"""Celery application configuration and setup.""" import os from celery import Celery from celery.schedules import crontab from dotenv import load_dotenv # Load environment variables load_dotenv() # Get Celery configuration from environment CELERY_BROKER_URL = os.getenv("CELERY_BROKER_URL", "redis://localhost:6379/0") CELERY_RESULT_BACKEND = os.getenv("CELERY_RESULT_BACKEND", "redis://localhost:6379/0") # Create Celery app celery_app = Celery( "surfsense", broker=CELERY_BROKER_URL, backend=CELERY_RESULT_BACKEND, include=[ "app.tasks.celery_tasks.document_tasks", "app.tasks.celery_tasks.podcast_tasks", "app.tasks.celery_tasks.connector_tasks", "app.tasks.celery_tasks.schedule_checker_task", ], ) # Celery configuration celery_app.conf.update( # Task settings task_serializer="json", accept_content=["json"], result_serializer="json", timezone="UTC", enable_utc=True, # Task execution settings task_track_started=True, task_time_limit=3600, # 1 hour hard limit task_soft_time_limit=3000, # 50 minutes soft limit # Result backend settings result_expires=86400, # Results expire after 24 hours result_extended=True, # Worker settings worker_prefetch_multiplier=1, worker_max_tasks_per_child=1000, # Retry settings task_acks_late=True, task_reject_on_worker_lost=True, # Broker settings broker_connection_retry_on_startup=True, # Beat scheduler settings beat_max_loop_interval=60, # Check every minute ) # Configure Celery Beat schedule # This uses a meta-scheduler pattern: instead of creating individual Beat schedules # for each connector, we have ONE schedule that checks the database every minute # for connectors that need indexing. This provides dynamic scheduling without restarts. celery_app.conf.beat_schedule = { "check-periodic-connector-schedules": { "task": "check_periodic_schedules", "schedule": crontab(minute="*"), # Run every minute "options": { "expires": 30, # Task expires after 30 seconds if not picked up }, }, }