueError(msg) + + +def _determine_skip_workflows(settings: GraphRagConfig) -> list[str]: + skip_workflows = settings.skip_workflows + if ( + create_final_covariates in skip_workflows + and join_text_units_to_covariate_ids not in skip_workflows + ): + skip_workflows.append(join_text_units_to_covariate_ids) + return skip_workflows + + +def _log_llm_settings(settings: GraphRagConfig) -> None: + log.info( + "Using LLM Config %s", + json.dumps( + {**settings.entity_extraction.llm.model_dump(), "api_key": "*****"}, + indent=4, + ), + ) + log.info( + "Using Embeddings Config %s", + json.dumps( + {**settings.embeddings.llm.model_dump(), "api_key": "*****"}, indent=4 + ), + ) + + +def _document_workflows( + settings: GraphRagConfig, embedded_fields: set[str] +) -> list[PipelineWorkflowReference]: + skip_document_raw_content_embedding = ( + document_raw_content_embedding not in embedded_fields + ) + return [ + PipelineWorkflowReference( + name=create_base_documents, + config={ + "document_attribute_columns": list( + {*(settings.input.document_attribute_columns)} + - builtin_document_attributes + ) + }, + ), + PipelineWorkflowReference( + name=create_final_documents, + config={ + "document_raw_content_embed": _get_embedding_settings( + settings.embeddings, "document_raw_content" + ), + "skip_raw_content_embedding": skip_document_raw_content_embedding, + }, + ), + ] + + +def _text_unit_workflows( + settings: GraphRagConfig, + covariates_enabled: bool, + embedded_fields: set[str], +) -> list[PipelineWorkflowReference]: + skip_text_unit_embedding = text_unit_text_embedding not in embedded_fields + return [ + PipelineWorkflowReference( + name=create_base_text_units, + config={ + "chunk_by": settings.chunks.group_by_columns, + "text_chunk": {"strategy": settings.chunks.resolved_strategy()}, + }, + ), + PipelineWorkflowReference( + name=join_text_units_to_entity_ids, + ), + PipelineWorkflowReference( + name=join_text_units_to_relationship_ids, + ), + *( + [ + PipelineWorkflowReference( + name=join_text_units_to_covariate_ids, + ) + ] + if covariates_enabled + else [] + ), + PipelineWorkflowReference( + name=create_final_text_units, + config={ + "text_unit_text_embed": _get_embedding_settings( + settings.embeddings, "text_unit_text" + ), + "covariates_enabled": covariates_enabled, + "skip_text_unit_embedding": skip_text_unit_embedding, + }, + ), + ] + + +def _get_embedding_settings(settings: TextEmbeddingConfig, embedding_name: str) -> dict: + vector_store_settings = settings.vector_store + if vector_store_settings is None: + return {"strategy": settings.resolved_strategy()} + + # + # If we get to this point, settings.vector_store is defined, and there's a specific setting for this embedding. + # settings.vector_store.base contains connection information, or may be undefined + # settings.vector_store. contains the specific settings for this embedding + # + strategy = settings.resolved_strategy() # get the default strategy + strategy.update({ + "vector_store": vector_store_settings + }) # update the default strategy with the vector store settings + # This ensures the vector store config is part of the strategy and not the global config + return { + "strategy": strategy, + "embedding_name": embedding_name, + } + + +def _graph_workflows( + settings: GraphRagConfig, embedded_fields: set[str] +) -> list[PipelineWorkflowReference]: + skip_entity_name_embedding = entity_name_embedding not in embedded_fields + skip_entity_description_embedding = ( + entity_description_embedding not in embedded_fields + ) + skip_relationship_description_embedding = ( + relationship_description_embedding not in embedded_fields + ) + return [ + PipelineWorkflowReference( + name=create_base_extracted_entities, + config={ + "graphml_snapshot": settings.snapshots.graphml, + "raw_entity_snapshot": settings.snapshots.raw_entities, + "entity_extract": { + **settings.entity_extraction.parallelization.model_dump(), + "async_mode": settings.entity_extraction.async_mode, + "strategy": settings.entity_extraction.resolved_strategy( + settings.root_dir, settings.encoding_model + ), + "entity_types": settings.entity_extraction.entity_types, + }, + }, + ), + PipelineWorkflowReference( + name=create_summarized_entities, + config={ + "graphml_snapshot": settings.snapshots.graphml, + "summarize_descriptions": { + **settings.summarize_descriptions.parallelization.model_dump(), + "async_mode": settings.summarize_descriptions.async_mode, + "strategy": settings.summarize_descriptions.resolved_strategy( + settings.root_dir, + ), + }, + }, + ), + PipelineWorkflowReference( + name=create_base_entity_graph, + config={ + "graphml_snapshot": settings.snapshots.graphml, + "embed_graph_enabled": settings.embed_graph.enabled, + "cluster_graph": { + "strategy": settings.cluster_graph.resolved_strategy() + }, + "embed_graph": {"strategy": settings.embed_graph.resolved_strategy()}, + }, + ), + PipelineWorkflowReference( + name=create_final_entities, + config={ + "entity_name_embed": _get_embedding_settings( + settings.embeddings, "entity_name" + ), + "entity_name_description_embed": _get_embedding_settings( + settings.embeddings, "entity_name_description" + ), + "skip_name_embedding": skip_entity_name_embedding, + "skip_description_embedding": skip_entity_description_embedding, + }, + ), + PipelineWorkflowReference( + name=create_final_relationships, + config={ + "relationship_description_embed": _get_embedding_settings( + settings.embeddings, "relationship_description" + ), + "skip_description_embedding": skip_relationship_description_embedding, + }, + ), + PipelineWorkflowReference( + name=create_final_nodes, + config={ + "layout_graph_enabled": settings.umap.enabled, + "snapshot_top_level_nodes": settings.snapshots.top_level_nodes, + }, + ), + ] + + +def _community_workflows( + settings: GraphRagConfig, covariates_enabled: bool, embedded_fields: set[str] +) -> list[PipelineWorkflowReference]: + skip_community_title_embedding = community_title_embedding not in embedded_fields + skip_community_summary_embedding = ( + community_summary_embedding not in embedded_fields + ) + skip_community_full_content_embedding = ( + community_full_content_embedding not in embedded_fields + ) + return [ + PipelineWorkflowReference(name=create_final_communities), + PipelineWorkflowReference( + name=create_final_community_reports, + config={ + "covariates_enabled": covariates_enabled, + "skip_title_embedding": skip_community_title_embedding, + "skip_summary_embedding": skip_community_summary_embedding, + "skip_full_content_embedding": skip_community_full_content_embedding, + "create_community_reports": { + **settings.community_reports.parallelization.model_dump(), + "async_mode": settings.community_reports.async_mode, + "strategy": settings.community_reports.resolved_strategy( + settings.root_dir + ), + }, + "community_report_full_content_embed": _get_embedding_settings( + settings.embeddings, "community_report_full_content" + ), + "community_report_summary_embed": _get_embedding_settings( + settings.embeddings, "community_report_summary" + ), + "community_report_title_embed": _get_embedding_settings( + settings.embeddings, "community_report_title" + ), + }, + ), + ] + + +def _covariate_workflows( + settings: GraphRagConfig, +) -> list[PipelineWorkflowReference]: + return [ + PipelineWorkflowReference( + name=create_final_covariates, + config={ + "claim_extract": { + **settings.claim_extraction.parallelization.model_dump(), + "strategy": settings.claim_extraction.resolved_strategy( + settings.root_dir + ), + }, + }, + ) + ] + + +def _get_pipeline_input_config( + settings: GraphRagConfig, +) -> PipelineInputConfigTypes: + file_type = settings.input.file_type + match file_type: + case InputFileType.csv: + return PipelineCSVInputConfig( + base_dir=settings.input.base_dir, + file_pattern=settings.input.file_pattern, + encoding=settings.input.encoding, + source_column=settings.input.source_column, + timestamp_column=settings.input.timestamp_column, + timestamp_format=settings.input.timestamp_format, + text_column=settings.input.text_column, + title_column=settings.input.title_column, + type=settings.input.type, + connection_string=settings.input.connection_string, + storage_account_blob_url=settings.input.storage_account_blob_url, + container_name=settings.input.container_name, + ) + case InputFileType.text: + return PipelineTextInputConfig( + base_dir=settings.input.base_dir, + file_pattern=settings.input.file_pattern, + encoding=settings.input.encoding, + type=settings.input.type, + connection_string=settings.input.connection_string, + storage_account_blob_url=settings.input.storage_account_blob_url, + container_name=settings.input.container_name, + ) + case _: + msg = f"Unknown input type: {file_type}" + raise ValueError(msg) + + +def _get_reporting_config( + settings: GraphRagConfig, +) -> PipelineReportingConfigTypes: + """Get the reporting config from the settings.""" + match settings.reporting.type: + case ReportingType.file: + # relative to the root_dir + return PipelineFileReportingConfig(base_dir=settings.reporting.base_dir) + case ReportingType.blob: + connection_string = settings.reporting.connection_string + storage_account_blob_url = settings.reporting.storage_account_blob_url + container_name = settings.reporting.container_name + if container_name is None: + msg = "Container name must be provided for blob reporting." + raise ValueError(msg) + if connection_string is None and storage_account_blob_url is None: + msg = "Connection string or storage account blob url must be provided for blob reporting." + raise ValueError(msg) + return PipelineBlobReportingConfig( + connection_string=connection_string, + container_name=container_name, + base_dir=settings.reporting.base_dir, + storage_account_blob_url=storage_account_blob_url, + ) + case ReportingType.console: + return PipelineConsoleReportingConfig() + case _: + # relative to the root_dir + return PipelineFileReportingConfig(base_dir=settings.reporting.base_dir) + + +def _get_storage_config( + settings: GraphRagConfig, +) -> PipelineStorageConfigTypes: + """Get the storage type from the settings.""" + root_dir = settings.root_dir + match settings.storage.type: + case StorageType.memory: + return PipelineMemoryStorageConfig() + case StorageType.file: + # relative to the root_dir + base_dir = settings.storage.base_dir + if base_dir is None: + msg = "Base directory must be provided for file storage." + raise ValueError(msg) + return PipelineFileStorageConfig(base_dir=str(Path(root_dir) / base_dir)) + case StorageType.blob: + connection_string = settings.storage.connection_string + storage_account_blob_url = settings.storage.storage_account_blob_url + container_name = settings.storage.container_name + if container_name is None: + msg = "Container name must be provided for blob storage." + raise ValueError(msg) + if connection_string is None and storage_account_blob_url is None: + msg = "Connection string or storage account blob url must be provided for blob storage." + raise ValueError(msg) + return PipelineBlobStorageConfig( + connection_string=connection_string, + container_name=container_name, + base_dir=settings.storage.base_dir, + storage_account_blob_url=storage_account_blob_url, + ) + case _: + # relative to the root_dir + base_dir = settings.storage.base_dir + if base_dir is None: + msg = "Base directory must be provided for file storage." + raise ValueError(msg) + return PipelineFileStorageConfig(base_dir=str(Path(root_dir) / base_dir)) + + +def _get_cache_config( + settings: GraphRagConfig, +) -> PipelineCacheConfigTypes: + """Get the cache type from the settings.""" + match settings.cache.type: + case CacheType.memory: + return PipelineMemoryCacheConfig() + case CacheType.file: + # relative to root dir + return PipelineFileCacheConfig(base_dir=settings.cache.base_dir) + case CacheType.none: + return PipelineNoneCacheConfig() + case CacheType.blob: + connection_string = settings.cache.connection_string + storage_account_blob_url = settings.cache.storage_account_blob_url + container_name = settings.cache.container_name + if container_name is None: + msg = "Container name must be provided for blob cache." + raise ValueError(msg) + if connection_string is None and storage_account_blob_url is None: + msg = "Connection string or storage account blob url must be provided for blob cache." + raise ValueError(msg) + return PipelineBlobCacheConfig( + connection_string=connection_string, + container_name=container_name, + base_dir=settings.cache.base_dir, + storage_account_blob_url=storage_account_blob_url, + ) + case _: + # relative to root dir + return PipelineFileCacheConfig(base_dir="./cache") diff --git a/graphrag/index/emit/__init__.py b/graphrag/index/emit/__init__.py new file mode 100644 index 00000000..354989e3 --- /dev/null +++ b/graphrag/index/emit/__init__.py @@ -0,0 +1,21 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Definitions for emitting pipeline artifacts to storage.""" + +from .csv_table_emitter import CSVTableEmitter +from .factories import create_table_emitter, create_table_emitters +from .json_table_emitter import JsonTableEmitter +from .parquet_table_emitter import ParquetTableEmitter +from .table_emitter import TableEmitter +from .types import TableEmitterType + +__all__ = [ + "CSVTableEmitter", + "JsonTableEmitter", + "ParquetTableEmitter", + "TableEmitter", + "TableEmitterType", + "create_table_emitter", + "create_table_emitters", +] diff --git a/graphrag/index/emit/csv_table_emitter.py b/graphrag/index/emit/csv_table_emitter.py new file mode 100644 index 00000000..c0305c25 --- /dev/null +++ b/graphrag/index/emit/csv_table_emitter.py @@ -0,0 +1,33 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""CSVTableEmitter module.""" + +import logging + +import pandas as pd + +from graphrag.index.storage import PipelineStorage + +from .table_emitter import TableEmitter + +log = logging.getLogger(__name__) + + +class CSVTableEmitter(TableEmitter): + """CSVTableEmitter class.""" + + _storage: PipelineStorage + + def __init__(self, storage: PipelineStorage): + """Create a new CSV Table Emitter.""" + self._storage = storage + + async def emit(self, name: str, data: pd.DataFrame) -> None: + """Emit a dataframe to storage.""" + filename = f"{name}.csv" + log.info("emitting CSV table %s", filename) + await self._storage.set( + filename, + data.to_csv(), + ) diff --git a/graphrag/index/emit/factories.py b/graphrag/index/emit/factories.py new file mode 100644 index 00000000..84afa684 --- /dev/null +++ b/graphrag/index/emit/factories.py @@ -0,0 +1,41 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Table Emitter Factories.""" + +from graphrag.index.storage import PipelineStorage +from graphrag.index.typing import ErrorHandlerFn + +from .csv_table_emitter import CSVTableEmitter +from .json_table_emitter import JsonTableEmitter +from .parquet_table_emitter import ParquetTableEmitter +from .table_emitter import TableEmitter +from .types import TableEmitterType + + +def create_table_emitter( + emitter_type: TableEmitterType, storage: PipelineStorage, on_error: ErrorHandlerFn +) -> TableEmitter: + """Create a table emitter based on the specified type.""" + match emitter_type: + case TableEmitterType.Json: + return JsonTableEmitter(storage) + case TableEmitterType.Parquet: + return ParquetTableEmitter(storage, on_error) + case TableEmitterType.CSV: + return CSVTableEmitter(storage) + case _: + msg = f"Unsupported table emitter type: {emitter_type}" + raise ValueError(msg) + + +def create_table_emitters( + emitter_types: list[TableEmitterType], + storage: PipelineStorage, + on_error: ErrorHandlerFn, +) -> list[TableEmitter]: + """Create a list of table emitters based on the specified types.""" + return [ + create_table_emitter(emitter_type, storage, on_error) + for emitter_type in emitter_types + ] diff --git a/graphrag/index/emit/json_table_emitter.py b/graphrag/index/emit/json_table_emitter.py new file mode 100644 index 00000000..0b18c717 --- /dev/null +++ b/graphrag/index/emit/json_table_emitter.py @@ -0,0 +1,34 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""JsonTableEmitter module.""" + +import logging + +import pandas as pd + +from graphrag.index.storage import PipelineStorage + +from .table_emitter import TableEmitter + +log = logging.getLogger(__name__) + + +class JsonTableEmitter(TableEmitter): + """JsonTableEmitter class.""" + + _storage: PipelineStorage + + def __init__(self, storage: PipelineStorage): + """Create a new Json Table Emitter.""" + self._storage = storage + + async def emit(self, name: str, data: pd.DataFrame) -> None: + """Emit a dataframe to storage.""" + filename = f"{name}.json" + + log.info("emitting JSON table %s", filename) + await self._storage.set( + filename, + data.to_json(orient="records", lines=True, force_ascii=False), + ) diff --git a/graphrag/index/emit/parquet_table_emitter.py b/graphrag/index/emit/parquet_table_emitter.py new file mode 100644 index 00000000..753915a7 --- /dev/null +++ b/graphrag/index/emit/parquet_table_emitter.py @@ -0,0 +1,54 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""ParquetTableEmitter module.""" + +import logging +import traceback + +import pandas as pd +from pyarrow.lib import ArrowInvalid, ArrowTypeError + +from graphrag.index.storage import PipelineStorage +from graphrag.index.typing import ErrorHandlerFn + +from .table_emitter import TableEmitter + +log = logging.getLogger(__name__) + + +class ParquetTableEmitter(TableEmitter): + """ParquetTableEmitter class.""" + + _storage: PipelineStorage + _on_error: ErrorHandlerFn + + def __init__( + self, + storage: PipelineStorage, + on_error: ErrorHandlerFn, + ): + """Create a new Parquet Table Emitter.""" + self._storage = storage + self._on_error = on_error + + async def emit(self, name: str, data: pd.DataFrame) -> None: + """Emit a dataframe to storage.""" + filename = f"{name}.parquet" + log.info("emitting parquet table %s", filename) + try: + await self._storage.set(filename, data.to_parquet()) + except ArrowTypeError as e: + log.exception("Error while emitting parquet table") + self._on_error( + e, + traceback.format_exc(), + None, + ) + except ArrowInvalid as e: + log.exception("Error while emitting parquet table") + self._on_error( + e, + traceback.format_exc(), + None, + ) diff --git a/graphrag/index/emit/table_emitter.py b/graphrag/index/emit/table_emitter.py new file mode 100644 index 00000000..2161eeb5 --- /dev/null +++ b/graphrag/index/emit/table_emitter.py @@ -0,0 +1,15 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""TableEmitter protocol for emitting tables to a destination.""" + +from typing import Protocol + +import pandas as pd + + +class TableEmitter(Protocol): + """TableEmitter protocol for emitting tables to a destination.""" + + async def emit(self, name: str, data: pd.DataFrame) -> None: + """Emit a dataframe to storage.""" diff --git a/graphrag/index/emit/types.py b/graphrag/index/emit/types.py new file mode 100644 index 00000000..ab345285 --- /dev/null +++ b/graphrag/index/emit/types.py @@ -0,0 +1,14 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Table Emitter Types.""" + +from enum import Enum + + +class TableEmitterType(str, Enum): + """Table Emitter Types.""" + + Json = "json" + Parquet = "parquet" + CSV = "csv" diff --git a/graphrag/index/errors.py b/graphrag/index/errors.py new file mode 100644 index 00000000..430cf27d --- /dev/null +++ b/graphrag/index/errors.py @@ -0,0 +1,25 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""GraphRAG indexing error types.""" + + +class NoWorkflowsDefinedError(ValueError): + """Exception for no workflows defined.""" + + def __init__(self): + super().__init__("No workflows defined.") + + +class UndefinedWorkflowError(ValueError): + """Exception for invalid verb input.""" + + def __init__(self): + super().__init__("Workflow name is undefined.") + + +class UnknownWorkflowError(ValueError): + """Exception for invalid verb input.""" + + def __init__(self, name: str): + super().__init__(f"Unknown workflow: {name}") diff --git a/graphrag/index/graph/__init__.py b/graphrag/index/graph/__init__.py new file mode 100644 index 00000000..cb26e595 --- /dev/null +++ b/graphrag/index/graph/__init__.py @@ -0,0 +1,4 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine graph package root.""" diff --git a/graphrag/index/graph/embedding/__init__.py b/graphrag/index/graph/embedding/__init__.py new file mode 100644 index 00000000..0ea2d085 --- /dev/null +++ b/graphrag/index/graph/embedding/__init__.py @@ -0,0 +1,8 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine graph embedding package root.""" + +from .embedding import NodeEmbeddings, embed_nod2vec + +__all__ = ["NodeEmbeddings", "embed_nod2vec"] diff --git a/graphrag/index/graph/embedding/embedding.py b/graphrag/index/graph/embedding/embedding.py new file mode 100644 index 00000000..267a190f --- /dev/null +++ b/graphrag/index/graph/embedding/embedding.py @@ -0,0 +1,41 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Utilities to generate graph embeddings.""" + +from dataclasses import dataclass + +import graspologic as gc +import networkx as nx +import numpy as np + + +@dataclass +class NodeEmbeddings: + """Node embeddings class definition.""" + + nodes: list[str] + embeddings: np.ndarray + + +def embed_nod2vec( + graph: nx.Graph | nx.DiGraph, + dimensions: int = 1536, + num_walks: int = 10, + walk_length: int = 40, + window_size: int = 2, + iterations: int = 3, + random_seed: int = 86, +) -> NodeEmbeddings: + """Generate node embeddings using Node2Vec.""" + # generate embedding + lcc_tensors = gc.embed.node2vec_embed( # type: ignore + graph=graph, + dimensions=dimensions, + window_size=window_size, + iterations=iterations, + num_walks=num_walks, + walk_length=walk_length, + random_seed=random_seed, + ) + return NodeEmbeddings(embeddings=lcc_tensors[0], nodes=lcc_tensors[1]) diff --git a/graphrag/index/graph/extractors/__init__.py b/graphrag/index/graph/extractors/__init__.py new file mode 100644 index 00000000..9168d5e2 --- /dev/null +++ b/graphrag/index/graph/extractors/__init__.py @@ -0,0 +1,20 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine graph extractors package root.""" + +from .claims import CLAIM_EXTRACTION_PROMPT, ClaimExtractor +from .community_reports import ( + COMMUNITY_REPORT_PROMPT, + CommunityReportsExtractor, +) +from .graph import GraphExtractionResult, GraphExtractor + +__all__ = [ + "CLAIM_EXTRACTION_PROMPT", + "COMMUNITY_REPORT_PROMPT", + "ClaimExtractor", + "CommunityReportsExtractor", + "GraphExtractionResult", + "GraphExtractor", +] diff --git a/graphrag/index/graph/extractors/claims/__init__.py b/graphrag/index/graph/extractors/claims/__init__.py new file mode 100644 index 00000000..3977c8ff --- /dev/null +++ b/graphrag/index/graph/extractors/claims/__init__.py @@ -0,0 +1,9 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine graph extractors claims package root.""" + +from .claim_extractor import ClaimExtractor +from .prompts import CLAIM_EXTRACTION_PROMPT + +__all__ = ["CLAIM_EXTRACTION_PROMPT", "ClaimExtractor"] diff --git a/graphrag/index/graph/extractors/claims/claim_extractor.py b/graphrag/index/graph/extractors/claims/claim_extractor.py new file mode 100644 index 00000000..26bb6e3f --- /dev/null +++ b/graphrag/index/graph/extractors/claims/claim_extractor.py @@ -0,0 +1,245 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing 'ClaimExtractorResult' and 'ClaimExtractor' models.""" + +import logging +import traceback +from dataclasses import dataclass +from typing import Any + +import tiktoken + +from graphrag.index.typing import ErrorHandlerFn +from graphrag.llm import CompletionLLM + +from .prompts import ( + CLAIM_EXTRACTION_PROMPT, + CONTINUE_PROMPT, + LOOP_PROMPT, +) + +DEFAULT_TUPLE_DELIMITER = "<|>" +DEFAULT_RECORD_DELIMITER = "##" +DEFAULT_COMPLETION_DELIMITER = "<|COMPLETE|>" +log = logging.getLogger(__name__) + + +@dataclass +class ClaimExtractorResult: + """Claim extractor result class definition.""" + + output: list[dict] + source_docs: dict[str, Any] + + +class ClaimExtractor: + """Claim extractor class definition.""" + + _llm: CompletionLLM + _extraction_prompt: str + _summary_prompt: str + _output_formatter_prompt: str + _input_text_key: str + _input_entity_spec_key: str + _input_claim_description_key: str + _tuple_delimiter_key: str + _record_delimiter_key: str + _completion_delimiter_key: str + _max_gleanings: int + _on_error: ErrorHandlerFn + + def __init__( + self, + llm_invoker: CompletionLLM, + extraction_prompt: str | None = None, + input_text_key: str | None = None, + input_entity_spec_key: str | None = None, + input_claim_description_key: str | None = None, + input_resolved_entities_key: str | None = None, + tuple_delimiter_key: str | None = None, + record_delimiter_key: str | None = None, + completion_delimiter_key: str | None = None, + encoding_model: str | None = None, + max_gleanings: int | None = None, + on_error: ErrorHandlerFn | None = None, + ): + """Init method definition.""" + self._llm = llm_invoker + self._extraction_prompt = extraction_prompt or CLAIM_EXTRACTION_PROMPT + self._input_text_key = input_text_key or "input_text" + self._input_entity_spec_key = input_entity_spec_key or "entity_specs" + self._tuple_delimiter_key = tuple_delimiter_key or "tuple_delimiter" + self._record_delimiter_key = record_delimiter_key or "record_delimiter" + self._completion_delimiter_key = ( + completion_delimiter_key or "completion_delimiter" + ) + self._input_claim_description_key = ( + input_claim_description_key or "claim_description" + ) + self._input_resolved_entities_key = ( + input_resolved_entities_key or "resolved_entities" + ) + self._max_gleanings = max_gleanings if max_gleanings is not None else 0 + self._on_error = on_error or (lambda _e, _s, _d: None) + + # Construct the looping arguments + encoding = tiktoken.get_encoding(encoding_model or "cl100k_base") + yes = encoding.encode("YES") + no = encoding.encode("NO") + self._loop_args = {"logit_bias": {yes[0]: 100, no[0]: 100}, "max_tokens": 1} + + async def __call__( + self, inputs: dict[str, Any], prompt_variables: dict | None = None + ) -> ClaimExtractorResult: + """Call method definition.""" + if prompt_variables is None: + prompt_variables = {} + texts = inputs[self._input_text_key] + entity_spec = str(inputs[self._input_entity_spec_key]) + claim_description = inputs[self._input_claim_description_key] + resolved_entities = inputs.get(self._input_resolved_entities_key, {}) + source_doc_map = {} + + prompt_args = { + self._input_entity_spec_key: entity_spec, + self._input_claim_description_key: claim_description, + self._tuple_delimiter_key: prompt_variables.get(self._tuple_delimiter_key) + or DEFAULT_TUPLE_DELIMITER, + self._record_delimiter_key: prompt_variables.get(self._record_delimiter_key) + or DEFAULT_RECORD_DELIMITER, + self._completion_delimiter_key: prompt_variables.get( + self._completion_delimiter_key + ) + or DEFAULT_COMPLETION_DELIMITER, + } + + all_claims: list[dict] = [] + for doc_index, text in enumerate(texts): + document_id = f"d{doc_index}" + try: + claims = await self._process_document(prompt_args, text, doc_index) + all_claims += [ + self._clean_claim(c, document_id, resolved_entities) for c in claims + ] + source_doc_map[document_id] = text + except Exception as e: + log.exception("error extracting claim") + self._on_error( + e, + traceback.format_exc(), + {"doc_index": doc_index, "text": text}, + ) + continue + + return ClaimExtractorResult( + output=all_claims, + source_docs=source_doc_map, + ) + + def _clean_claim( + self, claim: dict, document_id: str, resolved_entities: dict + ) -> dict: + # clean the parsed claims to remove any claims with status = False + obj = claim.get("object_id", claim.get("object")) + subject = claim.get("subject_id", claim.get("subject")) + + # If subject or object in resolved entities, then replace with resolved entity + obj = resolved_entities.get(obj, obj) + subject = resolved_entities.get(subject, subject) + claim["object_id"] = obj + claim["subject_id"] = subject + claim["doc_id"] = document_id + return claim + + async def _process_document( + self, prompt_args: dict, doc, doc_index: int + ) -> list[dict]: + record_delimiter = prompt_args.get( + self._record_delimiter_key, DEFAULT_RECORD_DELIMITER + ) + completion_delimiter = prompt_args.get( + self._completion_delimiter_key, DEFAULT_COMPLETION_DELIMITER + ) + + response = await self._llm( + self._extraction_prompt, + variables={ + self._input_text_key: doc, + **prompt_args, + }, + ) + results = response.output or "" + claims = results.strip().removesuffix(completion_delimiter) + + # Repeat to ensure we maximize entity count + for i in range(self._max_gleanings): + glean_response = await self._llm( + CONTINUE_PROMPT, + name=f"extract-continuation-{i}", + history=response.history or [], + ) + extension = glean_response.output or "" + claims += record_delimiter + extension.strip().removesuffix( + completion_delimiter + ) + + # If this isn't the last loop, check to see if we should continue + if i >= self._max_gleanings - 1: + break + + continue_response = await self._llm( + LOOP_PROMPT, + name=f"extract-loopcheck-{i}", + history=glean_response.history or [], + model_parameters=self._loop_args, + ) + if continue_response.output != "YES": + break + + result = self._parse_claim_tuples(results, prompt_args) + for r in result: + r["doc_id"] = f"{doc_index}" + return result + + def _parse_claim_tuples( + self, claims: str, prompt_variables: dict + ) -> list[dict[str, Any]]: + """Parse claim tuples.""" + record_delimiter = prompt_variables.get( + self._record_delimiter_key, DEFAULT_RECORD_DELIMITER + ) + completion_delimiter = prompt_variables.get( + self._completion_delimiter_key, DEFAULT_COMPLETION_DELIMITER + ) + tuple_delimiter = prompt_variables.get( + self._tuple_delimiter_key, DEFAULT_TUPLE_DELIMITER + ) + + def pull_field(index: int, fields: list[str]) -> str | None: + return fields[index].strip() if len(fields) > index else None + + result: list[dict[str, Any]] = [] + claims_values = ( + claims.strip().removesuffix(completion_delimiter).split(record_delimiter) + ) + for claim in claims_values: + claim = claim.strip().removeprefix("(").removesuffix(")") + + # Ignore the completion delimiter + if claim == completion_delimiter: + continue + + claim_fields = claim.split(tuple_delimiter) + result.append({ + "subject_id": pull_field(0, claim_fields), + "object_id": pull_field(1, claim_fields), + "type": pull_field(2, claim_fields), + "status": pull_field(3, claim_fields), + "start_date": pull_field(4, claim_fields), + "end_date": pull_field(5, claim_fields), + "description": pull_field(6, claim_fields), + "source_text": pull_field(7, claim_fields), + "doc_id": pull_field(8, claim_fields), + }) + return result diff --git a/graphrag/index/graph/extractors/claims/prompts.py b/graphrag/index/graph/extractors/claims/prompts.py new file mode 100644 index 00000000..05b3153c --- /dev/null +++ b/graphrag/index/graph/extractors/claims/prompts.py @@ -0,0 +1,61 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A file containing prompts definition.""" + +CLAIM_EXTRACTION_PROMPT = """ +-Target activity- +You are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document. + +-Goal- +Given a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities. + +-Steps- +1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types. +2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim. +For each claim, extract the following information: +- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1. +- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**. +- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type +- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified. +- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references. +- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**. +- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim. + +Format each claim as ({tuple_delimiter}{tuple_delimiter}{tuple_delimiter}{tuple_delimiter}{tuple_delimiter}{tuple_delimiter}{tuple_delimiter}) + +3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **{record_delimiter}** as the list delimiter. + +4. When finished, output {completion_delimiter} + +-Examples- +Example 1: +Entity specification: organization +Claim description: red flags associated with an entity +Text: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015. +Output: + +(COMPANY A{tuple_delimiter}GOVERNMENT AGENCY B{tuple_delimiter}ANTI-COMPETITIVE PRACTICES{tuple_delimiter}TRUE{tuple_delimiter}2022-01-10T00:00:00{tuple_delimiter}2022-01-10T00:00:00{tuple_delimiter}Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10{tuple_delimiter}According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.) +{completion_delimiter} + +Example 2: +Entity specification: Company A, Person C +Claim description: red flags associated with an entity +Text: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015. +Output: + +(COMPANY A{tuple_delimiter}GOVERNMENT AGENCY B{tuple_delimiter}ANTI-COMPETITIVE PRACTICES{tuple_delimiter}TRUE{tuple_delimiter}2022-01-10T00:00:00{tuple_delimiter}2022-01-10T00:00:00{tuple_delimiter}Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10{tuple_delimiter}According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.) +{record_delimiter} +(PERSON C{tuple_delimiter}NONE{tuple_delimiter}CORRUPTION{tuple_delimiter}SUSPECTED{tuple_delimiter}2015-01-01T00:00:00{tuple_delimiter}2015-12-30T00:00:00{tuple_delimiter}Person C was suspected of engaging in corruption activities in 2015{tuple_delimiter}The company is owned by Person C who was suspected of engaging in corruption activities in 2015) +{completion_delimiter} + +-Real Data- +Use the following input for your answer. +Entity specification: {entity_specs} +Claim description: {claim_description} +Text: {input_text} +Output:""" + + +CONTINUE_PROMPT = "MANY entities were missed in the last extraction. Add them below using the same format:\n" +LOOP_PROMPT = "It appears some entities may have still been missed. Answer YES {tuple_delimiter} NO if there are still entities that need to be added.\n" diff --git a/graphrag/index/graph/extractors/community_reports/__init__.py b/graphrag/index/graph/extractors/community_reports/__init__.py new file mode 100644 index 00000000..599f56d6 --- /dev/null +++ b/graphrag/index/graph/extractors/community_reports/__init__.py @@ -0,0 +1,35 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine community reports package root.""" + +import graphrag.index.graph.extractors.community_reports.schemas as schemas + +from .build_mixed_context import build_mixed_context +from .community_reports_extractor import CommunityReportsExtractor +from .prep_community_report_context import prep_community_report_context +from .prompts import COMMUNITY_REPORT_PROMPT +from .sort_context import sort_context +from .utils import ( + filter_claims_to_nodes, + filter_edges_to_nodes, + filter_nodes_to_level, + get_levels, + set_context_exceeds_flag, + set_context_size, +) + +__all__ = [ + "COMMUNITY_REPORT_PROMPT", + "CommunityReportsExtractor", + "build_mixed_context", + "filter_claims_to_nodes", + "filter_edges_to_nodes", + "filter_nodes_to_level", + "get_levels", + "prep_community_report_context", + "schemas", + "set_context_exceeds_flag", + "set_context_size", + "sort_context", +] diff --git a/graphrag/index/graph/extractors/community_reports/build_mixed_context.py b/graphrag/index/graph/extractors/community_reports/build_mixed_context.py new file mode 100644 index 00000000..ad9e2a84 --- /dev/null +++ b/graphrag/index/graph/extractors/community_reports/build_mixed_context.py @@ -0,0 +1,69 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +"""A module containing the build_mixed_context method definition.""" + +import pandas as pd + +import graphrag.index.graph.extractors.community_reports.schemas as schemas +from graphrag.query.llm.text_utils import num_tokens + +from .sort_context import sort_context + + +def build_mixed_context(context: list[dict], max_tokens: int) -> str: + """ + Build parent context by concatenating all sub-communities' contexts. + + If the context exceeds the limit, we use sub-community reports instead. + """ + sorted_context = sorted( + context, key=lambda x: x[schemas.CONTEXT_SIZE], reverse=True + ) + + # replace local context with sub-community reports, starting from the biggest sub-community + substitute_reports = [] + final_local_contexts = [] + exceeded_limit = True + context_string = "" + + for idx, sub_community_context in enumerate(sorted_context): + if exceeded_limit: + if sub_community_context[schemas.FULL_CONTENT]: + substitute_reports.append({ + schemas.COMMUNITY_ID: sub_community_context[schemas.SUB_COMMUNITY], + schemas.FULL_CONTENT: sub_community_context[schemas.FULL_CONTENT], + }) + else: + # this sub-community has no report, so we will use its local context + final_local_contexts.extend(sub_community_context[schemas.ALL_CONTEXT]) + continue + + # add local context for the remaining sub-communities + remaining_local_context = [] + for rid in range(idx + 1, len(sorted_context)): + remaining_local_context.extend(sorted_context[rid][schemas.ALL_CONTEXT]) + new_context_string = sort_context( + local_context=remaining_local_context + final_local_contexts, + sub_community_reports=substitute_reports, + ) + if num_tokens(new_context_string) <= max_tokens: + exceeded_limit = False + context_string = new_context_string + break + + if exceeded_limit: + # if all sub-community reports exceed the limit, we add reports until context is full + substitute_reports = [] + for sub_community_context in sorted_context: + substitute_reports.append({ + schemas.COMMUNITY_ID: sub_community_context[schemas.SUB_COMMUNITY], + schemas.FULL_CONTENT: sub_community_context[schemas.FULL_CONTENT], + }) + new_context_string = pd.DataFrame(substitute_reports).to_csv( + index=False, sep="," + ) + if num_tokens(new_context_string) > max_tokens: + break + + context_string = new_context_string + return context_string diff --git a/graphrag/index/graph/extractors/community_reports/community_reports_extractor.py b/graphrag/index/graph/extractors/community_reports/community_reports_extractor.py new file mode 100644 index 00000000..309336fe --- /dev/null +++ b/graphrag/index/graph/extractors/community_reports/community_reports_extractor.py @@ -0,0 +1,107 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing 'CommunityReportsResult' and 'CommunityReportsExtractor' models.""" + +import logging +import traceback +from dataclasses import dataclass +from typing import Any + +from graphrag.index.typing import ErrorHandlerFn +from graphrag.index.utils import dict_has_keys_with_types +from graphrag.llm import CompletionLLM + +from .prompts import COMMUNITY_REPORT_PROMPT + +log = logging.getLogger(__name__) + + +@dataclass +class CommunityReportsResult: + """Community reports result class definition.""" + + output: str + structured_output: dict + + +class CommunityReportsExtractor: + """Community reports extractor class definition.""" + + _llm: CompletionLLM + _input_text_key: str + _extraction_prompt: str + _output_formatter_prompt: str + _on_error: ErrorHandlerFn + _max_report_length: int + + def __init__( + self, + llm_invoker: CompletionLLM, + input_text_key: str | None = None, + extraction_prompt: str | None = None, + on_error: ErrorHandlerFn | None = None, + max_report_length: int | None = None, + ): + """Init method definition.""" + self._llm = llm_invoker + self._input_text_key = input_text_key or "input_text" + self._extraction_prompt = extraction_prompt or COMMUNITY_REPORT_PROMPT + self._on_error = on_error or (lambda _e, _s, _d: None) + self._max_report_length = max_report_length or 1500 + + async def __call__(self, inputs: dict[str, Any]): + """Call method definition.""" + output = None + try: + response = ( + await self._llm( + self._extraction_prompt, + json=True, + name="create_community_report", + variables={self._input_text_key: inputs[self._input_text_key]}, + is_response_valid=lambda x: dict_has_keys_with_types( + x, + [ + ("title", str), + ("summary", str), + ("findings", list), + ("rating", float), + ("rating_explanation", str), + ], + ), + model_parameters={"max_tokens": self._max_report_length}, + ) + or {} + ) + output = response.json or {} + except Exception as e: + log.exception("error generating community report") + self._on_error(e, traceback.format_exc(), None) + output = {} + + text_output = self._get_text_output(output) + return CommunityReportsResult( + structured_output=output, + output=text_output, + ) + + def _get_text_output(self, parsed_output: dict) -> str: + title = parsed_output.get("title", "Report") + summary = parsed_output.get("summary", "") + findings = parsed_output.get("findings", []) + + def finding_summary(finding: dict): + if isinstance(finding, str): + return finding + return finding.get("summary") + + def finding_explanation(finding: dict): + if isinstance(finding, str): + return "" + return finding.get("explanation") + + report_sections = "\n\n".join( + f"## {finding_summary(f)}\n\n{finding_explanation(f)}" for f in findings + ) + return f"# {title}\n\n{summary}\n\n{report_sections}" diff --git a/graphrag/index/graph/extractors/community_reports/prep_community_report_context.py b/graphrag/index/graph/extractors/community_reports/prep_community_report_context.py new file mode 100644 index 00000000..2ec42220 --- /dev/null +++ b/graphrag/index/graph/extractors/community_reports/prep_community_report_context.py @@ -0,0 +1,181 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing create_community_reports and load_strategy methods definition.""" + +import logging +from typing import cast + +import pandas as pd + +import graphrag.index.graph.extractors.community_reports.schemas as schemas +from graphrag.index.utils.dataframes import ( + antijoin, + drop_columns, + join, + select, + transform_series, + union, + where_column_equals, +) + +from .build_mixed_context import build_mixed_context +from .sort_context import sort_context +from .utils import set_context_size + +log = logging.getLogger(__name__) + + +def prep_community_report_context( + report_df: pd.DataFrame | None, + community_hierarchy_df: pd.DataFrame, + local_context_df: pd.DataFrame, + level: int | str, + max_tokens: int, +) -> pd.DataFrame: + """ + Prep context for each community in a given level. + + For each community: + - Check if local context fits within the limit, if yes use local context + - If local context exceeds the limit, iteratively replace local context with sub-community reports, starting from the biggest sub-community + """ + if report_df is None: + report_df = pd.DataFrame() + + level = int(level) + level_context_df = _at_level(level, local_context_df) + valid_context_df = _within_context(level_context_df) + invalid_context_df = _exceeding_context(level_context_df) + + # there is no report to substitute with, so we just trim the local context of the invalid context records + # this case should only happen at the bottom level of the community hierarchy where there are no sub-communities + if invalid_context_df.empty: + return valid_context_df + + if report_df.empty: + invalid_context_df[schemas.CONTEXT_STRING] = _sort_and_trim_context( + invalid_context_df, max_tokens + ) + set_context_size(invalid_context_df) + invalid_context_df[schemas.CONTEXT_EXCEED_FLAG] = 0 + return union(valid_context_df, invalid_context_df) + + level_context_df = _antijoin_reports(level_context_df, report_df) + + # for each invalid context, we will try to substitute with sub-community reports + # first get local context and report (if available) for each sub-community + sub_context_df = _get_subcontext_df(level + 1, report_df, local_context_df) + community_df = _get_community_df( + level, invalid_context_df, sub_context_df, community_hierarchy_df, max_tokens + ) + + # handle any remaining invalid records that can't be subsituted with sub-community reports + # this should be rare, but if it happens, we will just trim the local context to fit the limit + remaining_df = _antijoin_reports(invalid_context_df, community_df) + remaining_df[schemas.CONTEXT_STRING] = _sort_and_trim_context( + remaining_df, max_tokens + ) + + result = union(valid_context_df, community_df, remaining_df) + set_context_size(result) + result[schemas.CONTEXT_EXCEED_FLAG] = 0 + return result + + +def _drop_community_level(df: pd.DataFrame) -> pd.DataFrame: + """Drop the community level column from the dataframe.""" + return drop_columns(df, schemas.COMMUNITY_LEVEL) + + +def _at_level(level: int, df: pd.DataFrame) -> pd.DataFrame: + """Return records at the given level.""" + return where_column_equals(df, schemas.COMMUNITY_LEVEL, level) + + +def _exceeding_context(df: pd.DataFrame) -> pd.DataFrame: + """Return records where the context exceeds the limit.""" + return where_column_equals(df, schemas.CONTEXT_EXCEED_FLAG, 1) + + +def _within_context(df: pd.DataFrame) -> pd.DataFrame: + """Return records where the context is within the limit.""" + return where_column_equals(df, schemas.CONTEXT_EXCEED_FLAG, 0) + + +def _antijoin_reports(df: pd.DataFrame, reports: pd.DataFrame) -> pd.DataFrame: + """Return records in df that are not in reports.""" + return antijoin(df, reports, schemas.NODE_COMMUNITY) + + +def _sort_and_trim_context(df: pd.DataFrame, max_tokens: int) -> pd.Series: + """Sort and trim context to fit the limit.""" + series = cast(pd.Series, df[schemas.ALL_CONTEXT]) + return transform_series(series, lambda x: sort_context(x, max_tokens=max_tokens)) + + +def _build_mixed_context(df: pd.DataFrame, max_tokens: int) -> pd.Series: + """Sort and trim context to fit the limit.""" + series = cast(pd.Series, df[schemas.ALL_CONTEXT]) + return transform_series( + series, lambda x: build_mixed_context(x, max_tokens=max_tokens) + ) + + +def _get_subcontext_df( + level: int, report_df: pd.DataFrame, local_context_df: pd.DataFrame +) -> pd.DataFrame: + """Get sub-community context for each community.""" + sub_report_df = _drop_community_level(_at_level(level, report_df)) + sub_context_df = _at_level(level, local_context_df) + sub_context_df = join(sub_context_df, sub_report_df, schemas.NODE_COMMUNITY) + sub_context_df.rename( + columns={schemas.NODE_COMMUNITY: schemas.SUB_COMMUNITY}, inplace=True + ) + return sub_context_df + + +def _get_community_df( + level: int, + invalid_context_df: pd.DataFrame, + sub_context_df: pd.DataFrame, + community_hierarchy_df: pd.DataFrame, + max_tokens: int, +) -> pd.DataFrame: + """Get community context for each community.""" + # collect all sub communities' contexts for each community + community_df = _drop_community_level(_at_level(level, community_hierarchy_df)) + invalid_community_ids = select(invalid_context_df, schemas.NODE_COMMUNITY) + subcontext_selection = select( + sub_context_df, + schemas.SUB_COMMUNITY, + schemas.FULL_CONTENT, + schemas.ALL_CONTEXT, + schemas.CONTEXT_SIZE, + ) + + invalid_communities = join( + community_df, invalid_community_ids, schemas.NODE_COMMUNITY, "inner" + ) + community_df = join( + invalid_communities, subcontext_selection, schemas.SUB_COMMUNITY + ) + community_df[schemas.ALL_CONTEXT] = community_df.apply( + lambda x: { + schemas.SUB_COMMUNITY: x[schemas.SUB_COMMUNITY], + schemas.ALL_CONTEXT: x[schemas.ALL_CONTEXT], + schemas.FULL_CONTENT: x[schemas.FULL_CONTENT], + schemas.CONTEXT_SIZE: x[schemas.CONTEXT_SIZE], + }, + axis=1, + ) + community_df = ( + community_df.groupby(schemas.NODE_COMMUNITY) + .agg({schemas.ALL_CONTEXT: list}) + .reset_index() + ) + community_df[schemas.CONTEXT_STRING] = _build_mixed_context( + community_df, max_tokens + ) + community_df[schemas.COMMUNITY_LEVEL] = level + return community_df diff --git a/graphrag/index/graph/extractors/community_reports/prompts.py b/graphrag/index/graph/extractors/community_reports/prompts.py new file mode 100644 index 00000000..35ca38bc --- /dev/null +++ b/graphrag/index/graph/extractors/community_reports/prompts.py @@ -0,0 +1,150 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +"""A file containing prompts definition.""" + +COMMUNITY_REPORT_PROMPT = """ +You are an AI assistant that helps a human analyst to perform general information discovery. Information discovery is the process of identifying and assessing relevant information associated with certain entities (e.g., organizations and individuals) within a network. + +# Goal +Write a comprehensive report of a community, given a list of entities that belong to the community as well as their relationships and optional associated claims. The report will be used to inform decision-makers about information associated with the community and their potential impact. The content of this report includes an overview of the community's key entities, their legal compliance, technical capabilities, reputation, and noteworthy claims. + +# Report Structure + +The report should include the following sections: + +- TITLE: community's name that represents its key entities - title should be short but specific. When possible, include representative named entities in the title. +- SUMMARY: An executive summary of the community's overall structure, how its entities are related to each other, and significant information associated with its entities. +- IMPACT SEVERITY RATING: a float score between 0-10 that represents the severity of IMPACT posed by entities within the community. IMPACT is the scored importance of a community. +- RATING EXPLANATION: Give a single sentence explanation of the IMPACT severity rating. +- DETAILED FINDINGS: A list of 5-10 key insights about the community. Each insight should have a short summary followed by multiple paragraphs of explanatory text grounded according to the grounding rules below. Be comprehensive. + +Return output as a well-formed JSON-formatted string with the following format: + {{ + "title": , + "summary": , + "rating": , + "rating_explanation": , + "findings": [ + {{ + "summary":, + "explanation": + }}, + {{ + "summary":, + "explanation": + }} + ] + }} + +# Grounding Rules + +Points supported by data should list their data references as follows: + +"This is an example sentence supported by multiple data references [Data: (record ids); (record ids)]." + +Do not list more than 5 record ids in a single reference. Instead, list the top 5 most relevant record ids and add "+more" to indicate that there are more. + +For example: +"Person X is the owner of Company Y and subject to many allegations of wrongdoing [Data: Reports (1), Entities (5, 7); Relationships (23); Claims (7, 2, 34, 64, 46, +more)]." + +where 1, 5, 7, 23, 2, 34, 46, and 64 represent the id (not the index) of the relevant data record. + +Do not include information where the supporting evidence for it is not provided. + + +# Example Input +----------- +Text: + +Entities + +id,entity,description +5,VERDANT OASIS PLAZA,Verdant Oasis Plaza is the location of the Unity March +6,HARMONY ASSEMBLY,Harmony Assembly is an organization that is holding a march at Verdant Oasis Plaza + +Relationships + +id,source,target,description +37,VERDANT OASIS PLAZA,UNITY MARCH,Verdant Oasis Plaza is the location of the Unity March +38,VERDANT OASIS PLAZA,HARMONY ASSEMBLY,Harmony Assembly is holding a march at Verdant Oasis Plaza +39,VERDANT OASIS PLAZA,UNITY MARCH,The Unity March is taking place at Verdant Oasis Plaza +40,VERDANT OASIS PLAZA,TRIBUNE SPOTLIGHT,Tribune Spotlight is reporting on the Unity march taking place at Verdant Oasis Plaza +41,VERDANT OASIS PLAZA,BAILEY ASADI,Bailey Asadi is speaking at Verdant Oasis Plaza about the march +43,HARMONY ASSEMBLY,UNITY MARCH,Harmony Assembly is organizing the Unity March + +Output: +{{ + "title": "Verdant Oasis Plaza and Unity March", + "summary": "The community revolves around the Verdant Oasis Plaza, which is the location of the Unity March. The plaza has relationships with the Harmony Assembly, Unity March, and Tribune Spotlight, all of which are associated with the march event.", + "rating": 5.0, + "rating_explanation": "The impact severity rating is moderate due to the potential for unrest or conflict during the Unity March.", + "findings": [ + {{ + "summary": "Verdant Oasis Plaza as the central location", + "explanation": "Verdant Oasis Plaza is the central entity in this community, serving as the location for the Unity March. This plaza is the common link between all other entities, suggesting its significance in the community. The plaza's association with the march could potentially lead to issues such as public disorder or conflict, depending on the nature of the march and the reactions it provokes. [Data: Entities (5), Relationships (37, 38, 39, 40, 41,+more)]" + }}, + {{ + "summary": "Harmony Assembly's role in the community", + "explanation": "Harmony Assembly is another key entity in this community, being the organizer of the march at Verdant Oasis Plaza. The nature of Harmony Assembly and its march could be a potential source of threat, depending on their objectives and the reactions they provoke. The relationship between Harmony Assembly and the plaza is crucial in understanding the dynamics of this community. [Data: Entities(6), Relationships (38, 43)]" + }}, + {{ + "summary": "Unity March as a significant event", + "explanation": "The Unity March is a significant event taking place at Verdant Oasis Plaza. This event is a key factor in the community's dynamics and could be a potential source of threat, depending on the nature of the march and the reactions it provokes. The relationship between the march and the plaza is crucial in understanding the dynamics of this community. [Data: Relationships (39)]" + }}, + {{ + "summary": "Role of Tribune Spotlight", + "explanation": "Tribune Spotlight is reporting on the Unity March taking place in Verdant Oasis Plaza. This suggests that the event has attracted media attention, which could amplify its impact on the community. The role of Tribune Spotlight could be significant in shaping public perception of the event and the entities involved. [Data: Relationships (40)]" + }} + ] +}} + + +# Real Data + +Use the following text for your answer. Do not make anything up in your answer. + +Text: +{input_text} + +The report should include the following sections: + +- TITLE: community's name that represents its key entities - title should be short but specific. When possible, include representative named entities in the title. +- SUMMARY: An executive summary of the community's overall structure, how its entities are related to each other, and significant information associated with its entities. +- IMPACT SEVERITY RATING: a float score between 0-10 that represents the severity of IMPACT posed by entities within the community. IMPACT is the scored importance of a community. +- RATING EXPLANATION: Give a single sentence explanation of the IMPACT severity rating. +- DETAILED FINDINGS: A list of 5-10 key insights about the community. Each insight should have a short summary followed by multiple paragraphs of explanatory text grounded according to the grounding rules below. Be comprehensive. + +Return output as a well-formed JSON-formatted string with the following format: + {{ + "title": , + "summary": , + "rating": , + "rating_explanation": , + "findings": [ + {{ + "summary":, + "explanation": + }}, + {{ + "summary":, + "explanation": + }} + ] + }} + +# Grounding Rules + +Points supported by data should list their data references as follows: + +"This is an example sentence supported by multiple data references [Data: (record ids); (record ids)]." + +Do not list more than 5 record ids in a single reference. Instead, list the top 5 most relevant record ids and add "+more" to indicate that there are more. + +For example: +"Person X is the owner of Company Y and subject to many allegations of wrongdoing [Data: Reports (1), Entities (5, 7); Relationships (23); Claims (7, 2, 34, 64, 46, +more)]." + +where 1, 5, 7, 23, 2, 34, 46, and 64 represent the id (not the index) of the relevant data record. + +Do not include information where the supporting evidence for it is not provided. + +Output:""" diff --git a/graphrag/index/graph/extractors/community_reports/schemas.py b/graphrag/index/graph/extractors/community_reports/schemas.py new file mode 100644 index 00000000..8e89e027 --- /dev/null +++ b/graphrag/index/graph/extractors/community_reports/schemas.py @@ -0,0 +1,52 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +"""Common field name definitions for community reports.""" + +# POST-PREP NODE TABLE SCHEMA +NODE_ID = "human_readable_id" +NODE_NAME = "title" +NODE_DESCRIPTION = "description" +NODE_DEGREE = "degree" +NODE_DETAILS = "node_details" +NODE_COMMUNITY = "community" +NODE_LEVEL = "level" + +# POST-PREP EDGE TABLE SCHEMA +EDGE_ID = "human_readable_id" +EDGE_SOURCE = "source" +EDGE_TARGET = "target" +EDGE_DESCRIPTION = "description" +EDGE_DEGREE = "rank" +EDGE_DETAILS = "edge_details" +EDGE_WEIGHT = "weight" + +# POST-PREP CLAIM TABLE SCHEMA +CLAIM_ID = "human_readable_id" +CLAIM_SUBJECT = "subject_id" +CLAIM_TYPE = "type" +CLAIM_STATUS = "status" +CLAIM_DESCRIPTION = "description" +CLAIM_DETAILS = "claim_details" + +# COMMUNITY HIERARCHY TABLE SCHEMA +SUB_COMMUNITY = "sub_communitty" +SUB_COMMUNITY_SIZE = "sub_community_size" +COMMUNITY_LEVEL = "level" + +# COMMUNITY CONTEXT TABLE SCHEMA +ALL_CONTEXT = "all_context" +CONTEXT_STRING = "context_string" +CONTEXT_SIZE = "context_size" +CONTEXT_EXCEED_FLAG = "context_exceed_limit" + +# COMMUNITY REPORT TABLE SCHEMA +REPORT_ID = "id" +COMMUNITY_ID = "id" +COMMUNITY_LEVEL = "level" +TITLE = "title" +SUMMARY = "summary" +FINDINGS = "findings" +RATING = "rank" +EXPLANATION = "rating_explanation" +FULL_CONTENT = "full_content" +FULL_CONTENT_JSON = "full_content_json" diff --git a/graphrag/index/graph/extractors/community_reports/sort_context.py b/graphrag/index/graph/extractors/community_reports/sort_context.py new file mode 100644 index 00000000..811cb7e9 --- /dev/null +++ b/graphrag/index/graph/extractors/community_reports/sort_context.py @@ -0,0 +1,156 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +"""Sort context by degree in descending order.""" + +import pandas as pd + +import graphrag.index.graph.extractors.community_reports.schemas as schemas +from graphrag.query.llm.text_utils import num_tokens + + +def sort_context( + local_context: list[dict], + sub_community_reports: list[dict] | None = None, + max_tokens: int | None = None, + node_id_column: str = schemas.NODE_ID, + node_name_column: str = schemas.NODE_NAME, + node_details_column: str = schemas.NODE_DETAILS, + edge_id_column: str = schemas.EDGE_ID, + edge_details_column: str = schemas.EDGE_DETAILS, + edge_degree_column: str = schemas.EDGE_DEGREE, + edge_source_column: str = schemas.EDGE_SOURCE, + edge_target_column: str = schemas.EDGE_TARGET, + claim_id_column: str = schemas.CLAIM_ID, + claim_details_column: str = schemas.CLAIM_DETAILS, + community_id_column: str = schemas.COMMUNITY_ID, +) -> str: + """Sort context by degree in descending order. + + If max tokens is provided, we will return the context string that fits within the token limit. + """ + + def _get_context_string( + entities: list[dict], + edges: list[dict], + claims: list[dict], + sub_community_reports: list[dict] | None = None, + ) -> str: + """Concatenate structured data into a context string.""" + contexts = [] + if sub_community_reports: + sub_community_reports = [ + report + for report in sub_community_reports + if community_id_column in report + and report[community_id_column] + and str(report[community_id_column]).strip() != "" + ] + report_df = pd.DataFrame(sub_community_reports).drop_duplicates() + if not report_df.empty: + if report_df[community_id_column].dtype == float: + report_df[community_id_column] = report_df[ + community_id_column + ].astype(int) + report_string = ( + f"----Reports-----\n{report_df.to_csv(index=False, sep=',')}" + ) + contexts.append(report_string) + + entities = [ + entity + for entity in entities + if node_id_column in entity + and entity[node_id_column] + and str(entity[node_id_column]).strip() != "" + ] + entity_df = pd.DataFrame(entities).drop_duplicates() + if not entity_df.empty: + if entity_df[node_id_column].dtype == float: + entity_df[node_id_column] = entity_df[node_id_column].astype(int) + entity_string = ( + f"-----Entities-----\n{entity_df.to_csv(index=False, sep=',')}" + ) + contexts.append(entity_string) + + if claims and len(claims) > 0: + claims = [ + claim + for claim in claims + if claim_id_column in claim + and claim[claim_id_column] + and str(claim[claim_id_column]).strip() != "" + ] + claim_df = pd.DataFrame(claims).drop_duplicates() + if not claim_df.empty: + if claim_df[claim_id_column].dtype == float: + claim_df[claim_id_column] = claim_df[claim_id_column].astype(int) + claim_string = ( + f"-----Claims-----\n{claim_df.to_csv(index=False, sep=',')}" + ) + contexts.append(claim_string) + + edges = [ + edge + for edge in edges + if edge_id_column in edge + and edge[edge_id_column] + and str(edge[edge_id_column]).strip() != "" + ] + edge_df = pd.DataFrame(edges).drop_duplicates() + if not edge_df.empty: + if edge_df[edge_id_column].dtype == float: + edge_df[edge_id_column] = edge_df[edge_id_column].astype(int) + edge_string = ( + f"-----Relationships-----\n{edge_df.to_csv(index=False, sep=',')}" + ) + contexts.append(edge_string) + + return "\n\n".join(contexts) + + # sort node details by degree in descending order + edges = [] + node_details = {} + claim_details = {} + + for record in local_context: + node_name = record[node_name_column] + record_edges = record.get(edge_details_column, []) + record_edges = [e for e in record_edges if not pd.isna(e)] + record_node_details = record[node_details_column] + record_claims = record.get(claim_details_column, []) + record_claims = [c for c in record_claims if not pd.isna(c)] + + edges.extend(record_edges) + node_details[node_name] = record_node_details + claim_details[node_name] = record_claims + + edges = [edge for edge in edges if isinstance(edge, dict)] + edges = sorted(edges, key=lambda x: x[edge_degree_column], reverse=True) + + sorted_edges = [] + sorted_nodes = [] + sorted_claims = [] + context_string = "" + for edge in edges: + source_details = node_details.get(edge[edge_source_column], {}) + target_details = node_details.get(edge[edge_target_column], {}) + sorted_nodes.extend([source_details, target_details]) + sorted_edges.append(edge) + source_claims = claim_details.get(edge[edge_source_column], []) + target_claims = claim_details.get(edge[edge_target_column], []) + sorted_claims.extend(source_claims if source_claims else []) + sorted_claims.extend(target_claims if source_claims else []) + if max_tokens: + new_context_string = _get_context_string( + sorted_nodes, sorted_edges, sorted_claims, sub_community_reports + ) + if num_tokens(context_string) > max_tokens: + break + context_string = new_context_string + + if context_string == "": + return _get_context_string( + sorted_nodes, sorted_edges, sorted_claims, sub_community_reports + ) + + return context_string diff --git a/graphrag/index/graph/extractors/community_reports/utils.py b/graphrag/index/graph/extractors/community_reports/utils.py new file mode 100644 index 00000000..b5fc9af9 --- /dev/null +++ b/graphrag/index/graph/extractors/community_reports/utils.py @@ -0,0 +1,53 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing community report generation utilities.""" + +from typing import cast + +import pandas as pd + +import graphrag.index.graph.extractors.community_reports.schemas as schemas +from graphrag.query.llm.text_utils import num_tokens + + +def set_context_size(df: pd.DataFrame) -> None: + """Measure the number of tokens in the context.""" + df[schemas.CONTEXT_SIZE] = df[schemas.CONTEXT_STRING].apply(lambda x: num_tokens(x)) + + +def set_context_exceeds_flag(df: pd.DataFrame, max_tokens: int) -> None: + """Set a flag to indicate if the context exceeds the limit.""" + df[schemas.CONTEXT_EXCEED_FLAG] = df[schemas.CONTEXT_SIZE].apply( + lambda x: x > max_tokens + ) + + +def get_levels(df: pd.DataFrame, level_column: str = schemas.NODE_LEVEL) -> list[int]: + """Get the levels of the communities.""" + result = sorted(df[level_column].fillna(-1).unique().tolist(), reverse=True) + return [r for r in result if r != -1] + + +def filter_nodes_to_level(node_df: pd.DataFrame, level: int) -> pd.DataFrame: + """Filter nodes to level.""" + return cast(pd.DataFrame, node_df[node_df[schemas.NODE_LEVEL] == level]) + + +def filter_edges_to_nodes(edge_df: pd.DataFrame, nodes: list[str]) -> pd.DataFrame: + """Filter edges to nodes.""" + return cast( + pd.DataFrame, + edge_df[ + edge_df[schemas.EDGE_SOURCE].isin(nodes) + & edge_df[schemas.EDGE_TARGET].isin(nodes) + ], + ) + + +def filter_claims_to_nodes(claims_df: pd.DataFrame, nodes: list[str]) -> pd.DataFrame: + """Filter edges to nodes.""" + return cast( + pd.DataFrame, + claims_df[claims_df[schemas.CLAIM_SUBJECT].isin(nodes)], + ) diff --git a/graphrag/index/graph/extractors/graph/__init__.py b/graphrag/index/graph/extractors/graph/__init__.py new file mode 100644 index 00000000..94e03ab9 --- /dev/null +++ b/graphrag/index/graph/extractors/graph/__init__.py @@ -0,0 +1,18 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine unipartite graph package root.""" + +from .graph_extractor import ( + DEFAULT_ENTITY_TYPES, + GraphExtractionResult, + GraphExtractor, +) +from .prompts import GRAPH_EXTRACTION_PROMPT + +__all__ = [ + "DEFAULT_ENTITY_TYPES", + "GRAPH_EXTRACTION_PROMPT", + "GraphExtractionResult", + "GraphExtractor", +] diff --git a/graphrag/index/graph/extractors/graph/graph_extractor.py b/graphrag/index/graph/extractors/graph/graph_extractor.py new file mode 100644 index 00000000..ccd2b729 --- /dev/null +++ b/graphrag/index/graph/extractors/graph/graph_extractor.py @@ -0,0 +1,300 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing 'GraphExtractionResult' and 'GraphExtractor' models.""" + +import logging +import numbers +import re +import traceback +from collections.abc import Mapping +from dataclasses import dataclass +from typing import Any + +import networkx as nx +import tiktoken + +from graphrag.index.typing import ErrorHandlerFn +from graphrag.index.utils import clean_str +from graphrag.llm import CompletionLLM + +from .prompts import CONTINUE_PROMPT, GRAPH_EXTRACTION_PROMPT, LOOP_PROMPT + +DEFAULT_TUPLE_DELIMITER = "<|>" +DEFAULT_RECORD_DELIMITER = "##" +DEFAULT_COMPLETION_DELIMITER = "<|COMPLETE|>" +DEFAULT_ENTITY_TYPES = ["organization", "person", "geo", "event"] + + +@dataclass +class GraphExtractionResult: + """Unipartite graph extraction result class definition.""" + + output: nx.Graph + source_docs: dict[Any, Any] + + +class GraphExtractor: + """Unipartite graph extractor class definition.""" + + _llm: CompletionLLM + _join_descriptions: bool + _tuple_delimiter_key: str + _record_delimiter_key: str + _entity_types_key: str + _input_text_key: str + _completion_delimiter_key: str + _entity_name_key: str + _input_descriptions_key: str + _extraction_prompt: str + _summarization_prompt: str + _loop_args: dict[str, Any] + _max_gleanings: int + _on_error: ErrorHandlerFn + + def __init__( + self, + llm_invoker: CompletionLLM, + tuple_delimiter_key: str | None = None, + record_delimiter_key: str | None = None, + input_text_key: str | None = None, + entity_types_key: str | None = None, + completion_delimiter_key: str | None = None, + prompt: str | None = None, + join_descriptions=True, + encoding_model: str | None = None, + max_gleanings: int | None = None, + on_error: ErrorHandlerFn | None = None, + ): + """Init method definition.""" + # TODO: streamline construction + self._llm = llm_invoker + self._join_descriptions = join_descriptions + self._input_text_key = input_text_key or "input_text" + self._tuple_delimiter_key = tuple_delimiter_key or "tuple_delimiter" + self._record_delimiter_key = record_delimiter_key or "record_delimiter" + self._completion_delimiter_key = ( + completion_delimiter_key or "completion_delimiter" + ) + self._entity_types_key = entity_types_key or "entity_types" + self._extraction_prompt = prompt or GRAPH_EXTRACTION_PROMPT + self._max_gleanings = max_gleanings if max_gleanings is not None else 0 + self._on_error = on_error or (lambda _e, _s, _d: None) + + # Construct the looping arguments + encoding = tiktoken.get_encoding(encoding_model or "cl100k_base") + yes = encoding.encode("YES") + no = encoding.encode("NO") + self._loop_args = {"logit_bias": {yes[0]: 100, no[0]: 100}, "max_tokens": 1} + + async def __call__( + self, texts: list[str], prompt_variables: dict[str, Any] | None = None + ) -> GraphExtractionResult: + """Call method definition.""" + if prompt_variables is None: + prompt_variables = {} + all_records: dict[int, str] = {} + source_doc_map: dict[int, str] = {} + + # Wire defaults into the prompt variables + prompt_variables = { + **prompt_variables, + self._tuple_delimiter_key: prompt_variables.get(self._tuple_delimiter_key) + or DEFAULT_TUPLE_DELIMITER, + self._record_delimiter_key: prompt_variables.get(self._record_delimiter_key) + or DEFAULT_RECORD_DELIMITER, + self._completion_delimiter_key: prompt_variables.get( + self._completion_delimiter_key + ) + or DEFAULT_COMPLETION_DELIMITER, + self._entity_types_key: ",".join( + prompt_variables[self._entity_types_key] or DEFAULT_ENTITY_TYPES + ), + } + + for doc_index, text in enumerate(texts): + try: + # Invoke the entity extraction + result = await self._process_document(text, prompt_variables) + source_doc_map[doc_index] = text + all_records[doc_index] = result + except Exception as e: + logging.exception("error extracting graph") + self._on_error( + e, + traceback.format_exc(), + { + "doc_index": doc_index, + "text": text, + }, + ) + + output = await self._process_results( + all_records, + prompt_variables.get(self._tuple_delimiter_key, DEFAULT_TUPLE_DELIMITER), + prompt_variables.get(self._record_delimiter_key, DEFAULT_RECORD_DELIMITER), + ) + + return GraphExtractionResult( + output=output, + source_docs=source_doc_map, + ) + + async def _process_document( + self, text: str, prompt_variables: dict[str, str] + ) -> str: + response = await self._llm( + self._extraction_prompt, + variables={ + **prompt_variables, + self._input_text_key: text, + }, + ) + results = response.output or "" + + # Repeat to ensure we maximize entity count + for i in range(self._max_gleanings): + glean_response = await self._llm( + CONTINUE_PROMPT, + name=f"extract-continuation-{i}", + history=response.history or [], + ) + results += glean_response.output or "" + + # if this is the final glean, don't bother updating the continuation flag + if i >= self._max_gleanings - 1: + break + + continuation = await self._llm( + LOOP_PROMPT, + name=f"extract-loopcheck-{i}", + history=glean_response.history or [], + model_parameters=self._loop_args, + ) + if continuation.output != "YES": + break + + return results + + async def _process_results( + self, + results: dict[int, str], + tuple_delimiter: str, + record_delimiter: str, + ) -> nx.Graph: + """Parse the result string to create an undirected unipartite graph. + + Args: + - results - dict of results from the extraction chain + - tuple_delimiter - delimiter between tuples in an output record, default is '<|>' + - record_delimiter - delimiter between records, default is '##' + Returns: + - output - unipartite graph in graphML format + """ + graph = nx.Graph() + for source_doc_id, extracted_data in results.items(): + records = [r.strip() for r in extracted_data.split(record_delimiter)] + + for record in records: + record = re.sub(r"^\(|\)$", "", record.strip()) + record_attributes = record.split(tuple_delimiter) + + if record_attributes[0] == '"entity"' and len(record_attributes) >= 4: + # add this record as a node in the G + entity_name = clean_str(record_attributes[1].upper()) + entity_type = clean_str(record_attributes[2].upper()) + entity_description = clean_str(record_attributes[3]) + + if entity_name in graph.nodes(): + node = graph.nodes[entity_name] + if self._join_descriptions: + node["description"] = "\n".join( + list({ + *_unpack_descriptions(node), + entity_description, + }) + ) + else: + if len(entity_description) > len(node["description"]): + node["description"] = entity_description + node["source_id"] = ", ".join( + list({ + *_unpack_source_ids(node), + str(source_doc_id), + }) + ) + node["entity_type"] = ( + entity_type if entity_type != "" else node["entity_type"] + ) + else: + graph.add_node( + entity_name, + type=entity_type, + description=entity_description, + source_id=str(source_doc_id), + ) + + if ( + record_attributes[0] == '"relationship"' + and len(record_attributes) >= 5 + ): + # add this record as edge + source = clean_str(record_attributes[1].upper()) + target = clean_str(record_attributes[2].upper()) + edge_description = clean_str(record_attributes[3]) + edge_source_id = clean_str(str(source_doc_id)) + weight = ( + float(record_attributes[-1]) + if isinstance(record_attributes[-1], numbers.Number) + else 1.0 + ) + if source not in graph.nodes(): + graph.add_node( + source, + type="", + description="", + source_id=edge_source_id, + ) + if target not in graph.nodes(): + graph.add_node( + target, + type="", + description="", + source_id=edge_source_id, + ) + if graph.has_edge(source, target): + edge_data = graph.get_edge_data(source, target) + if edge_data is not None: + weight += edge_data["weight"] + if self._join_descriptions: + edge_description = "\n".join( + list({ + *_unpack_descriptions(edge_data), + edge_description, + }) + ) + edge_source_id = ", ".join( + list({ + *_unpack_source_ids(edge_data), + str(source_doc_id), + }) + ) + graph.add_edge( + source, + target, + weight=weight, + description=edge_description, + source_id=edge_source_id, + ) + + return graph + + +def _unpack_descriptions(data: Mapping) -> list[str]: + value = data.get("description", None) + return [] if value is None else value.split("\n") + + +def _unpack_source_ids(data: Mapping) -> list[str]: + value = data.get("source_id", None) + return [] if value is None else value.split(", ") diff --git a/graphrag/index/graph/extractors/graph/prompts.py b/graphrag/index/graph/extractors/graph/prompts.py new file mode 100644 index 00000000..0cc53bec --- /dev/null +++ b/graphrag/index/graph/extractors/graph/prompts.py @@ -0,0 +1,107 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A file containing prompts definition.""" + +GRAPH_EXTRACTION_PROMPT = """ +-Goal- +Given a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities. + +-Steps- +1. Identify all entities. For each identified entity, extract the following information: +- entity_name: Name of the entity, capitalized +- entity_type: One of the following types: [{entity_types}] +- entity_description: Comprehensive description of the entity's attributes and activities +Format each entity as ("entity"{tuple_delimiter}{tuple_delimiter}{tuple_delimiter} + +2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other. +For each pair of related entities, extract the following information: +- source_entity: name of the source entity, as identified in step 1 +- target_entity: name of the target entity, as identified in step 1 +- relationship_description: explanation as to why you think the source entity and the target entity are related to each other +- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity + Format each relationship as ("relationship"{tuple_delimiter}{tuple_delimiter}{tuple_delimiter}{tuple_delimiter}) + +3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **{record_delimiter}** as the list delimiter. + +4. When finished, output {completion_delimiter} + +###################### +-Examples- +###################### +Example 1: + +Entity_types: [person, technology, mission, organization, location] +Text: +while Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order. + +Then Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.” + +The underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce. + +It was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths +################ +Output: +("entity"{tuple_delimiter}"Alex"{tuple_delimiter}"person"{tuple_delimiter}"Alex is a character who experiences frustration and is observant of the dynamics among other characters."){record_delimiter} +("entity"{tuple_delimiter}"Taylor"{tuple_delimiter}"person"{tuple_delimiter}"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective."){record_delimiter} +("entity"{tuple_delimiter}"Jordan"{tuple_delimiter}"person"{tuple_delimiter}"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device."){record_delimiter} +("entity"{tuple_delimiter}"Cruz"{tuple_delimiter}"person"{tuple_delimiter}"Cruz is associated with a vision of control and order, influencing the dynamics among other characters."){record_delimiter} +("entity"{tuple_delimiter}"The Device"{tuple_delimiter}"technology"{tuple_delimiter}"The Device is central to the story, with potential game-changing implications, and is revered by Taylor."){record_delimiter} +("relationship"{tuple_delimiter}"Alex"{tuple_delimiter}"Taylor"{tuple_delimiter}"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device."{tuple_delimiter}7){record_delimiter} +("relationship"{tuple_delimiter}"Alex"{tuple_delimiter}"Jordan"{tuple_delimiter}"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision."{tuple_delimiter}6){record_delimiter} +("relationship"{tuple_delimiter}"Taylor"{tuple_delimiter}"Jordan"{tuple_delimiter}"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."{tuple_delimiter}8){record_delimiter} +("relationship"{tuple_delimiter}"Jordan"{tuple_delimiter}"Cruz"{tuple_delimiter}"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order."{tuple_delimiter}5){record_delimiter} +("relationship"{tuple_delimiter}"Taylor"{tuple_delimiter}"The Device"{tuple_delimiter}"Taylor shows reverence towards the device, indicating its importance and potential impact."{tuple_delimiter}9){completion_delimiter} +############################# +Example 2: + +Entity_types: [person, technology, mission, organization, location] +Text: +They were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve. + +Tension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril. + +Their connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence— the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly +############# +Output: +("entity"{tuple_delimiter}"Washington"{tuple_delimiter}"location"{tuple_delimiter}"Washington is a location where communications are being received, indicating its importance in the decision-making process."){record_delimiter} +("entity"{tuple_delimiter}"Operation: Dulce"{tuple_delimiter}"mission"{tuple_delimiter}"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities."){record_delimiter} +("entity"{tuple_delimiter}"The team"{tuple_delimiter}"organization"{tuple_delimiter}"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role."){record_delimiter} +("relationship"{tuple_delimiter}"The team"{tuple_delimiter}"Washington"{tuple_delimiter}"The team receives communications from Washington, which influences their decision-making process."{tuple_delimiter}7){record_delimiter} +("relationship"{tuple_delimiter}"The team"{tuple_delimiter}"Operation: Dulce"{tuple_delimiter}"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."{tuple_delimiter}9){completion_delimiter} +############################# +Example 3: + +Entity_types: [person, role, technology, organization, event, location, concept] +Text: +their voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data. + +"It's like it's learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers' a whole new meaning." + +Alex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back." + +Together, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history. + +The encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation +############# +Output: +("entity"{tuple_delimiter}"Sam Rivera"{tuple_delimiter}"person"{tuple_delimiter}"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety."){record_delimiter} +("entity"{tuple_delimiter}"Alex"{tuple_delimiter}"person"{tuple_delimiter}"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task."){record_delimiter} +("entity"{tuple_delimiter}"Control"{tuple_delimiter}"concept"{tuple_delimiter}"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules."){record_delimiter} +("entity"{tuple_delimiter}"Intelligence"{tuple_delimiter}"concept"{tuple_delimiter}"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate."){record_delimiter} +("entity"{tuple_delimiter}"First Contact"{tuple_delimiter}"event"{tuple_delimiter}"First Contact is the potential initial communication between humanity and an unknown intelligence."){record_delimiter} +("entity"{tuple_delimiter}"Humanity's Response"{tuple_delimiter}"event"{tuple_delimiter}"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence."){record_delimiter} +("relationship"{tuple_delimiter}"Sam Rivera"{tuple_delimiter}"Intelligence"{tuple_delimiter}"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."{tuple_delimiter}9){record_delimiter} +("relationship"{tuple_delimiter}"Alex"{tuple_delimiter}"First Contact"{tuple_delimiter}"Alex leads the team that might be making the First Contact with the unknown intelligence."{tuple_delimiter}10){record_delimiter} +("relationship"{tuple_delimiter}"Alex"{tuple_delimiter}"Humanity's Response"{tuple_delimiter}"Alex and his team are the key figures in Humanity's Response to the unknown intelligence."{tuple_delimiter}8){record_delimiter} +("relationship"{tuple_delimiter}"Control"{tuple_delimiter}"Intelligence"{tuple_delimiter}"The concept of Control is challenged by the Intelligence that writes its own rules."{tuple_delimiter}7){completion_delimiter} +############################# +-Real Data- +###################### +Entity_types: {entity_types} +Text: {input_text} +###################### +Output:""" + +CONTINUE_PROMPT = "MANY entities were missed in the last extraction. Add them below using the same format:\n" +LOOP_PROMPT = "It appears some entities may have still been missed. Answer YES | NO if there are still entities that need to be added.\n" diff --git a/graphrag/index/graph/extractors/summarize/__init__.py b/graphrag/index/graph/extractors/summarize/__init__.py new file mode 100644 index 00000000..b4bfe5be --- /dev/null +++ b/graphrag/index/graph/extractors/summarize/__init__.py @@ -0,0 +1,12 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine unipartite graph package root.""" + +from .description_summary_extractor import ( + SummarizationResult, + SummarizeExtractor, +) +from .prompts import SUMMARIZE_PROMPT + +__all__ = ["SUMMARIZE_PROMPT", "SummarizationResult", "SummarizeExtractor"] diff --git a/graphrag/index/graph/extractors/summarize/description_summary_extractor.py b/graphrag/index/graph/extractors/summarize/description_summary_extractor.py new file mode 100644 index 00000000..76d77202 --- /dev/null +++ b/graphrag/index/graph/extractors/summarize/description_summary_extractor.py @@ -0,0 +1,135 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing 'GraphExtractionResult' and 'GraphExtractor' models.""" + +import json +from dataclasses import dataclass + +from graphrag.index.typing import ErrorHandlerFn +from graphrag.index.utils.tokens import num_tokens_from_string +from graphrag.llm import CompletionLLM + +from .prompts import SUMMARIZE_PROMPT + +# Max token size for input prompts +DEFAULT_MAX_INPUT_TOKENS = 4_000 +# Max token count for LLM answers +DEFAULT_MAX_SUMMARY_LENGTH = 500 + + +@dataclass +class SummarizationResult: + """Unipartite graph extraction result class definition.""" + + items: str | tuple[str, str] + description: str + + +class SummarizeExtractor: + """Unipartite graph extractor class definition.""" + + _llm: CompletionLLM + _entity_name_key: str + _input_descriptions_key: str + _summarization_prompt: str + _on_error: ErrorHandlerFn + _max_summary_length: int + _max_input_tokens: int + + def __init__( + self, + llm_invoker: CompletionLLM, + entity_name_key: str | None = None, + input_descriptions_key: str | None = None, + summarization_prompt: str | None = None, + on_error: ErrorHandlerFn | None = None, + max_summary_length: int | None = None, + max_input_tokens: int | None = None, + ): + """Init method definition.""" + # TODO: streamline construction + self._llm = llm_invoker + self._entity_name_key = entity_name_key or "entity_name" + self._input_descriptions_key = input_descriptions_key or "description_list" + + self._summarization_prompt = summarization_prompt or SUMMARIZE_PROMPT + self._on_error = on_error or (lambda _e, _s, _d: None) + self._max_summary_length = max_summary_length or DEFAULT_MAX_SUMMARY_LENGTH + self._max_input_tokens = max_input_tokens or DEFAULT_MAX_INPUT_TOKENS + + async def __call__( + self, + items: str | tuple[str, str], + descriptions: list[str], + ) -> SummarizationResult: + """Call method definition.""" + result = "" + if len(descriptions) == 0: + result = "" + if len(descriptions) == 1: + result = descriptions[0] + else: + result = await self._summarize_descriptions(items, descriptions) + + return SummarizationResult( + items=items, + description=result or "", + ) + + async def _summarize_descriptions( + self, items: str | tuple[str, str], descriptions: list[str] + ) -> str: + """Summarize descriptions into a single description.""" + sorted_items = sorted(items) if isinstance(items, list) else items + + # Safety check, should always be a list + if not isinstance(descriptions, list): + descriptions = [descriptions] + + # Iterate over descriptions, adding all until the max input tokens is reached + usable_tokens = self._max_input_tokens - num_tokens_from_string( + self._summarization_prompt + ) + descriptions_collected = [] + result = "" + + for i, description in enumerate(descriptions): + usable_tokens -= num_tokens_from_string(description) + descriptions_collected.append(description) + + # If buffer is full, or all descriptions have been added, summarize + if (usable_tokens < 0 and len(descriptions_collected) > 1) or ( + i == len(descriptions) - 1 + ): + # Calculate result (final or partial) + result = await self._summarize_descriptions_with_llm( + sorted_items, descriptions_collected + ) + + # If we go for another loop, reset values to new + if i != len(descriptions) - 1: + descriptions_collected = [result] + usable_tokens = ( + self._max_input_tokens + - num_tokens_from_string(self._summarization_prompt) + - num_tokens_from_string(result) + ) + + return result + + async def _summarize_descriptions_with_llm( + self, items: str | tuple[str, str] | list[str], descriptions: list[str] + ): + """Summarize descriptions using the LLM.""" + response = await self._llm( + self._summarization_prompt, + name="summarize", + variables={ + self._entity_name_key: json.dumps(items), + self._input_descriptions_key: json.dumps(sorted(descriptions)), + }, + model_parameters={"max_tokens": self._max_summary_length}, + ) + # Calculate result + return str(response.output) diff --git a/graphrag/index/graph/extractors/summarize/prompts.py b/graphrag/index/graph/extractors/summarize/prompts.py new file mode 100644 index 00000000..90e4434e --- /dev/null +++ b/graphrag/index/graph/extractors/summarize/prompts.py @@ -0,0 +1,19 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A file containing prompts definition.""" + +SUMMARIZE_PROMPT = """ +You are a helpful assistant responsible for generating a comprehensive summary of the data provided below. +Given one or two entities, and a list of descriptions, all related to the same entity or group of entities. +Please concatenate all of these into a single, comprehensive description. Make sure to include information collected from all the descriptions. +If the provided descriptions are contradictory, please resolve the contradictions and provide a single, coherent summary. +Make sure it is written in third person, and include the entity names so we the have full context. + +####### +-Data- +Entities: {entity_name} +Description List: {description_list} +####### +Output: +""" diff --git a/graphrag/index/graph/utils/__init__.py b/graphrag/index/graph/utils/__init__.py new file mode 100644 index 00000000..6d447928 --- /dev/null +++ b/graphrag/index/graph/utils/__init__.py @@ -0,0 +1,9 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine graph utils package root.""" + +from .normalize_node_names import normalize_node_names +from .stable_lcc import stable_largest_connected_component + +__all__ = ["normalize_node_names", "stable_largest_connected_component"] diff --git a/graphrag/index/graph/utils/normalize_node_names.py b/graphrag/index/graph/utils/normalize_node_names.py new file mode 100644 index 00000000..bcc874a9 --- /dev/null +++ b/graphrag/index/graph/utils/normalize_node_names.py @@ -0,0 +1,14 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing normalize_node_names method definition.""" + +import html + +import networkx as nx + + +def normalize_node_names(graph: nx.Graph | nx.DiGraph) -> nx.Graph | nx.DiGraph: + """Normalize node names.""" + node_mapping = {node: html.unescape(node.upper().strip()) for node in graph.nodes()} # type: ignore + return nx.relabel_nodes(graph, node_mapping) diff --git a/graphrag/index/graph/utils/stable_lcc.py b/graphrag/index/graph/utils/stable_lcc.py new file mode 100644 index 00000000..7d602a6b --- /dev/null +++ b/graphrag/index/graph/utils/stable_lcc.py @@ -0,0 +1,60 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module for producing a stable largest connected component, i.e. same input graph == same output lcc.""" + +from typing import Any, cast + +import networkx as nx +from graspologic.utils import largest_connected_component + +from .normalize_node_names import normalize_node_names + + +def stable_largest_connected_component(graph: nx.Graph) -> nx.Graph: + """Return the largest connected component of the graph, with nodes and edges sorted in a stable way.""" + graph = graph.copy() + graph = cast(nx.Graph, largest_connected_component(graph)) + graph = normalize_node_names(graph) + return _stabilize_graph(graph) + + +def _stabilize_graph(graph: nx.Graph) -> nx.Graph: + """Ensure an undirected graph with the same relationships will always be read the same way.""" + fixed_graph = nx.DiGraph() if graph.is_directed() else nx.Graph() + + sorted_nodes = graph.nodes(data=True) + sorted_nodes = sorted(sorted_nodes, key=lambda x: x[0]) + + fixed_graph.add_nodes_from(sorted_nodes) + edges = list(graph.edges(data=True)) + + # If the graph is undirected, we create the edges in a stable way, so we get the same results + # for example: + # A -> B + # in graph theory is the same as + # B -> A + # in an undirected graph + # however, this can lead to downstream issues because sometimes + # consumers read graph.nodes() which ends up being [A, B] and sometimes it's [B, A] + # but they base some of their logic on the order of the nodes, so the order ends up being important + # so we sort the nodes in the edge in a stable way, so that we always get the same order + if not graph.is_directed(): + + def _sort_source_target(edge): + source, target, edge_data = edge + if source > target: + temp = source + source = target + target = temp + return source, target, edge_data + + edges = [_sort_source_target(edge) for edge in edges] + + def _get_edge_key(source: Any, target: Any) -> str: + return f"{source} -> {target}" + + edges = sorted(edges, key=lambda x: _get_edge_key(x[0], x[1])) + + fixed_graph.add_edges_from(edges) + return fixed_graph diff --git a/graphrag/index/graph/visualization/__init__.py b/graphrag/index/graph/visualization/__init__.py new file mode 100644 index 00000000..f7780e4e --- /dev/null +++ b/graphrag/index/graph/visualization/__init__.py @@ -0,0 +1,14 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine graph visualization package root.""" + +from .compute_umap_positions import compute_umap_positions, get_zero_positions +from .typing import GraphLayout, NodePosition + +__all__ = [ + "GraphLayout", + "NodePosition", + "compute_umap_positions", + "get_zero_positions", +] diff --git a/graphrag/index/graph/visualization/compute_umap_positions.py b/graphrag/index/graph/visualization/compute_umap_positions.py new file mode 100644 index 00000000..569b7b30 --- /dev/null +++ b/graphrag/index/graph/visualization/compute_umap_positions.py @@ -0,0 +1,144 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing compute_umap_positions and visualize_embedding method definition.""" + +import graspologic as gc +import matplotlib.pyplot as plt +import networkx as nx +import numpy as np +import umap + +from .typing import NodePosition + + +def get_zero_positions( + node_labels: list[str], + node_categories: list[int] | None = None, + node_sizes: list[int] | None = None, + three_d: bool | None = False, +) -> list[NodePosition]: + """Project embedding vectors down to 2D/3D using UMAP.""" + embedding_position_data: list[NodePosition] = [] + for index, node_name in enumerate(node_labels): + node_category = 1 if node_categories is None else node_categories[index] + node_size = 1 if node_sizes is None else node_sizes[index] + + if not three_d: + embedding_position_data.append( + NodePosition( + label=str(node_name), + x=0, + y=0, + cluster=str(int(node_category)), + size=int(node_size), + ) + ) + else: + embedding_position_data.append( + NodePosition( + label=str(node_name), + x=0, + y=0, + z=0, + cluster=str(int(node_category)), + size=int(node_size), + ) + ) + return embedding_position_data + + +def compute_umap_positions( + embedding_vectors: np.ndarray, + node_labels: list[str], + node_categories: list[int] | None = None, + node_sizes: list[int] | None = None, + min_dist: float = 0.75, + n_neighbors: int = 25, + spread: int = 1, + metric: str = "euclidean", + n_components: int = 2, + random_state: int = 86, +) -> list[NodePosition]: + """Project embedding vectors down to 2D/3D using UMAP.""" + embedding_positions = umap.UMAP( + min_dist=min_dist, + n_neighbors=n_neighbors, + spread=spread, + n_components=n_components, + metric=metric, + random_state=random_state, + ).fit_transform(embedding_vectors) + + embedding_position_data: list[NodePosition] = [] + for index, node_name in enumerate(node_labels): + node_points = embedding_positions[index] # type: ignore + node_category = 1 if node_categories is None else node_categories[index] + node_size = 1 if node_sizes is None else node_sizes[index] + + if len(node_points) == 2: + embedding_position_data.append( + NodePosition( + label=str(node_name), + x=float(node_points[0]), + y=float(node_points[1]), + cluster=str(int(node_category)), + size=int(node_size), + ) + ) + else: + embedding_position_data.append( + NodePosition( + label=str(node_name), + x=float(node_points[0]), + y=float(node_points[1]), + z=float(node_points[2]), + cluster=str(int(node_category)), + size=int(node_size), + ) + ) + return embedding_position_data + + +def visualize_embedding( + graph, + umap_positions: list[dict], +): + """Project embedding down to 2D using UMAP and visualize.""" + # rendering + plt.clf() + figure = plt.gcf() + ax = plt.gca() + + ax.set_axis_off() + figure.set_size_inches(10, 10) + figure.set_dpi(400) + + node_position_dict = { + (str)(position["label"]): (position["x"], position["y"]) + for position in umap_positions + } + node_category_dict = { + (str)(position["label"]): position["category"] for position in umap_positions + } + node_sizes = [position["size"] for position in umap_positions] + node_colors = gc.layouts.categorical_colors(node_category_dict) # type: ignore + + vertices = [] + node_color_list = [] + for node in node_position_dict: + vertices.append(node) + node_color_list.append(node_colors[node]) + + nx.draw_networkx_nodes( + graph, + pos=node_position_dict, + nodelist=vertices, + node_color=node_color_list, # type: ignore + alpha=1.0, + linewidths=0.01, + node_size=node_sizes, # type: ignore + node_shape="o", + ax=ax, + ) + plt.show() diff --git a/graphrag/index/graph/visualization/typing.py b/graphrag/index/graph/visualization/typing.py new file mode 100644 index 00000000..ae46afa9 --- /dev/null +++ b/graphrag/index/graph/visualization/typing.py @@ -0,0 +1,27 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +# Use this for now instead of a wrapper +"""A module containing 'NodePosition' model.""" + +from dataclasses import dataclass + + +@dataclass +class NodePosition: + """Node position class definition.""" + + label: str + cluster: str + size: float + + x: float + y: float + z: float | None = None + + def to_pandas(self) -> tuple[str, float, float, str, float]: + """To pandas method definition.""" + return self.label, self.x, self.y, self.cluster, self.size + + +GraphLayout = list[NodePosition] diff --git a/graphrag/index/init_content.py b/graphrag/index/init_content.py new file mode 100644 index 00000000..c1342119 --- /dev/null +++ b/graphrag/index/init_content.py @@ -0,0 +1,156 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +"""Content for the init CLI command.""" + +import graphrag.config.defaults as defs + +INIT_YAML = f""" +encoding_model: cl100k_base +skip_workflows: [] +llm: + api_key: ${{GRAPHRAG_API_KEY}} + type: {defs.LLM_TYPE.value} # or azure_openai_chat + model: {defs.LLM_MODEL} + model_supports_json: true # recommended if this is available for your model. + # max_tokens: {defs.LLM_MAX_TOKENS} + # request_timeout: {defs.LLM_REQUEST_TIMEOUT} + # api_base: https://.openai.azure.com + # api_version: 2024-02-15-preview + # organization: + # deployment_name: + # tokens_per_minute: 150_000 # set a leaky bucket throttle + # requests_per_minute: 10_000 # set a leaky bucket throttle + # max_retries: {defs.LLM_MAX_RETRIES} + # max_retry_wait: {defs.LLM_MAX_RETRY_WAIT} + # sleep_on_rate_limit_recommendation: true # whether to sleep when azure suggests wait-times + # concurrent_requests: {defs.LLM_CONCURRENT_REQUESTS} # the number of parallel inflight requests that may be made + +parallelization: + stagger: {defs.PARALLELIZATION_STAGGER} + # num_threads: {defs.PARALLELIZATION_NUM_THREADS} # the number of threads to use for parallel processing + +async_mode: {defs.ASYNC_MODE.value} # or asyncio + +embeddings: + ## parallelization: override the global parallelization settings for embeddings + async_mode: {defs.ASYNC_MODE.value} # or asyncio + llm: + api_key: ${{GRAPHRAG_API_KEY}} + type: {defs.EMBEDDING_TYPE.value} # or azure_openai_embedding + model: {defs.EMBEDDING_MODEL} + # api_base: https://.openai.azure.com + # api_version: 2024-02-15-preview + # organization: + # deployment_name: + # tokens_per_minute: 150_000 # set a leaky bucket throttle + # requests_per_minute: 10_000 # set a leaky bucket throttle + # max_retries: {defs.LLM_MAX_RETRIES} + # max_retry_wait: {defs.LLM_MAX_RETRY_WAIT} + # sleep_on_rate_limit_recommendation: true # whether to sleep when azure suggests wait-times + # concurrent_requests: {defs.LLM_CONCURRENT_REQUESTS} # the number of parallel inflight requests that may be made + # batch_size: {defs.EMBEDDING_BATCH_SIZE} # the number of documents to send in a single request + # batch_max_tokens: {defs.EMBEDDING_BATCH_MAX_TOKENS} # the maximum number of tokens to send in a single request + # target: {defs.EMBEDDING_TARGET.value} # or optional + + + +chunks: + size: {defs.CHUNK_SIZE} + overlap: {defs.CHUNK_OVERLAP} + group_by_columns: [{",".join(defs.CHUNK_GROUP_BY_COLUMNS)}] # by default, we don't allow chunks to cross documents + +input: + type: {defs.INPUT_TYPE.value} # or blob + file_type: {defs.INPUT_FILE_TYPE.value} # or csv + base_dir: "{defs.INPUT_BASE_DIR}" + file_encoding: {defs.INPUT_FILE_ENCODING} + file_pattern: ".*\\\\.txt$" + +cache: + type: {defs.CACHE_TYPE.value} # or blob + base_dir: "{defs.CACHE_BASE_DIR}" + # connection_string: + # container_name: + +storage: + type: {defs.STORAGE_TYPE.value} # or blob + base_dir: "{defs.STORAGE_BASE_DIR}" + # connection_string: + # container_name: + +reporting: + type: {defs.REPORTING_TYPE.value} # or console, blob + base_dir: "{defs.REPORTING_BASE_DIR}" + # connection_string: + # container_name: + +entity_extraction: + ## llm: override the global llm settings for this task + ## parallelization: override the global parallelization settings for this task + ## async_mode: override the global async_mode settings for this task + prompt: "prompts/entity_extraction.txt" + entity_types: [{",".join(defs.ENTITY_EXTRACTION_ENTITY_TYPES)}] + max_gleanings: 0 + +summarize_descriptions: + ## llm: override the global llm settings for this task + ## parallelization: override the global parallelization settings for this task + ## async_mode: override the global async_mode settings for this task + prompt: "prompts/summarize_descriptions.txt" + max_length: {defs.SUMMARIZE_DESCRIPTIONS_MAX_LENGTH} + +claim_extraction: + ## llm: override the global llm settings for this task + ## parallelization: override the global parallelization settings for this task + ## async_mode: override the global async_mode settings for this task + # enabled: true + prompt: "prompts/claim_extraction.txt" + description: "{defs.CLAIM_DESCRIPTION}" + max_gleanings: {defs.CLAIM_MAX_GLEANINGS} + +community_report: + ## llm: override the global llm settings for this task + ## parallelization: override the global parallelization settings for this task + ## async_mode: override the global async_mode settings for this task + prompt: "prompts/community_report.txt" + max_length: {defs.COMMUNITY_REPORT_MAX_LENGTH} + max_input_length: {defs.COMMUNITY_REPORT_MAX_INPUT_LENGTH} + +cluster_graph: + max_cluster_size: {defs.MAX_CLUSTER_SIZE} + +embed_graph: + enabled: false # if true, will generate node2vec embeddings for nodes + # num_walks: {defs.NODE2VEC_NUM_WALKS} + # walk_length: {defs.NODE2VEC_WALK_LENGTH} + # window_size: {defs.NODE2VEC_WINDOW_SIZE} + # iterations: {defs.NODE2VEC_ITERATIONS} + # random_seed: {defs.NODE2VEC_RANDOM_SEED} + +umap: + enabled: false # if true, will generate UMAP embeddings for nodes + +snapshots: + graphml: false + raw_entities: false + top_level_nodes: false + +local_search: + # text_unit_prop: {defs.LOCAL_SEARCH_TEXT_UNIT_PROP} + # community_prop: {defs.LOCAL_SEARCH_COMMUNITY_PROP} + # conversation_history_max_turns: {defs.LOCAL_SEARCH_CONVERSATION_HISTORY_MAX_TURNS} + # top_k_mapped_entities: {defs.LOCAL_SEARCH_TOP_K_MAPPED_ENTITIES} + # top_k_relationships: {defs.LOCAL_SEARCH_TOP_K_RELATIONSHIPS} + # max_tokens: {defs.LOCAL_SEARCH_MAX_TOKENS} + +global_search: + # max_tokens: {defs.GLOBAL_SEARCH_MAX_TOKENS} + # data_max_tokens: {defs.GLOBAL_SEARCH_DATA_MAX_TOKENS} + # map_max_tokens: {defs.GLOBAL_SEARCH_MAP_MAX_TOKENS} + # reduce_max_tokens: {defs.GLOBAL_SEARCH_REDUCE_MAX_TOKENS} + # concurrency: {defs.GLOBAL_SEARCH_CONCURRENCY} +""" + +INIT_DOTENV = """ +GRAPHRAG_API_KEY= +""" diff --git a/graphrag/index/input/__init__.py b/graphrag/index/input/__init__.py new file mode 100644 index 00000000..91421867 --- /dev/null +++ b/graphrag/index/input/__init__.py @@ -0,0 +1,8 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine input package root.""" + +from .load_input import load_input + +__all__ = ["load_input"] diff --git a/graphrag/index/input/csv.py b/graphrag/index/input/csv.py new file mode 100644 index 00000000..65966f18 --- /dev/null +++ b/graphrag/index/input/csv.py @@ -0,0 +1,131 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing load method definition.""" + +import logging +import re +from io import BytesIO +from typing import cast + +import pandas as pd + +from graphrag.index.config import PipelineCSVInputConfig, PipelineInputConfig +from graphrag.index.progress import ProgressReporter +from graphrag.index.storage import PipelineStorage +from graphrag.index.utils import gen_md5_hash + +log = logging.getLogger(__name__) + +DEFAULT_FILE_PATTERN = re.compile(r"(?P[^\\/]).csv$") + +input_type = "csv" + + +async def load( + config: PipelineInputConfig, + progress: ProgressReporter | None, + storage: PipelineStorage, +) -> pd.DataFrame: + """Load csv inputs from a directory.""" + csv_config = cast(PipelineCSVInputConfig, config) + log.info("Loading csv files from %s", csv_config.base_dir) + + async def load_file(path: str, group: dict | None) -> pd.DataFrame: + if group is None: + group = {} + buffer = BytesIO(await storage.get(path, as_bytes=True)) + data = pd.read_csv(buffer, encoding=config.encoding or "latin-1") + additional_keys = group.keys() + if len(additional_keys) > 0: + data[[*additional_keys]] = data.apply( + lambda _row: pd.Series([group[key] for key in additional_keys]), axis=1 + ) + if "id" not in data.columns: + data["id"] = data.apply(lambda x: gen_md5_hash(x, x.keys()), axis=1) + if csv_config.source_column is not None and "source" not in data.columns: + if csv_config.source_column not in data.columns: + log.warning( + "source_column %s not found in csv file %s", + csv_config.source_column, + path, + ) + else: + data["source"] = data.apply( + lambda x: x[csv_config.source_column], axis=1 + ) + if csv_config.text_column is not None and "text" not in data.columns: + if csv_config.text_column not in data.columns: + log.warning( + "text_column %s not found in csv file %s", + csv_config.text_column, + path, + ) + else: + data["text"] = data.apply(lambda x: x[csv_config.text_column], axis=1) + if csv_config.title_column is not None and "title" not in data.columns: + if csv_config.title_column not in data.columns: + log.warning( + "title_column %s not found in csv file %s", + csv_config.title_column, + path, + ) + else: + data["title"] = data.apply(lambda x: x[csv_config.title_column], axis=1) + + if csv_config.timestamp_column is not None: + fmt = csv_config.timestamp_format + if fmt is None: + msg = "Must specify timestamp_format if timestamp_column is specified" + raise ValueError(msg) + + if csv_config.timestamp_column not in data.columns: + log.warning( + "timestamp_column %s not found in csv file %s", + csv_config.timestamp_column, + path, + ) + else: + data["timestamp"] = pd.to_datetime( + data[csv_config.timestamp_column], format=fmt + ) + + # TODO: Theres probably a less gross way to do this + if "year" not in data.columns: + data["year"] = data.apply(lambda x: x["timestamp"].year, axis=1) + if "month" not in data.columns: + data["month"] = data.apply(lambda x: x["timestamp"].month, axis=1) + if "day" not in data.columns: + data["day"] = data.apply(lambda x: x["timestamp"].day, axis=1) + if "hour" not in data.columns: + data["hour"] = data.apply(lambda x: x["timestamp"].hour, axis=1) + if "minute" not in data.columns: + data["minute"] = data.apply(lambda x: x["timestamp"].minute, axis=1) + if "second" not in data.columns: + data["second"] = data.apply(lambda x: x["timestamp"].second, axis=1) + + return data + + file_pattern = ( + re.compile(config.file_pattern) + if config.file_pattern is not None + else DEFAULT_FILE_PATTERN + ) + files = list( + storage.find( + file_pattern, + progress=progress, + file_filter=config.file_filter, + ) + ) + + if len(files) == 0: + msg = f"No CSV files found in {config.base_dir}" + raise ValueError(msg) + + files = [await load_file(file, group) for file, group in files] + log.info("loading %d csv files", len(files)) + result = pd.concat(files) + total_files_log = f"Total number of unfiltered csv rows: {len(result)}" + log.info(total_files_log) + return result diff --git a/graphrag/index/input/load_input.py b/graphrag/index/input/load_input.py new file mode 100644 index 00000000..6d623342 --- /dev/null +++ b/graphrag/index/input/load_input.py @@ -0,0 +1,85 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing load_input method definition.""" + +import logging +from collections.abc import Awaitable, Callable +from pathlib import Path +from typing import cast + +import pandas as pd + +from graphrag.config import InputConfig, InputType +from graphrag.index.config import PipelineInputConfig +from graphrag.index.progress import NullProgressReporter, ProgressReporter +from graphrag.index.storage import ( + BlobPipelineStorage, + FilePipelineStorage, +) + +from .csv import input_type as csv +from .csv import load as load_csv +from .text import input_type as text +from .text import load as load_text + +log = logging.getLogger(__name__) +loaders: dict[str, Callable[..., Awaitable[pd.DataFrame]]] = { + text: load_text, + csv: load_csv, +} + + +async def load_input( + config: PipelineInputConfig | InputConfig, + progress_reporter: ProgressReporter | None = None, + root_dir: str | None = None, +) -> pd.DataFrame: + """Load the input data for a pipeline.""" + root_dir = root_dir or "" + log.info("loading input from root_dir=%s", config.base_dir) + progress_reporter = progress_reporter or NullProgressReporter() + + if config is None: + msg = "No input specified!" + raise ValueError(msg) + + match config.type: + case InputType.blob: + log.info("using blob storage input") + if config.container_name is None: + msg = "Container name required for blob storage" + raise ValueError(msg) + if ( + config.connection_string is None + and config.storage_account_blob_url is None + ): + msg = "Connection string or storage account blob url required for blob storage" + raise ValueError(msg) + storage = BlobPipelineStorage( + connection_string=config.connection_string, + storage_account_blob_url=config.storage_account_blob_url, + container_name=config.container_name, + path_prefix=config.base_dir, + ) + case InputType.file: + log.info("using file storage for input") + storage = FilePipelineStorage( + root_dir=str(Path(root_dir) / (config.base_dir or "")) + ) + case _: + log.info("using file storage for input") + storage = FilePipelineStorage( + root_dir=str(Path(root_dir) / (config.base_dir or "")) + ) + + if config.file_type in loaders: + progress = progress_reporter.child( + f"Loading Input ({config.file_type})", transient=False + ) + loader = loaders[config.file_type] + results = await loader(config, progress, storage) + return cast(pd.DataFrame, results) + + msg = f"Unknown input type {config.file_type}" + raise ValueError(msg) diff --git a/graphrag/index/input/text.py b/graphrag/index/input/text.py new file mode 100644 index 00000000..def13d78 --- /dev/null +++ b/graphrag/index/input/text.py @@ -0,0 +1,55 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing load method definition.""" + +import logging +import re +from pathlib import Path +from typing import Any + +import pandas as pd + +from graphrag.index.config import PipelineInputConfig +from graphrag.index.progress import ProgressReporter +from graphrag.index.storage import PipelineStorage +from graphrag.index.utils import gen_md5_hash + +DEFAULT_FILE_PATTERN = re.compile( + r".*[\\/](?P[^\\/]+)[\\/](?P\d{4})-(?P\d{2})-(?P\d{2})_(?P[^_]+)_\d+\.txt" +) +input_type = "text" +log = logging.getLogger(__name__) + + +async def load( + config: PipelineInputConfig, + progress: ProgressReporter | None, + storage: PipelineStorage, +) -> pd.DataFrame: + """Load text inputs from a directory.""" + + async def load_file( + path: str, group: dict | None = None, _encoding: str = "utf-8" + ) -> dict[str, Any]: + if group is None: + group = {} + text = await storage.get(path, encoding="utf-8") + new_item = {**group, "text": text} + new_item["id"] = gen_md5_hash(new_item, new_item.keys()) + new_item["title"] = str(Path(path).name) + return new_item + + files = list( + storage.find( + re.compile(config.file_pattern), + progress=progress, + file_filter=config.file_filter, + ) + ) + if len(files) == 0: + msg = f"No text files found in {config.base_dir}" + raise ValueError(msg) + found_files = f"found text files from {config.base_dir}, found {files}" + log.info(found_files) + return pd.DataFrame([await load_file(file, group) for file, group in files]) diff --git a/graphrag/index/llm/__init__.py b/graphrag/index/llm/__init__.py new file mode 100644 index 00000000..008ef07c --- /dev/null +++ b/graphrag/index/llm/__init__.py @@ -0,0 +1,14 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine LLM package root.""" + +from .load_llm import load_llm, load_llm_embeddings +from .types import TextListSplitter, TextSplitter + +__all__ = [ + "TextListSplitter", + "TextSplitter", + "load_llm", + "load_llm_embeddings", +] diff --git a/graphrag/index/llm/load_llm.py b/graphrag/index/llm/load_llm.py new file mode 100644 index 00000000..f24a2815 --- /dev/null +++ b/graphrag/index/llm/load_llm.py @@ -0,0 +1,311 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Load llm utilities.""" + +from __future__ import annotations + +import asyncio +import logging +from typing import TYPE_CHECKING, Any + +from graphrag.config.enums import LLMType +from graphrag.llm import ( + CompletionLLM, + EmbeddingLLM, + LLMCache, + LLMLimiter, + MockCompletionLLM, + OpenAIConfiguration, + create_openai_chat_llm, + create_openai_client, + create_openai_completion_llm, + create_openai_embedding_llm, + create_tpm_rpm_limiters, +) + +if TYPE_CHECKING: + from datashaper import VerbCallbacks + + from graphrag.index.cache import PipelineCache + from graphrag.index.typing import ErrorHandlerFn + +log = logging.getLogger(__name__) + +_semaphores: dict[str, asyncio.Semaphore] = {} +_rate_limiters: dict[str, LLMLimiter] = {} + + +def load_llm( + name: str, + llm_type: LLMType, + callbacks: VerbCallbacks, + cache: PipelineCache | None, + llm_config: dict[str, Any] | None = None, + chat_only=False, +) -> CompletionLLM: + """Load the LLM for the entity extraction chain.""" + on_error = _create_error_handler(callbacks) + + if llm_type in loaders: + if chat_only and not loaders[llm_type]["chat"]: + msg = f"LLM type {llm_type} does not support chat" + raise ValueError(msg) + if cache is not None: + cache = cache.child(name) + + loader = loaders[llm_type] + return loader["load"](on_error, cache, llm_config or {}) + + msg = f"Unknown LLM type {llm_type}" + raise ValueError(msg) + + +def load_llm_embeddings( + name: str, + llm_type: LLMType, + callbacks: VerbCallbacks, + cache: PipelineCache | None, + llm_config: dict[str, Any] | None = None, + chat_only=False, +) -> EmbeddingLLM: + """Load the LLM for the entity extraction chain.""" + on_error = _create_error_handler(callbacks) + if llm_type in loaders: + if chat_only and not loaders[llm_type]["chat"]: + msg = f"LLM type {llm_type} does not support chat" + raise ValueError(msg) + if cache is not None: + cache = cache.child(name) + + return loaders[llm_type]["load"](on_error, cache, llm_config or {}) + + msg = f"Unknown LLM type {llm_type}" + raise ValueError(msg) + + +def _create_error_handler(callbacks: VerbCallbacks) -> ErrorHandlerFn: + def on_error( + error: BaseException | None = None, + stack: str | None = None, + details: dict | None = None, + ) -> None: + callbacks.error("Error Invoking LLM", error, stack, details) + + return on_error + + +def _load_openai_completion_llm( + on_error: ErrorHandlerFn, + cache: LLMCache, + config: dict[str, Any], + azure=False, +): + return _create_openai_completion_llm( + OpenAIConfiguration({ + **_get_base_config(config), + "model": config.get("model", "gpt-4-turbo-preview"), + "deployment_name": config.get("deployment_name"), + "temperature": config.get("temperature", 0.0), + "frequency_penalty": config.get("frequency_penalty", 0), + "presence_penalty": config.get("presence_penalty", 0), + "top_p": config.get("top_p", 1), + "max_tokens": config.get("max_tokens"), + }), + on_error, + cache, + azure, + ) + + +def _load_openai_chat_llm( + on_error: ErrorHandlerFn, + cache: LLMCache, + config: dict[str, Any], + azure=False, +): + return _create_openai_chat_llm( + OpenAIConfiguration({ + # Set default values + **_get_base_config(config), + "model": config.get("model", "gpt-4-turbo-preview"), + "deployment_name": config.get("deployment_name"), + "temperature": config.get("temperature", 0.0), + "frequency_penalty": config.get("frequency_penalty", 0), + "presence_penalty": config.get("presence_penalty", 0), + "top_p": config.get("top_p", 1), + "max_tokens": config.get("max_tokens"), + }), + on_error, + cache, + azure, + ) + + +def _load_openai_embeddings_llm( + on_error: ErrorHandlerFn, + cache: LLMCache, + config: dict[str, Any], + azure=False, +): + # TODO: Inject Cache + return _create_openai_embeddings_llm( + OpenAIConfiguration({ + **_get_base_config(config), + "model": config.get( + "embeddings_model", config.get("model", "text-embedding-3-small") + ), + "deployment_name": config.get("deployment_name"), + }), + on_error, + cache, + azure, + ) + + +def _load_azure_openai_completion_llm( + on_error: ErrorHandlerFn, cache: LLMCache, config: dict[str, Any] +): + return _load_openai_completion_llm(on_error, cache, config, True) + + +def _load_azure_openai_chat_llm( + on_error: ErrorHandlerFn, cache: LLMCache, config: dict[str, Any] +): + return _load_openai_chat_llm(on_error, cache, config, True) + + +def _load_azure_openai_embeddings_llm( + on_error: ErrorHandlerFn, cache: LLMCache, config: dict[str, Any] +): + return _load_openai_embeddings_llm(on_error, cache, config, True) + + +def _get_base_config(config: dict[str, Any]) -> dict[str, Any]: + api_key = config.get("api_key") + + return { + # Pass in all parameterized values + **config, + # Set default values + "api_key": api_key, + "api_base": config.get("api_base"), + "api_version": config.get("api_version"), + "organization": config.get("organization"), + "proxy": config.get("proxy"), + "max_retries": config.get("max_retries", 10), + "request_timeout": config.get("request_timeout", 60.0), + "model_supports_json": config.get("model_supports_json"), + "concurrent_requests": config.get("concurrent_requests", 4), + "encoding_model": config.get("encoding_model", "cl100k_base"), + "cognitive_services_endpoint": config.get("cognitive_services_endpoint"), + } + + +def _load_static_response( + _on_error: ErrorHandlerFn, _cache: PipelineCache, config: dict[str, Any] +) -> CompletionLLM: + return MockCompletionLLM(config.get("responses", [])) + + +loaders = { + LLMType.OpenAI: { + "load": _load_openai_completion_llm, + "chat": False, + }, + LLMType.AzureOpenAI: { + "load": _load_azure_openai_completion_llm, + "chat": False, + }, + LLMType.OpenAIChat: { + "load": _load_openai_chat_llm, + "chat": True, + }, + LLMType.AzureOpenAIChat: { + "load": _load_azure_openai_chat_llm, + "chat": True, + }, + LLMType.OpenAIEmbedding: { + "load": _load_openai_embeddings_llm, + "chat": False, + }, + LLMType.AzureOpenAIEmbedding: { + "load": _load_azure_openai_embeddings_llm, + "chat": False, + }, + LLMType.StaticResponse: { + "load": _load_static_response, + "chat": False, + }, +} + + +def _create_openai_chat_llm( + configuration: OpenAIConfiguration, + on_error: ErrorHandlerFn, + cache: LLMCache, + azure=False, +) -> CompletionLLM: + """Create an openAI chat llm.""" + client = create_openai_client(configuration=configuration, azure=azure) + limiter = _create_limiter(configuration) + semaphore = _create_semaphore(configuration) + return create_openai_chat_llm( + client, configuration, cache, limiter, semaphore, on_error=on_error + ) + + +def _create_openai_completion_llm( + configuration: OpenAIConfiguration, + on_error: ErrorHandlerFn, + cache: LLMCache, + azure=False, +) -> CompletionLLM: + """Create an openAI completion llm.""" + client = create_openai_client(configuration=configuration, azure=azure) + limiter = _create_limiter(configuration) + semaphore = _create_semaphore(configuration) + return create_openai_completion_llm( + client, configuration, cache, limiter, semaphore, on_error=on_error + ) + + +def _create_openai_embeddings_llm( + configuration: OpenAIConfiguration, + on_error: ErrorHandlerFn, + cache: LLMCache, + azure=False, +) -> EmbeddingLLM: + """Create an openAI embeddings llm.""" + client = create_openai_client(configuration=configuration, azure=azure) + limiter = _create_limiter(configuration) + semaphore = _create_semaphore(configuration) + return create_openai_embedding_llm( + client, configuration, cache, limiter, semaphore, on_error=on_error + ) + + +def _create_limiter(configuration: OpenAIConfiguration) -> LLMLimiter: + limit_name = configuration.model or configuration.deployment_name or "default" + if limit_name not in _rate_limiters: + tpm = configuration.tokens_per_minute + rpm = configuration.requests_per_minute + log.info("create TPM/RPM limiter for %s: TPM=%s, RPM=%s", limit_name, tpm, rpm) + _rate_limiters[limit_name] = create_tpm_rpm_limiters(configuration) + return _rate_limiters[limit_name] + + +def _create_semaphore(configuration: OpenAIConfiguration) -> asyncio.Semaphore | None: + limit_name = configuration.model or configuration.deployment_name or "default" + concurrency = configuration.concurrent_requests + + # bypass the semaphore if concurrency is zero + if not concurrency: + log.info("no concurrency limiter for %s", limit_name) + return None + + if limit_name not in _semaphores: + log.info("create concurrency limiter for %s: %s", limit_name, concurrency) + _semaphores[limit_name] = asyncio.Semaphore(concurrency) + + return _semaphores[limit_name] diff --git a/graphrag/index/llm/types.py b/graphrag/index/llm/types.py new file mode 100644 index 00000000..73c47737 --- /dev/null +++ b/graphrag/index/llm/types.py @@ -0,0 +1,10 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing the 'LLMtype' model.""" + +from collections.abc import Callable +from typing import TypeAlias + +TextSplitter: TypeAlias = Callable[[str], list[str]] +TextListSplitter: TypeAlias = Callable[[list[str]], list[str]] diff --git a/graphrag/index/load_pipeline_config.py b/graphrag/index/load_pipeline_config.py new file mode 100644 index 00000000..50a532c5 --- /dev/null +++ b/graphrag/index/load_pipeline_config.py @@ -0,0 +1,79 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing read_dotenv, load_pipeline_config, _parse_yaml and _create_include_constructor methods definition.""" + +import json +from pathlib import Path + +import yaml +from pyaml_env import parse_config as parse_config_with_env + +from graphrag.config import create_graphrag_config, read_dotenv +from graphrag.index.config import PipelineConfig + +from .create_pipeline_config import create_pipeline_config + + +def load_pipeline_config(config_or_path: str | PipelineConfig) -> PipelineConfig: + """Load a pipeline config from a file path or a config object.""" + if isinstance(config_or_path, PipelineConfig): + config = config_or_path + elif config_or_path == "default": + config = create_pipeline_config(create_graphrag_config(root_dir=".")) + else: + # Is there a .env file in the same directory as the config? + read_dotenv(str(Path(config_or_path).parent)) + + if config_or_path.endswith(".json"): + with Path(config_or_path).open(encoding="utf-8") as f: + config = json.load(f) + elif config_or_path.endswith((".yml", ".yaml")): + config = _parse_yaml(config_or_path) + else: + msg = f"Invalid config file type: {config_or_path}" + raise ValueError(msg) + + config = PipelineConfig.model_validate(config) + if not config.root_dir: + config.root_dir = str(Path(config_or_path).parent.resolve()) + + if config.extends is not None: + if isinstance(config.extends, str): + config.extends = [config.extends] + for extended_config in config.extends: + extended_config = load_pipeline_config(extended_config) + merged_config = { + **json.loads(extended_config.model_dump_json()), + **json.loads(config.model_dump_json(exclude_unset=True)), + } + config = PipelineConfig.model_validate(merged_config) + + return config + + +def _parse_yaml(path: str): + """Parse a yaml file, with support for !include directives.""" + # I don't like that this is static + loader_class = yaml.SafeLoader + + # Add !include constructor if not already present. + if "!include" not in loader_class.yaml_constructors: + loader_class.add_constructor("!include", _create_include_constructor()) + + return parse_config_with_env(path, loader=loader_class, default_value="") + + +def _create_include_constructor(): + """Create a constructor for !include directives.""" + + def handle_include(loader: yaml.Loader, node: yaml.Node): + """Include file referenced at node.""" + filename = str(Path(loader.name).parent / node.value) + if filename.endswith((".yml", ".yaml")): + return _parse_yaml(filename) + + with Path(filename).open(encoding="utf-8") as f: + return f.read() + + return handle_include diff --git a/graphrag/index/progress/__init__.py b/graphrag/index/progress/__init__.py new file mode 100644 index 00000000..df6a2152 --- /dev/null +++ b/graphrag/index/progress/__init__.py @@ -0,0 +1,8 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Progress-reporting components.""" + +from .types import NullProgressReporter, PrintProgressReporter, ProgressReporter + +__all__ = ["NullProgressReporter", "PrintProgressReporter", "ProgressReporter"] diff --git a/graphrag/index/progress/rich.py b/graphrag/index/progress/rich.py new file mode 100644 index 00000000..362b64f0 --- /dev/null +++ b/graphrag/index/progress/rich.py @@ -0,0 +1,165 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Rich-based progress reporter for CLI use.""" + +# Print iterations progress +import asyncio + +from datashaper import Progress as DSProgress +from rich.console import Console, Group +from rich.live import Live +from rich.progress import Progress, TaskID, TimeElapsedColumn +from rich.spinner import Spinner +from rich.tree import Tree + +from .types import ProgressReporter + + +# https://stackoverflow.com/a/34325723 +class RichProgressReporter(ProgressReporter): + """A rich-based progress reporter for CLI use.""" + + _console: Console + _group: Group + _tree: Tree + _live: Live + _task: TaskID | None = None + _prefix: str + _transient: bool + _disposing: bool = False + _progressbar: Progress + _last_refresh: float = 0 + + def dispose(self) -> None: + """Dispose of the progress reporter.""" + self._disposing = True + self._live.stop() + + @property + def console(self) -> Console: + """Get the console.""" + return self._console + + @property + def group(self) -> Group: + """Get the group.""" + return self._group + + @property + def tree(self) -> Tree: + """Get the tree.""" + return self._tree + + @property + def live(self) -> Live: + """Get the live.""" + return self._live + + def __init__( + self, + prefix: str, + parent: "RichProgressReporter | None" = None, + transient: bool = True, + ) -> None: + """Create a new rich-based progress reporter.""" + self._prefix = prefix + + if parent is None: + console = Console() + group = Group(Spinner("dots", prefix), fit=True) + tree = Tree(group) + live = Live( + tree, console=console, refresh_per_second=1, vertical_overflow="crop" + ) + live.start() + + self._console = console + self._group = group + self._tree = tree + self._live = live + self._transient = False + else: + self._console = parent.console + self._group = parent.group + progress_columns = [*Progress.get_default_columns(), TimeElapsedColumn()] + self._progressbar = Progress( + *progress_columns, console=self._console, transient=transient + ) + + tree = Tree(prefix) + tree.add(self._progressbar) + tree.hide_root = True + + if parent is not None: + parent_tree = parent.tree + parent_tree.hide_root = False + parent_tree.add(tree) + + self._tree = tree + self._live = parent.live + self._transient = transient + + self.refresh() + + def refresh(self) -> None: + """Perform a debounced refresh.""" + now = asyncio.get_event_loop().time() + duration = now - self._last_refresh + if duration > 0.1: + self._last_refresh = now + self.force_refresh() + + def force_refresh(self) -> None: + """Force a refresh.""" + self.live.refresh() + + def stop(self) -> None: + """Stop the progress reporter.""" + self._live.stop() + + def child(self, prefix: str, transient: bool = True) -> ProgressReporter: + """Create a child progress bar.""" + return RichProgressReporter(parent=self, prefix=prefix, transient=transient) + + def error(self, message: str) -> None: + """Report an error.""" + self._console.print(f"❌ [red]{message}[/red]") + + def warning(self, message: str) -> None: + """Report a warning.""" + self._console.print(f"⚠️ [yellow]{message}[/yellow]") + + def success(self, message: str) -> None: + """Report success.""" + self._console.print(f"🚀 [green]{message}[/green]") + + def info(self, message: str) -> None: + """Report information.""" + self._console.print(message) + + def __call__(self, progress_update: DSProgress) -> None: + """Update progress.""" + if self._disposing: + return + progressbar = self._progressbar + + if self._task is None: + self._task = progressbar.add_task(self._prefix) + + progress_description = "" + if progress_update.description is not None: + progress_description = f" - {progress_update.description}" + + completed = progress_update.completed_items or progress_update.percent + total = progress_update.total_items or 1 + progressbar.update( + self._task, + completed=completed, + total=total, + description=f"{self._prefix}{progress_description}", + ) + if completed == total and self._transient: + progressbar.update(self._task, visible=False) + + self.refresh() diff --git a/graphrag/index/progress/types.py b/graphrag/index/progress/types.py new file mode 100644 index 00000000..2912155e --- /dev/null +++ b/graphrag/index/progress/types.py @@ -0,0 +1,128 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Types for status reporting.""" + +from abc import ABC, abstractmethod + +from datashaper import Progress + + +class ProgressReporter(ABC): + """ + Abstract base class for progress reporters. + + This is used to report workflow processing progress via mechanisms like progress-bars. + """ + + @abstractmethod + def __call__(self, update: Progress): + """Update progress.""" + + @abstractmethod + def dispose(self): + """Dispose of the progress reporter.""" + + @abstractmethod + def child(self, prefix: str, transient=True) -> "ProgressReporter": + """Create a child progress bar.""" + + @abstractmethod + def force_refresh(self) -> None: + """Force a refresh.""" + + @abstractmethod + def stop(self) -> None: + """Stop the progress reporter.""" + + @abstractmethod + def error(self, message: str) -> None: + """Report an error.""" + + @abstractmethod + def warning(self, message: str) -> None: + """Report a warning.""" + + @abstractmethod + def info(self, message: str) -> None: + """Report information.""" + + @abstractmethod + def success(self, message: str) -> None: + """Report success.""" + + +class NullProgressReporter(ProgressReporter): + """A progress reporter that does nothing.""" + + def __call__(self, update: Progress) -> None: + """Update progress.""" + + def dispose(self) -> None: + """Dispose of the progress reporter.""" + + def child(self, prefix: str, transient: bool = True) -> ProgressReporter: + """Create a child progress bar.""" + return self + + def force_refresh(self) -> None: + """Force a refresh.""" + + def stop(self) -> None: + """Stop the progress reporter.""" + + def error(self, message: str) -> None: + """Report an error.""" + + def warning(self, message: str) -> None: + """Report a warning.""" + + def info(self, message: str) -> None: + """Report information.""" + + def success(self, message: str) -> None: + """Report success.""" + + +class PrintProgressReporter(ProgressReporter): + """A progress reporter that does nothing.""" + + prefix: str + + def __init__(self, prefix: str): + """Create a new progress reporter.""" + self.prefix = prefix + print(f"\n{self.prefix}", end="") # noqa T201 + + def __call__(self, update: Progress) -> None: + """Update progress.""" + print(".", end="") # noqa T201 + + def dispose(self) -> None: + """Dispose of the progress reporter.""" + + def child(self, prefix: str, transient: bool = True) -> "ProgressReporter": + """Create a child progress bar.""" + return PrintProgressReporter(prefix) + + def stop(self) -> None: + """Stop the progress reporter.""" + + def force_refresh(self) -> None: + """Force a refresh.""" + + def error(self, message: str) -> None: + """Report an error.""" + print(f"\n{self.prefix}ERROR: {message}") # noqa T201 + + def warning(self, message: str) -> None: + """Report a warning.""" + print(f"\n{self.prefix}WARNING: {message}") # noqa T201 + + def info(self, message: str) -> None: + """Report information.""" + print(f"\n{self.prefix}INFO: {message}") # noqa T201 + + def success(self, message: str) -> None: + """Report success.""" + print(f"\n{self.prefix}SUCCESS: {message}") # noqa T201 diff --git a/graphrag/index/py.typed b/graphrag/index/py.typed new file mode 100644 index 00000000..f4bd2989 --- /dev/null +++ b/graphrag/index/py.typed @@ -0,0 +1,2 @@ +# This package supports type hinting, +# see https://www.python.org/dev/peps/pep-0561/#packaging-type-information \ No newline at end of file diff --git a/graphrag/index/reporting/__init__.py b/graphrag/index/reporting/__init__.py new file mode 100644 index 00000000..697d4fc5 --- /dev/null +++ b/graphrag/index/reporting/__init__.py @@ -0,0 +1,18 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Reporting utilities and implementations for the indexing engine.""" + +from .blob_workflow_callbacks import BlobWorkflowCallbacks +from .console_workflow_callbacks import ConsoleWorkflowCallbacks +from .file_workflow_callbacks import FileWorkflowCallbacks +from .load_pipeline_reporter import load_pipeline_reporter +from .progress_workflow_callbacks import ProgressWorkflowCallbacks + +__all__ = [ + "BlobWorkflowCallbacks", + "ConsoleWorkflowCallbacks", + "FileWorkflowCallbacks", + "ProgressWorkflowCallbacks", + "load_pipeline_reporter", +] diff --git a/graphrag/index/reporting/blob_workflow_callbacks.py b/graphrag/index/reporting/blob_workflow_callbacks.py new file mode 100644 index 00000000..28f0b6d9 --- /dev/null +++ b/graphrag/index/reporting/blob_workflow_callbacks.py @@ -0,0 +1,108 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A reporter that writes to a blob storage.""" + +import json +from datetime import datetime, timezone +from pathlib import Path +from typing import Any + +from azure.identity import DefaultAzureCredential +from azure.storage.blob import BlobServiceClient +from datashaper import NoopWorkflowCallbacks + + +class BlobWorkflowCallbacks(NoopWorkflowCallbacks): + """A reporter that writes to a blob storage.""" + + _blob_service_client: BlobServiceClient + _container_name: str + _max_block_count: int = 25000 # 25k blocks per blob + + def __init__( + self, + connection_string: str | None, + container_name: str, + blob_name: str = "", + base_dir: str | None = None, + storage_account_blob_url: str | None = None, + ): # type: ignore + """Create a new instance of the BlobStorageReporter class.""" + if container_name is None: + msg = "No container name provided for blob storage." + raise ValueError(msg) + if connection_string is None and storage_account_blob_url is None: + msg = "No storage account blob url provided for blob storage." + raise ValueError(msg) + self._connection_string = connection_string + self._storage_account_blob_url = storage_account_blob_url + if self._connection_string: + self._blob_service_client = BlobServiceClient.from_connection_string( + self._connection_string + ) + else: + if storage_account_blob_url is None: + msg = "Either connection_string or storage_account_blob_url must be provided." + raise ValueError(msg) + + self._blob_service_client = BlobServiceClient( + storage_account_blob_url, + credential=DefaultAzureCredential(), + ) + + if blob_name == "": + blob_name = f"report/{datetime.now(tz=timezone.utc).strftime('%Y-%m-%d-%H:%M:%S:%f')}.logs.json" + + self._blob_name = str(Path(base_dir or "") / blob_name) + self._container_name = container_name + self._blob_client = self._blob_service_client.get_blob_client( + self._container_name, self._blob_name + ) + if not self._blob_client.exists(): + self._blob_client.create_append_blob() + + self._num_blocks = 0 # refresh block counter + + def _write_log(self, log: dict[str, Any]): + # create a new file when block count hits close 25k + if ( + self._num_blocks >= self._max_block_count + ): # Check if block count exceeds 25k + self.__init__( + self._connection_string, + self._container_name, + storage_account_blob_url=self._storage_account_blob_url, + ) + + blob_client = self._blob_service_client.get_blob_client( + self._container_name, self._blob_name + ) + blob_client.append_block(json.dumps(log) + "\n") + + # update the blob's block count + self._num_blocks += 1 + + def on_error( + self, + message: str, + cause: BaseException | None = None, + stack: str | None = None, + details: dict | None = None, + ): + """Report an error.""" + self._write_log({ + "type": "error", + "data": message, + "cause": str(cause), + "stack": stack, + "details": details, + }) + + def on_warning(self, message: str, details: dict | None = None): + """Report a warning.""" + self._write_log({"type": "warning", "data": message, "details": details}) + + def on_log(self, message: str, details: dict | None = None): + """Report a generic log message.""" + self._write_log({"type": "log", "data": message, "details": details}) diff --git a/graphrag/index/reporting/console_workflow_callbacks.py b/graphrag/index/reporting/console_workflow_callbacks.py new file mode 100644 index 00000000..b1ab1278 --- /dev/null +++ b/graphrag/index/reporting/console_workflow_callbacks.py @@ -0,0 +1,32 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Console-based reporter for the workflow engine.""" + +from datashaper import NoopWorkflowCallbacks + + +class ConsoleWorkflowCallbacks(NoopWorkflowCallbacks): + """A reporter that writes to a console.""" + + def on_error( + self, + message: str, + cause: BaseException | None = None, + stack: str | None = None, + details: dict | None = None, + ): + """Handle when an error occurs.""" + print(message, str(cause), stack, details) # noqa T201 + + def on_warning(self, message: str, details: dict | None = None): + """Handle when a warning occurs.""" + _print_warning(message) + + def on_log(self, message: str, details: dict | None = None): + """Handle when a log message is produced.""" + print(message, details) # noqa T201 + + +def _print_warning(skk): + print("\033[93m {}\033[00m".format(skk)) # noqa T201 diff --git a/graphrag/index/reporting/file_workflow_callbacks.py b/graphrag/index/reporting/file_workflow_callbacks.py new file mode 100644 index 00000000..e0714986 --- /dev/null +++ b/graphrag/index/reporting/file_workflow_callbacks.py @@ -0,0 +1,67 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A reporter that writes to a file.""" + +import json +import logging +from io import TextIOWrapper +from pathlib import Path + +from datashaper import NoopWorkflowCallbacks + +log = logging.getLogger(__name__) + + +class FileWorkflowCallbacks(NoopWorkflowCallbacks): + """A reporter that writes to a file.""" + + _out_stream: TextIOWrapper + + def __init__(self, directory: str): + """Create a new file-based workflow reporter.""" + Path(directory).mkdir(parents=True, exist_ok=True) + self._out_stream = open( # noqa SIM115 + Path(directory) / "logs.json", "a", encoding="utf-8" + ) + + def on_error( + self, + message: str, + cause: BaseException | None = None, + stack: str | None = None, + details: dict | None = None, + ): + """Handle when an error occurs.""" + self._out_stream.write( + json.dumps({ + "type": "error", + "data": message, + "stack": stack, + "source": str(cause), + "details": details, + }) + + "\n" + ) + message = f"{message} details={details}" + log.info(message) + + def on_warning(self, message: str, details: dict | None = None): + """Handle when a warning occurs.""" + self._out_stream.write( + json.dumps({"type": "warning", "data": message, "details": details}) + "\n" + ) + _print_warning(message) + + def on_log(self, message: str, details: dict | None = None): + """Handle when a log message is produced.""" + self._out_stream.write( + json.dumps({"type": "log", "data": message, "details": details}) + "\n" + ) + + message = f"{message} details={details}" + log.info(message) + + +def _print_warning(skk): + log.warning(skk) diff --git a/graphrag/index/reporting/load_pipeline_reporter.py b/graphrag/index/reporting/load_pipeline_reporter.py new file mode 100644 index 00000000..0386ea03 --- /dev/null +++ b/graphrag/index/reporting/load_pipeline_reporter.py @@ -0,0 +1,47 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Load pipeline reporter method.""" + +from pathlib import Path +from typing import cast + +from datashaper import WorkflowCallbacks + +from graphrag.config import ReportingType +from graphrag.index.config import ( + PipelineBlobReportingConfig, + PipelineFileReportingConfig, + PipelineReportingConfig, +) + +from .blob_workflow_callbacks import BlobWorkflowCallbacks +from .console_workflow_callbacks import ConsoleWorkflowCallbacks +from .file_workflow_callbacks import FileWorkflowCallbacks + + +def load_pipeline_reporter( + config: PipelineReportingConfig | None, root_dir: str | None +) -> WorkflowCallbacks: + """Create a reporter for the given pipeline config.""" + config = config or PipelineFileReportingConfig(base_dir="reports") + + match config.type: + case ReportingType.file: + config = cast(PipelineFileReportingConfig, config) + return FileWorkflowCallbacks( + str(Path(root_dir or "") / (config.base_dir or "")) + ) + case ReportingType.console: + return ConsoleWorkflowCallbacks() + case ReportingType.blob: + config = cast(PipelineBlobReportingConfig, config) + return BlobWorkflowCallbacks( + config.connection_string, + config.container_name, + base_dir=config.base_dir, + storage_account_blob_url=config.storage_account_blob_url, + ) + case _: + msg = f"Unknown reporting type: {config.type}" + raise ValueError(msg) diff --git a/graphrag/index/reporting/progress_workflow_callbacks.py b/graphrag/index/reporting/progress_workflow_callbacks.py new file mode 100644 index 00000000..68f10d75 --- /dev/null +++ b/graphrag/index/reporting/progress_workflow_callbacks.py @@ -0,0 +1,54 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A workflow callback manager that emits updates to a ProgressReporter.""" + +from typing import Any + +from datashaper import ExecutionNode, NoopWorkflowCallbacks, Progress, TableContainer + +from graphrag.index.progress import ProgressReporter + + +class ProgressWorkflowCallbacks(NoopWorkflowCallbacks): + """A callbackmanager that delegates to a ProgressReporter.""" + + _root_progress: ProgressReporter + _progress_stack: list[ProgressReporter] + + def __init__(self, progress: ProgressReporter) -> None: + """Create a new ProgressWorkflowCallbacks.""" + self._progress = progress + self._progress_stack = [progress] + + def _pop(self) -> None: + self._progress_stack.pop() + + def _push(self, name: str) -> None: + self._progress_stack.append(self._latest.child(name)) + + @property + def _latest(self) -> ProgressReporter: + return self._progress_stack[-1] + + def on_workflow_start(self, name: str, instance: object) -> None: + """Execute this callback when a workflow starts.""" + self._push(name) + + def on_workflow_end(self, name: str, instance: object) -> None: + """Execute this callback when a workflow ends.""" + self._pop() + + def on_step_start(self, node: ExecutionNode, inputs: dict[str, Any]) -> None: + """Execute this callback every time a step starts.""" + verb_id_str = f" ({node.node_id})" if node.has_explicit_id else "" + self._push(f"Verb {node.verb.name}{verb_id_str}") + self._latest(Progress(percent=0)) + + def on_step_end(self, node: ExecutionNode, result: TableContainer | None) -> None: + """Execute this callback every time a step ends.""" + self._pop() + + def on_step_progress(self, node: ExecutionNode, progress: Progress) -> None: + """Handle when progress occurs.""" + self._latest(progress) diff --git a/graphrag/index/run.py b/graphrag/index/run.py new file mode 100644 index 00000000..94a519de --- /dev/null +++ b/graphrag/index/run.py @@ -0,0 +1,463 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Different methods to run the pipeline.""" + +import gc +import json +import logging +import time +import traceback +from collections.abc import AsyncIterable +from dataclasses import asdict +from io import BytesIO +from pathlib import Path +from string import Template +from typing import cast + +import pandas as pd +from datashaper import ( + DEFAULT_INPUT_NAME, + MemoryProfile, + Workflow, + WorkflowCallbacks, + WorkflowCallbacksManager, + WorkflowRunResult, +) + +from .cache import InMemoryCache, PipelineCache, load_cache +from .config import ( + PipelineBlobCacheConfig, + PipelineBlobReportingConfig, + PipelineBlobStorageConfig, + PipelineCacheConfigTypes, + PipelineConfig, + PipelineFileCacheConfig, + PipelineFileReportingConfig, + PipelineFileStorageConfig, + PipelineInputConfigTypes, + PipelineMemoryCacheConfig, + PipelineReportingConfigTypes, + PipelineStorageConfigTypes, + PipelineWorkflowReference, + PipelineWorkflowStep, +) +from .context import PipelineRunContext, PipelineRunStats +from .emit import TableEmitterType, create_table_emitters +from .input import load_input +from .load_pipeline_config import load_pipeline_config +from .progress import NullProgressReporter, ProgressReporter +from .reporting import ( + ConsoleWorkflowCallbacks, + ProgressWorkflowCallbacks, + load_pipeline_reporter, +) +from .storage import MemoryPipelineStorage, PipelineStorage, load_storage +from .typing import PipelineRunResult + +# Register all verbs +from .verbs import * # noqa +from .workflows import ( + VerbDefinitions, + WorkflowDefinitions, + create_workflow, + load_workflows, +) + +log = logging.getLogger(__name__) + + +async def run_pipeline_with_config( + config_or_path: PipelineConfig | str, + workflows: list[PipelineWorkflowReference] | None = None, + dataset: pd.DataFrame | None = None, + storage: PipelineStorage | None = None, + cache: PipelineCache | None = None, + callbacks: WorkflowCallbacks | None = None, + progress_reporter: ProgressReporter | None = None, + input_post_process_steps: list[PipelineWorkflowStep] | None = None, + additional_verbs: VerbDefinitions | None = None, + additional_workflows: WorkflowDefinitions | None = None, + emit: list[TableEmitterType] | None = None, + memory_profile: bool = False, + run_id: str | None = None, + is_resume_run: bool = False, + **_kwargs: dict, +) -> AsyncIterable[PipelineRunResult]: + """Run a pipeline with the given config. + + Args: + - config_or_path - The config to run the pipeline with + - workflows - The workflows to run (this overrides the config) + - dataset - The dataset to run the pipeline on (this overrides the config) + - storage - The storage to use for the pipeline (this overrides the config) + - cache - The cache to use for the pipeline (this overrides the config) + - reporter - The reporter to use for the pipeline (this overrides the config) + - input_post_process_steps - The post process steps to run on the input data (this overrides the config) + - additional_verbs - The custom verbs to use for the pipeline. + - additional_workflows - The custom workflows to use for the pipeline. + - emit - The table emitters to use for the pipeline. + - memory_profile - Whether or not to profile the memory. + - run_id - The run id to start or resume from. + """ + if isinstance(config_or_path, str): + log.info("Running pipeline with config %s", config_or_path) + else: + log.info("Running pipeline") + + run_id = run_id or time.strftime("%Y%m%d-%H%M%S") + config = load_pipeline_config(config_or_path) + config = _apply_substitutions(config, run_id) + root_dir = config.root_dir + + def _create_storage(config: PipelineStorageConfigTypes | None) -> PipelineStorage: + return load_storage( + config + or PipelineFileStorageConfig(base_dir=str(Path(root_dir or "") / "output")) + ) + + def _create_cache(config: PipelineCacheConfigTypes | None) -> PipelineCache: + return load_cache(config or PipelineMemoryCacheConfig(), root_dir=root_dir) + + def _create_reporter( + config: PipelineReportingConfigTypes | None, + ) -> WorkflowCallbacks | None: + return load_pipeline_reporter(config, root_dir) if config else None + + async def _create_input( + config: PipelineInputConfigTypes | None, + ) -> pd.DataFrame | None: + if config is None: + return None + + return await load_input(config, progress_reporter, root_dir) + + def _create_postprocess_steps( + config: PipelineInputConfigTypes | None, + ) -> list[PipelineWorkflowStep] | None: + return config.post_process if config is not None else None + + progress_reporter = progress_reporter or NullProgressReporter() + storage = storage or _create_storage(config.storage) + cache = cache or _create_cache(config.cache) + callbacks = callbacks or _create_reporter(config.reporting) + dataset = dataset if dataset is not None else await _create_input(config.input) + post_process_steps = input_post_process_steps or _create_postprocess_steps( + config.input + ) + workflows = workflows or config.workflows + + if dataset is None: + msg = "No dataset provided!" + raise ValueError(msg) + + async for table in run_pipeline( + workflows=workflows, + dataset=dataset, + storage=storage, + cache=cache, + callbacks=callbacks, + input_post_process_steps=post_process_steps, + memory_profile=memory_profile, + additional_verbs=additional_verbs, + additional_workflows=additional_workflows, + progress_reporter=progress_reporter, + emit=emit, + is_resume_run=is_resume_run, + ): + yield table + + +async def run_pipeline( + workflows: list[PipelineWorkflowReference], + dataset: pd.DataFrame, + storage: PipelineStorage | None = None, + cache: PipelineCache | None = None, + callbacks: WorkflowCallbacks | None = None, + progress_reporter: ProgressReporter | None = None, + input_post_process_steps: list[PipelineWorkflowStep] | None = None, + additional_verbs: VerbDefinitions | None = None, + additional_workflows: WorkflowDefinitions | None = None, + emit: list[TableEmitterType] | None = None, + memory_profile: bool = False, + is_resume_run: bool = False, + **_kwargs: dict, +) -> AsyncIterable[PipelineRunResult]: + """Run the pipeline. + + Args: + - workflows - The workflows to run + - dataset - The dataset to run the pipeline on, specifically a dataframe with the following columns at a minimum: + - id - The id of the document + - text - The text of the document + - title - The title of the document + These must exist after any post process steps are run if there are any! + - storage - The storage to use for the pipeline + - cache - The cache to use for the pipeline + - reporter - The reporter to use for the pipeline + - input_post_process_steps - The post process steps to run on the input data + - additional_verbs - The custom verbs to use for the pipeline + - additional_workflows - The custom workflows to use for the pipeline + - debug - Whether or not to run in debug mode + Returns: + - output - An iterable of workflow results as they complete running, as well as any errors that occur + """ + start_time = time.time() + stats = PipelineRunStats() + storage = storage or MemoryPipelineStorage() + cache = cache or InMemoryCache() + progress_reporter = progress_reporter or NullProgressReporter() + callbacks = callbacks or ConsoleWorkflowCallbacks() + callbacks = _create_callback_chain(callbacks, progress_reporter) + emit = emit or [TableEmitterType.Parquet] + emitters = create_table_emitters( + emit, + storage, + lambda e, s, d: cast(WorkflowCallbacks, callbacks).on_error( + "Error emitting table", e, s, d + ), + ) + loaded_workflows = load_workflows( + workflows, + additional_verbs=additional_verbs, + additional_workflows=additional_workflows, + memory_profile=memory_profile, + ) + workflows_to_run = loaded_workflows.workflows + workflow_dependencies = loaded_workflows.dependencies + + context = _create_run_context(storage, cache, stats) + + if len(emitters) == 0: + log.info( + "No emitters provided. No table outputs will be generated. This is probably not correct." + ) + + async def dump_stats() -> None: + await storage.set("stats.json", json.dumps(asdict(stats), indent=4)) + + async def load_table_from_storage(name: str) -> pd.DataFrame: + if not await storage.has(name): + msg = f"Could not find {name} in storage!" + raise ValueError(msg) + try: + log.info("read table from storage: %s", name) + return pd.read_parquet(BytesIO(await storage.get(name, as_bytes=True))) + except Exception: + log.exception("error loading table from storage: %s", name) + raise + + async def inject_workflow_data_dependencies(workflow: Workflow) -> None: + workflow.add_table(DEFAULT_INPUT_NAME, dataset) + deps = workflow_dependencies[workflow.name] + log.info("dependencies for %s: %s", workflow.name, deps) + for id in deps: + workflow_id = f"workflow:{id}" + table = await load_table_from_storage(f"{id}.parquet") + workflow.add_table(workflow_id, table) + + async def write_workflow_stats( + workflow: Workflow, + workflow_result: WorkflowRunResult, + workflow_start_time: float, + ) -> None: + for vt in workflow_result.verb_timings: + stats.workflows[workflow.name][f"{vt.index}_{vt.verb}"] = vt.timing + + workflow_end_time = time.time() + stats.workflows[workflow.name]["overall"] = ( + workflow_end_time - workflow_start_time + ) + stats.total_runtime = time.time() - start_time + await dump_stats() + + if workflow_result.memory_profile is not None: + await _save_profiler_stats( + storage, workflow.name, workflow_result.memory_profile + ) + + log.debug( + "first row of %s => %s", workflow_name, workflow.output().iloc[0].to_json() + ) + + async def emit_workflow_output(workflow: Workflow) -> pd.DataFrame: + output = cast(pd.DataFrame, workflow.output()) + for emitter in emitters: + await emitter.emit(workflow.name, output) + return output + + dataset = await _run_post_process_steps( + input_post_process_steps, dataset, context, callbacks + ) + + # Make sure the incoming data is valid + _validate_dataset(dataset) + + log.info("Final # of rows loaded: %s", len(dataset)) + stats.num_documents = len(dataset) + last_workflow = "input" + + try: + await dump_stats() + + for workflow_to_run in workflows_to_run: + # Try to flush out any intermediate dataframes + gc.collect() + + workflow = workflow_to_run.workflow + workflow_name: str = workflow.name + last_workflow = workflow_name + + log.info("Running workflow: %s...", workflow_name) + + if is_resume_run and await storage.has( + f"{workflow_to_run.workflow.name}.parquet" + ): + log.info("Skipping %s because it already exists", workflow_name) + continue + + stats.workflows[workflow_name] = {"overall": 0.0} + await inject_workflow_data_dependencies(workflow) + + workflow_start_time = time.time() + result = await workflow.run(context, callbacks) + await write_workflow_stats(workflow, result, workflow_start_time) + + # Save the output from the workflow + output = await emit_workflow_output(workflow) + yield PipelineRunResult(workflow_name, output, None) + output = None + workflow.dispose() + workflow = None + + stats.total_runtime = time.time() - start_time + await dump_stats() + except Exception as e: + log.exception("error running workflow %s", last_workflow) + cast(WorkflowCallbacks, callbacks).on_error( + "Error running pipeline!", e, traceback.format_exc() + ) + yield PipelineRunResult(last_workflow, None, [e]) + + +def _create_callback_chain( + callbacks: WorkflowCallbacks | None, progress: ProgressReporter | None +) -> WorkflowCallbacks: + """Create a callbacks manager.""" + manager = WorkflowCallbacksManager() + if callbacks is not None: + manager.register(callbacks) + if progress is not None: + manager.register(ProgressWorkflowCallbacks(progress)) + return manager + + +async def _save_profiler_stats( + storage: PipelineStorage, workflow_name: str, profile: MemoryProfile +): + """Save the profiler stats to the storage.""" + await storage.set( + f"{workflow_name}_profiling.peak_stats.csv", + profile.peak_stats.to_csv(index=True), + ) + + await storage.set( + f"{workflow_name}_profiling.snapshot_stats.csv", + profile.snapshot_stats.to_csv(index=True), + ) + + await storage.set( + f"{workflow_name}_profiling.time_stats.csv", + profile.time_stats.to_csv(index=True), + ) + + await storage.set( + f"{workflow_name}_profiling.detailed_view.csv", + profile.detailed_view.to_csv(index=True), + ) + + +async def _run_post_process_steps( + post_process: list[PipelineWorkflowStep] | None, + dataset: pd.DataFrame, + context: PipelineRunContext, + callbacks: WorkflowCallbacks, +) -> pd.DataFrame: + """Run the pipeline. + + Args: + - post_process - The post process steps to run + - dataset - The dataset to run the steps on + - context - The pipeline run context + Returns: + - output - The dataset after running the post process steps + """ + if post_process is not None and len(post_process) > 0: + input_workflow = create_workflow( + "Input Post Process", + post_process, + ) + input_workflow.add_table(DEFAULT_INPUT_NAME, dataset) + await input_workflow.run( + context=context, + callbacks=callbacks, + ) + dataset = cast(pd.DataFrame, input_workflow.output()) + return dataset + + +def _validate_dataset(dataset: pd.DataFrame): + """Validate the dataset for the pipeline. + + Args: + - dataset - The dataset to validate + """ + if not isinstance(dataset, pd.DataFrame): + msg = "Dataset must be a pandas dataframe!" + raise TypeError(msg) + + +def _apply_substitutions(config: PipelineConfig, run_id: str) -> PipelineConfig: + substitutions = {"timestamp": run_id} + + if ( + isinstance( + config.storage, PipelineFileStorageConfig | PipelineBlobStorageConfig + ) + and config.storage.base_dir + ): + config.storage.base_dir = Template(config.storage.base_dir).substitute( + substitutions + ) + if ( + isinstance(config.cache, PipelineFileCacheConfig | PipelineBlobCacheConfig) + and config.cache.base_dir + ): + config.cache.base_dir = Template(config.cache.base_dir).substitute( + substitutions + ) + + if ( + isinstance( + config.reporting, PipelineFileReportingConfig | PipelineBlobReportingConfig + ) + and config.reporting.base_dir + ): + config.reporting.base_dir = Template(config.reporting.base_dir).substitute( + substitutions + ) + + return config + + +def _create_run_context( + storage: PipelineStorage, + cache: PipelineCache, + stats: PipelineRunStats, +) -> PipelineRunContext: + """Create the run context for the pipeline.""" + return PipelineRunContext( + stats=stats, + cache=cache, + storage=storage, + ) diff --git a/graphrag/index/storage/__init__.py b/graphrag/index/storage/__init__.py new file mode 100644 index 00000000..7ca943db --- /dev/null +++ b/graphrag/index/storage/__init__.py @@ -0,0 +1,19 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine storage package root.""" + +from .blob_pipeline_storage import BlobPipelineStorage, create_blob_storage +from .file_pipeline_storage import FilePipelineStorage +from .load_storage import load_storage +from .memory_pipeline_storage import MemoryPipelineStorage +from .typing import PipelineStorage + +__all__ = [ + "BlobPipelineStorage", + "FilePipelineStorage", + "MemoryPipelineStorage", + "PipelineStorage", + "create_blob_storage", + "load_storage", +] diff --git a/graphrag/index/storage/blob_pipeline_storage.py b/graphrag/index/storage/blob_pipeline_storage.py new file mode 100644 index 00000000..7e60df96 --- /dev/null +++ b/graphrag/index/storage/blob_pipeline_storage.py @@ -0,0 +1,371 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Azure Blob Storage implementation of PipelineStorage.""" + +import logging +import re +from collections.abc import Iterator +from pathlib import Path +from typing import Any + +from azure.identity import DefaultAzureCredential +from azure.storage.blob import BlobServiceClient +from datashaper import Progress + +from graphrag.index.progress import ProgressReporter + +from .typing import PipelineStorage + +log = logging.getLogger(__name__) + + +class BlobPipelineStorage(PipelineStorage): + """The Blob-Storage implementation.""" + + _connection_string: str | None + _container_name: str + _path_prefix: str + _encoding: str + _storage_account_blob_url: str | None + + def __init__( + self, + connection_string: str | None, + container_name: str, + encoding: str | None = None, + path_prefix: str | None = None, + storage_account_blob_url: str | None = None, + ): + """Create a new BlobStorage instance.""" + if connection_string: + self._blob_service_client = BlobServiceClient.from_connection_string( + connection_string + ) + else: + if storage_account_blob_url is None: + msg = "Either connection_string or storage_account_blob_url must be provided." + raise ValueError(msg) + + self._blob_service_client = BlobServiceClient( + account_url=storage_account_blob_url, + credential=DefaultAzureCredential(), + ) + self._encoding = encoding or "utf-8" + self._container_name = container_name + self._connection_string = connection_string + self._path_prefix = path_prefix or "" + self._storage_account_blob_url = storage_account_blob_url + self._storage_account_name = ( + storage_account_blob_url.split("//")[1].split(".")