6c5cf8ec9b
Rule-based pipeline: persons matched via rapidfuzz against all known names loaded from DB at startup. Fixes first-name-only extraction (Eugenie, Herbert), merged-span bug (Herbert + Eugenie de Gruyter), false positives on compound nouns, and EN/ES model failures. Date extraction unchanged (regex). No spaCy models required. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
54 lines
1.5 KiB
Python
54 lines
1.5 KiB
Python
"""FastAPI app — /parse and /health endpoints."""
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from __future__ import annotations
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import os
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from contextlib import asynccontextmanager
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from fastapi import FastAPI, HTTPException
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from extractor import extract, get_person_matcher, set_person_matcher
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from models import ParseRequest, ParseResponse
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from person_matcher import PersonMatcher
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def _load_persons_from_db(db_url: str) -> list[tuple[str | None, str | None]]:
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import psycopg2 # deferred — not available in test environments without a DB
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conn = psycopg2.connect(db_url)
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try:
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cur = conn.cursor()
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cur.execute("SELECT first_name, last_name FROM persons")
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return cur.fetchall()
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finally:
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conn.close()
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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# Only initialise the matcher when nothing was pre-seeded (e.g., by tests).
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if get_person_matcher() is None:
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m = PersonMatcher()
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db_url = os.environ.get("DATABASE_URL")
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if db_url:
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rows = _load_persons_from_db(db_url)
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m.load(rows)
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set_person_matcher(m)
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yield
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app = FastAPI(lifespan=lifespan)
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@app.get("/health")
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def health() -> dict:
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m = get_person_matcher()
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return {"status": "ok", "persons_loaded": len(m) if m else 0}
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@app.post("/parse", response_model=ParseResponse)
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def parse(request: ParseRequest) -> ParseResponse:
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try:
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return extract(request.query, request.lang)
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except Exception as exc:
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raise HTTPException(status_code=500, detail=str(exc)) from exc
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