⚡ Exécution De Plusieurs Instances De Celery Beat Avec Django

🐰 Configuration RabbitMQ Détaillée

Settings RabbitMQ

# my_project/settings/rabbitmq.py
from decouple import config
import os

# Configuration RabbitMQ
RABBITMQ_HOST = config('RABBITMQ_HOST', default='localhost')
RABBITMQ_PORT = config('RABBITMQ_PORT', default=5672)
RABBITMQ_USER = config('RABBITMQ_USER', default='guest')
RABBITMQ_PASSWORD = config('RABBITMQ_PASSWORD', default='guest')
RABBITMQ_VHOST = config('RABBITMQ_VHOST', default='/')

# URLs RabbitMQ
RABBITMQ_URL = f"amqp://{RABBITMQ_USER}:{RABBITMQ_PASSWORD}@{RABBITMQ_HOST}:{RABBITMQ_PORT}{RABBITMQ_VHOST}"

# Configuration Celery avec RabbitMQ
CELERY_BROKER_URL = RABBITMQ_URL
CELERY_RESULT_BACKEND = 'rpc://'

# Configuration RabbitMQ pour les instances Beat
RABBITMQ_BEAT_CONFIG = {
'instance_a': {
'exchange': 'beat_a_exchange',
'queue_prefix': 'beat_a',
'routing_key_prefix': 'beat_a',
'lock_timeout': 300,
'heartbeat_interval': 30,
'durable': True,
'auto_delete': False,
},
'instance_b': {
'exchange': 'beat_b_exchange',
'queue_prefix': 'beat_b',
'routing_key_prefix': 'beat_b',
'lock_timeout': 600,
'heartbeat_interval': 60,
'durable': True,
'auto_delete': False,
},
}

# Configuration des exchanges et queues RabbitMQ
from kombu import Exchange, Queue

# Exchanges
BEAT_A_EXCHANGE = Exchange('beat_a_exchange', type='direct', durable=True)
BEAT_B_EXCHANGE = Exchange('beat_b_exchange', type='direct', durable=True)

# Queues
CELERY_TASK_QUEUES = (
Queue('instance_a_queue', exchange=BEAT_A_EXCHANGE, routing_key='beat_a.tasks'),
Queue('instance_b_queue', exchange=BEAT_B_EXCHANGE, routing_key='beat_b.tasks'),
Queue('beat_a_locks', exchange=BEAT_A_EXCHANGE, routing_key='beat_a.locks'),
Queue('beat_b_locks', exchange=BEAT_B_EXCHANGE, routing_key='beat_b.locks'),
Queue('default', routing_key='default'),
)

# Configuration Beat avec RabbitMQ
CELERY_BEAT_SCHEDULER = 'django_celery_beat.schedulers:DatabaseScheduler'
CELERY_BEAT_SYNC_EVERY = 1

# Configuration des tâches par instance
CELERY_TASK_ROUTES = {
'apps.celery_app.tasks.health_check': {
'queue': 'instance_a_queue',
'routing_key': 'beat_a.tasks.health_check'
},
'apps.celery_app.tasks.system_monitor': {
'queue': 'instance_a_queue',
'routing_key': 'beat_a.tasks.system_monitor'
},
'apps.celery_app.tasks.critical_alerts': {
'queue': 'instance_a_queue',
'routing_key': 'beat_a.tasks.critical_alerts'
},
'apps.celery_app.tasks.daily_cleanup': {
'queue': 'instance_b_queue',
'routing_key': 'beat_b.tasks.daily_cleanup'
},
'apps.celery_app.tasks.weekly_reports': {
'queue': 'instance_b_queue',
'routing_key': 'beat_b.tasks.weekly_reports'
},
'apps.celery_app.tasks.data_export': {
'queue': 'instance_b_queue',
'routing_key': 'beat_b.tasks.data_export'
},
}