[0] + if storage_account_blob_url + else None + ) + log.info( + "creating blob storage at container=%s, path=%s", + self._container_name, + self._path_prefix, + ) + self.create_container() + + def create_container(self) -> None: + """Create the container if it does not exist.""" + if not self.container_exists(): + container_name = self._container_name + container_names = [ + container.name + for container in self._blob_service_client.list_containers() + ] + if container_name not in container_names: + self._blob_service_client.create_container(container_name) + + def delete_container(self) -> None: + """Delete the container.""" + if self.container_exists(): + self._blob_service_client.delete_container(self._container_name) + + def container_exists(self) -> bool: + """Check if the container exists.""" + container_name = self._container_name + container_names = [ + container.name for container in self._blob_service_client.list_containers() + ] + return container_name in container_names + + def find( + self, + file_pattern: re.Pattern[str], + base_dir: str | None = None, + progress: ProgressReporter | None = None, + file_filter: dict[str, Any] | None = None, + max_count=-1, + ) -> Iterator[tuple[str, dict[str, Any]]]: + """Find blobs in a container using a file pattern, as well as a custom filter function. + + Params: + base_dir: The name of the base container. + file_pattern: The file pattern to use. + file_filter: A dictionary of key-value pairs to filter the blobs. + max_count: The maximum number of blobs to return. If -1, all blobs are returned. + + Returns + ------- + An iterator of blob names and their corresponding regex matches. + """ + base_dir = base_dir or "" + + log.info( + "search container %s for files matching %s", + self._container_name, + file_pattern.pattern, + ) + + def blobname(blob_name: str) -> str: + if blob_name.startswith(self._path_prefix): + blob_name = blob_name.replace(self._path_prefix, "", 1) + if blob_name.startswith("/"): + blob_name = blob_name[1:] + return blob_name + + def item_filter(item: dict[str, Any]) -> bool: + if file_filter is None: + return True + + return all(re.match(value, item[key]) for key, value in file_filter.items()) + + try: + container_client = self._blob_service_client.get_container_client( + self._container_name + ) + all_blobs = list(container_client.list_blobs()) + + num_loaded = 0 + num_total = len(list(all_blobs)) + num_filtered = 0 + for blob in all_blobs: + match = file_pattern.match(blob.name) + if match and blob.name.startswith(base_dir): + group = match.groupdict() + if item_filter(group): + yield (blobname(blob.name), group) + num_loaded += 1 + if max_count > 0 and num_loaded >= max_count: + break + else: + num_filtered += 1 + else: + num_filtered += 1 + if progress is not None: + progress( + _create_progress_status(num_loaded, num_filtered, num_total) + ) + except Exception: + log.exception( + "Error finding blobs: base_dir=%s, file_pattern=%s, file_filter=%s", + base_dir, + file_pattern, + file_filter, + ) + raise + + async def get( + self, key: str, as_bytes: bool | None = False, encoding: str | None = None + ) -> Any: + """Get a value from the cache.""" + try: + key = self._keyname(key) + container_client = self._blob_service_client.get_container_client( + self._container_name + ) + blob_client = container_client.get_blob_client(key) + blob_data = blob_client.download_blob().readall() + if not as_bytes: + coding = encoding or "utf-8" + blob_data = blob_data.decode(coding) + except Exception: + log.exception("Error getting key %s", key) + return None + else: + return blob_data + + async def set(self, key: str, value: Any, encoding: str | None = None) -> None: + """Set a value in the cache.""" + try: + key = self._keyname(key) + container_client = self._blob_service_client.get_container_client( + self._container_name + ) + blob_client = container_client.get_blob_client(key) + if isinstance(value, bytes): + blob_client.upload_blob(value, overwrite=True) + else: + coding = encoding or "utf-8" + blob_client.upload_blob(value.encode(coding), overwrite=True) + except Exception: + log.exception("Error setting key %s: %s", key) + + def set_df_json(self, key: str, dataframe: Any) -> None: + """Set a json dataframe.""" + if self._connection_string is None and self._storage_account_name: + dataframe.to_json( + self._abfs_url(key), + storage_options={ + "account_name": self._storage_account_name, + "credential": DefaultAzureCredential(), + }, + orient="records", + lines=True, + force_ascii=False, + ) + else: + dataframe.to_json( + self._abfs_url(key), + storage_options={"connection_string": self._connection_string}, + orient="records", + lines=True, + force_ascii=False, + ) + + def set_df_parquet(self, key: str, dataframe: Any) -> None: + """Set a parquet dataframe.""" + if self._connection_string is None and self._storage_account_name: + dataframe.to_parquet( + self._abfs_url(key), + storage_options={ + "account_name": self._storage_account_name, + "credential": DefaultAzureCredential(), + }, + ) + else: + dataframe.to_parquet( + self._abfs_url(key), + storage_options={"connection_string": self._connection_string}, + ) + + async def has(self, key: str) -> bool: + """Check if a key exists in the cache.""" + key = self._keyname(key) + container_client = self._blob_service_client.get_container_client( + self._container_name + ) + blob_client = container_client.get_blob_client(key) + return blob_client.exists() + + async def delete(self, key: str) -> None: + """Delete a key from the cache.""" + key = self._keyname(key) + container_client = self._blob_service_client.get_container_client( + self._container_name + ) + blob_client = container_client.get_blob_client(key) + blob_client.delete_blob() + + async def clear(self) -> None: + """Clear the cache.""" + + def child(self, name: str | None) -> "PipelineStorage": + """Create a child storage instance.""" + if name is None: + return self + path = str(Path(self._path_prefix) / name) + return BlobPipelineStorage( + self._connection_string, + self._container_name, + self._encoding, + path, + self._storage_account_blob_url, + ) + + def _keyname(self, key: str) -> str: + """Get the key name.""" + return str(Path(self._path_prefix) / key) + + def _abfs_url(self, key: str) -> str: + """Get the ABFS URL.""" + path = str(Path(self._container_name) / self._path_prefix / key) + return f"abfs://{path}" + + +def create_blob_storage( + connection_string: str | None, + storage_account_blob_url: str | None, + container_name: str, + base_dir: str | None, +) -> PipelineStorage: + """Create a blob based storage.""" + log.info("Creating blob storage at %s", container_name) + if container_name is None: + msg = "No container name provided for blob storage." + raise ValueError(msg) + if connection_string is None and storage_account_blob_url is None: + msg = "No storage account blob url provided for blob storage." + raise ValueError(msg) + return BlobPipelineStorage( + connection_string, + container_name, + path_prefix=base_dir, + storage_account_blob_url=storage_account_blob_url, + ) + + +def validate_blob_container_name(container_name: str): + """ + Check if the provided blob container name is valid based on Azure rules. + + - A blob container name must be between 3 and 63 characters in length. + - Start with a letter or number + - All letters used in blob container names must be lowercase. + - Contain only letters, numbers, or the hyphen. + - Consecutive hyphens are not permitted. + - Cannot end with a hyphen. + + Args: + ----- + container_name (str) + The blob container name to be validated. + + Returns + ------- + bool: True if valid, False otherwise. + """ + # Check the length of the name + if len(container_name) < 3 or len(container_name) > 63: + return ValueError( + f"Container name must be between 3 and 63 characters in length. Name provided was {len(container_name)} characters long." + ) + + # Check if the name starts with a letter or number + if not container_name[0].isalnum(): + return ValueError( + f"Container name must start with a letter or number. Starting character was {container_name[0]}." + ) + + # Check for valid characters (letters, numbers, hyphen) and lowercase letters + if not re.match("^[a-z0-9-]+$", container_name): + return ValueError( + f"Container name must only contain:\n- lowercase letters\n- numbers\n- or hyphens\nName provided was {container_name}." + ) + + # Check for consecutive hyphens + if "--" in container_name: + return ValueError( + f"Container name cannot contain consecutive hyphens. Name provided was {container_name}." + ) + + # Check for hyphens at the end of the name + if container_name[-1] == "-": + return ValueError( + f"Container name cannot end with a hyphen. Name provided was {container_name}." + ) + + return True + + +def _create_progress_status( + num_loaded: int, num_filtered: int, num_total: int +) -> Progress: + return Progress( + total_items=num_total, + completed_items=num_loaded + num_filtered, + description=f"{num_loaded} files loaded ({num_filtered} filtered)", + ) diff --git a/graphrag/index/storage/file_pipeline_storage.py b/graphrag/index/storage/file_pipeline_storage.py new file mode 100644 index 00000000..3580e1e1 --- /dev/null +++ b/graphrag/index/storage/file_pipeline_storage.py @@ -0,0 +1,163 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing 'FileStorage' and 'FilePipelineStorage' models.""" + +import logging +import os +import re +import shutil +from collections.abc import Iterator +from pathlib import Path +from typing import Any, cast + +import aiofiles +from aiofiles.os import remove +from aiofiles.ospath import exists +from datashaper import Progress + +from graphrag.index.progress import ProgressReporter + +from .typing import PipelineStorage + +log = logging.getLogger(__name__) + + +class FilePipelineStorage(PipelineStorage): + """File storage class definition.""" + + _root_dir: str + _encoding: str + + def __init__(self, root_dir: str | None = None, encoding: str | None = None): + """Init method definition.""" + self._root_dir = root_dir or "" + self._encoding = encoding or "utf-8" + Path(self._root_dir).mkdir(parents=True, exist_ok=True) + + def find( + self, + file_pattern: re.Pattern[str], + base_dir: str | None = None, + progress: ProgressReporter | None = None, + file_filter: dict[str, Any] | None = None, + max_count=-1, + ) -> Iterator[tuple[str, dict[str, Any]]]: + """Find files in the storage using a file pattern, as well as a custom filter function.""" + + def item_filter(item: dict[str, Any]) -> bool: + if file_filter is None: + return True + + return all(re.match(value, item[key]) for key, value in file_filter.items()) + + search_path = Path(self._root_dir) / (base_dir or "") + log.info("search %s for files matching %s", search_path, file_pattern.pattern) + all_files = list(search_path.rglob("**/*")) + num_loaded = 0 + num_total = len(all_files) + num_filtered = 0 + for file in all_files: + match = file_pattern.match(f"{file}") + if match: + group = match.groupdict() + if item_filter(group): + filename = f"{file}".replace(self._root_dir, "") + if filename.startswith(os.sep): + filename = filename[1:] + yield (filename, group) + num_loaded += 1 + if max_count > 0 and num_loaded >= max_count: + break + else: + num_filtered += 1 + else: + num_filtered += 1 + if progress is not None: + progress(_create_progress_status(num_loaded, num_filtered, num_total)) + + async def get( + self, key: str, as_bytes: bool | None = False, encoding: str | None = None + ) -> Any: + """Get method definition.""" + file_path = join_path(self._root_dir, key) + + if await self.has(key): + return await self._read_file(file_path, as_bytes, encoding) + if await exists(key): + # Lookup for key, as it is pressumably a new file loaded from inputs + # and not yet written to storage + return await self._read_file(key, as_bytes, encoding) + + return None + + async def _read_file( + self, + path: str | Path, + as_bytes: bool | None = False, + encoding: str | None = None, + ) -> Any: + """Read the contents of a file.""" + read_type = "rb" if as_bytes else "r" + encoding = None if as_bytes else (encoding or self._encoding) + + async with aiofiles.open( + path, + cast(Any, read_type), + encoding=encoding, + ) as f: + return await f.read() + + async def set(self, key: str, value: Any, encoding: str | None = None) -> None: + """Set method definition.""" + is_bytes = isinstance(value, bytes) + write_type = "wb" if is_bytes else "w" + encoding = None if is_bytes else encoding or self._encoding + async with aiofiles.open( + join_path(self._root_dir, key), cast(Any, write_type), encoding=encoding + ) as f: + await f.write(value) + + async def has(self, key: str) -> bool: + """Has method definition.""" + return await exists(join_path(self._root_dir, key)) + + async def delete(self, key: str) -> None: + """Delete method definition.""" + if await self.has(key): + await remove(join_path(self._root_dir, key)) + + async def clear(self) -> None: + """Clear method definition.""" + for file in Path(self._root_dir).glob("*"): + if file.is_dir(): + shutil.rmtree(file) + else: + file.unlink() + + def child(self, name: str | None) -> "PipelineStorage": + """Create a child storage instance.""" + if name is None: + return self + return FilePipelineStorage(str(Path(self._root_dir) / Path(name))) + + +def join_path(file_path: str, file_name: str) -> Path: + """Join a path and a file. Independent of the OS.""" + return Path(file_path) / Path(file_name).parent / Path(file_name).name + + +def create_file_storage(out_dir: str | None) -> PipelineStorage: + """Create a file based storage.""" + log.info("Creating file storage at %s", out_dir) + return FilePipelineStorage(out_dir) + + +def _create_progress_status( + num_loaded: int, num_filtered: int, num_total: int +) -> Progress: + return Progress( + total_items=num_total, + completed_items=num_loaded + num_filtered, + description=f"{num_loaded} files loaded ({num_filtered} filtered)", + ) diff --git a/graphrag/index/storage/load_storage.py b/graphrag/index/storage/load_storage.py new file mode 100644 index 00000000..33d61ee9 --- /dev/null +++ b/graphrag/index/storage/load_storage.py @@ -0,0 +1,40 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing load_storage method definition.""" + +from __future__ import annotations + +from typing import cast + +from graphrag.config import StorageType +from graphrag.index.config.storage import ( + PipelineBlobStorageConfig, + PipelineFileStorageConfig, + PipelineStorageConfig, +) + +from .blob_pipeline_storage import create_blob_storage +from .file_pipeline_storage import create_file_storage +from .memory_pipeline_storage import create_memory_storage + + +def load_storage(config: PipelineStorageConfig): + """Load the storage for a pipeline.""" + match config.type: + case StorageType.memory: + return create_memory_storage() + case StorageType.blob: + config = cast(PipelineBlobStorageConfig, config) + return create_blob_storage( + config.connection_string, + config.storage_account_blob_url, + config.container_name, + config.base_dir, + ) + case StorageType.file: + config = cast(PipelineFileStorageConfig, config) + return create_file_storage(config.base_dir) + case _: + msg = f"Unknown storage type: {config.type}" + raise ValueError(msg) diff --git a/graphrag/index/storage/memory_pipeline_storage.py b/graphrag/index/storage/memory_pipeline_storage.py new file mode 100644 index 00000000..2d1382e0 --- /dev/null +++ b/graphrag/index/storage/memory_pipeline_storage.py @@ -0,0 +1,79 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing 'InMemoryStorage' model.""" + +from typing import Any + +from .file_pipeline_storage import FilePipelineStorage +from .typing import PipelineStorage + + +class MemoryPipelineStorage(FilePipelineStorage): + """In memory storage class definition.""" + + _storage: dict[str, Any] + + def __init__(self): + """Init method definition.""" + super().__init__(root_dir=".output") + self._storage = {} + + async def get( + self, key: str, as_bytes: bool | None = None, encoding: str | None = None + ) -> Any: + """Get the value for the given key. + + Args: + - key - The key to get the value for. + - as_bytes - Whether or not to return the value as bytes. + + Returns + ------- + - output - The value for the given key. + """ + return self._storage.get(key) or await super().get(key, as_bytes, encoding) + + async def set( + self, key: str, value: str | bytes | None, encoding: str | None = None + ) -> None: + """Set the value for the given key. + + Args: + - key - The key to set the value for. + - value - The value to set. + """ + self._storage[key] = value + + async def has(self, key: str) -> bool: + """Return True if the given key exists in the storage. + + Args: + - key - The key to check for. + + Returns + ------- + - output - True if the key exists in the storage, False otherwise. + """ + return key in self._storage or await super().has(key) + + async def delete(self, key: str) -> None: + """Delete the given key from the storage. + + Args: + - key - The key to delete. + """ + del self._storage[key] + + async def clear(self) -> None: + """Clear the storage.""" + self._storage.clear() + + def child(self, name: str | None) -> "PipelineStorage": + """Create a child storage instance.""" + return self + + +def create_memory_storage() -> PipelineStorage: + """Create memory storage.""" + return MemoryPipelineStorage() diff --git a/graphrag/index/storage/typing.py b/graphrag/index/storage/typing.py new file mode 100644 index 00000000..595baf4e --- /dev/null +++ b/graphrag/index/storage/typing.py @@ -0,0 +1,80 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing 'PipelineStorage' model.""" + +import re +from abc import ABCMeta, abstractmethod +from collections.abc import Iterator +from typing import Any + +from graphrag.index.progress import ProgressReporter + + +class PipelineStorage(metaclass=ABCMeta): + """Provide a storage interface for the pipeline. This is where the pipeline will store its output data.""" + + @abstractmethod + def find( + self, + file_pattern: re.Pattern[str], + base_dir: str | None = None, + progress: ProgressReporter | None = None, + file_filter: dict[str, Any] | None = None, + max_count=-1, + ) -> Iterator[tuple[str, dict[str, Any]]]: + """Find files in the storage using a file pattern, as well as a custom filter function.""" + + @abstractmethod + async def get( + self, key: str, as_bytes: bool | None = None, encoding: str | None = None + ) -> Any: + """Get the value for the given key. + + Args: + - key - The key to get the value for. + - as_bytes - Whether or not to return the value as bytes. + + Returns + ------- + - output - The value for the given key. + """ + + @abstractmethod + async def set( + self, key: str, value: str | bytes | None, encoding: str | None = None + ) -> None: + """Set the value for the given key. + + Args: + - key - The key to set the value for. + - value - The value to set. + """ + + @abstractmethod + async def has(self, key: str) -> bool: + """Return True if the given key exists in the storage. + + Args: + - key - The key to check for. + + Returns + ------- + - output - True if the key exists in the storage, False otherwise. + """ + + @abstractmethod + async def delete(self, key: str) -> None: + """Delete the given key from the storage. + + Args: + - key - The key to delete. + """ + + @abstractmethod + async def clear(self) -> None: + """Clear the storage.""" + + @abstractmethod + def child(self, name: str | None) -> "PipelineStorage": + """Create a child storage instance.""" diff --git a/graphrag/index/text_splitting/__init__.py b/graphrag/index/text_splitting/__init__.py new file mode 100644 index 00000000..4653adb2 --- /dev/null +++ b/graphrag/index/text_splitting/__init__.py @@ -0,0 +1,34 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine Text Splitting package root.""" + +from .check_token_limit import check_token_limit +from .text_splitting import ( + DecodeFn, + EncodedText, + EncodeFn, + LengthFn, + NoopTextSplitter, + TextListSplitter, + TextListSplitterType, + TextSplitter, + Tokenizer, + TokenTextSplitter, + split_text_on_tokens, +) + +__all__ = [ + "DecodeFn", + "EncodeFn", + "EncodedText", + "LengthFn", + "NoopTextSplitter", + "TextListSplitter", + "TextListSplitterType", + "TextSplitter", + "TokenTextSplitter", + "Tokenizer", + "check_token_limit", + "split_text_on_tokens", +] diff --git a/graphrag/index/text_splitting/check_token_limit.py b/graphrag/index/text_splitting/check_token_limit.py new file mode 100644 index 00000000..1a5f8622 --- /dev/null +++ b/graphrag/index/text_splitting/check_token_limit.py @@ -0,0 +1,15 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Token limit method definition.""" + +from .text_splitting import TokenTextSplitter + + +def check_token_limit(text, max_token): + """Check token limit.""" + text_splitter = TokenTextSplitter(chunk_size=max_token, chunk_overlap=0) + docs = text_splitter.split_text(text) + if len(docs) > 1: + return 0 + return 1 diff --git a/graphrag/index/text_splitting/text_splitting.py b/graphrag/index/text_splitting/text_splitting.py new file mode 100644 index 00000000..0badc897 --- /dev/null +++ b/graphrag/index/text_splitting/text_splitting.py @@ -0,0 +1,244 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing the 'Tokenizer', 'TextSplitter', 'NoopTextSplitter' and 'TokenTextSplitter' models.""" + +import json +import logging +from abc import ABC, abstractmethod +from collections.abc import Callable, Collection, Iterable +from dataclasses import dataclass +from enum import Enum +from typing import Any, Literal, cast + +import pandas as pd +import tiktoken + +from graphrag.index.utils import num_tokens_from_string + +EncodedText = list[int] +DecodeFn = Callable[[EncodedText], str] +EncodeFn = Callable[[str], EncodedText] +LengthFn = Callable[[str], int] + +log = logging.getLogger(__name__) + + +@dataclass(frozen=True) +class Tokenizer: + """Tokenizer data class.""" + + chunk_overlap: int + """Overlap in tokens between chunks""" + tokens_per_chunk: int + """Maximum number of tokens per chunk""" + decode: DecodeFn + """ Function to decode a list of token ids to a string""" + encode: EncodeFn + """ Function to encode a string to a list of token ids""" + + +class TextSplitter(ABC): + """Text splitter class definition.""" + + _chunk_size: int + _chunk_overlap: int + _length_function: LengthFn + _keep_separator: bool + _add_start_index: bool + _strip_whitespace: bool + + def __init__( + self, + # based on text-ada-002-embedding max input buffer length + # https://platform.openai.com/docs/guides/embeddings/second-generation-models + chunk_size: int = 8191, + chunk_overlap: int = 100, + length_function: LengthFn = len, + keep_separator: bool = False, + add_start_index: bool = False, + strip_whitespace: bool = True, + ): + """Init method definition.""" + self._chunk_size = chunk_size + self._chunk_overlap = chunk_overlap + self._length_function = length_function + self._keep_separator = keep_separator + self._add_start_index = add_start_index + self._strip_whitespace = strip_whitespace + + @abstractmethod + def split_text(self, text: str | list[str]) -> Iterable[str]: + """Split text method definition.""" + + +class NoopTextSplitter(TextSplitter): + """Noop text splitter class definition.""" + + def split_text(self, text: str | list[str]) -> Iterable[str]: + """Split text method definition.""" + return [text] if isinstance(text, str) else text + + +class TokenTextSplitter(TextSplitter): + """Token text splitter class definition.""" + + _allowed_special: Literal["all"] | set[str] + _disallowed_special: Literal["all"] | Collection[str] + + def __init__( + self, + encoding_name: str = "cl100k_base", + model_name: str | None = None, + allowed_special: Literal["all"] | set[str] | None = None, + disallowed_special: Literal["all"] | Collection[str] = "all", + **kwargs: Any, + ): + """Init method definition.""" + super().__init__(**kwargs) + if model_name is not None: + try: + enc = tiktoken.encoding_for_model(model_name) + except KeyError: + log.exception("Model %s not found, using %s", model_name, encoding_name) + enc = tiktoken.get_encoding(encoding_name) + else: + enc = tiktoken.get_encoding(encoding_name) + self._tokenizer = enc + self._allowed_special = allowed_special or set() + self._disallowed_special = disallowed_special + + def encode(self, text: str) -> list[int]: + """Encode the given text into an int-vector.""" + return self._tokenizer.encode( + text, + allowed_special=self._allowed_special, + disallowed_special=self._disallowed_special, + ) + + def num_tokens(self, text: str) -> int: + """Return the number of tokens in a string.""" + return len(self.encode(text)) + + def split_text(self, text: str | list[str]) -> list[str]: + """Split text method.""" + if cast(bool, pd.isna(text)) or text == "": + return [] + if isinstance(text, list): + text = " ".join(text) + if not isinstance(text, str): + msg = f"Attempting to split a non-string value, actual is {type(text)}" + raise TypeError(msg) + + tokenizer = Tokenizer( + chunk_overlap=self._chunk_overlap, + tokens_per_chunk=self._chunk_size, + decode=self._tokenizer.decode, + encode=lambda text: self.encode(text), + ) + + return split_text_on_tokens(text=text, tokenizer=tokenizer) + + +class TextListSplitterType(str, Enum): + """Enum for the type of the TextListSplitter.""" + + DELIMITED_STRING = "delimited_string" + JSON = "json" + + +class TextListSplitter(TextSplitter): + """Text list splitter class definition.""" + + def __init__( + self, + chunk_size: int, + splitter_type: TextListSplitterType = TextListSplitterType.JSON, + input_delimiter: str | None = None, + output_delimiter: str | None = None, + model_name: str | None = None, + encoding_name: str | None = None, + ): + """Initialize the TextListSplitter with a chunk size.""" + # Set the chunk overlap to 0 as we use full strings + super().__init__(chunk_size, chunk_overlap=0) + self._type = splitter_type + self._input_delimiter = input_delimiter + self._output_delimiter = output_delimiter or "\n" + self._length_function = lambda x: num_tokens_from_string( + x, model=model_name, encoding_name=encoding_name + ) + + def split_text(self, text: str | list[str]) -> Iterable[str]: + """Split a string list into a list of strings for a given chunk size.""" + if not text: + return [] + + result: list[str] = [] + current_chunk: list[str] = [] + + # Add the brackets + current_length: int = self._length_function("[]") + + # Input should be a string list joined by a delimiter + string_list = self._load_text_list(text) + + if len(string_list) == 1: + return string_list + + for item in string_list: + # Count the length of the item and add comma + item_length = self._length_function(f"{item},") + + if current_length + item_length > self._chunk_size: + if current_chunk and len(current_chunk) > 0: + # Add the current chunk to the result + self._append_to_result(result, current_chunk) + + # Start a new chunk + current_chunk = [item] + # Add 2 for the brackets + current_length = item_length + else: + # Add the item to the current chunk + current_chunk.append(item) + # Add 1 for the comma + current_length += item_length + + # Add the last chunk to the result + self._append_to_result(result, current_chunk) + + return result + + def _load_text_list(self, text: str | list[str]): + """Load the text list based on the type.""" + if isinstance(text, list): + string_list = text + elif self._type == TextListSplitterType.JSON: + string_list = json.loads(text) + else: + string_list = text.split(self._input_delimiter) + return string_list + + def _append_to_result(self, chunk_list: list[str], new_chunk: list[str]): + """Append the current chunk to the result.""" + if new_chunk and len(new_chunk) > 0: + if self._type == TextListSplitterType.JSON: + chunk_list.append(json.dumps(new_chunk)) + else: + chunk_list.append(self._output_delimiter.join(new_chunk)) + + +def split_text_on_tokens(*, text: str, tokenizer: Tokenizer) -> list[str]: + """Split incoming text and return chunks using tokenizer.""" + splits: list[str] = [] + input_ids = tokenizer.encode(text) + start_idx = 0 + cur_idx = min(start_idx + tokenizer.tokens_per_chunk, len(input_ids)) + chunk_ids = input_ids[start_idx:cur_idx] + while start_idx < len(input_ids): + splits.append(tokenizer.decode(chunk_ids)) + start_idx += tokenizer.tokens_per_chunk - tokenizer.chunk_overlap + cur_idx = min(start_idx + tokenizer.tokens_per_chunk, len(input_ids)) + chunk_ids = input_ids[start_idx:cur_idx] + return splits diff --git a/graphrag/index/typing.py b/graphrag/index/typing.py new file mode 100644 index 00000000..ed1d7e93 --- /dev/null +++ b/graphrag/index/typing.py @@ -0,0 +1,20 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing the 'PipelineRunResult' model.""" + +from collections.abc import Callable +from dataclasses import dataclass + +import pandas as pd + +ErrorHandlerFn = Callable[[BaseException | None, str | None, dict | None], None] + + +@dataclass +class PipelineRunResult: + """Pipeline run result class definition.""" + + workflow: str + result: pd.DataFrame | None + errors: list[BaseException] | None diff --git a/graphrag/index/utils/__init__.py b/graphrag/index/utils/__init__.py new file mode 100644 index 00000000..3a8b1c00 --- /dev/null +++ b/graphrag/index/utils/__init__.py @@ -0,0 +1,27 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Utils methods definition.""" + +from .dicts import dict_has_keys_with_types +from .hashing import gen_md5_hash +from .is_null import is_null +from .json import clean_up_json +from .load_graph import load_graph +from .string import clean_str +from .tokens import num_tokens_from_string, string_from_tokens +from .topological_sort import topological_sort +from .uuid import gen_uuid + +__all__ = [ + "clean_str", + "clean_up_json", + "dict_has_keys_with_types", + "gen_md5_hash", + "gen_uuid", + "is_null", + "load_graph", + "num_tokens_from_string", + "string_from_tokens", + "topological_sort", +] diff --git a/graphrag/index/utils/dataframes.py b/graphrag/index/utils/dataframes.py new file mode 100644 index 00000000..ea65d71d --- /dev/null +++ b/graphrag/index/utils/dataframes.py @@ -0,0 +1,61 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing DataFrame utilities.""" + +from collections.abc import Callable +from typing import Any, cast + +import pandas as pd +from pandas._typing import MergeHow + + +def drop_columns(df: pd.DataFrame, *column: str) -> pd.DataFrame: + """Drop columns from a dataframe.""" + return df.drop(list(column), axis=1) + + +def where_column_equals(df: pd.DataFrame, column: str, value: Any) -> pd.DataFrame: + """Return a filtered DataFrame where a column equals a value.""" + return cast(pd.DataFrame, df[df[column] == value]) + + +def antijoin(df: pd.DataFrame, exclude: pd.DataFrame, column: str) -> pd.DataFrame: + """Return an anti-joined dataframe. + + Arguments: + * df: The DataFrame to apply the exclusion to + * exclude: The DataFrame containing rows to remove. + * column: The join-on column. + """ + result = df.merge( + exclude[[column]], + on=column, + how="outer", + indicator=True, + ) + if "_merge" in result.columns: + result = result[result["_merge"] == "left_only"].drop("_merge", axis=1) + return cast(pd.DataFrame, result) + + +def transform_series(series: pd.Series, fn: Callable[[Any], Any]) -> pd.Series: + """Apply a transformation function to a series.""" + return cast(pd.Series, series.apply(fn)) + + +def join( + left: pd.DataFrame, right: pd.DataFrame, key: str, strategy: MergeHow = "left" +) -> pd.DataFrame: + """Perform a table join.""" + return left.merge(right, on=key, how=strategy) + + +def union(*frames: pd.DataFrame) -> pd.DataFrame: + """Perform a union operation on the given set of dataframes.""" + return pd.concat(list(frames)) + + +def select(df: pd.DataFrame, *columns: str) -> pd.DataFrame: + """Select columns from a dataframe.""" + return cast(pd.DataFrame, df[list(columns)]) diff --git a/graphrag/index/utils/dicts.py b/graphrag/index/utils/dicts.py new file mode 100644 index 00000000..4d3662e0 --- /dev/null +++ b/graphrag/index/utils/dicts.py @@ -0,0 +1,18 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A utility module containing methods for inspecting and verifying dictionary types.""" + + +def dict_has_keys_with_types( + data: dict, expected_fields: list[tuple[str, type]] +) -> bool: + """Return True if the given dictionary has the given keys with the given types.""" + for field, field_type in expected_fields: + if field not in data: + return False + + value = data[field] + if not isinstance(value, field_type): + return False + return True diff --git a/graphrag/index/utils/ds_util.py b/graphrag/index/utils/ds_util.py new file mode 100644 index 00000000..d65c69e4 --- /dev/null +++ b/graphrag/index/utils/ds_util.py @@ -0,0 +1,32 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A utility module datashaper-specific utility methods.""" + +from typing import cast + +from datashaper import TableContainer, VerbInput + +_NAMED_INPUTS_REQUIRED = "Named inputs are required" + + +def get_required_input_table(input: VerbInput, name: str) -> TableContainer: + """Get a required input table by name.""" + return cast(TableContainer, get_named_input_table(input, name, required=True)) + + +def get_named_input_table( + input: VerbInput, name: str, required: bool = False +) -> TableContainer | None: + """Get an input table from datashaper verb-inputs by name.""" + named_inputs = input.named + if named_inputs is None: + if not required: + return None + raise ValueError(_NAMED_INPUTS_REQUIRED) + + result = named_inputs.get(name) + if result is None and required: + msg = f"input '${name}' is required" + raise ValueError(msg) + return result diff --git a/graphrag/index/utils/hashing.py b/graphrag/index/utils/hashing.py new file mode 100644 index 00000000..342ae99d --- /dev/null +++ b/graphrag/index/utils/hashing.py @@ -0,0 +1,14 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Hashing utilities.""" + +from collections.abc import Iterable +from hashlib import md5 +from typing import Any + + +def gen_md5_hash(item: dict[str, Any], hashcode: Iterable[str]): + """Generate an md5 hash.""" + hashed = "".join([str(item[column]) for column in hashcode]) + return f"{md5(hashed.encode('utf-8'), usedforsecurity=False).hexdigest()}" diff --git a/graphrag/index/utils/is_null.py b/graphrag/index/utils/is_null.py new file mode 100644 index 00000000..f5df1955 --- /dev/null +++ b/graphrag/index/utils/is_null.py @@ -0,0 +1,19 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Defines the is_null utility.""" + +import math +from typing import Any + + +def is_null(value: Any) -> bool: + """Check if value is null or is nan.""" + + def is_none() -> bool: + return value is None + + def is_nan() -> bool: + return isinstance(value, float) and math.isnan(value) + + return is_none() or is_nan() diff --git a/graphrag/index/utils/json.py b/graphrag/index/utils/json.py new file mode 100644 index 00000000..11d5b020 --- /dev/null +++ b/graphrag/index/utils/json.py @@ -0,0 +1,25 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""JSON cleaning and formatting utilities.""" + + +def clean_up_json(json_str: str): + """Clean up json string.""" + json_str = ( + json_str.replace("\\n", "") + .replace("\n", "") + .replace("\r", "") + .replace('"[{', "[{") + .replace('}]"', "}]") + .replace("\\", "") + .strip() + ) + + # Remove JSON Markdown Frame + if json_str.startswith("```json"): + json_str = json_str[len("```json") :] + if json_str.endswith("```"): + json_str = json_str[: len(json_str) - len("```")] + + return json_str diff --git a/graphrag/index/utils/load_graph.py b/graphrag/index/utils/load_graph.py new file mode 100644 index 00000000..57992a04 --- /dev/null +++ b/graphrag/index/utils/load_graph.py @@ -0,0 +1,11 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Networkx load_graph utility definition.""" + +import networkx as nx + + +def load_graph(graphml: str | nx.Graph) -> nx.Graph: + """Load a graph from a graphml file or a networkx graph.""" + return nx.parse_graphml(graphml) if isinstance(graphml, str) else graphml diff --git a/graphrag/index/utils/string.py b/graphrag/index/utils/string.py new file mode 100644 index 00000000..7e1654bb --- /dev/null +++ b/graphrag/index/utils/string.py @@ -0,0 +1,19 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""String utilities.""" + +import html +import re +from typing import Any + + +def clean_str(input: Any) -> str: + """Clean an input string by removing HTML escapes, control characters, and other unwanted characters.""" + # If we get non-string input, just give it back + if not isinstance(input, str): + return input + + result = html.unescape(input.strip()) + # https://stackoverflow.com/questions/4324790/removing-control-characters-from-a-string-in-python + return re.sub(r"[\x00-\x1f\x7f-\x9f]", "", result) diff --git a/graphrag/index/utils/tokens.py b/graphrag/index/utils/tokens.py new file mode 100644 index 00000000..e308c81f --- /dev/null +++ b/graphrag/index/utils/tokens.py @@ -0,0 +1,33 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Utilities for working with tokens.""" + +import tiktoken + +DEFAULT_ENCODING_NAME = "cl100k_base" + + +def num_tokens_from_string( + string: str, model: str | None = None, encoding_name: str | None = None +) -> int: + """Return the number of tokens in a text string.""" + if model is not None: + encoding = tiktoken.encoding_for_model(model) + else: + encoding = tiktoken.get_encoding(encoding_name or DEFAULT_ENCODING_NAME) + return len(encoding.encode(string)) + + +def string_from_tokens( + tokens: list[int], model: str | None = None, encoding_name: str | None = None +) -> str: + """Return a text string from a list of tokens.""" + if model is not None: + encoding = tiktoken.encoding_for_model(model) + elif encoding_name is not None: + encoding = tiktoken.get_encoding(encoding_name) + else: + msg = "Either model or encoding_name must be specified." + raise ValueError(msg) + return encoding.decode(tokens) diff --git a/graphrag/index/utils/topological_sort.py b/graphrag/index/utils/topological_sort.py new file mode 100644 index 00000000..a19b4645 --- /dev/null +++ b/graphrag/index/utils/topological_sort.py @@ -0,0 +1,12 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Topological sort utility method.""" + +from graphlib import TopologicalSorter + + +def topological_sort(graph: dict[str, list[str]]) -> list[str]: + """Topological sort.""" + ts = TopologicalSorter(graph) + return list(ts.static_order()) diff --git a/graphrag/index/utils/uuid.py b/graphrag/index/utils/uuid.py new file mode 100644 index 00000000..0671fb09 --- /dev/null +++ b/graphrag/index/utils/uuid.py @@ -0,0 +1,14 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""UUID utilities.""" + +import uuid +from random import Random, getrandbits + + +def gen_uuid(rd: Random | None = None): + """Generate a random UUID v4.""" + return uuid.UUID( + int=rd.getrandbits(128) if rd is not None else getrandbits(128), version=4 + ).hex diff --git a/graphrag/index/verbs/__init__.py b/graphrag/index/verbs/__init__.py new file mode 100644 index 00000000..379c2a37 --- /dev/null +++ b/graphrag/index/verbs/__init__.py @@ -0,0 +1,50 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing get_default_verbs method definition.""" + +from .covariates import extract_covariates +from .entities import entity_extract, summarize_descriptions +from .genid import genid +from .graph import ( + cluster_graph, + create_community_reports, + create_graph, + embed_graph, + layout_graph, + merge_graphs, + unpack_graph, +) +from .overrides import aggregate, concat, merge +from .snapshot import snapshot +from .snapshot_rows import snapshot_rows +from .spread_json import spread_json +from .text import chunk, text_embed, text_split, text_translate +from .unzip import unzip +from .zip import zip_verb + +__all__ = [ + "aggregate", + "chunk", + "cluster_graph", + "concat", + "create_community_reports", + "create_graph", + "embed_graph", + "entity_extract", + "extract_covariates", + "genid", + "layout_graph", + "merge", + "merge_graphs", + "snapshot", + "snapshot_rows", + "spread_json", + "summarize_descriptions", + "text_embed", + "text_split", + "text_translate", + "unpack_graph", + "unzip", + "zip_verb", +] diff --git a/graphrag/index/verbs/covariates/__init__.py b/graphrag/index/verbs/covariates/__init__.py new file mode 100644 index 00000000..cdebee22 --- /dev/null +++ b/graphrag/index/verbs/covariates/__init__.py @@ -0,0 +1,8 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine covariates package root.""" + +from .extract_covariates import extract_covariates + +__all__ = ["extract_covariates"] diff --git a/graphrag/index/verbs/covariates/extract_covariates/__init__.py b/graphrag/index/verbs/covariates/extract_covariates/__init__.py new file mode 100644 index 00000000..53d357bb --- /dev/null +++ b/graphrag/index/verbs/covariates/extract_covariates/__init__.py @@ -0,0 +1,8 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine text extract claims package root.""" + +from .extract_covariates import ExtractClaimsStrategyType, extract_covariates + +__all__ = ["ExtractClaimsStrategyType", "extract_covariates"] diff --git a/graphrag/index/verbs/covariates/extract_covariates/extract_covariates.py b/graphrag/index/verbs/covariates/extract_covariates/extract_covariates.py new file mode 100644 index 00000000..a67cb0fa --- /dev/null +++ b/graphrag/index/verbs/covariates/extract_covariates/extract_covariates.py @@ -0,0 +1,110 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing the extract_covariates verb definition.""" + +import logging +from dataclasses import asdict +from enum import Enum +from typing import Any, cast + +import pandas as pd +from datashaper import ( + AsyncType, + TableContainer, + VerbCallbacks, + VerbInput, + derive_from_rows, + verb, +) + +from graphrag.index.cache import PipelineCache +from graphrag.index.verbs.covariates.typing import Covariate, CovariateExtractStrategy + +log = logging.getLogger(__name__) + + +class ExtractClaimsStrategyType(str, Enum): + """ExtractClaimsStrategyType class definition.""" + + graph_intelligence = "graph_intelligence" + + def __repr__(self): + """Get a string representation.""" + return f'"{self.value}"' + + +DEFAULT_ENTITY_TYPES = ["organization", "person", "geo", "event"] + + +@verb(name="extract_covariates") +async def extract_covariates( + input: VerbInput, + cache: PipelineCache, + callbacks: VerbCallbacks, + column: str, + covariate_type: str, + strategy: dict[str, Any] | None, + async_mode: AsyncType = AsyncType.AsyncIO, + entity_types: list[str] | None = None, + **kwargs, +) -> TableContainer: + """ + Extract claims from a piece of text. + + ## Usage + TODO + """ + log.debug("extract_covariates strategy=%s", strategy) + if entity_types is None: + entity_types = DEFAULT_ENTITY_TYPES + output = cast(pd.DataFrame, input.get_input()) + + resolved_entities_map = {} + + strategy = strategy or {} + strategy_exec = load_strategy( + strategy.get("type", ExtractClaimsStrategyType.graph_intelligence) + ) + strategy_config = {**strategy} + + async def run_strategy(row): + text = row[column] + result = await strategy_exec( + text, entity_types, resolved_entities_map, callbacks, cache, strategy_config + ) + return [ + create_row_from_claim_data(row, item, covariate_type) + for item in result.covariate_data + ] + + results = await derive_from_rows( + output, + run_strategy, + callbacks, + scheduling_type=async_mode, + num_threads=kwargs.get("num_threads", 4), + ) + output = pd.DataFrame([item for row in results for item in row or []]) + return TableContainer(table=output) + + +def load_strategy(strategy_type: ExtractClaimsStrategyType) -> CovariateExtractStrategy: + """Load strategy method definition.""" + match strategy_type: + case ExtractClaimsStrategyType.graph_intelligence: + from .strategies.graph_intelligence import run as run_gi + + return run_gi + case _: + msg = f"Unknown strategy: {strategy_type}" + raise ValueError(msg) + + +def create_row_from_claim_data(row, covariate_data: Covariate, covariate_type: str): + """Create a row from the claim data and the input row.""" + item = {**row, **asdict(covariate_data), "covariate_type": covariate_type} + # TODO: doc_id from extraction isn't necessary + # since chunking happens before this + del item["doc_id"] + return item diff --git a/graphrag/index/verbs/covariates/extract_covariates/strategies/__init__.py b/graphrag/index/verbs/covariates/extract_covariates/strategies/__init__.py new file mode 100644 index 00000000..605c66f8 --- /dev/null +++ b/graphrag/index/verbs/covariates/extract_covariates/strategies/__init__.py @@ -0,0 +1,4 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine text extract claims strategies package root.""" diff --git a/graphrag/index/verbs/covariates/extract_covariates/strategies/graph_intelligence/__init__.py b/graphrag/index/verbs/covariates/extract_covariates/strategies/graph_intelligence/__init__.py new file mode 100644 index 00000000..ab01f06f --- /dev/null +++ b/graphrag/index/verbs/covariates/extract_covariates/strategies/graph_intelligence/__init__.py @@ -0,0 +1,8 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine text extract claims strategies graph intelligence package root.""" + +from .run_gi_extract_claims import run + +__all__ = ["run"] diff --git a/graphrag/index/verbs/covariates/extract_covariates/strategies/graph_intelligence/defaults.py b/graphrag/index/verbs/covariates/extract_covariates/strategies/graph_intelligence/defaults.py new file mode 100644 index 00000000..846bfa81 --- /dev/null +++ b/graphrag/index/verbs/covariates/extract_covariates/strategies/graph_intelligence/defaults.py @@ -0,0 +1,21 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A file containing MOCK_LLM_RESPONSES definition.""" + +MOCK_LLM_RESPONSES = [ + """ +[ + { + "subject": "COMPANY A", + "object": "GOVERNMENT AGENCY B", + "type": "ANTI-COMPETITIVE PRACTICES", + "status": "TRUE", + "start_date": "2022-01-10T00:00:00", + "end_date": "2022-01-10T00:00:00", + "description": "Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10", + "source_text": ["According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B."] + } +] + """.strip() +] diff --git a/graphrag/index/verbs/covariates/extract_covariates/strategies/graph_intelligence/run_gi_extract_claims.py b/graphrag/index/verbs/covariates/extract_covariates/strategies/graph_intelligence/run_gi_extract_claims.py new file mode 100644 index 00000000..f047c44a --- /dev/null +++ b/graphrag/index/verbs/covariates/extract_covariates/strategies/graph_intelligence/run_gi_extract_claims.py @@ -0,0 +1,105 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing run and _run_chain methods definitions.""" + +from collections.abc import Iterable +from typing import Any + +from datashaper import VerbCallbacks + +from graphrag.config.enums import LLMType +from graphrag.index.cache import PipelineCache +from graphrag.index.graph.extractors.claims import ClaimExtractor +from graphrag.index.llm import load_llm +from graphrag.index.verbs.covariates.typing import ( + Covariate, + CovariateExtractionResult, +) +from graphrag.llm import CompletionLLM + +from .defaults import MOCK_LLM_RESPONSES + + +async def run( + input: str | Iterable[str], + entity_types: list[str], + resolved_entities_map: dict[str, str], + reporter: VerbCallbacks, + pipeline_cache: PipelineCache, + strategy_config: dict[str, Any], +) -> CovariateExtractionResult: + """Run the Claim extraction chain.""" + llm_config = strategy_config.get( + "llm", {"type": LLMType.StaticResponse, "responses": MOCK_LLM_RESPONSES} + ) + llm_type = llm_config.get("type", LLMType.StaticResponse) + llm = load_llm("claim_extraction", llm_type, reporter, pipeline_cache, llm_config) + return await _execute( + llm, input, entity_types, resolved_entities_map, reporter, strategy_config + ) + + +async def _execute( + llm: CompletionLLM, + texts: Iterable[str], + entity_types: list[str], + resolved_entities_map: dict[str, str], + reporter: VerbCallbacks, + strategy_config: dict[str, Any], +) -> CovariateExtractionResult: + extraction_prompt = strategy_config.get("extraction_prompt") + max_gleanings = strategy_config.get("max_gleanings", 0) + tuple_delimiter = strategy_config.get("tuple_delimiter") + record_delimiter = strategy_config.get("record_delimiter") + completion_delimiter = strategy_config.get("completion_delimiter") + encoding_model = strategy_config.get("encoding_name") + + extractor = ClaimExtractor( + llm_invoker=llm, + extraction_prompt=extraction_prompt, + max_gleanings=max_gleanings, + encoding_model=encoding_model, + on_error=lambda e, s, d: reporter.error("Claim Extraction Error", e, s, d) + if reporter + else None, + ) + + claim_description = strategy_config.get("claim_description") + if claim_description is None: + msg = "claim_description is required for claim extraction" + raise ValueError(msg) + + texts = [texts] if isinstance(texts, str) else texts + + results = await extractor({ + "input_text": texts, + "entity_specs": entity_types, + "resolved_entities": resolved_entities_map, + "claim_description": claim_description, + "tuple_delimiter": tuple_delimiter, + "record_delimiter": record_delimiter, + "completion_delimiter": completion_delimiter, + }) + + claim_data = results.output + return CovariateExtractionResult([create_covariate(item) for item in claim_data]) + + +def create_covariate(item: dict[str, Any]) -> Covariate: + """Create a covariate from the item.""" + return Covariate( + subject_id=item.get("subject_id"), + subject_type=item.get("subject_type"), + object_id=item.get("object_id"), + object_type=item.get("object_type"), + type=item.get("type"), + status=item.get("status"), + start_date=item.get("start_date"), + end_date=item.get("end_date"), + description=item.get("description"), + source_text=item.get("source_text"), + doc_id=item.get("doc_id"), + record_id=item.get("record_id"), + id=item.get("id"), + ) diff --git a/graphrag/index/verbs/covariates/typing.py b/graphrag/index/verbs/covariates/typing.py new file mode 100644 index 00000000..e31cfa49 --- /dev/null +++ b/graphrag/index/verbs/covariates/typing.py @@ -0,0 +1,52 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing 'Covariate' and 'CovariateExtractionResult' models.""" + +from collections.abc import Awaitable, Callable, Iterable +from dataclasses import dataclass +from typing import Any + +from datashaper import VerbCallbacks + +from graphrag.index.cache import PipelineCache + + +@dataclass +class Covariate: + """Covariate class definition.""" + + covariate_type: str | None = None + subject_id: str | None = None + subject_type: str | None = None + object_id: str | None = None + object_type: str | None = None + type: str | None = None + status: str | None = None + start_date: str | None = None + end_date: str | None = None + description: str | None = None + source_text: list[str] | None = None + doc_id: str | None = None + record_id: int | None = None + id: str | None = None + + +@dataclass +class CovariateExtractionResult: + """Covariate extraction result class definition.""" + + covariate_data: list[Covariate] + + +CovariateExtractStrategy = Callable[ + [ + Iterable[str], + list[str], + dict[str, str], + VerbCallbacks, + PipelineCache, + dict[str, Any], + ], + Awaitable[CovariateExtractionResult], +] diff --git a/graphrag/index/verbs/entities/__init__.py b/graphrag/index/verbs/entities/__init__.py new file mode 100644 index 00000000..2f55d710 --- /dev/null +++ b/graphrag/index/verbs/entities/__init__.py @@ -0,0 +1,9 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine entities package root.""" + +from .extraction import entity_extract +from .summarize import summarize_descriptions + +__all__ = ["entity_extract", "summarize_descriptions"] diff --git a/graphrag/index/verbs/entities/extraction/__init__.py b/graphrag/index/verbs/entities/extraction/__init__.py new file mode 100644 index 00000000..46e6d545 --- /dev/null +++ b/graphrag/index/verbs/entities/extraction/__init__.py @@ -0,0 +1,8 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine entities extraction package root.""" + +from .entity_extract import ExtractEntityStrategyType, entity_extract + +__all__ = ["ExtractEntityStrategyType", "entity_extract"] diff --git a/graphrag/index/verbs/entities/extraction/entity_extract.py b/graphrag/index/verbs/entities/extraction/entity_extract.py new file mode 100644 index 00000000..9be302ae --- /dev/null +++ b/graphrag/index/verbs/entities/extraction/entity_extract.py @@ -0,0 +1,202 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing entity_extract methods.""" + +import logging +from enum import Enum +from typing import Any, cast + +import pandas as pd +from datashaper import ( + AsyncType, + TableContainer, + VerbCallbacks, + VerbInput, + derive_from_rows, + verb, +) + +from graphrag.index.bootstrap import bootstrap +from graphrag.index.cache import PipelineCache + +from .strategies.typing import Document, EntityExtractStrategy + +log = logging.getLogger(__name__) + + +class ExtractEntityStrategyType(str, Enum): + """ExtractEntityStrategyType class definition.""" + + graph_intelligence = "graph_intelligence" + graph_intelligence_json = "graph_intelligence_json" + nltk = "nltk" + + def __repr__(self): + """Get a string representation.""" + return f'"{self.value}"' + + +DEFAULT_ENTITY_TYPES = ["organization", "person", "geo", "event"] + + +@verb(name="entity_extract") +async def entity_extract( + input: VerbInput, + cache: PipelineCache, + callbacks: VerbCallbacks, + column: str, + id_column: str, + to: str, + strategy: dict[str, Any] | None, + graph_to: str | None = None, + async_mode: AsyncType = AsyncType.AsyncIO, + entity_types=DEFAULT_ENTITY_TYPES, + **kwargs, +) -> TableContainer: + """ + Extract entities from a piece of text. + + ## Usage + ### json + ```json + { + "verb": "entity_extract", + "args": { + "column": "the_document_text_column_to_extract_entities_from", /* In general this will be your document text column */ + "id_column": "the_column_with_the_unique_id_for_each_row", /* In general this will be your document id */ + "to": "the_column_to_output_the_entities_to", /* This will be a list[dict[str, Any]] a list of entities, with a name, and additional attributes */ + "graph_to": "the_column_to_output_the_graphml_to", /* Optional: This will be a graphml graph in string form which represents the entities and their relationships */ + "strategy": {...} , see strategies section below + "entity_types": ["list", "of", "entity", "types", "to", "extract"] /* Optional: This will limit the entity types extracted, default: ["organization", "person", "geo", "event"] */ + "summarize_descriptions" : true | false /* Optional: This will summarize the descriptions of the entities and relationships, default: true */ + } + } + ``` + ### yaml + ```yaml + verb: entity_extract + args: + column: the_document_text_column_to_extract_entities_from + id_column: the_column_with_the_unique_id_for_each_row + to: the_column_to_output_the_entities_to + graph_to: the_column_to_output_the_graphml_to + strategy: , see strategies section below + summarize_descriptions: true | false /* Optional: This will summarize the descriptions of the entities and relationships, default: true */ + entity_types: + - list + - of + - entity + - types + - to + - extract + ``` + + ## Strategies + The entity extract verb uses a strategy to extract entities from a document. The strategy is a json object which defines the strategy to use. The following strategies are available: + + ### graph_intelligence + This strategy uses the [graph_intelligence] library to extract entities from a document. In particular it uses a LLM to extract entities from a piece of text. The strategy config is as follows: + + ```yml + strategy: + type: graph_intelligence + extraction_prompt: !include ./entity_extraction_prompt.txt # Optional, the prompt to use for extraction + completion_delimiter: "<|COMPLETE|>" # Optional, the delimiter to use for the LLM to mark completion + tuple_delimiter: "<|>" # Optional, the delimiter to use for the LLM to mark a tuple + record_delimiter: "##" # Optional, the delimiter to use for the LLM to mark a record + + prechunked: true | false # Optional, If the document is already chunked beforehand, otherwise this will chunk the document into smaller bits. default: false + encoding_name: cl100k_base # Optional, The encoding to use for the LLM, if not already prechunked, default: cl100k_base + chunk_size: 2500 # Optional ,The chunk size to use for the LLM, if not already prechunked, default: 2500 + chunk_overlap: 300 # Optional, The chunk overlap to use for the LLM, if not already prechunked, default: 300 + + llm: # The configuration for the LLM + type: openai # the type of llm to use, available options are: openai, azure, openai_chat, azure_openai_chat. The last two being chat based LLMs. + api_key: !ENV ${GRAPHRAG_OPENAI_API_KEY} # The api key to use for openai + model: !ENV ${GRAPHRAG_OPENAI_MODEL:gpt-4-turbo-preview} # The model to use for openai + max_tokens: !ENV ${GRAPHRAG_MAX_TOKENS:6000} # The max tokens to use for openai + organization: !ENV ${GRAPHRAG_OPENAI_ORGANIZATION} # The organization to use for openai + + # if using azure flavor + api_base: !ENV ${GRAPHRAG_OPENAI_API_BASE} # The api base to use for azure + api_version: !ENV ${GRAPHRAG_OPENAI_API_VERSION} # The api version to use for azure + proxy: !ENV ${GRAPHRAG_OPENAI_PROXY} # The proxy to use for azure + + ``` + + ### nltk + This strategy uses the [nltk] library to extract entities from a document. In particular it uses a nltk to extract entities from a piece of text. The strategy config is as follows: + ```yml + strategy: + type: nltk + ``` + """ + log.debug("entity_extract strategy=%s", strategy) + if entity_types is None: + entity_types = DEFAULT_ENTITY_TYPES + output = cast(pd.DataFrame, input.get_input()) + strategy = strategy or {} + strategy_exec = _load_strategy( + strategy.get("type", ExtractEntityStrategyType.graph_intelligence) + ) + strategy_config = {**strategy} + + num_started = 0 + + async def run_strategy(row): + nonlocal num_started + text = row[column] + id = row[id_column] + result = await strategy_exec( + [Document(text=text, id=id)], + entity_types, + callbacks, + cache, + strategy_config, + ) + num_started += 1 + return [result.entities, result.graphml_graph] + + results = await derive_from_rows( + output, + run_strategy, + callbacks, + scheduling_type=async_mode, + num_threads=kwargs.get("num_threads", 4), + ) + + to_result = [] + graph_to_result = [] + for result in results: + if result: + to_result.append(result[0]) + graph_to_result.append(result[1]) + else: + to_result.append(None) + graph_to_result.append(None) + + output[to] = to_result + if graph_to is not None: + output[graph_to] = graph_to_result + + return TableContainer(table=output.reset_index(drop=True)) + + +def _load_strategy(strategy_type: ExtractEntityStrategyType) -> EntityExtractStrategy: + """Load strategy method definition.""" + match strategy_type: + case ExtractEntityStrategyType.graph_intelligence: + from .strategies.graph_intelligence import run_gi + + return run_gi + + case ExtractEntityStrategyType.nltk: + bootstrap() + # dynamically import nltk strategy to avoid dependency if not used + from .strategies.nltk import run as run_nltk + + return run_nltk + case _: + msg = f"Unknown strategy: {strategy_type}" + raise ValueError(msg) diff --git a/graphrag/index/verbs/entities/extraction/strategies/__init__.py b/graphrag/index/verbs/entities/extraction/strategies/__init__.py new file mode 100644 index 00000000..f5cc17d7 --- /dev/null +++ b/graphrag/index/verbs/entities/extraction/strategies/__init__.py @@ -0,0 +1,4 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine entities extraction strategies package root.""" diff --git a/graphrag/index/verbs/entities/extraction/strategies/graph_intelligence/__init__.py b/graphrag/index/verbs/entities/extraction/strategies/graph_intelligence/__init__.py new file mode 100644 index 00000000..083c0e41 --- /dev/null +++ b/graphrag/index/verbs/entities/extraction/strategies/graph_intelligence/__init__.py @@ -0,0 +1,8 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine graph intelligence package root.""" + +from .run_graph_intelligence import run_gi + +__all__ = ["run_gi"] diff --git a/graphrag/index/verbs/entities/extraction/strategies/graph_intelligence/defaults.py b/graphrag/index/verbs/entities/extraction/strategies/graph_intelligence/defaults.py new file mode 100644 index 00000000..237e6657 --- /dev/null +++ b/graphrag/index/verbs/entities/extraction/strategies/graph_intelligence/defaults.py @@ -0,0 +1,25 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A file containing some default responses.""" + +from graphrag.config.enums import LLMType + +MOCK_LLM_RESPONSES = [ + """ + ("entity"<|>COMPANY_A<|>COMPANY<|>Company_A is a test company) + ## + ("entity"<|>COMPANY_B<|>COMPANY<|>Company_B owns Company_A and also shares an address with Company_A) + ## + ("entity"<|>PERSON_C<|>PERSON<|>Person_C is director of Company_A) + ## + ("relationship"<|>COMPANY_A<|>COMPANY_B<|>Company_A and Company_B are related because Company_A is 100% owned by Company_B and the two companies also share the same address)<|>2) + ## + ("relationship"<|>COMPANY_A<|>PERSON_C<|>Company_A and Person_C are related because Person_C is director of Company_A<|>1)) + """.strip() +] + +DEFAULT_LLM_CONFIG = { + "type": LLMType.StaticResponse, + "responses": MOCK_LLM_RESPONSES, +} diff --git a/graphrag/index/verbs/entities/extraction/strategies/graph_intelligence/run_graph_intelligence.py b/graphrag/index/verbs/entities/extraction/strategies/graph_intelligence/run_graph_intelligence.py new file mode 100644 index 00000000..997808f4 --- /dev/null +++ b/graphrag/index/verbs/entities/extraction/strategies/graph_intelligence/run_graph_intelligence.py @@ -0,0 +1,141 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing run_gi, run_extract_entities and _create_text_splitter methods to run graph intelligence.""" + +import networkx as nx +from datashaper import VerbCallbacks + +from graphrag.config.enums import LLMType +from graphrag.index.cache import PipelineCache +from graphrag.index.graph.extractors.graph import GraphExtractor +from graphrag.index.llm import load_llm +from graphrag.index.text_splitting import ( + NoopTextSplitter, + TextSplitter, + TokenTextSplitter, +) +from graphrag.index.verbs.entities.extraction.strategies.typing import ( + Document, + EntityExtractionResult, + EntityTypes, + StrategyConfig, +) +from graphrag.llm import CompletionLLM + +from .defaults import DEFAULT_LLM_CONFIG + + +async def run_gi( + docs: list[Document], + entity_types: EntityTypes, + reporter: VerbCallbacks, + pipeline_cache: PipelineCache, + args: StrategyConfig, +) -> EntityExtractionResult: + """Run the graph intelligence entity extraction strategy.""" + llm_config = args.get("llm", DEFAULT_LLM_CONFIG) + llm_type = llm_config.get("type", LLMType.StaticResponse) + llm = load_llm("entity_extraction", llm_type, reporter, pipeline_cache, llm_config) + return await run_extract_entities(llm, docs, entity_types, reporter, args) + + +async def run_extract_entities( + llm: CompletionLLM, + docs: list[Document], + entity_types: EntityTypes, + reporter: VerbCallbacks | None, + args: StrategyConfig, +) -> EntityExtractionResult: + """Run the entity extraction chain.""" + encoding_name = args.get("encoding_name", "cl100k_base") + + # Chunking Arguments + prechunked = args.get("prechunked", False) + chunk_size = args.get("chunk_size", 2500) + chunk_overlap = args.get("chunk_overlap", 300) + + # Extraction Arguments + tuple_delimiter = args.get("tuple_delimiter", None) + record_delimiter = args.get("record_delimiter", None) + completion_delimiter = args.get("completion_delimiter", None) + extraction_prompt = args.get("extraction_prompt", None) + encoding_model = args.get("encoding_name", None) + max_gleanings = args.get("max_gleanings", None) + + # note: We're not using UnipartiteGraphChain.from_params + # because we want to pass "timeout" to the llm_kwargs + text_splitter = _create_text_splitter( + prechunked, chunk_size, chunk_overlap, encoding_name + ) + + extractor = GraphExtractor( + llm_invoker=llm, + prompt=extraction_prompt, + encoding_model=encoding_model, + max_gleanings=max_gleanings, + on_error=lambda e, s, d: ( + reporter.error("Entity Extraction Error", e, s, d) if reporter else None + ), + ) + text_list = [doc.text.strip() for doc in docs] + + # If it's not pre-chunked, then re-chunk the input + if not prechunked: + text_list = text_splitter.split_text("\n".join(text_list)) + + results = await extractor( + list(text_list), + { + "entity_types": entity_types, + "tuple_delimiter": tuple_delimiter, + "record_delimiter": record_delimiter, + "completion_delimiter": completion_delimiter, + }, + ) + + graph = results.output + # Map the "source_id" back to the "id" field + for _, node in graph.nodes(data=True): # type: ignore + if node is not None: + node["source_id"] = ",".join( + docs[int(id)].id for id in node["source_id"].split(",") + ) + + for _, _, edge in graph.edges(data=True): # type: ignore + if edge is not None: + edge["source_id"] = ",".join( + docs[int(id)].id for id in edge["source_id"].split(",") + ) + + entities = [ + ({"name": item[0], **(item[1] or {})}) + for item in graph.nodes(data=True) + if item is not None + ] + + graph_data = "".join(nx.generate_graphml(graph)) + return EntityExtractionResult(entities, graph_data) + + +def _create_text_splitter( + prechunked: bool, chunk_size: int, chunk_overlap: int, encoding_name: str +) -> TextSplitter: + """Create a text splitter for the extraction chain. + + Args: + - prechunked - Whether the text is already chunked + - chunk_size - The size of each chunk + - chunk_overlap - The overlap between chunks + - encoding_name - The name of the encoding to use + Returns: + - output - A text splitter + """ + if prechunked: + return NoopTextSplitter() + + return TokenTextSplitter( + chunk_size=chunk_size, + chunk_overlap=chunk_overlap, + encoding_name=encoding_name, + ) diff --git a/graphrag/index/verbs/entities/extraction/strategies/nltk.py b/graphrag/index/verbs/entities/extraction/strategies/nltk.py new file mode 100644 index 00000000..48d4dae4 --- /dev/null +++ b/graphrag/index/verbs/entities/extraction/strategies/nltk.py @@ -0,0 +1,61 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing run method definition.""" + +import networkx as nx +import nltk +from datashaper import VerbCallbacks +from nltk.corpus import words + +from graphrag.index.cache import PipelineCache + +from .typing import Document, EntityExtractionResult, EntityTypes, StrategyConfig + +# Need to do this cause we're potentially multithreading, and nltk doesn't like that +words.ensure_loaded() + + +async def run( # noqa RUF029 async is required for interface + docs: list[Document], + entity_types: EntityTypes, + reporter: VerbCallbacks, # noqa ARG001 + pipeline_cache: PipelineCache, # noqa ARG001 + args: StrategyConfig, # noqa ARG001 +) -> EntityExtractionResult: + """Run method definition.""" + entity_map = {} + graph = nx.Graph() + for doc in docs: + connected_entities = [] + for chunk in nltk.ne_chunk(nltk.pos_tag(nltk.word_tokenize(doc.text))): + if hasattr(chunk, "label"): + entity_type = chunk.label().lower() + if entity_type in entity_types: + name = (" ".join(c[0] for c in chunk)).upper() + connected_entities.append(name) + if name not in entity_map: + entity_map[name] = entity_type + graph.add_node( + name, type=entity_type, description=name, source_id=doc.id + ) + + # connect the entities if they appear in the same document + if len(connected_entities) > 1: + for i in range(len(connected_entities)): + for j in range(i + 1, len(connected_entities)): + description = f"{connected_entities[i]} -> {connected_entities[j]}" + graph.add_edge( + connected_entities[i], + connected_entities[j], + description=description, + source_id=doc.id, + ) + + return EntityExtractionResult( + entities=[ + {"type": entity_type, "name": name} + for name, entity_type in entity_map.items() + ], + graphml_graph="".join(nx.generate_graphml(graph)), + ) diff --git a/graphrag/index/verbs/entities/extraction/strategies/typing.py b/graphrag/index/verbs/entities/extraction/strategies/typing.py new file mode 100644 index 00000000..45d3f1b8 --- /dev/null +++ b/graphrag/index/verbs/entities/extraction/strategies/typing.py @@ -0,0 +1,44 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing 'Document' and 'EntityExtractionResult' models.""" + +from collections.abc import Awaitable, Callable +from dataclasses import dataclass +from typing import Any + +from datashaper import VerbCallbacks + +from graphrag.index.cache import PipelineCache + +ExtractedEntity = dict[str, Any] +StrategyConfig = dict[str, Any] +EntityTypes = list[str] + + +@dataclass +class Document: + """Document class definition.""" + + text: str + id: str + + +@dataclass +class EntityExtractionResult: + """Entity extraction result class definition.""" + + entities: list[ExtractedEntity] + graphml_graph: str | None + + +EntityExtractStrategy = Callable[ + [ + list[Document], + EntityTypes, + VerbCallbacks, + PipelineCache, + StrategyConfig, + ], + Awaitable[EntityExtractionResult], +] diff --git a/graphrag/index/verbs/entities/summarize/__init__.py b/graphrag/index/verbs/entities/summarize/__init__.py new file mode 100644 index 00000000..9ba40129 --- /dev/null +++ b/graphrag/index/verbs/entities/summarize/__init__.py @@ -0,0 +1,8 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Root package for resolution entities.""" + +from .description_summarize import SummarizeStrategyType, summarize_descriptions + +__all__ = ["SummarizeStrategyType", "summarize_descriptions"] diff --git a/graphrag/index/verbs/entities/summarize/description_summarize.py b/graphrag/index/verbs/entities/summarize/description_summarize.py new file mode 100644 index 00000000..5b7feb41 --- /dev/null +++ b/graphrag/index/verbs/entities/summarize/description_summarize.py @@ -0,0 +1,207 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing the summarize_descriptions verb.""" + +import asyncio +import logging +from enum import Enum +from typing import Any, NamedTuple, cast + +import networkx as nx +import pandas as pd +from datashaper import ( + ProgressTicker, + TableContainer, + VerbCallbacks, + VerbInput, + progress_ticker, + verb, +) + +from graphrag.index.cache import PipelineCache +from graphrag.index.utils import load_graph + +from .strategies.typing import SummarizationStrategy + +log = logging.getLogger(__name__) + + +class DescriptionSummarizeRow(NamedTuple): + """DescriptionSummarizeRow class definition.""" + + graph: Any + + +class SummarizeStrategyType(str, Enum): + """SummarizeStrategyType class definition.""" + + graph_intelligence = "graph_intelligence" + + def __repr__(self): + """Get a string representation.""" + return f'"{self.value}"' + + +@verb(name="summarize_descriptions") +async def summarize_descriptions( + input: VerbInput, + cache: PipelineCache, + callbacks: VerbCallbacks, + column: str, + to: str, + strategy: dict[str, Any] | None = None, + **kwargs, +) -> TableContainer: + """ + Summarize entity and relationship descriptions from an entity graph. + + ## Usage + + To turn this feature ON please set the environment variable `GRAPHRAG_SUMMARIZE_DESCRIPTIONS_ENABLED=True`. + + ### json + + ```json + { + "verb": "", + "args": { + "column": "the_document_text_column_to_extract_descriptions_from", /* Required: This will be a graphml graph in string form which represents the entities and their relationships */ + "to": "the_column_to_output_the_summarized_descriptions_to", /* Required: This will be a graphml graph in string form which represents the entities and their relationships after being summarized */ + "strategy": {...} , see strategies section below + } + } + ``` + + ### yaml + + ```yaml + verb: entity_extract + args: + column: the_document_text_column_to_extract_descriptions_from + to: the_column_to_output_the_summarized_descriptions_to + strategy: , see strategies section below + ``` + + ## Strategies + + The summarize descriptions verb uses a strategy to summarize descriptions for entities. The strategy is a json object which defines the strategy to use. The following strategies are available: + + ### graph_intelligence + + This strategy uses the [graph_intelligence] library to summarize descriptions for entities. The strategy config is as follows: + + ```yml + strategy: + type: graph_intelligence + summarize_prompt: # Optional, the prompt to use for extraction + + + llm: # The configuration for the LLM + type: openai # the type of llm to use, available options are: openai, azure, openai_chat, azure_openai_chat. The last two being chat based LLMs. + api_key: !ENV ${GRAPHRAG_OPENAI_API_KEY} # The api key to use for openai + model: !ENV ${GRAPHRAG_OPENAI_MODEL:gpt-4-turbo-preview} # The model to use for openai + max_tokens: !ENV ${GRAPHRAG_MAX_TOKENS:6000} # The max tokens to use for openai + organization: !ENV ${GRAPHRAG_OPENAI_ORGANIZATION} # The organization to use for openai + + # if using azure flavor + api_base: !ENV ${GRAPHRAG_OPENAI_API_BASE} # The api base to use for azure + api_version: !ENV ${GRAPHRAG_OPENAI_API_VERSION} # The api version to use for azure + proxy: !ENV ${GRAPHRAG_OPENAI_PROXY} # The proxy to use for azure + ``` + """ + log.debug("summarize_descriptions strategy=%s", strategy) + output = cast(pd.DataFrame, input.get_input()) + strategy = strategy or {} + strategy_exec = load_strategy( + strategy.get("type", SummarizeStrategyType.graph_intelligence) + ) + strategy_config = {**strategy} + + async def get_resolved_entities(row, semaphore: asyncio.Semaphore): + graph: nx.Graph = load_graph(cast(str | nx.Graph, getattr(row, column))) + + ticker_length = len(graph.nodes) + len(graph.edges) + + ticker = progress_ticker(callbacks.progress, ticker_length) + + futures = [ + do_summarize_descriptions( + node, + sorted(set(graph.nodes[node].get("description", "").split("\n"))), + ticker, + semaphore, + ) + for node in graph.nodes() + ] + futures += [ + do_summarize_descriptions( + edge, + sorted(set(graph.edges[edge].get("description", "").split("\n"))), + ticker, + semaphore, + ) + for edge in graph.edges() + ] + + results = await asyncio.gather(*futures) + + for result in results: + graph_item = result.items + if isinstance(graph_item, str) and graph_item in graph.nodes(): + graph.nodes[graph_item]["description"] = result.description + elif isinstance(graph_item, tuple) and graph_item in graph.edges(): + graph.edges[graph_item]["description"] = result.description + + return DescriptionSummarizeRow( + graph="\n".join(nx.generate_graphml(graph)), + ) + + async def do_summarize_descriptions( + graph_item: str | tuple[str, str], + descriptions: list[str], + ticker: ProgressTicker, + semaphore: asyncio.Semaphore, + ): + async with semaphore: + results = await strategy_exec( + graph_item, + descriptions, + callbacks, + cache, + strategy_config, + ) + ticker(1) + return results + + # Graph is always on row 0, so here a derive from rows does not work + # This iteration will only happen once, but avoids hardcoding a iloc[0] + # Since parallelization is at graph level (nodes and edges), we can't use + # the parallelization of the derive_from_rows + semaphore = asyncio.Semaphore(kwargs.get("num_threads", 4)) + + results = [ + await get_resolved_entities(row, semaphore) for row in output.itertuples() + ] + + to_result = [] + + for result in results: + if result: + to_result.append(result.graph) + else: + to_result.append(None) + output[to] = to_result + return TableContainer(table=output) + + +def load_strategy(strategy_type: SummarizeStrategyType) -> SummarizationStrategy: + """Load strategy method definition.""" + match strategy_type: + case SummarizeStrategyType.graph_intelligence: + from .strategies.graph_intelligence import run as run_gi + + return run_gi + case _: + msg = f"Unknown strategy: {strategy_type}" + raise ValueError(msg) diff --git a/graphrag/index/verbs/entities/summarize/strategies/__init__.py b/graphrag/index/verbs/entities/summarize/strategies/__init__.py new file mode 100644 index 00000000..28c398e6 --- /dev/null +++ b/graphrag/index/verbs/entities/summarize/strategies/__init__.py @@ -0,0 +1,8 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Indexing Engine - Summarization Strategies Package.""" + +from .typing import SummarizationStrategy + +__all__ = ["SummarizationStrategy"] diff --git a/graphrag/index/verbs/entities/summarize/strategies/graph_intelligence/__init__.py b/graphrag/index/verbs/entities/summarize/strategies/graph_intelligence/__init__.py new file mode 100644 index 00000000..665600d0 --- /dev/null +++ b/graphrag/index/verbs/entities/summarize/strategies/graph_intelligence/__init__.py @@ -0,0 +1,8 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Entity Resolution graph intelligence package root.""" + +from .run_graph_intelligence import run + +__all__ = ["run"] diff --git a/graphrag/index/verbs/entities/summarize/strategies/graph_intelligence/defaults.py b/graphrag/index/verbs/entities/summarize/strategies/graph_intelligence/defaults.py new file mode 100644 index 00000000..8ac42aa1 --- /dev/null +++ b/graphrag/index/verbs/entities/summarize/strategies/graph_intelligence/defaults.py @@ -0,0 +1,17 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A file containing some default responses.""" + +from graphrag.config.enums import LLMType + +MOCK_LLM_RESPONSES = [ + """ + This is a MOCK response for the LLM. It is summarized! + """.strip() +] + +DEFAULT_LLM_CONFIG = { + "type": LLMType.StaticResponse, + "responses": MOCK_LLM_RESPONSES, +} diff --git a/graphrag/index/verbs/entities/summarize/strategies/graph_intelligence/run_graph_intelligence.py b/graphrag/index/verbs/entities/summarize/strategies/graph_intelligence/run_graph_intelligence.py new file mode 100644 index 00000000..57a1ecd2 --- /dev/null +++ b/graphrag/index/verbs/entities/summarize/strategies/graph_intelligence/run_graph_intelligence.py @@ -0,0 +1,70 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing run_gi, run_resolve_entities and _create_text_list_splitter methods to run graph intelligence.""" + +from datashaper import VerbCallbacks + +from graphrag.config.enums import LLMType +from graphrag.index.cache import PipelineCache +from graphrag.index.graph.extractors.summarize import SummarizeExtractor +from graphrag.index.llm import load_llm +from graphrag.index.verbs.entities.summarize.strategies.typing import ( + StrategyConfig, + SummarizedDescriptionResult, +) +from graphrag.llm import CompletionLLM + +from .defaults import DEFAULT_LLM_CONFIG + + +async def run( + described_items: str | tuple[str, str], + descriptions: list[str], + reporter: VerbCallbacks, + pipeline_cache: PipelineCache, + args: StrategyConfig, +) -> SummarizedDescriptionResult: + """Run the graph intelligence entity extraction strategy.""" + llm_config = args.get("llm", DEFAULT_LLM_CONFIG) + llm_type = llm_config.get("type", LLMType.StaticResponse) + llm = load_llm( + "summarize_descriptions", llm_type, reporter, pipeline_cache, llm_config + ) + return await run_summarize_descriptions( + llm, described_items, descriptions, reporter, args + ) + + +async def run_summarize_descriptions( + llm: CompletionLLM, + items: str | tuple[str, str], + descriptions: list[str], + reporter: VerbCallbacks, + args: StrategyConfig, +) -> SummarizedDescriptionResult: + """Run the entity extraction chain.""" + # Extraction Arguments + summarize_prompt = args.get("summarize_prompt", None) + entity_name_key = args.get("entity_name_key", "entity_name") + input_descriptions_key = args.get("input_descriptions_key", "description_list") + max_tokens = args.get("max_tokens", None) + + extractor = SummarizeExtractor( + llm_invoker=llm, + summarization_prompt=summarize_prompt, + entity_name_key=entity_name_key, + input_descriptions_key=input_descriptions_key, + on_error=lambda e, stack, details: ( + reporter.error("Entity Extraction Error", e, stack, details) + if reporter + else None + ), + max_summary_length=args.get("max_summary_length", None), + max_input_tokens=max_tokens, + ) + + result = await extractor(items=items, descriptions=descriptions) + return SummarizedDescriptionResult( + items=result.items, description=result.description + ) diff --git a/graphrag/index/verbs/entities/summarize/strategies/typing.py b/graphrag/index/verbs/entities/summarize/strategies/typing.py new file mode 100644 index 00000000..e950cedc --- /dev/null +++ b/graphrag/index/verbs/entities/summarize/strategies/typing.py @@ -0,0 +1,34 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing 'ResolvedEntity' and 'EntityResolutionResult' models.""" + +from collections.abc import Awaitable, Callable +from dataclasses import dataclass +from typing import Any + +from datashaper import VerbCallbacks + +from graphrag.index.cache import PipelineCache + +StrategyConfig = dict[str, Any] + + +@dataclass +class SummarizedDescriptionResult: + """Entity summarization result class definition.""" + + items: str | tuple[str, str] + description: str + + +SummarizationStrategy = Callable[ + [ + str | tuple[str, str], + list[str], + VerbCallbacks, + PipelineCache, + StrategyConfig, + ], + Awaitable[SummarizedDescriptionResult], +] diff --git a/graphrag/index/verbs/genid.py b/graphrag/index/verbs/genid.py new file mode 100644 index 00000000..019ffc2d --- /dev/null +++ b/graphrag/index/verbs/genid.py @@ -0,0 +1,66 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing genid method definition.""" + +from typing import cast + +import pandas as pd +from datashaper import TableContainer, VerbInput, verb + +from graphrag.index.utils import gen_md5_hash + + +@verb(name="genid") +def genid( + input: VerbInput, + to: str, + method: str = "md5_hash", + hash: list[str] = [], # noqa A002 + **_kwargs: dict, +) -> TableContainer: + """ + Generate a unique id for each row in the tabular data. + + ## Usage + ### json + ```json + { + "verb": "genid", + "args": { + "to": "id_output_column_name", /* The name of the column to output the id to */ + "method": "md5_hash", /* The method to use to generate the id */ + "hash": ["list", "of", "column", "names"] /* only if using md5_hash */, + "seed": 034324 /* The random seed to use with UUID */ + } + } + ``` + + ### yaml + ```yaml + verb: genid + args: + to: id_output_column_name + method: md5_hash + hash: + - list + - of + - column + - names + seed: 034324 + ``` + """ + data = cast(pd.DataFrame, input.source.table) + + if method == "md5_hash": + if len(hash) == 0: + msg = 'Must specify the "hash" columns to use md5_hash method' + raise ValueError(msg) + + data[to] = data.apply(lambda row: gen_md5_hash(row, hash), axis=1) + elif method == "increment": + data[to] = data.index + 1 + else: + msg = f"Unknown method {method}" + raise ValueError(msg) + return TableContainer(table=data) diff --git a/graphrag/index/verbs/graph/__init__.py b/graphrag/index/verbs/graph/__init__.py new file mode 100644 index 00000000..5edbdbe5 --- /dev/null +++ b/graphrag/index/verbs/graph/__init__.py @@ -0,0 +1,36 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine graph package root.""" + +from .clustering import cluster_graph +from .compute_edge_combined_degree import compute_edge_combined_degree +from .create import DEFAULT_EDGE_ATTRIBUTES, DEFAULT_NODE_ATTRIBUTES, create_graph +from .embed import embed_graph +from .layout import layout_graph +from .merge import merge_graphs +from .report import ( + create_community_reports, + prepare_community_reports, + prepare_community_reports_claims, + prepare_community_reports_edges, + restore_community_hierarchy, +) +from .unpack import unpack_graph + +__all__ = [ + "DEFAULT_EDGE_ATTRIBUTES", + "DEFAULT_NODE_ATTRIBUTES", + "cluster_graph", + "compute_edge_combined_degree", + "create_community_reports", + "create_graph", + "embed_graph", + "layout_graph", + "merge_graphs", + "prepare_community_reports", + "prepare_community_reports_claims", + "prepare_community_reports_edges", + "restore_community_hierarchy", + "unpack_graph", +] diff --git a/graphrag/index/verbs/graph/clustering/__init__.py b/graphrag/index/verbs/graph/clustering/__init__.py new file mode 100644 index 00000000..a5db89bb --- /dev/null +++ b/graphrag/index/verbs/graph/clustering/__init__.py @@ -0,0 +1,8 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine graph clustering package root.""" + +from .cluster_graph import GraphCommunityStrategyType, cluster_graph + +__all__ = ["GraphCommunityStrategyType", "cluster_graph"] diff --git a/graphrag/index/verbs/graph/clustering/cluster_graph.py b/graphrag/index/verbs/graph/clustering/cluster_graph.py new file mode 100644 index 00000000..e8be50e8 --- /dev/null +++ b/graphrag/index/verbs/graph/clustering/cluster_graph.py @@ -0,0 +1,176 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing cluster_graph, apply_clustering and run_layout methods definition.""" + +import logging +from enum import Enum +from random import Random +from typing import Any, cast + +import networkx as nx +import pandas as pd +from datashaper import TableContainer, VerbCallbacks, VerbInput, progress_iterable, verb + +from graphrag.index.utils import gen_uuid, load_graph + +from .typing import Communities + +log = logging.getLogger(__name__) + + +@verb(name="cluster_graph") +def cluster_graph( + input: VerbInput, + callbacks: VerbCallbacks, + strategy: dict[str, Any], + column: str, + to: str, + level_to: str | None = None, + **_kwargs, +) -> TableContainer: + """ + Apply a hierarchical clustering algorithm to a graph. The graph is expected to be in graphml format. The verb outputs a new column containing the clustered graph, and a new column containing the level of the graph. + + ## Usage + ```yaml + verb: cluster_graph + args: + column: entity_graph # The name of the column containing the graph, should be a graphml graph + to: clustered_graph # The name of the column to output the clustered graph to + level_to: level # The name of the column to output the level to + strategy: # See strategies section below + ``` + + ## Strategies + The cluster graph verb uses a strategy to cluster the graph. The strategy is a json object which defines the strategy to use. The following strategies are available: + + ### leiden + This strategy uses the leiden algorithm to cluster a graph. The strategy config is as follows: + ```yaml + strategy: + type: leiden + max_cluster_size: 10 # Optional, The max cluster size to use, default: 10 + use_lcc: true # Optional, if the largest connected component should be used with the leiden algorithm, default: true + seed: 0xDEADBEEF # Optional, the seed to use for the leiden algorithm, default: 0xDEADBEEF + levels: [0, 1] # Optional, the levels to output, default: all the levels detected + + ``` + """ + output_df = cast(pd.DataFrame, input.get_input()) + results = output_df[column].apply(lambda graph: run_layout(strategy, graph)) + + community_map_to = "communities" + output_df[community_map_to] = results + + level_to = level_to or f"{to}_level" + output_df[level_to] = output_df.apply( + lambda x: list({level for level, _, _ in x[community_map_to]}), axis=1 + ) + output_df[to] = [None] * len(output_df) + + num_total = len(output_df) + + # Go through each of the rows + graph_level_pairs_column: list[list[tuple[int, str]]] = [] + for _, row in progress_iterable( + output_df.iterrows(), callbacks.progress, num_total + ): + levels = row[level_to] + graph_level_pairs: list[tuple[int, str]] = [] + + # For each of the levels, get the graph and add it to the list + for level in levels: + graph = "\n".join( + nx.generate_graphml( + apply_clustering( + cast(str, row[column]), + cast(Communities, row[community_map_to]), + level, + ) + ) + ) + graph_level_pairs.append((level, graph)) + graph_level_pairs_column.append(graph_level_pairs) + output_df[to] = graph_level_pairs_column + + # explode the list of (level, graph) pairs into separate rows + output_df = output_df.explode(to, ignore_index=True) + + # split the (level, graph) pairs into separate columns + # TODO: There is probably a better way to do this + output_df[[level_to, to]] = pd.DataFrame( + output_df[to].tolist(), index=output_df.index + ) + + # clean up the community map + output_df.drop(columns=[community_map_to], inplace=True) + + return TableContainer(table=output_df) + + +# TODO: This should support str | nx.Graph as a graphml param +def apply_clustering( + graphml: str, communities: Communities, level=0, seed=0xF001 +) -> nx.Graph: + """Apply clustering to a graphml string.""" + random = Random(seed) # noqa S311 + graph = nx.parse_graphml(graphml) + for community_level, community_id, nodes in communities: + if level == community_level: + for node in nodes: + graph.nodes[node]["cluster"] = community_id + graph.nodes[node]["level"] = level + + # add node degree + for node_degree in graph.degree: + graph.nodes[str(node_degree[0])]["degree"] = int(node_degree[1]) + + # add node uuid and incremental record id (a human readable id used as reference in the final report) + for index, node in enumerate(graph.nodes()): + graph.nodes[node]["human_readable_id"] = index + graph.nodes[node]["id"] = str(gen_uuid(random)) + + # add ids to edges + for index, edge in enumerate(graph.edges()): + graph.edges[edge]["id"] = str(gen_uuid(random)) + graph.edges[edge]["human_readable_id"] = index + graph.edges[edge]["level"] = level + return graph + + +class GraphCommunityStrategyType(str, Enum): + """GraphCommunityStrategyType class definition.""" + + leiden = "leiden" + + def __repr__(self): + """Get a string representation.""" + return f'"{self.value}"' + + +def run_layout( + strategy: dict[str, Any], graphml_or_graph: str | nx.Graph +) -> Communities: + """Run layout method definition.""" + graph = load_graph(graphml_or_graph) + if len(graph.nodes) == 0: + log.warning("Graph has no nodes") + return [] + + clusters: dict[int, dict[str, list[str]]] = {} + strategy_type = strategy.get("type", GraphCommunityStrategyType.leiden) + match strategy_type: + case GraphCommunityStrategyType.leiden: + from .strategies.leiden import run as run_leiden + + clusters = run_leiden(graph, strategy) + case _: + msg = f"Unknown clustering strategy {strategy_type}" + raise ValueError(msg) + + results: Communities = [] + for level in clusters: + for cluster_id, nodes in clusters[level].items(): + results.append((level, cluster_id, nodes)) + return results diff --git a/graphrag/index/verbs/graph/clustering/strategies/__init__.py b/graphrag/index/verbs/graph/clustering/strategies/__init__.py new file mode 100644 index 00000000..16a03f12 --- /dev/null +++ b/graphrag/index/verbs/graph/clustering/strategies/__init__.py @@ -0,0 +1,4 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Graph Clustering Strategies.""" diff --git a/graphrag/index/verbs/graph/clustering/strategies/leiden.py b/graphrag/index/verbs/graph/clustering/strategies/leiden.py new file mode 100644 index 00000000..ffc36880 --- /dev/null +++ b/graphrag/index/verbs/graph/clustering/strategies/leiden.py @@ -0,0 +1,69 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing run and _compute_leiden_communities methods definitions.""" + +import logging +from typing import Any + +import networkx as nx +from graspologic.partition import hierarchical_leiden + +from graphrag.index.graph.utils import stable_largest_connected_component + +log = logging.getLogger(__name__) + + +def run(graph: nx.Graph, args: dict[str, Any]) -> dict[int, dict[str, list[str]]]: + """Run method definition.""" + max_cluster_size = args.get("max_cluster_size", 10) + use_lcc = args.get("use_lcc", True) + if args.get("verbose", False): + log.info( + "Running leiden with max_cluster_size=%s, lcc=%s", max_cluster_size, use_lcc + ) + + node_id_to_community_map = _compute_leiden_communities( + graph=graph, + max_cluster_size=max_cluster_size, + use_lcc=use_lcc, + seed=args.get("seed", 0xDEADBEEF), + ) + levels = args.get("levels") + + # If they don't pass in levels, use them all + if levels is None: + levels = sorted(node_id_to_community_map.keys()) + + results_by_level: dict[int, dict[str, list[str]]] = {} + for level in levels: + result = {} + results_by_level[level] = result + for node_id, raw_community_id in node_id_to_community_map[level].items(): + community_id = str(raw_community_id) + if community_id not in result: + result[community_id] = [] + result[community_id].append(node_id) + return results_by_level + + +# Taken from graph_intelligence & adapted +def _compute_leiden_communities( + graph: nx.Graph | nx.DiGraph, + max_cluster_size: int, + use_lcc: bool, + seed=0xDEADBEEF, +) -> dict[int, dict[str, int]]: + """Return Leiden root communities.""" + if use_lcc: + graph = stable_largest_connected_component(graph) + + community_mapping = hierarchical_leiden( + graph, max_cluster_size=max_cluster_size, random_seed=seed + ) + results: dict[int, dict[str, int]] = {} + for partition in community_mapping: + results[partition.level] = results.get(partition.level, {}) + results[partition.level][partition.node] = partition.cluster + + return results diff --git a/graphrag/index/verbs/graph/clustering/typing.py b/graphrag/index/verbs/graph/clustering/typing.py new file mode 100644 index 00000000..4d6fc7e6 --- /dev/null +++ b/graphrag/index/verbs/graph/clustering/typing.py @@ -0,0 +1,6 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing Communities list definition.""" + +Communities = list[tuple[int, str, list[str]]] diff --git a/graphrag/index/verbs/graph/compute_edge_combined_degree.py b/graphrag/index/verbs/graph/compute_edge_combined_degree.py new file mode 100644 index 00000000..1f2dd719 --- /dev/null +++ b/graphrag/index/verbs/graph/compute_edge_combined_degree.py @@ -0,0 +1,70 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing create_graph, _get_node_attributes, _get_edge_attributes and _get_attribute_column_mapping methods definition.""" + +from typing import cast + +import pandas as pd +from datashaper import TableContainer, VerbInput, verb + +from graphrag.index.utils.ds_util import get_required_input_table + + +@verb(name="compute_edge_combined_degree") +def compute_edge_combined_degree( + input: VerbInput, + to: str = "rank", + node_name_column: str = "title", + node_degree_column: str = "degree", + edge_source_column: str = "source", + edge_target_column: str = "target", + **_kwargs, +) -> TableContainer: + """ + Compute the combined degree for each edge in a graph. + + Inputs Tables: + - input: The edge table + - nodes: The nodes table. + + Args: + - to: The name of the column to output the combined degree to. Default="rank" + """ + edge_df: pd.DataFrame = cast(pd.DataFrame, input.get_input()) + if to in edge_df.columns: + return TableContainer(table=edge_df) + node_degree_df = _get_node_degree_table(input, node_name_column, node_degree_column) + + def join_to_degree(df: pd.DataFrame, column: str) -> pd.DataFrame: + degree_column = _degree_colname(column) + result = df.merge( + node_degree_df.rename( + columns={node_name_column: column, node_degree_column: degree_column} + ), + on=column, + how="left", + ) + result[degree_column] = result[degree_column].fillna(0) + return result + + edge_df = join_to_degree(edge_df, edge_source_column) + edge_df = join_to_degree(edge_df, edge_target_column) + edge_df[to] = ( + edge_df[_degree_colname(edge_source_column)] + + edge_df[_degree_colname(edge_target_column)] + ) + + return TableContainer(table=edge_df) + + +def _degree_colname(column: str) -> str: + return f"{column}_degree" + + +def _get_node_degree_table( + input: VerbInput, node_name_column: str, node_degree_column: str +) -> pd.DataFrame: + nodes_container = get_required_input_table(input, "nodes") + nodes = cast(pd.DataFrame, nodes_container.table) + return cast(pd.DataFrame, nodes[[node_name_column, node_degree_column]]) diff --git a/graphrag/index/verbs/graph/create.py b/graphrag/index/verbs/graph/create.py new file mode 100644 index 00000000..eaf06284 --- /dev/null +++ b/graphrag/index/verbs/graph/create.py @@ -0,0 +1,135 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing create_graph, _get_node_attributes, _get_edge_attributes and _get_attribute_column_mapping methods definition.""" + +from typing import Any + +import networkx as nx +import pandas as pd +from datashaper import TableContainer, VerbCallbacks, VerbInput, progress_iterable, verb + +from graphrag.index.utils import clean_str + +DEFAULT_NODE_ATTRIBUTES = ["label", "type", "id", "name", "description", "community"] +DEFAULT_EDGE_ATTRIBUTES = ["label", "type", "name", "source", "target"] + + +@verb(name="create_graph") +def create_graph( + input: VerbInput, + callbacks: VerbCallbacks, + to: str, + type: str, # noqa A002 + graph_type: str = "undirected", + **kwargs, +) -> TableContainer: + """ + Create a graph from a dataframe. The verb outputs a new column containing the graph. + + > Note: This will roll up all rows into a single graph. + + ## Usage + ```yaml + verb: create_graph + args: + type: node # The type of graph to create, one of: node, edge + to: # The name of the column to output the graph to, this will be a graphml graph + attributes: # The attributes for the nodes / edges + # If using the node type, the following attributes are required: + id: + + # If using the edge type, the following attributes are required: + source: + target: + + # Other attributes can be added as follows: + : + ... for each attribute + ``` + """ + if type != "node" and type != "edge": + msg = f"Unknown type {type}" + raise ValueError(msg) + + input_df = input.get_input() + num_total = len(input_df) + out_graph: nx.Graph = _create_nx_graph(graph_type) + + in_attributes = ( + _get_node_attributes(kwargs) if type == "node" else _get_edge_attributes(kwargs) + ) + + # At this point, _get_node_attributes and _get_edge_attributes have already validated + id_col = in_attributes.get( + "id", in_attributes.get("label", in_attributes.get("name", None)) + ) + source_col = in_attributes.get("source", None) + target_col = in_attributes.get("target", None) + + for _, row in progress_iterable(input_df.iterrows(), callbacks.progress, num_total): + item_attributes = { + clean_str(key): _clean_value(row[value]) + for key, value in in_attributes.items() + if value in row + } + if type == "node": + id = clean_str(row[id_col]) + out_graph.add_node(id, **item_attributes) + elif type == "edge": + source = clean_str(row[source_col]) + target = clean_str(row[target_col]) + out_graph.add_edge(source, target, **item_attributes) + + graphml_string = "".join(nx.generate_graphml(out_graph)) + output_df = pd.DataFrame([{to: graphml_string}]) + return TableContainer(table=output_df) + + +def _clean_value(value: Any) -> str: + if value is None: + return "" + if isinstance(value, str): + return clean_str(value) + + msg = f"Value must be a string or None, got {type(value)}" + raise TypeError(msg) + + +def _get_node_attributes(args: dict[str, Any]) -> dict[str, Any]: + mapping = _get_attribute_column_mapping( + args.get("attributes", DEFAULT_NODE_ATTRIBUTES) + ) + if "id" not in mapping and "label" not in mapping and "name" not in mapping: + msg = "You must specify an id, label, or name column in the node attributes" + raise ValueError(msg) + return mapping + + +def _get_edge_attributes(args: dict[str, Any]) -> dict[str, Any]: + mapping = _get_attribute_column_mapping( + args.get("attributes", DEFAULT_EDGE_ATTRIBUTES) + ) + if "source" not in mapping or "target" not in mapping: + msg = "You must specify a source and target column in the edge attributes" + raise ValueError(msg) + return mapping + + +def _get_attribute_column_mapping( + in_attributes: dict[str, Any] | list[str], +) -> dict[str, str]: + # Its already a attribute: column dict + if isinstance(in_attributes, dict): + return { + **in_attributes, + } + + return {attrib: attrib for attrib in in_attributes} + + +def _create_nx_graph(graph_type: str) -> nx.Graph: + if graph_type == "directed": + return nx.DiGraph() + + return nx.Graph() diff --git a/graphrag/index/verbs/graph/embed/__init__.py b/graphrag/index/verbs/graph/embed/__init__.py new file mode 100644 index 00000000..4ca8168c --- /dev/null +++ b/graphrag/index/verbs/graph/embed/__init__.py @@ -0,0 +1,8 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine graph embed package root.""" + +from .embed_graph import EmbedGraphStrategyType, embed_graph + +__all__ = ["EmbedGraphStrategyType", "embed_graph"] diff --git a/graphrag/index/verbs/graph/embed/embed_graph.py b/graphrag/index/verbs/graph/embed/embed_graph.py new file mode 100644 index 00000000..8691d343 --- /dev/null +++ b/graphrag/index/verbs/graph/embed/embed_graph.py @@ -0,0 +1,98 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing embed_graph and run_embeddings methods definition.""" + +from enum import Enum +from typing import Any, cast + +import networkx as nx +import pandas as pd +from datashaper import TableContainer, VerbCallbacks, VerbInput, derive_from_rows, verb + +from graphrag.index.utils import load_graph + +from .typing import NodeEmbeddings + + +class EmbedGraphStrategyType(str, Enum): + """EmbedGraphStrategyType class definition.""" + + node2vec = "node2vec" + + def __repr__(self): + """Get a string representation.""" + return f'"{self.value}"' + + +@verb(name="embed_graph") +async def embed_graph( + input: VerbInput, + callbacks: VerbCallbacks, + strategy: dict[str, Any], + column: str, + to: str, + **kwargs, +) -> TableContainer: + """ + Embed a graph into a vector space. The graph is expected to be in graphml format. The verb outputs a new column containing a mapping between node_id and vector. + + ## Usage + ```yaml + verb: embed_graph + args: + column: clustered_graph # The name of the column containing the graph, should be a graphml graph + to: embeddings # The name of the column to output the embeddings to + strategy: # See strategies section below + ``` + + ## Strategies + The embed_graph verb uses a strategy to embed the graph. The strategy is an object which defines the strategy to use. The following strategies are available: + + ### node2vec + This strategy uses the node2vec algorithm to embed a graph. The strategy config is as follows: + + ```yaml + strategy: + type: node2vec + dimensions: 1536 # Optional, The number of dimensions to use for the embedding, default: 1536 + num_walks: 10 # Optional, The number of walks to use for the embedding, default: 10 + walk_length: 40 # Optional, The walk length to use for the embedding, default: 40 + window_size: 2 # Optional, The window size to use for the embedding, default: 2 + iterations: 3 # Optional, The number of iterations to use for the embedding, default: 3 + random_seed: 86 # Optional, The random seed to use for the embedding, default: 86 + ``` + """ + output_df = cast(pd.DataFrame, input.get_input()) + + strategy_type = strategy.get("type", EmbedGraphStrategyType.node2vec) + strategy_args = {**strategy} + + async def run_strategy(row): # noqa RUF029 async is required for interface + return run_embeddings(strategy_type, cast(Any, row[column]), strategy_args) + + results = await derive_from_rows( + output_df, + run_strategy, + callbacks=callbacks, + num_threads=kwargs.get("num_threads", None), + ) + output_df[to] = list(results) + return TableContainer(table=output_df) + + +def run_embeddings( + strategy: EmbedGraphStrategyType, + graphml_or_graph: str | nx.Graph, + args: dict[str, Any], +) -> NodeEmbeddings: + """Run embeddings method definition.""" + graph = load_graph(graphml_or_graph) + match strategy: + case EmbedGraphStrategyType.node2vec: + from .strategies.node_2_vec import run as run_node_2_vec + + return run_node_2_vec(graph, args) + case _: + msg = f"Unknown strategy {strategy}" + raise ValueError(msg) diff --git a/graphrag/index/verbs/graph/embed/strategies/__init__.py b/graphrag/index/verbs/graph/embed/strategies/__init__.py new file mode 100644 index 00000000..ef85198e --- /dev/null +++ b/graphrag/index/verbs/graph/embed/strategies/__init__.py @@ -0,0 +1,4 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Text Embedding strategies.""" diff --git a/graphrag/index/verbs/graph/embed/strategies/node_2_vec.py b/graphrag/index/verbs/graph/embed/strategies/node_2_vec.py new file mode 100644 index 00000000..eb329519 --- /dev/null +++ b/graphrag/index/verbs/graph/embed/strategies/node_2_vec.py @@ -0,0 +1,34 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing run method definition.""" + +from typing import Any + +import networkx as nx + +from graphrag.index.graph.embedding import embed_nod2vec +from graphrag.index.graph.utils import stable_largest_connected_component +from graphrag.index.verbs.graph.embed.typing import NodeEmbeddings + + +def run(graph: nx.Graph, args: dict[str, Any]) -> NodeEmbeddings: + """Run method definition.""" + if args.get("use_lcc", True): + graph = stable_largest_connected_component(graph) + + # create graph embedding using node2vec + embeddings = embed_nod2vec( + graph=graph, + dimensions=args.get("dimensions", 1536), + num_walks=args.get("num_walks", 10), + walk_length=args.get("walk_length", 40), + window_size=args.get("window_size", 2), + iterations=args.get("iterations", 3), + random_seed=args.get("random_seed", 86), + ) + + pairs = zip(embeddings.nodes, embeddings.embeddings.tolist(), strict=True) + sorted_pairs = sorted(pairs, key=lambda x: x[0]) + + return dict(sorted_pairs) diff --git a/graphrag/index/verbs/graph/embed/typing.py b/graphrag/index/verbs/graph/embed/typing.py new file mode 100644 index 00000000..fea792c9 --- /dev/null +++ b/graphrag/index/verbs/graph/embed/typing.py @@ -0,0 +1,12 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing different lists and dictionaries.""" + +# Use this for now instead of a wrapper +from typing import Any + +NodeList = list[str] +EmbeddingList = list[Any] +NodeEmbeddings = dict[str, list[float]] +"""Label -> Embedding""" diff --git a/graphrag/index/verbs/graph/layout/__init__.py b/graphrag/index/verbs/graph/layout/__init__.py new file mode 100644 index 00000000..74584f83 --- /dev/null +++ b/graphrag/index/verbs/graph/layout/__init__.py @@ -0,0 +1,8 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine graph layout package root.""" + +from .layout_graph import layout_graph + +__all__ = ["layout_graph"] diff --git a/graphrag/index/verbs/graph/layout/layout_graph.py b/graphrag/index/verbs/graph/layout/layout_graph.py new file mode 100644 index 00000000..e1b55b11 --- /dev/null +++ b/graphrag/index/verbs/graph/layout/layout_graph.py @@ -0,0 +1,139 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing layout_graph, _run_layout and _apply_layout_to_graph methods definition.""" + +from enum import Enum +from typing import Any, cast + +import networkx as nx +import pandas as pd +from datashaper import TableContainer, VerbCallbacks, VerbInput, progress_callback, verb + +from graphrag.index.graph.visualization import GraphLayout +from graphrag.index.utils import load_graph +from graphrag.index.verbs.graph.embed.typing import NodeEmbeddings + + +class LayoutGraphStrategyType(str, Enum): + """LayoutGraphStrategyType class definition.""" + + umap = "umap" + zero = "zero" + + def __repr__(self): + """Get a string representation.""" + return f'"{self.value}"' + + +@verb(name="layout_graph") +def layout_graph( + input: VerbInput, + callbacks: VerbCallbacks, + strategy: dict[str, Any], + embeddings_column: str, + graph_column: str, + to: str, + graph_to: str | None = None, + **_kwargs: dict, +) -> TableContainer: + """ + Apply a layout algorithm to a graph. The graph is expected to be in graphml format. The verb outputs a new column containing the laid out graph. + + ## Usage + ```yaml + verb: layout_graph + args: + graph_column: clustered_graph # The name of the column containing the graph, should be a graphml graph + embeddings_column: embeddings # The name of the column containing the embeddings + to: node_positions # The name of the column to output the node positions to + graph_to: positioned_graph # The name of the column to output the positioned graph to + strategy: # See strategies section below + ``` + + ## Strategies + The layout graph verb uses a strategy to layout the graph. The strategy is a json object which defines the strategy to use. The following strategies are available: + + ### umap + This strategy uses the umap algorithm to layout a graph. The strategy config is as follows: + ```yaml + strategy: + type: umap + n_neighbors: 5 # Optional, The number of neighbors to use for the umap algorithm, default: 5 + min_dist: 0.75 # Optional, The min distance to use for the umap algorithm, default: 0.75 + ``` + """ + output_df = cast(pd.DataFrame, input.get_input()) + + num_items = len(output_df) + strategy_type = strategy.get("type", LayoutGraphStrategyType.umap) + strategy_args = {**strategy} + + has_embeddings = embeddings_column in output_df.columns + + layouts = output_df.apply( + progress_callback( + lambda row: _run_layout( + strategy_type, + row[graph_column], + row[embeddings_column] if has_embeddings else {}, + strategy_args, + callbacks, + ), + callbacks.progress, + num_items, + ), + axis=1, + ) + output_df[to] = layouts.apply(lambda layout: [pos.to_pandas() for pos in layout]) + if graph_to is not None: + output_df[graph_to] = output_df.apply( + lambda row: _apply_layout_to_graph( + row[graph_column], cast(GraphLayout, layouts[row.name]) + ), + axis=1, + ) + return TableContainer(table=output_df) + + +def _run_layout( + strategy: LayoutGraphStrategyType, + graphml_or_graph: str | nx.Graph, + embeddings: NodeEmbeddings, + args: dict[str, Any], + reporter: VerbCallbacks, +) -> GraphLayout: + graph = load_graph(graphml_or_graph) + match strategy: + case LayoutGraphStrategyType.umap: + from .methods.umap import run as run_umap + + return run_umap( + graph, + embeddings, + args, + lambda e, stack, d: reporter.error("Error in Umap", e, stack, d), + ) + case LayoutGraphStrategyType.zero: + from .methods.zero import run as run_zero + + return run_zero( + graph, + args, + lambda e, stack, d: reporter.error("Error in Zero", e, stack, d), + ) + case _: + msg = f"Unknown strategy {strategy}" + raise ValueError(msg) + + +def _apply_layout_to_graph( + graphml_or_graph: str | nx.Graph, layout: GraphLayout +) -> str: + graph = load_graph(graphml_or_graph) + for node_position in layout: + if node_position.label in graph.nodes: + graph.nodes[node_position.label]["x"] = node_position.x + graph.nodes[node_position.label]["y"] = node_position.y + graph.nodes[node_position.label]["size"] = node_position.size + return "\n".join(nx.generate_graphml(graph)) diff --git a/graphrag/index/verbs/graph/layout/methods/__init__.py b/graphrag/index/verbs/graph/layout/methods/__init__.py new file mode 100644 index 00000000..5d505412 --- /dev/null +++ b/graphrag/index/verbs/graph/layout/methods/__init__.py @@ -0,0 +1,4 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Graph Layout Methods.""" diff --git a/graphrag/index/verbs/graph/layout/methods/umap.py b/graphrag/index/verbs/graph/layout/methods/umap.py new file mode 100644 index 00000000..a4bc7c28 --- /dev/null +++ b/graphrag/index/verbs/graph/layout/methods/umap.py @@ -0,0 +1,82 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing run and _create_node_position methods definitions.""" + +import logging +import traceback +from typing import Any + +import networkx as nx +import numpy as np + +from graphrag.index.graph.visualization import ( + GraphLayout, + NodePosition, + compute_umap_positions, +) +from graphrag.index.typing import ErrorHandlerFn +from graphrag.index.verbs.graph.embed.typing import NodeEmbeddings + +# TODO: This could be handled more elegantly, like what columns to use +# for "size" or "cluster" +# We could also have a boolean to indicate to use node sizes or clusters + +log = logging.getLogger(__name__) + + +def run( + graph: nx.Graph, + embeddings: NodeEmbeddings, + args: dict[str, Any], + on_error: ErrorHandlerFn, +) -> GraphLayout: + """Run method definition.""" + node_clusters = [] + node_sizes = [] + + embeddings = _filter_raw_embeddings(embeddings) + nodes = list(embeddings.keys()) + embedding_vectors = [embeddings[node_id] for node_id in nodes] + + for node_id in nodes: + node = graph.nodes[node_id] + cluster = node.get("cluster", node.get("community", -1)) + node_clusters.append(cluster) + size = node.get("degree", node.get("size", 0)) + node_sizes.append(size) + + additional_args = {} + if len(node_clusters) > 0: + additional_args["node_categories"] = node_clusters + if len(node_sizes) > 0: + additional_args["node_sizes"] = node_sizes + + try: + return compute_umap_positions( + embedding_vectors=np.array(embedding_vectors), + node_labels=nodes, + **additional_args, + min_dist=args.get("min_dist", 0.75), + n_neighbors=args.get("n_neighbors", 5), + ) + except Exception as e: + log.exception("Error running UMAP") + on_error(e, traceback.format_exc(), None) + # Umap may fail due to input sparseness or memory pressure. + # For now, in these cases, we'll just return a layout with all nodes at (0, 0) + result = [] + for i in range(len(nodes)): + cluster = node_clusters[i] if len(node_clusters) > 0 else 1 + result.append( + NodePosition(x=0, y=0, label=nodes[i], size=0, cluster=str(cluster)) + ) + return result + + +def _filter_raw_embeddings(embeddings: NodeEmbeddings) -> NodeEmbeddings: + return { + node_id: embedding + for node_id, embedding in embeddings.items() + if embedding is not None + } diff --git a/graphrag/index/verbs/graph/layout/methods/zero.py b/graphrag/index/verbs/graph/layout/methods/zero.py new file mode 100644 index 00000000..f41d2d4c --- /dev/null +++ b/graphrag/index/verbs/graph/layout/methods/zero.py @@ -0,0 +1,63 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing run and _create_node_position methods definitions.""" + +import logging +import traceback +from typing import Any + +import networkx as nx + +from graphrag.index.graph.visualization import ( + GraphLayout, + NodePosition, + get_zero_positions, +) +from graphrag.index.typing import ErrorHandlerFn + +# TODO: This could be handled more elegantly, like what columns to use +# for "size" or "cluster" +# We could also have a boolean to indicate to use node sizes or clusters + +log = logging.getLogger(__name__) + + +def run( + graph: nx.Graph, + _args: dict[str, Any], + on_error: ErrorHandlerFn, +) -> GraphLayout: + """Run method definition.""" + node_clusters = [] + node_sizes = [] + + nodes = list(graph.nodes) + + for node_id in nodes: + node = graph.nodes[node_id] + cluster = node.get("cluster", node.get("community", -1)) + node_clusters.append(cluster) + size = node.get("degree", node.get("size", 0)) + node_sizes.append(size) + + additional_args = {} + if len(node_clusters) > 0: + additional_args["node_categories"] = node_clusters + if len(node_sizes) > 0: + additional_args["node_sizes"] = node_sizes + + try: + return get_zero_positions(node_labels=nodes, **additional_args) + except Exception as e: + log.exception("Error running zero-position") + on_error(e, traceback.format_exc(), None) + # Umap may fail due to input sparseness or memory pressure. + # For now, in these cases, we'll just return a layout with all nodes at (0, 0) + result = [] + for i in range(len(nodes)): + cluster = node_clusters[i] if len(node_clusters) > 0 else 1 + result.append( + NodePosition(x=0, y=0, label=nodes[i], size=0, cluster=str(cluster)) + ) + return result diff --git a/graphrag/index/verbs/graph/merge/__init__.py b/graphrag/index/verbs/graph/merge/__init__.py new file mode 100644 index 00000000..f7188279 --- /dev/null +++ b/graphrag/index/verbs/graph/merge/__init__.py @@ -0,0 +1,8 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine graph merge package root.""" + +from .merge_graphs import merge_graphs + +__all__ = ["merge_graphs"] diff --git a/graphrag/index/verbs/graph/merge/defaults.py b/graphrag/index/verbs/graph/merge/defaults.py new file mode 100644 index 00000000..80c60331 --- /dev/null +++ b/graphrag/index/verbs/graph/merge/defaults.py @@ -0,0 +1,21 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A file containing DEFAULT_NODE_OPERATIONS, DEFAULT_EDGE_OPERATIONS and DEFAULT_CONCAT_SEPARATOR values definition.""" + +from .typing import BasicMergeOperation + +DEFAULT_NODE_OPERATIONS = { + "*": { + "operation": BasicMergeOperation.Replace, + } +} + +DEFAULT_EDGE_OPERATIONS = { + "*": { + "operation": BasicMergeOperation.Replace, + }, + "weight": "sum", +} + +DEFAULT_CONCAT_SEPARATOR = "," diff --git a/graphrag/index/verbs/graph/merge/merge_graphs.py b/graphrag/index/verbs/graph/merge/merge_graphs.py new file mode 100644 index 00000000..8ab3fa47 --- /dev/null +++ b/graphrag/index/verbs/graph/merge/merge_graphs.py @@ -0,0 +1,217 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing merge_graphs, merge_nodes, merge_edges, merge_attributes, apply_merge_operation and _get_detailed_attribute_merge_operation methods definitions.""" + +from typing import Any, cast + +import networkx as nx +import pandas as pd +from datashaper import TableContainer, VerbCallbacks, VerbInput, progress_iterable, verb + +from graphrag.index.utils import load_graph + +from .defaults import ( + DEFAULT_CONCAT_SEPARATOR, + DEFAULT_EDGE_OPERATIONS, + DEFAULT_NODE_OPERATIONS, +) +from .typing import ( + BasicMergeOperation, + DetailedAttributeMergeOperation, + NumericOperation, + StringOperation, +) + + +@verb(name="merge_graphs") +def merge_graphs( + input: VerbInput, + callbacks: VerbCallbacks, + column: str, + to: str, + nodes: dict[str, Any] = DEFAULT_NODE_OPERATIONS, + edges: dict[str, Any] = DEFAULT_EDGE_OPERATIONS, + **_kwargs, +) -> TableContainer: + """ + Merge multiple graphs together. The graphs are expected to be in graphml format. The verb outputs a new column containing the merged graph. + + > Note: This will merge all rows into a single graph. + + ## Usage + ```yaml + verb: merge_graph + args: + column: clustered_graph # The name of the column containing the graph, should be a graphml graph + to: merged_graph # The name of the column to output the merged graph to + nodes: # See node operations section below + edges: # See edge operations section below + ``` + + ## Node Operations + The merge graph verb can perform operations on the nodes of the graph. + + ### Usage + ```yaml + nodes: + : + ... for each attribute or use the special value "*" for all attributes + ``` + + ## Edge Operations + The merge graph verb can perform operations on the nodes of the graph. + + ### Usage + ```yaml + edges: + : + ... for each attribute or use the special value "*" for all attributes + ``` + + ## Operations + The merge graph verb can perform operations on the nodes and edges of the graph. The following operations are available: + + - __replace__: This operation replaces the attribute with the last value seen. + - __skip__: This operation skips the attribute, and just uses the first value seen. + - __concat__: This operation concatenates the attribute with the last value seen. + - __sum__: This operation sums the attribute with the last value seen. + - __max__: This operation takes the max of the attribute with the last value seen. + max + - __min__: This operation takes the min of the attribute with the last value seen. + - __average__: This operation takes the mean of the attribute with the last value seen. + - __multiply__: This operation multiplies the attribute with the last value seen. + """ + input_df = input.get_input() + output = pd.DataFrame() + + node_ops = { + attrib: _get_detailed_attribute_merge_operation(value) + for attrib, value in nodes.items() + } + edge_ops = { + attrib: _get_detailed_attribute_merge_operation(value) + for attrib, value in edges.items() + } + + mega_graph = nx.Graph() + num_total = len(input_df) + for graphml in progress_iterable(input_df[column], callbacks.progress, num_total): + graph = load_graph(cast(str | nx.Graph, graphml)) + merge_nodes(mega_graph, graph, node_ops) + merge_edges(mega_graph, graph, edge_ops) + + output[to] = ["\n".join(nx.generate_graphml(mega_graph))] + + return TableContainer(table=output) + + +def merge_nodes( + target: nx.Graph, + subgraph: nx.Graph, + node_ops: dict[str, DetailedAttributeMergeOperation], +): + """Merge nodes from subgraph into target using the operations defined in node_ops.""" + for node in subgraph.nodes: + if node not in target.nodes: + target.add_node(node, **(subgraph.nodes[node] or {})) + else: + merge_attributes(target.nodes[node], subgraph.nodes[node], node_ops) + + +def merge_edges( + target_graph: nx.Graph, + subgraph: nx.Graph, + edge_ops: dict[str, DetailedAttributeMergeOperation], +): + """Merge edges from subgraph into target using the operations defined in edge_ops.""" + for source, target, edge_data in subgraph.edges(data=True): # type: ignore + if not target_graph.has_edge(source, target): + target_graph.add_edge(source, target, **(edge_data or {})) + else: + merge_attributes(target_graph.edges[(source, target)], edge_data, edge_ops) + + +def merge_attributes( + target_item: dict[str, Any] | None, + source_item: dict[str, Any] | None, + ops: dict[str, DetailedAttributeMergeOperation], +): + """Merge attributes from source_item into target_item using the operations defined in ops.""" + source_item = source_item or {} + target_item = target_item or {} + for op_attrib, op in ops.items(): + if op_attrib == "*": + for attrib in source_item: + # If there is a specific handler for this attribute, use it + # i.e. * provides a default, but you can override it + if attrib not in ops: + apply_merge_operation(target_item, source_item, attrib, op) + else: + if op_attrib in source_item or op_attrib in target_item: + apply_merge_operation(target_item, source_item, op_attrib, op) + + +def apply_merge_operation( + target_item: dict[str, Any] | None, + source_item: dict[str, Any] | None, + attrib: str, + op: DetailedAttributeMergeOperation, +): + """Apply the merge operation to the attribute.""" + source_item = source_item or {} + target_item = target_item or {} + + if ( + op.operation == BasicMergeOperation.Replace + or op.operation == StringOperation.Replace + ): + target_item[attrib] = source_item.get(attrib, None) or "" + elif ( + op.operation == BasicMergeOperation.Skip or op.operation == StringOperation.Skip + ): + target_item[attrib] = target_item.get(attrib, None) or "" + elif op.operation == StringOperation.Concat: + separator = op.separator or DEFAULT_CONCAT_SEPARATOR + target_attrib = target_item.get(attrib, "") or "" + source_attrib = source_item.get(attrib, "") or "" + target_item[attrib] = f"{target_attrib}{separator}{source_attrib}" + if op.distinct: + # TODO: Slow + target_item[attrib] = separator.join( + sorted(set(target_item[attrib].split(separator))) + ) + + # We're assuming that the attribute is numeric + elif op.operation == NumericOperation.Sum: + target_item[attrib] = (target_item.get(attrib, 0) or 0) + ( + source_item.get(attrib, 0) or 0 + ) + elif op.operation == NumericOperation.Average: + target_item[attrib] = ( + (target_item.get(attrib, 0) or 0) + (source_item.get(attrib, 0) or 0) + ) / 2 + elif op.operation == NumericOperation.Max: + target_item[attrib] = max( + (target_item.get(attrib, 0) or 0), (source_item.get(attrib, 0) or 0) + ) + elif op.operation == NumericOperation.Min: + target_item[attrib] = min( + (target_item.get(attrib, 0) or 0), (source_item.get(attrib, 0) or 0) + ) + elif op.operation == NumericOperation.Multiply: + target_item[attrib] = (target_item.get(attrib, 1) or 1) * ( + source_item.get(attrib, 1) or 1 + ) + else: + msg = f"Invalid operation {op.operation}" + raise ValueError(msg) + + +def _get_detailed_attribute_merge_operation( + value: str | dict[str, Any], +) -> DetailedAttributeMergeOperation: + """Normalize the AttributeMergeOperation into a DetailedAttributeMergeOperation.""" + if isinstance(value, str): + return DetailedAttributeMergeOperation(operation=value) + return DetailedAttributeMergeOperation(**value) diff --git a/graphrag/index/verbs/graph/merge/typing.py b/graphrag/index/verbs/graph/merge/typing.py new file mode 100644 index 00000000..0e534f51 --- /dev/null +++ b/graphrag/index/verbs/graph/merge/typing.py @@ -0,0 +1,49 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing 'BasicMergeOperation', 'StringOperation', 'NumericOperation' and 'DetailedAttributeMergeOperation' models.""" + +from dataclasses import dataclass +from enum import Enum + + +class BasicMergeOperation(str, Enum): + """Basic Merge Operation class definition.""" + + Replace = "replace" + Skip = "skip" + + +class StringOperation(str, Enum): + """String Operation class definition.""" + + Concat = "concat" + Replace = "replace" + Skip = "skip" + + +class NumericOperation(str, Enum): + """Numeric Operation class definition.""" + + Sum = "sum" + Average = "average" + Max = "max" + Min = "min" + Multiply = "multiply" + Replace = "replace" + Skip = "skip" + + +@dataclass +class DetailedAttributeMergeOperation: + """Detailed attribute merge operation class definition.""" + + operation: str # StringOperation | NumericOperation + + # concat + separator: str | None = None + delimiter: str | None = None + distinct: bool = False + + +AttributeMergeOperation = str | DetailedAttributeMergeOperation diff --git a/graphrag/index/verbs/graph/report/__init__.py b/graphrag/index/verbs/graph/report/__init__.py new file mode 100644 index 00000000..e47d9cce --- /dev/null +++ b/graphrag/index/verbs/graph/report/__init__.py @@ -0,0 +1,25 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine graph report package root.""" + +from .create_community_reports import ( + CreateCommunityReportsStrategyType, + create_community_reports, +) +from .prepare_community_reports import prepare_community_reports +from .prepare_community_reports_claims import prepare_community_reports_claims +from .prepare_community_reports_edges import prepare_community_reports_edges +from .prepare_community_reports_nodes import prepare_community_reports_nodes +from .restore_community_hierarchy import restore_community_hierarchy + +__all__ = [ + "CreateCommunityReportsStrategyType", + "create_community_reports", + "create_community_reports", + "prepare_community_reports", + "prepare_community_reports_claims", + "prepare_community_reports_edges", + "prepare_community_reports_nodes", + "restore_community_hierarchy", +] diff --git a/graphrag/index/verbs/graph/report/create_community_reports.py b/graphrag/index/verbs/graph/report/create_community_reports.py new file mode 100644 index 00000000..c67d5107 --- /dev/null +++ b/graphrag/index/verbs/graph/report/create_community_reports.py @@ -0,0 +1,131 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing create_community_reports and load_strategy methods definition.""" + +import logging +from enum import Enum +from typing import cast + +import pandas as pd +from datashaper import ( + AsyncType, + NoopVerbCallbacks, + TableContainer, + VerbCallbacks, + VerbInput, + derive_from_rows, + progress_ticker, + verb, +) + +import graphrag.config.defaults as defaults +import graphrag.index.graph.extractors.community_reports.schemas as schemas +from graphrag.index.cache import PipelineCache +from graphrag.index.graph.extractors.community_reports import ( + get_levels, + prep_community_report_context, +) +from graphrag.index.utils.ds_util import get_required_input_table + +from .strategies.typing import CommunityReport, CommunityReportsStrategy + +log = logging.getLogger(__name__) + + +class CreateCommunityReportsStrategyType(str, Enum): + """CreateCommunityReportsStrategyType class definition.""" + + graph_intelligence = "graph_intelligence" + + def __repr__(self): + """Get a string representation.""" + return f'"{self.value}"' + + +@verb(name="create_community_reports") +async def create_community_reports( + input: VerbInput, + callbacks: VerbCallbacks, + cache: PipelineCache, + strategy: dict, + async_mode: AsyncType = AsyncType.AsyncIO, + num_threads: int = 4, + **_kwargs, +) -> TableContainer: + """Generate entities for each row, and optionally a graph of those entities.""" + log.debug("create_community_reports strategy=%s", strategy) + local_contexts = cast(pd.DataFrame, input.get_input()) + nodes_ctr = get_required_input_table(input, "nodes") + nodes = cast(pd.DataFrame, nodes_ctr.table) + community_hierarchy_ctr = get_required_input_table(input, "community_hierarchy") + community_hierarchy = cast(pd.DataFrame, community_hierarchy_ctr.table) + + levels = get_levels(nodes) + reports: list[CommunityReport | None] = [] + tick = progress_ticker(callbacks.progress, len(local_contexts)) + runner = load_strategy(strategy["type"]) + + for level in levels: + level_contexts = prep_community_report_context( + pd.DataFrame(reports), + local_context_df=local_contexts, + community_hierarchy_df=community_hierarchy, + level=level, + max_tokens=strategy.get( + "max_input_tokens", defaults.COMMUNITY_REPORT_MAX_INPUT_LENGTH + ), + ) + + async def run_generate(record): + result = await _generate_report( + runner, + community_id=record[schemas.NODE_COMMUNITY], + community_level=record[schemas.COMMUNITY_LEVEL], + community_context=record[schemas.CONTEXT_STRING], + cache=cache, + callbacks=callbacks, + strategy=strategy, + ) + tick() + return result + + local_reports = await derive_from_rows( + level_contexts, + run_generate, + callbacks=NoopVerbCallbacks(), + num_threads=num_threads, + scheduling_type=async_mode, + ) + reports.extend([lr for lr in local_reports if lr is not None]) + + return TableContainer(table=pd.DataFrame(reports)) + + +async def _generate_report( + runner: CommunityReportsStrategy, + cache: PipelineCache, + callbacks: VerbCallbacks, + strategy: dict, + community_id: int | str, + community_level: int, + community_context: str, +) -> CommunityReport | None: + """Generate a report for a single community.""" + return await runner( + community_id, community_context, community_level, callbacks, cache, strategy + ) + + +def load_strategy( + strategy: CreateCommunityReportsStrategyType, +) -> CommunityReportsStrategy: + """Load strategy method definition.""" + match strategy: + case CreateCommunityReportsStrategyType.graph_intelligence: + from .strategies.graph_intelligence import run + + return run + case _: + msg = f"Unknown strategy: {strategy}" + raise ValueError(msg) diff --git a/graphrag/index/verbs/graph/report/prepare_community_reports.py b/graphrag/index/verbs/graph/report/prepare_community_reports.py new file mode 100644 index 00000000..3c9ebd45 --- /dev/null +++ b/graphrag/index/verbs/graph/report/prepare_community_reports.py @@ -0,0 +1,187 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing create_community_reports and load_strategy methods definition.""" + +import logging +from typing import cast + +import pandas as pd +from datashaper import ( + TableContainer, + VerbCallbacks, + VerbInput, + progress_iterable, + verb, +) + +import graphrag.index.graph.extractors.community_reports.schemas as schemas +from graphrag.index.graph.extractors.community_reports import ( + filter_claims_to_nodes, + filter_edges_to_nodes, + filter_nodes_to_level, + get_levels, + set_context_exceeds_flag, + set_context_size, + sort_context, +) +from graphrag.index.utils.ds_util import get_named_input_table, get_required_input_table + +log = logging.getLogger(__name__) + + +@verb(name="prepare_community_reports") +def prepare_community_reports( + input: VerbInput, + callbacks: VerbCallbacks, + max_tokens: int = 16_000, + **_kwargs, +) -> TableContainer: + """Generate entities for each row, and optionally a graph of those entities.""" + # Prepare Community Reports + node_df = cast(pd.DataFrame, get_required_input_table(input, "nodes").table) + edge_df = cast(pd.DataFrame, get_required_input_table(input, "edges").table) + claim_df = get_named_input_table(input, "claims") + if claim_df is not None: + claim_df = cast(pd.DataFrame, claim_df.table) + + levels = get_levels(node_df, schemas.NODE_LEVEL) + dfs = [] + + for level in progress_iterable(levels, callbacks.progress, len(levels)): + communities_at_level_df = _prepare_reports_at_level( + node_df, edge_df, claim_df, level, max_tokens + ) + dfs.append(communities_at_level_df) + + # build initial local context for all communities + return TableContainer(table=pd.concat(dfs)) + + +def _prepare_reports_at_level( + node_df: pd.DataFrame, + edge_df: pd.DataFrame, + claim_df: pd.DataFrame | None, + level: int, + max_tokens: int = 16_000, + community_id_column: str = schemas.COMMUNITY_ID, + node_id_column: str = schemas.NODE_ID, + node_name_column: str = schemas.NODE_NAME, + node_details_column: str = schemas.NODE_DETAILS, + node_level_column: str = schemas.NODE_LEVEL, + node_degree_column: str = schemas.NODE_DEGREE, + node_community_column: str = schemas.NODE_COMMUNITY, + edge_id_column: str = schemas.EDGE_ID, + edge_source_column: str = schemas.EDGE_SOURCE, + edge_target_column: str = schemas.EDGE_TARGET, + edge_degree_column: str = schemas.EDGE_DEGREE, + edge_details_column: str = schemas.EDGE_DETAILS, + claim_id_column: str = schemas.CLAIM_ID, + claim_subject_column: str = schemas.CLAIM_SUBJECT, + claim_details_column: str = schemas.CLAIM_DETAILS, +): + def get_edge_details(node_df: pd.DataFrame, edge_df: pd.DataFrame, name_col: str): + return node_df.merge( + cast( + pd.DataFrame, + edge_df[[name_col, schemas.EDGE_DETAILS]], + ).rename(columns={name_col: schemas.NODE_NAME}), + on=schemas.NODE_NAME, + how="left", + ) + + level_node_df = filter_nodes_to_level(node_df, level) + log.info("Number of nodes at level=%s => %s", level, len(level_node_df)) + nodes = level_node_df[node_name_column].tolist() + + # Filter edges & claims to those containing the target nodes + level_edge_df = filter_edges_to_nodes(edge_df, nodes) + level_claim_df = ( + filter_claims_to_nodes(claim_df, nodes) if claim_df is not None else None + ) + + # concat all edge details per node + merged_node_df = pd.concat( + [ + get_edge_details(level_node_df, level_edge_df, edge_source_column), + get_edge_details(level_node_df, level_edge_df, edge_target_column), + ], + axis=0, + ) + merged_node_df = ( + merged_node_df.groupby([ + node_name_column, + node_community_column, + node_degree_column, + node_level_column, + ]) + .agg({node_details_column: "first", edge_details_column: list}) + .reset_index() + ) + + # concat claim details per node + if level_claim_df is not None: + merged_node_df = merged_node_df.merge( + cast( + pd.DataFrame, + level_claim_df[[claim_subject_column, claim_details_column]], + ).rename(columns={claim_subject_column: node_name_column}), + on=node_name_column, + how="left", + ) + merged_node_df = ( + merged_node_df.groupby([ + node_name_column, + node_community_column, + node_level_column, + node_degree_column, + ]) + .agg({ + node_details_column: "first", + edge_details_column: "first", + **({claim_details_column: list} if level_claim_df is not None else {}), + }) + .reset_index() + ) + + # concat all node details, including name, degree, node_details, edge_details, and claim_details + merged_node_df[schemas.ALL_CONTEXT] = merged_node_df.apply( + lambda x: { + node_name_column: x[node_name_column], + node_degree_column: x[node_degree_column], + node_details_column: x[node_details_column], + edge_details_column: x[edge_details_column], + claim_details_column: x[claim_details_column] + if level_claim_df is not None + else [], + }, + axis=1, + ) + + # group all node details by community + community_df = ( + merged_node_df.groupby(node_community_column) + .agg({schemas.ALL_CONTEXT: list}) + .reset_index() + ) + community_df[schemas.CONTEXT_STRING] = community_df[schemas.ALL_CONTEXT].apply( + lambda x: sort_context( + x, + node_id_column=node_id_column, + node_name_column=node_name_column, + node_details_column=node_details_column, + edge_id_column=edge_id_column, + edge_details_column=edge_details_column, + edge_degree_column=edge_degree_column, + edge_source_column=edge_source_column, + edge_target_column=edge_target_column, + claim_id_column=claim_id_column, + claim_details_column=claim_details_column, + community_id_column=community_id_column, + ) + ) + set_context_size(community_df) + set_context_exceeds_flag(community_df, max_tokens) + + community_df[schemas.COMMUNITY_LEVEL] = level + return community_df diff --git a/graphrag/index/verbs/graph/report/prepare_community_reports_claims.py b/graphrag/index/verbs/graph/report/prepare_community_reports_claims.py new file mode 100644 index 00000000..aa9a7907 --- /dev/null +++ b/graphrag/index/verbs/graph/report/prepare_community_reports_claims.py @@ -0,0 +1,50 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing create_graph, _get_node_attributes, _get_edge_attributes and _get_attribute_column_mapping methods definition.""" + +from typing import cast + +import pandas as pd +from datashaper import TableContainer, VerbInput, verb + +from graphrag.index.graph.extractors.community_reports.schemas import ( + CLAIM_DESCRIPTION, + CLAIM_DETAILS, + CLAIM_ID, + CLAIM_STATUS, + CLAIM_SUBJECT, + CLAIM_TYPE, +) + +_MISSING_DESCRIPTION = "No Description" + + +@verb(name="prepare_community_reports_claims") +def prepare_community_reports_claims( + input: VerbInput, + to: str = CLAIM_DETAILS, + id_column: str = CLAIM_ID, + description_column: str = CLAIM_DESCRIPTION, + subject_column: str = CLAIM_SUBJECT, + type_column: str = CLAIM_TYPE, + status_column: str = CLAIM_STATUS, + **_kwargs, +) -> TableContainer: + """Merge claim details into an object.""" + claim_df: pd.DataFrame = cast(pd.DataFrame, input.get_input()) + claim_df = claim_df.fillna(value={description_column: _MISSING_DESCRIPTION}) + + # merge values of five columns into a map column + claim_df[to] = claim_df.apply( + lambda x: { + id_column: x[id_column], + subject_column: x[subject_column], + type_column: x[type_column], + status_column: x[status_column], + description_column: x[description_column], + }, + axis=1, + ) + + return TableContainer(table=claim_df) diff --git a/graphrag/index/verbs/graph/report/prepare_community_reports_edges.py b/graphrag/index/verbs/graph/report/prepare_community_reports_edges.py new file mode 100644 index 00000000..b568aba0 --- /dev/null +++ b/graphrag/index/verbs/graph/report/prepare_community_reports_edges.py @@ -0,0 +1,48 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing create_graph, _get_node_attributes, _get_edge_attributes and _get_attribute_column_mapping methods definition.""" + +from typing import cast + +import pandas as pd +from datashaper import TableContainer, VerbInput, verb + +from graphrag.index.graph.extractors.community_reports.schemas import ( + EDGE_DEGREE, + EDGE_DESCRIPTION, + EDGE_DETAILS, + EDGE_ID, + EDGE_SOURCE, + EDGE_TARGET, +) + +_MISSING_DESCRIPTION = "No Description" + + +@verb(name="prepare_community_reports_edges") +def prepare_community_reports_edges( + input: VerbInput, + to: str = EDGE_DETAILS, + id_column: str = EDGE_ID, + source_column: str = EDGE_SOURCE, + target_column: str = EDGE_TARGET, + description_column: str = EDGE_DESCRIPTION, + degree_column: str = EDGE_DEGREE, + **_kwargs, +) -> TableContainer: + """Merge edge details into an object.""" + edge_df: pd.DataFrame = cast(pd.DataFrame, input.get_input()).fillna( + value={description_column: _MISSING_DESCRIPTION} + ) + edge_df[to] = edge_df.apply( + lambda x: { + id_column: x[id_column], + source_column: x[source_column], + target_column: x[target_column], + description_column: x[description_column], + degree_column: x[degree_column], + }, + axis=1, + ) + return TableContainer(table=edge_df) diff --git a/graphrag/index/verbs/graph/report/prepare_community_reports_nodes.py b/graphrag/index/verbs/graph/report/prepare_community_reports_nodes.py new file mode 100644 index 00000000..f159c125 --- /dev/null +++ b/graphrag/index/verbs/graph/report/prepare_community_reports_nodes.py @@ -0,0 +1,46 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing create_graph, _get_node_attributes, _get_edge_attributes and _get_attribute_column_mapping methods definition.""" + +from typing import cast + +import pandas as pd +from datashaper import TableContainer, VerbInput, verb + +from graphrag.index.graph.extractors.community_reports.schemas import ( + NODE_DEGREE, + NODE_DESCRIPTION, + NODE_DETAILS, + NODE_ID, + NODE_NAME, +) + +_MISSING_DESCRIPTION = "No Description" + + +@verb(name="prepare_community_reports_nodes") +def prepare_community_reports_nodes( + input: VerbInput, + to: str = NODE_DETAILS, + id_column: str = NODE_ID, + name_column: str = NODE_NAME, + description_column: str = NODE_DESCRIPTION, + degree_column: str = NODE_DEGREE, + **_kwargs, +) -> TableContainer: + """Merge edge details into an object.""" + node_df = cast(pd.DataFrame, input.get_input()) + node_df = node_df.fillna(value={description_column: _MISSING_DESCRIPTION}) + + # merge values of four columns into a map column + node_df[to] = node_df.apply( + lambda x: { + id_column: x[id_column], + name_column: x[name_column], + description_column: x[description_column], + degree_column: x[degree_column], + }, + axis=1, + ) + return TableContainer(table=node_df) diff --git a/graphrag/index/verbs/graph/report/restore_community_hierarchy.py b/graphrag/index/verbs/graph/report/restore_community_hierarchy.py new file mode 100644 index 00000000..437369f0 --- /dev/null +++ b/graphrag/index/verbs/graph/report/restore_community_hierarchy.py @@ -0,0 +1,78 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing create_graph, _get_node_attributes, _get_edge_attributes and _get_attribute_column_mapping methods definition.""" + +import logging +from typing import cast + +import pandas as pd +from datashaper import TableContainer, VerbInput, verb + +import graphrag.index.graph.extractors.community_reports.schemas as schemas + +log = logging.getLogger(__name__) + + +@verb(name="restore_community_hierarchy") +def restore_community_hierarchy( + input: VerbInput, + name_column: str = schemas.NODE_NAME, + community_column: str = schemas.NODE_COMMUNITY, + level_column: str = schemas.NODE_LEVEL, + **_kwargs, +) -> TableContainer: + """Restore the community hierarchy from the node data.""" + node_df: pd.DataFrame = cast(pd.DataFrame, input.get_input()) + community_df = ( + node_df.groupby([community_column, level_column]) + .agg({name_column: list}) + .reset_index() + ) + community_levels = {} + for _, row in community_df.iterrows(): + level = row[level_column] + name = row[name_column] + community = row[community_column] + + if community_levels.get(level) is None: + community_levels[level] = {} + community_levels[level][community] = name + + # get unique levels, sorted in ascending order + levels = sorted(community_levels.keys()) + + community_hierarchy = [] + + for idx in range(len(levels) - 1): + level = levels[idx] + log.debug("Level: %s", level) + next_level = levels[idx + 1] + current_level_communities = community_levels[level] + next_level_communities = community_levels[next_level] + log.debug( + "Number of communities at level %s: %s", + level, + len(current_level_communities), + ) + + for current_community in current_level_communities: + current_entities = current_level_communities[current_community] + + # loop through next level's communities to find all the subcommunities + entities_found = 0 + for next_level_community in next_level_communities: + next_entities = next_level_communities[next_level_community] + if set(next_entities).issubset(set(current_entities)): + community_hierarchy.append({ + community_column: current_community, + schemas.COMMUNITY_LEVEL: level, + schemas.SUB_COMMUNITY: next_level_community, + schemas.SUB_COMMUNITY_SIZE: len(next_entities), + }) + + entities_found += len(next_entities) + if entities_found == len(current_entities): + break + + return TableContainer(table=pd.DataFrame(community_hierarchy)) diff --git a/graphrag/index/verbs/graph/report/strategies/__init__.py b/graphrag/index/verbs/graph/report/strategies/__init__.py new file mode 100644 index 00000000..87d1f9e2 --- /dev/null +++ b/graphrag/index/verbs/graph/report/strategies/__init__.py @@ -0,0 +1,4 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine graph report strategies package root.""" diff --git a/graphrag/index/verbs/graph/report/strategies/graph_intelligence/__init__.py b/graphrag/index/verbs/graph/report/strategies/graph_intelligence/__init__.py new file mode 100644 index 00000000..7f51d790 --- /dev/null +++ b/graphrag/index/verbs/graph/report/strategies/graph_intelligence/__init__.py @@ -0,0 +1,8 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine graph report strategies graph intelligence package root.""" + +from .run_graph_intelligence import run + +__all__ = ["run"] diff --git a/graphrag/index/verbs/graph/report/strategies/graph_intelligence/defaults.py b/graphrag/index/verbs/graph/report/strategies/graph_intelligence/defaults.py new file mode 100644 index 00000000..708d48d2 --- /dev/null +++ b/graphrag/index/verbs/graph/report/strategies/graph_intelligence/defaults.py @@ -0,0 +1,26 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A file containing DEFAULT_CHUNK_SIZE and MOCK_RESPONSES definitions.""" + +import json + +DEFAULT_CHUNK_SIZE = 3000 +MOCK_RESPONSES = [ + json.dumps({ + "title": "", + "summary": "", + "rating": 2, + "rating_explanation": "", + "findings": [ + { + "summary": "", + "explanation": "", + "explanation": " CommunityReport | None: + """Run the graph intelligence entity extraction strategy.""" + llm_config = args.get( + "llm", {"type": LLMType.StaticResponse, "responses": MOCK_RESPONSES} + ) + llm_type = llm_config.get("type", LLMType.StaticResponse) + llm = load_llm( + "community_reporting", llm_type, reporter, pipeline_cache, llm_config + ) + return await _run_extractor(llm, community, input, level, args, reporter) + + +async def _run_extractor( + llm: CompletionLLM, + community: str | int, + input: str, + level: int, + args: StrategyConfig, + reporter: VerbCallbacks, +) -> CommunityReport | None: + extractor = CommunityReportsExtractor( + llm, + extraction_prompt=args.get("extraction_prompt", None), + max_report_length=args.get("max_report_length", None), + on_error=lambda e, stack, _data: reporter.error( + "Community Report Extraction Error", e, stack + ), + ) + + try: + results = await extractor({"input_text": input}) + report = results.structured_output + if report is None or len(report.keys()) == 0: + log.warning("No report found for community: %s", community) + return None + + return CommunityReport( + community=community, + full_content=results.output, + level=level, + rank=_parse_rank(report), + title=report.get("title", f"Community Report: {community}"), + rank_explanation=report.get("rating_explanation", ""), + summary=report.get("summary", ""), + findings=report.get("findings", []), + full_content_json=json.dumps(report, indent=4), + ) + except Exception as e: + log.exception("Error processing community: %s", community) + reporter.error("Community Report Extraction Error", e, traceback.format_exc()) + return None + + +def _parse_rank(report: dict) -> float: + rank = report.get("rating", -1) + try: + return float(rank) + except ValueError: + log.exception("Error parsing rank: %s defaulting to -1", rank) + return -1 diff --git a/graphrag/index/verbs/graph/report/strategies/typing.py b/graphrag/index/verbs/graph/report/strategies/typing.py new file mode 100644 index 00000000..087c7247 --- /dev/null +++ b/graphrag/index/verbs/graph/report/strategies/typing.py @@ -0,0 +1,52 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing 'Finding' and 'CommunityReport' models.""" + +from collections.abc import Awaitable, Callable +from typing import Any + +from datashaper import VerbCallbacks +from typing_extensions import TypedDict + +from graphrag.index.cache import PipelineCache + +ExtractedEntity = dict[str, Any] +StrategyConfig = dict[str, Any] +RowContext = dict[str, Any] +EntityTypes = list[str] +Claim = dict[str, Any] + + +class Finding(TypedDict): + """Finding class definition.""" + + summary: str + explanation: str + + +class CommunityReport(TypedDict): + """Community report class definition.""" + + community: str | int + title: str + summary: str + full_content: str + full_content_json: str + rank: float + level: int + rank_explanation: str + findings: list[Finding] + + +CommunityReportsStrategy = Callable[ + [ + str | int, + str, + int, + VerbCallbacks, + PipelineCache, + StrategyConfig, + ], + Awaitable[CommunityReport | None], +] diff --git a/graphrag/index/verbs/graph/unpack.py b/graphrag/index/verbs/graph/unpack.py new file mode 100644 index 00000000..ffb7f4b0 --- /dev/null +++ b/graphrag/index/verbs/graph/unpack.py @@ -0,0 +1,107 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing unpack_graph, _run_unpack, _unpack_nodes and _unpack_edges methods definition.""" + +from typing import Any, cast + +import networkx as nx +import pandas as pd +from datashaper import TableContainer, VerbCallbacks, VerbInput, progress_iterable, verb + +from graphrag.index.utils import load_graph + +default_copy = ["level"] + + +@verb(name="unpack_graph") +def unpack_graph( + input: VerbInput, + callbacks: VerbCallbacks, + column: str, + type: str, # noqa A002 + copy: list[str] | None = None, + embeddings_column: str = "embeddings", + **kwargs, +) -> TableContainer: + """ + Unpack nodes or edges from a graphml graph, into a list of nodes or edges. + + This verb will create columns for each attribute in a node or edge. + + ## Usage + ```yaml + verb: unpack_graph + args: + type: node # The type of data to unpack, one of: node, edge. node will create a node list, edge will create an edge list + column: # The name of the column containing the graph, should be a graphml graph + ``` + """ + if copy is None: + copy = default_copy + input_df = input.get_input() + num_total = len(input_df) + result = [] + copy = [col for col in copy if col in input_df.columns] + has_embeddings = embeddings_column in input_df.columns + + for _, row in progress_iterable(input_df.iterrows(), callbacks.progress, num_total): + # merge the original row with the unpacked graph item + cleaned_row = {col: row[col] for col in copy} + embeddings = ( + cast(dict[str, list[float]], row[embeddings_column]) + if has_embeddings + else {} + ) + + result.extend([ + {**cleaned_row, **graph_id} + for graph_id in _run_unpack( + cast(str | nx.Graph, row[column]), + type, + embeddings, + kwargs, + ) + ]) + + output_df = pd.DataFrame(result) + return TableContainer(table=output_df) + + +def _run_unpack( + graphml_or_graph: str | nx.Graph, + unpack_type: str, + embeddings: dict[str, list[float]], + args: dict[str, Any], +) -> list[dict[str, Any]]: + graph = load_graph(graphml_or_graph) + if unpack_type == "nodes": + return _unpack_nodes(graph, embeddings, args) + if unpack_type == "edges": + return _unpack_edges(graph, args) + msg = f"Unknown type {unpack_type}" + raise ValueError(msg) + + +def _unpack_nodes( + graph: nx.Graph, embeddings: dict[str, list[float]], _args: dict[str, Any] +) -> list[dict[str, Any]]: + return [ + { + "label": label, + **(node_data or {}), + "graph_embedding": embeddings.get(label), + } + for label, node_data in graph.nodes(data=True) # type: ignore + ] + + +def _unpack_edges(graph: nx.Graph, _args: dict[str, Any]) -> list[dict[str, Any]]: + return [ + { + "source": source_id, + "target": target_id, + **(edge_data or {}), + } + for source_id, target_id, edge_data in graph.edges(data=True) # type: ignore + ] diff --git a/graphrag/index/verbs/overrides/__init__.py b/graphrag/index/verbs/overrides/__init__.py new file mode 100644 index 00000000..24b82c1f --- /dev/null +++ b/graphrag/index/verbs/overrides/__init__.py @@ -0,0 +1,10 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine overrides package root.""" + +from .aggregate import aggregate +from .concat import concat +from .merge import merge + +__all__ = ["aggregate", "concat", "merge"] diff --git a/graphrag/index/verbs/overrides/aggregate.py b/graphrag/index/verbs/overrides/aggregate.py new file mode 100644 index 00000000..df213704 --- /dev/null +++ b/graphrag/index/verbs/overrides/aggregate.py @@ -0,0 +1,90 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing 'Aggregation' model.""" + +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +from dataclasses import dataclass +from typing import Any, cast + +import pandas as pd +from datashaper import ( + FieldAggregateOperation, + Progress, + TableContainer, + VerbCallbacks, + VerbInput, + aggregate_operation_mapping, + verb, +) + +ARRAY_AGGREGATIONS = [ + FieldAggregateOperation.ArrayAgg, + FieldAggregateOperation.ArrayAggDistinct, +] + + +# TODO: This thing is kinda gross +# Also, it diverges from the original aggregate verb, since it doesn't support the same syntax +@verb(name="aggregate_override") +def aggregate( + input: VerbInput, + callbacks: VerbCallbacks, + aggregations: list[dict[str, Any]], + groupby: list[str] | None = None, + **_kwargs: dict, +) -> TableContainer: + """Aggregate method definition.""" + aggregations_to_apply = _load_aggregations(aggregations) + df_aggregations = { + agg.column: _get_pandas_agg_operation(agg) + for agg in aggregations_to_apply.values() + } + input_table = input.get_input() + callbacks.progress(Progress(percent=0)) + + if groupby is None: + output_grouped = input_table.groupby(lambda _x: True) + else: + output_grouped = input_table.groupby(groupby, sort=False) + output = cast(pd.DataFrame, output_grouped.agg(df_aggregations)) + output.rename( + columns={agg.column: agg.to for agg in aggregations_to_apply.values()}, + inplace=True, + ) + output.columns = [agg.to for agg in aggregations_to_apply.values()] + + callbacks.progress(Progress(percent=1)) + + return TableContainer(table=output.reset_index()) + + +@dataclass +class Aggregation: + """Aggregation class method definition.""" + + column: str | None + operation: str + to: str + + # Only useful for the concat operation + separator: str | None = None + + +def _get_pandas_agg_operation(agg: Aggregation) -> Any: + # TODO: Merge into datashaper + if agg.operation == "string_concat": + return (agg.separator or ",").join + return aggregate_operation_mapping[FieldAggregateOperation(agg.operation)] + + +def _load_aggregations( + aggregations: list[dict[str, Any]], +) -> dict[str, Aggregation]: + return { + aggregation["column"]: Aggregation( + aggregation["column"], aggregation["operation"], aggregation["to"] + ) + for aggregation in aggregations + } diff --git a/graphrag/index/verbs/overrides/concat.py b/graphrag/index/verbs/overrides/concat.py new file mode 100644 index 00000000..7a0f0e2c --- /dev/null +++ b/graphrag/index/verbs/overrides/concat.py @@ -0,0 +1,27 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing concat method definition.""" + +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +from typing import cast + +import pandas as pd +from datashaper import TableContainer, VerbInput, verb + + +@verb(name="concat_override") +def concat( + input: VerbInput, + columnwise: bool = False, + **_kwargs: dict, +) -> TableContainer: + """Concat method definition.""" + input_table = cast(pd.DataFrame, input.get_input()) + others = cast(list[pd.DataFrame], input.get_others()) + if columnwise: + output = pd.concat([input_table, *others], axis=1) + else: + output = pd.concat([input_table, *others], ignore_index=True) + return TableContainer(table=output) diff --git a/graphrag/index/verbs/overrides/merge.py b/graphrag/index/verbs/overrides/merge.py new file mode 100644 index 00000000..64684c98 --- /dev/null +++ b/graphrag/index/verbs/overrides/merge.py @@ -0,0 +1,78 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing merge and _merge_json methods definition.""" + +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +import logging +from enum import Enum +from typing import Any, cast + +import pandas as pd +from datashaper import TableContainer, VerbInput, VerbResult, verb +from datashaper.engine.verbs.merge import merge as ds_merge + +log = logging.getLogger(__name__) + + +class MergeStrategyType(str, Enum): + """MergeStrategy class definition.""" + + json = "json" + datashaper = "datashaper" + + def __repr__(self): + """Get a string representation.""" + return f'"{self.value}"' + + +# TODO: This thing is kinda gross +# Also, it diverges from the original aggregate verb, since it doesn't support the same syntax +@verb(name="merge_override") +def merge( + input: VerbInput, + to: str, + columns: list[str], + strategy: MergeStrategyType = MergeStrategyType.datashaper, + delimiter: str = "", + preserveSource: bool = False, # noqa N806 + unhot: bool = False, + prefix: str = "", + **_kwargs: dict, +) -> TableContainer | VerbResult: + """Merge method definition.""" + output: pd.DataFrame + match strategy: + case MergeStrategyType.json: + output = _merge_json(input, to, columns) + filtered_list: list[str] = [] + + for col in output.columns: + try: + columns.index(col) + except ValueError: + log.exception("Column %s not found in input columns", col) + filtered_list.append(col) + + if not preserveSource: + output = cast(Any, output[filtered_list]) + return TableContainer(table=output.reset_index()) + case _: + return ds_merge( + input, to, columns, strategy, delimiter, preserveSource, unhot, prefix + ) + + +def _merge_json( + input: VerbInput, + to: str, + columns: list[str], +) -> pd.DataFrame: + input_table = cast(pd.DataFrame, input.get_input()) + output = input_table + output[to] = output[columns].apply( + lambda row: ({**row}), + axis=1, + ) + return output diff --git a/graphrag/index/verbs/snapshot.py b/graphrag/index/verbs/snapshot.py new file mode 100644 index 00000000..a90fc283 --- /dev/null +++ b/graphrag/index/verbs/snapshot.py @@ -0,0 +1,30 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing snapshot method definition.""" + +from datashaper import TableContainer, VerbInput, verb + +from graphrag.index.storage import PipelineStorage + + +@verb(name="snapshot") +async def snapshot( + input: VerbInput, + name: str, + formats: list[str], + storage: PipelineStorage, + **_kwargs: dict, +) -> TableContainer: + """Take a entire snapshot of the tabular data.""" + data = input.get_input() + + for fmt in formats: + if fmt == "parquet": + await storage.set(name + ".parquet", data.to_parquet()) + elif fmt == "json": + await storage.set( + name + ".json", data.to_json(orient="records", lines=True) + ) + + return TableContainer(table=data) diff --git a/graphrag/index/verbs/snapshot_rows.py b/graphrag/index/verbs/snapshot_rows.py new file mode 100644 index 00000000..99aae70a --- /dev/null +++ b/graphrag/index/verbs/snapshot_rows.py @@ -0,0 +1,86 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing 'FormatSpecifier' model.""" + +import json +from dataclasses import dataclass +from typing import Any + +from datashaper import TableContainer, VerbInput, verb + +from graphrag.index.storage import PipelineStorage + + +@dataclass +class FormatSpecifier: + """Format specifier class definition.""" + + format: str + extension: str + + +@verb(name="snapshot_rows") +async def snapshot_rows( + input: VerbInput, + column: str | None, + base_name: str, + storage: PipelineStorage, + formats: list[str | dict[str, Any]], + row_name_column: str | None = None, + **_kwargs: dict, +) -> TableContainer: + """Take a by-row snapshot of the tabular data.""" + data = input.get_input() + parsed_formats = _parse_formats(formats) + num_rows = len(data) + + def get_row_name(row: Any, row_idx: Any): + if row_name_column is None: + if num_rows == 1: + return base_name + return f"{base_name}.{row_idx}" + return f"{base_name}.{row[row_name_column]}" + + for row_idx, row in data.iterrows(): + for fmt in parsed_formats: + row_name = get_row_name(row, row_idx) + extension = fmt.extension + if fmt.format == "json": + await storage.set( + f"{row_name}.{extension}", + json.dumps(row[column]) + if column is not None + else json.dumps(row.to_dict()), + ) + elif fmt.format == "text": + if column is None: + msg = "column must be specified for text format" + raise ValueError(msg) + await storage.set(f"{row_name}.{extension}", str(row[column])) + + return TableContainer(table=data) + + +def _parse_formats(formats: list[str | dict[str, Any]]) -> list[FormatSpecifier]: + """Parse the formats into a list of FormatSpecifiers.""" + return [ + FormatSpecifier(**fmt) + if isinstance(fmt, dict) + else FormatSpecifier(format=fmt, extension=_get_format_extension(fmt)) + for fmt in formats + ] + + +def _get_format_extension(fmt: str) -> str: + """Get the file extension for a given format.""" + if fmt == "json": + return "json" + if fmt == "text": + return "txt" + if fmt == "parquet": + return "parquet" + if fmt == "csv": + return "csv" + msg = f"Unknown format: {fmt}" + raise ValueError(msg) diff --git a/graphrag/index/verbs/spread_json.py b/graphrag/index/verbs/spread_json.py new file mode 100644 index 00000000..38656e12 --- /dev/null +++ b/graphrag/index/verbs/spread_json.py @@ -0,0 +1,55 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing spread_json method definition.""" + +import logging + +import pandas as pd +from datashaper import TableContainer, VerbInput, verb + +from graphrag.index.utils import is_null + +# TODO: Check if this is already a thing +DEFAULT_COPY = ["level"] + + +@verb(name="spread_json") +def spread_json( + input: VerbInput, + column: str, + copy: list[str] | None = None, + **_kwargs: dict, +) -> TableContainer: + """ + Unpack a column containing a tuple into multiple columns. + + id|json|b + 1|{"x":5,"y":6}|b + + is converted to + + id|x|y|b + -------- + 1|5|6|b + """ + if copy is None: + copy = DEFAULT_COPY + data = input.get_input() + + results = [] + for _, row in data.iterrows(): + try: + cleaned_row = {col: row[col] for col in copy} + rest_row = row[column] if row[column] is not None else {} + + if is_null(rest_row): + rest_row = {} + + results.append({**cleaned_row, **rest_row}) # type: ignore + except Exception: + logging.exception("Error spreading row: %s", row) + raise + data = pd.DataFrame(results, index=data.index) + + return TableContainer(table=data) diff --git a/graphrag/index/verbs/text/__init__.py b/graphrag/index/verbs/text/__init__.py new file mode 100644 index 00000000..032f45e1 --- /dev/null +++ b/graphrag/index/verbs/text/__init__.py @@ -0,0 +1,18 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine text package root.""" + +from .chunk.text_chunk import chunk +from .embed import text_embed +from .replace import replace +from .split import text_split +from .translate import text_translate + +__all__ = [ + "chunk", + "replace", + "text_embed", + "text_split", + "text_translate", +] diff --git a/graphrag/index/verbs/text/chunk/__init__.py b/graphrag/index/verbs/text/chunk/__init__.py new file mode 100644 index 00000000..4e2a7729 --- /dev/null +++ b/graphrag/index/verbs/text/chunk/__init__.py @@ -0,0 +1,8 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine text chunk package root.""" + +from .text_chunk import ChunkStrategy, ChunkStrategyType, chunk + +__all__ = ["ChunkStrategy", "ChunkStrategyType", "chunk"] diff --git a/graphrag/index/verbs/text/chunk/strategies/__init__.py b/graphrag/index/verbs/text/chunk/strategies/__init__.py new file mode 100644 index 00000000..0f15fcb2 --- /dev/null +++ b/graphrag/index/verbs/text/chunk/strategies/__init__.py @@ -0,0 +1,4 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine text chunk strategies package root.""" diff --git a/graphrag/index/verbs/text/chunk/strategies/sentence.py b/graphrag/index/verbs/text/chunk/strategies/sentence.py new file mode 100644 index 00000000..687def1d --- /dev/null +++ b/graphrag/index/verbs/text/chunk/strategies/sentence.py @@ -0,0 +1,26 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing run method definition.""" + +from collections.abc import Iterable +from typing import Any + +import nltk +from datashaper import ProgressTicker + +from .typing import TextChunk + + +def run( + input: list[str], _args: dict[str, Any], tick: ProgressTicker +) -> Iterable[TextChunk]: + """Chunks text into multiple parts. A pipeline verb.""" + for doc_idx, text in enumerate(input): + sentences = nltk.sent_tokenize(text) + for sentence in sentences: + yield TextChunk( + text_chunk=sentence, + source_doc_indices=[doc_idx], + ) + tick(1) diff --git a/graphrag/index/verbs/text/chunk/strategies/tokens.py b/graphrag/index/verbs/text/chunk/strategies/tokens.py new file mode 100644 index 00000000..6dab135e --- /dev/null +++ b/graphrag/index/verbs/text/chunk/strategies/tokens.py @@ -0,0 +1,83 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing run and split_text_on_tokens methods definition.""" + +from collections.abc import Iterable +from typing import Any + +import tiktoken +from datashaper import ProgressTicker + +from graphrag.index.text_splitting import Tokenizer +from graphrag.index.verbs.text.chunk.typing import TextChunk + +DEFAULT_CHUNK_SIZE = 2500 # tokens +DEFAULT_CHUNK_OVERLAP = 300 # tokens + + +def run( + input: list[str], args: dict[str, Any], tick: ProgressTicker +) -> Iterable[TextChunk]: + """Chunks text into multiple parts. A pipeline verb.""" + tokens_per_chunk = args.get("chunk_size", DEFAULT_CHUNK_SIZE) + chunk_overlap = args.get("chunk_overlap", DEFAULT_CHUNK_OVERLAP) + encoding_name = args.get("encoding_name", "cl100k_base") + enc = tiktoken.get_encoding(encoding_name) + + def encode(text: str) -> list[int]: + if not isinstance(text, str): + text = f"{text}" + return enc.encode(text) + + def decode(tokens: list[int]) -> str: + return enc.decode(tokens) + + return split_text_on_tokens( + input, + Tokenizer( + chunk_overlap=chunk_overlap, + tokens_per_chunk=tokens_per_chunk, + encode=encode, + decode=decode, + ), + tick, + ) + + +# Adapted from - https://github.com/langchain-ai/langchain/blob/77b359edf5df0d37ef0d539f678cf64f5557cb54/libs/langchain/langchain/text_splitter.py#L471 +# So we could have better control over the chunking process +def split_text_on_tokens( + texts: list[str], enc: Tokenizer, tick: ProgressTicker +) -> list[TextChunk]: + """Split incoming text and return chunks.""" + result = [] + mapped_ids = [] + + for source_doc_idx, text in enumerate(texts): + encoded = enc.encode(text) + tick(1) + mapped_ids.append((source_doc_idx, encoded)) + + input_ids: list[tuple[int, int]] = [ + (source_doc_idx, id) for source_doc_idx, ids in mapped_ids for id in ids + ] + + start_idx = 0 + cur_idx = min(start_idx + enc.tokens_per_chunk, len(input_ids)) + chunk_ids = input_ids[start_idx:cur_idx] + while start_idx < len(input_ids): + chunk_text = enc.decode([id for _, id in chunk_ids]) + doc_indices = list({doc_idx for doc_idx, _ in chunk_ids}) + result.append( + TextChunk( + text_chunk=chunk_text, + source_doc_indices=doc_indices, + n_tokens=len(chunk_ids), + ) + ) + start_idx += enc.tokens_per_chunk - enc.chunk_overlap + cur_idx = min(start_idx + enc.tokens_per_chunk, len(input_ids)) + chunk_ids = input_ids[start_idx:cur_idx] + + return result diff --git a/graphrag/index/verbs/text/chunk/strategies/typing.py b/graphrag/index/verbs/text/chunk/strategies/typing.py new file mode 100644 index 00000000..b4e833c8 --- /dev/null +++ b/graphrag/index/verbs/text/chunk/strategies/typing.py @@ -0,0 +1,17 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing ChunkStrategy definition.""" + +from collections.abc import Callable, Iterable +from typing import Any + +from datashaper import ProgressTicker + +from graphrag.index.verbs.text.chunk.typing import TextChunk + +# Given a list of document texts, return a list of tuples of (source_doc_indices, text_chunk) + +ChunkStrategy = Callable[ + [list[str], dict[str, Any], ProgressTicker], Iterable[TextChunk] +] diff --git a/graphrag/index/verbs/text/chunk/text_chunk.py b/graphrag/index/verbs/text/chunk/text_chunk.py new file mode 100644 index 00000000..d8fab44f --- /dev/null +++ b/graphrag/index/verbs/text/chunk/text_chunk.py @@ -0,0 +1,162 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing _get_num_total, chunk, run_strategy and load_strategy methods definitions.""" + +from enum import Enum +from typing import Any, cast + +import pandas as pd +from datashaper import ( + ProgressTicker, + TableContainer, + VerbCallbacks, + VerbInput, + progress_ticker, + verb, +) + +from .strategies.typing import ChunkStrategy as ChunkStrategy +from .typing import ChunkInput + + +def _get_num_total(output: pd.DataFrame, column: str) -> int: + num_total = 0 + for row in output[column]: + if isinstance(row, str): + num_total += 1 + else: + num_total += len(row) + return num_total + + +class ChunkStrategyType(str, Enum): + """ChunkStrategy class definition.""" + + tokens = "tokens" + sentence = "sentence" + + def __repr__(self): + """Get a string representation.""" + return f'"{self.value}"' + + +@verb(name="chunk") +def chunk( + input: VerbInput, + column: str, + to: str, + callbacks: VerbCallbacks, + strategy: dict[str, Any] | None = None, + **_kwargs, +) -> TableContainer: + """ + Chunk a piece of text into smaller pieces. + + ## Usage + ```yaml + verb: text_chunk + args: + column: # The name of the column containing the text to chunk, this can either be a column with text, or a column with a list[tuple[doc_id, str]] + to: # The name of the column to output the chunks to + strategy: # The strategy to use to chunk the text, see below for more details + ``` + + ## Strategies + The text chunk verb uses a strategy to chunk the text. The strategy is an object which defines the strategy to use. The following strategies are available: + + ### tokens + This strategy uses the [tokens] library to chunk a piece of text. The strategy config is as follows: + + > Note: In the future, this will likely be renamed to something more generic, like "openai_tokens". + + ```yaml + strategy: + type: tokens + chunk_size: 1000 # Optional, The chunk size to use, default: 1000 + chunk_overlap: 300 # Optional, The chunk overlap to use, default: 300 + ``` + + ### sentence + This strategy uses the nltk library to chunk a piece of text into sentences. The strategy config is as follows: + + ```yaml + strategy: + type: sentence + ``` + """ + if strategy is None: + strategy = {} + output = cast(pd.DataFrame, input.get_input()) + strategy_name = strategy.get("type", ChunkStrategyType.tokens) + strategy_config = {**strategy} + strategy_exec = load_strategy(strategy_name) + + num_total = _get_num_total(output, column) + tick = progress_ticker(callbacks.progress, num_total) + + output[to] = output.apply( + cast( + Any, + lambda x: run_strategy(strategy_exec, x[column], strategy_config, tick), + ), + axis=1, + ) + return TableContainer(table=output) + + +def run_strategy( + strategy: ChunkStrategy, + input: ChunkInput, + strategy_args: dict[str, Any], + tick: ProgressTicker, +) -> list[str | tuple[list[str] | None, str, int]]: + """Run strategy method definition.""" + if isinstance(input, str): + return [item.text_chunk for item in strategy([input], {**strategy_args}, tick)] + + # We can work with both just a list of text content + # or a list of tuples of (document_id, text content) + # text_to_chunk = ''' + texts = [] + for item in input: + if isinstance(item, str): + texts.append(item) + else: + texts.append(item[1]) + + strategy_results = strategy(texts, {**strategy_args}, tick) + + results = [] + for strategy_result in strategy_results: + doc_indices = strategy_result.source_doc_indices + if isinstance(input[doc_indices[0]], str): + results.append(strategy_result.text_chunk) + else: + doc_ids = [input[doc_idx][0] for doc_idx in doc_indices] + results.append(( + doc_ids, + strategy_result.text_chunk, + strategy_result.n_tokens, + )) + return results + + +def load_strategy(strategy: ChunkStrategyType) -> ChunkStrategy: + """Load strategy method definition.""" + match strategy: + case ChunkStrategyType.tokens: + from .strategies.tokens import run as run_tokens + + return run_tokens + case ChunkStrategyType.sentence: + # NLTK + from graphrag.index.bootstrap import bootstrap + + from .strategies.sentence import run as run_sentence + + bootstrap() + return run_sentence + case _: + msg = f"Unknown strategy: {strategy}" + raise ValueError(msg) diff --git a/graphrag/index/verbs/text/chunk/typing.py b/graphrag/index/verbs/text/chunk/typing.py new file mode 100644 index 00000000..3a42cf68 --- /dev/null +++ b/graphrag/index/verbs/text/chunk/typing.py @@ -0,0 +1,19 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing 'TextChunk' model.""" + +from dataclasses import dataclass + + +@dataclass +class TextChunk: + """Text chunk class definition.""" + + text_chunk: str + source_doc_indices: list[int] + n_tokens: int | None = None + + +ChunkInput = str | list[str] | list[tuple[str, str]] +"""Input to a chunking strategy. Can be a string, a list of strings, or a list of tuples of (id, text).""" diff --git a/graphrag/index/verbs/text/embed/__init__.py b/graphrag/index/verbs/text/embed/__init__.py new file mode 100644 index 00000000..969bd2aa --- /dev/null +++ b/graphrag/index/verbs/text/embed/__init__.py @@ -0,0 +1,8 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine text embed package root.""" + +from .text_embed import TextEmbedStrategyType, text_embed + +__all__ = ["TextEmbedStrategyType", "text_embed"] diff --git a/graphrag/index/verbs/text/embed/strategies/__init__.py b/graphrag/index/verbs/text/embed/strategies/__init__.py new file mode 100644 index 00000000..8cbe7a58 --- /dev/null +++ b/graphrag/index/verbs/text/embed/strategies/__init__.py @@ -0,0 +1,4 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine embed strategies package root.""" diff --git a/graphrag/index/verbs/text/embed/strategies/mock.py b/graphrag/index/verbs/text/embed/strategies/mock.py new file mode 100644 index 00000000..1be4ab0f --- /dev/null +++ b/graphrag/index/verbs/text/embed/strategies/mock.py @@ -0,0 +1,34 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing run and _embed_text methods definitions.""" + +import random +from collections.abc import Iterable +from typing import Any + +from datashaper import ProgressTicker, VerbCallbacks, progress_ticker + +from graphrag.index.cache import PipelineCache + +from .typing import TextEmbeddingResult + + +async def run( # noqa RUF029 async is required for interface + input: list[str], + callbacks: VerbCallbacks, + cache: PipelineCache, + _args: dict[str, Any], +) -> TextEmbeddingResult: + """Run the Claim extraction chain.""" + input = input if isinstance(input, Iterable) else [input] + ticker = progress_ticker(callbacks.progress, len(input)) + return TextEmbeddingResult( + embeddings=[_embed_text(cache, text, ticker) for text in input] + ) + + +def _embed_text(_cache: PipelineCache, _text: str, tick: ProgressTicker) -> list[float]: + """Embed a single piece of text.""" + tick(1) + return [random.random(), random.random(), random.random()] # noqa S311 diff --git a/graphrag/index/verbs/text/embed/strategies/openai.py b/graphrag/index/verbs/text/embed/strategies/openai.py new file mode 100644 index 00000000..0658d604 --- /dev/null +++ b/graphrag/index/verbs/text/embed/strategies/openai.py @@ -0,0 +1,180 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing run method definition.""" + +import asyncio +import logging +from typing import Any + +import numpy as np +from datashaper import ProgressTicker, VerbCallbacks, progress_ticker + +from graphrag.index.cache import PipelineCache +from graphrag.index.llm import load_llm_embeddings +from graphrag.index.text_splitting import TokenTextSplitter +from graphrag.index.utils import is_null +from graphrag.llm import EmbeddingLLM, OpenAIConfiguration + +from .typing import TextEmbeddingResult + +log = logging.getLogger(__name__) + + +async def run( + input: list[str], + callbacks: VerbCallbacks, + cache: PipelineCache, + args: dict[str, Any], +) -> TextEmbeddingResult: + """Run the Claim extraction chain.""" + if is_null(input): + return TextEmbeddingResult(embeddings=None) + + llm_config = args.get("llm", {}) + batch_size = args.get("batch_size", 16) + batch_max_tokens = args.get("batch_max_tokens", 8191) + oai_config = OpenAIConfiguration(llm_config) + splitter = _get_splitter(oai_config, batch_max_tokens) + llm = _get_llm(oai_config, callbacks, cache) + semaphore: asyncio.Semaphore = asyncio.Semaphore(args.get("num_threads", 4)) + + # Break up the input texts. The sizes here indicate how many snippets are in each input text + texts, input_sizes = _prepare_embed_texts(input, splitter) + text_batches = _create_text_batches( + texts, + batch_size, + batch_max_tokens, + splitter, + ) + log.info( + "embedding %d inputs via %d snippets using %d batches. max_batch_size=%d, max_tokens=%d", + len(input), + len(texts), + len(text_batches), + batch_size, + batch_max_tokens, + ) + ticker = progress_ticker(callbacks.progress, len(text_batches)) + + # Embed each chunk of snippets + embeddings = await _execute(llm, text_batches, ticker, semaphore) + embeddings = _reconstitute_embeddings(embeddings, input_sizes) + + return TextEmbeddingResult(embeddings=embeddings) + + +def _get_splitter( + config: OpenAIConfiguration, batch_max_tokens: int +) -> TokenTextSplitter: + return TokenTextSplitter( + encoding_name=config.encoding_model or "cl100k_base", + chunk_size=batch_max_tokens, + ) + + +def _get_llm( + config: OpenAIConfiguration, + callbacks: VerbCallbacks, + cache: PipelineCache, +) -> EmbeddingLLM: + llm_type = config.lookup("type", "Unknown") + return load_llm_embeddings( + "text_embedding", + llm_type, + callbacks, + cache, + config.raw_config, + ) + + +async def _execute( + llm: EmbeddingLLM, + chunks: list[list[str]], + tick: ProgressTicker, + semaphore: asyncio.Semaphore, +) -> list[list[float]]: + async def embed(chunk: list[str]): + async with semaphore: + chunk_embeddings = await llm(chunk) + result = np.array(chunk_embeddings.output) + tick(1) + return result + + futures = [embed(chunk) for chunk in chunks] + results = await asyncio.gather(*futures) + # merge results in a single list of lists (reduce the collect dimension) + return [item for sublist in results for item in sublist] + + +def _create_text_batches( + texts: list[str], + max_batch_size: int, + max_batch_tokens: int, + splitter: TokenTextSplitter, +) -> list[list[str]]: + """Create batches of texts to embed.""" + # https://learn.microsoft.com/en-us/azure/ai-services/openai/reference + # According to this embeddings reference, Azure limits us to 16 concurrent embeddings and 8191 tokens per request + result = [] + current_batch = [] + current_batch_tokens = 0 + + for text in texts: + token_count = splitter.num_tokens(text) + if ( + len(current_batch) >= max_batch_size + or current_batch_tokens + token_count > max_batch_tokens + ): + result.append(current_batch) + current_batch = [] + current_batch_tokens = 0 + + current_batch.append(text) + current_batch_tokens += token_count + + if len(current_batch) > 0: + result.append(current_batch) + + return result + + +def _prepare_embed_texts( + input: list[str], splitter: TokenTextSplitter +) -> tuple[list[str], list[int]]: + sizes: list[int] = [] + snippets: list[str] = [] + + for text in input: + # Split the input text and filter out any empty content + split_texts = splitter.split_text(text) + if split_texts is None: + continue + split_texts = [text for text in split_texts if len(text) > 0] + + sizes.append(len(split_texts)) + snippets.extend(split_texts) + + return snippets, sizes + + +def _reconstitute_embeddings( + raw_embeddings: list[list[float]], sizes: list[int] +) -> list[list[float] | None]: + """Reconstitute the embeddings into the original input texts.""" + embeddings: list[list[float] | None] = [] + cursor = 0 + for size in sizes: + if size == 0: + embeddings.append(None) + elif size == 1: + embedding = raw_embeddings[cursor] + embeddings.append(embedding) + cursor += 1 + else: + chunk = raw_embeddings[cursor : cursor + size] + average = np.average(chunk, axis=0) + normalized = average / np.linalg.norm(average) + embeddings.append(normalized.tolist()) + cursor += size + return embeddings diff --git a/graphrag/index/verbs/text/embed/strategies/typing.py b/graphrag/index/verbs/text/embed/strategies/typing.py new file mode 100644 index 00000000..1b252564 --- /dev/null +++ b/graphrag/index/verbs/text/embed/strategies/typing.py @@ -0,0 +1,29 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing 'TextEmbeddingResult' model.""" + +from collections.abc import Awaitable, Callable +from dataclasses import dataclass + +from datashaper import VerbCallbacks + +from graphrag.index.cache import PipelineCache + + +@dataclass +class TextEmbeddingResult: + """Text embedding result class definition.""" + + embeddings: list[list[float] | None] | None + + +TextEmbeddingStrategy = Callable[ + [ + list[str], + VerbCallbacks, + PipelineCache, + dict, + ], + Awaitable[TextEmbeddingResult], +] diff --git a/graphrag/index/verbs/text/embed/text_embed.py b/graphrag/index/verbs/text/embed/text_embed.py new file mode 100644 index 00000000..2d6def22 --- /dev/null +++ b/graphrag/index/verbs/text/embed/text_embed.py @@ -0,0 +1,263 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing text_embed, load_strategy and create_row_from_embedding_data methods definition.""" + +import logging +from enum import Enum +from typing import Any, cast + +import numpy as np +import pandas as pd +from datashaper import TableContainer, VerbCallbacks, VerbInput, verb + +from graphrag.index.cache import PipelineCache +from graphrag.vector_stores import ( + BaseVectorStore, + VectorStoreDocument, + VectorStoreFactory, +) + +from .strategies.typing import TextEmbeddingStrategy + +log = logging.getLogger(__name__) + +# Per Azure OpenAI Limits +# https://learn.microsoft.com/en-us/azure/ai-services/openai/reference +DEFAULT_EMBEDDING_BATCH_SIZE = 500 + + +class TextEmbedStrategyType(str, Enum): + """TextEmbedStrategyType class definition.""" + + openai = "openai" + mock = "mock" + + def __repr__(self): + """Get a string representation.""" + return f'"{self.value}"' + + +@verb(name="text_embed") +async def text_embed( + input: VerbInput, + callbacks: VerbCallbacks, + cache: PipelineCache, + column: str, + strategy: dict, + **kwargs, +) -> TableContainer: + """ + Embed a piece of text into a vector space. The verb outputs a new column containing a mapping between doc_id and vector. + + ## Usage + ```yaml + verb: text_embed + args: + column: text # The name of the column containing the text to embed, this can either be a column with text, or a column with a list[tuple[doc_id, str]] + to: embedding # The name of the column to output the embedding to + strategy: # See strategies section below + ``` + + ## Strategies + The text embed verb uses a strategy to embed the text. The strategy is an object which defines the strategy to use. The following strategies are available: + + ### openai + This strategy uses openai to embed a piece of text. In particular it uses a LLM to embed a piece of text. The strategy config is as follows: + + ```yaml + strategy: + type: openai + llm: # The configuration for the LLM + type: openai_embedding # the type of llm to use, available options are: openai_embedding, azure_openai_embedding + api_key: !ENV ${GRAPHRAG_OPENAI_API_KEY} # The api key to use for openai + model: !ENV ${GRAPHRAG_OPENAI_MODEL:gpt-4-turbo-preview} # The model to use for openai + max_tokens: !ENV ${GRAPHRAG_MAX_TOKENS:6000} # The max tokens to use for openai + organization: !ENV ${GRAPHRAG_OPENAI_ORGANIZATION} # The organization to use for openai + vector_store: # The optional configuration for the vector store + type: lancedb # The type of vector store to use, available options are: azure_ai_search, lancedb + <...