Merge pull request 'Release: GPU re-process trigger (apply new crop detectors to the existing library)' (#156) from dev into main
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This commit was merged in pull request #156.
This commit is contained in:
2026-06-30 16:13:36 -04:00
5 changed files with 94 additions and 1 deletions
+13
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@@ -96,6 +96,19 @@ async def backfill():
return jsonify({"celery_task_id": r.id, "task": task}), 202
@gpu_bp.route("/reprocess", methods=["POST"])
async def reprocess():
"""Reset every done/error job of `task` back to pending so the agent re-runs
the WHOLE library under the current pipeline (e.g. after adding crop
detectors). Heavy — the back-catalogue is otherwise skipped by the backfills."""
body = await request.get_json(silent=True) or {}
task = str(body.get("task") or "ccip")
from ..tasks.ml import reprocess_gpu_jobs
r = reprocess_gpu_jobs.delay(task)
return jsonify({"celery_task_id": r.id, "task": task}), 202
# --- Agent (bearer token): lease / submit / heartbeat / fail ------------
@gpu_bp.route("/jobs/lease", methods=["POST"])
+31
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@@ -549,6 +549,37 @@ def recover_orphaned_gpu_jobs() -> int:
return res.rowcount or 0
@celery.task(name="backend.app.tasks.ml.reprocess_gpu_jobs")
def reprocess_gpu_jobs(task_name: str = "ccip") -> int:
"""Reset every done/error job of `task_name` back to pending so the agent
re-runs the WHOLE library under the CURRENT pipeline — e.g. after adding crop
detectors (#1202), re-cropping existing images. Heavy + operator-triggered;
the back-catalogue won't otherwise re-process (the backfills skip images that
already have current-version regions). Returns the number reset."""
from datetime import UTC, datetime
from sqlalchemy import update
from ..models import GpuJob
SessionLocal = _sync_session_factory()
with SessionLocal() as session:
now = datetime.now(UTC)
res = session.execute(
update(GpuJob)
.where(
GpuJob.task == task_name,
GpuJob.status.in_(["done", "error"]),
)
.values(
status="pending", attempts=0, lease_token=None, leased_at=None,
lease_expires_at=None, updated_at=now,
)
)
session.commit()
return res.rowcount or 0
@celery.task(
name="backend.app.tasks.ml.scheduled_ccip_auto_apply",
soft_time_limit=1800, time_limit=2100,
@@ -71,6 +71,16 @@
images get these automatically; this catches the back-catalogue.
</p>
<v-btn
class="mt-3" color="warning" variant="tonal" rounded="pill" size="small"
prepend-icon="mdi-backup-restore" :loading="reprocessing" @click="onReprocess"
>Re-process library (re-detect + re-crop)</v-btn>
<p class="fc-muted text-caption mt-2 mb-0">
Re-runs the FULL pipeline (figure detection + CCIP + concept/panel crops) on
<b>every</b> image use after changing crop detectors so the back-catalogue
gets re-cropped, not just new images. Heavy: re-processes the whole library.
</p>
<!-- Match strictness -->
<div class="fc-section-h mt-5 mb-1">Character-match strictness</div>
<div v-if="ml.settings" class="d-flex align-center" style="gap:12px">
@@ -157,6 +167,7 @@ const masked = ref(true)
const rotating = ref(false)
const backfilling = ref(false)
const backfillingSiglip = ref(false)
const reprocessing = ref(false)
const threshold = ref(0.85)
const savingThreshold = ref(false)
const autoApply = ref(true)
@@ -307,6 +318,20 @@ async function onBackfillSiglip() {
backfillingSiglip.value = false
}
}
async function onReprocess() {
if (!window.confirm('Re-process the ENTIRE library (re-detect + re-crop every image)? This is heavy and runs on the GPU agent.')) return
reprocessing.value = true
try {
await store.reprocess('ccip')
toast({ text: 'Library queued for re-processing — run the agent to drain it', type: 'success' })
await refreshQueue()
} catch (e) {
toast({ text: `Could not start re-process: ${e.message}`, type: 'error' })
} finally {
reprocessing.value = false
}
}
</script>
<style scoped>
+7 -1
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@@ -29,5 +29,11 @@ export const useGpuStore = defineStore('gpu', () => {
return await api.post('/api/gpu/backfill', { body: { task } })
}
return { token, rotateToken, status, backfill }
// Reset every done/error `task` job to pending → re-run the WHOLE library
// under the current pipeline (e.g. after adding crop detectors).
async function reprocess(task = 'ccip') {
return await api.post('/api/gpu/reprocess', { body: { task } })
}
return { token, rotateToken, status, backfill, reprocess }
})
+18
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@@ -91,6 +91,24 @@ async def test_enqueue_embed_backfill_selects_stale_and_unembedded(db):
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.ml 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)