fix(audit-g3): lifecycle batch — recovery sweeps, retention, timeouts
Plugs the FC long-running-entity discipline gaps the 2026-06-02 audit flagged: every entity that can get stuck now has recovery + retention + timeout, and the long-runners no longer collide with the FC-3i sweep. Recovery sweeps (every 5 min): - recover_stalled_backup_runs — flips BackupRun stuck in running/restoring past 7h (covers the 6.5h images-backup hard limit) to error. prune_backups docstring corrected — the FC-3i TaskRun sweep never touched BackupRun rows. - recover_stalled_library_audit_runs — flips LibraryAuditRun stuck past 135 min (10-min buffer above scan_library_for_rule's 2h5m hard limit) to error. Previously a SIGKILL'd row blocked all future audits until manual DB surgery. - recover_stalled_import_batches — finalizes ImportBatch rows stuck running >2h whose child tasks are all terminal (orphan case where the orchestrator crashed before the closing UPDATE). Uses the same EXISTS predicate /api/system/stats already had. Retention (daily): - prune_library_audit_runs — 30-day window. Audit rows carry matched_ids JSONB blobs that can hold tens of thousands of ids. - prune_import_batches — 30-day window. Cascades to ImportTask via the model relationship. time_limits on five long-runners that previously had none (the audit's headline finding — every one of these collided with the recover_stalled_task_runs 5-min default and could be marked 'error' mid-flight): - scan_directory: 60m soft / 70m hard - verify_integrity: 60m / 70m - backfill_phash: 30m / 35m - apply_allowlist_tags: 30m / 35m - recompute_centroids: 30m / 35m QUEUE_STUCK_THRESHOLD_MINUTES now covers maintenance (75) and scan (75) — above the longest task on each — with per-task overrides for the outliers (backup_images_task 420, restore_images_task 420, scan_library_for_rule 130). start_audit_run guard is now age-aware: a 'running' row older than the audit hard limit doesn't block a new run (the sweep will catch it within 5 min). Previously a SIGKILL'd row blocked forever. /api/import/status now uses the same EXISTS predicate /api/system/stats does, so the two endpoints no longer disagree on the active-batch question. DownloadEvent.started_at resets on pending→running so a freshly- promoted event from a busy queue isn't measured against its original enqueue time (was racing recover_stalled_download_events on heavy-queue days).
This commit is contained in:
@@ -35,10 +35,26 @@ async def trigger_scan():
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@import_admin_bp.route("/status", methods=["GET"])
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async def status():
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async with get_session() as session:
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# Active batch = running batch that still has outstanding work.
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# Plain "most recent running" picks freshly-created scans that
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# enqueued zero new files and hides the older batch that's
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# actually being processed. Mirrors the EXISTS predicate
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# /api/system/stats already uses (api/settings.py:145-160).
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# Audit 2026-06-02 — /api/import/status and /api/system/stats
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# used to disagree on the active-batch predicate; the UI banner
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# said "Scanning…" indefinitely while the stats card said idle.
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active = (
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await session.execute(
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select(ImportBatch)
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.where(ImportBatch.status == "running")
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.where(
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ImportBatch.status == "running",
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select(ImportTask.id)
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.where(
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ImportTask.batch_id == ImportBatch.id,
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ImportTask.status.in_(["pending", "queued", "processing"]),
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)
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.exists(),
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)
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.order_by(ImportBatch.started_at.desc())
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.limit(1)
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)
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@@ -105,6 +105,31 @@ def make_celery() -> Celery:
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"task": "backend.app.tasks.backup.prune_backups",
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"schedule": 86400.0, # daily
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},
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# Audit 2026-06-02 — three new per-entity recovery sweeps.
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# Each runs every 5 min like the other recover_stalled_*
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# sweeps; each is a no-op when nothing is stuck.
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"recover-stalled-backup-runs": {
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"task": "backend.app.tasks.maintenance.recover_stalled_backup_runs",
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"schedule": 300.0,
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},
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"recover-stalled-library-audit-runs": {
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"task": "backend.app.tasks.maintenance.recover_stalled_library_audit_runs",
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"schedule": 300.0,
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},
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"recover-stalled-import-batches": {
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"task": "backend.app.tasks.maintenance.recover_stalled_import_batches",
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"schedule": 300.0,
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},
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# Audit 2026-06-02 — daily retention for two entities
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# whose terminal rows otherwise accumulate forever.
