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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]>
342 lines
10 KiB
Python
342 lines
10 KiB
Python
"""Normalizes raw TMDb payloads into provider-agnostic dataclasses.
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This is the seam between "provider shape" and "Aurora shape" (section 13).
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A future provider adapter only needs its own `normalize_movie`-equivalent
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that produces these same dataclasses; nothing downstream (matcher,
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ingestion) needs to know which provider the data came from.
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"""
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from __future__ import annotations
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from dataclasses import dataclass, field
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from datetime import date
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TMDB_IMAGE_BASE = "https://image.tmdb.org/t/p/original"
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def _parse_date(value: str | None) -> date | None:
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if not value:
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return None
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try:
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return date.fromisoformat(value)
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except ValueError:
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return None
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def _image_url(path: str | None) -> str | None:
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if not path:
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return None
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return f"{TMDB_IMAGE_BASE}{path}"
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def _image_url_required(path: str) -> str:
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"""Same as `_image_url`, for call sites already guarded by a truthy
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check on `path` — keeps `NormalizedArtwork.url: str` honest."""
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return f"{TMDB_IMAGE_BASE}{path}"
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@dataclass
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class NormalizedPersonRef:
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external_id: str
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name: str
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profile_path: str | None = None
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department: str | None = None
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job: str | None = None
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character: str | None = None
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billing_order: int | None = None
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gender: str | None = None
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@dataclass
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class NormalizedCompanyRef:
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external_id: str
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name: str
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country_code: str | None = None
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role: str = "production"
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@dataclass
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class NormalizedArtwork:
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artwork_type: str # "poster" | "backdrop" | "logo" | "profile" | "still"
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url: str
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provider_asset_id: str | None
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width: int | None
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height: int | None
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aspect_ratio: float | None
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language: str | None
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vote_average: float | None = None
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@dataclass
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class NormalizedVideo:
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video_type: str
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provider_video_id: str
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site: str | None
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url: str
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language: str | None
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country: str | None
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is_official: bool
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published_at: date | None
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@dataclass
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class NormalizedMovie:
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external_id: str
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title: str
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original_title: str | None
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overview: str | None
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tagline: str | None
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status: str
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original_language: str | None
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release_date: date | None
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runtime_minutes: int | None
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budget: int | None
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revenue: int | None
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popularity: float | None
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vote_average: float | None
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vote_count: int | None
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adult: bool
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genres: list[str] = field(default_factory=list)
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keywords: list[str] = field(default_factory=list)
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alternate_titles: list[str] = field(default_factory=list)
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companies: list[NormalizedCompanyRef] = field(default_factory=list)
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cast: list[NormalizedPersonRef] = field(default_factory=list)
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crew: list[NormalizedPersonRef] = field(default_factory=list)
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artwork: list[NormalizedArtwork] = field(default_factory=list)
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videos: list[NormalizedVideo] = field(default_factory=list)
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external_ids: dict[str, str] = field(default_factory=dict)
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collection: tuple[str, str] | None = None # (external_id, name)
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recommendation_external_ids: list[str] = field(default_factory=list)
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_STATUS_MAP = {
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"Rumored": "rumored",
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"Planned": "planned",
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"In Production": "in_production",
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"Post Production": "post_production",
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"Released": "released",
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"Canceled": "canceled",
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}
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def normalize_movie(raw: dict) -> NormalizedMovie:
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credits_ = raw.get("credits") or {}
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images = raw.get("images") or {}
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videos = (raw.get("videos") or {}).get("results") or []
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keywords = (raw.get("keywords") or {}).get("keywords") or []
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alt_titles = (raw.get("alternative_titles") or {}).get("titles") or []
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ext_ids = raw.get("external_ids") or {}
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collection = raw.get("belongs_to_collection")
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recommendations = (raw.get("recommendations") or {}).get("results") or []
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external_ids: dict[str, str] = {}
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if raw.get("imdb_id"):
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external_ids["imdb"] = raw["imdb_id"]
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elif ext_ids.get("imdb_id"):
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external_ids["imdb"] = ext_ids["imdb_id"]
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if ext_ids.get("wikidata_id"):
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external_ids["wikidata"] = ext_ids["wikidata_id"]
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cast = [
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NormalizedPersonRef(
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external_id=str(c["id"]),
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name=c["name"],
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profile_path=_image_url(c.get("profile_path")),
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department="Acting",
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character=c.get("character"),
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billing_order=c.get("order"),
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gender=_gender_label(c.get("gender")),
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)
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for c in credits_.get("cast", [])
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]
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crew = [
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NormalizedPersonRef(
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external_id=str(c["id"]),
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name=c["name"],
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profile_path=_image_url(c.get("profile_path")),
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department=c.get("department") or "Crew",
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job=c.get("job"),
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gender=_gender_label(c.get("gender")),
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)
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for c in credits_.get("crew", [])
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]
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companies = [
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NormalizedCompanyRef(
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external_id=str(pc["id"]),
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name=pc["name"],
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country_code=pc.get("origin_country") or None,
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)
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for pc in raw.get("production_companies", [])
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]
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artwork: list[NormalizedArtwork] = []
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if raw.get("poster_path"):
