Django-芹菜与RabbitMQ:任务始终处于挂起状态
我必须使用芹菜4.0.2和RabbitMQ 3.6.10来处理异步任务。然后,我学习了本教程: 然而,我的任务有一个小问题,因为不可能有结果。我的任务始终处于“挂起”状态 我的问题是我必须做什么才能得到结果 提前感谢您的回答 这里是我的代码:Django-芹菜与RabbitMQ:任务始终处于挂起状态,django,asynchronous,rabbitmq,celery,Django,Asynchronous,Rabbitmq,Celery,我必须使用芹菜4.0.2和RabbitMQ 3.6.10来处理异步任务。然后,我学习了本教程: 然而,我的任务有一个小问题,因为不可能有结果。我的任务始终处于“挂起”状态 我的问题是我必须做什么才能得到结果 提前感谢您的回答 这里是我的代码: >>> from blog.tasks import * >>> job = add.delay(2,3) >>> job.state 'PENDING' >>> job.result
>>> from blog.tasks import *
>>> job = add.delay(2,3)
>>> job.state
'PENDING'
>>> job.result
>>>
这里是我的_uinit_uuuy.py:
from __future__ import absolute_import, unicode_literals
# This will make sure the app is always imported when
# Django starts so that shared_task will use this app.
from .celery import app as celery_app
__all__ = ['celery_app']
这里是我的setting.py的一部分:
BROKER_URL = 'amqp://guest:guest@localhost//'
CELERY_ACCEPT_CONTENT = ['json']
CELERY_TASK_SERIALIZER = 'json'
CELERY_RESULT_SERIALIZER = 'json'
这是我的芹菜.py:
from __future__ import absolute_import, unicode_literals
import os
from celery import Celery
# set the default Django settings module for the 'celery' program.
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'mysite.settings')
app = Celery('mysite',
backend='amqp',
broker='amqp://guest@localhost//')
# Using a string here means the worker don't have to serialize
# the configuration object to child processes.
# - namespace='CELERY' means all celery-related configuration keys
# should have a `CELERY_` prefix.
app.config_from_object('django.conf:settings', namespace='CELERY')
# Load task modules from all registered Django app configs.
app.autodiscover_tasks()
@app.task(bind=True)
def debug_task(self):
print('Request: {0!r}'.format(self.request))
还有我的任务.py
# Create your tasks here
from __future__ import absolute_import, unicode_literals
from celery import shared_task
@shared_task
def add(x, y):
test = "ok"
current_task.update_state(state='PROGRESS',
meta={'test': ok})
return x + y
这里是我的Django Shell:
>>> from blog.tasks import *
>>> job = add.delay(2,3)
>>> job.state
'PENDING'
>>> job.result
>>>
带我的RabbitMQ接口的图片:
您需要启动一个工作进程来处理添加到队列中的任务。从您的virtualenv跑步:
celery worker -A blog -l info
感谢您的快速回答,请参见下文。