django+celery+redis实现运行定时任务

来源:互联网 发布:js舞蹈培训中心靠谱么 编辑:程序博客网 时间:2024/06/01 15:21

0、目的

在开发项目中,经常有一些操作时间比较长(生产环境中超过了nginx的timeout时间),或者是间隔一段时间就要执行的任务。
在这种情况下,使用celery就是一个很好的选择。
 
celery是一个异步任务队列/基于分布式消息传递的作业队列。
Celery通过消息(message)进行通信,使用代理(broker)在客户端和工作执行者之间进行交互。
当开始一个任务时,客户端发送消息到队列并由代理将其发往响应的工作执行者处。
 
准备使用redis作为消息代理(broker),Django数据库作为结果存储(ResultStore)。
 

1、安装

redis:
windows:
https://github.com/MSOpenTech/redis/releases/
linux:
yum install redis-server
PS:需要在cmd中运行,不能再powercmd。很奇怪。
pip install celery
pip install celery-with-redis
pip install django-celery
 

2、django代码(whthas_home为project,portal为app)

修改代码,whthas_home/__init__.py
1 from __future__ import absolute_import2 3 from .celery import app as celery_app

修改代码,whthas_home/setting.py

复制代码
 1 # Celery settings 2 import djcelery 3 djcelery.setup_loader() 4  5 BROKER_URL = 'redis://127.0.0.1:6379/0' 6 CELERY_RESULT_BACKEND = 'redis://127.0.0.1:6379/0'##加密方式CELERY_RESULT_BACKEND = 'redis://:密码@127.0.0.1:6379/0'  7 CELERY_ACCEPT_CONTENT = ['json']  8 CELERY_TASK_SERIALIZER = 'json'  9 CELERY_RESULT_SERIALIZER = 'json' 10 CELERYBEAT_SCHEDULER = 'djcelery.schedulers.DatabaseScheduler' 11 CELERY_TIMEZONE = 'Asia/Shanghai' 12  13 # Application definition 14  15 INSTALLED_APPS = [ 16     'django.contrib.auth', 17     'django.contrib.contenttypes', 18     'django.contrib.sessions', 19     'django.contrib.messages', 20     'django.contrib.staticfiles', 21     'suit', 22     'django.contrib.admin', 23     'DjangoUeditor', 24     'portal', 25     'djcelery', 26 ]
复制代码

增加文件, whthas_home/celery.py

复制代码
 1 from __future__ import absolute_import 2  3 import os 4 from celery import Celery 5 from django.conf import settings 6  7 os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'whthas_home.settings') 8  9 app = Celery('portal')10 11 app.config_from_object('django.conf:settings')12 app.autodiscover_tasks(lambda: settings.INSTALLED_APPS)13 14 15 @app.task(bind=True)16 def debug_task(self):17     print('Request: {0!r}'.format(self.request))
复制代码
增加文件,portal/tasks.py
复制代码
 1 from celery import task 2 from time import sleep 3  4  5 @task() 6 def Task_A(message): 7     Task_A.update_state(state='PROGRESS', meta={'progress': 0}) 8     sleep(10) 9     Task_A.update_state(state='PROGRESS', meta={'progress': 30})10     sleep(10)11     return message12 13 14 def get_task_status(task_id):15     task = Task_A.AsyncResult(task_id)16 17     status = task.state18     progress = 019 20     if status == u'SUCCESS':21         progress = 10022     elif status == u'FAILURE':23         progress = 024     elif status == 'PROGRESS':25         progress = task.info['progress']26     27     return {'status': status, 'progress': progress}
复制代码

3、测试

启动broker:python manage.py celeryd -l info
进入shell:python manage.py shell,测试程序是否正常。 
复制代码
>>> from portal.tasks import *>>> t = TaskA.delay("heel2")>>> get_task_status(t.id){'status': u'PROGRESS', 'progress': 0}>>> get_task_status(t.id){'status': u'PROGRESS', 'progress': 0}>>> get_task_status(t.id){'status': u'PROGRESS', 'progress': 30}>>> get_task_status(t.id){'status': u'PROGRESS', 'progress': 30}>>> get_task_status(t.id){'status': u'SUCCESS', 'progress': 100}>>> 
复制代码

同时broker侧能看到: 

