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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]>
25 lines
564 B
Python
25 lines
564 B
Python
"""Collection/franchise response schemas."""
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from __future__ import annotations
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from datetime import datetime
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from pydantic import BaseModel
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from app.schemas.movie import MovieSummaryOut
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from app.schemas.tv import SeriesSummaryOut
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class CollectionDetailOut(BaseModel):
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id: str
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type: str = "collection"
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name: str
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overview: str | None = None
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poster_path: str | None = None
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backdrop_path: str | None = None
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movies: list[MovieSummaryOut] = []
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series: list[SeriesSummaryOut] = []
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created_at: datetime
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updated_at: datetime
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