Brain service fully operational: - All 6 containers running - API responds on /api/health - Worker processes items (fetch, screenshot, classify, index) - Tested: link creation, background processing, asset archival Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
44 lines
1.2 KiB
Python
44 lines
1.2 KiB
Python
"""Brain service — FastAPI entrypoint."""
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import logging
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from fastapi import FastAPI
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from fastapi.middleware.cors import CORSMiddleware
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from app.api.routes import router
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from app.config import DEBUG
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logging.basicConfig(
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level=logging.DEBUG if DEBUG else logging.INFO,
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format="%(asctime)s %(levelname)s %(name)s: %(message)s",
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)
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app = FastAPI(
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title="Second Brain",
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description="Save everything. AI classifies it. Search it later.",
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version="1.0.0",
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docs_url="/api/docs" if DEBUG else None,
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redoc_url=None,
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)
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# No CORS — internal service only, accessed via gateway
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app.include_router(router)
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@app.on_event("startup")
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async def startup():
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from sqlalchemy import text as sa_text
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from app.database import engine, Base
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from app.models.item import Item, ItemAsset, AppLink # noqa: import to register models
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# Enable pgvector extension before creating tables
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async with engine.begin() as conn:
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await conn.execute(sa_text("CREATE EXTENSION IF NOT EXISTS vector"))
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await conn.run_sync(Base.metadata.create_all)
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# Ensure Meilisearch index exists
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from app.search.engine import ensure_meili_index
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await ensure_meili_index()
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logging.getLogger(__name__).info("Brain service started")
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