Django celery异步任务实现代码示例

时间:2020-11-26 人气:0

最近项目中用到celery很多，Django快速接入celery，这里给份教程。

准备

pip安装celery、flower、eventlet

快速接入

1.项目目录的__init__文件

from __future__ import absolute_import

# This will make sure the app is always imported when
# Django starts so that shared_task will use this app.
from .celerypro import app as celery_app

2.celerypro.py文件

from __future__ import absolute_import
import os
from celery import Celery
from django.conf import settings

# set the default Django settings module for the 'celery' program.
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'voice_quality_assurance_configure.settings') #修改项目配置文件的地址
app = Celery('voice_quality_assurance_configure') #修改项目目录名称
# Using a string here means the worker will not have to
# pickle the object when using Windows.
app.config_from_object('voice_quality_assurance_configure.celeryconfig') #修改celery配置文件的地址
app.autodiscover_tasks(lambda: settings.INSTALLED_APPS)

3.celeryconfig.py文件,更多配置项，可以查看官方文档。

from kombu import Queue
BROKER_URL = 'amqp://用户名:密码@ip:5672'# 指定 Broker
CELERY_RESULT_BACKEND = 'rpc://用户名:密码@ip:5672'# 指定 Backend
CELERY_TIMEZONE='Asia/Shanghai'# 指定时区，默认是 UTC
CELERY_TASK_SERIALIZER = 'pickle'
CELERY_RESULT_SERIALIZER = 'pickle'
CELERY_ACCEPT_CONTENT = ['pickle', 'json']
CELERY_IGNORE_RESULT = True
# CELERY_TIMEZONE='UTC'
CELERY_IMPORTS = (
  # 指定导入的任务模块
  'apps.mission.tasks'
)
CELERY_QUEUES = (
  Queue('default', routing_key='default'), #声明队列和对应路由键
  Queue('worker_queue', routing_key='worker'), #声明队列和对应路由键
)
CELERY_ROUTES = {
  'apps.mission.tasks.createsingletask': {'queue': 'worker_queue', 'routing_key': 'worker'},
}

app代码如何使用

app下新建tasks.py文件，名字一定要是tasks。（我这里是mission app下的tasks.py）

from celery import shared_task
@shared_task()
def createsingletask():
  print(test)

app下views调用如下：（我这里是mission app下的views.py）

from .tasks import createsingletask

createsingletask.apply_async(())

快速测试和监控

启动多个celery worker，-A 指定项目目录， -P 指定方式，我这里以协程方式运行， -n指定name

celery worker -A voice_quality_assurance_configure --loglevel=info -P eventlet -n worker1
celery worker -A voice_quality_assurance_configure --loglevel=info -P eventlet -n worker2
celery worker -A voice_quality_assurance_configure --loglevel=info -P eventlet -n worker3
celery worker -A voice_quality_assurance_configure --loglevel=info -P eventlet -n worker4
celery worker -A voice_quality_assurance_configure --loglevel=info -P eventlet -n worker5

启动flower监控

celery flower --broker=amqp://用户名:密码@ip:5672 --broker-api=http://用户名:密码@ip:15672/api/

查看监控,注意这里的监控数据是不持久化的。

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