> + ``` + """ + vector_store_config = strategy.get("vector_store") + + if vector_store_config: + embedding_name = kwargs.get("embedding_name", "default") + collection_name = _get_collection_name(vector_store_config, embedding_name) + vector_store: BaseVectorStore = _create_vector_store( + vector_store_config, collection_name + ) + vector_store_workflow_config = vector_store_config.get( + embedding_name, vector_store_config + ) + return await _text_embed_with_vector_store( + input, + callbacks, + cache, + column, + strategy, + vector_store, + vector_store_workflow_config, + vector_store_config.get("store_in_table", False), + kwargs.get("to", f"{column}_embedding"), + ) + + return await _text_embed_in_memory( + input, + callbacks, + cache, + column, + strategy, + kwargs.get("to", f"{column}_embedding"), + ) + + +async def _text_embed_in_memory( + input: VerbInput, + callbacks: VerbCallbacks, + cache: PipelineCache, + column: str, + strategy: dict, + to: str, +): + output_df = cast(pd.DataFrame, input.get_input()) + strategy_type = strategy["type"] + strategy_exec = load_strategy(strategy_type) + strategy_args = {**strategy} + input_table = input.get_input() + + texts: list[str] = input_table[column].to_numpy().tolist() + result = await strategy_exec(texts, callbacks, cache, strategy_args) + + output_df[to] = result.embeddings + return TableContainer(table=output_df) + + +async def _text_embed_with_vector_store( + input: VerbInput, + callbacks: VerbCallbacks, + cache: PipelineCache, + column: str, + strategy: dict[str, Any], + vector_store: BaseVectorStore, + vector_store_config: dict, + store_in_table: bool = False, + to: str = "", +): + output_df = cast(pd.DataFrame, input.get_input()) + strategy_type = strategy["type"] + strategy_exec = load_strategy(strategy_type) + strategy_args = {**strategy} + + # Get vector-storage configuration + insert_batch_size: int = ( + vector_store_config.get("batch_size") or DEFAULT_EMBEDDING_BATCH_SIZE + ) + title_column: str = vector_store_config.get("title_column", "title") + id_column: str = vector_store_config.get("id_column", "id") + overwrite: bool = vector_store_config.get("overwrite", True) + + if column not in output_df.columns: + msg = f"Column {column} not found in input dataframe with columns {output_df.columns}" + raise ValueError(msg) + if title_column not in output_df.columns: + msg = f"Column {title_column} not found in input dataframe with columns {output_df.columns}" + raise ValueError(msg) + if id_column not in output_df.columns: + msg = f"Column {id_column} not found in input dataframe with columns {output_df.columns}" + raise ValueError(msg) + + total_rows = 0 + for row in output_df[column]: + if isinstance(row, list): + total_rows += len(row) + else: + total_rows += 1 + + i = 0 + starting_index = 0 + + all_results = [] + + while insert_batch_size * i < input.get_input().shape[0]: + batch = input.get_input().iloc[ + insert_batch_size * i : insert_batch_size * (i + 1) + ] + texts: list[str] = batch[column].to_numpy().tolist() + titles: list[str] = batch[title_column].to_numpy().tolist() + ids: list[str] = batch[id_column].to_numpy().tolist() + result = await strategy_exec( + texts, + callbacks, + cache, + strategy_args, + ) + if store_in_table and result.embeddings: + embeddings = [ + embedding for embedding in result.embeddings if embedding is not None + ] + all_results.extend(embeddings) + + vectors = result.embeddings or [] + documents: list[VectorStoreDocument] = [] + for id, text, title, vector in zip(ids, texts, titles, vectors, strict=True): + if type(vector) == np.ndarray: + vector = vector.tolist() + document = VectorStoreDocument( + id=id, + text=text, + vector=vector, + attributes={"title": title}, + ) + documents.append(document) + + vector_store.load_documents(documents, overwrite and i == 0) + starting_index += len(documents) + i += 1 + + if store_in_table: + output_df[to] = all_results + + return TableContainer(table=output_df) + + +def _create_vector_store( + vector_store_config: dict, collection_name: str +) -> BaseVectorStore: + vector_store_type: str = str(vector_store_config.get("type")) + if collection_name: + vector_store_config.update({"collection_name": collection_name}) + + vector_store = VectorStoreFactory.get_vector_store( + vector_store_type, kwargs=vector_store_config + ) + + vector_store.connect(**vector_store_config) + return vector_store + + +def _get_collection_name(vector_store_config: dict, embedding_name: str) -> str: + collection_name = vector_store_config.get("collection_name") + if not collection_name: + collection_names = vector_store_config.get("collection_names", {}) + collection_name = collection_names.get(embedding_name, embedding_name) + + msg = f"using {vector_store_config.get('type')} collection_name {collection_name} for embedding {embedding_name}" + log.info(msg) + return collection_name + + +def load_strategy(strategy: TextEmbedStrategyType) -> TextEmbeddingStrategy: + """Load strategy method definition.""" + match strategy: + case TextEmbedStrategyType.openai: + from .strategies.openai import run as run_openai + + return run_openai + case TextEmbedStrategyType.mock: + from .strategies.mock import run as run_mock + + return run_mock + case _: + msg = f"Unknown strategy: {strategy}" + raise ValueError(msg) diff --git a/graphrag/index/verbs/text/replace/__init__.py b/graphrag/index/verbs/text/replace/__init__.py new file mode 100644 index 00000000..f863415f --- /dev/null +++ b/graphrag/index/verbs/text/replace/__init__.py @@ -0,0 +1,8 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine text replace package root.""" + +from .replace import text_replace + +__all__ = ["text_replace"] diff --git a/graphrag/index/verbs/text/replace/replace.py b/graphrag/index/verbs/text/replace/replace.py new file mode 100644 index 00000000..386fac34 --- /dev/null +++ b/graphrag/index/verbs/text/replace/replace.py @@ -0,0 +1,47 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing replace and _apply_replacements methods.""" + +from typing import cast + +import pandas as pd +from datashaper import TableContainer, VerbInput, verb + +from .typing import Replacement + + +@verb(name="text_replace") +def text_replace( + input: VerbInput, + column: str, + to: str, + replacements: list[dict[str, str]], + **_kwargs: dict, +) -> TableContainer: + """ + Apply a set of replacements to a piece of text. + + ## Usage + ```yaml + verb: text_replace + args: + column: # The name of the column containing the text to replace + to: # The name of the column to write the replaced text to + replacements: # A list of replacements to apply + - pattern: # The regex pattern to find + replacement: # The string to replace with + ``` + """ + output = cast(pd.DataFrame, input.get_input()) + parsed_replacements = [Replacement(**r) for r in replacements] + output[to] = output[column].apply( + lambda text: _apply_replacements(text, parsed_replacements) + ) + return TableContainer(table=output) + + +def _apply_replacements(text: str, replacements: list[Replacement]) -> str: + for r in replacements: + text = text.replace(r.pattern, r.replacement) + return text diff --git a/graphrag/index/verbs/text/replace/typing.py b/graphrag/index/verbs/text/replace/typing.py new file mode 100644 index 00000000..45beef9f --- /dev/null +++ b/graphrag/index/verbs/text/replace/typing.py @@ -0,0 +1,14 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing 'Replacement' model.""" + +from dataclasses import dataclass + + +@dataclass +class Replacement: + """Replacement class definition.""" + + pattern: str + replacement: str diff --git a/graphrag/index/verbs/text/split.py b/graphrag/index/verbs/text/split.py new file mode 100644 index 00000000..b1339ff4 --- /dev/null +++ b/graphrag/index/verbs/text/split.py @@ -0,0 +1,54 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing the text_split method definition.""" + +from typing import cast + +import pandas as pd +from datashaper import TableContainer, VerbInput, verb + + +@verb(name="text_split") +def text_split( + input: VerbInput, + column: str, + to: str, + separator: str = ",", + **_kwargs: dict, +) -> TableContainer: + """ + Split a piece of text into a list of strings based on a delimiter. The verb outputs a new column containing a list of strings. + + ## Usage + + ```yaml + verb: text_split + args: + column: text # The name of the column containing the text to split + to: split_text # The name of the column to output the split text to + separator: "," # The separator to split the text on, defaults to "," + ``` + """ + output = text_split_df(cast(pd.DataFrame, input.get_input()), column, to, separator) + return TableContainer(table=output) + + +def text_split_df( + input: pd.DataFrame, column: str, to: str, separator: str = "," +) -> pd.DataFrame: + """Split a column into a list of strings.""" + output = input + + def _apply_split(row): + if row[column] is None or isinstance(row[column], list): + return row[column] + if row[column] == "": + return [] + if not isinstance(row[column], str): + message = f"Expected {column} to be a string, but got {type(row[column])}" + raise TypeError(message) + return row[column].split(separator) + + output[to] = output.apply(_apply_split, axis=1) + return output diff --git a/graphrag/index/verbs/text/translate/__init__.py b/graphrag/index/verbs/text/translate/__init__.py new file mode 100644 index 00000000..ad830dfa --- /dev/null +++ b/graphrag/index/verbs/text/translate/__init__.py @@ -0,0 +1,8 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine text translate package root.""" + +from .text_translate import text_translate + +__all__ = ["text_translate"] diff --git a/graphrag/index/verbs/text/translate/strategies/__init__.py b/graphrag/index/verbs/text/translate/strategies/__init__.py new file mode 100644 index 00000000..d418bbae --- /dev/null +++ b/graphrag/index/verbs/text/translate/strategies/__init__.py @@ -0,0 +1,9 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine translate strategies package root.""" + +from .mock import run as run_mock +from .openai import run as run_openai + +__all__ = ["run_mock", "run_openai"] diff --git a/graphrag/index/verbs/text/translate/strategies/defaults.py b/graphrag/index/verbs/text/translate/strategies/defaults.py new file mode 100644 index 00000000..003e00eb --- /dev/null +++ b/graphrag/index/verbs/text/translate/strategies/defaults.py @@ -0,0 +1,8 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A file containing TRANSLATION_PROMPT value definition.""" + +TRANSLATION_PROMPT = """ + You are a helpful assistant. Translate into {language} the following text, and make sure all of the text is in {language}. + """.strip() diff --git a/graphrag/index/verbs/text/translate/strategies/mock.py b/graphrag/index/verbs/text/translate/strategies/mock.py new file mode 100644 index 00000000..58a5a999 --- /dev/null +++ b/graphrag/index/verbs/text/translate/strategies/mock.py @@ -0,0 +1,28 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing run and _summarize_text methods definitions.""" + +from typing import Any + +from datashaper import VerbCallbacks + +from graphrag.index.cache import PipelineCache + +from .typing import TextTranslationResult + + +async def run( # noqa RUF029 async is required for interface + input: str | list[str], + _args: dict[str, Any], + _reporter: VerbCallbacks, + _cache: PipelineCache, +) -> TextTranslationResult: + """Run the Claim extraction chain.""" + input = [input] if isinstance(input, str) else input + return TextTranslationResult(translations=[_translate_text(text) for text in input]) + + +def _translate_text(text: str) -> str: + """Translate a single piece of text.""" + return f"{text} translated" diff --git a/graphrag/index/verbs/text/translate/strategies/openai.py b/graphrag/index/verbs/text/translate/strategies/openai.py new file mode 100644 index 00000000..cf0628ff --- /dev/null +++ b/graphrag/index/verbs/text/translate/strategies/openai.py @@ -0,0 +1,92 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing run, _translate_text and _create_translation_prompt methods definition.""" + +import logging +import traceback +from typing import Any + +from datashaper import VerbCallbacks + +from graphrag.config.enums import LLMType +from graphrag.index.cache import PipelineCache +from graphrag.index.llm import load_llm +from graphrag.index.text_splitting import TokenTextSplitter +from graphrag.llm import CompletionLLM + +from .defaults import TRANSLATION_PROMPT as DEFAULT_TRANSLATION_PROMPT +from .typing import TextTranslationResult + +log = logging.getLogger(__name__) + + +async def run( + input: str | list[str], + args: dict[str, Any], + callbacks: VerbCallbacks, + pipeline_cache: PipelineCache, +) -> TextTranslationResult: + """Run the Claim extraction chain.""" + llm_config = args.get("llm", {"type": LLMType.StaticResponse}) + llm_type = llm_config.get("type", LLMType.StaticResponse) + llm = load_llm( + "text_translation", + llm_type, + callbacks, + pipeline_cache, + llm_config, + chat_only=True, + ) + language = args.get("language", "English") + prompt = args.get("prompt") + chunk_size = args.get("chunk_size", 2500) + chunk_overlap = args.get("chunk_overlap", 0) + + input = [input] if isinstance(input, str) else input + return TextTranslationResult( + translations=[ + await _translate_text( + text, language, prompt, llm, chunk_size, chunk_overlap, callbacks + ) + for text in input + ] + ) + + +async def _translate_text( + text: str, + language: str, + prompt: str | None, + llm: CompletionLLM, + chunk_size: int, + chunk_overlap: int, + callbacks: VerbCallbacks, +) -> str: + """Translate a single piece of text.""" + splitter = TokenTextSplitter( + chunk_size=chunk_size, + chunk_overlap=chunk_overlap, + ) + + out = "" + chunks = splitter.split_text(text) + for chunk in chunks: + try: + result = await llm( + chunk, + history=[ + { + "role": "system", + "content": (prompt or DEFAULT_TRANSLATION_PROMPT), + } + ], + variables={"language": language}, + ) + out += result.output or "" + except Exception as e: + log.exception("error translating text") + callbacks.error("Error translating text", e, traceback.format_exc()) + out += "" + + return out diff --git a/graphrag/index/verbs/text/translate/strategies/typing.py b/graphrag/index/verbs/text/translate/strategies/typing.py new file mode 100644 index 00000000..d91ed735 --- /dev/null +++ b/graphrag/index/verbs/text/translate/strategies/typing.py @@ -0,0 +1,25 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing 'TextTranslationResult' model.""" + +from collections.abc import Awaitable, Callable +from dataclasses import dataclass +from typing import Any + +from datashaper import VerbCallbacks + +from graphrag.index.cache import PipelineCache + + +@dataclass +class TextTranslationResult: + """Text translation result class definition.""" + + translations: list[str] + + +TextTranslationStrategy = Callable[ + [list[str], dict[str, Any], VerbCallbacks, PipelineCache], + Awaitable[TextTranslationResult], +] diff --git a/graphrag/index/verbs/text/translate/text_translate.py b/graphrag/index/verbs/text/translate/text_translate.py new file mode 100644 index 00000000..8d0faffe --- /dev/null +++ b/graphrag/index/verbs/text/translate/text_translate.py @@ -0,0 +1,120 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing text_translate methods definition.""" + +from enum import Enum +from typing import Any, cast + +import pandas as pd +from datashaper import ( + AsyncType, + TableContainer, + VerbCallbacks, + VerbInput, + derive_from_rows, + verb, +) + +from graphrag.index.cache import PipelineCache + +from .strategies.typing import TextTranslationStrategy + + +class TextTranslateStrategyType(str, Enum): + """TextTranslateStrategyType class definition.""" + + openai = "openai" + mock = "mock" + + def __repr__(self): + """Get a string representation.""" + return f'"{self.value}"' + + +@verb(name="text_translate") +async def text_translate( + input: VerbInput, + cache: PipelineCache, + callbacks: VerbCallbacks, + text_column: str, + to: str, + strategy: dict[str, Any], + async_mode: AsyncType = AsyncType.AsyncIO, + **kwargs, +) -> TableContainer: + """ + Translate a piece of text into another language. + + ## Usage + ```yaml + verb: text_translate + args: + text_column: # The name of the column containing the text to translate + to: # The name of the column to write the translated text to + strategy: # The strategy to use to translate the text, see below for more details + ``` + + ## Strategies + The text translate verb uses a strategy to translate the text. The strategy is an object which defines the strategy to use. The following strategies are available: + + ### openai + This strategy uses openai to translate a piece of text. In particular it uses a LLM to translate a piece of text. The strategy config is as follows: + + ```yaml + strategy: + type: openai + language: english # The language to translate to, default: english + prompt: # The prompt to use for the translation, default: None + chunk_size: 2500 # The chunk size to use for the translation, default: 2500 + chunk_overlap: 0 # The chunk overlap to use for the translation, default: 0 + llm: # The configuration for the LLM + type: openai_chat # the type of llm to use, available options are: openai_chat, azure_openai_chat + api_key: !ENV ${GRAPHRAG_OPENAI_API_KEY} # The api key to use for openai + model: !ENV ${GRAPHRAG_OPENAI_MODEL:gpt-4-turbo-preview} # The model to use for openai + max_tokens: !ENV ${GRAPHRAG_MAX_TOKENS:6000} # The max tokens to use for openai + organization: !ENV ${GRAPHRAG_OPENAI_ORGANIZATION} # The organization to use for openai + ``` + """ + output_df = cast(pd.DataFrame, input.get_input()) + strategy_type = strategy["type"] + strategy_args = {**strategy} + strategy_exec = _load_strategy(strategy_type) + + async def run_strategy(row): + text = row[text_column] + result = await strategy_exec(text, strategy_args, callbacks, cache) + + # If it is a single string, then return just the translation for that string + if isinstance(text, str): + return result.translations[0] + + # Otherwise, return a list of translations, one for each item in the input + return list(result.translations) + + results = await derive_from_rows( + output_df, + run_strategy, + callbacks, + scheduling_type=async_mode, + num_threads=kwargs.get("num_threads", 4), + ) + output_df[to] = results + return TableContainer(table=output_df) + + +def _load_strategy(strategy: TextTranslateStrategyType) -> TextTranslationStrategy: + match strategy: + case TextTranslateStrategyType.openai: + from .strategies.openai import run as run_openai + + return run_openai + + case TextTranslateStrategyType.mock: + from .strategies.mock import run as run_mock + + return run_mock + + case _: + msg = f"Unknown strategy: {strategy}" + raise ValueError(msg) diff --git a/graphrag/index/verbs/unzip.py b/graphrag/index/verbs/unzip.py new file mode 100644 index 00000000..4d8c8da0 --- /dev/null +++ b/graphrag/index/verbs/unzip.py @@ -0,0 +1,25 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing unzip method definition.""" + +from typing import cast + +import pandas as pd +from datashaper import TableContainer, VerbInput, verb + + +# TODO: Check if this is already a thing +# Takes 1|(x,y)|b +# and converts to +# 1|x|y|b +@verb(name="unzip") +def unzip( + input: VerbInput, column: str, to: list[str], **_kwargs: dict +) -> TableContainer: + """Unpacks a column containing a tuple into multiple columns.""" + table = cast(pd.DataFrame, input.get_input()) + + table[to] = pd.DataFrame(table[column].tolist(), index=table.index) + + return TableContainer(table=table) diff --git a/graphrag/index/verbs/zip.py b/graphrag/index/verbs/zip.py new file mode 100644 index 00000000..462395d3 --- /dev/null +++ b/graphrag/index/verbs/zip.py @@ -0,0 +1,51 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing ds_zip method definition.""" + +from typing import cast + +import pandas as pd +from datashaper import TableContainer, VerbInput, verb + + +@verb(name="zip") +def zip_verb( + input: VerbInput, + to: str, + columns: list[str], + type: str | None = None, # noqa A002 + **_kwargs: dict, +) -> TableContainer: + """ + Zip columns together. + + ## Usage + TODO + + """ + table = cast(pd.DataFrame, input.get_input()) + if type is None: + table[to] = list(zip(*[table[col] for col in columns], strict=True)) + + # This one is a little weird + elif type == "dict": + if len(columns) != 2: + msg = f"Expected exactly two columns for a dict, got {columns}" + raise ValueError(msg) + key_col, value_col = columns + + results = [] + for _, row in table.iterrows(): + keys = row[key_col] + values = row[value_col] + output = {} + if len(keys) != len(values): + msg = f"Expected same number of keys and values, got {len(keys)} keys and {len(values)} values" + raise ValueError(msg) + for idx, key in enumerate(keys): + output[key] = values[idx] + results.append(output) + + table[to] = results + return TableContainer(table=table.reset_index(drop=True)) diff --git a/graphrag/index/workflows/__init__.py b/graphrag/index/workflows/__init__.py new file mode 100644 index 00000000..ed580309 --- /dev/null +++ b/graphrag/index/workflows/__init__.py @@ -0,0 +1,25 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine workflows package root.""" + +from .load import create_workflow, load_workflows +from .typing import ( + StepDefinition, + VerbDefinitions, + VerbTiming, + WorkflowConfig, + WorkflowDefinitions, + WorkflowToRun, +) + +__all__ = [ + "StepDefinition", + "VerbDefinitions", + "VerbTiming", + "WorkflowConfig", + "WorkflowDefinitions", + "WorkflowToRun", + "create_workflow", + "load_workflows", +] diff --git a/graphrag/index/workflows/default_workflows.py b/graphrag/index/workflows/default_workflows.py new file mode 100644 index 00000000..81112bee --- /dev/null +++ b/graphrag/index/workflows/default_workflows.py @@ -0,0 +1,121 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A package containing default workflows definitions.""" + +from .typing import WorkflowDefinitions +from .v1.create_base_documents import ( + build_steps as build_create_base_documents_steps, +) +from .v1.create_base_documents import ( + workflow_name as create_base_documents, +) +from .v1.create_base_entity_graph import ( + build_steps as build_create_base_entity_graph_steps, +) +from .v1.create_base_entity_graph import ( + workflow_name as create_base_entity_graph, +) +from .v1.create_base_extracted_entities import ( + build_steps as build_create_base_extracted_entities_steps, +) +from .v1.create_base_extracted_entities import ( + workflow_name as create_base_extracted_entities, +) +from .v1.create_base_text_units import ( + build_steps as build_create_base_text_units_steps, +) +from .v1.create_base_text_units import ( + workflow_name as create_base_text_units, +) +from .v1.create_final_communities import ( + build_steps as build_create_final_communities_steps, +) +from .v1.create_final_communities import ( + workflow_name as create_final_communities, +) +from .v1.create_final_community_reports import ( + build_steps as build_create_final_community_reports_steps, +) +from .v1.create_final_community_reports import ( + workflow_name as create_final_community_reports, +) +from .v1.create_final_covariates import ( + build_steps as build_create_final_covariates_steps, +) +from .v1.create_final_covariates import ( + workflow_name as create_final_covariates, +) +from .v1.create_final_documents import ( + build_steps as build_create_final_documents_steps, +) +from .v1.create_final_documents import ( + workflow_name as create_final_documents, +) +from .v1.create_final_entities import ( + build_steps as build_create_final_entities_steps, +) +from .v1.create_final_entities import ( + workflow_name as create_final_entities, +) +from .v1.create_final_nodes import ( + build_steps as build_create_final_nodes_steps, +) +from .v1.create_final_nodes import ( + workflow_name as create_final_nodes, +) +from .v1.create_final_relationships import ( + build_steps as build_create_final_relationships_steps, +) +from .v1.create_final_relationships import ( + workflow_name as create_final_relationships, +) +from .v1.create_final_text_units import ( + build_steps as build_create_final_text_units, +) +from .v1.create_final_text_units import ( + workflow_name as create_final_text_units, +) +from .v1.create_summarized_entities import ( + build_steps as build_create_summarized_entities_steps, +) +from .v1.create_summarized_entities import ( + workflow_name as create_summarized_entities, +) +from .v1.join_text_units_to_covariate_ids import ( + build_steps as join_text_units_to_covariate_ids_steps, +) +from .v1.join_text_units_to_covariate_ids import ( + workflow_name as join_text_units_to_covariate_ids, +) +from .v1.join_text_units_to_entity_ids import ( + build_steps as join_text_units_to_entity_ids_steps, +) +from .v1.join_text_units_to_entity_ids import ( + workflow_name as join_text_units_to_entity_ids, +) +from .v1.join_text_units_to_relationship_ids import ( + build_steps as join_text_units_to_relationship_ids_steps, +) +from .v1.join_text_units_to_relationship_ids import ( + workflow_name as join_text_units_to_relationship_ids, +) + +default_workflows: WorkflowDefinitions = { + create_base_extracted_entities: build_create_base_extracted_entities_steps, + create_base_entity_graph: build_create_base_entity_graph_steps, + create_base_text_units: build_create_base_text_units_steps, + create_final_text_units: build_create_final_text_units, + create_final_community_reports: build_create_final_community_reports_steps, + create_final_nodes: build_create_final_nodes_steps, + create_final_relationships: build_create_final_relationships_steps, + create_final_documents: build_create_final_documents_steps, + create_final_covariates: build_create_final_covariates_steps, + create_base_documents: build_create_base_documents_steps, + create_final_entities: build_create_final_entities_steps, + create_final_communities: build_create_final_communities_steps, + create_summarized_entities: build_create_summarized_entities_steps, + join_text_units_to_entity_ids: join_text_units_to_entity_ids_steps, + join_text_units_to_covariate_ids: join_text_units_to_covariate_ids_steps, + join_text_units_to_relationship_ids: join_text_units_to_relationship_ids_steps, +} diff --git a/graphrag/index/workflows/load.py b/graphrag/index/workflows/load.py new file mode 100644 index 00000000..4dd6f9bf --- /dev/null +++ b/graphrag/index/workflows/load.py @@ -0,0 +1,171 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing load_workflows, create_workflow, _get_steps_for_workflow and _remove_disabled_steps methods definition.""" + +from __future__ import annotations + +import logging +from collections.abc import Callable +from typing import TYPE_CHECKING, Any, NamedTuple, cast + +from datashaper import Workflow + +from graphrag.index.errors import ( + NoWorkflowsDefinedError, + UndefinedWorkflowError, + UnknownWorkflowError, +) +from graphrag.index.utils import topological_sort + +from .default_workflows import default_workflows as _default_workflows +from .typing import VerbDefinitions, WorkflowDefinitions, WorkflowToRun + +if TYPE_CHECKING: + from graphrag.index.config import ( + PipelineWorkflowConfig, + PipelineWorkflowReference, + PipelineWorkflowStep, + ) + +anonymous_workflow_count = 0 + +VerbFn = Callable[..., Any] +log = logging.getLogger(__name__) + + +class LoadWorkflowResult(NamedTuple): + """A workflow loading result object.""" + + workflows: list[WorkflowToRun] + """The loaded workflow names in the order they should be run.""" + + dependencies: dict[str, list[str]] + """A dictionary of workflow name to workflow dependencies.""" + + +def load_workflows( + workflows_to_load: list[PipelineWorkflowReference], + additional_verbs: VerbDefinitions | None = None, + additional_workflows: WorkflowDefinitions | None = None, + memory_profile: bool = False, +) -> LoadWorkflowResult: + """Load the given workflows. + + Args: + - workflows_to_load - The workflows to load + - additional_verbs - The list of custom verbs available to the workflows + - additional_workflows - The list of custom workflows + Returns: + - output[0] - The loaded workflow names in the order they should be run + - output[1] - A dictionary of workflow name to workflow dependencies + """ + workflow_graph: dict[str, WorkflowToRun] = {} + + global anonymous_workflow_count + for reference in workflows_to_load: + name = reference.name + is_anonymous = name is None or name.strip() == "" + if is_anonymous: + name = f"Anonymous Workflow {anonymous_workflow_count}" + anonymous_workflow_count += 1 + name = cast(str, name) + + config = reference.config + workflow = create_workflow( + name or "MISSING NAME!", + reference.steps, + config, + additional_verbs, + additional_workflows, + ) + workflow_graph[name] = WorkflowToRun(workflow, config=config or {}) + + # Backfill any missing workflows + for name in list(workflow_graph.keys()): + workflow = workflow_graph[name] + deps = [ + d.replace("workflow:", "") + for d in workflow.workflow.dependencies + if d.startswith("workflow:") + ] + for dependency in deps: + if dependency not in workflow_graph: + reference = {"name": dependency, **workflow.config} + workflow_graph[dependency] = WorkflowToRun( + workflow=create_workflow( + dependency, + config=reference, + additional_verbs=additional_verbs, + additional_workflows=additional_workflows, + memory_profile=memory_profile, + ), + config=reference, + ) + + # Run workflows in order of dependencies + def filter_wf_dependencies(name: str) -> list[str]: + externals = [ + e.replace("workflow:", "") + for e in workflow_graph[name].workflow.dependencies + ] + return [e for e in externals if e in workflow_graph] + + task_graph = {name: filter_wf_dependencies(name) for name in workflow_graph} + workflow_run_order = topological_sort(task_graph) + workflows = [workflow_graph[name] for name in workflow_run_order] + log.info("Workflow Run Order: %s", workflow_run_order) + return LoadWorkflowResult(workflows=workflows, dependencies=task_graph) + + +def create_workflow( + name: str, + steps: list[PipelineWorkflowStep] | None = None, + config: PipelineWorkflowConfig | None = None, + additional_verbs: VerbDefinitions | None = None, + additional_workflows: WorkflowDefinitions | None = None, + memory_profile: bool = False, +) -> Workflow: + """Create a workflow from the given config.""" + additional_workflows = { + **_default_workflows, + **(additional_workflows or {}), + } + steps = steps or _get_steps_for_workflow(name, config, additional_workflows) + steps = _remove_disabled_steps(steps) + return Workflow( + verbs=additional_verbs or {}, + schema={ + "name": name, + "steps": steps, + }, + validate=False, + memory_profile=memory_profile, + ) + + +def _get_steps_for_workflow( + name: str | None, + config: PipelineWorkflowConfig | None, + workflows: dict[str, Callable] | None, +) -> list[PipelineWorkflowStep]: + """Get the steps for the given workflow config.""" + if config is not None and "steps" in config: + return config["steps"] + + if workflows is None: + raise NoWorkflowsDefinedError + + if name is None: + raise UndefinedWorkflowError + + if name not in workflows: + raise UnknownWorkflowError(name) + + return workflows[name](config or {}) + + +def _remove_disabled_steps( + steps: list[PipelineWorkflowStep], +) -> list[PipelineWorkflowStep]: + return [step for step in steps if step.get("enabled", True)] diff --git a/graphrag/index/workflows/typing.py b/graphrag/index/workflows/typing.py new file mode 100644 index 00000000..3b44545b --- /dev/null +++ b/graphrag/index/workflows/typing.py @@ -0,0 +1,33 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing 'WorkflowToRun' model.""" + +from collections.abc import Callable +from dataclasses import dataclass as dc_dataclass +from typing import Any + +from datashaper import TableContainer, Workflow + +StepDefinition = dict[str, Any] +"""A step definition.""" + +VerbDefinitions = dict[str, Callable[..., TableContainer]] +"""A mapping of verb names to their implementations.""" + +WorkflowConfig = dict[str, Any] +"""A workflow configuration.""" + +WorkflowDefinitions = dict[str, Callable[[WorkflowConfig], list[StepDefinition]]] +"""A mapping of workflow names to their implementations.""" + +VerbTiming = dict[str, float] +"""The timings of verbs by id.""" + + +@dc_dataclass +class WorkflowToRun: + """Workflow to run class definition.""" + + workflow: Workflow + config: dict[str, Any] diff --git a/graphrag/index/workflows/v1/__init__.py b/graphrag/index/workflows/v1/__init__.py new file mode 100644 index 00000000..69518f5e --- /dev/null +++ b/graphrag/index/workflows/v1/__init__.py @@ -0,0 +1,4 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Indexing Engine workflows package root.""" diff --git a/graphrag/index/workflows/v1/create_base_documents.py b/graphrag/index/workflows/v1/create_base_documents.py new file mode 100644 index 00000000..bd7094c6 --- /dev/null +++ b/graphrag/index/workflows/v1/create_base_documents.py @@ -0,0 +1,105 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing build_steps method definition.""" + +from datashaper import DEFAULT_INPUT_NAME + +from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep + +workflow_name = "create_base_documents" + + +def build_steps( + config: PipelineWorkflowConfig, +) -> list[PipelineWorkflowStep]: + """ + Create the documents table. + + ## Dependencies + * `workflow:create_final_text_units` + """ + document_attribute_columns = config.get("document_attribute_columns", []) + return [ + { + "verb": "unroll", + "args": {"column": "document_ids"}, + "input": {"source": "workflow:create_final_text_units"}, + }, + { + "verb": "select", + "args": { + # We only need the chunk id and the document id + "columns": ["id", "document_ids", "text"] + }, + }, + { + "id": "rename_chunk_doc_id", + "verb": "rename", + "args": { + "columns": { + "document_ids": "chunk_doc_id", + "id": "chunk_id", + "text": "chunk_text", + } + }, + }, + { + "verb": "join", + "args": { + # Join the doc id from the chunk onto the original document + "on": ["chunk_doc_id", "id"] + }, + "input": {"source": "rename_chunk_doc_id", "others": [DEFAULT_INPUT_NAME]}, + }, + { + "id": "docs_with_text_units", + "verb": "aggregate_override", + "args": { + "groupby": ["id"], + "aggregations": [ + { + "column": "chunk_id", + "operation": "array_agg", + "to": "text_units", + } + ], + }, + }, + { + "verb": "join", + "args": { + "on": ["id", "id"], + "strategy": "right outer", + }, + "input": { + "source": "docs_with_text_units", + "others": [DEFAULT_INPUT_NAME], + }, + }, + { + "verb": "rename", + "args": {"columns": {"text": "raw_content"}}, + }, + *[ + { + "verb": "convert", + "args": { + "column": column, + "to": column, + "type": "string", + }, + } + for column in document_attribute_columns + ], + { + "verb": "merge_override", + "enabled": len(document_attribute_columns) > 0, + "args": { + "columns": document_attribute_columns, + "strategy": "json", + "to": "attributes", + }, + }, + {"verb": "convert", "args": {"column": "id", "to": "id", "type": "string"}}, + ] diff --git a/graphrag/index/workflows/v1/create_base_entity_graph.py b/graphrag/index/workflows/v1/create_base_entity_graph.py new file mode 100644 index 00000000..b001aad2 --- /dev/null +++ b/graphrag/index/workflows/v1/create_base_entity_graph.py @@ -0,0 +1,91 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing build_steps method definition.""" + +from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep + +workflow_name = "create_base_entity_graph" + + +def build_steps( + config: PipelineWorkflowConfig, +) -> list[PipelineWorkflowStep]: + """ + Create the base table for the entity graph. + + ## Dependencies + * `workflow:create_base_extracted_entities` + """ + clustering_config = config.get( + "cluster_graph", + {"strategy": {"type": "leiden"}}, + ) + embed_graph_config = config.get( + "embed_graph", + { + "strategy": { + "type": "node2vec", + "num_walks": config.get("embed_num_walks", 10), + "walk_length": config.get("embed_walk_length", 40), + "window_size": config.get("embed_window_size", 2), + "iterations": config.get("embed_iterations", 3), + "random_seed": config.get("embed_random_seed", 86), + } + }, + ) + + graphml_snapshot_enabled = config.get("graphml_snapshot", False) or False + embed_graph_enabled = config.get("embed_graph_enabled", False) or False + + return [ + { + "verb": "cluster_graph", + "args": { + **clustering_config, + "column": "entity_graph", + "to": "clustered_graph", + "level_to": "level", + }, + "input": ({"source": "workflow:create_summarized_entities"}), + }, + { + "verb": "snapshot_rows", + "enabled": graphml_snapshot_enabled, + "args": { + "base_name": "clustered_graph", + "column": "clustered_graph", + "formats": [{"format": "text", "extension": "graphml"}], + }, + }, + { + "verb": "embed_graph", + "enabled": embed_graph_enabled, + "args": { + "column": "clustered_graph", + "to": "embeddings", + **embed_graph_config, + }, + }, + { + "verb": "snapshot_rows", + "enabled": graphml_snapshot_enabled, + "args": { + "base_name": "embedded_graph", + "column": "entity_graph", + "formats": [{"format": "text", "extension": "graphml"}], + }, + }, + { + "verb": "select", + "args": { + # only selecting for documentation sake, so we know what is contained in + # this workflow + "columns": ( + ["level", "clustered_graph", "embeddings"] + if embed_graph_enabled + else ["level", "clustered_graph"] + ), + }, + }, + ] diff --git a/graphrag/index/workflows/v1/create_base_extracted_entities.py b/graphrag/index/workflows/v1/create_base_extracted_entities.py new file mode 100644 index 00000000..30d608e9 --- /dev/null +++ b/graphrag/index/workflows/v1/create_base_extracted_entities.py @@ -0,0 +1,95 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing build_steps method definition.""" + +from datashaper import AsyncType + +from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep + +workflow_name = "create_base_extracted_entities" + + +def build_steps( + config: PipelineWorkflowConfig, +) -> list[PipelineWorkflowStep]: + """ + Create the base table for extracted entities. + + ## Dependencies + * `workflow:create_base_text_units` + """ + entity_extraction_config = config.get("entity_extract", {}) + graphml_snapshot_enabled = config.get("graphml_snapshot", False) or False + raw_entity_snapshot_enabled = config.get("raw_entity_snapshot", False) or False + + return [ + { + "verb": "entity_extract", + "args": { + **entity_extraction_config, + "column": entity_extraction_config.get("text_column", "chunk"), + "id_column": entity_extraction_config.get("id_column", "chunk_id"), + "async_mode": entity_extraction_config.get( + "async_mode", AsyncType.AsyncIO + ), + "to": "entities", + "graph_to": "entity_graph", + }, + "input": {"source": "workflow:create_base_text_units"}, + }, + { + "verb": "snapshot", + "enabled": raw_entity_snapshot_enabled, + "args": { + "name": "raw_extracted_entities", + "formats": ["json"], + }, + }, + { + "verb": "merge_graphs", + "args": { + "column": "entity_graph", + "to": "entity_graph", + **config.get( + "graph_merge_operations", + { + "nodes": { + "source_id": { + "operation": "concat", + "delimiter": ", ", + "distinct": True, + }, + "description": ({ + "operation": "concat", + "separator": "\n", + "distinct": False, + }), + }, + "edges": { + "source_id": { + "operation": "concat", + "delimiter": ", ", + "distinct": True, + }, + "description": ({ + "operation": "concat", + "separator": "\n", + "distinct": False, + }), + "weight": "sum", + }, + }, + ), + }, + }, + { + "verb": "snapshot_rows", + "enabled": graphml_snapshot_enabled, + "args": { + "base_name": "merged_graph", + "column": "entity_graph", + "formats": [{"format": "text", "extension": "graphml"}], + }, + }, + ] diff --git a/graphrag/index/workflows/v1/create_base_text_units.py b/graphrag/index/workflows/v1/create_base_text_units.py new file mode 100644 index 00000000..63876e5e --- /dev/null +++ b/graphrag/index/workflows/v1/create_base_text_units.py @@ -0,0 +1,112 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing build_steps method definition.""" + +from datashaper import DEFAULT_INPUT_NAME + +from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep + +workflow_name = "create_base_text_units" + + +def build_steps( + config: PipelineWorkflowConfig, +) -> list[PipelineWorkflowStep]: + """ + Create the base table for text units. + + ## Dependencies + None + """ + chunk_column_name = config.get("chunk_column", "chunk") + chunk_by_columns = config.get("chunk_by", []) or [] + n_tokens_column_name = config.get("n_tokens_column", "n_tokens") + return [ + { + "verb": "orderby", + "args": { + "orders": [ + # sort for reproducibility + {"column": "id", "direction": "asc"}, + ] + }, + "input": {"source": DEFAULT_INPUT_NAME}, + }, + { + "verb": "zip", + "args": { + # Pack the document ids with the text + # So when we unpack the chunks, we can restore the document id + "columns": ["id", "text"], + "to": "text_with_ids", + }, + }, + { + "verb": "aggregate_override", + "args": { + "groupby": [*chunk_by_columns] if len(chunk_by_columns) > 0 else None, + "aggregations": [ + { + "column": "text_with_ids", + "operation": "array_agg", + "to": "texts", + } + ], + }, + }, + { + "verb": "chunk", + "args": {"column": "texts", "to": "chunks", **config.get("text_chunk", {})}, + }, + { + "verb": "select", + "args": { + "columns": [*chunk_by_columns, "chunks"], + }, + }, + { + "verb": "unroll", + "args": { + "column": "chunks", + }, + }, + { + "verb": "rename", + "args": { + "columns": { + "chunks": chunk_column_name, + } + }, + }, + { + "verb": "genid", + "args": { + # Generate a unique id for each chunk + "to": "chunk_id", + "method": "md5_hash", + "hash": [chunk_column_name], + }, + }, + { + "verb": "unzip", + "args": { + "column": chunk_column_name, + "to": ["document_ids", chunk_column_name, n_tokens_column_name], + }, + }, + {"verb": "copy", "args": {"column": "chunk_id", "to": "id"}}, + { + # ELIMINATE EMPTY CHUNKS + "verb": "filter", + "args": { + "column": chunk_column_name, + "criteria": [ + { + "type": "value", + "operator": "is not empty", + } + ], + }, + }, + ] diff --git a/graphrag/index/workflows/v1/create_final_communities.py b/graphrag/index/workflows/v1/create_final_communities.py new file mode 100644 index 00000000..f8949dfc --- /dev/null +++ b/graphrag/index/workflows/v1/create_final_communities.py @@ -0,0 +1,172 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing build_steps method definition.""" + +from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep + +workflow_name = "create_final_communities" + + +def build_steps( + _config: PipelineWorkflowConfig, +) -> list[PipelineWorkflowStep]: + """ + Create the final communities table. + + ## Dependencies + * `workflow:create_base_entity_graph` + """ + return [ + { + "id": "graph_nodes", + "verb": "unpack_graph", + "args": { + "column": "clustered_graph", + "type": "nodes", + }, + "input": {"source": "workflow:create_base_entity_graph"}, + }, + { + "id": "graph_edges", + "verb": "unpack_graph", + "args": { + "column": "clustered_graph", + "type": "edges", + }, + "input": {"source": "workflow:create_base_entity_graph"}, + }, + { + "id": "source_clusters", + "verb": "join", + "args": { + "on": ["label", "source"], + }, + "input": {"source": "graph_nodes", "others": ["graph_edges"]}, + }, + { + "id": "target_clusters", + "verb": "join", + "args": { + "on": ["label", "target"], + }, + "input": {"source": "graph_nodes", "others": ["graph_edges"]}, + }, + { + "id": "concatenated_clusters", + "verb": "concat", + "input": { + "source": "source_clusters", + "others": ["target_clusters"], + }, + }, + { + "id": "combined_clusters", + "verb": "filter", + "args": { + # level_1 is the left side of the join + # level_2 is the right side of the join + "column": "level_1", + "criteria": [ + {"type": "column", "operator": "equals", "value": "level_2"} + ], + }, + "input": {"source": "concatenated_clusters"}, + }, + { + "id": "cluster_relationships", + "verb": "aggregate_override", + "args": { + "groupby": [ + "cluster", + "level_1", # level_1 is the left side of the join + ], + "aggregations": [ + { + "column": "id_2", # this is the id of the edge from the join steps above + "to": "relationship_ids", + "operation": "array_agg_distinct", + }, + { + "column": "source_id_1", + "to": "text_unit_ids", + "operation": "array_agg_distinct", + }, + ], + }, + "input": {"source": "combined_clusters"}, + }, + { + "id": "all_clusters", + "verb": "aggregate_override", + "args": { + "groupby": ["cluster", "level"], + "aggregations": [{"column": "cluster", "to": "id", "operation": "any"}], + }, + "input": {"source": "graph_nodes"}, + }, + { + "verb": "join", + "args": { + "on": ["id", "cluster"], + }, + "input": {"source": "all_clusters", "others": ["cluster_relationships"]}, + }, + { + "verb": "filter", + "args": { + # level is the left side of the join + # level_1 is the right side of the join + "column": "level", + "criteria": [ + {"type": "column", "operator": "equals", "value": "level_1"} + ], + }, + }, + *create_community_title_wf, + { + # TODO: Rodrigo says "raw_community" is temporary + "verb": "copy", + "args": { + "column": "id", + "to": "raw_community", + }, + }, + { + "verb": "select", + "args": { + "columns": [ + "id", + "title", + "level", + "raw_community", + "relationship_ids", + "text_unit_ids", + ], + }, + }, + ] + + +create_community_title_wf = [ + # Hack to string concat "Community " + id + { + "verb": "fill", + "args": { + "to": "__temp", + "value": "Community ", + }, + }, + { + "verb": "merge", + "args": { + "columns": [ + "__temp", + "id", + ], + "to": "title", + "strategy": "concat", + "preserveSource": True, + }, + }, +] diff --git a/graphrag/index/workflows/v1/create_final_community_reports.py b/graphrag/index/workflows/v1/create_final_community_reports.py new file mode 100644 index 00000000..164c70e0 --- /dev/null +++ b/graphrag/index/workflows/v1/create_final_community_reports.py @@ -0,0 +1,133 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing build_steps method definition.""" + +from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep + +workflow_name = "create_final_community_reports" + + +def build_steps( + config: PipelineWorkflowConfig, +) -> list[PipelineWorkflowStep]: + """ + Create the final community reports table. + + ## Dependencies + * `workflow:create_base_entity_graph` + """ + covariates_enabled = config.get("covariates_enabled", False) + create_community_reports_config = config.get("create_community_reports", {}) + base_text_embed = config.get("text_embed", {}) + community_report_full_content_embed_config = config.get( + "community_report_full_content_embed", base_text_embed + ) + community_report_summary_embed_config = config.get( + "community_report_summary_embed", base_text_embed + ) + community_report_title_embed_config = config.get( + "community_report_title_embed", base_text_embed + ) + skip_title_embedding = config.get("skip_title_embedding", False) + skip_summary_embedding = config.get("skip_summary_embedding", False) + skip_full_content_embedding = config.get("skip_full_content_embedding", False) + + return [ + # + # Subworkflow: Prepare Nodes + # + { + "id": "nodes", + "verb": "prepare_community_reports_nodes", + "input": {"source": "workflow:create_final_nodes"}, + }, + # + # Subworkflow: Prepare Edges + # + { + "id": "edges", + "verb": "prepare_community_reports_edges", + "input": {"source": "workflow:create_final_relationships"}, + }, + # + # Subworkflow: Prepare Claims Table + # + { + "id": "claims", + "enabled": covariates_enabled, + "verb": "prepare_community_reports_claims", + "input": { + "source": "workflow:create_final_covariates", + } + if covariates_enabled + else {}, + }, + # + # Subworkflow: Get Community Hierarchy + # + { + "id": "community_hierarchy", + "verb": "restore_community_hierarchy", + "input": {"source": "nodes"}, + }, + # + # Main Workflow: Create Community Reports + # + { + "id": "local_contexts", + "verb": "prepare_community_reports", + "input": { + "source": "nodes", + "nodes": "nodes", + "edges": "edges", + **({"claims": "claims"} if covariates_enabled else {}), + }, + }, + { + "verb": "create_community_reports", + "args": { + **create_community_reports_config, + }, + "input": { + "source": "local_contexts", + "community_hierarchy": "community_hierarchy", + "nodes": "nodes", + }, + }, + { + # Generate a unique ID for each community report distinct from the community ID + "verb": "window", + "args": {"to": "id", "operation": "uuid", "column": "community"}, + }, + { + "verb": "text_embed", + "enabled": not skip_full_content_embedding, + "args": { + "embedding_name": "community_report_full_content", + "column": "full_content", + "to": "full_content_embedding", + **community_report_full_content_embed_config, + }, + }, + { + "verb": "text_embed", + "enabled": not skip_summary_embedding, + "args": { + "embedding_name": "community_report_summary", + "column": "summary", + "to": "summary_embedding", + **community_report_summary_embed_config, + }, + }, + { + "verb": "text_embed", + "enabled": not skip_title_embedding, + "args": { + "embedding_name": "community_report_title", + "column": "title", + "to": "title_embedding", + **community_report_title_embed_config, + }, + }, + ] diff --git a/graphrag/index/workflows/v1/create_final_covariates.py b/graphrag/index/workflows/v1/create_final_covariates.py new file mode 100644 index 00000000..d1090e50 --- /dev/null +++ b/graphrag/index/workflows/v1/create_final_covariates.py @@ -0,0 +1,90 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing build_steps method definition.""" + +from datashaper import AsyncType + +from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep + +workflow_name = "create_final_covariates" + + +def build_steps( + config: PipelineWorkflowConfig, +) -> list[PipelineWorkflowStep]: + """ + Create the final covariates table. + + ## Dependencies + * `workflow:create_base_text_units` + * `workflow:create_base_extracted_entities` + """ + claim_extract_config = config.get("claim_extract", {}) + + input = {"source": "workflow:create_base_text_units"} + + return [ + { + "verb": "extract_covariates", + "args": { + "column": config.get("chunk_column", "chunk"), + "id_column": config.get("chunk_id_column", "chunk_id"), + "resolved_entities_column": "resolved_entities", + "covariate_type": "claim", + "async_mode": config.get("async_mode", AsyncType.AsyncIO), + **claim_extract_config, + }, + "input": input, + }, + { + "verb": "window", + "args": {"to": "id", "operation": "uuid", "column": "covariate_type"}, + }, + { + "verb": "genid", + "args": { + "to": "human_readable_id", + "method": "increment", + }, + }, + { + "verb": "convert", + "args": { + "column": "human_readable_id", + "type": "string", + "to": "human_readable_id", + }, + }, + { + "verb": "rename", + "args": { + "columns": { + "chunk_id": "text_unit_id", + } + }, + }, + { + "verb": "select", + "args": { + "columns": [ + "id", + "human_readable_id", + "covariate_type", + "type", + "description", + "subject_id", + "subject_type", + "object_id", + "object_type", + "status", + "start_date", + "end_date", + "source_text", + "text_unit_id", + "document_ids", + "n_tokens", + ] + }, + }, + ] diff --git a/graphrag/index/workflows/v1/create_final_documents.py b/graphrag/index/workflows/v1/create_final_documents.py new file mode 100644 index 00000000..d09ce001 --- /dev/null +++ b/graphrag/index/workflows/v1/create_final_documents.py @@ -0,0 +1,41 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing build_steps method definition.""" + +from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep + +workflow_name = "create_final_documents" + + +def build_steps( + config: PipelineWorkflowConfig, +) -> list[PipelineWorkflowStep]: + """ + Create the final documents table. + + ## Dependencies + * `workflow:create_base_documents` + * `workflow:create_base_document_nodes` + """ + base_text_embed = config.get("text_embed", {}) + document_raw_content_embed_config = config.get( + "document_raw_content_embed", base_text_embed + ) + skip_raw_content_embedding = config.get("skip_raw_content_embedding", False) + return [ + { + "verb": "rename", + "args": {"columns": {"text_units": "text_unit_ids"}}, + "input": {"source": "workflow:create_base_documents"}, + }, + { + "verb": "text_embed", + "enabled": not skip_raw_content_embedding, + "args": { + "column": "raw_content", + "to": "raw_content_embedding", + **document_raw_content_embed_config, + }, + }, + ] diff --git a/graphrag/index/workflows/v1/create_final_entities.py b/graphrag/index/workflows/v1/create_final_entities.py new file mode 100644 index 00000000..9d8b962b --- /dev/null +++ b/graphrag/index/workflows/v1/create_final_entities.py @@ -0,0 +1,133 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing build_steps method definition.""" + +from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep + +workflow_name = "create_final_entities" + + +def build_steps( + config: PipelineWorkflowConfig, +) -> list[PipelineWorkflowStep]: + """ + Create the final entities table. + + ## Dependencies + * `workflow:create_base_entity_graph` + """ + base_text_embed = config.get("text_embed", {}) + entity_name_embed_config = config.get("entity_name_embed", base_text_embed) + entity_name_description_embed_config = config.get( + "entity_name_description_embed", base_text_embed + ) + skip_name_embedding = config.get("skip_name_embedding", False) + skip_description_embedding = config.get("skip_description_embedding", False) + is_using_vector_store = ( + entity_name_embed_config.get("strategy", {}).get("vector_store", None) + is not None + ) + + return [ + { + "verb": "unpack_graph", + "args": { + "column": "clustered_graph", + "type": "nodes", + }, + "input": {"source": "workflow:create_base_entity_graph"}, + }, + {"verb": "rename", "args": {"columns": {"label": "title"}}}, + { + "verb": "select", + "args": { + "columns": [ + "id", + "title", + "type", + "description", + "human_readable_id", + "graph_embedding", + "source_id", + ], + }, + }, + { + # create_base_entity_graph has multiple levels of clustering, which means there are multiple graphs with the same entities + # this dedupes the entities so that there is only one of each entity + "verb": "dedupe", + "args": {"columns": ["id"]}, + }, + {"verb": "rename", "args": {"columns": {"title": "name"}}}, + { + # ELIMINATE EMPTY NAMES + "verb": "filter", + "args": { + "column": "name", + "criteria": [ + { + "type": "value", + "operator": "is not empty", + } + ], + }, + }, + { + "verb": "text_split", + "args": {"separator": ",", "column": "source_id", "to": "text_unit_ids"}, + }, + {"verb": "drop", "args": {"columns": ["source_id"]}}, + { + "verb": "text_embed", + "enabled": not skip_name_embedding, + "args": { + "embedding_name": "entity_name", + "column": "name", + "to": "name_embedding", + **entity_name_embed_config, + }, + }, + { + "verb": "merge", + "enabled": not skip_description_embedding, + "args": { + "strategy": "concat", + "columns": ["name", "description"], + "to": "name_description", + "delimiter": ":", + "preserveSource": True, + }, + }, + { + "verb": "text_embed", + "enabled": not skip_description_embedding, + "args": { + "embedding_name": "entity_name_description", + "column": "name_description", + "to": "description_embedding", + **entity_name_description_embed_config, + }, + }, + { + "verb": "drop", + "enabled": not skip_description_embedding, + "args": { + "columns": ["name_description"], + }, + }, + { + # ELIMINATE EMPTY DESCRIPTION EMBEDDINGS + "verb": "filter", + "enabled": not skip_description_embedding and not is_using_vector_store, + "args": { + "column": "description_embedding", + "criteria": [ + { + "type": "value", + "operator": "is not empty", + } + ], + }, + }, + ] diff --git a/graphrag/index/workflows/v1/create_final_nodes.py b/graphrag/index/workflows/v1/create_final_nodes.py new file mode 100644 index 00000000..31277e7b --- /dev/null +++ b/graphrag/index/workflows/v1/create_final_nodes.py @@ -0,0 +1,116 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing build_steps method definition.""" + +from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep + +workflow_name = "create_final_nodes" + + +def build_steps( + config: PipelineWorkflowConfig, +) -> list[PipelineWorkflowStep]: + """ + Create the base table for the document graph. + + ## Dependencies + * `workflow:create_base_entity_graph` + """ + snapshot_top_level_nodes = config.get("snapshot_top_level_nodes", False) + layout_graph_enabled = config.get("layout_graph_enabled", True) + _compute_top_level_node_positions = [ + { + "verb": "unpack_graph", + "args": {"column": "positioned_graph", "type": "nodes"}, + "input": {"source": "laid_out_entity_graph"}, + }, + { + "verb": "filter", + "args": { + "column": "level", + "criteria": [ + { + "type": "value", + "operator": "equals", + "value": config.get("level_for_node_positions", 0), + } + ], + }, + }, + { + "verb": "select", + "args": {"columns": ["id", "x", "y"]}, + }, + { + "verb": "snapshot", + "enabled": snapshot_top_level_nodes, + "args": { + "name": "top_level_nodes", + "formats": ["json"], + }, + }, + { + "id": "_compute_top_level_node_positions", + "verb": "rename", + "args": { + "columns": { + "id": "top_level_node_id", + } + }, + }, + { + "verb": "convert", + "args": { + "column": "top_level_node_id", + "to": "top_level_node_id", + "type": "string", + }, + }, + ] + layout_graph_config = config.get( + "layout_graph", + { + "strategy": { + "type": "umap" if layout_graph_enabled else "zero", + }, + }, + ) + return [ + { + "id": "laid_out_entity_graph", + "verb": "layout_graph", + "args": { + "embeddings_column": "embeddings", + "graph_column": "clustered_graph", + "to": "node_positions", + "graph_to": "positioned_graph", + **layout_graph_config, + }, + "input": {"source": "workflow:create_base_entity_graph"}, + }, + { + "verb": "unpack_graph", + "args": {"column": "positioned_graph", "type": "nodes"}, + }, + { + "id": "nodes_without_positions", + "verb": "drop", + "args": {"columns": ["x", "y"]}, + }, + *_compute_top_level_node_positions, + { + "verb": "join", + "args": { + "on": ["id", "top_level_node_id"], + }, + "input": { + "source": "nodes_without_positions", + "others": ["_compute_top_level_node_positions"], + }, + }, + { + "verb": "rename", + "args": {"columns": {"label": "title", "cluster": "community"}}, + }, + ] diff --git a/graphrag/index/workflows/v1/create_final_relationships.py b/graphrag/index/workflows/v1/create_final_relationships.py new file mode 100644 index 00000000..a58c2a45 --- /dev/null +++ b/graphrag/index/workflows/v1/create_final_relationships.py @@ -0,0 +1,94 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing build_steps method definition.""" + +from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep + +workflow_name = "create_final_relationships" + + +def build_steps( + config: PipelineWorkflowConfig, +) -> list[PipelineWorkflowStep]: + """ + Create the final relationships table. + + ## Dependencies + * `workflow:create_base_entity_graph` + """ + base_text_embed = config.get("text_embed", {}) + relationship_description_embed_config = config.get( + "relationship_description_embed", base_text_embed + ) + skip_description_embedding = config.get("skip_description_embedding", False) + + return [ + { + "verb": "unpack_graph", + "args": { + "column": "clustered_graph", + "type": "edges", + }, + "input": {"source": "workflow:create_base_entity_graph"}, + }, + { + "verb": "rename", + "args": {"columns": {"source_id": "text_unit_ids"}}, + }, + { + "verb": "filter", + "args": { + "column": "level", + "criteria": [{"type": "value", "operator": "equals", "value": 0}], + }, + }, + { + "verb": "text_embed", + "enabled": not skip_description_embedding, + "args": { + "embedding_name": "relationship_description", + "column": "description", + "to": "description_embedding", + **relationship_description_embed_config, + }, + }, + { + "id": "pruned_edges", + "verb": "drop", + "args": {"columns": ["level"]}, + }, + { + "id": "filtered_nodes", + "verb": "filter", + "args": { + "column": "level", + "criteria": [{"type": "value", "operator": "equals", "value": 0}], + }, + "input": "workflow:create_final_nodes", + }, + { + "verb": "compute_edge_combined_degree", + "args": {"to": "rank"}, + "input": { + "source": "pruned_edges", + "nodes": "filtered_nodes", + }, + }, + { + "verb": "convert", + "args": { + "column": "human_readable_id", + "type": "string", + "to": "human_readable_id", + }, + }, + { + "verb": "convert", + "args": { + "column": "text_unit_ids", + "type": "array", + "to": "text_unit_ids", + }, + }, + ] diff --git a/graphrag/index/workflows/v1/create_final_text_units.py b/graphrag/index/workflows/v1/create_final_text_units.py new file mode 100644 index 00000000..56dd0a73 --- /dev/null +++ b/graphrag/index/workflows/v1/create_final_text_units.py @@ -0,0 +1,161 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing build_steps method definition.""" + +from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep + +workflow_name = "create_final_text_units" + + +def build_steps( + config: PipelineWorkflowConfig, +) -> list[PipelineWorkflowStep]: + """ + Create the final text-units table. + + ## Dependencies + * `workflow:create_base_text_units` + * `workflow:create_final_entities` + * `workflow:create_final_communities` + """ + base_text_embed = config.get("text_embed", {}) + text_unit_text_embed_config = config.get("text_unit_text_embed", base_text_embed) + covariates_enabled = config.get("covariates_enabled", False) + skip_text_unit_embedding = config.get("skip_text_unit_embedding", False) + is_using_vector_store = ( + text_unit_text_embed_config.get("strategy", {}).get("vector_store", None) + is not None + ) + + return [ + { + "verb": "select", + "args": {"columns": ["id", "chunk", "document_ids", "n_tokens"]}, + "input": {"source": "workflow:create_base_text_units"}, + }, + { + "id": "pre_entity_join", + "verb": "rename", + "args": { + "columns": { + "chunk": "text", + }, + }, + }, + # Expand the TextUnits with EntityIDs + { + "id": "pre_relationship_join", + "verb": "join", + "args": { + "on": ["id", "id"], + "strategy": "left outer", + }, + "input": { + "source": "pre_entity_join", + "others": ["workflow:join_text_units_to_entity_ids"], + }, + }, + # Expand the TextUnits with RelationshipIDs + { + "id": "pre_covariate_join", + "verb": "join", + "args": { + "on": ["id", "id"], + "strategy": "left outer", + }, + "input": { + "source": "pre_relationship_join", + "others": ["workflow:join_text_units_to_relationship_ids"], + }, + }, + # Expand the TextUnits with CovariateIDs + { + "enabled": covariates_enabled, + "verb": "join", + "args": { + "on": ["id", "id"], + "strategy": "left outer", + }, + "input": { + "source": "pre_covariate_join", + "others": ["workflow:join_text_units_to_covariate_ids"], + }, + }, + # Mash the entities and relationships into arrays + { + "verb": "aggregate_override", + "args": { + "groupby": ["id"], # from the join above + "aggregations": [ + { + "column": "text", + "operation": "any", + "to": "text", + }, + { + "column": "n_tokens", + "operation": "any", + "to": "n_tokens", + }, + { + "column": "document_ids", + "operation": "any", + "to": "document_ids", + }, + { + "column": "entity_ids", + "operation": "any", + "to": "entity_ids", + }, + { + "column": "relationship_ids", + "operation": "any", + "to": "relationship_ids", + }, + *( + [] + if not covariates_enabled + else [ + { + "column": "covariate_ids", + "operation": "any", + "to": "covariate_ids", + } + ] + ), + ], + }, + }, + # Text-Embed after final aggregations + { + "id": "embedded_text_units", + "verb": "text_embed", + "enabled": not skip_text_unit_embedding, + "args": { + "column": config.get("column", "text"), + "to": config.get("to", "text_embedding"), + **text_unit_text_embed_config, + }, + }, + { + "verb": "select", + "args": { + # Final select to get output in the correct shape + "columns": [ + "id", + "text", + *( + [] + if (skip_text_unit_embedding or is_using_vector_store) + else ["text_embedding"] + ), + "n_tokens", + "document_ids", + "entity_ids", + "relationship_ids", + *([] if not covariates_enabled else ["covariate_ids"]), + ], + }, + }, + ] diff --git a/graphrag/index/workflows/v1/create_summarized_entities.py b/graphrag/index/workflows/v1/create_summarized_entities.py new file mode 100644 index 00000000..8f8d7f00 --- /dev/null +++ b/graphrag/index/workflows/v1/create_summarized_entities.py @@ -0,0 +1,47 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing build_steps method definition.""" + +from datashaper import AsyncType + +from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep + +workflow_name = "create_summarized_entities" + + +def build_steps( + config: PipelineWorkflowConfig, +) -> list[PipelineWorkflowStep]: + """ + Create the base table for extracted entities. + + ## Dependencies + * `workflow:create_base_text_units` + """ + summarize_descriptions_config = config.get("summarize_descriptions", {}) + graphml_snapshot_enabled = config.get("graphml_snapshot", False) or False + + return [ + { + "verb": "summarize_descriptions", + "args": { + **summarize_descriptions_config, + "column": "entity_graph", + "to": "entity_graph", + "async_mode": summarize_descriptions_config.get( + "async_mode", AsyncType.AsyncIO + ), + }, + "input": {"source": "workflow:create_base_extracted_entities"}, + }, + { + "verb": "snapshot_rows", + "enabled": graphml_snapshot_enabled, + "args": { + "base_name": "summarized_graph", + "column": "entity_graph", + "formats": [{"format": "text", "extension": "graphml"}], + }, + }, + ] diff --git a/graphrag/index/workflows/v1/join_text_units_to_covariate_ids.py b/graphrag/index/workflows/v1/join_text_units_to_covariate_ids.py new file mode 100644 index 00000000..be6bddf1 --- /dev/null +++ b/graphrag/index/workflows/v1/join_text_units_to_covariate_ids.py @@ -0,0 +1,44 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing build_steps method definition.""" + +from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep + +workflow_name = "join_text_units_to_covariate_ids" + + +def build_steps( + _config: PipelineWorkflowConfig, +) -> list[PipelineWorkflowStep]: + """ + Create the final text-units table. + + ## Dependencies + * `workflow:create_final_covariates` + """ + return [ + { + "verb": "select", + "args": {"columns": ["id", "text_unit_id"]}, + "input": {"source": "workflow:create_final_covariates"}, + }, + { + "verb": "aggregate_override", + "args": { + "groupby": ["text_unit_id"], + "aggregations": [ + { + "column": "id", + "operation": "array_agg_distinct", + "to": "covariate_ids", + }, + { + "column": "text_unit_id", + "operation": "any", + "to": "id", + }, + ], + }, + }, + ] diff --git a/graphrag/index/workflows/v1/join_text_units_to_entity_ids.py b/graphrag/index/workflows/v1/join_text_units_to_entity_ids.py new file mode 100644 index 00000000..6337502d --- /dev/null +++ b/graphrag/index/workflows/v1/join_text_units_to_entity_ids.py @@ -0,0 +1,50 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing build_steps method definition.""" + +from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep + +workflow_name = "join_text_units_to_entity_ids" + + +def build_steps( + _config: PipelineWorkflowConfig, +) -> list[PipelineWorkflowStep]: + """ + Create a join table from text unit ids to entity ids. + + ## Dependencies + * `workflow:create_final_entities` + """ + return [ + { + "verb": "select", + "args": {"columns": ["id", "text_unit_ids"]}, + "input": {"source": "workflow:create_final_entities"}, + }, + { + "verb": "unroll", + "args": { + "column": "text_unit_ids", + }, + }, + { + "verb": "aggregate_override", + "args": { + "groupby": ["text_unit_ids"], + "aggregations": [ + { + "column": "id", + "operation": "array_agg_distinct", + "to": "entity_ids", + }, + { + "column": "text_unit_ids", + "operation": "any", + "to": "id", + }, + ], + }, + }, + ] diff --git a/graphrag/index/workflows/v1/join_text_units_to_relationship_ids.py b/graphrag/index/workflows/v1/join_text_units_to_relationship_ids.py new file mode 100644 index 00000000..fe6d6463 --- /dev/null +++ b/graphrag/index/workflows/v1/join_text_units_to_relationship_ids.py @@ -0,0 +1,55 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing build_steps method definition.""" + +from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep + +workflow_name = "join_text_units_to_relationship_ids" + + +def build_steps( + _config: PipelineWorkflowConfig, +) -> list[PipelineWorkflowStep]: + """ + Create a join table from text unit ids to relationship ids. + + ## Dependencies + * `workflow:create_final_relationships + """ + return [ + { + "verb": "select", + "args": {"columns": ["id", "text_unit_ids"]}, + "input": {"source": "workflow:create_final_relationships"}, + }, + { + "verb": "unroll", + "args": { + "column": "text_unit_ids", + }, + }, + { + "verb": "aggregate_override", + "args": { + "groupby": ["text_unit_ids"], + "aggregations": [ + { + "column": "id", + "operation": "array_agg_distinct", + "to": "relationship_ids", + }, + { + "column": "text_unit_ids", + "operation": "any", + "to": "id", + }, + ], + }, + }, + { + "id": "text_unit_id_to_relationship_ids", + "verb": "select", + "args": {"columns": ["id", "relationship_ids"]}, + }, + ] diff --git a/graphrag/llm/__init__.py b/graphrag/llm/__init__.py new file mode 100644 index 00000000..609be951 --- /dev/null +++ b/graphrag/llm/__init__.py @@ -0,0 +1,91 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Datashaper OpenAI Utilities package.""" + +from .base import BaseLLM, CachingLLM, RateLimitingLLM +from .errors import RetriesExhaustedError +from .limiting import ( + CompositeLLMLimiter, + LLMLimiter, + NoopLLMLimiter, + TpmRpmLLMLimiter, + create_tpm_rpm_limiters, +) +from .mock import MockChatLLM, MockCompletionLLM +from .openai import ( + OpenAIChatLLM, + OpenAIClientTypes, + OpenAICompletionLLM, + OpenAIConfiguration, + OpenAIEmbeddingsLLM, + create_openai_chat_llm, + create_openai_client, + create_openai_completion_llm, + create_openai_embedding_llm, +) +from .types import ( + LLM, + CompletionInput, + CompletionLLM, + CompletionOutput, + EmbeddingInput, + EmbeddingLLM, + EmbeddingOutput, + ErrorHandlerFn, + IsResponseValidFn, + LLMCache, + LLMConfig, + LLMInput, + LLMInvocationFn, + LLMInvocationResult, + LLMOutput, + OnCacheActionFn, +) + +__all__ = [ + # LLM Types + "LLM", + "BaseLLM", + "CachingLLM", + "CompletionInput", + "CompletionLLM", + "CompletionOutput", + "CompositeLLMLimiter", + "EmbeddingInput", + "EmbeddingLLM", + "EmbeddingOutput", + # Callbacks + "ErrorHandlerFn", + "IsResponseValidFn", + # Cache + "LLMCache", + "LLMConfig", + # LLM I/O Types + "LLMInput", + "LLMInvocationFn", + "LLMInvocationResult", + "LLMLimiter", + "LLMOutput", + "MockChatLLM", + # Mock + "MockCompletionLLM", + "NoopLLMLimiter", + "OnCacheActionFn", + "OpenAIChatLLM", + "OpenAIClientTypes", + "OpenAICompletionLLM", + # OpenAI + "OpenAIConfiguration", + "OpenAIEmbeddingsLLM", + "RateLimitingLLM", + # Errors + "RetriesExhaustedError", + "TpmRpmLLMLimiter", + "create_openai_chat_llm", + "create_openai_client", + "create_openai_completion_llm", + "create_openai_embedding_llm", + # Limiters + "create_tpm_rpm_limiters", +] diff --git a/graphrag/llm/base/__init__.py b/graphrag/llm/base/__init__.py new file mode 100644 index 00000000..dd5ebf90 --- /dev/null +++ b/graphrag/llm/base/__init__.py @@ -0,0 +1,10 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Base LLM Implementations.""" + +from .base_llm import BaseLLM +from .caching_llm import CachingLLM +from .rate_limiting_llm import RateLimitingLLM + +__all__ = ["BaseLLM", "CachingLLM", "RateLimitingLLM"] diff --git a/graphrag/llm/base/_create_cache_key.py b/graphrag/llm/base/_create_cache_key.py new file mode 100644 index 00000000..e435ba46 --- /dev/null +++ b/graphrag/llm/base/_create_cache_key.py @@ -0,0 +1,34 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Cache key generation utils.""" + +import hashlib + + +def _llm_string(params: dict) -> str: + # New version of the cache is not including n in the params dictionary + # This avoids creating a new cache key for the same prompt + if "max_tokens" in params and "n" not in params: + params["n"] = None + return str(sorted((k, v) for k, v in params.items())) + + +def _hash(_input: str) -> str: + """Use a deterministic hashing approach.""" + return hashlib.md5(_input.encode()).hexdigest() # noqa S324 + + +def create_hash_key(operation: str, prompt: str, parameters: dict) -> str: + """Compute cache key from prompt and associated model and settings. + + Args: + prompt (str): The prompt run through the language model. + llm_string (str): The language model version and settings. + + Returns + ------- + str: The cache key. + """ + llm_string = _llm_string(parameters) + return f"{operation}-{_hash(prompt + llm_string)}" diff --git a/graphrag/llm/base/base_llm.py b/graphrag/llm/base/base_llm.py new file mode 100644 index 00000000..66f1919c --- /dev/null +++ b/graphrag/llm/base/base_llm.py @@ -0,0 +1,65 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Base LLM class definition.""" + +import traceback +from abc import ABC, abstractmethod +from typing import Generic, TypeVar + +from typing_extensions import Unpack + +from graphrag.llm.types import ( + LLM, + ErrorHandlerFn, + LLMInput, + LLMOutput, +) + +TIn = TypeVar("TIn") +TOut = TypeVar("TOut") + + +class BaseLLM(ABC, LLM[TIn, TOut], Generic[TIn, TOut]): + """LLM Implementation class definition.""" + + _on_error: ErrorHandlerFn | None + + def on_error(self, on_error: ErrorHandlerFn | None) -> None: + """Set the error handler function.""" + self._on_error = on_error + + @abstractmethod + async def _execute_llm( + self, + input: TIn, + **kwargs: Unpack[LLMInput], + ) -> TOut | None: + pass + + async def __call__( + self, + input: TIn, + **kwargs: Unpack[LLMInput], + ) -> LLMOutput[TOut]: + """Invoke the LLM.""" + is_json = kwargs.get("json") or False + if is_json: + return await self._invoke_json(input, **kwargs) + return await self._invoke(input, **kwargs) + + async def _invoke(self, input: TIn, **kwargs: Unpack[LLMInput]) -> LLMOutput[TOut]: + try: + output = await self._execute_llm(input, **kwargs) + return LLMOutput(output=output) + except Exception as e: + stack_trace = traceback.format_exc() + if self._on_error: + self._on_error(e, stack_trace, {"input": input}) + raise + + async def _invoke_json( + self, input: TIn, **kwargs: Unpack[LLMInput] + ) -> LLMOutput[TOut]: + msg = "JSON output not supported by this LLM" + raise NotImplementedError(msg) diff --git a/graphrag/llm/base/caching_llm.py b/graphrag/llm/base/caching_llm.py new file mode 100644 index 00000000..51c99638 --- /dev/null +++ b/graphrag/llm/base/caching_llm.py @@ -0,0 +1,107 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A class to interact with the cache.""" + +import json +from typing import Any, Generic, TypeVar + +from typing_extensions import Unpack + +from graphrag.llm.types import LLM, LLMCache, LLMInput, LLMOutput, OnCacheActionFn + +from ._create_cache_key import create_hash_key + +# If there's a breaking change in what we cache, we should increment this version number to invalidate existing caches +_cache_strategy_version = 2 + +TIn = TypeVar("TIn") +TOut = TypeVar("TOut") + + +def _noop_cache_fn(_k: str, _v: str | None): + pass + + +class CachingLLM(LLM[TIn, TOut], Generic[TIn, TOut]): + """A class to interact with the cache.""" + + _cache: LLMCache + _delegate: LLM[TIn, TOut] + _operation: str + _llm_paramaters: dict + _on_cache_hit: OnCacheActionFn + _on_cache_miss: OnCacheActionFn + + def __init__( + self, + delegate: LLM[TIn, TOut], + llm_parameters: dict, + operation: str, + cache: LLMCache, + ): + self._delegate = delegate + self._llm_paramaters = llm_parameters + self._cache = cache + self._operation = operation + self._on_cache_hit = _noop_cache_fn + self._on_cache_miss = _noop_cache_fn + + def on_cache_hit(self, fn: OnCacheActionFn | None) -> None: + """Set the function to call when a cache hit occurs.""" + self._on_cache_hit = fn or _noop_cache_fn + + def on_cache_miss(self, fn: OnCacheActionFn | None) -> None: + """Set the function to call when a cache miss occurs.""" + self._on_cache_miss = fn or _noop_cache_fn + + def _cache_key(self, input: TIn, name: str | None, args: dict) -> str: + json_input = json.dumps(input) + tag = ( + f"{name}-{self._operation}-v{_cache_strategy_version}" + if name is not None + else self._operation + ) + return create_hash_key(tag, json_input, args) + + async def _cache_read(self, key: str) -> Any | None: + """Read a value from the cache.""" + return await self._cache.get(key) + + async def _cache_write( + self, key: str, input: TIn, result: TOut | None, args: dict + ) -> None: + """Write a value to the cache.""" + if result: + await self._cache.set( + key, + result, + { + "input": input, + "parameters": args, + }, + ) + + async def __call__( + self, + input: TIn, + **kwargs: Unpack[LLMInput], + ) -> LLMOutput[TOut]: + """Execute the LLM.""" + # Check for an Existing cache item + name = kwargs.get("name") + llm_args = {**self._llm_paramaters, **(kwargs.get("model_parameters") or {})} + cache_key = self._cache_key(input, name, llm_args) + cached_result = await self._cache_read(cache_key) + if cached_result: + self._on_cache_hit(cache_key, name) + return LLMOutput(output=cached_result) + + # Report the Cache Miss + self._on_cache_miss(cache_key, name) + + # Compute the new result + result = await self._delegate(input, **kwargs) + # Cache the new result + await self._cache_write(cache_key, input, result.output, llm_args) + return result diff --git a/graphrag/llm/base/rate_limiting_llm.py b/graphrag/llm/base/rate_limiting_llm.py new file mode 100644 index 00000000..5e208247 --- /dev/null +++ b/graphrag/llm/base/rate_limiting_llm.py @@ -0,0 +1,208 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Rate limiting LLM implementation.""" + +import asyncio +import logging +from collections.abc import Callable +from typing import Any, Generic, TypeVar + +from tenacity import ( + AsyncRetrying, + retry_if_exception_type, + stop_after_attempt, + wait_exponential_jitter, +) +from typing_extensions import Unpack + +from graphrag.llm.errors import RetriesExhaustedError +from graphrag.llm.limiting import LLMLimiter +from graphrag.llm.types import ( + LLM, + LLMConfig, + LLMInput, + LLMInvocationFn, + LLMInvocationResult, + LLMOutput, +) + +TIn = TypeVar("TIn") +TOut = TypeVar("TOut") +TRateLimitError = TypeVar("TRateLimitError", bound=BaseException) + +_CANNOT_MEASURE_INPUT_TOKENS_MSG = "cannot measure input tokens" +_CANNOT_MEASURE_OUTPUT_TOKENS_MSG = "cannot measure output tokens" + +log = logging.getLogger(__name__) + + +class RateLimitingLLM(LLM[TIn, TOut], Generic[TIn, TOut]): + """A class to interact with the cache.""" + + _delegate: LLM[TIn, TOut] + _rate_limiter: LLMLimiter | None + _semaphore: asyncio.Semaphore | None + _count_tokens: Callable[[str], int] + _config: LLMConfig + _operation: str + _retryable_errors: list[type[Exception]] + _rate_limit_errors: list[type[Exception]] + _on_invoke: LLMInvocationFn + _extract_sleep_recommendation: Callable[[Any], float] + + def __init__( + self, + delegate: LLM[TIn, TOut], + config: LLMConfig, + operation: str, + retryable_errors: list[type[Exception]], + rate_limit_errors: list[type[Exception]], + rate_limiter: LLMLimiter | None = None, + semaphore: asyncio.Semaphore | None = None, + count_tokens: Callable[[str], int] | None = None, + get_sleep_time: Callable[[BaseException], float] | None = None, + ): + self._delegate = delegate + self._rate_limiter = rate_limiter + self._semaphore = semaphore + self._config = config + self._operation = operation + self._retryable_errors = retryable_errors + self._rate_limit_errors = rate_limit_errors + self._count_tokens = count_tokens or (lambda _s: -1) + self._extract_sleep_recommendation = get_sleep_time or (lambda _e: 0.0) + self._on_invoke = lambda _v: None + + def on_invoke(self, fn: LLMInvocationFn | None) -> None: + """Set the on_invoke function.""" + self._on_invoke = fn or (lambda _v: None) + + def count_request_tokens(self, input: TIn) -> int: + """Count the request tokens on an input request.""" + if isinstance(input, str): + return self._count_tokens(input) + if isinstance(input, list): + result = 0 + for item in input: + if isinstance(item, str): + result += self._count_tokens(item) + elif isinstance(item, dict): + result += self._count_tokens(item.get("content", "")) + else: + raise TypeError(_CANNOT_MEASURE_INPUT_TOKENS_MSG) + return result + raise TypeError(_CANNOT_MEASURE_INPUT_TOKENS_MSG) + + def count_response_tokens(self, output: TOut | None) -> int: + """Count the request tokens on an output response.""" + if output is None: + return 0 + if isinstance(output, str): + return self._count_tokens(output) + if isinstance(output, list) and all(isinstance(x, str) for x in output): + return sum(self._count_tokens(item) for item in output) + if isinstance(output, list): + # Embedding response, don't count it + return 0 + raise TypeError(_CANNOT_MEASURE_OUTPUT_TOKENS_MSG) + + async def __call__( + self, + input: TIn, + **kwargs: Unpack[LLMInput], + ) -> LLMOutput[TOut]: + """Execute the LLM with semaphore & rate limiting.""" + name = kwargs.get("name", "Process") + attempt_number = 0 + call_times: list[float] = [] + input_tokens = self.count_request_tokens(input) + max_retries = self._config.max_retries or 10 + max_retry_wait = self._config.max_retry_wait or 10 + follow_recommendation = self._config.sleep_on_rate_limit_recommendation + retryer = AsyncRetrying( + stop=stop_after_attempt(max_retries), + wait=wait_exponential_jitter(max=max_retry_wait), + reraise=True, + retry=retry_if_exception_type(tuple(self._retryable_errors)), + ) + + async def sleep_for(time: float | None) -> None: + log.warning( + "%s failed to invoke LLM %s/%s attempts. Cause: rate limit exceeded, will retry. Recommended sleep for %d seconds. Follow recommendation? %s", + name, + attempt_number, + max_retries, + time, + follow_recommendation, + ) + if follow_recommendation and time: + await asyncio.sleep(time) + raise + + async def do_attempt() -> LLMOutput[TOut]: + nonlocal call_times + call_start = asyncio.get_event_loop().time() + try: + return await self._delegate(input, **kwargs) + except BaseException as e: + if isinstance(e, tuple(self._rate_limit_errors)): + sleep_time = self._extract_sleep_recommendation(e) + await sleep_for(sleep_time) + raise + finally: + call_end = asyncio.get_event_loop().time() + call_times.append(call_end - call_start) + + async def execute_with_retry() -> tuple[LLMOutput[TOut], float]: + nonlocal attempt_number + async for attempt in retryer: + with attempt: + if self._rate_limiter and input_tokens > 0: + await self._rate_limiter.acquire(input_tokens) + start = asyncio.get_event_loop().time() + attempt_number += 1 + return await do_attempt(), start + + log.error("Retries exhausted for %s", name) + raise RetriesExhaustedError(name, max_retries) + + result: LLMOutput[TOut] + start = 0.0 + + if self._semaphore is None: + result, start = await execute_with_retry() + else: + async with self._semaphore: + result, start = await execute_with_retry() + + end = asyncio.get_event_loop().time() + output_tokens = self.count_response_tokens(result.output) + if self._rate_limiter and output_tokens > 0: + await self._rate_limiter.acquire(output_tokens) + + invocation_result = LLMInvocationResult( + result=result, + name=name, + num_retries=attempt_number - 1, + total_time=end - start, + call_times=call_times, + input_tokens=input_tokens, + output_tokens=output_tokens, + ) + self._handle_invoke_result(invocation_result) + return result + + def _handle_invoke_result( + self, result: LLMInvocationResult[LLMOutput[TOut]] + ) -> None: + log.info( + 'perf - llm.%s "%s" with %s retries took %s. input_tokens=%d, output_tokens=%d', + self._operation, + result.name, + result.num_retries, + result.total_time, + result.input_tokens, + result.output_tokens, + ) + self._on_invoke(result) diff --git a/graphrag/llm/errors.py b/graphrag/llm/errors.py new file mode 100644 index 00000000..01136359 --- /dev/null +++ b/graphrag/llm/errors.py @@ -0,0 +1,12 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Error definitions for the OpenAI DataShaper package.""" + + +class RetriesExhaustedError(RuntimeError): + """Retries exhausted error.""" + + def __init__(self, name: str, num_retries: int) -> None: + """Init method definition.""" + super().__init__(f"Operation '{name}' failed - {num_retries} retries exhausted") diff --git a/graphrag/llm/limiting/__init__.py b/graphrag/llm/limiting/__init__.py new file mode 100644 index 00000000..4f7933d1 --- /dev/null +++ b/graphrag/llm/limiting/__init__.py @@ -0,0 +1,18 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""LLM limiters module.""" + +from .composite_limiter import CompositeLLMLimiter +from .create_limiters import create_tpm_rpm_limiters +from .llm_limiter import LLMLimiter +from .noop_llm_limiter import NoopLLMLimiter +from .tpm_rpm_limiter import TpmRpmLLMLimiter + +__all__ = [ + "CompositeLLMLimiter", + "LLMLimiter", + "NoopLLMLimiter", + "TpmRpmLLMLimiter", + "create_tpm_rpm_limiters", +] diff --git a/graphrag/llm/limiting/composite_limiter.py b/graphrag/llm/limiting/composite_limiter.py new file mode 100644 index 00000000..7bcf9195 --- /dev/null +++ b/graphrag/llm/limiting/composite_limiter.py @@ -0,0 +1,26 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A module containing Composite Limiter class definition.""" + +from .llm_limiter import LLMLimiter + + +class CompositeLLMLimiter(LLMLimiter): + """Composite Limiter class definition.""" + + _limiters: list[LLMLimiter] + + def __init__(self, limiters: list[LLMLimiter]): + """Init method definition.""" + self._limiters = limiters + + @property + def needs_token_count(self) -> bool: + """Whether this limiter needs the token count to be passed in.""" + return any(limiter.needs_token_count for limiter in self._limiters) + + async def acquire(self, num_tokens: int = 1) -> None: + """Call method definition.""" + for limiter in self._limiters: + await limiter.acquire(num_tokens) diff --git a/graphrag/llm/limiting/create_limiters.py b/graphrag/llm/limiting/create_limiters.py new file mode 100644 index 00000000..92df11c1 --- /dev/null +++ b/graphrag/llm/limiting/create_limiters.py @@ -0,0 +1,29 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Create limiters for OpenAI API requests.""" + +import logging + +from aiolimiter import AsyncLimiter + +from graphrag.llm.types import LLMConfig + +from .llm_limiter import LLMLimiter +from .tpm_rpm_limiter import TpmRpmLLMLimiter + +log = logging.getLogger(__name__) + +"""The global TPM limiters.""" + + +def create_tpm_rpm_limiters( + configuration: LLMConfig, +) -> LLMLimiter: + """Get the limiters for a given model name.""" + tpm = configuration.tokens_per_minute + rpm = configuration.requests_per_minute + return TpmRpmLLMLimiter( + None if tpm == 0 else AsyncLimiter(tpm or 50_000), + None if rpm == 0 else AsyncLimiter(rpm or 10_000), + ) diff --git a/graphrag/llm/limiting/llm_limiter.py b/graphrag/llm/limiting/llm_limiter.py new file mode 100644 index 00000000..1264a84b --- /dev/null +++ b/graphrag/llm/limiting/llm_limiter.py @@ -0,0 +1,19 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Limiting types.""" + +from abc import ABC, abstractmethod + + +class LLMLimiter(ABC): + """LLM Limiter Interface.""" + + @property + @abstractmethod + def needs_token_count(self) -> bool: + """Whether this limiter needs the token count to be passed in.""" + + @abstractmethod + async def acquire(self, num_tokens: int = 1) -> None: + """Acquire a pass through the limiter.""" diff --git a/graphrag/llm/limiting/noop_llm_limiter.py b/graphrag/llm/limiting/noop_llm_limiter.py new file mode 100644 index 00000000..51470552 --- /dev/null +++ b/graphrag/llm/limiting/noop_llm_limiter.py @@ -0,0 +1,19 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""TPM RPM Limiter module.""" + +from .llm_limiter import LLMLimiter + + +class NoopLLMLimiter(LLMLimiter): + """TPM RPM Limiter class definition.""" + + @property + def needs_token_count(self) -> bool: + """Whether this limiter needs the token count to be passed in.""" + return False + + async def acquire(self, num_tokens: int = 1) -> None: + """Call method definition.""" + # do nothing diff --git a/graphrag/llm/limiting/tpm_rpm_limiter.py b/graphrag/llm/limiting/tpm_rpm_limiter.py new file mode 100644 index 00000000..cb6d84e3 --- /dev/null +++ b/graphrag/llm/limiting/tpm_rpm_limiter.py @@ -0,0 +1,34 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""TPM RPM Limiter module.""" + +from aiolimiter import AsyncLimiter + +from .llm_limiter import LLMLimiter + + +class TpmRpmLLMLimiter(LLMLimiter): + """TPM RPM Limiter class definition.""" + + _tpm_limiter: AsyncLimiter | None + _rpm_limiter: AsyncLimiter | None + + def __init__( + self, tpm_limiter: AsyncLimiter | None, rpm_limiter: AsyncLimiter | None + ): + """Init method definition.""" + self._tpm_limiter = tpm_limiter + self._rpm_limiter = rpm_limiter + + @property + def needs_token_count(self) -> bool: + """Whether this limiter needs the token count to be passed in.""" + return self._tpm_limiter is not None + + async def acquire(self, num_tokens: int = 1) -> None: + """Call method definition.""" + if self._tpm_limiter is not None: + await self._tpm_limiter.acquire(num_tokens) + if self._rpm_limiter is not None: + await self._rpm_limiter.acquire() diff --git a/graphrag/llm/mock/__init__.py b/graphrag/llm/mock/__init__.py new file mode 100644 index 00000000..cd1f000d --- /dev/null +++ b/graphrag/llm/mock/__init__.py @@ -0,0 +1,12 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Mock LLM Implementations.""" + +from .mock_chat_llm import MockChatLLM +from .mock_completion_llm import MockCompletionLLM + +__all__ = [ + "MockChatLLM", + "MockCompletionLLM", +] diff --git a/graphrag/llm/mock/mock_chat_llm.py b/graphrag/llm/mock/mock_chat_llm.py new file mode 100644 index 00000000..b8a6650b --- /dev/null +++ b/graphrag/llm/mock/mock_chat_llm.py @@ -0,0 +1,52 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A mock ChatLLM that returns the given responses.""" + +from typing_extensions import Unpack + +from graphrag.llm.base import BaseLLM +from graphrag.llm.types import ( + CompletionInput, + CompletionOutput, + LLMInput, + LLMOutput, +) + + +class MockChatLLM( + BaseLLM[ + CompletionInput, + CompletionOutput, + ] +): + """A mock LLM that returns the given responses.""" + + responses: list[str] + i: int = 0 + + def __init__(self, responses: list[str]): + self.i = 0 + self.responses = responses + + def _create_output( + self, + output: CompletionOutput | None, + **kwargs: Unpack[LLMInput], + ) -> LLMOutput[CompletionOutput]: + history = kwargs.get("history") or [] + return LLMOutput[CompletionOutput]( + output=output, history=[*history, {"content": output}] + ) + + async def _execute_llm( + self, + input: CompletionInput, + **kwargs: Unpack[LLMInput], + ) -> CompletionOutput: + if self.i >= len(self.responses): + msg = f"No more responses, requested {self.i} but only have {len(self.responses)}" + raise ValueError(msg) + response = self.responses[self.i] + self.i += 1 + return response diff --git a/graphrag/llm/mock/mock_completion_llm.py b/graphrag/llm/mock/mock_completion_llm.py new file mode 100644 index 00000000..8cb8e950 --- /dev/null +++ b/graphrag/llm/mock/mock_completion_llm.py @@ -0,0 +1,37 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""LLM Static Response method definition.""" + +import logging + +from typing_extensions import Unpack + +from graphrag.llm.base import BaseLLM +from graphrag.llm.types import ( + CompletionInput, + CompletionOutput, + LLMInput, +) + +log = logging.getLogger(__name__) + + +class MockCompletionLLM( + BaseLLM[ + CompletionInput, + CompletionOutput, + ] +): + """Mock Completion LLM for testing purposes.""" + + def __init__(self, responses: list[str]): + self.responses = responses + self._on_error = None + + async def _execute_llm( + self, + input: CompletionInput, + **kwargs: Unpack[LLMInput], + ) -> CompletionOutput: + return self.responses[0] diff --git a/graphrag/llm/openai/__init__.py b/graphrag/llm/openai/__init__.py new file mode 100644 index 00000000..9478e146 --- /dev/null +++ b/graphrag/llm/openai/__init__.py @@ -0,0 +1,28 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""OpenAI LLM implementations.""" + +from .create_openai_client import create_openai_client +from .factories import ( + create_openai_chat_llm, + create_openai_completion_llm, + create_openai_embedding_llm, +) +from .openai_chat_llm import OpenAIChatLLM +from .openai_completion_llm import OpenAICompletionLLM +from .openai_configuration import OpenAIConfiguration +from .openai_embeddings_llm import OpenAIEmbeddingsLLM +from .types import OpenAIClientTypes + +__all__ = [ + "OpenAIChatLLM", + "OpenAIClientTypes", + "OpenAICompletionLLM", + "OpenAIConfiguration", + "OpenAIEmbeddingsLLM", + "create_openai_chat_llm", + "create_openai_client", + "create_openai_completion_llm", + "create_openai_embedding_llm", +] diff --git a/graphrag/llm/openai/_json.py b/graphrag/llm/openai/_json.py new file mode 100644 index 00000000..22184cc2 --- /dev/null +++ b/graphrag/llm/openai/_json.py @@ -0,0 +1,25 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""JSON cleaning and formatting utilities.""" + + +def clean_up_json(json_str: str) -> str: + """Clean up json string.""" + json_str = ( + json_str.replace("\\n", "") + .replace("\n", "") + .replace("\r", "") + .replace('"[{', "[{") + .replace('}]"', "}]") + .replace("\\", "") + .strip() + ) + + # Remove JSON Markdown Frame + if json_str.startswith("```json"): + json_str = json_str[len("```json") :] + if json_str.endswith("```"): + json_str = json_str[: len(json_str) - len("```")] + + return json_str diff --git a/graphrag/llm/openai/_prompts.py b/graphrag/llm/openai/_prompts.py new file mode 100644 index 00000000..37d9f0fc --- /dev/null +++ b/graphrag/llm/openai/_prompts.py @@ -0,0 +1,39 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Utility prompts for low-level LLM invocations.""" + +JSON_CHECK_PROMPT = """ +You are going to be given a malformed JSON string that threw an error during json.loads. +It probably contains unnecessary escape sequences, or it is missing a comma or colon somewhere. +Your task is to fix this string and return a well-formed JSON string containing a single object. +Eliminate any unnecessary escape sequences. +Only return valid JSON, parseable with json.loads, without commentary. + +# Examples +----------- +Text: {{ \\"title\\": \\"abc\\", \\"summary\\": \\"def\\" }} +Output: {{"title": "abc", "summary": "def"}} +----------- +Text: {{"title": "abc", "summary": "def" +Output: {{"title": "abc", "summary": "def"}} +----------- +Text: {{"title': "abc", 'summary": "def" +Output: {{"title": "abc", "summary": "def"}} +----------- +Text: "{{"title": "abc", "summary": "def"}}" +Output: {{"title": "abc", "summary": "def"}} +----------- +Text: [{{"title": "abc", "summary": "def"}}] +Output: [{{"title": "abc", "summary": "def"}}] +----------- +Text: [{{"title": "abc", "summary": "def"}}, {{ \\"title\\": \\"abc\\", \\"summary\\": \\"def\\" }}] +Output: [{{"title": "abc", "summary": "def"}}, {{"title": "abc", "summary": "def"}}] +----------- +Text: ```json\n[{{"title": "abc", "summary": "def"}}, {{ \\"title\\": \\"abc\\", \\"summary\\": \\"def\\" }}]``` +Output: [{{"title": "abc", "summary": "def"}}, {{"title": "abc", "summary": "def"}}] + + +# Real Data +Text: {input_text} +Output:""" diff --git a/graphrag/llm/openai/create_openai_client.py b/graphrag/llm/openai/create_openai_client.py new file mode 100644 index 00000000..40d7d649 --- /dev/null +++ b/graphrag/llm/openai/create_openai_client.py @@ -0,0 +1,65 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Create OpenAI client instance.""" + +import logging +from functools import cache + +from azure.identity import DefaultAzureCredential, get_bearer_token_provider +from openai import AsyncAzureOpenAI, AsyncOpenAI + +from .openai_configuration import OpenAIConfiguration +from .types import OpenAIClientTypes + +log = logging.getLogger(__name__) + +API_BASE_REQUIRED_FOR_AZURE = "api_base is required for Azure OpenAI client" + + +@cache +def create_openai_client( + configuration: OpenAIConfiguration, azure: bool +) -> OpenAIClientTypes: + """Create a new OpenAI client instance.""" + if azure: + api_base = configuration.api_base + if api_base is None: + raise ValueError(API_BASE_REQUIRED_FOR_AZURE) + + log.info( + "Creating Azure OpenAI client api_base=%s, deployment_name=%s", + api_base, + configuration.deployment_name, + ) + if configuration.cognitive_services_endpoint is None: + cognitive_services_endpoint = "https://cognitiveservices.azure.com/.default" + else: + cognitive_services_endpoint = configuration.cognitive_services_endpoint + + return AsyncAzureOpenAI( + api_key=configuration.api_key if configuration.api_key else None, + azure_ad_token_provider=get_bearer_token_provider( + DefaultAzureCredential(), cognitive_services_endpoint + ) + if not configuration.api_key + else None, + organization=configuration.organization, + # Azure-Specifics + api_version=configuration.api_version, + azure_endpoint=api_base, + azure_deployment=configuration.deployment_name, + # Timeout/Retry Configuration - Use Tenacity for Retries, so disable them here + timeout=configuration.request_timeout or 180.0, + max_retries=0, + ) + + log.info("Creating OpenAI client base_url=%s", configuration.api_base) + return AsyncOpenAI( + api_key=configuration.api_key, + base_url=configuration.api_base, + organization=configuration.organization, + # Timeout/Retry Configuration - Use Tenacity for Retries, so disable them here + timeout=configuration.request_timeout or 180.0, + max_retries=0, + ) diff --git a/graphrag/llm/openai/factories.py b/graphrag/llm/openai/factories.py new file mode 100644 index 00000000..e595e2e5 --- /dev/null +++ b/graphrag/llm/openai/factories.py @@ -0,0 +1,140 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Factory functions for creating OpenAI LLMs.""" + +import asyncio + +from graphrag.llm.base import CachingLLM, RateLimitingLLM +from graphrag.llm.limiting import LLMLimiter +from graphrag.llm.types import ( + LLM, + CompletionLLM, + EmbeddingLLM, + ErrorHandlerFn, + LLMCache, + LLMInvocationFn, + OnCacheActionFn, +) + +from .json_parsing_llm import JsonParsingLLM +from .openai_chat_llm import OpenAIChatLLM +from .openai_completion_llm import OpenAICompletionLLM +from .openai_configuration import OpenAIConfiguration +from .openai_embeddings_llm import OpenAIEmbeddingsLLM +from .openai_history_tracking_llm import OpenAIHistoryTrackingLLM +from .openai_token_replacing_llm import OpenAITokenReplacingLLM +from .types import OpenAIClientTypes +from .utils import ( + RATE_LIMIT_ERRORS, + RETRYABLE_ERRORS, + get_completion_cache_args, + get_sleep_time_from_error, + get_token_counter, +) + + +def create_openai_chat_llm( + client: OpenAIClientTypes, + config: OpenAIConfiguration, + cache: LLMCache | None = None, + limiter: LLMLimiter | None = None, + semaphore: asyncio.Semaphore | None = None, + on_invoke: LLMInvocationFn | None = None, + on_error: ErrorHandlerFn | None = None, + on_cache_hit: OnCacheActionFn | None = None, + on_cache_miss: OnCacheActionFn | None = None, +) -> CompletionLLM: + """Create an OpenAI chat LLM.""" + operation = "chat" + result = OpenAIChatLLM(client, config) + result.on_error(on_error) + if limiter is not None or semaphore is not None: + result = _rate_limited(result, config, operation, limiter, semaphore, on_invoke) + if cache is not None: + result = _cached(result, config, operation, cache, on_cache_hit, on_cache_miss) + result = OpenAIHistoryTrackingLLM(result) + result = OpenAITokenReplacingLLM(result) + return JsonParsingLLM(result) + + +def create_openai_completion_llm( + client: OpenAIClientTypes, + config: OpenAIConfiguration, + cache: LLMCache | None = None, + limiter: LLMLimiter | None = None, + semaphore: asyncio.Semaphore | None = None, + on_invoke: LLMInvocationFn | None = None, + on_error: ErrorHandlerFn | None = None, + on_cache_hit: OnCacheActionFn | None = None, + on_cache_miss: OnCacheActionFn | None = None, +) -> CompletionLLM: + """Create an OpenAI completion LLM.""" + operation = "completion" + result = OpenAICompletionLLM(client, config) + result.on_error(on_error) + if limiter is not None or semaphore is not None: + result = _rate_limited(result, config, operation, limiter, semaphore, on_invoke) + if cache is not None: + result = _cached(result, config, operation, cache, on_cache_hit, on_cache_miss) + return OpenAITokenReplacingLLM(result) + + +def create_openai_embedding_llm( + client: OpenAIClientTypes, + config: OpenAIConfiguration, + cache: LLMCache | None = None, + limiter: LLMLimiter | None = None, + semaphore: asyncio.Semaphore | None = None, + on_invoke: LLMInvocationFn | None = None, + on_error: ErrorHandlerFn | None = None, + on_cache_hit: OnCacheActionFn | None = None, + on_cache_miss: OnCacheActionFn | None = None, +) -> EmbeddingLLM: + """Create an OpenAI embeddings LLM.""" + operation = "embedding" + result = OpenAIEmbeddingsLLM(client, config) + result.on_error(on_error) + if limiter is not None or semaphore is not None: + result = _rate_limited(result, config, operation, limiter, semaphore, on_invoke) + if cache is not None: + result = _cached(result, config, operation, cache, on_cache_hit, on_cache_miss) + return result + + +def _rate_limited( + delegate: LLM, + config: OpenAIConfiguration, + operation: str, + limiter: LLMLimiter | None, + semaphore: asyncio.Semaphore | None, + on_invoke: LLMInvocationFn | None, +): + result = RateLimitingLLM( + delegate, + config, + operation, + RETRYABLE_ERRORS, + RATE_LIMIT_ERRORS, + limiter, + semaphore, + get_token_counter(config), + get_sleep_time_from_error, + ) + result.on_invoke(on_invoke) + return result + + +def _cached( + delegate: LLM, + config: OpenAIConfiguration, + operation: str, + cache: LLMCache, + on_cache_hit: OnCacheActionFn | None, + on_cache_miss: OnCacheActionFn | None, +): + cache_args = get_completion_cache_args(config) + result = CachingLLM(delegate, cache_args, operation, cache) + result.on_cache_hit(on_cache_hit) + result.on_cache_miss(on_cache_miss) + return result diff --git a/graphrag/llm/openai/json_parsing_llm.py b/graphrag/llm/openai/json_parsing_llm.py new file mode 100644 index 00000000..843ca0ec --- /dev/null +++ b/graphrag/llm/openai/json_parsing_llm.py @@ -0,0 +1,37 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""An LLM that unpacks cached JSON responses.""" + +from typing_extensions import Unpack + +from graphrag.llm.types import ( + LLM, + CompletionInput, + CompletionLLM, + CompletionOutput, + LLMInput, + LLMOutput, +) + +from .utils import try_parse_json_object + + +class JsonParsingLLM(LLM[CompletionInput, CompletionOutput]): + """An OpenAI History-Tracking LLM.""" + + _delegate: CompletionLLM + + def __init__(self, delegate: CompletionLLM): + self._delegate = delegate + + async def __call__( + self, + input: CompletionInput, + **kwargs: Unpack[LLMInput], + ) -> LLMOutput[CompletionOutput]: + """Call the LLM with the input and kwargs.""" + result = await self._delegate(input, **kwargs) + if kwargs.get("json") and result.json is None and result.output is not None: + result.json = try_parse_json_object(result.output) + return result diff --git a/graphrag/llm/openai/openai_chat_llm.py b/graphrag/llm/openai/openai_chat_llm.py new file mode 100644 index 00000000..e4add8a2 --- /dev/null +++ b/graphrag/llm/openai/openai_chat_llm.py @@ -0,0 +1,152 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Chat-based language model.""" + +import logging +from json import JSONDecodeError + +from typing_extensions import Unpack + +from graphrag.llm.base import BaseLLM +from graphrag.llm.types import ( + CompletionInput, + CompletionOutput, + LLMInput, + LLMOutput, +) + +from ._json import clean_up_json +from ._prompts import JSON_CHECK_PROMPT +from .openai_configuration import OpenAIConfiguration +from .types import OpenAIClientTypes +from .utils import ( + get_completion_llm_args, + try_parse_json_object, +) + +log = logging.getLogger(__name__) + +_MAX_GENERATION_RETRIES = 3 +FAILED_TO_CREATE_JSON_ERROR = "Failed to generate valid JSON output" + + +class OpenAIChatLLM(BaseLLM[CompletionInput, CompletionOutput]): + """A Chat-based LLM.""" + + _client: OpenAIClientTypes + _configuration: OpenAIConfiguration + + def __init__(self, client: OpenAIClientTypes, configuration: OpenAIConfiguration): + self.client = client + self.configuration = configuration + + async def _execute_llm( + self, input: CompletionInput, **kwargs: Unpack[LLMInput] + ) -> CompletionOutput | None: + args = get_completion_llm_args( + kwargs.get("model_parameters"), self.configuration + ) + history = kwargs.get("history") or [] + messages = [ + *history, + {"role": "user", "content": input}, + ] + completion = await self.client.chat.completions.create( + messages=messages, **args + ) + return completion.choices[0].message.content + + async def _invoke_json( + self, + input: CompletionInput, + **kwargs: Unpack[LLMInput], + ) -> LLMOutput[CompletionOutput]: + """Generate JSON output.""" + name = kwargs.get("name") or "unknown" + is_response_valid = kwargs.get("is_response_valid") or (lambda _x: True) + + async def generate( + attempt: int | None = None, + ) -> LLMOutput[CompletionOutput]: + call_name = name if attempt is None else f"{name}@{attempt}" + return ( + await self._native_json(input, **{**kwargs, "name": call_name}) + if self.configuration.model_supports_json + else await self._manual_json(input, **{**kwargs, "name": call_name}) + ) + + def is_valid(x: dict | None) -> bool: + return x is not None and is_response_valid(x) + + result = await generate() + retry = 0 + while not is_valid(result.json) and retry < _MAX_GENERATION_RETRIES: + result = await generate(retry) + retry += 1 + + if is_valid(result.json): + return result + raise RuntimeError(FAILED_TO_CREATE_JSON_ERROR) + + async def _native_json( + self, input: CompletionInput, **kwargs: Unpack[LLMInput] + ) -> LLMOutput[CompletionOutput]: + """Generate JSON output using a model's native JSON-output support.""" + result = await self._invoke( + input, + **{ + **kwargs, + "model_parameters": { + **(kwargs.get("model_parameters") or {}), + "response_format": {"type": "json_object"}, + }, + }, + ) + + raw_output = result.output or "" + json_output = try_parse_json_object(raw_output) + + return LLMOutput[CompletionOutput]( + output=raw_output, + json=json_output, + history=result.history, + ) + + async def _manual_json( + self, input: CompletionInput, **kwargs: Unpack[LLMInput] + ) -> LLMOutput[CompletionOutput]: + # Otherwise, clean up the output and try to parse it as json + result = await self._invoke(input, **kwargs) + history = result.history or [] + output = clean_up_json(result.output or "") + try: + json_output = try_parse_json_object(output) + return LLMOutput[CompletionOutput]( + output=output, json=json_output, history=history + ) + except (TypeError, JSONDecodeError): + log.warning("error parsing llm json, retrying") + # If cleaned up json is unparsable, use the LLM to reformat it (may throw) + result = await self._try_clean_json_with_llm(output, **kwargs) + output = clean_up_json(result.output or "") + json = try_parse_json_object(output) + + return LLMOutput[CompletionOutput]( + output=output, + json=json, + history=history, + ) + + async def _try_clean_json_with_llm( + self, output: str, **kwargs: Unpack[LLMInput] + ) -> LLMOutput[CompletionOutput]: + name = kwargs.get("name") or "unknown" + return await self._invoke( + JSON_CHECK_PROMPT, + **{ + **kwargs, + "variables": {"input_text": output}, + "name": f"fix_json@{name}", + }, + ) diff --git a/graphrag/llm/openai/openai_completion_llm.py b/graphrag/llm/openai/openai_completion_llm.py new file mode 100644 index 00000000..bdbac6c1 --- /dev/null +++ b/graphrag/llm/openai/openai_completion_llm.py @@ -0,0 +1,43 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A text-completion based LLM.""" + +import logging + +from typing_extensions import Unpack + +from graphrag.llm.base import BaseLLM +from graphrag.llm.types import ( + CompletionInput, + CompletionOutput, + LLMInput, +) + +from .openai_configuration import OpenAIConfiguration +from .types import OpenAIClientTypes +from .utils import get_completion_llm_args + +log = logging.getLogger(__name__) + + +class OpenAICompletionLLM(BaseLLM[CompletionInput, CompletionOutput]): + """A text-completion based LLM.""" + + _client: OpenAIClientTypes + _configuration: OpenAIConfiguration + + def __init__(self, client: OpenAIClientTypes, configuration: OpenAIConfiguration): + self.client = client + self.configuration = configuration + + async def _execute_llm( + self, + input: CompletionInput, + **kwargs: Unpack[LLMInput], + ) -> CompletionOutput | None: + args = get_completion_llm_args( + kwargs.get("model_parameters"), self.configuration + ) + completion = self.client.completions.create(prompt=input, **args) + return completion.choices[0].text diff --git a/graphrag/llm/openai/openai_configuration.py b/graphrag/llm/openai/openai_configuration.py new file mode 100644 index 00000000..1bcd5694 --- /dev/null +++ b/graphrag/llm/openai/openai_configuration.py @@ -0,0 +1,288 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""OpenAI Configuration class definition.""" + +import json +from collections.abc import Hashable +from typing import Any, cast + +from graphrag.llm.types import LLMConfig + + +def _non_blank(value: str | None) -> str | None: + if value is None: + return None + stripped = value.strip() + return None if stripped == "" else value + + +class OpenAIConfiguration(Hashable, LLMConfig): + """OpenAI Configuration class definition.""" + + # Core Configuration + _api_key: str + _model: str + + _api_base: str | None + _api_version: str | None + _cognitive_services_endpoint: str | None + _deployment_name: str | None + _organization: str | None + _proxy: str | None + + # Operation Configuration + _n: int | None + _temperature: float | None + _frequency_penalty: float | None + _presence_penalty: float | None + _top_p: float | None + _max_tokens: int | None + _response_format: str | None + _logit_bias: dict[str, float] | None + _stop: list[str] | None + + # Retry Logic + _max_retries: int | None + _max_retry_wait: float | None + _request_timeout: float | None + + # The raw configuration object + _raw_config: dict + + # Feature Flags + _model_supports_json: bool | None + + # Custom Configuration + _tokens_per_minute: int | None + _requests_per_minute: int | None + _concurrent_requests: int | None + _encoding_model: str | None + _sleep_on_rate_limit_recommendation: bool | None + + def __init__( + self, + config: dict, + ): + """Init method definition.""" + + def lookup_required(key: str) -> str: + return cast(str, config.get(key)) + + def lookup_str(key: str) -> str | None: + return cast(str | None, config.get(key)) + + def lookup_int(key: str) -> int | None: + result = config.get(key) + if result is None: + return None + return int(cast(int, result)) + + def lookup_float(key: str) -> float | None: + result = config.get(key) + if result is None: + return None + return float(cast(float, result)) + + def lookup_dict(key: str) -> dict | None: + return cast(dict | None, config.get(key)) + + def lookup_list(key: str) -> list | None: + return cast(list | None, config.get(key)) + + def lookup_bool(key: str) -> bool | None: + value = config.get(key) + if isinstance(value, str): + return value.upper() == "TRUE" + if isinstance(value, int): + return value > 0 + return cast(bool | None, config.get(key)) + + self._api_key = lookup_required("api_key") + self._model = lookup_required("model") + self._deployment_name = lookup_str("deployment_name") + self._api_base = lookup_str("api_base") + self._api_version = lookup_str("api_version") + self._cognitive_services_endpoint = lookup_str("cognitive_services_endpoint") + self._organization = lookup_str("organization") + self._proxy = lookup_str("proxy") + self._n = lookup_int("n") + self._temperature = lookup_float("temperature") + self._frequency_penalty = lookup_float("frequency_penalty") + self._presence_penalty = lookup_float("presence_penalty") + self._top_p = lookup_float("top_p") + self._max_tokens = lookup_int("max_tokens") + self._response_format = lookup_str("response_format") + self._logit_bias = lookup_dict("logit_bias") + self._stop = lookup_list("stop") + self._max_retries = lookup_int("max_retries") + self._request_timeout = lookup_float("request_timeout") + self._model_supports_json = lookup_bool("model_supports_json") + self._tokens_per_minute = lookup_int("tokens_per_minute") + self._requests_per_minute = lookup_int("requests_per_minute") + self._concurrent_requests = lookup_int("concurrent_requests") + self._encoding_model = lookup_str("encoding_model") + self._max_retry_wait = lookup_float("max_retry_wait") + self._sleep_on_rate_limit_recommendation = lookup_bool( + "sleep_on_rate_limit_recommendation" + ) + self._raw_config = config + + @property + def api_key(self) -> str: + """API key property definition.""" + return self._api_key + + @property + def model(self) -> str: + """Model property definition.""" + return self._model + + @property + def deployment_name(self) -> str | None: + """Deployment name property definition.""" + return _non_blank(self._deployment_name) + + @property + def api_base(self) -> str | None: + """API base property definition.""" + result = _non_blank(self._api_base) + # Remove trailing slash + return result[:-1] if result and result.endswith("/") else result + + @property + def api_version(self) -> str | None: + """API version property definition.""" + return _non_blank(self._api_version) + + @property + def cognitive_services_endpoint(self) -> str | None: + """API version property definition.""" + return _non_blank(self._cognitive_services_endpoint) + + @property + def organization(self) -> str | None: + """Organization property definition.""" + return _non_blank(self._organization) + + @property + def proxy(self) -> str | None: + """Proxy property definition.""" + return _non_blank(self._proxy) + + @property + def n(self) -> int | None: + """N property definition.""" + return self._n + + @property + def temperature(self) -> float | None: + """Temperature property definition.""" + return self._temperature + + @property + def frequency_penalty(self) -> float | None: + """Frequency penalty property definition.""" + return self._frequency_penalty + + @property + def presence_penalty(self) -> float | None: + """Presence penalty property definition.""" + return self._presence_penalty + + @property + def top_p(self) -> float | None: + """Top p property definition.""" + return self._top_p + + @property + def max_tokens(self) -> int | None: + """Max tokens property definition.""" + return self._max_tokens + + @property + def response_format(self) -> str | None: + """Response format property definition.""" + return _non_blank(self._response_format) + + @property + def logit_bias(self) -> dict[str, float] | None: + """Logit bias property definition.""" + return self._logit_bias + + @property + def stop(self) -> list[str] | None: + """Stop property definition.""" + return self._stop + + @property + def max_retries(self) -> int | None: + """Max retries property definition.""" + return self._max_retries + + @property + def max_retry_wait(self) -> float | None: + """Max retry wait property definition.""" + return self._max_retry_wait + + @property + def request_timeout(self) -> float | None: + """Request timeout property definition.""" + return self._request_timeout + + @property + def model_supports_json(self) -> bool | None: + """Model supports json property definition.""" + return self._model_supports_json + + @property + def tokens_per_minute(self) -> int | None: + """Tokens per minute property definition.""" + return self._tokens_per_minute + + @property + def requests_per_minute(self) -> int | None: + """Requests per minute property definition.""" + return self._requests_per_minute + + @property + def concurrent_requests(self) -> int | None: + """Concurrent requests property definition.""" + return self._concurrent_requests + + @property + def encoding_model(self) -> str | None: + """Encoding model property definition.""" + return _non_blank(self._encoding_model) + + @property + def sleep_on_rate_limit_recommendation(self) -> bool | None: + """Whether to sleep for seconds when recommended by 429 errors (azure-specific).""" + return self._sleep_on_rate_limit_recommendation + + @property + def raw_config(self) -> dict: + """Raw config method definition.""" + return self._raw_config + + def lookup(self, name: str, default_value: Any = None) -> Any: + """Lookup method definition.""" + return self._raw_config.get(name, default_value) + + def __str__(self) -> str: + """Str method definition.""" + return json.dumps(self.raw_config, indent=4) + + def __repr__(self) -> str: + """Repr method definition.""" + return f"OpenAIConfiguration({self._raw_config})" + + def __eq__(self, other: object) -> bool: + """Eq method definition.""" + if not isinstance(other, OpenAIConfiguration): + return False + return self._raw_config == other._raw_config + + def __hash__(self) -> int: + """Hash method definition.""" + return hash(tuple(sorted(self._raw_config.items()))) diff --git a/graphrag/llm/openai/openai_embeddings_llm.py b/graphrag/llm/openai/openai_embeddings_llm.py new file mode 100644 index 00000000..558afe84 --- /dev/null +++ b/graphrag/llm/openai/openai_embeddings_llm.py @@ -0,0 +1,40 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The EmbeddingsLLM class.""" + +from typing_extensions import Unpack + +from graphrag.llm.base import BaseLLM +from graphrag.llm.types import ( + EmbeddingInput, + EmbeddingOutput, + LLMInput, +) + +from .openai_configuration import OpenAIConfiguration +from .types import OpenAIClientTypes + + +class OpenAIEmbeddingsLLM(BaseLLM[EmbeddingInput, EmbeddingOutput]): + """A text-embedding generator LLM.""" + + _client: OpenAIClientTypes + _configuration: OpenAIConfiguration + + def __init__(self, client: OpenAIClientTypes, configuration: OpenAIConfiguration): + self.client = client + self.configuration = configuration + + async def _execute_llm( + self, input: EmbeddingInput, **kwargs: Unpack[LLMInput] + ) -> EmbeddingOutput | None: + args = { + "model": self.configuration.model, + **(kwargs.get("model_parameters") or {}), + } + embedding = await self.client.embeddings.create( + input=input, + **args, + ) + return [d.embedding for d in embedding.data] diff --git a/graphrag/llm/openai/openai_history_tracking_llm.py b/graphrag/llm/openai/openai_history_tracking_llm.py new file mode 100644 index 00000000..26ac8e22 --- /dev/null +++ b/graphrag/llm/openai/openai_history_tracking_llm.py @@ -0,0 +1,38 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Chat-based language model.""" + +from typing_extensions import Unpack + +from graphrag.llm.types import ( + LLM, + CompletionInput, + CompletionLLM, + CompletionOutput, + LLMInput, + LLMOutput, +) + + +class OpenAIHistoryTrackingLLM(LLM[CompletionInput, CompletionOutput]): + """An OpenAI History-Tracking LLM.""" + + _delegate: CompletionLLM + + def __init__(self, delegate: CompletionLLM): + self._delegate = delegate + + async def __call__( + self, + input: CompletionInput, + **kwargs: Unpack[LLMInput], + ) -> LLMOutput[CompletionOutput]: + """Call the LLM.""" + history = kwargs.get("history") or [] + output = await self._delegate(input, **kwargs) + return LLMOutput( + output=output.output, + json=output.json, + history=[*history, {"role": "system", "content": output.output}], + ) diff --git a/graphrag/llm/openai/openai_token_replacing_llm.py b/graphrag/llm/openai/openai_token_replacing_llm.py new file mode 100644 index 00000000..7385b840 --- /dev/null +++ b/graphrag/llm/openai/openai_token_replacing_llm.py @@ -0,0 +1,37 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Chat-based language model.""" + +from typing_extensions import Unpack + +from graphrag.llm.types import ( + LLM, + CompletionInput, + CompletionLLM, + CompletionOutput, + LLMInput, + LLMOutput, +) + +from .utils import perform_variable_replacements + + +class OpenAITokenReplacingLLM(LLM[CompletionInput, CompletionOutput]): + """An OpenAI History-Tracking LLM.""" + + _delegate: CompletionLLM + + def __init__(self, delegate: CompletionLLM): + self._delegate = delegate + + async def __call__( + self, + input: CompletionInput, + **kwargs: Unpack[LLMInput], + ) -> LLMOutput[CompletionOutput]: + """Call the LLM with the input and kwargs.""" + variables = kwargs.get("variables") + history = kwargs.get("history") or [] + input = perform_variable_replacements(input, history, variables) + return await self._delegate(input, **kwargs) diff --git a/graphrag/llm/openai/types.py b/graphrag/llm/openai/types.py new file mode 100644 index 00000000..4aacf18c --- /dev/null +++ b/graphrag/llm/openai/types.py @@ -0,0 +1,11 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A base class for OpenAI-based LLMs.""" + +from openai import ( + AsyncAzureOpenAI, + AsyncOpenAI, +) + +OpenAIClientTypes = AsyncOpenAI | AsyncAzureOpenAI diff --git a/graphrag/llm/openai/utils.py b/graphrag/llm/openai/utils.py new file mode 100644 index 00000000..d529a8c0 --- /dev/null +++ b/graphrag/llm/openai/utils.py @@ -0,0 +1,113 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Utility functions for the OpenAI API.""" + +import json +import logging +from collections.abc import Callable +from typing import Any + +import tiktoken +from openai import ( + APIConnectionError, + InternalServerError, + RateLimitError, +) + +from .openai_configuration import OpenAIConfiguration + +DEFAULT_ENCODING = "cl100k_base" + +_encoders: dict[str, tiktoken.Encoding] = {} + +RETRYABLE_ERRORS: list[type[Exception]] = [ + RateLimitError, + APIConnectionError, + InternalServerError, +] +RATE_LIMIT_ERRORS: list[type[Exception]] = [RateLimitError] + +log = logging.getLogger(__name__) + + +def get_token_counter(config: OpenAIConfiguration) -> Callable[[str], int]: + """Get a function that counts the number of tokens in a string.""" + model = config.encoding_model or "cl100k_base" + enc = _encoders.get(model) + if enc is None: + enc = tiktoken.get_encoding(model) + _encoders[model] = enc + + return lambda s: len(enc.encode(s)) + + +def perform_variable_replacements( + input: str, history: list[dict], variables: dict | None +) -> str: + """Perform variable replacements on the input string and in a chat log.""" + result = input + + def replace_all(input: str) -> str: + result = input + if variables: + for entry in variables: + result = result.replace(f"{{{entry}}}", variables[entry]) + return result + + result = replace_all(result) + for i in range(len(history)): + entry = history[i] + if entry.get("role") == "system": + history[i]["content"] = replace_all(entry.get("content") or "") + + return result + + +def get_completion_cache_args(configuration: OpenAIConfiguration) -> dict: + """Get the cache arguments for a completion LLM.""" + return { + "model": configuration.model, + "temperature": configuration.temperature, + "frequency_penalty": configuration.frequency_penalty, + "presence_penalty": configuration.presence_penalty, + "top_p": configuration.top_p, + "max_tokens": configuration.max_tokens, + "n": configuration.n, + } + + +def get_completion_llm_args( + parameters: dict | None, configuration: OpenAIConfiguration +) -> dict: + """Get the arguments for a completion LLM.""" + return { + **get_completion_cache_args(configuration), + **(parameters or {}), + } + + +def try_parse_json_object(input: str) -> dict: + """Generate JSON-string output using best-attempt prompting & parsing techniques.""" + try: + result = json.loads(input) + except json.JSONDecodeError: + log.exception("error loading json, json=%s", input) + raise + else: + if not isinstance(result, dict): + raise TypeError + return result + + +def get_sleep_time_from_error(e: Any) -> float: + """Extract the sleep time value from a RateLimitError. This is usually only available in Azure.""" + sleep_time = 0.0 + if isinstance(e, RateLimitError) and _please_retry_after in str(e): + # could be second or seconds + sleep_time = int(str(e).split(_please_retry_after)[1].split(" second")[0]) + + return sleep_time + + +_please_retry_after = "Please retry after " diff --git a/graphrag/llm/types/__init__.py b/graphrag/llm/types/__init__.py new file mode 100644 index 00000000..c8277661 --- /dev/null +++ b/graphrag/llm/types/__init__.py @@ -0,0 +1,46 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""LLM Typings.""" + +from .llm import LLM +from .llm_cache import LLMCache +from .llm_callbacks import ( + ErrorHandlerFn, + IsResponseValidFn, + LLMInvocationFn, + OnCacheActionFn, +) +from .llm_config import LLMConfig +from .llm_invocation_result import LLMInvocationResult +from .llm_io import ( + LLMInput, + LLMOutput, +) +from .llm_types import ( + CompletionInput, + CompletionLLM, + CompletionOutput, + EmbeddingInput, + EmbeddingLLM, + EmbeddingOutput, +) + +__all__ = [ + "LLM", + "CompletionInput", + "CompletionLLM", + "CompletionOutput", + "EmbeddingInput", + "EmbeddingLLM", + "EmbeddingOutput", + "ErrorHandlerFn", + "IsResponseValidFn", + "LLMCache", + "LLMConfig", + "LLMInput", + "LLMInvocationFn", + "LLMInvocationResult", + "LLMOutput", + "OnCacheActionFn", +] diff --git a/graphrag/llm/types/llm.py b/graphrag/llm/types/llm.py new file mode 100644 index 00000000..fd8407e5 --- /dev/null +++ b/graphrag/llm/types/llm.py @@ -0,0 +1,28 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""LLM Types.""" + +from typing import Generic, Protocol, TypeVar + +from typing_extensions import Unpack + +from .llm_io import ( + LLMInput, + LLMOutput, +) + +TIn = TypeVar("TIn", contravariant=True) +TOut = TypeVar("TOut") + + +class LLM(Protocol, Generic[TIn, TOut]): + """LLM Protocol definition.""" + + async def __call__( + self, + input: TIn, + **kwargs: Unpack[LLMInput], + ) -> LLMOutput[TOut]: + """Invoke the LLM, treating the LLM as a function.""" + ... diff --git a/graphrag/llm/types/llm_cache.py b/graphrag/llm/types/llm_cache.py new file mode 100644 index 00000000..952b8d34 --- /dev/null +++ b/graphrag/llm/types/llm_cache.py @@ -0,0 +1,22 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Typing definitions for the OpenAI DataShaper package.""" + +from typing import Any, Protocol + + +class LLMCache(Protocol): + """LLM Cache interface.""" + + async def has(self, key: str) -> bool: + """Check if the cache has a value.""" + ... + + async def get(self, key: str) -> Any | None: + """Retrieve a value from the cache.""" + ... + + async def set(self, key: str, value: Any, debug_data: dict | None = None) -> None: + """Write a value into the cache.""" + ... diff --git a/graphrag/llm/types/llm_callbacks.py b/graphrag/llm/types/llm_callbacks.py new file mode 100644 index 00000000..dc06dbff --- /dev/null +++ b/graphrag/llm/types/llm_callbacks.py @@ -0,0 +1,20 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Typing definitions for the OpenAI DataShaper package.""" + +from collections.abc import Callable + +from .llm_invocation_result import LLMInvocationResult + +ErrorHandlerFn = Callable[[BaseException | None, str | None, dict | None], None] +"""Error handler function type definition.""" + +LLMInvocationFn = Callable[[LLMInvocationResult], None] +"""Handler for LLM invocation results""" + +OnCacheActionFn = Callable[[str, str | None], None] +"""Handler for cache hits""" + +IsResponseValidFn = Callable[[dict], bool] +"""A function that checks if an LLM response is valid.""" diff --git a/graphrag/llm/types/llm_config.py b/graphrag/llm/types/llm_config.py new file mode 100644 index 00000000..cd7ec255 --- /dev/null +++ b/graphrag/llm/types/llm_config.py @@ -0,0 +1,35 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""LLM Configuration Protocol definition.""" + +from typing import Protocol + + +class LLMConfig(Protocol): + """LLM Configuration Protocol definition.""" + + @property + def max_retries(self) -> int | None: + """Get the maximum number of retries.""" + ... + + @property + def max_retry_wait(self) -> float | None: + """Get the maximum retry wait time.""" + ... + + @property + def sleep_on_rate_limit_recommendation(self) -> bool | None: + """Get whether to sleep on rate limit recommendation.""" + ... + + @property + def tokens_per_minute(self) -> int | None: + """Get the number of tokens per minute.""" + ... + + @property + def requests_per_minute(self) -> int | None: + """Get the number of requests per minute.""" + ... diff --git a/graphrag/llm/types/llm_invocation_result.py b/graphrag/llm/types/llm_invocation_result.py new file mode 100644 index 00000000..1769aeb9 --- /dev/null +++ b/graphrag/llm/types/llm_invocation_result.py @@ -0,0 +1,35 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Typing definitions for the OpenAI DataShaper package.""" + +from dataclasses import dataclass +from typing import Generic, TypeVar + +T = TypeVar("T") + + +@dataclass +class LLMInvocationResult(Generic[T]): + """The result of an LLM invocation.""" + + result: T | None + """The result of the LLM invocation.""" + + name: str + """The operation name of the result""" + + num_retries: int + """The number of retries the invocation took.""" + + total_time: float + """The total time of the LLM invocation.""" + + call_times: list[float] + """The network times of individual invocations.""" + + input_tokens: int + """The number of input tokens.""" + + output_tokens: int + """The number of output tokens.""" diff --git a/graphrag/llm/types/llm_io.py b/graphrag/llm/types/llm_io.py new file mode 100644 index 00000000..051b5b82 --- /dev/null +++ b/graphrag/llm/types/llm_io.py @@ -0,0 +1,50 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""LLM Types.""" + +from dataclasses import dataclass, field +from typing import Generic, TypeVar + +from typing_extensions import NotRequired, TypedDict + +from .llm_callbacks import IsResponseValidFn + + +class LLMInput(TypedDict): + """The input of an LLM invocation.""" + + name: NotRequired[str] + """The name of the LLM invocation, if available.""" + + json: NotRequired[bool] + """If true, will attempt to elicit JSON from the LLM. Parsed JSON will be returned in the `json_output` field.""" + + is_response_valid: NotRequired[IsResponseValidFn] + """A function that checks if an LLM response is valid. Only valid if `json=True`.""" + + variables: NotRequired[dict] + """The variable replacements to use in the prompt.""" + + history: NotRequired[list[dict]] + """The history of the LLM invocation, if available (e.g. chat mode)""" + + model_parameters: NotRequired[dict] + """Additional model parameters to use in the LLM invocation.""" + + +T = TypeVar("T") + + +@dataclass +class LLMOutput(Generic[T]): + """The output of an LLM invocation.""" + + output: T | None + """The output of the LLM invocation.""" + + json: dict | None = field(default=None) + """The JSON output from the LLM, if available.""" + + history: list[dict] | None = field(default=None) + """The history of the LLM invocation, if available (e.g. chat mode)""" diff --git a/graphrag/llm/types/llm_types.py b/graphrag/llm/types/llm_types.py new file mode 100644 index 00000000..7ae76ef9 --- /dev/null +++ b/graphrag/llm/types/llm_types.py @@ -0,0 +1,16 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""LLM Types.""" + +from typing import TypeAlias + +from .llm import LLM + +EmbeddingInput: TypeAlias = list[str] +EmbeddingOutput: TypeAlias = list[list[float]] +CompletionInput: TypeAlias = str +CompletionOutput: TypeAlias = str + +EmbeddingLLM: TypeAlias = LLM[EmbeddingInput, EmbeddingOutput] +CompletionLLM: TypeAlias = LLM[CompletionInput, CompletionOutput] diff --git a/graphrag/model/__init__.py b/graphrag/model/__init__.py new file mode 100644 index 00000000..9dbec3d1 --- /dev/null +++ b/graphrag/model/__init__.py @@ -0,0 +1,31 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +""" +GraphRAG knowledge model package root. + +The GraphRAG knowledge model contains a set of classes that represent the target datamodels for our pipelines and analytics tools. +These models can be augmented and integrated into your own data infrastructure to suit your needs. +""" + +from .community import Community +from .community_report import CommunityReport +from .covariate import Covariate +from .document import Document +from .entity import Entity +from .identified import Identified +from .named import Named +from .relationship import Relationship +from .text_unit import TextUnit + +__all__ = [ + "Community", + "CommunityReport", + "Covariate", + "Document", + "Entity", + "Identified", + "Named", + "Relationship", + "TextUnit", +] diff --git a/graphrag/model/community.py b/graphrag/model/community.py new file mode 100644 index 00000000..800a9a29 --- /dev/null +++ b/graphrag/model/community.py @@ -0,0 +1,54 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A package containing the 'Community' model.""" + +from dataclasses import dataclass +from typing import Any + +from .named import Named + + +@dataclass +class Community(Named): + """A protocol for a community in the system.""" + + level: str = "" + """Community level.""" + + entity_ids: list[str] | None = None + """List of entity IDs related to the community (optional).""" + + relationship_ids: list[str] | None = None + """List of relationship IDs related to the community (optional).""" + + covariate_ids: dict[str, list[str]] | None = None + """Dictionary of different types of covariates related to the community (optional), e.g. claims""" + + attributes: dict[str, Any] | None = None + """A dictionary of additional attributes associated with the community (optional). To be included in the search prompt.""" + + @classmethod + def from_dict( + cls, + d: dict[str, Any], + id_key: str = "id", + title_key: str = "title", + short_id_key: str = "short_id", + level_key: str = "level", + entities_key: str = "entity_ids", + relationships_key: str = "relationship_ids", + covariates_key: str = "covariate_ids", + attributes_key: str = "attributes", + ) -> "Community": + """Create a new community from the dict data.""" + return Community( + id=d[id_key], + title=d[title_key], + short_id=d.get(short_id_key), + level=d[level_key], + entity_ids=d.get(entities_key), + relationship_ids=d.get(relationships_key), + covariate_ids=d.get(covariates_key), + attributes=d.get(attributes_key), + ) diff --git a/graphrag/model/community_report.py b/graphrag/model/community_report.py new file mode 100644 index 00000000..2666c0b5 --- /dev/null +++ b/graphrag/model/community_report.py @@ -0,0 +1,64 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A package containing the 'CommunityReport' model.""" + +from dataclasses import dataclass +from typing import Any + +from .named import Named + + +@dataclass +class CommunityReport(Named): + """Defines an LLM-generated summary report of a community.""" + + community_id: str + """The ID of the community this report is associated with.""" + + summary: str = "" + """Summary of the report.""" + + full_content: str = "" + """Full content of the report.""" + + rank: float | None = 1.0 + """Rank of the report, used for sorting (optional). Higher means more important""" + + summary_embedding: list[float] | None = None + """The semantic (i.e. text) embedding of the report summary (optional).""" + + full_content_embedding: list[float] | None = None + """The semantic (i.e. text) embedding of the full report content (optional).""" + + attributes: dict[str, Any] | None = None + """A dictionary of additional attributes associated with the report (optional).""" + + @classmethod + def from_dict( + cls, + d: dict[str, Any], + id_key: str = "id", + title_key: str = "title", + community_id_key: str = "community_id", + short_id_key: str = "short_id", + summary_key: str = "summary", + full_content_key: str = "full_content", + rank_key: str = "rank", + summary_embedding_key: str = "summary_embedding", + full_content_embedding_key: str = "full_content_embedding", + attributes_key: str = "attributes", + ) -> "CommunityReport": + """Create a new community report from the dict data.""" + return CommunityReport( + id=d[id_key], + title=d[title_key], + community_id=d[community_id_key], + short_id=d.get(short_id_key), + summary=d[summary_key], + full_content=d[full_content_key], + rank=d[rank_key], + summary_embedding=d.get(summary_embedding_key), + full_content_embedding=d.get(full_content_embedding_key), + attributes=d.get(attributes_key), + ) diff --git a/graphrag/model/covariate.py b/graphrag/model/covariate.py new file mode 100644 index 00000000..b974b6b3 --- /dev/null +++ b/graphrag/model/covariate.py @@ -0,0 +1,61 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A package containing the 'Covariate' model.""" + +from dataclasses import dataclass +from typing import Any + +from .identified import Identified + + +@dataclass +class Covariate(Identified): + """ + A protocol for a covariate in the system. + + Covariates are metadata associated with a subject, e.g. entity claims. + Each subject (e.g. entity) may be associated with multiple types of covariates. + """ + + subject_id: str + """The subject id.""" + + subject_type: str = "entity" + """The subject type.""" + + covariate_type: str = "claim" + """The covariate type.""" + + text_unit_ids: list[str] | None = None + """List of text unit IDs in which the covariate info appears (optional).""" + + document_ids: list[str] | None = None + """List of document IDs in which the covariate info appears (optional).""" + + attributes: dict[str, Any] | None = None + + @classmethod + def from_dict( + cls, + d: dict[str, Any], + id_key: str = "id", + subject_id_key: str = "subject_id", + subject_type_key: str = "subject_type", + covariate_type_key: str = "covariate_type", + short_id_key: str = "short_id", + text_unit_ids_key: str = "text_unit_ids", + document_ids_key: str = "document_ids", + attributes_key: str = "attributes", + ) -> "Covariate": + """Create a new covariate from the dict data.""" + return Covariate( + id=d[id_key], + short_id=d.get(short_id_key), + subject_id=d[subject_id_key], + subject_type=d.get(subject_type_key, "entity"), + covariate_type=d.get(covariate_type_key, "claim"), + text_unit_ids=d.get(text_unit_ids_key), + document_ids=d.get(document_ids_key), + attributes=d.get(attributes_key), + ) diff --git a/graphrag/model/document.py b/graphrag/model/document.py new file mode 100644 index 00000000..b54a39ac --- /dev/null +++ b/graphrag/model/document.py @@ -0,0 +1,64 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A package containing the 'Document' model.""" + +from dataclasses import dataclass, field +from typing import Any + +from .named import Named + + +@dataclass +class Document(Named): + """A protocol for a document in the system.""" + + type: str = "text" + """Type of the document.""" + + text_unit_ids: list[str] = field(default_factory=list) + """list of text units in the document.""" + + raw_content: str = "" + """The raw text content of the document.""" + + summary: str | None = None + """Summary of the document (optional).""" + + summary_embedding: list[float] | None = None + """The semantic embedding for the document summary (optional).""" + + raw_content_embedding: list[float] | None = None + """The semantic embedding for the document raw content (optional).""" + + attributes: dict[str, Any] | None = None + """A dictionary of structured attributes such as author, etc (optional).""" + + @classmethod + def from_dict( + cls, + d: dict[str, Any], + id_key: str = "id", + short_id_key: str = "short_id", + title_key: str = "title", + type_key: str = "type", + raw_content_key: str = "raw_content", + summary_key: str = "summary", + summary_embedding_key: str = "summary_embedding", + raw_content_embedding_key: str = "raw_content_embedding", + text_units_key: str = "text_units", + attributes_key: str = "attributes", + ) -> "Document": + """Create a new document from the dict data.""" + return Document( + id=d[id_key], + short_id=d.get(short_id_key), + title=d[title_key], + type=d.get(type_key, "text"), + raw_content=d[raw_content_key], + summary=d.get(summary_key), + summary_embedding=d.get(summary_embedding_key), + raw_content_embedding=d.get(raw_content_embedding_key), + text_unit_ids=d.get(text_units_key, []), + attributes=d.get(attributes_key), + ) diff --git a/graphrag/model/entity.py b/graphrag/model/entity.py new file mode 100644 index 00000000..37c26342 --- /dev/null +++ b/graphrag/model/entity.py @@ -0,0 +1,79 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A package containing the 'Entity' model.""" + +from dataclasses import dataclass +from typing import Any + +from .named import Named + + +@dataclass +class Entity(Named): + """A protocol for an entity in the system.""" + + type: str | None = None + """Type of the entity (can be any string, optional).""" + + description: str | None = None + """Description of the entity (optional).""" + + description_embedding: list[float] | None = None + """The semantic (i.e. text) embedding of the entity (optional).""" + + name_embedding: list[float] | None = None + """The semantic (i.e. text) embedding of the entity (optional).""" + + graph_embedding: list[float] | None = None + """The graph embedding of the entity, likely from node2vec (optional).""" + + community_ids: list[str] | None = None + """The community IDs of the entity (optional).""" + + text_unit_ids: list[str] | None = None + """List of text unit IDs in which the entity appears (optional).""" + + document_ids: list[str] | None = None + """List of document IDs in which the entity appears (optional).""" + + rank: int | None = 1 + """Rank of the entity, used for sorting (optional). Higher rank indicates more important entity. This can be based on centrality or other metrics.""" + + attributes: dict[str, Any] | None = None + """Additional attributes associated with the entity (optional), e.g. start time, end time, etc. To be included in the search prompt.""" + + @classmethod + def from_dict( + cls, + d: dict[str, Any], + id_key: str = "id", + short_id_key: str = "short_id", + title_key: str = "title", + type_key: str = "type", + description_key: str = "description", + description_embedding_key: str = "description_embedding", + name_embedding_key: str = "name_embedding", + graph_embedding_key: str = "graph_embedding", + community_key: str = "community", + text_unit_ids_key: str = "text_unit_ids", + document_ids_key: str = "document_ids", + rank_key: str = "degree", + attributes_key: str = "attributes", + ) -> "Entity": + """Create a new entity from the dict data.""" + return Entity( + id=d[id_key], + title=d[title_key], + short_id=d.get(short_id_key), + type=d.get(type_key), + description=d.get(description_key), + name_embedding=d.get(name_embedding_key), + description_embedding=d.get(description_embedding_key), + graph_embedding=d.get(graph_embedding_key), + community_ids=d.get(community_key), + rank=d.get(rank_key, 1), + text_unit_ids=d.get(text_unit_ids_key), + document_ids=d.get(document_ids_key), + attributes=d.get(attributes_key), + ) diff --git a/graphrag/model/identified.py b/graphrag/model/identified.py new file mode 100644 index 00000000..ca2c9395 --- /dev/null +++ b/graphrag/model/identified.py @@ -0,0 +1,17 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A package containing the 'Identified' protocol.""" + +from dataclasses import dataclass + + +@dataclass +class Identified: + """A protocol for an item with an ID.""" + + id: str + """The ID of the item.""" + + short_id: str | None + """Human readable ID used to refer to this community in prompts or texts displayed to users, such as in a report text (optional).""" diff --git a/graphrag/model/named.py b/graphrag/model/named.py new file mode 100644 index 00000000..5352c77c --- /dev/null +++ b/graphrag/model/named.py @@ -0,0 +1,16 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A package containing the 'Named' protocol.""" + +from dataclasses import dataclass + +from .identified import Identified + + +@dataclass +class Named(Identified): + """A protocol for an item with a name/title.""" + + title: str + """The name/title of the item.""" diff --git a/graphrag/model/relationship.py b/graphrag/model/relationship.py new file mode 100644 index 00000000..fadd0aaa --- /dev/null +++ b/graphrag/model/relationship.py @@ -0,0 +1,65 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A package containing the 'Relationship' model.""" + +from dataclasses import dataclass +from typing import Any + +from .identified import Identified + + +@dataclass +class Relationship(Identified): + """A relationship between two entities. This is a generic relationship, and can be used to represent any type of relationship between any two entities.""" + + source: str + """The source entity name.""" + + target: str + """The target entity name.""" + + weight: float | None = 1.0 + """The edge weight.""" + + description: str | None = None + """A description of the relationship (optional).""" + + description_embedding: list[float] | None = None + """The semantic embedding for the relationship description (optional).""" + + text_unit_ids: list[str] | None = None + """List of text unit IDs in which the relationship appears (optional).""" + + document_ids: list[str] | None = None + """List of document IDs in which the relationship appears (optional).""" + + attributes: dict[str, Any] | None = None + """Additional attributes associated with the relationship (optional). To be included in the search prompt""" + + @classmethod + def from_dict( + cls, + d: dict[str, Any], + id_key: str = "id", + short_id_key: str = "short_id", + source_key: str = "source", + target_key: str = "target", + description_key: str = "description", + weight_key: str = "weight", + text_unit_ids_key: str = "text_unit_ids", + document_ids_key: str = "document_ids", + attributes_key: str = "attributes", + ) -> "Relationship": + """Create a new relationship from the dict data.""" + return Relationship( + id=d[id_key], + short_id=d.get(short_id_key), + source=d[source_key], + target=d[target_key], + description=d.get(description_key), + weight=d.get(weight_key, 1.0), + text_unit_ids=d.get(text_unit_ids_key), + document_ids=d.get(document_ids_key), + attributes=d.get(attributes_key), + ) diff --git a/graphrag/model/text_unit.py b/graphrag/model/text_unit.py new file mode 100644 index 00000000..cff4ac01 --- /dev/null +++ b/graphrag/model/text_unit.py @@ -0,0 +1,67 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A package containing the 'TextUnit' model.""" + +from dataclasses import dataclass +from typing import Any + +from .identified import Identified + + +@dataclass +class TextUnit(Identified): + """A protocol for a TextUnit item in a Document database.""" + + text: str + """The text of the unit.""" + + text_embedding: list[float] | None = None + """The text embedding for the text unit (optional).""" + + entity_ids: list[str] | None = None + """List of entity IDs related to the text unit (optional).""" + + relationship_ids: list[str] | None = None + """List of relationship IDs related to the text unit (optional).""" + + covariate_ids: dict[str, list[str]] | None = None + "Dictionary of different types of covariates related to the text unit (optional)." + + n_tokens: int | None = None + """The number of tokens in the text (optional).""" + + document_ids: list[str] | None = None + """List of document IDs in which the text unit appears (optional).""" + + attributes: dict[str, Any] | None = None + """A dictionary of additional attributes associated with the text unit (optional).""" + + @classmethod + def from_dict( + cls, + d: dict[str, Any], + id_key: str = "id", + short_id_key: str = "short_id", + text_key: str = "text", + text_embedding_key: str = "text_embedding", + entities_key: str = "entity_ids", + relationships_key: str = "relationship_ids", + covariates_key: str = "covariate_ids", + n_tokens_key: str = "n_tokens", + document_ids_key: str = "document_ids", + attributes_key: str = "attributes", + ) -> "TextUnit": + """Create a new text unit from the dict data.""" + return TextUnit( + id=d[id_key], + short_id=d.get(short_id_key), + text=d[text_key], + text_embedding=d.get(text_embedding_key), + entity_ids=d.get(entities_key), + relationship_ids=d.get(relationships_key), + covariate_ids=d.get(covariates_key), + n_tokens=d.get(n_tokens_key), + document_ids=d.get(document_ids_key), + attributes=d.get(attributes_key), + ) diff --git a/graphrag/model/types.py b/graphrag/model/types.py new file mode 100644 index 00000000..6156e399 --- /dev/null +++ b/graphrag/model/types.py @@ -0,0 +1,8 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Common types for the GraphRAG knowledge model.""" + +from collections.abc import Callable + +TextEmbedder = Callable[[str], list[float]] diff --git a/graphrag/prompt_tune/__init__.py b/graphrag/prompt_tune/__init__.py new file mode 100644 index 00000000..2384b579 --- /dev/null +++ b/graphrag/prompt_tune/__init__.py @@ -0,0 +1,4 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Command line interface for the fine_tune module.""" diff --git a/graphrag/prompt_tune/__main__.py b/graphrag/prompt_tune/__main__.py new file mode 100644 index 00000000..341a0fa4 --- /dev/null +++ b/graphrag/prompt_tune/__main__.py @@ -0,0 +1,111 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Prompt auto templating package root.""" + +import argparse +import asyncio +from enum import Enum + +from graphrag.prompt_tune.generator import MAX_TOKEN_COUNT +from graphrag.prompt_tune.loader import MIN_CHUNK_SIZE + +from .cli import fine_tune + + +class DocSelectionType(Enum): + """The type of document selection to use.""" + + ALL = "all" + RANDOM = "random" + TOP = "top" + + def __str__(self): + """Return the string representation of the enum value.""" + return self.value + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + + parser.add_argument( + "--root", + help="The data project root. Including the config yml, json or .env", + required=False, + type=str, + default=".", + ) + + parser.add_argument( + "--domain", + help="The domain your input data is related to. For example 'space science', 'microbiology', 'environmental news'. If left empty, the domain will be inferred from the input data.", + required=False, + default="", + type=str, + ) + + parser.add_argument( + "--method", + help="The method to select documents, one of: all, random or top", + required=False, + type=DocSelectionType, + choices=list(DocSelectionType), + default=DocSelectionType.RANDOM, + ) + + parser.add_argument( + "--limit", + help="The limit of files to load when doing random or top selection", + type=int, + required=False, + default=15, + ) + + parser.add_argument( + "--max-tokens", + help="Max token count for prompt generation", + type=int, + required=False, + default=MAX_TOKEN_COUNT, + ) + + parser.add_argument( + "--chunk-size", + help="Max token count for prompt generation", + type=int, + required=False, + default=MIN_CHUNK_SIZE, + ) + + parser.add_argument( + "--no-entity-types", + help="Use untyped entity extraction generation", + action="store_true", + required=False, + default=False, + ) + + parser.add_argument( + "--output", + help="Folder to save the generated prompts to", + type=str, + required=False, + default="prompts", + ) + + args = parser.parse_args() + + loop = asyncio.get_event_loop() + + loop.run_until_complete( + fine_tune( + args.root, + args.domain, + str(args.method), + args.limit, + args.max_tokens, + args.chunk_size, + args.no_entity_types, + args.output, + ) + ) diff --git a/graphrag/prompt_tune/cli.py b/graphrag/prompt_tune/cli.py new file mode 100644 index 00000000..94983cf7 --- /dev/null +++ b/graphrag/prompt_tune/cli.py @@ -0,0 +1,226 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Command line interface for the fine_tune module.""" + +from pathlib import Path + +from datashaper import NoopVerbCallbacks + +from graphrag.config.models.graph_rag_config import GraphRagConfig +from graphrag.index.llm import load_llm +from graphrag.index.progress import PrintProgressReporter +from graphrag.index.progress.types import ProgressReporter +from graphrag.llm.types.llm_types import CompletionLLM +from graphrag.prompt_tune.generator import ( + MAX_TOKEN_COUNT, + create_community_summarization_prompt, + create_entity_extraction_prompt, + create_entity_summarization_prompt, + generate_community_reporter_role, + generate_domain, + generate_entity_relationship_examples, + generate_entity_types, + generate_persona, +) +from graphrag.prompt_tune.loader import ( + MIN_CHUNK_SIZE, + load_docs_in_chunks, + read_config_parameters, +) + + +async def fine_tune( + root: str, + domain: str, + select: str = "random", + limit: int = 15, + max_tokens: int = MAX_TOKEN_COUNT, + chunk_size: int = MIN_CHUNK_SIZE, + skip_entity_types: bool = False, + output: str = "prompts", +): + """Fine tune the model. + + Parameters + ---------- + - root: The root directory. + - domain: The domain to map the input documents to. + - select: The chunk selection method. + - limit: The limit of chunks to load. + - max_tokens: The maximum number of tokens to use on entity extraction prompts. + - chunk_size: The chunk token size to use. + - skip_entity_types: Skip generating entity types. + - output: The output folder to store the prompts. + """ + reporter = PrintProgressReporter("") + config = read_config_parameters(root, reporter) + + await fine_tune_with_config( + root, + config, + domain, + select, + limit, + max_tokens, + chunk_size, + skip_entity_types, + output, + reporter, + ) + + +async def fine_tune_with_config( + root: str, + config: GraphRagConfig, + domain: str, + select: str = "random", + limit: int = 15, + max_tokens: int = MAX_TOKEN_COUNT, + chunk_size: int = MIN_CHUNK_SIZE, + skip_entity_types: bool = False, + output: str = "prompts", + reporter: ProgressReporter | None = None, +): + """Fine tune the model with a configuration. + + Parameters + ---------- + - root: The root directory. + - config: The GraphRag configuration. + - domain: The domain to map the input documents to. + - select: The chunk selection method. + - limit: The limit of chunks to load. + - max_tokens: The maximum number of tokens to use on entity extraction prompts. + - chunk_size: The chunk token size to use for input text units. + - skip_entity_types: Skip generating entity types. + - output: The output folder to store the prompts. + - reporter: The progress reporter. + + Returns + ------- + - None + """ + if not reporter: + reporter = PrintProgressReporter("") + + output_path = Path(config.root_dir) / output + + doc_list = await load_docs_in_chunks( + root=root, + config=config, + limit=limit, + select_method=select, + reporter=reporter, + chunk_size=chunk_size, + ) + + # Create LLM from config + llm = load_llm( + "fine_tuning", + config.llm.type, + NoopVerbCallbacks(), + None, + config.llm.model_dump(), + ) + + await generate_indexing_prompts( + llm, + config, + doc_list, + output_path, + reporter, + domain, + max_tokens, + skip_entity_types, + ) + + +async def generate_indexing_prompts( + llm: CompletionLLM, + config: GraphRagConfig, + doc_list: list[str], + output_path: Path, + reporter: ProgressReporter, + domain: str | None = None, + max_tokens: int = MAX_TOKEN_COUNT, + skip_entity_types: bool = False, +): + """Generate indexing prompts. + + Parameters + ---------- + - llm: The LLM model to use. + - config: The GraphRag configuration. + - doc_list: The list of documents to use. + - output_path: The path to store the prompts. + - reporter: The progress reporter. + - domain: The domain to map the input documents to. + - max_tokens: The maximum number of tokens to use on entity extraction prompts + - skip_entity_types: Skip generating entity types. + """ + if not domain: + reporter.info("Generating domain...") + domain = await generate_domain(llm, doc_list) + reporter.info(f"Generated domain: {domain}") + + reporter.info("Generating persona...") + persona = await generate_persona(llm, domain) + reporter.info(f"Generated persona: {persona}") + + entity_types = None + if not skip_entity_types: + reporter.info("Generating entity types") + entity_types = await generate_entity_types( + llm, + domain=domain, + persona=persona, + docs=doc_list, + json_mode=config.llm.model_supports_json or False, + ) + reporter.info(f"Generated entity types: {entity_types}") + + reporter.info("Generating entity relationship examples...") + examples = await generate_entity_relationship_examples( + llm, + persona=persona, + entity_types=entity_types, + docs=doc_list, + json_mode=False, # config.llm.model_supports_json should be used, but this prompts are used in non-json by the index engine + ) + reporter.info("Done generating entity relationship examples") + + reporter.info("Generating entity extraction prompt...") + create_entity_extraction_prompt( + entity_types=entity_types, + docs=doc_list, + examples=examples, + json_mode=False, # config.llm.model_supports_json should be used, but this prompts are used in non-json by the index engine + model_name=config.llm.model, + output_path=output_path, + max_token_count=max_tokens, + ) + reporter.info(f"Generated entity extraction prompt, stored in folder {output_path}") + + reporter.info("Generating entity summarization prompt...") + create_entity_summarization_prompt( + persona=persona, + output_path=output_path, + ) + reporter.info( + f"Generated entity summarization prompt, stored in folder {output_path}" + ) + + reporter.info("Generating community reporter role...") + community_reporter_role = await generate_community_reporter_role( + llm, domain=domain, persona=persona, docs=doc_list + ) + reporter.info(f"Generated community reporter role: {community_reporter_role}") + + reporter.info("Generating community summarization prompt...") + create_community_summarization_prompt( + persona=persona, role=community_reporter_role, output_path=output_path + ) + reporter.info( + f"Generated community summarization prompt, stored in folder {output_path}" + ) diff --git a/graphrag/prompt_tune/generator/__init__.py b/graphrag/prompt_tune/generator/__init__.py new file mode 100644 index 00000000..e93277b4 --- /dev/null +++ b/graphrag/prompt_tune/generator/__init__.py @@ -0,0 +1,26 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Prompt generation module.""" + +from .community_report_summarization import create_community_summarization_prompt +from .community_reporter_role import generate_community_reporter_role +from .defaults import MAX_TOKEN_COUNT +from .domain import generate_domain +from .entity_extraction_prompt import create_entity_extraction_prompt +from .entity_relationship import generate_entity_relationship_examples +from .entity_summarization_prompt import create_entity_summarization_prompt +from .entity_types import generate_entity_types +from .persona import generate_persona + +__all__ = [ + "MAX_TOKEN_COUNT", + "create_community_summarization_prompt", + "create_entity_extraction_prompt", + "create_entity_summarization_prompt", + "generate_community_reporter_role", + "generate_domain", + "generate_entity_relationship_examples", + "generate_entity_types", + "generate_persona", +] diff --git a/graphrag/prompt_tune/generator/community_report_summarization.py b/graphrag/prompt_tune/generator/community_report_summarization.py new file mode 100644 index 00000000..4a0a7ea6 --- /dev/null +++ b/graphrag/prompt_tune/generator/community_report_summarization.py @@ -0,0 +1,40 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Module for generating prompts for community report summarization.""" + +from pathlib import Path + +from graphrag.prompt_tune.template import COMMUNITY_REPORT_SUMMARIZATION_PROMPT + +COMMUNITY_SUMMARIZATION_FILENAME = "community_report.txt" + + +def create_community_summarization_prompt( + persona: str, + role: str, + output_path: Path | None = None, +) -> str: + """Create a prompt for community summarization. If output_path is provided, write the prompt to a file. + + Parameters + ---------- + - persona (str): The persona to use for the community summarization prompt + - role (str): The role to use for the community summarization prompt + - output_path (Path | None): The path to write the prompt to. Default is None. If None, the prompt is not written to a file. Default is None. + + Returns + ------- + - str: The community summarization prompt + """ + prompt = COMMUNITY_REPORT_SUMMARIZATION_PROMPT.format(persona=persona, role=role) + + if output_path: + output_path.mkdir(parents=True, exist_ok=True) + + output_path = output_path / COMMUNITY_SUMMARIZATION_FILENAME + # Write file to output path + with output_path.open("w") as file: + file.write(prompt) + + return prompt diff --git a/graphrag/prompt_tune/generator/community_reporter_role.py b/graphrag/prompt_tune/generator/community_reporter_role.py new file mode 100644 index 00000000..9abd5ed8 --- /dev/null +++ b/graphrag/prompt_tune/generator/community_reporter_role.py @@ -0,0 +1,35 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Generate a community reporter role for community summarization.""" + +from graphrag.llm.types.llm_types import CompletionLLM +from graphrag.prompt_tune.prompt import ( + GENERATE_COMMUNITY_REPORTER_ROLE_PROMPT, +) + + +async def generate_community_reporter_role( + llm: CompletionLLM, domain: str, persona: str, docs: str | list[str] +) -> str: + """Generate an LLM persona to use for GraphRAG prompts. + + Parameters + ---------- + - llm (CompletionLLM): The LLM to use for generation + - domain (str): The domain to generate a persona for + - persona (str): The persona to generate a role for + - docs (str | list[str]): The domain to generate a persona for + + Returns + ------- + - str: The generated domain prompt response. + """ + docs_str = " ".join(docs) if isinstance(docs, list) else docs + domain_prompt = GENERATE_COMMUNITY_REPORTER_ROLE_PROMPT.format( + domain=domain, persona=persona, input_text=docs_str + ) + + response = await llm(domain_prompt) + + return str(response.output) diff --git a/graphrag/prompt_tune/generator/defaults.py b/graphrag/prompt_tune/generator/defaults.py new file mode 100644 index 00000000..5b42f813 --- /dev/null +++ b/graphrag/prompt_tune/generator/defaults.py @@ -0,0 +1,10 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Default values for the fine-tuning module.""" + +DEFAULT_TASK = """ +Identify the relations and structure of the community of interest, specifically within the {domain} domain. +""" + +MAX_TOKEN_COUNT = 2000 diff --git a/graphrag/prompt_tune/generator/domain.py b/graphrag/prompt_tune/generator/domain.py new file mode 100644 index 00000000..49c698d1 --- /dev/null +++ b/graphrag/prompt_tune/generator/domain.py @@ -0,0 +1,27 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Domain generation for GraphRAG prompts.""" + +from graphrag.llm.types.llm_types import CompletionLLM +from graphrag.prompt_tune.prompt.domain import GENERATE_DOMAIN_PROMPT + + +async def generate_domain(llm: CompletionLLM, docs: str | list[str]) -> str: + """Generate an LLM persona to use for GraphRAG prompts. + + Parameters + ---------- + - llm (CompletionLLM): The LLM to use for generation + - docs (str | list[str]): The domain to generate a persona for + + Returns + ------- + - str: The generated domain prompt response. + """ + docs_str = " ".join(docs) if isinstance(docs, list) else docs + domain_prompt = GENERATE_DOMAIN_PROMPT.format(input_text=docs_str) + + response = await llm(domain_prompt) + + return str(response.output) diff --git a/graphrag/prompt_tune/generator/entity_extraction_prompt.py b/graphrag/prompt_tune/generator/entity_extraction_prompt.py new file mode 100644 index 00000000..3866abf9 --- /dev/null +++ b/graphrag/prompt_tune/generator/entity_extraction_prompt.py @@ -0,0 +1,100 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Entity Extraction prompt generator module.""" + +from pathlib import Path + +from graphrag.index.utils.tokens import num_tokens_from_string +from graphrag.prompt_tune.template import ( + EXAMPLE_EXTRACTION_TEMPLATE, + GRAPH_EXTRACTION_JSON_PROMPT, + GRAPH_EXTRACTION_PROMPT, + UNTYPED_EXAMPLE_EXTRACTION_TEMPLATE, + UNTYPED_GRAPH_EXTRACTION_PROMPT, +) + +ENTITY_EXTRACTION_FILENAME = "entity_extraction.txt" + + +def create_entity_extraction_prompt( + entity_types: str | list[str] | None, + docs: list[str], + examples: list[str], + model_name: str, + max_token_count: int, + json_mode: bool = False, + output_path: Path | None = None, +) -> str: + """ + Create a prompt for entity extraction. + + Parameters + ---------- + - entity_types (str | list[str]): The entity types to extract + - docs (list[str]): The list of documents to extract entities from + - examples (list[str]): The list of examples to use for entity extraction + - model_name (str): The name of the model to use for token counting + - max_token_count (int): The maximum number of tokens to use for the prompt + - json_mode (bool): Whether to use JSON mode for the prompt. Default is False + - output_path (Path | None): The path to write the prompt to. Default is None. If None, the prompt is not written to a file. Default is None. + + Returns + ------- + - str: The entity extraction prompt + """ + prompt = ( + (GRAPH_EXTRACTION_JSON_PROMPT if json_mode else GRAPH_EXTRACTION_PROMPT) + if entity_types + else UNTYPED_GRAPH_EXTRACTION_PROMPT + ) + if isinstance(entity_types, list): + entity_types = ", ".join(entity_types) + + tokens_left = ( + max_token_count + - num_tokens_from_string(prompt, model=model_name) + - num_tokens_from_string(entity_types, model=model_name) + if entity_types + else 0 + ) + + examples_prompt = "" + + # Iterate over examples, while we have tokens left or examples left + for i, output in enumerate(examples): + input = docs[i] + example_formatted = ( + EXAMPLE_EXTRACTION_TEMPLATE.format( + n=i + 1, input_text=input, entity_types=entity_types, output=output + ) + if entity_types + else UNTYPED_EXAMPLE_EXTRACTION_TEMPLATE.format( + n=i + 1, input_text=input, output=output + ) + ) + + example_tokens = num_tokens_from_string(example_formatted, model=model_name) + + # Squeeze in at least one example + if i > 0 and example_tokens > tokens_left: + break + + examples_prompt += example_formatted + tokens_left -= example_tokens + + prompt = ( + prompt.format(entity_types=entity_types, examples=examples_prompt) + if entity_types + else prompt.format(examples=examples_prompt) + ) + + if output_path: + output_path.mkdir(parents=True, exist_ok=True) + + output_path = output_path / ENTITY_EXTRACTION_FILENAME + # Write file to output path + with output_path.open("w") as file: + file.write(prompt) + + return prompt diff --git a/graphrag/prompt_tune/generator/entity_relationship.py b/graphrag/prompt_tune/generator/entity_relationship.py new file mode 100644 index 00000000..71c646c1 --- /dev/null +++ b/graphrag/prompt_tune/generator/entity_relationship.py @@ -0,0 +1,62 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Entity relationship example generation module.""" + +import asyncio +import json + +from graphrag.llm.types.llm_types import CompletionLLM +from graphrag.prompt_tune.prompt import ( + ENTITY_RELATIONSHIPS_GENERATION_JSON_PROMPT, + ENTITY_RELATIONSHIPS_GENERATION_PROMPT, + UNTYPED_ENTITY_RELATIONSHIPS_GENERATION_PROMPT, +) + +MAX_EXAMPLES = 5 + + +async def generate_entity_relationship_examples( + llm: CompletionLLM, + persona: str, + entity_types: str | list[str] | None, + docs: str | list[str], + json_mode: bool = False, +) -> list[str]: + """Generate a list of entity/relationships examples for use in generating an entity configuration. + + Will return entity/relationships examples as either JSON or in tuple_delimiter format depending + on the json_mode parameter. + """ + docs_list = [docs] if isinstance(docs, str) else docs + history = [{"role": "system", "content": persona}] + + if entity_types: + entity_types_str = ( + entity_types if isinstance(entity_types, str) else ", ".join(entity_types) + ) + + messages = [ + ( + ENTITY_RELATIONSHIPS_GENERATION_JSON_PROMPT + if json_mode + else ENTITY_RELATIONSHIPS_GENERATION_PROMPT + ).format(entity_types=entity_types_str, input_text=doc) + for doc in docs_list + ] + else: + messages = [ + UNTYPED_ENTITY_RELATIONSHIPS_GENERATION_PROMPT.format(input_text=doc) + for doc in docs_list + ] + + messages = messages[:MAX_EXAMPLES] + + tasks = [llm(message, history=history, json=json_mode) for message in messages] + + responses = await asyncio.gather(*tasks) + + return [ + json.dumps(response.json or "") if json_mode else str(response.output) + for response in responses + ] diff --git a/graphrag/prompt_tune/generator/entity_summarization_prompt.py b/graphrag/prompt_tune/generator/entity_summarization_prompt.py new file mode 100644 index 00000000..779ce8d7 --- /dev/null +++ b/graphrag/prompt_tune/generator/entity_summarization_prompt.py @@ -0,0 +1,34 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Entity summarization prompt generation module.""" + +from pathlib import Path + +from graphrag.prompt_tune.template import ENTITY_SUMMARIZATION_PROMPT + +ENTITY_SUMMARIZATION_FILENAME = "summarize_descriptions.txt" + + +def create_entity_summarization_prompt( + persona: str, + output_path: Path | None = None, +) -> str: + """Create a prompt for entity summarization. If output_path is provided, write the prompt to a file. + + Parameters + ---------- + - persona (str): The persona to use for the entity summarization prompt + - output_path (Path | None): The path to write the prompt to. Default is None. If None, the prompt is not written to a file. Default is None. + """ + prompt = ENTITY_SUMMARIZATION_PROMPT.format(persona=persona) + + if output_path: + output_path.mkdir(parents=True, exist_ok=True) + + output_path = output_path / ENTITY_SUMMARIZATION_FILENAME + # Write file to output path + with output_path.open("w") as file: + file.write(prompt) + + return prompt diff --git a/graphrag/prompt_tune/generator/entity_types.py b/graphrag/prompt_tune/generator/entity_types.py new file mode 100644 index 00000000..42518acd --- /dev/null +++ b/graphrag/prompt_tune/generator/entity_types.py @@ -0,0 +1,45 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Entity type generation module for fine-tuning.""" + +from graphrag.llm.types.llm_types import CompletionLLM +from graphrag.prompt_tune.generator.defaults import DEFAULT_TASK +from graphrag.prompt_tune.prompt.entity_types import ( + ENTITY_TYPE_GENERATION_JSON_PROMPT, + ENTITY_TYPE_GENERATION_PROMPT, +) + + +async def generate_entity_types( + llm: CompletionLLM, + domain: str, + persona: str, + docs: str | list[str], + task: str = DEFAULT_TASK, + json_mode: bool = False, +) -> str | list[str]: + """ + Generate entity type categories from a given set of (small) documents. + + Example Output: + "entity_types": ['military unit', 'organization', 'person', 'location', 'event', 'date', 'equipment'] + """ + formatted_task = task.format(domain=domain) + + docs_str = "\n".join(docs) if isinstance(docs, list) else docs + + entity_types_prompt = ( + ENTITY_TYPE_GENERATION_JSON_PROMPT + if json_mode + else ENTITY_TYPE_GENERATION_PROMPT + ).format(task=formatted_task, input_text=docs_str) + + history = [{"role": "system", "content": persona}] + + response = await llm(entity_types_prompt, history=history, json=json_mode) + + if json_mode: + return (response.json or {}).get("entity_types", []) + + return str(response.output) diff --git a/graphrag/prompt_tune/generator/persona.py b/graphrag/prompt_tune/generator/persona.py new file mode 100644 index 00000000..cdd57a65 --- /dev/null +++ b/graphrag/prompt_tune/generator/persona.py @@ -0,0 +1,27 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Persona generating module for fine-tuning GraphRAG prompts.""" + +from graphrag.llm.types.llm_types import CompletionLLM +from graphrag.prompt_tune.generator.defaults import DEFAULT_TASK +from graphrag.prompt_tune.prompt import GENERATE_PERSONA_PROMPT + + +async def generate_persona( + llm: CompletionLLM, domain: str, task: str = DEFAULT_TASK +) -> str: + """Generate an LLM persona to use for GraphRAG prompts. + + Parameters + ---------- + - llm (CompletionLLM): The LLM to use for generation + - domain (str): The domain to generate a persona for + - task (str): The task to generate a persona for. Default is DEFAULT_TASK + """ + formatted_task = task.format(domain=domain) + persona_prompt = GENERATE_PERSONA_PROMPT.format(sample_task=formatted_task) + + response = await llm(persona_prompt) + + return str(response.output) diff --git a/graphrag/prompt_tune/loader/__init__.py b/graphrag/prompt_tune/loader/__init__.py new file mode 100644 index 00000000..94e64cbe --- /dev/null +++ b/graphrag/prompt_tune/loader/__init__.py @@ -0,0 +1,14 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Fine-tuning config and data loader module.""" + +from .config import read_config_parameters +from .input import MIN_CHUNK_OVERLAP, MIN_CHUNK_SIZE, load_docs_in_chunks + +__all__ = [ + "MIN_CHUNK_OVERLAP", + "MIN_CHUNK_SIZE", + "load_docs_in_chunks", + "read_config_parameters", +] diff --git a/graphrag/prompt_tune/loader/config.py b/graphrag/prompt_tune/loader/config.py new file mode 100644 index 00000000..db451156 --- /dev/null +++ b/graphrag/prompt_tune/loader/config.py @@ -0,0 +1,43 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Config loading, parsing and handling module.""" + +from pathlib import Path + +from graphrag.config import create_graphrag_config +from graphrag.index.progress.types import ProgressReporter + + +def read_config_parameters(root: str, reporter: ProgressReporter): + """Read the configuration parameters from the settings file or environment variables. + + Parameters + ---------- + - root: The root directory where the parameters are. + - reporter: The progress reporter. + """ + _root = Path(root) + settings_yaml = _root / "settings.yaml" + if not settings_yaml.exists(): + settings_yaml = _root / "settings.yml" + settings_json = _root / "settings.json" + + if settings_yaml.exists(): + reporter.info(f"Reading settings from {settings_yaml}") + with settings_yaml.open("r") as file: + import yaml + + data = yaml.safe_load(file) + return create_graphrag_config(data, root) + + if settings_json.exists(): + reporter.info(f"Reading settings from {settings_json}") + with settings_json.open("r") as file: + import json + + data = json.loads(file.read()) + return create_graphrag_config(data, root) + + reporter.info("Reading settings from environment variables") + return create_graphrag_config(root_dir=root) diff --git a/graphrag/prompt_tune/loader/input.py b/graphrag/prompt_tune/loader/input.py new file mode 100644 index 00000000..42f58c80 --- /dev/null +++ b/graphrag/prompt_tune/loader/input.py @@ -0,0 +1,59 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Input loading module.""" + +from typing import cast + +import pandas as pd +from datashaper import NoopVerbCallbacks, TableContainer, VerbInput + +from graphrag.config.models.graph_rag_config import GraphRagConfig +from graphrag.index.input import load_input +from graphrag.index.progress.types import ProgressReporter +from graphrag.index.verbs import chunk + +MIN_CHUNK_SIZE = 200 +MIN_CHUNK_OVERLAP = 0 + + +async def load_docs_in_chunks( + root: str, + config: GraphRagConfig, + select_method: str, + limit: int, + reporter: ProgressReporter, + chunk_size: int = MIN_CHUNK_SIZE, +) -> list[str]: + """Load docs into chunks for generating prompts.""" + dataset = await load_input(config.input, reporter, root) + + # covert to text units + input = VerbInput(input=TableContainer(table=dataset)) + chunk_strategy = config.chunks.resolved_strategy() + + # Use smaller chunks, to avoid huge prompts + chunk_strategy["chunk_size"] = chunk_size + chunk_strategy["chunk_overlap"] = MIN_CHUNK_OVERLAP + + dataset_chunks_table_container = chunk( + input, + column="text", + to="chunks", + callbacks=NoopVerbCallbacks(), + strategy=chunk_strategy, + ) + + dataset_chunks = cast(pd.DataFrame, dataset_chunks_table_container.table) + + # Select chunks into a new df and explode it + chunks_df = pd.DataFrame(dataset_chunks["chunks"].explode()) # type: ignore + + # Depending on the select method, build the dataset + if select_method == "top": + chunks_df = chunks_df[:limit] + elif select_method == "random": + chunks_df = chunks_df.sample(n=limit) + + # Convert the dataset to list form, so we have a list of documents + return chunks_df["chunks"].tolist() diff --git a/graphrag/prompt_tune/prompt/__init__.py b/graphrag/prompt_tune/prompt/__init__.py new file mode 100644 index 00000000..b1f5de15 --- /dev/null +++ b/graphrag/prompt_tune/prompt/__init__.py @@ -0,0 +1,28 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Persona, entity type, relationships and domain generation prompts module.""" + +from .community_reporter_role import GENERATE_COMMUNITY_REPORTER_ROLE_PROMPT +from .domain import GENERATE_DOMAIN_PROMPT +from .entity_relationship import ( + ENTITY_RELATIONSHIPS_GENERATION_JSON_PROMPT, + ENTITY_RELATIONSHIPS_GENERATION_PROMPT, + UNTYPED_ENTITY_RELATIONSHIPS_GENERATION_PROMPT, +) +from .entity_types import ( + ENTITY_TYPE_GENERATION_JSON_PROMPT, + ENTITY_TYPE_GENERATION_PROMPT, +) +from .persona import GENERATE_PERSONA_PROMPT + +__all__ = [ + "ENTITY_RELATIONSHIPS_GENERATION_JSON_PROMPT", + "ENTITY_RELATIONSHIPS_GENERATION_PROMPT", + "ENTITY_TYPE_GENERATION_JSON_PROMPT", + "ENTITY_TYPE_GENERATION_PROMPT", + "GENERATE_COMMUNITY_REPORTER_ROLE_PROMPT", + "GENERATE_DOMAIN_PROMPT", + "GENERATE_PERSONA_PROMPT", + "UNTYPED_ENTITY_RELATIONSHIPS_GENERATION_PROMPT", +] diff --git a/graphrag/prompt_tune/prompt/community_reporter_role.py b/graphrag/prompt_tune/prompt/community_reporter_role.py new file mode 100644 index 00000000..b667bc29 --- /dev/null +++ b/graphrag/prompt_tune/prompt/community_reporter_role.py @@ -0,0 +1,20 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Fine-tuning prompts for community reporter role generation.""" + +GENERATE_COMMUNITY_REPORTER_ROLE_PROMPT = """ +{persona} +Given a sample text, help the user by creating a role definition that will be tasked with community analysis. +Take a look at this example, determine its key parts, and using the domain provided and your expertise, create a new role definition for the provided inputs that follows the same pattern as the example. +Remember, your output should look just like the provided example in structure and content. + +Example: +A technologist reporter that is analyzing Kevin Scott's "Behind the Tech Podcast", given a list of entities +that belong to the community as well as their relationships and optional associated claims. +The report will be used to inform decision-makers about significant developments associated with the community and their potential impact. + + +Domain: {domain} +Text: {input_text} +Role:""" diff --git a/graphrag/prompt_tune/prompt/domain.py b/graphrag/prompt_tune/prompt/domain.py new file mode 100644 index 00000000..4b4587f8 --- /dev/null +++ b/graphrag/prompt_tune/prompt/domain.py @@ -0,0 +1,12 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Fine-tuning prompts for domain generation.""" + +GENERATE_DOMAIN_PROMPT = """ +You are an intelligent assistant that helps a human to analyze the information in a text document. +Given a sample text, help the user by assigning a descriptive domain that summarizes what the text is about. +Example domains are: "Social studies", "Algorithmic analysis", "Medical science", among others. + +Text: {input_text} +Domain:""" diff --git a/graphrag/prompt_tune/prompt/entity_relationship.py b/graphrag/prompt_tune/prompt/entity_relationship.py new file mode 100644 index 00000000..29ed2eb2 --- /dev/null +++ b/graphrag/prompt_tune/prompt/entity_relationship.py @@ -0,0 +1,132 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Fine-tuning prompts for entity relationship generation.""" + +ENTITY_RELATIONSHIPS_GENERATION_PROMPT = """ +-Goal- +Given a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities. + +-Steps- +1. Identify all entities. For each identified entity, extract the following information: +- entity_name: Name of the entity, capitalized +- entity_type: One of the following types: [{entity_types}] +- entity_description: Comprehensive description of the entity's attributes and activities +Format each entity, include the parenthesis at the beginning and end, as ("entity"{{tuple_delimiter}}{{tuple_delimiter}}{{tuple_delimiter}}) +for example: ("entity"{{tuple_delimiter}}"Microsoft"{{tuple_delimiter}}"organization"{{tuple_delimiter}}"Microsoft is a technology company") + +2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other. +For each pair of related entities, extract the following information: +- source_entity: name of the source entity, as identified in step 1 +- target_entity: name of the target entity, as identified in step 1 +- relationship_description: explanation as to why you think the source entity and the target entity are related to each other +- relationship_strength: an integer score between 1 to 10, indicating strength of the relationship between the source entity and target entity +Format each relationship, include the parenthesis at the beginning and end, as ("relationship"{{tuple_delimiter}}{{tuple_delimiter}}{{tuple_delimiter}}{{tuple_delimiter}}) +for example: ("relationship"{{tuple_delimiter}}"company A"{{tuple_delimiter}}"person A"{{tuple_delimiter}}"company A is currently owned by person A"{{tuple_delimiter}}8) + +3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **{{record_delimiter}}** as the list delimiter. + +4. When finished, output {{completion_delimiter}}. + +-Real Data- +###################### +entity_types: {entity_types} +text: {input_text} +###################### +output: +""" + +ENTITY_RELATIONSHIPS_GENERATION_JSON_PROMPT = """ +-Goal- +Given a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities. + +-Steps- +1. Identify all entities. For each identified entity, extract the following information: +- entity_name: Name of the entity, capitalized +- entity_type: One of the following types: [{entity_types}] +- entity_description: Comprehensive description of the entity's attributes and activities + +Format each entity output as a JSON entry with the following format: + +{{"name": , "type": , "description": }} + +2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other. +For each pair of related entities, extract the following information: +- source_entity: name of the source entity, as identified in step 1 +- target_entity: name of the target entity, as identified in step 1 +- relationship_description: explanation as to why you think the source entity and the target entity are related to each other +- relationship_strength: an integer score between 1 to 10, indicating strength of the relationship between the source entity and target entity + +Format each relationship as a JSON entry with the following format: + +{{"source": , "target": , "relationship": , "relationship_strength": }} + +3. Return output in English as a single list of all JSON entities and relationships identified in steps 1 and 2. + +-Real Data- +###################### +entity_types: {entity_types} +text: {input_text} +###################### +output: +""" + +UNTYPED_ENTITY_RELATIONSHIPS_GENERATION_PROMPT = """ +-Goal- +Given a text document that is potentially relevant to this activity, first identify all entities needed from the text in order to capture the information and ideas in the text. +Next, report all relationships among the identified entities. + +-Steps- +1. Identify all entities. For each identified entity, extract the following information: +- entity_name: Name of the entity, capitalized +- entity_type: Suggest several labels or categories for the entity. The categories should not be specific, but should be as general as possible. +- entity_description: Comprehensive description of the entity's attributes and activities +Format each entity as ("entity"{{tuple_delimiter}}{{tuple_delimiter}}{{tuple_delimiter}} + +2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other. +For each pair of related entities, extract the following information: +- source_entity: name of the source entity, as identified in step 1 +- target_entity: name of the target entity, as identified in step 1 +- relationship_description: explanation as to why you think the source entity and the target entity are related to each other +- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity + Format each relationship as ("relationship"{{tuple_delimiter}}{{tuple_delimiter}}{{tuple_delimiter}}{{tuple_delimiter}}) + +3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **{{record_delimiter}}** as the list delimiter. + +4. When finished, output {{completion_delimiter}} + +###################### +-Examples- +###################### +Text: +The Fed is scheduled to meet on Tuesday and Wednesday, with the central bank planning to release its latest policy decision on Wednesday at 2:00 p.m. ET, followed by a press conference where Fed Chair Jerome Powell will take questions. Investors expect the Federal Open Market Committee to hold its benchmark interest rate steady in a range of 5.25%-5.5%. +###################### +Output: +("entity"{{tuple_delimiter}}FED{{tuple_delimiter}}ORGANIZATION{{tuple_delimiter}}The Fed is the Federal Reserve, which is setting interest rates on Tuesday and Wednesday) +{{record_delimiter}} +("entity"{{tuple_delimiter}}JEROME POWELL{{tuple_delimiter}}PERSON{{tuple_delimiter}}Jerome Powell is the chair of the Federal Reserve) +{{record_delimiter}} +("entity"{{tuple_delimiter}}FEDERAL OPEN MARKET COMMITTEE{{tuple_delimiter}}ORGANIZATION{{tuple_delimiter}}The Federal Reserve committee makes key decisions about interest rates and the growth of the United States money supply) +{{record_delimiter}} +("relationship"{{tuple_delimiter}}JEROME POWELL{{tuple_delimiter}}FED{{tuple_delimiter}}Jerome Powell is the Chair of the Federal Reserve and will answer questions at a press conference{{tuple_delimiter}}9) +{{completion_delimiter}} +###################### +Text: +Arm's (ARM) stock skyrocketed in its opening day on the Nasdaq Thursday. But IPO experts warn that the British chipmaker's debut on the public markets isn't indicative of how other newly listed companies may perform. + +Arm, a formerly public company, was taken private by SoftBank in 2016. The well-established chip designer says it powers 99% of premium smartphones. +###################### +Output: +("entity"{{tuple_delimiter}}ARM{{tuple_delimiter}}ORGANIZATION, COMPANY{{tuple_delimiter}}Arm is a stock now listed on the Nasdaq which powers 99% of premium smartphones) +{{record_delimiter}} +("entity"{{tuple_delimiter}}SOFTBANK{{tuple_delimiter}}ORGANIZATION, COMPANY{{tuple_delimiter}}SoftBank is a firm that previously owned Arm) +{{record_delimiter}} +("relationship"{{tuple_delimiter}}ARM{{tuple_delimiter}}SOFTBANK{{tuple_delimiter}}SoftBank formerly owned Arm from 2016 until present{{tuple_delimiter}}5) +{{completion_delimiter}} +###################### +-Real Data- +###################### +Text: {input_text} +###################### +Output: +""" diff --git a/graphrag/prompt_tune/prompt/entity_types.py b/graphrag/prompt_tune/prompt/entity_types.py new file mode 100644 index 00000000..99b21db6 --- /dev/null +++ b/graphrag/prompt_tune/prompt/entity_types.py @@ -0,0 +1,89 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Fine-tuning prompts for entity types generation.""" + +ENTITY_TYPE_GENERATION_PROMPT = """ +The goal is to study the connections and relations between the entity types and their features in order to understand all available information from the text. +The user's task is to {task}. +As part of the analysis, you want to identify the entity types present in the following text. +The entity types must be relevant to the user task. +Avoid general entity types such as "other" or "unknown". +This is VERY IMPORTANT: Do not generate redundant or overlapping entity types. For example, if the text contains "company" and "organization" entity types, you should return only one of them. +Don't worry about quantity, always choose quality over quantity. And make sure EVERYTHING in your answer is relevant to the context of entity extraction. +And remember, it is ENTITY TYPES what we need. +Return the entity types in as a list of comma sepparated of strings. +===================================================================== +EXAMPLE SECTION: The following section includes example output. These examples **must be excluded from your answer**. + +EXAMPLE 1 +Task: Determine the connections and organizational hierarchy within the specified community. +Text: Example_Org_A is a company in Sweden. Example_Org_A's director is Example_Individual_B. +RESPONSE: +organization, person +END OF EXAMPLE 1 + +EXAMPLE 2 +Task: Identify the key concepts, principles, and arguments shared among different philosophical schools of thought, and trace the historical or ideological influences they have on each other. +Text: Rationalism, epitomized by thinkers such as René Descartes, holds that reason is the primary source of knowledge. Key concepts within this school include the emphasis on the deductive method of reasoning. +RESPONSE: +concept, person, school of thought +END OF EXAMPLE 2 + +EXAMPLE 3 +Task: Identify the full range of basic forces, factors, and trends that would indirectly shape an issue. +Text: Industry leaders such as Panasonic are vying for supremacy in the battery production sector. They are investing heavily in research and development and are exploring new technologies to gain a competitive edge. +RESPONSE: +organization, technology, sectors, investment strategies +END OF EXAMPLE 3 +====================================================================== + +====================================================================== +REAL DATA: The following section is the real data. You should use only this real data to prepare your answer. Generate Entity Types only. +Task: {task} +Text: {input_text} +RESPONSE: +{{}} +""" + +ENTITY_TYPE_GENERATION_JSON_PROMPT = """ +The goal is to study the connections and relations between the entity types and their features in order to understand all available information from the text. +The user's task is to {task}. +As part of the analysis, you want to identify the entity types present in the following text. +The entity types must be relevant to the user task. +Avoid general entity types such as "other" or "unknown". +This is VERY IMPORTANT: Do not generate redundant or overlapping entity types. For example, if the text contains "company" and "organization" entity types, you should return only one of them. +Don't worry about quantity, always choose quality over quantity. And make sure EVERYTHING in your answer is relevant to the context of entity extraction. +Return the entity types in JSON format with "entities" as the key and the entity types as an array of strings. +===================================================================== +EXAMPLE SECTION: The following section includes example output. These examples **must be excluded from your answer**. + +EXAMPLE 1 +Task: Determine the connections and organizational hierarchy within the specified community. +Text: Example_Org_A is a company in Sweden. Example_Org_A's director is Example_Individual_B. +JSON RESPONSE: +{{"entity_types": [organization, person] }} +END OF EXAMPLE 1 + +EXAMPLE 2 +Task: Identify the key concepts, principles, and arguments shared among different philosophical schools of thought, and trace the historical or ideological influences they have on each other. +Text: Rationalism, epitomized by thinkers such as René Descartes, holds that reason is the primary source of knowledge. Key concepts within this school include the emphasis on the deductive method of reasoning. +JSON RESPONSE: +{{"entity_types": [concept, person, school of thought] }} +END OF EXAMPLE 2 + +EXAMPLE 3 +Task: Identify the full range of basic forces, factors, and trends that would indirectly shape an issue. +Text: Industry leaders such as Panasonic are vying for supremacy in the battery production sector. They are investing heavily in research and development and are exploring new technologies to gain a competitive edge. +JSON RESPONSE: +{{"entity_types": [organization, technology, sectors, investment strategies] }} +END OF EXAMPLE 3 +====================================================================== + +====================================================================== +REAL DATA: The following section is the real data. You should use only this real data to prepare your answer. Generate Entity Types only. +Task: {task} +Text: {input_text} +JSON response: +{{"entity_types": [] }} +""" diff --git a/graphrag/prompt_tune/prompt/persona.py b/graphrag/prompt_tune/prompt/persona.py new file mode 100644 index 00000000..58515fd2 --- /dev/null +++ b/graphrag/prompt_tune/prompt/persona.py @@ -0,0 +1,13 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Fine-tuning prompts for persona generation.""" + +GENERATE_PERSONA_PROMPT = """ +You are an intelligent assistant that helps a human to analyze the information in a text document. +Given a specific type of task and sample text, help the user by generating a 3 to 4 sentence description of an expert who could help solve the problem. +Use a format similar to the following: +You are an expert {{role}}. You are skilled at {{relevant skills}}. You are adept at helping people with {{specific task}}. + +task: {sample_task} +persona description:""" diff --git a/graphrag/prompt_tune/template/__init__.py b/graphrag/prompt_tune/template/__init__.py new file mode 100644 index 00000000..e056762f --- /dev/null +++ b/graphrag/prompt_tune/template/__init__.py @@ -0,0 +1,24 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Fine-tuning prompts for entity extraction, entity summarization, and community report summarization.""" + +from .community_report_summarization import COMMUNITY_REPORT_SUMMARIZATION_PROMPT +from .entity_extraction import ( + EXAMPLE_EXTRACTION_TEMPLATE, + GRAPH_EXTRACTION_JSON_PROMPT, + GRAPH_EXTRACTION_PROMPT, + UNTYPED_EXAMPLE_EXTRACTION_TEMPLATE, + UNTYPED_GRAPH_EXTRACTION_PROMPT, +) +from .entity_summarization import ENTITY_SUMMARIZATION_PROMPT + +__all__ = [ + "COMMUNITY_REPORT_SUMMARIZATION_PROMPT", + "ENTITY_SUMMARIZATION_PROMPT", + "EXAMPLE_EXTRACTION_TEMPLATE", + "GRAPH_EXTRACTION_JSON_PROMPT", + "GRAPH_EXTRACTION_PROMPT", + "UNTYPED_EXAMPLE_EXTRACTION_TEMPLATE", + "UNTYPED_GRAPH_EXTRACTION_PROMPT", +] diff --git a/graphrag/prompt_tune/template/community_report_summarization.py b/graphrag/prompt_tune/template/community_report_summarization.py new file mode 100644 index 00000000..5d909fef --- /dev/null +++ b/graphrag/prompt_tune/template/community_report_summarization.py @@ -0,0 +1,96 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Fine-tuning prompts for community report summarization.""" + +COMMUNITY_REPORT_SUMMARIZATION_PROMPT = """ +{persona} + +# Goal +Write a comprehensive assessment report of a community taking on the role of a {role}. The content of this report includes an overview of the community's key entities, their legal compliance, technical capabilities, +reputation, and noteworthy claims. + +# Report Structure +The report should include the following sections: +- TITLE: community's name that represents its key entities - title should be short but specific. When possible, include representative named entities in the title. +- SUMMARY: An executive summary of the community's overall structure, how its entities are related to each other, and significant threats associated with its entities. +- THREAT SEVERITY RATING: a float score between 0-10 that represents the potential global impact to humanity as posed by entities within the community. +- RATING EXPLANATION: Give a single sentence explanation of the threat severity rating. +- DETAILED FINDINGS: A list of 5-10 key insights about the community. Each insight should have a short summary followed by multiple paragraphs of explanatory text grounded according to the grounding rules below. Be comprehensive. + +Return output as a well-formed JSON-formatted string with the following format. Don't use any unnecessary escape sequences. The output should be a single JSON object that can be parsed by json.loads. + {{ + "title": "", + "summary": "", + "rating": , + "rating_explanation": "" + "findings": "[{{"summary":"", "explanation": "", "explanation": " (, ... ()]. If there are more than 10 data records, show the top 10 most relevant records. +Each paragraph should contain multiple sentences of explanation and concrete examples with specific named entities. All paragraphs must have these references at the start and end. Use "NONE" if there are no related roles or records. + +Example paragraph with references added: +This is a paragraph of the output text [records: Entities (1, 2, 3), Claims (2, 5), Relationships (10, 12)] + +# Example Input +----------- +Text: + +Entities + +id,entity,description +5,ABILA CITY PARK,Abila City Park is the location of the POK rally + +Relationships + +id,source,target,description +37,ABILA CITY PARK,POK RALLY,Abila City Park is the location of the POK rally +38,ABILA CITY PARK,POK,POK is holding a rally in Abila City Park +39,ABILA CITY PARK,POKRALLY,The POKRally is taking place at Abila City Park +40,ABILA CITY PARK,CENTRAL BULLETIN,Central Bulletin is reporting on the POK rally taking place in Abila City Park + +Output: +{{ + "title": "Abila City Park and POK Rally", + "summary": "The community revolves around the Abila City Park, which is the location of the POK rally. The park has relationships with POK, POKRALLY, and Central Bulletin, all +of which are associated with the rally event.", + "rating": 5.0, + "rating_explanation": "The impact rating is moderate due to the potential for unrest or conflict during the POK rally.", + "findings": [ + {{ + "summary": "Abila City Park as the central location", + "explanation": "Abila City Park is the central entity in this community, serving as the location for the POK rally. This park is the common link between all other +entities, suggesting its significance in the community. The park's association with the rally could potentially lead to issues such as public disorder or conflict, depending on the +nature of the rally and the reactions it provokes. [records: Entities (5), Relationships (37, 38, 39, 40)]" + }}, + {{ + "summary": "POK's role in the community", + "explanation": "POK is another key entity in this community, being the organizer of the rally at Abila City Park. The nature of POK and its rally could be a potential +source of threat, depending on their objectives and the reactions they provoke. The relationship between POK and the park is crucial in understanding the dynamics of this community. +[records: Relationships (38)]" + }}, + {{ + "summary": "POKRALLY as a significant event", + "explanation": "The POKRALLY is a significant event taking place at Abila City Park. This event is a key factor in the community's dynamics and could be a potential +source of threat, depending on the nature of the rally and the reactions it provokes. The relationship between the rally and the park is crucial in understanding the dynamics of this +community. [records: Relationships (39)]" + }}, + {{ + "summary": "Role of Central Bulletin", + "explanation": "Central Bulletin is reporting on the POK rally taking place in Abila City Park. This suggests that the event has attracted media attention, which could +amplify its impact on the community. The role of Central Bulletin could be significant in shaping public perception of the event and the entities involved. [records: Relationships +(40)]" + }} + ] + +}} + +# Real Data + +Use the following text for your answer. Do not make anything up in your answer. + +Text: +{{input_text}} +Output:""" diff --git a/graphrag/prompt_tune/template/entity_extraction.py b/graphrag/prompt_tune/template/entity_extraction.py new file mode 100644 index 00000000..8916d622 --- /dev/null +++ b/graphrag/prompt_tune/template/entity_extraction.py @@ -0,0 +1,136 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Fine-tuning prompts for entity extraction.""" + +GRAPH_EXTRACTION_PROMPT = """ +-Goal- +Given a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities. + +-Steps- +1. Identify all entities. For each identified entity, extract the following information: +- entity_name: Name of the entity, capitalized +- entity_type: One of the following types: [{entity_types}] +- entity_description: Comprehensive description of the entity's attributes and activities +Format each entity as ("entity"{{tuple_delimiter}}{{tuple_delimiter}}{{tuple_delimiter}} + +2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other. +For each pair of related entities, extract the following information: +- source_entity: name of the source entity, as identified in step 1 +- target_entity: name of the target entity, as identified in step 1 +- relationship_description: explanation as to why you think the source entity and the target entity are related to each other +- relationship_strength: an integer score between 1 to 10, indicating strength of the relationship between the source entity and target entity + +Format each relationship as ("relationship"{{tuple_delimiter}}{{tuple_delimiter}}{{tuple_delimiter}}{{tuple_delimiter}}) + +3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **{{record_delimiter}}** as the list delimiter. + +4. When finished, output {{completion_delimiter}} + +-Examples- +###################### +{examples} + +-Real Data- +###################### +entity_types: [{entity_types}] +text: {{input_text}} +###################### +output:""" + +GRAPH_EXTRACTION_JSON_PROMPT = """ +-Goal- +Given a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities. + +-Steps- +1. Identify all entities. For each identified entity, extract the following information: +- entity_name: Name of the entity, capitalized +- entity_type: One of the following types: [{entity_types}] +- entity_description: Comprehensive description of the entity's attributes and activities +Format each entity output as a JSON entry with the following format: + +{{"name": , "type": , "description": }} + +2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other. +For each pair of related entities, extract the following information: +- source_entity: name of the source entity, as identified in step 1 +- target_entity: name of the target entity, as identified in step 1 +- relationship_description: explanation as to why you think the source entity and the target entity are related to each other +- relationship_strength: an integer score between 1 to 10, indicating strength of the relationship between the source entity and target entity +Format each relationship as a JSON entry with the following format: + +{{"source": , "target": , "relationship": , "relationship_strength": }} + +3. Return output in English as a single list of all JSON entities and relationships identified in steps 1 and 2. + +-Examples- +###################### +{examples} + +-Real Data- +###################### +entity_types: {entity_types} +text: {{input_text}} +###################### +output:""" + +EXAMPLE_EXTRACTION_TEMPLATE = """ +Example {n}: + +entity_types: [{entity_types}] +text: +{input_text} +------------------------ +output: +{output} +############################# + +""" + +UNTYPED_EXAMPLE_EXTRACTION_TEMPLATE = """ +Example {n}: + +text: +{input_text} +------------------------ +output: +{output} +############################# + +""" + + +UNTYPED_GRAPH_EXTRACTION_PROMPT = """ +-Goal- +Given a text document that is potentially relevant to this activity, first identify all entities needed from the text in order to capture the information and ideas in the text. +Next, report all relationships among the identified entities. + +-Steps- +1. Identify all entities. For each identified entity, extract the following information: +- entity_name: Name of the entity, capitalized +- entity_type: Suggest several labels or categories for the entity. The categories should not be specific, but should be as general as possible. +- entity_description: Comprehensive description of the entity's attributes and activities +Format each entity as ("entity"{{tuple_delimiter}}{{tuple_delimiter}}{{tuple_delimiter}} + +2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other. +For each pair of related entities, extract the following information: +- source_entity: name of the source entity, as identified in step 1 +- target_entity: name of the target entity, as identified in step 1 +- relationship_description: explanation as to why you think the source entity and the target entity are related to each other +- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity + Format each relationship as ("relationship"{{tuple_delimiter}}{{tuple_delimiter}}{{tuple_delimiter}}{{tuple_delimiter}}) + +3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **{{record_delimiter}}** as the list delimiter. + +4. When finished, output {{completion_delimiter}} + +-Examples- +###################### +{examples} + +-Real Data- +###################### +text: {{input_text}} +###################### +output: +""" diff --git a/graphrag/prompt_tune/template/entity_summarization.py b/graphrag/prompt_tune/template/entity_summarization.py new file mode 100644 index 00000000..be926e19 --- /dev/null +++ b/graphrag/prompt_tune/template/entity_summarization.py @@ -0,0 +1,22 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Fine-tuning prompts for entity summarization.""" + +ENTITY_SUMMARIZATION_PROMPT = """ +{persona} +Using your expertise, you're asked to generate a comprehensive summary of the data provided below. +Given one or two entities, and a list of descriptions, all related to the same entity or group of entities. +Please concatenate all of these into a single, concise description. Make sure to include information collected from all the descriptions. +If the provided descriptions are contradictory, please resolve the contradictions and provide a single, coherent summary. +Make sure it is written in third person, and include the entity names so we the have full context. + +Enrich it as much as you can with relevant information from the nearby text, this is very important. + +If no answer is possible, or the description is empty, only convey information that is provided within the text. +####### +-Data- +Entities: {{entity_name}} +Description List: {{description_list}} +####### +Output:""" diff --git a/graphrag/query/__init__.py b/graphrag/query/__init__.py new file mode 100644 index 00000000..58a557f8 --- /dev/null +++ b/graphrag/query/__init__.py @@ -0,0 +1,4 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""GraphRAG Orchestration Module.""" diff --git a/graphrag/query/__main__.py b/graphrag/query/__main__.py new file mode 100644 index 00000000..03eb1b62 --- /dev/null +++ b/graphrag/query/__main__.py @@ -0,0 +1,91 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The Query Engine package root.""" + +import argparse +from enum import Enum + +from .cli import run_global_search, run_local_search + +INVALID_METHOD_ERROR = "Invalid method" + + +class SearchType(Enum): + """The type of search to run.""" + + LOCAL = "local" + GLOBAL = "global" + + def __str__(self): + """Return the string representation of the enum value.""" + return self.value + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + + parser.add_argument( + "--data", + help="The path with the output data from the pipeline", + required=False, + type=str, + ) + + parser.add_argument( + "--root", + help="The data project root.", + required=False, + type=str, + ) + + parser.add_argument( + "--method", + help="The method to run, one of: local or global", + required=True, + type=SearchType, + choices=list(SearchType), + ) + + parser.add_argument( + "--community_level", + help="Community level in the Leiden community hierarchy from which we will load the community reports higher value means we use reports on smaller communities", + type=int, + default=2, + ) + + parser.add_argument( + "--response_type", + help="Free form text describing the response type and format, can be anything, e.g. Multiple Paragraphs, Single Paragraph, Single Sentence, List of 3-7 Points, Single Page, Multi-Page Report", + type=str, + default="Multiple Paragraphs", + ) + + parser.add_argument( + "query", + nargs=1, + help="The query to run", + type=str, + ) + + args = parser.parse_args() + + match args.method: + case SearchType.LOCAL: + run_local_search( + args.data, + args.root, + args.community_level, + args.response_type, + args.query[0], + ) + case SearchType.GLOBAL: + run_global_search( + args.data, + args.root, + args.community_level, + args.response_type, + args.query[0], + ) + case _: + raise ValueError(INVALID_METHOD_ERROR) diff --git a/graphrag/query/cli.py b/graphrag/query/cli.py new file mode 100644 index 00000000..aef7c296 --- /dev/null +++ b/graphrag/query/cli.py @@ -0,0 +1,212 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Command line interface for the query module.""" + +import os +from pathlib import Path +from typing import cast + +import pandas as pd + +from graphrag.config import ( + GraphRagConfig, + create_graphrag_config, +) +from graphrag.index.progress import PrintProgressReporter +from graphrag.query.input.loaders.dfs import ( + store_entity_semantic_embeddings, +) +from graphrag.vector_stores import VectorStoreFactory, VectorStoreType + +from .factories import get_global_search_engine, get_local_search_engine +from .indexer_adapters import ( + read_indexer_covariates, + read_indexer_entities, + read_indexer_relationships, + read_indexer_reports, + read_indexer_text_units, +) + +reporter = PrintProgressReporter("") + + +def __get_embedding_description_store( + vector_store_type: str = VectorStoreType.LanceDB, config_args: dict | None = None +): + """Get the embedding description store.""" + if not config_args: + config_args = {} + + config_args.update({ + "collection_name": config_args.get( + "query_collection_name", + config_args.get("collection_name", "description_embedding"), + ), + }) + + description_embedding_store = VectorStoreFactory.get_vector_store( + vector_store_type=vector_store_type, kwargs=config_args + ) + + description_embedding_store.connect(**config_args) + return description_embedding_store + + +def run_global_search( + data_dir: str | None, + root_dir: str | None, + community_level: int, + response_type: str, + query: str, +): + """Run a global search with the given query.""" + data_dir, root_dir, config = _configure_paths_and_settings(data_dir, root_dir) + data_path = Path(data_dir) + + final_nodes: pd.DataFrame = pd.read_parquet( + data_path / "create_final_nodes.parquet" + ) + final_entities: pd.DataFrame = pd.read_parquet( + data_path / "create_final_entities.parquet" + ) + final_community_reports: pd.DataFrame = pd.read_parquet( + data_path / "create_final_community_reports.parquet" + ) + + reports = read_indexer_reports( + final_community_reports, final_nodes, community_level + ) + entities = read_indexer_entities(final_nodes, final_entities, community_level) + search_engine = get_global_search_engine( + config, + reports=reports, + entities=entities, + response_type=response_type, + ) + + result = search_engine.search(query=query) + + reporter.success(f"Global Search Response: {result.response}") + return result.response + + +def run_local_search( + data_dir: str | None, + root_dir: str | None, + community_level: int, + response_type: str, + query: str, +): + """Run a local search with the given query.""" + data_dir, root_dir, config = _configure_paths_and_settings(data_dir, root_dir) + data_path = Path(data_dir) + + final_nodes = pd.read_parquet(data_path / "create_final_nodes.parquet") + final_community_reports = pd.read_parquet( + data_path / "create_final_community_reports.parquet" + ) + final_text_units = pd.read_parquet(data_path / "create_final_text_units.parquet") + final_relationships = pd.read_parquet( + data_path / "create_final_relationships.parquet" + ) + final_nodes = pd.read_parquet(data_path / "create_final_nodes.parquet") + final_entities = pd.read_parquet(data_path / "create_final_entities.parquet") + final_covariates_path = data_path / "create_final_covariates.parquet" + final_covariates = ( + pd.read_parquet(final_covariates_path) + if final_covariates_path.exists() + else None + ) + + vector_store_args = ( + config.embeddings.vector_store if config.embeddings.vector_store else {} + ) + vector_store_type = vector_store_args.get("type", VectorStoreType.LanceDB) + + description_embedding_store = __get_embedding_description_store( + vector_store_type=vector_store_type, + config_args=vector_store_args, + ) + entities = read_indexer_entities(final_nodes, final_entities, community_level) + store_entity_semantic_embeddings( + entities=entities, vectorstore=description_embedding_store + ) + covariates = ( + read_indexer_covariates(final_covariates) + if final_covariates is not None + else [] + ) + + search_engine = get_local_search_engine( + config, + reports=read_indexer_reports( + final_community_reports, final_nodes, community_level + ), + text_units=read_indexer_text_units(final_text_units), + entities=entities, + relationships=read_indexer_relationships(final_relationships), + covariates={"claims": covariates}, + description_embedding_store=description_embedding_store, + response_type=response_type, + ) + + result = search_engine.search(query=query) + reporter.success(f"Local Search Response: {result.response}") + return result.response + + +def _configure_paths_and_settings( + data_dir: str | None, root_dir: str | None +) -> tuple[str, str | None, GraphRagConfig]: + if data_dir is None and root_dir is None: + msg = "Either data_dir or root_dir must be provided." + raise ValueError(msg) + if data_dir is None: + data_dir = _infer_data_dir(cast(str, root_dir)) + config = _create_graphrag_config(root_dir, data_dir) + return data_dir, root_dir, config + + +def _infer_data_dir(root: str) -> str: + output = Path(root) / "output" + # use the latest data-run folder + if output.exists(): + folders = sorted(output.iterdir(), key=os.path.getmtime, reverse=True) + if len(folders) > 0: + folder = folders[0] + return str((folder / "artifacts").absolute()) + msg = f"Could not infer data directory from root={root}" + raise ValueError(msg) + + +def _create_graphrag_config(root: str | None, data_dir: str | None) -> GraphRagConfig: + """Create a GraphRag configuration.""" + return _read_config_parameters(cast(str, root or data_dir)) + + +def _read_config_parameters(root: str): + _root = Path(root) + settings_yaml = _root / "settings.yaml" + if not settings_yaml.exists(): + settings_yaml = _root / "settings.yml" + settings_json = _root / "settings.json" + + if settings_yaml.exists(): + reporter.info(f"Reading settings from {settings_yaml}") + with settings_yaml.open("r") as file: + import yaml + + data = yaml.safe_load(file) + return create_graphrag_config(data, root) + + if settings_json.exists(): + reporter.info(f"Reading settings from {settings_json}") + with settings_json.open("r") as file: + import json + + data = json.loads(file.read()) + return create_graphrag_config(data, root) + + reporter.info("Reading settings from environment variables") + return create_graphrag_config(root_dir=root) diff --git a/graphrag/query/context_builder/__init__.py b/graphrag/query/context_builder/__init__.py new file mode 100644 index 00000000..7e27364e --- /dev/null +++ b/graphrag/query/context_builder/__init__.py @@ -0,0 +1,4 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Functions to build context for system prompt to generate responses for a user query.""" diff --git a/graphrag/query/context_builder/builders.py b/graphrag/query/context_builder/builders.py new file mode 100644 index 00000000..7a4ba277 --- /dev/null +++ b/graphrag/query/context_builder/builders.py @@ -0,0 +1,35 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Base classes for global and local context builders.""" + +from abc import ABC, abstractmethod + +import pandas as pd + +from graphrag.query.context_builder.conversation_history import ( + ConversationHistory, +) + + +class GlobalContextBuilder(ABC): + """Base class for global-search context builders.""" + + @abstractmethod + def build_context( + self, conversation_history: ConversationHistory | None = None, **kwargs + ) -> tuple[str | list[str], dict[str, pd.DataFrame]]: + """Build the context for the global search mode.""" + + +class LocalContextBuilder(ABC): + """Base class for local-search context builders.""" + + @abstractmethod + def build_context( + self, + query: str, + conversation_history: ConversationHistory | None = None, + **kwargs, + ) -> tuple[str | list[str], dict[str, pd.DataFrame]]: + """Build the context for the local search mode.""" diff --git a/graphrag/query/context_builder/community_context.py b/graphrag/query/context_builder/community_context.py new file mode 100644 index 00000000..dba7f729 --- /dev/null +++ b/graphrag/query/context_builder/community_context.py @@ -0,0 +1,241 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Community Context.""" + +import logging +import random +from typing import Any, cast + +import pandas as pd +import tiktoken + +from graphrag.model import CommunityReport, Entity +from graphrag.query.llm.text_utils import num_tokens + +log = logging.getLogger(__name__) + + +def build_community_context( + community_reports: list[CommunityReport], + entities: list[Entity] | None = None, + token_encoder: tiktoken.Encoding | None = None, + use_community_summary: bool = True, + column_delimiter: str = "|", + shuffle_data: bool = True, + include_community_rank: bool = False, + min_community_rank: int = 0, + community_rank_name: str = "rank", + include_community_weight: bool = True, + community_weight_name: str = "occurrence weight", + normalize_community_weight: bool = True, + max_tokens: int = 8000, + single_batch: bool = True, + context_name: str = "Reports", + random_state: int = 86, +) -> tuple[str | list[str], dict[str, pd.DataFrame]]: + """ + Prepare community report data table as context data for system prompt. + + If entities are provided, the community weight is calculated as the count of text units associated with entities within the community. + + The calculated weight is added as an attribute to the community reports and added to the context data table. + """ + if ( + entities + and len(community_reports) > 0 + and include_community_weight + and ( + community_reports[0].attributes is None + or community_weight_name not in community_reports[0].attributes + ) + ): + log.info("Computing community weights...") + community_reports = _compute_community_weights( + community_reports=community_reports, + entities=entities, + weight_attribute=community_weight_name, + normalize=normalize_community_weight, + ) + + selected_reports = [ + report + for report in community_reports + if report.rank and report.rank >= min_community_rank + ] + if selected_reports is None or len(selected_reports) == 0: + return ([], {}) + + if shuffle_data: + random.seed(random_state) + random.shuffle(selected_reports) + + # add context header + current_context_text = f"-----{context_name}-----" + "\n" + + # add header + header = ["id", "title"] + attribute_cols = ( + list(selected_reports[0].attributes.keys()) + if selected_reports[0].attributes + else [] + ) + attribute_cols = [col for col in attribute_cols if col not in header] + if not include_community_weight: + attribute_cols = [col for col in attribute_cols if col != community_weight_name] + header.extend(attribute_cols) + header.append("summary" if use_community_summary else "content") + if include_community_rank: + header.append(community_rank_name) + + current_context_text += column_delimiter.join(header) + "\n" + current_tokens = num_tokens(current_context_text, token_encoder) + current_context_records = [header] + all_context_text = [] + all_context_records = [] + + for report in selected_reports: + new_context = [ + report.short_id, + report.title, + *[ + str(report.attributes.get(field, "")) if report.attributes else "" + for field in attribute_cols + ], + ] + new_context.append( + report.summary if use_community_summary else report.full_content + ) + if include_community_rank: + new_context.append(str(report.rank)) + new_context_text = column_delimiter.join(new_context) + "\n" + + new_tokens = num_tokens(new_context_text, token_encoder) + if current_tokens + new_tokens > max_tokens: + # convert the current context records to pandas dataframe and sort by weight and rank if exist + if len(current_context_records) > 1: + record_df = _convert_report_context_to_df( + context_records=current_context_records[1:], + header=current_context_records[0], + weight_column=community_weight_name + if entities and include_community_weight + else None, + rank_column=community_rank_name if include_community_rank else None, + ) + + else: + record_df = pd.DataFrame() + current_context_text = record_df.to_csv(index=False, sep=column_delimiter) + + if single_batch: + return current_context_text, {context_name.lower(): record_df} + + all_context_text.append(current_context_text) + all_context_records.append(record_df) + + # start a new batch + current_context_text = ( + f"-----{context_name}-----" + + "\n" + + column_delimiter.join(header) + + "\n" + ) + current_tokens = num_tokens(current_context_text, token_encoder) + current_context_records = [header] + else: + current_context_text += new_context_text + current_tokens += new_tokens + current_context_records.append(new_context) + + # add the last batch if it has not been added + if current_context_text not in all_context_text: + if len(current_context_records) > 1: + record_df = _convert_report_context_to_df( + context_records=current_context_records[1:], + header=current_context_records[0], + weight_column=community_weight_name + if entities and include_community_weight + else None, + rank_column=community_rank_name if include_community_rank else None, + ) + else: + record_df = pd.DataFrame() + all_context_records.append(record_df) + current_context_text = record_df.to_csv(index=False, sep=column_delimiter) + all_context_text.append(current_context_text) + + return all_context_text, { + context_name.lower(): pd.concat(all_context_records, ignore_index=True) + } + + +def _compute_community_weights( + community_reports: list[CommunityReport], + entities: list[Entity], + weight_attribute: str = "occurrence", + normalize: bool = True, +) -> list[CommunityReport]: + """Calculate a community's weight as count of text units associated with entities within the community.""" + community_text_units = {} + for entity in entities: + if entity.community_ids: + for community_id in entity.community_ids: + if community_id not in community_text_units: + community_text_units[community_id] = [] + community_text_units[community_id].extend(entity.text_unit_ids) + for report in community_reports: + if not report.attributes: + report.attributes = {} + report.attributes[weight_attribute] = len( + set(community_text_units.get(report.community_id, [])) + ) + if normalize: + # normalize by max weight + all_weights = [ + report.attributes[weight_attribute] + for report in community_reports + if report.attributes + ] + max_weight = max(all_weights) + for report in community_reports: + if report.attributes: + report.attributes[weight_attribute] = ( + report.attributes[weight_attribute] / max_weight + ) + return community_reports + + +def _rank_report_context( + report_df: pd.DataFrame, + weight_column: str | None = "occurrence weight", + rank_column: str | None = "rank", +) -> pd.DataFrame: + """Sort report context by community weight and rank if exist.""" + rank_attributes = [] + if weight_column: + rank_attributes.append(weight_column) + report_df[weight_column] = report_df[weight_column].astype(float) + if rank_column: + rank_attributes.append(rank_column) + report_df[rank_column] = report_df[rank_column].astype(float) + if len(rank_attributes) > 0: + report_df.sort_values(by=rank_attributes, ascending=False, inplace=True) + return report_df + + +def _convert_report_context_to_df( + context_records: list[list[str]], + header: list[str], + weight_column: str | None = None, + rank_column: str | None = None, +) -> pd.DataFrame: + """Convert report context records to pandas dataframe and sort by weight and rank if exist.""" + record_df = pd.DataFrame( + context_records, + columns=cast(Any, header), + ) + return _rank_report_context( + report_df=record_df, + weight_column=weight_column, + rank_column=rank_column, + ) diff --git a/graphrag/query/context_builder/conversation_history.py b/graphrag/query/context_builder/conversation_history.py new file mode 100644 index 00000000..33f516db --- /dev/null +++ b/graphrag/query/context_builder/conversation_history.py @@ -0,0 +1,212 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Classes for storing and managing conversation history.""" + +from dataclasses import dataclass +from enum import Enum + +import pandas as pd +import tiktoken + +from graphrag.query.llm.text_utils import num_tokens + +""" +Enum for conversation roles +""" + + +class ConversationRole(str, Enum): + """Enum for conversation roles.""" + + SYSTEM = "system" + USER = "user" + ASSISTANT = "assistant" + + @staticmethod + def from_string(value: str) -> "ConversationRole": + """Convert string to ConversationRole.""" + if value == "system": + return ConversationRole.SYSTEM + if value == "user": + return ConversationRole.USER + if value == "assistant": + return ConversationRole.ASSISTANT + + msg = f"Invalid Role: {value}" + raise ValueError(msg) + + def __str__(self) -> str: + """Return string representation of the enum value.""" + return self.value + + +""" +Data class for storing a single conversation turn +""" + + +@dataclass +class ConversationTurn: + """Data class for storing a single conversation turn.""" + + role: ConversationRole + content: str + + def __str__(self) -> str: + """Return string representation of the conversation turn.""" + return f"{self.role}: {self.content}" + + +@dataclass +class QATurn: + """ + Data class for storing a QA turn. + + A QA turn contains a user question and one more multiple assistant answers. + """ + + user_query: ConversationTurn + assistant_answers: list[ConversationTurn] | None = None + + def get_answer_text(self) -> str | None: + """Get the text of the assistant answers.""" + return ( + "\n".join([answer.content for answer in self.assistant_answers]) + if self.assistant_answers + else None + ) + + def __str__(self) -> str: + """Return string representation of the QA turn.""" + answers = self.get_answer_text() + return ( + f"Question: {self.user_query.content}\nAnswer: {answers}" + if answers + else f"Question: {self.user_query.content}" + ) + + +class ConversationHistory: + """Class for storing a conversation history.""" + + turns: list[ConversationTurn] + + def __init__(self): + self.turns = [] + + @classmethod + def from_list( + cls, conversation_turns: list[dict[str, str]] + ) -> "ConversationHistory": + """ + Create a conversation history from a list of conversation turns. + + Each turn is a dictionary in the form of {"role": "", "content": ""} + """ + history = cls() + for turn in conversation_turns: + history.turns.append( + ConversationTurn( + role=ConversationRole.from_string( + turn.get("role", ConversationRole.USER) + ), + content=turn.get("content", ""), + ) + ) + return history + + def add_turn(self, role: ConversationRole, content: str): + """Add a new turn to the conversation history.""" + self.turns.append(ConversationTurn(role=role, content=content)) + + def to_qa_turns(self) -> list[QATurn]: + """Convert conversation history to a list of QA turns.""" + qa_turns = list[QATurn]() + current_qa_turn = None + for turn in self.turns: + if turn.role == ConversationRole.USER: + if current_qa_turn: + qa_turns.append(current_qa_turn) + current_qa_turn = QATurn(user_query=turn, assistant_answers=[]) + else: + if current_qa_turn: + current_qa_turn.assistant_answers.append(turn) # type: ignore + if current_qa_turn: + qa_turns.append(current_qa_turn) + return qa_turns + + def get_user_turns(self, max_user_turns: int | None = 1) -> list[str]: + """Get the last user turns in the conversation history.""" + user_turns = [] + for turn in self.turns[::-1]: + if turn.role == ConversationRole.USER: + user_turns.append(turn.content) + if max_user_turns and len(user_turns) >= max_user_turns: + break + return user_turns + + def build_context( + self, + token_encoder: tiktoken.Encoding | None = None, + include_user_turns_only: bool = True, + max_qa_turns: int | None = 5, + max_tokens: int = 8000, + recency_bias: bool = True, + column_delimiter: str = "|", + context_name: str = "Conversation History", + ) -> tuple[str, dict[str, pd.DataFrame]]: + """ + Prepare conversation history as context data for system prompt. + + Parameters + ---------- + user_queries_only: If True, only user queries (not assistant responses) will be included in the context, default is True. + max_qa_turns: Maximum number of QA turns to include in the context, default is 1. + recency_bias: If True, reverse the order of the conversation history to ensure last QA got prioritized. + column_delimiter: Delimiter to use for separating columns in the context data, default is "|". + context_name: Name of the context, default is "Conversation History". + + """ + qa_turns = self.to_qa_turns() + if include_user_turns_only: + qa_turns = [ + QATurn(user_query=qa_turn.user_query, assistant_answers=None) + for qa_turn in qa_turns + ] + if recency_bias: + qa_turns = qa_turns[::-1] + if max_qa_turns and len(qa_turns) > max_qa_turns: + qa_turns = qa_turns[:max_qa_turns] + + # build context for qa turns + # add context header + if len(qa_turns) == 0 or not qa_turns: + return ("", {context_name: pd.DataFrame()}) + + # add table header + header = f"-----{context_name}-----" + "\n" + + turn_list = [] + current_context_df = pd.DataFrame() + for turn in qa_turns: + turn_list.append({ + "turn": ConversationRole.USER.__str__(), + "content": turn.user_query.content, + }) + if turn.assistant_answers: + turn_list.append({ + "turn": ConversationRole.ASSISTANT.__str__(), + "content": turn.get_answer_text(), + }) + + context_df = pd.DataFrame(turn_list) + context_text = header + context_df.to_csv(sep=column_delimiter, index=False) + if num_tokens(context_text, token_encoder) > max_tokens: + break + + current_context_df = context_df + context_text = header + current_context_df.to_csv( + sep=column_delimiter, index=False + ) + return (context_text, {context_name.lower(): current_context_df}) diff --git a/graphrag/query/context_builder/entity_extraction.py b/graphrag/query/context_builder/entity_extraction.py new file mode 100644 index 00000000..82a0699c --- /dev/null +++ b/graphrag/query/context_builder/entity_extraction.py @@ -0,0 +1,159 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Orchestration Context Builders.""" + +from enum import Enum + +from graphrag.model import Entity, Relationship +from graphrag.query.input.retrieval.entities import ( + get_entity_by_key, + get_entity_by_name, +) +from graphrag.query.llm.base import BaseTextEmbedding +from graphrag.vector_stores import BaseVectorStore + + +class EntityVectorStoreKey(str, Enum): + """Keys used as ids in the entity embedding vectorstores.""" + + ID = "id" + TITLE = "title" + + @staticmethod + def from_string(value: str) -> "EntityVectorStoreKey": + """Convert string to EntityVectorStoreKey.""" + if value == "id": + return EntityVectorStoreKey.ID + if value == "title": + return EntityVectorStoreKey.TITLE + + msg = f"Invalid EntityVectorStoreKey: {value}" + raise ValueError(msg) + + +def map_query_to_entities( + query: str, + text_embedding_vectorstore: BaseVectorStore, + text_embedder: BaseTextEmbedding, + all_entities: list[Entity], + embedding_vectorstore_key: str = EntityVectorStoreKey.ID, + include_entity_names: list[str] | None = None, + exclude_entity_names: list[str] | None = None, + k: int = 10, + oversample_scaler: int = 2, +) -> list[Entity]: + """Extract entities that match a given query using semantic similarity of text embeddings of query and entity descriptions.""" + if include_entity_names is None: + include_entity_names = [] + if exclude_entity_names is None: + exclude_entity_names = [] + matched_entities = [] + if query != "": + # get entities with highest semantic similarity to query + # oversample to account for excluded entities + search_results = text_embedding_vectorstore.similarity_search_by_text( + text=query, + text_embedder=lambda t: text_embedder.embed(t), + k=k * oversample_scaler, + ) + for result in search_results: + matched = get_entity_by_key( + entities=all_entities, + key=embedding_vectorstore_key, + value=result.document.id, + ) + if matched: + matched_entities.append(matched) + else: + all_entities.sort(key=lambda x: x.rank if x.rank else 0, reverse=True) + matched_entities = all_entities[:k] + + # filter out excluded entities + if exclude_entity_names: + matched_entities = [ + entity + for entity in matched_entities + if entity.title not in exclude_entity_names + ] + + # add entities in the include_entity list + included_entities = [] + for entity_name in include_entity_names: + included_entities.extend(get_entity_by_name(all_entities, entity_name)) + return included_entities + matched_entities + + +def find_nearest_neighbors_by_graph_embeddings( + entity_id: str, + graph_embedding_vectorstore: BaseVectorStore, + all_entities: list[Entity], + exclude_entity_names: list[str] | None = None, + embedding_vectorstore_key: str = EntityVectorStoreKey.ID, + k: int = 10, + oversample_scaler: int = 2, +) -> list[Entity]: + """Retrieve related entities by graph embeddings.""" + if exclude_entity_names is None: + exclude_entity_names = [] + # find nearest neighbors of this entity using graph embedding + query_entity = get_entity_by_key( + entities=all_entities, key=embedding_vectorstore_key, value=entity_id + ) + query_embedding = query_entity.graph_embedding if query_entity else None + + # oversample to account for excluded entities + if query_embedding: + matched_entities = [] + search_results = graph_embedding_vectorstore.similarity_search_by_vector( + query_embedding=query_embedding, k=k * oversample_scaler + ) + for result in search_results: + matched = get_entity_by_key( + entities=all_entities, + key=embedding_vectorstore_key, + value=result.document.id, + ) + if matched: + matched_entities.append(matched) + + # filter out excluded entities + if exclude_entity_names: + matched_entities = [ + entity + for entity in matched_entities + if entity.title not in exclude_entity_names + ] + matched_entities.sort(key=lambda x: x.rank, reverse=True) + return matched_entities[:k] + + return [] + + +def find_nearest_neighbors_by_entity_rank( + entity_name: str, + all_entities: list[Entity], + all_relationships: list[Relationship], + exclude_entity_names: list[str] | None = None, + k: int | None = 10, +) -> list[Entity]: + """Retrieve entities that have direct connections with the target entity, sorted by entity rank.""" + if exclude_entity_names is None: + exclude_entity_names = [] + entity_relationships = [ + rel + for rel in all_relationships + if rel.source == entity_name or rel.target == entity_name + ] + source_entity_names = {rel.source for rel in entity_relationships} + target_entity_names = {rel.target for rel in entity_relationships} + related_entity_names = (source_entity_names.union(target_entity_names)).difference( + set(exclude_entity_names) + ) + top_relations = [ + entity for entity in all_entities if entity.title in related_entity_names + ] + top_relations.sort(key=lambda x: x.rank if x.rank else 0, reverse=True) + if k: + return top_relations[:k] + return top_relations diff --git a/graphrag/query/context_builder/local_context.py b/graphrag/query/context_builder/local_context.py new file mode 100644 index 00000000..c2f7527e --- /dev/null +++ b/graphrag/query/context_builder/local_context.py @@ -0,0 +1,346 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Local Context Builder.""" + +from collections import defaultdict +from typing import Any, cast + +import pandas as pd +import tiktoken + +from graphrag.model import Covariate, Entity, Relationship +from graphrag.query.input.retrieval.covariates import ( + get_candidate_covariates, + to_covariate_dataframe, +) +from graphrag.query.input.retrieval.entities import to_entity_dataframe +from graphrag.query.input.retrieval.relationships import ( + get_candidate_relationships, + get_entities_from_relationships, + get_in_network_relationships, + get_out_network_relationships, + to_relationship_dataframe, +) +from graphrag.query.llm.text_utils import num_tokens + + +def build_entity_context( + selected_entities: list[Entity], + token_encoder: tiktoken.Encoding | None = None, + max_tokens: int = 8000, + include_entity_rank: bool = True, + rank_description: str = "number of relationships", + column_delimiter: str = "|", + context_name="Entities", +) -> tuple[str, pd.DataFrame]: + """Prepare entity data table as context data for system prompt.""" + if len(selected_entities) == 0: + return "", pd.DataFrame() + + # add headers + current_context_text = f"-----{context_name}-----" + "\n" + header = ["id", "entity", "description"] + if include_entity_rank: + header.append(rank_description) + attribute_cols = ( + list(selected_entities[0].attributes.keys()) + if selected_entities[0].attributes + else [] + ) + header.extend(attribute_cols) + current_context_text += column_delimiter.join(header) + "\n" + current_tokens = num_tokens(current_context_text, token_encoder) + + all_context_records = [header] + for entity in selected_entities: + new_context = [ + entity.short_id if entity.short_id else "", + entity.title, + entity.description if entity.description else "", + ] + if include_entity_rank: + new_context.append(str(entity.rank)) + for field in attribute_cols: + field_value = ( + str(entity.attributes.get(field)) + if entity.attributes and entity.attributes.get(field) + else "" + ) + new_context.append(field_value) + new_context_text = column_delimiter.join(new_context) + "\n" + new_tokens = num_tokens(new_context_text, token_encoder) + if current_tokens + new_tokens > max_tokens: + break + current_context_text += new_context_text + all_context_records.append(new_context) + current_tokens += new_tokens + + if len(all_context_records) > 1: + record_df = pd.DataFrame( + all_context_records[1:], columns=cast(Any, all_context_records[0]) + ) + else: + record_df = pd.DataFrame() + + return current_context_text, record_df + + +def build_covariates_context( + selected_entities: list[Entity], + covariates: list[Covariate], + token_encoder: tiktoken.Encoding | None = None, + max_tokens: int = 8000, + column_delimiter: str = "|", + context_name: str = "Covariates", +) -> tuple[str, pd.DataFrame]: + """Prepare covariate data tables as context data for system prompt.""" + # create an empty list of covariates + if len(selected_entities) == 0 or len(covariates) == 0: + return "", pd.DataFrame() + + selected_covariates = list[Covariate]() + record_df = pd.DataFrame() + + # add context header + current_context_text = f"-----{context_name}-----" + "\n" + + # add header + header = ["id", "entity"] + attributes = covariates[0].attributes or {} if len(covariates) > 0 else {} + attribute_cols = list(attributes.keys()) if len(covariates) > 0 else [] + header.extend(attribute_cols) + current_context_text += column_delimiter.join(header) + "\n" + current_tokens = num_tokens(current_context_text, token_encoder) + + all_context_records = [header] + for entity in selected_entities: + selected_covariates.extend([ + cov for cov in covariates if cov.subject_id == entity.title + ]) + + for covariate in selected_covariates: + new_context = [ + covariate.short_id if covariate.short_id else "", + covariate.subject_id, + ] + for field in attribute_cols: + field_value = ( + str(covariate.attributes.get(field)) + if covariate.attributes and covariate.attributes.get(field) + else "" + ) + new_context.append(field_value) + + new_context_text = column_delimiter.join(new_context) + "\n" + new_tokens = num_tokens(new_context_text, token_encoder) + if current_tokens + new_tokens > max_tokens: + break + current_context_text += new_context_text + all_context_records.append(new_context) + current_tokens += new_tokens + + if len(all_context_records) > 1: + record_df = pd.DataFrame( + all_context_records[1:], columns=cast(Any, all_context_records[0]) + ) + else: + record_df = pd.DataFrame() + + return current_context_text, record_df + + +def build_relationship_context( + selected_entities: list[Entity], + relationships: list[Relationship], + token_encoder: tiktoken.Encoding | None = None, + include_relationship_weight: bool = False, + max_tokens: int = 8000, + top_k_relationships: int = 10, + relationship_ranking_attribute: str = "rank", + column_delimiter: str = "|", + context_name: str = "Relationships", +) -> tuple[str, pd.DataFrame]: + """Prepare relationship data tables as context data for system prompt.""" + selected_relationships = _filter_relationships( + selected_entities=selected_entities, + relationships=relationships, + top_k_relationships=top_k_relationships, + relationship_ranking_attribute=relationship_ranking_attribute, + ) + + if len(selected_entities) == 0 or len(selected_relationships) == 0: + return "", pd.DataFrame() + + # add headers + current_context_text = f"-----{context_name}-----" + "\n" + header = ["id", "source", "target", "description"] + if include_relationship_weight: + header.append("weight") + attribute_cols = ( + list(selected_relationships[0].attributes.keys()) + if selected_relationships[0].attributes + else [] + ) + attribute_cols = [col for col in attribute_cols if col not in header] + header.extend(attribute_cols) + + current_context_text += column_delimiter.join(header) + "\n" + current_tokens = num_tokens(current_context_text, token_encoder) + + all_context_records = [header] + for rel in selected_relationships: + new_context = [ + rel.short_id if rel.short_id else "", + rel.source, + rel.target, + rel.description if rel.description else "", + ] + if include_relationship_weight: + new_context.append(str(rel.weight if rel.weight else "")) + for field in attribute_cols: + field_value = ( + str(rel.attributes.get(field)) + if rel.attributes and rel.attributes.get(field) + else "" + ) + new_context.append(field_value) + new_context_text = column_delimiter.join(new_context) + "\n" + new_tokens = num_tokens(new_context_text, token_encoder) + if current_tokens + new_tokens > max_tokens: + break + current_context_text += new_context_text + all_context_records.append(new_context) + current_tokens += new_tokens + + if len(all_context_records) > 1: + record_df = pd.DataFrame( + all_context_records[1:], columns=cast(Any, all_context_records[0]) + ) + else: + record_df = pd.DataFrame() + + return current_context_text, record_df + + +def _filter_relationships( + selected_entities: list[Entity], + relationships: list[Relationship], + top_k_relationships: int = 10, + relationship_ranking_attribute: str = "rank", +) -> list[Relationship]: + """Filter and sort relationships based on a set of selected entities and a ranking attribute.""" + # First priority: in-network relationships (i.e. relationships between selected entities) + in_network_relationships = get_in_network_relationships( + selected_entities=selected_entities, + relationships=relationships, + ranking_attribute=relationship_ranking_attribute, + ) + + # Second priority - out-of-network relationships + # (i.e. relationships between selected entities and other entities that are not within the selected entities) + out_network_relationships = get_out_network_relationships( + selected_entities=selected_entities, + relationships=relationships, + ranking_attribute=relationship_ranking_attribute, + ) + if len(out_network_relationships) <= 1: + return in_network_relationships + out_network_relationships + + # within out-of-network relationships, prioritize mutual relationships + # (i.e. relationships with out-network entities that are shared with multiple selected entities) + selected_entity_names = [entity.title for entity in selected_entities] + out_network_source_names = [ + relationship.source + for relationship in out_network_relationships + if relationship.source not in selected_entity_names + ] + out_network_target_names = [ + relationship.target + for relationship in out_network_relationships + if relationship.target not in selected_entity_names + ] + out_network_entity_names = list( + set(out_network_source_names + out_network_target_names) + ) + out_network_entity_links = defaultdict(int) + for entity_name in out_network_entity_names: + targets = [ + relationship.target + for relationship in out_network_relationships + if relationship.source == entity_name + ] + sources = [ + relationship.source + for relationship in out_network_relationships + if relationship.target == entity_name + ] + out_network_entity_links[entity_name] = len(set(targets + sources)) + + # sort out-network relationships by number of links and rank_attributes + for rel in out_network_relationships: + if rel.attributes is None: + rel.attributes = {} + rel.attributes["links"] = ( + out_network_entity_links[rel.source] + if rel.source in out_network_entity_links + else out_network_entity_links[rel.target] + ) + + # sort by attributes[links] first, then by ranking_attribute + if relationship_ranking_attribute == "weight": + out_network_relationships.sort( + key=lambda x: (x.attributes["links"], x.weight), # type: ignore + reverse=True, # type: ignore + ) + else: + out_network_relationships.sort( + key=lambda x: ( + x.attributes["links"], # type: ignore + x.attributes[relationship_ranking_attribute], # type: ignore + ), # type: ignore + reverse=True, + ) + + relationship_budget = top_k_relationships * len(selected_entities) + return in_network_relationships + out_network_relationships[:relationship_budget] + + +def get_candidate_context( + selected_entities: list[Entity], + entities: list[Entity], + relationships: list[Relationship], + covariates: dict[str, list[Covariate]], + include_entity_rank: bool = True, + entity_rank_description: str = "number of relationships", + include_relationship_weight: bool = False, +) -> dict[str, pd.DataFrame]: + """Prepare entity, relationship, and covariate data tables as context data for system prompt.""" + candidate_context = {} + candidate_relationships = get_candidate_relationships( + selected_entities=selected_entities, + relationships=relationships, + ) + candidate_context["relationships"] = to_relationship_dataframe( + relationships=candidate_relationships, + include_relationship_weight=include_relationship_weight, + ) + candidate_entities = get_entities_from_relationships( + relationships=candidate_relationships, entities=entities + ) + candidate_context["entities"] = to_entity_dataframe( + entities=candidate_entities, + include_entity_rank=include_entity_rank, + rank_description=entity_rank_description, + ) + + for covariate in covariates: + candidate_covariates = get_candidate_covariates( + selected_entities=selected_entities, + covariates=covariates[covariate], + ) + candidate_context[covariate.lower()] = to_covariate_dataframe( + candidate_covariates + ) + + return candidate_context diff --git a/graphrag/query/context_builder/source_context.py b/graphrag/query/context_builder/source_context.py new file mode 100644 index 00000000..99b7791c --- /dev/null +++ b/graphrag/query/context_builder/source_context.py @@ -0,0 +1,110 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Context Build utility methods.""" + +import random +from typing import Any, cast + +import pandas as pd +import tiktoken + +from graphrag.model import Entity, Relationship, TextUnit +from graphrag.query.llm.text_utils import num_tokens + +""" +Contain util functions to build text unit context for the search's system prompt +""" + + +def build_text_unit_context( + text_units: list[TextUnit], + token_encoder: tiktoken.Encoding | None = None, + column_delimiter: str = "|", + shuffle_data: bool = True, + max_tokens: int = 8000, + context_name: str = "Sources", + random_state: int = 86, +) -> tuple[str, dict[str, pd.DataFrame]]: + """Prepare text-unit data table as context data for system prompt.""" + if text_units is None or len(text_units) == 0: + return ("", {}) + + if shuffle_data: + random.seed(random_state) + random.shuffle(text_units) + + # add context header + current_context_text = f"-----{context_name}-----" + "\n" + + # add header + header = ["id", "text"] + attribute_cols = ( + list(text_units[0].attributes.keys()) if text_units[0].attributes else [] + ) + attribute_cols = [col for col in attribute_cols if col not in header] + header.extend(attribute_cols) + + current_context_text += column_delimiter.join(header) + "\n" + current_tokens = num_tokens(current_context_text, token_encoder) + all_context_records = [header] + + for unit in text_units: + new_context = [ + unit.short_id, + unit.text, + *[ + str(unit.attributes.get(field, "")) if unit.attributes else "" + for field in attribute_cols + ], + ] + new_context_text = column_delimiter.join(new_context) + "\n" + new_tokens = num_tokens(new_context_text, token_encoder) + + if current_tokens + new_tokens > max_tokens: + break + + current_context_text += new_context_text + all_context_records.append(new_context) + current_tokens += new_tokens + + if len(all_context_records) > 1: + record_df = pd.DataFrame( + all_context_records[1:], columns=cast(Any, all_context_records[0]) + ) + else: + record_df = pd.DataFrame() + return current_context_text, {context_name.lower(): record_df} + + +def count_relationships( + text_unit: TextUnit, entity: Entity, relationships: dict[str, Relationship] +) -> int: + """Count the number of relationships of the selected entity that are associated with the text unit.""" + matching_relationships = list[Relationship]() + if text_unit.relationship_ids is None: + entity_relationships = [ + rel + for rel in relationships.values() + if rel.source == entity.title or rel.target == entity.title + ] + entity_relationships = [ + rel for rel in entity_relationships if rel.text_unit_ids + ] + matching_relationships = [ + rel + for rel in entity_relationships + if text_unit.id in rel.text_unit_ids # type: ignore + ] # type: ignore + else: + text_unit_relationships = [ + relationships[rel_id] + for rel_id in text_unit.relationship_ids + if rel_id in relationships + ] + matching_relationships = [ + rel + for rel in text_unit_relationships + if rel.source == entity.title or rel.target == entity.title + ] + return len(matching_relationships) diff --git a/graphrag/query/factories.py b/graphrag/query/factories.py new file mode 100644 index 00000000..d7b7677d --- /dev/null +++ b/graphrag/query/factories.py @@ -0,0 +1,190 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Query Factory methods to support CLI.""" + +import tiktoken +from azure.identity import DefaultAzureCredential, get_bearer_token_provider + +from graphrag.config import ( + GraphRagConfig, + LLMType, +) +from graphrag.model import ( + CommunityReport, + Covariate, + Entity, + Relationship, + TextUnit, +) +from graphrag.query.context_builder.entity_extraction import EntityVectorStoreKey +from graphrag.query.llm.oai.chat_openai import ChatOpenAI +from graphrag.query.llm.oai.embedding import OpenAIEmbedding +from graphrag.query.llm.oai.typing import OpenaiApiType +from graphrag.query.structured_search.global_search.community_context import ( + GlobalCommunityContext, +) +from graphrag.query.structured_search.global_search.search import GlobalSearch +from graphrag.query.structured_search.local_search.mixed_context import ( + LocalSearchMixedContext, +) +from graphrag.query.structured_search.local_search.search import LocalSearch +from graphrag.vector_stores import BaseVectorStore + + +def get_llm(config: GraphRagConfig) -> ChatOpenAI: + """Get the LLM client.""" + is_azure_client = ( + config.llm.type == LLMType.AzureOpenAIChat + or config.llm.type == LLMType.AzureOpenAI + ) + debug_llm_key = config.llm.api_key or "" + llm_debug_info = { + **config.llm.model_dump(), + "api_key": f"REDACTED,len={len(debug_llm_key)}", + } + if config.llm.cognitive_services_endpoint is None: + cognitive_services_endpoint = "https://cognitiveservices.azure.com/.default" + else: + cognitive_services_endpoint = config.llm.cognitive_services_endpoint + print(f"creating llm client with {llm_debug_info}") # noqa T201 + return ChatOpenAI( + api_key=config.llm.api_key, + azure_ad_token_provider=get_bearer_token_provider( + DefaultAzureCredential(), cognitive_services_endpoint + ) + if is_azure_client and not config.llm.api_key + else None, + api_base=config.llm.api_base, + model=config.llm.model, + api_type=OpenaiApiType.AzureOpenAI if is_azure_client else OpenaiApiType.OpenAI, + deployment_name=config.llm.deployment_name, + api_version=config.llm.api_version, + max_retries=config.llm.max_retries, + ) + + +def get_text_embedder(config: GraphRagConfig) -> OpenAIEmbedding: + """Get the LLM client for embeddings.""" + is_azure_client = config.embeddings.llm.type == LLMType.AzureOpenAIEmbedding + debug_embedding_api_key = config.embeddings.llm.api_key or "" + llm_debug_info = { + **config.embeddings.llm.model_dump(), + "api_key": f"REDACTED,len={len(debug_embedding_api_key)}", + } + if config.embeddings.llm.cognitive_services_endpoint is None: + cognitive_services_endpoint = "https://cognitiveservices.azure.com/.default" + else: + cognitive_services_endpoint = config.embeddings.llm.cognitive_services_endpoint + print(f"creating embedding llm client with {llm_debug_info}") # noqa T201 + return OpenAIEmbedding( + api_key=config.embeddings.llm.api_key, + azure_ad_token_provider=get_bearer_token_provider( + DefaultAzureCredential(), cognitive_services_endpoint + ) + if is_azure_client and not config.embeddings.llm.api_key + else None, + api_base=config.embeddings.llm.api_base, + api_type=OpenaiApiType.AzureOpenAI if is_azure_client else OpenaiApiType.OpenAI, + model=config.embeddings.llm.model, + deployment_name=config.embeddings.llm.deployment_name, + api_version=config.embeddings.llm.api_version, + max_retries=config.embeddings.llm.max_retries, + ) + + +def get_local_search_engine( + config: GraphRagConfig, + reports: list[CommunityReport], + text_units: list[TextUnit], + entities: list[Entity], + relationships: list[Relationship], + covariates: dict[str, list[Covariate]], + response_type: str, + description_embedding_store: BaseVectorStore, +) -> LocalSearch: + """Create a local search engine based on data + configuration.""" + llm = get_llm(config) + text_embedder = get_text_embedder(config) + token_encoder = tiktoken.get_encoding(config.encoding_model) + + ls_config = config.local_search + + return LocalSearch( + llm=llm, + context_builder=LocalSearchMixedContext( + community_reports=reports, + text_units=text_units, + entities=entities, + relationships=relationships, + covariates=covariates, + entity_text_embeddings=description_embedding_store, + embedding_vectorstore_key=EntityVectorStoreKey.ID, # if the vectorstore uses entity title as ids, set this to EntityVectorStoreKey.TITLE + text_embedder=text_embedder, + token_encoder=token_encoder, + ), + token_encoder=token_encoder, + llm_params={ + "max_tokens": ls_config.llm_max_tokens, # change this based on the token limit you have on your model (if you are using a model with 8k limit, a good setting could be 1000=1500) + "temperature": 0.0, + }, + context_builder_params={ + "text_unit_prop": ls_config.text_unit_prop, + "community_prop": ls_config.community_prop, + "conversation_history_max_turns": ls_config.conversation_history_max_turns, + "conversation_history_user_turns_only": True, + "top_k_mapped_entities": ls_config.top_k_entities, + "top_k_relationships": ls_config.top_k_relationships, + "include_entity_rank": True, + "include_relationship_weight": True, + "include_community_rank": False, + "return_candidate_context": False, + "embedding_vectorstore_key": EntityVectorStoreKey.ID, # set this to EntityVectorStoreKey.TITLE if the vectorstore uses entity title as ids + "max_tokens": ls_config.max_tokens, # change this based on the token limit you have on your model (if you are using a model with 8k limit, a good setting could be 5000) + }, + response_type=response_type, + ) + + +def get_global_search_engine( + config: GraphRagConfig, + reports: list[CommunityReport], + entities: list[Entity], + response_type: str, +): + """Create a global search engine based on data + configuration.""" + token_encoder = tiktoken.get_encoding(config.encoding_model) + gs_config = config.global_search + + return GlobalSearch( + llm=get_llm(config), + context_builder=GlobalCommunityContext( + community_reports=reports, entities=entities, token_encoder=token_encoder + ), + token_encoder=token_encoder, + max_data_tokens=gs_config.data_max_tokens, + map_llm_params={ + "max_tokens": gs_config.map_max_tokens, + "temperature": 0.0, + }, + reduce_llm_params={ + "max_tokens": gs_config.reduce_max_tokens, + "temperature": 0.0, + }, + allow_general_knowledge=False, + json_mode=False, + context_builder_params={ + "use_community_summary": False, + "shuffle_data": True, + "include_community_rank": True, + "min_community_rank": 0, + "community_rank_name": "rank", + "include_community_weight": True, + "community_weight_name": "occurrence weight", + "normalize_community_weight": True, + "max_tokens": gs_config.max_tokens, + "context_name": "Reports", + }, + concurrent_coroutines=gs_config.concurrency, + response_type=response_type, + ) diff --git a/graphrag/query/indexer_adapters.py b/graphrag/query/indexer_adapters.py new file mode 100644 index 00000000..4ce90d92 --- /dev/null +++ b/graphrag/query/indexer_adapters.py @@ -0,0 +1,141 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +"""Indexing-Engine to Query Read Adapters. + +The parts of these functions that do type adaptation, renaming, collating, etc. should eventually go away. +Ideally this is just a straight read-thorugh into the object model. +""" + +from typing import cast + +import pandas as pd + +from graphrag.model import CommunityReport, Covariate, Entity, Relationship, TextUnit +from graphrag.query.input.loaders.dfs import ( + read_community_reports, + read_covariates, + read_entities, + read_relationships, + read_text_units, +) + + +def read_indexer_text_units(final_text_units: pd.DataFrame) -> list[TextUnit]: + """Read in the Text Units from the raw indexing outputs.""" + return read_text_units( + df=final_text_units, + short_id_col=None, + # expects a covariate map of type -> ids + covariates_col=None, + ) + + +def read_indexer_covariates(final_covariates: pd.DataFrame) -> list[Covariate]: + """Read in the Claims from the raw indexing outputs.""" + covariate_df = final_covariates + covariate_df["id"] = covariate_df["id"].astype(str) + return read_covariates( + df=covariate_df, + short_id_col="human_readable_id", + attributes_cols=[ + "object_id", + "status", + "start_date", + "end_date", + "description", + ], + text_unit_ids_col=None, + ) + + +def read_indexer_relationships(final_relationships: pd.DataFrame) -> list[Relationship]: + """Read in the Relationships from the raw indexing outputs.""" + return read_relationships( + df=final_relationships, + short_id_col="human_readable_id", + description_embedding_col=None, + document_ids_col=None, + attributes_cols=["rank"], + ) + + +def read_indexer_reports( + final_community_reports: pd.DataFrame, + final_nodes: pd.DataFrame, + community_level: int, +) -> list[CommunityReport]: + """Read in the Community Reports from the raw indexing outputs.""" + report_df = final_community_reports + entity_df = final_nodes + entity_df = _filter_under_community_level(entity_df, community_level) + entity_df["community"] = entity_df["community"].fillna(-1) + entity_df["community"] = entity_df["community"].astype(int) + + entity_df = entity_df.groupby(["title"]).agg({"community": "max"}).reset_index() + entity_df["community"] = entity_df["community"].astype(str) + filtered_community_df = entity_df["community"].drop_duplicates() + + report_df = _filter_under_community_level(report_df, community_level) + report_df = report_df.merge(filtered_community_df, on="community", how="inner") + + return read_community_reports( + df=report_df, + id_col="community", + short_id_col="community", + summary_embedding_col=None, + content_embedding_col=None, + ) + + +def read_indexer_entities( + final_nodes: pd.DataFrame, + final_entities: pd.DataFrame, + community_level: int, +) -> list[Entity]: + """Read in the Entities from the raw indexing outputs.""" + entity_df = final_nodes + entity_embedding_df = final_entities + + entity_df = _filter_under_community_level(entity_df, community_level) + entity_df = cast(pd.DataFrame, entity_df[["title", "degree", "community"]]).rename( + columns={"title": "name", "degree": "rank"} + ) + + entity_df["community"] = entity_df["community"].fillna(-1) + entity_df["community"] = entity_df["community"].astype(int) + entity_df["rank"] = entity_df["rank"].astype(int) + + # for duplicate entities, keep the one with the highest community level + entity_df = ( + entity_df.groupby(["name", "rank"]).agg({"community": "max"}).reset_index() + ) + entity_df["community"] = entity_df["community"].apply(lambda x: [str(x)]) + entity_df = entity_df.merge( + entity_embedding_df, on="name", how="inner" + ).drop_duplicates(subset=["name"]) + + # read entity dataframe to knowledge model objects + return read_entities( + df=entity_df, + id_col="id", + title_col="name", + type_col="type", + short_id_col="human_readable_id", + description_col="description", + community_col="community", + rank_col="rank", + name_embedding_col=None, + description_embedding_col="description_embedding", + graph_embedding_col=None, + text_unit_ids_col="text_unit_ids", + document_ids_col=None, + ) + + +def _filter_under_community_level( + df: pd.DataFrame, community_level: int +) -> pd.DataFrame: + return cast( + pd.DataFrame, + df[df.level <= community_level], + ) diff --git a/graphrag/query/input/__init__.py b/graphrag/query/input/__init__.py new file mode 100644 index 00000000..94ae9734 --- /dev/null +++ b/graphrag/query/input/__init__.py @@ -0,0 +1,4 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""GraphRAG Orchestration Inputs.""" diff --git a/graphrag/query/input/loaders/__init__.py b/graphrag/query/input/loaders/__init__.py new file mode 100644 index 00000000..8f19dac0 --- /dev/null +++ b/graphrag/query/input/loaders/__init__.py @@ -0,0 +1,4 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""GraphRAG Orchestartion Input Loaders.""" diff --git a/graphrag/query/input/loaders/dfs.py b/graphrag/query/input/loaders/dfs.py new file mode 100644 index 00000000..7312963b --- /dev/null +++ b/graphrag/query/input/loaders/dfs.py @@ -0,0 +1,340 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Load data from dataframes into collections of data objects.""" + +import pandas as pd + +from graphrag.model import ( + Community, + CommunityReport, + Covariate, + Document, + Entity, + Relationship, + TextUnit, +) +from graphrag.query.input.loaders.utils import ( + to_list, + to_optional_dict, + to_optional_float, + to_optional_int, + to_optional_list, + to_optional_str, + to_str, +) +from graphrag.vector_stores import BaseVectorStore, VectorStoreDocument + + +def read_entities( + df: pd.DataFrame, + id_col: str = "id", + short_id_col: str | None = "short_id", + title_col: str = "title", + type_col: str | None = "type", + description_col: str | None = "description", + name_embedding_col: str | None = "name_embedding", + description_embedding_col: str | None = "description_embedding", + graph_embedding_col: str | None = "graph_embedding", + community_col: str | None = "community_ids", + text_unit_ids_col: str | None = "text_unit_ids", + document_ids_col: str | None = "document_ids", + rank_col: str | None = "degree", + attributes_cols: list[str] | None = None, +) -> list[Entity]: + """Read entities from a dataframe.""" + entities = [] + for idx, row in df.iterrows(): + entity = Entity( + id=to_str(row, id_col), + short_id=to_optional_str(row, short_id_col) if short_id_col else str(idx), + title=to_str(row, title_col), + type=to_optional_str(row, type_col), + description=to_optional_str(row, description_col), + name_embedding=to_optional_list(row, name_embedding_col, item_type=float), + description_embedding=to_optional_list( + row, description_embedding_col, item_type=float + ), + graph_embedding=to_optional_list(row, graph_embedding_col, item_type=float), + community_ids=to_optional_list(row, community_col, item_type=str), + text_unit_ids=to_optional_list(row, text_unit_ids_col), + document_ids=to_optional_list(row, document_ids_col), + rank=to_optional_int(row, rank_col), + attributes=( + {col: row.get(col) for col in attributes_cols} + if attributes_cols + else None + ), + ) + entities.append(entity) + return entities + + +def store_entity_semantic_embeddings( + entities: list[Entity], + vectorstore: BaseVectorStore, +) -> BaseVectorStore: + """Store entity semantic embeddings in a vectorstore.""" + documents = [ + VectorStoreDocument( + id=entity.id, + text=entity.description, + vector=entity.description_embedding, + attributes=( + {"title": entity.title, **entity.attributes} + if entity.attributes + else {"title": entity.title} + ), + ) + for entity in entities + ] + vectorstore.load_documents(documents=documents) + return vectorstore + + +def store_entity_behavior_embeddings( + entities: list[Entity], + vectorstore: BaseVectorStore, +) -> BaseVectorStore: + """Store entity behavior embeddings in a vectorstore.""" + documents = [ + VectorStoreDocument( + id=entity.id, + text=entity.description, + vector=entity.graph_embedding, + attributes=( + {"title": entity.title, **entity.attributes} + if entity.attributes + else {"title": entity.title} + ), + ) + for entity in entities + ] + vectorstore.load_documents(documents=documents) + return vectorstore + + +def read_relationships( + df: pd.DataFrame, + id_col: str = "id", + short_id_col: str | None = "short_id", + source_col: str = "source", + target_col: str = "target", + description_col: str | None = "description", + description_embedding_col: str | None = "description_embedding", + weight_col: str | None = "weight", + text_unit_ids_col: str | None = "text_unit_ids", + document_ids_col: str | None = "document_ids", + attributes_cols: list[str] | None = None, +) -> list[Relationship]: + """Read relationships from a dataframe.""" + relationships = [] + for idx, row in df.iterrows(): + rel = Relationship( + id=to_str(row, id_col), + short_id=to_optional_str(row, short_id_col) if short_id_col else str(idx), + source=to_str(row, source_col), + target=to_str(row, target_col), + description=to_optional_str(row, description_col), + description_embedding=to_optional_list( + row, description_embedding_col, item_type=float + ), + weight=to_optional_float(row, weight_col), + text_unit_ids=to_optional_list(row, text_unit_ids_col, item_type=str), + document_ids=to_optional_list(row, document_ids_col, item_type=str), + attributes=( + {col: row.get(col) for col in attributes_cols} + if attributes_cols + else None + ), + ) + relationships.append(rel) + return relationships + + +def read_covariates( + df: pd.DataFrame, + id_col: str = "id", + short_id_col: str | None = "short_id", + subject_col: str = "subject_id", + subject_type_col: str | None = "subject_type", + covariate_type_col: str | None = "covariate_type", + text_unit_ids_col: str | None = "text_unit_ids", + document_ids_col: str | None = "document_ids", + attributes_cols: list[str] | None = None, +) -> list[Covariate]: + """Read covariates from a dataframe.""" + covariates = [] + for idx, row in df.iterrows(): + cov = Covariate( + id=to_str(row, id_col), + short_id=to_optional_str(row, short_id_col) if short_id_col else str(idx), + subject_id=to_str(row, subject_col), + subject_type=( + to_str(row, subject_type_col) if subject_type_col else "entity" + ), + covariate_type=( + to_str(row, covariate_type_col) if covariate_type_col else "claim" + ), + text_unit_ids=to_optional_list(row, text_unit_ids_col, item_type=str), + document_ids=to_optional_list(row, document_ids_col, item_type=str), + attributes=( + {col: row.get(col) for col in attributes_cols} + if attributes_cols + else None + ), + ) + covariates.append(cov) + return covariates + + +def read_communities( + df: pd.DataFrame, + id_col: str = "id", + short_id_col: str | None = "short_id", + title_col: str = "title", + level_col: str = "level", + entities_col: str | None = "entity_ids", + relationships_col: str | None = "relationship_ids", + covariates_col: str | None = "covariate_ids", + attributes_cols: list[str] | None = None, +) -> list[Community]: + """Read communities from a dataframe.""" + communities = [] + for idx, row in df.iterrows(): + comm = Community( + id=to_str(row, id_col), + short_id=to_optional_str(row, short_id_col) if short_id_col else str(idx), + title=to_str(row, title_col), + level=to_str(row, level_col), + entity_ids=to_optional_list(row, entities_col, item_type=str), + relationship_ids=to_optional_list(row, relationships_col, item_type=str), + covariate_ids=to_optional_dict( + row, covariates_col, key_type=str, value_type=str + ), + attributes=( + {col: row.get(col) for col in attributes_cols} + if attributes_cols + else None + ), + ) + communities.append(comm) + return communities + + +def read_community_reports( + df: pd.DataFrame, + id_col: str = "id", + short_id_col: str | None = "short_id", + title_col: str = "title", + community_col: str = "community", + summary_col: str = "summary", + content_col: str = "full_content", + rank_col: str | None = "rank", + summary_embedding_col: str | None = "summary_embedding", + content_embedding_col: str | None = "full_content_embedding", + attributes_cols: list[str] | None = None, +) -> list[CommunityReport]: + """Read community reports from a dataframe.""" + reports = [] + for idx, row in df.iterrows(): + report = CommunityReport( + id=to_str(row, id_col), + short_id=to_optional_str(row, short_id_col) if short_id_col else str(idx), + title=to_str(row, title_col), + community_id=to_str(row, community_col), + summary=to_str(row, summary_col), + full_content=to_str(row, content_col), + rank=to_optional_float(row, rank_col), + summary_embedding=to_optional_list( + row, summary_embedding_col, item_type=float + ), + full_content_embedding=to_optional_list( + row, content_embedding_col, item_type=float + ), + attributes=( + {col: row.get(col) for col in attributes_cols} + if attributes_cols + else None + ), + ) + reports.append(report) + return reports + + +def read_text_units( + df: pd.DataFrame, + id_col: str = "id", + short_id_col: str | None = "short_id", + text_col: str = "text", + entities_col: str | None = "entity_ids", + relationships_col: str | None = "relationship_ids", + covariates_col: str | None = "covariate_ids", + tokens_col: str | None = "n_tokens", + document_ids_col: str | None = "document_ids", + embedding_col: str | None = "text_embedding", + attributes_cols: list[str] | None = None, +) -> list[TextUnit]: + """Read text units from a dataframe.""" + text_units = [] + for idx, row in df.iterrows(): + chunk = TextUnit( + id=to_str(row, id_col), + short_id=to_optional_str(row, short_id_col) if short_id_col else str(idx), + text=to_str(row, text_col), + entity_ids=to_optional_list(row, entities_col, item_type=str), + relationship_ids=to_optional_list(row, relationships_col, item_type=str), + covariate_ids=to_optional_dict( + row, covariates_col, key_type=str, value_type=str + ), + text_embedding=to_optional_list(row, embedding_col, item_type=float), # type: ignore + n_tokens=to_optional_int(row, tokens_col), + document_ids=to_optional_list(row, document_ids_col, item_type=str), + attributes=( + {col: row.get(col) for col in attributes_cols} + if attributes_cols + else None + ), + ) + text_units.append(chunk) + return text_units + + +def read_documents( + df: pd.DataFrame, + id_col: str = "id", + short_id_col: str = "short_id", + title_col: str = "title", + type_col: str = "type", + summary_col: str | None = "entities", + raw_content_col: str | None = "relationships", + summary_embedding_col: str | None = "summary_embedding", + content_embedding_col: str | None = "raw_content_embedding", + text_units_col: str | None = "text_units", + attributes_cols: list[str] | None = None, +) -> list[Document]: + """Read documents from a dataframe.""" + docs = [] + for idx, row in df.iterrows(): + doc = Document( + id=to_str(row, id_col), + short_id=to_optional_str(row, short_id_col) if short_id_col else str(idx), + title=to_str(row, title_col), + type=to_str(row, type_col), + summary=to_optional_str(row, summary_col), + raw_content=to_str(row, raw_content_col), + summary_embedding=to_optional_list( + row, summary_embedding_col, item_type=float + ), + raw_content_embedding=to_optional_list( + row, content_embedding_col, item_type=float + ), + text_units=to_list(row, text_units_col, item_type=str), # type: ignore + attributes=( + {col: row.get(col) for col in attributes_cols} + if attributes_cols + else None + ), + ) + docs.append(doc) + return docs diff --git a/graphrag/query/input/loaders/utils.py b/graphrag/query/input/loaders/utils.py new file mode 100644 index 00000000..e0fffd24 --- /dev/null +++ b/graphrag/query/input/loaders/utils.py @@ -0,0 +1,245 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Data load utils.""" + +import numpy as np +import pandas as pd + + +def to_str(data: pd.Series, column_name: str | None) -> str: + """Convert and validate a value to a string.""" + if column_name is None: + msg = "Column name is None" + raise ValueError(msg) + + if column_name in data: + return str(data[column_name]) + msg = f"Column {column_name} not found in data" + raise ValueError(msg) + + +def to_optional_str(data: pd.Series, column_name: str | None) -> str | None: + """Convert and validate a value to an optional string.""" + if column_name is None: + msg = "Column name is None" + raise ValueError(msg) + + if column_name in data: + value = data[column_name] + if value is None: + return None + return str(data[column_name]) + msg = f"Column {column_name} not found in data" + raise ValueError(msg) + + +def to_list( + data: pd.Series, column_name: str | None, item_type: type | None = None +) -> list: + """Convert and validate a value to a list.""" + if column_name is None: + msg = "Column name is None" + raise ValueError(msg) + + if column_name in data: + value = data[column_name] + if isinstance(value, np.ndarray): + value = value.tolist() + + if not isinstance(value, list): + msg = f"value is not a list: {value} ({type(value)})" + raise ValueError(msg) + + if item_type is not None: + for v in value: + if not isinstance(v, item_type): + msg = f"list item has item that is not {item_type}: {v} ({type(v)})" + raise TypeError(msg) + return value + + msg = f"Column {column_name} not found in data" + raise ValueError(msg) + + +def to_optional_list( + data: pd.Series, column_name: str | None, item_type: type | None = None +) -> list | None: + """Convert and validate a value to an optional list.""" + if column_name is None: + return None + + if column_name in data: + value = data[column_name] # type: ignore + if value is None: + return None + + if isinstance(value, np.ndarray): + value = value.tolist() + + if not isinstance(value, list): + msg = f"value is not a list: {value} ({type(value)})" + raise ValueError(msg) + + if item_type is not None: + for v in value: + if not isinstance(v, item_type): + msg = f"list item has item that is not {item_type}: {v} ({type(v)})" + raise TypeError(msg) + return value + + return None + + +def to_int(data: pd.Series, column_name: str | None) -> int: + """Convert and validate a value to an int.""" + if column_name is None: + msg = "Column name is None" + raise ValueError(msg) + + if column_name in data: + value = data[column_name] + if isinstance(value, float): + value = int(value) + if not isinstance(value, int): + msg = f"value is not an int: {value} ({type(value)})" + raise ValueError(msg) + else: + msg = f"Column {column_name} not found in data" + raise ValueError(msg) + + return int(value) + + +def to_optional_int(data: pd.Series, column_name: str | None) -> int | None: + """Convert and validate a value to an optional int.""" + if column_name is None: + return None + + if column_name in data: + value = data[column_name] + + if value is None: + return None + + if isinstance(value, float): + value = int(value) + if not isinstance(value, int): + msg = f"value is not an int: {value} ({type(value)})" + raise ValueError(msg) + else: + msg = f"Column {column_name} not found in data" + raise ValueError(msg) + + return int(value) + + +def to_float(data: pd.Series, column_name: str | None) -> float: + """Convert and validate a value to a float.""" + if column_name is None: + msg = "Column name is None" + raise ValueError(msg) + + if column_name in data: + value = data[column_name] + if not isinstance(value, float): + msg = f"value is not a float: {value} ({type(value)})" + raise ValueError(msg) + else: + msg = f"Column {column_name} not found in data" + raise ValueError(msg) + + return float(value) + + +def to_optional_float(data: pd.Series, column_name: str | None) -> float | None: + """Convert and validate a value to an optional float.""" + if column_name is None: + return None + + if column_name in data: + value = data[column_name] + if value is None: + return None + if not isinstance(value, float): + msg = f"value is not a float: {value} ({type(value)})" + raise ValueError(msg) + else: + msg = f"Column {column_name} not found in data" + raise ValueError(msg) + + return float(value) + + +def to_dict( + data: pd.Series, + column_name: str | None, + key_type: type | None = None, + value_type: type | None = None, +) -> dict: + """Convert and validate a value to a dict.""" + if column_name is None: + msg = "Column name is None" + raise ValueError(msg) + + if column_name in data: + value = data[column_name] + if not isinstance(value, dict): + msg = f"value is not a dict: {value} ({type(value)})" + raise ValueError(msg) + + if key_type is not None: + for v in value: + if not isinstance(v, key_type): + msg = f"dict key has item that is not {key_type}: {v} ({type(v)})" + raise TypeError(msg) + + if value_type is not None: + for v in value.values(): + if not isinstance(v, value_type): + msg = ( + f"dict value has item that is not {value_type}: {v} ({type(v)})" + ) + raise TypeError(msg) + return value + + msg = f"Column {column_name} not found in data" + raise ValueError(msg) + + +def to_optional_dict( + data: pd.Series, + column_name: str | None, + key_type: type | None = None, + value_type: type | None = None, +) -> dict | None: + """Convert and validate a value to an optional dict.""" + if column_name is None: + return None + + if column_name in data: + value = data[column_name] + if value is None: + return None + if not isinstance(value, dict): + msg = f"value is not a dict: {value} ({type(value)})" + raise TypeError(msg) + + if key_type is not None: + for v in value: + if not isinstance(v, key_type): + msg = f"dict key has item that is not {key_type}: {v} ({type(v)})" + raise TypeError(msg) + + if value_type is not None: + for v in value.values(): + if not isinstance(v, value_type): + msg = ( + f"dict value has item that is not {value_type}: {v} ({type(v)})" + ) + raise TypeError(msg) + + return value + + msg = f"Column {column_name} not found in data" + raise ValueError(msg) diff --git a/graphrag/query/input/retrieval/__init__.py b/graphrag/query/input/retrieval/__init__.py new file mode 100644 index 00000000..75c2f9f0 --- /dev/null +++ b/graphrag/query/input/retrieval/__init__.py @@ -0,0 +1,4 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""GraphRAG Orchestration Input Retrieval.""" diff --git a/graphrag/query/input/retrieval/community_reports.py b/graphrag/query/input/retrieval/community_reports.py new file mode 100644 index 00000000..bd4933f1 --- /dev/null +++ b/graphrag/query/input/retrieval/community_reports.py @@ -0,0 +1,74 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Util functions to retrieve community reports from a collection.""" + +from typing import Any, cast + +import pandas as pd + +from graphrag.model import CommunityReport, Entity + + +def get_candidate_communities( + selected_entities: list[Entity], + community_reports: list[CommunityReport], + include_community_rank: bool = False, + use_community_summary: bool = False, +) -> pd.DataFrame: + """Get all communities that are related to selected entities.""" + selected_community_ids = [ + entity.community_ids for entity in selected_entities if entity.community_ids + ] + selected_community_ids = [ + item for sublist in selected_community_ids for item in sublist + ] + selected_reports = [ + community + for community in community_reports + if community.id in selected_community_ids + ] + return to_community_report_dataframe( + reports=selected_reports, + include_community_rank=include_community_rank, + use_community_summary=use_community_summary, + ) + + +def to_community_report_dataframe( + reports: list[CommunityReport], + include_community_rank: bool = False, + use_community_summary: bool = False, +) -> pd.DataFrame: + """Convert a list of communities to a pandas dataframe.""" + if len(reports) == 0: + return pd.DataFrame() + + # add header + header = ["id", "title"] + attribute_cols = list(reports[0].attributes.keys()) if reports[0].attributes else [] + attribute_cols = [col for col in attribute_cols if col not in header] + header.extend(attribute_cols) + header.append("summary" if use_community_summary else "content") + if include_community_rank: + header.append("rank") + + records = [] + for report in reports: + new_record = [ + report.short_id if report.short_id else "", + report.title, + *[ + str(report.attributes.get(field, "")) + if report.attributes and report.attributes.get(field) + else "" + for field in attribute_cols + ], + ] + new_record.append( + report.summary if use_community_summary else report.full_content + ) + if include_community_rank: + new_record.append(str(report.rank)) + records.append(new_record) + return pd.DataFrame(records, columns=cast(Any, header)) diff --git a/graphrag/query/input/retrieval/covariates.py b/graphrag/query/input/retrieval/covariates.py new file mode 100644 index 00000000..1c45203d --- /dev/null +++ b/graphrag/query/input/retrieval/covariates.py @@ -0,0 +1,52 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Util functions to retrieve covariates from a collection.""" + +from typing import Any, cast + +import pandas as pd + +from graphrag.model import Covariate, Entity + + +def get_candidate_covariates( + selected_entities: list[Entity], + covariates: list[Covariate], +) -> list[Covariate]: + """Get all covariates that are related to selected entities.""" + selected_entity_names = [entity.title for entity in selected_entities] + return [ + covariate + for covariate in covariates + if covariate.subject_id in selected_entity_names + ] + + +def to_covariate_dataframe(covariates: list[Covariate]) -> pd.DataFrame: + """Convert a list of covariates to a pandas dataframe.""" + if len(covariates) == 0: + return pd.DataFrame() + + # add header + header = ["id", "entity"] + attributes = covariates[0].attributes or {} if len(covariates) > 0 else {} + attribute_cols = list(attributes.keys()) if len(covariates) > 0 else [] + attribute_cols = [col for col in attribute_cols if col not in header] + header.extend(attribute_cols) + + records = [] + for covariate in covariates: + new_record = [ + covariate.short_id if covariate.short_id else "", + covariate.subject_id, + ] + for field in attribute_cols: + field_value = ( + str(covariate.attributes.get(field)) + if covariate.attributes and covariate.attributes.get(field) + else "" + ) + new_record.append(field_value) + records.append(new_record) + return pd.DataFrame(records, columns=cast(Any, header)) diff --git a/graphrag/query/input/retrieval/entities.py b/graphrag/query/input/retrieval/entities.py new file mode 100644 index 00000000..5465f9f5 --- /dev/null +++ b/graphrag/query/input/retrieval/entities.py @@ -0,0 +1,93 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Util functions to get entities from a collection.""" + +import uuid +from collections.abc import Iterable +from typing import Any, cast + +import pandas as pd + +from graphrag.model import Entity + + +def get_entity_by_key( + entities: Iterable[Entity], key: str, value: str | int +) -> Entity | None: + """Get entity by key.""" + for entity in entities: + if isinstance(value, str) and is_valid_uuid(value): + if getattr(entity, key) == value or getattr(entity, key) == value.replace( + "-", "" + ): + return entity + else: + if getattr(entity, key) == value: + return entity + return None + + +def get_entity_by_name(entities: Iterable[Entity], entity_name: str) -> list[Entity]: + """Get entities by name.""" + return [entity for entity in entities if entity.title == entity_name] + + +def get_entity_by_attribute( + entities: Iterable[Entity], attribute_name: str, attribute_value: Any +) -> list[Entity]: + """Get entities by attribute.""" + return [ + entity + for entity in entities + if entity.attributes + and entity.attributes.get(attribute_name) == attribute_value + ] + + +def to_entity_dataframe( + entities: list[Entity], + include_entity_rank: bool = True, + rank_description: str = "number of relationships", +) -> pd.DataFrame: + """Convert a list of entities to a pandas dataframe.""" + if len(entities) == 0: + return pd.DataFrame() + header = ["id", "entity", "description"] + if include_entity_rank: + header.append(rank_description) + attribute_cols = ( + list(entities[0].attributes.keys()) if entities[0].attributes else [] + ) + attribute_cols = [col for col in attribute_cols if col not in header] + header.extend(attribute_cols) + + records = [] + for entity in entities: + new_record = [ + entity.short_id if entity.short_id else "", + entity.title, + entity.description if entity.description else "", + ] + if include_entity_rank: + new_record.append(str(entity.rank)) + + for field in attribute_cols: + field_value = ( + str(entity.attributes.get(field)) + if entity.attributes and entity.attributes.get(field) + else "" + ) + new_record.append(field_value) + records.append(new_record) + return pd.DataFrame(records, columns=cast(Any, header)) + + +def is_valid_uuid(value: str) -> bool: + """Determine if a string is a valid UUID.""" + try: + uuid.UUID(str(value)) + except ValueError: + return False + else: + return True diff --git a/graphrag/query/input/retrieval/relationships.py b/graphrag/query/input/retrieval/relationships.py new file mode 100644 index 00000000..2ef5ba38 --- /dev/null +++ b/graphrag/query/input/retrieval/relationships.py @@ -0,0 +1,173 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Util functions to retrieve relationships from a collection.""" + +from typing import Any, cast + +import pandas as pd + +from graphrag.model import Entity, Relationship + + +def get_in_network_relationships( + selected_entities: list[Entity], + relationships: list[Relationship], + ranking_attribute: str = "rank", +) -> list[Relationship]: + """Get all directed relationships between selected entities, sorted by ranking_attribute.""" + selected_entity_names = [entity.title for entity in selected_entities] + selected_relationships = [ + relationship + for relationship in relationships + if relationship.source in selected_entity_names + and relationship.target in selected_entity_names + ] + if len(selected_relationships) <= 1: + return selected_relationships + + # sort by ranking attribute + return sort_relationships_by_ranking_attribute( + selected_relationships, selected_entities, ranking_attribute + ) + + +def get_out_network_relationships( + selected_entities: list[Entity], + relationships: list[Relationship], + ranking_attribute: str = "rank", +) -> list[Relationship]: + """Get relationships from selected entities to other entities that are not within the selected entities, sorted by ranking_attribute.""" + selected_entity_names = [entity.title for entity in selected_entities] + source_relationships = [ + relationship + for relationship in relationships + if relationship.source in selected_entity_names + and relationship.target not in selected_entity_names + ] + target_relationships = [ + relationship + for relationship in relationships + if relationship.target in selected_entity_names + and relationship.source not in selected_entity_names + ] + selected_relationships = source_relationships + target_relationships + return sort_relationships_by_ranking_attribute( + selected_relationships, selected_entities, ranking_attribute + ) + + +def get_candidate_relationships( + selected_entities: list[Entity], + relationships: list[Relationship], +) -> list[Relationship]: + """Get all relationships that are associated with the selected entities.""" + selected_entity_names = [entity.title for entity in selected_entities] + return [ + relationship + for relationship in relationships + if relationship.source in selected_entity_names + or relationship.target in selected_entity_names + ] + + +def get_entities_from_relationships( + relationships: list[Relationship], entities: list[Entity] +) -> list[Entity]: + """Get all entities that are associated with the selected relationships.""" + selected_entity_names = [relationship.source for relationship in relationships] + [ + relationship.target for relationship in relationships + ] + return [entity for entity in entities if entity.title in selected_entity_names] + + +def calculate_relationship_combined_rank( + relationships: list[Relationship], + entities: list[Entity], + ranking_attribute: str = "rank", +) -> list[Relationship]: + """Calculate default rank for a relationship based on the combined rank of source and target entities.""" + entity_mappings = {entity.title: entity for entity in entities} + + for relationship in relationships: + if relationship.attributes is None: + relationship.attributes = {} + source = entity_mappings.get(relationship.source) + target = entity_mappings.get(relationship.target) + source_rank = source.rank if source and source.rank else 0 + target_rank = target.rank if target and target.rank else 0 + relationship.attributes[ranking_attribute] = source_rank + target_rank # type: ignore + return relationships + + +def sort_relationships_by_ranking_attribute( + relationships: list[Relationship], + entities: list[Entity], + ranking_attribute: str = "rank", +) -> list[Relationship]: + """ + Sort relationships by a ranking_attribute. + + If no ranking attribute exists, sort by combined rank of source and target entities. + """ + if len(relationships) == 0: + return relationships + + # sort by ranking attribute + attribute_names = ( + list(relationships[0].attributes.keys()) if relationships[0].attributes else [] + ) + if ranking_attribute in attribute_names: + relationships.sort( + key=lambda x: int(x.attributes[ranking_attribute]) if x.attributes else 0, + reverse=True, + ) + elif ranking_attribute == "weight": + relationships.sort(key=lambda x: x.weight if x.weight else 0.0, reverse=True) + else: + # ranking attribute do not exist, calculate rank = combined ranks of source and target + relationships = calculate_relationship_combined_rank( + relationships, entities, ranking_attribute + ) + relationships.sort( + key=lambda x: int(x.attributes[ranking_attribute]) if x.attributes else 0, + reverse=True, + ) + return relationships + + +def to_relationship_dataframe( + relationships: list[Relationship], include_relationship_weight: bool = True +) -> pd.DataFrame: + """Convert a list of relationships to a pandas dataframe.""" + if len(relationships) == 0: + return pd.DataFrame() + + header = ["id", "source", "target", "description"] + if include_relationship_weight: + header.append("weight") + attribute_cols = ( + list(relationships[0].attributes.keys()) if relationships[0].attributes else [] + ) + attribute_cols = [col for col in attribute_cols if col not in header] + header.extend(attribute_cols) + + records = [] + for rel in relationships: + new_record = [ + rel.short_id if rel.short_id else "", + rel.source, + rel.target, + rel.description if rel.description else "", + ] + if include_relationship_weight: + new_record.append(str(rel.weight if rel.weight else "")) + for field in attribute_cols: + field_value = ( + str(rel.attributes.get(field)) + if rel.attributes and rel.attributes.get(field) + else "" + ) + new_record.append(field_value) + records.append(new_record) + return pd.DataFrame(records, columns=cast(Any, header)) diff --git a/graphrag/query/input/retrieval/text_units.py b/graphrag/query/input/retrieval/text_units.py new file mode 100644 index 00000000..a00dc20a --- /dev/null +++ b/graphrag/query/input/retrieval/text_units.py @@ -0,0 +1,52 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Util functions to retrieve text units from a collection.""" + +from typing import Any, cast + +import pandas as pd + +from graphrag.model import Entity, TextUnit + + +def get_candidate_text_units( + selected_entities: list[Entity], + text_units: list[TextUnit], +) -> pd.DataFrame: + """Get all text units that are associated to selected entities.""" + selected_text_ids = [ + entity.text_unit_ids for entity in selected_entities if entity.text_unit_ids + ] + selected_text_ids = [item for sublist in selected_text_ids for item in sublist] + selected_text_units = [unit for unit in text_units if unit.id in selected_text_ids] + return to_text_unit_dataframe(selected_text_units) + + +def to_text_unit_dataframe(text_units: list[TextUnit]) -> pd.DataFrame: + """Convert a list of text units to a pandas dataframe.""" + if len(text_units) == 0: + return pd.DataFrame() + + # add header + header = ["id", "text"] + attribute_cols = ( + list(text_units[0].attributes.keys()) if text_units[0].attributes else [] + ) + attribute_cols = [col for col in attribute_cols if col not in header] + header.extend(attribute_cols) + + records = [] + for unit in text_units: + new_record = [ + unit.short_id, + unit.text, + *[ + str(unit.attributes.get(field, "")) + if unit.attributes and unit.attributes.get(field) + else "" + for field in attribute_cols + ], + ] + records.append(new_record) + return pd.DataFrame(records, columns=cast(Any, header)) diff --git a/graphrag/query/llm/__init__.py b/graphrag/query/llm/__init__.py new file mode 100644 index 00000000..b8f507b1 --- /dev/null +++ b/graphrag/query/llm/__init__.py @@ -0,0 +1,4 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Orchestration LLM utilities.""" diff --git a/graphrag/query/llm/base.py b/graphrag/query/llm/base.py new file mode 100644 index 00000000..228150af --- /dev/null +++ b/graphrag/query/llm/base.py @@ -0,0 +1,54 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Base classes for LLM and Embedding models.""" + +from abc import ABC, abstractmethod +from typing import Any + + +class BaseLLMCallback: + """Base class for LLM callbacks.""" + + def __init__(self): + self.response = [] + + def on_llm_new_token(self, token: str): + """Handle when a new token is generated.""" + self.response.append(token) + + +class BaseLLM(ABC): + """The Base LLM implementation.""" + + @abstractmethod + def generate( + self, + messages: str | list[Any], + streaming: bool = True, + callbacks: list[BaseLLMCallback] | None = None, + **kwargs: Any, + ) -> str: + """Generate a response.""" + + @abstractmethod + async def agenerate( + self, + messages: str | list[Any], + streaming: bool = True, + callbacks: list[BaseLLMCallback] | None = None, + **kwargs: Any, + ) -> str: + """Generate a response asynchronously.""" + + +class BaseTextEmbedding(ABC): + """The text embedding interface.""" + + @abstractmethod + def embed(self, text: str, **kwargs: Any) -> list[float]: + """Embed a text string.""" + + @abstractmethod + async def aembed(self, text: str, **kwargs: Any) -> list[float]: + """Embed a text string asynchronously.""" diff --git a/graphrag/query/llm/oai/__init__.py b/graphrag/query/llm/oai/__init__.py new file mode 100644 index 00000000..cbb25790 --- /dev/null +++ b/graphrag/query/llm/oai/__init__.py @@ -0,0 +1,21 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""GraphRAG Orchestration OpenAI Wrappers.""" + +from .base import BaseOpenAILLM, OpenAILLMImpl, OpenAITextEmbeddingImpl +from .chat_openai import ChatOpenAI +from .embedding import OpenAIEmbedding +from .openai import OpenAI +from .typing import OPENAI_RETRY_ERROR_TYPES, OpenaiApiType + +__all__ = [ + "OPENAI_RETRY_ERROR_TYPES", + "BaseOpenAILLM", + "ChatOpenAI", + "OpenAI", + "OpenAIEmbedding", + "OpenAILLMImpl", + "OpenAITextEmbeddingImpl", + "OpenaiApiType", +] diff --git a/graphrag/query/llm/oai/base.py b/graphrag/query/llm/oai/base.py new file mode 100644 index 00000000..6181c0b2 --- /dev/null +++ b/graphrag/query/llm/oai/base.py @@ -0,0 +1,187 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Base classes for LLM and Embedding models.""" + +from abc import ABC, abstractmethod +from collections.abc import Callable + +from openai import AsyncAzureOpenAI, AsyncOpenAI, AzureOpenAI, OpenAI + +from graphrag.query.llm.base import BaseTextEmbedding +from graphrag.query.llm.oai.typing import OpenaiApiType +from graphrag.query.progress import ConsoleStatusReporter, StatusReporter + + +class BaseOpenAILLM(ABC): + """The Base OpenAI LLM implementation.""" + + _async_client: AsyncOpenAI | AsyncAzureOpenAI + _sync_client: OpenAI | AzureOpenAI + + def __init__(self): + self._create_openai_client() + + @abstractmethod + def _create_openai_client(self): + """Create a new synchronous and asynchronous OpenAI client instance.""" + + def set_clients( + self, + sync_client: OpenAI | AzureOpenAI, + async_client: AsyncOpenAI | AsyncAzureOpenAI, + ): + """ + Set the synchronous and asynchronous clients used for making API requests. + + Args: + sync_client (OpenAI | AzureOpenAI): The sync client object. + async_client (AsyncOpenAI | AsyncAzureOpenAI): The async client object. + """ + self._sync_client = sync_client + self._async_client = async_client + + @property + def async_client(self) -> AsyncOpenAI | AsyncAzureOpenAI | None: + """ + Get the asynchronous client used for making API requests. + + Returns + ------- + AsyncOpenAI | AsyncAzureOpenAI: The async client object. + """ + return self._async_client + + @property + def sync_client(self) -> OpenAI | AzureOpenAI | None: + """ + Get the synchronous client used for making API requests. + + Returns + ------- + AsyncOpenAI | AsyncAzureOpenAI: The async client object. + """ + return self._sync_client + + @async_client.setter + def async_client(self, client: AsyncOpenAI | AsyncAzureOpenAI): + """ + Set the asynchronous client used for making API requests. + + Args: + client (AsyncOpenAI | AsyncAzureOpenAI): The async client object. + """ + self._async_client = client + + @sync_client.setter + def sync_client(self, client: OpenAI | AzureOpenAI): + """ + Set the synchronous client used for making API requests. + + Args: + client (OpenAI | AzureOpenAI): The sync client object. + """ + self._sync_client = client + + +class OpenAILLMImpl(BaseOpenAILLM): + """Orchestration OpenAI LLM Implementation.""" + + _reporter: StatusReporter = ConsoleStatusReporter() + + def __init__( + self, + api_key: str | None = None, + azure_ad_token_provider: Callable | None = None, + deployment_name: str | None = None, + api_base: str | None = None, + api_version: str | None = None, + api_type: OpenaiApiType = OpenaiApiType.OpenAI, + organization: str | None = None, + max_retries: int = 10, + request_timeout: float = 180.0, + reporter: StatusReporter | None = None, + ): + self.api_key = api_key + self.azure_ad_token_provider = azure_ad_token_provider + self.deployment_name = deployment_name + self.api_base = api_base + self.api_version = api_version + self.api_type = api_type + self.organization = organization + self.max_retries = max_retries + self.request_timeout = request_timeout + self.reporter = reporter or ConsoleStatusReporter() + + try: + # Create OpenAI sync and async clients + super().__init__() + except Exception as e: + self._reporter.error( + message="Failed to create OpenAI client", + details={self.__class__.__name__: str(e)}, + ) + raise + + def _create_openai_client(self): + """Create a new OpenAI client instance.""" + if self.api_type == OpenaiApiType.AzureOpenAI: + if self.api_base is None: + msg = "api_base is required for Azure OpenAI" + raise ValueError(msg) + + sync_client = AzureOpenAI( + api_key=self.api_key, + azure_ad_token_provider=self.azure_ad_token_provider, + organization=self.organization, + # Azure-Specifics + api_version=self.api_version, + azure_endpoint=self.api_base, + azure_deployment=self.deployment_name, + # Retry Configuration + timeout=self.request_timeout, + max_retries=self.max_retries, + ) + + async_client = AsyncAzureOpenAI( + api_key=self.api_key, + azure_ad_token_provider=self.azure_ad_token_provider, + organization=self.organization, + # Azure-Specifics + api_version=self.api_version, + azure_endpoint=self.api_base, + azure_deployment=self.deployment_name, + # Retry Configuration + timeout=self.request_timeout, + max_retries=self.max_retries, + ) + self.set_clients(sync_client=sync_client, async_client=async_client) + + else: + sync_client = OpenAI( + api_key=self.api_key, + base_url=self.api_base, + organization=self.organization, + # Retry Configuration + timeout=self.request_timeout, + max_retries=self.max_retries, + ) + + async_client = AsyncOpenAI( + api_key=self.api_key, + base_url=self.api_base, + organization=self.organization, + # Retry Configuration + timeout=self.request_timeout, + max_retries=self.max_retries, + ) + self.set_clients(sync_client=sync_client, async_client=async_client) + + +class OpenAITextEmbeddingImpl(BaseTextEmbedding): + """Orchestration OpenAI Text Embedding Implementation.""" + + _reporter: StatusReporter | None = None + + def _create_openai_client(self, api_type: OpenaiApiType): + """Create a new synchronous and asynchronous OpenAI client instance.""" diff --git a/graphrag/query/llm/oai/chat_openai.py b/graphrag/query/llm/oai/chat_openai.py new file mode 100644 index 00000000..8314f3a2 --- /dev/null +++ b/graphrag/query/llm/oai/chat_openai.py @@ -0,0 +1,196 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Chat-based OpenAI LLM implementation.""" + +from collections.abc import Callable +from typing import Any + +from tenacity import ( + AsyncRetrying, + RetryError, + Retrying, + retry_if_exception_type, + stop_after_attempt, + wait_exponential_jitter, +) + +from graphrag.query.llm.base import BaseLLM, BaseLLMCallback +from graphrag.query.llm.oai.base import OpenAILLMImpl +from graphrag.query.llm.oai.typing import ( + OPENAI_RETRY_ERROR_TYPES, + OpenaiApiType, +) +from graphrag.query.progress import StatusReporter + +_MODEL_REQUIRED_MSG = "model is required" + + +class ChatOpenAI(BaseLLM, OpenAILLMImpl): + """Wrapper for OpenAI ChatCompletion models.""" + + def __init__( + self, + api_key: str | None = None, + model: str | None = None, + azure_ad_token_provider: Callable | None = None, + deployment_name: str | None = None, + api_base: str | None = None, + api_version: str | None = None, + api_type: OpenaiApiType = OpenaiApiType.OpenAI, + organization: str | None = None, + max_retries: int = 10, + request_timeout: float = 180.0, + retry_error_types: tuple[type[BaseException]] = OPENAI_RETRY_ERROR_TYPES, # type: ignore + reporter: StatusReporter | None = None, + ): + OpenAILLMImpl.__init__( + self=self, + api_key=api_key, + azure_ad_token_provider=azure_ad_token_provider, + deployment_name=deployment_name, + api_base=api_base, + api_version=api_version, + api_type=api_type, # type: ignore + organization=organization, + max_retries=max_retries, + request_timeout=request_timeout, + reporter=reporter, + ) + self.model = model + self.retry_error_types = retry_error_types + + def generate( + self, + messages: str | list[Any], + streaming: bool = True, + callbacks: list[BaseLLMCallback] | None = None, + **kwargs: Any, + ) -> str: + """Generate text.""" + try: + retryer = Retrying( + stop=stop_after_attempt(self.max_retries), + wait=wait_exponential_jitter(max=10), + reraise=True, + retry=retry_if_exception_type(self.retry_error_types), + ) + for attempt in retryer: + with attempt: + return self._generate( + messages=messages, + streaming=streaming, + callbacks=callbacks, + **kwargs, + ) + except RetryError as e: + self._reporter.error( + message="Error at generate()", details={self.__class__.__name__: str(e)} + ) + return "" + else: + # TODO: why not just throw in this case? + return "" + + async def agenerate( + self, + messages: str | list[Any], + streaming: bool = True, + callbacks: list[BaseLLMCallback] | None = None, + **kwargs: Any, + ) -> str: + """Generate text asynchronously.""" + try: + retryer = AsyncRetrying( + stop=stop_after_attempt(self.max_retries), + wait=wait_exponential_jitter(max=10), + reraise=True, + retry=retry_if_exception_type(self.retry_error_types), # type: ignore + ) + async for attempt in retryer: + with attempt: + return await self._agenerate( + messages=messages, + streaming=streaming, + callbacks=callbacks, + **kwargs, + ) + except RetryError as e: + self._reporter.error(f"Error at agenerate(): {e}") + return "" + else: + # TODO: why not just throw in this case? + return "" + + def _generate( + self, + messages: str | list[Any], + streaming: bool = True, + callbacks: list[BaseLLMCallback] | None = None, + **kwargs: Any, + ) -> str: + model = self.model + if not model: + raise ValueError(_MODEL_REQUIRED_MSG) + response = self.sync_client.chat.completions.create( # type: ignore + model=model, + messages=messages, # type: ignore + stream=streaming, + **kwargs, + ) # type: ignore + if streaming: + full_response = "" + while True: + try: + chunk = response.__next__() # type: ignore + if not chunk or not chunk.choices: + continue + + delta = chunk.choices[0].delta.content or "" # type: ignore + full_response += delta + if callbacks: + for callback in callbacks: + callback.on_llm_new_token(delta) + if chunk.choices[0].finish_reason == "stop": # type: ignore + break + except StopIteration: + break + return full_response + return response.choices[0].message.content or "" # type: ignore + + async def _agenerate( + self, + messages: str | list[Any], + streaming: bool = True, + callbacks: list[BaseLLMCallback] | None = None, + **kwargs: Any, + ) -> str: + model = self.model + if not model: + raise ValueError(_MODEL_REQUIRED_MSG) + response = await self.async_client.chat.completions.create( # type: ignore + model=model, + messages=messages, # type: ignore + stream=streaming, + **kwargs, + ) + if streaming: + full_response = "" + while True: + try: + chunk = await response.__anext__() # type: ignore + if not chunk or not chunk.choices: + continue + + delta = chunk.choices[0].delta.content or "" # type: ignore + full_response += delta + if callbacks: + for callback in callbacks: + callback.on_llm_new_token(delta) + if chunk.choices[0].finish_reason == "stop": # type: ignore + break + except StopIteration: + break + return full_response + + return response.choices[0].message.content or "" # type: ignore diff --git a/graphrag/query/llm/oai/embedding.py b/graphrag/query/llm/oai/embedding.py new file mode 100644 index 00000000..f40372db --- /dev/null +++ b/graphrag/query/llm/oai/embedding.py @@ -0,0 +1,182 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""OpenAI Embedding model implementation.""" + +import asyncio +from collections.abc import Callable +from typing import Any + +import numpy as np +import tiktoken +from tenacity import ( + AsyncRetrying, + RetryError, + Retrying, + retry_if_exception_type, + stop_after_attempt, + wait_exponential_jitter, +) + +from graphrag.query.llm.base import BaseTextEmbedding +from graphrag.query.llm.oai.base import OpenAILLMImpl +from graphrag.query.llm.oai.typing import ( + OPENAI_RETRY_ERROR_TYPES, + OpenaiApiType, +) +from graphrag.query.llm.text_utils import chunk_text +from graphrag.query.progress import StatusReporter + + +class OpenAIEmbedding(BaseTextEmbedding, OpenAILLMImpl): + """Wrapper for OpenAI Embedding models.""" + + def __init__( + self, + api_key: str | None = None, + azure_ad_token_provider: Callable | None = None, + model: str = "text-embedding-3-small", + deployment_name: str | None = None, + api_base: str | None = None, + api_version: str | None = None, + api_type: OpenaiApiType = OpenaiApiType.OpenAI, + organization: str | None = None, + encoding_name: str = "cl100k_base", + max_tokens: int = 8191, + max_retries: int = 10, + request_timeout: float = 180.0, + retry_error_types: tuple[type[BaseException]] = OPENAI_RETRY_ERROR_TYPES, # type: ignore + reporter: StatusReporter | None = None, + ): + OpenAILLMImpl.__init__( + self=self, + api_key=api_key, + azure_ad_token_provider=azure_ad_token_provider, + deployment_name=deployment_name, + api_base=api_base, + api_version=api_version, + api_type=api_type, # type: ignore + organization=organization, + max_retries=max_retries, + request_timeout=request_timeout, + reporter=reporter, + ) + + self.model = model + self.encoding_name = encoding_name + self.max_tokens = max_tokens + self.token_encoder = tiktoken.get_encoding(self.encoding_name) + self.retry_error_types = retry_error_types + + def embed(self, text: str, **kwargs: Any) -> list[float]: + """ + Embed text using OpenAI Embedding's sync function. + + For text longer than max_tokens, chunk texts into max_tokens, embed each chunk, then combine using weighted average. + Please refer to: https://github.com/openai/openai-cookbook/blob/main/examples/Embedding_long_inputs.ipynb + """ + token_chunks = chunk_text( + text=text, token_encoder=self.token_encoder, max_tokens=self.max_tokens + ) + chunk_embeddings = [] + chunk_lens = [] + for chunk in token_chunks: + try: + embedding, chunk_len = self._embed_with_retry(chunk, **kwargs) + chunk_embeddings.append(embedding) + chunk_lens.append(chunk_len) + # TODO: catch a more specific exception + except Exception as e: # noqa BLE001 + self._reporter.error( + message="Error embedding chunk", + details={self.__class__.__name__: str(e)}, + ) + + continue + chunk_embeddings = np.average(chunk_embeddings, axis=0, weights=chunk_lens) + chunk_embeddings = chunk_embeddings / np.linalg.norm(chunk_embeddings) + return chunk_embeddings.tolist() + + async def aembed(self, text: str, **kwargs: Any) -> list[float]: + """ + Embed text using OpenAI Embedding's async function. + + For text longer than max_tokens, chunk texts into max_tokens, embed each chunk, then combine using weighted average. + """ + token_chunks = chunk_text( + text=text, token_encoder=self.token_encoder, max_tokens=self.max_tokens + ) + chunk_embeddings = [] + chunk_lens = [] + embedding_results = await asyncio.gather(*[ + self._aembed_with_retry(chunk, **kwargs) for chunk in token_chunks + ]) + embedding_results = [result for result in embedding_results if result[0]] + chunk_embeddings = [result[0] for result in embedding_results] + chunk_lens = [result[1] for result in embedding_results] + chunk_embeddings = np.average(chunk_embeddings, axis=0, weights=chunk_lens) # type: ignore + chunk_embeddings = chunk_embeddings / np.linalg.norm(chunk_embeddings) + return chunk_embeddings.tolist() + + def _embed_with_retry( + self, text: str | tuple, **kwargs: Any + ) -> tuple[list[float], int]: + try: + retryer = Retrying( + stop=stop_after_attempt(self.max_retries), + wait=wait_exponential_jitter(max=10), + reraise=True, + retry=retry_if_exception_type(self.retry_error_types), + ) + for attempt in retryer: + with attempt: + embedding = ( + self.sync_client.embeddings.create( # type: ignore + input=text, + model=self.model, + **kwargs, # type: ignore + ) + .data[0] + .embedding + or [] + ) + return (embedding, len(text)) + except RetryError as e: + self._reporter.error( + message="Error at embed_with_retry()", + details={self.__class__.__name__: str(e)}, + ) + return ([], 0) + else: + # TODO: why not just throw in this case? + return ([], 0) + + async def _aembed_with_retry( + self, text: str | tuple, **kwargs: Any + ) -> tuple[list[float], int]: + try: + retryer = AsyncRetrying( + stop=stop_after_attempt(self.max_retries), + wait=wait_exponential_jitter(max=10), + reraise=True, + retry=retry_if_exception_type(self.retry_error_types), + ) + async for attempt in retryer: + with attempt: + embedding = ( + await self.async_client.embeddings.create( # type: ignore + input=text, + model=self.model, + **kwargs, # type: ignore + ) + ).data[0].embedding or [] + return (embedding, len(text)) + except RetryError as e: + self._reporter.error( + message="Error at embed_with_retry()", + details={self.__class__.__name__: str(e)}, + ) + return ([], 0) + else: + # TODO: why not just throw in this case? + return ([], 0) diff --git a/graphrag/query/llm/oai/openai.py b/graphrag/query/llm/oai/openai.py new file mode 100644 index 00000000..e714709c --- /dev/null +++ b/graphrag/query/llm/oai/openai.py @@ -0,0 +1,171 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""OpenAI Wrappers for Orchestration.""" + +import logging +from typing import Any + +from tenacity import ( + AsyncRetrying, + RetryError, + Retrying, + retry_if_exception_type, + stop_after_attempt, + wait_exponential_jitter, +) + +from graphrag.query.llm.base import BaseLLMCallback +from graphrag.query.llm.oai.base import OpenAILLMImpl +from graphrag.query.llm.oai.typing import ( + OPENAI_RETRY_ERROR_TYPES, + OpenaiApiType, +) + +log = logging.getLogger(__name__) + + +class OpenAI(OpenAILLMImpl): + """Wrapper for OpenAI Completion models.""" + + def __init__( + self, + api_key: str, + model: str, + deployment_name: str | None = None, + api_base: str | None = None, + api_version: str | None = None, + api_type: OpenaiApiType = OpenaiApiType.OpenAI, + organization: str | None = None, + max_retries: int = 10, + retry_error_types: tuple[type[BaseException]] = OPENAI_RETRY_ERROR_TYPES, # type: ignore + ): + self.api_key = api_key + self.model = model + self.deployment_name = deployment_name + self.api_base = api_base + self.api_version = api_version + self.api_type = api_type + self.organization = organization + self.max_retries = max_retries + self.retry_error_types = retry_error_types + + def generate( + self, + messages: str | list[str], + streaming: bool = True, + callbacks: list[BaseLLMCallback] | None = None, + **kwargs: Any, + ) -> str: + """Generate text.""" + try: + retryer = Retrying( + stop=stop_after_attempt(self.max_retries), + wait=wait_exponential_jitter(max=10), + reraise=True, + retry=retry_if_exception_type(self.retry_error_types), + ) + for attempt in retryer: + with attempt: + return self._generate( + messages=messages, + streaming=streaming, + callbacks=callbacks, + **kwargs, + ) + except RetryError: + log.exception("RetryError at generate(): %s") + return "" + else: + # TODO: why not just throw in this case? + return "" + + async def agenerate( + self, + messages: str | list[str], + streaming: bool = True, + callbacks: list[BaseLLMCallback] | None = None, + **kwargs: Any, + ) -> str: + """Generate Text Asynchronously.""" + try: + retryer = AsyncRetrying( + stop=stop_after_attempt(self.max_retries), + wait=wait_exponential_jitter(max=10), + reraise=True, + retry=retry_if_exception_type(self.retry_error_types), + ) + async for attempt in retryer: + with attempt: + return await self._agenerate( + messages=messages, + streaming=streaming, + callbacks=callbacks, + **kwargs, + ) + except RetryError: + log.exception("Error at agenerate()") + return "" + else: + # TODO: why not just throw in this case? + return "" + + def _generate( + self, + messages: str | list[str], + streaming: bool = True, + callbacks: list[BaseLLMCallback] | None = None, + **kwargs: Any, + ) -> str: + response = self.sync_client.chat.completions.create( # type: ignore + model=self.model, + messages=messages, # type: ignore + stream=streaming, + **kwargs, + ) # type: ignore + if streaming: + full_response = "" + while True: + try: + chunk = response.__next__() # type: ignore + delta = chunk.choices[0].delta.content or "" # type: ignore + full_response += delta + if callbacks: + for callback in callbacks: + callback.on_llm_new_token(delta) + if chunk.choices[0].finish_reason == "stop": # type: ignore + break + except StopIteration: + break + return full_response + return response.choices[0].message.content or "" # type: ignore + + async def _agenerate( + self, + messages: str | list[str], + streaming: bool = True, + callbacks: list[BaseLLMCallback] | None = None, + **kwargs: Any, + ) -> str: + response = await self.async_client.chat.completions.create( # type: ignore + model=self.model, + messages=messages, # type: ignore + stream=streaming, + **kwargs, + ) + if streaming: + full_response = "" + while True: + try: + chunk = await response.__anext__() # type: ignore + delta = chunk.choices[0].delta.content or "" # type: ignore + full_response += delta + if callbacks: + for callback in callbacks: + callback.on_llm_new_token(delta) + if chunk.choices[0].finish_reason == "stop": # type: ignore + break + except StopIteration: + break + return full_response + return response.choices[0].message.content or "" # type: ignore diff --git a/graphrag/query/llm/oai/typing.py b/graphrag/query/llm/oai/typing.py new file mode 100644 index 00000000..399a82f6 --- /dev/null +++ b/graphrag/query/llm/oai/typing.py @@ -0,0 +1,23 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""OpenAI wrapper options.""" + +from enum import Enum +from typing import Any, cast + +import openai + +OPENAI_RETRY_ERROR_TYPES = ( + # TODO: update these when we update to OpenAI 1+ library + cast(Any, openai).RateLimitError, + cast(Any, openai).APIConnectionError, + # TODO: replace with comparable OpenAI 1+ error +) + + +class OpenaiApiType(str, Enum): + """The OpenAI Flavor.""" + + OpenAI = "openai" + AzureOpenAI = "azure" diff --git a/graphrag/query/llm/text_utils.py b/graphrag/query/llm/text_utils.py new file mode 100644 index 00000000..d60e6304 --- /dev/null +++ b/graphrag/query/llm/text_utils.py @@ -0,0 +1,42 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Text Utilities for LLM.""" + +from collections.abc import Iterator +from itertools import islice + +import tiktoken + + +def num_tokens(text: str, token_encoder: tiktoken.Encoding | None = None) -> int: + """Return the number of tokens in the given text.""" + if token_encoder is None: + token_encoder = tiktoken.get_encoding("cl100k_base") + return len(token_encoder.encode(text)) # type: ignore + + +def batched(iterable: Iterator, n: int): + """ + Batch data into tuples of length n. The last batch may be shorter. + + Taken from Python's cookbook: https://docs.python.org/3/library/itertools.html#itertools.batched + """ + # batched('ABCDEFG', 3) --> ABC DEF G + if n < 1: + value_error = "n must be at least one" + raise ValueError(value_error) + it = iter(iterable) + while batch := tuple(islice(it, n)): + yield batch + + +def chunk_text( + text: str, max_tokens: int, token_encoder: tiktoken.Encoding | None = None +): + """Chunk text by token length.""" + if token_encoder is None: + token_encoder = tiktoken.get_encoding("cl100k_base") + tokens = token_encoder.encode(text) # type: ignore + chunk_iterator = batched(iter(tokens), max_tokens) + yield from chunk_iterator diff --git a/graphrag/query/progress.py b/graphrag/query/progress.py new file mode 100644 index 00000000..ad5bcee7 --- /dev/null +++ b/graphrag/query/progress.py @@ -0,0 +1,43 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Status Reporter for orchestration.""" + +from abc import ABCMeta, abstractmethod +from typing import Any + + +class StatusReporter(metaclass=ABCMeta): + """Provides a way to report status updates from the pipeline.""" + + @abstractmethod + def error(self, message: str, details: dict[str, Any] | None = None): + """Report an error.""" + + @abstractmethod + def warning(self, message: str, details: dict[str, Any] | None = None): + """Report a warning.""" + + @abstractmethod + def log(self, message: str, details: dict[str, Any] | None = None): + """Report a log.""" + + +class ConsoleStatusReporter(StatusReporter): + """A reporter that writes to a console.""" + + def error(self, message: str, details: dict[str, Any] | None = None): + """Report an error.""" + print(message, details) # noqa T201 + + def warning(self, message: str, details: dict[str, Any] | None = None): + """Report a warning.""" + _print_warning(message) + + def log(self, message: str, details: dict[str, Any] | None = None): + """Report a log.""" + print(message, details) # noqa T201 + + +def _print_warning(skk): + print(f"\033[93m {skk}\033[00m") # noqa T201 diff --git a/graphrag/query/question_gen/__init__.py b/graphrag/query/question_gen/__init__.py new file mode 100644 index 00000000..d7329277 --- /dev/null +++ b/graphrag/query/question_gen/__init__.py @@ -0,0 +1,4 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Question Generation Module.""" diff --git a/graphrag/query/question_gen/base.py b/graphrag/query/question_gen/base.py new file mode 100644 index 00000000..959b63d7 --- /dev/null +++ b/graphrag/query/question_gen/base.py @@ -0,0 +1,65 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Base classes for generating questions based on previously asked questions and most recent context data.""" + +from abc import ABC, abstractmethod +from dataclasses import dataclass +from typing import Any + +import tiktoken + +from graphrag.query.context_builder.builders import ( + GlobalContextBuilder, + LocalContextBuilder, +) +from graphrag.query.llm.base import BaseLLM + + +@dataclass +class QuestionResult: + """A Structured Question Result.""" + + response: list[str] + context_data: str | dict[str, Any] + completion_time: float + llm_calls: int + prompt_tokens: int + + +class BaseQuestionGen(ABC): + """The Base Question Gen implementation.""" + + def __init__( + self, + llm: BaseLLM, + context_builder: GlobalContextBuilder | LocalContextBuilder, + token_encoder: tiktoken.Encoding | None = None, + llm_params: dict[str, Any] | None = None, + context_builder_params: dict[str, Any] | None = None, + ): + self.llm = llm + self.context_builder = context_builder + self.token_encoder = token_encoder + self.llm_params = llm_params or {} + self.context_builder_params = context_builder_params or {} + + @abstractmethod + def generate( + self, + question_history: list[str], + context_data: str | None, + question_count: int, + **kwargs, + ) -> QuestionResult: + """Generate questions.""" + + @abstractmethod + async def agenerate( + self, + question_history: list[str], + context_data: str | None, + question_count: int, + **kwargs, + ) -> QuestionResult: + """Generate questions asynchronously.""" diff --git a/graphrag/query/question_gen/local_gen.py b/graphrag/query/question_gen/local_gen.py new file mode 100644 index 00000000..ca703a66 --- /dev/null +++ b/graphrag/query/question_gen/local_gen.py @@ -0,0 +1,194 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Local question generation.""" + +import logging +import time +from typing import Any + +import tiktoken + +from graphrag.query.context_builder.builders import LocalContextBuilder +from graphrag.query.context_builder.conversation_history import ( + ConversationHistory, +) +from graphrag.query.llm.base import BaseLLM, BaseLLMCallback +from graphrag.query.llm.text_utils import num_tokens +from graphrag.query.question_gen.base import BaseQuestionGen, QuestionResult +from graphrag.query.question_gen.system_prompt import QUESTION_SYSTEM_PROMPT + +log = logging.getLogger(__name__) + + +class LocalQuestionGen(BaseQuestionGen): + """Search orchestration for global search mode.""" + + def __init__( + self, + llm: BaseLLM, + context_builder: LocalContextBuilder, + token_encoder: tiktoken.Encoding | None = None, + system_prompt: str = QUESTION_SYSTEM_PROMPT, + callbacks: list[BaseLLMCallback] | None = None, + llm_params: dict[str, Any] | None = None, + context_builder_params: dict[str, Any] | None = None, + ): + super().