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]>
21 lines
592 B
Python
21 lines
592 B
Python
"""Search response schemas."""
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from __future__ import annotations
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from pydantic import BaseModel
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from app.schemas.common import CollectionBriefOut, CompanyBriefOut
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from app.schemas.movie import MovieSummaryOut
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from app.schemas.person import PersonSummaryOut
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from app.schemas.tv import SeriesSummaryOut
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class SearchResultsOut(BaseModel):
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query: str
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movies: list[MovieSummaryOut] = []
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series: list[SeriesSummaryOut] = []
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people: list[PersonSummaryOut] = []
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collections: list[CollectionBriefOut] = []
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companies: list[CompanyBriefOut] = []
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total_results: int = 0
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