64169c4aeeb7acd13310c32dd368d502656eb45d
10
Commits
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64169c4aee |
Fix test factory Provider collision from ingestion-cascade tests
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tests/integration/factories.py:make_provider did a raw INSERT assuming no "tmdb" Provider row existed yet. That held as long as every test used the db_session fixture's isolated, rolled-back transaction -- but the new ingestion-cascade tests call get_or_create_ingestion_job, which really commits via session_scope()'s own connection, outside that per-test isolation. Once that ran, every later test using the raw-insert factory hit "duplicate key value violates unique constraint uq_providers_slug". Fixed by using the app's own get_or_create_provider in the factory instead of a bare insert, which is also just correct: provider slugs are unique in production too, so the test helper should behave the same way real ingestion code does rather than assume a pristine table. Co-Authored-By: Claude Sonnet 5 <[email protected]> |
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b4d1e8f755 |
Add opt-in season cascade to series ingestion
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Ingesting a series only ever produced season stubs -- getting actual episodes meant calling POST /admin/ingest/season once per season by hand, which is exactly what manual end-to-end testing kept requiring for every multi-season show. POST /api/v1/admin/ingest/series now takes include_seasons (default false, since a show can have dozens of seasons and that's dozens of TMDb calls fired from one request). When true, ingest_series_task fans out one ingest_season job per season once the series succeeds, using arq's own ctx['redis'] connection for the job (the same pattern arq's docs recommend for job chaining) rather than a second unrelated connection. Each fanned-out season job still goes through get_or_create_ingestion_job, so re-running a cascaded series ingestion reuses the same season job rows instead of creating duplicates. Co-Authored-By: Claude Sonnet 5 <[email protected]> |
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ec6b5bdd7d |
Surface series/episode credits in person filmography
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/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]>
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e6841badf8 |
Fix worker never picking up code changes after restart
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docker compose restart worker looked like it should reflect new code (docker-compose.yml bind-mounts ./app:/app/app for dev), but the worker Dockerfile installed the app package non-editably (pip install .), which copies a frozen snapshot into site-packages at image build time. The bare `arq` console-script just imports whatever site-packages says `app` is -- unlike uvicorn --reload, which explicitly resolves its import string against the CWD -- so the worker silently kept running whatever code existed at the last `docker compose up --build`, no matter how many times it was restarted or how recent the git pull was. Confirmed live: after pulling the series/season ingestion pipeline and restarting, the worker log still read "Starting worker for 2 functions: ingest_movie_task, ingest_person_task" -- proof it never saw ingest_series_task/ingest_season_task at all. Switching to `pip install -e .` makes site-packages point at /app by absolute path instead of a frozen copy, so the same bind mount that already worked for the API now actually reaches the worker process too -- a plain restart after `git pull` is enough going forward. Applied to both Dockerfiles for consistency, since the API's working behavior was incidental to uvicorn, not something to rely on either. Co-Authored-By: Claude Sonnet 5 <[email protected]> |
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3acf00e9f0 |
Fix test bug: await inside a generator expression passed to all()
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Python turns a generator expression containing await into an async generator (since it's evaluated inside an async def), which the built-in all() can't consume -- it raised "TypeError: 'async_generator' object is not iterable" rather than testing anything. Replaced with a plain loop. Found by actually running the new integration tests. Co-Authored-By: Claude Sonnet 5 <[email protected]> |
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3f6332559a |
Add series/season/episode ingestion pipeline
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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]>
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669034896a |
Fix job_id mismatch between ingestion enqueue and status endpoints
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POST /api/v1/admin/ingest/movie returned arq's own internal queue
job id, but GET /api/v1/admin/ingest/jobs/{job_id} looked up our
IngestionJob DB row by its own UUID -- a completely different id that
didn't even exist yet at enqueue time (the row was only created once
the worker picked up the task). Every status poll 404'd.
Fix: create the IngestionJob row synchronously in the enqueue endpoint
(reusing the existing idempotency-key logic, so repeat enqueues for
the same tmdb_id reuse the same row rather than creating duplicates),
pass its real id into the arq task, and have the worker update that
row instead of creating a new one.
Found by actually running the milestone end-to-end: enqueue a real
TMDb ingestion, then poll its status.
Co-Authored-By: Claude Sonnet 5 <[email protected]>
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dd6ecce78d |
Fix asyncpg cross-event-loop errors in the integration test suite
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tests/conftest.py's `engine` fixture is session-scoped (one asyncpg engine/schema for the whole run, for speed), but pytest-asyncio's default is a fresh event loop per test function. asyncpg connections are bound to the event loop that created them, so every test after the first failed with "cannot perform operation: another operation is in progress" or "attached to a different loop" the moment it touched the database. Pinning both the fixture and test loop scope to "session" in pyproject.toml keeps everything on one loop, matching the session-scoped engine. Found by actually running the integration suite for the first time, against real PostgreSQL + Redis on a devbox. Co-Authored-By: Claude Sonnet 5 <[email protected]> |
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5b38226818 |
Fix duplicate enum type creation in initial migration
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Postgres ENUM columns auto-create their type as a side effect of the first CREATE TABLE that uses them; since the migration also explicitly pre-creates all 7 enum types up front (to group and control that DDL alongside their explicit drop in downgrade()), the two collided with "type already exists" on the first table past the first enum's owner. create_type=False on each ENUM tells SQLAlchemy the migration manages that DDL itself. Found by running the migration against a real PostgreSQL for the first time (docker compose up on a devbox) — this repo had no Docker/Postgres available to test against when the migration was originally written. Co-Authored-By: Claude Sonnet 5 <[email protected]> |
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c20df1c503 |
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]> |