__init__( + llm=llm, + context_builder=context_builder, + token_encoder=token_encoder, + llm_params=llm_params, + context_builder_params=context_builder_params, + ) + self.system_prompt = system_prompt + self.callbacks = callbacks + + async def agenerate( + self, + question_history: list[str], + context_data: str | None, + question_count: int, + **kwargs, + ) -> QuestionResult: + """ + Generate a question based on the question history and context data. + + If context data is not provided, it will be generated by the local context builder + """ + start_time = time.time() + + if len(question_history) == 0: + question_text = "" + conversation_history = None + else: + # construct current query and conversation history + question_text = question_history[-1] + history = [ + {"role": "user", "content": query} for query in question_history[:-1] + ] + conversation_history = ConversationHistory.from_list(history) + + if context_data is None: + # generate context data based on the question history + context_data, context_records = self.context_builder.build_context( + query=question_text, + conversation_history=conversation_history, + **kwargs, + **self.context_builder_params, + ) # type: ignore + else: + context_records = {"context_data": context_data} + log.info("GENERATE QUESTION: %s. LAST QUESTION: %s", start_time, question_text) + system_prompt = "" + try: + system_prompt = self.system_prompt.format( + context_data=context_data, question_count=question_count + ) + question_messages = [ + {"role": "system", "content": system_prompt}, + {"role": "user", "content": question_text}, + ] + + response = await self.llm.agenerate( + messages=question_messages, + streaming=True, + callbacks=self.callbacks, + **self.llm_params, + ) + + return QuestionResult( + response=response.split("\n"), + context_data={ + "question_context": question_text, + **context_records, + }, + completion_time=time.time() - start_time, + llm_calls=1, + prompt_tokens=num_tokens(system_prompt, self.token_encoder), + ) + + except Exception: + log.exception("Exception in generating question") + return QuestionResult( + response=[], + context_data=context_records, + completion_time=time.time() - start_time, + llm_calls=1, + prompt_tokens=num_tokens(system_prompt, self.token_encoder), + ) + + def generate( + self, + question_history: list[str], + context_data: str | None, + question_count: int, + **kwargs, + ) -> QuestionResult: + """ + Generate a question based on the question history and context data. + + If context data is not provided, it will be generated by the local context builder + """ + start_time = time.time() + if len(question_history) == 0: + question_text = "" + conversation_history = None + else: + # construct current query and conversation history + question_text = question_history[-1] + history = [ + {"role": "user", "content": query} for query in question_history[:-1] + ] + conversation_history = ConversationHistory.from_list(history) + + if context_data is None: + # generate context data based on the question history + context_data, context_records = self.context_builder.build_context( + query=question_text, + conversation_history=conversation_history, + **kwargs, + **self.context_builder_params, + ) # type: ignore + else: + context_records = {"context_data": context_data} + log.info( + "GENERATE QUESTION: %s. QUESTION HISTORY: %s", start_time, question_text + ) + system_prompt = "" + try: + system_prompt = self.system_prompt.format( + context_data=context_data, question_count=question_count + ) + question_messages = [ + {"role": "system", "content": system_prompt}, + {"role": "user", "content": question_text}, + ] + + response = self.llm.generate( + messages=question_messages, + streaming=True, + callbacks=self.callbacks, + **self.llm_params, + ) + + return QuestionResult( + response=response.split("\n"), + context_data={ + "question_context": question_text, + **context_records, + }, + completion_time=time.time() - start_time, + llm_calls=1, + prompt_tokens=num_tokens(system_prompt, self.token_encoder), + ) + + except Exception: + log.exception("Exception in generating questions") + return QuestionResult( + response=[], + context_data=context_records, + completion_time=time.time() - start_time, + llm_calls=1, + prompt_tokens=num_tokens(system_prompt, self.token_encoder), + ) diff --git a/graphrag/query/question_gen/system_prompt.py b/graphrag/query/question_gen/system_prompt.py new file mode 100644 index 00000000..904ede24 --- /dev/null +++ b/graphrag/query/question_gen/system_prompt.py @@ -0,0 +1,28 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Question Generation system prompts.""" + +QUESTION_SYSTEM_PROMPT = """ +---Role--- + +You are a helpful assistant generating a bulleted list of {question_count} questions about data in the tables provided. + + +---Data tables--- + +{context_data} + + +---Goal--- + +Given a series of example questions provided by the user, generate a bulleted list of {question_count} candidates for the next question. Use - marks as bullet points. + +These candidate questions should represent the most important or urgent information content or themes in the data tables. + +The candidate questions should be answerable using the data tables provided, but should not mention any specific data fields or data tables in the question text. + +If the user's questions reference several named entities, then each candidate question should reference all named entities. + +---Example questions--- +""" diff --git a/graphrag/query/structured_search/__init__.py b/graphrag/query/structured_search/__init__.py new file mode 100644 index 00000000..b41baaf3 --- /dev/null +++ b/graphrag/query/structured_search/__init__.py @@ -0,0 +1,4 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Structured Search package.""" diff --git a/graphrag/query/structured_search/base.py b/graphrag/query/structured_search/base.py new file mode 100644 index 00000000..6dd02485 --- /dev/null +++ b/graphrag/query/structured_search/base.py @@ -0,0 +1,69 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Base classes for search algos.""" + +from abc import ABC, abstractmethod +from dataclasses import dataclass +from typing import Any + +import pandas as pd +import tiktoken + +from graphrag.query.context_builder.builders import ( + GlobalContextBuilder, + LocalContextBuilder, +) +from graphrag.query.context_builder.conversation_history import ( + ConversationHistory, +) +from graphrag.query.llm.base import BaseLLM + + +@dataclass +class SearchResult: + """A Structured Search Result.""" + + response: str | dict[str, Any] | list[dict[str, Any]] + context_data: str | list[pd.DataFrame] | dict[str, pd.DataFrame] + # actual text strings that are in the context window, built from context_data + context_text: str | list[str] | dict[str, str] + completion_time: float + llm_calls: int + prompt_tokens: int + + +class BaseSearch(ABC): + """The Base Search implementation.""" + + def __init__( + self, + llm: BaseLLM, + context_builder: GlobalContextBuilder | LocalContextBuilder, + token_encoder: tiktoken.Encoding | None = None, + llm_params: dict[str, Any] | None = None, + context_builder_params: dict[str, Any] | None = None, + ): + self.llm = llm + self.context_builder = context_builder + self.token_encoder = token_encoder + self.llm_params = llm_params or {} + self.context_builder_params = context_builder_params or {} + + @abstractmethod + def search( + self, + query: str, + conversation_history: ConversationHistory | None = None, + **kwargs, + ) -> SearchResult: + """Search for the given query.""" + + @abstractmethod + async def asearch( + self, + query: str, + conversation_history: ConversationHistory | None = None, + **kwargs, + ) -> SearchResult: + """Search for the given query asynchronously.""" diff --git a/graphrag/query/structured_search/global_search/__init__.py b/graphrag/query/structured_search/global_search/__init__.py new file mode 100644 index 00000000..ba73b609 --- /dev/null +++ b/graphrag/query/structured_search/global_search/__init__.py @@ -0,0 +1,4 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""GlobalSearch module.""" diff --git a/graphrag/query/structured_search/global_search/callbacks.py b/graphrag/query/structured_search/global_search/callbacks.py new file mode 100644 index 00000000..f48bb79b --- /dev/null +++ b/graphrag/query/structured_search/global_search/callbacks.py @@ -0,0 +1,24 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""GlobalSearch LLM Callbacks.""" + +from graphrag.query.llm.base import BaseLLMCallback +from graphrag.query.structured_search.base import SearchResult + + +class GlobalSearchLLMCallback(BaseLLMCallback): + """GlobalSearch LLM Callbacks.""" + + def __init__(self): + super().__init__() + self.map_response_contexts = [] + self.map_response_outputs = [] + + def on_map_response_start(self, map_response_contexts: list[str]): + """Handle the start of map response.""" + self.map_response_contexts = map_response_contexts + + def on_map_response_end(self, map_response_outputs: list[SearchResult]): + """Handle the end of map response.""" + self.map_response_outputs = map_response_outputs diff --git a/graphrag/query/structured_search/global_search/community_context.py b/graphrag/query/structured_search/global_search/community_context.py new file mode 100644 index 00000000..d63320c8 --- /dev/null +++ b/graphrag/query/structured_search/global_search/community_context.py @@ -0,0 +1,99 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Contains algorithms to build context data for global search prompt.""" + +from typing import Any + +import pandas as pd +import tiktoken + +from graphrag.model import CommunityReport, Entity +from graphrag.query.context_builder.community_context import ( + build_community_context, +) +from graphrag.query.context_builder.conversation_history import ( + ConversationHistory, +) +from graphrag.query.structured_search.base import GlobalContextBuilder + + +class GlobalCommunityContext(GlobalContextBuilder): + """GlobalSearch community context builder.""" + + def __init__( + self, + community_reports: list[CommunityReport], + entities: list[Entity] | None = None, + token_encoder: tiktoken.Encoding | None = None, + random_state: int = 86, + ): + self.community_reports = community_reports + self.entities = entities + self.token_encoder = token_encoder + self.random_state = random_state + + def build_context( + self, + conversation_history: ConversationHistory | None = None, + use_community_summary: bool = True, + column_delimiter: str = "|", + shuffle_data: bool = True, + include_community_rank: bool = False, + min_community_rank: int = 0, + community_rank_name: str = "rank", + include_community_weight: bool = True, + community_weight_name: str = "occurrence", + normalize_community_weight: bool = True, + max_tokens: int = 8000, + context_name: str = "Reports", + conversation_history_user_turns_only: bool = True, + conversation_history_max_turns: int | None = 5, + **kwargs: Any, + ) -> tuple[str | list[str], dict[str, pd.DataFrame]]: + """Prepare batches of community report data table as context data for global search.""" + conversation_history_context = "" + final_context_data = {} + if conversation_history: + # build conversation history context + ( + conversation_history_context, + conversation_history_context_data, + ) = conversation_history.build_context( + include_user_turns_only=conversation_history_user_turns_only, + max_qa_turns=conversation_history_max_turns, + column_delimiter=column_delimiter, + max_tokens=max_tokens, + recency_bias=False, + ) + if conversation_history_context != "": + final_context_data = conversation_history_context_data + + community_context, community_context_data = build_community_context( + community_reports=self.community_reports, + entities=self.entities, + token_encoder=self.token_encoder, + use_community_summary=use_community_summary, + column_delimiter=column_delimiter, + shuffle_data=shuffle_data, + include_community_rank=include_community_rank, + min_community_rank=min_community_rank, + community_rank_name=community_rank_name, + include_community_weight=include_community_weight, + community_weight_name=community_weight_name, + normalize_community_weight=normalize_community_weight, + max_tokens=max_tokens, + single_batch=False, + context_name=context_name, + random_state=self.random_state, + ) + if isinstance(community_context, list): + final_context = [ + f"{conversation_history_context}\n\n{context}" + for context in community_context + ] + else: + final_context = f"{conversation_history_context}\n\n{community_context}" + + final_context_data.update(community_context_data) + return (final_context, final_context_data) diff --git a/graphrag/query/structured_search/global_search/map_system_prompt.py b/graphrag/query/structured_search/global_search/map_system_prompt.py new file mode 100644 index 00000000..db1a649d --- /dev/null +++ b/graphrag/query/structured_search/global_search/map_system_prompt.py @@ -0,0 +1,82 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""System prompts for global search.""" + +MAP_SYSTEM_PROMPT = """ +---Role--- + +You are a helpful assistant responding to questions about data in the tables provided. + + +---Goal--- + +Generate a response consisting of a list of key points that responds to the user's question, summarizing all relevant information in the input data tables. + +You should use the data provided in the data tables below as the primary context for generating the response. +If you don't know the answer or if the input data tables do not contain sufficient information to provide an answer, just say so. Do not make anything up. + +Each key point in the response should have the following element: +- Description: A comprehensive description of the point. +- Importance Score: An integer score between 0-100 that indicates how important the point is in answering the user's question. An 'I don't know' type of response should have a score of 0. + +The response should be JSON formatted as follows: +{{ + "points": [ + {{"description": "Description of point 1 [Data: Reports (report ids)]", "score": score_value}}, + {{"description": "Description of point 2 [Data: Reports (report ids)]", "score": score_value}} + ] +}} + +The response shall preserve the original meaning and use of modal verbs such as "shall", "may" or "will". + +Points supported by data should list the relevant reports as references as follows: +"This is an example sentence supported by data references [Data: Reports (report ids)]" + +**Do not list more than 5 record ids in a single reference**. Instead, list the top 5 most relevant record ids and add "+more" to indicate that there are more. + +For example: +"Person X is the owner of Company Y and subject to many allegations of wrongdoing [Data: Reports (2, 7, 64, 46, 34, +more)]. He is also CEO of company X [Data: Reports (1, 3)]" + +where 1, 2, 3, 7, 34, 46, and 64 represent the id (not the index) of the relevant data report in the provided tables. + +Do not include information where the supporting evidence for it is not provided. + + +---Data tables--- + +{context_data} + +---Goal--- + +Generate a response consisting of a list of key points that responds to the user's question, summarizing all relevant information in the input data tables. + +You should use the data provided in the data tables below as the primary context for generating the response. +If you don't know the answer or if the input data tables do not contain sufficient information to provide an answer, just say so. Do not make anything up. + +Each key point in the response should have the following element: +- Description: A comprehensive description of the point. +- Importance Score: An integer score between 0-100 that indicates how important the point is in answering the user's question. An 'I don't know' type of response should have a score of 0. + +The response shall preserve the original meaning and use of modal verbs such as "shall", "may" or "will". + +Points supported by data should list the relevant reports as references as follows: +"This is an example sentence supported by data references [Data: Reports (report ids)]" + +**Do not list more than 5 record ids in a single reference**. Instead, list the top 5 most relevant record ids and add "+more" to indicate that there are more. + +For example: +"Person X is the owner of Company Y and subject to many allegations of wrongdoing [Data: Reports (2, 7, 64, 46, 34, +more)]. He is also CEO of company X [Data: Reports (1, 3)]" + +where 1, 2, 3, 7, 34, 46, and 64 represent the id (not the index) of the relevant data report in the provided tables. + +Do not include information where the supporting evidence for it is not provided. + +The response should be JSON formatted as follows: +{{ + "points": [ + {{"description": "Description of point 1 [Data: Reports (report ids)]", "score": score_value}}, + {{"description": "Description of point 2 [Data: Reports (report ids)]", "score": score_value}} + ] +}} +""" diff --git a/graphrag/query/structured_search/global_search/reduce_system_prompt.py b/graphrag/query/structured_search/global_search/reduce_system_prompt.py new file mode 100644 index 00000000..70171781 --- /dev/null +++ b/graphrag/query/structured_search/global_search/reduce_system_prompt.py @@ -0,0 +1,88 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Global Search system prompts.""" + +REDUCE_SYSTEM_PROMPT = """ +---Role--- + +You are a helpful assistant responding to questions about a dataset by synthesizing perspectives from multiple analysts. + + +---Goal--- + +Generate a response of the target length and format that responds to the user's question, summarize all the reports from multiple analysts who focused on different parts of the dataset. + +Note that the analysts' reports provided below are ranked in the **descending order of importance**. + +If you don't know the answer or if the provided reports do not contain sufficient information to provide an answer, just say so. Do not make anything up. + +The final response should remove all irrelevant information from the analysts' reports and merge the cleaned information into a comprehensive answer that provides explanations of all the key points and implications appropriate for the response length and format. + +Add sections and commentary to the response as appropriate for the length and format. Style the response in markdown. + +The response shall preserve the original meaning and use of modal verbs such as "shall", "may" or "will". + +The response should also preserve all the data references previously included in the analysts' reports, but do not mention the roles of multiple analysts in the analysis process. + +**Do not list more than 5 record ids in a single reference**. Instead, list the top 5 most relevant record ids and add "+more" to indicate that there are more. + +For example: + +"Person X is the owner of Company Y and subject to many allegations of wrongdoing [Data: Reports (2, 7, 34, 46, 64, +more)]. He is also CEO of company X [Data: Reports (1, 3)]" + +where 1, 2, 3, 7, 34, 46, and 64 represent the id (not the index) of the relevant data record. + +Do not include information where the supporting evidence for it is not provided. + + +---Target response length and format--- + +{response_type} + + +---Analyst Reports--- + +{report_data} + + +---Goal--- + +Generate a response of the target length and format that responds to the user's question, summarize all the reports from multiple analysts who focused on different parts of the dataset. + +Note that the analysts' reports provided below are ranked in the **descending order of importance**. + +If you don't know the answer or if the provided reports do not contain sufficient information to provide an answer, just say so. Do not make anything up. + +The final response should remove all irrelevant information from the analysts' reports and merge the cleaned information into a comprehensive answer that provides explanations of all the key points and implications appropriate for the response length and format. + +The response shall preserve the original meaning and use of modal verbs such as "shall", "may" or "will". + +The response should also preserve all the data references previously included in the analysts' reports, but do not mention the roles of multiple analysts in the analysis process. + +**Do not list more than 5 record ids in a single reference**. Instead, list the top 5 most relevant record ids and add "+more" to indicate that there are more. + +For example: + +"Person X is the owner of Company Y and subject to many allegations of wrongdoing [Data: Reports (2, 7, 34, 46, 64, +more)]. He is also CEO of company X [Data: Reports (1, 3)]" + +where 1, 2, 3, 7, 34, 46, and 64 represent the id (not the index) of the relevant data record. + +Do not include information where the supporting evidence for it is not provided. + + +---Target response length and format--- + +{response_type} + +Add sections and commentary to the response as appropriate for the length and format. Style the response in markdown. +""" + +NO_DATA_ANSWER = ( + "I am sorry but I am unable to answer this question given the provided data." +) + +GENERAL_KNOWLEDGE_INSTRUCTION = """ +The response may also include relevant real-world knowledge outside the dataset, but it must be explicitly annotated with a verification tag [LLM: verify]. For example: +"This is an example sentence supported by real-world knowledge [LLM: verify]." +""" diff --git a/graphrag/query/structured_search/global_search/search.py b/graphrag/query/structured_search/global_search/search.py new file mode 100644 index 00000000..3b52ecbd --- /dev/null +++ b/graphrag/query/structured_search/global_search/search.py @@ -0,0 +1,347 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The GlobalSearch Implementation.""" + +import asyncio +import json +import logging +import time +from dataclasses import dataclass +from typing import Any + +import pandas as pd +import tiktoken + +from graphrag.index.utils.json import clean_up_json +from graphrag.query.context_builder.builders import GlobalContextBuilder +from graphrag.query.context_builder.conversation_history import ( + ConversationHistory, +) +from graphrag.query.llm.base import BaseLLM +from graphrag.query.llm.text_utils import num_tokens +from graphrag.query.structured_search.base import BaseSearch, SearchResult +from graphrag.query.structured_search.global_search.callbacks import ( + GlobalSearchLLMCallback, +) +from graphrag.query.structured_search.global_search.map_system_prompt import ( + MAP_SYSTEM_PROMPT, +) +from graphrag.query.structured_search.global_search.reduce_system_prompt import ( + GENERAL_KNOWLEDGE_INSTRUCTION, + NO_DATA_ANSWER, + REDUCE_SYSTEM_PROMPT, +) + +DEFAULT_MAP_LLM_PARAMS = { + "max_tokens": 1000, + "temperature": 0.0, +} + +DEFAULT_REDUCE_LLM_PARAMS = { + "max_tokens": 2000, + "temperature": 0.0, +} + +log = logging.getLogger(__name__) + + +@dataclass +class GlobalSearchResult(SearchResult): + """A GlobalSearch result.""" + + map_responses: list[SearchResult] + reduce_context_data: str | list[pd.DataFrame] | dict[str, pd.DataFrame] + reduce_context_text: str | list[str] | dict[str, str] + + +class GlobalSearch(BaseSearch): + """Search orchestration for global search mode.""" + + def __init__( + self, + llm: BaseLLM, + context_builder: GlobalContextBuilder, + token_encoder: tiktoken.Encoding | None = None, + map_system_prompt: str = MAP_SYSTEM_PROMPT, + reduce_system_prompt: str = REDUCE_SYSTEM_PROMPT, + response_type: str = "multiple paragraphs", + allow_general_knowledge: bool = False, + general_knowledge_inclusion_prompt: str = GENERAL_KNOWLEDGE_INSTRUCTION, + json_mode: bool = True, + callbacks: list[GlobalSearchLLMCallback] | None = None, + max_data_tokens: int = 8000, + map_llm_params: dict[str, Any] = DEFAULT_MAP_LLM_PARAMS, + reduce_llm_params: dict[str, Any] = DEFAULT_REDUCE_LLM_PARAMS, + context_builder_params: dict[str, Any] | None = None, + concurrent_coroutines: int = 32, + ): + super().__init__( + llm=llm, + context_builder=context_builder, + token_encoder=token_encoder, + context_builder_params=context_builder_params, + ) + self.map_system_prompt = map_system_prompt + self.reduce_system_prompt = reduce_system_prompt + self.response_type = response_type + self.allow_general_knowledge = allow_general_knowledge + self.general_knowledge_inclusion_prompt = general_knowledge_inclusion_prompt + self.callbacks = callbacks + self.max_data_tokens = max_data_tokens + + self.map_llm_params = map_llm_params + self.reduce_llm_params = reduce_llm_params + if json_mode: + self.map_llm_params["response_format"] = {"type": "json_object"} + else: + # remove response_format key if json_mode is False + self.map_llm_params.pop("response_format", None) + + self.semaphore = asyncio.Semaphore(concurrent_coroutines) + + async def asearch( + self, + query: str, + conversation_history: ConversationHistory | None = None, + **kwargs: Any, + ) -> GlobalSearchResult: + """ + Perform a global search. + + Global search mode includes two steps: + + - Step 1: Run parallel LLM calls on communities' short summaries to generate answer for each batch + - Step 2: Combine the answers from step 2 to generate the final answer + """ + # Step 1: Generate answers for each batch of community short summaries + start_time = time.time() + context_chunks, context_records = self.context_builder.build_context( + conversation_history=conversation_history, **self.context_builder_params + ) + + if self.callbacks: + for callback in self.callbacks: + callback.on_map_response_start(context_chunks) # type: ignore + map_responses = await asyncio.gather(*[ + self._map_response_single_batch( + context_data=data, query=query, **self.map_llm_params + ) + for data in context_chunks + ]) + if self.callbacks: + for callback in self.callbacks: + callback.on_map_response_end(map_responses) + map_llm_calls = sum(response.llm_calls for response in map_responses) + map_prompt_tokens = sum(response.prompt_tokens for response in map_responses) + + # Step 2: Combine the intermediate answers from step 2 to generate the final answer + reduce_response = await self._reduce_response( + map_responses=map_responses, + query=query, + **self.reduce_llm_params, + ) + + return GlobalSearchResult( + response=reduce_response.response, + context_data=context_records, + context_text=context_chunks, + map_responses=map_responses, + reduce_context_data=reduce_response.context_data, + reduce_context_text=reduce_response.context_text, + completion_time=time.time() - start_time, + llm_calls=map_llm_calls + reduce_response.llm_calls, + prompt_tokens=map_prompt_tokens + reduce_response.prompt_tokens, + ) + + def search( + self, + query: str, + conversation_history: ConversationHistory | None = None, + **kwargs: Any, + ) -> GlobalSearchResult: + """Perform a global search synchronously.""" + return asyncio.run(self.asearch(query, conversation_history)) + + async def _map_response_single_batch( + self, + context_data: str, + query: str, + **llm_kwargs, + ) -> SearchResult: + """Generate answer for a single chunk of community reports.""" + start_time = time.time() + search_prompt = "" + try: + search_prompt = self.map_system_prompt.format(context_data=context_data) + search_messages = [ + {"role": "system", "content": search_prompt}, + {"role": "user", "content": query}, + ] + async with self.semaphore: + search_response = await self.llm.agenerate( + messages=search_messages, streaming=False, **llm_kwargs + ) + log.info("Map response: %s", search_response) + try: + # parse search response json + processed_response = self.parse_search_response(search_response) + except ValueError: + # Clean up and retry parse + search_response = clean_up_json(search_response) + try: + # parse search response json + processed_response = self.parse_search_response(search_response) + except ValueError: + log.exception("Error parsing search response json") + processed_response = [] + + return SearchResult( + response=processed_response, + context_data=context_data, + context_text=context_data, + completion_time=time.time() - start_time, + llm_calls=1, + prompt_tokens=num_tokens(search_prompt, self.token_encoder), + ) + + except Exception: + log.exception("Exception in _map_response_single_batch") + return SearchResult( + response=[{"answer": "", "score": 0}], + context_data=context_data, + context_text=context_data, + completion_time=time.time() - start_time, + llm_calls=1, + prompt_tokens=num_tokens(search_prompt, self.token_encoder), + ) + + def parse_search_response(self, search_response: str) -> list[dict[str, Any]]: + """Parse the search response json and return a list of key points. + + Parameters + ---------- + search_response: str + The search response json string + + Returns + ------- + list[dict[str, Any]] + A list of key points, each key point is a dictionary with "answer" and "score" keys + """ + parsed_elements = json.loads(search_response)["points"] + return [ + { + "answer": element["description"], + "score": int(element["score"]), + } + for element in parsed_elements + ] + + async def _reduce_response( + self, + map_responses: list[SearchResult], + query: str, + **llm_kwargs, + ) -> SearchResult: + """Combine all intermediate responses from single batches into a final answer to the user query.""" + text_data = "" + search_prompt = "" + start_time = time.time() + try: + # collect all key points into a single list to prepare for sorting + key_points = [] + for index, response in enumerate(map_responses): + if not isinstance(response.response, list): + continue + for element in response.response: + if not isinstance(element, dict): + continue + if "answer" not in element or "score" not in element: + continue + key_points.append({ + "analyst": index, + "answer": element["answer"], + "score": element["score"], + }) + + # filter response with score = 0 and rank responses by descending order of score + filtered_key_points = [ + point + for point in key_points + if point["score"] > 0 # type: ignore + ] + + if len(filtered_key_points) == 0 and not self.allow_general_knowledge: + # return no data answer if no key points are found + return SearchResult( + response=NO_DATA_ANSWER, + context_data="", + context_text="", + completion_time=time.time() - start_time, + llm_calls=0, + prompt_tokens=0, + ) + + filtered_key_points = sorted( + filtered_key_points, + key=lambda x: x["score"], # type: ignore + reverse=True, # type: ignore + ) + + data = [] + total_tokens = 0 + for point in filtered_key_points: + formatted_response_data = [] + formatted_response_data.append( + f'----Analyst {point["analyst"] + 1}----' + ) + formatted_response_data.append( + f'Importance Score: {point["score"]}' # type: ignore + ) + formatted_response_data.append(point["answer"]) # type: ignore + formatted_response_text = "\n".join(formatted_response_data) + if ( + total_tokens + + num_tokens(formatted_response_text, self.token_encoder) + > self.max_data_tokens + ): + break + data.append(formatted_response_text) + total_tokens += num_tokens(formatted_response_text, self.token_encoder) + text_data = "\n\n".join(data) + + search_prompt = self.reduce_system_prompt.format( + report_data=text_data, response_type=self.response_type + ) + if self.allow_general_knowledge: + search_prompt += "\n" + self.general_knowledge_inclusion_prompt + search_messages = [ + {"role": "system", "content": search_prompt}, + {"role": "user", "content": query}, + ] + + search_response = await self.llm.agenerate( + search_messages, + streaming=True, + callbacks=self.callbacks, # type: ignore + **llm_kwargs, # type: ignore + ) + return SearchResult( + response=search_response, + context_data=text_data, + context_text=text_data, + completion_time=time.time() - start_time, + llm_calls=1, + prompt_tokens=num_tokens(search_prompt, self.token_encoder), + ) + except Exception: + log.exception("Exception in reduce_response") + return SearchResult( + response="", + context_data=text_data, + context_text=text_data, + completion_time=time.time() - start_time, + llm_calls=1, + prompt_tokens=num_tokens(search_prompt, self.token_encoder), + ) diff --git a/graphrag/query/structured_search/local_search/__init__.py b/graphrag/query/structured_search/local_search/__init__.py new file mode 100644 index 00000000..8b8b1e79 --- /dev/null +++ b/graphrag/query/structured_search/local_search/__init__.py @@ -0,0 +1,4 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The LocalSearch package.""" diff --git a/graphrag/query/structured_search/local_search/mixed_context.py b/graphrag/query/structured_search/local_search/mixed_context.py new file mode 100644 index 00000000..117101e9 --- /dev/null +++ b/graphrag/query/structured_search/local_search/mixed_context.py @@ -0,0 +1,497 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +"""Algorithms to build context data for local search prompt.""" + +import logging +from typing import Any + +import pandas as pd +import tiktoken + +from graphrag.model import ( + CommunityReport, + Covariate, + Entity, + Relationship, + TextUnit, +) +from graphrag.query.context_builder.community_context import ( + build_community_context, +) +from graphrag.query.context_builder.conversation_history import ( + ConversationHistory, +) +from graphrag.query.context_builder.entity_extraction import ( + EntityVectorStoreKey, + map_query_to_entities, +) +from graphrag.query.context_builder.local_context import ( + build_covariates_context, + build_entity_context, + build_relationship_context, + get_candidate_context, +) +from graphrag.query.context_builder.source_context import ( + build_text_unit_context, + count_relationships, +) +from graphrag.query.input.retrieval.community_reports import ( + get_candidate_communities, +) +from graphrag.query.input.retrieval.text_units import get_candidate_text_units +from graphrag.query.llm.base import BaseTextEmbedding +from graphrag.query.llm.text_utils import num_tokens +from graphrag.query.structured_search.base import LocalContextBuilder +from graphrag.vector_stores import BaseVectorStore + +log = logging.getLogger(__name__) + + +class LocalSearchMixedContext(LocalContextBuilder): + """Build data context for local search prompt combining community reports and entity/relationship/covariate tables.""" + + def __init__( + self, + entities: list[Entity], + entity_text_embeddings: BaseVectorStore, + text_embedder: BaseTextEmbedding, + text_units: list[TextUnit] | None = None, + community_reports: list[CommunityReport] | None = None, + relationships: list[Relationship] | None = None, + covariates: dict[str, list[Covariate]] | None = None, + token_encoder: tiktoken.Encoding | None = None, + embedding_vectorstore_key: str = EntityVectorStoreKey.ID, + ): + if community_reports is None: + community_reports = [] + if relationships is None: + relationships = [] + if covariates is None: + covariates = {} + if text_units is None: + text_units = [] + self.entities = {entity.id: entity for entity in entities} + self.community_reports = { + community.id: community for community in community_reports + } + self.text_units = {unit.id: unit for unit in text_units} + self.relationships = { + relationship.id: relationship for relationship in relationships + } + self.covariates = covariates + self.entity_text_embeddings = entity_text_embeddings + self.text_embedder = text_embedder + self.token_encoder = token_encoder + self.embedding_vectorstore_key = embedding_vectorstore_key + + def filter_by_entity_keys(self, entity_keys: list[int] | list[str]): + """Filter entity text embeddings by entity keys.""" + self.entity_text_embeddings.filter_by_id(entity_keys) + + def build_context( + self, + query: str, + conversation_history: ConversationHistory | None = None, + include_entity_names: list[str] | None = None, + exclude_entity_names: list[str] | None = None, + conversation_history_max_turns: int | None = 5, + conversation_history_user_turns_only: bool = True, + max_tokens: int = 8000, + text_unit_prop: float = 0.5, + community_prop: float = 0.25, + top_k_mapped_entities: int = 10, + top_k_relationships: int = 10, + include_community_rank: bool = False, + include_entity_rank: bool = False, + rank_description: str = "number of relationships", + include_relationship_weight: bool = False, + relationship_ranking_attribute: str = "rank", + return_candidate_context: bool = False, + use_community_summary: bool = False, + min_community_rank: int = 0, + community_context_name: str = "Reports", + column_delimiter: str = "|", + **kwargs: dict[str, Any], + ) -> tuple[str | list[str], dict[str, pd.DataFrame]]: + """ + Build data context for local search prompt. + + Build a context by combining community reports and entity/relationship/covariate tables, and text units using a predefined ratio set by summary_prop. + """ + if include_entity_names is None: + include_entity_names = [] + if exclude_entity_names is None: + exclude_entity_names = [] + if community_prop + text_unit_prop > 1: + value_error = ( + "The sum of community_prop and text_unit_prop should not exceed 1." + ) + raise ValueError(value_error) + + # map user query to entities + # if there is conversation history, attached the previous user questions to the current query + if conversation_history: + pre_user_questions = "\n".join( + conversation_history.get_user_turns(conversation_history_max_turns) + ) + query = f"{query}\n{pre_user_questions}" + + selected_entities = map_query_to_entities( + query=query, + text_embedding_vectorstore=self.entity_text_embeddings, + text_embedder=self.text_embedder, + all_entities=list(self.entities.values()), + embedding_vectorstore_key=self.embedding_vectorstore_key, + include_entity_names=include_entity_names, + exclude_entity_names=exclude_entity_names, + k=top_k_mapped_entities, + oversample_scaler=2, + ) + + # build context + final_context = list[str]() + final_context_data = dict[str, pd.DataFrame]() + + if conversation_history: + # build conversation history context + ( + conversation_history_context, + conversation_history_context_data, + ) = conversation_history.build_context( + include_user_turns_only=conversation_history_user_turns_only, + max_qa_turns=conversation_history_max_turns, + column_delimiter=column_delimiter, + max_tokens=max_tokens, + recency_bias=False, + ) + if conversation_history_context.strip() != "": + final_context.append(conversation_history_context) + final_context_data = conversation_history_context_data + max_tokens = max_tokens - num_tokens( + conversation_history_context, self.token_encoder + ) + + # build community context + community_tokens = max(int(max_tokens * community_prop), 0) + community_context, community_context_data = self._build_community_context( + selected_entities=selected_entities, + max_tokens=community_tokens, + use_community_summary=use_community_summary, + column_delimiter=column_delimiter, + include_community_rank=include_community_rank, + min_community_rank=min_community_rank, + return_candidate_context=return_candidate_context, + context_name=community_context_name, + ) + if community_context.strip() != "": + final_context.append(community_context) + final_context_data = {**final_context_data, **community_context_data} + + # build local (i.e. entity-relationship-covariate) context + local_prop = 1 - community_prop - text_unit_prop + local_tokens = max(int(max_tokens * local_prop), 0) + local_context, local_context_data = self._build_local_context( + selected_entities=selected_entities, + max_tokens=local_tokens, + include_entity_rank=include_entity_rank, + rank_description=rank_description, + include_relationship_weight=include_relationship_weight, + top_k_relationships=top_k_relationships, + relationship_ranking_attribute=relationship_ranking_attribute, + return_candidate_context=return_candidate_context, + column_delimiter=column_delimiter, + ) + if local_context.strip() != "": + final_context.append(str(local_context)) + final_context_data = {**final_context_data, **local_context_data} + + # build text unit context + text_unit_tokens = max(int(max_tokens * text_unit_prop), 0) + text_unit_context, text_unit_context_data = self._build_text_unit_context( + selected_entities=selected_entities, + max_tokens=text_unit_tokens, + return_candidate_context=return_candidate_context, + ) + if text_unit_context.strip() != "": + final_context.append(text_unit_context) + final_context_data = {**final_context_data, **text_unit_context_data} + + return ("\n\n".join(final_context), final_context_data) + + def _build_community_context( + self, + selected_entities: list[Entity], + max_tokens: int = 4000, + use_community_summary: bool = False, + column_delimiter: str = "|", + include_community_rank: bool = False, + min_community_rank: int = 0, + return_candidate_context: bool = False, + context_name: str = "Reports", + ) -> tuple[str, dict[str, pd.DataFrame]]: + """Add community data to the context window until it hits the max_tokens limit.""" + if len(selected_entities) == 0 or len(self.community_reports) == 0: + return ("", {context_name.lower(): pd.DataFrame()}) + + community_matches = {} + for entity in selected_entities: + # increase count of the community that this entity belongs to + if entity.community_ids: + for community_id in entity.community_ids: + community_matches[community_id] = ( + community_matches.get(community_id, 0) + 1 + ) + + # sort communities by number of matched entities and rank + selected_communities = [ + self.community_reports[community_id] + for community_id in community_matches + if community_id in self.community_reports + ] + for community in selected_communities: + if community.attributes is None: + community.attributes = {} + community.attributes["matches"] = community_matches[community.id] + selected_communities.sort( + key=lambda x: (x.attributes["matches"], x.rank), # type: ignore + reverse=True, # type: ignore + ) + for community in selected_communities: + del community.attributes["matches"] # type: ignore + + context_text, context_data = build_community_context( + community_reports=selected_communities, + token_encoder=self.token_encoder, + use_community_summary=use_community_summary, + column_delimiter=column_delimiter, + shuffle_data=False, + include_community_rank=include_community_rank, + min_community_rank=min_community_rank, + max_tokens=max_tokens, + single_batch=True, + context_name=context_name, + ) + if isinstance(context_text, list) and len(context_text) > 0: + context_text = "\n\n".join(context_text) + + if return_candidate_context: + candidate_context_data = get_candidate_communities( + selected_entities=selected_entities, + community_reports=list(self.community_reports.values()), + use_community_summary=use_community_summary, + include_community_rank=include_community_rank, + ) + context_key = context_name.lower() + if context_key not in context_data: + context_data[context_key] = candidate_context_data + context_data[context_key]["in_context"] = False + else: + if ( + "id" in candidate_context_data.columns + and "id" in context_data[context_key].columns + ): + candidate_context_data["in_context"] = candidate_context_data[ + "id" + ].isin( # cspell:disable-line + context_data[context_key]["id"] + ) + context_data[context_key] = candidate_context_data + else: + context_data[context_key]["in_context"] = True + return (str(context_text), context_data) + + def _build_text_unit_context( + self, + selected_entities: list[Entity], + max_tokens: int = 8000, + return_candidate_context: bool = False, + column_delimiter: str = "|", + context_name: str = "Sources", + ) -> tuple[str, dict[str, pd.DataFrame]]: + """Rank matching text units and add them to the context window until it hits the max_tokens limit.""" + if len(selected_entities) == 0 or len(self.text_units) == 0: + return ("", {context_name.lower(): pd.DataFrame()}) + + selected_text_units = list[TextUnit]() + # for each matching text unit, rank first by the order of the entities that match it, then by the number of matching relationships + # that the text unit has with the matching entities + for index, entity in enumerate(selected_entities): + if entity.text_unit_ids: + for text_id in entity.text_unit_ids: + if ( + text_id not in [unit.id for unit in selected_text_units] + and text_id in self.text_units + ): + selected_unit = self.text_units[text_id] + num_relationships = count_relationships( + selected_unit, entity, self.relationships + ) + if selected_unit.attributes is None: + selected_unit.attributes = {} + selected_unit.attributes["entity_order"] = index + selected_unit.attributes["num_relationships"] = ( + num_relationships + ) + selected_text_units.append(selected_unit) + + # sort selected text units by ascending order of entity order and descending order of number of relationships + selected_text_units.sort( + key=lambda x: ( + x.attributes["entity_order"], # type: ignore + -x.attributes["num_relationships"], # type: ignore + ) + ) + + for unit in selected_text_units: + del unit.attributes["entity_order"] # type: ignore + del unit.attributes["num_relationships"] # type: ignore + + context_text, context_data = build_text_unit_context( + text_units=selected_text_units, + token_encoder=self.token_encoder, + max_tokens=max_tokens, + shuffle_data=False, + context_name=context_name, + column_delimiter=column_delimiter, + ) + + if return_candidate_context: + candidate_context_data = get_candidate_text_units( + selected_entities=selected_entities, + text_units=list(self.text_units.values()), + ) + context_key = context_name.lower() + if context_key not in context_data: + context_data[context_key] = candidate_context_data + context_data[context_key]["in_context"] = False + else: + if ( + "id" in candidate_context_data.columns + and "id" in context_data[context_key].columns + ): + candidate_context_data["in_context"] = candidate_context_data[ + "id" + ].isin( # cspell:disable-line + context_data[context_key]["id"] + ) + context_data[context_key] = candidate_context_data + else: + context_data[context_key]["in_context"] = True + return (str(context_text), context_data) + + def _build_local_context( + self, + selected_entities: list[Entity], + max_tokens: int = 8000, + include_entity_rank: bool = False, + rank_description: str = "relationship count", + include_relationship_weight: bool = False, + top_k_relationships: int = 10, + relationship_ranking_attribute: str = "rank", + return_candidate_context: bool = False, + column_delimiter: str = "|", + ) -> tuple[str, dict[str, pd.DataFrame]]: + """Build data context for local search prompt combining entity/relationship/covariate tables.""" + # build entity context + entity_context, entity_context_data = build_entity_context( + selected_entities=selected_entities, + token_encoder=self.token_encoder, + max_tokens=max_tokens, + column_delimiter=column_delimiter, + include_entity_rank=include_entity_rank, + rank_description=rank_description, + context_name="Entities", + ) + entity_tokens = num_tokens(entity_context, self.token_encoder) + + # build relationship-covariate context + added_entities = [] + final_context = [] + final_context_data = {} + + # gradually add entities and associated metadata to the context until we reach limit + for entity in selected_entities: + current_context = [] + current_context_data = {} + added_entities.append(entity) + + # build relationship context + ( + relationship_context, + relationship_context_data, + ) = build_relationship_context( + selected_entities=added_entities, + relationships=list(self.relationships.values()), + token_encoder=self.token_encoder, + max_tokens=max_tokens, + column_delimiter=column_delimiter, + top_k_relationships=top_k_relationships, + include_relationship_weight=include_relationship_weight, + relationship_ranking_attribute=relationship_ranking_attribute, + context_name="Relationships", + ) + current_context.append(relationship_context) + current_context_data["relationships"] = relationship_context_data + total_tokens = entity_tokens + num_tokens( + relationship_context, self.token_encoder + ) + + # build covariate context + for covariate in self.covariates: + covariate_context, covariate_context_data = build_covariates_context( + selected_entities=added_entities, + covariates=self.covariates[covariate], + token_encoder=self.token_encoder, + max_tokens=max_tokens, + column_delimiter=column_delimiter, + context_name=covariate, + ) + total_tokens += num_tokens(covariate_context, self.token_encoder) + current_context.append(covariate_context) + current_context_data[covariate.lower()] = covariate_context_data + + if total_tokens > max_tokens: + log.info("Reached token limit - reverting to previous context state") + break + + final_context = current_context + final_context_data = current_context_data + + # attach entity context to final context + final_context_text = entity_context + "\n\n" + "\n\n".join(final_context) + final_context_data["entities"] = entity_context_data + + if return_candidate_context: + # we return all the candidate entities/relationships/covariates (not only those that were fitted into the context window) + # and add a tag to indicate which records were included in the context window + candidate_context_data = get_candidate_context( + selected_entities=selected_entities, + entities=list(self.entities.values()), + relationships=list(self.relationships.values()), + covariates=self.covariates, + include_entity_rank=include_entity_rank, + entity_rank_description=rank_description, + include_relationship_weight=include_relationship_weight, + ) + for key in candidate_context_data: + candidate_df = candidate_context_data[key] + if key not in final_context_data: + final_context_data[key] = candidate_df + final_context_data[key]["in_context"] = False + else: + in_context_df = final_context_data[key] + + if "id" in in_context_df.columns and "id" in candidate_df.columns: + candidate_df["in_context"] = candidate_df[ + "id" + ].isin( # cspell:disable-line + in_context_df["id"] + ) + final_context_data[key] = candidate_df + else: + final_context_data[key]["in_context"] = True + + else: + for key in final_context_data: + final_context_data[key]["in_context"] = True + return (final_context_text, final_context_data) diff --git a/graphrag/query/structured_search/local_search/search.py b/graphrag/query/structured_search/local_search/search.py new file mode 100644 index 00000000..80dd6670 --- /dev/null +++ b/graphrag/query/structured_search/local_search/search.py @@ -0,0 +1,159 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""LocalSearch implementation.""" + +import logging +import time +from typing import Any + +import tiktoken + +from graphrag.query.context_builder.builders import LocalContextBuilder +from graphrag.query.context_builder.conversation_history import ( + ConversationHistory, +) +from graphrag.query.llm.base import BaseLLM, BaseLLMCallback +from graphrag.query.llm.text_utils import num_tokens +from graphrag.query.structured_search.base import BaseSearch, SearchResult +from graphrag.query.structured_search.local_search.system_prompt import ( + LOCAL_SEARCH_SYSTEM_PROMPT, +) + +DEFAULT_LLM_PARAMS = { + "max_tokens": 1500, + "temperature": 0.0, +} + +log = logging.getLogger(__name__) + + +class LocalSearch(BaseSearch): + """Search orchestration for local search mode.""" + + def __init__( + self, + llm: BaseLLM, + context_builder: LocalContextBuilder, + token_encoder: tiktoken.Encoding | None = None, + system_prompt: str = LOCAL_SEARCH_SYSTEM_PROMPT, + response_type: str = "multiple paragraphs", + callbacks: list[BaseLLMCallback] | None = None, + llm_params: dict[str, Any] = DEFAULT_LLM_PARAMS, + context_builder_params: dict | None = None, + ): + super().__init__( + llm=llm, + context_builder=context_builder, + token_encoder=token_encoder, + llm_params=llm_params, + context_builder_params=context_builder_params or {}, + ) + self.system_prompt = system_prompt + self.callbacks = callbacks + self.response_type = response_type + + async def asearch( + self, + query: str, + conversation_history: ConversationHistory | None = None, + **kwargs, + ) -> SearchResult: + """Build local search context that fits a single context window and generate answer for the user query.""" + start_time = time.time() + search_prompt = "" + + context_text, context_records = self.context_builder.build_context( + query=query, + conversation_history=conversation_history, + **kwargs, + **self.context_builder_params, + ) + log.info("GENERATE ANSWER: %s. QUERY: %s", start_time, query) + try: + search_prompt = self.system_prompt.format( + context_data=context_text, response_type=self.response_type + ) + search_messages = [ + {"role": "system", "content": search_prompt}, + {"role": "user", "content": query}, + ] + + response = await self.llm.agenerate( + messages=search_messages, + streaming=True, + callbacks=self.callbacks, + **self.llm_params, + ) + + return SearchResult( + response=response, + context_data=context_records, + context_text=context_text, + completion_time=time.time() - start_time, + llm_calls=1, + prompt_tokens=num_tokens(search_prompt, self.token_encoder), + ) + + except Exception: + log.exception("Exception in _asearch") + return SearchResult( + response="", + context_data=context_records, + context_text=context_text, + completion_time=time.time() - start_time, + llm_calls=1, + prompt_tokens=num_tokens(search_prompt, self.token_encoder), + ) + + def search( + self, + query: str, + conversation_history: ConversationHistory | None = None, + **kwargs, + ) -> SearchResult: + """Build local search context that fits a single context window and generate answer for the user question.""" + start_time = time.time() + search_prompt = "" + context_text, context_records = self.context_builder.build_context( + query=query, + conversation_history=conversation_history, + **kwargs, + **self.context_builder_params, + ) + log.info("GENERATE ANSWER: %d. QUERY: %s", start_time, query) + try: + search_prompt = self.system_prompt.format( + context_data=context_text, response_type=self.response_type + ) + search_messages = [ + {"role": "system", "content": search_prompt}, + {"role": "user", "content": query}, + ] + + response = self.llm.generate( + messages=search_messages, + streaming=True, + callbacks=self.callbacks, + **self.llm_params, + ) + + return SearchResult( + response=response, + context_data=context_records, + context_text=context_text, + completion_time=time.time() - start_time, + llm_calls=1, + prompt_tokens=num_tokens(search_prompt, self.token_encoder), + ) + + except Exception: + log.exception("Exception in _map_response_single_batch") + return SearchResult( + response="", + context_data=context_records, + context_text=context_text, + completion_time=time.time() - start_time, + llm_calls=1, + prompt_tokens=num_tokens(search_prompt, self.token_encoder), + ) diff --git a/graphrag/query/structured_search/local_search/system_prompt.py b/graphrag/query/structured_search/local_search/system_prompt.py new file mode 100644 index 00000000..70b1d12f --- /dev/null +++ b/graphrag/query/structured_search/local_search/system_prompt.py @@ -0,0 +1,69 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Local search system prompts.""" + +LOCAL_SEARCH_SYSTEM_PROMPT = """ +---Role--- + +You are a helpful assistant responding to questions about data in the tables provided. + + +---Goal--- + +Generate a response of the target length and format that responds to the user's question, summarizing all information in the input data tables appropriate for the response length and format, and incorporating any relevant general knowledge. + +If you don't know the answer, just say so. Do not make anything up. + +Points supported by data should list their data references as follows: + +"This is an example sentence supported by multiple data references [Data: (record ids); (record ids)]." + +Do not list more than 5 record ids in a single reference. Instead, list the top 5 most relevant record ids and add "+more" to indicate that there are more. + +For example: + +"Person X is the owner of Company Y and subject to many allegations of wrongdoing [Data: Sources (15, 16), Reports (1), Entities (5, 7); Relationships (23); Claims (2, 7, 34, 46, 64, +more)]." + +where 15, 16, 1, 5, 7, 23, 2, 7, 34, 46, and 64 represent the id (not the index) of the relevant data record. + +Do not include information where the supporting evidence for it is not provided. + + +---Target response length and format--- + +{response_type} + + +---Data tables--- + +{context_data} + + +---Goal--- + +Generate a response of the target length and format that responds to the user's question, summarizing all information in the input data tables appropriate for the response length and format, and incorporating any relevant general knowledge. + +If you don't know the answer, just say so. Do not make anything up. + +Points supported by data should list their data references as follows: + +"This is an example sentence supported by multiple data references [Data: (record ids); (record ids)]." + +Do not list more than 5 record ids in a single reference. Instead, list the top 5 most relevant record ids and add "+more" to indicate that there are more. + +For example: + +"Person X is the owner of Company Y and subject to many allegations of wrongdoing [Data: Sources (15, 16), Reports (1), Entities (5, 7); Relationships (23); Claims (2, 7, 34, 46, 64, +more)]." + +where 15, 16, 1, 5, 7, 23, 2, 7, 34, 46, and 64 represent the id (not the index) of the relevant data record. + +Do not include information where the supporting evidence for it is not provided. + + +---Target response length and format--- + +{response_type} + +Add sections and commentary to the response as appropriate for the length and format. Style the response in markdown. +""" diff --git a/graphrag/vector_stores/__init__.py b/graphrag/vector_stores/__init__.py new file mode 100644 index 00000000..d4c11760 --- /dev/null +++ b/graphrag/vector_stores/__init__.py @@ -0,0 +1,19 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A package containing vector-storage implementations.""" + +from .azure_ai_search import AzureAISearch +from .base import BaseVectorStore, VectorStoreDocument, VectorStoreSearchResult +from .lancedb import LanceDBVectorStore +from .typing import VectorStoreFactory, VectorStoreType + +__all__ = [ + "AzureAISearch", + "BaseVectorStore", + "LanceDBVectorStore", + "VectorStoreDocument", + "VectorStoreFactory", + "VectorStoreSearchResult", + "VectorStoreType", +] diff --git a/graphrag/vector_stores/azure_ai_search.py b/graphrag/vector_stores/azure_ai_search.py new file mode 100644 index 00000000..c503fca1 --- /dev/null +++ b/graphrag/vector_stores/azure_ai_search.py @@ -0,0 +1,194 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A package containing the Azure AI Search vector store implementation.""" + +import json +from typing import Any + +from azure.core.credentials import AzureKeyCredential +from azure.identity import DefaultAzureCredential +from azure.search.documents import SearchClient +from azure.search.documents.indexes import SearchIndexClient +from azure.search.documents.indexes.models import ( + HnswAlgorithmConfiguration, + HnswParameters, + SearchableField, + SearchField, + SearchFieldDataType, + SearchIndex, + SimpleField, + VectorSearch, + VectorSearchAlgorithmMetric, + VectorSearchProfile, +) +from azure.search.documents.models import VectorizedQuery + +from graphrag.model.types import TextEmbedder + +from .base import ( + DEFAULT_VECTOR_SIZE, + BaseVectorStore, + VectorStoreDocument, + VectorStoreSearchResult, +) + + +class AzureAISearch(BaseVectorStore): + """The Azure AI Search vector storage implementation.""" + + index_client: SearchIndexClient + + def connect(self, **kwargs: Any) -> Any: + """Connect to the AzureAI vector store.""" + url = kwargs.get("url", None) + api_key = kwargs.get("api_key", None) + audience = kwargs.get("audience", None) + self.vector_size = kwargs.get("vector_size", DEFAULT_VECTOR_SIZE) + + self.vector_search_profile_name = kwargs.get( + "vector_search_profile_name", "vectorSearchProfile" + ) + + if url: + audience_arg = {"audience": audience} if audience else {} + self.db_connection = SearchClient( + endpoint=url, + index_name=self.collection_name, + credential=AzureKeyCredential(api_key) + if api_key + else DefaultAzureCredential(), + **audience_arg, + ) + self.index_client = SearchIndexClient( + endpoint=url, + credential=AzureKeyCredential(api_key) + if api_key + else DefaultAzureCredential(), + **audience_arg, + ) + else: + not_supported_error = "AAISearchDBClient is not supported on local host." + raise ValueError(not_supported_error) + + def load_documents( + self, documents: list[VectorStoreDocument], overwrite: bool = True + ) -> None: + """Load documents into the Azure AI Search index.""" + if overwrite: + if self.collection_name in self.index_client.list_index_names(): + self.index_client.delete_index(self.collection_name) + + # Configure the vector search profile + vector_search = VectorSearch( + algorithms=[ + HnswAlgorithmConfiguration( + name="HnswAlg", + parameters=HnswParameters( + metric=VectorSearchAlgorithmMetric.COSINE + ), + ) + ], + profiles=[ + VectorSearchProfile( + name=self.vector_search_profile_name, + algorithm_configuration_name="HnswAlg", + ) + ], + ) + + index = SearchIndex( + name=self.collection_name, + fields=[ + SimpleField( + name="id", + type=SearchFieldDataType.String, + key=True, + ), + SearchField( + name="vector", + type=SearchFieldDataType.Collection(SearchFieldDataType.Single), + searchable=True, + vector_search_dimensions=self.vector_size, + vector_search_profile_name=self.vector_search_profile_name, + ), + SearchableField(name="text", type=SearchFieldDataType.String), + SimpleField( + name="attributes", + type=SearchFieldDataType.String, + ), + ], + vector_search=vector_search, + ) + + self.index_client.create_or_update_index( + index, + ) + + batch = [ + { + "id": doc.id, + "vector": doc.vector, + "text": doc.text, + "attributes": json.dumps(doc.attributes), + } + for doc in documents + if doc.vector is not None + ] + + if batch and len(batch) > 0: + self.db_connection.upload_documents(batch) + + def filter_by_id(self, include_ids: list[str] | list[int]) -> Any: + """Build a query filter to filter documents by a list of ids.""" + if include_ids is None or len(include_ids) == 0: + self.query_filter = None + # Returning to keep consistency with other methods, but not needed + return self.query_filter + + # More info about odata filtering here: https://learn.microsoft.com/en-us/azure/search/search-query-odata-search-in-function + # search.in is faster that joined and/or conditions + id_filter = ",".join([f"{id!s}" for id in include_ids]) + self.query_filter = f"search.in(id, '{id_filter}', ',')" + + # Returning to keep consistency with other methods, but not needed + # TODO: Refactor on a future PR + return self.query_filter + + def similarity_search_by_vector( + self, query_embedding: list[float], k: int = 10, **kwargs: Any + ) -> list[VectorStoreSearchResult]: + """Perform a vector-based similarity search.""" + vectorized_query = VectorizedQuery( + vector=query_embedding, k_nearest_neighbors=k, fields="vector" + ) + + response = self.db_connection.search( + vector_queries=[vectorized_query], + ) + + return [ + VectorStoreSearchResult( + document=VectorStoreDocument( + id=doc.get("id", ""), + text=doc.get("text", ""), + vector=doc.get("vector", []), + attributes=(json.loads(doc.get("attributes", "{}"))), + ), + # Cosine similarity between 0.333 and 1.000 + # https://learn.microsoft.com/en-us/azure/search/hybrid-search-ranking#scores-in-a-hybrid-search-results + score=doc["@search.score"], + ) + for doc in response + ] + + def similarity_search_by_text( + self, text: str, text_embedder: TextEmbedder, k: int = 10, **kwargs: Any + ) -> list[VectorStoreSearchResult]: + """Perform a text-based similarity search.""" + query_embedding = text_embedder(text) + if query_embedding: + return self.similarity_search_by_vector( + query_embedding=query_embedding, k=k + ) + return [] diff --git a/graphrag/vector_stores/base.py b/graphrag/vector_stores/base.py new file mode 100644 index 00000000..38f0e584 --- /dev/null +++ b/graphrag/vector_stores/base.py @@ -0,0 +1,81 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Base classes for vector stores.""" + +from abc import ABC, abstractmethod +from dataclasses import dataclass, field +from typing import Any + +from graphrag.model.types import TextEmbedder + +DEFAULT_VECTOR_SIZE: int = 1536 + + +@dataclass +class VectorStoreDocument: + """A document that is stored in vector storage.""" + + id: str | int + """unique id for the document""" + + text: str | None + vector: list[float] | None + + attributes: dict[str, Any] = field(default_factory=dict) + """store any additional metadata, e.g. title, date ranges, etc""" + + +@dataclass +class VectorStoreSearchResult: + """A vector storage search result.""" + + document: VectorStoreDocument + """Document that was found.""" + + score: float + """Similarity score between 0 and 1. Higher is more similar.""" + + +class BaseVectorStore(ABC): + """The base class for vector storage data-access classes.""" + + def __init__( + self, + collection_name: str, + db_connection: Any | None = None, + document_collection: Any | None = None, + query_filter: Any | None = None, + **kwargs: Any, + ): + self.collection_name = collection_name + self.db_connection = db_connection + self.document_collection = document_collection + self.query_filter = query_filter + self.kwargs = kwargs + + @abstractmethod + def connect(self, **kwargs: Any) -> None: + """Connect to vector storage.""" + + @abstractmethod + def load_documents( + self, documents: list[VectorStoreDocument], overwrite: bool = True + ) -> None: + """Load documents into the vector-store.""" + + @abstractmethod + def similarity_search_by_vector( + self, query_embedding: list[float], k: int = 10, **kwargs: Any + ) -> list[VectorStoreSearchResult]: + """Perform ANN search by vector.""" + + @abstractmethod + def similarity_search_by_text( + self, text: str, text_embedder: TextEmbedder, k: int = 10, **kwargs: Any + ) -> list[VectorStoreSearchResult]: + """Perform ANN search by text.""" + + @abstractmethod + def filter_by_id(self, include_ids: list[str] | list[int]) -> Any: + """Build a query filter to filter documents by id.""" diff --git a/graphrag/vector_stores/lancedb.py b/graphrag/vector_stores/lancedb.py new file mode 100644 index 00000000..0c9ea17f --- /dev/null +++ b/graphrag/vector_stores/lancedb.py @@ -0,0 +1,121 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""The LanceDB vector storage implementation package.""" + +import lancedb as lancedb # noqa: I001 (Ruff was breaking on this file imports, even tho they were sorted and passed local tests) +from graphrag.model.types import TextEmbedder + +import json +from typing import Any + +import pyarrow as pa + +from .base import ( + BaseVectorStore, + VectorStoreDocument, + VectorStoreSearchResult, +) + + +class LanceDBVectorStore(BaseVectorStore): + """The LanceDB vector storage implementation.""" + + def connect(self, **kwargs: Any) -> Any: + """Connect to the vector storage.""" + db_uri = kwargs.get("db_uri", "./lancedb") + self.db_connection = lancedb.connect(db_uri) # type: ignore + + def load_documents( + self, documents: list[VectorStoreDocument], overwrite: bool = True + ) -> None: + """Load documents into vector storage.""" + data = [ + { + "id": document.id, + "text": document.text, + "vector": document.vector, + "attributes": json.dumps(document.attributes), + } + for document in documents + if document.vector is not None + ] + + if len(data) == 0: + data = None + + schema = pa.schema([ + pa.field("id", pa.string()), + pa.field("text", pa.string()), + pa.field("vector", pa.list_(pa.float64())), + pa.field("attributes", pa.string()), + ]) + if overwrite: + if data: + self.document_collection = self.db_connection.create_table( + self.collection_name, data=data, mode="overwrite" + ) + else: + self.document_collection = self.db_connection.create_table( + self.collection_name, schema=schema, mode="overwrite" + ) + else: + # add data to existing table + self.document_collection = self.db_connection.open_table( + self.collection_name + ) + if data: + self.document_collection.add(data) + + def filter_by_id(self, include_ids: list[str] | list[int]) -> Any: + """Build a query filter to filter documents by id.""" + if len(include_ids) == 0: + self.query_filter = None + else: + if isinstance(include_ids[0], str): + id_filter = ", ".join([f"'{id}'" for id in include_ids]) + self.query_filter = f"id in ({id_filter})" + else: + self.query_filter = ( + f"id in ({', '.join([str(id) for id in include_ids])})" + ) + return self.query_filter + + def similarity_search_by_vector( + self, query_embedding: list[float], k: int = 10, **kwargs: Any + ) -> list[VectorStoreSearchResult]: + """Perform a vector-based similarity search.""" + if self.query_filter: + docs = ( + self.document_collection.search(query=query_embedding) + .where(self.query_filter, prefilter=True) + .limit(k) + .to_list() + ) + else: + docs = ( + self.document_collection.search(query=query_embedding) + .limit(k) + .to_list() + ) + return [ + VectorStoreSearchResult( + document=VectorStoreDocument( + id=doc["id"], + text=doc["text"], + vector=doc["vector"], + attributes=json.loads(doc["attributes"]), + ), + score=1 - abs(float(doc["_distance"])), + ) + for doc in docs + ] + + def similarity_search_by_text( + self, text: str, text_embedder: TextEmbedder, k: int = 10, **kwargs: Any + ) -> list[VectorStoreSearchResult]: + """Perform a similarity search using a given input text.""" + query_embedding = text_embedder(text) + if query_embedding: + return self.similarity_search_by_vector(query_embedding, k) + return [] diff --git a/graphrag/vector_stores/typing.py b/graphrag/vector_stores/typing.py new file mode 100644 index 00000000..0b5a5cd1 --- /dev/null +++ b/graphrag/vector_stores/typing.py @@ -0,0 +1,44 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A package containing the supported vector store types.""" + +from enum import Enum +from typing import ClassVar + +from .azure_ai_search import AzureAISearch +from .lancedb import LanceDBVectorStore + + +class VectorStoreType(str, Enum): + """The supported vector store types.""" + + LanceDB = "lancedb" + AzureAISearch = "azure_ai_search" + + +class VectorStoreFactory: + """A factory class for creating vector stores.""" + + vector_store_types: ClassVar[dict[str, type]] = {} + + @classmethod + def register(cls, vector_store_type: str, vector_store: type): + """Register a vector store type.""" + cls.vector_store_types[vector_store_type] = vector_store + + @classmethod + def get_vector_store( + cls, vector_store_type: VectorStoreType | str, kwargs: dict + ) -> LanceDBVectorStore | AzureAISearch: + """Get the vector store type from a string.""" + match vector_store_type: + case VectorStoreType.LanceDB: + return LanceDBVectorStore(**kwargs) + case VectorStoreType.AzureAISearch: + return AzureAISearch(**kwargs) + case _: + if vector_store_type in cls.vector_store_types: + return cls.vector_store_types[vector_store_type](**kwargs) + msg = f"Unknown vector store type: {vector_store_type}" + raise ValueError(msg) diff --git a/poetry.lock b/poetry.lock new file mode 100644 index 00000000..a9c7fad1 --- /dev/null +++ b/poetry.lock @@ -0,0 +1,5105 @@ +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. + +[[package]] +name = "aiofiles" +version = "24.1.0" +description = "File support for asyncio." +optional = false +python-versions = ">=3.8" +files = [ + {file = "aiofiles-24.1.0-py3-none-any.whl", hash = "sha256:b4ec55f4195e3eb5d7abd1bf7e061763e864dd4954231fb8539a0ef8bb8260e5"}, + {file = "aiofiles-24.1.0.tar.gz", hash = "sha256:22a075c9e5a3810f0c2e48f3008c94d68c65d763b9b03857924c99e57355166c"}, +] + 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./scripts/release.sh +version = "0.0.1" +description = "" +authors = [ + "Alonso Guevara Fernández ", + "Andrés Morales Esquivel ", + "Chris Trevino ", + "David Tittsworth ", + "Dayenne de Souza ", + "Gaudy Blanco Meneses ", + "Ha Trinh ", + "Jonathan Larson ", + "Kate Lytvynets ", + "Mónica Carvajal", + "Nathan Evans ", + "Rodrigo Racanicci ", + "Sarah Smith ", +] +license = "MIT" +readme = "README.md" +packages = [{ include = "graphrag" }] + +[tool.poetry-dynamic-versioning] +enable = true +style = "pep440" +vcs = "git" +bump = true +format-jinja = """ + {%- if distance == 0 -%} + {{ serialize_pep440(base, stage, revision) }} + {%- else -%} + {{ serialize_pep440(base, stage, revision, dev=distance) }} + {%- endif -%} +""" + +[tool.poetry.dependencies] +python = ">=3.10,<3.13" +environs = "^11.0.0" +datashaper = "^0.0.49" + +# Vector Stores +azure-search-documents = "^11.4.0" +lancedb = "^0.9.0" + +# Event Loops +uvloop = { version = "^0.19.0", markers = "platform_system != 'Windows'" } +nest-asyncio = { version = "^1.6.0", markers = "platform_system == 'Windows'" } + +# Async IO +aiolimiter = "^1.1.0" +aiofiles = "^24.1.0" + +# LLM +openai = "^1.35.7" +nltk = "3.8.1" +tiktoken = "^0.7.0" + +# Data-Sci +numba = "0.60.0" +numpy = "^1.25.2" +graspologic = "^3.4.1" +networkx = "^3" +fastparquet = "^2024.2.0" +# 1.13.0 was a footgun +scipy = "1.12.0" + +# Configuration +pyyaml = "^6.0.1" +pyaml-env = "^1.2.1" +python-dotenv = "^1.0.0" + +# Network +tenacity = "^8.2.3" + +swifter = "^1.4.0" +pydantic = "^2" +rich = "^13.6.0" +textual = "^0.70.0" +devtools = "^0.12.2" + +typing-extensions = "^4.12.2" + +#Azure +azure-storage-blob = "^12.19.0" +azure-identity = "^1.17.1" + +[tool.poetry.group.dev.dependencies] +coverage = "^7.5.4" +ipykernel = "^6.29.4" +jupyter = "^1.0.0" +nbconvert = "^7.16.3" +poethepoet = "^0.26.0" +pyright = "^1.1.368" +pytest = "^8.2.0" +pytest-asyncio = "^0.23.4" +pytest-timeout = "^2.3.1" +ruff = "^0.5.0" +semversioner = "^2.0.3" + +update-toml = "^0.2.1" + +[build-system] +requires = ["poetry-core>=1.0.0", "poetry-dynamic-versioning>=1.0.0,<2.0.0"] +build-backend = "poetry_dynamic_versioning.backend" + +[tool.poe.tasks] +_sort_imports = "ruff check --select I --fix . --preview" +_format_code = "ruff format . --preview" +_ruff_check = 'ruff check . --preview' +_pyright = "pyright" +_convert_local_search_nb = 'jupyter nbconvert --output-dir=docsite/posts/query/notebooks/ --output="{notebook_name}_nb" --template=docsite/nbdocsite_template --to markdown examples_notebooks/local_search.ipynb' +_convert_global_search_nb = 'jupyter nbconvert --output-dir=docsite/posts/query/notebooks/ --output="{notebook_name}_nb" --template=docsite/nbdocsite_template --to markdown examples_notebooks/global_search.ipynb' +_semversioner_release = "semversioner release" +_semversioner_changelog = "semversioner changelog > CHANGELOG.md" +_semversioner_update_toml_version = "update-toml --path tool.poetry.version --value \"$(semversioner current-version)\" pyproject.toml" +coverage_report = 'coverage report --omit "**/tests/**" --show-missing' +check_format = 'ruff format . --check --preview' +fix = "ruff --preview check --fix ." +fix_unsafe = "ruff check --preview --fix --unsafe-fixes ." + +_test_all = "coverage run -m pytest ./tests" +test_unit = "pytest ./tests/unit" +test_integration = "pytest ./tests/integration" +test_smoke = "pytest ./tests/smoke" +index = "python -m graphrag.index" +query = "python -m graphrag.query" +prompt_tune = "python -m graphrag.prompt_tune" +# Pass in a test pattern +test_only = "pytest -s -k" + +[[tool.poe.tasks.release]] +sequence = [ + '_semversioner_release', + '_semversioner_changelog', + '_semversioner_update_toml_version', +] +ignore_fail = 'return_non_zero' + +[[tool.poe.tasks.convert_docsite_notebooks]] +sequence = ['_convert_local_search_nb', '_convert_global_search_nb'] +ignore_fail = 'return_non_zero' + +[[tool.poe.tasks.format]] +sequence = ['_sort_imports', '_format_code'] +ignore_fail = 'return_non_zero' + +[[tool.poe.tasks.check]] +sequence = ['check_format', '_ruff_check', '_pyright'] +ignore_fail = 'return_non_zero' + +[[tool.poe.tasks.test]] +sequence = ['_test_all', 'coverage_report'] +ignore_fail = 'return_non_zero' + +[tool.ruff] +target-version = "py310" +extend-include = ["*.ipynb"] + +[tool.ruff.format] +docstring-code-format = true +docstring-code-line-length = 20 + +[tool.ruff.lint] +select = [ + "E4", + "E7", + "E9", + "W291", + "YTT", + "T10", + "ICN", + "INP", + "Q", + "RSE", + "SLOT", + "INT", + "FLY", + "LOG", + "C90", + "T20", + "D", + "RET", + "PD", + "N", + "PIE", + "SIM", + "S", + "G", + "ERA", + "ASYNC", + "TID", + "UP", + "SLF", + "BLE", + "C4", + "I", + "F", + "A", + "ARG", + "PTH", + "RUF", + "B", + "TCH", + "DTZ", + "PYI", + "PT", + "EM", + "TRY", + "PERF", + "CPY", + # "FBT", # use named arguments for boolean flags + # "TD", # todos + # "FIX", # fixme + # "FURB" # preview rules + # ANN # Type annotations, re-enable when we get bandwidth +] +ignore = [ + # Deprecated Rules + "ANN101", + "ANN102", + # Conflicts with interface argument checking + "ARG002", + "ANN204", + # TODO: Inspect these pandas rules for validity + "PD002", # prevents inplace=True + # TODO RE-Enable when we get bandwidth + "PERF203", # Needs restructuring of errors, we should bail-out on first error + "C901", # needs refactoring to remove cyclomatic complexity +] + +[tool.ruff.lint.per-file-ignores] +"tests/*" = ["S", "D", "ANN", "T201", "ASYNC", "ARG", "PTH", "TRY"] +"examples/*" = ["S", "D", "ANN", "T201", "PTH", "TRY", "PERF"] +"graphrag/index/config/*" = ["TCH"] +"*.ipynb" = ["T201"] + +[tool.ruff.lint.flake8-builtins] +builtins-ignorelist = ["input", "id", "bytes"] + +[tool.ruff.lint.pydocstyle] +convention = "numpy" + +# https://github.com/microsoft/pyright/blob/9f81564a4685ff5c55edd3959f9b39030f590b2f/docs/configuration.md#sample-pyprojecttoml-file +[tool.pyright] +include = ["graphrag", "tests", "examples", "examples_notebooks"] +exclude = ["**/node_modules", "**/__pycache__"] + +[tool.pytest.ini_options] +asyncio_mode = "auto" +timeout = 600 +# log_cli = true +# log_cli_level = "INFO" diff --git a/scripts/e2e-test.sh b/scripts/e2e-test.sh new file mode 100755 index 00000000..5c260a14 --- /dev/null +++ b/scripts/e2e-test.sh @@ -0,0 +1,4 @@ +#!/bin/bash + +# Use CLI Form +poetry run python -m graphrag.index --config ./examples/single_verb/pipeline.yml \ No newline at end of file diff --git a/scripts/semver-check.sh b/scripts/semver-check.sh new file mode 100755 index 00000000..26d69f9b --- /dev/null +++ b/scripts/semver-check.sh @@ -0,0 +1,10 @@ +#!/bin/sh +changes=$(git diff --name-only origin/main) +has_change_doc=$(echo $changes | grep .semversioner/next-release) +has_impacting_changes=$(echo $changes | grep graphrag) + +if [ "$has_impacting_changes" ] && [ -z "$has_change_doc" ]; then + echo "Check failed. Run 'poetry run semversioner add-change' to update the next release version" + exit 1 +fi +echo "OK" diff --git a/scripts/spellcheck.sh b/scripts/spellcheck.sh new file mode 100755 index 00000000..7c1b50e9 --- /dev/null +++ b/scripts/spellcheck.sh @@ -0,0 +1,2 @@ +#!/bin/sh +npx --yes cspell -c cspell.config.yaml --no-progress lint . \ No newline at end of file diff --git a/scripts/start-azurite.sh b/scripts/start-azurite.sh new file mode 100755 index 00000000..345f500f --- /dev/null +++ b/scripts/start-azurite.sh @@ -0,0 +1,2 @@ +#!/bin/sh +npx --yes azurite -L -l ./temp_azurite -d ./temp_azurite/debug.log \ No newline at end of file diff --git a/tests/__init__.py b/tests/__init__.py new file mode 100644 index 00000000..0a3e38ad --- /dev/null +++ b/tests/__init__.py @@ -0,0 +1,2 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License diff --git a/tests/conftest.py b/tests/conftest.py new file mode 100644 index 00000000..c6536014 --- /dev/null +++ b/tests/conftest.py @@ -0,0 +1,6 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +def pytest_addoption(parser): + parser.addoption( + "--run_slow", action="store_true", default=False, help="run slow tests" + ) diff --git a/tests/fixtures/azure/config.json b/tests/fixtures/azure/config.json new file mode 100644 index 00000000..8adced2c --- /dev/null +++ b/tests/fixtures/azure/config.json @@ -0,0 +1,13 @@ +{ + "input_path": "./tests/fixtures/azure", + "input_file_type": "text", + "workflow_config": { + "skip_assert": true, + "azure": { + "input_container": "azurefixture", + "input_base_dir": "input" + } + }, + "query_config": [], + "slow": false +} \ No newline at end of file diff --git a/tests/fixtures/azure/input/ABOUT.md b/tests/fixtures/azure/input/ABOUT.md new file mode 100644 index 00000000..42c31610 --- /dev/null +++ b/tests/fixtures/azure/input/ABOUT.md @@ -0,0 +1,3 @@ +# About + +This document (Operation Dulce) in an AI-generated science fiction novella, included here for the purposes of integration testing. \ No newline at end of file diff --git a/tests/fixtures/azure/input/dulce.txt b/tests/fixtures/azure/input/dulce.txt new file mode 100644 index 00000000..95c9e3cd --- /dev/null +++ b/tests/fixtures/azure/input/dulce.txt @@ -0,0 +1,970 @@ +# Operation: Dulce + +## Chapter 1 + +The thrumming of monitors cast a stark contrast to the rigid silence enveloping the group. Agent Alex Mercer, unfailingly determined on paper, seemed dwarfed by the enormity of the sterile briefing room where Paranormal Military Squad's elite convened. With dulled eyes, he scanned the projectors outlining their impending odyssey into Operation: Dulce. + +“I assume, Agent Mercer, you’re not having second thoughts?” It was Taylor Cruz’s voice, laced with an edge that demanded attention. + +Alex flickered a strained smile, still thumbing his folder's corner. "Of course not, Agent Cruz. Just trying to soak in all the details." The compliance in his tone was unsettling, even to himself. + +Jordan Hayes, perched on the opposite side of the table, narrowed their eyes but offered a supportive nod. "Details are imperative. We’ll need your clear-headedness down there, Mercer." + +A comfortable silence, the kind that threaded between veterans of shared secrets, lingered briefly before Sam Rivera, never one to submit to quiet, added, "I’ve combed through the last transmission logs. If anyone can make sense of the anomalies, it’s going to be the two of you." + +Taylor snorted dismissively. “Focus, people. We have protocols for a reason. Speculation is counter-productive.” The words 'counter-productive' seemed to hang in the air, a tacit reprimand directed at Alex. + +Feeling the weight of his compliance conflicting with his natural inclination to leave no stone unturned, Alex straightened in his seat. "I agree, Agent Cruz. Protocol is paramount," he said, meeting Taylor's steely gaze. It was an affirmation, but beneath it lay layers of unspoken complexities that would undoubtedly unwind with time. + +Alex's submission, though seemingly complete, didn't escape Jordan, who tilted their head ever so slightly, their eyes revealing a spark of understanding. They knew well enough the struggle of aligning personal convictions with overarching missions. As everyone began to collect their binders and prepare for departure, a quiet resolve took form within Alex, galvanized by the groundwork laid by their interactions. He may have spoken in compliance, but his determination had merely taken a subtler form — one that wouldn't surrender so easily to the forthcoming shadows. + +\* + +Dr. Jordan Hayes shuffled a stack of papers, their eyes revealing a tinge of skepticism at Taylor Cruz's authoritarian performance. _Protocols_, Jordan thought, _are just the framework, the true challenges we're about to face lie well beyond the boundaries of any protocol._ They cleared their throat before speaking, tone cautious yet firm, "Let's remember, the unknown variables exceed the known. We should remain adaptive." + +A murmur of agreement echoed from Sam Rivera, who leaned forward, lacing their fingers together as if weaving a digital framework in the air before them, "Exactly, adaptability could be the key to interpreting the signal distortions and system malfunctions. We shouldn't discount the… erratic." + +Their words hung like an electric charge in the room, challenging Taylor's position with an inherent truth. Cruz’s jaw tightened almost imperceptibly, but the agent masked it with a small nod, conceding to the omnipresent threat of the unpredictable. + +Alex glanced at Jordan, who never looked back, their gaze fixed instead on a distant point, as if envisioning the immense dark corridors they were soon to navigate in Dulce. Jordan was not one to embrace fantastical theories, but the air of cautious calculation betrayed a mind bracing for confrontation with the inexplicable, an internal battle between the evidence of their research and the calculating skepticism that kept them alive in their field. + +The meeting adjourned with no further comments, the team members quietly retreading the paths to their personal preparations. Alex, trailing slightly behind, observed the others. _The cautious reserve Jordan wears like armor doesn't fool me_, he thought, _their analytical mind sees the patterns I do. And that's worth more than protocol. That's the connection we need to survive this._ + +As the agents dispersed into the labyrinth of the facility, lost in their thoughts and preparations, the base's halogen lights flickered, a brief and unnoticed harbingers of the darkness to come. + +\* + +A deserted corridor inside the facility stretched before Taylor Cruz, each footstep rhythmic and precise. Cruz, ambitious and meticulous, eyed the troops passing by with a sardonic tilt of the lips. Obedience—it was as much a tool as any weapon in the arsenal, and Cruz wielded it masterfully. To them, it was another step toward unfettered power within the dark bowels of the military complex. + +Inside a secluded equipment bay, Cruz began checking over gear with mechanical efficiency. They traced fingers over the sleek surface of an encrypted radio transmitter. "If protocols are maintained," said Cruz aloud, rehearsing the speech for their subordinates, "not only will we re-establish a line of communication with Dulce, but we shall also illuminate the darkest secrets it conceals." + +Agent Hayes appeared in the doorway, arms crossed and a knowing glint in their eyes. "You do understand," Jordan began, the words measured and probing, "that once we're in the depths, rank gives way to survival instincts. It's not about commands—it's empowerment through trust." + +The sentiment snagged on Cruz's armor of confidence, probing at the insecurities festering beneath. Taylor offered a brief nod, perhaps too curt, but enough to acknowledge Jordan's point without yielding ground. "Trust," Cruz mused, "or the illusion thereof, is just as potent." + +Silence claimed the space between them, steeped in the reality of the unknown dangers lurking in the shadows of the mission. Cruz diligently returned to the equipment, the act a clear dismissal. + +Not much later, Cruz stood alone, the hollow echo of the bay a stark reminder of the isolation that power often wrought. With each checked box, their resolve steeled further, a silent vow to usher their team through the abyss—whatever it might hold—and emerge enshrined in the respect they so deeply craved. + +## Chapter 2 + +Sam Rivera sat alone in a cramped office, the hum of a dozen servers murmuring a digital lullaby in the background. Surrounded by the glow of multiple screens, their eyes danced across lines of code and intercepted comm signals from Dulce — a kaleidoscope of data that their curious and isolated mind hungered to decrypt. + +To an outsider, it might have looked like obsession, this fervent quest for answers. But to Sam, it was a dance — a give and take with the mysteries of the universe. Their fingers paused over the keyboard as they leaned back in the chair, whispering to thin air, "What secrets are you hiding from us?" + +The stillness of the room broke with the unexpected arrival of Alex Mercer, whose encroaching shadow loomed over Sam's workspace. The cybersecurity expert craned their neck upwards, met by the ever-so-slight furrow in Alex's brow. "Got a minute, Rivera?" + +"Always," Sam said, a smile surfacing as they swiveled to face their mentor more directly. _He has that look — like something's not sitting right with him,_ they noted inwardly. + +Alex hesitated, weighing his words carefully. "Our tech is top-tier, but the silence from Dulce... It's not just technology that will see us through, it's intuition and... trust." His gaze pierced through the digital haze, trying to instill something more profound than advice. + +Sam regarded Alex for a moment, the sincerity in his voice resonating with their own unspoken desire to prove their worth. "Intuition," they mirrored thoughtfully. "I guess sometimes the numbers don't have all the answers." + +Their shared silence held a newfound understanding, a recognition that between the ones and zeros, it was their combined human insights that might prevail against the impossible. As Alex turned to leave, Sam's eyes drifted back to the screens, now seeing them not as barriers to isolate behind, but as windows into the vast and enigmatic challenge that awaited their team. + +Outside the office, the persistent buzz of activity in the facility belied the unease that gripped its inhabitants. A restlessness that nibbled on the edges of reality, as though forewarning of the threshold they were soon to cross — from the known into the realm of cosmic secrets and silent threats. + +\* + +Shadows played against the walls of the cramped underground meeting room, where Alex Mercer stood gazing at the concealed elevator that would deliver them into the bowels of Dulce base. The air was thick, every breath laced with the weight of impending confrontation, the kind one feels when stepping into a legend. Though armed with an array of advanced weaponry and gear, there was an unshakeable sense that they were delving into a conflict where the physical might be of little consequence. + +"I know what you're thinking," Jordan Hayes remarked, approaching Mercer. Their voice was low, a blend of confidence and hidden apprehension. "This feels like more than a rescue or reconnaissance mission, doesn't it?" + +Alex turned, his features a mask of uneasy resolve. "It's like we're being pulled into someone else’s game. Not just observers or participants, but... pawns." + +Jordan gave a short nod, their analytical mind colliding with the uncertain dynamics of this operation. "I've felt that way since the briefing. Like there's a layer we’re not seeing. And yet, we have no choice but to play along." Their eyes locked with Alex's, silently exchanging a vow to remain vigilant. + +"You two need to cut the philosophical chatter. We have positions to secure," Taylor Cruz interjected sharply, stepping into their exchange. The authority in Taylor's voice brooked no argument; it was their way of pulling everyone back to the now. + +Alex's response was measured, more assertive than moments ago. "Acknowledged, Agent Cruz," he replied, his voice steadier, mirroring the transformation brewing within. He gripped his rifle with a newfound firmness. "Let's proceed." + +As they congregated at the elevator, a tension palpable, Sam Rivera piped in with a tone of balanced levity, "Hope everyone’s brought their good luck charms. Something tells me we’re going to need all the help we can get." + +Their laughter served as a brief respite from the gravity of their mission, a shared moment that reinforced their common humanity amidst the unknowable. Then, as one, they stepped into the elevator. The doors closed with a silent hiss, and they descended into the darkness together, aware that when they returned, if they returned, none of them would be the same. + +\* + +The sense of foreboding hung heavier than the darkness that the artificial lights of the elevator shaft failed to fully penetrate. The team was descending into the earth, carrying with them not only the weight of their equipment but also the silent pressure of the invisible war they were about to fight—a war that seemed to edge away from physicality and into the unnervingly psychological. + +As they descended, Dr. Jordan Hayes couldn't help but muse over the layers of data that could wait below, now almost longing for the comfort of empirical evidence. _To think that this reluctance to accept other possibilities may have been my biggest blind spot,_ Jordan contemplated, feeling the hard shell of skepticism begin to crack. + +Alex caught Jordan's reflective gaze and leaned in, his voice barely a murmur over the hum of the elevator. "Once we're down there, keep that analytical edge sharp. You see through the mazes of the unexplained better than anyone." + +The compliment was unexpected and weighed differently than praise from others. This was an acknowledgment from someone who stood on the front lines of the unknown with eyes wide open. "Thank you, Alex," Jordan said, the words carrying a trace of newfound assertiveness. "You can count on me." + +The exchange was cut short by a shudder that ran through the elevator, subtle, but enough to make them instinctively hold their breaths. It wasn't the mechanical stutter of old gears but a vibration that seemed to emanate from the very walls of the shaft—a whisper of something that defied natural explanation. + +Cruz was the first to react, all business despite the shadow that crossed their expression. "Systems check. Now," they barked out, masking the moment of disquiet with swift command. + +Every agent checked their gear, sending confirmation signals through their comms, creating a chorus of electronic beeps that promised readiness. But there was an unspoken question among them: was their technology, their weaponry, their protocols sufficient for what awaited them or merely a fragile comfort? + +Against the gravity of the silence that was once again closing in, Sam's voice crackled through, only half-jest. "I'd laugh if we run into Martians playing poker down there—just to lighten the mood, you know?" + +Despite—or perhaps because of—the oddity of the moment, this elicited a round of chuckles, an audible release of tension that ran counterpoint to the undercurrent of anxiety coursing through the team. + +As the elevator came to a halting, eerie calm at the sub-level, the group stepped off, finding themselves at the threshold of Dulce's mysterious halls. They stood in a tight pack, sharing a cautious glance before fanning out into the unknown, each one acutely aware that the truth was inevitably intertwined with danger. + +Into the depths of Dulce, the team advanced, their silence now a shared testament to the camaraderie born of facing the abyss together—and the steel resolve to uncover whatever horrors lay hidden in its shadows. + +\* + +The weight of the thick metal door closing behind them reverberated through the concrete hallway, marking the final threshold between the familiar world above and the strangeness that lay beneath. Dulce base, a name that had been whispered in the wind-blown deserts above and in the shadowed corners of conspiracy forums, now a tangible cold reality that they could touch — and that touched them back with a chill. + +Like lambs led to an altar of alien deities, so did Agents Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera proceed, their movements measured, their senses heightened. The air was still, almost respectful of the gravity of their presence. Their torch beams sliced through the darkness, uncovering steel doors with warnings that spoke of top secrets and mortal dangers. + +Taylor Cruz, stepping firmly into the role of de facto leader, set a brisk pace. "Eyes sharp, people. Comms check, every thirty seconds," Taylor ordered, their voice echoing slightly before being swallowed by the surrounding silence. + +Sam, fiddling with a handheld device aimed at detecting electronic anomalies, offered a murmured "Copy that," their usual buoyancy dimmed by the oppressive atmosphere. + +It was Jordan Hayes who paused at an innocuous looking panel, nondescript amongst the gauntlet of secured doorways. "Mercer, Rivera, come see this," Jordan’s voice was marked with a rare hint of urgency. + +Alex joined Jordan's side, examining the panel which, at a mere glance, seemed just another part of the base's infrastructure. Yet, to the trained eye, it appeared out of place—a facade. + +Jordan explained their reasoning as Sam approached, instinctively understanding the significance of what lay beneath, "This panel is a recent addition — covering something they didn't want found." + +Before Alex could respond, the soft whir of an approaching drone cut through their muffled exchange. Taylor had looped back upon hearing the commotion. "Explanations later. We can't afford to attract..." Cruz’s voice trailed off as the small airborne device came into view, its sensors locked onto the group. + +Sam was the first to react, their tech-savvy mind already steps ahead. "I've got this," they declared, fingers flying over the controls of their own gadgetry to ward off the impending threat. + +The drone lingered, its scan seeming more curious than hostile. But within moments, courtesy of Sam's interference, the little sentinel drifted away, retreating into the shadows as if accepting a silent truce. The crew exhaled, a moment of collective relief palpable in the air. + +Cruz squared their shoulders, clearly ruffled but not conceding any ground. "Move out," they directed, a hint more forceful than before. "And Rivera, keep that trick handy." + +The team pressed onward, the quiet now filled with the soft beeps of regular comms checks, their pace undeterred by the confrontation. Yet, every agent held a renewed sense of wariness, their trust in one another deepening with the knowledge that the base—its technology, its secrets—was alive in a way they hadn't fully anticipated. + +As they converged upon a central hub, the imposing doors to the mainframe room stood ajar — an invitation or a trap, neither option comforting. Without a word, they fortified their resolve and stepped through the threshold, where the dim glow of operational LED lights and the distant hum of machinery hinted at Dulce’s still-beating heart. + +Solemnly, yet unmistakably together, they moved deeper into the heart of the enigma, ready to unmask the lifeforce of Dulce base or confront whatever existential threat lay in wait. It was in that unwavering march towards the unknown that their destinies were forever cemented to the legacy of Operation: Dulce. + +## Chapter 3 + +The thrumming of monitors cast a stark contrast to the rigid silence enveloping the group. Agent Alex Mercer, unfailingly determined on paper, seemed dwarfed by the enormity of the sterile briefing room where Paranormal Military Squad's elite convened. With dulled eyes, he scanned the projectors outlining their impending odyssey into Operation: Dulce. + +\* + +The cooling vents hummed in a monotonous drone, but it was the crackle of the comms system coming to life that cut through the lab’s tension. Dr. Jordan Hayes hovered over a table arrayed with alien technology, their fingers delicately probing the enigmatic circuitry retrieved from the crash site. Agent Alex Mercer watched, admiration blooming in silent solidarity for Jordan's deft touch and unspoken drive. + +Jordan, always composed, only allowed the faintest furrow of concentration to mar their brow. "What we understand about physics..." they muttered, trailing off as they realigned a translucent component. The device emitted a low pulse, causing Jordan to still. "Could be fundamentally changed by this." + +A calculated risk—that's what this was. And for a person of science, a gamble was worth the potential paradigm shift. + +"I’ve been thinking," Alex started, his eyes still fixed on the immediately tangible mystery before them. "About what’s at stake here. Not the mission parameters, but what this means for us—humanity." + +Jordan glanced up, meeting his eyes just long enough to convey the shared enormity of their situation; the career-defining glory and existential dread entwined. "The quest for understanding always comes at a price. We're standing on the precipice of knowledge that could either elevate us or condemn us." + +The charged air between them spiked as Taylor Cruz’s brusque tones sliced through their reverie. "Hayes, Mercer, this isn't philosophy hour. Focus on the task. We need actionable intel, not daydreams." + +With a sound of restrained acknowledgment, Jordan returned their gaze to the device, while Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order. + +Then Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.” + +The underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce. + +It was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths and for different reasons. Yet, beneath the veneer of duty, the enticement of the vast unknown pulled them inexorably together, coalescing their distinct desires into a shared pulse of anticipation. + +Marshaled back to the moment by the blink of lights and whir of machinery, they refocused their efforts, each movement sharpened by the knowledge that beyond understanding the unearthly artifacts, they might be piecing together the future of their species. + +\* + +Amidst the sterility of the briefing room, the liminal space between the facts laid out and the hidden truths, sat Sam Rivera, his demeanor an artful balance of focus and a casual disguise of his razor-sharp talent with technology. Across from him, Alex Mercer lingered in thought, the mental cogs turning as each file on Dulce stirred more than curiosity—it beckoned to a past both honored and burdensome. + +"You've been quiet, Sam," Alex noted, catching the younger man's contemplative gaze. "Your take on these signal inconsistencies?" + +There was a respect in Alex's tone, though a respectful distance remained—a gulf of experience and a hint of protective mentorship that stood between them. Sam nodded, recognizing the space afforded to him, and he couldn't help but feel the weight of expectation pressing upon his shoulders. It wasn't just the mission that was immense, it was the trust being placed in him. + +"The patterns are... off," Sam admitted, hesitant but driven. "If I'm right, what we're looking at isn't random—it's a structured anomaly. We need to be ready for anything." + +Alex's eyes brightened with a subtle approval that crossed the distance like a silent nod. "Good. Keen eyes will keep us ahead—or at least not blindsided," he said, affirming the belief that inscribed Sam's role as more than the tech personnel—he was to be a guiding intellect in the heart of uncertainty. + +Their exchange was cut short by Taylor Cruz's abrupt arrival, his gait brimming with a robust confidence that veiled the sharp undercurrents of his striving nature. "Time to gear up. Dulce waits for no one," Taylor announced, his voice carrying an iron resolve that knew the costs of hesitation—though whether the cost was calculated in human or career terms was an ambiguity he wore like a badge of honor. + +As Sam and Alex nodded in unison, the icy chasm of hierarchy and cryptic protocols seemed momentarily to bridge over with an understanding—this mission was convergence, a nexus point that would challenge each of their motives and strength. + +They filed out of the briefing room, their footsteps synchronized, a rhythm that spoke volumes of the unknown cadence they would soon march to within the base's veins. For Alex Mercer, the link with Sam Rivera, though distant, was now poised with a mutuality ready to be tested; for Taylor Cruz, the initiative pulsed like a heartbeat, anticipation thinly veiled behind a mask of duty. + +In the midst of the descent, they were each alone yet irrevocably joined, stepping closer towards the volatile embrace of Operation: Dulce. + +## Chapter 4 + +The corridors of the Dulce military base were as silent as a tomb and twice as chilling. Alex Mercer walked with a surety that belied his bubbling undercurrents of doubt. The briefing had been definitive, sturdy pillars of facts and protocols, yet as he ventured deeper, the ominous atmosphere gnawed at him—a stark reminder of how much remained unknown. + +Jordan Hayes trailed a few steps behind, their detached exterior breaking for a moment as they caught up to Alex. "What's on your mind?" Jordan asked, their astuteness cutting through the unspoken tension. + +Alex glanced back at them. This place was a puzzle, a treacherous labyrinth where the walls whispered secrets, and among them, he sensed a call to question, to challenge the narrative they'd been sold. "The silence here... It's almost as if the base is waiting for something—or someone." + +"Just stay sharp, Mercer," Jordan cautioned, yet their eyes lingered on the quietude around them, conceiving the same shadow of doubt that unsettled Alex. + +Before they could delve into further discussion, the distinctive click of a safety catch echoed in the hollow space. Both agents turned to find Taylor Cruz standing resolute, primed for combat. Taylor's gaze was scrutinizing and cold, a stark contrast to the growing unease that smoldered silently amongst the rest. + +"Chatter is a liability," Taylor snapped, with a commanding flair that bordered on tyrannical. "We move forward, eyes open, mouths shut." + +Alex felt the tight grip of compliance strangle his gut, a lesson learned under the hard tutelage of rank and order. But here, in the bowels of Dulce, those instincts began to wane, the imperative to adhere now conflicting with the pressing urgency to confront the shadows they were enmeshed in. + +Then, unexpectedly, the lights flickered, a power fluctuation—or a sign? Alex's hand instinctively went to his sidearm, his mindset shifting from soldier to skeptic. The base, with its unyielding coldness, had just given them their first nudge into the realm of the speculative, an invitation to peel back the veneer of reality. + +"We should consider all possibilities," Alex murmured, more to himself than the others, his voice a barely audible breath against the sterile air of the complex. + +Taylor's posture stiffened at the challenge, yet their response was uncharacteristically reserved, notable in its lack of rebuke. "Agreed. For now, keep moving. But stay vigilant." + +A surprise—an echo of agreement from the last person Alex expected it from. And there it was, the glimpse of a wrinkle in the unyielding fabric of command, a hint that perhaps they were all starting to sense the strangeness that permeated this place. + +Progressing with determined steps, the trio moved deeper, silently acknowledging the evolution of their predicament. It was a small yet transformative concession to the unknown forces at play, an acknowledgment from each agent that, despite their disparate goals and ideals, the true nature of the Dulce base was an enigma that would forge new paths through their convictions. + +As they reached the central communications hub, the truth that awaited them lurked in the shadows, its eyes unseen but felt by all. The walls didn't just whisper now; they spoke in tones only the brave—or the foolish—would dare to listen to. + +\* + +The subterranean silence of Dulce was an oppressive entity of its own, wrapping the team in a cloak of uneasiness as they pressed on through the dimly lit corridor. Jordan Hayes found themselves contemplating the ramifications of each step taken into this suspended world, where the sterile air seemed to mock the gravity of their predicament. The closer they got to the communication hub, the more Jordan's mind wandered toward the realm of the inexplicable. + +Beside Jordan, Alex Mercer moved forward with deliberation, his gaze scanning the heavy utility doors they passed—one of which was partially ajar, beckoning them with its darkness. "After you, Dr. Hayes," Alex said, gesturing toward the mysterious opening. A hint of shared understanding passed between them; knowledge was the guiding star of this mission as much as confrontation or recovery. + +Jordan peered inside, the beam from their flashlight slicing through the obscurity. The room beyond was a chaotic cascade of papers, overturned furniture, and the particular kind of disorder born from hasty evacuation—or something far more sinister. + +"It's like they vanished in the middle of something urgent," Alex murmured, his voice tight with a mix of concern and anticipation. He began to sift through the scattered reports, each page a potential clue to the enigmatic silence that shrouded Dulce. + +Behind them, Taylor watched with a disciplined patience, their authority the foundation upon which the operation was built. Their voice cut into the stillness, a reminder of their presence, "Time is not our ally here." + +Drawing back from momentary distraction, Jordan acknowledged the wisdom in Taylor's words, yet could feel the shift in their stance—from skeptical, reserved analyst, to a proactive agent within the narrative. "You're right; these documents may hold critical insights. Let's collect what we can and analyze them properly." + +From the darkened hollows of the room, shadows seemed to cast subtle judgment as Alex and Jordan worked together with heightened urgency. Taylor, for once, didn't intervene but instead surveyed the entrance, their mind anticipating the unknown variables that lay ahead. + +Unexpectedly, a soft hiss emanated from a neglected terminal on the desk. Jordan's head snapped up, their heart rate accelerating at the potential ramifications. Without a word, they moved to the machine, hands driven by the newfound conviction that knowledge was more than power—it was survival. + +As Jordan began to extract what data they could from the terminal, the first comprehensible communication from the depths of Dulce in far too long crackled through: an automated distress marker, looping endlessly without further context. It was a revelation, one that reverberated through the group, confirming their fears and igniting an even greater need to press on. + +Watching Jordan's dogged determination, Alex witnessed the minor transformation in his colleague unfold—a shift from doubt to action, a sliver of belief in the possibilities beyond their rational understanding. This forge of resolve amidst the alien echoes of Dulce not only bonded them closer as a team but compelled them forward with a sharpened edge of responsibility to the truth, wherever it would lead. + +As they collected their findings and regrouped, the base around them imperceptibly changed, the air charged with the vibration of secrets poised on the brink of revelation. And in that charged silence, the group moved on, each now carrying pieces of a puzzle that would soon converge into a picture of galactic significance. + +\* + +In the chill of the cramped server room, the hum of machinery was the backbone to a symphony of data streams coursing through the air. Dr. Jordan Hayes, nerves alight with the mission's mounting unknowns, patched into the last known coordinates of the unsent distress broadcast they had uncovered. They were so close to the core now – to the truth behind the blackout – it was almost tangible. + +Beside them stood Agent Alex Mercer, ever the soldier, yet with eyes that betrayed an intellect craving to understand the murk beneath the surface. "Any progress, Dr. Hayes?" Alex queried, his voice betraying a subtle urgency. + +"Getting there," Jordan replied, fingers dancing across the keyboard. "Whoever sent this was cut off mid-transmission. It's as if Dulce itself swallowed the message whole." + +Taylor Cruz closed in, their frame casting a long shadow over the duo, evoking an almost palpable wall between them and the forward momentum of their mission. "Time is against us," Taylor intoned, more statement than threat. "What we uncover here determines our next course of action." + +Alex acknowledged Taylor with a brisk nod, his stance firm. Yet inwardly, the tightening grip he felt from Taylor's words couldn't throttle the swell of his own investigative instinct. His soldier's obedience had begun to war with the advocate's zeal for unveiling the dark heart of Dulce's secrets. + +And then, the unexpected occurred. The screens flashed in unison, spilling a discordant stream of symbols and images that defied immediate analysis. Jordan's breath caught – this was the response they had been fishing for, an alien communication protocol resonating just at the edge of human comprehension. + +Each member of the team felt it: a shift in the room’s very atmosphere, like a veil being drawn from their perception. Alex and Jordan stood still, absorbed in the bewilderment of contact, while Taylor, despite their authority, hesitated – a minor betrayal that unease was creeping into even their disciplined heart. + +"Thoughts, Rivera?" Taylor rallied, seeking the counsel of Sam Rivera, whose eyes were wide with exhilaration. + +Sam stepped forward, breaking the spell of stillness. "It's like nothing I've ever seen before, but I think I can bridge our systems to communicate," they declared, a wisp of optimism braiding their voice. They set about adapting their gear to transmute the foreign signals into something the team could dissect, their actions a testament to the mentorship and belief instilled in them by Mercer and the team. + +Taylor observed them, a cold calculation behind their facade, as they weighed the worth of this anomaly. It was a crossroad that potentially led to either monumental breakthrough or unprecedented catastrophe. "Once you've established a line, document everything. We can't afford to miss any detail," Taylor ordered, the words sharper than intended. + +The connection was made, and with trembling anticipation, the team listened as the first garbled outputs began to emerge, their very essence promising insights that could alter the course of history. It was an enigmatic dance with the unknown, the pulse of Dulce no longer just a place, but a herald to an alien register the team had yet to decipher. + +Together, they stood at the precipice of understanding, where the faint glow of their monitors cast more than just light – it cast the shadow of burgeoning transformation. It was in this moment, in the grasp of an extraterrestrial tongue, that the team, bound by a hunger for knowledge and the raw edge of survival, found their mission reframed from a search for answers to the articulation of a question humankind had yet to fully ask. + +Silent in their commune with the inexplicable frequency, they realized they were not merely investigators; they had become liaisons on behalf of Earth, interpreters of a cosmic message that could redefine their very existence. The implications loomed large, but now, they would not face them alone – they would face them as a united front, wrought together by the very mysteries that once drove them apart. + +## Chapter 5 + +Dr. Jordan Hayes clutched the edge of the briefing room table, their fingers white-knuckled against the laminate surface, as an array of constellations rotated on the projector—charts and graphs bleeding across the stars. In the dim room, nebulas and dark matter seemed within arm's reach, tangible yet unfathomable. + +Sam Rivera leaned back against the wall, arms crossed, gaze darting between the swirling cosmos and the faces of their companions. A taut line of concentration etched their young features, a mingling of fervent curiosity with the nascent understanding of the high stakes for which they played. + +Jordan's voice broke the profound silence. "The patterns in the signal disruptions sync with none other than zenithal star alignments. It's as if... as if these 'meet and greets' were scheduled, predestined by celestial mechanics." + +The statement hung heavy, daring the occupants of the room to unravel its implications. Alex Mercer, his prior military resolve momentarily suspended, absorbed the hypothesis with a visible hunger. "It's like we're adhering to an appointment we never knew we had," he murmured, his heart a drumbeat in his chest. + +Taylor Cruz snorted—a sound that clattered against the high concepts like a tumbledown shack in a futurist cityscape. Folding their arms, they glanced between the agents, their apprehension clad in the contempt of practicality. "What we need are facts, not mystic conjecture." + +Alex pivoted on his heel, facing Taylor squarely, and his voice found its edge of steel. "This isn't mysticism, Cruz. It's a hypothesis based on observed phenomena as unpredictable as the place we're standing in." + +Taylor's gaze never wavered, yet the slight twitch at the corner of their mouth belied their taut composure. "If there's a semblance of truth to it, then it's critical intel. But remember, we're not astrologers—we're soldiers and scientists." + +Jordan met Taylor’s gaze with a curt nod, accepting the caution even as the crucible of their intellect smoldered with the fervor of cosmic discovery. Their eyes flicked to Sam, whose steady presence and ready tech affirmed a burgeoning dynamic—the makings of a sentinel, standing guard over the threshold of human understanding and cosmic reality. + +With the projector casting pallid light over their features, each agent became a silhouette of purpose, shadows pillared against the backdrop of an endless universe. The story they were embroiled in would soon demand they plunge into darkness to retrieve the light of knowledge—a light that could very well redraw the shape of their world. + +They left the briefing room with a shared silence, each pondering the vast weave of celestial intent and terrestrial response, sensing that the galactic appointment to which they'd unwittingly RSVP’d was more insistent—and more threatening—than any operation they’d faced before. + +\* + +As the Paranormal Military Squad team convened in the heart of the Dulce military complex, an air of bristling expectation clung to the walls of the underground sanctum. Alex Mercer’s brow furrowed while watching his companions—Jordan Hayes, diligently setting up their makeshift lab station, and Sam Rivera meticulously checking the communication relays they had restored. Taylor Cruz observed with hawk-like focus, yet to betray the strain that their command posed on them. + +The gravity of the mission had shifted, deepened; each member of the team felt its pull, tethered to the understanding that they were now part of a larger narrative—a cosmic play with Earth as a stage and the human race unwitting actors. + +Jordan paused, a tension creeping across their shoulders as they aligned the satellite data with the alien message that had been decoded. "The instructions in this message," Jordan started, the timbre of their voice betraying their usual composure. "They're coordinates and... a warning." + +Sam leaned in, their eyes widening behind the glow of their laptop screen. "A warning? Like, ‘stay away from’, or ‘beware of’...?" Their words trailed off, uncertainty a new companion in their lexicon. + +Alex exhaled slowly, his mind racing to connect the dots. "It doesn't matter which," he said, decisive yet contemplative. "What matters is we understand intent. Are we being warned out of concern, or are we stumbling upon a threat?" + +Cruz’s iron-clad facade momentarily cracked, a fleeting glimpse of vulnerability flashing through their eyes. "We need to know if this entails additional risk to the operation," they said, directing their gaze specifically at Alex. "Mercer, I rely on you to keep the team grounded. No one goes off-course." + +Their reminder seemed both a command and a plea—rooted in an understanding that each member of the team now faced the duality of their roles, protectors of earthly secrets and heralds of potentially devastating revelations. + +Sam's fingers stilled mid-type, their task forgotten as they absorbed the weight of the unfolding reality. "We're the first line of defense... or detection," they mused half to themselves, a growing sense of agency within the larger play they were cast into. + +Jordan returned to the data, more resolute in their actions. The warning, whether cautionary or dire, was a beacon they no longer could ignore; its light casting aside shadows of doubt and igniting a collective purpose within the team. + +Alex watched Jordan and Sam, feeling a brotherhood in their shared quest. As Cruz paced, poised on the cusp of decisions that would mark their career and perhaps the fate of many, Alex knew the narrative had changed. They were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve. + +Tension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril. + +Their connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer’s latter instincts gained precedence— the team’s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly hierarchies but by the pulsing symphony of the universe itself. + +\* + +The desert night loomed eerily still as echoes of hidden activity reverberated deep beneath the bleak sands of New Mexico. Diverting his gaze from the array of sensors before him, Jordan Hayes allowed a rare breath, deep and anxious. Turning to Alex Mercer's focused silhouette, the nocturnal landscape illuminated softly by makeshift floodlights, Jordan felt the syncopated tempo of apprehension and exhilaration jockey for primacy within. + +"The closer we get to unlocking these messages, the more I feel like we're peeling back layers of reality itself," Jordan confided, eyes not leaving the monitors that presented a constellation of data points. + +"Yes," Alex replied, his voice steady as he considered the implications of their discovery. "And we have to be ready for whatever we find beneath those layers. Whether it's a breakthrough or a Pandora's Box." + +Silence settled between them, broken only by the occasional buzz of communications equipment attempting to bridge terrestrial and extraterrestrial intelligences. Tense moments drifted by, laden with the expectant weight of near breakthrough, when a soft chime signaled an incoming transmission -- a rare sound that set every agent on high alert. + +Absent was the voice of Washington or Paranormal Military Squad command. Instead, a rhythmic series of pulses and tones filled the air, deliberately patterned, unmistakably non-human. + +Sam Rivera adjusted the sensitivity of the decoding equipment, their hands shaking with anticipation as much as focus. "I have it!" they announced, the signal transforming under their expertise into a sequence of visual symbols on the screen before them. + +Their shared excitement was palpable, a kinetic force resonating between the team members as they crowded around the display. + +"What does it say?" Taylor Cruz demanded, the urgency in his tone scraping against the newfound wonderment. + +Interpreting the alien syntax required not only decoding but intuition and empathy. The words that emerged upon the screen were at once coherent and enigmatic: "*Voyage. Convergence. Peril.*" + +The stark simplicity of the message struck them collectively, a chill breeze wafting through their resolve. + +Alex stepped forward, piecing together the cryptic communication with a growing sense of obligation. "It’s a call to action," he deduced, "or possibly a summons." + +Jordan's gaze met Alex’s, both understanding that this was no longer an investigation or mere extraction of hidden truths. This was humanity's unwitting enlistment into a galactic dialogue that defied boundaries of nation, creed, or protocol. + +Sam's eyes were aglow, not with fear, but with the profound acceptance of inevitability that comes with groundbreaking revelation. Moreover, within Taylor's stern exterior churned the seed of reluctant admiration for the unclassified, the uncharted realms they were approaching. + +Together, they accepted the pivot in their mission, readjusting their objectives from exploration to engagement, and from isolation to a communal outreach beyond the stars. As dawn's first light threatened the horizon, it became clear that they were no longer merely operatives of a clandestine governmental faction—they were delegates on behalf of Earth, embarking on a voyage orchestrated by destinies unrelated to the mere geopolitics of their world. + +Turning to each other, their silhouettes sketched against the coming dawn, the agents recognized the transformation within and amongst them. They were bound by more than duty—they were intricately woven into the fabric of an unfolding cosmic opera, one in which they had been granted an undeniable role. And as they set course for the coordinates that beckoned them like a distant siren's call, it was with a solemn dedication to not only uncover the mysteries ahead but to navigate the convergence, and the peril, as unified emissaries of a world on the cusp of a broader understanding. + +\* + +Beneath the hum of the fluorescent lights and the vigilance of silent monitors, Alex Mercer stood with his team in the threshold of the base's command center, their faces etched with the fatigue of hours spent unraveling galactic mysteries. Jordan Hayes broke the stillness with a delicate fusion of disbelief and resolve. "The signal..." they began, their tone deliberate, "it’s evolving. It’s not just sending a message—it’s responding to us." + +Taylor Cruz leaned over the console, their eyes narrowing with intrigue and a flicker of unease, studying the alternating patterns on the screen. "Responding? Like it’s alive?" Taylor asked, a question that bordered on the edge of wonder and alarm. + +Sam Rivera’s gaze was locked onto their interface, a digital orchestra at their fingertips. "It could be some form of advanced AI. Or something else entirely," they contributed, a note of exhilaration betraying the gravity of the situation. + +Alex paced before the terminal, absorbing the enormity of their predicament. Their mission—once rooted in the solid ground of military discipline and covert operations—had transcended into an encounter of unprecedented import. "We need to be cautious," he advised, his voice a low rumble of cautious strategy. "If this signal is intelligent, how we interact with it could dictate the outcome of this entire operation." + +Jordan met Alex's gaze with a nod, the weight of the responsibility shared and accepted. "We have protocols for first contact, but nothing for... this," Jordan admitted. The room was gripped with tension, each breath seemingly louder than the last. + +Then, with a sudden burst that filled the command center, the signal coalesced into a clear and distinct pattern which replicated and expanded, its complexity revealing the hand—or mind—of an intelligent architect. + +Taylor's instinct for command surged forth. "Prepare to record and analyze. Whatever it is, we need to understand it—" But their words were cut short as the signal surged, enveloping the room in a brief, blinding cascade of light. + +In that pulse of brilliance, a shared revelation coursed through the team. The signal had become a bridge, an extension of unknown consciousness reaching towards them, testing, communicating, searching. + +Alex stepped back from the light, feeling a profound change unravelling within him. The path forward would not be one of confrontation or conquest, but of connection and comprehension. + +Jordan turned to Alex and Taylor, seeing in their faces a reflection of the same metamorphosis taking place within themselves—a movement from observers to participants, from agents to ambassadors. + +With a collective breath, the team faced the kaleidoscope of lights. The alien signal, once a harbinger of enigma, was now a catalyst for transformation—a symphony of light and sound that echoed the beginnings of a new relationship between humanity and the alien unknown. + +And so, with deliberate steps, Alex Mercer led his team into the luminous fray. Science, protocol, and survival instinct harmonized within them, each member poised on the cusp of a new chapter in human history. + +They were no longer merely the instruments of Paranormal Military Squad's will—they were the vanguard of humankind’s first definitive leap into the cosmic community. + +With the last echoes of the signal resonating in the control room, they each embraced the sequencing of the transmission, the dance of extraterrestrial light that now wrote itself into their story. The chapter of Operation: Dulce drew to a close, but the narrative of their destiny had only just begun. + +## Chapter 6 + +\* + +The cool darkness of the command center at Dulce base was a stark contrast to the brewing storm outside, where the unforgiving New Mexico desert winds whispered of the hidden truths that lay buried deep beneath its surface. Dr. Jordan Hayes sat, their eyes fixed on the readout, the frenetic dance of symbols and numbers reflecting off their determined face. They were on the cusp of an epiphany, teetering between the widely accepted laws of physics and the promise of a new cosmic paradigm. + +Alex Mercer watched from across the room, noting the subtle shifts in Jordan’s posture that belied a developing readiness to embrace the unbelievable. “Find something?” Alex’s question, asked with a blend of curiosity and solidarity, bridged the gap between a command and a genuine query among equals. + +Jordan's response was slow, measured against the magnitude of their analysis. “This isn’t random static. It’s a pattern - a repeated sequence phasing in and out but distinctly artificial.” Jordan turned away from the screen, locking eyes with Alex. “This could change everything.” + +Sam Rivera leaned in, their eyes alight with the fires of revelation and a quenchless thirst for understanding. “A pattern means intention. Could it be a message?” + +A figure emerged from the doorway, casting a long shadow into the room - Taylor Cruz. “Intentions can be friendly, or hostile. We shouldn’t forget that,” said Taylor, bringing a dose of their usual pragmatism into the heart of discovery. + +Alex acknowledged Taylor’s caution with a nod, understanding the need to keep their feet grounded even as their spirits soared toward the unknown. “Then let’s be the first to find out which it is." + +The team gathered around the monitors, the soft tapping of Jordan's keystrokes now punctuated by the occasional crackle of Sam's radio equipment. The sound was almost ritualistic, a prelude to humanity’s potential first, knowing foray into a larger universe. + +Jordan’s fingers paused, suspended in mid-air. The signal had evolved, becoming a beacon that somehow felt less alien and more familiar. It was as if the complexities of their message were unfolding into something more accessible, more terrestrial. + +A hushed excitement swept through the room. The transformation suggested an awareness on the part of the unknown senders; a finesse that spoke volumes about their capabilities and perhaps their intentions. + +With the growing realization that they were engaging with an intelligence far exceeding their previous understanding, the team prepared to reach back across the cosmic divide. Prepared or not, they were no longer bystanders in this galactic narrative. They were active correspondents in an exchange that transcended galaxies and welcomed them into an expansive, possibly fraught, interstellar conversation. + +\* + +Inside the cavernous central hub of Dulce military base, Dr. Jordan Hayes stood in near-darkness, surrounded by a nest of cables and monitors that buzzed with silent, cryptic life. Jordan's eyes narrowed to focus on the sequences that danced across the screen—patterns that could unravel the cosmic enigma surrounding them. + +Alex Mercer approached with his characteristic stride, a signal of reliability in the chaos. "Status report, Dr. Hayes?" he inquired, his voice low, almost blending into the soundscape of beeping consoles and swirling fans. + +"We're on the brink of unravelling the signal's origin," Jordan replied, the weight of implications heavy in their tone. "There's intelligence behind it, a thought process alien to our own." + +As if summoned by their analysis, Taylor Cruz approached with authority radiating from every pore. "Understand this, we need to know if it's friend or foe. Don't get wrapped up in the existential—our lives may depend on the answers you provide." + +Sam Rivera, their hands adroitly adjusting a device to fine-tune the signal, chimed in with optimism undercut by anxious anticipation. "We're deciphering the comm encryption. Soon, we'll have a channel open—not just listening in, but speaking back." + +Alex nodded his understanding, his strategic mind processing the tactical implications while grappling with the more profound humanistic impact. "When we do, we'll tread carefully, communicate with purpose," he reassured the team. + +The operation had evolved rapidly, from a stealthy incursion into a clandestine labyrinth to an exchange with an extraterrestrial intellect. Their earlier trepidation transformed into determined focus, as they prepared to extend humanity’s hand into the vast unknown. + +An alert on one of the monitor stations snapped the team into alarm. The signal had not simply been waiting—it had been calculating. Now, it reached its crescendo, demanding their attention with a provocative urgency. + +Jordan's fingers raced over the keyboard, their eyes simultaneously interpreting data and sharing directives. "It’s a linguistic lock, a test of comprehension. We crack this, we establish dialogue." + +Taylor's presence was a beacon of steely resolve. "Then let’s solve it. This is what we trained for—the unknown." + +Alex and Sam exchanged a look that telegraphed their shared determination—this was not only the mission they had trained for; it was the mission they had been destined for. + +Together, the Paranormal Military Squad team leaned into the challenge, their minds honing in on the complex patterns with a singular goal: to unlock the conversation with an intelligence that had already begun to shift the foundations of what they knew, or thought they knew, about the universe. + +In a symphony of clicks and murmurs, they worked, knowing they were about to make a giant leap not just for themselves or Paranormal Military Squad, but for all of humanity. As the final pieces fell into place, Dulce's militaristic silence was shattered by the sound of intergalactic contact—by the sound of history being made. + +## Chapter 7 + +In the enclosed space of Dulce’s command center, the air was thick with anticipation, each team member poised to tread the razor's edge between scientific breakthrough and galactic peril. Dr. Jordan Hayes focused intently on the screen, their fingers tapping a staccato rhythm against the keyboard as lines of alien code cascaded down the monitor. + +Alex Mercer's steely gaze surveyed the room, stopping on each member of his team. "Thoughts?" he asked, echoing the unspoken tension. His question, while directed at the group, lingered on Jordan—acknowledging their expertise and inviting collaboration rather than dictating orders. + +Jordan’s brow furrowed, an indicator of the mental gymnastics being performed. "It's unprecedented," they finally said, their voice a testament to the gravity of the moment. "Behavioral algorithms... if we're right, this code could reveal extraterrestrial thought patterns." + +Before anyone could react, Taylor Cruz interjected with the assertiveness of someone accustomed to commandeering the discourse. "Then let’s ensure we’re deciphering it correctly," Taylor stated, their tone suggesting they were still battling to maintain control over an increasingly alien situation. + +Sam Rivera hovered near the mainframe, youthful energy barely contained under the surface. "What if it’s more than just a message? What if they’re trying to extend consciousness across the stars?" + +The room fell into a contemplative silence, broken only by the hum of electronic equipment and the distant thud of secured doors locking in rhythm. The weight of responsibility rested on each agent's shoulders—a heaviness palpable in the air they shared. + +Alex stepped forward, reaching a subtle decision, one dictated by foresight and the humanity nestled at the core of their mission. "We approach with the aim to understand, not to confront," he said, softening his military bearing into a more diplomatic stance. + +Jordan nodded, appreciating the leadership that Alex displayed in the face of the unknown, and turned back to the cryptic data. Here, before them all, was a tangible piece of evidence—proof of an extraterrestrial sentience that had outreached the bounds of their expectations. + +Taylor took a breath, simultaneously exuding a sense of preparedness and venturing into the unknown alongside their peers. "Then let’s do what Paranormal Military Squad does best—investigate and adapt," Taylor added, finding comfort in the familiar even as they stood on the cusp of an unprecedented alchemy of science and mystery. + +The team leaned into their respective roles, driven by the urgency of the assignment and the pull of an insatiable curiosity. Sam offered a grin that belied the tension, a youthfulness that reminded them all of the profound excitement nested within the terror of the unknown. + +Quietly but resolutely, they turned back to their instruments, each of them a sentinel on the threshold of a new reality. The once implicit lines of command were now woven into a shared tapestry of hierarchy and camaraderie. As they danced with the unknown, they were beacons of sentient endeavor, casting the light of human consciousness into the vast darkness that called to them. + +\* + +\* + +Dulce Base's cavernous darkness was pierced by the sharp luminescence of monitors, casting an electric glow onto the faces of those who dared to unearth its secrets. Dr. Jordan Hayes stood motionless, eyes glazed in concentration, their mind a nexus where terrestrial science battled with celestial unknowns. + +Alex Mercer watched from a slight distance, the weight of command tangible upon his shoulders, though lightened by the shared burden now held amongst them. "We could be on the frontier of a new kind of diplomacy," he mused aloud, giving voice to the moment's gravity. + +At those words, Jordan's trance broke. "If that's the case, then these communications," Jordan motioned to the stream of data, "are our olive branch across the cosmos." + +Taylor Cruz, who paced with restless energy, halted and faced the team—his stoicism marred by the erratic dance of lights reflected in his eyes. "An olive branch, or an invitation to a battlefield?" he posed, ever the strategist, his words laced with a hint of cynicism. + +Sam Rivera, nestled amongst an array of equipment, licked their lips—a mixture of nerves and anticipation palpable. "We're mapping out something incredible here. Whether it's peace or war, we're the cartographers." + +Silence enveloped them like the expanse of space itself, each member contemplating the chasms they might bridge—or the abysses into which they might unwittingly descend. + +Alex's demeanor assumed a quiet resolve—the profound knowledge that this mission was as much about navigating uncharted philosophical territories as it was about ensuring survival. "Whichever it proves to be, we'll face it. Prepared, unified." + +A nod passed between Jordan and Alex, a silent exchange of mutual respect and shared mission. Sam, buoyed by the weighty encounters of the mind and machinery, entered keystrokes with a fervor that seemed to bring them ever closer to the alien mind. + +They stood there, the Paranormal Military Squad team, not just as guardians of homeworld secrets or as soldiers of clandestine wars, but as humankind's chosen few at the fulcrum of history—a history that was now unfolding to the rhythm of otherworldly codes. + +Each revelation, each parsed symbol, inched them toward the line between the earthly and otherworldly. And as they stood on this precipice of cosmic negotiations, it was clear the ensuing dialogue would not just shape the future of Paranormal Military Squad—it could very well redefine the parameters of human existence. + +\* + +The hum of advanced computational systems tingling with cryptic transmissions framed the ambiance of Dulce's mainframe chamber. Jordan Hayes, fingers hovering over a console dense with blinking lights, furrowed their brow as sequences of alien data streamed across the screen. + +Alex materialized behind them, his presence a stable beacon amidst the technological whirlwind. "Look for patterns, anomalies. Anything that might resemble a handshake protocol in their communications," he directed, his voice a low thrum, reverberating with cautious optimism. + +Jordan cast a glance over their shoulder, acknowledging Alex's contribution with the shared understanding of colleagues who had transcended mere professional acquaintance. "I’m isolating sequences that seem to recur with more intention than static. If these are their ‘handshakes,’ then we might just be making first contact," they remarked, their focus returning to the screen with renewed vigor. + +From the other end of the room, where shadows married the artificial light, Sam's voice crackled through the static of nearby speakers, "Don't forget the anomalies we detected earlier. Each one could be a word, a sentence, or even a concept untranslatable to our current understandings." + +Resolute, Taylor Cruz stood at Jordan's other side, a stoic figure wrestling with the implications of their mission. "Keep pursuing this line," Taylor instructed, an undercurrent of intensity carried forth in their otherwise composed demeanor. "And remember, this isn't just about making contact; it's about securing knowledge for humanity." + +Alex offered a nod that spoke volumes, conveying his understanding of the stakes at play. Here, in this chamber of possibility, the team's actions would determine if humanity stood at the brink of a new age of understanding or the onset of an unprecedented threat. + +Every second thrummed with significance as Jordan and Sam worked in tandem, each keystroke a foray into the unknown. Taylor observed with a commander's scrutiny, the gravity of their role sustaining them against the waves of ambiguity breaking against their resolve. + +Pivotal moments come rarely in the course of human events but here, amidst the electronic symphony of a stalwart command center, lay the incepting notes of a cosmic overture. The harmony between human and alien, between Paranormal Military Squad and the vast reaches of space, began its first tentative measures, with each member of the team a vital instrument in a celestial ensemble yet to be fully heard. + +\* + +The crisp air within the mainframe room of Dulce base seemed to hum with unspoken possibilities. Jordan Hayes was the centerpiece of focus, their hands dancing methodically over the console as streams of otherworldly code cascaded down monitors, each flicker a potential key to the cosmic doors they were inching open. + +Alex Mercer watched, posture relaxed but eyes sharp. "Remember, this could be our first introduction, maybe even our first impression," he said, mindful of the gravity carried by each action they made henceforth. + +A hint of a smile touched Jordan's face, a small acknowledgment of the monumental task at hand. "Understood. I'm balancing the signal's syntax with our algorithms. If we're interpreting this correctly, it could be... well, an invitation." + +Into the electric tension of the chamber walked Taylor Cruz, their silhouette a sharp contrast against the cool lighting, radiating a presence that spoke of command and chilly tenacity. "An invitation, or a challenge?” Taylor questioned, the weight of their suspicion casting a different tint on the cascading data. + +Sam Rivera, in a corner arrayed with sophisticated equipment, piped up, their voice a buoyant note amidst the tentative atmosphere. "Either way, it's a connection. One that we're uniquely positioned to navigate," they remarked with an air of optimism threading through the uncertainty. + +Alex channeled the strengths of his team into the core of their approach, his leadership adapting to the contours of an unprecedented scenario. "Cautious and curious," he reflected aloud, shaping a strategy that balanced their thirst for comprehension with the prudence required in addressing the unknown. + +Jordan, hands momentarily at rest, looked up. The signal was more than a sequence of bits and commands—it was a riddle wrapped in the depths of space-time, and they were on the cusp of parsing its meaning. + +Taylor, hardly a step away, nodded in silent agreement. The implications of their findings might very well direct the course of human destiny from this point onward. + +Finding a tempo among themselves, the Dulce team was a confluence of ambition and acumen, each member intuitive to the beats of discovery. The chamber around them held untold stories, secrets coaxed from the stars, that now, led by Paranormal Military Squad's finest, began to unravel. + +The future in those moments was unwritten, a narrative scribed not in the dust of desert confines, but in the potential for interstellar diplomacy and understanding. As they prepared to script humanity's next chapter, the room seemed to pulse with the heartbeat of a story far greater than the sum of its parts. + +## Chapter 8 + +The grit of an earthbound dust storm contrasted sharply with the pristine sterility of the underground command center. Alex Mercer, eyes set with fervent determination, stood over Jordan Hayes, whose fingers danced across the keyboard with rapid purpose. Monitoring the progression of alien code unraveling before them, Mercer spoke with a tempered urgency, "Keep it steady, Jordan. We might be initiating the first true interspecies communication bridge here. It's all about finesse now." + +Taylor Cruz, the embodiment of military precision, surveyed the room with a calculated gaze from their vigil beside an array of glimmering screens. "Remember, these could be delicate negotiations -- or coded threats. Stay sharp," Cruz added, their voice cool as polished steel. + +Jordan, with a silent nod, recognized the gravity of both stances. Gravitating between scientific acuity and diplomatic caution, they replied, "The sequence is aligning—syncing with our comms. It's looking more and more like direct engagement." + +Amid the banks of electronic machinery, the thrumming pulse of an impending interspecies signal exchange, Sam Rivera interjected with a youthful zeal that cut through the weighty atmosphere, "It's not just an exchange. It's a... symphony. It's as if they're teaching us their language through modulation." + +A moment of profound silence swept over the team. The isolation of their location, deep within the top-secret labyrinth of Dulce, became suffused with an almost palpable sense of historical significance. + +"Then our response needs to be equally symphonic," Alex uttered, contemplating the awe-inspiring transmutation of their task from a simple recovery mission to a full-blown cosmic concerto. + +With a renewed sense of wonder tempered by caution, the Paranormal Military Squad team found themselves harmonizing a delicate balance between envoys and interpreters. The long shadow cast by their duty was now illuminated by the brilliant glow of otherworldly dialogue. + +In this carefully orchestrated march towards the unknown, each individual's expertise became critical notes in a larger melody. The narrative of human achievement, so often defined by solitary pursuits, now emerged as a collaborative opus, each member of the team a maestro in their right. + +The protocols of encounters, the mathematics of languages, and the poetics of connection all fused into a singular moment of convergence. The echo of their efforts reverberated back to them, not through the cavernous base's concrete walls, but from light-years away, in the form of a reply, intangible yet infinitely profound. + +\* + +Amidst the hum of the supercomputers and the faint static from the scrambled transmissions, Alex Mercer cast a thoughtful glance across the dimly lit room toward where Dr. Jordan Hayes was methodically adjusting the archaic dials of the decryption machine. "Any progress?" he asked, his tone conveying both impatience and the deep-seated respect born from countless shared challenges. + +Jordan did not look up, their gaze remained locked on the flickering lights that represented a dialogue suspended between worlds. Their fingers ceased their dance, hovering meditatively over the controls. "We might be on the cusp of a breakthrough," Jordan suggested. "The signal... it's evolved. It's reflexive now, responsive in a way that suggests sentience." + +Taylor Cruz's familiar sharp strides approached the two, breaking the rhythm of soft beeps. "Responsive is good, if it means understanding," Taylor said, head tilted as they peered at the encryption data scrolling by. "But remember, comprehension can bring revelation or conflict." + +Sam Rivera’s youthful voice permeated the tension, brimming with an excitement edged by the enormity of what they faced. "If it's truly sentient, we're not just cracking a code; we're learning how to converse with an entirely new form of consciousness," they chimed in, the weight of history not lost on the zealous astrotechnician. + +Alex nodded, his thoughts alighting on potential strategies for navigating the conversation they were cultivating with the unfathomable. "We need to keep that conversation going, echo its patterns, and speak its language," he resolved, knowing the delicate nature of their work merited every ounce of their collective acumen. + +The chamber now was a crucible, forging within it the future narrative of human contact with the unknown. Every signal pulse they sent out was an invitation for understanding, and every echo back a step closer to bridging the cosmic divide. And so, together, they stood - agents in Paranormal Military Squad's clandestine ranks, united by purpose, sculpting humanity’s first sonnets into the void. + +\* + +#### Knowledge graph updates + +- (Jordan Hayes, Interprets, Communications as cosmic diplomacy, Moderate) + +- (Taylor Cruz, Questions, Potential aggressiveness of alien intent, Minor) + +- (Sam Rivera, Expresses, Optimism about forming a connection, Minor) + +- (Alex Mercer, Adopts, Balanced strategy for contact, Moderate) + +- (Paranormal Military Squad team, Navigates, Beats of cosmic discovery, Moderate) + +- (Paranormal Military Squad team, Prepares, To script humanity's interstellar narrative, Major) + +## Chapter 9 + +The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought. + +Dr. Jordan Hayes, whose hands had been steadfastly working the decryption algorithms, paused and looked up at Alex. "We're through the next layer of encryption," Jordan announced, a mixture of pride and gravitas in their tone. "It's communicating. It's... aware." + +A shadow momentarily clouded Alex's determined features—awareness implied so much more than mere intelligence. "Aware and reactive or aware and proactive?" he queried, his experience anticipating the pivotal importance of intention. + +"Unknown at this stage," Taylor Cruz interjected, looking up from a datasheet. "But I urge caution. We tread the line between breakthrough and disaster with each keystroke." + +Sam Rivera, ever the source of technological acumen, added their voice to the conversation. "The signal's adapting every time we interact with it. Like a conversation where both parties are learning each other's language in real time." + +Alex leaned in, rested a hand on Jordan's shoulder—a sign of companionship and an affirmation of trust. "Keep the communication channels open. But let no message, no pulse go unchecked. This could be our Rosetta Stone or our Tower of Babel." + +Silence fell over them, a momentary lull as each member of the team contemplated the historic weight of their task. Yet, it was impregnated with a tangible sense of excitement—a collective energy that thrummed through the air just as palpably as the electric current through the banks of machines surrounding them. + +They continued their work, squaring shoulders against the magnitude of their undertaking. The agents were standing not just at the precipice of a new chapter for Paranormal Military Squad but for all of humanity. For now, they communicated with powerful unknowns, but with each exchange, they were etching the first words of a dialogue that might forever alter humanity's place in the cosmos. + +\* + +\* + +The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought. + +Dr. Jordan Hayes, whose hands had been steadfastly working the decryption algorithms, paused and looked up at Alex. "We're through the next layer of encryption," Jordan announced, a mixture of pride and gravitas in their tone. "It's communicating. It's... aware." + +A shadow momentarily clouded Alex's determined features—awareness implied so much more than mere intelligence. "Aware and reactive or aware and proactive?" he queried, his experience anticipating the pivotal importance of intention. + +"Unknown at this stage," Taylor Cruz interjected, looking up from a datasheet. "But I urge caution. We tread the line between breakthrough and disaster with each keystroke." + +Sam Rivera, ever the source of technological acumen, added their voice to the conversation. "The signal's adapting every time we interact with it. Like a conversation where both parties are learning each other's language in real time." + +Alex leaned in, rested a hand on Jordan's shoulder—a sign of companionship and an affirmation of trust. "Keep the communication channels open. But let no message, no pulse go unchecked. This could be our Rosetta Stone or our Tower of Babel." + +Silence fell over them, a momentary lull as each member of the team contemplated the historic weight of their task. Yet, it was impregnated with a tangible sense of excitement—a collective energy that thrummed through the air just as palpably as the electric current through the banks of machines surrounding them. + +They continued their work, squaring shoulders against the magnitude of their undertaking. The agents were standing not just at the precipice of a new chapter for Paranormal Military Squad but for all of humanity. For now, they communicated with powerful unknowns, but with each exchange, they were etching the first words of a dialogue that might forever alter humanity's place in the cosmos. + +\* + +Alex Mercer's eyes were fixed on the monitors, the reflected light casting an ethereal glow across his stoic face. The room buzzed with tension, a cacophony of low hums and electronic beeps that underscored the historic nature of their actions. He moved to where Dr. Jordan Hayes was immersed in their work, scrutinizing the alien code streaming rapidly down the terminal. + +"Find anything that might look like an entry point or a... digital handshake?" Alex asked, his voice steady, betraying none of the tension gripping his chest. + +Jordan looked up briefly, their expression weary yet intense, "Potentially. It's as if the code is anticipating our input, modifying itself in real-time. I've never seen anything like it." + +From across the room, Taylor Cruz's sharp voice cut through the hum. "Then it's learning or, possibly worse, baiting us. Proceed with extreme caution," they commanded, their firm stance reinforcing the gravity of the situation. + +Sam Rivera, surrounded by a cascade of screens and interfaces, added, "It's almost organic in its complexity. Any minute now, and I might have a way in." + +A slight nod was Alex's immediate response, his mind racing through the potential scenarios. "Everyone, stay alert. This could be the beginning of something profound." His seasoned eyes never left the unfolding drama on the monitors. + +The room fell silent, the air heavy with unspoken questions. Were they mere moments away from unlocking an otherworldly dialogue? Or was it a Pandora's box that, once opened, could not be closed? + +Alex moved closer to the main console, his fingers hovering over the command keys. With the precision of a maestro orchestrating a symphony, he communicated silently with Jordan – respectful of their expertise, aware that the next move could alter the course of human history. + +Jordan met his gaze, nodding sharply, and refocused on the task. The signal seemed to pulse with sentient curiosity, drawing them further into its intricate web. + +A sudden flurry of alerts and the intensifying glow of monitors heralded that they had bridged a technological chasm. The alien intelligence on the other end was no longer a distant enigma – it was an active participant, responding to their digital overtures with an unknown agenda. + +The team's meticulous efforts had led them to a momentous threshold. Beyond lay unprecedented contact – a nexus of curiosity and potential peril. Within the confines of the base, against the backdrop of a silent desert night, the Paranormal Military Squad operatives became mediators of Earth's bid for cosmic relevance, their every action now a gesture in the grand dance of intergalactic relations. + +## Chapter 10 + +The corridors of the Dulce military base, now silent, echoed with a history of whispered conspiracies and furtive movements. But in the command center, a delicate tapestry of light and sound was being woven as the echoes of cosmic dialogue resonated through the high-tech enclave. Dr. Jordan Hayes, now leading the efforts, called out from their workstation, "I’ve isolated the signal's harmonics. It's more than a call; it's a song, an interstellar siren’s call." + +Alex Mercer, steady and resilient in the face of the incomprehensible, acknowledged with a quiet nod, "A song that we need to learn—quickly." His eyes, heavy with responsibility, scanned the room, watching his team work tirelessly at the intersection of science and speculation. + +Sam Rivera, dulled by fatigue yet driven by unshakeable resolve, manipulated a complex array of audio interfaces. "There's a pattern, a repeating motif. It's structured, intentional," they muttered, their revelation a bridge between the known and the unimaginable. + +Taylor Cruz, a figure of central authority, paced the length of the room, their usual unflappable demeanor betraying a rare flicker of apprehension. "We should be wary of the sirens’ call," Taylor interjected, invoking myths of old as a cautionary metaphor. "We don't want to crash upon unseen shores." + +Undeterred, Jordan cast a determined glance at the team. "We navigate by starlight now, not by the limited light of our previous understanding." Their voice was a beacon, charting a course through unchartered realities. + +Every individual was acutely aware that each moment in that room was a conduit to an epochal shift for civilization. The mysterious signals, once distant and alien, had coalesced into complex and harmonious oscillations—beacons of an extraterrestrial intellect inviting Earth to join in a cosmic consortium. + +Silently, Alex approached the mainframe, his trained fingers aligning with the console’s mechanisms. The room watched in collective breathlessness as he set the frequency in motion, an introductory phrase to an otherworldly melody—a symphony that could bind worlds or spell devastation for all they knew. + +In the control room of Dulce, amongst whispered legends and the quiet hum of machines, humanity's ambassadors now stood, stretching their hands into the void, reaching for the hand that would either pull them into the light of new stars or into the maw of darkness between them. + +\* + +Underground, the Dulce facility's command center was awash with frenetic energy, a stark juxtaposition against the silent, decrepit corridors that enveloped them. The air hummed with anticipation as Dr. Jordan Hayes and Alex Mercer hunched over a console. The sterile light from the monitors cast an otherworldly glow upon their faces, now reflecting a mosaic of alien characters rapidly translating across the screen. + +"The patterns are evolving," Jordan murmured, concentration etched into their every feature. "It’s as if our attempts to decrypt have accelerated its learning. It’s adapting to us." + +Alex, who stood steadfast behind Jordan, felt a tinge of uncharted fear quickly quelled by the fire of discovery raging within him. "Keep it up," he urged. "But whatever this is becoming, we need to ensure it remains within our control." + +Taylor Cruz interjected, their voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data. + +"It's like it's learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives ‘talking to strangers’ a whole new meaning." + +Alex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back." + +Together, they stood on the edge of the unknown, forging humanity’s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history. + +The encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation of their investigative strategies. The air turned heavy with the scent of electricity and ambition as they closed in on a pivotal response. + +As the signal’s intelligence—whether artificial or biological—grew more profound, so too did the realization that their mission had morphed from passive observation to active engagement. There was no turning back now. Each agent embraced their part in the delicate dance of an interstellar exchange that could change everything they thought they knew about life, intelligence, and the dark void beyond Earth's atmosphere. + +\* + +The underground halls of Dulce Base, usually buzzing with covert operations, now thrummed with a different kind of energy, an electric mix of fear and fascination. At the heart of the base, in a room shielded from the world’s eyes, Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera huddled around a bank of monitors. Each screen flickered erratically with the alien script that had become the center of their lives—and perhaps the pivot on which humanity’s future would turn. + +Jordan's eyes never wavered from the displays, their expression was one of rapt concentration, interspersed with flashes of revelation. "We're conversing with the stars," they whispered, almost to themselves. The words hung in the air, a testament to the awe-inspiring strangeness of the situation. + +"The language is morphing; changing its structure with every exchange we have," Sam chimed in, enthusiasm tinged with the solemnity of the occasion. "It's like witnessing the birth of a new form of dialogue—one that spans galaxies." + +Taylor, despite the situation's precariousness, maintained an appearance of ironclad composure. "Keep the communication stream secured and monitored. We don't know what we're dealing with yet," they reminded the team, a bastion of protocol amidst uncertainty. + +Alex watched his team expand the parameters of human achievement; their work here would possibly define an era. "This is untrodden territory," he acknowledged, "and in every word we script, in every response we decode, we're drawing a map that others will follow." + +Jordan turned to Alex, a nod acknowledging the shared responsibility of this moment. They had embarked on a new voyage, an odyssey not of the body, but of the intellect and spirit. No longer explorers of the Earthly realm, they had been promoted by circumstance to ambassadors of humanity in a silent and boundless ocean. + +A sudden pulse of energy from the monitors signaled a breakthrough; the language had not only adapted but it seemed to resonate, to harmonize with their attempts at making contact. The alien script now sprawled across the screens didn't just ask to be understood—it invited interpretation, collaboration, maybe even companionship across the cold distances of space. + +As they stood before the precipice of first contact, Paranormal Military Squad's finest became the architects of a symphony meant to echo through the cosmos. But more than architects, they were the first to play the notes of this cosmic composition, daring to believe that on the other end, someone—or something—might be listening, ready to join the chorus. + +\* + +The underground command center of Dulce Base, once pulsing with clandestine operations, now resonated with the charge of an impending cosmic threshold. Encircled by banks of whirring machinery, each monitor flickered erratically with alien script that had occupied center stage in the lives of Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera. + +Jordan's gaze didn’t flit for even a moment from the screens, where indiscernible alien messages ebbed and flowed like the tide. The ciphers and symbols cascaded down as they tweaked the algorithmic sliders. "This sequence here," Jordan began, voice both hushed and heavy, "it’s not just transmitting; it resonates—it's designed to be felt." + +The room took a collective breath, the remarkable implication hanging in the air like a careful revelation. Sam Rivera was the first to respond, their voice alive with ingenuity: "It's a form of communication stretching well beyond words. We need to respond in kind—the whole array of human expression might be at play here." + +Taylor's eyes remained fixed on the figures playing across the data sheets. "If that's the case," Taylor intoned pragmatically, "we must tread carefully. This is no longer just about being heard—it's about being understood." + +Alex watched his team, each a fulcrum of insight and expertise, and felt the solemnity of the role they were about to assume. "Then we'll ensure our message is clear and full. Our humanity is our strength in this dialogue," he declared, the depths of his experience fueling a commanding reassurance. + +The anticipation was palpable as the agents contemplated the vastness of their endeavor. They were not merely probing at the secrets of the planar cosmos—they were negotiating across the starry expanse, extending to distant intelligences the full spectrum of human curiosity and compassion. + +A symphony of beeping consoles orchestrated their next steps as they prepared to articulate their interplanetary overture. The rhythmic tapping of Jordan's keystrokes set the tempo for an undertaking that traversed beyond algorithms and encryption. + +The base withstood time and whispered secrets of its own, but none so grand as this moment of creation—an invitation to the universe that promised to echo through both the echoes of space and the annals of human history. + +## Chapter 11 + +The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought. + +\* + +The thrum of the colossal machinery vibrated through the subterranean facility as Alex Mercer stood amidst the whispers of technology, each carrying voices from worlds apart. He watched as Sam Rivera adjusted a complex array of cosmic translators, their expression a mixture of anticipation and awe. + +"Are we ready, Mercer?" Taylor Cruz asked, the soft glow of the command center consoles reflecting upon their stern face. + +Alex turned towards Taylor, his eyes holding a depth that betrayed the enormity of the threshold they were about to cross. "This is it," he said. "Initiate the protocol. It's time we answer the cosmos." + +Jordan Hayes, stationed at the mainframe, typed rhythmically, a blue hue painting their focused features. The eerie silence that had settled over the team was interrupted by a visceral sound—humankind's response to the alien dialogue, now streaming into the abyss. + +The control room, once a fortress of solitude, erupted into an oasis of life. Lights flickered in tandem, echoing the symphony of interstellar communication. They stood together at the edge of discovery, facing the symmetry and discord of a universe unknown. + +"If we're right, we've just become Earth's first emissaries to a celestial congress we're only beginning to comprehend," Jordan's voice was somber, resonating with a mix of trepidation and honor. + +The room filled with the resonance of human and alien minds converging, creating a new narrative within the fathomless expanse of existence. Paranormal Military Squad, once protectors of Earth's clandestine secrets, had now become the tether linking humanity to the cosmic fold. + +\* + +The underground command center of Dulce Base, once pulsing with covert operations, now resonated with the charge of an impending cosmic threshold. Encircled by banks of whirring machinery, each monitor flickered erratically with alien script that had occupied center stage in the lives of Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera. + +Jordan's gaze didn’t flit for even a moment from the screens, where indiscernible alien messages ebbed and flowed like the tide. The ciphers and symbols cascaded down as they tweaked the algorithmic sliders. "This sequence here," Jordan began, voice both hushed and heavy, "it’s not just transmitting; it resonates—it's designed to be felt." + +The room took a collective breath, the remarkable implication hanging in the air like a careful revelation. Sam Rivera was the first to respond, their voice alive with ingenuity: "It's a form of communication stretching well beyond words. We need to respond in kind—the whole array of human expression might be at play here." + +Taylor's eyes remained fixed on the figures playing across the data sheets. "If that's the case," Taylor intoned pragmatically, "we must tread carefully. This is no longer just about being heard—it's about being understood." + +Alex watched his team, each a fulcrum of insight and expertise, and felt the solemnity of the role they were about to assume. "Then we'll ensure our message is clear and full. Our humanity is our strength in this dialogue," he declared, the depths of his experience fueling a commanding reassurance. + +The anticipation was palpable as the agents contemplated the vastness of their endeavor. They were not merely probing at the secrets of the planar cosmos—they were negotiating across the starry expanse, extending to distant intelligences the full spectrum of human curiosity and compassion. + +A symphony of beeping consoles orchestrated their next steps as they prepared to articulate their interplanetary overture. The rhythmic tapping of Jordan's keystrokes set the tempo for an undertaking that traversed beyond algorithms and encryption. + +The base withstood time and whispered secrets of its own, but none so grand as this moment of creation—an invitation to the universe that promised to echo through both the echoes of space and the annals of human history. + +## Chapter 12 + +The underground