NixReaperandClaude Sonnet 5
c20df1c503
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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]>
23 lines
684 B
Python
23 lines
684 B
Python
"""arq task functions. Thin wrappers around the ingestion runner so retry/
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concurrency/observability behavior lives in arq's worker loop, not here.
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"""
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from __future__ import annotations
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from typing import Any
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from app.core.logging import get_logger
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from app.services.ingestion.runner import run_movie_ingestion, run_person_ingestion
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logger = get_logger(__name__)
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async def ingest_movie_task(ctx: dict[str, Any], external_id: str) -> str:
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movie_id = await run_movie_ingestion(external_id)
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return str(movie_id)
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async def ingest_person_task(ctx: dict[str, Any], external_id: str) -> str:
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person_id = await run_person_ingestion(external_id)
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return str(person_id)
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