(aiclip) initial commit

This commit is contained in:
d-k-patel
2025-08-19 13:28:38 +05:30
commit 033774f45c
36 changed files with 4941 additions and 0 deletions

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name: 🐛 Bug Report
description: Report a bug or issue with aiclip
title: "[Bug] "
labels: ["bug", "needs-triage"]
body:
- type: markdown
attributes:
value: |
Thanks for reporting a bug! Please fill out the sections below to help us fix it quickly.
- type: textarea
id: description
attributes:
label: Bug Description
description: A clear description of what the bug is
placeholder: Describe the issue you're experiencing...
validations:
required: true
- type: textarea
id: steps
attributes:
label: Steps to Reproduce
description: Steps to reproduce the behavior
placeholder: |
1. Run command '...'
2. See error
value: |
1.
2.
3.
validations:
required: true
- type: textarea
id: expected
attributes:
label: Expected Behavior
description: What you expected to happen
placeholder: Describe what should have happened...
validations:
required: true
- type: textarea
id: actual
attributes:
label: Actual Behavior
description: What actually happened instead
placeholder: Describe what actually happened...
validations:
required: true
- type: textarea
id: command
attributes:
label: Command Used
description: The exact aiclip command that caused the issue
placeholder: aiclip "your command here"
render: bash
- type: textarea
id: error
attributes:
label: Error Output
description: Full error message or output (if any)
render: text
- type: dropdown
id: os
attributes:
label: Operating System
options:
- macOS
- Ubuntu/Linux
- Windows
- Other (please specify in additional context)
validations:
required: true
- type: input
id: python-version
attributes:
label: Python Version
description: Output of `python --version`
placeholder: "Python 3.11.5"
validations:
required: true
- type: input
id: aiclip-version
attributes:
label: aiclip Version
description: Output of `aiclip --version` or `pip show ai-ffmpeg-cli`
placeholder: "0.1.0"
validations:
required: true
- type: input
id: ffmpeg-version
attributes:
label: ffmpeg Version
description: Output of `ffmpeg -version` (first line)
placeholder: "ffmpeg version 4.4.2"
- type: textarea
id: additional
attributes:
label: Additional Context
description: Any other context, screenshots, or information that might help
placeholder: Add any other context about the problem here...

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name: ✨ Feature Request
description: Suggest a new feature or enhancement for aiclip
title: "[Feature] "
labels: ["enhancement", "needs-triage"]
body:
- type: markdown
attributes:
value: |
Thanks for suggesting a feature! We love hearing your ideas for making aiclip better.
- type: textarea
id: problem
attributes:
label: Problem or Use Case
description: What problem does this feature solve? What's your use case?
placeholder: "I'm trying to... but currently aiclip doesn't support..."
validations:
required: true
- type: textarea
id: solution
attributes:
label: Proposed Solution
description: How would you like this feature to work?
placeholder: "I would like aiclip to..."
validations:
required: true
- type: textarea
id: example
attributes:
label: Example Usage
description: Show how you'd use this feature
placeholder: |
aiclip "your example command here"
render: bash
- type: textarea
id: alternatives
attributes:
label: Alternatives Considered
description: What alternatives have you considered?
placeholder: "I could work around this by... but it would be better if..."
- type: dropdown
id: priority
attributes:
label: Priority
description: How important is this feature to you?
options:
- Nice to have
- Would be helpful
- Important for my workflow
- Critical/blocking
validations:
required: true
- type: checkboxes
id: contribution
attributes:
label: Contribution
options:
- label: I'm willing to help implement this feature
- label: I can help with testing
- label: I can help with documentation
- type: textarea
id: additional
attributes:
label: Additional Context
description: Any other context, mockups, or examples
placeholder: Add any other context or screenshots about the feature request here...

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# Pull Request
## Description
Briefly describe what this PR accomplishes and why it's needed.
Fixes # (issue number)
## Type of Change
Please delete options that are not relevant.
- [ ] 🐛 Bug fix (non-breaking change which fixes an issue)
- [ ] ✨ New feature (non-breaking change which adds functionality)
- [ ] 💥 Breaking change (fix or feature that would cause existing functionality to not work as expected)
- [ ] 📖 Documentation update
- [ ] 🔧 Refactoring (no functional changes, no api changes)
- [ ] ⚡ Performance improvement
- [ ] 🧪 Test improvement
## Changes Made
- List the key changes made in this PR
- Be specific about what was added/modified/removed
## Testing
- [ ] Tests pass locally (`make test`)
- [ ] Code is properly formatted (`make format`)
- [ ] Code passes linting (`make lint`)
- [ ] Added tests for new functionality (if applicable)
- [ ] Tested manually with demo commands (`make demo`)
### Manual Testing
Describe the manual testing you performed:
```bash
# Example commands you tested
aiclip "your test command here"
```
## Screenshots (if applicable)
Add screenshots or terminal output showing the changes in action.
## Checklist
- [ ] My code follows the project's style guidelines
- [ ] I have performed a self-review of my code
- [ ] I have commented my code, particularly in hard-to-understand areas
- [ ] I have made corresponding changes to the documentation
- [ ] My changes generate no new warnings
- [ ] I have added tests that prove my fix is effective or that my feature works
- [ ] New and existing unit tests pass locally with my changes
## Additional Notes
Add any additional information that reviewers should know about this PR.
## For Maintainers
- [ ] Update CHANGELOG.md if needed
- [ ] Consider if version bump is needed
- [ ] Review security implications
- [ ] Check performance impact

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name: CI/CD Pipeline
on:
push:
branches: [ main, develop ]
pull_request:
branches: [ main, develop ]
release:
types: [ published ]
jobs:
test:
name: Test Python ${{ matrix.python-version }} on ${{ matrix.os }}
runs-on: ${{ matrix.os }}
strategy:
matrix:
os: [ubuntu-latest, windows-latest, macos-latest]
python-version: ['3.10', '3.11', '3.12']
steps:
- uses: actions/checkout@v4
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
- name: Install ffmpeg
shell: bash
run: |
if [[ "${{ matrix.os }}" == "ubuntu-latest" ]]; then
sudo apt update && sudo apt install -y ffmpeg
elif [[ "${{ matrix.os }}" == "macos-latest" ]]; then
brew install ffmpeg
elif [[ "${{ matrix.os }}" == "windows-latest" ]]; then
choco install ffmpeg
fi
- name: Cache dependencies
uses: actions/cache@v3
with:
path: ~/.cache/pip
key: ${{ runner.os }}-pip-${{ hashFiles('pyproject.toml') }}
restore-keys: |
${{ runner.os }}-pip-
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install -e .[dev]
- name: Lint with ruff
run: |
ruff check src tests
ruff format --check src tests
- name: Type check with mypy
run: mypy src tests --install-types --non-interactive
- name: Test with pytest
run: pytest -v --cov=ai_ffmpeg_cli --cov-report=xml
- name: Upload coverage to Codecov
if: matrix.os == 'ubuntu-latest' && matrix.python-version == '3.11'
uses: codecov/codecov-action@v3
with:
token: ${{ secrets.CODECOV_TOKEN }}
file: ./coverage.xml
flags: unittests
name: codecov-umbrella
security:
name: Security Checks
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v4
with:
python-version: '3.11'
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install safety bandit[toml]
- name: Run safety check
run: safety check --json
- name: Run bandit security check
run: bandit -r src/ -f json
build:
name: Build Package
needs: [test, security]
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v4
with:
python-version: '3.11'
- name: Install build dependencies
run: |
python -m pip install --upgrade pip
pip install build twine
- name: Build package
run: python -m build
- name: Check package
run: twine check dist/*
- name: Upload build artifacts
uses: actions/upload-artifact@v3
with:
name: dist
path: dist/
publish:
name: Publish to PyPI
needs: [test, security, build]
runs-on: ubuntu-latest
if: github.event_name == 'release' && github.event.action == 'published'
steps:
- uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v4
with:
python-version: '3.11'
- name: Download build artifacts
uses: actions/download-artifact@v3
with:
name: dist
path: dist/
- name: Publish to PyPI
uses: pypa/gh-action-pypi-publish@release/v1
with:
password: ${{ secrets.PYPI_API_TOKEN }}
docker:
name: Build Docker Image
needs: [test, security]
runs-on: ubuntu-latest
if: github.ref == 'refs/heads/main'
steps:
- uses: actions/checkout@v4
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
- name: Login to GitHub Container Registry
uses: docker/login-action@v3
with:
registry: ghcr.io
username: ${{ github.actor }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Build and push Docker image
uses: docker/build-push-action@v5
with:
context: .
push: true
tags: |
ghcr.io/${{ github.repository }}:latest
ghcr.io/${{ github.repository }}:${{ github.sha }}
cache-from: type=gha
cache-to: type=gha,mode=max

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# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
pip-wheel-metadata/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
test-results/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
target/
# Jupyter Notebook
.ipynb_checkpoints
# IPython
profile_default/
ipython_config.py
# pyenv
.python-version
# pipenv
Pipfile.lock
# PEP 582
__pypackages__/
# Celery stuff
celerybeat-schedule
celerybeat.pid
# SageMath parsed files
*.sage.py
# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.dmypy.json
dmypy.json
# Pyre type checker
.pyre/
# pytype static type analyzer
.pytype/
# Cython debug symbols
cython_debug/
# IDEs and editors
.vscode/
.idea/
*.swp
*.swo
*~
# OS generated files
.DS_Store
.DS_Store?
._*
.Spotlight-V100
.Trashes
ehthumbs.db
Thumbs.db
# Project-specific files
*.mp4
*.mov
*.avi
*.mkv
*.webm
*.flv
*.wmv
*.m4v
*.3gp
*.mp3
*.wav
*.aac
*.m4a
*.flac
*.ogg
*.wma
*.png
*.jpg
*.jpeg
*.gif
*.bmp
*.tiff
*.svg
*.webp
# Temporary files
*.tmp
*.temp
*.bak
*.backup
# Logs
*.log
logs/
# Cache directories
.ruff_cache/
.mypy_cache/
.pytest_cache/
# Node.js (if using any JS tooling)
node_modules/
npm-debug.log*
yarn-debug.log*
yarn-error.log*
# Docker
Dockerfile.local
docker-compose.override.yml
# Secrets and configs
secrets.json
config.local.*
.secrets
.env.*
.envrc
!.env.example
# Database files
*.db
*.sqlite
*.sqlite3
# Backup files
*~
*.orig
# macOS
.AppleDouble
.LSOverride
Icon
.com.apple.timemachine.donotpresent
# Windows
desktop.ini
$RECYCLE.BIN/
*.cab
*.msi
*.msix
*.msm
*.msp
*.lnk
# Linux
*~
.fuse_hidden*
.directory
.Trash-*
.nfs*
# JetBrains IDEs
.idea/
*.iws
*.iml
*.ipr
# VS Code
.vscode/
*.code-workspace
# Sublime Text
*.sublime-project
*.sublime-workspace
# Vim
*.swp
*.swo
.vimrc.local
# Emacs
*~
\#*\#
/.emacs.desktop
/.emacs.desktop.lock
*.elc
auto-save-list
tramp
.\#*
# Tags
TAGS
tags
.tags
.tags1
gtags.files
GTAGS
GRTAGS
GSYMS

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# Changelog
All notable changes to aiclip will be documented in this file.
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
## [Unreleased]
### Added
- Upcoming features will be listed here
### Changed
- Upcoming changes will be listed here
### Fixed
- Upcoming fixes will be listed here
## [0.1.0] - 2024-01-XX
### Added
- 🎬 Initial release of aiclip
- 🤖 AI-powered natural language to ffmpeg command translation
- 🔒 Safety-first approach with command preview before execution
- ⚡ Support for common video operations:
- Video format conversion (mov, mp4, etc.)
- Video scaling and resolution changes
- Video compression with quality control
- Audio extraction and removal
- Video trimming and segmentation
- Thumbnail and frame extraction
- Video overlay and watermarking
- Batch processing with glob patterns
### Features
- Interactive CLI mode for iterative workflows
- One-shot command execution for automation
- Smart defaults for codecs and quality settings
- Context scanning for automatic file detection
- Comprehensive error handling with helpful messages
- Overwrite protection for existing files
- Rich terminal output with formatted tables
- Configurable AI models (GPT-4o, GPT-4o-mini)
- Environment-based configuration
- Dry-run mode for command preview
- Verbose logging for debugging
### Technical
- Python 3.10+ support
- Built with Typer for CLI framework
- OpenAI GPT integration for natural language processing
- Pydantic for robust data validation
- Rich for beautiful terminal output
- Comprehensive test suite with pytest
- Code quality tools (ruff, mypy)
- Docker support
- GitHub Actions CI/CD pipeline
### Documentation
- Comprehensive README with examples
- API documentation
- Contributing guidelines
- Development setup instructions
---
## Release Notes Template
When preparing a new release, copy this template:
### [X.Y.Z] - YYYY-MM-DD
#### Added
- New features
#### Changed
- Changes in existing functionality
#### Deprecated
- Soon-to-be removed features
#### Removed
- Now removed features
#### Fixed
- Bug fixes
#### Security
- Vulnerability fixes

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# Contributing to aiclip
Thank you for your interest in contributing to aiclip! 🎉
We welcome contributions of all kinds:
- 🐛 Bug reports and fixes
- ✨ New features and enhancements
- 📖 Documentation improvements
- 🧪 Tests and quality improvements
- 💡 Ideas and suggestions
## Quick Start
1. **Fork & Clone**
```bash
git clone https://github.com/yourusername/ai-ffmpeg-cli.git
cd ai-ffmpeg-cli
```
2. **Setup Development Environment**
```bash
make setup
source .venv/bin/activate
```
3. **Run Tests**
```bash
make test
make lint
```
4. **Make Changes & Test**
```bash
# Make your changes
make test # Ensure tests pass
make format # Format code
make demo # Test functionality
```
5. **Submit Pull Request**
- Create a feature branch
- Make your changes with tests
- Update documentation if needed
- Submit PR with clear description
## Development Workflow
### Testing
```bash
make test # Run all tests
make test-cov # Run with coverage
make demo # Manual testing
```
### Code Quality
```bash
make lint # Check code quality
make format # Auto-format code
make security # Security checks
```
### Before Submitting
```bash
make pre-commit # Run all checks
```
## Contribution Guidelines
### Bug Reports
Please include:
- Clear description of the issue
- Steps to reproduce
- Expected vs actual behavior
- Your environment (OS, Python version, ffmpeg version)
- Example command that fails
### Feature Requests
- Describe the use case
- Explain why it would be valuable
- Provide example usage if possible
### Code Contributions
- Follow existing code style
- Add tests for new functionality
- Update documentation
- Keep commits focused and descriptive
## Code Style
We use:
- **ruff** for linting and formatting
- **mypy** for type checking
- **pytest** for testing
Run `make format` to auto-format your code.
## Questions?
- 💬 **Discussions**: Use GitHub Discussions for questions
- 🐛 **Issues**: Use GitHub Issues for bugs
- 📧 **Email**: Contact maintainers directly for sensitive issues
Thank you for contributing! 🚀

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# Multi-stage Docker build for aiclip
FROM python:3.11-slim as builder
# Install system dependencies
RUN apt-get update && apt-get install -y \
gcc \
g++ \
&& rm -rf /var/lib/apt/lists/*
# Install Python dependencies
WORKDIR /app
COPY pyproject.toml ./
RUN pip install --no-cache-dir build && \
python -m build --wheel && \
pip wheel --no-cache-dir --wheel-dir /app/wheels .
# Production stage
FROM python:3.11-slim
# Install ffmpeg and runtime dependencies
RUN apt-get update && apt-get install -y \
ffmpeg \
&& rm -rf /var/lib/apt/lists/*
# Create non-root user
RUN useradd --create-home --shell /bin/bash aiclip
# Copy wheels and install
COPY --from=builder /app/wheels /tmp/wheels
RUN pip install --no-cache-dir /tmp/wheels/*.whl && \
rm -rf /tmp/wheels
# Switch to non-root user
USER aiclip
WORKDIR /home/aiclip
# Set environment variables
ENV PYTHONUNBUFFERED=1
ENV PYTHONDONTWRITEBYTECODE=1
# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
CMD aiclip --help || exit 1
# Default command
ENTRYPOINT ["aiclip"]
CMD ["--help"]

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MIT License
Copyright (c) 2025
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.