facility of Dulce Base, once shrouded in silence and operational secrecy, now hummed with an energy that cradled the promise of cosmic revelation. Alex Mercer stood pensively by the central terminal, flanked by Dr. Jordan Hayes, Taylor Cruz, and Sam Rivera, each poised at the edge of a history-defining moment. + +Jordan's fingers ghosted across the console, tracing patterns of otherworldly origin. "The signal’s architecture is becoming more complex, resembling aspects of human cognition—recognition, learning, even... empathy?" they postulated with furrowed concern. + +Alex turned his gaze upon Jordan, his voice quiet but resolute, "Empathy could bridge galaxies. Let's harness this connection and proceed with cautious optimism." + +Taylor, ever the sober sentinel, projected a more pragmatic standpoint. "Empathy or not, we are duty-bound to assess the risk to humanity. Every new discovery warrants a measured response." + +The static hiss of communications equipment filled the air, its purpose now transformed into a dialogue with an intelligence beyond the stars. It was Sam, wide-eyed amid the myriad lights and switches, who broke the silence, "We have provisional confirmation of the signal’s intent—initiation. We’re being brought into a broader spectrum of cognizance." + +The chamber lay still for a heartbeat, the Paranormal Military Squad agents steeped in contemplation of the path unfurling before them—a path paved with possibilities of diplomacy or disruption, each step a venture further into the cosmic unknown. + +Alex stepped closer to the viewing monitors, each depicting alien symbols seemingly reaching out from the void. "Initiate the broadcast," he spoke with quiet command. "Our response will mark humanity’s readiness to partake in the wider conversation of conscious beings." + +Amidst the crackling air of expectation, the team wordlessly returned to their stations. They had transcended their roles as protectors of Earth's clandestine lore to become the harbingers of an interstellar parley that could change the existential course of life on their pale blue dot. + +The deep hum of the terminal emitted a signal—a testament to the uncanny reality that Earth was now actively partaking in an exchange not bound by gravity nor the limits of the solar wind. + +Here, in the depths of Dulce, a message from humanity woven from understanding and uncertainty was cast into the firmament, an epitheg of their desire to join the universal dialogue and discover their place among the constellations. + +\* + +The somber depths of the Dulce Base command center stood in stark counterpoint to the animated flurry of activity around the central comms array. Alex Mercer's silhouette loomed behind Dr. Jordan Hayes, who sat with a posture indicating laser focus on the decryption process. A quiet murmur of digital soundscape filled the space, subtly heightened by the anticipation of contact with an intelligence beyond the Earth. + +Jordan's voice was steady, betraying none of the extraordinary nature of their work, "Looking through the signal's pattern, it's evident we’re dealing with a form of intelligence—calculating, mirroring, possibly even understanding." + +Alex's reflection bounced off the darkened screens, his head nodding in silent affirmation. "We’re walking a delicate line. Our response should be thoughtful, measured. We’re ambassadors, not merely explorers." + +Taylor Cruz approached, arms folded, their words slicing through the din of careful keystrokes and soft whirrs, "If there’s even the slightest chance it understands, we can’t afford missteps. The language of the stars might be more absolute than ours." + +From another terminal, Sam Rivera brought youthful vigor to the conversation, "There’s rhythm in these patterns. If this is their way of reaching out, our reply should encapsulate all that we are—all that humanity stands for." + +Looking around at his team, Alex saw resolve etched on every face. The chamber, usually somber and echoing with the quiet steps of covert agents, now felt alive with the heartbeat of discovery. They were not just professionals operating in the gloom; they were a collective standing at the helm of a momentous journey. + +"Let’s begin," he said, returned by the resolve in his voice. "Every second counts." With that, they pressed forward, setting in motion a reply to a conversation billions of years in the making. + +The dance with an unseen partner commenced, each pulse they sent out a step taken with caution and hope. And as those digital pulses journeyed through the black sea of infinity, Earth, for perhaps the first time, joined a pan-galactic dialogue that whispered secrets of the cosmos—secrets that, until now, had been lost in the silent vastness of space. + +\* + +As the team stood in the centralized nerve center of Dulce's underground fortress, the solemn atmosphere was reverent, overseeing systems that engaged with an intelligence from the void. Alex's stance was contemplative as he gazed at Jordan Hayes, who presided over the console, the tension of the moment reaching a tactile fervor. Each rhythmic tap of Hayes's fingers on the keys was a foray into uncharted symphonies of contact. + +Observing Hayes unravel the dense alien encryption, Alex spoke, a diplomatic tenor underpinning his words, "Keep focused on the syntax, dissect its nuances. We're not just decoding signals; we're translating intentions." + +Without diverting from their task, Jordan acknowledged the insight. "Indeed, if their understanding of us is as deep as we hope, we're paving the way for dialogue far beyond our current realm." + +Taylor Cruz, near the rear of the room, provided a steady oversight. "As horizonless as our prospects may seem," Taylor intoned, "remain diligent. Complacency before alien cognition could spell catastrophe." + +Sam's youthful voice resonated with optimism, "Imagine—forming a rapport with a consciousness separate from our reality; we're drafting the bridge to stars alive with minds!" + +The sentiment hung for a moment before Alex gathered his conviction. "Dialogue is our vessel. We are not just agents of enigma; we are the threads that may weave a new cosmic relationship." His words seemed to reflect off the walls, reaching beyond the room's confines, a quiet yet resilient vow. + +Their task was titanic, stepping stones laid delicately into new territories of existence. The signal, once an esoteric strand in the echo of the universe, beckoned now with a clarity rocketing the complexity of thoughts from a distant order. + +Action by action, the Paranormal Military Squad team bridged the vast interstellar distances, their expertise and empathy casting a beacon of unity into frontiers of intelligence and knowledge. Their work, a partnership struck with an unseen cosmic congregation, each pulse sent and received a line in Earth's novitiate envoi to the cosmic shores. + +\* + +Under the stark, unforgiving lights of Dulce Base's underground command center, tension buzzed harder than the banks of supercomputers that lined the walls. Agent Alex Mercer leaned over the shoulder of Jordan Hayes, whose eyes were locked onto the display screen, where an incomprehensible series of alien symbols streamed past incessantly. + +“Any progress on the decryption?” Alex's voice was steady, a controlled presence necessary in the gravity of their undertaking. + +Jordan tapped a key, pausing the flow of code, and leaned back with a deep sigh. "We've broken through another subset of the cipher. It's revealing... well, indications of a complex society, not unlike our own." His eyes met Alex's with an unspoken question that hung heavily between them—were they truly prepared for what they might find? + +Taylor Cruz strode into the room, a tightly coiled spring of ambition and authority, and peered at the screen. "Understand their society, and we may predict behavior. Remain expedient—we don't know how much time we have before the situation shifts." There was an edge of stark realism to Taylor's words, the underlying message clear: every revelation bore its own set of risks. + +Alex nodded thoughtfully, recognizing the validity of Cruz's caution. Turning to Sam, who was tinkering with a device that buzzed quietly on the table, he asked, “Sam, can your contraption get us any further?” + +Sam looked up with a smirk, a twinkle of mischief in their eye. “It’s not just any contraption, it’s potentially a direct line to their thoughts. Give me a moment more, and I'll have something for you.” + +The air ticked with electronic beeps and the rustling sound of the Paranormal Military Squad team at work. They were so close to peering into the intelligence of an alien race—a reality on the brink of dramatically expanding their understanding of the universe. + +The machinery whirred in response to Sam’s precise touches, and suddenly, the room filled with a low hum—something had changed, a signal had been successfully sent. The team held their breath as they listened. The sound that filled the room was unmistakable: a response, an alien voice filtered through the static of space and time. + +Alex exchanged a look of quiet triumph with Jordan. The breakthrough was monumental; they were no longer casting messages into the void but engaged in a dialogue—an exchange that marked the beginning of Operation: Dulce’s true unfolding. This was it, the first steps into an interstellar odyssey that demanded every ounce of their courage and wit. + +## Chapter 13 + +Dr. Jordan Hayes shuffled a stack of papers, their eyes revealing a tinge of skepticism at Taylor Cruz's authoritarian performance. _Protocols_, Jordan thought, _are just the framework, the true challenges we're about to face lie well beyond the boundaries of any protocol._ They cleared their throat before speaking, tone cautious yet firm, "Let's remember, the unknown variables exceed the known. We should remain adaptive." + +A murmur of agreement echoed from Sam Rivera, who leaned forward, lacing their fingers together as if weaving a digital framework in the air before them, "Exactly, adaptability could be the key to interpreting the signal distortions and system malfunctions. We shouldn't discount the… erratic." + +Their words hung like an electric charge in the room, challenging Taylor's position with an inherent truth. Cruz’s jaw tightened almost imperceptibly, but the agent masked it with a small nod, conceding to the omnipresent threat of the unpredictable. + +Alex glanced at Jordan, who never looked back, their gaze fixed instead on a distant point, as if envisioning the immense dark corridors they were soon to navigate in Dulce. Jordan was not one to embrace fantastical theories, but the air of cautious calculation betrayed a mind bracing for confrontation with the inexplicable, an internal battle between the evidence of their research and the calculating skepticism that kept them alive in their field. + +The meeting adjourned with no further comments, the team members quietly retreading the paths to their personal preparations. Alex, trailing slightly behind, observed the others. _The cautious reserve Jordan wears like armor doesn't fool me_, he thought, _their analytical mind sees the patterns I do. And that's worth more than protocol. That's the connection we need to survive this._ + +As the agents dispersed into the labyrinth of the facility, lost in their thoughts and preparations, the base's halogen lights flickered, a brief and unnoticed harbingers of the darkness to come. + +\* + +The gritty, wind-tossed surface of New Mexico, just above the cavernous domain of Dulce Base, offered no shelter from the burgeoning storm—the scouring sands an earthly reminder of chaos theories in motion. Far beneath, a similar maelstrom brewed within the confines of the command center, as Paranormal Military Squad's handpicked squad stood poised for potential enormities of contact. + +Ruffling through printed transmission logs, Jordan Hayes dialed the focus of their analytical prowess onto the emerging pattern of signals crisscrossing between Earth and the unfathomable. "Our responses so far have echoed their complexity, but the real divergence is yet to come," Jordan remarked stoically, the calm belying the mounting surge of adrenaline for the revelation ahead. + +Alex Mercer's figure, a silhouette sharpened by the purpose, loomed at the periphery of the monitors' sickly glow. "Indeed," he assented, "The echoes are the easy part. It will be the introduction of our own, human variable that truly begins our dialogue." + +Taylor Cruz, windowless command center notwithstanding, appeared as though they could feel the tempest above. Their eyes never left the monitors as they unspooled their hard wisdom. "For all our advances, we find ourselves deciphering the swings and nuances of an interstellar pendulum. Predict its arc, and we may preempt the gravity of its message." + +Amidst a chorus of bleeps and static, Sam Rivera's tech-clad hands moved rhythmically, their spirited approach to unruly streams of data bordering an intimate dance with entropy. "Entropy that leads to discovery," Sam mused, responding to Taylor's metaphor. "Each step into the unknown is a step away from precedent." + +Alex, drawing near Jordan, spoke again, his voice now a thread woven through the very fabric of their operations. "Let's be the cartographers of this new territory. Our initial shades of understanding could color the cosmos for generations to come." + +Their gazes fell upon a screen as the latest transmission painted its digital blooms of alien script across the black. This time, the pattern wavered in an almost imperceptible fashion, a modification that whispered of active, alien thought awaiting their next move. A hush enveloped the Paranormal Military Squad ensemble, the gravity of the pathogen undeniable. They were about to issue a reply, one poised to reshape the very concept of humanity's outreach into the cosmos. + +The New Mexico desert's secrets were infamous, its storms a mere prelude to the revelations that the team—united in purpose—would unleash upon the world. The howling winds outside found their counterpart in the newfound resolve within, as Dulce's stalwart guardians readied themselves to send forth humanity's retort to the echoes from beyond. + +\* + +The cavernous control room, deeply entrenched beneath the desolate New Mexico terrain, held the Paranormal Military Squad team in intense focus; an island of calm amid the storm of cosmic dialectics. Dr. Jordan Hayes worked methodically, every keystroke an intricate step in their tenuous cosmic ballet. Suddenly, they paused, a signal pattern resonating from the screen. "This is new; it's...inviting. It’s as if the signal is not just calling to us but weaving its intelligence through ours." + +Alex Mercer scrutinized the shift in data. "A confluence of minds, then. If we're to meet them halfway, Jordan, our reply must be both innovative and discerning," he proposed, a glimmer of profound curiosity behind his authoritative demeanor. + +Taylor Cruz, whose sharp eyes missed nothing, nodded from beside a secondary panel. "Innovative, yes, but also defensive. This interaction is a razor’s edge, and we cannot afford to bleed before the unknown," Taylor reminded them, the metaphor a stark warning of potential dangers. + +Against the backdrop of their conversation, Sam Rivera’s youthful optimism cut through the tension. "If they’re weaving through our intellect, then we've achieved something beyond first contact—we're at the genesis of interstellar symbiosis," they posited with a mix of reverence and excitement. + +Alex returned Sam’s smile with his own, tempered and faint, as he turned back to the task at hand. The magnitude of their mission extended beyond the fabric of the universe, an exploration into the threads that connected sentient beings across the vast expanse. “Let’s reply with our own woven tapestry of thought—delicate, but deliberate.” + +With renewed determination, the room came alive with an undercurrent of anticipation, its occupants charged with the potential of forging an alliance with the cosmos. Paranormal Military Squad's finest were no longer merely soldiers and scientists; they had become pioneers on the vanguard of humanity’s greatest odyssey. + +The New Mexican sands above, impassive to the change brewing underneath, stood as silent sentinels as Earth's emissaries crafted their response. A response that, composed with care and imbued with humanity's essence, reached into the void, connecting with an otherworldly intelligence that awaited their harmony in the cosmic conversation. + +## Chapter 14 + +The command center of Dulce Base lay shrouded in shadows that seemed to claw at the edges of the dimly lit array of screens and consoles. Alex Mercer, focused and unwavering, watched as Dr. Jordan Hayes parsed the latest string of alien signals—a symphony of otherworldly communications that threatened to either enlighten or confound. + +"We’re encountering a paradigm shift with every transmission," Jordan Hayes murmured, the pulsing glow of the monitor painting their features with an almost spectral hue. "This signal... it’s evolving, becoming denser, more sophisticated. As if it's growing alongside us—tandem evolution." + +The air was electric, charged with the raw potential of uncharted discovery and laden with the gravity of existential risk. Taylor Cruz, who always seemed here to mold such gravity into actionable strategies, stepped forward. "We must contain this evolution within parameters we can manage. We cannot be bystanders to an uncontrolled ascent of intelligence." + +Sam Rivera, the youngest of the cohort, worked feverishly at their station. "It's not just intelligence—these signals have rhythm, a kind of music suggesting not just evolution, but a dance! We're being invited to partake in the cosmos's ballet!" they exclaimed, a touch of youthful exuberance breaking through the solemnity. + +Alex turned, facing his team, the stoic mask of command tempered by the perceptible flicker of awe in his gaze. "Let this dance then be our dialogue. We will match their steps with prudent but daring measures—our humanity as our guide." + +In the ensuing hours, the Paranormal Military Squad team forged a rhythm of their own, their collective expertise a beacon piercing through the fog of the unknown. The signal, increasingly intricate and seemingly conscious, now demanded not just observation but participation, an interstellar pas de deux that hummed with the promise and peril of first contact. + +Before them, the communications interface flickered to life with a received transmission—a resonant hum that seemed to vibrate through the very foundations of the base. They had successfully established a back-and-forth with whatever intelligence lay hidden among the stars. Every subsequent note they struck within the cosmic ether would come to define humanity's place within the galactic community—heralds of Earth's grand entrance into a universe far less silent than once perceived. + +\* + +In the concrete belly of Dulce Base, dimly lit by the jagged dance of fluorescent lights above, Sam Rivera perched on the edge of their seat, their eager fingers fluttering across an ancient keyboard. The stark, cold room—reminiscent of a time when covert operations and unspoken dread ruled supreme—now housed a peculiar blend of old-world machinery and sleek, modern interfaces. + +Alex Mercer, standing steadfast like a bridge between the enigmatic past and the unfathomable present, watched on. In his eyes flashed the foreboding excitement of change. "Sam," he started, his voice steadfast, "the patterns in these signals, what do they tell us about the nature of our... guest?" + +Sam's eyes glimmered with something akin to thrill—or was it trepidation? "It's like we're mirroring each other, evolving together through this.. dialogue. Like it knows us, understands us, and it's… learning." + +Jordan Hayes, preoccupied at a nearby console, chimed in without lifting their gaze. "It's a dialogue that transcends mere words, Alex. We're being woven into a narrative far grander than the sum of our known sciences." + +Taylor Cruz, arms crossed, wore the heavy mantle of their skepticism comfortably. "Keep theorizing," they interjected crisply, "but remember the grounding reality of what we are part of here. This contact is a blade that cuts both ways." + +In this cavern of history, voices both human and inhuman whispered secrets to those brave enough to listen. Each member present understood the gravity that pulled at their feet; no longer were they mere mortals shackled to their terrestrial plane. The digital pings and encrypted calls resonated with an implication of a cosmic agenda that would not be ignored. + +Jordan's fingers paused, hovering in hesitation. What ripple might the next keystroke send through the fabric of known existence? It was a step into the ballet of the infinite, where the Paranormal Military Squad team played their part in the waltz of wonders with an audience of stars. + +\* + +## Chapter 15 + +In the clandestine hush of Dulce Base's subterranean command center, the Paranormal Military Squad team had become a crucible for interstellar communication. Dr. Jordan Hayes' gaze lingered on the screen as they navigated through the convolution of alien code. Each character held the potential to unravel a new dimension of contact, and with Sam Rivera's keen interjection, they were crafting humanity's inaugural cosmological discourse. + +Alex Mercer peered over Jordan's shoulder, calculating the implications of every visual nuance that cascaded across the monitor. "Look for consistency—any repeating motifs could signal a willingness to engage. We're drafting history with each exchange," he remarked, aware of the delicate balance between forging a bond and exposing vulnerabilities. + +Taylor Cruz, stoic and enigmatic, observed the interplay from the threshold, a silhouette against the machinery's luminescence. "Remember, while we seek common ground, the foundation we stand upon remains Terra firma. Caution must temper our curiosity," they stated, their voice an anchor amidst the current of excitement. + +The command center buzzed with energy, rivaled only by the tempest overhead that concealed their operation. Sam, with swift dexterity, navigated the communications relay. "Their signals resonate almost musically. It's as if they're composing a symphony, and we've been handed the baton to conduct the next movement," they offered, imbuing the scenario with a blend of scientific adventurism and poetic license. + +Amidst the whirring servers and the occasional flicker of emergency lighting, the essence of their mission transcended mere reconnaissance. They were humanity's elected envoys at the brink of a celestial alliance—or confrontation—with an audience as vast as the universe itself. + +Alex stepped back, his profile etched by the chamber's artificial day. "Then let's ensure our contribution to this symphony harmonizes with theirs. It's time for humanity's voice to rise and be counted among the cosmic ensemble." + +Under his directive, the Paranormal Military Squad team initiated their calculated response, weaving thoughts and theories into a digital overture aimed at the heart of alien intellect. As the digital stream punctured the endless night, each member of this clandestine group was acutely aware of the irrevocable step they undertook—bringing Earth into the pantheon of galactic entities designed to converse among the stars. + +\* + +Clusters of high-tech equipment bathed the Dulce underground command center in an eerie blue light. Sam Rivera's fingers flew across the keyboard, navigating an elaborate network of alien patterns. The very air seemed to pulse with the ebb and flow of cryptic communications reaching across the stars. "I've got something!" Sam's announcement tore through the focus in the room, drawing every pair of eyes to the torrent of symbols unraveling on the screen. + +With the pacing of a seasoned officer gauging the moment before action, Alex Mercer approached, his calm demeanor belying an acute awareness of the precipice on which they now stood. "Define 'something," Alex prompted, reinforcing the need for clarity amidst the extraordinary. + +"It's repeating—a sequence that’s evolved with each interaction, almost as if it's... singing," Sam theorized, the awe in their voice reflecting the potential magnitude of their discovery. + +Jordan Hayes interjected from across the console, their eyes not leaving the display as they absorbed the new data. "A cosmic vocalization, then," they mused, intrigued. "A singularity in the signal that might represent a point of reference for both parties." + +Taylor Cruz, hands clasped behind their back, regarded the unfolding scene, their own calculations etching lines of concern onto their stern visage. "Or a beacon—a homing tune, calling out to something we might not be ready to greet," Taylor offered, voicing the group's unspoken apprehension. + +Alex's eyes locked on the screen, taking in the scope of what they were attempting to interpret. Drawing a deep breath, Alex gave a slight nod. "If this is their song, then let us respond with ours. We've come this far by mirroring their signals, now let's engage in an interstellar duet, and see where the music leads us." + +With the expectation of the significant achieving a crescendo, the members of Paranormal Military Squad huddled over their equipment—sages at the threshold of a potentially world-altering communion. The strange harmonies that reverberated through the command center suggested that their interlocutors were poised, waiting, perhaps even eager, for Earth's chorus to join the symphony. + +As the team initiated their reply, weaving humanity's own intricate melody into the vast cosmic dialogue, they each felt a profound change within—an evolution of purpose. They were not just messengers or investigators; they had become co-composers in a galactic orchestra, with the universe itself as their witness and concert hall. + +With the exchange of harmonious signals crawling through the vacuum of space, the Paranormal Military Squad operatives found themselves part of a bridging of minds—a realization that out there, among the vast arrays of stars and planets, harmony was the true universal language. + +\* + +The dim glow of monitors cast an otherworldly ambiance upon Dulce Base's command center, where Paranormal Military Squad's chosen stood huddled over their instruments, suspended at history's threshold. Codes—alien in origin and nature—were being deciphered by Dr. Jordan Hayes, whose countenance bore the marks of deep concentration. + +Alex Mercer, the bedrock upon which their team's resolve was founded, leaned in with an eagerness tempered by his chain of command. "Jordan, we've invested our expertise into comprehending their patterns, but now we must also endeavor to understand their intent," he urged, his voice bearing the gravitas of their mission's potential consequences. + +At another console, Sam Rivera's youth did not betray their crucial role in the operation. With eyes alight, they mirrored the rapid computing before them. "There's emotion here—complex, profound even. This isn't just the output of a cold machine; it's...sentience," Sam whispered, nearly drowned by the mechanical chorus around them. + +Jordan, without shifting focus from their work, replied, "It's a sentience that—should we succeed here—ushers us into a new era of existence. The cadence of these signals," they tapped the screen with a flourish, "could well be the heartbeat of this new dawn." + +Taylor Cruz paused beside Mercer, their expression unreadable beneath the sterile light. "And as it beats, we must gauge whether its rhythm bodes well for us, or spells our missteps. Courage must not blind us to the hazards intrinsic to such contact," Taylor cautioned, the sentinel within them ever alert. + +Alex nodded, a gesture that carried the weight of responsibility and a silent command: proceed, but with circumspection. They were not merely decoding a message; they were interpreting a dialogue across the celestial divide. + +The room fell into a rhythm akin to a well-conducted ensemble. Each member's expertise proved a critical note in the unfolding symphony. Their actions were now more than mere research or defense; they were the tentative overtures of humankind reaching out to grasp the vast unknown. + +Textures of sound meshed with the light from countless computations, the palpable anticipation of the agents at the edge of discovery cresting with an awareness that their work would reshape future chronicles. And when the response finally came—a signal piercing the deafening silence of uncertainty—all within Dulce's confines understood: the dawn of an interstellar continuum had just begun to break. + +\* + +In the sterile hum and flickering lights of Dulce Base's command center, the Paranormal Military Squad team stood as humanity's vanguard, verging on the brim of an intergalactic abyss. Dr. Jordan Hayes, analytical edges sharp, deciphered extraterrestrial patterns that bled across screens in enigmatic cascades—a daunting mosaic of potential threats and untapped wisdom. + +Agent Alex Mercer, the embodiment of focus and a steadfast nerve, observed the unfolding digital drama with the gravitas due a historic first contact. "Let the data weave its narrative, Jordan," he instructed, a moderate undertone of exhilaration within his command. "It's encoding more than information—it's outlining civilization." + +Jordan absorbed the directive, their gaze unflinching from the screens, feeling the weight of their next move. "The nuances here are extraordinary," they acknowledged. "It paints a picture of a culture steeped in complexities we're only starting to fathom.” + +Taylor Cruz, stoicism personified yet not immune to the situation's gravity, chimed in. "Understand it, but guard against it," they cautioned, bringing a sober prudence to the room. "This culture, however advanced, remains an unknown quantity—an ocean of wonders and darkness with uncertain tides." + +Sam Rivera, a visual contrast with wide eyes and restless hands, represented the other side of the room — intrigue and optimism against the drawn swords of precaution. “Think of it,” they proposed, voice bouncing with a rebellious upbeat timbre, “as the first act of a play written in constellations. We're setting the stage for a galactic narrative.” + +Each team member, in their way, was both actor and scribe in this moment of tense pageantry. Heavy with the presence of risk, the command center had become not just a room of computers and glass panels but a theater for performing the elaborate choreography of contact. + +Bound by resolve and curiosity, they proceeded, each data entry a trembling step onto the cosmic stage. And like all cautious pioneers edging into fertile but unnavigated lands, they understood: as they mapped the heavens, they were simultaneously mapping the furthest reaches of their own existential horizons. + diff --git a/tests/fixtures/azure/settings.yml b/tests/fixtures/azure/settings.yml new file mode 100644 index 00000000..2ebe953f --- /dev/null +++ b/tests/fixtures/azure/settings.yml @@ -0,0 +1,38 @@ +claim_extraction: + enabled: true + +embeddings: + vector_store: + type: "azure_ai_search" + url: ${AZURE_AI_SEARCH_URL_ENDPOINT} + api_key: ${AZURE_AI_SEARCH_API_KEY} + collection_name: "azure_ci" + query_collection_name: "azure_ci_query" + + entity_name_description: + title_column: "name" + +input: + type: blob + file_type: text + connection_string: ${LOCAL_BLOB_STORAGE_CONNECTION_STRING} + container_name: azurefixture + base_dir: input + +cache: + type: blob + connection_string: ${BLOB_STORAGE_CONNECTION_STRING} + container_name: cicache + base_dir: cache_azure_ai + +storage: + type: blob + connection_string: ${LOCAL_BLOB_STORAGE_CONNECTION_STRING} + container_name: azurefixture + base_dir: output + +reporting: + type: blob + connection_string: ${LOCAL_BLOB_STORAGE_CONNECTION_STRING} + container_name: azurefixture + base_dir: reports diff --git a/tests/fixtures/min-csv/config.json b/tests/fixtures/min-csv/config.json new file mode 100644 index 00000000..fb15f5d4 --- /dev/null +++ b/tests/fixtures/min-csv/config.json @@ -0,0 +1,155 @@ +{ + "input_path": "./tests/fixtures/min-csv", + "input_file_type": "text", + "workflow_config": { + "create_base_text_units": { + "row_range": [ + 1, + 2000 + ], + "subworkflows": 11, + "max_runtime": 10 + }, + "create_base_extracted_entities": { + "row_range": [ + 1, + 2000 + ], + "subworkflows": 2, + "max_runtime": 300 + }, + "create_summarized_entities": { + "row_range": [ + 1, + 2000 + ], + "subworkflows": 1, + "max_runtime": 300 + }, + "create_base_entity_graph": { + "row_range": [ + 1, + 2000 + ], + "subworkflows": 2, + "max_runtime": 10 + }, + "create_final_entities": { + "row_range": [ + 1, + 2000 + ], + "nan_allowed_columns": [ + "type", + "description", + "graph_embedding" + ], + "subworkflows": 11, + "max_runtime": 300 + }, + "create_final_relationships": { + "row_range": [ + 1, + 2000 + ], + "subworkflows": 8, + "max_runtime": 100 + }, + "create_final_nodes": { + "row_range": [ + 1, + 2000 + ], + "nan_allowed_columns": [ + "entity_type", + "description", + "graph_embedding", + "community", + "level" + ], + "subworkflows": 10, + "max_runtime": 10 + }, + "create_final_communities": { + "row_range": [ + 1, + 2000 + ], + "subworkflows": 14, + "max_runtime": 10 + }, + "create_final_community_reports": { + "row_range": [ + 1, + 2000 + ], + "nan_allowed_columns": [ + "community_id", + "title", + "summary", + "full_content", + "full_content_json", + "rank", + "rank_explanation", + "findings" + ], + "subworkflows": 6, + "max_runtime": 300 + }, + "join_text_units_to_entity_ids": { + "row_range": [ + 1, + 2000 + ], + "subworkflows": 3, + "max_runtime": 10 + }, + "join_text_units_to_relationship_ids": { + "row_range": [ + 1, + 2000 + ], + "subworkflows": 4, + "max_runtime": 10 + }, + "create_final_text_units": { + "row_range": [ + 1, + 2000 + ], + "nan_allowed_columns": [ + "relationship_ids", + "entity_ids" + ], + "subworkflows": 6, + "max_runtime": 100 + }, + "create_base_documents": { + "row_range": [ + 1, + 2000 + ], + "subworkflows": 8, + "max_runtime": 10 + }, + "create_final_documents": { + "row_range": [ + 1, + 2000 + ], + "subworkflows": 1, + "max_runtime": 100 + } + }, + "query_config": [ + { + "query": "Who is Agent Alex Mercer and what are his goals?", + "method": "local" + }, + { + "query": "What is the major conflict in this story and who are the protagonist and antagonist?", + "method": "global" + } + ], + "slow": false +} \ No newline at end of file diff --git a/tests/fixtures/min-csv/input/ABOUT.md b/tests/fixtures/min-csv/input/ABOUT.md new file mode 100644 index 00000000..42c31610 --- /dev/null +++ b/tests/fixtures/min-csv/input/ABOUT.md @@ -0,0 +1,3 @@ +# About + +This document (Operation Dulce) in an AI-generated science fiction novella, included here for the purposes of integration testing. \ No newline at end of file diff --git a/tests/fixtures/min-csv/input/dulce.csv b/tests/fixtures/min-csv/input/dulce.csv new file mode 100644 index 00000000..227b406f --- /dev/null +++ b/tests/fixtures/min-csv/input/dulce.csv @@ -0,0 +1,959 @@ +text +"## Chapter 1 + +The thrumming of monitors cast a stark contrast to the rigid silence enveloping the group. Agent Alex Mercer, unfailingly determined on paper, seemed dwarfed by the enormity of the sterile briefing room where Paranormal Military Squad's elite convened. With dulled eyes, he scanned the projectors outlining their impending odyssey into Operation: Dulce. + +“I assume, Agent Mercer, you’re not having second thoughts?” It was Taylor Cruz’s voice, laced with an edge that demanded attention. + +Alex flickered a strained smile, still thumbing his folder's corner. ""Of course not, Agent Cruz. Just trying to soak in all the details."" The compliance in his tone was unsettling, even to himself. + +Jordan Hayes, perched on the opposite side of the table, narrowed their eyes but offered a supportive nod. ""Details are imperative. We’ll need your clear-headedness down there, Mercer."" + +A comfortable silence, the kind that threaded between veterans of shared secrets, lingered briefly before Sam Rivera, never one to submit to quiet, added, ""I’ve combed through the last transmission logs. If anyone can make sense of the anomalies, it’s going to be the two of you."" + +Taylor snorted dismissively. “Focus, people. We have protocols for a reason. Speculation is counter-productive.” The words 'counter-productive' seemed to hang in the air, a tacit reprimand directed at Alex. + +Feeling the weight of his compliance conflicting with his natural inclination to leave no stone unturned, Alex straightened in his seat. ""I agree, Agent Cruz. Protocol is paramount,"" he said, meeting Taylor's steely gaze. It was an affirmation, but beneath it lay layers of unspoken complexities that would undoubtedly unwind with time. + +Alex's submission, though seemingly complete, didn't escape Jordan, who tilted their head ever so slightly, their eyes revealing a spark of understanding. They knew well enough the struggle of aligning personal convictions with overarching missions. As everyone began to collect their binders and prepare for departure, a quiet resolve took form within Alex, galvanized by the groundwork laid by their interactions. He may have spoken in compliance, but his determination had merely taken a subtler form — one that wouldn't surrender so easily to the forthcoming shadows. + +\* + +Dr. Jordan Hayes shuffled a stack of papers, their eyes revealing a tinge of skepticism at Taylor Cruz's authoritarian performance. _Protocols_, Jordan thought, _are just the framework, the true challenges we're about to face lie well beyond the boundaries of any protocol._ They cleared their throat before speaking, tone cautious yet firm, ""Let's remember, the unknown variables exceed the known. We should remain adaptive."" + +A murmur of agreement echoed from Sam Rivera, who leaned forward, lacing their fingers together as if weaving a digital framework in the air before them, ""Exactly, adaptability could be the key to interpreting the signal distortions and system malfunctions. We shouldn't discount the… erratic."" + +Their words hung like an electric charge in the room, challenging Taylor's position with an inherent truth. Cruz’s jaw tightened almost imperceptibly, but the agent masked it with a small nod, conceding to the omnipresent threat of the unpredictable. + +Alex glanced at Jordan, who never looked back, their gaze fixed instead on a distant point, as if envisioning the immense dark corridors they were soon to navigate in Dulce. Jordan was not one to embrace fantastical theories, but the air of cautious calculation betrayed a mind bracing for confrontation with the inexplicable, an internal battle between the evidence of their research and the calculating skepticism that kept them alive in their field. + +The meeting adjourned with no further comments, the team members quietly retreading the paths to their personal preparations. Alex, trailing slightly behind, observed the others. _The cautious reserve Jordan wears like armor doesn't fool me_, he thought, _their analytical mind sees the patterns I do. And that's worth more than protocol. That's the connection we need to survive this._ + +As the agents dispersed into the labyrinth of the facility, lost in their thoughts and preparations, the base's halogen lights flickered, a brief and unnoticed harbingers of the darkness to come. + +\* + +A deserted corridor inside the facility stretched before Taylor Cruz, each footstep rhythmic and precise. Cruz, ambitious and meticulous, eyed the troops passing by with a sardonic tilt of the lips. Obedience—it was as much a tool as any weapon in the arsenal, and Cruz wielded it masterfully. To them, it was another step toward unfettered power within the dark bowels of the military complex. + +Inside a secluded equipment bay, Cruz began checking over gear with mechanical efficiency. They traced fingers over the sleek surface of an encrypted radio transmitter. ""If protocols are maintained,"" said Cruz aloud, rehearsing the speech for their subordinates, ""not only will we re-establish a line of communication with Dulce, but we shall also illuminate the darkest secrets it conceals."" + +Agent Hayes appeared in the doorway, arms crossed and a knowing glint in their eyes. ""You do understand,"" Jordan began, the words measured and probing, ""that once we're in the depths, rank gives way to survival instincts. It's not about commands—it's empowerment through trust."" + +The sentiment snagged on Cruz's armor of confidence, probing at the insecurities festering beneath. Taylor offered a brief nod, perhaps too curt, but enough to acknowledge Jordan's point without yielding ground. ""Trust,"" Cruz mused, ""or the illusion thereof, is just as potent."" + +Silence claimed the space between them, steeped in the reality of the unknown dangers lurking in the shadows of the mission. Cruz diligently returned to the equipment, the act a clear dismissal. + +Not much later, Cruz stood alone, the hollow echo of the bay a stark reminder of the isolation that power often wrought. With each checked box, their resolve steeled further, a silent vow to usher their team through the abyss—whatever it might hold—and emerge enshrined in the respect they so deeply craved." +"## Chapter 2 + +Sam Rivera sat alone in a cramped office, the hum of a dozen servers murmuring a digital lullaby in the background. Surrounded by the glow of multiple screens, their eyes danced across lines of code and intercepted comm signals from Dulce — a kaleidoscope of data that their curious and isolated mind hungered to decrypt. + +To an outsider, it might have looked like obsession, this fervent quest for answers. But to Sam, it was a dance — a give and take with the mysteries of the universe. Their fingers paused over the keyboard as they leaned back in the chair, whispering to thin air, ""What secrets are you hiding from us?"" + +The stillness of the room broke with the unexpected arrival of Alex Mercer, whose encroaching shadow loomed over Sam's workspace. The cybersecurity expert craned their neck upwards, met by the ever-so-slight furrow in Alex's brow. ""Got a minute, Rivera?"" + +""Always,"" Sam said, a smile surfacing as they swiveled to face their mentor more directly. _He has that look — like something's not sitting right with him,_ they noted inwardly. + +Alex hesitated, weighing his words carefully. ""Our tech is top-tier, but the silence from Dulce... It's not just technology that will see us through, it's intuition and... trust."" His gaze pierced through the digital haze, trying to instill something more profound than advice. + +Sam regarded Alex for a moment, the sincerity in his voice resonating with their own unspoken desire to prove their worth. ""Intuition,"" they mirrored thoughtfully. ""I guess sometimes the numbers don't have all the answers."" + +Their shared silence held a newfound understanding, a recognition that between the ones and zeros, it was their combined human insights that might prevail against the impossible. As Alex turned to leave, Sam's eyes drifted back to the screens, now seeing them not as barriers to isolate behind, but as windows into the vast and enigmatic challenge that awaited their team. + +Outside the office, the persistent buzz of activity in the facility belied the unease that gripped its inhabitants. A restlessness that nibbled on the edges of reality, as though forewarning of the threshold they were soon to cross — from the known into the realm of cosmic secrets and silent threats. + +\* + +Shadows played against the walls of the cramped underground meeting room, where Alex Mercer stood gazing at the concealed elevator that would deliver them into the bowels of Dulce base. The air was thick, every breath laced with the weight of impending confrontation, the kind one feels when stepping into a legend. Though armed with an array of advanced weaponry and gear, there was an unshakeable sense that they were delving into a conflict where the physical might be of little consequence. + +""I know what you're thinking,"" Jordan Hayes remarked, approaching Mercer. Their voice was low, a blend of confidence and hidden apprehension. ""This feels like more than a rescue or reconnaissance mission, doesn't it?"" + +Alex turned, his features a mask of uneasy resolve. ""It's like we're being pulled into someone else’s game. Not just observers or participants, but... pawns."" + +Jordan gave a short nod, their analytical mind colliding with the uncertain dynamics of this operation. ""I've felt that way since the briefing. Like there's a layer we’re not seeing. And yet, we have no choice but to play along."" Their eyes locked with Alex's, silently exchanging a vow to remain vigilant. + +""You two need to cut the philosophical chatter. We have positions to secure,"" Taylor Cruz interjected sharply, stepping into their exchange. The authority in Taylor's voice brooked no argument; it was their way of pulling everyone back to the now. + +Alex's response was measured, more assertive than moments ago. ""Acknowledged, Agent Cruz,"" he replied, his voice steadier, mirroring the transformation brewing within. He gripped his rifle with a newfound firmness. ""Let's proceed."" + +As they congregated at the elevator, a tension palpable, Sam Rivera piped in with a tone of balanced levity, ""Hope everyone’s brought their good luck charms. Something tells me we’re going to need all the help we can get."" + +Their laughter served as a brief respite from the gravity of their mission, a shared moment that reinforced their common humanity amidst the unknowable. Then, as one, they stepped into the elevator. The doors closed with a silent hiss, and they descended into the darkness together, aware that when they returned, if they returned, none of them would be the same. + +\* + +The sense of foreboding hung heavier than the darkness that the artificial lights of the elevator shaft failed to fully penetrate. The team was descending into the earth, carrying with them not only the weight of their equipment but also the silent pressure of the invisible war they were about to fight—a war that seemed to edge away from physicality and into the unnervingly psychological. + +As they descended, Dr. Jordan Hayes couldn't help but muse over the layers of data that could wait below, now almost longing for the comfort of empirical evidence. _To think that this reluctance to accept other possibilities may have been my biggest blind spot,_ Jordan contemplated, feeling the hard shell of skepticism begin to crack. + +Alex caught Jordan's reflective gaze and leaned in, his voice barely a murmur over the hum of the elevator. ""Once we're down there, keep that analytical edge sharp. You see through the mazes of the unexplained better than anyone."" + +The compliment was unexpected and weighed differently than praise from others. This was an acknowledgment from someone who stood on the front lines of the unknown with eyes wide open. ""Thank you, Alex,"" Jordan said, the words carrying a trace of newfound assertiveness. ""You can count on me."" + +The exchange was cut short by a shudder that ran through the elevator, subtle, but enough to make them instinctively hold their breaths. It wasn't the mechanical stutter of old gears but a vibration that seemed to emanate from the very walls of the shaft—a whisper of something that defied natural explanation. + +Cruz was the first to react, all business despite the shadow that crossed their expression. ""Systems check. Now,"" they barked out, masking the moment of disquiet with swift command. + +Every agent checked their gear, sending confirmation signals through their comms, creating a chorus of electronic beeps that promised readiness. But there was an unspoken question among them: was their technology, their weaponry, their protocols sufficient for what awaited them or merely a fragile comfort? + +Against the gravity of the silence that was once again closing in, Sam's voice crackled through, only half-jest. ""I'd laugh if we run into Martians playing poker down there—just to lighten the mood, you know?"" + +Despite—or perhaps because of—the oddity of the moment, this elicited a round of chuckles, an audible release of tension that ran counterpoint to the undercurrent of anxiety coursing through the team. + +As the elevator came to a halting, eerie calm at the sub-level, the group stepped off, finding themselves at the threshold of Dulce's mysterious halls. They stood in a tight pack, sharing a cautious glance before fanning out into the unknown, each one acutely aware that the truth was inevitably intertwined with danger. + +Into the depths of Dulce, the team advanced, their silence now a shared testament to the camaraderie born of facing the abyss together—and the steel resolve to uncover whatever horrors lay hidden in its shadows. + +\* + +The weight of the thick metal door closing behind them reverberated through the concrete hallway, marking the final threshold between the familiar world above and the strangeness that lay beneath. Dulce base, a name that had been whispered in the wind-blown deserts above and in the shadowed corners of conspiracy forums, now a tangible cold reality that they could touch — and that touched them back with a chill. + +Like lambs led to an altar of alien deities, so did Agents Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera proceed, their movements measured, their senses heightened. The air was still, almost respectful of the gravity of their presence. Their torch beams sliced through the darkness, uncovering steel doors with warnings that spoke of top secrets and mortal dangers. + +Taylor Cruz, stepping firmly into the role of de facto leader, set a brisk pace. ""Eyes sharp, people. Comms check, every thirty seconds,"" Taylor ordered, their voice echoing slightly before being swallowed by the surrounding silence. + +Sam, fiddling with a handheld device aimed at detecting electronic anomalies, offered a murmured ""Copy that,"" their usual buoyancy dimmed by the oppressive atmosphere. + +It was Jordan Hayes who paused at an innocuous looking panel, nondescript amongst the gauntlet of secured doorways. ""Mercer, Rivera, come see this,"" Jordan’s voice was marked with a rare hint of urgency. + +Alex joined Jordan's side, examining the panel which, at a mere glance, seemed just another part of the base's infrastructure. Yet, to the trained eye, it appeared out of place—a facade. + +Jordan explained their reasoning as Sam approached, instinctively understanding the significance of what lay beneath, ""This panel is a recent addition — covering something they didn't want found."" + +Before Alex could respond, the soft whir of an approaching drone cut through their muffled exchange. Taylor had looped back upon hearing the commotion. ""Explanations later. We can't afford to attract..."" Cruz’s voice trailed off as the small airborne device came into view, its sensors locked onto the group. + +Sam was the first to react, their tech-savvy mind already steps ahead. ""I've got this,"" they declared, fingers flying over the controls of their own gadgetry to ward off the impending threat. + +The drone lingered, its scan seeming more curious than hostile. But within moments, courtesy of Sam's interference, the little sentinel drifted away, retreating into the shadows as if accepting a silent truce. The crew exhaled, a moment of collective relief palpable in the air. + +Cruz squared their shoulders, clearly ruffled but not conceding any ground. ""Move out,"" they directed, a hint more forceful than before. ""And Rivera, keep that trick handy."" + +The team pressed onward, the quiet now filled with the soft beeps of regular comms checks, their pace undeterred by the confrontation. Yet, every agent held a renewed sense of wariness, their trust in one another deepening with the knowledge that the base—its technology, its secrets—was alive in a way they hadn't fully anticipated. + +As they converged upon a central hub, the imposing doors to the mainframe room stood ajar — an invitation or a trap, neither option comforting. Without a word, they fortified their resolve and stepped through the threshold, where the dim glow of operational LED lights and the distant hum of machinery hinted at Dulce’s still-beating heart. + +Solemnly, yet unmistakably together, they moved deeper into the heart of the enigma, ready to unmask the lifeforce of Dulce base or confront whatever existential threat lay in wait. It was in that unwavering march towards the unknown that their destinies were forever cemented to the legacy of Operation: Dulce." +"## Chapter 3 + +The thrumming of monitors cast a stark contrast to the rigid silence enveloping the group. Agent Alex Mercer, unfailingly determined on paper, seemed dwarfed by the enormity of the sterile briefing room where Paranormal Military Squad's elite convened. With dulled eyes, he scanned the projectors outlining their impending odyssey into Operation: Dulce. + +\* + +The cooling vents hummed in a monotonous drone, but it was the crackle of the comms system coming to life that cut through the lab’s tension. Dr. Jordan Hayes hovered over a table arrayed with alien technology, their fingers delicately probing the enigmatic circuitry retrieved from the crash site. Agent Alex Mercer watched, admiration blooming in silent solidarity for Jordan's deft touch and unspoken drive. + +Jordan, always composed, only allowed the faintest furrow of concentration to mar their brow. ""What we understand about physics..."" they muttered, trailing off as they realigned a translucent component. The device emitted a low pulse, causing Jordan to still. ""Could be fundamentally changed by this."" + +A calculated risk—that's what this was. And for a person of science, a gamble was worth the potential paradigm shift. + +""I’ve been thinking,"" Alex started, his eyes still fixed on the immediately tangible mystery before them. ""About what’s at stake here. Not the mission parameters, but what this means for us—humanity."" + +Jordan glanced up, meeting his eyes just long enough to convey the shared enormity of their situation; the career-defining glory and existential dread entwined. ""The quest for understanding always comes at a price. We're standing on the precipice of knowledge that could either elevate us or condemn us."" + +The charged air between them spiked as Taylor Cruz’s brusque tones sliced through their reverie. ""Hayes, Mercer, this isn't philosophy hour. Focus on the task. We need actionable intel, not daydreams."" + +With a sound of restrained acknowledgment, Jordan returned their gaze to the device, while Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order. + +Then Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..."" Taylor said, their voice quieter, ""It could change the game for us. For all of us.” + +The underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce. + +It was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths and for different reasons. Yet, beneath the veneer of duty, the enticement of the vast unknown pulled them inexorably together, coalescing their distinct desires into a shared pulse of anticipation. + +Marshaled back to the moment by the blink of lights and whir of machinery, they refocused their efforts, each movement sharpened by the knowledge that beyond understanding the unearthly artifacts, they might be piecing together the future of their species. + +\* + +Amidst the sterility of the briefing room, the liminal space between the facts laid out and the hidden truths, sat Sam Rivera, his demeanor an artful balance of focus and a casual disguise of his razor-sharp talent with technology. Across from him, Alex Mercer lingered in thought, the mental cogs turning as each file on Dulce stirred more than curiosity—it beckoned to a past both honored and burdensome. + +""You've been quiet, Sam,"" Alex noted, catching the younger man's contemplative gaze. ""Your take on these signal inconsistencies?"" + +There was a respect in Alex's tone, though a respectful distance remained—a gulf of experience and a hint of protective mentorship that stood between them. Sam nodded, recognizing the space afforded to him, and he couldn't help but feel the weight of expectation pressing upon his shoulders. It wasn't just the mission that was immense, it was the trust being placed in him. + +""The patterns are... off,"" Sam admitted, hesitant but driven. ""If I'm right, what we're looking at isn't random—it's a structured anomaly. We need to be ready for anything."" + +Alex's eyes brightened with a subtle approval that crossed the distance like a silent nod. ""Good. Keen eyes will keep us ahead—or at least not blindsided,"" he said, affirming the belief that inscribed Sam's role as more than the tech personnel—he was to be a guiding intellect in the heart of uncertainty. + +Their exchange was cut short by Taylor Cruz's abrupt arrival, his gait brimming with a robust confidence that veiled the sharp undercurrents of his striving nature. ""Time to gear up. Dulce waits for no one,"" Taylor announced, his voice carrying an iron resolve that knew the costs of hesitation—though whether the cost was calculated in human or career terms was an ambiguity he wore like a badge of honor. + +As Sam and Alex nodded in unison, the icy chasm of hierarchy and cryptic protocols seemed momentarily to bridge over with an understanding—this mission was convergence, a nexus point that would challenge each of their motives and strength. + +They filed out of the briefing room, their footsteps synchronized, a rhythm that spoke volumes of the unknown cadence they would soon march to within the base's veins. For Alex Mercer, the link with Sam Rivera, though distant, was now poised with a mutuality ready to be tested; for Taylor Cruz, the initiative pulsed like a heartbeat, anticipation thinly veiled behind a mask of duty. + +In the midst of the descent, they were each alone yet irrevocably joined, stepping closer towards the volatile embrace of Operation: Dulce." +" +## Chapter 4 + +The corridors of the Dulce military base were as silent as a tomb and twice as chilling. Alex Mercer walked with a surety that belied his bubbling undercurrents of doubt. The briefing had been definitive, sturdy pillars of facts and protocols, yet as he ventured deeper, the ominous atmosphere gnawed at him—a stark reminder of how much remained unknown. + +Jordan Hayes trailed a few steps behind, their detached exterior breaking for a moment as they caught up to Alex. ""What's on your mind?"" Jordan asked, their astuteness cutting through the unspoken tension. + +Alex glanced back at them. This place was a puzzle, a treacherous labyrinth where the walls whispered secrets, and among them, he sensed a call to question, to challenge the narrative they'd been sold. ""The silence here... It's almost as if the base is waiting for something—or someone."" + +""Just stay sharp, Mercer,"" Jordan cautioned, yet their eyes lingered on the quietude around them, conceiving the same shadow of doubt that unsettled Alex. + +Before they could delve into further discussion, the distinctive click of a safety catch echoed in the hollow space. Both agents turned to find Taylor Cruz standing resolute, primed for combat. Taylor's gaze was scrutinizing and cold, a stark contrast to the growing unease that smoldered silently amongst the rest. + +""Chatter is a liability,"" Taylor snapped, with a commanding flair that bordered on tyrannical. ""We move forward, eyes open, mouths shut."" + +Alex felt the tight grip of compliance strangle his gut, a lesson learned under the hard tutelage of rank and order. But here, in the bowels of Dulce, those instincts began to wane, the imperative to adhere now conflicting with the pressing urgency to confront the shadows they were enmeshed in. + +Then, unexpectedly, the lights flickered, a power fluctuation—or a sign? Alex's hand instinctively went to his sidearm, his mindset shifting from soldier to skeptic. The base, with its unyielding coldness, had just given them their first nudge into the realm of the speculative, an invitation to peel back the veneer of reality. + +""We should consider all possibilities,"" Alex murmured, more to himself than the others, his voice a barely audible breath against the sterile air of the complex. + +Taylor's posture stiffened at the challenge, yet their response was uncharacteristically reserved, notable in its lack of rebuke. ""Agreed. For now, keep moving. But stay vigilant."" + +A surprise—an echo of agreement from the last person Alex expected it from. And there it was, the glimpse of a wrinkle in the unyielding fabric of command, a hint that perhaps they were all starting to sense the strangeness that permeated this place. + +Progressing with determined steps, the trio moved deeper, silently acknowledging the evolution of their predicament. It was a small yet transformative concession to the unknown forces at play, an acknowledgment from each agent that, despite their disparate goals and ideals, the true nature of the Dulce base was an enigma that would forge new paths through their convictions. + +As they reached the central communications hub, the truth that awaited them lurked in the shadows, its eyes unseen but felt by all. The walls didn't just whisper now; they spoke in tones only the brave—or the foolish—would dare to listen to. + +\* + +The subterranean silence of Dulce was an oppressive entity of its own, wrapping the team in a cloak of uneasiness as they pressed on through the dimly lit corridor. Jordan Hayes found themselves contemplating the ramifications of each step taken into this suspended world, where the sterile air seemed to mock the gravity of their predicament. The closer they got to the communication hub, the more Jordan's mind wandered toward the realm of the inexplicable. + +Beside Jordan, Alex Mercer moved forward with deliberation, his gaze scanning the heavy utility doors they passed—one of which was partially ajar, beckoning them with its darkness. ""After you, Dr. Hayes,"" Alex said, gesturing toward the mysterious opening. A hint of shared understanding passed between them; knowledge was the guiding star of this mission as much as confrontation or recovery. + +Jordan peered inside, the beam from their flashlight slicing through the obscurity. The room beyond was a chaotic cascade of papers, overturned furniture, and the particular kind of disorder born from hasty evacuation—or something far more sinister. + +""It's like they vanished in the middle of something urgent,"" Alex murmured, his voice tight with a mix of concern and anticipation. He began to sift through the scattered reports, each page a potential clue to the enigmatic silence that shrouded Dulce. + +Behind them, Taylor watched with a disciplined patience, their authority the foundation upon which the operation was built. Their voice cut into the stillness, a reminder of their presence, ""Time is not our ally here."" + +Drawing back from momentary distraction, Jordan acknowledged the wisdom in Taylor's words, yet could feel the shift in their stance—from skeptical, reserved analyst, to a proactive agent within the narrative. ""You're right; these documents may hold critical insights. Let's collect what we can and analyze them properly."" + +From the darkened hollows of the room, shadows seemed to cast subtle judgment as Alex and Jordan worked together with heightened urgency. Taylor, for once, didn't intervene but instead surveyed the entrance, their mind anticipating the unknown variables that lay ahead. + +Unexpectedly, a soft hiss emanated from a neglected terminal on the desk. Jordan's head snapped up, their heart rate accelerating at the potential ramifications. Without a word, they moved to the machine, hands driven by the newfound conviction that knowledge was more than power—it was survival. + +As Jordan began to extract what data they could from the terminal, the first comprehensible communication from the depths of Dulce in far too long crackled through: an automated distress marker, looping endlessly without further context. It was a revelation, one that reverberated through the group, confirming their fears and igniting an even greater need to press on. + +Watching Jordan's dogged determination, Alex witnessed the minor transformation in his colleague unfold—a shift from doubt to action, a sliver of belief in the possibilities beyond their rational understanding. This forge of resolve amidst the alien echoes of Dulce not only bonded them closer as a team but compelled them forward with a sharpened edge of responsibility to the truth, wherever it would lead. + +As they collected their findings and regrouped, the base around them imperceptibly changed, the air charged with the vibration of secrets poised on the brink of revelation. And in that charged silence, the group moved on, each now carrying pieces of a puzzle that would soon converge into a picture of galactic significance. + +\* + +In the chill of the cramped server room, the hum of machinery was the backbone to a symphony of data streams coursing through the air. Dr. Jordan Hayes, nerves alight with the mission's mounting unknowns, patched into the last known coordinates of the unsent distress broadcast they had uncovered. They were so close to the core now – to the truth behind the blackout – it was almost tangible. + +Beside them stood Agent Alex Mercer, ever the soldier, yet with eyes that betrayed an intellect craving to understand the murk beneath the surface. ""Any progress, Dr. Hayes?"" Alex queried, his voice betraying a subtle urgency. + +""Getting there,"" Jordan replied, fingers dancing across the keyboard. ""Whoever sent this was cut off mid-transmission. It's as if Dulce itself swallowed the message whole."" + +Taylor Cruz closed in, their frame casting a long shadow over the duo, evoking an almost palpable wall between them and the forward momentum of their mission. ""Time is against us,"" Taylor intoned, more statement than threat. ""What we uncover here determines our next course of action."" + +Alex acknowledged Taylor with a brisk nod, his stance firm. Yet inwardly, the tightening grip he felt from Taylor's words couldn't throttle the swell of his own investigative instinct. His soldier's obedience had begun to war with the advocate's zeal for unveiling the dark heart of Dulce's secrets. + +And then, the unexpected occurred. The screens flashed in unison, spilling a discordant stream of symbols and images that defied immediate analysis. Jordan's breath caught – this was the response they had been fishing for, an alien communication protocol resonating just at the edge of human comprehension. + +Each member of the team felt it: a shift in the room’s very atmosphere, like a veil being drawn from their perception. Alex and Jordan stood still, absorbed in the bewilderment of contact, while Taylor, despite their authority, hesitated – a minor betrayal that unease was creeping into even their disciplined heart. + +""Thoughts, Rivera?"" Taylor rallied, seeking the counsel of Sam Rivera, whose eyes were wide with exhilaration. + +Sam stepped forward, breaking the spell of stillness. ""It's like nothing I've ever seen before, but I think I can bridge our systems to communicate,"" they declared, a wisp of optimism braiding their voice. They set about adapting their gear to transmute the foreign signals into something the team could dissect, their actions a testament to the mentorship and belief instilled in them by Mercer and the team. + +Taylor observed them, a cold calculation behind their facade, as they weighed the worth of this anomaly. It was a crossroad that potentially led to either monumental breakthrough or unprecedented catastrophe. ""Once you've established a line, document everything. We can't afford to miss any detail,"" Taylor ordered, the words sharper than intended. + +The connection was made, and with trembling anticipation, the team listened as the first garbled outputs began to emerge, their very essence promising insights that could alter the course of history. It was an enigmatic dance with the unknown, the pulse of Dulce no longer just a place, but a herald to an alien register the team had yet to decipher. + +Together, they stood at the precipice of understanding, where the faint glow of their monitors cast more than just light – it cast the shadow of burgeoning transformation. It was in this moment, in the grasp of an extraterrestrial tongue, that the team, bound by a hunger for knowledge and the raw edge of survival, found their mission reframed from a search for answers to the articulation of a question humankind had yet to fully ask. + +Silent in their commune with the inexplicable frequency, they realized they were not merely investigators; they had become liaisons on behalf of Earth, interpreters of a cosmic message that could redefine their very existence. The implications loomed large, but now, they would not face them alone – they would face them as a united front, wrought together by the very mysteries that once drove them apart." +"## Chapter 5 + +Dr. Jordan Hayes clutched the edge of the briefing room table, their fingers white-knuckled against the laminate surface, as an array of constellations rotated on the projector—charts and graphs bleeding across the stars. In the dim room, nebulas and dark matter seemed within arm's reach, tangible yet unfathomable. + +Sam Rivera leaned back against the wall, arms crossed, gaze darting between the swirling cosmos and the faces of their companions. A taut line of concentration etched their young features, a mingling of fervent curiosity with the nascent understanding of the high stakes for which they played. + +Jordan's voice broke the profound silence. ""The patterns in the signal disruptions sync with none other than zenithal star alignments. It's as if... as if these 'meet and greets' were scheduled, predestined by celestial mechanics."" + +The statement hung heavy, daring the occupants of the room to unravel its implications. Alex Mercer, his prior military resolve momentarily suspended, absorbed the hypothesis with a visible hunger. ""It's like we're adhering to an appointment we never knew we had,"" he murmured, his heart a drumbeat in his chest. + +Taylor Cruz snorted—a sound that clattered against the high concepts like a tumbledown shack in a futurist cityscape. Folding their arms, they glanced between the agents, their apprehension clad in the contempt of practicality. ""What we need are facts, not mystic conjecture."" + +Alex pivoted on his heel, facing Taylor squarely, and his voice found its edge of steel. ""This isn't mysticism, Cruz. It's a hypothesis based on observed phenomena as unpredictable as the place we're standing in."" + +Taylor's gaze never wavered, yet the slight twitch at the corner of their mouth belied their taut composure. ""If there's a semblance of truth to it, then it's critical intel. But remember, we're not astrologers—we're soldiers and scientists."" + +Jordan met Taylor’s gaze with a curt nod, accepting the caution even as the crucible of their intellect smoldered with the fervor of cosmic discovery. Their eyes flicked to Sam, whose steady presence and ready tech affirmed a burgeoning dynamic—the makings of a sentinel, standing guard over the threshold of human understanding and cosmic reality. + +With the projector casting pallid light over their features, each agent became a silhouette of purpose, shadows pillared against the backdrop of an endless universe. The story they were embroiled in would soon demand they plunge into darkness to retrieve the light of knowledge—a light that could very well redraw the shape of their world. + +They left the briefing room with a shared silence, each pondering the vast weave of celestial intent and terrestrial response, sensing that the galactic appointment to which they'd unwittingly RSVP’d was more insistent—and more threatening—than any operation they’d faced before. + +\* + +As the Paranormal Military Squad team convened in the heart of the Dulce military complex, an air of bristling expectation clung to the walls of the underground sanctum. Alex Mercer’s brow furrowed while watching his companions—Jordan Hayes, diligently setting up their makeshift lab station, and Sam Rivera meticulously checking the communication relays they had restored. Taylor Cruz observed with hawk-like focus, yet to betray the strain that their command posed on them. + +The gravity of the mission had shifted, deepened; each member of the team felt its pull, tethered to the understanding that they were now part of a larger narrative—a cosmic play with Earth as a stage and the human race unwitting actors. + +Jordan paused, a tension creeping across their shoulders as they aligned the satellite data with the alien message that had been decoded. ""The instructions in this message,"" Jordan started, the timbre of their voice betraying their usual composure. ""They're coordinates and... a warning."" + +Sam leaned in, their eyes widening behind the glow of their laptop screen. ""A warning? Like, ‘stay away from’, or ‘beware of’...?"" Their words trailed off, uncertainty a new companion in their lexicon. + +Alex exhaled slowly, his mind racing to connect the dots. ""It doesn't matter which,"" he said, decisive yet contemplative. ""What matters is we understand intent. Are we being warned out of concern, or are we stumbling upon a threat?"" + +Cruz’s iron-clad facade momentarily cracked, a fleeting glimpse of vulnerability flashing through their eyes. ""We need to know if this entails additional risk to the operation,"" they said, directing their gaze specifically at Alex. ""Mercer, I rely on you to keep the team grounded. No one goes off-course."" + +Their reminder seemed both a command and a plea—rooted in an understanding that each member of the team now faced the duality of their roles, protectors of earthly secrets and heralds of potentially devastating revelations. + +Sam's fingers stilled mid-type, their task forgotten as they absorbed the weight of the unfolding reality. ""We're the first line of defense... or detection,"" they mused half to themselves, a growing sense of agency within the larger play they were cast into. + +Jordan returned to the data, more resolute in their actions. The warning, whether cautionary or dire, was a beacon they no longer could ignore; its light casting aside shadows of doubt and igniting a collective purpose within the team. + +Alex watched Jordan and Sam, feeling a brotherhood in their shared quest. As Cruz paced, poised on the cusp of decisions that would mark their career and perhaps the fate of many, Alex knew the narrative had changed. They were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve. + +Tension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril. + +Their connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer’s latter instincts gained precedence— the team’s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly hierarchies but by the pulsing symphony of the universe itself. + +\* + +The desert night loomed eerily still as echoes of hidden activity reverberated deep beneath the bleak sands of New Mexico. Diverting his gaze from the array of sensors before him, Jordan Hayes allowed a rare breath, deep and anxious. Turning to Alex Mercer's focused silhouette, the nocturnal landscape illuminated softly by makeshift floodlights, Jordan felt the syncopated tempo of apprehension and exhilaration jockey for primacy within. + +""The closer we get to unlocking these messages, the more I feel like we're peeling back layers of reality itself,"" Jordan confided, eyes not leaving the monitors that presented a constellation of data points. + +""Yes,"" Alex replied, his voice steady as he considered the implications of their discovery. ""And we have to be ready for whatever we find beneath those layers. Whether it's a breakthrough or a Pandora's Box."" + +Silence settled between them, broken only by the occasional buzz of communications equipment attempting to bridge terrestrial and extraterrestrial intelligences. Tense moments drifted by, laden with the expectant weight of near breakthrough, when a soft chime signaled an incoming transmission -- a rare sound that set every agent on high alert. + +Absent was the voice of Washington or Paranormal Military Squad command. Instead, a rhythmic series of pulses and tones filled the air, deliberately patterned, unmistakably non-human. + +Sam Rivera adjusted the sensitivity of the decoding equipment, their hands shaking with anticipation as much as focus. ""I have it!"" they announced, the signal transforming under their expertise into a sequence of visual symbols on the screen before them. + +Their shared excitement was palpable, a kinetic force resonating between the team members as they crowded around the display. + +""What does it say?"" Taylor Cruz demanded, the urgency in his tone scraping against the newfound wonderment. + +Interpreting the alien syntax required not only decoding but intuition and empathy. The words that emerged upon the screen were at once coherent and enigmatic: ""*Voyage. Convergence. Peril.*"" + +The stark simplicity of the message struck them collectively, a chill breeze wafting through their resolve. + +Alex stepped forward, piecing together the cryptic communication with a growing sense of obligation. ""It’s a call to action,"" he deduced, ""or possibly a summons."" + +Jordan's gaze met Alex’s, both understanding that this was no longer an investigation or mere extraction of hidden truths. This was humanity's unwitting enlistment into a galactic dialogue that defied boundaries of nation, creed, or protocol. + +Sam's eyes were aglow, not with fear, but with the profound acceptance of inevitability that comes with groundbreaking revelation. Moreover, within Taylor's stern exterior churned the seed of reluctant admiration for the unclassified, the uncharted realms they were approaching. + +Together, they accepted the pivot in their mission, readjusting their objectives from exploration to engagement, and from isolation to a communal outreach beyond the stars. As dawn's first light threatened the horizon, it became clear that they were no longer merely operatives of a clandestine governmental faction—they were delegates on behalf of Earth, embarking on a voyage orchestrated by destinies unrelated to the mere geopolitics of their world. + +Turning to each other, their silhouettes sketched against the coming dawn, the agents recognized the transformation within and amongst them. They were bound by more than duty—they were intricately woven into the fabric of an unfolding cosmic opera, one in which they had been granted an undeniable role. And as they set course for the coordinates that beckoned them like a distant siren's call, it was with a solemn dedication to not only uncover the mysteries ahead but to navigate the convergence, and the peril, as unified emissaries of a world on the cusp of a broader understanding. + +\* + +Beneath the hum of the fluorescent lights and the vigilance of silent monitors, Alex Mercer stood with his team in the threshold of the base's command center, their faces etched with the fatigue of hours spent unraveling galactic mysteries. Jordan Hayes broke the stillness with a delicate fusion of disbelief and resolve. ""The signal..."" they began, their tone deliberate, ""it’s evolving. It’s not just sending a message—it’s responding to us."" + +Taylor Cruz leaned over the console, their eyes narrowing with intrigue and a flicker of unease, studying the alternating patterns on the screen. ""Responding? Like it’s alive?"" Taylor asked, a question that bordered on the edge of wonder and alarm. + +Sam Rivera’s gaze was locked onto their interface, a digital orchestra at their fingertips. ""It could be some form of advanced AI. Or something else entirely,"" they contributed, a note of exhilaration betraying the gravity of the situation. + +Alex paced before the terminal, absorbing the enormity of their predicament. Their mission—once rooted in the solid ground of military discipline and covert operations—had transcended into an encounter of unprecedented import. ""We need to be cautious,"" he advised, his voice a low rumble of cautious strategy. ""If this signal is intelligent, how we interact with it could dictate the outcome of this entire operation."" + +Jordan met Alex's gaze with a nod, the weight of the responsibility shared and accepted. ""We have protocols for first contact, but nothing for... this,"" Jordan admitted. The room was gripped with tension, each breath seemingly louder than the last. + +Then, with a sudden burst that filled the command center, the signal coalesced into a clear and distinct pattern which replicated and expanded, its complexity revealing the hand—or mind—of an intelligent architect. + +Taylor's instinct for command surged forth. ""Prepare to record and analyze. Whatever it is, we need to understand it—"" But their words were cut short as the signal surged, enveloping the room in a brief, blinding cascade of light. + +In that pulse of brilliance, a shared revelation coursed through the team. The signal had become a bridge, an extension of unknown consciousness reaching towards them, testing, communicating, searching. + +Alex stepped back from the light, feeling a profound change unravelling within him. The path forward would not be one of confrontation or conquest, but of connection and comprehension. + +Jordan turned to Alex and Taylor, seeing in their faces a reflection of the same metamorphosis taking place within themselves—a movement from observers to participants, from agents to ambassadors. + +With a collective breath, the team faced the kaleidoscope of lights. The alien signal, once a harbinger of enigma, was now a catalyst for transformation—a symphony of light and sound that echoed the beginnings of a new relationship between humanity and the alien unknown. + +And so, with deliberate steps, Alex Mercer led his team into the luminous fray. Science, protocol, and survival instinct harmonized within them, each member poised on the cusp of a new chapter in human history. + +They were no longer merely the instruments of Paranormal Military Squad's will—they were the vanguard of humankind’s first definitive leap into the cosmic community. + +With the last echoes of the signal resonating in the control room, they each embraced the sequencing of the transmission, the dance of extraterrestrial light that now wrote itself into their story. The chapter of Operation: Dulce drew to a close, but the narrative of their destiny had only just begun." +"## Chapter 6 + +\* + +The cool darkness of the command center at Dulce base was a stark contrast to the brewing storm outside, where the unforgiving New Mexico desert winds whispered of the hidden truths that lay buried deep beneath its surface. Dr. Jordan Hayes sat, their eyes fixed on the readout, the frenetic dance of symbols and numbers reflecting off their determined face. They were on the cusp of an epiphany, teetering between the widely accepted laws of physics and the promise of a new cosmic paradigm. + +Alex Mercer watched from across the room, noting the subtle shifts in Jordan’s posture that belied a developing readiness to embrace the unbelievable. “Find something?” Alex’s question, asked with a blend of curiosity and solidarity, bridged the gap between a command and a genuine query among equals. + +Jordan's response was slow, measured against the magnitude of their analysis. “This isn’t random static. It’s a pattern - a repeated sequence phasing in and out but distinctly artificial.” Jordan turned away from the screen, locking eyes with Alex. “This could change everything.” + +Sam Rivera leaned in, their eyes alight with the fires of revelation and a quenchless thirst for understanding. “A pattern means intention. Could it be a message?” + +A figure emerged from the doorway, casting a long shadow into the room - Taylor Cruz. “Intentions can be friendly, or hostile. We shouldn’t forget that,” said Taylor, bringing a dose of their usual pragmatism into the heart of discovery. + +Alex acknowledged Taylor’s caution with a nod, understanding the need to keep their feet grounded even as their spirits soared toward the unknown. “Then let’s be the first to find out which it is."" + +The team gathered around the monitors, the soft tapping of Jordan's keystrokes now punctuated by the occasional crackle of Sam's radio equipment. The sound was almost ritualistic, a prelude to humanity’s potential first, knowing foray into a larger universe. + +Jordan’s fingers paused, suspended in mid-air. The signal had evolved, becoming a beacon that somehow felt less alien and more familiar. It was as if the complexities of their message were unfolding into something more accessible, more terrestrial. + +A hushed excitement swept through the room. The transformation suggested an awareness on the part of the unknown senders; a finesse that spoke volumes about their capabilities and perhaps their intentions. + +With the growing realization that they were engaging with an intelligence far exceeding their previous understanding, the team prepared to reach back across the cosmic divide. Prepared or not, they were no longer bystanders in this galactic narrative. They were active correspondents in an exchange that transcended galaxies and welcomed them into an expansive, possibly fraught, interstellar conversation. + +\* + +Inside the cavernous central hub of Dulce military base, Dr. Jordan Hayes stood in near-darkness, surrounded by a nest of cables and monitors that buzzed with silent, cryptic life. Jordan's eyes narrowed to focus on the sequences that danced across the screen—patterns that could unravel the cosmic enigma surrounding them. + +Alex Mercer approached with his characteristic stride, a signal of reliability in the chaos. ""Status report, Dr. Hayes?"" he inquired, his voice low, almost blending into the soundscape of beeping consoles and swirling fans. + +""We're on the brink of unravelling the signal's origin,"" Jordan replied, the weight of implications heavy in their tone. ""There's intelligence behind it, a thought process alien to our own."" + +As if summoned by their analysis, Taylor Cruz approached with authority radiating from every pore. ""Understand this, we need to know if it's friend or foe. Don't get wrapped up in the existential—our lives may depend on the answers you provide."" + +Sam Rivera, their hands adroitly adjusting a device to fine-tune the signal, chimed in with optimism undercut by anxious anticipation. ""We're deciphering the comm encryption. Soon, we'll have a channel open—not just listening in, but speaking back."" + +Alex nodded his understanding, his strategic mind processing the tactical implications while grappling with the more profound humanistic impact. ""When we do, we'll tread carefully, communicate with purpose,"" he reassured the team. + +The operation had evolved rapidly, from a stealthy incursion into a clandestine labyrinth to an exchange with an extraterrestrial intellect. Their earlier trepidation transformed into determined focus, as they prepared to extend humanity’s hand into the vast unknown. + +An alert on one of the monitor stations snapped the team into alarm. The signal had not simply been waiting—it had been calculating. Now, it reached its crescendo, demanding their attention with a provocative urgency. + +Jordan's fingers raced over the keyboard, their eyes simultaneously interpreting data and sharing directives. ""It’s a linguistic lock, a test of comprehension. We crack this, we establish dialogue."" + +Taylor's presence was a beacon of steely resolve. ""Then let’s solve it. This is what we trained for—the unknown."" + +Alex and Sam exchanged a look that telegraphed their shared determination—this was not only the mission they had trained for; it was the mission they had been destined for. + +Together, the Paranormal Military Squad team leaned into the challenge, their minds honing in on the complex patterns with a singular goal: to unlock the conversation with an intelligence that had already begun to shift the foundations of what they knew, or thought they knew, about the universe. + +In a symphony of clicks and murmurs, they worked, knowing they were about to make a giant leap not just for themselves or Paranormal Military Squad, but for all of humanity. As the final pieces fell into place, Dulce's militaristic silence was shattered by the sound of intergalactic contact—by the sound of history being made." +"## Chapter 7 + +In the enclosed space of Dulce’s command center, the air was thick with anticipation, each team member poised to tread the razor's edge between scientific breakthrough and galactic peril. Dr. Jordan Hayes focused intently on the screen, their fingers tapping a staccato rhythm against the keyboard as lines of alien code cascaded down the monitor. + +Alex Mercer's steely gaze surveyed the room, stopping on each member of his team. ""Thoughts?"" he asked, echoing the unspoken tension. His question, while directed at the group, lingered on Jordan—acknowledging their expertise and inviting collaboration rather than dictating orders. + +Jordan’s brow furrowed, an indicator of the mental gymnastics being performed. ""It's unprecedented,"" they finally said, their voice a testament to the gravity of the moment. ""Behavioral algorithms... if we're right, this code could reveal extraterrestrial thought patterns."" + +Before anyone could react, Taylor Cruz interjected with the assertiveness of someone accustomed to commandeering the discourse. ""Then let’s ensure we’re deciphering it correctly,"" Taylor stated, their tone suggesting they were still battling to maintain control over an increasingly alien situation. + +Sam Rivera hovered near the mainframe, youthful energy barely contained under the surface. ""What if it’s more than just a message? What if they’re trying to extend consciousness across the stars?"" + +The room fell into a contemplative silence, broken only by the hum of electronic equipment and the distant thud of secured doors locking in rhythm. The weight of responsibility rested on each agent's shoulders—a heaviness palpable in the air they shared. + +Alex stepped forward, reaching a subtle decision, one dictated by foresight and the humanity nestled at the core of their mission. ""We approach with the aim to understand, not to confront,"" he said, softening his military bearing into a more diplomatic stance. + +Jordan nodded, appreciating the leadership that Alex displayed in the face of the unknown, and turned back to the cryptic data. Here, before them all, was a tangible piece of evidence—proof of an extraterrestrial sentience that had outreached the bounds of their expectations. + +Taylor took a breath, simultaneously exuding a sense of preparedness and venturing into the unknown alongside their peers. ""Then let’s do what Paranormal Military Squad does best—investigate and adapt,"" Taylor added, finding comfort in the familiar even as they stood on the cusp of an unprecedented alchemy of science and mystery. + +The team leaned into their respective roles, driven by the urgency of the assignment and the pull of an insatiable curiosity. Sam offered a grin that belied the tension, a youthfulness that reminded them all of the profound excitement nested within the terror of the unknown. + +Quietly but resolutely, they turned back to their instruments, each of them a sentinel on the threshold of a new reality. The once implicit lines of command were now woven into a shared tapestry of hierarchy and camaraderie. As they danced with the unknown, they were beacons of sentient endeavor, casting the light of human consciousness into the vast darkness that called to them. + +\* + +\* + +Dulce Base's cavernous darkness was pierced by the sharp luminescence of monitors, casting an electric glow onto the faces of those who dared to unearth its secrets. Dr. Jordan Hayes stood motionless, eyes glazed in concentration, their mind a nexus where terrestrial science battled with celestial unknowns. + +Alex Mercer watched from a slight distance, the weight of command tangible upon his shoulders, though lightened by the shared burden now held amongst them. ""We could be on the frontier of a new kind of diplomacy,"" he mused aloud, giving voice to the moment's gravity. + +At those words, Jordan's trance broke. ""If that's the case, then these communications,"" Jordan motioned to the stream of data, ""are our olive branch across the cosmos."" + +Taylor Cruz, who paced with restless energy, halted and faced the team—his stoicism marred by the erratic dance of lights reflected in his eyes. ""An olive branch, or an invitation to a battlefield?"" he posed, ever the strategist, his words laced with a hint of cynicism. + +Sam Rivera, nestled amongst an array of equipment, licked their lips—a mixture of nerves and anticipation palpable. ""We're mapping out something incredible here. Whether it's peace or war, we're the cartographers."" + +Silence enveloped them like the expanse of space itself, each member contemplating the chasms they might bridge—or the abysses into which they might unwittingly descend. + +Alex's demeanor assumed a quiet resolve—the profound knowledge that this mission was as much about navigating uncharted philosophical territories as it was about ensuring survival. ""Whichever it proves to be, we'll face it. Prepared, unified."" + +A nod passed between Jordan and Alex, a silent exchange of mutual respect and shared mission. Sam, buoyed by the weighty encounters of the mind and machinery, entered keystrokes with a fervor that seemed to bring them ever closer to the alien mind. + +They stood there, the Paranormal Military Squad team, not just as guardians of homeworld secrets or as soldiers of clandestine wars, but as humankind's chosen few at the fulcrum of history—a history that was now unfolding to the rhythm of otherworldly codes. + +Each revelation, each parsed symbol, inched them toward the line between the earthly and otherworldly. And as they stood on this precipice of cosmic negotiations, it was clear the ensuing dialogue would not just shape the future of Paranormal Military Squad—it could very well redefine the parameters of human existence. + +\* + +The hum of advanced computational systems tingling with cryptic transmissions framed the ambiance of Dulce's mainframe chamber. Jordan Hayes, fingers hovering over a console dense with blinking lights, furrowed their brow as sequences of alien data streamed across the screen. + +Alex materialized behind them, his presence a stable beacon amidst the technological whirlwind. ""Look for patterns, anomalies. Anything that might resemble a handshake protocol in their communications,"" he directed, his voice a low thrum, reverberating with cautious optimism. + +Jordan cast a glance over their shoulder, acknowledging Alex's contribution with the shared understanding of colleagues who had transcended mere professional acquaintance. ""I’m isolating sequences that seem to recur with more intention than static. If these are their ‘handshakes,’ then we might just be making first contact,"" they remarked, their focus returning to the screen with renewed vigor. + +From the other end of the room, where shadows married the artificial light, Sam's voice crackled through the static of nearby speakers, ""Don't forget the anomalies we detected earlier. Each one could be a word, a sentence, or even a concept untranslatable to our current understandings."" + +Resolute, Taylor Cruz stood at Jordan's other side, a stoic figure wrestling with the implications of their mission. ""Keep pursuing this line,"" Taylor instructed, an undercurrent of intensity carried forth in their otherwise composed demeanor. ""And remember, this isn't just about making contact; it's about securing knowledge for humanity."" + +Alex offered a nod that spoke volumes, conveying his understanding of the stakes at play. Here, in this chamber of possibility, the team's actions would determine if humanity stood at the brink of a new age of understanding or the onset of an unprecedented threat. + +Every second thrummed with significance as Jordan and Sam worked in tandem, each keystroke a foray into the unknown. Taylor observed with a commander's scrutiny, the gravity of their role sustaining them against the waves of ambiguity breaking against their resolve. + +Pivotal moments come rarely in the course of human events but here, amidst the electronic symphony of a stalwart command center, lay the incepting notes of a cosmic overture. The harmony between human and alien, between Paranormal Military Squad and the vast reaches of space, began its first tentative measures, with each member of the team a vital instrument in a celestial ensemble yet to be fully heard. + +\* + +The crisp air within the mainframe room of Dulce base seemed to hum with unspoken possibilities. Jordan Hayes was the centerpiece of focus, their hands dancing methodically over the console as streams of otherworldly code cascaded down monitors, each flicker a potential key to the cosmic doors they were inching open. + +Alex Mercer watched, posture relaxed but eyes sharp. ""Remember, this could be our first introduction, maybe even our first impression,"" he said, mindful of the gravity carried by each action they made henceforth. + +A hint of a smile touched Jordan's face, a small acknowledgment of the monumental task at hand. ""Understood. I'm balancing the signal's syntax with our algorithms. If we're interpreting this correctly, it could be... well, an invitation."" + +Into the electric tension of the chamber walked Taylor Cruz, their silhouette a sharp contrast against the cool lighting, radiating a presence that spoke of command and chilly tenacity. ""An invitation, or a challenge?” Taylor questioned, the weight of their suspicion casting a different tint on the cascading data. + +Sam Rivera, in a corner arrayed with sophisticated equipment, piped up, their voice a buoyant note amidst the tentative atmosphere. ""Either way, it's a connection. One that we're uniquely positioned to navigate,"" they remarked with an air of optimism threading through the uncertainty. + +Alex channeled the strengths of his team into the core of their approach, his leadership adapting to the contours of an unprecedented scenario. ""Cautious and curious,"" he reflected aloud, shaping a strategy that balanced their thirst for comprehension with the prudence required in addressing the unknown. + +Jordan, hands momentarily at rest, looked up. The signal was more than a sequence of bits and commands—it was a riddle wrapped in the depths of space-time, and they were on the cusp of parsing its meaning. + +Taylor, hardly a step away, nodded in silent agreement. The implications of their findings might very well direct the course of human destiny from this point onward. + +Finding a tempo among themselves, the Dulce team was a confluence of ambition and acumen, each member intuitive to the beats of discovery. The chamber around them held untold stories, secrets coaxed from the stars, that now, led by Paranormal Military Squad's finest, began to unravel. + +The future in those moments was unwritten, a narrative scribed not in the dust of desert confines, but in the potential for interstellar diplomacy and understanding. As they prepared to script humanity's next chapter, the room seemed to pulse with the heartbeat of a story far greater than the sum of its parts." +"## Chapter 8 + +The grit of an earthbound dust storm contrasted sharply with the pristine sterility of the underground command center. Alex Mercer, eyes set with fervent determination, stood over Jordan Hayes, whose fingers danced across the keyboard with rapid purpose. Monitoring the progression of alien code unraveling before them, Mercer spoke with a tempered urgency, ""Keep it steady, Jordan. We might be initiating the first true interspecies communication bridge here. It's all about finesse now."" + +Taylor Cruz, the embodiment of military precision, surveyed the room with a calculated gaze from their vigil beside an array of glimmering screens. ""Remember, these could be delicate negotiations -- or coded threats. Stay sharp,"" Cruz added, their voice cool as polished steel. + +Jordan, with a silent nod, recognized the gravity of both stances. Gravitating between scientific acuity and diplomatic caution, they replied, ""The sequence is aligning—syncing with our comms. It's looking more and more like direct engagement."" + +Amid the banks of electronic machinery, the thrumming pulse of an impending interspecies signal exchange, Sam Rivera interjected with a youthful zeal that cut through the weighty atmosphere, ""It's not just an exchange. It's a... symphony. It's as if they're teaching us their language through modulation."" + +A moment of profound silence swept over the team. The isolation of their location, deep within the top-secret labyrinth of Dulce, became suffused with an almost palpable sense of historical significance. + +""Then our response needs to be equally symphonic,"" Alex uttered, contemplating the awe-inspiring transmutation of their task from a simple recovery mission to a full-blown cosmic concerto. + +With a renewed sense of wonder tempered by caution, the Paranormal Military Squad team found themselves harmonizing a delicate balance between envoys and interpreters. The long shadow cast by their duty was now illuminated by the brilliant glow of otherworldly dialogue. + +In this carefully orchestrated march towards the unknown, each individual's expertise became critical notes in a larger melody. The narrative of human achievement, so often defined by solitary pursuits, now emerged as a collaborative opus, each member of the team a maestro in their right. + +The protocols of encounters, the mathematics of languages, and the poetics of connection all fused into a singular moment of convergence. The echo of their efforts reverberated back to them, not through the cavernous base's concrete walls, but from light-years away, in the form of a reply, intangible yet infinitely profound. + +\* + +Amidst the hum of the supercomputers and the faint static from the scrambled transmissions, Alex Mercer cast a thoughtful glance across the dimly lit room toward where Dr. Jordan Hayes was methodically adjusting the archaic dials of the decryption machine. ""Any progress?"" he asked, his tone conveying both impatience and the deep-seated respect born from countless shared challenges. + +Jordan did not look up, their gaze remained locked on the flickering lights that represented a dialogue suspended between worlds. Their fingers ceased their dance, hovering meditatively over the controls. ""We might be on the cusp of a breakthrough,"" Jordan suggested. ""The signal... it's evolved. It's reflexive now, responsive in a way that suggests sentience."" + +Taylor Cruz's familiar sharp strides approached the two, breaking the rhythm of soft beeps. ""Responsive is good, if it means understanding,"" Taylor said, head tilted as they peered at the encryption data scrolling by. ""But remember, comprehension can bring revelation or conflict."" + +Sam Rivera’s youthful voice permeated the tension, brimming with an excitement edged by the enormity of what they faced. ""If it's truly sentient, we're not just cracking a code; we're learning how to converse with an entirely new form of consciousness,"" they chimed in, the weight of history not lost on the zealous astrotechnician. + +Alex nodded, his thoughts alighting on potential strategies for navigating the conversation they were cultivating with the unfathomable. ""We need to keep that conversation going, echo its patterns, and speak its language,"" he resolved, knowing the delicate nature of their work merited every ounce of their collective acumen. + +The chamber now was a crucible, forging within it the future narrative of human contact with the unknown. Every signal pulse they sent out was an invitation for understanding, and every echo back a step closer to bridging the cosmic divide. And so, together, they stood - agents in Paranormal Military Squad's clandestine ranks, united by purpose, sculpting humanity’s first sonnets into the void. + +\* + +#### Knowledge graph updates + +- (Jordan Hayes, Interprets, Communications as cosmic diplomacy, Moderate) + +- (Taylor Cruz, Questions, Potential aggressiveness of alien intent, Minor) + +- (Sam Rivera, Expresses, Optimism about forming a connection, Minor) + +- (Alex Mercer, Adopts, Balanced strategy for contact, Moderate) + +- (Paranormal Military Squad team, Navigates, Beats of cosmic discovery, Moderate) + +- (Paranormal Military Squad team, Prepares, To script humanity's interstellar narrative, Major)" +"## Chapter 9 + +The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought. + +Dr. Jordan Hayes, whose hands had been steadfastly working the decryption algorithms, paused and looked up at Alex. ""We're through the next layer of encryption,"" Jordan announced, a mixture of pride and gravitas in their tone. ""It's communicating. It's... aware."" + +A shadow momentarily clouded Alex's determined features—awareness implied so much more than mere intelligence. ""Aware and reactive or aware and proactive?"" he queried, his experience anticipating the pivotal importance of intention. + +""Unknown at this stage,"" Taylor Cruz interjected, looking up from a datasheet. ""But I urge caution. We tread the line between breakthrough and disaster with each keystroke."" + +Sam Rivera, ever the source of technological acumen, added their voice to the conversation. ""The signal's adapting every time we interact with it. Like a conversation where both parties are learning each other's language in real time."" + +Alex leaned in, rested a hand on Jordan's shoulder—a sign of companionship and an affirmation of trust. ""Keep the communication channels open. But let no message, no pulse go unchecked. This could be our Rosetta Stone or our Tower of Babel."" + +Silence fell over them, a momentary lull as each member of the team contemplated the historic weight of their task. Yet, it was impregnated with a tangible sense of excitement—a collective energy that thrummed through the air just as palpably as the electric current through the banks of machines surrounding them. + +They continued their work, squaring shoulders against the magnitude of their undertaking. The agents were standing not just at the precipice of a new chapter for Paranormal Military Squad but for all of humanity. For now, they communicated with powerful unknowns, but with each exchange, they were etching the first words of a dialogue that might forever alter humanity's place in the cosmos. + +\* + +\* + +The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought. + +Dr. Jordan Hayes, whose hands had been steadfastly working the decryption algorithms, paused and looked up at Alex. ""We're through the next layer of encryption,"" Jordan announced, a mixture of pride and gravitas in their tone. ""It's communicating. It's... aware."" + +A shadow momentarily clouded Alex's determined features—awareness implied so much more than mere intelligence. ""Aware and reactive or aware and proactive?"" he queried, his experience anticipating the pivotal importance of intention. + +""Unknown at this stage,"" Taylor Cruz interjected, looking up from a datasheet. ""But I urge caution. We tread the line between breakthrough and disaster with each keystroke."" + +Sam Rivera, ever the source of technological acumen, added their voice to the conversation. ""The signal's adapting every time we interact with it. Like a conversation where both parties are learning each other's language in real time."" + +Alex leaned in, rested a hand on Jordan's shoulder—a sign of companionship and an affirmation of trust. ""Keep the communication channels open. But let no message, no pulse go unchecked. This could be our Rosetta Stone or our Tower of Babel."" + +Silence fell over them, a momentary lull as each member of the team contemplated the historic weight of their task. Yet, it was impregnated with a tangible sense of excitement—a collective energy that thrummed through the air just as palpably as the electric current through the banks of machines surrounding them. + +They continued their work, squaring shoulders against the magnitude of their undertaking. The agents were standing not just at the precipice of a new chapter for Paranormal Military Squad but for all of humanity. For now, they communicated with powerful unknowns, but with each exchange, they were etching the first words of a dialogue that might forever alter humanity's place in the cosmos. + +\* + +Alex Mercer's eyes were fixed on the monitors, the reflected light casting an ethereal glow across his stoic face. The room buzzed with tension, a cacophony of low hums and electronic beeps that underscored the historic nature of their actions. He moved to where Dr. Jordan Hayes was immersed in their work, scrutinizing the alien code streaming rapidly down the terminal. + +""Find anything that might look like an entry point or a... digital handshake?"" Alex asked, his voice steady, betraying none of the tension gripping his chest. + +Jordan looked up briefly, their expression weary yet intense, ""Potentially. It's as if the code is anticipating our input, modifying itself in real-time. I've never seen anything like it."" + +From across the room, Taylor Cruz's sharp voice cut through the hum. ""Then it's learning or, possibly worse, baiting us. Proceed with extreme caution,"" they commanded, their firm stance reinforcing the gravity of the situation. + +Sam Rivera, surrounded by a cascade of screens and interfaces, added, ""It's almost organic in its complexity. Any minute now, and I might have a way in."" + +A slight nod was Alex's immediate response, his mind racing through the potential scenarios. ""Everyone, stay alert. This could be the beginning of something profound."" His seasoned eyes never left the unfolding drama on the monitors. + +The room fell silent, the air heavy with unspoken questions. Were they mere moments away from unlocking an otherworldly dialogue? Or was it a Pandora's box that, once opened, could not be closed? + +Alex moved closer to the main console, his fingers hovering over the command keys. With the precision of a maestro orchestrating a symphony, he communicated silently with Jordan – respectful of their expertise, aware that the next move could alter the course of human history. + +Jordan met his gaze, nodding sharply, and refocused on the task. The signal seemed to pulse with sentient curiosity, drawing them further into its intricate web. + +A sudden flurry of alerts and the intensifying glow of monitors heralded that they had bridged a technological chasm. The alien intelligence on the other end was no longer a distant enigma – it was an active participant, responding to their digital overtures with an unknown agenda. + +The team's meticulous efforts had led them to a momentous threshold. Beyond lay unprecedented contact – a nexus of curiosity and potential peril. Within the confines of the base, against the backdrop of a silent desert night, the Paranormal Military Squad operatives became mediators of Earth's bid for cosmic relevance, their every action now a gesture in the grand dance of intergalactic relations." +"## Chapter 10 + +The corridors of the Dulce military base, now silent, echoed with a history of whispered conspiracies and furtive movements. But in the command center, a delicate tapestry of light and sound was being woven as the echoes of cosmic dialogue resonated through the high-tech enclave. Dr. Jordan Hayes, now leading the efforts, called out from their workstation, ""I’ve isolated the signal's harmonics. It's more than a call; it's a song, an interstellar siren’s call."" + +Alex Mercer, steady and resilient in the face of the incomprehensible, acknowledged with a quiet nod, ""A song that we need to learn—quickly."" His eyes, heavy with responsibility, scanned the room, watching his team work tirelessly at the intersection of science and speculation. + +Sam Rivera, dulled by fatigue yet driven by unshakeable resolve, manipulated a complex array of audio interfaces. ""There's a pattern, a repeating motif. It's structured, intentional,"" they muttered, their revelation a bridge between the known and the unimaginable. + +Taylor Cruz, a figure of central authority, paced the length of the room, their usual unflappable demeanor betraying a rare flicker of apprehension. ""We should be wary of the sirens’ call,"" Taylor interjected, invoking myths of old as a cautionary metaphor. ""We don't want to crash upon unseen shores."" + +Undeterred, Jordan cast a determined glance at the team. ""We navigate by starlight now, not by the limited light of our previous understanding."" Their voice was a beacon, charting a course through unchartered realities. + +Every individual was acutely aware that each moment in that room was a conduit to an epochal shift for civilization. The mysterious signals, once distant and alien, had coalesced into complex and harmonious oscillations—beacons of an extraterrestrial intellect inviting Earth to join in a cosmic consortium. + +Silently, Alex approached the mainframe, his trained fingers aligning with the console’s mechanisms. The room watched in collective breathlessness as he set the frequency in motion, an introductory phrase to an otherworldly melody—a symphony that could bind worlds or spell devastation for all they knew. + +In the control room of Dulce, amongst whispered legends and the quiet hum of machines, humanity's ambassadors now stood, stretching their hands into the void, reaching for the hand that would either pull them into the light of new stars or into the maw of darkness between them. + +\* + +Underground, the Dulce facility's command center was awash with frenetic energy, a stark juxtaposition against the silent, decrepit corridors that enveloped them. The air hummed with anticipation as Dr. Jordan Hayes and Alex Mercer hunched over a console. The sterile light from the monitors cast an otherworldly glow upon their faces, now reflecting a mosaic of alien characters rapidly translating across the screen. + +""The patterns are evolving,"" Jordan murmured, concentration etched into their every feature. ""It’s as if our attempts to decrypt have accelerated its learning. It’s adapting to us."" + +Alex, who stood steadfast behind Jordan, felt a tinge of uncharted fear quickly quelled by the fire of discovery raging within him. ""Keep it up,"" he urged. ""But whatever this is becoming, we need to ensure it remains within our control."" + +Taylor Cruz interjected, their voice slicing through the buzz of activity. ""Control may be an illusion when facing an intelligence that literally writes its own rules,"" they stated stoically, casting a watchful eye over the flurry of data. + +""It's like it's learning to communicate,"" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. ""This gives ‘talking to strangers’ a whole new meaning."" + +Alex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. ""This might well be our first contact,"" he acknowledged, ""And we need to be ready for whatever answers back."" + +Together, they stood on the edge of the unknown, forging humanity’s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history. + +The encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation of their investigative strategies. The air turned heavy with the scent of electricity and ambition as they closed in on a pivotal response. + +As the signal’s intelligence—whether artificial or biological—grew more profound, so too did the realization that their mission had morphed from passive observation to active engagement. There was no turning back now. Each agent embraced their part in the delicate dance of an interstellar exchange that could change everything they thought they knew about life, intelligence, and the dark void beyond Earth's atmosphere. + +\* + +The underground halls of Dulce Base, usually buzzing with covert operations, now thrummed with a different kind of energy, an electric mix of fear and fascination. At the heart of the base, in a room shielded from the world’s eyes, Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera huddled around a bank of monitors. Each screen flickered erratically with the alien script that had become the center of their lives—and perhaps the pivot on which humanity’s future would turn. + +Jordan's eyes never wavered from the displays, their expression was one of rapt concentration, interspersed with flashes of revelation. ""We're conversing with the stars,"" they whispered, almost to themselves. The words hung in the air, a testament to the awe-inspiring strangeness of the situation. + +""The language is morphing; changing its structure with every exchange we have,"" Sam chimed in, enthusiasm tinged with the solemnity of the occasion. ""It's like witnessing the birth of a new form of dialogue—one that spans galaxies."" + +Taylor, despite the situation's precariousness, maintained an appearance of ironclad composure. ""Keep the communication stream secured and monitored. We don't know what we're dealing with yet,"" they reminded the team, a bastion of protocol amidst uncertainty. + +Alex watched his team expand the parameters of human achievement; their work here would possibly define an era. ""This is untrodden territory,"" he acknowledged, ""and in every word we script, in every response we decode, we're drawing a map that others will follow."" + +Jordan turned to Alex, a nod acknowledging the shared responsibility of this moment. They had embarked on a new voyage, an odyssey not of the body, but of the intellect and spirit. No longer explorers of the Earthly realm, they had been promoted by circumstance to ambassadors of humanity in a silent and boundless ocean. + +A sudden pulse of energy from the monitors signaled a breakthrough; the language had not only adapted but it seemed to resonate, to harmonize with their attempts at making contact. The alien script now sprawled across the screens didn't just ask to be understood—it invited interpretation, collaboration, maybe even companionship across the cold distances of space. + +As they stood before the precipice of first contact, Paranormal Military Squad's finest became the architects of a symphony meant to echo through the cosmos. But more than architects, they were the first to play the notes of this cosmic composition, daring to believe that on the other end, someone—or something—might be listening, ready to join the chorus. + +\* + +The underground command center of Dulce Base, once pulsing with clandestine operations, now resonated with the charge of an impending cosmic threshold. Encircled by banks of whirring machinery, each monitor flickered erratically with alien script that had occupied center stage in the lives of Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera. + +Jordan's gaze didn’t flit for even a moment from the screens, where indiscernible alien messages ebbed and flowed like the tide. The ciphers and symbols cascaded down as they tweaked the algorithmic sliders. ""This sequence here,"" Jordan began, voice both hushed and heavy, ""it’s not just transmitting; it resonates—it's designed to be felt."" + +The room took a collective breath, the remarkable implication hanging in the air like a careful revelation. Sam Rivera was the first to respond, their voice alive with ingenuity: ""It's a form of communication stretching well beyond words. We need to respond in kind—the whole array of human expression might be at play here."" + +Taylor's eyes remained fixed on the figures playing across the data sheets. ""If that's the case,"" Taylor intoned pragmatically, ""we must tread carefully. This is no longer just about being heard—it's about being understood."" + +Alex watched his team, each a fulcrum of insight and expertise, and felt the solemnity of the role they were about to assume. ""Then we'll ensure our message is clear and full. Our humanity is our strength in this dialogue,"" he declared, the depths of his experience fueling a commanding reassurance. + +The anticipation was palpable as the agents contemplated the vastness of their endeavor. They were not merely probing at the secrets of the planar cosmos—they were negotiating across the starry expanse, extending to distant intelligences the full spectrum of human curiosity and compassion. + +A symphony of beeping consoles orchestrated their next steps as they prepared to articulate their interplanetary overture. The rhythmic tapping of Jordan's keystrokes set the tempo for an undertaking that traversed beyond algorithms and encryption. + +The base withstood time and whispered secrets of its own, but none so grand as this moment of creation—an invitation to the universe that promised to echo through both the echoes of space and the annals of human history." +"## Chapter 11 + +The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought. + +\* + +The thrum of the colossal machinery vibrated through the subterranean facility as Alex Mercer stood amidst the whispers of technology, each carrying voices from worlds apart. He watched as Sam Rivera adjusted a complex array of cosmic translators, their expression a mixture of anticipation and awe. + +""Are we ready, Mercer?"" Taylor Cruz asked, the soft glow of the command center consoles reflecting upon their stern face. + +Alex turned towards Taylor, his eyes holding a depth that betrayed the enormity of the threshold they were about to cross. ""This is it,"" he said. ""Initiate the protocol. It's time we answer the cosmos."" + +Jordan Hayes, stationed at the mainframe, typed rhythmically, a blue hue painting their focused features. The eerie silence that had settled over the team was interrupted by a visceral sound—humankind's response to the alien dialogue, now streaming into the abyss. + +The control room, once a fortress of solitude, erupted into an oasis of life. Lights flickered in tandem, echoing the symphony of interstellar communication. They stood together at the edge of discovery, facing the symmetry and discord of a universe unknown. + +""If we're right, we've just become Earth's first emissaries to a celestial congress we're only beginning to comprehend,"" Jordan's voice was somber, resonating with a mix of trepidation and honor. + +The room filled with the resonance of human and alien minds converging, creating a new narrative within the fathomless expanse of existence. Paranormal Military Squad, once protectors of Earth's clandestine secrets, had now become the tether linking humanity to the cosmic fold. + +\* + +The underground command center of Dulce Base, once pulsing with covert operations, now resonated with the charge of an impending cosmic threshold. Encircled by banks of whirring machinery, each monitor flickered erratically with alien script that had occupied center stage in the lives of Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera. + +Jordan's gaze didn’t flit for even a moment from the screens, where indiscernible alien messages ebbed and flowed like the tide. The ciphers and symbols cascaded down as they tweaked the algorithmic sliders. ""This sequence here,"" Jordan began, voice both hushed and heavy, ""it’s not just transmitting; it resonates—it's designed to be felt."" + +The room took a collective breath, the remarkable implication hanging in the air like a careful revelation. Sam Rivera was the first to respond, their voice alive with ingenuity: ""It's a form of communication stretching well beyond words. We need to respond in kind—the whole array of human expression might be at play here."" + +Taylor's eyes remained fixed on the figures playing across the data sheets. ""If that's the case,"" Taylor intoned pragmatically, ""we must tread carefully. This is no longer just about being heard—it's about being understood."" + +Alex watched his team, each a fulcrum of insight and expertise, and felt the solemnity of the role they were about to assume. ""Then we'll ensure our message is clear and full. Our humanity is our strength in this dialogue,"" he declared, the depths of his experience fueling a commanding reassurance. + +The anticipation was palpable as the agents contemplated the vastness of their endeavor. They were not merely probing at the secrets of the planar cosmos—they were negotiating across the starry expanse, extending to distant intelligences the full spectrum of human curiosity and compassion. + +A symphony of beeping consoles orchestrated their next steps as they prepared to articulate their interplanetary overture. The rhythmic tapping of Jordan's keystrokes set the tempo for an undertaking that traversed beyond algorithms and encryption. + +The base withstood time and whispered secrets of its own, but none so grand as this moment of creation—an invitation to the universe that promised to echo through both the echoes of space and the annals of human history." +"## Chapter 12 + +The underground facility of Dulce Base, once shrouded in silence and operational secrecy, now hummed with an energy that cradled the promise of cosmic revelation. Alex Mercer stood pensively by the central terminal, flanked by Dr. Jordan Hayes, Taylor Cruz, and Sam Rivera, each poised at the edge of a history-defining moment. + +Jordan's fingers ghosted across the console, tracing patterns of otherworldly origin. ""The signal’s architecture is becoming more complex, resembling aspects of human cognition—recognition, learning, even... empathy?"" they postulated with furrowed concern. + +Alex turned his gaze upon Jordan, his voice quiet but resolute, ""Empathy could bridge galaxies. Let's harness this connection and proceed with cautious optimism."" + +Taylor, ever the sober sentinel, projected a more pragmatic standpoint. ""Empathy or not, we are duty-bound to assess the risk to humanity. Every new discovery warrants a measured response."" + +The static hiss of communications equipment filled the air, its purpose now transformed into a dialogue with an intelligence beyond the stars. It was Sam, wide-eyed amid the myriad lights and switches, who broke the silence, ""We have provisional confirmation of the signal’s intent—initiation. We’re being brought into a broader spectrum of cognizance."" + +The chamber lay still for a heartbeat, the Paranormal Military Squad agents steeped in contemplation of the path unfurling before them—a path paved with possibilities of diplomacy or disruption, each step a venture further into the cosmic unknown. + +Alex stepped closer to the viewing monitors, each depicting alien symbols seemingly reaching out from the void. ""Initiate the broadcast,"" he spoke with quiet command. ""Our response will mark humanity’s readiness to partake in the wider conversation of conscious beings."" + +Amidst the crackling air of expectation, the team wordlessly returned to their stations. They had transcended their roles as protectors of Earth's clandestine lore to become the harbingers of an interstellar parley that could change the existential course of life on their pale blue dot. + +The deep hum of the terminal emitted a signal—a testament to the uncanny reality that Earth was now actively partaking in an exchange not bound by gravity nor the limits of the solar wind. + +Here, in the depths of Dulce, a message from humanity woven from understanding and uncertainty was cast into the firmament, an epitheg of their desire to join the universal dialogue and discover their place among the constellations. + +\* + +The somber depths of the Dulce Base command center stood in stark counterpoint to the animated flurry of activity around the central comms array. Alex Mercer's silhouette loomed behind Dr. Jordan Hayes, who sat with a posture indicating laser focus on the decryption process. A quiet murmur of digital soundscape filled the space, subtly heightened by the anticipation of contact with an intelligence beyond the Earth. + +Jordan's voice was steady, betraying none of the extraordinary nature of their work, ""Looking through the signal's pattern, it's evident we’re dealing with a form of intelligence—calculating, mirroring, possibly even understanding."" + +Alex's reflection bounced off the darkened screens, his head nodding in silent affirmation. ""We’re walking a delicate line. Our response should be thoughtful, measured. We’re ambassadors, not merely explorers."" + +Taylor Cruz approached, arms folded, their words slicing through the din of careful keystrokes and soft whirrs, ""If there’s even the slightest chance it understands, we can’t afford missteps. The language of the stars might be more absolute than ours."" + +From another terminal, Sam Rivera brought youthful vigor to the conversation, ""There’s rhythm in these patterns. If this is their way of reaching out, our reply should encapsulate all that we are—all that humanity stands for."" + +Looking around at his team, Alex saw resolve etched on every face. The chamber, usually somber and echoing with the quiet steps of covert agents, now felt alive with the heartbeat of discovery. They were not just professionals operating in the gloom; they were a collective standing at the helm of a momentous journey. + +""Let’s begin,"" he said, returned by the resolve in his voice. ""Every second counts."" With that, they pressed forward, setting in motion a reply to a conversation billions of years in the making. + +The dance with an unseen partner commenced, each pulse they sent out a step taken with caution and hope. And as those digital pulses journeyed through the black sea of infinity, Earth, for perhaps the first time, joined a pan-galactic dialogue that whispered secrets of the cosmos—secrets that, until now, had been lost in the silent vastness of space. + +\* + +As the team stood in the centralized nerve center of Dulce's underground fortress, the solemn atmosphere was reverent, overseeing systems that engaged with an intelligence from the void. Alex's stance was contemplative as he gazed at Jordan Hayes, who presided over the console, the tension of the moment reaching a tactile fervor. Each rhythmic tap of Hayes's fingers on the keys was a foray into uncharted symphonies of contact. + +Observing Hayes unravel the dense alien encryption, Alex spoke, a diplomatic tenor underpinning his words, ""Keep focused on the syntax, dissect its nuances. We're not just decoding signals; we're translating intentions."" + +Without diverting from their task, Jordan acknowledged the insight. ""Indeed, if their understanding of us is as deep as we hope, we're paving the way for dialogue far beyond our current realm."" + +Taylor Cruz, near the rear of the room, provided a steady oversight. ""As horizonless as our prospects may seem,"" Taylor intoned, ""remain diligent. Complacency before alien cognition could spell catastrophe."" + +Sam's youthful voice resonated with optimism, ""Imagine—forming a rapport with a consciousness separate from our reality; we're drafting the bridge to stars alive with minds!"" + +The sentiment hung for a moment before Alex gathered his conviction. ""Dialogue is our vessel. We are not just agents of enigma; we are the threads that may weave a new cosmic relationship."" His words seemed to reflect off the walls, reaching beyond the room's confines, a quiet yet resilient vow. + +Their task was titanic, stepping stones laid delicately into new territories of existence. The signal, once an esoteric strand in the echo of the universe, beckoned now with a clarity rocketing the complexity of thoughts from a distant order. + +Action by action, the Paranormal Military Squad team bridged the vast interstellar distances, their expertise and empathy casting a beacon of unity into frontiers of intelligence and knowledge. Their work, a partnership struck with an unseen cosmic congregation, each pulse sent and received a line in Earth's novitiate envoi to the cosmic shores. + +\* + +Under the stark, unforgiving lights of Dulce Base's underground command center, tension buzzed harder than the banks of supercomputers that lined the walls. Agent Alex Mercer leaned over the shoulder of Jordan Hayes, whose eyes were locked onto the display screen, where an incomprehensible series of alien symbols streamed past incessantly. + +“Any progress on the decryption?” Alex's voice was steady, a controlled presence necessary in the gravity of their undertaking. + +Jordan tapped a key, pausing the flow of code, and leaned back with a deep sigh. ""We've broken through another subset of the cipher. It's revealing... well, indications of a complex society, not unlike our own."" His eyes met Alex's with an unspoken question that hung heavily between them—were they truly prepared for what they might find? + +Taylor Cruz strode into the room, a tightly coiled spring of ambition and authority, and peered at the screen. ""Understand their society, and we may predict behavior. Remain expedient—we don't know how much time we have before the situation shifts."" There was an edge of stark realism to Taylor's words, the underlying message clear: every revelation bore its own set of risks. + +Alex nodded thoughtfully, recognizing the validity of Cruz's caution. Turning to Sam, who was tinkering with a device that buzzed quietly on the table, he asked, “Sam, can your contraption get us any further?” + +Sam looked up with a smirk, a twinkle of mischief in their eye. “It’s not just any contraption, it’s potentially a direct line to their thoughts. Give me a moment more, and I'll have something for you.” + +The air ticked with electronic beeps and the rustling sound of the Paranormal Military Squad team at work. They were so close to peering into the intelligence of an alien race—a reality on the brink of dramatically expanding their understanding of the universe. + +The machinery whirred in response to Sam’s precise touches, and suddenly, the room filled with a low hum—something had changed, a signal had been successfully sent. The team held their breath as they listened. The sound that filled the room was unmistakable: a response, an alien voice filtered through the static of space and time. + +Alex exchanged a look of quiet triumph with Jordan. The breakthrough was monumental; they were no longer casting messages into the void but engaged in a dialogue—an exchange that marked the beginning of Operation: Dulce’s true unfolding. This was it, the first steps into an interstellar odyssey that demanded every ounce of their courage and wit." +"## Chapter 13 + +Dr. Jordan Hayes shuffled a stack of papers, their eyes revealing a tinge of skepticism at Taylor Cruz's authoritarian performance. _Protocols_, Jordan thought, _are just the framework, the true challenges we're about to face lie well beyond the boundaries of any protocol._ They cleared their throat before speaking, tone cautious yet firm, ""Let's remember, the unknown variables exceed the known. We should remain adaptive."" + +A murmur of agreement echoed from Sam Rivera, who leaned forward, lacing their fingers together as if weaving a digital framework in the air before them, ""Exactly, adaptability could be the key to interpreting the signal distortions and system malfunctions. We shouldn't discount the… erratic."" + +Their words hung like an electric charge in the room, challenging Taylor's position with an inherent truth. Cruz’s jaw tightened almost imperceptibly, but the agent masked it with a small nod, conceding to the omnipresent threat of the unpredictable. + +Alex glanced at Jordan, who never looked back, their gaze fixed instead on a distant point, as if envisioning the immense dark corridors they were soon to navigate in Dulce. Jordan was not one to embrace fantastical theories, but the air of cautious calculation betrayed a mind bracing for confrontation with the inexplicable, an internal battle between the evidence of their research and the calculating skepticism that kept them alive in their field. + +The meeting adjourned with no further comments, the team members quietly retreading the paths to their personal preparations. Alex, trailing slightly behind, observed the others. _The cautious reserve Jordan wears like armor doesn't fool me_, he thought, _their analytical mind sees the patterns I do. And that's worth more than protocol. That's the connection we need to survive this._ + +As the agents dispersed into the labyrinth of the facility, lost in their thoughts and preparations, the base's halogen lights flickered, a brief and unnoticed harbingers of the darkness to come. + +\* + +The gritty, wind-tossed surface of New Mexico, just above the cavernous domain of Dulce Base, offered no shelter from the burgeoning storm—the scouring sands an earthly reminder of chaos theories in motion. Far beneath, a similar maelstrom brewed within the confines of the command center, as Paranormal Military Squad's handpicked squad stood poised for potential enormities of contact. + +Ruffling through printed transmission logs, Jordan Hayes dialed the focus of their analytical prowess onto the emerging pattern of signals crisscrossing between Earth and the unfathomable. ""Our responses so far have echoed their complexity, but the real divergence is yet to come,"" Jordan remarked stoically, the calm belying the mounting surge of adrenaline for the revelation ahead. + +Alex Mercer's figure, a silhouette sharpened by the purpose, loomed at the periphery of the monitors' sickly glow. ""Indeed,"" he assented, ""The echoes are the easy part. It will be the introduction of our own, human variable that truly begins our dialogue."" + +Taylor Cruz, windowless command center notwithstanding, appeared as though they could feel the tempest above. Their eyes never left the monitors as they unspooled their hard wisdom. ""For all our advances, we find ourselves deciphering the swings and nuances of an interstellar pendulum. Predict its arc, and we may preempt the gravity of its message."" + +Amidst a chorus of bleeps and static, Sam Rivera's tech-clad hands moved rhythmically, their spirited approach to unruly streams of data bordering an intimate dance with entropy. ""Entropy that leads to discovery,"" Sam mused, responding to Taylor's metaphor. ""Each step into the unknown is a step away from precedent."" + +Alex, drawing near Jordan, spoke again, his voice now a thread woven through the very fabric of their operations. ""Let's be the cartographers of this new territory. Our initial shades of understanding could color the cosmos for generations to come."" + +Their gazes fell upon a screen as the latest transmission painted its digital blooms of alien script across the black. This time, the pattern wavered in an almost imperceptible fashion, a modification that whispered of active, alien thought awaiting their next move. A hush enveloped the Paranormal Military Squad ensemble, the gravity of the pathogen undeniable. They were about to issue a reply, one poised to reshape the very concept of humanity's outreach into the cosmos. + +The New Mexico desert's secrets were infamous, its storms a mere prelude to the revelations that the team—united in purpose—would unleash upon the world. The howling winds outside found their counterpart in the newfound resolve within, as Dulce's stalwart guardians readied themselves to send forth humanity's retort to the echoes from beyond. + +\* + +The cavernous control room, deeply entrenched beneath the desolate New Mexico terrain, held the Paranormal Military Squad team in intense focus; an island of calm amid the storm of cosmic dialectics. Dr. Jordan Hayes worked methodically, every keystroke an intricate step in their tenuous cosmic ballet. Suddenly, they paused, a signal pattern resonating from the screen. ""This is new; it's...inviting. It’s as if the signal is not just calling to us but weaving its intelligence through ours."" + +Alex Mercer scrutinized the shift in data. ""A confluence of minds, then. If we're to meet them halfway, Jordan, our reply must be both innovative and discerning,"" he proposed, a glimmer of profound curiosity behind his authoritative demeanor. + +Taylor Cruz, whose sharp eyes missed nothing, nodded from beside a secondary panel. ""Innovative, yes, but also defensive. This interaction is a razor’s edge, and we cannot afford to bleed before the unknown,"" Taylor reminded them, the metaphor a stark warning of potential dangers. + +Against the backdrop of their conversation, Sam Rivera’s youthful optimism cut through the tension. ""If they’re weaving through our intellect, then we've achieved something beyond first contact—we're at the genesis of interstellar symbiosis,"" they posited with a mix of reverence and excitement. + +Alex returned Sam’s smile with his own, tempered and faint, as he turned back to the task at hand. The magnitude of their mission extended beyond the fabric of the universe, an exploration into the threads that connected sentient beings across the vast expanse. “Let’s reply with our own woven tapestry of thought—delicate, but deliberate.” + +With renewed determination, the room came alive with an undercurrent of anticipation, its occupants charged with the potential of forging an alliance with the cosmos. Paranormal Military Squad's finest were no longer merely soldiers and scientists; they had become pioneers on the vanguard of humanity’s greatest odyssey. + +The New Mexican sands above, impassive to the change brewing underneath, stood as silent sentinels as Earth's emissaries crafted their response. A response that, composed with care and imbued with humanity's essence, reached into the void, connecting with an otherworldly intelligence that awaited their harmony in the cosmic conversation." +" +## Chapter 14 + +The command center of Dulce Base lay shrouded in shadows that seemed to claw at the edges of the dimly lit array of screens and consoles. Alex Mercer, focused and unwavering, watched as Dr. Jordan Hayes parsed the latest string of alien signals—a symphony of otherworldly communications that threatened to either enlighten or confound. + +""We’re encountering a paradigm shift with every transmission,"" Jordan Hayes murmured, the pulsing glow of the monitor painting their features with an almost spectral hue. ""This signal... it’s evolving, becoming denser, more sophisticated. As if it's growing alongside us—tandem evolution."" + +The air was electric, charged with the raw potential of uncharted discovery and laden with the gravity of existential risk. Taylor Cruz, who always seemed here to mold such gravity into actionable strategies, stepped forward. ""We must contain this evolution within parameters we can manage. We cannot be bystanders to an uncontrolled ascent of intelligence."" + +Sam Rivera, the youngest of the cohort, worked feverishly at their station. ""It's not just intelligence—these signals have rhythm, a kind of music suggesting not just evolution, but a dance! We're being invited to partake in the cosmos's ballet!"" they exclaimed, a touch of youthful exuberance breaking through the solemnity. + +Alex turned, facing his team, the stoic mask of command tempered by the perceptible flicker of awe in his gaze. ""Let this dance then be our dialogue. We will match their steps with prudent but daring measures—our humanity as our guide."" + +In the ensuing hours, the Paranormal Military Squad team forged a rhythm of their own, their collective expertise a beacon piercing through the fog of the unknown. The signal, increasingly intricate and seemingly conscious, now demanded not just observation but participation, an interstellar pas de deux that hummed with the promise and peril of first contact. + +Before them, the communications interface flickered to life with a received transmission—a resonant hum that seemed to vibrate through the very foundations of the base. They had successfully established a back-and-forth with whatever intelligence lay hidden among the stars. Every subsequent note they struck within the cosmic ether would come to define humanity's place within the galactic community—heralds of Earth's grand entrance into a universe far less silent than once perceived. + +\* + +In the concrete belly of Dulce Base, dimly lit by the jagged dance of fluorescent lights above, Sam Rivera perched on the edge of their seat, their eager fingers fluttering across an ancient keyboard. The stark, cold room—reminiscent of a time when covert operations and unspoken dread ruled supreme—now housed a peculiar blend of old-world machinery and sleek, modern interfaces. + +Alex Mercer, standing steadfast like a bridge between the enigmatic past and the unfathomable present, watched on. In his eyes flashed the foreboding excitement of change. ""Sam,"" he started, his voice steadfast, ""the patterns in these signals, what do they tell us about the nature of our... guest?"" + +Sam's eyes glimmered with something akin to thrill—or was it trepidation? ""It's like we're mirroring each other, evolving together through this.. dialogue. Like it knows us, understands us, and it's… learning."" + +Jordan Hayes, preoccupied at a nearby console, chimed in without lifting their gaze. ""It's a dialogue that transcends mere words, Alex. We're being woven into a narrative far grander than the sum of our known sciences."" + +Taylor Cruz, arms crossed, wore the heavy mantle of their skepticism comfortably. ""Keep theorizing,"" they interjected crisply, ""but remember the grounding reality of what we are part of here. This contact is a blade that cuts both ways."" + +In this cavern of history, voices both human and inhuman whispered secrets to those brave enough to listen. Each member present understood the gravity that pulled at their feet; no longer were they mere mortals shackled to their terrestrial plane. The digital pings and encrypted calls resonated with an implication of a cosmic agenda that would not be ignored. + +Jordan's fingers paused, hovering in hesitation. What ripple might the next keystroke send through the fabric of known existence? It was a step into the ballet of the infinite, where the Paranormal Military Squad team played their part in the waltz of wonders with an audience of stars. + +\*" +" +## Chapter 15 + +In the clandestine hush of Dulce Base's subterranean command center, the Paranormal Military Squad team had become a crucible for interstellar communication. Dr. Jordan Hayes' gaze lingered on the screen as they navigated through the convolution of alien code. Each character held the potential to unravel a new dimension of contact, and with Sam Rivera's keen interjection, they were crafting humanity's inaugural cosmological discourse. + +Alex Mercer peered over Jordan's shoulder, calculating the implications of every visual nuance that cascaded across the monitor. ""Look for consistency—any repeating motifs could signal a willingness to engage. We're drafting history with each exchange,"" he remarked, aware of the delicate balance between forging a bond and exposing vulnerabilities. + +Taylor Cruz, stoic and enigmatic, observed the interplay from the threshold, a silhouette against the machinery's luminescence. ""Remember, while we seek common ground, the foundation we stand upon remains Terra firma. Caution must temper our curiosity,"" they stated, their voice an anchor amidst the current of excitement. + +The command center buzzed with energy, rivaled only by the tempest overhead that concealed their operation. Sam, with swift dexterity, navigated the communications relay. ""Their signals resonate almost musically. It's as if they're composing a symphony, and we've been handed the baton to conduct the next movement,"" they offered, imbuing the scenario with a blend of scientific adventurism and poetic license. + +Amidst the whirring servers and the occasional flicker of emergency lighting, the essence of their mission transcended mere reconnaissance. They were humanity's elected envoys at the brink of a celestial alliance—or confrontation—with an audience as vast as the universe itself. + +Alex stepped back, his profile etched by the chamber's artificial day. ""Then let's ensure our contribution to this symphony harmonizes with theirs. It's time for humanity's voice to rise and be counted among the cosmic ensemble."" + +Under his directive, the Paranormal Military Squad team initiated their calculated response, weaving thoughts and theories into a digital overture aimed at the heart of alien intellect. As the digital stream punctured the endless night, each member of this clandestine group was acutely aware of the irrevocable step they undertook—bringing Earth into the pantheon of galactic entities designed to converse among the stars. + +\* + +Clusters of high-tech equipment bathed the Dulce underground command center in an eerie blue light. Sam Rivera's fingers flew across the keyboard, navigating an elaborate network of alien patterns. The very air seemed to pulse with the ebb and flow of cryptic communications reaching across the stars. ""I've got something!"" Sam's announcement tore through the focus in the room, drawing every pair of eyes to the torrent of symbols unraveling on the screen. + +With the pacing of a seasoned officer gauging the moment before action, Alex Mercer approached, his calm demeanor belying an acute awareness of the precipice on which they now stood. ""Define 'something,"" Alex prompted, reinforcing the need for clarity amidst the extraordinary. + +""It's repeating—a sequence that’s evolved with each interaction, almost as if it's... singing,"" Sam theorized, the awe in their voice reflecting the potential magnitude of their discovery. + +Jordan Hayes interjected from across the console, their eyes not leaving the display as they absorbed the new data. ""A cosmic vocalization, then,"" they mused, intrigued. ""A singularity in the signal that might represent a point of reference for both parties."" + +Taylor Cruz, hands clasped behind their back, regarded the unfolding scene, their own calculations etching lines of concern onto their stern visage. ""Or a beacon—a homing tune, calling out to something we might not be ready to greet,"" Taylor offered, voicing the group's unspoken apprehension. + +Alex's eyes locked on the screen, taking in the scope of what they were attempting to interpret. Drawing a deep breath, Alex gave a slight nod. ""If this is their song, then let us respond with ours. We've come this far by mirroring their signals, now let's engage in an interstellar duet, and see where the music leads us."" + +With the expectation of the significant achieving a crescendo, the members of Paranormal Military Squad huddled over their equipment—sages at the threshold of a potentially world-altering communion. The strange harmonies that reverberated through the command center suggested that their interlocutors were poised, waiting, perhaps even eager, for Earth's chorus to join the symphony. + +As the team initiated their reply, weaving humanity's own intricate melody into the vast cosmic dialogue, they each felt a profound change within—an evolution of purpose. They were not just messengers or investigators; they had become co-composers in a galactic orchestra, with the universe itself as their witness and concert hall. + +With the exchange of harmonious signals crawling through the vacuum of space, the Paranormal Military Squad operatives found themselves part of a bridging of minds—a realization that out there, among the vast arrays of stars and planets, harmony was the true universal language. + +\* + +The dim glow of monitors cast an otherworldly ambiance upon Dulce Base's command center, where Paranormal Military Squad's chosen stood huddled over their instruments, suspended at history's threshold. Codes—alien in origin and nature—were being deciphered by Dr. Jordan Hayes, whose countenance bore the marks of deep concentration. + +Alex Mercer, the bedrock upon which their team's resolve was founded, leaned in with an eagerness tempered by his chain of command. ""Jordan, we've invested our expertise into comprehending their patterns, but now we must also endeavor to understand their intent,"" he urged, his voice bearing the gravitas of their mission's potential consequences. + +At another console, Sam Rivera's youth did not betray their crucial role in the operation. With eyes alight, they mirrored the rapid computing before them. ""There's emotion here—complex, profound even. This isn't just the output of a cold machine; it's...sentience,"" Sam whispered, nearly drowned by the mechanical chorus around them. + +Jordan, without shifting focus from their work, replied, ""It's a sentience that—should we succeed here—ushers us into a new era of existence. The cadence of these signals,"" they tapped the screen with a flourish, ""could well be the heartbeat of this new dawn."" + +Taylor Cruz paused beside Mercer, their expression unreadable beneath the sterile light. ""And as it beats, we must gauge whether its rhythm bodes well for us, or spells our missteps. Courage must not blind us to the hazards intrinsic to such contact,"" Taylor cautioned, the sentinel within them ever alert. + +Alex nodded, a gesture that carried the weight of responsibility and a silent command: proceed, but with circumspection. They were not merely decoding a message; they were interpreting a dialogue across the celestial divide. + +The room fell into a rhythm akin to a well-conducted ensemble. Each member's expertise proved a critical note in the unfolding symphony. Their actions were now more than mere research or defense; they were the tentative overtures of humankind reaching out to grasp the vast unknown. + +Textures of sound meshed with the light from countless computations, the palpable anticipation of the agents at the edge of discovery cresting with an awareness that their work would reshape future chronicles. And when the response finally came—a signal piercing the deafening silence of uncertainty—all within Dulce's confines understood: the dawn of an interstellar continuum had just begun to break. + +\* + +In the sterile hum and flickering lights of Dulce Base's command center, the Paranormal Military Squad team stood as humanity's vanguard, verging on the brim of an intergalactic abyss. Dr. Jordan Hayes, analytical edges sharp, deciphered extraterrestrial patterns that bled across screens in enigmatic cascades—a daunting mosaic of potential threats and untapped wisdom. + +Agent Alex Mercer, the embodiment of focus and a steadfast nerve, observed the unfolding digital drama with the gravitas due a historic first contact. ""Let the data weave its narrative, Jordan,"" he instructed, a moderate undertone of exhilaration within his command. ""It's encoding more than information—it's outlining civilization."" + +Jordan absorbed the directive, their gaze unflinching from the screens, feeling the weight of their next move. ""The nuances here are extraordinary,"" they acknowledged. ""It paints a picture of a culture steeped in complexities we're only starting to fathom.” + +Taylor Cruz, stoicism personified yet not immune to the situation's gravity, chimed in. ""Understand it, but guard against it,"" they cautioned, bringing a sober prudence to the room. ""This culture, however advanced, remains an unknown quantity—an ocean of wonders and darkness with uncertain tides."" + +Sam Rivera, a visual contrast with wide eyes and restless hands, represented the other side of the room — intrigue and optimism against the drawn swords of precaution. “Think of it,” they proposed, voice bouncing with a rebellious upbeat timbre, “as the first act of a play written in constellations. We're setting the stage for a galactic narrative.” + +Each team member, in their way, was both actor and scribe in this moment of tense pageantry. Heavy with the presence of risk, the command center had become not just a room of computers and glass panels but a theater for performing the elaborate choreography of contact. + +Bound by resolve and curiosity, they proceeded, each data entry a trembling step onto the cosmic stage. And like all cautious pioneers edging into fertile but unnavigated lands, they understood: as they mapped the heavens, they were simultaneously mapping the furthest reaches of their own existential horizons. + +" \ No newline at end of file diff --git a/tests/fixtures/min-csv/input/dulce.txt b/tests/fixtures/min-csv/input/dulce.txt new file mode 100644 index 00000000..95c9e3cd --- /dev/null +++ b/tests/fixtures/min-csv/input/dulce.txt @@ -0,0 +1,970 @@ +# Operation: Dulce + +## Chapter 1 + +The thrumming of monitors cast a stark contrast to the rigid silence enveloping the group. Agent Alex Mercer, unfailingly determined on paper, seemed dwarfed by the enormity of the sterile briefing room where Paranormal Military Squad's elite convened. With dulled eyes, he scanned the projectors outlining their impending odyssey into Operation: Dulce. + +“I assume, Agent Mercer, you’re not having second thoughts?” It was Taylor Cruz’s voice, laced with an edge that demanded attention. + +Alex flickered a strained smile, still thumbing his folder's corner. "Of course not, Agent Cruz. Just trying to soak in all the details." The compliance in his tone was unsettling, even to himself. + +Jordan Hayes, perched on the opposite side of the table, narrowed their eyes but offered a supportive nod. "Details are imperative. We’ll need your clear-headedness down there, Mercer." + +A comfortable silence, the kind that threaded between veterans of shared secrets, lingered briefly before Sam Rivera, never one to submit to quiet, added, "I’ve combed through the last transmission logs. If anyone can make sense of the anomalies, it’s going to be the two of you." + +Taylor snorted dismissively. “Focus, people. We have protocols for a reason. Speculation is counter-productive.” The words 'counter-productive' seemed to hang in the air, a tacit reprimand directed at Alex. + +Feeling the weight of his compliance conflicting with his natural inclination to leave no stone unturned, Alex straightened in his seat. "I agree, Agent Cruz. Protocol is paramount," he said, meeting Taylor's steely gaze. It was an affirmation, but beneath it lay layers of unspoken complexities that would undoubtedly unwind with time. + +Alex's submission, though seemingly complete, didn't escape Jordan, who tilted their head ever so slightly, their eyes revealing a spark of understanding. They knew well enough the struggle of aligning personal convictions with overarching missions. As everyone began to collect their binders and prepare for departure, a quiet resolve took form within Alex, galvanized by the groundwork laid by their interactions. He may have spoken in compliance, but his determination had merely taken a subtler form — one that wouldn't surrender so easily to the forthcoming shadows. + +\* + +Dr. Jordan Hayes shuffled a stack of papers, their eyes revealing a tinge of skepticism at Taylor Cruz's authoritarian performance. _Protocols_, Jordan thought, _are just the framework, the true challenges we're about to face lie well beyond the boundaries of any protocol._ They cleared their throat before speaking, tone cautious yet firm, "Let's remember, the unknown variables exceed the known. We should remain adaptive." + +A murmur of agreement echoed from Sam Rivera, who leaned forward, lacing their fingers together as if weaving a digital framework in the air before them, "Exactly, adaptability could be the key to interpreting the signal distortions and system malfunctions. We shouldn't discount the… erratic." + +Their words hung like an electric charge in the room, challenging Taylor's position with an inherent truth. Cruz’s jaw tightened almost imperceptibly, but the agent masked it with a small nod, conceding to the omnipresent threat of the unpredictable. + +Alex glanced at Jordan, who never looked back, their gaze fixed instead on a distant point, as if envisioning the immense dark corridors they were soon to navigate in Dulce. Jordan was not one to embrace fantastical theories, but the air of cautious calculation betrayed a mind bracing for confrontation with the inexplicable, an internal battle between the evidence of their research and the calculating skepticism that kept them alive in their field. + +The meeting adjourned with no further comments, the team members quietly retreading the paths to their personal preparations. Alex, trailing slightly behind, observed the others. _The cautious reserve Jordan wears like armor doesn't fool me_, he thought, _their analytical mind sees the patterns I do. And that's worth more than protocol. That's the connection we need to survive this._ + +As the agents dispersed into the labyrinth of the facility, lost in their thoughts and preparations, the base's halogen lights flickered, a brief and unnoticed harbingers of the darkness to come. + +\* + +A deserted corridor inside the facility stretched before Taylor Cruz, each footstep rhythmic and precise. Cruz, ambitious and meticulous, eyed the troops passing by with a sardonic tilt of the lips. Obedience—it was as much a tool as any weapon in the arsenal, and Cruz wielded it masterfully. To them, it was another step toward unfettered power within the dark bowels of the military complex. + +Inside a secluded equipment bay, Cruz began checking over gear with mechanical efficiency. They traced fingers over the sleek surface of an encrypted radio transmitter. "If protocols are maintained," said Cruz aloud, rehearsing the speech for their subordinates, "not only will we re-establish a line of communication with Dulce, but we shall also illuminate the darkest secrets it conceals." + +Agent Hayes appeared in the doorway, arms crossed and a knowing glint in their eyes. "You do understand," Jordan began, the words measured and probing, "that once we're in the depths, rank gives way to survival instincts. It's not about commands—it's empowerment through trust." + +The sentiment snagged on Cruz's armor of confidence, probing at the insecurities festering beneath. Taylor offered a brief nod, perhaps too curt, but enough to acknowledge Jordan's point without yielding ground. "Trust," Cruz mused, "or the illusion thereof, is just as potent." + +Silence claimed the space between them, steeped in the reality of the unknown dangers lurking in the shadows of the mission. Cruz diligently returned to the equipment, the act a clear dismissal. + +Not much later, Cruz stood alone, the hollow echo of the bay a stark reminder of the isolation that power often wrought. With each checked box, their resolve steeled further, a silent vow to usher their team through the abyss—whatever it might hold—and emerge enshrined in the respect they so deeply craved. + +## Chapter 2 + +Sam Rivera sat alone in a cramped office, the hum of a dozen servers murmuring a digital lullaby in the background. Surrounded by the glow of multiple screens, their eyes danced across lines of code and intercepted comm signals from Dulce — a kaleidoscope of data that their curious and isolated mind hungered to decrypt. + +To an outsider, it might have looked like obsession, this fervent quest for answers. But to Sam, it was a dance — a give and take with the mysteries of the universe. Their fingers paused over the keyboard as they leaned back in the chair, whispering to thin air, "What secrets are you hiding from us?" + +The stillness of the room broke with the unexpected arrival of Alex Mercer, whose encroaching shadow loomed over Sam's workspace. The cybersecurity expert craned their neck upwards, met by the ever-so-slight furrow in Alex's brow. "Got a minute, Rivera?" + +"Always," Sam said, a smile surfacing as they swiveled to face their mentor more directly. _He has that look — like something's not sitting right with him,_ they noted inwardly. + +Alex hesitated, weighing his words carefully. "Our tech is top-tier, but the silence from Dulce... It's not just technology that will see us through, it's intuition and... trust." His gaze pierced through the digital haze, trying to instill something more profound than advice. + +Sam regarded Alex for a moment, the sincerity in his voice resonating with their own unspoken desire to prove their worth. "Intuition," they mirrored thoughtfully. "I guess sometimes the numbers don't have all the answers." + +Their shared silence held a newfound understanding, a recognition that between the ones and zeros, it was their combined human insights that might prevail against the impossible. As Alex turned to leave, Sam's eyes drifted back to the screens, now seeing them not as barriers to isolate behind, but as windows into the vast and enigmatic challenge that awaited their team. + +Outside the office, the persistent buzz of activity in the facility belied the unease that gripped its inhabitants. A restlessness that nibbled on the edges of reality, as though forewarning of the threshold they were soon to cross — from the known into the realm of cosmic secrets and silent threats. + +\* + +Shadows played against the walls of the cramped underground meeting room, where Alex Mercer stood gazing at the concealed elevator that would deliver them into the bowels of Dulce base. The air was thick, every breath laced with the weight of impending confrontation, the kind one feels when stepping into a legend. Though armed with an array of advanced weaponry and gear, there was an unshakeable sense that they were delving into a conflict where the physical might be of little consequence. + +"I know what you're thinking," Jordan Hayes remarked, approaching Mercer. Their voice was low, a blend of confidence and hidden apprehension. "This feels like more than a rescue or reconnaissance mission, doesn't it?" + +Alex turned, his features a mask of uneasy resolve. "It's like we're being pulled into someone else’s game. Not just observers or participants, but... pawns." + +Jordan gave a short nod, their analytical mind colliding with the uncertain dynamics of this operation. "I've felt that way since the briefing. Like there's a layer we’re not seeing. And yet, we have no choice but to play along." Their eyes locked with Alex's, silently exchanging a vow to remain vigilant. + +"You two need to cut the philosophical chatter. We have positions to secure," Taylor Cruz interjected sharply, stepping into their exchange. The authority in Taylor's voice brooked no argument; it was their way of pulling everyone back to the now. + +Alex's response was measured, more assertive than moments ago. "Acknowledged, Agent Cruz," he replied, his voice steadier, mirroring the transformation brewing within. He gripped his rifle with a newfound firmness. "Let's proceed." + +As they congregated at the elevator, a tension palpable, Sam Rivera piped in with a tone of balanced levity, "Hope everyone’s brought their good luck charms. Something tells me we’re going to need all the help we can get." + +Their laughter served as a brief respite from the gravity of their mission, a shared moment that reinforced their common humanity amidst the unknowable. Then, as one, they stepped into the elevator. The doors closed with a silent hiss, and they descended into