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"prune-library-audit-runs": {
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"task": "backend.app.tasks.maintenance.prune_library_audit_runs",
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"schedule": 86400.0,
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},
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"prune-import-batches": {
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"task": "backend.app.tasks.maintenance.prune_import_batches",
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"schedule": 86400.0,
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},
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},
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timezone="UTC",
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)
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@@ -11,7 +11,7 @@ the one-and-done GS/IR migration tooling.)
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"""
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from __future__ import annotations
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from datetime import UTC, datetime
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from datetime import UTC, datetime, timedelta
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from pathlib import Path
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from typing import Any
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@@ -517,6 +517,9 @@ class ConfirmTokenMismatch(Exception):
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_VALID_RULES = ("transparency", "single_color")
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_AUDIT_GUARD_THRESHOLD_MINUTES = 135 # matches LIBRARY_AUDIT_STALL_THRESHOLD_MINUTES
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def start_audit_run(
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session: Session, *, rule: str, params: dict[str, Any],
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) -> int:
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@@ -524,11 +527,21 @@ def start_audit_run(
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scan_library_for_rule Celery task. Returns the new audit_id.
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Concurrent-runs guard: raises AuditAlreadyRunning if any audit_run
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has status='running'. Operator must cancel or wait."""
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has status='running' AND started recently. Audit 2026-06-02 made
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the guard age-aware: a SIGKILL'd run leaves a row in 'running'
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that the recovery sweep flips on its next pass (~5 min), but a
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fresh start_audit_run between the SIGKILL and the sweep would
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previously block forever. Past the threshold, treat the running
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row as stale and let the sweep clean it up — the new run still
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gets to start.
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"""
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if rule not in _VALID_RULES:
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raise ValueError(f"unknown rule {rule!r}; expected one of {_VALID_RULES}")
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cutoff = datetime.now(UTC) - timedelta(minutes=_AUDIT_GUARD_THRESHOLD_MINUTES)
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existing = session.execute(
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select(LibraryAuditRun.id).where(LibraryAuditRun.status == "running")
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select(LibraryAuditRun.id)
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.where(LibraryAuditRun.status == "running")
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.where(LibraryAuditRun.started_at >= cutoff)
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).scalar_one_or_none()
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if existing is not None:
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raise AuditAlreadyRunning(existing)
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@@ -177,6 +177,13 @@ class DownloadService:
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return {"status": "in_flight", "event_id": existing.id}
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if existing and existing.status == "pending":
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existing.status = "running"
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# Reset started_at on the pending→running transition so the
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# recovery sweep (DOWNLOAD_STALL_THRESHOLD_MINUTES, 30 min)
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# measures from real start, not from enqueue. On heavy-queue
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# days a freshly-promoted event whose original started_at
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# predated the cutoff would otherwise get swept mid-flight,
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# racing phase3's commit. Audit 2026-06-02.
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existing.started_at = datetime.now(UTC)
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await self.async_session.commit()
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event_id = existing.id
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else:
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@@ -240,8 +240,11 @@ def prune_backups() -> dict:
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Returns {"db_deleted": N, "images_deleted": M, "files_unlinked": K}.
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Tagged rows (tag IS NOT NULL) are never pruned.
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Status='running' / 'restoring' rows are never pruned (recovery
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sweep from FC-3i handles those via task_run).
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Status='running' / 'restoring' rows are never pruned — the
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recover_stalled_backup_runs sweep flips truly-stuck ones to
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'error' first. (Earlier docstring claimed the FC-3i TaskRun sweep
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handled those, but TaskRun cleanup never touched BackupRun rows.
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Audit 2026-06-02 added the dedicated sweep.)
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"""
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SessionLocal = _sync_session_factory()
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counts = {"db_deleted": 0, "images_deleted": 0, "files_unlinked": 0}
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@@ -11,10 +11,13 @@ from sqlalchemy import Integer, and_, cast, delete, func, or_, select, update
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from ..celery_app import celery
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from ..models import (
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BackupRun,
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DownloadEvent,
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ImageRecord,
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ImportBatch,
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ImportSettings,
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ImportTask,
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LibraryAuditRun,
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Source,
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TaskRun,
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)
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@@ -55,6 +58,29 @@ FFPROBE_TIMEOUT_SECONDS = 10
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TASK_RUN_KEEP_OK_SECONDS = 24 * 3600 # 24 h
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TASK_RUN_KEEP_FAILURE_SECONDS = 7 * 24 * 3600 # 7 days
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# Audit 2026-06-02: per-entity recovery sweep thresholds. Each must be
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# > the entity's longest legitimate runtime (its task's time_limit + a
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# small buffer) so the sweep never flags in-flight work.
