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"""
Celery application configuration
"""
import os
from celery import Celery
from dotenv import load_dotenv
load_dotenv()
# Redis URL for broker and backend
REDIS_URL = os.getenv('REDIS_URL')
if not REDIS_URL or not REDIS_URL.startswith(('redis://', 'rediss://')):
# Fallback to individual parameters
REDIS_HOST = os.getenv('REDIS_HOST', 'localhost')
REDIS_PORT = os.getenv('REDIS_PORT', '6379')
REDIS_PASSWORD = os.getenv('REDIS_PASSWORD', '')
REDIS_DB = os.getenv('REDIS_DB', '0')
if REDIS_PASSWORD:
REDIS_URL = f"redis://:{REDIS_PASSWORD}@{REDIS_HOST}:{REDIS_PORT}/{REDIS_DB}"
else:
REDIS_URL = f"redis://{REDIS_HOST}:{REDIS_PORT}/{REDIS_DB}"
# Create Celery app
celery_app = Celery(
'learning_path_worker',
broker=REDIS_URL,
backend=REDIS_URL,
include=['worker.tasks']
)
# Celery configuration
celery_app.conf.update(
task_serializer='json',
accept_content=['json'],
result_serializer='json',
timezone='UTC',
enable_utc=True,
task_track_started=True,
task_time_limit=3600, # 1 hour max per task
task_soft_time_limit=3300, # 55 minutes soft limit
worker_prefetch_multiplier=1, # Process one task at a time
worker_max_tasks_per_child=50, # Restart worker after 50 tasks (prevent memory leaks)
)
if __name__ == '__main__':
celery_app.start()
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