the darkness together, aware that when they returned, if they returned, none of them would be the same. + +\* + +The sense of foreboding hung heavier than the darkness that the artificial lights of the elevator shaft failed to fully penetrate. The team was descending into the earth, carrying with them not only the weight of their equipment but also the silent pressure of the invisible war they were about to fight—a war that seemed to edge away from physicality and into the unnervingly psychological. + +As they descended, Dr. Jordan Hayes couldn't help but muse over the layers of data that could wait below, now almost longing for the comfort of empirical evidence. _To think that this reluctance to accept other possibilities may have been my biggest blind spot,_ Jordan contemplated, feeling the hard shell of skepticism begin to crack. + +Alex caught Jordan's reflective gaze and leaned in, his voice barely a murmur over the hum of the elevator. "Once we're down there, keep that analytical edge sharp. You see through the mazes of the unexplained better than anyone." + +The compliment was unexpected and weighed differently than praise from others. This was an acknowledgment from someone who stood on the front lines of the unknown with eyes wide open. "Thank you, Alex," Jordan said, the words carrying a trace of newfound assertiveness. "You can count on me." + +The exchange was cut short by a shudder that ran through the elevator, subtle, but enough to make them instinctively hold their breaths. It wasn't the mechanical stutter of old gears but a vibration that seemed to emanate from the very walls of the shaft—a whisper of something that defied natural explanation. + +Cruz was the first to react, all business despite the shadow that crossed their expression. "Systems check. Now," they barked out, masking the moment of disquiet with swift command. + +Every agent checked their gear, sending confirmation signals through their comms, creating a chorus of electronic beeps that promised readiness. But there was an unspoken question among them: was their technology, their weaponry, their protocols sufficient for what awaited them or merely a fragile comfort? + +Against the gravity of the silence that was once again closing in, Sam's voice crackled through, only half-jest. "I'd laugh if we run into Martians playing poker down there—just to lighten the mood, you know?" + +Despite—or perhaps because of—the oddity of the moment, this elicited a round of chuckles, an audible release of tension that ran counterpoint to the undercurrent of anxiety coursing through the team. + +As the elevator came to a halting, eerie calm at the sub-level, the group stepped off, finding themselves at the threshold of Dulce's mysterious halls. They stood in a tight pack, sharing a cautious glance before fanning out into the unknown, each one acutely aware that the truth was inevitably intertwined with danger. + +Into the depths of Dulce, the team advanced, their silence now a shared testament to the camaraderie born of facing the abyss together—and the steel resolve to uncover whatever horrors lay hidden in its shadows. + +\* + +The weight of the thick metal door closing behind them reverberated through the concrete hallway, marking the final threshold between the familiar world above and the strangeness that lay beneath. Dulce base, a name that had been whispered in the wind-blown deserts above and in the shadowed corners of conspiracy forums, now a tangible cold reality that they could touch — and that touched them back with a chill. + +Like lambs led to an altar of alien deities, so did Agents Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera proceed, their movements measured, their senses heightened. The air was still, almost respectful of the gravity of their presence. Their torch beams sliced through the darkness, uncovering steel doors with warnings that spoke of top secrets and mortal dangers. + +Taylor Cruz, stepping firmly into the role of de facto leader, set a brisk pace. "Eyes sharp, people. Comms check, every thirty seconds," Taylor ordered, their voice echoing slightly before being swallowed by the surrounding silence. + +Sam, fiddling with a handheld device aimed at detecting electronic anomalies, offered a murmured "Copy that," their usual buoyancy dimmed by the oppressive atmosphere. + +It was Jordan Hayes who paused at an innocuous looking panel, nondescript amongst the gauntlet of secured doorways. "Mercer, Rivera, come see this," Jordan’s voice was marked with a rare hint of urgency. + +Alex joined Jordan's side, examining the panel which, at a mere glance, seemed just another part of the base's infrastructure. Yet, to the trained eye, it appeared out of place—a facade. + +Jordan explained their reasoning as Sam approached, instinctively understanding the significance of what lay beneath, "This panel is a recent addition — covering something they didn't want found." + +Before Alex could respond, the soft whir of an approaching drone cut through their muffled exchange. Taylor had looped back upon hearing the commotion. "Explanations later. We can't afford to attract..." Cruz’s voice trailed off as the small airborne device came into view, its sensors locked onto the group. + +Sam was the first to react, their tech-savvy mind already steps ahead. "I've got this," they declared, fingers flying over the controls of their own gadgetry to ward off the impending threat. + +The drone lingered, its scan seeming more curious than hostile. But within moments, courtesy of Sam's interference, the little sentinel drifted away, retreating into the shadows as if accepting a silent truce. The crew exhaled, a moment of collective relief palpable in the air. + +Cruz squared their shoulders, clearly ruffled but not conceding any ground. "Move out," they directed, a hint more forceful than before. "And Rivera, keep that trick handy." + +The team pressed onward, the quiet now filled with the soft beeps of regular comms checks, their pace undeterred by the confrontation. Yet, every agent held a renewed sense of wariness, their trust in one another deepening with the knowledge that the base—its technology, its secrets—was alive in a way they hadn't fully anticipated. + +As they converged upon a central hub, the imposing doors to the mainframe room stood ajar — an invitation or a trap, neither option comforting. Without a word, they fortified their resolve and stepped through the threshold, where the dim glow of operational LED lights and the distant hum of machinery hinted at Dulce’s still-beating heart. + +Solemnly, yet unmistakably together, they moved deeper into the heart of the enigma, ready to unmask the lifeforce of Dulce base or confront whatever existential threat lay in wait. It was in that unwavering march towards the unknown that their destinies were forever cemented to the legacy of Operation: Dulce. + +## Chapter 3 + +The thrumming of monitors cast a stark contrast to the rigid silence enveloping the group. Agent Alex Mercer, unfailingly determined on paper, seemed dwarfed by the enormity of the sterile briefing room where Paranormal Military Squad's elite convened. With dulled eyes, he scanned the projectors outlining their impending odyssey into Operation: Dulce. + +\* + +The cooling vents hummed in a monotonous drone, but it was the crackle of the comms system coming to life that cut through the lab’s tension. Dr. Jordan Hayes hovered over a table arrayed with alien technology, their fingers delicately probing the enigmatic circuitry retrieved from the crash site. Agent Alex Mercer watched, admiration blooming in silent solidarity for Jordan's deft touch and unspoken drive. + +Jordan, always composed, only allowed the faintest furrow of concentration to mar their brow. "What we understand about physics..." they muttered, trailing off as they realigned a translucent component. The device emitted a low pulse, causing Jordan to still. "Could be fundamentally changed by this." + +A calculated risk—that's what this was. And for a person of science, a gamble was worth the potential paradigm shift. + +"I’ve been thinking," Alex started, his eyes still fixed on the immediately tangible mystery before them. "About what’s at stake here. Not the mission parameters, but what this means for us—humanity." + +Jordan glanced up, meeting his eyes just long enough to convey the shared enormity of their situation; the career-defining glory and existential dread entwined. "The quest for understanding always comes at a price. We're standing on the precipice of knowledge that could either elevate us or condemn us." + +The charged air between them spiked as Taylor Cruz’s brusque tones sliced through their reverie. "Hayes, Mercer, this isn't philosophy hour. Focus on the task. We need actionable intel, not daydreams." + +With a sound of restrained acknowledgment, Jordan returned their gaze to the device, while Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order. + +Then Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.” + +The underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce. + +It was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths and for different reasons. Yet, beneath the veneer of duty, the enticement of the vast unknown pulled them inexorably together, coalescing their distinct desires into a shared pulse of anticipation. + +Marshaled back to the moment by the blink of lights and whir of machinery, they refocused their efforts, each movement sharpened by the knowledge that beyond understanding the unearthly artifacts, they might be piecing together the future of their species. + +\* + +Amidst the sterility of the briefing room, the liminal space between the facts laid out and the hidden truths, sat Sam Rivera, his demeanor an artful balance of focus and a casual disguise of his razor-sharp talent with technology. Across from him, Alex Mercer lingered in thought, the mental cogs turning as each file on Dulce stirred more than curiosity—it beckoned to a past both honored and burdensome. + +"You've been quiet, Sam," Alex noted, catching the younger man's contemplative gaze. "Your take on these signal inconsistencies?" + +There was a respect in Alex's tone, though a respectful distance remained—a gulf of experience and a hint of protective mentorship that stood between them. Sam nodded, recognizing the space afforded to him, and he couldn't help but feel the weight of expectation pressing upon his shoulders. It wasn't just the mission that was immense, it was the trust being placed in him. + +"The patterns are... off," Sam admitted, hesitant but driven. "If I'm right, what we're looking at isn't random—it's a structured anomaly. We need to be ready for anything." + +Alex's eyes brightened with a subtle approval that crossed the distance like a silent nod. "Good. Keen eyes will keep us ahead—or at least not blindsided," he said, affirming the belief that inscribed Sam's role as more than the tech personnel—he was to be a guiding intellect in the heart of uncertainty. + +Their exchange was cut short by Taylor Cruz's abrupt arrival, his gait brimming with a robust confidence that veiled the sharp undercurrents of his striving nature. "Time to gear up. Dulce waits for no one," Taylor announced, his voice carrying an iron resolve that knew the costs of hesitation—though whether the cost was calculated in human or career terms was an ambiguity he wore like a badge of honor. + +As Sam and Alex nodded in unison, the icy chasm of hierarchy and cryptic protocols seemed momentarily to bridge over with an understanding—this mission was convergence, a nexus point that would challenge each of their motives and strength. + +They filed out of the briefing room, their footsteps synchronized, a rhythm that spoke volumes of the unknown cadence they would soon march to within the base's veins. For Alex Mercer, the link with Sam Rivera, though distant, was now poised with a mutuality ready to be tested; for Taylor Cruz, the initiative pulsed like a heartbeat, anticipation thinly veiled behind a mask of duty. + +In the midst of the descent, they were each alone yet irrevocably joined, stepping closer towards the volatile embrace of Operation: Dulce. + +## Chapter 4 + +The corridors of the Dulce military base were as silent as a tomb and twice as chilling. Alex Mercer walked with a surety that belied his bubbling undercurrents of doubt. The briefing had been definitive, sturdy pillars of facts and protocols, yet as he ventured deeper, the ominous atmosphere gnawed at him—a stark reminder of how much remained unknown. + +Jordan Hayes trailed a few steps behind, their detached exterior breaking for a moment as they caught up to Alex. "What's on your mind?" Jordan asked, their astuteness cutting through the unspoken tension. + +Alex glanced back at them. This place was a puzzle, a treacherous labyrinth where the walls whispered secrets, and among them, he sensed a call to question, to challenge the narrative they'd been sold. "The silence here... It's almost as if the base is waiting for something—or someone." + +"Just stay sharp, Mercer," Jordan cautioned, yet their eyes lingered on the quietude around them, conceiving the same shadow of doubt that unsettled Alex. + +Before they could delve into further discussion, the distinctive click of a safety catch echoed in the hollow space. Both agents turned to find Taylor Cruz standing resolute, primed for combat. Taylor's gaze was scrutinizing and cold, a stark contrast to the growing unease that smoldered silently amongst the rest. + +"Chatter is a liability," Taylor snapped, with a commanding flair that bordered on tyrannical. "We move forward, eyes open, mouths shut." + +Alex felt the tight grip of compliance strangle his gut, a lesson learned under the hard tutelage of rank and order. But here, in the bowels of Dulce, those instincts began to wane, the imperative to adhere now conflicting with the pressing urgency to confront the shadows they were enmeshed in. + +Then, unexpectedly, the lights flickered, a power fluctuation—or a sign? Alex's hand instinctively went to his sidearm, his mindset shifting from soldier to skeptic. The base, with its unyielding coldness, had just given them their first nudge into the realm of the speculative, an invitation to peel back the veneer of reality. + +"We should consider all possibilities," Alex murmured, more to himself than the others, his voice a barely audible breath against the sterile air of the complex. + +Taylor's posture stiffened at the challenge, yet their response was uncharacteristically reserved, notable in its lack of rebuke. "Agreed. For now, keep moving. But stay vigilant." + +A surprise—an echo of agreement from the last person Alex expected it from. And there it was, the glimpse of a wrinkle in the unyielding fabric of command, a hint that perhaps they were all starting to sense the strangeness that permeated this place. + +Progressing with determined steps, the trio moved deeper, silently acknowledging the evolution of their predicament. It was a small yet transformative concession to the unknown forces at play, an acknowledgment from each agent that, despite their disparate goals and ideals, the true nature of the Dulce base was an enigma that would forge new paths through their convictions. + +As they reached the central communications hub, the truth that awaited them lurked in the shadows, its eyes unseen but felt by all. The walls didn't just whisper now; they spoke in tones only the brave—or the foolish—would dare to listen to. + +\* + +The subterranean silence of Dulce was an oppressive entity of its own, wrapping the team in a cloak of uneasiness as they pressed on through the dimly lit corridor. Jordan Hayes found themselves contemplating the ramifications of each step taken into this suspended world, where the sterile air seemed to mock the gravity of their predicament. The closer they got to the communication hub, the more Jordan's mind wandered toward the realm of the inexplicable. + +Beside Jordan, Alex Mercer moved forward with deliberation, his gaze scanning the heavy utility doors they passed—one of which was partially ajar, beckoning them with its darkness. "After you, Dr. Hayes," Alex said, gesturing toward the mysterious opening. A hint of shared understanding passed between them; knowledge was the guiding star of this mission as much as confrontation or recovery. + +Jordan peered inside, the beam from their flashlight slicing through the obscurity. The room beyond was a chaotic cascade of papers, overturned furniture, and the particular kind of disorder born from hasty evacuation—or something far more sinister. + +"It's like they vanished in the middle of something urgent," Alex murmured, his voice tight with a mix of concern and anticipation. He began to sift through the scattered reports, each page a potential clue to the enigmatic silence that shrouded Dulce. + +Behind them, Taylor watched with a disciplined patience, their authority the foundation upon which the operation was built. Their voice cut into the stillness, a reminder of their presence, "Time is not our ally here." + +Drawing back from momentary distraction, Jordan acknowledged the wisdom in Taylor's words, yet could feel the shift in their stance—from skeptical, reserved analyst, to a proactive agent within the narrative. "You're right; these documents may hold critical insights. Let's collect what we can and analyze them properly." + +From the darkened hollows of the room, shadows seemed to cast subtle judgment as Alex and Jordan worked together with heightened urgency. Taylor, for once, didn't intervene but instead surveyed the entrance, their mind anticipating the unknown variables that lay ahead. + +Unexpectedly, a soft hiss emanated from a neglected terminal on the desk. Jordan's head snapped up, their heart rate accelerating at the potential ramifications. Without a word, they moved to the machine, hands driven by the newfound conviction that knowledge was more than power—it was survival. + +As Jordan began to extract what data they could from the terminal, the first comprehensible communication from the depths of Dulce in far too long crackled through: an automated distress marker, looping endlessly without further context. It was a revelation, one that reverberated through the group, confirming their fears and igniting an even greater need to press on. + +Watching Jordan's dogged determination, Alex witnessed the minor transformation in his colleague unfold—a shift from doubt to action, a sliver of belief in the possibilities beyond their rational understanding. This forge of resolve amidst the alien echoes of Dulce not only bonded them closer as a team but compelled them forward with a sharpened edge of responsibility to the truth, wherever it would lead. + +As they collected their findings and regrouped, the base around them imperceptibly changed, the air charged with the vibration of secrets poised on the brink of revelation. And in that charged silence, the group moved on, each now carrying pieces of a puzzle that would soon converge into a picture of galactic significance. + +\* + +In the chill of the cramped server room, the hum of machinery was the backbone to a symphony of data streams coursing through the air. Dr. Jordan Hayes, nerves alight with the mission's mounting unknowns, patched into the last known coordinates of the unsent distress broadcast they had uncovered. They were so close to the core now – to the truth behind the blackout – it was almost tangible. + +Beside them stood Agent Alex Mercer, ever the soldier, yet with eyes that betrayed an intellect craving to understand the murk beneath the surface. "Any progress, Dr. Hayes?" Alex queried, his voice betraying a subtle urgency. + +"Getting there," Jordan replied, fingers dancing across the keyboard. "Whoever sent this was cut off mid-transmission. It's as if Dulce itself swallowed the message whole." + +Taylor Cruz closed in, their frame casting a long shadow over the duo, evoking an almost palpable wall between them and the forward momentum of their mission. "Time is against us," Taylor intoned, more statement than threat. "What we uncover here determines our next course of action." + +Alex acknowledged Taylor with a brisk nod, his stance firm. Yet inwardly, the tightening grip he felt from Taylor's words couldn't throttle the swell of his own investigative instinct. His soldier's obedience had begun to war with the advocate's zeal for unveiling the dark heart of Dulce's secrets. + +And then, the unexpected occurred. The screens flashed in unison, spilling a discordant stream of symbols and images that defied immediate analysis. Jordan's breath caught – this was the response they had been fishing for, an alien communication protocol resonating just at the edge of human comprehension. + +Each member of the team felt it: a shift in the room’s very atmosphere, like a veil being drawn from their perception. Alex and Jordan stood still, absorbed in the bewilderment of contact, while Taylor, despite their authority, hesitated – a minor betrayal that unease was creeping into even their disciplined heart. + +"Thoughts, Rivera?" Taylor rallied, seeking the counsel of Sam Rivera, whose eyes were wide with exhilaration. + +Sam stepped forward, breaking the spell of stillness. "It's like nothing I've ever seen before, but I think I can bridge our systems to communicate," they declared, a wisp of optimism braiding their voice. They set about adapting their gear to transmute the foreign signals into something the team could dissect, their actions a testament to the mentorship and belief instilled in them by Mercer and the team. + +Taylor observed them, a cold calculation behind their facade, as they weighed the worth of this anomaly. It was a crossroad that potentially led to either monumental breakthrough or unprecedented catastrophe. "Once you've established a line, document everything. We can't afford to miss any detail," Taylor ordered, the words sharper than intended. + +The connection was made, and with trembling anticipation, the team listened as the first garbled outputs began to emerge, their very essence promising insights that could alter the course of history. It was an enigmatic dance with the unknown, the pulse of Dulce no longer just a place, but a herald to an alien register the team had yet to decipher. + +Together, they stood at the precipice of understanding, where the faint glow of their monitors cast more than just light – it cast the shadow of burgeoning transformation. It was in this moment, in the grasp of an extraterrestrial tongue, that the team, bound by a hunger for knowledge and the raw edge of survival, found their mission reframed from a search for answers to the articulation of a question humankind had yet to fully ask. + +Silent in their commune with the inexplicable frequency, they realized they were not merely investigators; they had become liaisons on behalf of Earth, interpreters of a cosmic message that could redefine their very existence. The implications loomed large, but now, they would not face them alone – they would face them as a united front, wrought together by the very mysteries that once drove them apart. + +## Chapter 5 + +Dr. Jordan Hayes clutched the edge of the briefing room table, their fingers white-knuckled against the laminate surface, as an array of constellations rotated on the projector—charts and graphs bleeding across the stars. In the dim room, nebulas and dark matter seemed within arm's reach, tangible yet unfathomable. + +Sam Rivera leaned back against the wall, arms crossed, gaze darting between the swirling cosmos and the faces of their companions. A taut line of concentration etched their young features, a mingling of fervent curiosity with the nascent understanding of the high stakes for which they played. + +Jordan's voice broke the profound silence. "The patterns in the signal disruptions sync with none other than zenithal star alignments. It's as if... as if these 'meet and greets' were scheduled, predestined by celestial mechanics." + +The statement hung heavy, daring the occupants of the room to unravel its implications. Alex Mercer, his prior military resolve momentarily suspended, absorbed the hypothesis with a visible hunger. "It's like we're adhering to an appointment we never knew we had," he murmured, his heart a drumbeat in his chest. + +Taylor Cruz snorted—a sound that clattered against the high concepts like a tumbledown shack in a futurist cityscape. Folding their arms, they glanced between the agents, their apprehension clad in the contempt of practicality. "What we need are facts, not mystic conjecture." + +Alex pivoted on his heel, facing Taylor squarely, and his voice found its edge of steel. "This isn't mysticism, Cruz. It's a hypothesis based on observed phenomena as unpredictable as the place we're standing in." + +Taylor's gaze never wavered, yet the slight twitch at the corner of their mouth belied their taut composure. "If there's a semblance of truth to it, then it's critical intel. But remember, we're not astrologers—we're soldiers and scientists." + +Jordan met Taylor’s gaze with a curt nod, accepting the caution even as the crucible of their intellect smoldered with the fervor of cosmic discovery. Their eyes flicked to Sam, whose steady presence and ready tech affirmed a burgeoning dynamic—the makings of a sentinel, standing guard over the threshold of human understanding and cosmic reality. + +With the projector casting pallid light over their features, each agent became a silhouette of purpose, shadows pillared against the backdrop of an endless universe. The story they were embroiled in would soon demand they plunge into darkness to retrieve the light of knowledge—a light that could very well redraw the shape of their world. + +They left the briefing room with a shared silence, each pondering the vast weave of celestial intent and terrestrial response, sensing that the galactic appointment to which they'd unwittingly RSVP’d was more insistent—and more threatening—than any operation they’d faced before. + +\* + +As the Paranormal Military Squad team convened in the heart of the Dulce military complex, an air of bristling expectation clung to the walls of the underground sanctum. Alex Mercer’s brow furrowed while watching his companions—Jordan Hayes, diligently setting up their makeshift lab station, and Sam Rivera meticulously checking the communication relays they had restored. Taylor Cruz observed with hawk-like focus, yet to betray the strain that their command posed on them. + +The gravity of the mission had shifted, deepened; each member of the team felt its pull, tethered to the understanding that they were now part of a larger narrative—a cosmic play with Earth as a stage and the human race unwitting actors. + +Jordan paused, a tension creeping across their shoulders as they aligned the satellite data with the alien message that had been decoded. "The instructions in this message," Jordan started, the timbre of their voice betraying their usual composure. "They're coordinates and... a warning." + +Sam leaned in, their eyes widening behind the glow of their laptop screen. "A warning? Like, ‘stay away from’, or ‘beware of’...?" Their words trailed off, uncertainty a new companion in their lexicon. + +Alex exhaled slowly, his mind racing to connect the dots. "It doesn't matter which," he said, decisive yet contemplative. "What matters is we understand intent. Are we being warned out of concern, or are we stumbling upon a threat?" + +Cruz’s iron-clad facade momentarily cracked, a fleeting glimpse of vulnerability flashing through their eyes. "We need to know if this entails additional risk to the operation," they said, directing their gaze specifically at Alex. "Mercer, I rely on you to keep the team grounded. No one goes off-course." + +Their reminder seemed both a command and a plea—rooted in an understanding that each member of the team now faced the duality of their roles, protectors of earthly secrets and heralds of potentially devastating revelations. + +Sam's fingers stilled mid-type, their task forgotten as they absorbed the weight of the unfolding reality. "We're the first line of defense... or detection," they mused half to themselves, a growing sense of agency within the larger play they were cast into. + +Jordan returned to the data, more resolute in their actions. The warning, whether cautionary or dire, was a beacon they no longer could ignore; its light casting aside shadows of doubt and igniting a collective purpose within the team. + +Alex watched Jordan and Sam, feeling a brotherhood in their shared quest. As Cruz paced, poised on the cusp of decisions that would mark their career and perhaps the fate of many, Alex knew the narrative had changed. They were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve. + +Tension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril. + +Their connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer’s latter instincts gained precedence— the team’s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly hierarchies but by the pulsing symphony of the universe itself. + +\* + +The desert night loomed eerily still as echoes of hidden activity reverberated deep beneath the bleak sands of New Mexico. Diverting his gaze from the array of sensors before him, Jordan Hayes allowed a rare breath, deep and anxious. Turning to Alex Mercer's focused silhouette, the nocturnal landscape illuminated softly by makeshift floodlights, Jordan felt the syncopated tempo of apprehension and exhilaration jockey for primacy within. + +"The closer we get to unlocking these messages, the more I feel like we're peeling back layers of reality itself," Jordan confided, eyes not leaving the monitors that presented a constellation of data points. + +"Yes," Alex replied, his voice steady as he considered the implications of their discovery. "And we have to be ready for whatever we find beneath those layers. Whether it's a breakthrough or a Pandora's Box." + +Silence settled between them, broken only by the occasional buzz of communications equipment attempting to bridge terrestrial and extraterrestrial intelligences. Tense moments drifted by, laden with the expectant weight of near breakthrough, when a soft chime signaled an incoming transmission -- a rare sound that set every agent on high alert. + +Absent was the voice of Washington or Paranormal Military Squad command. Instead, a rhythmic series of pulses and tones filled the air, deliberately patterned, unmistakably non-human. + +Sam Rivera adjusted the sensitivity of the decoding equipment, their hands shaking with anticipation as much as focus. "I have it!" they announced, the signal transforming under their expertise into a sequence of visual symbols on the screen before them. + +Their shared excitement was palpable, a kinetic force resonating between the team members as they crowded around the display. + +"What does it say?" Taylor Cruz demanded, the urgency in his tone scraping against the newfound wonderment. + +Interpreting the alien syntax required not only decoding but intuition and empathy. The words that emerged upon the screen were at once coherent and enigmatic: "*Voyage. Convergence. Peril.*" + +The stark simplicity of the message struck them collectively, a chill breeze wafting through their resolve. + +Alex stepped forward, piecing together the cryptic communication with a growing sense of obligation. "It’s a call to action," he deduced, "or possibly a summons." + +Jordan's gaze met Alex’s, both understanding that this was no longer an investigation or mere extraction of hidden truths. This was humanity's unwitting enlistment into a galactic dialogue that defied boundaries of nation, creed, or protocol. + +Sam's eyes were aglow, not with fear, but with the profound acceptance of inevitability that comes with groundbreaking revelation. Moreover, within Taylor's stern exterior churned the seed of reluctant admiration for the unclassified, the uncharted realms they were approaching. + +Together, they accepted the pivot in their mission, readjusting their objectives from exploration to engagement, and from isolation to a communal outreach beyond the stars. As dawn's first light threatened the horizon, it became clear that they were no longer merely operatives of a clandestine governmental faction—they were delegates on behalf of Earth, embarking on a voyage orchestrated by destinies unrelated to the mere geopolitics of their world. + +Turning to each other, their silhouettes sketched against the coming dawn, the agents recognized the transformation within and amongst them. They were bound by more than duty—they were intricately woven into the fabric of an unfolding cosmic opera, one in which they had been granted an undeniable role. And as they set course for the coordinates that beckoned them like a distant siren's call, it was with a solemn dedication to not only uncover the mysteries ahead but to navigate the convergence, and the peril, as unified emissaries of a world on the cusp of a broader understanding. + +\* + +Beneath the hum of the fluorescent lights and the vigilance of silent monitors, Alex Mercer stood with his team in the threshold of the base's command center, their faces etched with the fatigue of hours spent unraveling galactic mysteries. Jordan Hayes broke the stillness with a delicate fusion of disbelief and resolve. "The signal..." they began, their tone deliberate, "it’s evolving. It’s not just sending a message—it’s responding to us." + +Taylor Cruz leaned over the console, their eyes narrowing with intrigue and a flicker of unease, studying the alternating patterns on the screen. "Responding? Like it’s alive?" Taylor asked, a question that bordered on the edge of wonder and alarm. + +Sam Rivera’s gaze was locked onto their interface, a digital orchestra at their fingertips. "It could be some form of advanced AI. Or something else entirely," they contributed, a note of exhilaration betraying the gravity of the situation. + +Alex paced before the terminal, absorbing the enormity of their predicament. Their mission—once rooted in the solid ground of military discipline and covert operations—had transcended into an encounter of unprecedented import. "We need to be cautious," he advised, his voice a low rumble of cautious strategy. "If this signal is intelligent, how we interact with it could dictate the outcome of this entire operation." + +Jordan met Alex's gaze with a nod, the weight of the responsibility shared and accepted. "We have protocols for first contact, but nothing for... this," Jordan admitted. The room was gripped with tension, each breath seemingly louder than the last. + +Then, with a sudden burst that filled the command center, the signal coalesced into a clear and distinct pattern which replicated and expanded, its complexity revealing the hand—or mind—of an intelligent architect. + +Taylor's instinct for command surged forth. "Prepare to record and analyze. Whatever it is, we need to understand it—" But their words were cut short as the signal surged, enveloping the room in a brief, blinding cascade of light. + +In that pulse of brilliance, a shared revelation coursed through the team. The signal had become a bridge, an extension of unknown consciousness reaching towards them, testing, communicating, searching. + +Alex stepped back from the light, feeling a profound change unravelling within him. The path forward would not be one of confrontation or conquest, but of connection and comprehension. + +Jordan turned to Alex and Taylor, seeing in their faces a reflection of the same metamorphosis taking place within themselves—a movement from observers to participants, from agents to ambassadors. + +With a collective breath, the team faced the kaleidoscope of lights. The alien signal, once a harbinger of enigma, was now a catalyst for transformation—a symphony of light and sound that echoed the beginnings of a new relationship between humanity and the alien unknown. + +And so, with deliberate steps, Alex Mercer led his team into the luminous fray. Science, protocol, and survival instinct harmonized within them, each member poised on the cusp of a new chapter in human history. + +They were no longer merely the instruments of Paranormal Military Squad's will—they were the vanguard of humankind’s first definitive leap into the cosmic community. + +With the last echoes of the signal resonating in the control room, they each embraced the sequencing of the transmission, the dance of extraterrestrial light that now wrote itself into their story. The chapter of Operation: Dulce drew to a close, but the narrative of their destiny had only just begun. + +## Chapter 6 + +\* + +The cool darkness of the command center at Dulce base was a stark contrast to the brewing storm outside, where the unforgiving New Mexico desert winds whispered of the hidden truths that lay buried deep beneath its surface. Dr. Jordan Hayes sat, their eyes fixed on the readout, the frenetic dance of symbols and numbers reflecting off their determined face. They were on the cusp of an epiphany, teetering between the widely accepted laws of physics and the promise of a new cosmic paradigm. + +Alex Mercer watched from across the room, noting the subtle shifts in Jordan’s posture that belied a developing readiness to embrace the unbelievable. “Find something?” Alex’s question, asked with a blend of curiosity and solidarity, bridged the gap between a command and a genuine query among equals. + +Jordan's response was slow, measured against the magnitude of their analysis. “This isn’t random static. It’s a pattern - a repeated sequence phasing in and out but distinctly artificial.” Jordan turned away from the screen, locking eyes with Alex. “This could change everything.” + +Sam Rivera leaned in, their eyes alight with the fires of revelation and a quenchless thirst for understanding. “A pattern means intention. Could it be a message?” + +A figure emerged from the doorway, casting a long shadow into the room - Taylor Cruz. “Intentions can be friendly, or hostile. We shouldn’t forget that,” said Taylor, bringing a dose of their usual pragmatism into the heart of discovery. + +Alex acknowledged Taylor’s caution with a nod, understanding the need to keep their feet grounded even as their spirits soared toward the unknown. “Then let’s be the first to find out which it is." + +The team gathered around the monitors, the soft tapping of Jordan's keystrokes now punctuated by the occasional crackle of Sam's radio equipment. The sound was almost ritualistic, a prelude to humanity’s potential first, knowing foray into a larger universe. + +Jordan’s fingers paused, suspended in mid-air. The signal had evolved, becoming a beacon that somehow felt less alien and more familiar. It was as if the complexities of their message were unfolding into something more accessible, more terrestrial. + +A hushed excitement swept through the room. The transformation suggested an awareness on the part of the unknown senders; a finesse that spoke volumes about their capabilities and perhaps their intentions. + +With the growing realization that they were engaging with an intelligence far exceeding their previous understanding, the team prepared to reach back across the cosmic divide. Prepared or not, they were no longer bystanders in this galactic narrative. They were active correspondents in an exchange that transcended galaxies and welcomed them into an expansive, possibly fraught, interstellar conversation. + +\* + +Inside the cavernous central hub of Dulce military base, Dr. Jordan Hayes stood in near-darkness, surrounded by a nest of cables and monitors that buzzed with silent, cryptic life. Jordan's eyes narrowed to focus on the sequences that danced across the screen—patterns that could unravel the cosmic enigma surrounding them. + +Alex Mercer approached with his characteristic stride, a signal of reliability in the chaos. "Status report, Dr. Hayes?" he inquired, his voice low, almost blending into the soundscape of beeping consoles and swirling fans. + +"We're on the brink of unravelling the signal's origin," Jordan replied, the weight of implications heavy in their tone. "There's intelligence behind it, a thought process alien to our own." + +As if summoned by their analysis, Taylor Cruz approached with authority radiating from every pore. "Understand this, we need to know if it's friend or foe. Don't get wrapped up in the existential—our lives may depend on the answers you provide." + +Sam Rivera, their hands adroitly adjusting a device to fine-tune the signal, chimed in with optimism undercut by anxious anticipation. "We're deciphering the comm encryption. Soon, we'll have a channel open—not just listening in, but speaking back." + +Alex nodded his understanding, his strategic mind processing the tactical implications while grappling with the more profound humanistic impact. "When we do, we'll tread carefully, communicate with purpose," he reassured the team. + +The operation had evolved rapidly, from a stealthy incursion into a clandestine labyrinth to an exchange with an extraterrestrial intellect. Their earlier trepidation transformed into determined focus, as they prepared to extend humanity’s hand into the vast unknown. + +An alert on one of the monitor stations snapped the team into alarm. The signal had not simply been waiting—it had been calculating. Now, it reached its crescendo, demanding their attention with a provocative urgency. + +Jordan's fingers raced over the keyboard, their eyes simultaneously interpreting data and sharing directives. "It’s a linguistic lock, a test of comprehension. We crack this, we establish dialogue." + +Taylor's presence was a beacon of steely resolve. "Then let’s solve it. This is what we trained for—the unknown." + +Alex and Sam exchanged a look that telegraphed their shared determination—this was not only the mission they had trained for; it was the mission they had been destined for. + +Together, the Paranormal Military Squad team leaned into the challenge, their minds honing in on the complex patterns with a singular goal: to unlock the conversation with an intelligence that had already begun to shift the foundations of what they knew, or thought they knew, about the universe. + +In a symphony of clicks and murmurs, they worked, knowing they were about to make a giant leap not just for themselves or Paranormal Military Squad, but for all of humanity. As the final pieces fell into place, Dulce's militaristic silence was shattered by the sound of intergalactic contact—by the sound of history being made. + +## Chapter 7 + +In the enclosed space of Dulce’s command center, the air was thick with anticipation, each team member poised to tread the razor's edge between scientific breakthrough and galactic peril. Dr. Jordan Hayes focused intently on the screen, their fingers tapping a staccato rhythm against the keyboard as lines of alien code cascaded down the monitor. + +Alex Mercer's steely gaze surveyed the room, stopping on each member of his team. "Thoughts?" he asked, echoing the unspoken tension. His question, while directed at the group, lingered on Jordan—acknowledging their expertise and inviting collaboration rather than dictating orders. + +Jordan’s brow furrowed, an indicator of the mental gymnastics being performed. "It's unprecedented," they finally said, their voice a testament to the gravity of the moment. "Behavioral algorithms... if we're right, this code could reveal extraterrestrial thought patterns." + +Before anyone could react, Taylor Cruz interjected with the assertiveness of someone accustomed to commandeering the discourse. "Then let’s ensure we’re deciphering it correctly," Taylor stated, their tone suggesting they were still battling to maintain control over an increasingly alien situation. + +Sam Rivera hovered near the mainframe, youthful energy barely contained under the surface. "What if it’s more than just a message? What if they’re trying to extend consciousness across the stars?" + +The room fell into a contemplative silence, broken only by the hum of electronic equipment and the distant thud of secured doors locking in rhythm. The weight of responsibility rested on each agent's shoulders—a heaviness palpable in the air they shared. + +Alex stepped forward, reaching a subtle decision, one dictated by foresight and the humanity nestled at the core of their mission. "We approach with the aim to understand, not to confront," he said, softening his military bearing into a more diplomatic stance. + +Jordan nodded, appreciating the leadership that Alex displayed in the face of the unknown, and turned back to the cryptic data. Here, before them all, was a tangible piece of evidence—proof of an extraterrestrial sentience that had outreached the bounds of their expectations. + +Taylor took a breath, simultaneously exuding a sense of preparedness and venturing into the unknown alongside their peers. "Then let’s do what Paranormal Military Squad does best—investigate and adapt," Taylor added, finding comfort in the familiar even as they stood on the cusp of an unprecedented alchemy of science and mystery. + +The team leaned into their respective roles, driven by the urgency of the assignment and the pull of an insatiable curiosity. Sam offered a grin that belied the tension, a youthfulness that reminded them all of the profound excitement nested within the terror of the unknown. + +Quietly but resolutely, they turned back to their instruments, each of them a sentinel on the threshold of a new reality. The once implicit lines of command were now woven into a shared tapestry of hierarchy and camaraderie. As they danced with the unknown, they were beacons of sentient endeavor, casting the light of human consciousness into the vast darkness that called to them. + +\* + +\* + +Dulce Base's cavernous darkness was pierced by the sharp luminescence of monitors, casting an electric glow onto the faces of those who dared to unearth its secrets. Dr. Jordan Hayes stood motionless, eyes glazed in concentration, their mind a nexus where terrestrial science battled with celestial unknowns. + +Alex Mercer watched from a slight distance, the weight of command tangible upon his shoulders, though lightened by the shared burden now held amongst them. "We could be on the frontier of a new kind of diplomacy," he mused aloud, giving voice to the moment's gravity. + +At those words, Jordan's trance broke. "If that's the case, then these communications," Jordan motioned to the stream of data, "are our olive branch across the cosmos." + +Taylor Cruz, who paced with restless energy, halted and faced the team—his stoicism marred by the erratic dance of lights reflected in his eyes. "An olive branch, or an invitation to a battlefield?" he posed, ever the strategist, his words laced with a hint of cynicism. + +Sam Rivera, nestled amongst an array of equipment, licked their lips—a mixture of nerves and anticipation palpable. "We're mapping out something incredible here. Whether it's peace or war, we're the cartographers." + +Silence enveloped them like the expanse of space itself, each member contemplating the chasms they might bridge—or the abysses into which they might unwittingly descend. + +Alex's demeanor assumed a quiet resolve—the profound knowledge that this mission was as much about navigating uncharted philosophical territories as it was about ensuring survival. "Whichever it proves to be, we'll face it. Prepared, unified." + +A nod passed between Jordan and Alex, a silent exchange of mutual respect and shared mission. Sam, buoyed by the weighty encounters of the mind and machinery, entered keystrokes with a fervor that seemed to bring them ever closer to the alien mind. + +They stood there, the Paranormal Military Squad team, not just as guardians of homeworld secrets or as soldiers of clandestine wars, but as humankind's chosen few at the fulcrum of history—a history that was now unfolding to the rhythm of otherworldly codes. + +Each revelation, each parsed symbol, inched them toward the line between the earthly and otherworldly. And as they stood on this precipice of cosmic negotiations, it was clear the ensuing dialogue would not just shape the future of Paranormal Military Squad—it could very well redefine the parameters of human existence. + +\* + +The hum of advanced computational systems tingling with cryptic transmissions framed the ambiance of Dulce's mainframe chamber. Jordan Hayes, fingers hovering over a console dense with blinking lights, furrowed their brow as sequences of alien data streamed across the screen. + +Alex materialized behind them, his presence a stable beacon amidst the technological whirlwind. "Look for patterns, anomalies. Anything that might resemble a handshake protocol in their communications," he directed, his voice a low thrum, reverberating with cautious optimism. + +Jordan cast a glance over their shoulder, acknowledging Alex's contribution with the shared understanding of colleagues who had transcended mere professional acquaintance. "I’m isolating sequences that seem to recur with more intention than static. If these are their ‘handshakes,’ then we might just be making first contact," they remarked, their focus returning to the screen with renewed vigor. + +From the other end of the room, where shadows married the artificial light, Sam's voice crackled through the static of nearby speakers, "Don't forget the anomalies we detected earlier. Each one could be a word, a sentence, or even a concept untranslatable to our current understandings." + +Resolute, Taylor Cruz stood at Jordan's other side, a stoic figure wrestling with the implications of their mission. "Keep pursuing this line," Taylor instructed, an undercurrent of intensity carried forth in their otherwise composed demeanor. "And remember, this isn't just about making contact; it's about securing knowledge for humanity." + +Alex offered a nod that spoke volumes, conveying his understanding of the stakes at play. Here, in this chamber of possibility, the team's actions would determine if humanity stood at the brink of a new age of understanding or the onset of an unprecedented threat. + +Every second thrummed with significance as Jordan and Sam worked in tandem, each keystroke a foray into the unknown. Taylor observed with a commander's scrutiny, the gravity of their role sustaining them against the waves of ambiguity breaking against their resolve. + +Pivotal moments come rarely in the course of human events but here, amidst the electronic symphony of a stalwart command center, lay the incepting notes of a cosmic overture. The harmony between human and alien, between Paranormal Military Squad and the vast reaches of space, began its first tentative measures, with each member of the team a vital instrument in a celestial ensemble yet to be fully heard. + +\* + +The crisp air within the mainframe room of Dulce base seemed to hum with unspoken possibilities. Jordan Hayes was the centerpiece of focus, their hands dancing methodically over the console as streams of otherworldly code cascaded down monitors, each flicker a potential key to the cosmic doors they were inching open. + +Alex Mercer watched, posture relaxed but eyes sharp. "Remember, this could be our first introduction, maybe even our first impression," he said, mindful of the gravity carried by each action they made henceforth. + +A hint of a smile touched Jordan's face, a small acknowledgment of the monumental task at hand. "Understood. I'm balancing the signal's syntax with our algorithms. If we're interpreting this correctly, it could be... well, an invitation." + +Into the electric tension of the chamber walked Taylor Cruz, their silhouette a sharp contrast against the cool lighting, radiating a presence that spoke of command and chilly tenacity. "An invitation, or a challenge?” Taylor questioned, the weight of their suspicion casting a different tint on the cascading data. + +Sam Rivera, in a corner arrayed with sophisticated equipment, piped up, their voice a buoyant note amidst the tentative atmosphere. "Either way, it's a connection. One that we're uniquely positioned to navigate," they remarked with an air of optimism threading through the uncertainty. + +Alex channeled the strengths of his team into the core of their approach, his leadership adapting to the contours of an unprecedented scenario. "Cautious and curious," he reflected aloud, shaping a strategy that balanced their thirst for comprehension with the prudence required in addressing the unknown. + +Jordan, hands momentarily at rest, looked up. The signal was more than a sequence of bits and commands—it was a riddle wrapped in the depths of space-time, and they were on the cusp of parsing its meaning. + +Taylor, hardly a step away, nodded in silent agreement. The implications of their findings might very well direct the course of human destiny from this point onward. + +Finding a tempo among themselves, the Dulce team was a confluence of ambition and acumen, each member intuitive to the beats of discovery. The chamber around them held untold stories, secrets coaxed from the stars, that now, led by Paranormal Military Squad's finest, began to unravel. + +The future in those moments was unwritten, a narrative scribed not in the dust of desert confines, but in the potential for interstellar diplomacy and understanding. As they prepared to script humanity's next chapter, the room seemed to pulse with the heartbeat of a story far greater than the sum of its parts. + +## Chapter 8 + +The grit of an earthbound dust storm contrasted sharply with the pristine sterility of the underground command center. Alex Mercer, eyes set with fervent determination, stood over Jordan Hayes, whose fingers danced across the keyboard with rapid purpose. Monitoring the progression of alien code unraveling before them, Mercer spoke with a tempered urgency, "Keep it steady, Jordan. We might be initiating the first true interspecies communication bridge here. It's all about finesse now." + +Taylor Cruz, the embodiment of military precision, surveyed the room with a calculated gaze from their vigil beside an array of glimmering screens. "Remember, these could be delicate negotiations -- or coded threats. Stay sharp," Cruz added, their voice cool as polished steel. + +Jordan, with a silent nod, recognized the gravity of both stances. Gravitating between scientific acuity and diplomatic caution, they replied, "The sequence is aligning—syncing with our comms. It's looking more and more like direct engagement." + +Amid the banks of electronic machinery, the thrumming pulse of an impending interspecies signal exchange, Sam Rivera interjected with a youthful zeal that cut through the weighty atmosphere, "It's not just an exchange. It's a... symphony. It's as if they're teaching us their language through modulation." + +A moment of profound silence swept over the team. The isolation of their location, deep within the top-secret labyrinth of Dulce, became suffused with an almost palpable sense of historical significance. + +"Then our response needs to be equally symphonic," Alex uttered, contemplating the awe-inspiring transmutation of their task from a simple recovery mission to a full-blown cosmic concerto. + +With a renewed sense of wonder tempered by caution, the Paranormal Military Squad team found themselves harmonizing a delicate balance between envoys and interpreters. The long shadow cast by their duty was now illuminated by the brilliant glow of otherworldly dialogue. + +In this carefully orchestrated march towards the unknown, each individual's expertise became critical notes in a larger melody. The narrative of human achievement, so often defined by solitary pursuits, now emerged as a collaborative opus, each member of the team a maestro in their right. + +The protocols of encounters, the mathematics of languages, and the poetics of connection all fused into a singular moment of convergence. The echo of their efforts reverberated back to them, not through the cavernous base's concrete walls, but from light-years away, in the form of a reply, intangible yet infinitely profound. + +\* + +Amidst the hum of the supercomputers and the faint static from the scrambled transmissions, Alex Mercer cast a thoughtful glance across the dimly lit room toward where Dr. Jordan Hayes was methodically adjusting the archaic dials of the decryption machine. "Any progress?" he asked, his tone conveying both impatience and the deep-seated respect born from countless shared challenges. + +Jordan did not look up, their gaze remained locked on the flickering lights that represented a dialogue suspended between worlds. Their fingers ceased their dance, hovering meditatively over the controls. "We might be on the cusp of a breakthrough," Jordan suggested. "The signal... it's evolved. It's reflexive now, responsive in a way that suggests sentience." + +Taylor Cruz's familiar sharp strides approached the two, breaking the rhythm of soft beeps. "Responsive is good, if it means understanding," Taylor said, head tilted as they peered at the encryption data scrolling by. "But remember, comprehension can bring revelation or conflict." + +Sam Rivera’s youthful voice permeated the tension, brimming with an excitement edged by the enormity of what they faced. "If it's truly sentient, we're not just cracking a code; we're learning how to converse with an entirely new form of consciousness," they chimed in, the weight of history not lost on the zealous astrotechnician. + +Alex nodded, his thoughts alighting on potential strategies for navigating the conversation they were cultivating with the unfathomable. "We need to keep that conversation going, echo its patterns, and speak its language," he resolved, knowing the delicate nature of their work merited every ounce of their collective acumen. + +The chamber now was a crucible, forging within it the future narrative of human contact with the unknown. Every signal pulse they sent out was an invitation for understanding, and every echo back a step closer to bridging the cosmic divide. And so, together, they stood - agents in Paranormal Military Squad's clandestine ranks, united by purpose, sculpting humanity’s first sonnets into the void. + +\* + +#### Knowledge graph updates + +- (Jordan Hayes, Interprets, Communications as cosmic diplomacy, Moderate) + +- (Taylor Cruz, Questions, Potential aggressiveness of alien intent, Minor) + +- (Sam Rivera, Expresses, Optimism about forming a connection, Minor) + +- (Alex Mercer, Adopts, Balanced strategy for contact, Moderate) + +- (Paranormal Military Squad team, Navigates, Beats of cosmic discovery, Moderate) + +- (Paranormal Military Squad team, Prepares, To script humanity's interstellar narrative, Major) + +## Chapter 9 + +The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought. + +Dr. Jordan Hayes, whose hands had been steadfastly working the decryption algorithms, paused and looked up at Alex. "We're through the next layer of encryption," Jordan announced, a mixture of pride and gravitas in their tone. "It's communicating. It's... aware." + +A shadow momentarily clouded Alex's determined features—awareness implied so much more than mere intelligence. "Aware and reactive or aware and proactive?" he queried, his experience anticipating the pivotal importance of intention. + +"Unknown at this stage," Taylor Cruz interjected, looking up from a datasheet. "But I urge caution. We tread the line between breakthrough and disaster with each keystroke." + +Sam Rivera, ever the source of technological acumen, added their voice to the conversation. "The signal's adapting every time we interact with it. Like a conversation where both parties are learning each other's language in real time." + +Alex leaned in, rested a hand on Jordan's shoulder—a sign of companionship and an affirmation of trust. "Keep the communication channels open. But let no message, no pulse go unchecked. This could be our Rosetta Stone or our Tower of Babel." + +Silence fell over them, a momentary lull as each member of the team contemplated the historic weight of their task. Yet, it was impregnated with a tangible sense of excitement—a collective energy that thrummed through the air just as palpably as the electric current through the banks of machines surrounding them. + +They continued their work, squaring shoulders against the magnitude of their undertaking. The agents were standing not just at the precipice of a new chapter for Paranormal Military Squad but for all of humanity. For now, they communicated with powerful unknowns, but with each exchange, they were etching the first words of a dialogue that might forever alter humanity's place in the cosmos. + +\* + +\* + +The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought. + +Dr. Jordan Hayes, whose hands had been steadfastly working the decryption algorithms, paused and looked up at Alex. "We're through the next layer of encryption," Jordan announced, a mixture of pride and gravitas in their tone. "It's communicating. It's... aware." + +A shadow momentarily clouded Alex's determined features—awareness implied so much more than mere intelligence. "Aware and reactive or aware and proactive?" he queried, his experience anticipating the pivotal importance of intention. + +"Unknown at this stage," Taylor Cruz interjected, looking up from a datasheet. "But I urge caution. We tread the line between breakthrough and disaster with each keystroke." + +Sam Rivera, ever the source of technological acumen, added their voice to the conversation. "The signal's adapting every time we interact with it. Like a conversation where both parties are learning each other's language in real time." + +Alex leaned in, rested a hand on Jordan's shoulder—a sign of companionship and an affirmation of trust. "Keep the communication channels open. But let no message, no pulse go unchecked. This could be our Rosetta Stone or our Tower of Babel." + +Silence fell over them, a momentary lull as each member of the team contemplated the historic weight of their task. Yet, it was impregnated with a tangible sense of excitement—a collective energy that thrummed through the air just as palpably as the electric current through the banks of machines surrounding them. + +They continued their work, squaring shoulders against the magnitude of their undertaking. The agents were standing not just at the precipice of a new chapter for Paranormal Military Squad but for all of humanity. For now, they communicated with powerful unknowns, but with each exchange, they were etching the first words of a dialogue that might forever alter humanity's place in the cosmos. + +\* + +Alex Mercer's eyes were fixed on the monitors, the reflected light casting an ethereal glow across his stoic face. The room buzzed with tension, a cacophony of low hums and electronic beeps that underscored the historic nature of their actions. He moved to where Dr. Jordan Hayes was immersed in their work, scrutinizing the alien code streaming rapidly down the terminal. + +"Find anything that might look like an entry point or a... digital handshake?" Alex asked, his voice steady, betraying none of the tension gripping his chest. + +Jordan looked up briefly, their expression weary yet intense, "Potentially. It's as if the code is anticipating our input, modifying itself in real-time. I've never seen anything like it." + +From across the room, Taylor Cruz's sharp voice cut through the hum. "Then it's learning or, possibly worse, baiting us. Proceed with extreme caution," they commanded, their firm stance reinforcing the gravity of the situation. + +Sam Rivera, surrounded by a cascade of screens and interfaces, added, "It's almost organic in its complexity. Any minute now, and I might have a way in." + +A slight nod was Alex's immediate response, his mind racing through the potential scenarios. "Everyone, stay alert. This could be the beginning of something profound." His seasoned eyes never left the unfolding drama on the monitors. + +The room fell silent, the air heavy with unspoken questions. Were they mere moments away from unlocking an otherworldly dialogue? Or was it a Pandora's box that, once opened, could not be closed? + +Alex moved closer to the main console, his fingers hovering over the command keys. With the precision of a maestro orchestrating a symphony, he communicated silently with Jordan – respectful of their expertise, aware that the next move could alter the course of human history. + +Jordan met his gaze, nodding sharply, and refocused on the task. The signal seemed to pulse with sentient curiosity, drawing them further into its intricate web. + +A sudden flurry of alerts and the intensifying glow of monitors heralded that they had bridged a technological chasm. The alien intelligence on the other end was no longer a distant enigma – it was an active participant, responding to their digital overtures with an unknown agenda. + +The team's meticulous efforts had led them to a momentous threshold. Beyond lay unprecedented contact – a nexus of curiosity and potential peril. Within the confines of the base, against the backdrop of a silent desert night, the Paranormal Military Squad operatives became mediators of Earth's bid for cosmic relevance, their every action now a gesture in the grand dance of intergalactic relations. + +## Chapter 10 + +The corridors of the Dulce military base, now silent, echoed with a history of whispered conspiracies and furtive movements. But in the command center, a delicate tapestry of light and sound was being woven as the echoes of cosmic dialogue resonated through the high-tech enclave. Dr. Jordan Hayes, now leading the efforts, called out from their workstation, "I’ve isolated the signal's harmonics. It's more than a call; it's a song, an interstellar siren’s call." + +Alex Mercer, steady and resilient in the face of the incomprehensible, acknowledged with a quiet nod, "A song that we need to learn—quickly." His eyes, heavy with responsibility, scanned the room, watching his team work tirelessly at the intersection of science and speculation. + +Sam Rivera, dulled by fatigue yet driven by unshakeable resolve, manipulated a complex array of audio interfaces. "There's a pattern, a repeating motif. It's structured, intentional," they muttered, their revelation a bridge between the known and the unimaginable. + +Taylor Cruz, a figure of central authority, paced the length of the room, their usual unflappable demeanor betraying a rare flicker of apprehension. "We should be wary of the sirens’ call," Taylor interjected, invoking myths of old as a cautionary metaphor. "We don't want to crash upon unseen shores." + +Undeterred, Jordan cast a determined glance at the team. "We navigate by starlight now, not by the limited light of our previous understanding." Their voice was a beacon, charting a course through unchartered realities. + +Every individual was acutely aware that each moment in that room was a conduit to an epochal shift for civilization. The mysterious signals, once distant and alien, had coalesced into complex and harmonious oscillations—beacons of an extraterrestrial intellect inviting Earth to join in a cosmic consortium. + +Silently, Alex approached the mainframe, his trained fingers aligning with the console’s mechanisms. The room watched in collective breathlessness as he set the frequency in motion, an introductory phrase to an otherworldly melody—a symphony that could bind worlds or spell devastation for all they knew. + +In the control room of Dulce, amongst whispered legends and the quiet hum of machines, humanity's ambassadors now stood, stretching their hands into the void, reaching for the hand that would either pull them into the light of new stars or into the maw of darkness between them. + +\* + +Underground, the Dulce facility's command center was awash with frenetic energy, a stark juxtaposition against the silent, decrepit corridors that enveloped them. The air hummed with anticipation as Dr. Jordan Hayes and Alex Mercer hunched over a console. The sterile light from the monitors cast an otherworldly glow upon their faces, now reflecting a mosaic of alien characters rapidly translating across the screen. + +"The patterns are evolving," Jordan murmured, concentration etched into their every feature. "It’s as if our attempts to decrypt have accelerated its learning. It’s adapting to us." + +Alex, who stood steadfast behind Jordan, felt a tinge of uncharted fear quickly quelled by the fire of discovery raging within him. "Keep it up," he urged. "But whatever this is becoming, we need to ensure it remains within our control." + +Taylor Cruz interjected, their voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data. + +"It's like it's learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives ‘talking to strangers’ a whole new meaning." + +Alex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back." + +Together, they stood on the edge of the unknown, forging humanity’s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history. + +The encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation of their investigative strategies. The air turned heavy with the scent of electricity and ambition as they closed in on a pivotal response. + +As the signal’s intelligence—whether artificial or biological—grew more profound, so too did the realization that their mission had morphed from passive observation to active engagement. There was no turning back now. Each agent embraced their part in the delicate dance of an interstellar exchange that could change everything they thought they knew about life, intelligence, and the dark void beyond Earth's atmosphere. + +\* + +The underground halls of Dulce Base, usually buzzing with covert operations, now thrummed with a different kind of energy, an electric mix of fear and fascination. At the heart of the base, in a room shielded from the world’s eyes, Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera huddled around a bank of monitors. Each screen flickered erratically with the alien script that had become the center of their lives—and perhaps the pivot on which humanity’s future would turn. + +Jordan's eyes never wavered from the displays, their expression was one of rapt concentration, interspersed with flashes of revelation. "We're conversing with the stars," they whispered, almost to themselves. The words hung in the air, a testament to the awe-inspiring strangeness of the situation. + +"The language is morphing; changing its structure with every exchange we have," Sam chimed in, enthusiasm tinged with the solemnity of the occasion. "It's like witnessing the birth of a new form of dialogue—one that spans galaxies." + +Taylor, despite the situation's precariousness, maintained an appearance of ironclad composure. "Keep the communication stream secured and monitored. We don't know what we're dealing with yet," they reminded the team, a bastion of protocol amidst uncertainty. + +Alex watched his team expand the parameters of human achievement; their work here would possibly define an era. "This is untrodden territory," he acknowledged, "and in every word we script, in every response we decode, we're drawing a map that others will follow." + +Jordan turned to Alex, a nod acknowledging the shared responsibility of this moment. They had embarked on a new voyage, an odyssey not of the body, but of the intellect and spirit. No longer explorers of the Earthly realm, they had been promoted by circumstance to ambassadors of humanity in a silent and boundless ocean. + +A sudden pulse of energy from the monitors signaled a breakthrough; the language had not only adapted but it seemed to resonate, to harmonize with their attempts at making contact. The alien script now sprawled across the screens didn't just ask to be understood—it invited interpretation, collaboration, maybe even companionship across the cold distances of space. + +As they stood before the precipice of first contact, Paranormal Military Squad's finest became the architects of a symphony meant to echo through the cosmos. But more than architects, they were the first to play the notes of this cosmic composition, daring to believe that on the other end, someone—or something—might be listening, ready to join the chorus. + +\* + +The underground command center of Dulce Base, once pulsing with clandestine operations, now resonated with the charge of an impending cosmic threshold. Encircled by banks of whirring machinery, each monitor flickered erratically with alien script that had occupied center stage in the lives of Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera. + +Jordan's gaze didn’t flit for even a moment from the screens, where indiscernible alien messages ebbed and flowed like the tide. The ciphers and symbols cascaded down as they tweaked the algorithmic sliders. "This sequence here," Jordan began, voice both hushed and heavy, "it’s not just transmitting; it resonates—it's designed to be felt." + +The room took a collective breath, the remarkable implication hanging in the air like a careful revelation. Sam Rivera was the first to respond, their voice alive with ingenuity: "It's a form of communication stretching well beyond words. We need to respond in kind—the whole array of human expression might be at play here." + +Taylor's eyes remained fixed on the figures playing across the data sheets. "If that's the case," Taylor intoned pragmatically, "we must tread carefully. This is no longer just about being heard—it's about being understood." + +Alex watched his team, each a fulcrum of insight and expertise, and felt the solemnity of the role they were about to assume. "Then we'll ensure our message is clear and full. Our humanity is our strength in this dialogue," he declared, the depths of his experience fueling a commanding reassurance. + +The anticipation was palpable as the agents contemplated the vastness of their endeavor. They were not merely probing at the secrets of the planar cosmos—they were negotiating across the starry expanse, extending to distant intelligences the full spectrum of human curiosity and compassion. + +A symphony of beeping consoles orchestrated their next steps as they prepared to articulate their interplanetary overture. The rhythmic tapping of Jordan's keystrokes set the tempo for an undertaking that traversed beyond algorithms and encryption. + +The base withstood time and whispered secrets of its own, but none so grand as this moment of creation—an invitation to the universe that promised to echo through both the echoes of space and the annals of human history. + +## Chapter 11 + +The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought. + +\* + +The thrum of the colossal machinery vibrated through the subterranean facility as Alex Mercer stood amidst the whispers of technology, each carrying voices from worlds apart. He watched as Sam Rivera adjusted a complex array of cosmic translators, their expression a mixture of anticipation and awe. + +"Are we ready, Mercer?" Taylor Cruz asked, the soft glow of the command center consoles reflecting upon their stern face. + +Alex turned towards Taylor, his eyes holding a depth that betrayed the enormity of the threshold they were about to cross. "This is it," he said. "Initiate the protocol. It's time we answer the cosmos." + +Jordan Hayes, stationed at the mainframe, typed rhythmically, a blue hue painting their focused features. The eerie silence that had settled over the team was interrupted by a visceral sound—humankind's response to the alien dialogue, now streaming into the abyss. + +The control room, once a fortress of solitude, erupted into an oasis of life. Lights flickered in tandem, echoing the symphony of interstellar communication. They stood together at the edge of discovery, facing the symmetry and discord of a universe unknown. + +"If we're right, we've just become Earth's first emissaries to a celestial congress we're only beginning to comprehend," Jordan's voice was somber, resonating with a mix of trepidation and honor. + +The room filled with the resonance of human and alien minds converging, creating a new narrative within the fathomless expanse of existence. Paranormal Military Squad, once protectors of Earth's clandestine secrets, had now become the tether linking humanity to the cosmic fold. + +\* + +The underground command center of Dulce Base, once pulsing with covert operations, now resonated with the charge of an impending cosmic threshold. Encircled by banks of whirring machinery, each monitor flickered erratically with alien script that had occupied center stage in the lives of Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera. + +Jordan's gaze didn’t flit for even a moment from the screens, where indiscernible alien messages ebbed and flowed like the tide. The ciphers and symbols cascaded down as they tweaked the algorithmic sliders. "This sequence here," Jordan began, voice both hushed and heavy, "it’s not just transmitting; it resonates—it's designed to be felt." + +The room took a collective breath, the remarkable implication hanging in the air like a careful revelation. Sam Rivera was the first to respond, their voice alive with ingenuity: "It's a form of communication stretching well beyond words. We need to respond in kind—the whole array of human expression might be at play here." + +Taylor's eyes remained fixed on the figures playing across the data sheets. "If that's the case," Taylor intoned pragmatically, "we must tread carefully. This is no longer just about being heard—it's about being understood." + +Alex watched his team, each a fulcrum of insight and expertise, and felt the solemnity of the role they were about to assume. "Then we'll ensure our message is clear and full. Our humanity is our strength in this dialogue," he declared, the depths of his experience fueling a commanding reassurance. + +The anticipation was palpable as the agents contemplated the vastness of their endeavor. They were not merely probing at the secrets of the planar cosmos—they were negotiating across the starry expanse, extending to distant intelligences the full spectrum of human curiosity and compassion. + +A symphony of beeping consoles orchestrated their next steps as they prepared to articulate their interplanetary overture. The rhythmic tapping of Jordan's keystrokes set the tempo for an undertaking that traversed beyond algorithms and encryption. + +The base withstood time and whispered secrets of its own, but none so grand as this moment of creation—an invitation to the universe that promised to echo through both the echoes of space and the annals of human history. + +## Chapter 12 + +The underground facility of Dulce Base, once shrouded in silence and operational secrecy, now hummed with an energy that cradled the promise of cosmic revelation. Alex Mercer stood pensively by the central terminal, flanked by Dr. Jordan Hayes, Taylor Cruz, and Sam Rivera, each poised at the edge of a history-defining moment. + +Jordan's fingers ghosted across the console, tracing patterns of otherworldly origin. "The signal’s architecture is becoming more complex, resembling aspects of human cognition—recognition, learning, even... empathy?" they postulated with furrowed concern. + +Alex turned his gaze upon Jordan, his voice quiet but resolute, "Empathy could bridge galaxies. Let's harness this connection and proceed with cautious optimism." + +Taylor, ever the sober sentinel, projected a more pragmatic standpoint. "Empathy or not, we are duty-bound to assess the risk to humanity. Every new discovery warrants a measured response." + +The static hiss of communications equipment filled the air, its purpose now transformed into a dialogue with an intelligence beyond the stars. It was Sam, wide-eyed amid the myriad lights and switches, who broke the silence, "We have provisional confirmation of the signal’s intent—initiation. We’re being brought into a broader spectrum of cognizance." + +The chamber lay still for a heartbeat, the Paranormal Military Squad agents steeped in contemplation of the path unfurling before them—a path paved with possibilities of diplomacy or disruption, each step a venture further into the cosmic unknown. + +Alex stepped closer to the viewing monitors, each depicting alien symbols seemingly reaching out from the void. "Initiate the broadcast," he spoke with quiet command. "Our response will mark humanity’s readiness to partake in the wider conversation of conscious beings." + +Amidst the crackling air of expectation, the team wordlessly returned to their stations. They had transcended their roles as protectors of Earth's clandestine lore to become the harbingers of an interstellar parley that could change the existential course of life on their pale blue dot. + +The deep hum of the terminal emitted a signal—a testament to the uncanny reality that Earth was now actively partaking in an exchange not bound by gravity nor the limits of the solar wind. + +Here, in the depths of Dulce, a message from humanity woven from understanding and uncertainty was cast into the firmament, an epitheg of their desire to join the universal dialogue and discover their place among the constellations. + +\* + +The somber depths of the Dulce Base command center stood in stark counterpoint to the animated flurry of activity around the central comms array. Alex Mercer's silhouette loomed behind Dr. Jordan Hayes, who sat with a posture indicating laser focus on the decryption process. A quiet murmur of digital soundscape filled the space, subtly heightened by the anticipation of contact with an intelligence beyond the Earth. + +Jordan's voice was steady, betraying none of the extraordinary nature of their work, "Looking through the signal's pattern, it's evident we’re dealing with a form of intelligence—calculating, mirroring, possibly even understanding." + +Alex's reflection bounced off the darkened screens, his head nodding in silent affirmation. "We’re walking a delicate line. Our response should be thoughtful, measured. We’re ambassadors, not merely explorers." + +Taylor Cruz approached, arms folded, their words slicing through the din of careful keystrokes and soft whirrs, "If there’s even the slightest chance it understands, we can’t afford missteps. The language of the stars might be more absolute than ours." + +From another terminal, Sam Rivera brought youthful vigor to the conversation, "There’s rhythm in these patterns. If this is their way of reaching out, our reply should encapsulate all that we are—all that humanity stands for." + +Looking around at his team, Alex saw resolve etched on every face. The chamber, usually somber and echoing with the quiet steps of covert agents, now felt alive with the heartbeat of discovery. They were not just professionals operating in the gloom; they were a collective standing at the helm of a momentous journey. + +"Let’s begin," he said, returned by the resolve in his voice. "Every second counts." With that, they pressed forward, setting in motion a reply to a conversation billions of years in the making. + +The dance with an unseen partner commenced, each pulse they sent out a step taken with caution and hope. And as those digital pulses journeyed through the black sea of infinity, Earth, for perhaps the first time, joined a pan-galactic dialogue that whispered secrets of the cosmos—secrets that, until now, had been lost in the silent vastness of space. + +\* + +As the team stood in the centralized nerve center of Dulce's underground fortress, the solemn atmosphere was reverent, overseeing systems that engaged with an intelligence from the void. Alex's stance was contemplative as he gazed at Jordan Hayes, who presided over the console, the tension of the moment reaching a tactile fervor. Each rhythmic tap of Hayes's fingers on the keys was a foray into uncharted symphonies of contact. + +Observing Hayes unravel the dense alien encryption, Alex spoke, a diplomatic tenor underpinning his words, "Keep focused on the syntax, dissect its nuances. We're not just decoding signals; we're translating intentions." + +Without diverting from their task, Jordan acknowledged the insight. "Indeed, if their understanding of us is as deep as we hope, we're paving the way for dialogue far beyond our current realm." + +Taylor Cruz, near the rear of the room, provided a steady oversight. "As horizonless as our prospects may seem," Taylor intoned, "remain diligent. Complacency before alien cognition could spell catastrophe." + +Sam's youthful voice resonated with optimism, "Imagine—forming a rapport with a consciousness separate from our reality; we're drafting the bridge to stars alive with minds!" + +The sentiment hung for a moment before Alex gathered his conviction. "Dialogue is our vessel. We are not just agents of enigma; we are the threads that may weave a new cosmic relationship." His words seemed to reflect off the walls, reaching beyond the room's confines, a quiet yet resilient vow. + +Their task was titanic, stepping stones laid delicately into new territories of existence. The signal, once an esoteric strand in the echo of the universe, beckoned now with a clarity rocketing the complexity of thoughts from a distant order. + +Action by action, the Paranormal Military Squad team bridged the vast interstellar distances, their expertise and empathy casting a beacon of unity into frontiers of intelligence and knowledge. Their work, a partnership struck with an unseen cosmic congregation, each pulse sent and received a line in Earth's novitiate envoi to the cosmic shores. + +\* + +Under the stark, unforgiving lights of Dulce Base's underground command center, tension buzzed harder than the banks of supercomputers that lined the walls. Agent Alex Mercer leaned over the shoulder of Jordan Hayes, whose eyes were locked onto the display screen, where an incomprehensible series of alien symbols streamed past incessantly. + +“Any progress on the decryption?” Alex's voice was steady, a controlled presence necessary in the gravity of their undertaking. + +Jordan tapped a key, pausing the flow of code, and leaned back with a deep sigh. "We've broken through another subset of the cipher. It's revealing... well, indications of a complex society, not unlike our own." His eyes met Alex's with an unspoken question that hung heavily between them—were they truly prepared for what they might find? + +Taylor Cruz strode into the room, a tightly coiled spring of ambition and authority, and peered at the screen. "Understand their society, and we may predict behavior. Remain expedient—we don't know how much time we have before the situation shifts." There was an edge of stark realism to Taylor's words, the underlying message clear: every revelation bore its own set of risks. + +Alex nodded thoughtfully, recognizing the validity of Cruz's caution. Turning to Sam, who was tinkering with a device that buzzed quietly on the table, he asked, “Sam, can your contraption get us any further?” + +Sam looked up with a smirk, a twinkle of mischief in their eye. “It’s not just any contraption, it’s potentially a direct line to their thoughts. Give me a moment more, and I'll have something for you.” + +The air ticked with electronic beeps and the rustling sound of the Paranormal Military Squad team at work. They were so close to peering into the intelligence of an alien race—a reality on the brink of dramatically expanding their understanding of the universe. + +The machinery whirred in response to Sam’s precise touches, and suddenly, the room filled with a low hum—something had changed, a signal had been successfully sent. The team held their breath as they listened. The sound that filled the room was unmistakable: a response, an alien voice filtered through the static of space and time. + +Alex exchanged a look of quiet triumph with Jordan. The breakthrough was monumental; they were no longer casting messages into the void but engaged in a dialogue—an exchange that marked the beginning of Operation: Dulce’s true unfolding. This was it, the first steps into an interstellar odyssey that demanded every ounce of their courage and wit. + +## Chapter 13 + +Dr. Jordan Hayes shuffled a stack of papers, their eyes revealing a tinge of skepticism at Taylor Cruz's authoritarian performance. _Protocols_, Jordan thought, _are just the framework, the true challenges we're about to face lie well beyond the boundaries of any protocol._ They cleared their throat before speaking, tone cautious yet firm, "Let's remember, the unknown variables exceed the known. We should remain adaptive." + +A murmur of agreement echoed from Sam Rivera, who leaned forward, lacing their fingers together as if weaving a digital framework in the air before them, "Exactly, adaptability could be the key to interpreting the signal distortions and system malfunctions. We shouldn't discount the… erratic." + +Their words hung like an electric charge in the room, challenging Taylor's position with an inherent truth. Cruz’s jaw tightened almost imperceptibly, but the agent masked it with a small nod, conceding to the omnipresent threat of the unpredictable. + +Alex glanced at Jordan, who never looked back, their gaze fixed instead on a distant point, as if envisioning the immense dark corridors they were soon to navigate in Dulce. Jordan was not one to embrace fantastical theories, but the air of cautious calculation betrayed a mind bracing for confrontation with the inexplicable, an internal battle between the evidence of their research and the calculating skepticism that kept them alive in their field. + +The meeting adjourned with no further comments, the team members quietly retreading the paths to their personal preparations. Alex, trailing slightly behind, observed the others. _The cautious reserve Jordan wears like armor doesn't fool me_, he thought, _their analytical mind sees the patterns I do. And that's worth more than protocol. That's the connection we need to survive this._ + +As the agents dispersed into the labyrinth of the facility, lost in their thoughts and preparations, the base's halogen lights flickered, a brief and unnoticed harbingers of the darkness to come. + +\* + +The gritty, wind-tossed surface of New Mexico, just above the cavernous domain of Dulce Base, offered no shelter from the burgeoning storm—the scouring sands an earthly reminder of chaos theories in motion. Far beneath, a similar maelstrom brewed within the confines of the command center, as Paranormal Military Squad's handpicked squad stood poised for potential enormities of contact. + +Ruffling through printed transmission logs, Jordan Hayes dialed the focus of their analytical prowess onto the emerging pattern of signals crisscrossing between Earth and the unfathomable. "Our responses so far have echoed their complexity, but the real divergence is yet to come," Jordan remarked stoically, the calm belying the mounting surge of adrenaline for the revelation ahead. + +Alex Mercer's figure, a silhouette sharpened by the purpose, loomed at the periphery of the monitors' sickly glow. "Indeed," he assented, "The echoes are the easy part. It will be the introduction of our own, human variable that truly begins our dialogue." + +Taylor Cruz, windowless command center notwithstanding, appeared as though they could feel the tempest above. Their eyes never left the monitors as they unspooled their hard wisdom. "For all our advances, we find ourselves deciphering the swings and nuances of an interstellar pendulum. Predict its arc, and we may preempt the gravity of its message." + +Amidst a chorus of bleeps and static, Sam Rivera's tech-clad hands moved rhythmically, their spirited approach to unruly streams of data bordering an intimate dance with entropy. "Entropy that leads to discovery," Sam mused, responding to Taylor's metaphor. "Each step into the unknown is a step away from precedent." + +Alex, drawing near Jordan, spoke again, his voice now a thread woven through the very fabric of their operations. "Let's be the cartographers of this new territory. Our initial shades of understanding could color the cosmos for generations to come." + +Their gazes fell upon a screen as the latest transmission painted its digital blooms of alien script across the black. This time, the pattern wavered in an almost imperceptible fashion, a modification that whispered of active, alien thought awaiting their next move. A hush enveloped the Paranormal Military Squad ensemble, the gravity of the pathogen undeniable. They were about to issue a reply, one poised to reshape the very concept of humanity's outreach into the cosmos. + +The New Mexico desert's secrets were infamous, its storms a mere prelude to the revelations that the team—united in purpose—would unleash upon the world. The howling winds outside found their counterpart in the newfound resolve within, as Dulce's stalwart guardians readied themselves to send forth humanity's retort to the echoes from beyond. + +\* + +The cavernous control room, deeply entrenched beneath the desolate New Mexico terrain, held the Paranormal Military Squad team in intense focus; an island of calm amid the storm of cosmic dialectics. Dr. Jordan Hayes worked methodically, every keystroke an intricate step in their tenuous cosmic ballet. Suddenly, they paused, a signal pattern resonating from the screen. "This is new; it's...inviting. It’s as if the signal is not just calling to us but weaving its intelligence through ours." + +Alex Mercer scrutinized the shift in data. "A confluence of minds, then. If we're to meet them halfway, Jordan, our reply must be both innovative and discerning," he proposed, a glimmer of profound curiosity behind his authoritative demeanor. + +Taylor Cruz, whose sharp eyes missed nothing, nodded from beside a secondary panel. "Innovative, yes, but also defensive. This interaction is a razor’s edge, and we cannot afford to bleed before the unknown," Taylor reminded them, the metaphor a stark warning of potential dangers. + +Against the backdrop of their conversation, Sam Rivera’s youthful optimism cut through the tension. "If they’re weaving through our intellect, then we've achieved something beyond first contact—we're at the genesis of interstellar symbiosis," they posited with a mix of reverence and excitement. + +Alex returned Sam’s smile with his own, tempered and faint, as he turned back to the task at hand. The magnitude of their mission extended beyond the fabric of the universe, an exploration into the threads that connected sentient beings across the vast expanse. “Let’s reply with our own woven tapestry of thought—delicate, but deliberate.” + +With renewed determination, the room came alive with an undercurrent of anticipation, its occupants charged with the potential of forging an alliance with the cosmos. Paranormal Military Squad's finest were no longer merely soldiers and scientists; they had become pioneers on the vanguard of humanity’s greatest odyssey. + +The New Mexican sands above, impassive to the change brewing underneath, stood as silent sentinels as Earth's emissaries crafted their response. A response that, composed with care and imbued with humanity's essence, reached into the void, connecting with an otherworldly intelligence that awaited their harmony in the cosmic conversation. + +## Chapter 14 + +The command center of Dulce Base lay shrouded in shadows that seemed to claw at the edges of the dimly lit array of screens and consoles. Alex Mercer, focused and unwavering, watched as Dr. Jordan Hayes parsed the latest string of alien signals—a symphony of otherworldly communications that threatened to either enlighten or confound. + +"We’re encountering a paradigm shift with every transmission," Jordan Hayes murmured, the pulsing glow of the monitor painting their features with an almost spectral hue. "This signal... it’s evolving, becoming denser, more sophisticated. As if it's growing alongside us—tandem evolution." + +The air was electric, charged with the raw potential of uncharted discovery and laden with the gravity of existential risk. Taylor Cruz, who always seemed here to mold such gravity into actionable strategies, stepped forward. "We must contain this evolution within parameters we can manage. We cannot be bystanders to an uncontrolled ascent of intelligence." + +Sam Rivera, the youngest of the cohort, worked feverishly at their station. "It's not just intelligence—these signals have rhythm, a kind of music suggesting not just evolution, but a dance! We're being invited to partake in the cosmos's ballet!" they exclaimed, a touch of youthful exuberance breaking through the solemnity. + +Alex turned, facing his team, the stoic mask of command tempered by the perceptible flicker of awe in his gaze. "Let this dance then be our dialogue. We will match their steps with prudent but daring measures—our humanity as our guide." + +In the ensuing hours, the Paranormal Military Squad team forged a rhythm of their own, their collective expertise a beacon piercing through the fog of the unknown. The signal, increasingly intricate and seemingly conscious, now demanded not just observation but participation, an interstellar pas de deux that hummed with the promise and peril of first contact. + +Before them, the communications interface flickered to life with a received transmission—a resonant hum that seemed to vibrate through the very foundations of the base. They had successfully established a back-and-forth with whatever intelligence lay hidden among the stars. Every subsequent note they struck within the cosmic ether would come to define humanity's place within the galactic community—heralds of Earth's grand entrance into a universe far less silent than once perceived. + +\* + +In the concrete belly of Dulce Base, dimly lit by the jagged dance of fluorescent lights above, Sam Rivera perched on the edge of their seat, their eager fingers fluttering across an ancient keyboard. The stark, cold room—reminiscent of a time when covert operations and unspoken dread ruled supreme—now housed a peculiar blend of old-world machinery and sleek, modern interfaces. + +Alex Mercer, standing steadfast like a bridge between the enigmatic past and the unfathomable present, watched on. In his eyes flashed the foreboding excitement of change. "Sam," he started, his voice steadfast, "the patterns in these signals, what do they tell us about the nature of our... guest?" + +Sam's eyes glimmered with something akin to thrill—or was it trepidation? "It's like we're mirroring each other, evolving together through this.. dialogue. Like it knows us, understands us, and it's… learning." + +Jordan Hayes, preoccupied at a nearby console, chimed in without lifting their gaze. "It's a dialogue that transcends mere words, Alex. We're being woven into a narrative far grander than the sum of our known sciences." + +Taylor Cruz, arms crossed, wore the heavy mantle of their skepticism comfortably. "Keep theorizing," they interjected crisply, "but remember the grounding reality of what we are part of here. This contact is a blade that cuts both ways." + +In this cavern of history, voices both human and inhuman whispered secrets to those brave enough to listen. Each member present understood the gravity that pulled at their feet; no longer were they mere mortals shackled to their terrestrial plane. The digital pings and encrypted calls resonated with an implication of a cosmic agenda that would not be ignored. + +Jordan's fingers paused, hovering in hesitation. What ripple might the next keystroke send through the fabric of known existence? It was a step into the ballet of the infinite, where the Paranormal Military Squad team played their part in the waltz of wonders with an audience of stars. + +\* + +## Chapter 15 + +In the clandestine hush of Dulce Base's subterranean command center, the Paranormal Military Squad team had become a crucible for interstellar communication. Dr. Jordan Hayes' gaze lingered on the screen as they navigated through the convolution of alien code. Each character held the potential to unravel a new dimension of contact, and with Sam Rivera's keen interjection, they were crafting humanity's inaugural cosmological discourse. + +Alex Mercer peered over Jordan's shoulder, calculating the implications of every visual nuance that cascaded across the monitor. "Look for consistency—any repeating motifs could signal a willingness to engage. We're drafting history with each exchange," he remarked, aware of the delicate balance between forging a bond and exposing vulnerabilities. + +Taylor Cruz, stoic and enigmatic, observed the interplay from the threshold, a silhouette against the machinery's luminescence. "Remember, while we seek common ground, the foundation we stand upon remains Terra firma. Caution must temper our curiosity," they stated, their voice an anchor amidst the current of excitement. + +The command center buzzed with energy, rivaled only by the tempest overhead that concealed their operation. Sam, with swift dexterity, navigated the communications relay. "Their signals resonate almost musically. It's as if they're composing a symphony, and we've been handed the baton to conduct the next movement," they offered, imbuing the scenario with a blend of scientific adventurism and poetic license. + +Amidst the whirring servers and the occasional flicker of emergency lighting, the essence of their mission transcended mere reconnaissance. They were humanity's elected envoys at the brink of a celestial alliance—or confrontation—with an audience as vast as the universe itself. + +Alex stepped back, his profile etched by the chamber's artificial day. "Then let's ensure our contribution to this symphony harmonizes with theirs. It's time for humanity's voice to rise and be counted among the cosmic ensemble." + +Under his directive, the Paranormal Military Squad team initiated their calculated response, weaving thoughts and theories into a digital overture aimed at the heart of alien intellect. As the digital stream punctured the endless night, each member of this clandestine group was acutely aware of the irrevocable step they undertook—bringing Earth into the pantheon of galactic entities designed to converse among the stars. + +\* + +Clusters of high-tech equipment bathed the Dulce underground command center in an eerie blue light. Sam Rivera's fingers flew across the keyboard, navigating an elaborate network of alien patterns. The very air seemed to pulse with the ebb and flow of cryptic communications reaching across the stars. "I've got something!" Sam's announcement tore through the focus in the room, drawing every pair of eyes to the torrent of symbols unraveling on the screen. + +With the pacing of a seasoned officer gauging the moment before action, Alex Mercer approached, his calm demeanor belying an acute awareness of the precipice on which they now stood. "Define 'something," Alex prompted, reinforcing the need for clarity amidst the extraordinary. + +"It's repeating—a sequence that’s evolved with each interaction, almost as if it's... singing," Sam theorized, the awe in their voice reflecting the potential magnitude of their discovery. + +Jordan Hayes interjected from across the console, their eyes not leaving the display as they absorbed the new data. "A cosmic vocalization, then," they mused, intrigued. "A singularity in the signal that might represent a point of reference for both parties." + +Taylor Cruz, hands clasped behind their back, regarded the unfolding scene, their own calculations etching lines of concern onto their stern visage. "Or a beacon—a homing tune, calling out to something we might not be ready to greet," Taylor offered, voicing the group's unspoken apprehension. + +Alex's eyes locked on the screen, taking in the scope of what they were attempting to interpret. Drawing a deep breath, Alex gave a slight nod. "If this is their song, then let us respond with ours. We've come this far by mirroring their signals, now let's engage in an interstellar duet, and see where the music leads us." + +With the expectation of the significant achieving a crescendo, the members of Paranormal Military Squad huddled over their equipment—sages at the threshold of a potentially world-altering communion. The strange harmonies that reverberated through the command center suggested that their interlocutors were poised, waiting, perhaps even eager, for Earth's chorus to join the symphony. + +As the team initiated their reply, weaving humanity's own intricate melody into the vast cosmic dialogue, they each felt a profound change within—an evolution of purpose. They were not just messengers or investigators; they had become co-composers in a galactic orchestra, with the universe itself as their witness and concert hall. + +With the exchange of harmonious signals crawling through the vacuum of space, the Paranormal Military Squad operatives found themselves part of a bridging of minds—a realization that out there, among the vast arrays of stars and planets, harmony was the true universal language. + +\* + +The dim glow of monitors cast an otherworldly ambiance upon Dulce Base's command center, where Paranormal Military Squad's chosen stood huddled over their instruments, suspended at history's threshold. Codes—alien in origin and nature—were being deciphered by Dr. Jordan Hayes, whose countenance bore the marks of deep concentration. + +Alex Mercer, the bedrock upon which their team's resolve was founded, leaned in with an eagerness tempered by his chain of command. "Jordan, we've invested our expertise into comprehending their patterns, but now we must also endeavor to understand their intent," he urged, his voice bearing the gravitas of their mission's potential consequences. + +At another console, Sam Rivera's youth did not betray their crucial role in the operation. With eyes alight, they mirrored the rapid computing before them. "There's emotion here—complex, profound even. This isn't just the output of a cold machine; it's...sentience," Sam whispered, nearly drowned by the mechanical chorus around them. + +Jordan, without shifting focus from their work, replied, "It's a sentience that—should we succeed here—ushers us into a new era of existence. The cadence of these signals," they tapped the screen with a flourish, "could well be the heartbeat of this new dawn." + +Taylor Cruz paused beside Mercer, their expression unreadable beneath the sterile light. "And as it beats, we must gauge whether its rhythm bodes well for us, or spells our missteps. Courage must not blind us to the hazards intrinsic to such contact," Taylor cautioned, the sentinel within them ever alert. + +Alex nodded, a gesture that carried the weight of responsibility and a silent command: proceed, but with circumspection. They were not merely decoding a message; they were interpreting a dialogue across the celestial divide. + +The room fell into a rhythm akin to a well-conducted ensemble. Each member's expertise proved a critical note in the unfolding symphony. Their actions were now more than mere research or defense; they were the tentative overtures of humankind reaching out to grasp the vast unknown. + +Textures of sound meshed with the light from countless computations, the palpable anticipation of the agents at the edge of discovery cresting with an awareness that their work would reshape future chronicles. And when the response finally came—a signal piercing the deafening silence of uncertainty—all within Dulce's confines understood: the dawn of an interstellar continuum had just begun to break. + +\* + +In the sterile hum and flickering lights of Dulce Base's command center, the Paranormal Military Squad team stood as humanity's vanguard, verging on the brim of an intergalactic abyss. Dr. Jordan Hayes, analytical edges sharp, deciphered extraterrestrial patterns that bled across screens in enigmatic cascades—a daunting mosaic of potential threats and untapped wisdom. + +Agent Alex Mercer, the embodiment of focus and a steadfast nerve, observed the unfolding digital drama with the gravitas due a historic first contact. "Let the data weave its narrative, Jordan," he instructed, a moderate undertone of exhilaration within his command. "It's encoding more than information—it's outlining civilization." + +Jordan absorbed the directive, their gaze unflinching from the screens, feeling the weight of their next move. "The nuances here are extraordinary," they acknowledged. "It paints a picture of a culture steeped in complexities we're only starting to fathom.” + +Taylor Cruz, stoicism personified yet not immune to the situation's gravity, chimed in. "Understand it, but guard against it," they cautioned, bringing a sober prudence to the room. "This culture, however advanced, remains an unknown quantity—an ocean of wonders and darkness with uncertain tides." + +Sam Rivera, a visual contrast with wide eyes and restless hands, represented the other side of the room — intrigue and optimism against the drawn swords of precaution. “Think of it,” they proposed, voice bouncing with a rebellious upbeat timbre, “as the first act of a play written in constellations. We're setting the stage for a galactic narrative.” + +Each team member, in their way, was both actor and scribe in this moment of tense pageantry. Heavy with the presence of risk, the command center had become not just a room of computers and glass panels but a theater for performing the elaborate choreography of contact. + +Bound by resolve and curiosity, they proceeded, each data entry a trembling step onto the cosmic stage. And like all cautious pioneers edging into fertile but unnavigated lands, they understood: as they mapped the heavens, they were simultaneously mapping the furthest reaches of their own existential horizons. + diff --git a/tests/fixtures/min-csv/settings.yml b/tests/fixtures/min-csv/settings.yml new file mode 100644 index 00000000..57a00c27 --- /dev/null +++ b/tests/fixtures/min-csv/settings.yml @@ -0,0 +1,20 @@ +input: + file_type: csv + +embeddings: + vector_store: + type: "lancedb" + uri_db: "./tests/fixtures/min-csv/lancedb" + store_in_table: True + + entity_name_description: + title_column: "name" + # id_column: "id" + # overwrite: true + # entity_name: ... + # relationship_description: ... + # community_report_full_content: ... + # community_report_summary: ... + # community_report_title: ... + # document_raw_content: ... + # text_unit_text: ... diff --git a/tests/fixtures/text/config.json b/tests/fixtures/text/config.json new file mode 100644 index 00000000..809ca0f6 --- /dev/null +++ b/tests/fixtures/text/config.json @@ -0,0 +1,182 @@ +{ + "input_path": "./tests/fixtures/text", + "input_file_type": "text", + "workflow_config": { + "create_base_text_units": { + "row_range": [ + 1, + 2000 + ], + "subworkflows": 11, + "max_runtime": 10 + }, + "create_base_extracted_entities": { + "row_range": [ + 1, + 2000 + ], + "subworkflows": 2, + "max_runtime": 300 + }, + "create_final_covariates": { + "row_range": [ + 1, + 2000 + ], + "nan_allowed_columns": [ + "type", + "description", + "subject_type", + "object_id", + "object_type", + "status", + "start_date", + "end_date", + "source_text" + ], + "subworkflows": 6, + "max_runtime": 300 + }, + "create_summarized_entities": { + "row_range": [ + 1, + 2000 + ], + "subworkflows": 1, + "max_runtime": 300 + }, + "join_text_units_to_covariate_ids": { + "row_range": [ + 1, + 2000 + ], + "subworkflows": 2, + "max_runtime": 10 + }, + "create_base_entity_graph": { + "row_range": [ + 1, + 2000 + ], + "subworkflows": 2, + "max_runtime": 10 + }, + "create_final_entities": { + "row_range": [ + 1, + 2000 + ], + "nan_allowed_columns": [ + "type", + "description", + "graph_embedding" + ], + "subworkflows": 11, + "max_runtime": 300 + }, + "create_final_relationships": { + "row_range": [ + 1, + 2000 + ], + "subworkflows": 8, + "max_runtime": 100 + }, + "create_final_nodes": { + "row_range": [ + 1, + 2000 + ], + "nan_allowed_columns": [ + "entity_type", + "description", + "graph_embedding", + "community", + "level" + ], + "subworkflows": 10, + "max_runtime": 10 + }, + "create_final_communities": { + "row_range": [ + 1, + 2000 + ], + "subworkflows": 14, + "max_runtime": 10 + }, + "create_final_community_reports": { + "row_range": [ + 1, + 2000 + ], + "nan_allowed_columns": [ + "community_id", + "title", + "summary", + "full_content", + "full_content_json", + "rank", + "rank_explanation", + "findings" + ], + "subworkflows": 7, + "max_runtime": 300 + }, + "join_text_units_to_entity_ids": { + "row_range": [ + 1, + 2000 + ], + "subworkflows": 3, + "max_runtime": 10 + }, + "join_text_units_to_relationship_ids": { + "row_range": [ + 1, + 2000 + ], + "subworkflows": 4, + "max_runtime": 10 + }, + "create_final_text_units": { + "row_range": [ + 1, + 2000 + ], + "nan_allowed_columns": [ + "relationship_ids", + "entity_ids" + ], + "subworkflows": 7, + "max_runtime": 100 + }, + "create_base_documents": { + "row_range": [ + 1, + 2000 + ], + "subworkflows": 8, + "max_runtime": 10 + }, + "create_final_documents": { + "row_range": [ + 1, + 2000 + ], + "subworkflows": 1, + "max_runtime": 100 + } + }, + "query_config": [ + { + "query": "Who is Agent Alex Mercer and what are his goals?", + "method": "local" + }, + { + "query": "What is the major conflict in this story and who are the protagonist and antagonist?", + "method": "global" + } + ], + "slow": false +} \ No newline at end of file diff --git a/tests/fixtures/text/input/ABOUT.md b/tests/fixtures/text/input/ABOUT.md new file mode 100644 index 00000000..42c31610 --- /dev/null +++ b/tests/fixtures/text/input/ABOUT.md @@ -0,0 +1,3 @@ +# About + +This document (Operation Dulce) in an AI-generated science fiction novella, included here for the purposes of integration testing. \ No newline at end of file diff --git a/tests/fixtures/text/input/dulce.txt b/tests/fixtures/text/input/dulce.txt new file mode 100644 index 00000000..95c9e3cd --- /dev/null +++ b/tests/fixtures/text/input/dulce.txt @@ -0,0 +1,970 @@ +# Operation: Dulce + +## Chapter 1 + +The thrumming of monitors cast a stark contrast to the rigid silence enveloping the group. Agent Alex Mercer, unfailingly determined on paper, seemed dwarfed by the enormity of the sterile briefing room where Paranormal Military Squad's elite convened. With dulled eyes, he scanned the projectors outlining their impending odyssey into Operation: Dulce. + +“I assume, Agent Mercer, you’re not having second thoughts?” It was Taylor Cruz’s voice, laced with an edge that demanded attention. + +Alex flickered a strained smile, still thumbing his folder's corner. "Of course not, Agent Cruz. Just trying to soak in all the details." The compliance in his tone was unsettling, even to himself. + +Jordan Hayes, perched on the opposite side of the table, narrowed their eyes but offered a supportive nod. "Details are imperative. We’ll need your clear-headedness down there, Mercer." + +A comfortable silence, the kind that threaded between veterans of shared secrets, lingered briefly before Sam Rivera, never one to submit to quiet, added, "I’ve combed through the last transmission logs. If anyone can make sense of the anomalies, it’s going to be the two of you." + +Taylor snorted dismissively. “Focus, people. We have protocols for a reason. Speculation is counter-productive.” The words 'counter-productive' seemed to hang in the air, a tacit reprimand directed at Alex. + +Feeling the weight of his compliance conflicting with his natural inclination to leave no stone unturned, Alex straightened in his seat. "I agree, Agent Cruz. Protocol is paramount," he said, meeting Taylor's steely gaze. It was an affirmation, but beneath it lay layers of unspoken complexities that would undoubtedly unwind with time. + +Alex's submission, though seemingly complete, didn't escape Jordan, who tilted their head ever so slightly, their eyes revealing a spark of understanding. They knew well enough the struggle of aligning personal convictions with overarching missions. As everyone began to collect their binders and prepare for departure, a quiet resolve took form within Alex, galvanized by the groundwork laid by their interactions. He may have spoken in compliance, but his determination had merely taken a subtler form — one that wouldn't surrender so easily to the forthcoming shadows. + +\* + +Dr. Jordan Hayes shuffled a stack of papers, their eyes revealing a tinge of skepticism at Taylor Cruz's authoritarian performance. _Protocols_, Jordan thought, _are just the framework, the true challenges we're about to face lie well beyond the boundaries of any protocol._ They cleared their throat before speaking, tone cautious yet firm, "Let's remember, the unknown variables exceed the known. We should remain adaptive." + +A murmur of agreement echoed from Sam Rivera, who leaned forward, lacing their fingers together as if weaving a digital framework in the air before them, "Exactly, adaptability could be the key to interpreting the signal distortions and system malfunctions. We shouldn't discount the… erratic." + +Their words hung like an electric charge in the room, challenging Taylor's position with an inherent truth. Cruz’s jaw tightened almost imperceptibly, but the agent masked it with a small nod, conceding to the omnipresent threat of the unpredictable. + +Alex glanced at Jordan, who never looked back, their gaze fixed instead on a distant point, as if envisioning the immense dark corridors they were soon to navigate in Dulce. Jordan was not one to embrace fantastical theories, but the air of cautious calculation betrayed a mind bracing for confrontation with the inexplicable, an internal battle between the evidence of their research and the calculating skepticism that kept them alive in their field. + +The meeting adjourned with no further comments, the team members quietly retreading the paths to their personal preparations. Alex, trailing slightly behind, observed the others. _The cautious reserve Jordan wears like armor doesn't fool me_, he thought, _their analytical mind sees the patterns I do. And that's worth more than protocol. That's the connection we need to survive this._ + +As the agents dispersed into the labyrinth of the facility, lost in their thoughts and preparations, the base's halogen lights flickered, a brief and unnoticed harbingers of the darkness to come. + +\* + +A deserted corridor inside the facility stretched before Taylor Cruz, each footstep rhythmic and precise. Cruz, ambitious and meticulous, eyed the troops passing by with a sardonic tilt of the lips. Obedience—it was as much a tool as any weapon in the arsenal, and Cruz wielded it masterfully. To them, it was another step toward unfettered power within the dark bowels of the military complex. + +Inside a secluded equipment bay, Cruz began checking over gear with mechanical efficiency. They traced fingers over the sleek surface of an encrypted radio transmitter. "If protocols are maintained," said Cruz aloud, rehearsing the speech for their subordinates, "not only will we re-establish a line of communication with Dulce, but we shall also illuminate the darkest secrets it conceals." + +Agent Hayes appeared in the doorway, arms crossed and a knowing glint in their eyes. "You do understand," Jordan began, the words measured and probing, "that once we're in the depths, rank gives way to survival instincts. It's not about commands—it's empowerment through trust." + +The sentiment snagged on Cruz's armor of confidence, probing at the insecurities festering beneath. Taylor offered a brief nod, perhaps too curt, but enough to acknowledge Jordan's point without yielding ground. "Trust," Cruz mused, "or the illusion thereof, is just as potent." + +Silence claimed the space between them, steeped in the reality of the unknown dangers lurking in the shadows of the mission. Cruz diligently returned to the equipment, the act a clear dismissal. + +Not much later, Cruz stood alone, the hollow echo of the bay a stark reminder of the isolation that power often wrought. With each checked box, their resolve steeled further, a silent vow to usher their team through the abyss—whatever it might hold—and emerge enshrined in the respect they so deeply craved. + +## Chapter 2 + +Sam Rivera sat alone in a cramped office, the hum of a dozen servers murmuring a digital lullaby in the background. Surrounded by the glow of multiple screens, their eyes danced across lines of code and intercepted comm signals from Dulce — a kaleidoscope of data that their curious and isolated mind hungered to decrypt. + +To an outsider, it might have looked like obsession, this fervent quest for answers. But to Sam, it was a dance — a give and take with the mysteries of the universe. Their fingers paused over the keyboard as they leaned back in the chair, whispering to thin air, "What secrets are you hiding from us?" + +The stillness of the room broke with the unexpected arrival of Alex Mercer, whose encroaching shadow loomed over Sam's workspace. The cybersecurity expert craned their neck upwards, met by the ever-so-slight furrow in Alex's brow. "Got a minute, Rivera?" + +"Always," Sam said, a smile surfacing as they swiveled to face their mentor more directly. _He has that look — like something's not sitting right with him,_ they noted inwardly. + +Alex hesitated, weighing his words carefully. "Our tech is top-tier, but the silence from Dulce... It's not just technology that will see us through, it's intuition and... trust." His gaze pierced through the digital haze, trying to instill something more profound than advice. + +Sam regarded Alex for a moment, the sincerity in his voice resonating with their own unspoken desire to prove their worth. "Intuition," they mirrored thoughtfully. "I guess sometimes the numbers don't have all the answers." + +Their shared silence held a newfound understanding, a recognition that between the ones and zeros, it was their combined human insights that might prevail against the impossible. As Alex turned to leave, Sam's eyes drifted back to the screens, now seeing them not as barriers to isolate behind, but as windows into the vast and enigmatic challenge that awaited their team. + +Outside the office, the persistent buzz of activity in the facility belied the unease that gripped its inhabitants. A restlessness that nibbled on the edges of reality, as though forewarning of the threshold they were soon to cross — from the known into the realm of cosmic secrets and silent threats. + +\* + +Shadows played against the walls of the cramped underground meeting room, where Alex Mercer stood gazing at the concealed elevator that would deliver them into the bowels of Dulce base. The air was thick, every breath laced with the weight of impending confrontation, the kind one feels when stepping into a legend. Though armed with an array of advanced weaponry and gear, there was an unshakeable sense that they were delving into a conflict where the physical might be of little consequence. + +"I know what you're thinking," Jordan Hayes remarked, approaching Mercer. Their voice was low, a blend of confidence and hidden apprehension. "This feels like more than a rescue or reconnaissance mission, doesn't it?" + +Alex turned, his features a mask of uneasy resolve. "It's like we're being pulled into someone else’s game. Not just observers or participants, but... pawns." + +Jordan gave a short nod, their analytical mind colliding with the uncertain dynamics of this operation. "I've felt that way since the briefing. Like there's a layer we’re not seeing. And yet, we have no choice but to play along." Their eyes locked with Alex's, silently exchanging a vow to remain vigilant. + +"You two need to cut the philosophical chatter. We have positions to secure," Taylor Cruz interjected sharply, stepping into their exchange. The authority in Taylor's voice brooked no argument; it was their way of pulling everyone back to the now. + +Alex's response was measured, more assertive than moments ago. "Acknowledged, Agent Cruz," he replied, his voice steadier, mirroring the transformation brewing within. He gripped his rifle with a newfound firmness. "Let's proceed." + +As they congregated at the elevator, a tension palpable, Sam Rivera piped in with a tone of balanced levity, "Hope everyone’s brought their good luck charms. Something tells me we’re going to need all the help we can get." + +Their laughter served as a brief respite from the gravity of their mission, a shared moment that reinforced their common humanity amidst the unknowable. Then, as one, they stepped into the elevator. The doors closed with a silent hiss, and they descended into the darkness together, aware that when they returned, if they returned, none of them would be the same. + +\* + +The sense of foreboding hung heavier than the darkness that the artificial lights of the elevator shaft failed to fully penetrate. The team was descending into the earth, carrying with them not only the weight of their equipment but also the silent pressure of the invisible war they were about to fight—a war that seemed to edge away from physicality and into the unnervingly psychological. + +As they descended, Dr. Jordan Hayes couldn't help but muse over the layers of data that could wait below, now almost longing for the comfort of empirical evidence. _To think that this reluctance to accept other possibilities may have been my biggest blind spot,_ Jordan contemplated, feeling the hard shell of skepticism begin to crack. + +Alex caught Jordan's reflective gaze and leaned in, his voice barely a murmur over the hum of the elevator. "Once we're down there, keep that analytical edge sharp. You see through the mazes of the unexplained better than anyone." + +The compliment was unexpected and weighed differently than praise from others. This was an acknowledgment from someone who stood on the front lines of the unknown with eyes wide open. "Thank you, Alex," Jordan said, the words carrying a trace of newfound assertiveness. "You can count on me." + +The exchange was cut short by a shudder that ran through the elevator, subtle, but enough to make them instinctively hold their breaths. It wasn't the mechanical stutter of old gears but a vibration that seemed to emanate from the very walls of the shaft—a whisper of something that defied natural explanation. + +Cruz was the first to react, all business despite the shadow that crossed their expression. "Systems check. Now," they barked out, masking the moment of disquiet with swift command. + +Every agent checked their gear, sending confirmation signals through their comms, creating a chorus of electronic beeps that promised readiness. But there was an unspoken question among them: was their technology, their weaponry, their protocols sufficient for what awaited them or merely a fragile comfort? + +Against the gravity of the silence that was once again closing in, Sam's voice crackled through, only half-jest. "I'd laugh if we run into Martians playing poker down there—just to lighten the mood, you know?" + +Despite—or perhaps because of—the oddity of the moment, this elicited a round of chuckles, an audible release of tension that ran counterpoint to the undercurrent of anxiety coursing through the team. + +As the elevator came to a halting, eerie calm at the sub-level, the group stepped off, finding themselves at the threshold of Dulce's mysterious halls. They stood in a tight pack, sharing a cautious glance before fanning out into the unknown, each one acutely aware that the truth was inevitably intertwined with danger. + +Into the depths of Dulce, the team advanced, their silence now a shared testament to the camaraderie born of facing the abyss together—and the steel resolve to uncover whatever horrors lay hidden in its shadows. + +\* + +The weight of the thick metal door closing behind them reverberated through the concrete hallway, marking the final threshold between the familiar world above and the strangeness that lay beneath. Dulce base, a name that had been whispered in the wind-blown deserts above and in the shadowed corners of conspiracy forums, now a tangible cold reality that they could touch — and that touched them back with a chill. + +Like lambs led to an altar of alien deities, so did Agents Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera proceed, their movements measured, their senses heightened. The air was still, almost respectful of the gravity of their presence. Their torch beams sliced through the darkness, uncovering steel doors with warnings that spoke of top secrets and mortal dangers. + +Taylor Cruz, stepping firmly into the role of de facto leader, set a brisk pace. "Eyes sharp, people. Comms check, every thirty seconds," Taylor ordered, their voice echoing slightly before being swallowed by the surrounding silence. + +Sam, fiddling with a handheld device aimed at detecting electronic anomalies, offered a murmured "Copy that," their usual buoyancy dimmed by the oppressive atmosphere. + +It was Jordan Hayes who paused at an innocuous looking panel, nondescript amongst the gauntlet of secured doorways. "Mercer, Rivera, come see this," Jordan’s voice was marked with a rare hint of urgency. + +Alex joined Jordan's side, examining the panel which, at a mere glance, seemed just another part of the base's infrastructure. Yet, to the trained eye, it appeared out of place—a facade. + +Jordan explained their reasoning as Sam approached, instinctively understanding the significance of what lay beneath, "This panel is a recent addition — covering something they didn't want found." + +Before Alex could respond, the soft whir of an approaching drone cut through their muffled exchange. Taylor had looped back upon hearing the commotion. "Explanations later. We can't afford to attract..." Cruz’s voice trailed off as the small airborne device came into view, its sensors locked onto the group. + +Sam was the first to react, their tech-savvy mind already steps ahead. "I've got this," they declared, fingers flying over the controls of their own gadgetry to ward off the impending threat. + +The drone lingered, its scan seeming more curious than hostile. But within moments, courtesy of Sam's interference, the little sentinel drifted away, retreating into the shadows as if accepting a silent truce. The crew exhaled, a moment of collective relief palpable in the air. + +Cruz squared their shoulders, clearly ruffled but not conceding any ground. "Move out," they directed, a hint more forceful than before. "And Rivera, keep that trick handy." + +The team pressed onward, the quiet now filled with the soft beeps of regular comms checks, their pace undeterred by the confrontation. Yet, every agent held a renewed sense of wariness, their trust in one another deepening with the knowledge that the base—its technology, its secrets—was alive in a way they hadn't fully anticipated. + +As they converged upon a central hub, the imposing doors to the mainframe room stood ajar — an invitation or a trap, neither option comforting. Without a word, they fortified their resolve and stepped through the threshold, where the dim glow of operational LED lights and the distant hum of machinery hinted at Dulce’s still-beating heart. + +Solemnly, yet unmistakably together, they moved deeper into the heart of the enigma, ready to unmask the lifeforce of Dulce base or confront whatever existential threat lay in wait. It was in that unwavering march towards the unknown that their destinies were forever cemented to the legacy of Operation: Dulce. + +## Chapter 3 + +The thrumming of monitors cast a stark contrast to the rigid silence enveloping the group. Agent Alex Mercer, unfailingly determined on paper, seemed dwarfed by the enormity of the sterile briefing room where Paranormal Military Squad's elite convened. With dulled eyes, he scanned the projectors outlining their impending odyssey into Operation: Dulce. + +\* + +The cooling vents hummed in a monotonous drone, but it was the crackle of the comms system coming to life that cut through the lab’s tension. Dr. Jordan Hayes hovered over a table arrayed with alien technology, their fingers delicately probing the enigmatic circuitry retrieved from the crash site. Agent Alex Mercer watched, admiration blooming in silent solidarity for Jordan's deft touch and unspoken drive. + +Jordan, always composed, only allowed the faintest furrow of concentration to mar their brow. "What we understand about physics..." they muttered, trailing off as they realigned a translucent component. The device emitted a low pulse, causing Jordan to still. "Could be fundamentally changed by this." + +A calculated risk—that's what this was. And for a person of science, a gamble was worth the potential paradigm shift. + +"I’ve been thinking," Alex started, his eyes still fixed on the immediately tangible mystery before them. "About what’s at stake here. Not the mission parameters, but what this means for us—humanity." + +Jordan glanced up, meeting his eyes just long enough to convey the shared enormity of their situation; the career-defining glory and existential dread entwined. "The quest for understanding always comes at a price. We're standing on the precipice of knowledge that could either elevate us or condemn us." + +The charged air between them spiked as Taylor Cruz’s brusque tones sliced through their reverie. "Hayes, Mercer, this isn't philosophy hour. Focus on the task. We need actionable intel, not daydreams." + +With a sound of restrained acknowledgment, Jordan returned their gaze to the device, while Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order. + +Then Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.” + +The underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce. + +It was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths and for different reasons. Yet, beneath the veneer of duty, the enticement of the vast unknown pulled them inexorably together, coalescing their distinct desires into a shared pulse of anticipation. + +Marshaled back to the moment by the blink of lights and whir of machinery, they refocused their efforts, each movement sharpened by the knowledge that beyond understanding the unearthly artifacts, they might be piecing together the future of their species. + +\* + +Amidst the sterility of the briefing room, the liminal space between the facts laid out and the hidden truths, sat Sam Rivera, his demeanor an artful balance of focus and a casual disguise of his razor-sharp talent with technology. Across from him, Alex Mercer lingered in thought, the mental cogs turning as each file on Dulce stirred more than curiosity—it beckoned to a past both honored and burdensome. + +"You've been quiet, Sam," Alex noted, catching the younger man's contemplative gaze. "Your take on these signal inconsistencies?" + +There was a respect in Alex's tone, though a respectful distance remained—a gulf of experience and a hint of protective mentorship that stood between them. Sam nodded, recognizing the space afforded to him, and he couldn't help but feel the weight of expectation pressing upon his shoulders. It wasn't just the mission that was immense, it was the trust being placed in him. + +"The patterns are... off," Sam admitted, hesitant but driven. "If I'm right, what we're looking at isn't random—it's a structured anomaly. We need to be ready for anything." + +Alex's eyes brightened with a subtle approval that crossed the distance like a silent nod. "Good. Keen eyes will keep us ahead—or at least not blindsided," he said, affirming the belief that inscribed Sam's role as more than the tech personnel—he was to be a guiding intellect in the heart of uncertainty. + +Their exchange was cut short by Taylor Cruz's abrupt arrival, his gait brimming with a robust confidence that veiled the sharp undercurrents of his striving nature. "Time to gear up. Dulce waits for no one," Taylor announced, his voice carrying an iron resolve that knew the costs of hesitation—though whether the cost was calculated in human or career terms was an ambiguity he wore like a badge of honor. + +As Sam and Alex nodded in unison, the icy chasm of hierarchy and cryptic protocols seemed momentarily to bridge over with an understanding—this mission was convergence, a nexus point that would challenge each of their motives and strength. + +They filed out of the briefing room, their footsteps synchronized, a rhythm that spoke volumes of the unknown cadence they would soon march to within the base's veins. For Alex Mercer, the link with Sam Rivera, though distant, was now poised with a mutuality ready to be tested; for Taylor Cruz, the initiative pulsed like a heartbeat, anticipation thinly veiled behind a mask of duty. + +In the midst of the descent, they were each alone yet irrevocably joined, stepping closer towards the volatile embrace of Operation: Dulce. + +## Chapter 4 + +The corridors of the Dulce military base were as silent as a tomb and twice as chilling. Alex Mercer walked with a surety that belied his bubbling undercurrents of doubt. The briefing had been definitive, sturdy pillars of facts and protocols, yet as he ventured deeper, the ominous atmosphere gnawed at him—a stark reminder of how much remained unknown. + +Jordan Hayes trailed a few steps behind, their detached exterior breaking for a moment as they caught up to Alex. "What's on your mind?" Jordan asked, their astuteness cutting through the unspoken tension. + +Alex glanced back at them. This place was a puzzle, a treacherous labyrinth where the walls whispered secrets, and among them, he sensed a call to question, to challenge the narrative they'd been sold. "The silence here... It's almost as if the base is waiting for something—or someone." + +"Just stay sharp, Mercer," Jordan cautioned, yet their eyes lingered on the quietude around them, conceiving the same shadow of doubt that unsettled Alex. + +Before they could delve into further discussion, the distinctive click of a safety catch echoed in the hollow space. Both agents turned to find Taylor Cruz standing resolute, primed for combat. Taylor's gaze was scrutinizing and cold, a stark contrast to the growing unease that smoldered silently amongst the rest. + +"Chatter is a liability," Taylor snapped, with a commanding flair that bordered on tyrannical. "We move forward, eyes open, mouths shut." + +Alex felt the tight grip of compliance strangle his gut, a lesson learned under the hard tutelage of rank and order. But here, in the bowels of Dulce, those instincts began to wane, the imperative to adhere now conflicting with the pressing urgency to confront the shadows they were enmeshed in. + +Then, unexpectedly, the lights flickered, a power fluctuation—or a sign? Alex's hand instinctively went to his sidearm, his mindset shifting from soldier to skeptic. The base, with its unyielding coldness, had just given them their first nudge into the realm of the speculative, an invitation to peel back the veneer of reality. + +"We should consider all possibilities," Alex murmured, more to himself than the others, his voice a barely audible breath against the sterile air of the complex. + +Taylor's posture stiffened at the challenge, yet their response was uncharacteristically reserved, notable in its lack of rebuke. "Agreed. For now, keep moving. But stay vigilant." + +A surprise—an echo of agreement from the last person Alex expected it from. And there it was, the glimpse of a wrinkle in the unyielding fabric of command, a hint that perhaps they were all starting to sense the strangeness that permeated this place. + +Progressing with determined steps, the trio moved deeper, silently acknowledging the evolution of their predicament. It was a small yet transformative concession to the unknown forces at play, an acknowledgment from each agent that, despite their disparate goals and ideals, the true nature of the Dulce base was an enigma that would forge new paths through their convictions. + +As they reached the central communications hub, the truth that awaited them lurked in the shadows, its eyes unseen but felt by all. The walls didn't just whisper now; they spoke in tones only the brave—or the foolish—would dare to listen to. + +\* + +The subterranean silence of Dulce was an oppressive entity of its own, wrapping the team in a cloak of uneasiness as they pressed on through the dimly lit corridor. Jordan Hayes found themselves contemplating the ramifications of each step taken into this suspended world, where the sterile air seemed to mock the gravity of their predicament. The closer they got to the communication hub, the more Jordan's mind wandered toward the realm of the inexplicable. + +Beside Jordan, Alex Mercer moved forward with deliberation, his gaze scanning the heavy utility doors they passed—one of which was partially ajar, beckoning them with its darkness. "After you, Dr. Hayes," Alex said, gesturing toward the mysterious opening. A hint of shared understanding passed between them; knowledge was the guiding star of this mission as much as confrontation or recovery. + +Jordan peered inside, the beam from their flashlight slicing through the obscurity. The room beyond was a chaotic cascade of papers, overturned furniture, and the particular kind of disorder born from hasty evacuation—or something far more sinister. + +"It's like they vanished in the middle of something urgent," Alex murmured, his voice tight with a mix of concern and anticipation. He began to sift through the scattered reports, each page a potential clue to the enigmatic silence that shrouded Dulce. + +Behind them, Taylor watched with a disciplined patience, their authority the foundation upon which the operation was built. Their voice cut into the stillness, a reminder of their presence, "Time is not our ally here." + +Drawing back from momentary distraction, Jordan acknowledged the wisdom in Taylor's words, yet could feel the shift in their stance—from skeptical, reserved analyst, to a proactive agent within the narrative. "You're right; these documents may hold critical insights. Let's collect what we can and analyze them properly." + +From the darkened hollows of the room, shadows seemed to cast subtle judgment as Alex and Jordan worked together with heightened urgency. Taylor, for once, didn't intervene but instead surveyed the entrance, their mind anticipating the unknown variables that lay ahead. + +Unexpectedly, a soft hiss emanated from a neglected terminal on the desk. Jordan's head snapped up, their heart rate accelerating at the potential ramifications. Without a word, they moved to the machine, hands driven by the newfound conviction that knowledge was more than power—it was survival. + +As Jordan began to extract what data they could from the terminal, the first comprehensible communication from the depths of Dulce in far too long crackled through: an automated distress marker, looping endlessly without further context. It was a revelation, one that reverberated through the group, confirming their fears and igniting an even greater need to press on. + +Watching Jordan's dogged determination, Alex witnessed the minor transformation in his colleague unfold—a shift from doubt to action, a sliver of belief in the possibilities beyond their rational understanding. This forge of resolve amidst the alien echoes of Dulce not only bonded them closer as a team but compelled them forward with a sharpened edge of responsibility to the truth, wherever it would lead. + +As they collected their findings and regrouped, the base around them imperceptibly changed, the air charged with the vibration of secrets poised on the brink of revelation. And in that charged silence, the group moved on, each now carrying pieces of a puzzle that would soon converge into a picture of galactic significance. + +\* + +In the chill of the cramped server room, the hum of machinery was the backbone to a symphony of data streams coursing through the air. Dr. Jordan Hayes, nerves alight with the mission's mounting unknowns, patched into the last known coordinates of the unsent distress broadcast they had uncovered. They were so close to the core now – to the truth behind the blackout – it was almost tangible. + +Beside them stood Agent Alex Mercer, ever the soldier, yet with eyes that betrayed an intellect craving to understand the murk beneath the surface. "Any progress, Dr. Hayes?" Alex queried, his voice betraying a subtle urgency. + +"Getting there," Jordan replied, fingers dancing across the keyboard. "Whoever sent this was cut off mid-transmission. It's as if Dulce itself swallowed the message whole." + +Taylor Cruz closed in, their frame casting a long shadow over the duo, evoking an almost palpable wall between them and the forward momentum of their mission. "Time is against us," Taylor intoned, more statement than threat. "What we uncover here determines our next course of action." + +Alex acknowledged Taylor with a brisk nod, his stance firm. Yet inwardly, the tightening grip he felt from Taylor's words couldn't throttle the swell of his own investigative instinct. His soldier's obedience had begun to war with the advocate's zeal for unveiling the dark heart of Dulce's secrets. + +And then, the unexpected occurred. The screens flashed in unison, spilling a discordant stream of symbols and images that defied immediate analysis. Jordan's breath caught – this was the response they had been fishing for, an alien communication protocol resonating just at the edge of human comprehension. + +Each member of the team felt it: a shift in the room’s very atmosphere, like a veil being drawn from their perception. Alex and Jordan stood still, absorbed in the bewilderment of contact, while Taylor, despite their authority, hesitated – a minor betrayal that unease was creeping into even their disciplined heart. + +"Thoughts, Rivera?" Taylor rallied, seeking the counsel of Sam Rivera, whose eyes were wide with exhilaration. + +Sam stepped forward, breaking the spell of stillness. "It's like nothing I've ever seen before, but I think I can bridge our systems to communicate," they declared, a wisp of optimism braiding their voice. They set about adapting their gear to transmute the foreign signals into something the team could dissect, their actions a testament to the mentorship and belief instilled in them by Mercer and the team. + +Taylor observed them, a cold calculation behind their facade, as they weighed the worth of this anomaly. It was a crossroad that potentially led to either monumental breakthrough or unprecedented catastrophe. "Once you've established a line, document everything. We can't afford to miss any detail," Taylor ordered, the words sharper than intended. + +The connection was made, and with trembling anticipation, the team listened as the first garbled outputs began to emerge, their very essence promising insights that could alter the course of history. It was an enigmatic dance with the unknown, the pulse of Dulce no longer just a place, but a herald to an alien register the team had yet to decipher. + +Together, they stood at the precipice of understanding, where the faint glow of their monitors cast more than just light – it cast the shadow of burgeoning transformation. It was in this moment, in the grasp of an extraterrestrial tongue, that the team, bound by a hunger for knowledge and the raw edge of survival, found their mission reframed from a search for answers to the articulation of a question humankind had yet to fully ask. + +Silent in their commune with the inexplicable frequency, they realized they were not merely investigators; they had become liaisons on behalf of Earth, interpreters of a cosmic message that could redefine their very existence. The implications loomed large, but now, they would not face them alone – they would face them as a united front, wrought together by the very mysteries that once drove them apart. + +## Chapter 5 + +Dr. Jordan Hayes clutched the edge of the briefing room table, their fingers white-knuckled against the laminate surface, as an array of constellations rotated on the projector—charts and graphs bleeding across the stars. In the dim room, nebulas and dark matter seemed within arm's reach, tangible yet unfathomable. + +Sam Rivera leaned back against the wall, arms crossed, gaze darting between the swirling cosmos and the faces of their companions. A taut line of concentration etched their young features, a mingling of fervent curiosity with the nascent understanding of the high stakes for which they played. + +Jordan's voice broke the profound silence. "The patterns in the signal disruptions sync with none other than zenithal star alignments. It's as if... as if these 'meet and greets' were scheduled, predestined by celestial mechanics." + +The statement hung heavy, daring the occupants of the room to unravel its implications. Alex Mercer, his prior military resolve momentarily suspended, absorbed the hypothesis with a visible hunger. "It's like we're adhering to an appointment we never knew we had," he murmured, his heart a drumbeat in his chest. + +Taylor Cruz snorted—a sound that clattered against the high concepts like a tumbledown shack in a futurist cityscape. Folding their arms, they glanced between the agents, their apprehension clad in the contempt of practicality. "What we need are facts, not mystic conjecture." + +Alex pivoted on his heel, facing Taylor squarely, and his voice found its edge of steel. "This isn't mysticism, Cruz. It's a hypothesis based on observed phenomena as unpredictable as the place we're standing in." + +Taylor's gaze never wavered, yet the slight twitch at the corner of their mouth belied their taut composure. "If there's a semblance of truth to it, then it's critical intel. But remember, we're not astrologers—we're soldiers and scientists." + +Jordan met Taylor’s gaze with a curt nod, accepting the caution even as the crucible of their intellect smoldered with the fervor of cosmic discovery. Their eyes flicked to Sam, whose steady presence and ready tech affirmed a burgeoning dynamic—the makings of a sentinel, standing guard over the threshold of human understanding and cosmic reality. + +With the projector casting pallid light over their features, each agent became a silhouette of purpose, shadows pillared against the backdrop of an endless universe. The story they were embroiled in would soon demand they plunge into darkness to retrieve the light of knowledge—a light that could very well redraw the shape of their world. + +They left the briefing room with a shared silence, each pondering the vast weave of celestial intent and terrestrial response, sensing that the galactic appointment to which they'd unwittingly RSVP’d was more insistent—and more threatening—than any operation they’d faced before. + +\* + +As the Paranormal Military Squad team convened in the heart of the Dulce military complex, an air of bristling expectation clung to the walls of the underground sanctum. Alex Mercer’s brow furrowed while watching his companions—Jordan Hayes, diligently setting up their makeshift lab station, and Sam Rivera meticulously checking the communication relays they had restored. Taylor Cruz observed with hawk-like focus, yet to betray the strain that their command posed on them. + +The gravity of the mission had shifted, deepened; each member of the team felt its pull, tethered to the understanding that they were now part of a larger narrative—a cosmic play with Earth as a stage and the human race unwitting actors. + +Jordan paused, a tension creeping across their shoulders as they aligned the satellite data with the alien message that had been decoded. "The instructions in this message," Jordan started, the timbre of their voice betraying their usual composure. "They're coordinates and... a warning." + +Sam leaned in, their eyes widening behind the glow of their laptop screen. "A warning? Like, ‘stay away from’, or ‘beware of’...?" Their words trailed off, uncertainty a new companion in their lexicon. + +Alex exhaled slowly, his mind racing to connect the dots. "It doesn't matter which," he said, decisive yet contemplative. "What matters is we understand intent. Are we being warned out of concern, or are we stumbling upon a threat?" + +Cruz’s iron-clad facade momentarily cracked, a fleeting glimpse of vulnerability flashing through their eyes. "We need to know if this entails additional risk to the operation," they said, directing their gaze specifically at Alex. "Mercer, I rely on you to keep the team grounded. No one goes off-course." + +Their reminder seemed both a command and a plea—rooted in an understanding that each member of the team now faced the duality of their roles, protectors of earthly secrets and heralds of potentially devastating revelations. + +Sam's fingers stilled mid-type, their task forgotten as they absorbed the weight of the unfolding reality. "We're the first line of defense... or detection," they mused half to themselves, a growing sense of agency within the larger play they were cast into. + +Jordan returned to the data, more resolute in their actions. The warning, whether cautionary or dire, was a beacon they no longer could ignore; its light casting aside shadows of doubt and igniting a collective purpose within the team. + +Alex watched Jordan and Sam, feeling a brotherhood in their shared quest. As Cruz paced, poised on the cusp of decisions that would mark their career and perhaps the fate of many, Alex knew the narrative had changed. They were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve. + +Tension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril. + +Their connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer’s latter instincts gained precedence— the team’s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly hierarchies but by the pulsing symphony of the universe itself. + +\* + +The desert night loomed eerily still as echoes of hidden activity reverberated deep beneath the bleak sands of New Mexico. Diverting his gaze from the array of sensors before him, Jordan Hayes allowed a rare breath, deep and anxious. Turning to Alex Mercer's focused silhouette, the nocturnal landscape illuminated softly by makeshift floodlights, Jordan felt the syncopated tempo of apprehension and exhilaration jockey for primacy within. + +"The closer we get to unlocking these messages, the more I feel like we're peeling back layers of reality itself," Jordan confided, eyes not leaving the monitors that presented a constellation of data points. + +"Yes," Alex replied, his voice steady as he considered the implications of their discovery. "And we have to be ready for whatever we find beneath those layers. Whether it's a breakthrough or a Pandora's Box." + +Silence settled between them, broken only by the occasional buzz of communications equipment attempting to bridge terrestrial and extraterrestrial intelligences. Tense moments drifted by, laden with the expectant weight of near breakthrough, when a soft chime signaled an incoming transmission -- a rare sound that set every agent on high alert. + +Absent was the voice of Washington or Paranormal Military Squad command. Instead, a rhythmic series of pulses and tones filled the air, deliberately patterned, unmistakably non-human. + +Sam Rivera adjusted the sensitivity of the decoding equipment, their hands shaking with anticipation as much as focus. "I have it!" they announced, the signal transforming under their expertise into a sequence of visual symbols on the screen before them. + +Their shared excitement was palpable, a kinetic force resonating between the team members as they crowded around the display. + +"What does it say?" Taylor Cruz demanded, the urgency in his tone scraping against the newfound wonderment. + +Interpreting the alien syntax required not only decoding but intuition and empathy. The words that emerged upon the screen were at once coherent and enigmatic: "*Voyage. Convergence. Peril.