Initial Aurora Core 0.1 implementation
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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]>
This commit is contained in:
NixReaper
2026-09-04 17:34:03 -05:00
co-authored by Claude Sonnet 5
commit c20df1c503
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"""Normalizes raw TMDb payloads into provider-agnostic dataclasses.
This is the seam between "provider shape" and "Aurora shape" (section 13).
A future provider adapter only needs its own `normalize_movie`-equivalent
that produces these same dataclasses; nothing downstream (matcher,
ingestion) needs to know which provider the data came from.
"""
from __future__ import annotations
from dataclasses import dataclass, field
from datetime import date
TMDB_IMAGE_BASE = "https://image.tmdb.org/t/p/original"
def _parse_date(value: str | None) -> date | None:
if not value:
return None
try:
return date.fromisoformat(value)
except ValueError:
return None
def _image_url(path: str | None) -> str | None:
if not path:
return None
return f"{TMDB_IMAGE_BASE}{path}"
def _image_url_required(path: str) -> str:
"""Same as `_image_url`, for call sites already guarded by a truthy
check on `path` — keeps `NormalizedArtwork.url: str` honest."""
return f"{TMDB_IMAGE_BASE}{path}"
@dataclass
class NormalizedPersonRef:
external_id: str
name: str
profile_path: str | None = None
department: str | None = None
job: str | None = None
character: str | None = None
billing_order: int | None = None
gender: str | None = None
@dataclass
class NormalizedCompanyRef:
external_id: str
name: str
country_code: str | None = None
role: str = "production"
@dataclass
class NormalizedArtwork:
artwork_type: str # "poster" | "backdrop" | "logo" | "profile" | "still"
url: str
provider_asset_id: str | None
width: int | None
height: int | None
aspect_ratio: float | None
language: str | None
vote_average: float | None = None
@dataclass
class NormalizedVideo:
video_type: str
provider_video_id: str
site: str | None
url: str
language: str | None
country: str | None
is_official: bool
published_at: date | None
@dataclass
class NormalizedMovie:
external_id: str
title: str
original_title: str | None
overview: str | None
tagline: str | None
status: str
original_language: str | None
release_date: date | None
runtime_minutes: int | None
budget: int | None
revenue: int | None
popularity: float | None
vote_average: float | None
vote_count: int | None
adult: bool
genres: list[str] = field(default_factory=list)
keywords: list[str] = field(default_factory=list)
alternate_titles: list[str] = field(default_factory=list)
companies: list[NormalizedCompanyRef] = field(default_factory=list)
cast: list[NormalizedPersonRef] = field(default_factory=list)
crew: list[NormalizedPersonRef] = field(default_factory=list)
artwork: list[NormalizedArtwork] = field(default_factory=list)
videos: list[NormalizedVideo] = field(default_factory=list)
external_ids: dict[str, str] = field(default_factory=dict)
collection: tuple[str, str] | None = None # (external_id, name)
recommendation_external_ids: list[str] = field(default_factory=list)
_STATUS_MAP = {
"Rumored": "rumored",
"Planned": "planned",
"In Production": "in_production",
"Post Production": "post_production",
"Released": "released",
"Canceled": "canceled",
}
def normalize_movie(raw: dict) -> NormalizedMovie:
credits_ = raw.get("credits") or {}
images = raw.get("images") or {}
videos = (raw.get("videos") or {}).get("results") or []
keywords = (raw.get("keywords") or {}).get("keywords") or []
alt_titles = (raw.get("alternative_titles") or {}).get("titles") or []
ext_ids = raw.get("external_ids") or {}
collection = raw.get("belongs_to_collection")
recommendations = (raw.get("recommendations") or {}).get("results") or []
external_ids: dict[str, str] = {}
if raw.get("imdb_id"):
external_ids["imdb"] = raw["imdb_id"]
elif ext_ids.get("imdb_id"):
external_ids["imdb"] = ext_ids["imdb_id"]
if ext_ids.get("wikidata_id"):
external_ids["wikidata"] = ext_ids["wikidata_id"]
cast = [
NormalizedPersonRef(
external_id=str(c["id"]),
name=c["name"],
profile_path=_image_url(c.get("profile_path")),
department="Acting",
character=c.get("character"),
billing_order=c.get("order"),
gender=_gender_label(c.get("gender")),
)
for c in credits_.get("cast", [])
]
crew = [
NormalizedPersonRef(
external_id=str(c["id"]),
name=c["name"],
profile_path=_image_url(c.get("profile_path")),
department=c.get("department") or "Crew",
job=c.get("job"),
