68a8d4c228
Backend: - New Folder/Tag/ItemTag models with proper relational tables - Taxonomy CRUD endpoints: list, create, rename, delete, merge tags - Sidebar endpoint with folder/tag counts - AI classification reads live folders/tags from DB, not hardcoded - Default folders/tags seeded on first request per user - folder_id FK on items for relational integrity Frontend: - Left sidebar with Folders/Tags tabs (like Karakeep) - Click folder/tag to filter items - "Manage" mode: add new folders/tags, delete existing - Counts next to each folder/tag - "All items" option to clear filter - Replaces the old signal-strip cards Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
47 lines
1.4 KiB
Python
47 lines
1.4 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.api.taxonomy import router as taxonomy_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.include_router(taxonomy_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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from app.models.taxonomy import Folder, Tag, ItemTag # noqa: register taxonomy tables
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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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