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artwork.append(
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NormalizedArtwork(
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"poster",
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_image_url_required(raw["poster_path"]),
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raw["poster_path"],
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None,
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None,
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None,
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None,
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)
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)
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if raw.get("backdrop_path"):
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artwork.append(
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NormalizedArtwork(
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"backdrop",
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_image_url_required(raw["backdrop_path"]),
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raw["backdrop_path"],
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None,
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None,
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None,
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None,
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)
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)
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for kind, tmdb_key in (("poster", "posters"), ("backdrop", "backdrops"), ("logo", "logos")):
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for img in images.get(tmdb_key, []):
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artwork.append(
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NormalizedArtwork(
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kind,
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_image_url_required(img["file_path"]),
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img["file_path"],
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img.get("width"),
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img.get("height"),
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img.get("aspect_ratio"),
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img.get("iso_639_1"),
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img.get("vote_average"),
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)
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)
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normalized_videos = [
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NormalizedVideo(
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video_type=(v.get("type") or "other").lower().replace(" ", "_"),
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provider_video_id=v["id"],
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site=v.get("site"),
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url=_video_url(v),
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language=v.get("iso_639_1"),
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country=v.get("iso_3166_1"),
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is_official=bool(v.get("official")),
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published_at=_parse_date(v.get("published_at", "")[:10] if v.get("published_at") else None),
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)
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for v in videos
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]
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return NormalizedMovie(
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external_id=str(raw["id"]),
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title=raw.get("title") or raw.get("original_title") or "",
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original_title=raw.get("original_title"),
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overview=raw.get("overview") or None,
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tagline=raw.get("tagline") or None,
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status=_STATUS_MAP.get(raw.get("status", "Released"), "released"),
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original_language=raw.get("original_language"),
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release_date=_parse_date(raw.get("release_date")),
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runtime_minutes=raw.get("runtime"),
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budget=raw.get("budget") or None,
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revenue=raw.get("revenue") or None,
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popularity=raw.get("popularity"),
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vote_average=raw.get("vote_average"),
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vote_count=raw.get("vote_count"),
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adult=bool(raw.get("adult", False)),
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genres=[g["name"] for g in raw.get("genres", [])],
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keywords=[k["name"] for k in keywords],
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alternate_titles=[t["title"] for t in alt_titles if t.get("title")],
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companies=companies,
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cast=cast,
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crew=crew,
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artwork=artwork,
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videos=normalized_videos,
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external_ids=external_ids,
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collection=(str(collection["id"]), collection["name"]) if collection else None,
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recommendation_external_ids=[str(m["id"]) for m in recommendations],
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)
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@dataclass
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class NormalizedPerson:
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external_id: str
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name: str
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biography: str | None
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birthday: date | None
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deathday: date | None
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birthplace: str | None
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gender: str | None
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known_for_department: str | None
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popularity: float | None
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aliases: list[str]
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artwork: list[NormalizedArtwork]
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external_ids: dict[str, str]
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def _gender_label(tmdb_gender: int | None) -> str | None:
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return {1: "female", 2: "male", 3: "non_binary"}.get(tmdb_gender or 0)
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def _video_url(video: dict) -> str:
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site = (video.get("site") or "").lower()
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key = video.get("key", "")
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if site == "youtube":
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return f"https://www.youtube.com/watch?v={key}"
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if site == "vimeo":
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return f"https://vimeo.com/{key}"
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return key
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def normalize_person(raw: dict) -> NormalizedPerson:
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images = (raw.get("images") or {}).get("profiles") or []
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ext_ids = raw.get("external_ids") or {}
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external_ids: dict[str, str] = {}
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if raw.get("imdb_id"):
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external_ids["imdb"] = raw["imdb_id"]
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elif ext_ids.get("imdb_id"):
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external_ids["imdb"] = ext_ids["imdb_id"]
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if ext_ids.get("wikidata_id"):
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external_ids["wikidata"] = ext_ids["wikidata_id"]
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artwork = [
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NormalizedArtwork(
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"profile",
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_image_url_required(img["file_path"]),
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img["file_path"],
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img.get("width"),
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img.get("height"),
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img.get("aspect_ratio"),
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img.get("iso_639_1"),
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img.get("vote_average"),
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)
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for img in images
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]
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if raw.get("profile_path") and not any(a.provider_asset_id == raw["profile_path"] for a in artwork):
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artwork.insert(
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0,
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NormalizedArtwork(
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"profile",
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_image_url_required(raw["profile_path"]),
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raw["profile_path"],
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None,
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None,
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None,
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None,
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),
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)
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also_known_as = raw.get("also_known_as") or []
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return NormalizedPerson(
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external_id=str(raw["id"]),
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name=raw.get("name", ""),
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biography=raw.get("biography") or None,
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birthday=_parse_date(raw.get("birthday")),
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deathday=_parse_date(raw.get("deathday")),
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birthplace=raw.get("place_of_birth") or None,
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gender=_gender_label(raw.get("gender")),
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known_for_department=raw.get("known_for_department"),
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popularity=raw.get("popularity"),
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aliases=list(also_known_as),
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artwork=artwork,
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external_ids=external_ids,
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)
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