在Django中使用Celery

首先需要确保安装依赖

pip install celery redis eventlet

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在创建的app文件内添加tasks.py

# app01/tasks.py
from celery import shared_task
 
@shared_task
def simple_task():
    print('Task executed successfully')

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在项目目录下(与settings.py文件同级)添加celery.py

# Projects/project_api/celery.py
from __future__ import absolute_import, unicode_literals
import os
from celery import Celery
 
# 设置默认的 Django settings 模块
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'project_api.settings')
 
app = Celery('project_api')
 
# 使用 Django 的 settings 文件配置 Celery
app.config_from_object('django.conf:settings', namespace='CELERY')
 
# 手动导入任务模块
app.autodiscover_tasks(lambda: ['app01.tasks'])

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配置settings.py

CELERY_BROKER_URL = 'redis://localhost:6379/0'
CELERY_RESULT_BACKEND = 'redis://localhost:6379/0'
CELERY_ACCEPT_CONTENT = ['json']
CELERY_TASK_SERIALIZER = 'json'
CELERY_RESULT_SERIALIZER = 'json'
CELERY_TIMEZONE = 'UTC'
 
from .celerybeat_schedule import CELERY_BEAT_SCHEDULE

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配置celerybeat_schedule.py（以每隔10秒执行一次为例）

# Projects/project_api/celerybeat_schedule.py
from celery.schedules import crontab
 
CELERY_BEAT_SCHEDULE = {
    'execute-simple-task-every-10-seconds': {
        'task': 'app01.tasks.simple_task',
        'schedule': 10.0,  # 每隔10秒钟执行一次
    },
}

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启动worker和beat

# 开启两个命令框，分别执行
celery -A Reports worker -l info -P eventlet
celery -A Reports beat -l info