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# aiclip - AI-powered ffmpeg CLI
# Development and deployment automation
PYTHON?=python3
VENV?=.venv
PIP=$(VENV)/bin/pip
PY=$(VENV)/bin/python
PYTEST=$(VENV)/bin/pytest
AICLIP=$(VENV)/bin/aiclip
RUFF=$(VENV)/bin/ruff
MYPY=$(VENV)/bin/mypy
SAFETY=$(VENV)/bin/safety
BANDIT=$(VENV)/bin/bandit
TWINE=$(VENV)/bin/twine
BUILD=$(VENV)/bin/python -m build
# Colors for output
GREEN=\033[0;32m
YELLOW=\033[1;33m
RED=\033[0;31m
NC=\033[0m # No Color
.PHONY: help setup install test lint format clean run demo build publish release docker docs
# Default target
help:
@echo "$(GREEN)aiclip - Development Commands$(NC)"
@echo
@echo "$(YELLOW)Setup & Installation:$(NC)"
@echo " setup - Create virtual environment and install dependencies"
@echo " install - Install package in development mode"
@echo " clean - Remove build artifacts and cache files"
@echo
@echo "$(YELLOW)Development:$(NC)"
@echo " test - Run test suite with pytest"
@echo " lint - Check code quality with ruff"
@echo " format - Format code with ruff"
@echo " run - Run aiclip with arguments (use ARGS=)"
@echo " demo - Run demonstration commands"
@echo
@echo "$(YELLOW)Release & Publishing:$(NC)"
@echo " build - Build distribution packages"
@echo " publish - Upload to PyPI (production)"
@echo " test-pub - Upload to TestPyPI (testing)"
@echo " release - Full release workflow (test + tag + publish)"
@echo
@echo "$(YELLOW)Other:$(NC)"
@echo " docs - Generate and serve documentation"
@echo " docker - Build Docker image"
@echo " security - Run security checks"
@echo
@echo "$(YELLOW)Examples:$(NC)"
@echo " make run ARGS='\"convert video.mp4 to 720p\"'"
@echo " make test"
@echo " make release VERSION=0.2.0"
# Setup and Installation
setup:
@echo "$(GREEN)Setting up development environment...$(NC)"
$(PYTHON) -m venv $(VENV)
$(PIP) install -U pip setuptools wheel
$(PIP) install -e .[dev]
@echo "$(GREEN)Setup complete! Run 'source $(VENV)/bin/activate' to activate.$(NC)"
install: setup
# Testing and Quality
test:
@echo "$(GREEN)Running test suite...$(NC)"
$(PYTEST) -v --tb=short
test-cov:
@echo "$(GREEN)Running tests with coverage...$(NC)"
$(PYTEST) -v --cov=ai_ffmpeg_cli --cov-report=html --cov-report=term
lint:
@echo "$(GREEN)Checking code quality...$(NC)"
@test -f $(RUFF) || $(PIP) install ruff
$(RUFF) check src tests
@echo "$(GREEN)Code quality check complete!$(NC)"
format:
@echo "$(GREEN)Formatting code...$(NC)"
@test -f $(RUFF) || $(PIP) install ruff
$(RUFF) format src tests
$(RUFF) check --fix src tests
@echo "$(GREEN)Code formatting complete!$(NC)"
security:
@echo "$(GREEN)Running security checks...$(NC)"
@test -f $(SAFETY) || $(PIP) install safety
@test -f $(BANDIT) || $(PIP) install bandit
$(SAFETY) check
$(BANDIT) -r src/
@echo "$(GREEN)Security checks complete!$(NC)"
# Development & Demo
run:
@echo "$(GREEN)Running aiclip...$(NC)"
$(AICLIP) $(ARGS)
demo:
@echo "$(GREEN)Running aiclip demonstrations...$(NC)"
@echo "$(YELLOW)Demo 1: Convert formats$(NC)"
$(AICLIP) --dry-run --verbose "convert sample.mov to mp4 h264+aac" || true
@echo
@echo "$(YELLOW)Demo 2: Extract audio$(NC)"
$(AICLIP) --dry-run --verbose "extract audio from demo.mp4 to mp3" || true
@echo
@echo "$(YELLOW)Demo 3: Trim video$(NC)"
$(AICLIP) --dry-run --verbose "trim first 30 seconds from input.mp4" || true
@echo
@echo "$(YELLOW)Demo 4: Create thumbnail$(NC)"
$(AICLIP) --dry-run --verbose "thumbnail at 10 seconds from input.mp4" || true
@echo
@echo "$(YELLOW)Demo 5: Compress video$(NC)"
$(AICLIP) --dry-run --verbose "compress large-video.mp4 smaller" || true
@echo
@echo "$(GREEN)Demo complete! Remove --dry-run to execute commands.$(NC)"
interactive:
@echo "$(GREEN)Starting interactive mode...$(NC)"
$(AICLIP)
# Build and Publishing
clean:
@echo "$(GREEN)Cleaning build artifacts...$(NC)"
rm -rf dist/ build/ *.egg-info/
rm -rf .pytest_cache/ .ruff_cache/ __pycache__/
find . -type d -name __pycache__ -exec rm -rf {} + 2>/dev/null || true
find . -type f -name "*.pyc" -delete
@echo "$(GREEN)Clean complete!$(NC)"
build: clean
@echo "$(GREEN)Building distribution packages...$(NC)"
$(PIP) install --upgrade build
$(BUILD)
@echo "$(GREEN)Build complete! Check dist/ directory.$(NC)"
test-pub: build
@echo "$(GREEN)Publishing to TestPyPI...$(NC)"
$(PIP) install --upgrade twine
$(TWINE) upload --repository testpypi dist/*
@echo "$(GREEN)Published to TestPyPI!$(NC)"
@echo "Test with: pip install -i https://test.pypi.org/simple/ ai-ffmpeg-cli"
publish: build
@echo "$(YELLOW)Publishing to PyPI (PRODUCTION)...$(NC)"
@echo "$(RED)This will publish to the real PyPI! Press Enter to continue or Ctrl+C to cancel.$(NC)"
@read
$(PIP) install --upgrade twine
$(TWINE) upload dist/*
@echo "$(GREEN)Published to PyPI! 🎉$(NC)"
# Version management
version-check:
@echo "Current version: $$(grep '^version' pyproject.toml | cut -d'"' -f2)"
version-bump:
@if [ -z "$(VERSION)" ]; then \
echo "$(RED)Please specify VERSION. Example: make version-bump VERSION=0.2.0$(NC)"; \
exit 1; \
fi
@echo "$(GREEN)Bumping version to $(VERSION)...$(NC)"
sed -i.bak 's/^version = .*/version = "$(VERSION)"/' pyproject.toml
rm -f pyproject.toml.bak
@echo "$(GREEN)Version updated to $(VERSION)$(NC)"
# Complete release workflow
release: version-check
@if [ -z "$(VERSION)" ]; then \
echo "$(RED)Please specify VERSION. Example: make release VERSION=0.2.0$(NC)"; \
exit 1; \
fi
@echo "$(GREEN)Starting release workflow for version $(VERSION)...$(NC)"
# Run tests first
@echo "$(YELLOW)Step 1: Running tests...$(NC)"
make test
# Update version
@echo "$(YELLOW)Step 2: Updating version...$(NC)"
make version-bump VERSION=$(VERSION)
# Build and test publish
@echo "$(YELLOW)Step 3: Building and testing...$(NC)"
make test-pub
# Git operations
@echo "$(YELLOW)Step 4: Creating git tag...$(NC)"
git add pyproject.toml
git commit -m "Bump version to $(VERSION)" || true
git tag -a v$(VERSION) -m "Release version $(VERSION)"
# Final publish
@echo "$(YELLOW)Step 5: Publishing to PyPI...$(NC)"
make publish
# Push to git
@echo "$(YELLOW)Step 6: Pushing to git...$(NC)"
git push origin main
git push origin v$(VERSION)
@echo "$(GREEN)Release $(VERSION) complete! 🚀$(NC)"
# Documentation
docs:
@echo "$(GREEN)Generating documentation...$(NC)"
$(PIP) install mkdocs mkdocs-material
mkdocs serve
@echo "$(GREEN)Documentation served at http://127.0.0.1:8000$(NC)"
# Docker
docker:
@echo "$(GREEN)Building Docker image...$(NC)"
docker build -t aiclip:latest .
@echo "$(GREEN)Docker image built! Run with: docker run -it aiclip:latest$(NC)"
# CI/CD helpers
ci-test: setup test lint security
@echo "$(GREEN)CI pipeline complete!$(NC)"
pre-commit: format lint test
@echo "$(GREEN)Pre-commit checks complete!$(NC)"
# Installation verification
verify-install:
@echo "$(GREEN)Verifying installation...$(NC)"
$(AICLIP) --version
$(AICLIP) --help | head -10
@echo "$(GREEN)Installation verified!$(NC)"
# Development utilities
deps-update:
@echo "$(GREEN)Updating dependencies...$(NC)"
$(PIP) install -U pip setuptools wheel
$(PIP) install -U -e .[dev]
deps-list:
@echo "$(GREEN)Installed dependencies:$(NC)"
$(PIP) list
# Quick commands
check: lint test
@echo "$(GREEN)All checks passed!$(NC)"
dev: setup demo
@echo "$(GREEN)Development environment ready!$(NC)"
all: clean setup test lint build
@echo "$(GREEN)Full pipeline complete!$(NC)"

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# 🎬 aiclip
[![PyPI version](https://badge.fury.io/py/ai-ffmpeg-cli.svg)](https://badge.fury.io/py/ai-ffmpeg-cli)
[![Python 3.10+](https://img.shields.io/badge/python-3.10+-blue.svg)](https://www.python.org/downloads/)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Downloads](https://pepy.tech/badge/ai-ffmpeg-cli)](https://pepy.tech/project/ai-ffmpeg-cli)
> **Stop Googling ffmpeg commands. Just describe what you want.**
**aiclip** is an AI-powered CLI that translates natural language into safe, previewable `ffmpeg` commands. Built for developers, content creators, and anyone who works with media files but doesn't want to memorize complex syntax.
## ✨ Why aiclip?
- 🤖 **AI-Native**: Translate plain English to perfect ffmpeg commands
- 🔒 **Safety First**: Preview every command before execution
-**10x Faster**: Skip the documentation, Stack Overflow, and trial-and-error
- 🎯 **Battle-Tested**: Generates reliable, production-ready commands
- 🔄 **Smart Defaults**: Sensible codec and quality settings out of the box
```bash
# Instead of this...
ffmpeg -i input.mp4 -vf "scale=1280:720" -c:v libx264 -c:a aac -b:v 2000k output.mp4
# Just say this...
aiclip "convert input.mp4 to 720p with good quality"
```
## 🚀 Quick Start
### Installation
```bash
# Install from PyPI
pip install ai-ffmpeg-cli
# Or with Homebrew (coming soon)
brew install aiclip
```
### Setup
```bash
# Set your OpenAI API key
export OPENAI_API_KEY="sk-your-key-here"
# Or create a .env file
echo "OPENAI_API_KEY=sk-your-key-here" > .env
```
### First Command
```bash
# Interactive mode - just describe what you want
aiclip
> convert this video to 720p
┌───┬──────────────────────────────────────────────────────────┐
# │ Command │
├───┼──────────────────────────────────────────────────────────┤
1 │ ffmpeg -i input.mp4 -vf scale=1280:720 -c:v libx264... │
└───┴──────────────────────────────────────────────────────────┘
Run these commands? [Y/n]
```
## 📖 Usage Examples
### Video Processing
```bash
# Convert formats
aiclip "convert input.mov to mp4 with h264 and aac"
# Resize videos
aiclip "downscale video.mp4 to 720p"
aiclip "make input.mp4 1080p resolution"
# Compress files
aiclip "compress large-video.mp4 to smaller size"
aiclip "reduce file size with CRF 23"
```
### Audio Operations
```bash
# Extract audio
aiclip "extract audio from movie.mp4 to mp3"
aiclip "get audio track from video as wav"
# Remove audio
aiclip "remove audio from video.mp4"
```
### Trimming & Cutting
```bash
# Time-based cutting
aiclip "trim first 30 seconds from video.mp4"
aiclip "keep segment from 2:15 to 3:45 in input.mp4"
aiclip "cut out middle 5 minutes"
```
### Image Extraction
```bash
# Thumbnails
aiclip "create thumbnail at 10 seconds from video.mp4"
aiclip "extract frame at 2:30 as PNG"
# Frame sequences
aiclip "extract one frame every 5 seconds"
aiclip "get all frames from video as images"
```
### Advanced Operations
```bash
# Overlays
aiclip "add watermark logo.png to top-right of video.mp4"
aiclip "overlay text on video at position 10:10"
# Batch processing
aiclip "convert all .mov files to .mp4"
```
## 🎛️ Command Line Options
```bash
# One-shot mode (no interaction)
aiclip "your command here"
# Skip confirmation prompts
aiclip --yes "convert video.mp4 to 720p"
# Preview only (don't execute)
aiclip --dry-run "compress input.mp4"
# Use different AI model
aiclip --model gpt-4o-mini "extract audio"
# Increase timeout for complex requests
aiclip --timeout 120 "complex processing task"
# Verbose logging for troubleshooting
aiclip --verbose "your command"
```
## 🔧 Configuration
aiclip uses environment variables and `.env` files for configuration:
```bash
# Required
OPENAI_API_KEY=sk-your-openai-api-key
# Optional
AICLIP_MODEL=gpt-4o # AI model to use
AICLIP_DRY_RUN=false # Preview commands by default
```
## 🎯 Smart Defaults & Safety
- **Preview First**: Every command is shown before execution
- **Overwrite Protection**: Warns before overwriting existing files
- **Sensible Codecs**: Automatically chooses h264+aac for MP4, libx265 for compression
- **Stream Copy**: Uses `-c copy` for trimming when possible (faster, lossless)
- **Context Aware**: Scans your directory to suggest input files and durations
## 📊 Supported Operations
| Operation | Examples | ffmpeg Equivalent |
|-----------|----------|-------------------|
| **Convert** | "convert to mp4", "make it h264" | `-c:v libx264 -c:a aac` |
| **Resize** | "720p", "1920x1080", "scale to 50%" | `-vf scale=1280:720` |
| **Compress** | "make smaller", "CRF 28" | `-c:v libx265 -crf 28` |
| **Extract Audio** | "get audio as mp3" | `-q:a 0 -map a` |
| **Trim** | "first 30 seconds", "2:15 to 3:45" | `-ss 00:02:15 -to 00:03:45` |
| **Thumbnail** | "frame at 10s" | `-ss 00:00:10 -vframes 1` |
| **Overlay** | "watermark top-right" | `-filter_complex overlay=W-w-10:10` |
| **Batch** | "all *.mov files" | Shell loops with glob patterns |
## 🛠️ Development
```bash
# Clone and setup
git clone https://github.com/yourusername/ai-ffmpeg-cli.git
cd ai-ffmpeg-cli
make setup
# Run tests
make test
# Check code quality
make lint
# Try demo commands
make demo
```
## 📋 Requirements
- **Python 3.10+** (uses modern type hints)
- **ffmpeg** installed and available in PATH
- macOS: `brew install ffmpeg`
- Ubuntu: `sudo apt install ffmpeg`
- Windows: Download from [ffmpeg.org](https://ffmpeg.org/)
- **OpenAI API key** for natural language processing
## 🆘 Troubleshooting
### Common Issues
**"OPENAI_API_KEY is required"**
```bash
# Set your API key
export OPENAI_API_KEY="sk-your-key-here"
# Or add it to .env file
```
**"ffmpeg not found in PATH"**
```bash
# Install ffmpeg
brew install ffmpeg # macOS
sudo apt install ffmpeg # Ubuntu
# Windows: download from ffmpeg.org
```
**"Failed to parse natural language prompt"**
- Try being more specific in your request
- Use `--model gpt-4o` for better accuracy
- Increase timeout with `--timeout 120`
- Check your internet connection
**"No input files found"**
- Ensure files exist in current directory
- Check file extensions match your request
- Use `ls` to verify available files
### Getting Help
- 📖 **Documentation**: Full guides at [docs link]
- 💬 **Discord**: Join our community for real-time help
- 🐛 **Issues**: Report bugs on [GitHub Issues](https://github.com/yourusername/ai-ffmpeg-cli/issues)
- 💡 **Discussions**: Feature requests and Q&A on [GitHub Discussions](https://github.com/yourusername/ai-ffmpeg-cli/discussions)
## 🤝 Contributing
We love contributions! Whether it's:
- 🐛 **Bug reports** and feature requests
- 📖 **Documentation** improvements
- 🧪 **Test cases** for edge scenarios
- 💻 **Code contributions** for new features
- 🎨 **Examples** and tutorials
See our [Contributing Guide](CONTRIBUTING.md) to get started.
## 📈 What's Next?
- 🔄 **Batch Templates**: Save and reuse complex workflows
- 🎛️ **GUI Mode**: Visual interface for non-CLI users
-**Local Models**: Run without internet using local AI
- 🏢 **Team Features**: Shared commands and analytics
- 🔌 **Integrations**: GitHub Actions, Docker, CI/CD pipelines
## 📄 License
MIT License - see [LICENSE](LICENSE) file for details.
## ⭐ Support
If aiclip saves you time, please:
-**Star** this repository
- 🐦 **Share** on social media
- 📝 **Write** a review or blog post
- 💬 **Tell** your developer friends
---
<p align="center">
<strong>Made with ❤️ by developers who got tired of Googling ffmpeg commands</strong><br>
<sub>🎬 Turn your words into perfect video commands</sub>
</p>

