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
111 changed files with 10041 additions and 0 deletions
@@ -0,0 +1,22 @@
+"""arq task functions. Thin wrappers around the ingestion runner so retry/
+concurrency/observability behavior lives in arq's worker loop, not here.
+"""
+
+from __future__ import annotations
+
+from typing import Any
+
+from app.core.logging import get_logger
+from app.services.ingestion.runner import run_movie_ingestion, run_person_ingestion
+
+logger = get_logger(__name__)
+
+
+async def ingest_movie_task(ctx: dict[str, Any], external_id: str) -> str:
+    movie_id = await run_movie_ingestion(external_id)
+    return str(movie_id)
+
+
+async def ingest_person_task(ctx: dict[str, Any], external_id: str) -> str:
+    person_id = await run_person_ingestion(external_id)
+    return str(person_id)