NixReaperandClaude Sonnet 5
e1a36ce227
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TMDb's release_dates/content_ratings blocks were already fetched via append_to_response but discarded at normalization -- every downstream layer (ingestion write, repository read, schema, service) was unbuilt. Adds the full pipeline: NormalizedReleaseDate + get_or_create_certification, a shared polymorphic sync/read (movie and series both use it), and MovieDetailOut/SeriesDetailOut certification + release_dates fields. Series content_ratings has no date of its own, so each rating is anchored to the show's first_air_date with release_type="tv". Co-Authored-By: Claude Sonnet 5 <[email protected]>
100 lines
2.4 KiB
Python
100 lines
2.4 KiB
Python
"""Movie response schemas."""
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from __future__ import annotations
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from datetime import date, datetime
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from pydantic import BaseModel
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from app.schemas.common import (
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CastCreditOut,
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CollectionBriefOut,
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CompanyBriefOut,
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CrewCreditOut,
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GenreOut,
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ImagesOut,
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KeywordOut,
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ReleaseDateOut,
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VideoOut,
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)
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class MovieSummaryOut(BaseModel):
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"""Compact movie representation used in lists and search results."""
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id: str
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type: str = "movie"
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title: str
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original_title: str | None = None
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overview: str | None = None
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release_date: date | None = None
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poster_path: str | None = None
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popularity: float | None = None
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vote_average: float | None = None
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class MovieDetailOut(BaseModel):
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id: str
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type: str = "movie"
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title: str
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original_title: str | None = None
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overview: str | None = None
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tagline: str | None = None
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status: str
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original_language: str | None = None
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release_date: date | None = None
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runtime: int | None = None
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budget: int | None = None
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revenue: int | None = None
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popularity: float | None = None
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vote_average: float | None = None
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vote_count: int | None = None
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adult: bool = False
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# The US MPA rating (e.g. "PG-13"), the badge TMDb shows next to a
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# title by default -- convenience pick out of `release_dates` below for
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# a client that just wants a single rating without picking a country.
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certification: str | None = None
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genres: list[GenreOut] = []
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keywords: list[KeywordOut] = []
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cast: list[CastCreditOut] = []
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crew: list[CrewCreditOut] = []
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companies: list[CompanyBriefOut] = []
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collection: CollectionBriefOut | None = None
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images: ImagesOut = ImagesOut()
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videos: list[VideoOut] = []
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release_dates: list[ReleaseDateOut] = []
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external_ids: dict[str, str] = {}
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created_at: datetime
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updated_at: datetime
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class MovieCreditsOut(BaseModel):
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id: str
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cast: list[CastCreditOut] = []
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crew: list[CrewCreditOut] = []
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class MovieImagesOut(BaseModel):
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id: str
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images: ImagesOut = ImagesOut()
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class MovieVideosOut(BaseModel):
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id: str
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videos: list[VideoOut] = []
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class MovieRecommendationsOut(BaseModel):
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id: str
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recommendations: list[MovieSummaryOut] = []
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class MovieListOut(BaseModel):
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page: int
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page_size: int
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total_results: int
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total_pages: int
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results: list[MovieSummaryOut] = []
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