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