gender=_gender_label(c.get("gender")),
)
for c in credits_.get("crew", [])
]
companies = [
NormalizedCompanyRef(
external_id=str(pc["id"]),
name=pc["name"],
country_code=pc.get("origin_country") or None,
)
for pc in raw.get("production_companies", [])
]
artwork: list[NormalizedArtwork] = []
if raw.get("poster_path"):
artwork.append(
NormalizedArtwork(
"poster",
_image_url_required(raw["poster_path"]),
raw["poster_path"],
None,
None,
None,
None,
)
)
if raw.get("backdrop_path"):
artwork.append(
NormalizedArtwork(
"backdrop",
_image_url_required(raw["backdrop_path"]),
raw["backdrop_path"],
None,
None,
None,
None,
)
)
for kind, tmdb_key in (("poster", "posters"), ("backdrop", "backdrops"), ("logo", "logos")):
for img in images.get(tmdb_key, []):
artwork.append(
NormalizedArtwork(
kind,
_image_url_required(img["file_path"]),
img["file_path"],
img.get("width"),
img.get("height"),
img.get("aspect_ratio"),
img.get("iso_639_1"),
img.get("vote_average"),
)
)
normalized_videos = [
NormalizedVideo(
video_type=(v.get("type") or "other").lower().replace(" ", "_"),
provider_video_id=v["id"],
site=v.get("site"),
url=_video_url(v),
language=v.get("iso_639_1"),
country=v.get("iso_3166_1"),
is_official=bool(v.get("official")),
published_at=_parse_date(v.get("published_at", "")[:10] if v.get("published_at") else None),
)
for v in videos
]
return NormalizedMovie(
external_id=str(raw["id"]),
title=raw.get("title") or raw.get("original_title") or "",
original_title=raw.get("original_title"),
overview=raw.get("overview") or None,
tagline=raw.get("tagline") or None,
status=_STATUS_MAP.get(raw.get("status", "Released"), "released"),
original_language=raw.get("original_language"),
release_date=_parse_date(raw.get("release_date")),
runtime_minutes=raw.get("runtime"),
budget=raw.get("budget") or None,
revenue=raw.get("revenue") or None,
popularity=raw.get("popularity"),
vote_average=raw.get("vote_average"),
vote_count=raw.get("vote_count"),
adult=bool(raw.get("adult", False)),
genres=[g["name"] for g in raw.get("genres", [])],
keywords=[k["name"] for k in keywords],
alternate_titles=[t["title"] for t in alt_titles if t.get("title")],
companies=companies,
cast=cast,
crew=crew,
artwork=artwork,
videos=normalized_videos,
external_ids=external_ids,
collection=(str(collection["id"]), collection["name"]) if collection else None,
recommendation_external_ids=[str(m["id"]) for m in recommendations],
)
@dataclass
class NormalizedPerson:
external_id: str
name: str
biography: str | None
birthday: date | None
deathday: date | None
birthplace: str | None
gender: str | None
known_for_department: str | None
popularity: float | None
aliases: list[str]
artwork: list[NormalizedArtwork]
external_ids: dict[str, str]
def _gender_label(tmdb_gender: int | None) -> str | None:
return {1: "female", 2: "male", 3: "non_binary"}.get(tmdb_gender or 0)
def _video_url(video: dict) -> str:
site = (video.get("site") or "").lower()
key = video.get("key", "")
if site == "youtube":
return f"https://www.youtube.com/watch?v={key}"
if site == "vimeo":
return f"https://vimeo.com/{key}"
return key
def normalize_person(raw: dict) -> NormalizedPerson:
images = (raw.get("images") or {}).get("profiles") or []
ext_ids = raw.get("external_ids") or {}
external_ids: dict[str, str] = {}
if raw.get("imdb_id"):
external_ids["imdb"] = raw["imdb_id"]
elif ext_ids.get("imdb_id"):
external_ids["imdb"] = ext_ids["imdb_id"]
if ext_ids.get("wikidata_id"):
external_ids["wikidata"] = ext_ids["wikidata_id"]
artwork = [
NormalizedArtwork(
"profile",
_image_url_required(img["file_path"]),
img["file_path"],
img.get("width"),
img.get("height"),
img.get("aspect_ratio"),
img.get("iso_639_1"),
img.get("vote_average"),
)
for img in images
]
if raw.get("profile_path") and not any(a.provider_asset_id == raw["profile_path"] for a in artwork):
artwork.insert(
0,
NormalizedArtwork(
"profile",
_image_url_required(raw["profile_path"]),
raw["profile_path"],
None,
None,
None,
None,
),
)
also_known_as = raw.get("also_known_as") or []
return NormalizedPerson(
external_id=str(raw["id"]),
name=raw.get("name", ""),
biography=raw.get("biography") or None,
birthday=_parse_date(raw.get("birthday")),
deathday=_parse_date(raw.get("deathday")),
birthplace=raw.get("place_of_birth") or None,
gender=_gender_label(raw.get("gender")),
known_for_department=raw.get("known_for_department"),
popularity=raw.get("popularity"),
aliases=list(also_known_as),
artwork=artwork,
external_ids=external_ids,
)