3 Commits

Include renames

Author	SHA1	Message	Date
NixReaperandClaude Sonnet 5	ec6b5bdd7d	Surface series/episode credits in person filmography ... /people/{id}/credits only ever looked at entity_type == "movie", silently dropping the series-level cast/crew and episode-level guest-star Credit rows that series_ingestion.py has been writing all along -- a person ingested via a TV show would show an empty or movie-only filmography no matter how much TV work was actually in the database. Regular series credits map straight to a filmography row, same shape as movies. Guest-star episode credits are aggregated to one row per (series, department/job/character) with an episode_count, rather than one row per episode -- a prolific guest actor would otherwise flood the list with dozens of near-identical entries. Added tv_repository.get_series_by_ids/get_episodes_by_ids (bulk, mirroring the existing movie_repository pattern) to support it. Co-Authored-By: Claude Sonnet 5 <[email protected]>	2026-09-04 20:00:15 -05:00
NixReaperandClaude Sonnet 5	3f6332559a	Add series/season/episode ingestion pipeline ... Movie and person ingestion existed, but the series/season/episode API endpoints had no way to actually populate them from TMDb -- the biggest remaining gap in Core 0.1's television scope. - normalize_series/normalize_season in the metadata normalizer, including two TMDb quirks that would otherwise silently produce empty data: /tv nests keywords and alternative_titles under "results" (not "keywords"/"titles" like /movie), and series-level creators come from a separate created_by array, not the credits cast/crew lists. - ingest_series upserts the Series row plus season *stubs* (number, title, air date, poster -- everything TMDb inlines on /tv/{id}); ingest_season fetches and upserts one season's full episode list, and requires the series to already exist (TMDb has no single endpoint for a whole series' episodes, so this has to be a separate per-season call). - Wired through the same job-lifecycle path as movie/person ingestion (runner.py, arq tasks, admin endpoints), with the shared boilerplate between them factored into runner._run_ingestion and admin.py:_enqueue rather than copy-pasted a third and fourth time. - Unit tests for both normalizers (runnable without a DB) and integration tests for the full ingest_series -> ingest_season flow, including the series-must-exist-first error and idempotency on re-ingestion. Co-Authored-By: Claude Sonnet 5 <[email protected]>	2026-09-04 19:43:56 -05:00
NixReaperandClaude Sonnet 5	c20df1c503	Initial Aurora Core 0.1 implementation ... 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]>	2026-09-04 17:34:03 -05:00