# Configuration RabbitMQ pour la persistance
RABBITMQ_BEAT_SCHEDULE = {
'instance_a': {
'health-check-instance-a': {
'task': 'apps.celery_app.tasks.health_check',
'schedule': 30.0,
'options': {
'queue': 'instance_a_queue',
'routing_key': 'beat_a.tasks.health_check'
}
},
'system-monitor-instance-a': {
'task': 'apps.celery_app.tasks.system_monitor',
'schedule': 60.0,
'options': {
'queue': 'instance_a_queue',
'routing_key': 'beat_a.tasks.system_monitor'
}
},
'critical-alerts-instance-a': {
'task': 'apps.celery_app.tasks.critical_alerts',
'schedule': 120.0,
'options': {
'queue': 'instance_a_queue',
'routing_key': 'beat_a.tasks.critical_alerts'
}
},
},
'instance_b': {
'daily-cleanup-instance-b': {
'task': 'apps.celery_app.tasks.daily_cleanup',
'schedule': crontab(hour=2, minute=0),
'options': {
'queue': 'instance_b_queue',
'routing_key': 'beat_b.tasks.daily_cleanup'
}
},
'weekly-reports-instance-b': {
'task': 'apps.celery_app.tasks.weekly_reports',
'schedule': crontab(hour=6, minute=0, day_of_week=1),
'options': {
'queue': 'instance_b_queue',
'routing_key': 'beat_b.tasks.weekly_reports'
}
},
'data-export-instance-b': {
'task': 'apps.celery_app.tasks.data_export',
'schedule': crontab(hour=4, minute=0, day_of_week=0),
'options': {
'queue': 'instance_b_queue',
'routing_key': 'beat_b.tasks.data_export'
}
},
},
}

Service de Synchronisation RabbitMQ

# apps/celery_app/rabbitmq_sync.py
import pika
import json
import time
from django.conf import settings
from django.utils import timezone
from .models import BeatInstance, BeatTaskLock
import logging

logger = logging.getLogger(__name__)

class RabbitMQBeatSyncService:
"""Service de synchronisation Beat avec RabbitMQ"""

def __init__(self, instance_name, instance_type):
self.instance_name = instance_name
self.instance_type = instance_type
self.config = settings.RABBITMQ_BEAT_CONFIG.get(instance_type, {})

# Configuration RabbitMQ
self.connection_params = pika.ConnectionParameters(
host=settings.RABBITMQ_HOST,
port=settings.RABBITMQ_PORT,
virtual_host=settings.RABBITMQ_VHOST,
credentials=pika.PlainCredentials(
settings.RABBITMQ_USER,
settings.RABBITMQ_PASSWORD
)
)

self.connection = None
self.channel = None
self.exchange = self.config.get('exchange', f'beat_{instance_type}_exchange')
self.queue_prefix = self.config.get('queue_prefix', f'beat_{instance_type}')
self.routing_key_prefix = self.config.get('routing_key_prefix', f'beat_{instance_type}')
self.lock_timeout = self.config.get('lock_timeout', 300)
self.heartbeat_interval = self.config.get('heartbeat_interval', 60)

def connect(self):
"""Établit la connexion RabbitMQ"""
try:
self.connection = pika.BlockingConnection(self.connection_params)
self.channel = self.connection.channel()

# Déclarer l'exchange
self.channel.exchange_declare(
exchange=self.exchange,
exchange_type='direct',
durable=True
)

logger.info(f"Connexion RabbitMQ établie pour {self.instance_name}")
return True
except Exception as e:
logger.error(f"Erreur de connexion RabbitMQ: {e}")
return False

def disconnect(self):
"""Ferme la connexion RabbitMQ"""
try:
if self.channel:
self.channel.close()
if self.connection:
self.connection.close()
logger.info(f"Connexion RabbitMQ fermée pour {self.instance_name}")
except Exception as e:
logger.error(f"Erreur lors de la fermeture RabbitMQ: {e}")

def register_instance(self):
"""Enregistre l'instance Beat dans RabbitMQ"""
if not self.connect():
return False

try:
instance_data = {
'name': self.instance_name,
'type': self.instance_type,
'broker': 'rabbitmq',
'registered_at': timezone.now().isoformat(),
'last_heartbeat': timezone.now().isoformat(),
'status': 'active',
'config': self.config
}

# Créer une queue pour cette instance
instance_queue = f"{self.queue_prefix}.instance"
self.channel.queue_declare(
queue=instance_queue,
durable=True,
auto_delete=False
)

# Publier les données de l'instance
self.channel.basic_publish(
exchange=self.exchange,
routing_key=f"{self.routing_key_prefix}.instance",
body=json.dumps(instance_data),
properties=pika.BasicProperties(
delivery_mode=2, # Rendre le message persistant
expiration=str(self.lock_timeout * 1000) # TTL en millisecondes
)
)

