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FabledCurator/tests/test_gpu_jobs.py
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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
2026-07-02 16:53:08 -04:00

351 lines
12 KiB
Python

"""GPU-job queue engine (#114): enqueue dedupe + lease/heartbeat/complete/fail."""
from datetime import UTC, datetime, timedelta
import pytest
from sqlalchemy import func, select
from backend.app.models import GpuJob, ImageRecord, ImageRegion
from backend.app.services.ml.gpu_jobs import (
EXPIRED_POISON_CAP,
PENDING_POISON_CAP,
GpuJobService,
)
pytestmark = pytest.mark.integration
async def _img(db, sha) -> ImageRecord:
img = ImageRecord(
path=f"/images/{sha}.jpg", sha256=sha, size_bytes=1, mime="image/jpeg",
width=1, height=1, origin="imported_filesystem", integrity_status="unknown",
)
db.add(img)
await db.flush()
return img
@pytest.mark.asyncio
async def test_enqueue_siglip_backfill_gates_on_concept_region(db):
# 'siglip' backfill enqueues images that lack a concept region (the
# back-catalogue) and skips ones that already have one — and never double-
# enqueues an image that already has a pending siglip job.
from backend.app.models import MLSettings
from backend.app.tasks.gpu_queue import enqueue_gpu_backfill
cur = (await db.execute(
select(MLSettings.embedder_model_version).where(MLSettings.id == 1)
)).scalar_one()
need = await _img(db, "e1" * 32) # no concept region → wants one
have = await _img(db, "e2" * 32) # concept @ current version → skip
db.add(ImageRegion(
image_record_id=have.id, kind="concept", rx=0.0, ry=0.0, rw=1.0, rh=1.0,
siglip_embedding=[0.0] * 1152, embedding_version=cur,
))
await db.commit()
assert enqueue_gpu_backfill("siglip") >= 1
queued = {
j.image_record_id for j in (
await db.execute(select(GpuJob).where(GpuJob.task == "siglip"))
).scalars()
}
assert need.id in queued
assert have.id not in queued
# Idempotent: the now-pending job means a second run doesn't re-enqueue it.
enqueue_gpu_backfill("siglip")
n_for_need = (
await db.execute(
select(func.count()).select_from(GpuJob).where(
GpuJob.task == "siglip", GpuJob.image_record_id == need.id
)
)
).scalar_one()
assert n_for_need == 1
@pytest.mark.asyncio
async def test_enqueue_embed_backfill_selects_stale_and_unembedded(db):
# Whole-image GPU re-embed (#1190): enqueue images with no embedding or one
# stamped under a DIFFERENT model version (an operator swap); skip ones
# already at the current version.
from backend.app.models import MLSettings
from backend.app.tasks.gpu_queue import enqueue_gpu_backfill
cur = (await db.execute(
select(MLSettings.embedder_model_version).where(MLSettings.id == 1)
)).scalar_one()
current = await _img(db, "f1" * 32)
current.siglip_embedding = [0.0] * 1152
current.siglip_model_version = cur # up to date → skip
stale = await _img(db, "f2" * 32)
stale.siglip_embedding = [0.0] * 1152
stale.siglip_model_version = "old-embedder-v0" # wrong space → re-embed
unembedded = await _img(db, "f3" * 32) # never embedded → embed
await db.commit()
assert enqueue_gpu_backfill("embed") >= 2
queued = {
j.image_record_id for j in (
await db.execute(select(GpuJob).where(GpuJob.task == "embed"))
).scalars()
}
assert stale.id in queued and unembedded.id in queued
assert current.id not in queued
@pytest.mark.asyncio
async def test_reprocess_resets_done_jobs_to_pending(db):
