refactor(maintenance): DRY the recover_stalled head-run twins (#161)

recover_stalled_head_training_runs and recover_stalled_head_auto_apply_runs
were near-exact copies (coalesce-flip + keep-last-N prune, differing only in
model + two constants). Extract _recover_stalled_runs(model, stall_minutes,
keep_runs, label); the two tasks become thin wrappers. The other two recover
tasks are deliberately NOT folded in (library-audit has no prune tail; backup
uses a single started_at cutoff). test_recover_stalled_head_runs.py covers
both wrappers (stalled→error, fresh survives) — previously untested.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01NsmJSQxnNxGgtM5Yz4GAqi
This commit is contained in:
2026-07-13 21:41:34 -04:00
parent 666b3a2ec8
commit c87f8a1bb3
2 changed files with 108 additions and 72 deletions
+45 -72
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@@ -776,89 +776,62 @@ def recover_stalled_library_audit_runs() -> int:
return recovered return recovered
def _recover_stalled_runs(model, *, stall_minutes: int, keep_runs: int, label: str) -> int:
"""Shared recovery + retention sweep for the head run-tracking tables
(HeadTrainingRun / HeadAutoApplyRun, which share the
status/last_progress_at/started_at/finished_at/error/id columns): flip 'running'
rows with no progress past `stall_minutes` to 'error', then prune to the last
`keep_runs` (rule 89). Returns the number recovered. NOTE the two other recover
tasks are deliberately NOT folded in — library-audit has no prune tail and
backup uses a single started_at cutoff."""
SessionLocal = _sync_session_factory()
now = datetime.now(UTC)
cutoff = now - timedelta(minutes=stall_minutes)
with SessionLocal() as session:
result = session.execute(
update(model)
.where(model.status == "running")
.where(func.coalesce(model.last_progress_at, model.started_at) < cutoff)
.values(
status="error", finished_at=now,
error=f"stranded by recovery sweep (no progress for {stall_minutes} min)",
)
)
keep = session.execute(
select(model.id).order_by(model.id.desc()).limit(keep_runs)
).scalars().all()
if keep:
session.execute(delete(model).where(model.id.not_in(keep)))
session.commit()
recovered = result.rowcount or 0
if recovered:
log.info("%s: recovered %d rows", label, recovered)
return recovered
@celery.task(name="backend.app.tasks.maintenance.recover_stalled_head_training_runs") @celery.task(name="backend.app.tasks.maintenance.recover_stalled_head_training_runs")
def recover_stalled_head_training_runs() -> int: def recover_stalled_head_training_runs() -> int:
"""Flip HeadTrainingRun rows stuck in 'running' past the stall threshold to """Flip HeadTrainingRun rows stuck in 'running' past the stall threshold to
'error', and prune old runs to the last HEAD_TRAINING_KEEP_RUNS (retention, 'error', and prune old runs to the last HEAD_TRAINING_KEEP_RUNS (retention,
rule 89). Runs every 5 min on the maintenance lane; no-op when idle.""" rule 89). Runs every 5 min on the maintenance lane; no-op when idle."""
SessionLocal = _sync_session_factory() return _recover_stalled_runs(
now = datetime.now(UTC) HeadTrainingRun,
cutoff = now - timedelta(minutes=HEAD_TRAINING_STALL_THRESHOLD_MINUTES) stall_minutes=HEAD_TRAINING_STALL_THRESHOLD_MINUTES,
with SessionLocal() as session: keep_runs=HEAD_TRAINING_KEEP_RUNS,
result = session.execute( label="recover_stalled_head_training_runs",
update(HeadTrainingRun) )
.where(HeadTrainingRun.status == "running")
.where(
func.coalesce(
HeadTrainingRun.last_progress_at, HeadTrainingRun.started_at
)
< cutoff
)
.values(
status="error", finished_at=now,
error=(
f"stranded by recovery sweep (no progress for "
f"{HEAD_TRAINING_STALL_THRESHOLD_MINUTES} min)"
),
)
)
keep = session.execute(
select(HeadTrainingRun.id).order_by(HeadTrainingRun.id.desc())
.limit(HEAD_TRAINING_KEEP_RUNS)
).scalars().all()
if keep:
session.execute(
delete(HeadTrainingRun).where(HeadTrainingRun.id.not_in(keep))
)
session.commit()
recovered = result.rowcount or 0
if recovered:
log.info(
"recover_stalled_head_training_runs: recovered %d rows", recovered
)
return recovered
@celery.task(name="backend.app.tasks.maintenance.recover_stalled_head_auto_apply_runs") @celery.task(name="backend.app.tasks.maintenance.recover_stalled_head_auto_apply_runs")
def recover_stalled_head_auto_apply_runs() -> int: def recover_stalled_head_auto_apply_runs() -> int:
"""Flip stalled HeadAutoApplyRun 'running' rows to 'error' + prune to the """Flip stalled HeadAutoApplyRun 'running' rows to 'error' + prune to the
last HEAD_AUTO_APPLY_KEEP_RUNS (retention, rule 89). 5-min maintenance lane.""" last HEAD_AUTO_APPLY_KEEP_RUNS (retention, rule 89). 5-min maintenance lane."""
