67 lines
2 KiB
Python
67 lines
2 KiB
Python
"""Database configuration and connection."""
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from pathlib import Path
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from contextlib import asynccontextmanager
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from sqlalchemy.ext.asyncio import create_async_engine, AsyncSession
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from sqlalchemy.orm import declarative_base, sessionmaker
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from dotenv import load_dotenv
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from cognitive_architecture.config import Config
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config = Config()
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load_dotenv()
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# in seconds
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MAX_RETRIES = 3
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RETRY_DELAY = 5
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def get_sqlalchemy_database_url(db_type='sqlite', db_name=config.db_name, base_path=config.db_path, user=config.db_user, password=config.db_password, host=config.db_host, port=config.db_port):
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"""Get the SQLAlchemy database URL based on parameters."""
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db_path = (Path(base_path) / db_name).absolute()
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if db_type == "sqlite":
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return f"sqlite+aiosqlite:///{db_path}" # SQLite uses file path
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elif db_type == "duckdb":
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return f"duckdb+aiosqlite:///{db_path}"
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elif db_type == "postgresql":
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# Ensure optional parameters are handled gracefully
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port_str = f":{port}" if port else ""
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password_str = f":{password}" if password else ""
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if not all([user, host]):
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raise ValueError("User and host are required for PostgreSQL connections.")
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return f"postgresql+asyncpg://{user}{password_str}@{host}{port_str}/{db_name}"
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else:
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raise ValueError(f"Unsupported DB_TYPE: {db_type}")
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# Example usage with a configuration file:
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# config = DatabaseConfig(config_file='path/to/config.json')
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# Or set them programmatically:
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SQLALCHEMY_DATABASE_URL = get_sqlalchemy_database_url()
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engine = create_async_engine(
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SQLALCHEMY_DATABASE_URL,
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pool_recycle=3600,
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echo=True, # Enable logging for tutorial purposes
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)
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# Use AsyncSession for the session
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AsyncSessionLocal = sessionmaker(
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bind=engine,
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class_=AsyncSession,
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expire_on_commit=False,
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)
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Base = declarative_base()
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@asynccontextmanager
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async def get_db():
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"""Provide a database session to the context."""
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db = AsyncSessionLocal()
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try:
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yield db
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finally:
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await db.close()
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