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#
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# Backups: images backup has time_limit=23400s (6.5h). 7h covers it
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# with a 30-min buffer; db backup at 12 min hard limit fits trivially.
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BACKUP_STALL_THRESHOLD_MINUTES = 7 * 60
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# Library audit: scan_library_for_rule has time_limit=7500s (2h5m).
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# 2h15m gives a 10-min buffer.
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LIBRARY_AUDIT_STALL_THRESHOLD_MINUTES = 135
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# Import batches finalize only after every child ImportTask hits a
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# terminal state. The recovery sweep targets the case where every
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# task is done but the batch never got its closing UPDATE
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# (orchestrator crashed at the wrong instant). 2h is well past any
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# realistic single-batch import.
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IMPORT_BATCH_STALL_THRESHOLD_MINUTES = 120
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# Retention windows (terminal rows older than these get deleted by
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# the daily prune sweeps). 30 days = operator-flagged "useful for
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# triage for a few weeks, then noise."
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LIBRARY_AUDIT_KEEP_DAYS = 30
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IMPORT_BATCH_KEEP_DAYS = 30
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# Overrides for recover_stalled_task_runs (the TaskRun 'running' sweep).
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# Tasks/queues that legitimately run longer than the default 5-min
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# threshold need their own larger value, else the sweep marks in-flight
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@@ -69,9 +95,24 @@ TASK_RUN_KEEP_FAILURE_SECONDS = 7 * 24 * 3600 # 7 days
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# files); time_limit=2100.
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QUEUE_STUCK_THRESHOLD_MINUTES: dict[str, int] = {
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"ml": 25,
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# Audit 2026-06-02 — maintenance/scan queues run tasks that
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# legitimately exceed the 5-min default (verify_integrity at 70m
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# hard, scan_directory at 70m hard, apply_allowlist_tags /
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# recompute_centroids / backfill_phash at 35m hard). 75 min lives
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# above the longest of those and the per-task overrides below
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# cover the outliers (backups, library audit).
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"maintenance": 75,
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"scan": 75,
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}
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TASK_STUCK_THRESHOLD_MINUTES: dict[str, int] = {
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"backend.app.tasks.import_file.import_archive_file": 40,
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# Backup images runs hours, not minutes (6.5h hard limit). The
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# task-name override beats the queue's 75-min default so a
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# legitimately-running backup isn't flagged.
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"backend.app.tasks.backup.backup_images_task": 420,
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"backend.app.tasks.backup.restore_images_task": 420,
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# Library audit scans the full library — 2h hard limit.
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"backend.app.tasks.library_audit.scan_library_for_rule": 130,
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}
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@@ -360,7 +401,12 @@ def prune_task_runs() -> dict:
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return {"ok_deleted": ok_deleted, "failures_deleted": fail_deleted}
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@celery.task(name="backend.app.tasks.maintenance.backfill_phash")
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@celery.task(
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name="backend.app.tasks.maintenance.backfill_phash",
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# Audit 2026-06-02 — keyset-paginated phash recompute over the whole
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# library; legitimately runs >5 min on large libraries.
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soft_time_limit=1800, time_limit=2100,
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)
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def backfill_phash() -> int:
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"""Recompute phash for stored images that have none (imported before
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FC-2d-i+ii). Keyset-paginated by id (restart-safe), NULL-only fill,
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@@ -438,7 +484,13 @@ def _verify_one(path: Path, expected_sha: str, mime: str, sha_fn) -> str:
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return "failed_verification"
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@celery.task(name="backend.app.tasks.maintenance.verify_integrity")
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@celery.task(
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name="backend.app.tasks.maintenance.verify_integrity",
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# Audit 2026-06-02 — full library sha256 + decode probe; on 100k-image
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# libraries this runs an hour or more. Match the maintenance queue's
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# recovery threshold (75 min) with 30s buffer below.
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soft_time_limit=3600, time_limit=4200,
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)
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def verify_integrity() -> int:
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"""Verify every ImageRecord file: sha256 recompute + decode/probe
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(PIL for images; ffprobe for videos). Writes integrity_status
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@@ -534,6 +586,156 @@ def recover_stalled_download_events() -> int:
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return events_recovered
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@celery.task(name="backend.app.tasks.maintenance.recover_stalled_backup_runs")
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def recover_stalled_backup_runs() -> int:
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"""Flip BackupRun rows stuck in running/restoring past the hard limit
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to error. Audit 2026-06-02.
