mirror of
https://github.com/basicmachines-co/basic-memory
synced 2026-06-21 13:47:35 +00:00
10c7c19c03
Signed-off-by: phernandez <paul@basicmachines.co>
359 lines
13 KiB
Python
359 lines
13 KiB
Python
import asyncio
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import os
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from contextlib import asynccontextmanager
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from enum import Enum, auto
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from pathlib import Path
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from typing import AsyncGenerator, Optional
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from basic_memory.config import BasicMemoryConfig, ConfigManager, DatabaseBackend
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from alembic import command
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from alembic.config import Config
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from loguru import logger
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from sqlalchemy import text, event
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from sqlalchemy.ext.asyncio import (
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create_async_engine,
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async_sessionmaker,
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AsyncSession,
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AsyncEngine,
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async_scoped_session,
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)
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from sqlalchemy.pool import NullPool
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from basic_memory.repository.postgres_search_repository import PostgresSearchRepository
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from basic_memory.repository.sqlite_search_repository import SQLiteSearchRepository
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# Module level state
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_engine: Optional[AsyncEngine] = None
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_session_maker: Optional[async_sessionmaker[AsyncSession]] = None
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class DatabaseType(Enum):
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"""Types of supported databases."""
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MEMORY = auto()
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FILESYSTEM = auto()
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@classmethod
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def get_db_url(
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cls, db_path: Path, db_type: "DatabaseType", config: Optional[BasicMemoryConfig] = None
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) -> str:
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"""Get SQLAlchemy URL for database path.
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Args:
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db_path: Path to SQLite database file (ignored for Postgres)
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db_type: Type of database (MEMORY or FILESYSTEM)
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config: Optional config to check for database backend and URL
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Returns:
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SQLAlchemy connection URL
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"""
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# Load config if not provided
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if config is None:
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config = ConfigManager().config
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# Check if Postgres backend is configured
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if config.database_backend == DatabaseBackend.POSTGRES:
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if not config.database_url:
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raise ValueError("DATABASE_URL must be set when using Postgres backend")
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logger.info(f"Using Postgres database: {config.database_url}")
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return config.database_url
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# Default to SQLite
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if db_type == cls.MEMORY:
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logger.info("Using in-memory SQLite database")
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return "sqlite+aiosqlite://"
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return f"sqlite+aiosqlite:///{db_path}" # pragma: no cover
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def get_scoped_session_factory(
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session_maker: async_sessionmaker[AsyncSession],
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) -> async_scoped_session:
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"""Create a scoped session factory scoped to current task."""
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return async_scoped_session(session_maker, scopefunc=asyncio.current_task)
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@asynccontextmanager
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async def scoped_session(
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session_maker: async_sessionmaker[AsyncSession],
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) -> AsyncGenerator[AsyncSession, None]:
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"""
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Get a scoped session with proper lifecycle management.
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Args:
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session_maker: Session maker to create scoped sessions from
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"""
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factory = get_scoped_session_factory(session_maker)
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session = factory()
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try:
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# Only enable foreign keys for SQLite (Postgres has them enabled by default)
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# Detect database type from session's bind (engine) dialect
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engine = session.get_bind()
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dialect_name = engine.dialect.name
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if dialect_name == "sqlite":
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await session.execute(text("PRAGMA foreign_keys=ON"))
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yield session
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await session.commit()
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except Exception:
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await session.rollback()
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raise
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finally:
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await session.close()
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await factory.remove()
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def _configure_sqlite_connection(dbapi_conn, enable_wal: bool = True) -> None:
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"""Configure SQLite connection with WAL mode and optimizations.