# Créer ou mettre à jour dans Django
instance, created = BeatInstance.objects.get_or_create(
name=self.instance_name,
defaults={
'instance_type': self.instance_type,
'queue_name': f"{self.instance_type}_queue",
'broker_type': 'rabbitmq',
'config_data': self.config
}
)

if not created:
instance.last_heartbeat = timezone.now()
instance.broker_type = 'rabbitmq'
instance.save()

logger.info(f"Instance RabbitMQ {self.instance_name} enregistrée")
return True

except Exception as e:
logger.error(f"Erreur lors de l'enregistrement RabbitMQ: {e}")
return False
finally:
self.disconnect()

def update_heartbeat(self):
"""Met à jour le heartbeat de l'instance"""
if not self.connect():
return False

try:
instance_data = {
'name': self.instance_name,
'type': self.instance_type,
'broker': 'rabbitmq',
'last_heartbeat': timezone.now().isoformat(),
'status': 'active'
}

# Publier le heartbeat
self.channel.basic_publish(
exchange=self.exchange,
routing_key=f"{self.routing_key_prefix}.heartbeat",
body=json.dumps(instance_data),
properties=pika.BasicProperties(
delivery_mode=2,
expiration=str(self.lock_timeout * 1000)
)
)

# Mettre à jour dans Django
try:
instance = BeatInstance.objects.get(name=self.instance_name)
instance.last_heartbeat = timezone.now()
instance.save(update_fields=['last_heartbeat'])
except BeatInstance.DoesNotExist:
self.register_instance()

return True

except Exception as e:
logger.error(f"Erreur lors du heartbeat RabbitMQ: {e}")
return False
finally:
self.disconnect()

def acquire_task_lock(self, task_name, timeout=None):
"""Acquiert un verrou pour une tâche via RabbitMQ"""
if timeout is None:
timeout = self.lock_timeout

if not self.connect():
return False

try:
lock_data = {
'instance': self.instance_name,
'type': self.instance_type,
'broker': 'rabbitmq',
'acquired_at': timezone.now().isoformat(),
'timeout': timeout
}

# Créer une queue pour le verrou
lock_queue = f"{self.queue_prefix}.lock.{task_name}"
self.channel.queue_declare(
queue=lock_queue,
durable=True,
auto_delete=False,
arguments={'x-message-ttl': timeout * 1000} # TTL en millisecondes
)

# Vérifier si le verrou existe déjà
try:
method = self.channel.queue_declare(
queue=lock_queue,
passive=True # Vérifier l'existence sans créer
)
# Si on arrive ici, la queue existe déjà (verrou tenu)
logger.info(f"Verrou RabbitMQ déjà tenu pour {task_name}")
return False
except pika.exceptions.AMQPChannelError:
# La queue n'existe pas, on peut acquérir le verrou
pass

# Publier le verrou
self.channel.basic_publish(
exchange='', # Exchange par défaut
routing_key=lock_queue,
body=json.dumps(lock_data),
properties=pika.BasicProperties(
delivery_mode=2,
expiration=str(timeout * 1000)
)
)

# Enregistrer le verrou dans Django
try:
instance = BeatInstance.objects.get(name=self.instance_name)
BeatTaskLock.objects.create(
task_name=task_name,
instance=instance,
lock_key=lock_queue,
broker_type='rabbitmq',
expires_at=timezone.now() + timezone.timedelta(seconds=timeout)
)
except BeatInstance.DoesNotExist:
pass

logger.info(f"Verrou RabbitMQ acquis par {self.instance_name} pour {task_name}")
return True

except Exception as e:
logger.error(f"Erreur lors de l'acquisition du verrou RabbitMQ: {e}")
return False
finally:
self.disconnect()

def release_task_lock(self, task_name):
"""Libère un verrou pour une tâche"""
if not self.connect():
return False

try:
lock_queue = f"{self.queue_prefix}.lock.{task_name}"

# Supprimer la queue (ce qui libère le verrou)
self.channel.queue_delete(queue=lock_queue)

# Supprimer le verrou de Django
BeatTaskLock.objects.filter(
lock_key=lock_queue,
instance__name=self.instance_name
).delete()

logger.info(f"Verrou RabbitMQ libéré par {self.instance_name} pour {task_name}")
return True

except Exception as e:
logger.error(f"Erreur lors de la libération du verrou RabbitMQ: {e}")
return False
finally:
self.disconnect()

def get_instance_stats(self):
"""Récupère les statistiques de l'instance"""
stats = {
'instance_name': self.instance_name,
'instance_type': self.instance_type,
'broker': 'rabbitmq',
'config': self.config,
'exchange': self.exchange,
'queue_prefix': self.queue_prefix,
}

return stats