# Re-process (#1202): done/error jobs of a task go back to pending so the
# agent re-runs the whole library under the current pipeline.
from backend.app.tasks.gpu_queue import reprocess_gpu_jobs
img = await _img(db, "r1" * 32)
job = await GpuJobService(db).enqueue(img.id, "ccip")
job.status = "done"
job.attempts = 2
await db.commit()
assert reprocess_gpu_jobs("ccip") >= 1
await db.refresh(job)
assert job.status == "pending"
assert job.attempts == 0
@pytest.mark.asyncio
async def test_enqueue_dedupes_same_pair(db):
img = await _img(db, "a" * 64)
svc = GpuJobService(db)
first = await svc.enqueue(img.id, "ccip")
dup = await svc.enqueue(img.id, "ccip")
other = await svc.enqueue(img.id, "siglip_region")
await db.commit()
assert first is not None
assert dup is None # same (image, task) already queued
assert other is not None # different task is fine
@pytest.mark.asyncio
async def test_lease_claims_then_skips_when_held(db):
img = await _img(db, "b" * 64)
svc = GpuJobService(db)
await svc.enqueue(img.id, "ccip")
await db.commit()
leased = await svc.lease("agent-1", batch_size=8)
await db.commit()
assert len(leased) == 1
assert leased[0].status == "leased" and leased[0].lease_token == "agent-1"
assert leased[0].attempts == 1
# Already leased + not expired → a second agent gets nothing.
again = await svc.lease("agent-2", batch_size=8)
await db.commit()
assert again == []
@pytest.mark.asyncio
async def test_lease_skips_done_prefix(db):
# A long prefix of already-done jobs at the LOW ids must not stop the lease
# from reaching the pending ones (the O(done) scan bug this indexing fixes).
svc = GpuJobService(db)
for i in range(5):
j = await svc.enqueue((await _img(db, f"d{i}" * 32)).id, "ccip")
j.status = "done"
target = await svc.enqueue((await _img(db, "dz" * 32)).id, "ccip") # highest id
await db.commit()
leased = await svc.lease("agent-1", batch_size=8)
await db.commit()
assert [j.id for j in leased] == [target.id]
@pytest.mark.asyncio
async def test_expired_lease_is_reclaimed(db):
img = await _img(db, "c" * 64)
svc = GpuJobService(db)
job = await svc.enqueue(img.id, "ccip")
await db.commit()
# Force the lease into the past.
job.status = "leased"
job.lease_token = "dead-agent"
job.lease_expires_at = datetime.now(UTC) - timedelta(minutes=10)
await db.commit()
leased = await svc.lease("agent-2", batch_size=8)
await db.commit()
assert len(leased) == 1
assert leased[0].lease_token == "agent-2"
assert leased[0].attempts == 1 # re-lease incremented from 0 (was set directly)
@pytest.mark.asyncio
async def test_heartbeat_extends_only_own_lease(db):
img = await _img(db, "d" * 64)
svc = GpuJobService(db)
await svc.enqueue(img.id, "ccip")
await db.commit()
job = (await svc.lease("agent-1"))[0]
await db.commit()
assert await svc.heartbeat("agent-1", [job.id]) == 1
assert await svc.heartbeat("someone-else", [job.id]) == 0
@pytest.mark.asyncio
async def test_complete_closes_job(db):
img = await _img(db, "e" * 64)
svc = GpuJobService(db)
await svc.enqueue(img.id, "ccip")
await db.commit()
job = (await svc.lease("agent-1"))[0]
await db.commit()
assert await svc.complete("wrong-token", job.id) is False
assert await svc.complete("agent-1", job.id) is True
await db.commit()
fresh = await db.get(GpuJob, job.id)
assert fresh.status == "done" and fresh.lease_token is None
@pytest.mark.asyncio
async def test_fail_requeues_until_cap(db):
img = await _img(db, "f" * 64)
svc = GpuJobService(db)
await svc.enqueue(img.id, "ccip")
await db.commit()
job = (await svc.lease("agent-1"))[0] # attempts -> 1
await db.commit()
# Under the cap → back to pending for a retry.
assert await svc.fail("agent-1", job.id, "boom") is True
await db.commit()
assert (await db.get(GpuJob, job.id)).status == "pending"