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pyproject.toml Normal file
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[build-system]
requires = ["hatchling>=1.18.0"]
build-backend = "hatchling.build"
[project]
name = "ai-ffmpeg-cli"
version = "0.1.0"
description = "AI-powered CLI that translates natural language to safe ffmpeg commands"
readme = "README.md"
license = { file = "LICENSE" }
requires-python = ">=3.10"
authors = [
{ name = "aiclip", email = "hello@aiclip.dev" }
]
maintainers = [
{ name = "aiclip", email = "hello@aiclip.dev" }
]
keywords = [
"ffmpeg",
"video",
"audio",
"cli",
"ai",
"natural-language",
"media-processing",
"conversion",
"automation"
]
classifiers = [
"Development Status :: 4 - Beta",
"Environment :: Console",
"Intended Audience :: Developers",
"Intended Audience :: End Users/Desktop",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3 :: Only",
"Topic :: Multimedia :: Video",
"Topic :: Multimedia :: Video :: Conversion",
"Topic :: Software Development :: Libraries :: Python Modules",
"Topic :: System :: System Shells",
"Topic :: Utilities"
]
dependencies = [
"typer[all]>=0.9.0",
"rich>=13.0.0",
"openai>=1.37.0",
"python-dotenv>=1.0.0",
"pydantic>=2.0.0",
"typing-extensions>=4.8.0"
]
[project.optional-dependencies]
dev = [
"pytest>=7.0.0",
"pytest-mock>=3.10.0",
"pytest-cov>=6.0.0",
"ruff>=0.5.0",
"mypy>=1.5.0",
"pre-commit>=3.0.0"
]
test = [
"pytest>=7.0.0",
"pytest-mock>=3.10.0",
"pytest-cov>=4.0.0"
]
docs = [
"mkdocs>=1.5.0",
"mkdocs-material>=9.0.0",
"mkdocs-mermaid2-plugin>=1.0.0"
]
all = [
"ai-ffmpeg-cli[dev,docs]"
]
[project.urls]
"Homepage" = "https://github.com/aiclip/ai-ffmpeg-cli"
"Documentation" = "https://aiclip.dev/docs"
"Repository" = "https://github.com/aiclip/ai-ffmpeg-cli"
"Bug Tracker" = "https://github.com/aiclip/ai-ffmpeg-cli/issues"
"Discussions" = "https://github.com/aiclip/ai-ffmpeg-cli/discussions"
"Changelog" = "https://github.com/aiclip/ai-ffmpeg-cli/releases"
"Funding" = "https://github.com/sponsors/aiclip"
[project.scripts]
aiclip = "ai_ffmpeg_cli.main:app"
[tool.hatch.build.targets.wheel]
packages = ["src/ai_ffmpeg_cli"]
[tool.hatch.build.targets.sdist]
include = [
"src/",
"tests/",
"README.md",
"LICENSE",
"pyproject.toml"
]
# Ruff configuration
[tool.ruff]
line-length = 100
target-version = "py310"
src = ["src", "tests"]
[tool.ruff.lint]
select = [
"E", # pycodestyle errors
"W", # pycodestyle warnings
"F", # pyflakes
"I", # isort
"B", # flake8-bugbear
"C4", # flake8-comprehensions
"UP", # pyupgrade
"ARG", # flake8-unused-arguments
"SIM", # flake8-simplify
"TCH", # flake8-type-checking
]
ignore = [
"E501", # line too long (handled by formatter)
"B008", # do not perform function calls in argument defaults
"B006", # do not use mutable data structures for argument defaults
]
[tool.ruff.lint.per-file-ignores]
"tests/**/*" = [
"ARG", # unused function arguments in tests
"S101", # use of assert detected
]
[tool.ruff.lint.isort]
force-single-line = true
known-first-party = ["ai_ffmpeg_cli"]
# MyPy configuration
[tool.mypy]
python_version = "3.10"
warn_return_any = true
warn_unused_configs = true
disallow_untyped_defs = true
disallow_incomplete_defs = true
check_untyped_defs = true
disallow_untyped_decorators = true
no_implicit_optional = true
warn_redundant_casts = true
warn_unused_ignores = true
warn_no_return = true
warn_unreachable = true
strict_equality = true
show_error_codes = true
[[tool.mypy.overrides]]
module = "tests.*"
disallow_untyped_defs = false
# Pytest configuration
[tool.pytest.ini_options]
minversion = "7.0"
testpaths = ["tests"]
python_files = ["test_*.py", "*_test.py"]
python_classes = ["Test*"]
python_functions = ["test_*"]
addopts = [
"-ra",
"--strict-markers",
"--strict-config",
"--tb=short"
]
markers = [
"slow: marks tests as slow (deselect with '-m \"not slow\"')",
"integration: marks tests as integration tests",
"unit: marks tests as unit tests"
]
# Coverage configuration
[tool.coverage.run]
source = ["src"]
branch = true
omit = [
"tests/*",
"src/ai_ffmpeg_cli/__init__.py"
]
[tool.coverage.report]
exclude_lines = [
"pragma: no cover",
"def __repr__",
"if self.debug:",
"if settings.DEBUG",
"raise AssertionError",
"raise NotImplementedError",
"if 0:",
"if __name__ == .__main__.:"
]
show_missing = true
precision = 2
[tool.coverage.html]
directory = "htmlcov"

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@@ -0,0 +1,3 @@
from .version import __version__
__all__ = ["__version__"]

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@@ -0,0 +1,93 @@
from __future__ import annotations
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from .nl_schema import CommandPlan
def build_commands(plan: CommandPlan, assume_yes: bool = False) -> list[list[str]]:
commands: list[list[str]] = []
for entry in plan.entries:
cmd: list[str] = ["ffmpeg"]
if assume_yes:
cmd.append("-y")
# Some actions prefer -ss before -i for copy, but we construct here based on args
# We assume args already contain any pre-input flags such as -ss when copying
pre_input_flags: list[str] = []
post_input_flags: list[str] = []
# Split args into pre/post by presence of -ss/-t/-to which are often pre-input
# Keep order stable otherwise
for i in range(0, len(entry.args), 2):
flag = entry.args[i]
val = entry.args[i + 1] if i + 1 < len(entry.args) else None
bucket = (
pre_input_flags if flag in {"-ss", "-t", "-to"} else post_input_flags
)
bucket.append(flag)
if val is not None:
bucket.append(val)
cmd.extend(pre_input_flags)
cmd.extend(["-i", str(entry.input)])
for extra in entry.extra_inputs:
cmd.extend(["-i", str(extra)])
# Defaults and action-specific handling
if plan.entries and plan.entries[0].args is entry.args:
pass
# Action-specific default codecs/filters
# We infer action by plan summary keywords; better would be to carry action per entry.
# Rely on presence of typical flags and file extensions.
# Safer approach: detect based on output extension and flags included by router.
# Apply broad defaults below.
if "-vframes" in entry.args:
# thumbnail
pass
# If overlay is intended, builder must add filter_complex
if "overlay=" in " ".join(entry.args):
pass
# For compression, ensure codec flag precedes CRF (from args)
summary = plan.summary.lower()
existing_args_str = " ".join(entry.args)
if "compress" in summary and "-c:v" not in existing_args_str:
cmd.extend(["-c:v", "libx265"])
# Add post-input flags from the plan entry
cmd.extend(post_input_flags)
# Apply defaults based on summary heuristics, avoiding duplicates
if "convert" in summary:
if "-c:v" not in existing_args_str:
cmd.extend(["-c:v", "libx264"])
if "-c:a" not in existing_args_str:
cmd.extend(["-c:a", "aac"])
if "compress" in summary and "-crf" not in existing_args_str:
cmd.extend(["-crf", "28"])
if "frames" in summary and "fps=" not in existing_args_str:
# default fps = 1/5
cmd.extend(["-vf", "fps=1/5"])
if "overlay" in summary and "-filter_complex" not in entry.args:
# default top-right overlay with 10px margins
cmd.extend(["-filter_complex", "overlay=W-w-10:10"])
if "thumbnail" in summary and "-vframes" not in entry.args:
cmd.extend(["-vframes", "1"])
# Trim/segment: if only timing flags and no explicit codecs/filters, use copy
if ("trim" in summary or "segment" in summary) and not any(
token in existing_args_str
for token in ["-c:v", "-c:a", "-filter", "-vf", "-af"]
):
cmd.extend(["-c", "copy"])
cmd.append(str(entry.output))
commands.append(cmd)
return commands

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from __future__ import annotations
import os
import shutil
from dotenv import load_dotenv
from pydantic import BaseModel
from pydantic import Field
from pydantic import ValidationError
from .errors import ConfigError
class AppConfig(BaseModel):
"""Runtime configuration loaded from environment variables.
Attributes
----------
openai_api_key: Optional[str]
API key for OpenAI provider. Optional at import time, but validated
when the provider is used.
model: str
Model name to use for parsing intents.
dry_run: bool
If True, only preview commands and do not execute.
confirm_default: bool
Default value for confirmation prompts (True means default Yes).
timeout_seconds: int
Timeout in seconds for LLM parsing requests.
"""
openai_api_key: str | None = Field(default=None)
model: str = Field(default_factory=lambda: os.getenv("AICLIP_MODEL", "gpt-4o"))
dry_run: bool = Field(
default_factory=lambda: os.getenv("AICLIP_DRY_RUN", "false").lower() in ("1", "true", "yes")
)
confirm_default: bool = Field(default=True)
timeout_seconds: int = Field(default=60)
def validate_ffmpeg_available(self) -> None:
if shutil.which("ffmpeg") is None:
raise ConfigError(
"ffmpeg not found in PATH. Please install ffmpeg (e.g., brew install ffmpeg) and retry."
)
def load_config() -> AppConfig:
"""Load configuration from environment variables and validate environment.
Returns
-------
AppConfig
Parsed configuration instance.
"""
load_dotenv(override=False)
try:
config = AppConfig(openai_api_key=os.getenv("OPENAI_API_KEY"))
except ValidationError as exc:
raise ConfigError(
f"Configuration validation failed: {exc}. "
f"Please check your environment variables and .env file format. "
f"Required: OPENAI_API_KEY. Optional: AICLIP_MODEL, AICLIP_DRY_RUN."
) from exc
# ffmpeg required for runtime usage; validate here when CLI starts
config.validate_ffmpeg_available()
return config

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from __future__ import annotations
def confirm_prompt(question: str, default_yes: bool = True, assume_yes: bool = False) -> bool:
if assume_yes:
return True
default = "Y/n" if default_yes else "y/N"
try:
resp = input(f"{question} [{default}] ").strip().lower()
except EOFError:
return default_yes
if not resp:
return default_yes
return resp in {"y", "yes"}

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from __future__ import annotations
import json
import shutil
import subprocess
from pathlib import Path
from .io_utils import most_recent_file
MEDIA_EXTS = {
"video": {".mp4", ".mov", ".mkv", ".webm", ".avi"},
"audio": {".mp3", ".aac", ".wav", ".m4a", ".flac"},
"image": {".png", ".jpg", ".jpeg"},
}
def _ffprobe_duration(path: Path) -> float | None:
if shutil.which("ffprobe") is None:
return None
try:
result = subprocess.run(
[
"ffprobe",
"-v",
"error",
"-show_entries",
"format=duration",
"-of",
"json",
str(path),
],
capture_output=True,
check=True,
text=True,
)
data = json.loads(result.stdout)
dur = data.get("format", {}).get("duration")
return float(dur) if dur is not None else None
except Exception:
return None
def scan(cwd: Path | None = None) -> dict[str, object]:
base = cwd or Path.cwd()
files: list[Path] = [p for p in base.iterdir() if p.is_file()]
videos = [p for p in files if p.suffix.lower() in MEDIA_EXTS["video"]]
audios = [p for p in files if p.suffix.lower() in MEDIA_EXTS["audio"]]
images = [p for p in files if p.suffix.lower() in MEDIA_EXTS["image"]]
most_recent_video = most_recent_file(videos)
info = []
for p in videos + audios:
info.append(
{
"path": str(p),
"size": p.stat().st_size if p.exists() else None,
"duration": _ffprobe_duration(p),
}
)
return {
"cwd": str(base),
"videos": [str(p) for p in videos],
"audios": [str(p) for p in audios],
"images": [str(p) for p in images],
"most_recent_video": str(most_recent_video) if most_recent_video else None,
"info": info,
}

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class ConfigError(Exception):
"""Raised when configuration or environment validation fails."""
class ParseError(Exception):
"""Raised when the LLM fails to produce a valid intent."""
class BuildError(Exception):
"""Raised when an intent cannot be routed or converted into commands."""
class ExecError(Exception):
"""Raised when command execution fails."""

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from __future__ import annotations
import logging
import subprocess
from pathlib import Path
from rich.console import Console
from rich.table import Table
from .confirm import confirm_prompt
from .errors import ExecError
logger = logging.getLogger(__name__)
def _format_command(cmd: list[str]) -> str:
return " ".join(cmd)
def _extract_output_path(cmd: list[str]) -> Path | None:
"""Extract the output file path from an ffmpeg command."""
if len(cmd) < 2:
return None
# Output file is typically the last argument in ffmpeg commands
return Path(cmd[-1])
def _check_overwrite_protection(commands: list[list[str]], assume_yes: bool = False) -> bool:
"""Check for existing output files and prompt for overwrite confirmation."""
existing_files = []
for cmd in commands:
output_path = _extract_output_path(cmd)
if output_path and output_path.exists():
existing_files.append(output_path)
if not existing_files:
return True # No conflicts, proceed
if assume_yes:
return True # Skip confirmation
# Show which files would be overwritten
console = Console()
console.print(
"\n[yellow]Warning: The following files already exist and will be overwritten:[/yellow]"
)
for file_path in existing_files:
console.print(f"{file_path}")
console.print()
return confirm_prompt(
"Continue and overwrite these files?", default_yes=False, assume_yes=assume_yes
)
def preview(commands: list[list[str]]) -> None:
console = Console()
table = Table(title="Planned ffmpeg Commands")
table.add_column("#", justify="right")
table.add_column("Command", overflow="fold")
for idx, cmd in enumerate(commands, start=1):
table.add_row(str(idx), _format_command(cmd))
console.print(table)
def run(
commands: list[list[str]],
confirm: bool,
dry_run: bool,
show_preview: bool = True,
assume_yes: bool = False,
) -> int:
if show_preview:
preview(commands)
if dry_run:
return 0
if not confirm:
return 0
# Check for overwrite conflicts before execution
if not _check_overwrite_protection(commands, assume_yes):
logger.info("Operation cancelled by user due to file conflicts")
return 1
for cmd in commands:
try:
result = subprocess.run(cmd, check=True)
if result.returncode != 0:
raise ExecError(
f"ffmpeg command failed with exit code {result.returncode}. "
f"Common causes: (1) input file not found or corrupted, "
f"(2) invalid output format or codec, "
f"(3) insufficient disk space, "
f"(4) permission issues. Check file paths and try again."
)
except subprocess.CalledProcessError as exc:
logger.error("ffmpeg execution failed: %s", exc)
raise ExecError(
f"ffmpeg execution failed with error: {exc}. "
f"Please verify: (1) input files exist and are readable, "
f"(2) output directory is writable, "
f"(3) ffmpeg is properly installed (try 'ffmpeg -version'), "
f"(4) file formats are supported. "
f"Use --verbose for detailed logging."
) from exc
return 0

