8275f3a71b
Full backend service with: - FastAPI REST API with CRUD, search, reprocess endpoints - PostgreSQL + pgvector for items and semantic search - Redis + RQ for background job processing - Meilisearch for fast keyword/filter search - Browserless/Chrome for JS rendering and screenshots - OpenAI structured output for AI classification - Local file storage with S3-ready abstraction - Gateway auth via X-Gateway-User-Id header - Own docker-compose stack (6 containers) Classification: fixed folders (Home/Family/Work/Travel/Knowledge/Faith/Projects) and fixed tags (28 predefined). AI assigns exactly 1 folder, 2-3 tags, title, summary, and confidence score per item. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
19 lines
528 B
Python
19 lines
528 B
Python
"""Database session and engine setup."""
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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 app.config import DATABASE_URL
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engine = create_async_engine(DATABASE_URL, echo=False, pool_size=10, max_overflow=5)
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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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yield session
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