4 Commits

Include renames

Author	SHA1	Message	Date
bvandeusen	6959e1220c	Revert "db: collapse alembic 0001..0087 into one baseline" ... This reverts 2529b51. Not a retreat — a reordering, on the operator's call, and the better sequence. The squash's acceptance test (run 4971) found ~130 places where the ORM models do not describe the deployed schema (#3275), including a unique=True the database never had and two UNIQUE indexes that exist only in migrations. Collapsing now would have baked all of that into the one file a public installer starts from. So: fix the drift first as ordinary migrations on the intact chain, let the operator deploy so their database moves to the corrected head, and only then collapse. The baseline is then generated from reconciled models and reproduces a schema worth reproducing. Nothing is lost by reverting. The baseline was never deployed, and regenerating it after the fixes is strictly better than patching this copy — it will come out of autogenerate correct rather than needing the same hand-finishing twice.	2026-08-30 14:34:28 -04:00
bvandeusen	2529b516e6	db: collapse alembic 0001..0087 into one baseline (milestone 328 step 1) ... 87 revisions narrating this project's build-out become one file that creates the schema in a single step. They cost nothing at runtime — all 86 upgrade steps ran in 0.2s (note #3260) — so this is a presentation change, not a performance one: a new installer should not inherit our development history to stand up a database. Deleted: 87 revisions (6,052 lines), the 10 tests/test_migration_*.py files (483 lines) that asserted intermediate states and backfills which no longer exist, and backend/app/utils/artist_backfill.py — the only live module a migration imported, with no other consumer anywhere. That last one satisfies the operator's separate request to inline it into 0008 and delete the module; the squash removes both outright. THE REVISION ID IS "0087", NOT "0001", ON PURPOSE. It is the id of the last revision collapsed, so an existing database is already at head and `alembic upgrade head` does nothing. The alternative is `alembic stamp` against live data, and stamp validates NOTHING — it writes a version string whether or not the schema matches, so a wrong baseline surfaces later, via the next real migration, with no clean way back. This removes that operation rather than making it safe. Future revisions run from 0088. Four things are hand-written because SQLAlchemy metadata does not carry them, and none fail at generation time: 1. CREATE EXTENSION vector — the VECTOR columns cannot be created without it, so it is ordered first in upgrade(). 2. CREATE EXTENSION tsm_system_rows — surfaces only when the random sample query runs. 3. the HNSW index on image_record.siglip_embedding, raw SQL because create_index cannot express USING hnsw (... vector_cosine_ops). The quietest of the four: everything works, similarity search just stops using an index. 4. import pgvector.sqlalchemy.vector — autogenerate EMITS pgvector.sqlalchemy.vector.VECTOR references without importing it, so the generated file dies with NameError on first run. The candidate came out of CI (run 4967) as checksummed base64 rather than a plain cat, because run 4964's cat was truncated mid-line inside a column definition with the step still green — 29 tables instead of 42, and it looked entirely plausible. Verified here: 56,582 bytes, sha256 471acfca69c0…, 42 tables, 66 indexes, 42 drops. NOT YET PROVEN against the old chain. baseline.yml does that, and it is step 2's gate; this commit does not claim the schemas match.	2026-08-30 13:45:35 -04:00
bvandeusenandClaude Opus 4.8	b735432d02	feat(gpu): video-ready regions + the HTTP GPU-job queue engine (#114 slice 3) ... Answers "how are videos/all media handled by the GPU worker": a job is per ITEM, but the agent fans a VIDEO into per-frame instances (ffmpeg in the agent, the existing cadence), each stored with a timestamp — so a video becomes a BAG of frame embeddings (fixes the mean-embedding muddle) instead of one washed-out vector. Stills → frame_time NULL; animated GIF/WebP treated like short video. - image_region.frame_time (migration 0061, not yet deployed so folded in): the source frame's seconds for video/animated media; NULL for stills. RegionService passes it through. A whole frame is just kind='frame'. - gpu_job + GpuJobService (migration 0062): the durable work list that keeps the desktop agent HTTP-only — enqueue (dedupes (image,task)) / lease (FOR UPDATE SKIP LOCKED, re-claims expired leases so the queue self-heals) / heartbeat / complete / fail (re-queues until MAX_ATTEMPTS then 'error'). The server enqueues; the agent leases+submits over the web API; Redis/Postgres stay private. Tests: enqueue dedupe, lease-then-skip-when-held, expired-lease reclaim, scoped heartbeat, complete, fail-requeue-then-error. region test now covers frame_time. NEXT: the thin HTTP API (lease/submit/heartbeat) + bearer-token auth, then the agent container + control UI. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa	2026-06-29 11:18:28 -04:00
bvandeusenandClaude Opus 4.8	0ea7ecdea5	feat(regions): image_region storage + service for the crop pipeline (#114 slice 2) ... The storage backbone both crop jobs write to and read from. image_region = normalized bbox (rx/ry/rw/rh) + kind ('face'/'figure' → CCIP character id; 'concept' → SigLIP head bag) + the crop's embedding (nullable Vector(768) CCIP / Vector(1152) SigLIP, one per kind) + version stamps for compute-once gating. The bbox doubles as grounded-tag provenance. Migration 0061. RegionService.replace_regions (scoped BY KIND so the figure + concept pipelines don't clobber each other) + get_regions — the GPU agent's results endpoint will call the writer; the character matcher + bag scorer read. Server-side, no GPU. Tests: replace/get round-trip, kind-scoped replacement, CCIP vector round-trip. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa	2026-06-29 10:36:52 -04:00