django celery redis 定时任务

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_import

2

3 from .celery import app as celery_app

修改代码，whthas_home/setting.py

 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'
 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 ]

增加文件， whthas_home/celery.py

 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))

增加文件，portal/tasks.py

 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 message

12

13

14 def get_task_status(task_id):

15     task = Task_A.AsyncResult(task_id)

16

17     status = task.state

18     progress = 0

19

20     if status == u'SUCCESS':

21         progress = 100

22     elif status == u'FAILURE':

23         progress = 0

24     elif status == 'PROGRESS':

25         progress = task.info['progress']

26

27     return {'status': status, 'progress': progress}

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。

>>> 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}

>>>

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\": []}"

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：

[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

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

另一个教程： https://www.cnblogs.com/alex3714/p/6351797.html

二：

如果有耗时比较长的任务，也可以用celery先返回一个ID，然后在页面中用ajax拿着id再取结果。