AiOpsWechat/celery_config.py

from celery import Celery


from config import load_config,conf
from urllib.parse import quote


load_config()

KAFKA_BOOTSTRAP_SERVERS = conf().get("kafka_bootstrap_servers")
KAFKA_TOPIC = 'topic.ai.ops.wx'
KAFKA_GROUP_ID = 'ai-ops-wx'

redis_host=conf().get("redis_host")
redis_port=conf().get("redis_port")
redis_password=conf().get("redis_password") 
redis_db=conf().get("redis_db") 
encoded_password = quote(redis_password) 

# 配置 Celery
celery_app = Celery(
    "worker",
    broker=f"redis://:{encoded_password}@{redis_host}:{redis_port}/{redis_db}",
    backend=f"redis://:{encoded_password}@{redis_host}:{redis_port}/{redis_db}",
    include=['tasks']
)

# 配置 redbeat 作为 Celery Beat 调度器
celery_app.conf.update(
    timezone="Asia/Shanghai",  # 设定时区
    beat_scheduler="redbeat.RedBeatScheduler",  # 使用 RedBeat 作为调度器
    redbeat_redis_url=f"redis://:{encoded_password}@{redis_host}:{redis_port}/{redis_db}"  # redbeat 存储任务调度信息的 Redis
    ,
    redbeat_lock_timeout=60,  # 避免多个 Beat 实例冲突
    beat_max_loop_interval=5  # 让 Celery Beat 每 5 秒检查一次任务
)


# 获取配置文件中的 redis_config、kafka_config、gewe_config
redis_config = {
    'host': redis_host,
    'port': redis_port,
    'password': redis_password,
    'db': redis_db,
}


kafka_config = {
    'bootstrap_servers': KAFKA_BOOTSTRAP_SERVERS,
    'topic': KAFKA_TOPIC,
    'group_id': KAFKA_GROUP_ID,
}
gewe_config = {
    'api_url': "http://api.geweapi.com/gewe",
}