Files
FabledCurator/backend/app/celery_app.py
T
bvandeusenandClaude Opus 5.5 0cf8edaa10
CI and images / lint (push) Successful in 2s
CI and images / extension-version (push) Successful in 2s
CI and images / frontend-build (push) Successful in 25s
CI and images / extension-test (push) Successful in 18s
CI and images / backend-lint-and-test (push) Failing after 44s
CI and images / integration (push) Failing after 2m28s
CI and images / sign-extension (push) Skipped
CI and images / build-web (push) Skipped
CI and images / smoke-web (push) Skipped
CI and images / promote (push) Skipped
CI and images / refresh-dev (push) Skipped
CI and images / unattended-failure (push) Skipped
CI and images / build-agent (push) Skipped
feat: images and attachments go to the off-site bucket once each, by fingerprint
With an off-site destination set up, the library's files are sent to the
bucket's media/ folder as media/ab/cd/<sha256><ext>, beside the database
dumps under database/. Each file goes once: a new backup_blob table records
what each destination holds (migration 0121), and a run's work list is every
image and attachment sha with no row yet, so runs are incremental and a new
bucket starts its copy from the beginning.

- The bucket checks each file against the sha recorded at import; a file
  over 1 GiB goes in parts and is checked before the upload is completed.
  A file missing or changed on disk is reported, not stored.
- A run is chunked: each 45-minute chunk commits after every file and queues
  the next, so other long-maintenance jobs get turns. One run at a time.
  The stall sweep judges a media run by its progress heartbeat
  (backup_run.last_progress_at), not its start.
- A file that can't be sent is listed on the run (status ok, with the error
  line) and tried again by the next run. A refused put for an object
  already in an append-only bucket counts as sent.
- Nightly, with a destination set, runs the dump and then the media.
- Weekly reconcile lists media/ and re-sends what the bucket lost, and
  adopts what it already holds (a restored database sends nothing twice).
- Uploads use the bandwidth limit; read transactions end before transfers.
- Backups card: with a destination, an "Images and attachments" section
  shows coverage (files and bytes in the bucket), "Send new files now", and
  the media runs. Without one, the local tarball section is unchanged.
- Media run history keeps the latest 60 rows.

Task #6879, milestone 586.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-11-06 22:07:15 -05:00