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Args:
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dbapi_conn: Database API connection object
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enable_wal: Whether to enable WAL mode (should be False for in-memory databases)
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"""
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cursor = dbapi_conn.cursor()
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try:
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# Enable WAL mode for better concurrency (not supported for in-memory databases)
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if enable_wal:
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cursor.execute("PRAGMA journal_mode=WAL")
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# Set busy timeout to handle locked databases
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cursor.execute("PRAGMA busy_timeout=10000") # 10 seconds
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# Optimize for performance
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cursor.execute("PRAGMA synchronous=NORMAL")
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cursor.execute("PRAGMA cache_size=-64000") # 64MB cache
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cursor.execute("PRAGMA temp_store=MEMORY")
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# Windows-specific optimizations
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if os.name == "nt":
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cursor.execute("PRAGMA locking_mode=NORMAL") # Ensure normal locking on Windows
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except Exception as e:
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# Log but don't fail - some PRAGMAs may not be supported
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logger.warning(f"Failed to configure SQLite connection: {e}")
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finally:
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cursor.close()
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def _create_sqlite_engine(db_url: str, db_type: DatabaseType) -> AsyncEngine:
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"""Create SQLite async engine with appropriate configuration.
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Args:
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db_url: SQLite connection URL
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db_type: Database type (MEMORY or FILESYSTEM)
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Returns:
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Configured async engine for SQLite
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"""
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# Configure connection args with Windows-specific settings
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connect_args: dict[str, bool | float | None] = {"check_same_thread": False}
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# Add Windows-specific parameters to improve reliability
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if os.name == "nt": # Windows
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connect_args.update(
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{
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"timeout": 30.0, # Increase timeout to 30 seconds for Windows
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"isolation_level": None, # Use autocommit mode
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}
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)
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# Use NullPool for Windows filesystem databases to avoid connection pooling issues
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# Important: Do NOT use NullPool for in-memory databases as it will destroy the database
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# between connections
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if db_type == DatabaseType.FILESYSTEM:
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engine = create_async_engine(
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db_url,
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connect_args=connect_args,
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poolclass=NullPool, # Disable connection pooling on Windows
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echo=False,
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)
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else:
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# In-memory databases need connection pooling to maintain state
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engine = create_async_engine(db_url, connect_args=connect_args)
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else:
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engine = create_async_engine(db_url, connect_args=connect_args)
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# Enable WAL mode for better concurrency and reliability
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# Note: WAL mode is not supported for in-memory databases
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enable_wal = db_type != DatabaseType.MEMORY
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@event.listens_for(engine.sync_engine, "connect")
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def enable_wal_mode(dbapi_conn, connection_record):
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"""Enable WAL mode on each connection."""
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_configure_sqlite_connection(dbapi_conn, enable_wal=enable_wal)
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return engine
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def _create_postgres_engine(db_url: str) -> AsyncEngine:
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"""Create Postgres async engine with appropriate configuration.
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Args:
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db_url: Postgres connection URL (postgresql+asyncpg://...)
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Returns:
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Configured async engine for Postgres
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"""
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# Postgres with asyncpg - use standard async connection
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engine = create_async_engine(
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db_url,
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echo=False,
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pool_pre_ping=True, # Verify connections before using them
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)
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return engine
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def _create_engine_and_session(
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db_path: Path, db_type: DatabaseType = DatabaseType.FILESYSTEM
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) -> tuple[AsyncEngine, async_sessionmaker[AsyncSession]]:
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"""Internal helper to create engine and session maker.
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Args:
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db_path: Path to database file (used for SQLite, ignored for Postgres)
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db_type: Type of database (MEMORY or FILESYSTEM)
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Returns:
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Tuple of (engine, session_maker)
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"""
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config = ConfigManager().config
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db_url = DatabaseType.get_db_url(db_path, db_type, config)
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logger.debug(f"Creating engine for db_url: {db_url}")
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# Delegate to backend-specific engine creation
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if config.database_backend == DatabaseBackend.POSTGRES:
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engine = _create_postgres_engine(db_url)
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else:
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engine = _create_sqlite_engine(db_url, db_type)
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session_maker = async_sessionmaker(engine, expire_on_commit=False)
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return engine, session_maker
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async def get_or_create_db(
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db_path: Path,
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db_type: DatabaseType = DatabaseType.FILESYSTEM,
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ensure_migrations: bool = True,
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) -> tuple[AsyncEngine, async_sessionmaker[AsyncSession]]: # pragma: no cover
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"""Get or create database engine and session maker."""
