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104 lines
4.2 KiB
Python
104 lines
4.2 KiB
Python
from uuid import UUID
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from typing import Optional
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from cognee.infrastructure.databases.graph.config import get_graph_config
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from cognee.infrastructure.databases.graph.get_graph_engine import (
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create_graph_engine,
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evict_graph_engines_for_database,
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)
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from cognee.infrastructure.databases.postgres import (
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create_pg_database_if_not_exists,
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drop_pg_database_if_exists,
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)
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from cognee.modules.users.models import User, DatasetDatabase
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class PostgresGraphDatasetDatabaseHandler:
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"""Handler for per-dataset Postgres graph databases."""
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@classmethod
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async def create_dataset(cls, dataset_id: Optional[UUID], user: Optional[User]) -> dict:
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graph_config = get_graph_config()
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if graph_config.graph_database_provider != "postgres":
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raise ValueError(
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"PostgresGraphDatasetDatabaseHandler can only be used "
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"with postgres graph database provider."
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)
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graph_db_name = f"{dataset_id}"
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await create_pg_database_if_not_exists(
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graph_db_name,
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host=graph_config.graph_database_host,
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port=graph_config.graph_database_port,
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username=graph_config.graph_database_username,
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password=graph_config.graph_database_password,
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)
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engine = create_graph_engine(
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graph_database_provider="postgres",
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graph_file_path="",
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graph_database_name=graph_db_name,
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graph_database_username=graph_config.graph_database_username,
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graph_database_password=graph_config.graph_database_password,
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graph_database_host=graph_config.graph_database_host,
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graph_database_port=graph_config.graph_database_port,
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)
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await engine.initialize()
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return {
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"graph_database_provider": "postgres",
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"graph_database_url": "",
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"graph_database_name": graph_db_name,
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"graph_database_key": graph_config.graph_database_key,
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"graph_dataset_database_handler": "postgres_graph",
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"graph_database_connection_info": {
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"graph_database_host": graph_config.graph_database_host,
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"graph_database_port": graph_config.graph_database_port,
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},
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}
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@classmethod
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async def resolve_dataset_connection_info(
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cls, dataset_database: DatasetDatabase
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) -> DatasetDatabase:
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# Credentials are never persisted in the DB; pull them from the live graph config.
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graph_config = get_graph_config()
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dataset_database.graph_database_connection_info["graph_database_username"] = (
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graph_config.graph_database_username
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)
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dataset_database.graph_database_connection_info["graph_database_password"] = (
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graph_config.graph_database_password
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)
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return dataset_database
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@classmethod
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async def delete_dataset(cls, dataset_database: DatasetDatabase) -> None:
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dataset_database = await cls.resolve_dataset_connection_info(dataset_database)
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info = dataset_database.graph_database_connection_info
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host = info.get("graph_database_host", "")
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port = info.get("graph_database_port", "")
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username = info.get("graph_database_username", "")
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password = info.get("graph_database_password", "")
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db_name = dataset_database.graph_database_name
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await drop_pg_database_if_exists(
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db_name,
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host=host,
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port=port,
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username=username,
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password=password,
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)
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# The pipeline caches its engine for this database under a context-config
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# key (per-dataset graph_file_path, postgres_graph handler) that differs
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# from this handler's creation key, so evict by database name. Evict AFTER
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# the drop: an engine resolved concurrently during the drop's awaits would
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# be re-cached and survive a pre-drop eviction. Post-drop nothing stale can
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# persist — engines connect lazily, so an entry cached even after this
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# eviction holds no dead connections and either reaches the recreated
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# database or fails fast on a nonexistent one.
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evict_graph_engines_for_database(db_name)
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