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]>
43 lines
1.2 KiB
Python
43 lines
1.2 KiB
Python
"""Keywords/tags and their movie/series associations."""
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from __future__ import annotations
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import uuid
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from sqlalchemy import ForeignKey, String
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from sqlalchemy.orm import Mapped, mapped_column
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from app.models.base import Base, UUIDPrimaryKeyMixin
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class Keyword(Base, UUIDPrimaryKeyMixin):
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__tablename__ = "keywords"
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name: Mapped[str] = mapped_column(String(150), unique=True, nullable=False)
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slug: Mapped[str] = mapped_column(String(150), unique=True, nullable=False)
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class MovieKeyword(Base):
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__tablename__ = "movie_keywords"
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movie_id: Mapped[uuid.UUID] = mapped_column(
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ForeignKey("movies.id", ondelete="CASCADE"), primary_key=True
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)
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keyword_id: Mapped[uuid.UUID] = mapped_column(
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ForeignKey("keywords.id", ondelete="CASCADE"), primary_key=True
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)
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class SeriesKeyword(Base):
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__tablename__ = "series_keywords"
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series_id: Mapped[uuid.UUID] = mapped_column(
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ForeignKey("series.id", ondelete="CASCADE"), primary_key=True
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)
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keyword_id: Mapped[uuid.UUID] = mapped_column(
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ForeignKey("keywords.id", ondelete="CASCADE"), primary_key=True
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)
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__all__ = ["Keyword", "MovieKeyword", "SeriesKeyword"]
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