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FabledCurator/backend/app/celery_app.py
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feat(ops): graceful shutdown — worker stop-grace + Interpreter drain resilience
Deploys (docker SIGTERM→SIGKILL, default 10s) were killing Celery jobs
mid-flight. Give in-flight work room to drain and make interrupted work
resume cleanly instead of stalling.

- docker-compose.yml: stop_grace_period per lane (web 30s / worker 90s /
  scheduler 60s / maintenance-long 180s / ml-worker 120s) so warm shutdown
  can actually drain before SIGKILL.
- celery_app.py: task_reject_on_worker_lost=True — a task killed past the
  grace window is re-queued (safe: idempotent + chunked, recovery sweeps
  re-drive stragglers).
- interpreter_client.py: map 429/5xx (502/503/504) → InterpreterUnavailable
  and parse Retry-After (delta-seconds or HTTP-date); a draining Interpreter
  behind a reverse proxy no longer raises an opaque HTTPError.
- translation.py: thread retry_after out of _translate_batch; retranslate_posts
  resumes after the Retry-After hint (or 60s default, capped 900s) on an
  interrupt with _reset_done=True, self-terminating via the health gate.
- tests: 429/5xx mapping + Retry-After parse; interrupt-resume + default backoff.

No migration.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-07 21:01:00 -04:00

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"""Celery configuration with separate queue lanes.
Queues:
import — filesystem import path (FC-2)
ml — WD14 + SigLIP inference (FC-2; runs in the ml-worker image)
thumbnail — image and video thumbnail generation (FC-2)
download — gallery-dl tasks (FC-3)
scan — periodic source checks (FC-3) — kept separate so long imports
don't starve the scheduler
maintenance — recovery sweeps, pHash backfill, GPU-queue coordination, etc.
default — anything not explicitly routed
"""
from celery import Celery
from .config import get_config
def make_celery() -> Celery:
cfg = get_config()
app = Celery(
"fabledcurator",
broker=cfg.celery_broker_url,
backend=cfg.celery_result_backend,
include=[
"backend.app.tasks.smoke",
"backend.app.tasks.scan",
"backend.app.tasks.import_file",
"backend.app.tasks.thumbnail",
"backend.app.tasks.maintenance",
"backend.app.tasks.ml",
"backend.app.tasks.gpu_queue",
"backend.app.tasks.download",
"backend.app.tasks.external",
"backend.app.tasks.backup",
"backend.app.tasks.admin",
"backend.app.tasks.library_audit",
"backend.app.tasks.translation",
],
)
