mirror of
https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git
synced 2026-06-18 07:19:35 +00:00
43 lines
1.2 KiB
Python
43 lines
1.2 KiB
Python
from sqlalchemy.ext.asyncio import AsyncSession, create_async_engine, async_sessionmaker
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from sqlalchemy.orm import DeclarativeBase
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from sqlalchemy import event, text
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from app.config import get_settings
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settings = get_settings()
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engine = create_async_engine(
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settings.DATABASE_URL,
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echo=settings.DEBUG,
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pool_size=20,
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max_overflow=10,
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pool_pre_ping=True,
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)
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async_session = async_sessionmaker(engine, class_=AsyncSession, expire_on_commit=False)
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class Base(DeclarativeBase):
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pass
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async def get_db() -> AsyncSession:
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async with async_session() as session:
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try:
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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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async def init_db():
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"""Initialize database extensions and create tables."""
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async with engine.begin() as conn:
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# Enable pgvector extension for RAG embeddings
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await conn.execute(text("CREATE EXTENSION IF NOT EXISTS vector"))
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await conn.execute(text("CREATE EXTENSION IF NOT EXISTS pg_trgm"))
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# Create all tables
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await conn.run_sync(Base.metadata.create_all)
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