Files
FabledCurator/tests/test_gpu_triage.py
T
bvandeusen a7abcc41ca feat(triage): failed-processing triage — probe errored files, flag defects, recover (#125 C1-C3)
An errored GPU job's stored reason is a suspicion; the file probe is the
verdict. A 15-min beat sweep (triage_gpu_errors) runs verify_integrity's own
probe (sha256 + decode) on each errored image ONCE and writes both verdicts:
ImageRecord.integrity_status and the new GpuJob.triage_status ('defect' |
'file_ok', migration 0072). Every classification logs at WARNING so it
surfaces in Logs/System Activity.

- 'defect' rows are excluded from /retry_errors (re-running a known-bad file
  burns agent time re-minting the tombstone); response now reports
  defects_kept and the GpuAgentCard toast says so.
- GET /api/gpu/errors: triage view — reason buckets (classify_reason),
  probe verdicts, per-job detail. POST /errors/triage runs the sweep now.
- POST /api/gpu/errors/<id>/recover: reuses the Layer-2 refetch pattern —
  delete the defective copy + record (full cascade takes the tombstones too)
  and re-poll its subscription Source so a fresh copy re-imports and re-enters
  the pipeline; 'no_source' when nothing pollable resolves.
- New 'Failed processing' card (GpuTriageCard) in Maintenance: verdict counts,
  reason summary, probe-now, defect list with thumbnails + per-image Recover.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM
2026-07-02 12:36:02 -04:00

166 lines
5.9 KiB
Python

"""Failure triage (#125): probe errored jobs' files, flag verdicts, recover.
The probe is the arbiter: reason strings only bucket the overview. A file that
passes checksum+decode is 'file_ok' (operational failure); anything else is a
'defect' — surfaced for recovery and excluded from /retry_errors.
"""
import hashlib
import pytest
from PIL import Image as PILImage
from sqlalchemy import select
from backend.app.models import (
Artist,
GpuJob,
ImageProvenance,
ImageRecord,
Post,
Source,
)
from backend.app.services.ml.gpu_triage import (
classify_reason,
recover_defective_image,
triage_errored_jobs,
)
pytestmark = pytest.mark.integration
def test_classify_reason_buckets():
assert classify_reason(
"no frames sampled from video — moov atom not found"
) == "truncated_or_corrupt"
assert classify_reason("ffmpeg timed out after 1200s") == "timeout"
assert classify_reason(
"gave up after repeated transient failures: HTTPConnectionPool read timed out"
) == "transient"
assert classify_reason(
"poisoned: 10+ lease attempts without ever completing"
) == "poisoned"
assert classify_reason("cannot identify image file") == "decode"
assert classify_reason("something novel") == "other"
assert classify_reason(None) == "other"
async def _errored_image(db, tmp_path, *, name, sha, content: bytes | None,
error="no frames sampled from video — moov atom not found"):
"""An ImageRecord (file written iff content is not None) + an errored job."""
path = tmp_path / name
if content is not None:
path.write_bytes(content)
img = ImageRecord(
path=str(path), sha256=sha, size_bytes=1, mime="image/png",
width=1, height=1, origin="imported_filesystem",
integrity_status="unknown",
)
db.add(img)
await db.flush()
db.add(GpuJob(image_record_id=img.id, task="ccip", status="error",
error=error, attempts=3))
await db.flush()
return img
@pytest.mark.asyncio
async def test_triage_probes_and_splits_defect_vs_file_ok(db, tmp_path):
# Healthy: a real PNG whose recorded sha matches its bytes → file_ok.
ok_path = tmp_path / "fine.png"
PILImage.new("RGB", (4, 4), (200, 30, 30)).save(ok_path)
ok_sha = hashlib.sha256(ok_path.read_bytes()).hexdigest()
ok = await _errored_image(db, tmp_path, name="fine.png", sha=ok_sha,
content=None, error="ffmpeg timed out after 1200s")
# Corrupt: bytes don't match the recorded sha → defect.
bad = await _errored_image(db, tmp_path, name="bad.png", sha="0" * 64,
content=b"not a real png")
# Missing: no file on disk at all → defect (failed_verification).
gone = await _errored_image(db, tmp_path, name="gone.png", sha="1" * 64,
content=None)
await db.commit()
summary = await db.run_sync(lambda s: triage_errored_jobs(s))
assert summary["probed"] == 3
assert summary["defect"] == 2
assert summary["file_ok"] == 1
assert summary["partial"] is False
# Column selects, not ORM refresh — the sweep wrote via Core DML.
rows = dict((await db.execute(
select(GpuJob.image_record_id, GpuJob.triage_status)
.where(GpuJob.status == "error")
)).all())
assert rows[ok.id] == "file_ok"
assert rows[bad.id] == "defect"
assert rows[gone.id] == "defect"
verdicts = dict((await db.execute(
select(ImageRecord.id, ImageRecord.integrity_status)
.where(ImageRecord.id.in_([ok.id, bad.id, gone.id]))
)).all())
assert verdicts[ok.id] == "ok"
assert verdicts[bad.id] == "corrupt"
assert verdicts[gone.id] == "failed_verification"
# Idempotent: everything already triaged → no re-probe.
again = await db.run_sync(lambda s: triage_errored_jobs(s))
assert again["probed"] == 0
@pytest.mark.asyncio
async def test_recover_without_pollable_source_reports_no_source(db, tmp_path):
img = await _errored_image(db, tmp_path, name="orphan.png", sha="2" * 64,
content=b"x")
await db.commit()
res = await db.run_sync(
lambda s: recover_defective_image(s, img.id, images_root=tmp_path)
)
assert res["status"] == "no_source"
still_there = (await db.execute(
select(ImageRecord.id).where(ImageRecord.id == img.id)
)).scalar_one_or_none()
assert still_there == img.id
@pytest.mark.asyncio
async def test_recover_deletes_record_and_requeues_source(
client, db, tmp_path, monkeypatch,
):
img = await _errored_image(db, tmp_path, name="fixme.png", sha="3" * 64,
content=b"x")
artist = Artist(name="Recov", slug="recov")
db.add(artist)
await db.flush()
src = Source(artist_id=artist.id, platform="patreon",
url="https://www.patreon.com/recov", enabled=True)
db.add(src)
await db.flush()
post = Post(artist_id=artist.id, source_id=src.id, external_post_id="p1")
db.add(post)
await db.flush()
db.add(ImageProvenance(image_record_id=img.id, post_id=post.id,
source_id=src.id))
img_id, src_id = img.id, src.id
await db.commit()
queued = []
monkeypatch.setattr(
"backend.app.tasks.download.download_source.delay",
lambda sid: queued.append(sid),
)
resp = await client.post(f"/api/gpu/errors/{img_id}/recover")
assert resp.status_code == 200
body = await resp.get_json()
assert body["status"] == "refetch_queued"
assert body["source_id"] == src_id
assert queued == [src_id]
# Record gone — the error tombstones cascade away with it.
remaining = (await db.execute(
select(ImageRecord.id).where(ImageRecord.id == img_id)
)).scalar_one_or_none()
assert remaining is None
jobs_left = (await db.execute(
select(GpuJob.id).where(GpuJob.image_record_id == img_id)
)).scalars().all()
assert jobs_left == []