app.conf.update(
task_default_queue="default",
task_routes={
"backend.app.tasks.import_file.*": {"queue": "import"},
"backend.app.tasks.ml.*": {"queue": "ml"},
# GPU-queue coordination (backfill enqueues, orphan recovery,
# reprocess) is pure DB work — it rides the maintenance quick lane
# so the GPU agent pipeline works even on stacks that drop the
# (now-optional, B3) ml-worker container entirely.
"backend.app.tasks.gpu_queue.*": {"queue": "maintenance"},
"backend.app.tasks.thumbnail.*": {"queue": "thumbnail"},
"backend.app.tasks.download.*": {"queue": "download"},
# External file-host fetches are downloads — same lane (they can run
# long, but the download worker already tolerates long backfills).
"backend.app.tasks.external.*": {"queue": "download"},
"backend.app.tasks.scan.*": {"queue": "scan"},
# `maintenance` is the QUICK lane — recovery sweeps, vacuum, cleanup
# (concurrency-1 on the scheduler). The long one-shots (DB backups,
# library audits, admin maintenance: normalize/re-extract/cascade-
# delete) run on a SEPARATE `maintenance_long` lane + worker so they
# can never starve the quick self-healing sweeps (operator-flagged
# 2026-06-07: a 2h audit blocked vacuum/backup/normalize for hours).
"backend.app.tasks.maintenance.*": {"queue": "maintenance"},
"backend.app.tasks.backup.*": {"queue": "maintenance_long"},
"backend.app.tasks.admin.*": {"queue": "maintenance_long"},
"backend.app.tasks.library_audit.*": {"queue": "maintenance_long"},
# Translation backfill hits the LLM (~16s/item) → the long lane so it
# never starves the quick self-healing sweeps (#143).
"backend.app.tasks.translation.*": {"queue": "maintenance_long"},
},
# Heavy ML tasks need fair dispatch — see ImageRepo's precedent.
task_acks_late=True,
# Deploy graceful-shutdown safety: with acks_late, a task killed because
# it outran the container's stop-grace window (SIGKILL) is re-queued
# rather than silently lost. Safe because our long tasks are idempotent +
# chunked (translation per-post commit, downloads terminal-status, audits
# chunk) and the 5-min recovery sweeps re-drive anything left non-terminal
# — a re-run resumes cleanly and never corrupts. No redeliver-loop risk:
# heavy GPU work is tombstoned via gpu_queue, not run inline in a worker.
task_reject_on_worker_lost=True,
worker_prefetch_multiplier=1,
# Broker resilience (2026-06-24): a swarm overlay-network blip after a
# redeploy left Redis healthy but transiently unreachable, and a worker
# starting in that window crash-looped on the initial broker connect
# (kombu OperationalError) instead of waiting it out — needing a manual
# Redis reset to recover. Retry the broker FOREVER (None) on startup and
# at runtime so a transient outage self-heals when routing returns,
# rather than the worker exiting.
broker_connection_retry_on_startup=True,
broker_connection_retry=True,
broker_connection_max_retries=None,
# Redis-transport socket options (apply to the BROKER connection): a
# short connect timeout + TCP keepalive so a dead/blocked socket is
# noticed and retried, and a periodic health check that proactively
# reconnects a live worker through a network hiccup.
broker_transport_options={
"socket_connect_timeout": 5,
"socket_timeout": 30,
"socket_keepalive": True,
"retry_on_timeout": True,
"health_check_interval": 30,
},
# Same hardening for the Redis RESULT backend (separate connection pool).
redis_socket_connect_timeout=5,
redis_socket_timeout=30,
redis_socket_keepalive=True,
redis_retry_on_timeout=True,
redis_backend_health_check_interval=30,
beat_schedule={
"recover-interrupted-tasks": {
"task": "backend.app.tasks.maintenance.recover_interrupted_tasks",
"schedule": 300.0, # every 5 minutes
},
"cleanup-old-tasks": {
"task": "backend.app.tasks.maintenance.cleanup_old_tasks",
"schedule": 86400.0, # daily
},
"train-heads-nightly": {
"task": "backend.app.tasks.ml.scheduled_train_heads",
"schedule": 86400.0, # passive cadence; manual retrain stays available
},
"refresh-character-prototypes": {
"task": "backend.app.tasks.ml.refresh_character_prototypes",
"schedule": 900.0, # ~15 min; cheap global-gate no-op when idle (#1317)
},
"reconcile-character-prototypes-nightly": {
"task": "backend.app.tasks.ml.refresh_character_prototypes",
"schedule": 86400.0, # nightly FULL reconcile (belt-and-suspenders)
"args": (True,), # full=True
},
"apply-head-tags-daily": {
"task": "backend.app.tasks.ml.scheduled_apply_head_tags",
"schedule": 86400.0, # no-op unless head_auto_apply_enabled
},
"recover-orphaned-gpu-jobs": {
"task": "backend.app.tasks.gpu_queue.recover_orphaned_gpu_jobs",
"schedule": 60.0, # quick pickup of work a dead agent orphaned
},
"triage-gpu-errors": {
"task": "backend.app.tasks.maintenance.triage_gpu_errors",
"schedule": 900.0, # probe errored jobs' files → defect/file_ok
},
"enqueue-ccip-backfill-hourly": {
"task": "backend.app.tasks.gpu_queue.enqueue_gpu_backfill",
"schedule": 3600.0, # auto-feed NEW images; errored are
"args": ("ccip",), # tombstoned — retry is the button only
},