# At the attempt cap → terminal 'error'.
j = await db.get(GpuJob, job.id)
j.attempts = 3
j.status = "leased"
j.lease_token = "agent-1"
j.lease_expires_at = datetime.now(UTC) + timedelta(minutes=5)
await db.commit()
assert await svc.fail("agent-1", job.id, "boom again") is True
await db.commit()
assert (await db.get(GpuJob, job.id)).status == "error"
@pytest.mark.asyncio
async def test_release_returns_to_pending(db):
img = await _img(db, "01" + "a" * 62)
svc = GpuJobService(db)
await svc.enqueue(img.id, "ccip")
await db.commit()
job = (await svc.lease("agent-1"))[0]
await db.commit()
assert await svc.release("other", [job.id]) == 0 # not this token's lease
assert await svc.release("agent-1", [job.id]) == 1 # graceful hand-back
await db.commit()
fresh = await db.get(GpuJob, job.id)
assert fresh.status == "pending" and fresh.lease_token is None
@pytest.mark.asyncio
async def test_recover_orphaned_resets_only_expired(db):
img1 = await _img(db, "02" + "a" * 62)
img2 = await _img(db, "03" + "a" * 62)
svc = GpuJobService(db)
await svc.enqueue(img1.id, "ccip")
await svc.enqueue(img2.id, "ccip")
await db.commit()
expired, fresh = await svc.lease("dead", batch_size=2)
# One lease is in the past (orphaned), the other still valid.
expired.lease_expires_at = datetime.now(UTC) - timedelta(minutes=10)
await db.commit()
assert await svc.recover_orphaned() == 1
await db.commit()
assert (await db.get(GpuJob, expired.id)).status == "pending"
assert (await db.get(GpuJob, fresh.id)).status == "leased" # untouched
@pytest.mark.asyncio
async def test_backfill_skips_errored_images(db):
# An errored job is a TOMBSTONE for its (image, task): no backfill variant
# re-enqueues it — retry is deliberate-only (/retry_errors). Pre-fix, the
# hourly ccip run minted a fresh doomed job per bad file forever.
from backend.app.tasks.gpu_queue import enqueue_gpu_backfill
img = await _img(db, "f1" * 32)
svc = GpuJobService(db)
for task in ("ccip", "siglip", "embed"):
job = await svc.enqueue(img.id, task)
job.status = "error"
job.error = "no frames sampled from video"
await db.commit()
assert enqueue_gpu_backfill("ccip") == 0
assert enqueue_gpu_backfill("siglip") == 0
assert enqueue_gpu_backfill("embed") == 0
@pytest.mark.asyncio
async def test_backfill_prunes_moot_error_tombstones(db):
# Loop-era duplicates: several error rows for one (image, task), all made
# moot by a later done row. The backfill's dedupe pass removes them, and
# the done row still blocks re-enqueue.
from backend.app.tasks.gpu_queue import enqueue_gpu_backfill
img = await _img(db, "f2" * 32)
for i in range(3):
db.add(GpuJob(
image_record_id=img.id, task="ccip", status="error",
error=f"boom {i}",
))
db.add(GpuJob(image_record_id=img.id, task="ccip", status="done"))
await db.commit()
assert enqueue_gpu_backfill("ccip") == 0
statuses = (await db.execute(
select(GpuJob.status).where(
GpuJob.image_record_id == img.id, GpuJob.task == "ccip"
)
)).scalars().all()
assert statuses == ["done"]
@pytest.mark.asyncio
async def test_recover_poisons_runaway_jobs(db):
# release/expiry loops never reach fail()'s attempt cap — the sweep converts
# them to 'error': an expired lease after EXPIRED_POISON_CAP grants (job
# crashes/wedges the agent every time) and a pending job after
# PENDING_POISON_CAP grants that never completed (transfer stalls forever).
img1 = await _img(db, "06" + "a" * 62)
img2 = await _img(db, "07" + "a" * 62)
svc = GpuJobService(db)
j1 = await svc.enqueue(img1.id, "ccip")
j2 = await svc.enqueue(img2.id, "ccip")
j1.status = "leased"
j1.lease_token = "dead"
j1.lease_expires_at = datetime.now(UTC) - timedelta(minutes=10)
j1.attempts = EXPIRED_POISON_CAP
j2.attempts = PENDING_POISON_CAP
j1_id = j1.id
j2_id = j2.id
await db.commit()
assert await svc.recover_orphaned() == 0 # nothing recovered — both poisoned
await db.commit()
# Column selects, not ORM refresh — the sweep wrote via Core DML.
rows = (await db.execute(
select(GpuJob.id, GpuJob.status, GpuJob.error)
.where(GpuJob.id.in_([j1_id, j2_id]))
)).all()
by_id = {r.id: r for r in rows}
assert by_id[j1_id].status == "error"
assert "poisoned" in by_id[j1_id].error
assert by_id[j2_id].status == "error"
assert "poisoned" in by_id[j2_id].error