5 Commits

Include renames

Author	SHA1	Message	Date
NixReaperandClaude Sonnet 5	c03a75989d	Ingest and self-host company/network logos ... CompanyBriefOut.logo_path and CompanyDetailOut.logo_path have existed in the API schemas since Core 0.1's first pass, but nothing ever actually populated them -- TMDb's production_companies/networks entries carry a logo_path field that the normalizer simply never read, so every response has silently returned null there. - NormalizedCompanyRef now captures logo_path from both movie production_companies and series networks/production_companies. - normalizer.company_logo_artwork() builds the single-image artwork entry for it (a company has exactly one logo ingested, so it's always is_primary) -- centralized there rather than duplicated in both ingestion modules, matching how movie/series artwork URLs are already built in one place. - movie_ingestion.py and series_ingestion.py sync it via the same sync_artwork() the rest of section 10's self-hosting already uses, so it gets the same re-ingestion-safe upsert behavior for free. - tasks.py cascades a download_artwork_task per referenced company after movie/series ingestion, same fan-out pattern as movie/series/season/person artwork. Co-Authored-By: Claude Sonnet 5 <[email protected]>	2026-09-05 07:46:30 -05:00
NixReaperandClaude Sonnet 5	fef914db36	Add artwork self-hosting: local-disk download worker + storage ... Section 10: every image API responses reference has pointed straight at TMDb's CDN since day one -- Aurora never actually downloaded or served artwork itself, despite storing dimensions/checksum/local_path columns for exactly that. Closes the gap: - is_primary was declared on the Artwork model but never actually set anywhere -- every row defaulted to False. Now the normalizer marks the one image each provider designates as *the* image for an entity (TMDb's poster_path/backdrop_path/profile_path) as primary, distinct from the dozens of alternates also ingested, including correctly marking an existing row primary (not inserting a duplicate) when that image already appears in the alternates list. - app/services/artwork/: an ArtworkStorage interface with a LocalDiskStorage implementation (checksum-named files, single-host deployment via a Docker volume shared between api and worker -- see docs/architecture.md for the S3/R2 upgrade path), and a download pipeline with content-type validation, a size cap, and path-traversal protection. - After movie/series/person ingestion succeeds, tasks.py cascades one download_artwork_task per primary artwork id via arq's ctx['redis'] (same fan-out pattern as the season cascade) -- fire-and-forget, not tracked in ingestion_jobs, since a failed image cache is a known-safe fallback to the provider URL, not a user-facing failure. - app/main.py serves MEDIA_ROOT at MEDIA_URL_PREFIX; local_path is preferred over original_url once set (already-existing fallback logic in app/services/common.py:artwork_url, now actually exercised). Also fixes a real interaction bug this surfaced: every ingestion pipeline deleted and recreated all of an entity's Artwork rows on each re-sync, which would have silently wiped local_path/checksum on every re-ingestion, forcing a full re-download every time and defeating the point of caching locally at all. app/repositories/polymorphic.py's new sync_artwork upserts by provider_asset_id (TMDb's stable per-image path) instead, preserving downloaded copies across re-sync, and replaces three near-identical delete+recreate helpers that used to live separately in movie_ingestion.py, series_ingestion.py, and person_ingestion.py. Co-Authored-By: Claude Sonnet 5 <[email protected]>	2026-09-05 03:26:28 -05:00
NixReaperandClaude Sonnet 5	dd3ff9764b	Fix race condition in get_or_create_* under concurrent ingestion ... Every get_or_create_* helper (genre, keyword, language, country, company, collection, person) followed check-then-act: look up by natural key, insert if missing. That was safe as long as nothing ingested concurrently for overlapping data -- which stopped being true the moment ingest_series_task could cascade season ingestion (include_seasons), since arq runs multiple queued jobs concurrently. Two seasons of the same series sharing a guest star, crew member, or company can now race to create it: both see "not found", both try to INSERT, and the loser hits a unique-constraint violation instead of finding the winner's row. Reproduced live: cascading Better Call Saul (60059) with include_seasons crashed a season job with "duplicate key value violates unique constraint uq_external_id_source" on a recurring guest actor shared across two seasons ingesting at the same time. _create_or_recover wraps each insert in a SAVEPOINT and, on that specific failure, rolls back just the savepoint and re-queries for what the concurrent job committed -- recovering instead of aborting the whole ingestion job. Added unit tests for the retry mechanism itself; genuinely reproducing the underlying race in an automated test would need real Postgres MVCC timing, which isn't something a deterministic test can force reliably. Co-Authored-By: Claude Sonnet 5 <[email protected]>	2026-09-05 02:27:07 -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