"enqueue-siglip-backfill-daily": {
"task": "backend.app.tasks.gpu_queue.enqueue_gpu_backfill",
"schedule": 86400.0, # drain the concept-crop back-catalogue
"args": ("siglip",), # (errored are tombstoned, not retried)
},
"enqueue-embed-backfill-daily": {
"task": "backend.app.tasks.gpu_queue.enqueue_gpu_backfill",
"schedule": 86400.0, # whole-image re-embed under the current
"args": ("embed",), # model (an operator swap) drains via agent
},
"ccip-auto-apply-daily": {
"task": "backend.app.tasks.ml.scheduled_ccip_auto_apply",
"schedule": 86400.0, # no-op unless ccip_auto_apply_enabled
},
"retract-auto-tags-daily": {
"task": "backend.app.tasks.ml.scheduled_retract_auto_tags",
"schedule": 86400.0, # soft auto-apply: drop auto-tags now below
# their threshold (m139); no-op unless the auto-apply switch is on
},
"presentation-auto-apply-daily": {
"task": "backend.app.tasks.ml.scheduled_presentation_auto_apply",
"schedule": 86400.0, # auto-hide banner/editor chrome (#141);
# no-op unless presentation_auto_apply_enabled
},
"prune-presentation-reviews-daily": {
"task": "backend.app.tasks.ml.prune_presentation_reviews",
"schedule": 86400.0, # retention: drop resolved review flags >30d
},
"translate-posts-daily": {
"task": "backend.app.tasks.translation.translate_posts",
"schedule": 86400.0, # no-op unless translation configured + healthy
},
"snapshot-head-metrics-daily": {
"task": "backend.app.tasks.maintenance.snapshot_head_metrics",
"schedule": 86400.0,
},
"integrity-verify-weekly": {
"task": "backend.app.tasks.maintenance.verify_integrity",
"schedule": 604800.0, # weekly
},
"fc3d-tick-due-sources": {
"task": "backend.app.tasks.scan.tick_due_sources",
"schedule": 60.0, # every minute
},
"fc3d-cleanup-download-events": {
"task": "backend.app.tasks.maintenance.cleanup_old_download_events",
"schedule": 86400.0, # daily
},
"recover-stalled-download-events": {
"task": "backend.app.tasks.maintenance.recover_stalled_download_events",
"schedule": 300.0, # every 5 min, matches recover-interrupted-tasks
},
"recover-stalled-task-runs": {
"task": "backend.app.tasks.maintenance.recover_stalled_task_runs",
"schedule": 300.0, # every 5 min, matches recover-interrupted-tasks
},
"prune-task-runs": {
"task": "backend.app.tasks.maintenance.prune_task_runs",
"schedule": 86400.0, # daily
},
"vacuum-analyze": {
"task": "backend.app.tasks.maintenance.vacuum_analyze",
"schedule": 604800.0, # weekly — reclaim dead-tuple bloat + refresh stats
},
"fc3h-backup-db-nightly": {
"task": "backend.app.tasks.backup.backup_db_nightly",
"schedule": 3600.0, # hourly tick; task self-gates on configured UTC hour
},
"fc3h-prune-backups": {
"task": "backend.app.tasks.backup.prune_backups",
"schedule": 86400.0, # daily
},
# Audit 2026-06-02 — three new per-entity recovery sweeps.
# Each runs every 5 min like the other recover_stalled_*
# sweeps; each is a no-op when nothing is stuck.
"recover-stalled-backup-runs": {
"task": "backend.app.tasks.maintenance.recover_stalled_backup_runs",
"schedule": 300.0,
},
"recover-stalled-library-audit-runs": {
"task": "backend.app.tasks.maintenance.recover_stalled_library_audit_runs",
"schedule": 300.0,
},
"recover-stalled-head-training-runs": {
"task": "backend.app.tasks.maintenance.recover_stalled_head_training_runs",
"schedule": 300.0,
},
"recover-stalled-head-auto-apply-runs": {
"task": "backend.app.tasks.maintenance.recover_stalled_head_auto_apply_runs",
"schedule": 300.0,
},
"recover-stalled-import-batches": {
"task": "backend.app.tasks.maintenance.recover_stalled_import_batches",
"schedule": 300.0,
},
# Audit 2026-06-02 — daily retention for two entities
# whose terminal rows otherwise accumulate forever.
"prune-library-audit-runs": {
"task": "backend.app.tasks.maintenance.prune_library_audit_runs",
"schedule": 86400.0,
},
"prune-import-batches": {
"task": "backend.app.tasks.maintenance.prune_import_batches",
"schedule": 86400.0,
},
# Audit 2026-06-02 — backfill_thumbnails's docstring claimed
# "periodic Beat" but the entry was never registered, so the
# library got no self-healing thumbnail repair; only the
# manual admin-UI button fired it. Daily cadence is gentle
# (the task is idempotent and only enqueues regen for rows
# whose stored thumbnails are missing or corrupt).
"backfill-thumbnails-daily": {
"task": "backend.app.tasks.thumbnail.backfill_thumbnails",
"schedule": 86400.0,
},
# External file-host downloads (#830): a steady sweep catches links
# the post-download hook missed (worker down, etc.); recovery re-tries
# dead links daily; retention prunes long-dead rows.
"extdl-sweep": {
"task": "backend.app.tasks.external.sweep_external_links",
"schedule": 600.0, # every 10 min
},
"extdl-recover-daily": {
"task": "backend.app.tasks.external.recover_external_links",
"schedule": 86400.0,
},
"extdl-prune-daily": {
"task": "backend.app.tasks.external.prune_external_links",
"schedule": 86400.0,
},
},
timezone="UTC",
)
# FC-3i: register task_run signal handlers (side-effect import).
from . import celery_signals # noqa: F401
return app
celery = make_celery()