NixReaperandClaude Sonnet 5
20f5e82d1b
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The complement to /search for browsing without a query: paginated, filterable (genre, year, status) and sortable (popularity, release/air date, rating, title) listings. Offset-based pagination rather than the Aurora ID cursor scheme, since sorting by popularity/rating/date doesn't line up with creation-order cursors. Total count is computed via a window function in the same query as the page of results, avoiding a second round trip per request. An invalid filter (malformed genre id, unknown status) is a 422 via a per-service InvalidMovieFilterError/InvalidSeriesFilterError, caught before any DB query runs. build_movie_summary/build_series_summary refactored to share their row-to-summary logic with the new list path, avoiding a redundant get_by_id lookup when the row is already in hand. Co-Authored-By: Claude Sonnet 5 <[email protected]>
94 lines
2.1 KiB
Python
94 lines
2.1 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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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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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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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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