Files
Aurora-Core/app/schemas/movie.py
T
NixReaperandClaude Sonnet 5 0ab31a314c Add movie/series ratings and watchlist
Builds on the accounts foundation: PUT/DELETE a rating (0.5-10.0) or a
watchlist entry on any movie or series, all scoped to the bearer token's
own user, plus GET /account/ratings|watchlist/{movies,series} to list
them back. Both are polymorphic entity_type/entity_id tables, same shape
as watch_provider_offerings and trending_entries, so movie and series
share one repository/router each rather than duplicating per type.

Co-Authored-By: Claude Sonnet 5 <[email protected]>
2026-09-06 10:47:41 -05:00

121 lines
2.9 KiB
Python

"""Movie response schemas."""
from __future__ import annotations
from datetime import date, datetime
from pydantic import BaseModel
from app.schemas.common import (
AlternateTitleOut,
CastCreditOut,
CollectionBriefOut,
CompanyBriefOut,
CrewCreditOut,
GenreOut,
ImagesOut,
KeywordOut,
ReleaseDateOut,
VideoOut,
WatchProviderRegionOut,
)
class MovieSummaryOut(BaseModel):
"""Compact movie representation used in lists and search results."""
id: str
type: str = "movie"
title: str
original_title: str | None = None
overview: str | None = None
release_date: date | None = None
poster_path: str | None = None
popularity: float | None = None
vote_average: float | None = None
class MovieDetailOut(BaseModel):
id: str
type: str = "movie"
title: str
original_title: str | None = None
overview: str | None = None
tagline: str | None = None
status: str
original_language: str | None = None
release_date: date | None = None
runtime: int | None = None
budget: int | None = None
revenue: int | None = None
popularity: float | None = None
vote_average: float | None = None
vote_count: int | None = None
adult: bool = False
# The US MPA rating (e.g. "PG-13"), the badge TMDb shows next to a
# title by default -- convenience pick out of `release_dates` below for
# a client that just wants a single rating without picking a country.
certification: str | None = None
genres: list[GenreOut] = []
keywords: list[KeywordOut] = []
alternate_titles: list[AlternateTitleOut] = []
cast: list[CastCreditOut] = []
crew: list[CrewCreditOut] = []
companies: list[CompanyBriefOut] = []
collection: CollectionBriefOut | None = None
images: ImagesOut = ImagesOut()
videos: list[VideoOut] = []
release_dates: list[ReleaseDateOut] = []
watch_providers: dict[str, WatchProviderRegionOut] = {}
external_ids: dict[str, str] = {}
created_at: datetime
updated_at: datetime
class MovieWatchProvidersOut(BaseModel):
id: str
results: dict[str, WatchProviderRegionOut] = {}
class MovieCreditsOut(BaseModel):
id: str
cast: list[CastCreditOut] = []
crew: list[CrewCreditOut] = []
class MovieImagesOut(BaseModel):
id: str
images: ImagesOut = ImagesOut()
class MovieVideosOut(BaseModel):
id: str
videos: list[VideoOut] = []
class MovieRecommendationsOut(BaseModel):
id: str
recommendations: list[MovieSummaryOut] = []
class MovieListOut(BaseModel):
page: int
page_size: int
total_results: int
total_pages: int
results: list[MovieSummaryOut] = []
class RatedMovieOut(MovieSummaryOut):
rating: float
class RatedMovieListOut(BaseModel):
page: int
page_size: int
total_results: int
total_pages: int
results: list[RatedMovieOut] = []