[2017-04-21 16:38:47,023: INFO/MainProcess] Received task: portal.tasks.Task_A[da948495-c64b-4ff9-882b-876721cd5017][2017-04-21 16:39:07,035: INFO/MainProcess] Task portal.tasks.Task_A[da948495-c64b-4ff9-882b-876721cd5017] succeeded in 20.0099999905s: heel

表示代码能正常运行。

 

使用redis-client看到任务状态:
127.0.0.1:6379> get "celery-task-meta-da948495-c64b-4ff9-882b-876721cd5017""{\"status\": \"SUCCESS\", \"traceback\": null, \"result\": \"heel\", \"children\": []}"

相关redis命令:keys *

 4、django后台定义任务

进入后台
 设置任务

5、执行任务

启动broker:python manage.py celeryd -l info

因为这里是个定时任务,所以还需要启动心跳 :python manage.py celery beat  
broker侧能看到: 
复制代码
[2017-04-21 16:56:33,216: INFO/MainProcess] Received task: portal.tasks.Task_A[d8a26977-8413-4bf0-b518-b53052af4cee][2017-04-21 16:56:53,211: INFO/MainProcess] Received task: portal.tasks.Task_A[00f1cab7-eb56-4cc3-9979-a8a68aaaf2de][2017-04-21 16:56:53,220: INFO/MainProcess] Task portal.tasks.Task_A[d8a26977-8413-4bf0-b518-b53052af4cee] succeeded in 20.003000021s: heel2[2017-04-21 16:57:13,211: INFO/MainProcess] Received task: portal.tasks.Task_A[aa652612-8525-4110-94ea-9010085ec20b][2017-04-21 16:57:13,223: INFO/MainProcess] Task portal.tasks.Task_A[00f1cab7-eb56-4cc3-9979-a8a68aaaf2de] succeeded in 20.0080001354s: heel2[2017-04-21 16:57:33,213: INFO/MainProcess] Received task: portal.tasks.Task_A[9876890e-6a71-4501-bdae-775492ebae88][2017-04-21 16:57:33,219: INFO/MainProcess] Task portal.tasks.Task_A[aa652612-8525-4110-94ea-9010085ec20b] succeeded in 20.0050001144s: heel2[2017-04-21 16:57:53,211: INFO/MainProcess] Received task: portal.tasks.Task_A[c12fcffc-3910-4a22-93b3-0df740910728][2017-04-21 16:57:53,221: INFO/MainProcess] Task portal.tasks.Task_A[9876890e-6a71-4501-bdae-775492ebae88] succeeded in 20.0069999695s: heel2[2017-04-21 16:58:13,211: INFO/MainProcess] Received task: portal.tasks.Task_A[ccfad575-c0b4-48f5-9385-85ff5dac76fc][2017-04-21 16:58:13,217: INFO/MainProcess] Task portal.tasks.Task_A[c12fcffc-3910-4a22-93b3-0df740910728] succeeded in 20.003000021s: heel2[2017-04-21 16:58:33,211: INFO/MainProcess] Received task: portal.tasks.Task_A[0d6f77a6-a29c-4ead-9428-e3e758c754e1][2017-04-21 16:58:33,221: INFO/MainProcess] Task portal.tasks.Task_A[ccfad575-c0b4-48f5-9385-85ff5dac76fc] succeeded in 20.007999897s: heel2[2017-04-21 16:58:53,211: INFO/MainProcess] Received task: portal.tasks.Task_A[34b2b3a0-771c-4a28-94a1-92e25763fae1][2017-04-21 16:58:53,217: INFO/MainProcess] Task portal.tasks.Task_A[0d6f77a6-a29c-4ead-9428-e3e758c754e1] succeeded in 20.0039999485s: heel2[2017-04-21 16:59:13,211: INFO/MainProcess] Received task: portal.tasks.Task_A[d4be920f-376a-46a2-9edd-095234d29ef2][2017-04-21 16:59:13,217: INFO/MainProcess] Task portal.tasks.Task_A[34b2b3a0-771c-4a28-94a1-92e25763fae1] succeeded in 20.0039999485s: heel2
复制代码
可见:设置定时任务成功。
 
参考资料:
1、https://gist.github.com/tyrchen/1436486,Django-celery + Redis notes
2、http://www.cnblogs.com/aguncn/p/4947092.html,django celery redis简单测试
3、https://my.oschina.net/kinegratii/blog/292395?fromerr=2lvw3H0L,djcelery入门:实现运行定时任务
原创粉丝点击