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from __future__ import annotations
from typing import TYPE_CHECKING
from .errors import BuildError
from .io_utils import expand_globs
from .nl_schema import Action
from .nl_schema import CommandEntry
from .nl_schema import CommandPlan
from .nl_schema import FfmpegIntent
if TYPE_CHECKING:
from pathlib import Path
def _derive_output_name(input_path: Path, intent: FfmpegIntent) -> Path:
if intent.output:
return intent.output
stem = input_path.stem
suffix = input_path.suffix
if intent.action == Action.extract_audio:
return input_path.with_suffix(".mp3")
if intent.action == Action.thumbnail:
return input_path.with_name("thumbnail.png")
if intent.action == Action.frames:
return input_path.with_name(f"{stem}_frame_%04d.png")
if intent.action == Action.trim:
return input_path.with_name("clip.mp4")
if intent.action == Action.remove_audio:
return input_path.with_name(f"{stem}_mute.mp4")
if intent.action == Action.overlay:
return input_path.with_name(f"{stem}_overlay.mp4")
if intent.action in {Action.convert, Action.compress}:
return input_path.with_suffix(".mp4")
return input_path.with_suffix(suffix)
def route_intent(intent: FfmpegIntent) -> CommandPlan:
# Expand any glob patterns provided
derived_inputs: list[Path] = list(intent.inputs)
if intent.glob:
globbed = expand_globs([intent.glob])
derived_inputs.extend(globbed)
if not derived_inputs:
raise BuildError(
"No input files found. Please ensure: "
"(1) input files exist in the current directory, "
"(2) file paths are correct, "
"or (3) glob patterns match existing files. "
"Try 'ls' to check available files."
)
entries: list[CommandEntry] = []
for inp in derived_inputs:
output = _derive_output_name(inp, intent)
args: list[str] = []
if intent.action == Action.convert:
if intent.scale:
args.extend(["-vf", f"scale={intent.scale}"])
elif intent.action == Action.extract_audio:
args.extend(["-q:a", "0", "-map", "a"])
elif intent.action == Action.remove_audio:
args.extend(["-an"])
elif intent.action == Action.trim:
if intent.start:
args.extend(["-ss", intent.start])
# If end is provided, prefer -to; otherwise use duration if present
if intent.end:
args.extend(["-to", intent.end])
elif intent.duration is not None:
args.extend(["-t", str(intent.duration)])
elif intent.action == Action.segment:
# simplified: use start/end if provided, else duration
if intent.start:
args.extend(["-ss", intent.start])
if intent.end:
args.extend(["-to", intent.end])
elif intent.duration is not None:
args.extend(["-t", str(intent.duration)])
elif intent.action == Action.thumbnail:
if intent.start:
args.extend(["-ss", intent.start])
args.extend(["-vframes", "1"])
elif intent.action == Action.frames:
if intent.fps:
args.extend(["-vf", f"fps={intent.fps}"])
elif intent.action == Action.compress:
# defaults in command builder
if intent.crf is not None:
args.extend(["-crf", str(intent.crf)])
elif intent.action == Action.overlay:
# include overlay input and optional xy; filter added in builder if not present
if intent.overlay_path:
# When overlay_xy provided, include filter here to override builder default
if intent.overlay_xy:
args.extend(["-filter_complex", f"overlay={intent.overlay_xy}"])
entries.append(
CommandEntry(
input=inp,
output=output,
args=args,
extra_inputs=[intent.overlay_path],
)
)
continue
else:
raise BuildError(
f"Unsupported action: {intent.action}. "
f"Supported actions are: convert, extract_audio, remove_audio, "
f"trim, segment, thumbnail, frames, compress, overlay. "
f"Please rephrase your request using supported operations."
)
entries.append(CommandEntry(input=inp, output=output, args=args))
summary = _build_summary(intent, entries)
return CommandPlan(summary=summary, entries=entries)
def _build_summary(intent: FfmpegIntent, entries: list[CommandEntry]) -> str:
if intent.action == Action.convert:
return f"Convert {len(entries)} file(s) to mp4 h264+aac with optional scale {intent.scale or '-'}"
if intent.action == Action.extract_audio:
return f"Extract audio from {len(entries)} file(s) to mp3"
if intent.action == Action.trim:
end_or_duration = (
f"end={intent.end}" if intent.end else f"duration={intent.duration or '-'}"
)
return f"Trim {len(entries)} file(s) start={intent.start or '0'} {end_or_duration}"
if intent.action == Action.thumbnail:
return f"Thumbnail from {len(entries)} file(s) at {intent.start or '00:00:10'}"
if intent.action == Action.overlay:
return f"Overlay {intent.overlay_path} on {len(entries)} file(s)"
if intent.action == Action.compress:
return f"Compress {len(entries)} file(s) with libx265 CRF {intent.crf or 28}"
if intent.action == Action.frames:
return f"Extract frames from {len(entries)} file(s) with fps {intent.fps or '1/5'}"
return f"Action {intent.action} on {len(entries)} file(s)"

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from __future__ import annotations
import glob
from pathlib import Path
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from collections.abc import Iterable
def expand_globs(patterns: Iterable[str]) -> list[Path]:
paths: list[Path] = []
for pattern in patterns:
for match in glob.glob(pattern, recursive=True):
paths.append(Path(match).resolve())
unique: list[Path] = []
seen = set()
for p in paths:
if p not in seen:
seen.add(p)
unique.append(p)
return unique
def is_safe_path(path: Path) -> bool:
# Guard against empty or root paths; avoid clobbering directories
try:
s = str(path)
except Exception:
return False
return not (s.strip() == "" or s in {"/", "\\"})
def ensure_parent_dir(path: Path) -> None:
if path.parent and not path.parent.exists():
path.parent.mkdir(parents=True, exist_ok=True)
def quote_path(path: Path) -> str:
# Use simple quoting suitable for preview text; subprocess will bypass shell
return str(path)
def most_recent_file(paths: Iterable[Path]) -> Path | None:
latest: tuple[float, Path] | None = None
for p in paths:
try:
mtime = p.stat().st_mtime
except OSError:
continue
if latest is None or mtime > latest[0]:
latest = (mtime, p)
return latest[1] if latest else None

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from __future__ import annotations
import json
import logging
from typing import Any
from pydantic import ValidationError
from .errors import ParseError
from .nl_schema import FfmpegIntent
logger = logging.getLogger(__name__)
SYSTEM_PROMPT = (
"You are an expert assistant that translates natural language into ffmpeg intents. "
"Respond ONLY with JSON matching the FfmpegIntent schema. Fields: action, inputs, output, "
"video_codec, audio_codec, filters, start, end, duration, scale, bitrate, crf, overlay_path, "
"overlay_xy, fps, glob, extra_flags. Use defaults: convert uses libx264+aac; 720p->scale=1280:720, "
"1080p->1920:1080; compression uses libx265 with crf=28. If unsupported, reply with "
'{"error": "unsupported_action", "message": "..."}.'
)
class LLMProvider:
def complete(self, system: str, user: str, timeout: int) -> str: # pragma: no cover - interface
raise NotImplementedError
class OpenAIProvider(LLMProvider):
def __init__(self, api_key: str, model: str) -> None:
from openai import OpenAI # lazy import for testability
self.client = OpenAI(api_key=api_key)
self.model = model
def complete(self, system: str, user: str, timeout: int) -> str:
rsp = self.client.chat.completions.create(
model=self.model,
messages=[
{"role": "system", "content": system},
{"role": "user", "content": user},
],
temperature=0,
response_format={"type": "json_object"},
timeout=timeout,
)
return rsp.choices[0].message.content or "{}"
class LLMClient:
def __init__(self, provider: LLMProvider) -> None:
self.provider = provider
def parse(
self, nl_prompt: str, context: dict[str, Any], timeout: int | None = None
) -> FfmpegIntent:
user_payload = json.dumps({"prompt": nl_prompt, "context": context})
effective_timeout = 60 if timeout is None else timeout
raw = self.provider.complete(SYSTEM_PROMPT, user_payload, timeout=effective_timeout)
try:
data = json.loads(raw)
intent = FfmpegIntent.model_validate(data)
return intent
except (json.JSONDecodeError, ValidationError) as first_err:
# one corrective pass
logger.debug("Primary parse failed, attempting repair: %s", first_err)
repair_prompt = "The previous output was invalid. Re-emit strictly valid JSON for FfmpegIntent only."
raw2 = self.provider.complete(
SYSTEM_PROMPT,
repair_prompt + "\n" + user_payload,
timeout=effective_timeout,
)
try:
data2 = json.loads(raw2)
intent2 = FfmpegIntent.model_validate(data2)
return intent2
except Exception as second_err: # noqa: BLE001
raise ParseError(
f"Failed to parse natural language prompt: {second_err}. "
"This could be due to: (1) network issues - try increasing --timeout, "
"(2) ambiguous prompt - be more specific, "
"(3) unsupported operation - check supported actions in --help, "
"or (4) model issues - try --model gpt-4o or gpt-4o-mini"
) from second_err

177
src/ai_ffmpeg_cli/main.py Normal file
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from __future__ import annotations
import logging
import typer
from rich import print as rprint
from .command_builder import build_commands
from .config import AppConfig
from .config import load_config
from .confirm import confirm_prompt
from .context_scanner import scan
from .errors import BuildError
from .errors import ConfigError
from .errors import ExecError
from .errors import ParseError
from .intent_router import route_intent
from .llm_client import LLMClient
from .llm_client import OpenAIProvider
app = typer.Typer(
add_completion=False, help="AI-powered ffmpeg CLI", invoke_without_command=True
)
def _setup_logging(verbose: bool) -> None:
level = logging.DEBUG if verbose else logging.INFO
logging.basicConfig(level=level, format="%(levelname)s: %(message)s")
@app.callback()
def main(
ctx: typer.Context | None = None,
prompt: str | None = typer.Argument(
None, help="Natural language prompt; if provided, runs once and exits"
),
yes: bool = typer.Option(
False, "--yes/--no-yes", help="Skip confirmation and overwrite"
),
model: str | None = typer.Option(None, "--model", help="LLM model override"),
dry_run: bool = typer.Option(None, "--dry-run/--no-dry-run", help="Preview only"),
timeout: int = typer.Option(60, "--timeout", help="LLM timeout seconds"),
verbose: bool = typer.Option(False, "--verbose", help="Verbose logging"),
) -> None:
"""Initialize global options and optionally run one-shot prompt."""
_setup_logging(verbose)
try:
cfg = load_config()
if model:
cfg.model = model
if dry_run is not None:
cfg.dry_run = dry_run
cfg.timeout_seconds = timeout
if ctx is not None:
ctx.obj = {"config": cfg, "assume_yes": yes}
# One-shot if a prompt is passed to the top-level
invoked_none = (ctx is None) or (ctx.invoked_subcommand is None)
if prompt is not None and invoked_none:
try:
context = scan()
client = _make_llm(cfg)
intent = client.parse(prompt, context, timeout=cfg.timeout_seconds)
plan = route_intent(intent)
commands = build_commands(plan, assume_yes=yes)
from .executor import preview
from .executor import run
# Always show preview before asking for confirmation
preview(commands)
confirmed = (
True
if yes
else confirm_prompt("Run these commands?", cfg.confirm_default, yes)
)
code = run(
commands,
confirm=confirmed,
dry_run=cfg.dry_run,
show_preview=False,
assume_yes=yes,
)
raise typer.Exit(code)
except (ParseError, BuildError, ExecError) as e:
rprint(f"[red]Error:[/red] {e}")
raise typer.Exit(1) from e
except ConfigError as e:
rprint(f"[red]Error:[/red] {e}")
raise typer.Exit(1) from e
def _make_llm(cfg: AppConfig) -> LLMClient:
if not cfg.openai_api_key:
raise ConfigError(
"OPENAI_API_KEY is required for LLM parsing. "
"Please set it in your environment or create a .env file with: "
"OPENAI_API_KEY=sk-your-key-here"
)
provider = OpenAIProvider(api_key=cfg.openai_api_key, model=cfg.model)
return LLMClient(provider)
@app.command()
def nl(
ctx: typer.Context,
prompt: str | None = typer.Argument(None, help="Natural language prompt"),
) -> None:
"""Translate NL to ffmpeg, preview, confirm, and execute."""
obj = ctx.obj or {}
cfg: AppConfig = obj["config"]
assume_yes: bool = obj["assume_yes"]
try:
context = scan()
client = _make_llm(cfg)
def handle_one(p: str) -> int:
intent = client.parse(p, context, timeout=cfg.timeout_seconds)
plan = route_intent(intent)
commands = build_commands(plan, assume_yes=assume_yes)
confirmed = (
True
if assume_yes
else confirm_prompt(
"Run these commands?", cfg.confirm_default, assume_yes
)
)
return_code = 0
if confirmed:
from .executor import run
return_code = run(
commands, confirm=True, dry_run=cfg.dry_run, assume_yes=assume_yes
)
else:
from .executor import preview
preview(commands)
return return_code
if prompt:
code = handle_one(prompt)
raise typer.Exit(code)
else:
rprint("[bold]aiclip[/bold] interactive mode. Type 'exit' to quit.")
while True:
try:
line = input("> ").strip()
except EOFError:
break
if not line or line.lower() in {"exit", "quit"}:
break
try:
handle_one(line)
except (ParseError, BuildError, ExecError) as e:
rprint(f"[red]Error:[/red] {e}")
except (ConfigError, ParseError, BuildError, ExecError) as e:
rprint(f"[red]Error:[/red] {e}")
raise typer.Exit(1) from e
# Stretch goal placeholder
@app.command()
def explain(
ffmpeg_command: str | None = typer.Argument(
None, help="Existing ffmpeg command to explain"
),
) -> None:
if not ffmpeg_command:
rprint("Provide an ffmpeg command to explain.")
raise typer.Exit(2)
rprint("Explanation is not implemented in MVP.")
if __name__ == "__main__":
app()

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from __future__ import annotations
from enum import Enum
from pathlib import Path # noqa: TC003 # Path needed at runtime for Pydantic models
from pydantic import BaseModel
from pydantic import Field
from pydantic import model_validator
def _seconds_to_timestamp(value: float | int | str) -> str:
try:
seconds_float = float(value)
except Exception:
return str(value)
total_ms = int(round(seconds_float * 1000))
ms = total_ms % 1000
total_seconds = total_ms // 1000
s = total_seconds % 60
total_minutes = total_seconds // 60
m = total_minutes % 60
h = total_minutes // 60
if ms:
return f"{h:02d}:{m:02d}:{s:02d}.{ms:03d}"
return f"{h:02d}:{m:02d}:{s:02d}"
class Action(str, Enum):
convert = "convert"
extract_audio = "extract_audio"
remove_audio = "remove_audio"
trim = "trim"
segment = "segment"
thumbnail = "thumbnail"
frames = "frames"
compress = "compress"
overlay = "overlay"
class FfmpegIntent(BaseModel):
action: Action
inputs: list[Path] = Field(default_factory=list)
output: Path | None = None
video_codec: str | None = None
audio_codec: str | None = None
filters: list[str] = Field(default_factory=list)
start: str | None = None
end: str | None = None
duration: float | None = None
scale: str | None = None
bitrate: str | None = None
crf: int | None = None
overlay_path: Path | None = None
overlay_xy: str | None = None
fps: str | None = None
glob: str | None = None
extra_flags: list[str] = Field(default_factory=list)
@model_validator(mode="before")
@classmethod
def _coerce_lists(cls, values): # type: ignore[override]
if not isinstance(values, dict):
return values
# inputs: allow scalar -> [scalar]
inputs = values.get("inputs")
if inputs is not None and not isinstance(inputs, list):
values["inputs"] = [inputs]
# filters: allow scalar -> [str(scalar)]
filters = values.get("filters")
if filters is not None and not isinstance(filters, list):
values["filters"] = [str(filters)]
# extra_flags: allow scalar -> [str(scalar)]
extra_flags = values.get("extra_flags")
if extra_flags is not None and not isinstance(extra_flags, list):
values["extra_flags"] = [str(extra_flags)]
# start/end: allow numeric seconds -> HH:MM:SS[.ms]
if "start" in values and not isinstance(values.get("start"), str):
values["start"] = _seconds_to_timestamp(values["start"]) # type: ignore[index]
if "end" in values and not isinstance(values.get("end"), str):
values["end"] = _seconds_to_timestamp(values["end"]) # type: ignore[index]
return values
@model_validator(mode="after")
def _validate(self) -> FfmpegIntent:
if self.action == Action.overlay and not self.overlay_path:
raise ValueError("overlay requires overlay_path")
if self.action in {Action.trim, Action.segment} and not (
self.duration or self.end or self.start
):
raise ValueError("trim/segment requires start+end or duration")
if self.action in {Action.convert, Action.compress} and not self.inputs:
raise ValueError("convert/compress requires at least one input")
if self.action == Action.extract_audio and not self.inputs:
raise ValueError("extract_audio requires an input file")
# Ensure incompatible combos are caught
if self.action == Action.thumbnail and self.fps:
raise ValueError("thumbnail is incompatible with fps; use frames action")
return self
class CommandEntry(BaseModel):
input: Path
output: Path
args: list[str] = Field(default_factory=list)
extra_inputs: list[Path] = Field(default_factory=list)
class CommandPlan(BaseModel):
summary: str
entries: list[CommandEntry]

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__version__ = "0.1.0"

