mirror of
https://github.com/getzep/graphiti.git
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895afc7be1
* chore: Add romeo runner * fix: Linter * wip * wip dump * chore: Update romeo parser * chore: Anthropic model fix * wip * allbirds * allbirds runner * format * wip * wip * mypy updates * update * remove r * update tests * format * wip * chore: Strategically update the message * rebase and fix import issues * Update package imports for graphiti_core in examples and utils * nits * chore: Update OpenAI GPT-4o model to gpt-4o-2024-08-06 * implement groq * improvments & linting * cleanup and nits * Refactor package imports for graphiti_core in examples and utils * Refactor package imports for graphiti_core in examples and utils * implement diskcache * remove debug stuff * log cache hit when debugging only * Improve LLM config. Fix bugs (#41) Refactor LLMConfig class to allow None values for model and base_url * chore: Resolve mc --------- Co-authored-by: paulpaliychuk <pavlo.paliychuk.ca@gmail.com> Co-authored-by: prestonrasmussen <prasmuss15@gmail.com>
100 lines
3.3 KiB
Python
100 lines
3.3 KiB
Python
"""
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Copyright 2024, Zep Software, Inc.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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"""
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import asyncio
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import logging
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import os
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import sys
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from datetime import datetime, timedelta
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from dotenv import load_dotenv
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from examples.presidential_debates.parser import get_debate_messages
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from graphiti_core import Graphiti
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from graphiti_core.llm_client.anthropic_client import AnthropicClient
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from graphiti_core.llm_client.config import LLMConfig
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from graphiti_core.utils.maintenance.graph_data_operations import clear_data
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load_dotenv()
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neo4j_uri = os.environ.get('NEO4J_URI') or 'bolt://localhost:7687'
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neo4j_user = os.environ.get('NEO4J_USER') or 'neo4j'
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neo4j_password = os.environ.get('NEO4J_PASSWORD') or 'password'
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def setup_logging():
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# Create a logger
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logger = logging.getLogger()
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logger.setLevel(logging.INFO) # Set the logging level to INFO
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# Create console handler and set level to INFO
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console_handler = logging.StreamHandler(sys.stdout)
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console_handler.setLevel(logging.INFO)
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# Create formatter
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formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
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# Add formatter to console handler
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console_handler.setFormatter(formatter)
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# Add console handler to logger
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logger.addHandler(console_handler)
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return logger
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async def main():
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setup_logging()
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llm_client = AnthropicClient(LLMConfig(api_key=os.environ.get('ANTHROPIC_API_KEY')))
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client = Graphiti(neo4j_uri, neo4j_user, neo4j_password, llm_client)
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messages = get_debate_messages()
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print(messages[:3])
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print(len(messages))
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# i need to create tuples from each 3 messages in the messages
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message_tuples = [messages[i : i + 5] for i in range(0, len(messages), 5)]
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# # neets to be october 3 2000
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now = datetime(2000, 10, 3)
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# episodes: list[BulkEpisode] = [
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# BulkEpisode(
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# name=f'Statement {i + 1}',
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# content=f"{episode['role']}: {episode['statement']}",
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# source_description='Bush Gore presidential_debates 2001',
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# episode_type='string',
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# reference_time=now + timedelta(seconds=i * 10),
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# )
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# for i, episode in enumerate(messages)
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# ]
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# await clear_data(client.driver)
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# await client.build_indices_and_constraints()
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# await client.add_episode_bulk(episodes)
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await clear_data(client.driver)
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await client.build_indices_and_constraints()
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for i, episode_list in enumerate(message_tuples[:4]):
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combined_roles_and_statements_str = ''.join(
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f"{episode['role']}: {episode['statement']}\n" for episode in episode_list
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)
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await client.add_episode(
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name=f'Statement {i + 1}',
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episode_body=combined_roles_and_statements_str,
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source_description='Bush Gore depate 2001',
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reference_time=now + timedelta(seconds=i * 10),
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)
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asyncio.run(main())
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