feat(b3): ml-worker becomes optional — embed-only role, decoupled GPU coordination, cpu-embed switch
The ml-worker's ONLY processing role is now the CPU whole-image embed fallback (tag_and_embed renamed embed_image — Camie tagging was retired #1189 and the name kept implying otherwise; videos were already handled agent-style: frame sampling + mean-pool). Detection/cropping/CCIP stay GPU-agent-only, and their completion is judged per-pipeline: ccip by gpu_job rows, siglip by concept regions at the current model version — never by image_record.siglip_embedding. A CPU embed therefore can NEVER close crop work for the agent (regression test pins this; only the whole-image 'embed' job, the same artifact, is satisfied). Making removal actually safe (operator will drop the container): - GPU-queue coordination (enqueue_gpu_backfill, recover_orphaned_gpu_jobs, reprocess_gpu_jobs) moved verbatim to tasks/gpu_queue.py on the maintenance quick lane — it lived on the 'ml' queue only by module colocation, which made the ml-worker a hard dependency of the whole agent pipeline. - New ml_settings.cpu_embed_enabled (migration 0074, default ON so agent-less installs keep working): OFF stops the four import hooks queueing embed work nothing will consume and no-ops the manual backfill; switch lives on the renamed 'CPU embedding backfill' card. - NB heads training / auto-apply still run on the ml image (sklearn) — a stack that removes the container gives those up too. Deploy note: in-flight messages under the old task names are dropped by the new workers; the 60s orphan sweep + hourly backfill re-fire under the new names immediately. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM
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@@ -46,7 +46,7 @@ def test_reextract_links_archive_members_to_post(db_sync, tmp_path, monkeypatch)
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# No broker in this path — the post-import enqueue is best-effort anyway.
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monkeypatch.setattr(thumb_mod.generate_thumbnail, "delay", lambda *a, **k: None)
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monkeypatch.setattr(ml_mod.tag_and_embed, "delay", lambda *a, **k: None)
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monkeypatch.setattr(ml_mod.embed_image, "delay", lambda *a, **k: None)
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images_root = tmp_path / "images"
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images_root.mkdir()
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@@ -116,7 +116,7 @@ def test_reextract_timebox_resumes_from_cursor(db_sync, tmp_path, monkeypatch):
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from backend.app.tasks import thumbnail as thumb_mod
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monkeypatch.setattr(thumb_mod.generate_thumbnail, "delay", lambda *a, **k: None)
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monkeypatch.setattr(ml_mod.tag_and_embed, "delay", lambda *a, **k: None)
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monkeypatch.setattr(ml_mod.embed_image, "delay", lambda *a, **k: None)
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images_root = tmp_path / "images"
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images_root.mkdir()
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