SessionLocal = _sync_session_factory() return _recover_stalled_runs(
now = datetime.now(UTC) HeadAutoApplyRun,
cutoff = now - timedelta(minutes=HEAD_AUTO_APPLY_STALL_THRESHOLD_MINUTES) stall_minutes=HEAD_AUTO_APPLY_STALL_THRESHOLD_MINUTES,
with SessionLocal() as session: keep_runs=HEAD_AUTO_APPLY_KEEP_RUNS,
result = session.execute( label="recover_stalled_head_auto_apply_runs",
update(HeadAutoApplyRun) )
.where(HeadAutoApplyRun.status == "running")
.where(
func.coalesce(
HeadAutoApplyRun.last_progress_at, HeadAutoApplyRun.started_at
)
< cutoff
)
.values(
status="error", finished_at=now,
error=(
f"stranded by recovery sweep (no progress for "
f"{HEAD_AUTO_APPLY_STALL_THRESHOLD_MINUTES} min)"
),
)
)
keep = session.execute(
select(HeadAutoApplyRun.id).order_by(HeadAutoApplyRun.id.desc())
.limit(HEAD_AUTO_APPLY_KEEP_RUNS)
).scalars().all()
if keep:
session.execute(
delete(HeadAutoApplyRun).where(HeadAutoApplyRun.id.not_in(keep))
)
session.commit()
recovered = result.rowcount or 0
if recovered:
log.info(
"recover_stalled_head_auto_apply_runs: recovered %d rows", recovered
)
return recovered
# Keep ~6 months of daily head-metric snapshots (enough to see tuning trends). # Keep ~6 months of daily head-metric snapshots (enough to see tuning trends).
+63
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@@ -0,0 +1,63 @@
"""recover_stalled_head_training_runs + recover_stalled_head_auto_apply_runs share
one helper (_recover_stalled_runs, DRY pass #161). These pin BOTH wrappers so the
shared source stays correct: a 'running' row with no progress past the stall
threshold flips to 'error'; a fresh 'running' row is left alone."""
from datetime import UTC, datetime, timedelta
import pytest
from sqlalchemy import select
from backend.app.models import HeadAutoApplyRun, HeadTrainingRun
pytestmark = pytest.mark.integration
def test_recover_stalled_head_training_runs_flips_stalled_keeps_fresh(db_sync):
from backend.app.tasks.maintenance import recover_stalled_head_training_runs
stale = HeadTrainingRun(
params={}, status="running",
last_progress_at=datetime.now(UTC) - timedelta(days=1),
)
fresh = HeadTrainingRun(
params={}, status="running", last_progress_at=datetime.now(UTC),
)
db_sync.add_all([stale, fresh])
db_sync.commit()
stale_id, fresh_id = stale.id, fresh.id
assert recover_stalled_head_training_runs.apply().get() == 1
db_sync.expire_all()
assert db_sync.execute(
select(HeadTrainingRun.status).where(HeadTrainingRun.id == stale_id)
).scalar_one() == "error"
assert db_sync.execute(
select(HeadTrainingRun.status).where(HeadTrainingRun.id == fresh_id)
).scalar_one() == "running"
def test_recover_stalled_head_auto_apply_runs_flips_stalled_keeps_fresh(db_sync):
from backend.app.tasks.maintenance import recover_stalled_head_auto_apply_runs
stale = HeadAutoApplyRun(
dry_run=False, params={}, status="running",
last_progress_at=datetime.now(UTC) - timedelta(days=1),
)
fresh = HeadAutoApplyRun(
dry_run=False, params={}, status="running",
last_progress_at=datetime.now(UTC),
)
db_sync.add_all([stale, fresh])
db_sync.commit()
stale_id, fresh_id = stale.id, fresh.id
assert recover_stalled_head_auto_apply_runs.apply().get() == 1
db_sync.expire_all()
assert db_sync.execute(
select(HeadAutoApplyRun.status).where(HeadAutoApplyRun.id == stale_id)
).scalar_one() == "error"
assert db_sync.execute(
select(HeadAutoApplyRun.status).where(HeadAutoApplyRun.id == fresh_id)
).scalar_one() == "running"