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global _engine, _session_maker
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if _engine is None:
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_engine, _session_maker = _create_engine_and_session(db_path, db_type)
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# Run migrations automatically unless explicitly disabled
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if ensure_migrations:
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app_config = ConfigManager().config
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await run_migrations(app_config, db_type)
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# These checks should never fail since we just created the engine and session maker
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# if they were None, but we'll check anyway for the type checker
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if _engine is None:
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logger.error("Failed to create database engine", db_path=str(db_path))
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raise RuntimeError("Database engine initialization failed")
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if _session_maker is None:
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logger.error("Failed to create session maker", db_path=str(db_path))
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raise RuntimeError("Session maker initialization failed")
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return _engine, _session_maker
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async def shutdown_db() -> None: # pragma: no cover
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"""Clean up database connections."""
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global _engine, _session_maker
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if _engine:
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await _engine.dispose()
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_engine = None
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_session_maker = None
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@asynccontextmanager
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async def engine_session_factory(
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db_path: Path,
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db_type: DatabaseType = DatabaseType.MEMORY,
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) -> AsyncGenerator[tuple[AsyncEngine, async_sessionmaker[AsyncSession]], None]:
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"""Create engine and session factory.
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Note: This is primarily used for testing where we want a fresh database
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for each test. For production use, use get_or_create_db() instead.
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"""
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global _engine, _session_maker
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# Use the same helper function as production code
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_engine, _session_maker = _create_engine_and_session(db_path, db_type)
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try:
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# Verify that engine and session maker are initialized
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if _engine is None: # pragma: no cover
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logger.error("Database engine is None in engine_session_factory")
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raise RuntimeError("Database engine initialization failed")
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if _session_maker is None: # pragma: no cover
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logger.error("Session maker is None in engine_session_factory")
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raise RuntimeError("Session maker initialization failed")
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yield _engine, _session_maker
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finally:
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if _engine:
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await _engine.dispose()
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_engine = None
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_session_maker = None
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async def run_migrations(
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app_config: BasicMemoryConfig, database_type=DatabaseType.FILESYSTEM
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): # pragma: no cover
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"""Run any pending alembic migrations.
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Note: Alembic tracks which migrations have been applied via the alembic_version table,
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so it's safe to call this multiple times - it will only run pending migrations.
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"""
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logger.info("Running database migrations...")
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try:
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# Get the absolute path to the alembic directory relative to this file
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alembic_dir = Path(__file__).parent / "alembic"
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config = Config()
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# Set required Alembic config options programmatically
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config.set_main_option("script_location", str(alembic_dir))
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config.set_main_option(
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"file_template",
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"%%(year)d_%%(month).2d_%%(day).2d_%%(hour).2d%%(minute).2d-%%(rev)s_%%(slug)s",
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)
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config.set_main_option("timezone", "UTC")
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config.set_main_option("revision_environment", "false")
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# Get the correct database URL based on backend configuration
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db_url = DatabaseType.get_db_url(app_config.database_path, database_type, app_config)
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# For Postgres, Alembic needs synchronous driver (psycopg2), not async (asyncpg)
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if app_config.database_backend == DatabaseBackend.POSTGRES:
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# Convert asyncpg URL to psycopg2 URL for Alembic
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db_url = db_url.replace("postgresql+asyncpg://", "postgresql://")
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elif app_config.database_backend == DatabaseBackend.SQLITE:
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# Convert aiosqlite URL to pysqlite URL for Alembic
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db_url = db_url.replace("sqlite+aiosqlite://", "sqlite:///")
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config.set_main_option("sqlalchemy.url", db_url)
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command.upgrade(config, "head")
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logger.info("Migrations completed successfully")
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# Get session maker - ensure we don't trigger recursive migration calls
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if _session_maker is None:
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_, session_maker = _create_engine_and_session(app_config.database_path, database_type)
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else:
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session_maker = _session_maker
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# Initialize the search index schema
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# For SQLite: Create FTS5 virtual table
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# For Postgres: No-op (tsvector column added by migrations)
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# The project_id is not used for init_search_index, so we pass a dummy value
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if app_config.database_backend == DatabaseBackend.POSTGRES:
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await PostgresSearchRepository(session_maker, 1).init_search_index()
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else:
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await SQLiteSearchRepository(session_maker, 1).init_search_index()
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except Exception as e: # pragma: no cover
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logger.error(f"Error running migrations: {e}")
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raise
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