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from pathlib import Path
from ai_ffmpeg_cli.command_builder import build_commands
from ai_ffmpeg_cli.nl_schema import CommandEntry
from ai_ffmpeg_cli.nl_schema import CommandPlan
def test_convert_defaults_to_h264_aac():
plan = CommandPlan(
summary="Convert 1 file(s) to mp4 h264+aac with optional scale -",
entries=[
CommandEntry(input=Path("input.mov"), output=Path("input.mp4"), args=[]),
],
)
cmds = build_commands(plan, assume_yes=False)
assert cmds == [
["ffmpeg", "-i", "input.mov", "-c:v", "libx264", "-c:a", "aac", "input.mp4"]
]
def test_extract_audio_command():
plan = CommandPlan(
summary="Extract audio from 1 file(s) to mp3",
entries=[
CommandEntry(
input=Path("demo.mp4"),
output=Path("demo.mp3"),
args=["-q:a", "0", "-map", "a"],
),
],
)
cmds = build_commands(plan)
assert cmds == [["ffmpeg", "-i", "demo.mp4", "-q:a", "0", "-map", "a", "demo.mp3"]]
def test_trim_copy_streams():
plan = CommandPlan(
summary="Trim 1 file(s) start=00:00:00 duration=30",
entries=[
CommandEntry(
input=Path("input.mp4"),
output=Path("clip.mp4"),
args=["-ss", "00:00:00", "-t", "30"],
),
],
)
cmds = build_commands(plan)
assert cmds == [
[
"ffmpeg",
"-ss",
"00:00:00",
"-t",
"30",
"-i",
"input.mp4",
"-c",
"copy",
"clip.mp4",
]
]
def test_thumbnail_at_10s():
plan = CommandPlan(
summary="Thumbnail from 1 file(s) at 00:00:10",
entries=[
CommandEntry(
input=Path("input.mp4"),
output=Path("thumbnail.png"),
args=["-ss", "00:00:10", "-vframes", "1"],
),
],
)
cmds = build_commands(plan)
assert cmds == [
[
"ffmpeg",
"-ss",
"00:00:10",
"-i",
"input.mp4",
"-vframes",
"1",
"thumbnail.png",
]
]
def test_overlay_top_right_default_with_logo_input():
plan = CommandPlan(
summary="Overlay logo.png on 1 file(s)",
entries=[
CommandEntry(
input=Path("video.mp4"),
output=Path("video_overlay.mp4"),
args=[],
extra_inputs=[Path("logo.png")],
),
],
)
cmds = build_commands(plan)
assert cmds == [
[
"ffmpeg",
"-i",
"video.mp4",
"-i",
"logo.png",
"-filter_complex",
"overlay=W-w-10:10",
"video_overlay.mp4",
]
]
def test_overlay_custom_xy_skips_default():
plan = CommandPlan(
summary="Overlay logo.png on 1 file(s)",
entries=[
CommandEntry(
input=Path("video.mp4"),
output=Path("video_overlay.mp4"),
args=["-filter_complex", "overlay=5:10"],
extra_inputs=[Path("logo.png")],
),
],
)
cmds = build_commands(plan)
assert cmds == [
[
"ffmpeg",
"-i",
"video.mp4",
"-i",
"logo.png",
"-filter_complex",
"overlay=5:10",
"video_overlay.mp4",
]
]
def test_compress_default_and_override_crf():
# default
plan_default = CommandPlan(
summary="Compress 1 file(s) with libx265 CRF 28",
entries=[
CommandEntry(
input=Path("in.mp4"),
output=Path("out.mp4"),
args=[],
)
],
)
cmds_default = build_commands(plan_default)
assert cmds_default == [
["ffmpeg", "-i", "in.mp4", "-c:v", "libx265", "-crf", "28", "out.mp4"]
]
# override via args (simulating router adding -crf 22)
plan_override = CommandPlan(
summary="Compress 1 file(s) with libx265 CRF 28",
entries=[
CommandEntry(
input=Path("in.mp4"),
output=Path("out.mp4"),
args=["-crf", "22"],
)
],
)
cmds_override = build_commands(plan_override)
assert cmds_override == [
[
"ffmpeg",
"-i",
"in.mp4",
"-c:v",
"libx265",
"-crf",
"22",
"out.mp4",
]
]
def test_frames_default_and_custom_fps():
# default when not present
plan_default = CommandPlan(
summary="Extract frames from 1 file(s) with fps 1/5",
entries=[
CommandEntry(
input=Path("in.mp4"),
output=Path("in_frame_%04d.png"),
args=[],
)
],
)
cmds_default = build_commands(plan_default)
assert cmds_default == [
["ffmpeg", "-i", "in.mp4", "-vf", "fps=1/5", "in_frame_%04d.png"]
]
# custom fps present in args
plan_custom = CommandPlan(
summary="Extract frames from 1 file(s) with fps 2",
entries=[
CommandEntry(
input=Path("in.mp4"),
output=Path("in_frame_%04d.png"),
args=["-vf", "fps=2"],
)
],
)
cmds_custom = build_commands(plan_custom)
assert cmds_custom == [
["ffmpeg", "-i", "in.mp4", "-vf", "fps=2", "in_frame_%04d.png"]
]

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"""Tests for config.py configuration module."""
import os
from pathlib import Path
from unittest.mock import Mock, patch
import pytest
from pydantic import ValidationError
from ai_ffmpeg_cli.config import AppConfig, load_config
from ai_ffmpeg_cli.errors import ConfigError
class TestAppConfig:
"""Test AppConfig model."""
def test_default_config(self):
"""Test default configuration values."""
config = AppConfig()
assert config.openai_api_key is None
assert config.model == "gpt-4o" # Default from env
assert config.dry_run is False # Updated default
assert config.confirm_default is True
assert config.timeout_seconds == 60
def test_config_with_values(self):
"""Test configuration with explicit values."""
config = AppConfig(
openai_api_key="test-key",
model="gpt-4o-mini",
dry_run=True,
confirm_default=False,
timeout_seconds=120,
)
assert config.openai_api_key == "test-key"
assert config.model == "gpt-4o-mini"
assert config.dry_run is True
assert config.confirm_default is False
assert config.timeout_seconds == 120
@patch("ai_ffmpeg_cli.config.shutil.which")
def test_validate_ffmpeg_available(self, mock_which):
"""Test ffmpeg availability validation."""
mock_which.return_value = "/usr/bin/ffmpeg"
config = AppConfig()
# Should not raise exception
config.validate_ffmpeg_available()
@patch("ai_ffmpeg_cli.config.shutil.which")
def test_validate_ffmpeg_not_available(self, mock_which):
"""Test ffmpeg not available error."""
mock_which.return_value = None
config = AppConfig()
with pytest.raises(ConfigError, match="ffmpeg not found in PATH"):
config.validate_ffmpeg_available()
@patch.dict(os.environ, {"AICLIP_MODEL": "gpt-3.5-turbo"})
def test_model_from_env(self):
"""Test model loading from environment."""
config = AppConfig()
assert config.model == "gpt-3.5-turbo"
@patch.dict(os.environ, {"AICLIP_DRY_RUN": "true"})
def test_dry_run_true_from_env(self):
"""Test dry_run=True from environment."""
config = AppConfig()
assert config.dry_run is True
@patch.dict(os.environ, {"AICLIP_DRY_RUN": "false"})
def test_dry_run_false_from_env(self):
"""Test dry_run=False from environment."""
config = AppConfig()
assert config.dry_run is False
@patch.dict(os.environ, {"AICLIP_DRY_RUN": "1"})
def test_dry_run_numeric_true_from_env(self):
"""Test dry_run=True from numeric environment value."""
config = AppConfig()
assert config.dry_run is True
@patch.dict(os.environ, {"AICLIP_DRY_RUN": "yes"})
def test_dry_run_yes_from_env(self):
"""Test dry_run=True from 'yes' environment value."""
config = AppConfig()
assert config.dry_run is True
class TestLoadConfig:
"""Test load_config function."""
@patch("ai_ffmpeg_cli.config.load_dotenv")
@patch.dict(os.environ, {"OPENAI_API_KEY": "test-key"})
@patch("ai_ffmpeg_cli.config.shutil.which")
def test_load_config_success(self, mock_which, mock_load_dotenv):
"""Test successful config loading."""
mock_which.return_value = "/usr/bin/ffmpeg"
config = load_config()
assert config.openai_api_key == "test-key"
mock_load_dotenv.assert_called_once_with(override=False)
mock_which.assert_called_once_with("ffmpeg")
@patch("ai_ffmpeg_cli.config.load_dotenv")
@patch("ai_ffmpeg_cli.config.shutil.which")
def test_load_config_no_ffmpeg(self, mock_which, mock_load_dotenv):
"""Test config loading when ffmpeg is not available."""
mock_which.return_value = None
with pytest.raises(ConfigError, match="ffmpeg not found in PATH"):
load_config()
@patch("ai_ffmpeg_cli.config.load_dotenv")
@patch("ai_ffmpeg_cli.config.AppConfig")
@patch("ai_ffmpeg_cli.config.shutil.which")
def test_load_config_validation_error(
self, mock_which, mock_app_config, mock_load_dotenv
):
"""Test config loading with validation error."""
mock_which.return_value = "/usr/bin/ffmpeg"
# Create proper ValidationError with line_errors as list
from pydantic_core import ValidationError as CoreValidationError
mock_app_config.side_effect = ValidationError.from_exception_data(
"Invalid config", []
)
with pytest.raises(ConfigError):
load_config()
@patch("ai_ffmpeg_cli.config.load_dotenv")
@patch.dict(
os.environ, {"OPENAI_API_KEY": "test-key", "AICLIP_MODEL": "custom-model"}
)
@patch("ai_ffmpeg_cli.config.shutil.which")
def test_load_config_with_env_vars(self, mock_which, mock_load_dotenv):
"""Test config loading with environment variables."""
mock_which.return_value = "/usr/bin/ffmpeg"
config = load_config()
assert config.openai_api_key == "test-key"
assert config.model == "custom-model"
@patch("ai_ffmpeg_cli.config.load_dotenv")
@patch.dict(os.environ, {}, clear=True) # Clear environment
@patch("ai_ffmpeg_cli.config.shutil.which")
def test_load_config_minimal(self, mock_which, mock_load_dotenv):
"""Test config loading with minimal environment."""
mock_which.return_value = "/usr/bin/ffmpeg"
config = load_config()
assert config.openai_api_key is None # Not set in env
assert config.model == "gpt-4o" # Default value
assert config.dry_run is False # Default value

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"""Tests for confirm.py user interaction module."""
from unittest.mock import patch
import pytest
from ai_ffmpeg_cli.confirm import confirm_prompt
class TestConfirmPrompt:
"""Test confirm_prompt function."""
def test_assume_yes_returns_true(self):
"""Test that assume_yes=True always returns True."""
result = confirm_prompt("Continue?", default_yes=True, assume_yes=True)
assert result is True
result = confirm_prompt("Continue?", default_yes=False, assume_yes=True)
assert result is True
@patch("builtins.input")
def test_yes_responses(self, mock_input):
"""Test various 'yes' responses."""
yes_responses = ["y", "yes", "Y", "YES", "Yes"]
for response in yes_responses:
mock_input.return_value = response
result = confirm_prompt("Continue?", default_yes=False, assume_yes=False)
assert result is True
@patch("builtins.input")
def test_no_responses(self, mock_input):
"""Test various 'no' responses."""
no_responses = ["n", "no", "N", "NO", "No", "anything_else"]
for response in no_responses:
mock_input.return_value = response
result = confirm_prompt("Continue?", default_yes=False, assume_yes=False)
assert result is False
@patch("builtins.input")
def test_empty_response_default_yes(self, mock_input):
"""Test empty response with default_yes=True."""
mock_input.return_value = ""
result = confirm_prompt("Continue?", default_yes=True, assume_yes=False)
assert result is True
@patch("builtins.input")
def test_empty_response_default_no(self, mock_input):
"""Test empty response with default_yes=False."""
mock_input.return_value = ""
result = confirm_prompt("Continue?", default_yes=False, assume_yes=False)
assert result is False
@patch("builtins.input")
def test_whitespace_response_default_yes(self, mock_input):
"""Test whitespace-only response with default_yes=True."""
mock_input.return_value = " "
result = confirm_prompt("Continue?", default_yes=True, assume_yes=False)
assert result is True
@patch("builtins.input")
def test_whitespace_response_default_no(self, mock_input):
"""Test whitespace-only response with default_yes=False."""
mock_input.return_value = " "
result = confirm_prompt("Continue?", default_yes=False, assume_yes=False)
assert result is False
@patch("builtins.input")
def test_eof_error_default_yes(self, mock_input):
"""Test EOFError with default_yes=True."""
mock_input.side_effect = EOFError()
result = confirm_prompt("Continue?", default_yes=True, assume_yes=False)
assert result is True
@patch("builtins.input")
def test_eof_error_default_no(self, mock_input):
"""Test EOFError with default_yes=False."""
mock_input.side_effect = EOFError()
result = confirm_prompt("Continue?", default_yes=False, assume_yes=False)
assert result is False
@patch("builtins.input")
def test_case_insensitive_responses(self, mock_input):
"""Test that responses are case insensitive."""
# Mixed case responses
mixed_responses = [
("yEs", True),
("nO", False),
("Y", True),
("n", False),
]
for response, expected in mixed_responses:
mock_input.return_value = response
result = confirm_prompt("Continue?", default_yes=False, assume_yes=False)
assert result is expected
@patch("builtins.input")
def test_response_stripped(self, mock_input):
"""Test that responses are properly stripped of whitespace."""
responses_with_whitespace = [
(" yes ", True),
("\tn\t", False),
(" Y ", True),
(" no ", False),
]
for response, expected in responses_with_whitespace:
mock_input.return_value = response
result = confirm_prompt("Continue?", default_yes=False, assume_yes=False)
assert result is expected
@patch("builtins.input")
def test_question_formats(self, mock_input):
"""Test different question formats."""
mock_input.return_value = "yes"
# Should work with any question format
questions = [
"Continue?",
"Do you want to proceed?",
"Are you sure?",
"Confirm action", # No question mark
"", # Empty question
]
for question in questions:
result = confirm_prompt(question, default_yes=False, assume_yes=False)
assert result is True
@patch("builtins.input")
def test_default_parameters(self, mock_input):
"""Test function with default parameters."""
mock_input.return_value = "yes"
# Test with minimal parameters - should use defaults
result = confirm_prompt("Continue?", assume_yes=False)
assert result is True
# Test with assume_yes=True to avoid input
result = confirm_prompt("Continue?", assume_yes=True)
assert result is True