380 lines
20 KiB
Python
Raw Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
"""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
from .services.worker_lanes import SWEEP_PERIOD_SECONDS
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"},
# The one long job in maintenance.py: a whole-library phash
# recompute (35 min hard limit; the library was cleared for
# re-hashing by migration 0098). On the quick lane it held a
# scheduler process for its whole run, and the minute ticks queued
# up behind it (2026-09-24: 7 waiting, "all workers busy for 18
# minutes"). An exact name wins over the glob above.
"backend.app.tasks.maintenance.backfill_phash": {"queue": "maintenance_long"},
# Walks a folder tree per artist with undated posts (#4436).
"backend.app.tasks.maintenance.date_posts_from_records": {"queue": "maintenance_long"},
"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 (~1–6s/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
},
"size-worker-lanes": {
"task": "backend.app.tasks.maintenance.size_worker_lanes",
"schedule": SWEEP_PERIOD_SECONDS,
#
# The number lives in `services/worker_lanes` because three
# places must agree on it: this schedule, the freshness of the
# sample the System tab reads, and the roster staleness
# thresholds in `api/system_health` — which now depend on this
# sweep rather than on a browser being open, and assert their
# headroom over it at import.
#
# ONE entry, replacing `autoscale-worker-lanes` (60s) and
# `reconcile-worker-lanes` (300s) on 2026-09-23. They were two
# sweeps over one number and most of the autoscaler's design
# existed to stop the reconcile undoing its work; with the
# stored `slots` gone there is nothing to disagree about.
#
# Fast enough to react to a BACKLOG — a five-minute reaction to
# a queue filling up is no reaction. It also carries what the
# reconcile was for: a worker restarted at its ENV concurrency
# is corrected on the next tick rather than after five.
#
# Cheap when settled: one inspect plus one LLEN sweep, and no
# control messages at all once every lane matches. It is also
# now the ONLY thing that inspects — nothing on a request path
# does — so this is the whole broker cost of the System tab,
# whether nobody or ten tabs are watching.
},
"cleanup-old-tasks": {
"task": "backend.app.tasks.maintenance.cleanup_old_tasks",
"schedule": 86400.0, # daily
},
"cleanup-orphaned-temp-files": {
"task": "backend.app.tasks.maintenance.cleanup_orphaned_temp_files",
"schedule": 86400.0, # daily — sweep .part/.partial left by a
# download/import killed mid-write (graceful-shutdown fallout)
},
"date-posts-from-records-hourly": {
"task": "backend.app.tasks.maintenance.date_posts_from_records",
"schedule": 3600.0, # an empty query once every native post is
# dated; otherwise upserts the _post.json a killed walk left (#4436)
},
"backfill-phash-daily": {
"task": "backend.app.tasks.maintenance.backfill_phash",
"schedule": 86400.0, # daily — NULL-only, so a no-op once the
# library is hashed. This is what makes migration 0098's
# re-hash happen on its own: 0098 NULLs every phash, and
# without a scheduled refill the library would sit
# dedup-disabled until someone ran a deep scan (#4223).
},
"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 chrome (#141);
# no-op unless presentation_auto_apply_enabled
},
"process-auto-apply-daily": {
"task": "backend.app.tasks.ml.scheduled_process_auto_apply",
"schedule": 86400.0, # auto-tag wip/editor process art (#1464);
# no-op unless process_auto_apply_enabled (opt-in)
},
"prune-presentation-reviews-daily": {
"task": "backend.app.tasks.ml.prune_presentation_reviews",
"schedule": 86400.0, # retention: drop resolved review flags >30d
},
"translate-posts-8h": {
"task": "backend.app.tasks.translation.translate_posts",
"schedule": 28800.0, # every 8h: steady-state cadence for the
# trickle of newly-imported posts (no-op unless translation
# configured + healthy). One bounded 300-chunk per fire — the
# one-time backlog drains via the "Translate now" button
# (drain=True, run-until-done), not this sweep.
},
"snapshot-head-metrics-daily": {
"task": "backend.app.tasks.maintenance.snapshot_head_metrics",
"schedule": 86400.0,
},
"group-discord-drops-hourly": {
"task": "backend.app.tasks.maintenance.group_discord_drops",
"schedule": 3600.0, # hourly. Not daily: the grouping signal is
# the SigLIP embedding, which lands asynchronously AFTER import
# (#388 E2), so this sweep is what picks up a drop once its
# vectors have caught up. No-op unless discord_grouping_enabled.
},
"match-post-associations-hourly": {
"task": "backend.app.tasks.maintenance.match_post_associations",
"schedule": 3600.0, # hourly, and AFTER the grouper's own cadence
# by construction: a pair cannot be proposed until the drop it
# points at exists as a grouping (#388 E5). No-op unless
# discord_link_enabled.
},
"sync-memberships-daily": {
"task": "backend.app.tasks.maintenance.sync_memberships",
"schedule": 86400.0, # daily — memberships change on a BILLING
# cycle, not a download cadence (#387 C3). No-op per platform
# when the client lacks the seam or no credential exists.
},
"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
},
"reconcile-media-backup": {
"task": "backend.app.tasks.backup.reconcile_media_backup",
"schedule": 604800.0, # weekly: list the bucket, re-send what's missing
},
# 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",
# Beat's memory of when each job last ran comes from task_run, not a
# shelve file nothing persists — see beat_scheduler (#4408).
beat_scheduler="backend.app.beat_scheduler:TaskRunScheduler",
)
# FC-3i: register task_run signal handlers (side-effect import).
from . import celery_signals # noqa: F401
return app
celery = make_celery()