"""Movie response schemas."""

from __future__ import annotations

from datetime import date, datetime

from pydantic import BaseModel

from app.schemas.common import (
    CastCreditOut,
    CollectionBriefOut,
    CompanyBriefOut,
    CrewCreditOut,
    GenreOut,
    ImagesOut,
    KeywordOut,
    VideoOut,
)


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

    genres: list[GenreOut] = []
    keywords: list[KeywordOut] = []
    cast: list[CastCreditOut] = []
    crew: list[CrewCreditOut] = []
    companies: list[CompanyBriefOut] = []
    collection: CollectionBriefOut | None = None
    images: ImagesOut = ImagesOut()
    videos: list[VideoOut] = []
    external_ids: dict[str, str] = {}

    created_at: datetime
    updated_at: datetime


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] = []