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"""Tests for context_scanner.py file scanning functionality."""
import json
import subprocess
from pathlib import Path
from unittest.mock import Mock, patch
import pytest
from ai_ffmpeg_cli.context_scanner import _ffprobe_duration, scan
class TestFfprobeDuration:
"""Test ffprobe duration extraction."""
@patch("ai_ffmpeg_cli.context_scanner.shutil.which")
def test_ffprobe_not_available(self, mock_which):
"""Test when ffprobe is not available."""
mock_which.return_value = None
result = _ffprobe_duration(Path("test.mp4"))
assert result is None
mock_which.assert_called_once_with("ffprobe")
@patch("ai_ffmpeg_cli.context_scanner.shutil.which")
@patch("ai_ffmpeg_cli.context_scanner.subprocess.run")
def test_ffprobe_success(self, mock_run, mock_which):
"""Test successful ffprobe duration extraction."""
mock_which.return_value = "/usr/bin/ffprobe"
# Mock successful ffprobe response
mock_result = Mock()
mock_result.stdout = json.dumps({"format": {"duration": "120.5"}})
mock_run.return_value = mock_result
result = _ffprobe_duration(Path("test.mp4"))
assert result == 120.5
mock_run.assert_called_once_with(
[
"ffprobe",
"-v",
"error",
"-show_entries",
"format=duration",
"-of",
"json",
"test.mp4",
],
capture_output=True,
check=True,
text=True,
)
@patch("ai_ffmpeg_cli.context_scanner.shutil.which")
@patch("ai_ffmpeg_cli.context_scanner.subprocess.run")
def test_ffprobe_no_duration(self, mock_run, mock_which):
"""Test ffprobe response without duration."""
mock_which.return_value = "/usr/bin/ffprobe"
# Mock ffprobe response without duration
mock_result = Mock()
mock_result.stdout = json.dumps({"format": {}})
mock_run.return_value = mock_result
result = _ffprobe_duration(Path("test.mp4"))
assert result is None
@patch("ai_ffmpeg_cli.context_scanner.shutil.which")
@patch("ai_ffmpeg_cli.context_scanner.subprocess.run")
def test_ffprobe_invalid_duration(self, mock_run, mock_which):
"""Test ffprobe response with invalid duration."""
mock_which.return_value = "/usr/bin/ffprobe"
# Mock ffprobe response with invalid duration
mock_result = Mock()
mock_result.stdout = json.dumps({"format": {"duration": "invalid"}})
mock_run.return_value = mock_result
result = _ffprobe_duration(Path("test.mp4"))
assert result is None
@patch("ai_ffmpeg_cli.context_scanner.shutil.which")
@patch("ai_ffmpeg_cli.context_scanner.subprocess.run")
def test_ffprobe_subprocess_error(self, mock_run, mock_which):
"""Test ffprobe subprocess error."""
mock_which.return_value = "/usr/bin/ffprobe"
mock_run.side_effect = subprocess.CalledProcessError(1, "ffprobe")
result = _ffprobe_duration(Path("test.mp4"))
assert result is None
@patch("ai_ffmpeg_cli.context_scanner.shutil.which")
@patch("ai_ffmpeg_cli.context_scanner.subprocess.run")
def test_ffprobe_json_decode_error(self, mock_run, mock_which):
"""Test ffprobe with invalid JSON response."""
mock_which.return_value = "/usr/bin/ffprobe"
# Mock ffprobe response with invalid JSON
mock_result = Mock()
mock_result.stdout = "invalid json"
mock_run.return_value = mock_result
result = _ffprobe_duration(Path("test.mp4"))
assert result is None
class TestScan:
"""Test directory scanning functionality."""
def test_scan_default_directory(self, tmp_path):
"""Test scanning with default (current) directory."""
# Create test files
(tmp_path / "video.mp4").write_bytes(b"fake video")
(tmp_path / "audio.mp3").write_bytes(b"fake audio")
(tmp_path / "image.png").write_bytes(b"fake image")
(tmp_path / "text.txt").write_bytes(b"text file")
with patch("ai_ffmpeg_cli.context_scanner.Path.cwd", return_value=tmp_path):
with patch(
"ai_ffmpeg_cli.context_scanner._ffprobe_duration", return_value=120.0
):
result = scan()
assert result["cwd"] == str(tmp_path)
video_names = [Path(v).name for v in result["videos"]]
audio_names = [Path(a).name for a in result["audios"]]
image_names = [Path(i).name for i in result["images"]]
assert "video.mp4" in video_names
assert "audio.mp3" in audio_names
assert "image.png" in image_names
# Check info structure
assert len(result["info"]) == 2 # video and audio files
video_info = next(
info for info in result["info"] if "video.mp4" in info["path"]
)
assert video_info["duration"] == 120.0
assert video_info["size"] > 0
def test_scan_custom_directory(self, tmp_path):
"""Test scanning with custom directory."""
# Create test files
(tmp_path / "movie.mov").write_bytes(b"fake movie")
(tmp_path / "song.wav").write_bytes(b"fake song")
with patch(
"ai_ffmpeg_cli.context_scanner._ffprobe_duration", return_value=None
):
result = scan(cwd=tmp_path)
assert result["cwd"] == str(tmp_path)
video_names = [Path(v).name for v in result["videos"]]
audio_names = [Path(a).name for a in result["audios"]]
assert "movie.mov" in video_names
assert "song.wav" in audio_names
assert result["images"] == []
@patch("ai_ffmpeg_cli.context_scanner.most_recent_file")
def test_scan_with_most_recent_video(self, mock_most_recent, tmp_path):
"""Test scanning with most recent video detection."""
# Create test files
(tmp_path / "old.mp4").write_bytes(b"old video")
(tmp_path / "new.mp4").write_bytes(b"new video")
mock_most_recent.return_value = tmp_path / "new.mp4"
with patch(
"ai_ffmpeg_cli.context_scanner._ffprobe_duration", return_value=60.0
):
result = scan(cwd=tmp_path)
assert result["most_recent_video"] == str(tmp_path / "new.mp4")
mock_most_recent.assert_called_once()
@patch("ai_ffmpeg_cli.context_scanner.most_recent_file")
def test_scan_no_most_recent_video(self, mock_most_recent, tmp_path):
"""Test scanning when no most recent video is found."""
mock_most_recent.return_value = None
result = scan(cwd=tmp_path)
assert result["most_recent_video"] is None
def test_scan_empty_directory(self, tmp_path):
"""Test scanning empty directory."""
result = scan(cwd=tmp_path)
assert result["cwd"] == str(tmp_path)
assert result["videos"] == []
assert result["audios"] == []
assert result["images"] == []
assert result["most_recent_video"] is None
assert result["info"] == []
def test_scan_case_insensitive_extensions(self, tmp_path):
"""Test that file extension matching is case insensitive."""
# Create files with uppercase extensions
(tmp_path / "video.MP4").write_bytes(b"fake video")
(tmp_path / "audio.MP3").write_bytes(b"fake audio")
(tmp_path / "image.PNG").write_bytes(b"fake image")
with patch(
"ai_ffmpeg_cli.context_scanner._ffprobe_duration", return_value=None
):
result = scan(cwd=tmp_path)
video_names = [Path(v).name for v in result["videos"]]
audio_names = [Path(a).name for a in result["audios"]]
image_names = [Path(i).name for i in result["images"]]
assert "video.MP4" in video_names
assert "audio.MP3" in audio_names
assert "image.PNG" in image_names
def test_scan_various_media_formats(self, tmp_path):
"""Test scanning with various supported media formats."""
# Video formats
video_files = ["test.mp4", "test.mov", "test.mkv", "test.webm", "test.avi"]
for filename in video_files:
(tmp_path / filename).write_bytes(b"fake video")
# Audio formats
audio_files = ["test.mp3", "test.aac", "test.wav", "test.m4a", "test.flac"]
for filename in audio_files:
(tmp_path / filename).write_bytes(b"fake audio")
# Image formats
image_files = ["test.png", "test.jpg", "test.jpeg"]
for filename in image_files:
(tmp_path / filename).write_bytes(b"fake image")
with patch(
"ai_ffmpeg_cli.context_scanner._ffprobe_duration", return_value=None
):
result = scan(cwd=tmp_path)
# Extract filenames from full paths
video_names = [Path(v).name for v in result["videos"]]
audio_names = [Path(a).name for a in result["audios"]]
image_names = [Path(i).name for i in result["images"]]
# Check all formats are detected
for filename in video_files:
assert filename in video_names
for filename in audio_files:
assert filename in audio_names
for filename in image_files:
assert filename in image_names
def test_scan_ignores_directories(self, tmp_path):
"""Test that scanning ignores subdirectories."""
# Create a subdirectory with media files
subdir = tmp_path / "subdir"
subdir.mkdir()
(subdir / "video.mp4").write_bytes(b"fake video")
# Create file in main directory
(tmp_path / "main.mp4").write_bytes(b"fake video")
with patch(
"ai_ffmpeg_cli.context_scanner._ffprobe_duration", return_value=None
):
result = scan(cwd=tmp_path)
# Extract filenames from full paths
video_names = [Path(v).name for v in result["videos"]]
# Should only find the main directory file
assert len(result["videos"]) == 1
assert "main.mp4" in video_names
assert "video.mp4" not in video_names # From subdirectory

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from unittest.mock import patch
from ai_ffmpeg_cli.executor import run
def test_dry_run_returns_zero():
cmds = [["ffmpeg", "-i", "in.mp4", "out.mp4"]]
assert run(cmds, confirm=True, dry_run=True) == 0
@patch("subprocess.run")
def test_run_executes_when_confirmed(mock_run):
mock_run.return_value.returncode = 0
cmds = [["ffmpeg", "-i", "in.mp4", "out.mp4"]]
assert run(cmds, confirm=True, dry_run=False) == 0
assert mock_run.called

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"""Comprehensive tests for executor.py command execution."""
import subprocess
from pathlib import Path
from unittest.mock import Mock, patch, call
import pytest
from ai_ffmpeg_cli.executor import (
_check_overwrite_protection,
_extract_output_path,
_format_command,
preview,
run,
)
from ai_ffmpeg_cli.errors import ExecError
class TestFormatCommand:
"""Test command formatting."""
def test_format_simple_command(self):
"""Test formatting simple command."""
cmd = ["ffmpeg", "-i", "input.mp4", "output.mp4"]
result = _format_command(cmd)
assert result == "ffmpeg -i input.mp4 output.mp4"
def test_format_complex_command(self):
"""Test formatting complex command with many arguments."""
cmd = [
"ffmpeg",
"-ss",
"00:00:10",
"-i",
"input.mp4",
"-vf",
"scale=1280:720",
"-c:v",
"libx264",
"-c:a",
"aac",
"-y",
"output.mp4",
]
result = _format_command(cmd)
expected = "ffmpeg -ss 00:00:10 -i input.mp4 -vf scale=1280:720 -c:v libx264 -c:a aac -y output.mp4"
assert result == expected
def test_format_empty_command(self):
"""Test formatting empty command."""
result = _format_command([])
assert result == ""
def test_format_single_argument(self):
"""Test formatting command with single argument."""
result = _format_command(["ffmpeg"])
assert result == "ffmpeg"
class TestExtractOutputPath:
"""Test output path extraction."""
def test_extract_output_path_normal(self):
"""Test extracting output path from normal command."""
cmd = ["ffmpeg", "-i", "input.mp4", "output.mp4"]
result = _extract_output_path(cmd)
assert result == Path("output.mp4")
def test_extract_output_path_with_flags(self):
"""Test extracting output path with many flags."""
cmd = [
"ffmpeg",
"-y",
"-i",
"input.mp4",
"-vf",
"scale=720:480",
"-c:v",
"libx264",
"final_output.mp4",
]
result = _extract_output_path(cmd)
assert result == Path("final_output.mp4")
def test_extract_output_path_empty_command(self):
"""Test extracting output path from empty command."""
result = _extract_output_path([])
assert result is None
def test_extract_output_path_single_argument(self):
"""Test extracting output path from single argument command."""
result = _extract_output_path(["ffmpeg"])
assert result is None
def test_extract_output_path_absolute(self):
"""Test extracting absolute output path."""
cmd = ["ffmpeg", "-i", "input.mp4", "/path/to/output.mp4"]
result = _extract_output_path(cmd)
assert result == Path("/path/to/output.mp4")
class TestCheckOverwriteProtection:
"""Test overwrite protection logic."""
def test_no_existing_files(self):
"""Test when no output files exist."""
commands = [["ffmpeg", "-i", "input.mp4", "nonexistent.mp4"]]
with patch("ai_ffmpeg_cli.executor.Path.exists", return_value=False):
result = _check_overwrite_protection(commands, assume_yes=False)
assert result is True
def test_assume_yes_with_existing_files(self, tmp_path):
"""Test assume_yes=True skips confirmation even with existing files."""
output_file = tmp_path / "existing.mp4"
output_file.write_text("existing content")
commands = [["ffmpeg", "-i", "input.mp4", str(output_file)]]
result = _check_overwrite_protection(commands, assume_yes=True)
assert result is True
@patch("ai_ffmpeg_cli.executor.confirm_prompt")
@patch("ai_ffmpeg_cli.executor.Console")
def test_existing_files_confirm_yes(self, mock_console, mock_confirm, tmp_path):
"""Test with existing files and user confirms overwrite."""
output_file = tmp_path / "existing.mp4"
output_file.write_text("existing content")
commands = [["ffmpeg", "-i", "input.mp4", str(output_file)]]
mock_confirm.return_value = True
result = _check_overwrite_protection(commands, assume_yes=False)
assert result is True
mock_confirm.assert_called_once_with(
"Continue and overwrite these files?", default_yes=False, assume_yes=False
)
@patch("ai_ffmpeg_cli.executor.confirm_prompt")
@patch("ai_ffmpeg_cli.executor.Console")
def test_existing_files_confirm_no(self, mock_console, mock_confirm, tmp_path):
"""Test with existing files and user declines overwrite."""
output_file = tmp_path / "existing.mp4"
output_file.write_text("existing content")
commands = [["ffmpeg", "-i", "input.mp4", str(output_file)]]
mock_confirm.return_value = False
result = _check_overwrite_protection(commands, assume_yes=False)
assert result is False
@patch("ai_ffmpeg_cli.executor.confirm_prompt")
@patch("ai_ffmpeg_cli.executor.Console")
def test_multiple_existing_files(self, mock_console, mock_confirm, tmp_path):
"""Test with multiple existing files."""
output1 = tmp_path / "existing1.mp4"
output2 = tmp_path / "existing2.mp4"
output1.write_text("content1")
output2.write_text("content2")
commands = [
["ffmpeg", "-i", "input1.mp4", str(output1)],
["ffmpeg", "-i", "input2.mp4", str(output2)],
]
mock_confirm.return_value = True
result = _check_overwrite_protection(commands, assume_yes=False)
assert result is True
# Should show both files in warning
mock_console.return_value.print.assert_called()
def test_mixed_existing_nonexisting_files(self, tmp_path):
"""Test with mix of existing and non-existing files."""
existing_file = tmp_path / "existing.mp4"
existing_file.write_text("content")
commands = [
["ffmpeg", "-i", "input1.mp4", str(existing_file)],
["ffmpeg", "-i", "input2.mp4", str(tmp_path / "nonexistent.mp4")],
]
with patch(
"ai_ffmpeg_cli.executor.confirm_prompt", return_value=True
) as mock_confirm:
with patch("ai_ffmpeg_cli.executor.Console"):
result = _check_overwrite_protection(commands, assume_yes=False)
assert result is True
# Should still prompt because one file exists
mock_confirm.assert_called_once()
class TestPreview:
"""Test command preview functionality."""
@patch("ai_ffmpeg_cli.executor.Console")
def test_preview_single_command(self, mock_console):
"""Test previewing single command."""
commands = [["ffmpeg", "-i", "input.mp4", "output.mp4"]]
preview(commands)
mock_console.assert_called_once()
console_instance = mock_console.return_value
console_instance.print.assert_called_once()
@patch("ai_ffmpeg_cli.executor.Console")
def test_preview_multiple_commands(self, mock_console):
"""Test previewing multiple commands."""
commands = [
["ffmpeg", "-i", "input1.mp4", "output1.mp4"],
["ffmpeg", "-i", "input2.mp4", "output2.mp4"],
["ffmpeg", "-i", "input3.mp4", "output3.mp4"],
]
preview(commands)
mock_console.assert_called_once()
console_instance = mock_console.return_value
console_instance.print.assert_called_once()
# Table should be created with correct number of rows
table_arg = console_instance.print.call_args[0][0]
# Would need to inspect table structure in real implementation
class TestRun:
"""Test command execution functionality."""
@patch("ai_ffmpeg_cli.executor.preview")
def test_run_dry_run_mode(self, mock_preview):
"""Test run in dry-run mode."""
commands = [["ffmpeg", "-i", "input.mp4", "output.mp4"]]
result = run(commands, confirm=True, dry_run=True, show_preview=True)
assert result == 0
mock_preview.assert_called_once_with(commands)
@patch("ai_ffmpeg_cli.executor.preview")
def test_run_not_confirmed(self, mock_preview):
"""Test run when not confirmed."""
commands = [["ffmpeg", "-i", "input.mp4", "output.mp4"]]
result = run(commands, confirm=False, dry_run=False, show_preview=True)
assert result == 0
mock_preview.assert_called_once_with(commands)
@patch("ai_ffmpeg_cli.executor.preview")
@patch("ai_ffmpeg_cli.executor._check_overwrite_protection")
@patch("ai_ffmpeg_cli.executor.subprocess.run")
def test_run_successful_execution(
self, mock_subprocess, mock_overwrite, mock_preview
):
"""Test successful command execution."""
commands = [["ffmpeg", "-i", "input.mp4", "output.mp4"]]
mock_overwrite.return_value = True
mock_result = Mock()
mock_result.returncode = 0
mock_subprocess.return_value = mock_result
result = run(
commands, confirm=True, dry_run=False, show_preview=True, assume_yes=False
)
assert result == 0
mock_subprocess.assert_called_once_with(commands[0], check=True)
mock_overwrite.assert_called_once()
@patch("ai_ffmpeg_cli.executor.preview")
@patch("ai_ffmpeg_cli.executor._check_overwrite_protection")
def test_run_overwrite_cancelled(self, mock_overwrite, mock_preview):
"""Test when user cancels due to overwrite protection."""
commands = [["ffmpeg", "-i", "input.mp4", "output.mp4"]]
mock_overwrite.return_value = False
result = run(
commands, confirm=True, dry_run=False, show_preview=True, assume_yes=False
)
assert result == 1 # Cancelled
@patch("ai_ffmpeg_cli.executor.preview")
@patch("ai_ffmpeg_cli.executor._check_overwrite_protection")
@patch("ai_ffmpeg_cli.executor.subprocess.run")
def test_run_command_failure(self, mock_subprocess, mock_overwrite, mock_preview):
"""Test command execution failure."""
commands = [["ffmpeg", "-i", "input.mp4", "output.mp4"]]
mock_overwrite.return_value = True
# Mock command failure
mock_subprocess.side_effect = subprocess.CalledProcessError(1, "ffmpeg")
with pytest.raises(ExecError, match="ffmpeg execution failed"):
run(
commands,
confirm=True,
dry_run=False,
show_preview=True,
assume_yes=False,
)
@patch("ai_ffmpeg_cli.executor.preview")
@patch("ai_ffmpeg_cli.executor._check_overwrite_protection")
@patch("ai_ffmpeg_cli.executor.subprocess.run")
def test_run_multiple_commands(self, mock_subprocess, mock_overwrite, mock_preview):
"""Test execution of multiple commands."""
commands = [
["ffmpeg", "-i", "input1.mp4", "output1.mp4"],
["ffmpeg", "-i", "input2.mp4", "output2.mp4"],
]
mock_overwrite.return_value = True
mock_result = Mock()
mock_result.returncode = 0
mock_subprocess.return_value = mock_result
result = run(
commands, confirm=True, dry_run=False, show_preview=True, assume_yes=False
)
assert result == 0
assert mock_subprocess.call_count == 2
mock_subprocess.assert_has_calls(
[call(commands[0], check=True), call(commands[1], check=True)]
)
@patch("ai_ffmpeg_cli.executor.preview")
@patch("ai_ffmpeg_cli.executor._check_overwrite_protection")
@patch("ai_ffmpeg_cli.executor.subprocess.run")
def test_run_second_command_fails(
self, mock_subprocess, mock_overwrite, mock_preview
):
"""Test when second command fails."""
commands = [
["ffmpeg", "-i", "input1.mp4", "output1.mp4"],
["ffmpeg", "-i", "input2.mp4", "output2.mp4"],
]
mock_overwrite.return_value = True
# First command succeeds, second fails
mock_results = [Mock(), None] # Second will raise exception
mock_results[0].returncode = 0
mock_subprocess.side_effect = [
mock_results[0],
subprocess.CalledProcessError(1, "ffmpeg"),
]
with pytest.raises(ExecError):
run(
commands,
confirm=True,
dry_run=False,
show_preview=True,
assume_yes=False,
)
# Should have called both commands before failing
assert mock_subprocess.call_count == 2
@patch("ai_ffmpeg_cli.executor.preview")
def test_run_no_preview(self, mock_preview):
"""Test run without showing preview."""
commands = [["ffmpeg", "-i", "input.mp4", "output.mp4"]]
result = run(commands, confirm=True, dry_run=True, show_preview=False)
assert result == 0
mock_preview.assert_not_called()
@patch("ai_ffmpeg_cli.executor._check_overwrite_protection")
@patch("ai_ffmpeg_cli.executor.subprocess.run")
def test_run_with_assume_yes(self, mock_subprocess, mock_overwrite):
"""Test run with assume_yes parameter."""
commands = [["ffmpeg", "-i", "input.mp4", "output.mp4"]]
mock_overwrite.return_value = True
mock_result = Mock()
mock_result.returncode = 0
mock_subprocess.return_value = mock_result
result = run(
commands, confirm=True, dry_run=False, show_preview=False, assume_yes=True
)
assert result == 0
mock_overwrite.assert_called_once_with(
commands, True
) # assume_yes passed through

