dtoro
574d71371f
Drops face recognition, OCR, object detection, and semantic embeddings. The sole remaining vision task is a CLIP-based binary classifier (photography vs other); photos in "other" get needs_review=true so screenshots, documents, memes and scans can be triaged from a new filter pill in the UI. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
81 lines
2.7 KiB
Python
81 lines
2.7 KiB
Python
"""
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Celery configuration and app initialization
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"""
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import logging
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import os
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from celery import Celery
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from celery.signals import worker_process_init
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from app.config import settings
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logger = logging.getLogger(__name__)
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# Create Celery app
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celery_app = Celery(
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'mulita',
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broker=settings.celery_broker_url,
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backend=settings.celery_result_backend,
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include=[
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'app.tasks.scan',
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'app.tasks.thumbs',
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'app.tasks.vision',
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'app.services.metadata', # extract_metadata lives here
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]
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)
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# Configure Celery
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celery_app.conf.update(
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task_serializer='json',
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accept_content=['json'],
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result_serializer='json',
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timezone='UTC',
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enable_utc=True,
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# Robust acknowledgment: keep message in broker until task succeeds.
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task_acks_late=True,
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task_reject_on_worker_lost=True,
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# Global time limits — individual tasks can override via decorator.
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task_soft_time_limit=300, # 5 min — raises SoftTimeLimitExceeded
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task_time_limit=600, # 10 min — SIGKILL
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# Explicit routes for every task name. Wildcard patterns don't match
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# short names produced by @shared_task(name='...').
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task_routes={
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# Vision queue — CPU-bound binary classification
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'classify_content': {'queue': 'vision'},
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'vision_fanout': {'queue': 'vision'},
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# High-priority queue — thumbnails & duplicates
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'generate_thumbnails': {'queue': 'high'},
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'regenerate_all_thumbnails': {'queue': 'high'},
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'backfill_phashes': {'queue': 'high'},
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'regroup_duplicates': {'queue': 'high'},
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'incremental_regroup_duplicates': {'queue': 'high'},
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# Low-priority queue — scans
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'scan_folder': {'queue': 'low'},
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'scan_all_source_roots': {'queue': 'low'},
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'backfill_gps': {'queue': 'low'},
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# Dedicated watcher queue
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'watch_folders': {'queue': 'watcher'},
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},
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task_default_queue='default',
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task_default_exchange='default',
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task_default_exchange_type='direct',
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task_default_routing_key='default',
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broker_connection_retry_on_startup=True,
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)
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@worker_process_init.connect
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def _warmup_vision_models(**kwargs):
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"""Pre-load vision models in the worker process so the first task
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doesn't pay cold-start latency. Only runs on the vision queue."""
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# The worker name contains the queue — only warm up vision workers.
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worker_queues = os.environ.get("CELERY_QUEUES", "")
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if "vision" not in worker_queues:
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# Heuristic: check the celery command line for -Q vision
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import sys
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if "vision" not in " ".join(sys.argv):
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return
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try:
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from app.services.vision.registry import registry
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registry.warmup()
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except Exception:
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logger.exception("Vision model warmup failed") |