Initial Aurora Core 0.1 implementation

Production-grade media metadata backend per docs/aurora-core-spec.md: Aurora-owned UUIDv7 identity system, normalized movie/TV/people/credits schema, provider abstraction with a TMDb adapter, an idempotent async ingestion pipeline (normalize -> match -> upsert -> provenance), a Postgres FTS/trigram search layer, a stateless FastAPI v1 API with Redis caching/rate-limiting, arq workers, dev/prod Docker Compose topologies, unit + integration + load tests, CI, and architecture/ database/API/ERD documentation. Co-Authored-By: Claude Sonnet 5 <[email protected]>
2026-09-04 17:34:03 -05:00
commit c20df1c503
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+"""Search endpoint (section 16, section 17)."""
+
+from __future__ import annotations
+
+from fastapi import APIRouter, Depends, Query
+from sqlalchemy.ext.asyncio import AsyncSession
+
+from app.core.database import get_db
+from app.core.security import enforce_rate_limit
+from app.schemas.search import SearchResultsOut
+from app.services.search.postgresql_provider import PostgreSQLSearchProvider
+from app.services.search.service import SearchService
+
+router = APIRouter(prefix="/search", tags=["search"], dependencies=[Depends(enforce_rate_limit)])
+
+_search_service = SearchService(PostgreSQLSearchProvider())
+
+
+@router.get("", response_model=SearchResultsOut)
+async def search(
+    q: str = Query(..., min_length=1, max_length=300),
+    limit: int = Query(10, ge=1, le=50),
+    session: AsyncSession = Depends(get_db),
+) -> SearchResultsOut:
+    return await _search_service.search(session, q, limit_per_type=limit)