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prune_backups (FC-3h) used to claim the FC-3i task_run sweep handled
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these — but that sweep only flips TaskRun rows, not the BackupRun
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artifact rows. A SIGKILL'd backup left BackupRun stuck forever
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(dashboard showed phantom in-flight backups, keep_last_n offset
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arithmetic skewed because zombies sat outside the ok/error window).
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"""
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SessionLocal = _sync_session_factory()
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now = datetime.now(UTC)
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cutoff = now - timedelta(minutes=BACKUP_STALL_THRESHOLD_MINUTES)
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msg = (
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f"stranded by recovery sweep (no terminal status after "
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f"{BACKUP_STALL_THRESHOLD_MINUTES // 60}h)"
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)
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with SessionLocal() as session:
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result = session.execute(
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update(BackupRun)
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.where(BackupRun.status.in_(["running", "restoring"]))
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.where(BackupRun.started_at < cutoff)
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.values(status="error", finished_at=now, error=msg)
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)
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session.commit()
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recovered = result.rowcount or 0
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if recovered:
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log.info("recover_stalled_backup_runs: recovered %d rows", recovered)
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return recovered
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@celery.task(name="backend.app.tasks.maintenance.recover_stalled_library_audit_runs")
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def recover_stalled_library_audit_runs() -> int:
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"""Flip LibraryAuditRun rows stuck in running past the hard limit
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to error. Audit 2026-06-02.
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LibraryAuditRun.status='running' was protected by an exclusive
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guard in start_audit_run — a SIGKILL'd run would block all future
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audits until manual DB surgery. (The guard is now age-aware, but
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this sweep is what makes that work in practice.)
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"""
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SessionLocal = _sync_session_factory()
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now = datetime.now(UTC)
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cutoff = now - timedelta(minutes=LIBRARY_AUDIT_STALL_THRESHOLD_MINUTES)
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msg = (
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f"stranded by recovery sweep (no terminal status after "
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f"{LIBRARY_AUDIT_STALL_THRESHOLD_MINUTES} min)"
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)
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with SessionLocal() as session:
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result = session.execute(
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update(LibraryAuditRun)
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.where(LibraryAuditRun.status == "running")
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.where(LibraryAuditRun.started_at < cutoff)
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.values(status="error", finished_at=now, error=msg)
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)
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session.commit()
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recovered = result.rowcount or 0
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if recovered:
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log.info(
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"recover_stalled_library_audit_runs: recovered %d rows", recovered,
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)
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return recovered
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@celery.task(name="backend.app.tasks.maintenance.recover_stalled_import_batches")
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def recover_stalled_import_batches() -> int:
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"""Finalize ImportBatch rows stuck in running past the hard limit
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when NO outstanding ImportTask remains. Audit 2026-06-02.
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A batch row finalizes only after every child task hits a terminal
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state. The orphan case: scanner crashed between the last task's
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completion and the batch's closing UPDATE. The
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`/api/import/status` route then surfaces the batch as 'active'
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indefinitely while `/api/system/stats` (which uses the same
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EXISTS predicate we apply below) correctly returns null.
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"""
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SessionLocal = _sync_session_factory()
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now = datetime.now(UTC)
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cutoff = now - timedelta(minutes=IMPORT_BATCH_STALL_THRESHOLD_MINUTES)
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with SessionLocal() as session:
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# Batches still 'running' past the cutoff whose tasks are all
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# terminal — there's no outstanding work, so flip the batch
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# too. Mirrors the EXISTS predicate the active-batch surfaces use.
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result = session.execute(
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update(ImportBatch)
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.where(ImportBatch.status == "running")
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.where(ImportBatch.started_at < cutoff)
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.where(
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~select(ImportTask.id)
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.where(
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ImportTask.batch_id == ImportBatch.id,
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ImportTask.status.in_(["pending", "queued", "processing"]),
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)
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.exists()
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)
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.values(status="complete", finished_at=now)
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)
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session.commit()
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recovered = result.rowcount or 0
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if recovered:
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log.info(
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"recover_stalled_import_batches: finalized %d zombie batches",
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recovered,
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)
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return recovered
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@celery.task(name="backend.app.tasks.maintenance.prune_library_audit_runs")
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def prune_library_audit_runs() -> int:
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"""Daily retention: delete terminal LibraryAuditRun rows older than
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LIBRARY_AUDIT_KEEP_DAYS. Never touches 'running'. Audit 2026-06-02.
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Audit rows carry matched_ids JSONB blobs that can hold tens of
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thousands of ids; without retention these accumulate.