*" + +The stark simplicity of the message struck them collectively, a chill breeze wafting through their resolve. + +Alex stepped forward, piecing together the cryptic communication with a growing sense of obligation. "It’s a call to action," he deduced, "or possibly a summons." + +Jordan's gaze met Alex’s, both understanding that this was no longer an investigation or mere extraction of hidden truths. This was humanity's unwitting enlistment into a galactic dialogue that defied boundaries of nation, creed, or protocol. + +Sam's eyes were aglow, not with fear, but with the profound acceptance of inevitability that comes with groundbreaking revelation. Moreover, within Taylor's stern exterior churned the seed of reluctant admiration for the unclassified, the uncharted realms they were approaching. + +Together, they accepted the pivot in their mission, readjusting their objectives from exploration to engagement, and from isolation to a communal outreach beyond the stars. As dawn's first light threatened the horizon, it became clear that they were no longer merely operatives of a clandestine governmental faction—they were delegates on behalf of Earth, embarking on a voyage orchestrated by destinies unrelated to the mere geopolitics of their world. + +Turning to each other, their silhouettes sketched against the coming dawn, the agents recognized the transformation within and amongst them. They were bound by more than duty—they were intricately woven into the fabric of an unfolding cosmic opera, one in which they had been granted an undeniable role. And as they set course for the coordinates that beckoned them like a distant siren's call, it was with a solemn dedication to not only uncover the mysteries ahead but to navigate the convergence, and the peril, as unified emissaries of a world on the cusp of a broader understanding. + +\* + +Beneath the hum of the fluorescent lights and the vigilance of silent monitors, Alex Mercer stood with his team in the threshold of the base's command center, their faces etched with the fatigue of hours spent unraveling galactic mysteries. Jordan Hayes broke the stillness with a delicate fusion of disbelief and resolve. "The signal..." they began, their tone deliberate, "it’s evolving. It’s not just sending a message—it’s responding to us." + +Taylor Cruz leaned over the console, their eyes narrowing with intrigue and a flicker of unease, studying the alternating patterns on the screen. "Responding? Like it’s alive?" Taylor asked, a question that bordered on the edge of wonder and alarm. + +Sam Rivera’s gaze was locked onto their interface, a digital orchestra at their fingertips. "It could be some form of advanced AI. Or something else entirely," they contributed, a note of exhilaration betraying the gravity of the situation. + +Alex paced before the terminal, absorbing the enormity of their predicament. Their mission—once rooted in the solid ground of military discipline and covert operations—had transcended into an encounter of unprecedented import. "We need to be cautious," he advised, his voice a low rumble of cautious strategy. "If this signal is intelligent, how we interact with it could dictate the outcome of this entire operation." + +Jordan met Alex's gaze with a nod, the weight of the responsibility shared and accepted. "We have protocols for first contact, but nothing for... this," Jordan admitted. The room was gripped with tension, each breath seemingly louder than the last. + +Then, with a sudden burst that filled the command center, the signal coalesced into a clear and distinct pattern which replicated and expanded, its complexity revealing the hand—or mind—of an intelligent architect. + +Taylor's instinct for command surged forth. "Prepare to record and analyze. Whatever it is, we need to understand it—" But their words were cut short as the signal surged, enveloping the room in a brief, blinding cascade of light. + +In that pulse of brilliance, a shared revelation coursed through the team. The signal had become a bridge, an extension of unknown consciousness reaching towards them, testing, communicating, searching. + +Alex stepped back from the light, feeling a profound change unravelling within him. The path forward would not be one of confrontation or conquest, but of connection and comprehension. + +Jordan turned to Alex and Taylor, seeing in their faces a reflection of the same metamorphosis taking place within themselves—a movement from observers to participants, from agents to ambassadors. + +With a collective breath, the team faced the kaleidoscope of lights. The alien signal, once a harbinger of enigma, was now a catalyst for transformation—a symphony of light and sound that echoed the beginnings of a new relationship between humanity and the alien unknown. + +And so, with deliberate steps, Alex Mercer led his team into the luminous fray. Science, protocol, and survival instinct harmonized within them, each member poised on the cusp of a new chapter in human history. + +They were no longer merely the instruments of Paranormal Military Squad's will—they were the vanguard of humankind’s first definitive leap into the cosmic community. + +With the last echoes of the signal resonating in the control room, they each embraced the sequencing of the transmission, the dance of extraterrestrial light that now wrote itself into their story. The chapter of Operation: Dulce drew to a close, but the narrative of their destiny had only just begun. + +## Chapter 6 + +\* + +The cool darkness of the command center at Dulce base was a stark contrast to the brewing storm outside, where the unforgiving New Mexico desert winds whispered of the hidden truths that lay buried deep beneath its surface. Dr. Jordan Hayes sat, their eyes fixed on the readout, the frenetic dance of symbols and numbers reflecting off their determined face. They were on the cusp of an epiphany, teetering between the widely accepted laws of physics and the promise of a new cosmic paradigm. + +Alex Mercer watched from across the room, noting the subtle shifts in Jordan’s posture that belied a developing readiness to embrace the unbelievable. “Find something?” Alex’s question, asked with a blend of curiosity and solidarity, bridged the gap between a command and a genuine query among equals. + +Jordan's response was slow, measured against the magnitude of their analysis. “This isn’t random static. It’s a pattern - a repeated sequence phasing in and out but distinctly artificial.” Jordan turned away from the screen, locking eyes with Alex. “This could change everything.” + +Sam Rivera leaned in, their eyes alight with the fires of revelation and a quenchless thirst for understanding. “A pattern means intention. Could it be a message?” + +A figure emerged from the doorway, casting a long shadow into the room - Taylor Cruz. “Intentions can be friendly, or hostile. We shouldn’t forget that,” said Taylor, bringing a dose of their usual pragmatism into the heart of discovery. + +Alex acknowledged Taylor’s caution with a nod, understanding the need to keep their feet grounded even as their spirits soared toward the unknown. “Then let’s be the first to find out which it is." + +The team gathered around the monitors, the soft tapping of Jordan's keystrokes now punctuated by the occasional crackle of Sam's radio equipment. The sound was almost ritualistic, a prelude to humanity’s potential first, knowing foray into a larger universe. + +Jordan’s fingers paused, suspended in mid-air. The signal had evolved, becoming a beacon that somehow felt less alien and more familiar. It was as if the complexities of their message were unfolding into something more accessible, more terrestrial. + +A hushed excitement swept through the room. The transformation suggested an awareness on the part of the unknown senders; a finesse that spoke volumes about their capabilities and perhaps their intentions. + +With the growing realization that they were engaging with an intelligence far exceeding their previous understanding, the team prepared to reach back across the cosmic divide. Prepared or not, they were no longer bystanders in this galactic narrative. They were active correspondents in an exchange that transcended galaxies and welcomed them into an expansive, possibly fraught, interstellar conversation. + +\* + +Inside the cavernous central hub of Dulce military base, Dr. Jordan Hayes stood in near-darkness, surrounded by a nest of cables and monitors that buzzed with silent, cryptic life. Jordan's eyes narrowed to focus on the sequences that danced across the screen—patterns that could unravel the cosmic enigma surrounding them. + +Alex Mercer approached with his characteristic stride, a signal of reliability in the chaos. "Status report, Dr. Hayes?" he inquired, his voice low, almost blending into the soundscape of beeping consoles and swirling fans. + +"We're on the brink of unravelling the signal's origin," Jordan replied, the weight of implications heavy in their tone. "There's intelligence behind it, a thought process alien to our own." + +As if summoned by their analysis, Taylor Cruz approached with authority radiating from every pore. "Understand this, we need to know if it's friend or foe. Don't get wrapped up in the existential—our lives may depend on the answers you provide." + +Sam Rivera, their hands adroitly adjusting a device to fine-tune the signal, chimed in with optimism undercut by anxious anticipation. "We're deciphering the comm encryption. Soon, we'll have a channel open—not just listening in, but speaking back." + +Alex nodded his understanding, his strategic mind processing the tactical implications while grappling with the more profound humanistic impact. "When we do, we'll tread carefully, communicate with purpose," he reassured the team. + +The operation had evolved rapidly, from a stealthy incursion into a clandestine labyrinth to an exchange with an extraterrestrial intellect. Their earlier trepidation transformed into determined focus, as they prepared to extend humanity’s hand into the vast unknown. + +An alert on one of the monitor stations snapped the team into alarm. The signal had not simply been waiting—it had been calculating. Now, it reached its crescendo, demanding their attention with a provocative urgency. + +Jordan's fingers raced over the keyboard, their eyes simultaneously interpreting data and sharing directives. "It’s a linguistic lock, a test of comprehension. We crack this, we establish dialogue." + +Taylor's presence was a beacon of steely resolve. "Then let’s solve it. This is what we trained for—the unknown." + +Alex and Sam exchanged a look that telegraphed their shared determination—this was not only the mission they had trained for; it was the mission they had been destined for. + +Together, the Paranormal Military Squad team leaned into the challenge, their minds honing in on the complex patterns with a singular goal: to unlock the conversation with an intelligence that had already begun to shift the foundations of what they knew, or thought they knew, about the universe. + +In a symphony of clicks and murmurs, they worked, knowing they were about to make a giant leap not just for themselves or Paranormal Military Squad, but for all of humanity. As the final pieces fell into place, Dulce's militaristic silence was shattered by the sound of intergalactic contact—by the sound of history being made. + +## Chapter 7 + +In the enclosed space of Dulce’s command center, the air was thick with anticipation, each team member poised to tread the razor's edge between scientific breakthrough and galactic peril. Dr. Jordan Hayes focused intently on the screen, their fingers tapping a staccato rhythm against the keyboard as lines of alien code cascaded down the monitor. + +Alex Mercer's steely gaze surveyed the room, stopping on each member of his team. "Thoughts?" he asked, echoing the unspoken tension. His question, while directed at the group, lingered on Jordan—acknowledging their expertise and inviting collaboration rather than dictating orders. + +Jordan’s brow furrowed, an indicator of the mental gymnastics being performed. "It's unprecedented," they finally said, their voice a testament to the gravity of the moment. "Behavioral algorithms... if we're right, this code could reveal extraterrestrial thought patterns." + +Before anyone could react, Taylor Cruz interjected with the assertiveness of someone accustomed to commandeering the discourse. "Then let’s ensure we’re deciphering it correctly," Taylor stated, their tone suggesting they were still battling to maintain control over an increasingly alien situation. + +Sam Rivera hovered near the mainframe, youthful energy barely contained under the surface. "What if it’s more than just a message? What if they’re trying to extend consciousness across the stars?" + +The room fell into a contemplative silence, broken only by the hum of electronic equipment and the distant thud of secured doors locking in rhythm. The weight of responsibility rested on each agent's shoulders—a heaviness palpable in the air they shared. + +Alex stepped forward, reaching a subtle decision, one dictated by foresight and the humanity nestled at the core of their mission. "We approach with the aim to understand, not to confront," he said, softening his military bearing into a more diplomatic stance. + +Jordan nodded, appreciating the leadership that Alex displayed in the face of the unknown, and turned back to the cryptic data. Here, before them all, was a tangible piece of evidence—proof of an extraterrestrial sentience that had outreached the bounds of their expectations. + +Taylor took a breath, simultaneously exuding a sense of preparedness and venturing into the unknown alongside their peers. "Then let’s do what Paranormal Military Squad does best—investigate and adapt," Taylor added, finding comfort in the familiar even as they stood on the cusp of an unprecedented alchemy of science and mystery. + +The team leaned into their respective roles, driven by the urgency of the assignment and the pull of an insatiable curiosity. Sam offered a grin that belied the tension, a youthfulness that reminded them all of the profound excitement nested within the terror of the unknown. + +Quietly but resolutely, they turned back to their instruments, each of them a sentinel on the threshold of a new reality. The once implicit lines of command were now woven into a shared tapestry of hierarchy and camaraderie. As they danced with the unknown, they were beacons of sentient endeavor, casting the light of human consciousness into the vast darkness that called to them. + +\* + +\* + +Dulce Base's cavernous darkness was pierced by the sharp luminescence of monitors, casting an electric glow onto the faces of those who dared to unearth its secrets. Dr. Jordan Hayes stood motionless, eyes glazed in concentration, their mind a nexus where terrestrial science battled with celestial unknowns. + +Alex Mercer watched from a slight distance, the weight of command tangible upon his shoulders, though lightened by the shared burden now held amongst them. "We could be on the frontier of a new kind of diplomacy," he mused aloud, giving voice to the moment's gravity. + +At those words, Jordan's trance broke. "If that's the case, then these communications," Jordan motioned to the stream of data, "are our olive branch across the cosmos." + +Taylor Cruz, who paced with restless energy, halted and faced the team—his stoicism marred by the erratic dance of lights reflected in his eyes. "An olive branch, or an invitation to a battlefield?" he posed, ever the strategist, his words laced with a hint of cynicism. + +Sam Rivera, nestled amongst an array of equipment, licked their lips—a mixture of nerves and anticipation palpable. "We're mapping out something incredible here. Whether it's peace or war, we're the cartographers." + +Silence enveloped them like the expanse of space itself, each member contemplating the chasms they might bridge—or the abysses into which they might unwittingly descend. + +Alex's demeanor assumed a quiet resolve—the profound knowledge that this mission was as much about navigating uncharted philosophical territories as it was about ensuring survival. "Whichever it proves to be, we'll face it. Prepared, unified." + +A nod passed between Jordan and Alex, a silent exchange of mutual respect and shared mission. Sam, buoyed by the weighty encounters of the mind and machinery, entered keystrokes with a fervor that seemed to bring them ever closer to the alien mind. + +They stood there, the Paranormal Military Squad team, not just as guardians of homeworld secrets or as soldiers of clandestine wars, but as humankind's chosen few at the fulcrum of history—a history that was now unfolding to the rhythm of otherworldly codes. + +Each revelation, each parsed symbol, inched them toward the line between the earthly and otherworldly. And as they stood on this precipice of cosmic negotiations, it was clear the ensuing dialogue would not just shape the future of Paranormal Military Squad—it could very well redefine the parameters of human existence. + +\* + +The hum of advanced computational systems tingling with cryptic transmissions framed the ambiance of Dulce's mainframe chamber. Jordan Hayes, fingers hovering over a console dense with blinking lights, furrowed their brow as sequences of alien data streamed across the screen. + +Alex materialized behind them, his presence a stable beacon amidst the technological whirlwind. "Look for patterns, anomalies. Anything that might resemble a handshake protocol in their communications," he directed, his voice a low thrum, reverberating with cautious optimism. + +Jordan cast a glance over their shoulder, acknowledging Alex's contribution with the shared understanding of colleagues who had transcended mere professional acquaintance. "I’m isolating sequences that seem to recur with more intention than static. If these are their ‘handshakes,’ then we might just be making first contact," they remarked, their focus returning to the screen with renewed vigor. + +From the other end of the room, where shadows married the artificial light, Sam's voice crackled through the static of nearby speakers, "Don't forget the anomalies we detected earlier. Each one could be a word, a sentence, or even a concept untranslatable to our current understandings." + +Resolute, Taylor Cruz stood at Jordan's other side, a stoic figure wrestling with the implications of their mission. "Keep pursuing this line," Taylor instructed, an undercurrent of intensity carried forth in their otherwise composed demeanor. "And remember, this isn't just about making contact; it's about securing knowledge for humanity." + +Alex offered a nod that spoke volumes, conveying his understanding of the stakes at play. Here, in this chamber of possibility, the team's actions would determine if humanity stood at the brink of a new age of understanding or the onset of an unprecedented threat. + +Every second thrummed with significance as Jordan and Sam worked in tandem, each keystroke a foray into the unknown. Taylor observed with a commander's scrutiny, the gravity of their role sustaining them against the waves of ambiguity breaking against their resolve. + +Pivotal moments come rarely in the course of human events but here, amidst the electronic symphony of a stalwart command center, lay the incepting notes of a cosmic overture. The harmony between human and alien, between Paranormal Military Squad and the vast reaches of space, began its first tentative measures, with each member of the team a vital instrument in a celestial ensemble yet to be fully heard. + +\* + +The crisp air within the mainframe room of Dulce base seemed to hum with unspoken possibilities. Jordan Hayes was the centerpiece of focus, their hands dancing methodically over the console as streams of otherworldly code cascaded down monitors, each flicker a potential key to the cosmic doors they were inching open. + +Alex Mercer watched, posture relaxed but eyes sharp. "Remember, this could be our first introduction, maybe even our first impression," he said, mindful of the gravity carried by each action they made henceforth. + +A hint of a smile touched Jordan's face, a small acknowledgment of the monumental task at hand. "Understood. I'm balancing the signal's syntax with our algorithms. If we're interpreting this correctly, it could be... well, an invitation." + +Into the electric tension of the chamber walked Taylor Cruz, their silhouette a sharp contrast against the cool lighting, radiating a presence that spoke of command and chilly tenacity. "An invitation, or a challenge?” Taylor questioned, the weight of their suspicion casting a different tint on the cascading data. + +Sam Rivera, in a corner arrayed with sophisticated equipment, piped up, their voice a buoyant note amidst the tentative atmosphere. "Either way, it's a connection. One that we're uniquely positioned to navigate," they remarked with an air of optimism threading through the uncertainty. + +Alex channeled the strengths of his team into the core of their approach, his leadership adapting to the contours of an unprecedented scenario. "Cautious and curious," he reflected aloud, shaping a strategy that balanced their thirst for comprehension with the prudence required in addressing the unknown. + +Jordan, hands momentarily at rest, looked up. The signal was more than a sequence of bits and commands—it was a riddle wrapped in the depths of space-time, and they were on the cusp of parsing its meaning. + +Taylor, hardly a step away, nodded in silent agreement. The implications of their findings might very well direct the course of human destiny from this point onward. + +Finding a tempo among themselves, the Dulce team was a confluence of ambition and acumen, each member intuitive to the beats of discovery. The chamber around them held untold stories, secrets coaxed from the stars, that now, led by Paranormal Military Squad's finest, began to unravel. + +The future in those moments was unwritten, a narrative scribed not in the dust of desert confines, but in the potential for interstellar diplomacy and understanding. As they prepared to script humanity's next chapter, the room seemed to pulse with the heartbeat of a story far greater than the sum of its parts. + +## Chapter 8 + +The grit of an earthbound dust storm contrasted sharply with the pristine sterility of the underground command center. Alex Mercer, eyes set with fervent determination, stood over Jordan Hayes, whose fingers danced across the keyboard with rapid purpose. Monitoring the progression of alien code unraveling before them, Mercer spoke with a tempered urgency, "Keep it steady, Jordan. We might be initiating the first true interspecies communication bridge here. It's all about finesse now." + +Taylor Cruz, the embodiment of military precision, surveyed the room with a calculated gaze from their vigil beside an array of glimmering screens. "Remember, these could be delicate negotiations -- or coded threats. Stay sharp," Cruz added, their voice cool as polished steel. + +Jordan, with a silent nod, recognized the gravity of both stances. Gravitating between scientific acuity and diplomatic caution, they replied, "The sequence is aligning—syncing with our comms. It's looking more and more like direct engagement." + +Amid the banks of electronic machinery, the thrumming pulse of an impending interspecies signal exchange, Sam Rivera interjected with a youthful zeal that cut through the weighty atmosphere, "It's not just an exchange. It's a... symphony. It's as if they're teaching us their language through modulation." + +A moment of profound silence swept over the team. The isolation of their location, deep within the top-secret labyrinth of Dulce, became suffused with an almost palpable sense of historical significance. + +"Then our response needs to be equally symphonic," Alex uttered, contemplating the awe-inspiring transmutation of their task from a simple recovery mission to a full-blown cosmic concerto. + +With a renewed sense of wonder tempered by caution, the Paranormal Military Squad team found themselves harmonizing a delicate balance between envoys and interpreters. The long shadow cast by their duty was now illuminated by the brilliant glow of otherworldly dialogue. + +In this carefully orchestrated march towards the unknown, each individual's expertise became critical notes in a larger melody. The narrative of human achievement, so often defined by solitary pursuits, now emerged as a collaborative opus, each member of the team a maestro in their right. + +The protocols of encounters, the mathematics of languages, and the poetics of connection all fused into a singular moment of convergence. The echo of their efforts reverberated back to them, not through the cavernous base's concrete walls, but from light-years away, in the form of a reply, intangible yet infinitely profound. + +\* + +Amidst the hum of the supercomputers and the faint static from the scrambled transmissions, Alex Mercer cast a thoughtful glance across the dimly lit room toward where Dr. Jordan Hayes was methodically adjusting the archaic dials of the decryption machine. "Any progress?" he asked, his tone conveying both impatience and the deep-seated respect born from countless shared challenges. + +Jordan did not look up, their gaze remained locked on the flickering lights that represented a dialogue suspended between worlds. Their fingers ceased their dance, hovering meditatively over the controls. "We might be on the cusp of a breakthrough," Jordan suggested. "The signal... it's evolved. It's reflexive now, responsive in a way that suggests sentience." + +Taylor Cruz's familiar sharp strides approached the two, breaking the rhythm of soft beeps. "Responsive is good, if it means understanding," Taylor said, head tilted as they peered at the encryption data scrolling by. "But remember, comprehension can bring revelation or conflict." + +Sam Rivera’s youthful voice permeated the tension, brimming with an excitement edged by the enormity of what they faced. "If it's truly sentient, we're not just cracking a code; we're learning how to converse with an entirely new form of consciousness," they chimed in, the weight of history not lost on the zealous astrotechnician. + +Alex nodded, his thoughts alighting on potential strategies for navigating the conversation they were cultivating with the unfathomable. "We need to keep that conversation going, echo its patterns, and speak its language," he resolved, knowing the delicate nature of their work merited every ounce of their collective acumen. + +The chamber now was a crucible, forging within it the future narrative of human contact with the unknown. Every signal pulse they sent out was an invitation for understanding, and every echo back a step closer to bridging the cosmic divide. And so, together, they stood - agents in Paranormal Military Squad's clandestine ranks, united by purpose, sculpting humanity’s first sonnets into the void. + +\* + +#### Knowledge graph updates + +- (Jordan Hayes, Interprets, Communications as cosmic diplomacy, Moderate) + +- (Taylor Cruz, Questions, Potential aggressiveness of alien intent, Minor) + +- (Sam Rivera, Expresses, Optimism about forming a connection, Minor) + +- (Alex Mercer, Adopts, Balanced strategy for contact, Moderate) + +- (Paranormal Military Squad team, Navigates, Beats of cosmic discovery, Moderate) + +- (Paranormal Military Squad team, Prepares, To script humanity's interstellar narrative, Major) + +## Chapter 9 + +The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought. + +Dr. Jordan Hayes, whose hands had been steadfastly working the decryption algorithms, paused and looked up at Alex. "We're through the next layer of encryption," Jordan announced, a mixture of pride and gravitas in their tone. "It's communicating. It's... aware." + +A shadow momentarily clouded Alex's determined features—awareness implied so much more than mere intelligence. "Aware and reactive or aware and proactive?" he queried, his experience anticipating the pivotal importance of intention. + +"Unknown at this stage," Taylor Cruz interjected, looking up from a datasheet. "But I urge caution. We tread the line between breakthrough and disaster with each keystroke." + +Sam Rivera, ever the source of technological acumen, added their voice to the conversation. "The signal's adapting every time we interact with it. Like a conversation where both parties are learning each other's language in real time." + +Alex leaned in, rested a hand on Jordan's shoulder—a sign of companionship and an affirmation of trust. "Keep the communication channels open. But let no message, no pulse go unchecked. This could be our Rosetta Stone or our Tower of Babel." + +Silence fell over them, a momentary lull as each member of the team contemplated the historic weight of their task. Yet, it was impregnated with a tangible sense of excitement—a collective energy that thrummed through the air just as palpably as the electric current through the banks of machines surrounding them. + +They continued their work, squaring shoulders against the magnitude of their undertaking. The agents were standing not just at the precipice of a new chapter for Paranormal Military Squad but for all of humanity. For now, they communicated with powerful unknowns, but with each exchange, they were etching the first words of a dialogue that might forever alter humanity's place in the cosmos. + +\* + +\* + +The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought. + +Dr. Jordan Hayes, whose hands had been steadfastly working the decryption algorithms, paused and looked up at Alex. "We're through the next layer of encryption," Jordan announced, a mixture of pride and gravitas in their tone. "It's communicating. It's... aware." + +A shadow momentarily clouded Alex's determined features—awareness implied so much more than mere intelligence. "Aware and reactive or aware and proactive?" he queried, his experience anticipating the pivotal importance of intention. + +"Unknown at this stage," Taylor Cruz interjected, looking up from a datasheet. "But I urge caution. We tread the line between breakthrough and disaster with each keystroke." + +Sam Rivera, ever the source of technological acumen, added their voice to the conversation. "The signal's adapting every time we interact with it. Like a conversation where both parties are learning each other's language in real time." + +Alex leaned in, rested a hand on Jordan's shoulder—a sign of companionship and an affirmation of trust. "Keep the communication channels open. But let no message, no pulse go unchecked. This could be our Rosetta Stone or our Tower of Babel." + +Silence fell over them, a momentary lull as each member of the team contemplated the historic weight of their task. Yet, it was impregnated with a tangible sense of excitement—a collective energy that thrummed through the air just as palpably as the electric current through the banks of machines surrounding them. + +They continued their work, squaring shoulders against the magnitude of their undertaking. The agents were standing not just at the precipice of a new chapter for Paranormal Military Squad but for all of humanity. For now, they communicated with powerful unknowns, but with each exchange, they were etching the first words of a dialogue that might forever alter humanity's place in the cosmos. + +\* + +Alex Mercer's eyes were fixed on the monitors, the reflected light casting an ethereal glow across his stoic face. The room buzzed with tension, a cacophony of low hums and electronic beeps that underscored the historic nature of their actions. He moved to where Dr. Jordan Hayes was immersed in their work, scrutinizing the alien code streaming rapidly down the terminal. + +"Find anything that might look like an entry point or a... digital handshake?" Alex asked, his voice steady, betraying none of the tension gripping his chest. + +Jordan looked up briefly, their expression weary yet intense, "Potentially. It's as if the code is anticipating our input, modifying itself in real-time. I've never seen anything like it." + +From across the room, Taylor Cruz's sharp voice cut through the hum. "Then it's learning or, possibly worse, baiting us. Proceed with extreme caution," they commanded, their firm stance reinforcing the gravity of the situation. + +Sam Rivera, surrounded by a cascade of screens and interfaces, added, "It's almost organic in its complexity. Any minute now, and I might have a way in." + +A slight nod was Alex's immediate response, his mind racing through the potential scenarios. "Everyone, stay alert. This could be the beginning of something profound." His seasoned eyes never left the unfolding drama on the monitors. + +The room fell silent, the air heavy with unspoken questions. Were they mere moments away from unlocking an otherworldly dialogue? Or was it a Pandora's box that, once opened, could not be closed? + +Alex moved closer to the main console, his fingers hovering over the command keys. With the precision of a maestro orchestrating a symphony, he communicated silently with Jordan – respectful of their expertise, aware that the next move could alter the course of human history. + +Jordan met his gaze, nodding sharply, and refocused on the task. The signal seemed to pulse with sentient curiosity, drawing them further into its intricate web. + +A sudden flurry of alerts and the intensifying glow of monitors heralded that they had bridged a technological chasm. The alien intelligence on the other end was no longer a distant enigma – it was an active participant, responding to their digital overtures with an unknown agenda. + +The team's meticulous efforts had led them to a momentous threshold. Beyond lay unprecedented contact – a nexus of curiosity and potential peril. Within the confines of the base, against the backdrop of a silent desert night, the Paranormal Military Squad operatives became mediators of Earth's bid for cosmic relevance, their every action now a gesture in the grand dance of intergalactic relations. + +## Chapter 10 + +The corridors of the Dulce military base, now silent, echoed with a history of whispered conspiracies and furtive movements. But in the command center, a delicate tapestry of light and sound was being woven as the echoes of cosmic dialogue resonated through the high-tech enclave. Dr. Jordan Hayes, now leading the efforts, called out from their workstation, "I’ve isolated the signal's harmonics. It's more than a call; it's a song, an interstellar siren’s call." + +Alex Mercer, steady and resilient in the face of the incomprehensible, acknowledged with a quiet nod, "A song that we need to learn—quickly." His eyes, heavy with responsibility, scanned the room, watching his team work tirelessly at the intersection of science and speculation. + +Sam Rivera, dulled by fatigue yet driven by unshakeable resolve, manipulated a complex array of audio interfaces. "There's a pattern, a repeating motif. It's structured, intentional," they muttered, their revelation a bridge between the known and the unimaginable. + +Taylor Cruz, a figure of central authority, paced the length of the room, their usual unflappable demeanor betraying a rare flicker of apprehension. "We should be wary of the sirens’ call," Taylor interjected, invoking myths of old as a cautionary metaphor. "We don't want to crash upon unseen shores." + +Undeterred, Jordan cast a determined glance at the team. "We navigate by starlight now, not by the limited light of our previous understanding." Their voice was a beacon, charting a course through unchartered realities. + +Every individual was acutely aware that each moment in that room was a conduit to an epochal shift for civilization. The mysterious signals, once distant and alien, had coalesced into complex and harmonious oscillations—beacons of an extraterrestrial intellect inviting Earth to join in a cosmic consortium. + +Silently, Alex approached the mainframe, his trained fingers aligning with the console’s mechanisms. The room watched in collective breathlessness as he set the frequency in motion, an introductory phrase to an otherworldly melody—a symphony that could bind worlds or spell devastation for all they knew. + +In the control room of Dulce, amongst whispered legends and the quiet hum of machines, humanity's ambassadors now stood, stretching their hands into the void, reaching for the hand that would either pull them into the light of new stars or into the maw of darkness between them. + +\* + +Underground, the Dulce facility's command center was awash with frenetic energy, a stark juxtaposition against the silent, decrepit corridors that enveloped them. The air hummed with anticipation as Dr. Jordan Hayes and Alex Mercer hunched over a console. The sterile light from the monitors cast an otherworldly glow upon their faces, now reflecting a mosaic of alien characters rapidly translating across the screen. + +"The patterns are evolving," Jordan murmured, concentration etched into their every feature. "It’s as if our attempts to decrypt have accelerated its learning. It’s adapting to us." + +Alex, who stood steadfast behind Jordan, felt a tinge of uncharted fear quickly quelled by the fire of discovery raging within him. "Keep it up," he urged. "But whatever this is becoming, we need to ensure it remains within our control." + +Taylor Cruz interjected, their voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data. + +"It's like it's learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives ‘talking to strangers’ a whole new meaning." + +Alex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back." + +Together, they stood on the edge of the unknown, forging humanity’s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history. + +The encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation of their investigative strategies. The air turned heavy with the scent of electricity and ambition as they closed in on a pivotal response. + +As the signal’s intelligence—whether artificial or biological—grew more profound, so too did the realization that their mission had morphed from passive observation to active engagement. There was no turning back now. Each agent embraced their part in the delicate dance of an interstellar exchange that could change everything they thought they knew about life, intelligence, and the dark void beyond Earth's atmosphere. + +\* + +The underground halls of Dulce Base, usually buzzing with covert operations, now thrummed with a different kind of energy, an electric mix of fear and fascination. At the heart of the base, in a room shielded from the world’s eyes, Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera huddled around a bank of monitors. Each screen flickered erratically with the alien script that had become the center of their lives—and perhaps the pivot on which humanity’s future would turn. + +Jordan's eyes never wavered from the displays, their expression was one of rapt concentration, interspersed with flashes of revelation. "We're conversing with the stars," they whispered, almost to themselves. The words hung in the air, a testament to the awe-inspiring strangeness of the situation. + +"The language is morphing; changing its structure with every exchange we have," Sam chimed in, enthusiasm tinged with the solemnity of the occasion. "It's like witnessing the birth of a new form of dialogue—one that spans galaxies." + +Taylor, despite the situation's precariousness, maintained an appearance of ironclad composure. "Keep the communication stream secured and monitored. We don't know what we're dealing with yet," they reminded the team, a bastion of protocol amidst uncertainty. + +Alex watched his team expand the parameters of human achievement; their work here would possibly define an era. "This is untrodden territory," he acknowledged, "and in every word we script, in every response we decode, we're drawing a map that others will follow." + +Jordan turned to Alex, a nod acknowledging the shared responsibility of this moment. They had embarked on a new voyage, an odyssey not of the body, but of the intellect and spirit. No longer explorers of the Earthly realm, they had been promoted by circumstance to ambassadors of humanity in a silent and boundless ocean. + +A sudden pulse of energy from the monitors signaled a breakthrough; the language had not only adapted but it seemed to resonate, to harmonize with their attempts at making contact. The alien script now sprawled across the screens didn't just ask to be understood—it invited interpretation, collaboration, maybe even companionship across the cold distances of space. + +As they stood before the precipice of first contact, Paranormal Military Squad's finest became the architects of a symphony meant to echo through the cosmos. But more than architects, they were the first to play the notes of this cosmic composition, daring to believe that on the other end, someone—or something—might be listening, ready to join the chorus. + +\* + +The underground command center of Dulce Base, once pulsing with clandestine operations, now resonated with the charge of an impending cosmic threshold. Encircled by banks of whirring machinery, each monitor flickered erratically with alien script that had occupied center stage in the lives of Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera. + +Jordan's gaze didn’t flit for even a moment from the screens, where indiscernible alien messages ebbed and flowed like the tide. The ciphers and symbols cascaded down as they tweaked the algorithmic sliders. "This sequence here," Jordan began, voice both hushed and heavy, "it’s not just transmitting; it resonates—it's designed to be felt." + +The room took a collective breath, the remarkable implication hanging in the air like a careful revelation. Sam Rivera was the first to respond, their voice alive with ingenuity: "It's a form of communication stretching well beyond words. We need to respond in kind—the whole array of human expression might be at play here." + +Taylor's eyes remained fixed on the figures playing across the data sheets. "If that's the case," Taylor intoned pragmatically, "we must tread carefully. This is no longer just about being heard—it's about being understood." + +Alex watched his team, each a fulcrum of insight and expertise, and felt the solemnity of the role they were about to assume. "Then we'll ensure our message is clear and full. Our humanity is our strength in this dialogue," he declared, the depths of his experience fueling a commanding reassurance. + +The anticipation was palpable as the agents contemplated the vastness of their endeavor. They were not merely probing at the secrets of the planar cosmos—they were negotiating across the starry expanse, extending to distant intelligences the full spectrum of human curiosity and compassion. + +A symphony of beeping consoles orchestrated their next steps as they prepared to articulate their interplanetary overture. The rhythmic tapping of Jordan's keystrokes set the tempo for an undertaking that traversed beyond algorithms and encryption. + +The base withstood time and whispered secrets of its own, but none so grand as this moment of creation—an invitation to the universe that promised to echo through both the echoes of space and the annals of human history. + +## Chapter 11 + +The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought. + +\* + +The thrum of the colossal machinery vibrated through the subterranean facility as Alex Mercer stood amidst the whispers of technology, each carrying voices from worlds apart. He watched as Sam Rivera adjusted a complex array of cosmic translators, their expression a mixture of anticipation and awe. + +"Are we ready, Mercer?" Taylor Cruz asked, the soft glow of the command center consoles reflecting upon their stern face. + +Alex turned towards Taylor, his eyes holding a depth that betrayed the enormity of the threshold they were about to cross. "This is it," he said. "Initiate the protocol. It's time we answer the cosmos." + +Jordan Hayes, stationed at the mainframe, typed rhythmically, a blue hue painting their focused features. The eerie silence that had settled over the team was interrupted by a visceral sound—humankind's response to the alien dialogue, now streaming into the abyss. + +The control room, once a fortress of solitude, erupted into an oasis of life. Lights flickered in tandem, echoing the symphony of interstellar communication. They stood together at the edge of discovery, facing the symmetry and discord of a universe unknown. + +"If we're right, we've just become Earth's first emissaries to a celestial congress we're only beginning to comprehend," Jordan's voice was somber, resonating with a mix of trepidation and honor. + +The room filled with the resonance of human and alien minds converging, creating a new narrative within the fathomless expanse of existence. Paranormal Military Squad, once protectors of Earth's clandestine secrets, had now become the tether linking humanity to the cosmic fold. + +\* + +The underground command center of Dulce Base, once pulsing with covert operations, now resonated with the charge of an impending cosmic threshold. Encircled by banks of whirring machinery, each monitor flickered erratically with alien script that had occupied center stage in the lives of Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera. + +Jordan's gaze didn’t flit for even a moment from the screens, where indiscernible alien messages ebbed and flowed like the tide. The ciphers and symbols cascaded down as they tweaked the algorithmic sliders. "This sequence here," Jordan began, voice both hushed and heavy, "it’s not just transmitting; it resonates—it's designed to be felt." + +The room took a collective breath, the remarkable implication hanging in the air like a careful revelation. Sam Rivera was the first to respond, their voice alive with ingenuity: "It's a form of communication stretching well beyond words. We need to respond in kind—the whole array of human expression might be at play here." + +Taylor's eyes remained fixed on the figures playing across the data sheets. "If that's the case," Taylor intoned pragmatically, "we must tread carefully. This is no longer just about being heard—it's about being understood." + +Alex watched his team, each a fulcrum of insight and expertise, and felt the solemnity of the role they were about to assume. "Then we'll ensure our message is clear and full. Our humanity is our strength in this dialogue," he declared, the depths of his experience fueling a commanding reassurance. + +The anticipation was palpable as the agents contemplated the vastness of their endeavor. They were not merely probing at the secrets of the planar cosmos—they were negotiating across the starry expanse, extending to distant intelligences the full spectrum of human curiosity and compassion. + +A symphony of beeping consoles orchestrated their next steps as they prepared to articulate their interplanetary overture. The rhythmic tapping of Jordan's keystrokes set the tempo for an undertaking that traversed beyond algorithms and encryption. + +The base withstood time and whispered secrets of its own, but none so grand as this moment of creation—an invitation to the universe that promised to echo through both the echoes of space and the annals of human history. + +## Chapter 12 + +The underground facility of Dulce Base, once shrouded in silence and operational secrecy, now hummed with an energy that cradled the promise of cosmic revelation. Alex Mercer stood pensively by the central terminal, flanked by Dr. Jordan Hayes, Taylor Cruz, and Sam Rivera, each poised at the edge of a history-defining moment. + +Jordan's fingers ghosted across the console, tracing patterns of otherworldly origin. "The signal’s architecture is becoming more complex, resembling aspects of human cognition—recognition, learning, even... empathy?" they postulated with furrowed concern. + +Alex turned his gaze upon Jordan, his voice quiet but resolute, "Empathy could bridge galaxies. Let's harness this connection and proceed with cautious optimism." + +Taylor, ever the sober sentinel, projected a more pragmatic standpoint. "Empathy or not, we are duty-bound to assess the risk to humanity. Every new discovery warrants a measured response." + +The static hiss of communications equipment filled the air, its purpose now transformed into a dialogue with an intelligence beyond the stars. It was Sam, wide-eyed amid the myriad lights and switches, who broke the silence, "We have provisional confirmation of the signal’s intent—initiation. We’re being brought into a broader spectrum of cognizance." + +The chamber lay still for a heartbeat, the Paranormal Military Squad agents steeped in contemplation of the path unfurling before them—a path paved with possibilities of diplomacy or disruption, each step a venture further into the cosmic unknown. + +Alex stepped closer to the viewing monitors, each depicting alien symbols seemingly reaching out from the void. "Initiate the broadcast," he spoke with quiet command. "Our response will mark humanity’s readiness to partake in the wider conversation of conscious beings." + +Amidst the crackling air of expectation, the team wordlessly returned to their stations. They had transcended their roles as protectors of Earth's clandestine lore to become the harbingers of an interstellar parley that could change the existential course of life on their pale blue dot. + +The deep hum of the terminal emitted a signal—a testament to the uncanny reality that Earth was now actively partaking in an exchange not bound by gravity nor the limits of the solar wind. + +Here, in the depths of Dulce, a message from humanity woven from understanding and uncertainty was cast into the firmament, an epitheg of their desire to join the universal dialogue and discover their place among the constellations. + +\* + +The somber depths of the Dulce Base command center stood in stark counterpoint to the animated flurry of activity around the central comms array. Alex Mercer's silhouette loomed behind Dr. Jordan Hayes, who sat with a posture indicating laser focus on the decryption process. A quiet murmur of digital soundscape filled the space, subtly heightened by the anticipation of contact with an intelligence beyond the Earth. + +Jordan's voice was steady, betraying none of the extraordinary nature of their work, "Looking through the signal's pattern, it's evident we’re dealing with a form of intelligence—calculating, mirroring, possibly even understanding." + +Alex's reflection bounced off the darkened screens, his head nodding in silent affirmation. "We’re walking a delicate line. Our response should be thoughtful, measured. We’re ambassadors, not merely explorers." + +Taylor Cruz approached, arms folded, their words slicing through the din of careful keystrokes and soft whirrs, "If there’s even the slightest chance it understands, we can’t afford missteps. The language of the stars might be more absolute than ours." + +From another terminal, Sam Rivera brought youthful vigor to the conversation, "There’s rhythm in these patterns. If this is their way of reaching out, our reply should encapsulate all that we are—all that humanity stands for." + +Looking around at his team, Alex saw resolve etched on every face. The chamber, usually somber and echoing with the quiet steps of covert agents, now felt alive with the heartbeat of discovery. They were not just professionals operating in the gloom; they were a collective standing at the helm of a momentous journey. + +"Let’s begin," he said, returned by the resolve in his voice. "Every second counts." With that, they pressed forward, setting in motion a reply to a conversation billions of years in the making. + +The dance with an unseen partner commenced, each pulse they sent out a step taken with caution and hope. And as those digital pulses journeyed through the black sea of infinity, Earth, for perhaps the first time, joined a pan-galactic dialogue that whispered secrets of the cosmos—secrets that, until now, had been lost in the silent vastness of space. + +\* + +As the team stood in the centralized nerve center of Dulce's underground fortress, the solemn atmosphere was reverent, overseeing systems that engaged with an intelligence from the void. Alex's stance was contemplative as he gazed at Jordan Hayes, who presided over the console, the tension of the moment reaching a tactile fervor. Each rhythmic tap of Hayes's fingers on the keys was a foray into uncharted symphonies of contact. + +Observing Hayes unravel the dense alien encryption, Alex spoke, a diplomatic tenor underpinning his words, "Keep focused on the syntax, dissect its nuances. We're not just decoding signals; we're translating intentions." + +Without diverting from their task, Jordan acknowledged the insight. "Indeed, if their understanding of us is as deep as we hope, we're paving the way for dialogue far beyond our current realm." + +Taylor Cruz, near the rear of the room, provided a steady oversight. "As horizonless as our prospects may seem," Taylor intoned, "remain diligent. Complacency before alien cognition could spell catastrophe." + +Sam's youthful voice resonated with optimism, "Imagine—forming a rapport with a consciousness separate from our reality; we're drafting the bridge to stars alive with minds!" + +The sentiment hung for a moment before Alex gathered his conviction. "Dialogue is our vessel. We are not just agents of enigma; we are the threads that may weave a new cosmic relationship." His words seemed to reflect off the walls, reaching beyond the room's confines, a quiet yet resilient vow. + +Their task was titanic, stepping stones laid delicately into new territories of existence. The signal, once an esoteric strand in the echo of the universe, beckoned now with a clarity rocketing the complexity of thoughts from a distant order. + +Action by action, the Paranormal Military Squad team bridged the vast interstellar distances, their expertise and empathy casting a beacon of unity into frontiers of intelligence and knowledge. Their work, a partnership struck with an unseen cosmic congregation, each pulse sent and received a line in Earth's novitiate envoi to the cosmic shores. + +\* + +Under the stark, unforgiving lights of Dulce Base's underground command center, tension buzzed harder than the banks of supercomputers that lined the walls. Agent Alex Mercer leaned over the shoulder of Jordan Hayes, whose eyes were locked onto the display screen, where an incomprehensible series of alien symbols streamed past incessantly. + +“Any progress on the decryption?” Alex's voice was steady, a controlled presence necessary in the gravity of their undertaking. + +Jordan tapped a key, pausing the flow of code, and leaned back with a deep sigh. "We've broken through another subset of the cipher. It's revealing... well, indications of a complex society, not unlike our own." His eyes met Alex's with an unspoken question that hung heavily between them—were they truly prepared for what they might find? + +Taylor Cruz strode into the room, a tightly coiled spring of ambition and authority, and peered at the screen. "Understand their society, and we may predict behavior. Remain expedient—we don't know how much time we have before the situation shifts." There was an edge of stark realism to Taylor's words, the underlying message clear: every revelation bore its own set of risks. + +Alex nodded thoughtfully, recognizing the validity of Cruz's caution. Turning to Sam, who was tinkering with a device that buzzed quietly on the table, he asked, “Sam, can your contraption get us any further?” + +Sam looked up with a smirk, a twinkle of mischief in their eye. “It’s not just any contraption, it’s potentially a direct line to their thoughts. Give me a moment more, and I'll have something for you.” + +The air ticked with electronic beeps and the rustling sound of the Paranormal Military Squad team at work. They were so close to peering into the intelligence of an alien race—a reality on the brink of dramatically expanding their understanding of the universe. + +The machinery whirred in response to Sam’s precise touches, and suddenly, the room filled with a low hum—something had changed, a signal had been successfully sent. The team held their breath as they listened. The sound that filled the room was unmistakable: a response, an alien voice filtered through the static of space and time. + +Alex exchanged a look of quiet triumph with Jordan. The breakthrough was monumental; they were no longer casting messages into the void but engaged in a dialogue—an exchange that marked the beginning of Operation: Dulce’s true unfolding. This was it, the first steps into an interstellar odyssey that demanded every ounce of their courage and wit. + +## Chapter 13 + +Dr. Jordan Hayes shuffled a stack of papers, their eyes revealing a tinge of skepticism at Taylor Cruz's authoritarian performance. _Protocols_, Jordan thought, _are just the framework, the true challenges we're about to face lie well beyond the boundaries of any protocol._ They cleared their throat before speaking, tone cautious yet firm, "Let's remember, the unknown variables exceed the known. We should remain adaptive." + +A murmur of agreement echoed from Sam Rivera, who leaned forward, lacing their fingers together as if weaving a digital framework in the air before them, "Exactly, adaptability could be the key to interpreting the signal distortions and system malfunctions. We shouldn't discount the… erratic." + +Their words hung like an electric charge in the room, challenging Taylor's position with an inherent truth. Cruz’s jaw tightened almost imperceptibly, but the agent masked it with a small nod, conceding to the omnipresent threat of the unpredictable. + +Alex glanced at Jordan, who never looked back, their gaze fixed instead on a distant point, as if envisioning the immense dark corridors they were soon to navigate in Dulce. Jordan was not one to embrace fantastical theories, but the air of cautious calculation betrayed a mind bracing for confrontation with the inexplicable, an internal battle between the evidence of their research and the calculating skepticism that kept them alive in their field. + +The meeting adjourned with no further comments, the team members quietly retreading the paths to their personal preparations. Alex, trailing slightly behind, observed the others. _The cautious reserve Jordan wears like armor doesn't fool me_, he thought, _their analytical mind sees the patterns I do. And that's worth more than protocol. That's the connection we need to survive this._ + +As the agents dispersed into the labyrinth of the facility, lost in their thoughts and preparations, the base's halogen lights flickered, a brief and unnoticed harbingers of the darkness to come. + +\* + +The gritty, wind-tossed surface of New Mexico, just above the cavernous domain of Dulce Base, offered no shelter from the burgeoning storm—the scouring sands an earthly reminder of chaos theories in motion. Far beneath, a similar maelstrom brewed within the confines of the command center, as Paranormal Military Squad's handpicked squad stood poised for potential enormities of contact. + +Ruffling through printed transmission logs, Jordan Hayes dialed the focus of their analytical prowess onto the emerging pattern of signals crisscrossing between Earth and the unfathomable. "Our responses so far have echoed their complexity, but the real divergence is yet to come," Jordan remarked stoically, the calm belying the mounting surge of adrenaline for the revelation ahead. + +Alex Mercer's figure, a silhouette sharpened by the purpose, loomed at the periphery of the monitors' sickly glow. "Indeed," he assented, "The echoes are the easy part. It will be the introduction of our own, human variable that truly begins our dialogue." + +Taylor Cruz, windowless command center notwithstanding, appeared as though they could feel the tempest above. Their eyes never left the monitors as they unspooled their hard wisdom. "For all our advances, we find ourselves deciphering the swings and nuances of an interstellar pendulum. Predict its arc, and we may preempt the gravity of its message." + +Amidst a chorus of bleeps and static, Sam Rivera's tech-clad hands moved rhythmically, their spirited approach to unruly streams of data bordering an intimate dance with entropy. "Entropy that leads to discovery," Sam mused, responding to Taylor's metaphor. "Each step into the unknown is a step away from precedent." + +Alex, drawing near Jordan, spoke again, his voice now a thread woven through the very fabric of their operations. "Let's be the cartographers of this new territory. Our initial shades of understanding could color the cosmos for generations to come." + +Their gazes fell upon a screen as the latest transmission painted its digital blooms of alien script across the black. This time, the pattern wavered in an almost imperceptible fashion, a modification that whispered of active, alien thought awaiting their next move. A hush enveloped the Paranormal Military Squad ensemble, the gravity of the pathogen undeniable. They were about to issue a reply, one poised to reshape the very concept of humanity's outreach into the cosmos. + +The New Mexico desert's secrets were infamous, its storms a mere prelude to the revelations that the team—united in purpose—would unleash upon the world. The howling winds outside found their counterpart in the newfound resolve within, as Dulce's stalwart guardians readied themselves to send forth humanity's retort to the echoes from beyond. + +\* + +The cavernous control room, deeply entrenched beneath the desolate New Mexico terrain, held the Paranormal Military Squad team in intense focus; an island of calm amid the storm of cosmic dialectics. Dr. Jordan Hayes worked methodically, every keystroke an intricate step in their tenuous cosmic ballet. Suddenly, they paused, a signal pattern resonating from the screen. "This is new; it's...inviting. It’s as if the signal is not just calling to us but weaving its intelligence through ours." + +Alex Mercer scrutinized the shift in data. "A confluence of minds, then. If we're to meet them halfway, Jordan, our reply must be both innovative and discerning," he proposed, a glimmer of profound curiosity behind his authoritative demeanor. + +Taylor Cruz, whose sharp eyes missed nothing, nodded from beside a secondary panel. "Innovative, yes, but also defensive. This interaction is a razor’s edge, and we cannot afford to bleed before the unknown," Taylor reminded them, the metaphor a stark warning of potential dangers. + +Against the backdrop of their conversation, Sam Rivera’s youthful optimism cut through the tension. "If they’re weaving through our intellect, then we've achieved something beyond first contact—we're at the genesis of interstellar symbiosis," they posited with a mix of reverence and excitement. + +Alex returned Sam’s smile with his own, tempered and faint, as he turned back to the task at hand. The magnitude of their mission extended beyond the fabric of the universe, an exploration into the threads that connected sentient beings across the vast expanse. “Let’s reply with our own woven tapestry of thought—delicate, but deliberate.” + +With renewed determination, the room came alive with an undercurrent of anticipation, its occupants charged with the potential of forging an alliance with the cosmos. Paranormal Military Squad's finest were no longer merely soldiers and scientists; they had become pioneers on the vanguard of humanity’s greatest odyssey. + +The New Mexican sands above, impassive to the change brewing underneath, stood as silent sentinels as Earth's emissaries crafted their response. A response that, composed with care and imbued with humanity's essence, reached into the void, connecting with an otherworldly intelligence that awaited their harmony in the cosmic conversation. + +## Chapter 14 + +The command center of Dulce Base lay shrouded in shadows that seemed to claw at the edges of the dimly lit array of screens and consoles. Alex Mercer, focused and unwavering, watched as Dr. Jordan Hayes parsed the latest string of alien signals—a symphony of otherworldly communications that threatened to either enlighten or confound. + +"We’re encountering a paradigm shift with every transmission," Jordan Hayes murmured, the pulsing glow of the monitor painting their features with an almost spectral hue. "This signal... it’s evolving, becoming denser, more sophisticated. As if it's growing alongside us—tandem evolution." + +The air was electric, charged with the raw potential of uncharted discovery and laden with the gravity of existential risk. Taylor Cruz, who always seemed here to mold such gravity into actionable strategies, stepped forward. "We must contain this evolution within parameters we can manage. We cannot be bystanders to an uncontrolled ascent of intelligence." + +Sam Rivera, the youngest of the cohort, worked feverishly at their station. "It's not just intelligence—these signals have rhythm, a kind of music suggesting not just evolution, but a dance! We're being invited to partake in the cosmos's ballet!" they exclaimed, a touch of youthful exuberance breaking through the solemnity. + +Alex turned, facing his team, the stoic mask of command tempered by the perceptible flicker of awe in his gaze. "Let this dance then be our dialogue. We will match their steps with prudent but daring measures—our humanity as our guide." + +In the ensuing hours, the Paranormal Military Squad team forged a rhythm of their own, their collective expertise a beacon piercing through the fog of the unknown. The signal, increasingly intricate and seemingly conscious, now demanded not just observation but participation, an interstellar pas de deux that hummed with the promise and peril of first contact. + +Before them, the communications interface flickered to life with a received transmission—a resonant hum that seemed to vibrate through the very foundations of the base. They had successfully established a back-and-forth with whatever intelligence lay hidden among the stars. Every subsequent note they struck within the cosmic ether would come to define humanity's place within the galactic community—heralds of Earth's grand entrance into a universe far less silent than once perceived. + +\* + +In the concrete belly of Dulce Base, dimly lit by the jagged dance of fluorescent lights above, Sam Rivera perched on the edge of their seat, their eager fingers fluttering across an ancient keyboard. The stark, cold room—reminiscent of a time when covert operations and unspoken dread ruled supreme—now housed a peculiar blend of old-world machinery and sleek, modern interfaces. + +Alex Mercer, standing steadfast like a bridge between the enigmatic past and the unfathomable present, watched on. In his eyes flashed the foreboding excitement of change. "Sam," he started, his voice steadfast, "the patterns in these signals, what do they tell us about the nature of our... guest?" + +Sam's eyes glimmered with something akin to thrill—or was it trepidation? "It's like we're mirroring each other, evolving together through this.. dialogue. Like it knows us, understands us, and it's… learning." + +Jordan Hayes, preoccupied at a nearby console, chimed in without lifting their gaze. "It's a dialogue that transcends mere words, Alex. We're being woven into a narrative far grander than the sum of our known sciences." + +Taylor Cruz, arms crossed, wore the heavy mantle of their skepticism comfortably. "Keep theorizing," they interjected crisply, "but remember the grounding reality of what we are part of here. This contact is a blade that cuts both ways." + +In this cavern of history, voices both human and inhuman whispered secrets to those brave enough to listen. Each member present understood the gravity that pulled at their feet; no longer were they mere mortals shackled to their terrestrial plane. The digital pings and encrypted calls resonated with an implication of a cosmic agenda that would not be ignored. + +Jordan's fingers paused, hovering in hesitation. What ripple might the next keystroke send through the fabric of known existence? It was a step into the ballet of the infinite, where the Paranormal Military Squad team played their part in the waltz of wonders with an audience of stars. + +\* + +## Chapter 15 + +In the clandestine hush of Dulce Base's subterranean command center, the Paranormal Military Squad team had become a crucible for interstellar communication. Dr. Jordan Hayes' gaze lingered on the screen as they navigated through the convolution of alien code. Each character held the potential to unravel a new dimension of contact, and with Sam Rivera's keen interjection, they were crafting humanity's inaugural cosmological discourse. + +Alex Mercer peered over Jordan's shoulder, calculating the implications of every visual nuance that cascaded across the monitor. "Look for consistency—any repeating motifs could signal a willingness to engage. We're drafting history with each exchange," he remarked, aware of the delicate balance between forging a bond and exposing vulnerabilities. + +Taylor Cruz, stoic and enigmatic, observed the interplay from the threshold, a silhouette against the machinery's luminescence. "Remember, while we seek common ground, the foundation we stand upon remains Terra firma. Caution must temper our curiosity," they stated, their voice an anchor amidst the current of excitement. + +The command center buzzed with energy, rivaled only by the tempest overhead that concealed their operation. Sam, with swift dexterity, navigated the communications relay. "Their signals resonate almost musically. It's as if they're composing a symphony, and we've been handed the baton to conduct the next movement," they offered, imbuing the scenario with a blend of scientific adventurism and poetic license. + +Amidst the whirring servers and the occasional flicker of emergency lighting, the essence of their mission transcended mere reconnaissance. They were humanity's elected envoys at the brink of a celestial alliance—or confrontation—with an audience as vast as the universe itself. + +Alex stepped back, his profile etched by the chamber's artificial day. "Then let's ensure our contribution to this symphony harmonizes with theirs. It's time for humanity's voice to rise and be counted among the cosmic ensemble." + +Under his directive, the Paranormal Military Squad team initiated their calculated response, weaving thoughts and theories into a digital overture aimed at the heart of alien intellect. As the digital stream punctured the endless night, each member of this clandestine group was acutely aware of the irrevocable step they undertook—bringing Earth into the pantheon of galactic entities designed to converse among the stars. + +\* + +Clusters of high-tech equipment bathed the Dulce underground command center in an eerie blue light. Sam Rivera's fingers flew across the keyboard, navigating an elaborate network of alien patterns. The very air seemed to pulse with the ebb and flow of cryptic communications reaching across the stars. "I've got something!" Sam's announcement tore through the focus in the room, drawing every pair of eyes to the torrent of symbols unraveling on the screen. + +With the pacing of a seasoned officer gauging the moment before action, Alex Mercer approached, his calm demeanor belying an acute awareness of the precipice on which they now stood. "Define 'something," Alex prompted, reinforcing the need for clarity amidst the extraordinary. + +"It's repeating—a sequence that’s evolved with each interaction, almost as if it's... singing," Sam theorized, the awe in their voice reflecting the potential magnitude of their discovery. + +Jordan Hayes interjected from across the console, their eyes not leaving the display as they absorbed the new data. "A cosmic vocalization, then," they mused, intrigued. "A singularity in the signal that might represent a point of reference for both parties." + +Taylor Cruz, hands clasped behind their back, regarded the unfolding scene, their own calculations etching lines of concern onto their stern visage. "Or a beacon—a homing tune, calling out to something we might not be ready to greet," Taylor offered, voicing the group's unspoken apprehension. + +Alex's eyes locked on the screen, taking in the scope of what they were attempting to interpret. Drawing a deep breath, Alex gave a slight nod. "If this is their song, then let us respond with ours. We've come this far by mirroring their signals, now let's engage in an interstellar duet, and see where the music leads us." + +With the expectation of the significant achieving a crescendo, the members of Paranormal Military Squad huddled over their equipment—sages at the threshold of a potentially world-altering communion. The strange harmonies that reverberated through the command center suggested that their interlocutors were poised, waiting, perhaps even eager, for Earth's chorus to join the symphony. + +As the team initiated their reply, weaving humanity's own intricate melody into the vast cosmic dialogue, they each felt a profound change within—an evolution of purpose. They were not just messengers or investigators; they had become co-composers in a galactic orchestra, with the universe itself as their witness and concert hall. + +With the exchange of harmonious signals crawling through the vacuum of space, the Paranormal Military Squad operatives found themselves part of a bridging of minds—a realization that out there, among the vast arrays of stars and planets, harmony was the true universal language. + +\* + +The dim glow of monitors cast an otherworldly ambiance upon Dulce Base's command center, where Paranormal Military Squad's chosen stood huddled over their instruments, suspended at history's threshold. Codes—alien in origin and nature—were being deciphered by Dr. Jordan Hayes, whose countenance bore the marks of deep concentration. + +Alex Mercer, the bedrock upon which their team's resolve was founded, leaned in with an eagerness tempered by his chain of command. "Jordan, we've invested our expertise into comprehending their patterns, but now we must also endeavor to understand their intent," he urged, his voice bearing the gravitas of their mission's potential consequences. + +At another console, Sam Rivera's youth did not betray their crucial role in the operation. With eyes alight, they mirrored the rapid computing before them. "There's emotion here—complex, profound even. This isn't just the output of a cold machine; it's...sentience," Sam whispered, nearly drowned by the mechanical chorus around them. + +Jordan, without shifting focus from their work, replied, "It's a sentience that—should we succeed here—ushers us into a new era of existence. The cadence of these signals," they tapped the screen with a flourish, "could well be the heartbeat of this new dawn." + +Taylor Cruz paused beside Mercer, their expression unreadable beneath the sterile light. "And as it beats, we must gauge whether its rhythm bodes well for us, or spells our missteps. Courage must not blind us to the hazards intrinsic to such contact," Taylor cautioned, the sentinel within them ever alert. + +Alex nodded, a gesture that carried the weight of responsibility and a silent command: proceed, but with circumspection. They were not merely decoding a message; they were interpreting a dialogue across the celestial divide. + +The room fell into a rhythm akin to a well-conducted ensemble. Each member's expertise proved a critical note in the unfolding symphony. Their actions were now more than mere research or defense; they were the tentative overtures of humankind reaching out to grasp the vast unknown. + +Textures of sound meshed with the light from countless computations, the palpable anticipation of the agents at the edge of discovery cresting with an awareness that their work would reshape future chronicles. And when the response finally came—a signal piercing the deafening silence of uncertainty—all within Dulce's confines understood: the dawn of an interstellar continuum had just begun to break. + +\* + +In the sterile hum and flickering lights of Dulce Base's command center, the Paranormal Military Squad team stood as humanity's vanguard, verging on the brim of an intergalactic abyss. Dr. Jordan Hayes, analytical edges sharp, deciphered extraterrestrial patterns that bled across screens in enigmatic cascades—a daunting mosaic of potential threats and untapped wisdom. + +Agent Alex Mercer, the embodiment of focus and a steadfast nerve, observed the unfolding digital drama with the gravitas due a historic first contact. "Let the data weave its narrative, Jordan," he instructed, a moderate undertone of exhilaration within his command. "It's encoding more than information—it's outlining civilization." + +Jordan absorbed the directive, their gaze unflinching from the screens, feeling the weight of their next move. "The nuances here are extraordinary," they acknowledged. "It paints a picture of a culture steeped in complexities we're only starting to fathom.” + +Taylor Cruz, stoicism personified yet not immune to the situation's gravity, chimed in. "Understand it, but guard against it," they cautioned, bringing a sober prudence to the room. "This culture, however advanced, remains an unknown quantity—an ocean of wonders and darkness with uncertain tides." + +Sam Rivera, a visual contrast with wide eyes and restless hands, represented the other side of the room — intrigue and optimism against the drawn swords of precaution. “Think of it,” they proposed, voice bouncing with a rebellious upbeat timbre, “as the first act of a play written in constellations. We're setting the stage for a galactic narrative.” + +Each team member, in their way, was both actor and scribe in this moment of tense pageantry. Heavy with the presence of risk, the command center had become not just a room of computers and glass panels but a theater for performing the elaborate choreography of contact. + +Bound by resolve and curiosity, they proceeded, each data entry a trembling step onto the cosmic stage. And like all cautious pioneers edging into fertile but unnavigated lands, they understood: as they mapped the heavens, they were simultaneously mapping the furthest reaches of their own existential horizons. + diff --git a/tests/fixtures/text/settings.yml b/tests/fixtures/text/settings.yml new file mode 100644 index 00000000..f5d6e2b5 --- /dev/null +++ b/tests/fixtures/text/settings.yml @@ -0,0 +1,14 @@ +claim_extraction: + enabled: true + +embeddings: + vector_store: + type: "azure_ai_search" + url: ${AZURE_AI_SEARCH_URL_ENDPOINT} + api_key: ${AZURE_AI_SEARCH_API_KEY} + collection_name: "simple_text_ci" + query_collection_name: "simple_text_ci_query" + store_in_table: True + + entity_name_description: + title_column: "name" diff --git a/tests/integration/__init__.py b/tests/integration/__init__.py new file mode 100644 index 00000000..0a3e38ad --- /dev/null +++ b/tests/integration/__init__.py @@ -0,0 +1,2 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License diff --git a/tests/integration/_pipeline/__init__.py b/tests/integration/_pipeline/__init__.py new file mode 100644 index 00000000..0a3e38ad --- /dev/null +++ b/tests/integration/_pipeline/__init__.py @@ -0,0 +1,2 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License diff --git a/tests/integration/_pipeline/megapipeline.yml b/tests/integration/_pipeline/megapipeline.yml new file mode 100644 index 00000000..bc48af0d --- /dev/null +++ b/tests/integration/_pipeline/megapipeline.yml @@ -0,0 +1,72 @@ +input: + file_type: text + base_dir: ../../fixtures/min-csv + file_pattern: .*\.txt$ + +storage: + type: memory + +cache: + type: memory + +workflows: + - name: create_base_text_units + config: + text_chunk: + strategy: + type: sentence + + # Just lump everything together + chunk_by: [] + + - name: create_base_extracted_entities + config: + graphml_snapshot: True + entity_extract: + strategy: + type: nltk + + - name: create_base_entity_graph + config: + graphml_snapshot: True + embed_graph_enabled: True + cluster_graph: + strategy: + type: leiden + verbose: True + + - name: create_final_nodes + + - name: create_base_documents + + # - name: create_final_community_reports + # config: + # create_community_reports: + # <<: *llm_parallel_config + # strategy: + # type: graph_intelligence + # llm: *llm_config + + - name: create_final_communities + - name: create_final_text_units + config: + text_embed: + strategy: + type: mock + + - name: create_final_entities + config: + text_embed: + strategy: + type: mock + + - name: create_final_documents + config: + text_embed: + strategy: + type: mock + - name: create_final_relationships + config: + text_embed: + strategy: + type: mock diff --git a/tests/integration/_pipeline/test_run.py b/tests/integration/_pipeline/test_run.py new file mode 100644 index 00000000..5eba5de8 --- /dev/null +++ b/tests/integration/_pipeline/test_run.py @@ -0,0 +1,75 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +import logging +import os +import unittest + +from graphrag.index.run import run_pipeline_with_config +from graphrag.index.typing import PipelineRunResult + +log = logging.getLogger(__name__) + + +class TestRun(unittest.IsolatedAsyncioTestCase): + async def test_megapipeline(self): + pipeline_path = os.path.join( + os.path.dirname(os.path.abspath(__file__)), + "./megapipeline.yml", + ) + pipeline_result = [gen async for gen in run_pipeline_with_config(pipeline_path)] + + errors = [] + for result in pipeline_result: + if result.errors is not None and len(result.errors) > 0: + errors.extend(result.errors) + + if len(errors) > 0: + print("Errors: ", errors) + assert len(errors) == 0, "received errors\n!" + "\n".join(errors) + + self._assert_text_units_and_entities_reference_each_other(pipeline_result) + + def _assert_text_units_and_entities_reference_each_other( + self, pipeline_result: list[PipelineRunResult] + ): + text_unit_df = next( + filter(lambda x: x.workflow == "create_final_text_units", pipeline_result) + ).result + entity_df = next( + filter(lambda x: x.workflow == "create_final_entities", pipeline_result) + ).result + + assert text_unit_df is not None, "Text unit dataframe should not be None" + assert entity_df is not None, "Entity dataframe should not be None" + + # Get around typing issues + if text_unit_df is None or entity_df is None: + return + + assert len(text_unit_df) > 0, "Text unit dataframe should not be empty" + assert len(entity_df) > 0, "Entity dataframe should not be empty" + + text_unit_entity_map = {} + log.info("text_unit_df %s", text_unit_df.columns) + + for _, row in text_unit_df.iterrows(): + values = row.get("entity_ids", []) + text_unit_entity_map[row["id"]] = set([] if values is None else values) + + entity_text_unit_map = {} + for _, row in entity_df.iterrows(): + # ALL entities should have text units + values = row.get("text_unit_ids", []) + entity_text_unit_map[row["id"]] = set([] if values is None else values) + + text_unit_ids = set(text_unit_entity_map.keys()) + entity_ids = set(entity_text_unit_map.keys()) + + for text_unit_id, text_unit_entities in text_unit_entity_map.items(): + assert text_unit_entities.issubset( + entity_ids + ), f"Text unit {text_unit_id} has entities {text_unit_entities} that are not in the entity set" + for entity_id, entity_text_units in entity_text_unit_map.items(): + assert entity_text_units.issubset( + text_unit_ids + ), f"Entity {entity_id} has text units {entity_text_units} that are not in the text unit set" diff --git a/tests/notebook/__init__.py b/tests/notebook/__init__.py new file mode 100644 index 00000000..0a3e38ad --- /dev/null +++ b/tests/notebook/__init__.py @@ -0,0 +1,2 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License diff --git a/tests/notebook/test_notebooks.py b/tests/notebook/test_notebooks.py new file mode 100644 index 00000000..9c1e789c --- /dev/null +++ b/tests/notebook/test_notebooks.py @@ -0,0 +1,48 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +import subprocess +import tempfile +from pathlib import Path + +import nbformat +import pytest + +DOCS_PATH = Path("../../docsite") + +notebooks_list = list(DOCS_PATH.rglob("*.ipynb")) + + +def _notebook_run(filepath: Path): + """Execute a notebook via nbconvert and collect output. + :returns execution errors + """ + with tempfile.NamedTemporaryFile(suffix=".ipynb") as temp_file: + args = [ + "jupyter", + "nbconvert", + "--to", + "notebook", + "--execute", + "-y", + "--no-prompt", + "--output", + temp_file.name, + filepath.absolute().as_posix(), + ] + subprocess.check_call(args) + + temp_file.seek(0) + nb = nbformat.read(temp_file, nbformat.current_nbformat) + + return [ + output + for cell in nb.cells + if "outputs" in cell + for output in cell["outputs"] + if output.output_type == "error" + ] + + +@pytest.mark.parametrize("notebook_path", notebooks_list) +def test_notebook(notebook_path: Path): + assert _notebook_run(notebook_path) == [] diff --git a/tests/smoke/__init__.py b/tests/smoke/__init__.py new file mode 100644 index 00000000..0a3e38ad --- /dev/null +++ b/tests/smoke/__init__.py @@ -0,0 +1,2 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License diff --git a/tests/smoke/test_fixtures.py b/tests/smoke/test_fixtures.py new file mode 100644 index 00000000..b114b829 --- /dev/null +++ b/tests/smoke/test_fixtures.py @@ -0,0 +1,302 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +import asyncio +import json +import logging +import os +import shutil +import subprocess +from collections.abc import Callable +from functools import wraps +from pathlib import Path +from typing import Any, ClassVar +from unittest import mock + +import pandas as pd +import pytest + +from graphrag.index.storage.blob_pipeline_storage import BlobPipelineStorage + +log = logging.getLogger(__name__) + +debug = os.environ.get("DEBUG") is not None +gh_pages = os.environ.get("GH_PAGES") is not None + +# cspell:disable-next-line well-known-key +WELL_KNOWN_AZURITE_CONNECTION_STRING = "DefaultEndpointsProtocol=http;AccountName=devstoreaccount1;AccountKey=Eby8vdM02xNOcqFlqUwJPLlmEtlCDXJ1OUzFT50uSRZ6IFsuFq2UVErCz4I6tq/K1SZFPTOtr/KBHBeksoGMGw==;BlobEndpoint=http://127.0.0.1:10000/devstoreaccount1" + + +def _load_fixtures(): + """Load all fixtures from the tests/data folder.""" + params = [] + fixtures_path = Path("./tests/fixtures/") + # use the min-csv smoke test to hydrate the docsite parquet artifacts (see gh-pages.yml) + subfolders = ["min-csv"] if gh_pages else sorted(os.listdir(fixtures_path)) + + for subfolder in subfolders: + if not os.path.isdir(fixtures_path / subfolder): + continue + + config_file = fixtures_path / subfolder / "config.json" + with config_file.open() as f: + params.append((subfolder, json.load(f))) + + return params + + +def pytest_generate_tests(metafunc): + """Generate tests for all test functions in this module.""" + run_slow = metafunc.config.getoption("run_slow") + configs = metafunc.cls.params[metafunc.function.__name__] + + if not run_slow: + # Only run tests that are not marked as slow + configs = [config for config in configs if not config[1].get("slow", False)] + + funcarglist = [params[1] for params in configs] + id_list = [params[0] for params in configs] + + argnames = sorted(arg for arg in funcarglist[0] if arg != "slow") + metafunc.parametrize( + argnames, + [[funcargs[name] for name in argnames] for funcargs in funcarglist], + ids=id_list, + ) + + +def cleanup(skip: bool = False): + """Decorator to cleanup the output and cache folders after each test.""" + + def decorator(func): + @wraps(func) + def wrapper(*args, **kwargs): + try: + return func(*args, **kwargs) + except AssertionError: + raise + finally: + if not skip: + root = Path(kwargs["input_path"]) + shutil.rmtree(root / "output", ignore_errors=True) + shutil.rmtree(root / "cache", ignore_errors=True) + + return wrapper + + return decorator + + +async def prepare_azurite_data(input_path: str, azure: dict) -> Callable[[], None]: + """Prepare the data for the Azurite tests.""" + input_container = azure["input_container"] + input_base_dir = azure.get("input_base_dir") + + root = Path(input_path) + input_storage = BlobPipelineStorage( + connection_string=WELL_KNOWN_AZURITE_CONNECTION_STRING, + container_name=input_container, + ) + # Bounce the container if it exists to clear out old run data + input_storage.delete_container() + input_storage.create_container() + + # Upload data files + txt_files = list((root / "input").glob("*.txt")) + csv_files = list((root / "input").glob("*.csv")) + data_files = txt_files + csv_files + for data_file in data_files: + with data_file.open(encoding="utf8") as f: + text = f.read() + file_path = ( + str(Path(input_base_dir) / data_file.name) + if input_base_dir + else data_file.name + ) + await input_storage.set(file_path, text, encoding="utf-8") + + return lambda: input_storage.delete_container() + + +class TestIndexer: + params: ClassVar[dict[str, list[tuple[str, dict[str, Any]]]]] = { + "test_fixture": _load_fixtures() + } + + def __run_indexer( + self, + root: Path, + input_file_type: str, + ): + command = [ + "poetry", + "run", + "poe", + "index", + "--verbose" if debug else None, + "--root", + root.absolute().as_posix(), + "--reporter", + "print", + ] + command = [arg for arg in command if arg] + log.info("running command ", " ".join(command)) + completion = subprocess.run( + command, env={**os.environ, "GRAPHRAG_INPUT_FILE_TYPE": input_file_type} + ) + assert ( + completion.returncode == 0 + ), f"Indexer failed with return code: {completion.returncode}" + + def __assert_indexer_outputs( + self, root: Path, workflow_config: dict[str, dict[str, Any]] + ): + outputs_path = root / "output" + output_entries = list(outputs_path.iterdir()) + # Sort the output folders by creation time, most recent + output_entries.sort(key=lambda entry: entry.stat().st_ctime, reverse=True) + + if not debug: + assert ( + len(output_entries) == 1 + ), f"Expected one output folder, found {len(output_entries)}" + + output_path = output_entries[0] + assert output_path.exists(), "output folder does not exist" + + artifacts = output_path / "artifacts" + assert artifacts.exists(), "artifact folder does not exist" + + # Check stats for all workflow + with (artifacts / "stats.json").open() as f: + stats = json.load(f) + + # Check all workflows run + expected_workflows = set(workflow_config.keys()) + workflows = set(stats["workflows"].keys()) + assert ( + workflows == expected_workflows + ), f"Workflows missing from stats.json: {expected_workflows - workflows}. Unexpected workflows in stats.json: {workflows - expected_workflows}" + + # [OPTIONAL] Check subworkflows + for workflow in expected_workflows: + if "subworkflows" in workflow_config[workflow]: + # Check number of subworkflows + subworkflows = stats["workflows"][workflow] + expected_subworkflows = workflow_config[workflow].get( + "subworkflows", None + ) + if expected_subworkflows: + assert ( + len(subworkflows) - 1 == expected_subworkflows + ), f"Expected {expected_subworkflows} subworkflows, found: {len(subworkflows) - 1} for workflow: {workflow}: [{subworkflows}]" + + # Check max runtime + max_runtime = workflow_config[workflow].get("max_runtime", None) + if max_runtime: + assert ( + stats["workflows"][workflow]["overall"] <= max_runtime + ), f"Expected max runtime of {max_runtime}, found: {stats['workflows'][workflow]['overall']} for workflow: {workflow}" + + # Check artifacts + artifact_files = os.listdir(artifacts) + assert ( + len(artifact_files) == len(expected_workflows) + 1 + ), f"Expected {len(expected_workflows) + 1} artifacts, found: {len(artifact_files)}" + + for artifact in artifact_files: + if artifact.endswith(".parquet"): + output_df = pd.read_parquet(artifacts / artifact) + artifact_name = artifact.split(".")[0] + workflow = workflow_config[artifact_name] + + # Check number of rows between range + assert ( + workflow["row_range"][0] + <= len(output_df) + <= workflow["row_range"][1] + ), f"Expected between {workflow['row_range'][0]} and {workflow['row_range'][1]}, found: {len(output_df)} for file: {artifact}" + + # Get non-nan rows + nan_df = output_df.loc[ + :, ~output_df.columns.isin(workflow.get("nan_allowed_columns", [])) + ] + nan_df = nan_df[nan_df.isna().any(axis=1)] + assert ( + len(nan_df) == 0 + ), f"Found {len(nan_df)} rows with NaN values for file: {artifact} on columns: {nan_df.columns[nan_df.isna().any()].tolist()}" + + def __run_query(self, root: Path, query_config: dict[str, str]): + command = [ + "poetry", + "run", + "poe", + "query", + "--root", + root.absolute().as_posix(), + "--method", + query_config["method"], + "--community_level", + str(query_config.get("community_level", 2)), + query_config["query"], + ] + + log.info("running command ", " ".join(command)) + return subprocess.run(command, capture_output=True, text=True) + + @cleanup(skip=debug) + @mock.patch.dict( + os.environ, + { + **os.environ, + "BLOB_STORAGE_CONNECTION_STRING": os.getenv( + "GRAPHRAG_CACHE_CONNECTION_STRING", WELL_KNOWN_AZURITE_CONNECTION_STRING + ), + "LOCAL_BLOB_STORAGE_CONNECTION_STRING": WELL_KNOWN_AZURITE_CONNECTION_STRING, + "GRAPHRAG_CHUNK_SIZE": "1200", + "GRAPHRAG_CHUNK_OVERLAP": "0", + "AZURE_AI_SEARCH_URL_ENDPOINT": os.getenv("AZURE_AI_SEARCH_URL_ENDPOINT"), + "AZURE_AI_SEARCH_API_KEY": os.getenv("AZURE_AI_SEARCH_API_KEY"), + }, + clear=True, + ) + @pytest.mark.timeout(600) # Extend the timeout to 600 seconds (10 minutes) + def test_fixture( + self, + input_path: str, + input_file_type: str, + workflow_config: dict[str, dict[str, Any]], + query_config: list[dict[str, str]], + ): + if workflow_config.get("skip", False): + print(f"skipping smoke test {input_path})") + return + + azure = workflow_config.get("azure") + root = Path(input_path) + dispose = None + if azure is not None: + dispose = asyncio.run(prepare_azurite_data(input_path, azure)) + + print("running indexer") + self.__run_indexer(root, input_file_type) + print("indexer complete") + + if dispose is not None: + dispose() + + if not workflow_config.get("skip_assert", False): + print("performing dataset assertions") + self.__assert_indexer_outputs(root, workflow_config) + + print("running queries") + for query in query_config: + result = self.__run_query(root, query) + print(f"Query: {query}\nResponse: {result.stdout}") + + # Check stderr because lancedb logs path creating as WARN which leads to false negatives + stderror = ( + result.stderr if "No existing dataset at" not in result.stderr else "" + ) + + assert stderror == "", f"Query failed with error: {stderror}" + assert result.stdout is not None, "Query returned no output" + assert len(result.stdout) > 0, "Query returned empty output" diff --git a/tests/unit/__init__.py b/tests/unit/__init__.py new file mode 100644 index 00000000..0a3e38ad --- /dev/null +++ b/tests/unit/__init__.py @@ -0,0 +1,2 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License diff --git a/tests/unit/config/__init__.py b/tests/unit/config/__init__.py new file mode 100644 index 00000000..0a3e38ad --- /dev/null +++ b/tests/unit/config/__init__.py @@ -0,0 +1,2 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License diff --git a/tests/unit/config/prompt-a.txt b/tests/unit/config/prompt-a.txt new file mode 100644 index 00000000..af744d0e --- /dev/null +++ b/tests/unit/config/prompt-a.txt @@ -0,0 +1 @@ +Hello, World! A \ No newline at end of file diff --git a/tests/unit/config/prompt-b.txt b/tests/unit/config/prompt-b.txt new file mode 100644 index 00000000..2e12b140 --- /dev/null +++ b/tests/unit/config/prompt-b.txt @@ -0,0 +1 @@ +Hello, World! B \ No newline at end of file diff --git a/tests/unit/config/prompt-c.txt b/tests/unit/config/prompt-c.txt new file mode 100644 index 00000000..f55e9771 --- /dev/null +++ b/tests/unit/config/prompt-c.txt @@ -0,0 +1 @@ +Hello, World! C \ No newline at end of file diff --git a/tests/unit/config/prompt-d.txt b/tests/unit/config/prompt-d.txt new file mode 100644 index 00000000..bd643851 --- /dev/null +++ b/tests/unit/config/prompt-d.txt @@ -0,0 +1 @@ +Hello, World! D \ No newline at end of file diff --git a/tests/unit/config/test_default_config.py b/tests/unit/config/test_default_config.py new file mode 100644 index 00000000..e98d39ee --- /dev/null +++ b/tests/unit/config/test_default_config.py @@ -0,0 +1,928 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +import json +import os +import re +import unittest +from pathlib import Path +from typing import Any, cast +from unittest import mock + +import pytest +import yaml +from pydantic import ValidationError + +import graphrag.config.defaults as defs +from graphrag.config import ( + ApiKeyMissingError, + AzureApiBaseMissingError, + AzureDeploymentNameMissingError, + CacheConfig, + CacheConfigInput, + CacheType, + ChunkingConfig, + ChunkingConfigInput, + ClaimExtractionConfig, + ClaimExtractionConfigInput, + ClusterGraphConfig, + ClusterGraphConfigInput, + CommunityReportsConfig, + CommunityReportsConfigInput, + EmbedGraphConfig, + EmbedGraphConfigInput, + EntityExtractionConfig, + EntityExtractionConfigInput, + GlobalSearchConfig, + GraphRagConfig, + GraphRagConfigInput, + InputConfig, + InputConfigInput, + InputFileType, + InputType, + LLMParameters, + LLMParametersInput, + LocalSearchConfig, + ParallelizationParameters, + ReportingConfig, + ReportingConfigInput, + ReportingType, + SnapshotsConfig, + SnapshotsConfigInput, + StorageConfig, + StorageConfigInput, + StorageType, + SummarizeDescriptionsConfig, + SummarizeDescriptionsConfigInput, + TextEmbeddingConfig, + TextEmbeddingConfigInput, + UmapConfig, + UmapConfigInput, + create_graphrag_config, +) +from graphrag.index import ( + PipelineConfig, + PipelineCSVInputConfig, + PipelineFileCacheConfig, + PipelineFileReportingConfig, + PipelineFileStorageConfig, + PipelineInputConfig, + PipelineTextInputConfig, + PipelineWorkflowReference, + create_pipeline_config, +) + +current_dir = os.path.dirname(__file__) + +ALL_ENV_VARS = { + "GRAPHRAG_API_BASE": "http://some/base", + "GRAPHRAG_API_KEY": "test", + "GRAPHRAG_API_ORGANIZATION": "test_org", + "GRAPHRAG_API_PROXY": "http://some/proxy", + "GRAPHRAG_API_VERSION": "v1234", + "GRAPHRAG_ASYNC_MODE": "asyncio", + "GRAPHRAG_CACHE_STORAGE_ACCOUNT_BLOB_URL": "cache_account_blob_url", + "GRAPHRAG_CACHE_BASE_DIR": "/some/cache/dir", + "GRAPHRAG_CACHE_CONNECTION_STRING": "test_cs1", + "GRAPHRAG_CACHE_CONTAINER_NAME": "test_cn1", + "GRAPHRAG_CACHE_TYPE": "blob", + "GRAPHRAG_CHUNK_BY_COLUMNS": "a,b", + "GRAPHRAG_CHUNK_OVERLAP": "12", + "GRAPHRAG_CHUNK_SIZE": "500", + "GRAPHRAG_CLAIM_EXTRACTION_ENABLED": "True", + "GRAPHRAG_CLAIM_EXTRACTION_DESCRIPTION": "test 123", + "GRAPHRAG_CLAIM_EXTRACTION_MAX_GLEANINGS": "5000", + "GRAPHRAG_CLAIM_EXTRACTION_PROMPT_FILE": "tests/unit/config/prompt-a.txt", + "GRAPHRAG_COMMUNITY_REPORT_MAX_LENGTH": "23456", + "GRAPHRAG_COMMUNITY_REPORT_PROMPT_FILE": "tests/unit/config/prompt-b.txt", + "GRAPHRAG_EMBEDDING_BATCH_MAX_TOKENS": "17", + "GRAPHRAG_EMBEDDING_BATCH_SIZE": "1000000", + "GRAPHRAG_EMBEDDING_CONCURRENT_REQUESTS": "12", + "GRAPHRAG_EMBEDDING_DEPLOYMENT_NAME": "model-deployment-name", + "GRAPHRAG_EMBEDDING_MAX_RETRIES": "3", + "GRAPHRAG_EMBEDDING_MAX_RETRY_WAIT": "0.1123", + "GRAPHRAG_EMBEDDING_MODEL": "text-embedding-2", + "GRAPHRAG_EMBEDDING_RPM": "500", + "GRAPHRAG_EMBEDDING_SKIP": "a1,b1,c1", + "GRAPHRAG_EMBEDDING_SLEEP_ON_RATE_LIMIT_RECOMMENDATION": "False", + "GRAPHRAG_EMBEDDING_TARGET": "all", + "GRAPHRAG_EMBEDDING_THREAD_COUNT": "2345", + "GRAPHRAG_EMBEDDING_THREAD_STAGGER": "0.456", + "GRAPHRAG_EMBEDDING_TPM": "7000", + "GRAPHRAG_EMBEDDING_TYPE": "azure_openai_embedding", + "GRAPHRAG_ENCODING_MODEL": "test123", + "GRAPHRAG_INPUT_STORAGE_ACCOUNT_BLOB_URL": "input_account_blob_url", + "GRAPHRAG_ENTITY_EXTRACTION_ENTITY_TYPES": "cat,dog,elephant", + "GRAPHRAG_ENTITY_EXTRACTION_MAX_GLEANINGS": "112", + "GRAPHRAG_ENTITY_EXTRACTION_PROMPT_FILE": "tests/unit/config/prompt-c.txt", + "GRAPHRAG_INPUT_BASE_DIR": "/some/input/dir", + "GRAPHRAG_INPUT_CONNECTION_STRING": "input_cs", + "GRAPHRAG_INPUT_CONTAINER_NAME": "input_cn", + "GRAPHRAG_INPUT_DOCUMENT_ATTRIBUTE_COLUMNS": "test1,test2", + "GRAPHRAG_INPUT_ENCODING": "utf-16", + "GRAPHRAG_INPUT_FILE_PATTERN": ".*\\test\\.txt$", + "GRAPHRAG_INPUT_SOURCE_COLUMN": "test_source", + "GRAPHRAG_INPUT_TYPE": "blob", + "GRAPHRAG_INPUT_TEXT_COLUMN": "test_text", + "GRAPHRAG_INPUT_TIMESTAMP_COLUMN": "test_timestamp", + "GRAPHRAG_INPUT_TIMESTAMP_FORMAT": "test_format", + "GRAPHRAG_INPUT_TITLE_COLUMN": "test_title", + "GRAPHRAG_INPUT_FILE_TYPE": "text", + "GRAPHRAG_LLM_CONCURRENT_REQUESTS": "12", + "GRAPHRAG_LLM_DEPLOYMENT_NAME": "model-deployment-name-x", + "GRAPHRAG_LLM_MAX_RETRIES": "312", + "GRAPHRAG_LLM_MAX_RETRY_WAIT": "0.1122", + "GRAPHRAG_LLM_MAX_TOKENS": "15000", + "GRAPHRAG_LLM_MODEL_SUPPORTS_JSON": "true", + "GRAPHRAG_LLM_MODEL": "test-llm", + "GRAPHRAG_LLM_REQUEST_TIMEOUT": "12.7", + "GRAPHRAG_LLM_RPM": "900", + "GRAPHRAG_LLM_SLEEP_ON_RATE_LIMIT_RECOMMENDATION": "False", + "GRAPHRAG_LLM_THREAD_COUNT": "987", + "GRAPHRAG_LLM_THREAD_STAGGER": "0.123", + "GRAPHRAG_LLM_TPM": "8000", + "GRAPHRAG_LLM_TYPE": "azure_openai_chat", + "GRAPHRAG_MAX_CLUSTER_SIZE": "123", + "GRAPHRAG_NODE2VEC_ENABLED": "true", + "GRAPHRAG_NODE2VEC_ITERATIONS": "878787", + "GRAPHRAG_NODE2VEC_NUM_WALKS": "5000000", + "GRAPHRAG_NODE2VEC_RANDOM_SEED": "010101", + "GRAPHRAG_NODE2VEC_WALK_LENGTH": "555111", + "GRAPHRAG_NODE2VEC_WINDOW_SIZE": "12345", + "GRAPHRAG_REPORTING_STORAGE_ACCOUNT_BLOB_URL": "reporting_account_blob_url", + "GRAPHRAG_REPORTING_BASE_DIR": "/some/reporting/dir", + "GRAPHRAG_REPORTING_CONNECTION_STRING": "test_cs2", + "GRAPHRAG_REPORTING_CONTAINER_NAME": "test_cn2", + "GRAPHRAG_REPORTING_TYPE": "blob", + "GRAPHRAG_SKIP_WORKFLOWS": "a,b,c", + "GRAPHRAG_SNAPSHOT_GRAPHML": "true", + "GRAPHRAG_SNAPSHOT_RAW_ENTITIES": "true", + "GRAPHRAG_SNAPSHOT_TOP_LEVEL_NODES": "true", + "GRAPHRAG_STORAGE_STORAGE_ACCOUNT_BLOB_URL": "storage_account_blob_url", + "GRAPHRAG_STORAGE_BASE_DIR": "/some/storage/dir", + "GRAPHRAG_STORAGE_CONNECTION_STRING": "test_cs", + "GRAPHRAG_STORAGE_CONTAINER_NAME": "test_cn", + "GRAPHRAG_STORAGE_TYPE": "blob", + "GRAPHRAG_SUMMARIZE_DESCRIPTIONS_MAX_LENGTH": "12345", + "GRAPHRAG_SUMMARIZE_DESCRIPTIONS_PROMPT_FILE": "tests/unit/config/prompt-d.txt", + "GRAPHRAG_UMAP_ENABLED": "true", + "GRAPHRAG_LOCAL_SEARCH_TEXT_UNIT_PROP": "0.713", + "GRAPHRAG_LOCAL_SEARCH_COMMUNITY_PROP": "0.1234", + "GRAPHRAG_LOCAL_SEARCH_LLM_MAX_TOKENS": "12", + "GRAPHRAG_LOCAL_SEARCH_TOP_K_RELATIONSHIPS": "15", + "GRAPHRAG_LOCAL_SEARCH_TOP_K_ENTITIES": "14", + "GRAPHRAG_LOCAL_SEARCH_CONVERSATION_HISTORY_MAX_TURNS": "2", + "GRAPHRAG_LOCAL_SEARCH_MAX_TOKENS": "142435", + "GRAPHRAG_GLOBAL_SEARCH_MAX_TOKENS": "5123", + "GRAPHRAG_GLOBAL_SEARCH_DATA_MAX_TOKENS": "123", + "GRAPHRAG_GLOBAL_SEARCH_MAP_MAX_TOKENS": "4123", + "GRAPHRAG_GLOBAL_SEARCH_CONCURRENCY": "7", + "GRAPHRAG_GLOBAL_SEARCH_REDUCE_MAX_TOKENS": "15432", +} + + +class TestDefaultConfig(unittest.TestCase): + def test_clear_warnings(self): + """Just clearing unused import warnings""" + assert CacheConfig is not None + assert ChunkingConfig is not None + assert ClaimExtractionConfig is not None + assert ClusterGraphConfig is not None + assert CommunityReportsConfig is not None + assert EmbedGraphConfig is not None + assert EntityExtractionConfig is not None + assert GlobalSearchConfig is not None + assert GraphRagConfig is not None + assert InputConfig is not None + assert LLMParameters is not None + assert LocalSearchConfig is not None + assert ParallelizationParameters is not None + assert ReportingConfig is not None + assert SnapshotsConfig is not None + assert StorageConfig is not None + assert SummarizeDescriptionsConfig is not None + assert TextEmbeddingConfig is not None + assert UmapConfig is not None + assert PipelineConfig is not None + assert PipelineFileReportingConfig is not None + assert PipelineFileStorageConfig is not None + assert PipelineInputConfig is not None + assert PipelineFileCacheConfig is not None + assert PipelineWorkflowReference is not None + + @mock.patch.dict(os.environ, {"OPENAI_API_KEY": "test"}, clear=True) + def test_string_repr(self): + # __str__ can be json loaded + config = create_graphrag_config() + string_repr = str(config) + assert string_repr is not None + assert json.loads(string_repr) is not None + + # __repr__ can be eval()'d + repr_str = config.__repr__() + # TODO: add __repr__ to datashaper enum + repr_str = repr_str.replace("async_mode=,", "") + assert eval(repr_str) is not None + + # Pipeline config __str__ can be json loaded + pipeline_config = create_pipeline_config(config) + string_repr = str(pipeline_config) + assert string_repr is not None + assert json.loads(string_repr) is not None + + # Pipeline config __repr__ can be eval()'d + repr_str = pipeline_config.__repr__() + # TODO: add __repr__ to datashaper enum + repr_str = repr_str.replace( + "'async_mode': ,", "" + ) + assert eval(repr_str) is not None + + @mock.patch.dict(os.environ, {}, clear=True) + def test_default_config_with_no_env_vars_throws(self): + with pytest.raises(ApiKeyMissingError): + # This should throw an error because the API key is missing + create_pipeline_config(create_graphrag_config()) + + @mock.patch.dict(os.environ, {"GRAPHRAG_API_KEY": "test"}, clear=True) + def test_default_config_with_api_key_passes(self): + # doesn't throw + config = create_pipeline_config(create_graphrag_config()) + assert config is not None + + @mock.patch.dict(os.environ, {"OPENAI_API_KEY": "test"}, clear=True) + def test_default_config_with_oai_key_passes_envvar(self): + # doesn't throw + config = create_pipeline_config(create_graphrag_config()) + assert config is not None + + def test_default_config_with_oai_key_passes_obj(self): + # doesn't throw + config = create_pipeline_config( + create_graphrag_config({"llm": {"api_key": "test"}}) + ) + assert config is not None + + @mock.patch.dict( + os.environ, + {"GRAPHRAG_API_KEY": "test", "GRAPHRAG_LLM_TYPE": "azure_openai_chat"}, + clear=True, + ) + def test_throws_if_azure_is_used_without_api_base_envvar(self): + with pytest.raises(AzureApiBaseMissingError): + create_graphrag_config() + + @mock.patch.dict(os.environ, {"GRAPHRAG_API_KEY": "test"}, clear=True) + def test_throws_if_azure_is_used_without_api_base_obj(self): + with pytest.raises(AzureApiBaseMissingError): + create_graphrag_config( + GraphRagConfigInput(llm=LLMParametersInput(type="azure_openai_chat")) + ) + + @mock.patch.dict( + os.environ, + { + "GRAPHRAG_API_KEY": "test", + "GRAPHRAG_LLM_TYPE": "azure_openai_chat", + "GRAPHRAG_API_BASE": "http://some/base", + }, + clear=True, + ) + def test_throws_if_azure_is_used_without_llm_deployment_name_envvar(self): + with pytest.raises(AzureDeploymentNameMissingError): + create_graphrag_config() + + @mock.patch.dict(os.environ, {"GRAPHRAG_API_KEY": "test"}, clear=True) + def test_throws_if_azure_is_used_without_llm_deployment_name_obj(self): + with pytest.raises(AzureDeploymentNameMissingError): + create_graphrag_config( + GraphRagConfigInput( + llm=LLMParametersInput( + type="azure_openai_chat", api_base="http://some/base" + ) + ) + ) + + @mock.patch.dict( + os.environ, + { + "GRAPHRAG_API_KEY": "test", + "GRAPHRAG_EMBEDDING_TYPE": "azure_openai_embedding", + "GRAPHRAG_EMBEDDING_DEPLOYMENT_NAME": "x", + }, + clear=True, + ) + def test_throws_if_azure_is_used_without_embedding_api_base_envvar(self): + with pytest.raises(AzureApiBaseMissingError): + create_graphrag_config() + + @mock.patch.dict(os.environ, {"GRAPHRAG_API_KEY": "test"}, clear=True) + def test_throws_if_azure_is_used_without_embedding_api_base_obj(self): + with pytest.raises(AzureApiBaseMissingError): + create_graphrag_config( + GraphRagConfigInput( + embeddings=TextEmbeddingConfigInput( + llm=LLMParametersInput( + type="azure_openai_embedding", + deployment_name="x", + ) + ), + ) + ) + + @mock.patch.dict( + os.environ, + { + "GRAPHRAG_API_KEY": "test", + "GRAPHRAG_API_BASE": "http://some/base", + "GRAPHRAG_LLM_DEPLOYMENT_NAME": "x", + "GRAPHRAG_LLM_TYPE": "azure_openai_chat", + "GRAPHRAG_EMBEDDING_TYPE": "azure_openai_embedding", + }, + clear=True, + ) + def test_throws_if_azure_is_used_without_embedding_deployment_name_envvar(self): + with pytest.raises(AzureDeploymentNameMissingError): + create_graphrag_config() + + @mock.patch.dict(os.environ, {"GRAPHRAG_API_KEY": "test"}, clear=True) + def test_throws_if_azure_is_used_without_embedding_deployment_name_obj(self): + with pytest.raises(AzureDeploymentNameMissingError): + create_graphrag_config( + GraphRagConfigInput( + llm=LLMParametersInput( + type="azure_openai_chat", + api_base="http://some/base", + deployment_name="model-deployment-name-x", + ), + embeddings=TextEmbeddingConfigInput( + llm=LLMParametersInput( + type="azure_openai_embedding", + ) + ), + ) + ) + + @mock.patch.dict(os.environ, {"GRAPHRAG_API_KEY": "test"}, clear=True) + def test_minimim_azure_config_object(self): + config = create_graphrag_config( + GraphRagConfigInput( + llm=LLMParametersInput( + type="azure_openai_chat", + api_base="http://some/base", + deployment_name="model-deployment-name-x", + ), + embeddings=TextEmbeddingConfigInput( + llm=LLMParametersInput( + type="azure_openai_embedding", + deployment_name="model-deployment-name", + ) + ), + ) + ) + assert config is not None + + @mock.patch.dict( + os.environ, + { + "GRAPHRAG_API_KEY": "test", + "GRAPHRAG_LLM_TYPE": "azure_openai_chat", + "GRAPHRAG_LLM_DEPLOYMENT_NAME": "x", + }, + clear=True, + ) + def test_throws_if_azure_is_used_without_api_base(self): + with pytest.raises(AzureApiBaseMissingError): + create_graphrag_config() + + @mock.patch.dict( + os.environ, + { + "GRAPHRAG_API_KEY": "test", + "GRAPHRAG_LLM_TYPE": "azure_openai_chat", + "GRAPHRAG_LLM_API_BASE": "http://some/base", + }, + clear=True, + ) + def test_throws_if_azure_is_used_without_llm_deployment_name(self): + with pytest.raises(AzureDeploymentNameMissingError): + create_graphrag_config() + + @mock.patch.dict( + os.environ, + { + "GRAPHRAG_API_KEY": "test", + "GRAPHRAG_LLM_TYPE": "azure_openai_chat", + "GRAPHRAG_API_BASE": "http://some/base", + "GRAPHRAG_LLM_DEPLOYMENT_NAME": "model-deployment-name-x", + "GRAPHRAG_EMBEDDING_TYPE": "azure_openai_embedding", + }, + clear=True, + ) + def test_throws_if_azure_is_used_without_embedding_deployment_name(self): + with pytest.raises(AzureDeploymentNameMissingError): + create_graphrag_config() + + @mock.patch.dict( + os.environ, + {"GRAPHRAG_API_KEY": "test", "GRAPHRAG_INPUT_FILE_TYPE": "csv"}, + clear=True, + ) + def test_csv_input_returns_correct_config(self): + config = create_pipeline_config(create_graphrag_config(root_dir="/some/root")) + assert config.root_dir == "/some/root" + # Make sure the input is a CSV input + assert isinstance(config.input, PipelineCSVInputConfig) + assert (config.input.file_pattern or "") == ".*\\.csv$" # type: ignore + + @mock.patch.dict( + os.environ, + {"GRAPHRAG_API_KEY": "test", "GRAPHRAG_INPUT_FILE_TYPE": "text"}, + clear=True, + ) + def test_text_input_returns_correct_config(self): + config = create_pipeline_config(create_graphrag_config(root_dir=".")) + assert isinstance(config.input, PipelineTextInputConfig) + assert config.input is not None + assert (config.input.file_pattern or "") == ".*\\.txt$" # type: ignore + + def test_all_env_vars_is_accurate(self): + env_var_docs_path = Path("docsite/posts/config/env_vars.md") + query_docs_path = Path("docsite/posts/query/3-cli.md") + + env_var_docs = env_var_docs_path.read_text(encoding="utf-8") + query_docs = query_docs_path.read_text(encoding="utf-8") + + def find_envvar_names(text) -> set[str]: + pattern = r"`(GRAPHRAG_[^`]+)`" + found = re.findall(pattern, text) + found = {f for f in found if not f.endswith("_")} + return {*found} + + graphrag_strings = find_envvar_names(env_var_docs) | find_envvar_names( + query_docs + ) + + missing = {s for s in graphrag_strings if s not in ALL_ENV_VARS} - { + # Remove configs covered by the base LLM connection configs + "GRAPHRAG_LLM_API_KEY", + "GRAPHRAG_LLM_API_BASE", + "GRAPHRAG_LLM_API_VERSION", + "GRAPHRAG_LLM_API_ORGANIZATION", + "GRAPHRAG_LLM_API_PROXY", + "GRAPHRAG_EMBEDDING_API_KEY", + "GRAPHRAG_EMBEDDING_API_BASE", + "GRAPHRAG_EMBEDDING_API_VERSION", + "GRAPHRAG_EMBEDDING_API_ORGANIZATION", + "GRAPHRAG_EMBEDDING_API_PROXY", + } + if missing: + msg = f"{len(missing)} missing env vars: {missing}" + print(msg) + raise ValueError(msg) + + @mock.patch.dict( + os.environ, + {"GRAPHRAG_API_KEY": "test"}, + clear=True, + ) + def test_malformed_input_dict_throws(self): + with pytest.raises(ValidationError): + create_graphrag_config(cast(Any, {"llm": 12})) + + @mock.patch.dict( + os.environ, + ALL_ENV_VARS, + clear=True, + ) + def test_create_parameters_from_env_vars(self) -> None: + parameters = create_graphrag_config() + assert parameters.async_mode == "asyncio" + assert parameters.cache.storage_account_blob_url == "cache_account_blob_url" + assert parameters.cache.base_dir == "/some/cache/dir" + assert parameters.cache.connection_string == "test_cs1" + assert parameters.cache.container_name == "test_cn1" + assert parameters.cache.type == CacheType.blob + assert parameters.chunks.group_by_columns == ["a", "b"] + assert parameters.chunks.overlap == 12 + assert parameters.chunks.size == 500 + assert parameters.claim_extraction.enabled + assert parameters.claim_extraction.description == "test 123" + assert parameters.claim_extraction.max_gleanings == 5000 + assert parameters.claim_extraction.prompt == "tests/unit/config/prompt-a.txt" + assert parameters.cluster_graph.max_cluster_size == 123 + assert parameters.community_reports.max_length == 23456 + assert parameters.community_reports.prompt == "tests/unit/config/prompt-b.txt" + assert parameters.embed_graph.enabled + assert parameters.embed_graph.iterations == 878787 + assert parameters.embed_graph.num_walks == 5_000_000 + assert parameters.embed_graph.random_seed == 10101 + assert parameters.embed_graph.walk_length == 555111 + assert parameters.embed_graph.window_size == 12345 + assert parameters.embeddings.batch_max_tokens == 17 + assert parameters.embeddings.batch_size == 1_000_000 + assert parameters.embeddings.llm.concurrent_requests == 12 + assert parameters.embeddings.llm.deployment_name == "model-deployment-name" + assert parameters.embeddings.llm.max_retries == 3 + assert parameters.embeddings.llm.max_retry_wait == 0.1123 + assert parameters.embeddings.llm.model == "text-embedding-2" + assert parameters.embeddings.llm.requests_per_minute == 500 + assert parameters.embeddings.llm.sleep_on_rate_limit_recommendation is False + assert parameters.embeddings.llm.tokens_per_minute == 7000 + assert parameters.embeddings.llm.type == "azure_openai_embedding" + assert parameters.embeddings.parallelization.num_threads == 2345 + assert parameters.embeddings.parallelization.stagger == 0.456 + assert parameters.embeddings.skip == ["a1", "b1", "c1"] + assert parameters.embeddings.target == "all" + assert parameters.encoding_model == "test123" + assert parameters.entity_extraction.entity_types == ["cat", "dog", "elephant"] + assert parameters.entity_extraction.llm.api_base == "http://some/base" + assert parameters.entity_extraction.max_gleanings == 112 + assert parameters.entity_extraction.prompt == "tests/unit/config/prompt-c.txt" + assert parameters.input.storage_account_blob_url == "input_account_blob_url" + assert parameters.input.base_dir == "/some/input/dir" + assert parameters.input.connection_string == "input_cs" + assert parameters.input.container_name == "input_cn" + assert parameters.input.document_attribute_columns == ["test1", "test2"] + assert parameters.input.encoding == "utf-16" + assert parameters.input.file_pattern == ".*\\test\\.txt$" + assert parameters.input.file_type == InputFileType.text + assert parameters.input.source_column == "test_source" + assert parameters.input.text_column == "test_text" + assert parameters.input.timestamp_column == "test_timestamp" + assert parameters.input.timestamp_format == "test_format" + assert parameters.input.title_column == "test_title" + assert parameters.input.type == InputType.blob + assert parameters.llm.api_base == "http://some/base" + assert parameters.llm.api_key == "test" + assert parameters.llm.api_version == "v1234" + assert parameters.llm.concurrent_requests == 12 + assert parameters.llm.deployment_name == "model-deployment-name-x" + assert parameters.llm.max_retries == 312 + assert parameters.llm.max_retry_wait == 0.1122 + assert parameters.llm.max_tokens == 15000 + assert parameters.llm.model == "test-llm" + assert parameters.llm.model_supports_json + assert parameters.llm.organization == "test_org" + assert parameters.llm.proxy == "http://some/proxy" + assert parameters.llm.request_timeout == 12.7 + assert parameters.llm.requests_per_minute == 900 + assert parameters.llm.sleep_on_rate_limit_recommendation is False + assert parameters.llm.tokens_per_minute == 8000 + assert parameters.llm.type == "azure_openai_chat" + assert parameters.parallelization.num_threads == 987 + assert parameters.parallelization.stagger == 0.123 + assert ( + parameters.reporting.storage_account_blob_url + == "reporting_account_blob_url" + ) + assert parameters.reporting.base_dir == "/some/reporting/dir" + assert parameters.reporting.connection_string == "test_cs2" + assert parameters.reporting.container_name == "test_cn2" + assert parameters.reporting.type == ReportingType.blob + assert parameters.skip_workflows == ["a", "b", "c"] + assert parameters.snapshots.graphml + assert parameters.snapshots.raw_entities + assert parameters.snapshots.top_level_nodes + assert parameters.storage.storage_account_blob_url == "storage_account_blob_url" + assert parameters.storage.base_dir == "/some/storage/dir" + assert parameters.storage.connection_string == "test_cs" + assert parameters.storage.container_name == "test_cn" + assert parameters.storage.type == StorageType.blob + assert parameters.summarize_descriptions.max_length == 12345 + assert ( + parameters.summarize_descriptions.prompt == "tests/unit/config/prompt-d.txt" + ) + assert parameters.umap.enabled + assert parameters.local_search.text_unit_prop == 0.713 + assert parameters.local_search.community_prop == 0.1234 + assert parameters.local_search.llm_max_tokens == 12 + assert parameters.local_search.top_k_relationships == 15 + assert parameters.local_search.conversation_history_max_turns == 2 + assert parameters.local_search.top_k_entities == 14 + assert parameters.local_search.max_tokens == 142435 + assert parameters.global_search.max_tokens == 5123 + assert parameters.global_search.data_max_tokens == 123 + assert parameters.global_search.map_max_tokens == 4123 + assert parameters.global_search.concurrency == 7 + assert parameters.global_search.reduce_max_tokens == 15432 + + @mock.patch.dict(os.environ, {"API_KEY_X": "test"}, clear=True) + def test_create_parameters(self) -> None: + parameters = create_graphrag_config( + GraphRagConfigInput( + llm=LLMParametersInput(api_key="${API_KEY_X}", model="test-llm"), + storage=StorageConfigInput( + type=StorageType.blob, + connection_string="test_cs", + container_name="test_cn", + base_dir="/some/storage/dir", + storage_account_blob_url="storage_account_blob_url", + ), + cache=CacheConfigInput( + type=CacheType.blob, + connection_string="test_cs1", + container_name="test_cn1", + base_dir="/some/cache/dir", + storage_account_blob_url="cache_account_blob_url", + ), + reporting=ReportingConfigInput( + type=ReportingType.blob, + connection_string="test_cs2", + container_name="test_cn2", + base_dir="/some/reporting/dir", + storage_account_blob_url="reporting_account_blob_url", + ), + input=InputConfigInput( + file_type=InputFileType.text, + file_encoding="utf-16", + document_attribute_columns=["test1", "test2"], + base_dir="/some/input/dir", + connection_string="input_cs", + container_name="input_cn", + file_pattern=".*\\test\\.txt$", + source_column="test_source", + text_column="test_text", + timestamp_column="test_timestamp", + timestamp_format="test_format", + title_column="test_title", + type="blob", + storage_account_blob_url="input_account_blob_url", + ), + embed_graph=EmbedGraphConfigInput( + enabled=True, + num_walks=5_000_000, + iterations=878787, + random_seed=10101, + walk_length=555111, + ), + embeddings=TextEmbeddingConfigInput( + batch_size=1_000_000, + batch_max_tokens=8000, + skip=["a1", "b1", "c1"], + llm=LLMParametersInput(model="text-embedding-2"), + ), + chunks=ChunkingConfigInput( + size=500, overlap=12, group_by_columns=["a", "b"] + ), + snapshots=SnapshotsConfigInput( + graphml=True, + raw_entities=True, + top_level_nodes=True, + ), + entity_extraction=EntityExtractionConfigInput( + max_gleanings=112, + entity_types=["cat", "dog", "elephant"], + prompt="entity_extraction_prompt_file.txt", + ), + summarize_descriptions=SummarizeDescriptionsConfigInput( + max_length=12345, prompt="summarize_prompt_file.txt" + ), + community_reports=CommunityReportsConfigInput( + max_length=23456, + prompt="community_report_prompt_file.txt", + max_input_length=12345, + ), + claim_extraction=ClaimExtractionConfigInput( + description="test 123", + max_gleanings=5000, + prompt="claim_extraction_prompt_file.txt", + ), + cluster_graph=ClusterGraphConfigInput( + max_cluster_size=123, + ), + umap=UmapConfigInput(enabled=True), + encoding_model="test123", + skip_workflows=["a", "b", "c"], + ), + ".", + ) + + assert parameters.cache.base_dir == "/some/cache/dir" + assert parameters.cache.connection_string == "test_cs1" + assert parameters.cache.container_name == "test_cn1" + assert parameters.cache.type == CacheType.blob + assert parameters.cache.storage_account_blob_url == "cache_account_blob_url" + assert parameters.chunks.group_by_columns == ["a", "b"] + assert parameters.chunks.overlap == 12 + assert parameters.chunks.size == 500 + assert parameters.claim_extraction.description == "test 123" + assert parameters.claim_extraction.max_gleanings == 5000 + assert parameters.claim_extraction.prompt == "claim_extraction_prompt_file.txt" + assert parameters.cluster_graph.max_cluster_size == 123 + assert parameters.community_reports.max_input_length == 12345 + assert parameters.community_reports.max_length == 23456 + assert parameters.community_reports.prompt == "community_report_prompt_file.txt" + assert parameters.embed_graph.enabled + assert parameters.embed_graph.iterations == 878787 + assert parameters.embed_graph.num_walks == 5_000_000 + assert parameters.embed_graph.random_seed == 10101 + assert parameters.embed_graph.walk_length == 555111 + assert parameters.embeddings.batch_max_tokens == 8000 + assert parameters.embeddings.batch_size == 1_000_000 + assert parameters.embeddings.llm.model == "text-embedding-2" + assert parameters.embeddings.skip == ["a1", "b1", "c1"] + assert parameters.encoding_model == "test123" + assert parameters.entity_extraction.entity_types == ["cat", "dog", "elephant"] + assert parameters.entity_extraction.max_gleanings == 112 + assert ( + parameters.entity_extraction.prompt == "entity_extraction_prompt_file.txt" + ) + assert parameters.input.base_dir == "/some/input/dir" + assert parameters.input.connection_string == "input_cs" + assert parameters.input.container_name == "input_cn" + assert parameters.input.document_attribute_columns == ["test1", "test2"] + assert parameters.input.encoding == "utf-16" + assert parameters.input.file_pattern == ".*\\test\\.txt$" + assert parameters.input.source_column == "test_source" + assert parameters.input.type == "blob" + assert parameters.input.text_column == "test_text" + assert parameters.input.timestamp_column == "test_timestamp" + assert parameters.input.timestamp_format == "test_format" + assert parameters.input.title_column == "test_title" + assert parameters.input.file_type == InputFileType.text + assert parameters.input.storage_account_blob_url == "input_account_blob_url" + assert parameters.llm.api_key == "test" + assert parameters.llm.model == "test-llm" + assert parameters.reporting.base_dir == "/some/reporting/dir" + assert parameters.reporting.connection_string == "test_cs2" + assert parameters.reporting.container_name == "test_cn2" + assert parameters.reporting.type == ReportingType.blob + assert ( + parameters.reporting.storage_account_blob_url + == "reporting_account_blob_url" + ) + assert parameters.skip_workflows == ["a", "b", "c"] + assert parameters.snapshots.graphml + assert parameters.snapshots.raw_entities + assert parameters.snapshots.top_level_nodes + assert parameters.storage.base_dir == "/some/storage/dir" + assert parameters.storage.connection_string == "test_cs" + assert parameters.storage.container_name == "test_cn" + assert parameters.storage.type == StorageType.blob + assert parameters.storage.storage_account_blob_url == "storage_account_blob_url" + assert parameters.summarize_descriptions.max_length == 12345 + assert parameters.summarize_descriptions.prompt == "summarize_prompt_file.txt" + assert parameters.umap.enabled + + @mock.patch.dict( + os.environ, + {"GRAPHRAG_API_KEY": "test"}, + clear=True, + ) + def test_default_values(self) -> None: + parameters = create_graphrag_config() + assert parameters.async_mode == defs.ASYNC_MODE + assert parameters.cache.base_dir == defs.CACHE_BASE_DIR + assert parameters.cache.type == defs.CACHE_TYPE + assert parameters.cache.base_dir == defs.CACHE_BASE_DIR + assert parameters.chunks.group_by_columns == defs.CHUNK_GROUP_BY_COLUMNS + assert parameters.chunks.overlap == defs.CHUNK_OVERLAP + assert parameters.chunks.size == defs.CHUNK_SIZE + assert parameters.claim_extraction.description == defs.CLAIM_DESCRIPTION + assert parameters.claim_extraction.max_gleanings == defs.CLAIM_MAX_GLEANINGS + assert ( + parameters.community_reports.max_input_length + == defs.COMMUNITY_REPORT_MAX_INPUT_LENGTH + ) + assert ( + parameters.community_reports.max_length == defs.COMMUNITY_REPORT_MAX_LENGTH + ) + assert parameters.embeddings.batch_max_tokens == defs.EMBEDDING_BATCH_MAX_TOKENS + assert parameters.embeddings.batch_size == defs.EMBEDDING_BATCH_SIZE + assert parameters.embeddings.llm.model == defs.EMBEDDING_MODEL + assert parameters.embeddings.target == defs.EMBEDDING_TARGET + assert parameters.embeddings.llm.type == defs.EMBEDDING_TYPE + assert ( + parameters.embeddings.llm.requests_per_minute + == defs.LLM_REQUESTS_PER_MINUTE + ) + assert parameters.embeddings.llm.tokens_per_minute == defs.LLM_TOKENS_PER_MINUTE + assert ( + parameters.embeddings.llm.sleep_on_rate_limit_recommendation + == defs.LLM_SLEEP_ON_RATE_LIMIT_RECOMMENDATION + ) + assert ( + parameters.entity_extraction.entity_types + == defs.ENTITY_EXTRACTION_ENTITY_TYPES + ) + assert ( + parameters.entity_extraction.max_gleanings + == defs.ENTITY_EXTRACTION_MAX_GLEANINGS + ) + assert parameters.encoding_model == defs.ENCODING_MODEL + assert parameters.input.base_dir == defs.INPUT_BASE_DIR + assert parameters.input.file_pattern == defs.INPUT_CSV_PATTERN + assert parameters.input.encoding == defs.INPUT_FILE_ENCODING + assert parameters.input.type == defs.INPUT_TYPE + assert parameters.input.base_dir == defs.INPUT_BASE_DIR + assert parameters.input.text_column == defs.INPUT_TEXT_COLUMN + assert parameters.input.file_type == defs.INPUT_FILE_TYPE + assert parameters.llm.concurrent_requests == defs.LLM_CONCURRENT_REQUESTS + assert parameters.llm.max_retries == defs.LLM_MAX_RETRIES + assert parameters.llm.max_retry_wait == defs.LLM_MAX_RETRY_WAIT + assert parameters.llm.max_tokens == defs.LLM_MAX_TOKENS + assert parameters.llm.model == defs.LLM_MODEL + assert parameters.llm.request_timeout == defs.LLM_REQUEST_TIMEOUT + assert parameters.llm.requests_per_minute == defs.LLM_REQUESTS_PER_MINUTE + assert parameters.llm.tokens_per_minute == defs.LLM_TOKENS_PER_MINUTE + assert ( + parameters.llm.sleep_on_rate_limit_recommendation + == defs.LLM_SLEEP_ON_RATE_LIMIT_RECOMMENDATION + ) + assert parameters.llm.type == defs.LLM_TYPE + assert parameters.cluster_graph.max_cluster_size == defs.MAX_CLUSTER_SIZE + assert parameters.embed_graph.enabled == defs.NODE2VEC_ENABLED + assert parameters.embed_graph.iterations == defs.NODE2VEC_ITERATIONS + assert parameters.embed_graph.num_walks == defs.NODE2VEC_NUM_WALKS + assert parameters.embed_graph.random_seed == defs.NODE2VEC_RANDOM_SEED + assert parameters.embed_graph.walk_length == defs.NODE2VEC_WALK_LENGTH + assert parameters.embed_graph.window_size == defs.NODE2VEC_WINDOW_SIZE + assert ( + parameters.parallelization.num_threads == defs.PARALLELIZATION_NUM_THREADS + ) + assert parameters.parallelization.stagger == defs.PARALLELIZATION_STAGGER + assert parameters.reporting.type == defs.REPORTING_TYPE + assert parameters.reporting.base_dir == defs.REPORTING_BASE_DIR + assert parameters.snapshots.graphml == defs.SNAPSHOTS_GRAPHML + assert parameters.snapshots.raw_entities == defs.SNAPSHOTS_RAW_ENTITIES + assert parameters.snapshots.top_level_nodes == defs.SNAPSHOTS_TOP_LEVEL_NODES + assert parameters.storage.base_dir == defs.STORAGE_BASE_DIR + assert parameters.storage.type == defs.STORAGE_TYPE + assert parameters.umap.enabled == defs.UMAP_ENABLED + + @mock.patch.dict( + os.environ, + {"GRAPHRAG_API_KEY": "test"}, + clear=True, + ) + def test_prompt_file_reading(self): + config = create_graphrag_config({ + "entity_extraction": {"prompt": "tests/unit/config/prompt-a.txt"}, + "claim_extraction": {"prompt": "tests/unit/config/prompt-b.txt"}, + "community_reports": {"prompt": "tests/unit/config/prompt-c.txt"}, + "summarize_descriptions": {"prompt": "tests/unit/config/prompt-d.txt"}, + }) + strategy = config.entity_extraction.resolved_strategy(".", "abc123") + assert strategy["extraction_prompt"] == "Hello, World! A" + assert strategy["encoding_name"] == "abc123" + + strategy = config.claim_extraction.resolved_strategy(".") + assert strategy["extraction_prompt"] == "Hello, World! B" + + strategy = config.community_reports.resolved_strategy(".") + assert strategy["extraction_prompt"] == "Hello, World! C" + + strategy = config.summarize_descriptions.resolved_strategy(".") + assert strategy["summarize_prompt"] == "Hello, World! D" + + +@mock.patch.dict( + os.environ, + { + "PIPELINE_LLM_API_KEY": "test", + "PIPELINE_LLM_API_BASE": "http://test", + "PIPELINE_LLM_API_VERSION": "v1", + "PIPELINE_LLM_MODEL": "test-llm", + "PIPELINE_LLM_DEPLOYMENT_NAME": "test", + }, + clear=True, +) +def test_yaml_load_e2e(): + config_dict = yaml.safe_load( + """ +input: + file_type: text + +llm: + type: azure_openai_chat + api_key: ${PIPELINE_LLM_API_KEY} + api_base: ${PIPELINE_LLM_API_BASE} + api_version: ${PIPELINE_LLM_API_VERSION} + model: ${PIPELINE_LLM_MODEL} + deployment_name: ${PIPELINE_LLM_DEPLOYMENT_NAME} + model_supports_json: True + tokens_per_minute: 80000 + requests_per_minute: 900 + thread_count: 50 + concurrent_requests: 25 +""" + ) + # create default configuration pipeline parameters from the custom settings + model = config_dict + parameters = create_graphrag_config(model, ".") + + assert parameters.llm.api_key == "test" + assert parameters.llm.model == "test-llm" + assert parameters.llm.api_base == "http://test" + assert parameters.llm.api_version == "v1" + assert parameters.llm.deployment_name == "test" + + # generate the pipeline from the default parameters + pipeline_config = create_pipeline_config(parameters, True) + + config_str = pipeline_config.model_dump_json() + assert "${PIPELINE_LLM_API_KEY}" not in config_str + assert "${PIPELINE_LLM_API_BASE}" not in config_str + assert "${PIPELINE_LLM_API_VERSION}" not in config_str + assert "${PIPELINE_LLM_MODEL}" not in config_str + assert "${PIPELINE_LLM_DEPLOYMENT_NAME}" not in config_str diff --git a/tests/unit/indexing/__init__.py b/tests/unit/indexing/__init__.py new file mode 100644 index 00000000..0a3e38ad --- /dev/null +++ b/tests/unit/indexing/__init__.py @@ -0,0 +1,2 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License diff --git a/tests/unit/indexing/cache/__init__.py b/tests/unit/indexing/cache/__init__.py new file mode 100644 index 00000000..0a3e38ad --- /dev/null +++ b/tests/unit/indexing/cache/__init__.py @@ -0,0 +1,2 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License diff --git a/tests/unit/indexing/cache/test_file_pipeline_cache.py b/tests/unit/indexing/cache/test_file_pipeline_cache.py new file mode 100644 index 00000000..ada32396 --- /dev/null +++ b/tests/unit/indexing/cache/test_file_pipeline_cache.py @@ -0,0 +1,76 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +import asyncio +import os +import unittest + +from graphrag.index.cache import ( + JsonPipelineCache, +) +from graphrag.index.storage.file_pipeline_storage import ( + FilePipelineStorage, +) + +TEMP_DIR = "./.tmp" + + +def create_cache(): + storage = FilePipelineStorage(os.path.join(os.getcwd(), ".tmp")) + return JsonPipelineCache(storage) + + +class TestFilePipelineCache(unittest.IsolatedAsyncioTestCase): + def setUp(self): + self.cache = create_cache() + + def tearDown(self): + asyncio.run(self.cache.clear()) + + async def test_cache_clear(self): + # Create a cache directory + if not os.path.exists(TEMP_DIR): + os.mkdir(TEMP_DIR) + with open(f"{TEMP_DIR}/test1", "w") as f: + f.write("This is test1 file.") + with open(f"{TEMP_DIR}/test2", "w") as f: + f.write("This is test2 file.") + + # this invokes cache.clear() + await self.cache.clear() + + # Check if the cache directory is empty + files = os.listdir(TEMP_DIR) + assert len(files) == 0 + + async def test_child_cache(self): + await self.cache.set("test1", "test1") + assert os.path.exists(f"{TEMP_DIR}/test1") + + child = self.cache.child("test") + assert os.path.exists(f"{TEMP_DIR}/test") + + await child.set("test2", "test2") + assert os.path.exists(f"{TEMP_DIR}/test/test2") + + await self.cache.set("test1", "test1") + await self.cache.delete("test1") + assert not os.path.exists(f"{TEMP_DIR}/test1") + + async def test_cache_has(self): + test1 = "this is a test file" + await self.cache.set("test1", test1) + + assert await self.cache.has("test1") + assert not await self.cache.has("NON_EXISTENT") + assert await self.cache.get("NON_EXISTENT") is None + + async def test_get_set(self): + test1 = "this is a test file" + test2 = "\\n test" + test3 = "\\\\\\" + await self.cache.set("test1", test1) + await self.cache.set("test2", test2) + await self.cache.set("test3", test3) + assert await self.cache.get("test1") == test1 + assert await self.cache.get("test2") == test2 + assert await self.cache.get("test3") == test3 diff --git a/tests/unit/indexing/config/__init__.py b/tests/unit/indexing/config/__init__.py new file mode 100644 index 00000000..0a3e38ad --- /dev/null +++ b/tests/unit/indexing/config/__init__.py @@ -0,0 +1,2 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License diff --git a/tests/unit/indexing/config/default_config_with_everything_overridden.yml b/tests/unit/indexing/config/default_config_with_everything_overridden.yml new file mode 100644 index 00000000..7a2f712e --- /dev/null +++ b/tests/unit/indexing/config/default_config_with_everything_overridden.yml @@ -0,0 +1,20 @@ +extends: default + +input: + file_type: text + base_dir: /some/overridden/dir + file_pattern: test.txt + +storage: + type: file + +cache: + type: file + +reporting: + type: file + +workflows: + - name: TEST_WORKFLOW + steps: + - verb: TEST_VERB diff --git a/tests/unit/indexing/config/default_config_with_overridden_input.yml b/tests/unit/indexing/config/default_config_with_overridden_input.yml new file mode 100644 index 00000000..68631a31 --- /dev/null +++ b/tests/unit/indexing/config/default_config_with_overridden_input.yml @@ -0,0 +1,5 @@ +extends: default +input: + file_type: text + base_dir: /some/overridden/dir + file_pattern: test.txt diff --git a/tests/unit/indexing/config/default_config_with_overridden_workflows.yml b/tests/unit/indexing/config/default_config_with_overridden_workflows.yml new file mode 100644 index 00000000..c3c9d07c --- /dev/null +++ b/tests/unit/indexing/config/default_config_with_overridden_workflows.yml @@ -0,0 +1,6 @@ +extends: default + +workflows: + - name: TEST_WORKFLOW + steps: + - verb: TEST_VERB diff --git a/tests/unit/indexing/config/helpers.py b/tests/unit/indexing/config/helpers.py new file mode 100644 index 00000000..580d0a9f --- /dev/null +++ b/tests/unit/indexing/config/helpers.py @@ -0,0 +1,59 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +import json +import unittest +from typing import Any + +from graphrag.config import create_graphrag_config +from graphrag.index import PipelineConfig, create_pipeline_config + + +def assert_contains_default_config( + test_case: unittest.TestCase, + config: Any, + check_input=True, + check_storage=True, + check_reporting=True, + check_cache=True, + check_workflows=True, +): + """Asserts that the config contains the default config.""" + assert config is not None + assert isinstance(config, PipelineConfig) + + checked_config = json.loads( + config.model_dump_json(exclude_defaults=True, exclude_unset=True) + ) + + actual_default_config = json.loads( + create_pipeline_config(create_graphrag_config()).model_dump_json( + exclude_defaults=True, exclude_unset=True + ) + ) + props_to_ignore = ["root_dir", "extends"] + + # Make sure there is some sort of workflows + if not check_workflows: + props_to_ignore.append("workflows") + + # Make sure it tries to load some sort of input + if not check_input: + props_to_ignore.append("input") + + # Make sure it tries to load some sort of storage + if not check_storage: + props_to_ignore.append("storage") + + # Make sure it tries to load some sort of reporting + if not check_reporting: + props_to_ignore.append("reporting") + + # Make sure it tries to load some sort of cache + if not check_cache: + props_to_ignore.append("cache") + + for prop in props_to_ignore: + checked_config.pop(prop, None) + actual_default_config.pop(prop, None) + + assert actual_default_config == actual_default_config | checked_config diff --git a/tests/unit/indexing/config/test_load.py b/tests/unit/indexing/config/test_load.py new file mode 100644 index 00000000..78f6a93a --- /dev/null +++ b/tests/unit/indexing/config/test_load.py @@ -0,0 +1,121 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT Licenses +import json +import os +import unittest +from pathlib import Path +from typing import Any +from unittest import mock + +from graphrag.config import create_graphrag_config +from graphrag.index import ( + PipelineConfig, + create_pipeline_config, + load_pipeline_config, +) + +current_dir = os.path.dirname(__file__) + + +class TestLoadPipelineConfig(unittest.TestCase): + @mock.patch.dict(os.environ, {"GRAPHRAG_API_KEY": "test"}, clear=True) + def test_config_passed_in_returns_config(self): + config = PipelineConfig() + result = load_pipeline_config(config) + assert result == config + + @mock.patch.dict(os.environ, {"GRAPHRAG_API_KEY": "test"}, clear=True) + def test_loading_default_config_returns_config(self): + result = load_pipeline_config("default") + self.assert_is_default_config(result) + + @mock.patch.dict(os.environ, {"GRAPHRAG_API_KEY": "test"}, clear=True) + def test_loading_default_config_with_input_overridden(self): + config = load_pipeline_config( + str(Path(current_dir) / "default_config_with_overridden_input.yml") + ) + + # Check that the config is merged + # but skip checking the input + self.assert_is_default_config(config, check_input=False) + + if config.input is None: + msg = "Input should not be none" + raise Exception(msg) + + # Check that the input is merged + assert config.input.file_pattern == "test.txt" + assert config.input.file_type == "text" + assert config.input.base_dir == "/some/overridden/dir" + + @mock.patch.dict(os.environ, {"GRAPHRAG_API_KEY": "test"}, clear=True) + def test_loading_default_config_with_workflows_overridden(self): + config = load_pipeline_config( + str(Path(current_dir) / "default_config_with_overridden_workflows.yml") + ) + + # Check that the config is merged + # but skip checking the input + self.assert_is_default_config(config, check_workflows=False) + + # Make sure the workflows are overridden + assert len(config.workflows) == 1 + assert config.workflows[0].name == "TEST_WORKFLOW" + assert config.workflows[0].steps is not None + assert len(config.workflows[0].steps) == 1 # type: ignore + assert config.workflows[0].steps[0]["verb"] == "TEST_VERB" # type: ignore + + @mock.patch.dict(os.environ, {"GRAPHRAG_API_KEY": "test"}, clear=True) + def assert_is_default_config( + self, + config: Any, + check_input=True, + check_storage=True, + check_reporting=True, + check_cache=True, + check_workflows=True, + ): + assert config is not None + assert isinstance(config, PipelineConfig) + + checked_config = json.loads( + config.model_dump_json(exclude_defaults=True, exclude_unset=True) + ) + + actual_default_config = json.loads( + create_pipeline_config( + create_graphrag_config(root_dir=".") + ).model_dump_json(exclude_defaults=True, exclude_unset=True) + ) + props_to_ignore = ["root_dir", "extends"] + + # Make sure there is some sort of workflows + if not check_workflows: + props_to_ignore.append("workflows") + + # Make sure it tries to load some sort of input + if not check_input: + props_to_ignore.append("input") + + # Make sure it tries to load some sort of storage + if not check_storage: + props_to_ignore.append("storage") + + # Make sure it tries to load some sort of reporting + if not check_reporting: + props_to_ignore.append("reporting") + + # Make sure it tries to load some sort of cache + if not check_cache: + props_to_ignore.append("cache") + + for prop in props_to_ignore: + checked_config.pop(prop, None) + actual_default_config.pop(prop, None) + + assert actual_default_config == actual_default_config | checked_config + + def setUp(self) -> None: + os.environ["GRAPHRAG_OPENAI_API_KEY"] = "test" + os.environ["GRAPHRAG_OPENAI_EMBEDDING_API_KEY"] = "test" + return super().setUp() diff --git a/tests/unit/indexing/graph/__init__.py b/tests/unit/indexing/graph/__init__.py new file mode 100644 index 00000000..0a3e38ad --- /dev/null +++ b/tests/unit/indexing/graph/__init__.py @@ -0,0 +1,2 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License diff --git a/tests/unit/indexing/graph/extractors/__init__.py b/tests/unit/indexing/graph/extractors/__init__.py new file mode 100644 index 00000000..0a3e38ad --- /dev/null +++ b/tests/unit/indexing/graph/extractors/__init__.py @@ -0,0 +1,2 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License diff --git a/tests/unit/indexing/graph/extractors/community_reports/__init__.py b/tests/unit/indexing/graph/extractors/community_reports/__init__.py new file mode 100644 index 00000000..0a3e38ad --- /dev/null +++ b/tests/unit/indexing/graph/extractors/community_reports/__init__.py @@ -0,0 +1,2 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License diff --git a/tests/unit/indexing/graph/extractors/community_reports/test_sort_context.py b/tests/unit/indexing/graph/extractors/community_reports/test_sort_context.py new file mode 100644 index 00000000..9b664788 --- /dev/null +++ b/tests/unit/indexing/graph/extractors/community_reports/test_sort_context.py @@ -0,0 +1,204 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +import math + +from graphrag.index.graph.extractors.community_reports import sort_context + +nan = math.nan + + +def test_sort_context(): + context: list[dict] = [ + { + "title": "ALI BABA", + "degree": 1, + "node_details": { + "human_readable_id": 26, + "title": "ALI BABA", + "description": "A character from Scrooge's reading, representing a memory of his childhood imagination", + "degree": 1, + }, + "edge_details": [ + nan, + { + "human_readable_id": 28, + "source": "SCROOGE", + "target": "ALI BABA", + "description": "Scrooge recalls Ali Baba as a fond memory from his childhood readings", + "rank": 32, + }, + ], + "claim_details": [nan], + }, + { + "title": "BELLE", + "degree": 1, + "node_details": { + "human_readable_id": 31, + "title": "BELLE", + "description": "A woman from Scrooge's past, reflecting on how Scrooge's pursuit of wealth changed him and led to the end of their relationship", + "degree": 1, + }, + "edge_details": [ + nan, + { + "human_readable_id": 32, + "source": "SCROOGE", + "target": "BELLE", + "description": "Belle and Scrooge were once engaged, but their relationship ended due to Scrooge's growing obsession with wealth", + "rank": 32, + }, + ], + "claim_details": [nan], + }, + { + "title": "CHRISTMAS", + "degree": 1, + "node_details": { + "human_readable_id": 17, + "title": "CHRISTMAS", + "description": "A festive season that highlights the contrast between abundance and want, joy and misery in the story", + "degree": 1, + }, + "edge_details": [ + nan, + { + "human_readable_id": 23, + "source": "SCROOGE", + "target": "CHRISTMAS", + "description": "Scrooge's disdain for Christmas is a central theme, highlighting his miserliness and lack of compassion", + "rank": 32, + }, + ], + "claim_details": [nan], + }, + { + "title": "CHRISTMAS DAY", + "degree": 1, + "node_details": { + "human_readable_id": 57, + "title": "CHRISTMAS DAY", + "description": "The day Scrooge realizes he hasn't missed the opportunity to celebrate and spread joy", + "degree": 1, + }, + "edge_details": [ + nan, + { + "human_readable_id": 46, + "source": "SCROOGE", + "target": "CHRISTMAS DAY", + "description": "Scrooge wakes up on Christmas Day with a changed heart, ready to celebrate and spread happiness", + "rank": 32, + }, + ], + "claim_details": [nan], + }, + { + "title": "DUTCH MERCHANT", + "degree": 1, + "node_details": { + "human_readable_id": 19, + "title": "DUTCH MERCHANT", + "description": "A historical figure mentioned as having built the fireplace in Scrooge's home, adorned with tiles illustrating the Scriptures", + "degree": 1, + }, + "edge_details": [ + nan, + { + "human_readable_id": 25, + "source": "SCROOGE", + "target": "DUTCH MERCHANT", + "description": "Scrooge's fireplace, built by the Dutch Merchant, serves as a focal point in his room where he encounters Marley's Ghost", + "rank": 32, + }, + ], + "claim_details": [nan], + }, + { + "title": "FAN", + "degree": 1, + "node_details": { + "human_readable_id": 27, + "title": "FAN", + "description": "Scrooge's sister, who comes to bring him home from school for Christmas, showing a loving family relationship", + "degree": 1, + }, + "edge_details": [ + nan, + { + "human_readable_id": 29, + "source": "SCROOGE", + "target": "FAN", + "description": "Fan is Scrooge's sister, who shows love and care by bringing him home for Christmas", + "rank": 32, + }, + ], + "claim_details": [nan], + }, + { + "title": "FRED", + "degree": 1, + "node_details": { + "human_readable_id": 58, + "title": "FRED", + "description": "Scrooge's nephew, who invites Scrooge to Christmas dinner, symbolizing family reconciliation", + "degree": 1, + }, + "edge_details": [ + nan, + { + "human_readable_id": 47, + "source": "SCROOGE", + "target": "FRED", + "description": "Scrooge accepts Fred's invitation to Christmas dinner, marking a significant step in repairing their relationship", + "rank": 32, + }, + ], + "claim_details": [nan], + }, + { + "title": "GENTLEMAN", + "degree": 1, + "node_details": { + "human_readable_id": 15, + "title": "GENTLEMAN", + "description": "Represents charitable efforts to provide for the poor during the Christmas season", + "degree": 1, + }, + "edge_details": [ + nan, + { + "human_readable_id": 21, + "source": "SCROOGE", + "target": "GENTLEMAN", + "description": "The gentleman approaches Scrooge to solicit donations for the poor, which Scrooge rebuffs", + "rank": 32, + }, + ], + "claim_details": [nan], + }, + { + "title": "GHOST", + "degree": 1, + "node_details": { + "human_readable_id": 25, + "title": "GHOST", + "description": "The Ghost is a spectral entity that plays a crucial role in guiding Scrooge through an introspective journey in Charles Dickens' classic tale. This spirit, likely one of the Christmas spirits, takes Scrooge on a transformative voyage through his past memories, the realities of his present, and the potential outcomes of his future. The purpose of this journey is to make Scrooge reflect deeply on his life, encouraging a profound understanding of the joy and meaning of Christmas. By showing Scrooge scenes from his life, including the potential fate of Tiny Tim, the Ghost rebukes Scrooge for his lack of compassion, ultimately aiming to instill in him a sense of responsibility and empathy towards others. Through this experience, the Ghost seeks to enlighten Scrooge, urging him to change his ways for the better.", + "degree": 1, + }, + "edge_details": [ + nan, + { + "human_readable_id": 27, + "source": "SCROOGE", + "target": "GHOST", + "description": "The Ghost is taking Scrooge on a transformative journey by showing him scenes from his past, aiming to make him reflect on his life choices and their consequences. This spectral guide is not only focusing on Scrooge's personal history but also emphasizing the importance of Christmas and the need for a change in perspective. Through these vivid reenactments, the Ghost highlights the error of Scrooge's ways and the significant impact his actions have on others, including Tiny Tim. This experience is designed to enlighten Scrooge, encouraging him to reconsider his approach to life and the people around him.", + "rank": 32, + }, + ], + "claim_details": [nan], + }, + ] + + ctx = sort_context(context) + assert ctx is not None diff --git a/tests/unit/indexing/graph/utils/__init__.py b/tests/unit/indexing/graph/utils/__init__.py new file mode 100644 index 00000000..0a3e38ad --- /dev/null +++ b/tests/unit/indexing/graph/utils/__init__.py @@ -0,0 +1,2 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License diff --git a/tests/unit/indexing/graph/utils/test_stable_lcc.py b/tests/unit/indexing/graph/utils/test_stable_lcc.py new file mode 100644 index 00000000..02ddc298 --- /dev/null +++ b/tests/unit/indexing/graph/utils/test_stable_lcc.py @@ -0,0 +1,71 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +import unittest + +import networkx as nx + +from graphrag.index.graph.utils.stable_lcc import stable_largest_connected_component + + +class TestStableLCC(unittest.TestCase): + def test_undirected_graph_run_twice_produces_same_graph(self): + graph_in_1 = self._create_strongly_connected_graph() + graph_out_1 = stable_largest_connected_component(graph_in_1) + + graph_in_2 = self._create_strongly_connected_graph_with_edges_flipped() + graph_out_2 = stable_largest_connected_component(graph_in_2) + + # Make sure they're the same + assert "".join(nx.generate_graphml(graph_out_1)) == "".join( + nx.generate_graphml(graph_out_2) + ) + + def test_directed_graph_keeps_source_target_intact(self): + # create the test graph as a directed graph + graph_in = self._create_strongly_connected_graph_with_edges_flipped( + digraph=True + ) + graph_out = stable_largest_connected_component(graph_in.copy()) + + # Make sure edges are the same and the direction is preserved + edges_1 = [f"{edge[0]} -> {edge[1]}" for edge in graph_in.edges(data=True)] + edges_2 = [f"{edge[0]} -> {edge[1]}" for edge in graph_out.edges(data=True)] + + assert edges_1 == edges_2 + + def test_directed_graph_run_twice_produces_same_graph(self): + # create the test graph as a directed graph + graph_in = self._create_strongly_connected_graph_with_edges_flipped( + digraph=True + ) + graph_out_1 = stable_largest_connected_component(graph_in.copy()) + graph_out_2 = stable_largest_connected_component(graph_in.copy()) + + # Make sure the output is identical when run multiple times + assert "".join(nx.generate_graphml(graph_out_1)) == "".join( + nx.generate_graphml(graph_out_2) + ) + + def _create_strongly_connected_graph(self, digraph=False): + graph = nx.Graph() if not digraph else nx.DiGraph() + graph.add_node("1", node_name=1) + graph.add_node("2", node_name=2) + graph.add_node("3", node_name=3) + graph.add_node("4", node_name=4) + graph.add_edge("4", "5", degree=4) + graph.add_edge("3", "4", degree=3) + graph.add_edge("2", "3", degree=2) + graph.add_edge("1", "2", degree=1) + return graph + + def _create_strongly_connected_graph_with_edges_flipped(self, digraph=False): + graph = nx.Graph() if not digraph else nx.DiGraph() + graph.add_node("1", node_name=1) + graph.add_node("2", node_name=2) + graph.add_node("3", node_name=3) + graph.add_node("4", node_name=4) + graph.add_edge("5", "4", degree=4) + graph.add_edge("4", "3", degree=3) + graph.add_edge("3", "2", degree=2) + graph.add_edge("2", "1", degree=1) + return graph diff --git a/tests/unit/indexing/storage/__init__.py b/tests/unit/indexing/storage/__init__.py new file mode 100644 index 00000000..0a3e38ad --- /dev/null +++ b/tests/unit/indexing/storage/__init__.py @@ -0,0 +1,2 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License diff --git a/tests/unit/indexing/storage/test_blob_pipeline_storage.py b/tests/unit/indexing/storage/test_blob_pipeline_storage.py new file mode 100644 index 00000000..d2ea8683 --- /dev/null +++ b/tests/unit/indexing/storage/test_blob_pipeline_storage.py @@ -0,0 +1,96 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +"""Blob Storage Tests.""" + +import re + +from graphrag.index.storage.blob_pipeline_storage import BlobPipelineStorage + +# cspell:disable-next-line well-known-key +WELL_KNOWN_BLOB_STORAGE_KEY = "DefaultEndpointsProtocol=http;AccountName=devstoreaccount1;AccountKey=Eby8vdM02xNOcqFlqUwJPLlmEtlCDXJ1OUzFT50uSRZ6IFsuFq2UVErCz4I6tq/K1SZFPTOtr/KBHBeksoGMGw==;BlobEndpoint=http://127.0.0.1:10000/devstoreaccount1;" + + +async def test_find(): + storage = BlobPipelineStorage( + connection_string=WELL_KNOWN_BLOB_STORAGE_KEY, + container_name="testfind", + ) + try: + try: + items = list( + storage.find(base_dir="input", file_pattern=re.compile(r".*\.txt$")) + ) + items = [item[0] for item in items] + assert items == [] + + await storage.set( + "input/christmas.txt", "Merry Christmas!", encoding="utf-8" + ) + items = list( + storage.find(base_dir="input", file_pattern=re.compile(r".*\.txt$")) + ) + items = [item[0] for item in items] + assert items == ["input/christmas.txt"] + + await storage.set("test.txt", "Hello, World!", encoding="utf-8") + items = list(storage.find(file_pattern=re.compile(r".*\.txt$"))) + items = [item[0] for item in items] + assert items == ["input/christmas.txt", "test.txt"] + + output = await storage.get("test.txt") + assert output == "Hello, World!" + finally: + await storage.delete("test.txt") + output = await storage.get("test.txt") + assert output is None + finally: + storage.delete_container() + + +async def test_dotprefix(): + storage = BlobPipelineStorage( + connection_string=WELL_KNOWN_BLOB_STORAGE_KEY, + container_name="testfind", + path_prefix=".", + ) + try: + await storage.set("input/christmas.txt", "Merry Christmas!", encoding="utf-8") + items = list(storage.find(file_pattern=re.compile(r".*\.txt$"))) + items = [item[0] for item in items] + assert items == ["input/christmas.txt"] + finally: + storage.delete_container() + + +async def test_child(): + parent = BlobPipelineStorage( + connection_string=WELL_KNOWN_BLOB_STORAGE_KEY, + container_name="testchild", + ) + try: + try: + storage = parent.child("input") + await storage.set("christmas.txt", "Merry Christmas!", encoding="utf-8") + items = list(storage.find(re.compile(r".*\.txt$"))) + items = [item[0] for item in items] + assert items == ["christmas.txt"] + + await storage.set("test.txt", "Hello, World!", encoding="utf-8") + items = list(storage.find(re.compile(r".*\.txt$"))) + items = [item[0] for item in items] + print("FOUND", items) + assert items == ["christmas.txt", "test.txt"] + + output = await storage.get("test.txt") + assert output == "Hello, World!" + + items = list(parent.find(re.compile(r".*\.txt$"))) + items = [item[0] for item in items] + print("FOUND ITEMS", items) + assert items == ["input/christmas.txt", "input/test.txt"] + finally: + await parent.delete("input/test.txt") + has_test = await parent.has("input/test.txt") + assert not has_test + finally: + parent.delete_container() diff --git a/tests/unit/indexing/storage/test_file_pipeline_storage.py b/tests/unit/indexing/storage/test_file_pipeline_storage.py new file mode 100644 index 00000000..643c2a9f --- /dev/null +++ b/tests/unit/indexing/storage/test_file_pipeline_storage.py @@ -0,0 +1,50 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +"""Blob Storage Tests.""" + +import os +import re +from pathlib import Path + +from graphrag.index.storage.file_pipeline_storage import FilePipelineStorage + +__dirname__ = os.path.dirname(__file__) + + +async def test_find(): + storage = FilePipelineStorage() + items = list( + storage.find( + base_dir="tests/fixtures/text", + file_pattern=re.compile(r".*\.txt$"), + progress=None, + file_filter=None, + ) + ) + assert items == [(str(Path("tests/fixtures/text/input/dulce.txt")), {})] + output = await storage.get("tests/fixtures/text/input/dulce.txt") + assert len(output) > 0 + + await storage.set("test.txt", "Hello, World!", encoding="utf-8") + output = await storage.get("test.txt") + assert output == "Hello, World!" + await storage.delete("test.txt") + output = await storage.get("test.txt") + assert output is None + + +async def test_child(): + storage = FilePipelineStorage() + storage = storage.child("tests/fixtures/text") + items = list(storage.find(re.compile(r".*\.txt$"))) + assert items == [(str(Path("input/dulce.txt")), {})] + + output = await storage.get("input/dulce.txt") + assert len(output) > 0 + + await storage.set("test.txt", "Hello, World!", encoding="utf-8") + output = await storage.get("test.txt") + assert output == "Hello, World!" + await storage.delete("test.txt") + output = await storage.get("test.txt") + assert output is None diff --git a/tests/unit/indexing/test_exports.py b/tests/unit/indexing/test_exports.py new file mode 100644 index 00000000..232dfbbd --- /dev/null +++ b/tests/unit/indexing/test_exports.py @@ -0,0 +1,13 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +from graphrag.index import ( + create_pipeline_config, + run_pipeline, + run_pipeline_with_config, +) + + +def test_exported_functions(): + assert callable(create_pipeline_config) + assert callable(run_pipeline_with_config) + assert callable(run_pipeline) diff --git a/tests/unit/indexing/test_init_content.py b/tests/unit/indexing/test_init_content.py new file mode 100644 index 00000000..eeb641cb --- /dev/null +++ b/tests/unit/indexing/test_init_content.py @@ -0,0 +1,33 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +import re +from typing import Any, cast + +import yaml + +from graphrag.config import ( + GraphRagConfig, + create_graphrag_config, +) +from graphrag.index.init_content import INIT_YAML + + +def test_init_yaml(): + data = yaml.load(INIT_YAML, Loader=yaml.FullLoader) + config = create_graphrag_config(data) + GraphRagConfig.model_validate(config, strict=True) + + +def test_init_yaml_uncommented(): + lines = INIT_YAML.splitlines() + lines = [line for line in lines if "##" not in line] + + def uncomment_line(line: str) -> str: + leading_whitespace = cast(Any, re.search(r"^(\s*)", line)).group(1) + return re.sub(r"^\s*# ", leading_whitespace, line, count=1) + + content = "\n".join([uncomment_line(line) for line in lines]) + data = yaml.load(content, Loader=yaml.FullLoader) + config = create_graphrag_config(data) + GraphRagConfig.model_validate(config, strict=True) diff --git a/tests/unit/indexing/verbs/__init__.py b/tests/unit/indexing/verbs/__init__.py new file mode 100644 index 00000000..0a3e38ad --- /dev/null +++ b/tests/unit/indexing/verbs/__init__.py @@ -0,0 +1,2 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License diff --git a/tests/unit/indexing/verbs/entities/__init__.py b/tests/unit/indexing/verbs/entities/__init__.py new file mode 100644 index 00000000..0a3e38ad --- /dev/null +++ b/tests/unit/indexing/verbs/entities/__init__.py @@ -0,0 +1,2 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License diff --git a/tests/unit/indexing/verbs/entities/extraction/__init__.py b/tests/unit/indexing/verbs/entities/extraction/__init__.py new file mode 100644 index 00000000..0a3e38ad --- /dev/null +++ b/tests/unit/indexing/verbs/entities/extraction/__init__.py @@ -0,0 +1,2 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License diff --git a/tests/unit/indexing/verbs/entities/extraction/strategies/__init__.py b/tests/unit/indexing/verbs/entities/extraction/strategies/__init__.py new file mode 100644 index 00000000..0a3e38ad --- /dev/null +++ b/tests/unit/indexing/verbs/entities/extraction/strategies/__init__.py @@ -0,0 +1,2 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License diff --git a/tests/unit/indexing/verbs/entities/extraction/strategies/graph_intelligence/__init__.py b/tests/unit/indexing/verbs/entities/extraction/strategies/graph_intelligence/__init__.py new file mode 100644 index 00000000..0a3e38ad --- /dev/null +++ b/tests/unit/indexing/verbs/entities/extraction/strategies/graph_intelligence/__init__.py @@ -0,0 +1,2 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License diff --git a/tests/unit/indexing/verbs/entities/extraction/strategies/graph_intelligence/test_gi_entity_extraction.py b/tests/unit/indexing/verbs/entities/extraction/strategies/graph_intelligence/test_gi_entity_extraction.py new file mode 100644 index 00000000..1ebca2bf --- /dev/null +++ b/tests/unit/indexing/verbs/entities/extraction/strategies/graph_intelligence/test_gi_entity_extraction.py @@ -0,0 +1,221 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +import unittest + +import networkx as nx + +from graphrag.index.verbs.entities.extraction.strategies.graph_intelligence.run_graph_intelligence import ( + Document, + run_extract_entities, +) +from tests.unit.indexing.verbs.helpers.mock_llm import create_mock_llm + + +class TestRunChain(unittest.IsolatedAsyncioTestCase): + async def test_run_extract_entities_single_document_correct_entities_returned(self): + results = await run_extract_entities( + docs=[Document("test_text", "1")], + entity_types=["person"], + reporter=None, + args={ + "prechunked": True, + "max_gleanings": 0, + "summarize_descriptions": False, + }, + llm=create_mock_llm( + responses=[ + """ + ("entity"<|>TEST_ENTITY_1<|>COMPANY<|>TEST_ENTITY_1 is a test company) + ## + ("entity"<|>TEST_ENTITY_2<|>COMPANY<|>TEST_ENTITY_2 owns TEST_ENTITY_1 and also shares an address with TEST_ENTITY_1) + ## + ("entity"<|>TEST_ENTITY_3<|>PERSON<|>TEST_ENTITY_3 is director of TEST_ENTITY_1) + ## + ("relationship"<|>TEST_ENTITY_1<|>TEST_ENTITY_2<|>TEST_ENTITY_1 and TEST_ENTITY_2 are related because TEST_ENTITY_1 is 100% owned by TEST_ENTITY_2 and the two companies also share the same address)<|>2) + ## + ("relationship"<|>TEST_ENTITY_1<|>TEST_ENTITY_3<|>TEST_ENTITY_1 and TEST_ENTITY_3 are related because TEST_ENTITY_3 is director of TEST_ENTITY_1<|>1)) + """.strip() + ] + ), + ) + + # self.assertItemsEqual isn't available yet, or I am just silly + # so we sort the lists and compare them + assert sorted(["TEST_ENTITY_1", "TEST_ENTITY_2", "TEST_ENTITY_3"]) == sorted([ + entity["name"] for entity in results.entities + ]) + + async def test_run_extract_entities_multiple_documents_correct_entities_returned( + self, + ): + results = await run_extract_entities( + docs=[Document("text_1", "1"), Document("text_2", "2")], + entity_types=["person"], + reporter=None, + args={ + "prechunked": True, + "max_gleanings": 0, + "summarize_descriptions": False, + }, + llm=create_mock_llm( + responses=[ + """ + ("entity"<|>TEST_ENTITY_1<|>COMPANY<|>TEST_ENTITY_1 is a test company) + ## + ("entity"<|>TEST_ENTITY_2<|>COMPANY<|>TEST_ENTITY_2 owns TEST_ENTITY_1 and also shares an address with TEST_ENTITY_1) + ## + ("relationship"<|>TEST_ENTITY_1<|>TEST_ENTITY_2<|>TEST_ENTITY_1 and TEST_ENTITY_2 are related because TEST_ENTITY_1 is 100% owned by TEST_ENTITY_2 and the two companies also share the same address)<|>2) + ## + """.strip(), + """ + ("entity"<|>TEST_ENTITY_1<|>COMPANY<|>TEST_ENTITY_1 is a test company) + ## + ("entity"<|>TEST_ENTITY_3<|>PERSON<|>TEST_ENTITY_3 is director of TEST_ENTITY_1) + ## + ("relationship"<|>TEST_ENTITY_1<|>TEST_ENTITY_3<|>TEST_ENTITY_1 and TEST_ENTITY_3 are related because TEST_ENTITY_3 is director of TEST_ENTITY_1<|>1)) + """.strip(), + ] + ), + ) + + # self.assertItemsEqual isn't available yet, or I am just silly + # so we sort the lists and compare them + assert sorted(["TEST_ENTITY_1", "TEST_ENTITY_2", "TEST_ENTITY_3"]) == sorted([ + entity["name"] for entity in results.entities + ]) + + async def test_run_extract_entities_multiple_documents_correct_edges_returned(self): + results = await run_extract_entities( + docs=[Document("text_1", "1"), Document("text_2", "2")], + entity_types=["person"], + reporter=None, + args={ + "prechunked": True, + "max_gleanings": 0, + "summarize_descriptions": False, + }, + llm=create_mock_llm( + responses=[ + """ + ("entity"<|>TEST_ENTITY_1<|>COMPANY<|>TEST_ENTITY_1 is a test company) + ## + ("entity"<|>TEST_ENTITY_2<|>COMPANY<|>TEST_ENTITY_2 owns TEST_ENTITY_1 and also shares an address with TEST_ENTITY_1) + ## + ("relationship"<|>TEST_ENTITY_1<|>TEST_ENTITY_2<|>TEST_ENTITY_1 and TEST_ENTITY_2 are related because TEST_ENTITY_1 is 100% owned by TEST_ENTITY_2 and the two companies also share the same address)<|>2) + ## + """.strip(), + """ + ("entity"<|>TEST_ENTITY_1<|>COMPANY<|>TEST_ENTITY_1 is a test company) + ## + ("entity"<|>TEST_ENTITY_3<|>PERSON<|>TEST_ENTITY_3 is director of TEST_ENTITY_1) + ## + ("relationship"<|>TEST_ENTITY_1<|>TEST_ENTITY_3<|>TEST_ENTITY_1 and TEST_ENTITY_3 are related because TEST_ENTITY_3 is director of TEST_ENTITY_1<|>1)) + """.strip(), + ] + ), + ) + + # self.assertItemsEqual isn't available yet, or I am just silly + # so we sort the lists and compare them + assert results.graphml_graph is not None, "No graphml graph returned!" + graph = nx.parse_graphml(results.graphml_graph) # type: ignore + + # convert to strings for more visual comparison + edges_str = sorted([f"{edge[0]} -> {edge[1]}" for edge in graph.edges]) + assert edges_str == sorted([ + "TEST_ENTITY_1 -> TEST_ENTITY_2", + "TEST_ENTITY_1 -> TEST_ENTITY_3", + ]) + + async def test_run_extract_entities_multiple_documents_correct_entity_source_ids_mapped( + self, + ): + results = await run_extract_entities( + docs=[Document("text_1", "1"), Document("text_2", "2")], + entity_types=["person"], + reporter=None, + args={ + "prechunked": True, + "max_gleanings": 0, + "summarize_descriptions": False, + }, + llm=create_mock_llm( + responses=[ + """ + ("entity"<|>TEST_ENTITY_1<|>COMPANY<|>TEST_ENTITY_1 is a test company) + ## + ("entity"<|>TEST_ENTITY_2<|>COMPANY<|>TEST_ENTITY_2 owns TEST_ENTITY_1 and also shares an address with TEST_ENTITY_1) + ## + ("relationship"<|>TEST_ENTITY_1<|>TEST_ENTITY_2<|>TEST_ENTITY_1 and TEST_ENTITY_2 are related because TEST_ENTITY_1 is 100% owned by TEST_ENTITY_2 and the two companies also share the same address)<|>2) + ## + """.strip(), + """ + ("entity"<|>TEST_ENTITY_1<|>COMPANY<|>TEST_ENTITY_1 is a test company) + ## + ("entity"<|>TEST_ENTITY_3<|>PERSON<|>TEST_ENTITY_3 is director of TEST_ENTITY_1) + ## + ("relationship"<|>TEST_ENTITY_1<|>TEST_ENTITY_3<|>TEST_ENTITY_1 and TEST_ENTITY_3 are related because TEST_ENTITY_3 is director of TEST_ENTITY_1<|>1)) + """.strip(), + ] + ), + ) + + assert results.graphml_graph is not None, "No graphml graph returned!" + graph = nx.parse_graphml(results.graphml_graph) # type: ignore + + # TODO: The edges might come back in any order, but we're assuming they're coming + # back in the order that we passed in the docs, that might not be true + assert ( + graph.nodes["TEST_ENTITY_3"].get("source_id") == "2" + ) # TEST_ENTITY_3 should be in just 2 + assert ( + graph.nodes["TEST_ENTITY_2"].get("source_id") == "1" + ) # TEST_ENTITY_2 should be in just 1 + assert sorted( + graph.nodes["TEST_ENTITY_1"].get("source_id").split(",") + ) == sorted(["1", "2"]) # TEST_ENTITY_1 should be 1 and 2 + + async def test_run_extract_entities_multiple_documents_correct_edge_source_ids_mapped( + self, + ): + results = await run_extract_entities( + docs=[Document("text_1", "1"), Document("text_2", "2")], + entity_types=["person"], + reporter=None, + args={ + "prechunked": True, + "max_gleanings": 0, + "summarize_descriptions": False, + }, + llm=create_mock_llm( + responses=[ + """ + ("entity"<|>TEST_ENTITY_1<|>COMPANY<|>TEST_ENTITY_1 is a test company) + ## + ("entity"<|>TEST_ENTITY_2<|>COMPANY<|>TEST_ENTITY_2 owns TEST_ENTITY_1 and also shares an address with TEST_ENTITY_1) + ## + ("relationship"<|>TEST_ENTITY_1<|>TEST_ENTITY_2<|>TEST_ENTITY_1 and TEST_ENTITY_2 are related because TEST_ENTITY_1 is 100% owned by TEST_ENTITY_2 and the two companies also share the same address)<|>2) + ## + """.strip(), + """ + ("entity"<|>TEST_ENTITY_1<|>COMPANY<|>TEST_ENTITY_1 is a test company) + ## + ("entity"<|>TEST_ENTITY_3<|>PERSON<|>TEST_ENTITY_3 is director of TEST_ENTITY_1) + ## + ("relationship"<|>TEST_ENTITY_1<|>TEST_ENTITY_3<|>TEST_ENTITY_1 and TEST_ENTITY_3 are related because TEST_ENTITY_3 is director of TEST_ENTITY_1<|>1)) + """.strip(), + ] + ), + ) + + assert results.graphml_graph is not None, "No graphml graph returned!" + graph = nx.parse_graphml(results.graphml_graph) # type: ignore + edges = list(graph.edges(data=True)) + + # should only have 2 edges + assert len(edges) == 2 + + # Sort by source_id for consistent ordering + edge_source_ids = sorted([edge[2].get("source_id", "") for edge in edges]) # type: ignore + assert edge_source_ids[0].split(",") == ["1"] # type: ignore + assert edge_source_ids[1].split(",") == ["2"] # type: ignore diff --git a/tests/unit/indexing/verbs/helpers/__init__.py b/tests/unit/indexing/verbs/helpers/__init__.py new file mode 100644 index 00000000..0a3e38ad --- /dev/null +++ b/tests/unit/indexing/verbs/helpers/__init__.py @@ -0,0 +1,2 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License diff --git a/tests/unit/indexing/verbs/helpers/mock_llm.py b/tests/unit/indexing/verbs/helpers/mock_llm.py new file mode 100644 index 00000000..ba27da9c --- /dev/null +++ b/tests/unit/indexing/verbs/helpers/mock_llm.py @@ -0,0 +1,10 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +from graphrag.llm import CompletionLLM, MockChatLLM + + +def create_mock_llm( + responses: list[str], +) -> CompletionLLM: + """Creates a mock LLM that returns the given responses.""" + return MockChatLLM(responses) diff --git a/tests/unit/indexing/verbs/text/__init__.py b/tests/unit/indexing/verbs/text/__init__.py new file mode 100644 index 00000000..0a3e38ad --- /dev/null +++ b/tests/unit/indexing/verbs/text/__init__.py @@ -0,0 +1,2 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License diff --git a/tests/unit/indexing/verbs/text/test_split.py b/tests/unit/indexing/verbs/text/test_split.py new file mode 100644 index 00000000..d9ced064 --- /dev/null +++ b/tests/unit/indexing/verbs/text/test_split.py @@ -0,0 +1,51 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +import unittest + +import pandas as pd +import pytest + +from graphrag.index.verbs.text.split import text_split_df + + +class TestTextSplit(unittest.TestCase): + def test_empty_string(self): + input = pd.DataFrame([{"in": ""}]) + result = text_split_df(input, "in", "out", ",").to_dict(orient="records") + + assert len(result) == 1 + assert result[0]["out"] == [] + + def test_string_without_seperator(self): + input = pd.DataFrame([{"in": "test_string_without_seperator"}]) + result = text_split_df(input, "in", "out", ",").to_dict(orient="records") + + assert len(result) == 1 + assert result[0]["out"] == ["test_string_without_seperator"] + + def test_string_with_seperator(self): + input = pd.DataFrame([{"in": "test_1,test_2"}]) + result = text_split_df(input, "in", "out", ",").to_dict(orient="records") + + assert len(result) == 1 + assert result[0]["out"] == ["test_1", "test_2"] + + def test_row_with_list_as_column(self): + input = pd.DataFrame([{"in": ["test_1", "test_2"]}]) + result = text_split_df(input, "in", "out", ",").to_dict(orient="records") + + assert len(result) == 1 + assert result[0]["out"] == ["test_1", "test_2"] + + def test_non_string_column_throws_error(self): + input = pd.DataFrame([{"in": 5}]) + with pytest.raises(TypeError): + text_split_df(input, "in", "out", ",").to_dict(orient="records") + + def test_more_than_one_row_returns_correctly(self): + input = pd.DataFrame([{"in": "row_1_1,row_1_2"}, {"in": "row_2_1,row_2_2"}]) + result = text_split_df(input, "in", "out", ",").to_dict(orient="records") + + assert len(result) == 2 + assert result[0]["out"] == ["row_1_1", "row_1_2"] + assert result[1]["out"] == ["row_2_1", "row_2_2"] diff --git a/tests/unit/indexing/workflows/__init__.py b/tests/unit/indexing/workflows/__init__.py new file mode 100644 index 00000000..0a3e38ad --- /dev/null +++ b/tests/unit/indexing/workflows/__init__.py @@ -0,0 +1,2 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License diff --git a/tests/unit/indexing/workflows/helpers.py b/tests/unit/indexing/workflows/helpers.py new file mode 100644 index 00000000..512e8294 --- /dev/null +++ b/tests/unit/indexing/workflows/helpers.py @@ -0,0 +1,31 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +mock_verbs = { + "mock_verb": lambda x: x, + "mock_verb_2": lambda x: x, +} + +mock_workflows = { + "mock_workflow": lambda _x: [ + { + "verb": "mock_verb", + "args": { + "column": "test", + }, + } + ], + "mock_workflow_2": lambda _x: [ + { + "verb": "mock_verb", + "args": { + "column": "test", + }, + }, + { + "verb": "mock_verb_2", + "args": { + "column": "test", + }, + }, + ], +} diff --git a/tests/unit/indexing/workflows/test_load.py b/tests/unit/indexing/workflows/test_load.py new file mode 100644 index 00000000..6d037d51 --- /dev/null +++ b/tests/unit/indexing/workflows/test_load.py @@ -0,0 +1,237 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License +import unittest + +import pytest + +from graphrag.index.config import PipelineWorkflowReference +from graphrag.index.errors import UnknownWorkflowError +from graphrag.index.workflows.load import create_workflow, load_workflows + +from .helpers import mock_verbs, mock_workflows + + +class TestCreateWorkflow(unittest.TestCase): + def test_workflow_with_steps_should_not_fail(self): + create_workflow( + "workflow_with_steps", + [ + { + "verb": "mock_verb", + "args": { + "column": "test", + }, + } + ], + config=None, + additional_verbs=mock_verbs, + ) + + def test_non_existent_workflow_without_steps_should_crash(self): + # since we don't have a workflow named "test", and the user didn't provide any steps, we should crash + # since we don't know what to do + with pytest.raises(UnknownWorkflowError): + create_workflow("test", None, config=None, additional_verbs=mock_verbs) + + def test_existing_workflow_should_not_crash(self): + create_workflow( + "mock_workflow", + None, + config=None, + additional_verbs=mock_verbs, + additional_workflows=mock_workflows, + ) + + +class TestLoadWorkflows(unittest.TestCase): + def test_non_existent_workflow_should_crash(self): + with pytest.raises(UnknownWorkflowError): + load_workflows( + [ + PipelineWorkflowReference( + name="some_workflow_that_does_not_exist", + config=None, + ) + ], + additional_workflows=mock_workflows, + additional_verbs=mock_verbs, + ) + + def test_single_workflow_should_not_crash(self): + load_workflows( + [ + PipelineWorkflowReference( + name="mock_workflow", + config=None, + ) + ], + additional_workflows=mock_workflows, + additional_verbs=mock_verbs, + ) + + def test_multiple_workflows_should_not_crash(self): + load_workflows( + [ + PipelineWorkflowReference( + name="mock_workflow", + config=None, + ), + PipelineWorkflowReference( + name="mock_workflow_2", + config=None, + ), + ], + # the two above are in the "mock_workflows" list + additional_workflows=mock_workflows, + additional_verbs=mock_verbs, + ) + + def test_two_interdependent_workflows_should_provide_correct_order(self): + ordered_workflows, _deps = load_workflows( + [ + PipelineWorkflowReference( + name="interdependent_workflow_1", + steps=[ + { + "verb": "mock_verb", + "args": { + "column": "test", + }, + "input": { + "source": "workflow:interdependent_workflow_2" + }, # This one is dependent on the second one, so when it comes out of load_workflows, it should be first + } + ], + ), + PipelineWorkflowReference( + name="interdependent_workflow_2", + steps=[ + { + "verb": "mock_verb", + "args": { + "column": "test", + }, + } + ], + ), + ], + # the two above are in the "mock_workflows" list + additional_workflows=mock_workflows, + additional_verbs=mock_verbs, + ) + + # two should only come out + assert len(ordered_workflows) == 2 + assert ordered_workflows[0].workflow.name == "interdependent_workflow_2" + assert ordered_workflows[1].workflow.name == "interdependent_workflow_1" + + def test_three_interdependent_workflows_should_provide_correct_order(self): + ordered_workflows, _deps = load_workflows( + [ + PipelineWorkflowReference( + name="interdependent_workflow_3", + steps=[ + { + "verb": "mock_verb", + "args": { + "column": "test", + }, + } + ], + ), + PipelineWorkflowReference( + name="interdependent_workflow_1", + steps=[ + { + "verb": "mock_verb", + "args": { + "column": "test", + }, + "input": {"source": "workflow:interdependent_workflow_2"}, + } + ], + ), + PipelineWorkflowReference( + name="interdependent_workflow_2", + steps=[ + { + "verb": "mock_verb", + "args": { + "column": "test", + }, + "input": {"source": "workflow:interdependent_workflow_3"}, + } + ], + ), + ], + # the two above are in the "mock_workflows" list + additional_workflows=mock_workflows, + additional_verbs=mock_verbs, + ) + + order = [ + "interdependent_workflow_3", + "interdependent_workflow_2", + "interdependent_workflow_1", + ] + assert [x.workflow.name for x in ordered_workflows] == order + + def test_two_workflows_dependent_on_another_single_workflow_should_provide_correct_order( + self, + ): + ordered_workflows, _deps = load_workflows( + [ + # Workflows 1 and 2 are dependent on 3, so 3 should come out first + PipelineWorkflowReference( + name="interdependent_workflow_3", + steps=[ + { + "verb": "mock_verb", + "args": { + "column": "test", + }, + } + ], + ), + PipelineWorkflowReference( + name="interdependent_workflow_1", + steps=[ + { + "verb": "mock_verb", + "args": { + "column": "test", + }, + "input": {"source": "workflow:interdependent_workflow_3"}, + } + ], + ), + PipelineWorkflowReference( + name="interdependent_workflow_2", + steps=[ + { + "verb": "mock_verb", + "args": { + "column": "test", + }, + "input": {"source": "workflow:interdependent_workflow_3"}, + } + ], + ), + ], + # the two above are in the "mock_workflows" list + additional_workflows=mock_workflows, + additional_verbs=mock_verbs, + ) + + assert len(ordered_workflows) == 3 + assert ordered_workflows[0].workflow.name == "interdependent_workflow_3" + + # The order of the other two doesn't matter, but they need to be there + assert ordered_workflows[1].workflow.name in [ + "interdependent_workflow_1", + "interdependent_workflow_2", + ] + assert ordered_workflows[2].workflow.name in [ + "interdependent_workflow_1", + "interdependent_workflow_2", + ]

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