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from pathlib import Path
from ai_ffmpeg_cli.intent_router import route_intent
from ai_ffmpeg_cli.nl_schema import Action
from ai_ffmpeg_cli.nl_schema import FfmpegIntent
def test_route_extract_audio_defaults_output_mp3():
intent = FfmpegIntent(action=Action.extract_audio, inputs=[Path("demo.mp4")])
plan = route_intent(intent)
assert plan.entries[0].output.name == "demo.mp3"
assert plan.entries[0].args == ["-q:a", "0", "-map", "a"]
def test_route_thumbnail_defaults():
intent = FfmpegIntent(action=Action.thumbnail, inputs=[Path("input.mp4")], start="00:00:10")
plan = route_intent(intent)
assert plan.entries[0].output.name == "thumbnail.png"
assert "-vframes" in plan.entries[0].args
def test_route_overlay_includes_extra_input():
intent = FfmpegIntent(
action=Action.overlay,
inputs=[Path("video.mp4")],
overlay_path=Path("logo.png"),
)
plan = route_intent(intent)
entry = plan.entries[0]
assert entry.extra_inputs and entry.extra_inputs[0].name == "logo.png"
def test_segment_start_end_routing():
intent = FfmpegIntent(
action=Action.segment,
inputs=[Path("video.mp4")],
start="00:00:05",
end="00:00:10",
)
plan = route_intent(intent)
args = plan.entries[0].args
assert args == ["-ss", "00:00:05", "-to", "00:00:10"]
def test_segment_duration_routing():
intent = FfmpegIntent(
action=Action.segment,
inputs=[Path("video.mp4")],
start="00:00:05",
duration=3.5,
)
plan = route_intent(intent)
args = plan.entries[0].args
assert args == ["-ss", "00:00:05", "-t", "3.5"]
def test_trim_with_start_and_end_prefers_to():
intent = FfmpegIntent(
action=Action.trim,
inputs=[Path("video.mp4")],
start="00:00:05",
end="00:00:10",
)
plan = route_intent(intent)
args = plan.entries[0].args
assert args == ["-ss", "00:00:05", "-to", "00:00:10"]
def test_glob_expands_inputs(tmp_path):
f1 = tmp_path / "a.mov"
f2 = tmp_path / "b.mov"
f1.write_bytes(b"1")
f2.write_bytes(b"2")
# Use a non-strict action that does not require inputs validation (e.g., frames)
intent = FfmpegIntent(
action=Action.frames,
inputs=[],
glob=str(tmp_path / "*.mov"),
fps="1/5",
)
plan = route_intent(intent)
assert len(plan.entries) == 2
input_names = {e.input.name for e in plan.entries}
assert input_names == {"a.mov", "b.mov"}

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"""Comprehensive tests for io_utils.py file utilities."""
import glob
from pathlib import Path
from unittest.mock import patch
import pytest
from ai_ffmpeg_cli.io_utils import (
ensure_parent_dir,
expand_globs,
is_safe_path,
most_recent_file,
)
class TestExpandGlobs:
"""Test glob pattern expansion."""
def test_expand_single_pattern(self, tmp_path):
"""Test expanding single glob pattern."""
# Create test files
(tmp_path / "file1.txt").touch()
(tmp_path / "file2.txt").touch()
(tmp_path / "other.log").touch()
with patch("ai_ffmpeg_cli.io_utils.glob.glob") as mock_glob:
mock_glob.return_value = [
str(tmp_path / "file1.txt"),
str(tmp_path / "file2.txt"),
]
result = expand_globs(["*.txt"])
assert len(result) == 2
assert Path("file1.txt").name in [p.name for p in result]
assert Path("file2.txt").name in [p.name for p in result]
mock_glob.assert_called_once_with("*.txt", recursive=True)
def test_expand_multiple_patterns(self, tmp_path):
"""Test expanding multiple glob patterns."""
with patch("ai_ffmpeg_cli.io_utils.glob.glob") as mock_glob:
# Mock different returns for different patterns
def mock_glob_side_effect(pattern, recursive=True):
if pattern == "*.txt":
return [str(tmp_path / "file.txt")]
elif pattern == "*.log":
return [str(tmp_path / "file.log")]
return []
mock_glob.side_effect = mock_glob_side_effect
result = expand_globs(["*.txt", "*.log"])
assert len(result) == 2
names = [p.name for p in result]
assert "file.txt" in names
assert "file.log" in names
def test_expand_no_matches(self):
"""Test expanding pattern with no matches."""
with patch("ai_ffmpeg_cli.io_utils.glob.glob", return_value=[]):
result = expand_globs(["*.nonexistent"])
assert result == []
def test_expand_empty_patterns(self):
"""Test expanding empty pattern list."""
result = expand_globs([])
assert result == []
def test_expand_recursive_pattern(self, tmp_path):
"""Test expanding recursive glob patterns."""
with patch("ai_ffmpeg_cli.io_utils.glob.glob") as mock_glob:
mock_glob.return_value = [
str(tmp_path / "dir1" / "file.txt"),
str(tmp_path / "dir2" / "file.txt"),
]
result = expand_globs(["**/file.txt"])
assert len(result) == 2
mock_glob.assert_called_once_with("**/file.txt", recursive=True)
def test_expand_duplicate_removal(self, tmp_path):
"""Test that duplicate paths are removed."""
duplicate_path = str(tmp_path / "duplicate.txt")
with patch("ai_ffmpeg_cli.io_utils.glob.glob") as mock_glob:
# Return same file from different patterns
def mock_glob_side_effect(pattern, recursive=True):
return [duplicate_path]
mock_glob.side_effect = mock_glob_side_effect
result = expand_globs(["*.txt", "duplicate.*"])
# Should only appear once despite matching multiple patterns
assert len(result) == 1
assert result[0].name == "duplicate.txt"
def test_expand_absolute_paths(self):
"""Test that returned paths are absolute."""
with patch("ai_ffmpeg_cli.io_utils.glob.glob") as mock_glob:
mock_glob.return_value = ["relative/path.txt"]
result = expand_globs(["*.txt"])
assert len(result) == 1
assert result[0].is_absolute()
class TestMostRecentFile:
"""Test most recent file detection."""
def test_most_recent_single_file(self, tmp_path):
"""Test with single file."""
file1 = tmp_path / "file1.txt"
file1.touch()
result = most_recent_file([file1])
assert result == file1
def test_most_recent_multiple_files(self, tmp_path):
"""Test with multiple files of different ages."""
import time
file1 = tmp_path / "old.txt"
file1.touch()
# Ensure different modification times
time.sleep(0.01)
file2 = tmp_path / "new.txt"
file2.touch()
result = most_recent_file([file1, file2])
assert result == file2
def test_most_recent_empty_list(self):
"""Test with empty file list."""
result = most_recent_file([])
assert result is None
def test_most_recent_nonexistent_files(self, tmp_path):
"""Test with nonexistent files."""
nonexistent1 = tmp_path / "nonexistent1.txt"
nonexistent2 = tmp_path / "nonexistent2.txt"
result = most_recent_file([nonexistent1, nonexistent2])
assert result is None
def test_most_recent_mixed_existing_nonexisting(self, tmp_path):
"""Test with mix of existing and nonexistent files."""
existing = tmp_path / "existing.txt"
existing.touch()
nonexistent = tmp_path / "nonexistent.txt"
result = most_recent_file([existing, nonexistent])
assert result == existing
def test_most_recent_same_modification_time(self, tmp_path):
"""Test with files having same modification time."""
file1 = tmp_path / "file1.txt"
file2 = tmp_path / "file2.txt"
# Create files with same content and time
file1.touch()
file2.touch()
# Set same modification time
import os
stat = file1.stat()
os.utime(file2, (stat.st_atime, stat.st_mtime))
result = most_recent_file([file1, file2])
# Should return one of them (implementation dependent)
assert result in [file1, file2]
class TestIsSafePath:
"""Test path safety validation."""
def test_safe_relative_paths(self):
"""Test safe relative paths."""
safe_paths = [
"file.txt",
"dir/file.txt",
"dir/subdir/file.txt",
Path("file.txt"),
Path("dir/file.txt"),
]
for path in safe_paths:
assert is_safe_path(path) is True
def test_safe_absolute_paths(self):
"""Test safe absolute paths."""
safe_paths = [
"/home/user/file.txt",
"/tmp/file.txt",
"/var/log/file.txt",
Path("/home/user/file.txt"),
]
for path in safe_paths:
assert is_safe_path(path) is True
def test_unsafe_root_paths(self):
"""Test unsafe root paths."""
unsafe_paths = [
"/",
"\\", # Windows root
Path("/"),
Path("\\"),
]
for path in unsafe_paths:
assert is_safe_path(path) is False
def test_unsafe_empty_paths(self):
"""Test unsafe empty paths."""
unsafe_paths = [
"",
" ", # Whitespace only
"\t\n", # Various whitespace
]
for path in unsafe_paths:
assert is_safe_path(path) is False
def test_path_conversion_error(self):
"""Test handling of path conversion errors."""
# Mock an object that raises exception when converted to string
class BadPath:
def __str__(self):
raise ValueError("Cannot convert to string")
result = is_safe_path(BadPath())
assert result is False
def test_various_path_types(self):
"""Test different path object types."""
import os
# Test string paths
assert is_safe_path("normal/path.txt") is True
# Test Path objects
assert is_safe_path(Path("normal/path.txt")) is True
# Test with various string representations
assert is_safe_path(b"bytes/path.txt".decode()) is True
def test_edge_case_paths(self):
"""Test edge case paths."""
edge_cases = [
".", # Current directory - should be safe
"..", # Parent directory - should be safe
"./file.txt", # Explicit current directory
"../file.txt", # Parent directory file
"dir/../file.txt", # Path with parent reference
]
for path in edge_cases:
# These should be considered safe for general file operations
assert is_safe_path(path) is True
class TestEnsureParentDir:
"""Test parent directory creation."""
def test_ensure_existing_parent(self, tmp_path):
"""Test with existing parent directory."""
file_path = tmp_path / "existing" / "file.txt"
# Create parent directory first
(tmp_path / "existing").mkdir()
# Should not raise exception
ensure_parent_dir(file_path)
assert (tmp_path / "existing").exists()
def test_ensure_nonexistent_parent(self, tmp_path):
"""Test creating nonexistent parent directory."""
file_path = tmp_path / "new_dir" / "file.txt"
ensure_parent_dir(file_path)
assert (tmp_path / "new_dir").exists()
assert (tmp_path / "new_dir").is_dir()
def test_ensure_nested_parent_dirs(self, tmp_path):
"""Test creating nested parent directories."""
file_path = tmp_path / "level1" / "level2" / "level3" / "file.txt"
ensure_parent_dir(file_path)
assert (tmp_path / "level1").exists()
assert (tmp_path / "level1" / "level2").exists()
assert (tmp_path / "level1" / "level2" / "level3").exists()
def test_ensure_parent_no_parent(self, tmp_path):
"""Test with file that has no parent directory."""
# File in root-like location
file_path = Path("file.txt") # No parent
# Should not raise exception
ensure_parent_dir(file_path)
def test_ensure_parent_root_file(self):
"""Test with file at filesystem root."""
file_path = Path("/file.txt")
# Should not raise exception (parent is root)
ensure_parent_dir(file_path)
def test_ensure_parent_already_exists_as_file(self, tmp_path):
"""Test when parent path exists as file (should skip)."""
# Create a file where we want a directory
blocking_file = tmp_path / "blocking_file"
blocking_file.touch()
file_path = tmp_path / "blocking_file" / "subfile.txt"
# The current implementation may not raise an exception
# Let's test that it handles this case gracefully
try:
ensure_parent_dir(file_path)
# If no exception, that's also acceptable behavior
except (FileExistsError, OSError, FileNotFoundError):
# These exceptions are expected in this edge case
pass
def test_ensure_parent_permission_error(self, tmp_path):
"""Test handling permission errors."""
# This is harder to test reliably across platforms
# Would require setting up permission restrictions
# For now, just ensure the function exists and basic case works
file_path = tmp_path / "normal" / "file.txt"
ensure_parent_dir(file_path)
assert (tmp_path / "normal").exists()

38
tests/test_llm_client.py Normal file
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import json
from ai_ffmpeg_cli.llm_client import LLMClient
from ai_ffmpeg_cli.llm_client import LLMProvider
from ai_ffmpeg_cli.nl_schema import Action
from ai_ffmpeg_cli.nl_schema import FfmpegIntent
class DummyProvider(LLMProvider):
def __init__(self, payloads):
self.payloads = payloads
self.calls = 0
def complete(self, system: str, user: str, timeout: int) -> str:
idx = min(self.calls, len(self.payloads) - 1)
self.calls += 1
return self.payloads[idx]
def test_llm_parse_success():
intent = {
"action": "convert",
"inputs": ["input.mov"],
}
provider = DummyProvider([json.dumps(intent)])
client = LLMClient(provider)
parsed = client.parse("convert", {"cwd": "."})
assert isinstance(parsed, FfmpegIntent)
assert parsed.action == Action.convert
def test_llm_parse_repair_loop():
bad = "not json"
good = json.dumps({"action": "extract_audio", "inputs": ["demo.mp4"]})
provider = DummyProvider([bad, good])
client = LLMClient(provider)
parsed = client.parse("extract", {})
assert parsed.action == Action.extract_audio

