Add collection/franchise ingestion
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Collections were bare stubs (name only) lazily created the moment a
movie's belongs_to_collection reference was seen. Adds a real
ingest_collection pipeline: TMDb's /collection/{id} for overview and
poster/backdrop artwork, plus ordered CollectionMovie membership --
linking only movies already ingested into Aurora, the same
never-fabricate-a-stub rule movie recommendations already follow.

get_or_create_collection now refreshes name/overview on an existing
stub instead of only creating, guarded so a bare movie-stub call
(overview=None) never clobbers real data a full ingestion already
filled in.

New POST /api/v1/admin/ingest/collection endpoint and
ingest_collection_task; GET /api/v1/collections/{id} needed no changes
since its read path (collection_service.py) already assembled the full
detail shape.

Co-Authored-By: Claude Sonnet 5 <[email protected]>
This commit is contained in:
NixReaper
2026-09-05 08:37:27 -05:00
co-authored by Claude Sonnet 5
parent 4af4ba40ef
commit 892f78016c
15 changed files with 460 additions and 1 deletions
+55
View File
@@ -138,6 +138,61 @@ class NormalizedMovie:
recommendation_external_ids: list[str] = field(default_factory=list)
@dataclass
class NormalizedCollection:
external_id: str
name: str
overview: str | None
artwork: list[NormalizedArtwork] = field(default_factory=list)
# TMDb's "parts", ordered by release date rather than TMDb's own array
# order (which isn't guaranteed to be chronological) -- see
# normalize_collection.
part_external_ids: list[str] = field(default_factory=list)
def normalize_collection(raw: dict) -> NormalizedCollection:
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,
is_primary=True,
)
)
if raw.get("backdrop_path"):
artwork.append(
NormalizedArtwork(
"backdrop",
_image_url_required(raw["backdrop_path"]),
raw["backdrop_path"],
None,
None,
None,
None,
is_primary=True,
)
)
parts = sorted(
raw.get("parts") or [],
key=lambda p: _parse_date(p.get("release_date")) or date.max,
)
return NormalizedCollection(
external_id=str(raw["id"]),
name=raw["name"],
overview=raw.get("overview") or None,
artwork=artwork,
part_external_ids=[str(p["id"]) for p in parts],
)
_STATUS_MAP = {
"Rumored": "rumored",
"Planned": "planned",