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Prerequisites:
1: Install RabbitMQ as it would be used as message broker for Celery. In windows, it would create a service, make sure the service is started.
2: Install Celery: pip install celery
Meat and Potatoes:
Senario 1: don‘t specify the backend for celery, if we don‘t care about the result
1. Create a module named tasks.py
from __future__ import absolute_import from celery import Celery import time app = Celery(‘tasks‘, broker=‘amqp://guest@localhost:5672//‘) @app.task def add(x, y): print ‘hello celery‘ time.sleep(10) return x + y
2. Start Celery worker
celery worker -A tasks --loglevel=INFO
You would see the console output like below,
-------------- celery@YUFA-7W v3.1.10 (Cipater) ---- **** ----- --- * *** * -- Windows-7-6.1.7601-SP1 -- * - **** --- - ** ---------- [config] - ** ---------- .> app: tasks:0x36871d0 - ** ---------- .> transport: amqp://guest@localhost:5672// - ** ---------- .> results: disabled - *** --- * --- .> concurrency: 8 (prefork) -- ******* ---- --- ***** ----- [queues] -------------- .> celery exchange=celery(direct) key=celery [tasks] . tasks.add [2014-03-26 15:43:11,263: INFO/MainProcess] Connected to amqp://guest@127.0.0.1:5672// [2014-03-26 15:43:11,285: INFO/MainProcess] mingle: searching for neighbors [2014-03-26 15:43:12,293: INFO/MainProcess] mingle: all alone [2014-03-26 15:43:12,302: WARNING/MainProcess] celery@YUFA-7W ready.
3. Test the method
Call the function "add",
>>> from tasks import add >>> result = add.delay(3,5) >>>
You would see something like below from Celery worker console,
[2014-03-26 15:55:04,117: INFO/MainProcess] Received task: tasks.add[0a52fd72-c7cd-4dc7-91a8-be51f1ff4df2] [2014-03-26 15:55:04,118: WARNING/Worker-1] hello celery [2014-03-26 15:55:14,130: INFO/MainProcess] Task tasks.add[0a52fd72-c7cd-4dc7-91a8-be51f1ff4df2] succeeded in 10.0110001564s: 8
If you want to see task status from client, you can use call "result.ready()". However, as we didn‘t specify the backend for Celery, by defualt it would use "DisabledBackend", you would encounter the following error,
>>> result.ready() Traceback (most recent call last): File "<stdin>", line 1, in <module> File "C:\Python27\lib\site-packages\celery\result.py", line 254, in ready return self.state in self.backend.READY_STATES File "C:\Python27\lib\site-packages\celery\result.py", line 390, in state return self._get_task_meta()[‘status‘] File "C:\Python27\lib\site-packages\celery\result.py", line 327, in _get_task_meta meta = self.backend.get_task_meta(self.id) File "C:\Python27\lib\site-packages\celery\backends\base.py", line 291, in get_task_meta meta = self._get_task_meta_for(task_id) AttributeError: ‘DisabledBackend‘ object has no attribute ‘_get_task_meta_for‘
To resolve this issue, here comes the following second senario.
Senario 2: Specify the backend for celery, if we do care about the result
1. Update the module tasks.py to specify parameter "backend" as "amqp". For other backend specification, refer to doc
from __future__ import absolute_import from celery import Celery import time app = Celery(‘tasks‘, backend="amqp", broker=‘amqp://guest@localhost:5672//‘) @app.task def add(x, y): print ‘hello celery‘ time.sleep(10) return x + y
2. Restart celery worker and open a new python shell. (This is important, otherwise the code update above won‘t take effect)
3. Test
>>> from tasks import add >>> result = add.delay(3,5) >>> result.ready() False >>> result.state ‘PENDING‘ >>> result.status ‘SUCCESS‘ >>> result.state ‘SUCCESS‘ >>> result.ready() True >>> result.get() 8 >>>
See also: https://denibertovic.com/posts/celery-best-practices/
A simple case to use Celery:,布布扣,bubuko.com
标签：style blog http color strong os
原文地址：http://www.cnblogs.com/fangwenyu/p/3625830.html