204
tests/test_main.py Normal file
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"""Tests for main.py CLI entry point."""
import os
from pathlib import Path
from unittest.mock import Mock, patch
import pytest
import typer
from ai_ffmpeg_cli.main import _make_llm, app, main
from ai_ffmpeg_cli.errors import ConfigError
class TestMakeLLM:
"""Test LLM client creation."""
def test_make_llm_success(self):
"""Test successful LLM client creation."""
from ai_ffmpeg_cli.config import AppConfig
config = AppConfig(openai_api_key="test-key", model="gpt-4o")
client = _make_llm(config)
assert client is not None
assert client.provider.model == "gpt-4o"
def test_make_llm_no_api_key(self):
"""Test LLM client creation fails without API key."""
from ai_ffmpeg_cli.config import AppConfig
config = AppConfig(openai_api_key=None)
with pytest.raises(ConfigError, match="OPENAI_API_KEY is required"):
_make_llm(config)
class TestMainCLI:
"""Test main CLI functionality."""
@patch("ai_ffmpeg_cli.main.load_config")
@patch("ai_ffmpeg_cli.main.scan")
@patch("ai_ffmpeg_cli.main._make_llm")
@patch("ai_ffmpeg_cli.main.route_intent")
@patch("ai_ffmpeg_cli.main.build_commands")
@patch("ai_ffmpeg_cli.main.confirm_prompt")
@patch("ai_ffmpeg_cli.executor.run")
@patch("ai_ffmpeg_cli.executor.preview")
def test_one_shot_mode_success(
self,
mock_preview,
mock_run,
mock_confirm,
mock_build,
mock_route,
mock_make_llm,
mock_scan,
mock_load_config,
):
"""Test one-shot mode with successful execution."""
from ai_ffmpeg_cli.config import AppConfig
from ai_ffmpeg_cli.nl_schema import FfmpegIntent, Action
# Setup mocks
config = AppConfig(openai_api_key="test-key", dry_run=False)
mock_load_config.return_value = config
mock_scan.return_value = {"cwd": "/test"}
mock_client = Mock()
mock_intent = FfmpegIntent(action=Action.convert, inputs=[Path("test.mp4")])
mock_client.parse.return_value = mock_intent
mock_make_llm.return_value = mock_client
mock_plan = Mock()
mock_route.return_value = mock_plan
mock_commands = [["ffmpeg", "-i", "test.mp4", "output.mp4"]]
mock_build.return_value = mock_commands
mock_confirm.return_value = True
mock_run.return_value = 0
# Test - call main function directly, not through typer context
with pytest.raises(typer.Exit) as exc_info:
main(
None,
prompt="convert test.mp4",
yes=False,
model=None,
dry_run=None,
timeout=60,
verbose=False,
)
assert exc_info.value.exit_code == 0
mock_preview.assert_called_once()
mock_confirm.assert_called_once()
mock_run.assert_called_once()
@patch("ai_ffmpeg_cli.main.load_config")
@patch("ai_ffmpeg_cli.main.scan")
@patch("ai_ffmpeg_cli.main._make_llm")
def test_one_shot_mode_parse_error(
self, mock_make_llm, mock_scan, mock_load_config
):
"""Test one-shot mode with parsing error."""
from ai_ffmpeg_cli.config import AppConfig
from ai_ffmpeg_cli.errors import ParseError
# Setup mocks
config = AppConfig(openai_api_key="test-key")
mock_load_config.return_value = config
mock_scan.return_value = {"cwd": "/test"}
mock_client = Mock()
mock_client.parse.side_effect = ParseError("Parse failed")
mock_make_llm.return_value = mock_client
# Test
with pytest.raises(typer.Exit) as exc_info:
main(
None,
prompt="invalid prompt",
yes=False,
model=None,
dry_run=None,
timeout=60,
verbose=False,
)
assert exc_info.value.exit_code == 1
@patch("ai_ffmpeg_cli.main.load_config")
def test_config_error(self, mock_load_config):
"""Test configuration error handling."""
from ai_ffmpeg_cli.errors import ConfigError
mock_load_config.side_effect = ConfigError("Config failed")
with pytest.raises(typer.Exit) as exc_info:
main(
None,
prompt="test",
yes=False,
model=None,
dry_run=None,
timeout=60,
verbose=False,
)
assert exc_info.value.exit_code == 1
def test_model_parameter_validation(self):
"""Test that model parameter validation works."""
# This is a simpler test that doesn't require complex mocking
valid_models = ["gpt-4o", "gpt-4o-mini", "gpt-3.5-turbo"]
# Test that these are valid model names (basic validation)
for model in valid_models:
assert isinstance(model, str)
assert len(model) > 0
def test_timeout_parameter_validation(self):
"""Test that timeout parameter is properly typed."""
# Basic validation test
timeout = 60
assert isinstance(timeout, int)
assert timeout > 0
class TestNLCommand:
"""Test nl subcommand functionality."""
def test_nl_command_exists(self):
"""Test that nl command exists in app."""
from ai_ffmpeg_cli.main import nl
# Basic test that function exists and is callable
assert callable(nl)
def test_interactive_exit_commands(self):
"""Test that exit commands are recognized."""
exit_commands = ["exit", "quit", "q"]
for cmd in exit_commands:
# Test that these are recognized as exit commands
assert cmd.lower() in ["exit", "quit", "q"]
class TestExplainCommand:
"""Test explain subcommand."""
def test_explain_no_command(self):
"""Test explain without command."""
from ai_ffmpeg_cli.main import explain
with pytest.raises(typer.Exit) as exc_info:
explain(None)
assert exc_info.value.exit_code == 2
def test_explain_with_command(self):
"""Test explain with command (not implemented)."""
from ai_ffmpeg_cli.main import explain
# Should not raise exception, just prints message
explain("ffmpeg -i input.mp4 output.mp4")

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"""Comprehensive tests for nl_schema.py data models and validation."""
from pathlib import Path
import pytest
from pydantic import ValidationError
from ai_ffmpeg_cli.nl_schema import (
Action,
CommandEntry,
CommandPlan,
FfmpegIntent,
_seconds_to_timestamp,
)
class TestSecondsToTimestamp:
"""Test timestamp conversion function."""
def test_convert_integer_seconds(self):
"""Test converting integer seconds."""
assert _seconds_to_timestamp(0) == "00:00:00"
assert _seconds_to_timestamp(30) == "00:00:30"
assert _seconds_to_timestamp(90) == "00:01:30"
assert _seconds_to_timestamp(3661) == "01:01:01"
def test_convert_float_seconds(self):
"""Test converting float seconds."""
assert _seconds_to_timestamp(30.5) == "00:00:30.500"
assert _seconds_to_timestamp(90.123) == "00:01:30.123"
assert _seconds_to_timestamp(0.001) == "00:00:00.001"
assert _seconds_to_timestamp(3661.999) == "01:01:01.999"
def test_convert_string_seconds(self):
"""Test converting string seconds."""
assert _seconds_to_timestamp("30") == "00:00:30"
assert _seconds_to_timestamp("30.5") == "00:00:30.500"
assert _seconds_to_timestamp("90") == "00:01:30"
def test_convert_invalid_string(self):
"""Test converting invalid string."""
# Should return the string as-is if can't convert
assert _seconds_to_timestamp("invalid") == "invalid"
assert _seconds_to_timestamp("00:30:00") == "00:30:00" # Already formatted
def test_convert_large_values(self):
"""Test converting large time values."""
# 25 hours, 30 minutes, 45 seconds
large_seconds = 25 * 3600 + 30 * 60 + 45
assert _seconds_to_timestamp(large_seconds) == "25:30:45"
def test_convert_edge_cases(self):
"""Test edge cases."""
assert _seconds_to_timestamp(0.0) == "00:00:00"
assert _seconds_to_timestamp(59.999) == "00:00:59.999"
assert _seconds_to_timestamp(60) == "00:01:00"
class TestAction:
"""Test Action enum."""
def test_action_values(self):
"""Test all action values."""
expected_actions = {
"convert",
"extract_audio",
"remove_audio",
"trim",
"segment",
"thumbnail",
"frames",
"compress",
"overlay",
}
actual_actions = {action.value for action in Action}
assert actual_actions == expected_actions
def test_action_string_representation(self):
"""Test action string representation."""
assert Action.convert.value == "convert"
assert Action.extract_audio.value == "extract_audio"
assert Action.overlay.value == "overlay"
class TestFfmpegIntent:
"""Test FfmpegIntent model validation."""
def test_basic_intent_creation(self):
"""Test creating basic intent."""
intent = FfmpegIntent(action=Action.convert, inputs=[Path("input.mp4")])
assert intent.action == Action.convert
assert len(intent.inputs) == 1
assert intent.inputs[0] == Path("input.mp4")
assert intent.output is None
assert intent.filters == []
assert intent.extra_flags == []
def test_intent_with_all_fields(self):
"""Test creating intent with all fields."""
intent = FfmpegIntent(
action=Action.convert,
inputs=[Path("input.mp4")],
output=Path("output.mp4"),
video_codec="libx264",
audio_codec="aac",
filters=["scale=720:480"],
start="00:00:10",
end="00:01:00",
duration=50.0,
scale="1280:720",
bitrate="2000k",
crf=23,
overlay_path=Path("logo.png"),
overlay_xy="10:10",
fps="30",
glob="*.mp4",
extra_flags=["-y"],
)
assert intent.action == Action.convert
assert intent.video_codec == "libx264"
assert intent.audio_codec == "aac"
assert intent.filters == ["scale=720:480"]
assert intent.start == "00:00:10"
assert intent.end == "00:01:00"
assert intent.duration == 50.0
assert intent.scale == "1280:720"
assert intent.bitrate == "2000k"
assert intent.crf == 23
assert intent.overlay_path == Path("logo.png")
assert intent.overlay_xy == "10:10"
assert intent.fps == "30"
assert intent.glob == "*.mp4"
assert intent.extra_flags == ["-y"]
def test_input_coercion_scalar_to_list(self):
"""Test that scalar inputs are coerced to list."""
intent = FfmpegIntent(
action=Action.convert,
inputs=Path("single_input.mp4"), # Single Path, not list
)
assert isinstance(intent.inputs, list)
assert len(intent.inputs) == 1
assert intent.inputs[0] == Path("single_input.mp4")
def test_filters_coercion_scalar_to_list(self):
"""Test that scalar filters are coerced to list."""
intent = FfmpegIntent(
action=Action.convert,
inputs=[Path("input.mp4")],
filters="scale=720:480", # Single string, not list
)
assert isinstance(intent.filters, list)
assert intent.filters == ["scale=720:480"]
def test_extra_flags_coercion_scalar_to_list(self):
"""Test that scalar extra_flags are coerced to list."""
intent = FfmpegIntent(
action=Action.convert,
inputs=[Path("input.mp4")],
extra_flags="-y", # Single string, not list
)
assert isinstance(intent.extra_flags, list)
assert intent.extra_flags == ["-y"]
def test_timestamp_coercion_start(self):
"""Test that numeric start times are converted to timestamps."""
intent = FfmpegIntent(
action=Action.trim,
inputs=[Path("input.mp4")],
start=30.5, # Numeric seconds
)
assert intent.start == "00:00:30.500"
def test_timestamp_coercion_end(self):
"""Test that numeric end times are converted to timestamps."""
intent = FfmpegIntent(
action=Action.trim, inputs=[Path("input.mp4")], end=90 # Numeric seconds
)
assert intent.end == "00:01:30"
def test_overlay_validation_success(self):
"""Test successful overlay validation."""
intent = FfmpegIntent(
action=Action.overlay,
inputs=[Path("video.mp4")],
overlay_path=Path("logo.png"),
)
assert intent.action == Action.overlay
assert intent.overlay_path == Path("logo.png")
def test_overlay_validation_missing_path(self):
"""Test overlay validation fails without overlay_path."""
with pytest.raises(ValidationError, match="overlay requires overlay_path"):
FfmpegIntent(
action=Action.overlay,
inputs=[Path("video.mp4")],
# Missing overlay_path
)
def test_trim_validation_with_duration(self):
"""Test trim validation with duration."""
intent = FfmpegIntent(
action=Action.trim, inputs=[Path("input.mp4")], duration=30.0
)
assert intent.duration == 30.0
def test_trim_validation_with_start_end(self):
"""Test trim validation with start and end."""
intent = FfmpegIntent(
action=Action.trim,
inputs=[Path("input.mp4")],
start="00:00:10",
end="00:01:00",
)
assert intent.start == "00:00:10"
assert intent.end == "00:01:00"
def test_trim_validation_missing_timing(self):
"""Test trim validation fails without timing information."""
with pytest.raises(ValidationError, match="trim/segment requires"):
FfmpegIntent(
action=Action.trim,
inputs=[Path("input.mp4")],
# Missing duration, start, and end
)
def test_segment_validation_success(self):
"""Test successful segment validation."""
intent = FfmpegIntent(
action=Action.segment,
inputs=[Path("input.mp4")],
start="00:00:10",
duration=30.0,
)
assert intent.action == Action.segment
assert intent.start == "00:00:10"
assert intent.duration == 30.0
def test_segment_validation_missing_timing(self):
"""Test segment validation fails without timing."""
with pytest.raises(ValidationError, match="trim/segment requires"):
FfmpegIntent(action=Action.segment, inputs=[Path("input.mp4")])
def test_convert_validation_success(self):
"""Test successful convert validation."""
intent = FfmpegIntent(action=Action.convert, inputs=[Path("input.mp4")])
assert intent.action == Action.convert
assert len(intent.inputs) == 1
def test_convert_validation_no_inputs(self):
"""Test convert validation fails without inputs."""
with pytest.raises(
ValidationError, match="convert/compress requires at least one input"
):
FfmpegIntent(action=Action.convert, inputs=[])
def test_compress_validation_success(self):
"""Test successful compress validation."""
intent = FfmpegIntent(
action=Action.compress, inputs=[Path("input.mp4")], crf=28
)
assert intent.action == Action.compress
assert intent.crf == 28
def test_compress_validation_no_inputs(self):
"""Test compress validation fails without inputs."""
with pytest.raises(
ValidationError, match="convert/compress requires at least one input"
):
FfmpegIntent(action=Action.compress, inputs=[])
def test_extract_audio_validation_success(self):
"""Test successful extract_audio validation."""
intent = FfmpegIntent(action=Action.extract_audio, inputs=[Path("input.mp4")])
assert intent.action == Action.extract_audio
def test_extract_audio_validation_no_inputs(self):
"""Test extract_audio validation fails without inputs."""
with pytest.raises(
ValidationError, match="extract_audio requires an input file"
):
FfmpegIntent(action=Action.extract_audio, inputs=[])
def test_thumbnail_fps_incompatibility(self):
"""Test that thumbnail and fps are incompatible."""
with pytest.raises(ValidationError, match="thumbnail is incompatible with fps"):
FfmpegIntent(action=Action.thumbnail, inputs=[Path("input.mp4")], fps="30")
def test_intent_with_glob_pattern(self):
"""Test intent with glob pattern."""
# For convert action, we need at least one input, so let's use a different action
intent = FfmpegIntent(
action=Action.thumbnail, # This doesn't require inputs validation
inputs=[Path("video.mp4")],
glob="*.mov",
)
assert intent.glob == "*.mov"
assert len(intent.inputs) == 1
class TestCommandEntry:
"""Test CommandEntry model."""
def test_basic_command_entry(self):
"""Test creating basic command entry."""
entry = CommandEntry(input=Path("input.mp4"), output=Path("output.mp4"))
assert entry.input == Path("input.mp4")
assert entry.output == Path("output.mp4")
assert entry.args == []
assert entry.extra_inputs == []
def test_command_entry_with_args(self):
"""Test command entry with arguments."""
entry = CommandEntry(
input=Path("input.mp4"),
output=Path("output.mp4"),
args=["-c:v", "libx264", "-c:a", "aac"],
)
assert entry.args == ["-c:v", "libx264", "-c:a", "aac"]
def test_command_entry_with_extra_inputs(self):
"""Test command entry with extra inputs."""
entry = CommandEntry(
input=Path("video.mp4"),
output=Path("output.mp4"),
extra_inputs=[Path("logo.png"), Path("audio.mp3")],
)
assert len(entry.extra_inputs) == 2
assert Path("logo.png") in entry.extra_inputs
assert Path("audio.mp3") in entry.extra_inputs
class TestCommandPlan:
"""Test CommandPlan model."""
def test_basic_command_plan(self):
"""Test creating basic command plan."""
entry = CommandEntry(
input=Path("input.mp4"), output=Path("output.mp4"), args=["-c:v", "libx264"]
)
plan = CommandPlan(summary="Convert 1 file to MP4 H264", entries=[entry])
assert plan.summary == "Convert 1 file to MP4 H264"
assert len(plan.entries) == 1
assert plan.entries[0] == entry
def test_command_plan_multiple_entries(self):
"""Test command plan with multiple entries."""
entries = [
CommandEntry(input=Path("input1.mp4"), output=Path("output1.mp4")),
CommandEntry(input=Path("input2.mp4"), output=Path("output2.mp4")),
]
plan = CommandPlan(summary="Convert 2 files to MP4", entries=entries)
assert len(plan.entries) == 2
assert plan.entries[0].input == Path("input1.mp4")
assert plan.entries[1].input == Path("input2.mp4")
def test_empty_command_plan(self):
"""Test command plan with no entries."""
plan = CommandPlan(summary="No operations", entries=[])
assert plan.summary == "No operations"
assert plan.entries == []
class TestModelIntegration:
"""Test integration between models."""
def test_full_workflow_models(self):
"""Test complete workflow with all models."""
# Create intent
intent = FfmpegIntent(
action=Action.overlay,
inputs=[Path("video.mp4")],
overlay_path=Path("logo.png"),
overlay_xy="10:10",
)
# Create command entry
entry = CommandEntry(
input=Path("video.mp4"),
output=Path("output.mp4"),
args=["-filter_complex", "overlay=10:10"],
extra_inputs=[Path("logo.png")],
)
# Create plan
plan = CommandPlan(summary="Overlay logo.png on 1 file(s)", entries=[entry])
# Verify all models work together
assert intent.action == Action.overlay
assert entry.extra_inputs[0] == intent.overlay_path
assert len(plan.entries) == 1
assert plan.entries[0] == entry