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"""
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SessionLocal = _sync_session_factory()
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cutoff = datetime.now(UTC) - timedelta(days=LIBRARY_AUDIT_KEEP_DAYS)
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with SessionLocal() as session:
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result = session.execute(
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delete(LibraryAuditRun)
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.where(LibraryAuditRun.status.in_(["ready", "applied", "cancelled", "error"]))
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.where(LibraryAuditRun.finished_at < cutoff)
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)
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session.commit()
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return result.rowcount or 0
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@celery.task(name="backend.app.tasks.maintenance.prune_import_batches")
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def prune_import_batches() -> int:
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"""Daily retention: delete terminal ImportBatch rows older than
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IMPORT_BATCH_KEEP_DAYS. Cascade-deletes child ImportTask rows via
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the model relationship. Never touches 'running'. Audit 2026-06-02.
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"""
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SessionLocal = _sync_session_factory()
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cutoff = datetime.now(UTC) - timedelta(days=IMPORT_BATCH_KEEP_DAYS)
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with SessionLocal() as session:
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# ORM-level delete here (not Core delete) so the
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# ImportBatch->tasks cascade fires; Core delete would skip it.
|
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old_batches = session.execute(
|
||||
select(ImportBatch)
|
||||
.where(ImportBatch.status.in_(["complete", "cancelled"]))
|
||||
.where(ImportBatch.finished_at < cutoff)
|
||||
).scalars().all()
|
||||
for batch in old_batches:
|
||||
session.delete(batch)
|
||||
session.commit()
|
||||
return len(old_batches)
|
||||
|
||||
|
||||
@celery.task(name="backend.app.tasks.maintenance.cleanup_old_download_events")
|
||||
def cleanup_old_download_events() -> int:
|
||||
"""FC-3d: delete terminal DownloadEvent rows older than the configured
|
||||
|
||||
+15
-2
@@ -212,7 +212,14 @@ def backfill(self) -> int:
|
||||
return enqueued
|
||||
|
||||
|
||||
@celery.task(name="backend.app.tasks.ml.apply_allowlist_tags", bind=True)
|
||||
@celery.task(
|
||||
name="backend.app.tasks.ml.apply_allowlist_tags",
|
||||
bind=True,
|
||||
# Audit 2026-06-02 — the full-sweep mode (neither tag_id nor image_id)
|
||||
# is O(images × allowlist) and legitimately runs >5 min on large
|
||||
# libraries. Cap matches the maintenance queue's recovery threshold.
|
||||
soft_time_limit=1800, time_limit=2100,
|
||||
)
|
||||
def apply_allowlist_tags(self, tag_id: int | None = None,
|
||||
image_id: int | None = None) -> int:
|
||||
"""Retroactively apply allowlisted tags.
|
||||
@@ -341,7 +348,13 @@ def recompute_centroid(self, tag_id: int) -> bool:
|
||||
return asyncio.run(_run())
|
||||
|
||||
|
||||
@celery.task(name="backend.app.tasks.ml.recompute_centroids", bind=True)
|
||||
@celery.task(
|
||||
name="backend.app.tasks.ml.recompute_centroids",
|
||||
bind=True,
|
||||
# Audit 2026-06-02 — drifted-centroid rebuild over potentially
|
||||
# hundreds of tags.
|
||||
soft_time_limit=1800, time_limit=2100,
|
||||
)
|
||||
def recompute_centroids(self) -> int:
|
||||
"""Daily: find drifted centroids, enqueue recompute_centroid for each."""
|
||||
import asyncio
|
||||
|
||||
@@ -35,7 +35,15 @@ def _iter_import_files(import_root: Path):
|
||||
yield entry
|
||||
|
||||
|
||||
@celery.task(name="backend.app.tasks.scan.scan_directory", bind=True)
|
||||
@celery.task(
|
||||
name="backend.app.tasks.scan.scan_directory",
|
||||
bind=True,
|
||||
# Audit 2026-06-02 — large libraries make the scan legitimately long.
|
||||
# Hard cap at 70 min so the corresponding QUEUE_STUCK_THRESHOLD_MINUTES
|
||||
# ("scan") of 75 min always wins; soft limit gives the task a clean
|
||||
# exit window before SIGKILL.
|
||||
soft_time_limit=3600, time_limit=4200,
|
||||
)
|
||||
def scan_directory(self, triggered_by: str = "manual",
|
||||
mode: str = "quick") -> int:
|
||||
"""Walks the import root and creates ImportTasks. `mode` is 'quick'
|
||||
|
||||
Reference in New Issue
Block a user