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>
12 lines
206 B
Plaintext
12 lines
206 B
Plaintext
fastapi==0.115.6
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uvicorn[standard]==0.34.0
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sqlalchemy[asyncio]==2.0.36
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asyncpg==0.30.0
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pgvector==0.3.6
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psycopg2-binary==2.9.10
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redis==5.2.1
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rq==2.1.0
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httpx==0.28.1
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pydantic==2.10.4
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python-multipart==0.0.20
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