feat(gpu): "Retry errored jobs" — scoped requeue of errors only
After an agent-side fix (e.g. the short-video sampler), the errored jobs
(~2.8k) have exhausted their 3 attempts and stay parked: backfill skips
images that already have a job, and /reprocess is the nuclear option (it
resets the 179k DONE jobs too). There was no way to re-run just the errors.
POST /api/gpu/retry_errors resets every status='error' job (all task types)
to pending with attempts=0 and the stored error cleared — a small inline
UPDATE that returns {requeued: n} so the UI toast can show the count.
UI: a "Retry errored jobs" button on the GPU-agent card, right under the
queue tiles; disabled when errored==0. With the agent now logging ffmpeg's
stderr on failure, retrying also reveals which errors were real vs victims
of the fps-filter bug.
Test: retry_errors requeues the errored job (fresh attempts, error cleared)
and leaves done work untouched; asserts via column selects (Core-DML
gotcha), not ORM refresh.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
This commit is contained in:
+22
-1
@@ -11,7 +11,7 @@ homelab admin.
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import secrets
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from quart import Blueprint, jsonify, request
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from sqlalchemy import func, select
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from sqlalchemy import func, select, update
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from sqlalchemy.dialects.postgresql import insert as pg_insert
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from ..extensions import get_session
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@@ -109,6 +109,27 @@ async def reprocess():
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return jsonify({"celery_task_id": r.id, "task": task}), 202
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@gpu_bp.route("/retry_errors", methods=["POST"])
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async def retry_errors():
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"""Requeue every ERRORED job (all task types) back to pending — the scoped
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recovery after an agent-side fix (e.g. the short-video sampler), where
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/reprocess would needlessly re-run the whole done library too. Attempts and
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the stored error reset so each job gets its full retry budget under the
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fixed pipeline. Small row count (errors only) → inline UPDATE, and the
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response carries the number requeued for the UI toast."""
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async with get_session() as session:
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res = await session.execute(
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update(GpuJob)
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.where(GpuJob.status == "error")
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.values(
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status="pending", attempts=0, error=None, lease_token=None,
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leased_at=None, lease_expires_at=None, updated_at=func.now(),
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)
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)
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await session.commit()
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return jsonify({"requeued": res.rowcount or 0})
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# --- Agent (bearer token): lease / submit / heartbeat / fail ------------
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@gpu_bp.route("/jobs/lease", methods=["POST"])
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@@ -52,6 +52,17 @@
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<div class="fc-q"><div class="fc-q__n" :class="queue.error ? 'fc-weak' : ''">{{ queue.error }}</div><div class="fc-q__l">errored</div></div>
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</div>
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<v-btn
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class="mt-3" color="accent" variant="tonal" rounded="pill" size="small"
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prepend-icon="mdi-restart-alert" :loading="retrying"
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:disabled="!queue.error" @click="onRetryErrors"
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>Retry errored jobs</v-btn>
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<p class="fc-muted text-caption mt-2 mb-0">
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Errored jobs park after 3 failed attempts. This requeues just those (their
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errors cleared, attempts reset) — use after updating the agent, without
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re-running the whole done library.
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</p>
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<v-btn
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class="mt-4" color="accent" variant="tonal" rounded="pill" size="small"
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prepend-icon="mdi-account-box-multiple" :loading="backfilling" @click="onBackfill"
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@@ -164,6 +175,7 @@ const rotating = ref(false)
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const backfilling = ref(false)
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const backfillingSiglip = ref(false)
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const reprocessing = ref(false)
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const retrying = ref(false)
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const threshold = ref(0.85)
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const savingThreshold = ref(false)
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const autoApply = ref(true)
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@@ -323,6 +335,19 @@ async function onBackfillSiglip() {
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}
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}
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async function onRetryErrors() {
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retrying.value = true
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try {
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const { requeued } = await store.retryErrors()
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toast({ text: `Requeued ${requeued} errored job${requeued === 1 ? '' : 's'} — run the agent to process them`, type: 'success' })
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await refreshQueue()
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} catch (e) {
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toast({ text: `Could not retry errored jobs: ${e.message}`, type: 'error' })
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} finally {
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retrying.value = false
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}
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}
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async function onReprocess() {
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if (!window.confirm('Re-process the ENTIRE library (re-detect + re-crop every image)? This is heavy and runs on the GPU agent.')) return
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reprocessing.value = true
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@@ -35,5 +35,11 @@ export const useGpuStore = defineStore('gpu', () => {
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return await api.post('/api/gpu/reprocess', { body: { task } })
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}
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return { token, rotateToken, status, backfill, reprocess }
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// Requeue ONLY the errored jobs (all task types) — the scoped recovery after
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// an agent fix, without re-running the done library. Returns { requeued }.
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async function retryErrors() {
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return await api.post('/api/gpu/retry_errors')
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}
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return { token, rotateToken, status, backfill, reprocess, retryErrors }
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})
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+38
-1
@@ -1,7 +1,8 @@
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"""GPU-job HTTP API (#114): bearer auth + lease/submit round-trip + backfill."""
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import pytest
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from sqlalchemy import select
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from backend.app.models import ImageRecord
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from backend.app.models import GpuJob, ImageRecord
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from backend.app.services.ml.gpu_jobs import GpuJobService
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from backend.app.services.ml.regions import RegionService
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@@ -148,3 +149,39 @@ async def test_release_hands_job_back_to_pending(client, db):
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assert resp.status_code == 200 and (await resp.get_json())["released"] == 1
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st = await (await client.get("/api/gpu/status")).get_json()
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assert st["pending"] == 1 and st["leased"] == 0
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@pytest.mark.asyncio
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async def test_retry_errors_requeues_only_errored(client, db):
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"""/retry_errors resets ERRORED jobs (any task) to pending with a fresh
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retry budget — and leaves done work untouched (it is NOT /reprocess)."""
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img1 = await _img(db, "1" * 64)
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img2 = await _img(db, "2" * 64)
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svc = GpuJobService(db)
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j_err = await svc.enqueue(img1.id, "ccip")
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j_done = await svc.enqueue(img2.id, "siglip")
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err_id = j_err.id
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done_id = j_done.id
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j_err.status = "error"
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j_err.attempts = 3
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j_err.error = "no frames sampled from video (unprocessable)"
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j_done.status = "done"
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await db.commit()
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resp = await client.post("/api/gpu/retry_errors")
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assert resp.status_code == 200
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assert (await resp.get_json())["requeued"] == 1
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# Column selects, not ORM refresh — the route wrote via Core DML.
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row = (await db.execute(
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select(GpuJob.status, GpuJob.attempts, GpuJob.error)
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.where(GpuJob.id == err_id)
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)).one()
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assert tuple(row) == ("pending", 0, None)
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done_status = await db.scalar(
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select(GpuJob.status).where(GpuJob.id == done_id)
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)
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assert done_status == "done"
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st = await (await client.get("/api/gpu/status")).get_json()
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assert st["pending"] == 1 and st["error"] == 0
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