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我正在尝试djcelery在我的 Django 应用程序中进行rabbitmq配置，该应用程序由Ubuntu 14.04托管在Google Compute Engine.

在尝试使用调试模式启动 celery:python manage.py celery worker -B -E --loglevel=debug时，命令将被终止，输出如下：

[2016-03-24 12:16:09,568: DEBUG/MainProcess] | Worker: Preparing bootsteps.
[2016-03-24 12:16:09,571: DEBUG/MainProcess] | Worker: Building graph...
[2016-03-24 12:16:09,572: DEBUG/MainProcess] | Worker: New boot order: {Timer, Hub, Queues (intra), Pool, Autoscaler, StateDB, Autoreloader, Beat, Consumer}
[2016-03-24 12:16:09,575: DEBUG/MainProcess] | Consumer: Preparing bootsteps.
[2016-03-24 12:16:09,576: DEBUG/MainProcess] | Consumer: Building graph...
[2016-03-24 12:16:09,577: DEBUG/MainProcess] | Consumer: New boot order: {Connection, Events, Mingle, Tasks, Control, Agent, Heart, Gossip, event loop}
<user>@<gce.host>:~/path/to/my/project$

什么可能是这个问题的原因？ 相同的设置正在我的本地 ubuntu 机器上运行，据我所知，我已按照云服务器上的所有步骤进行操作。

附加信息：我验证的事情

  1. RabbitMQ 服务器运行良好。日志文件的输出：

=INFO REPORT==== 24-Mar-2016::17:02:14 === 接受 AMQP 连接 <0.209.0> (127.0.0.1:42326 -> 127.0.0.1:5672)

=INFO REPORT==== 24-Mar-2016::17:02:14 === 接受 AMQP 连接 <0.219.0> (127.0.0.1:42327 -> 127.0.0.1:5672)

=INFO REPORT==== 24-Mar-2016::17:02:17 === 接受 AMQP 连接 <0.229.0> (127.0.0.1:42328 -> 127.0.0.1:5672)

  1. 我的机器上的端口5672是打开的。我还打开了 port: tcp:5555, tcp:4369, tcp:15672，正如这里tcp:5671提到的（为了更安全）。

芹菜在我的项目中的配置：

安装celery并django-celery打包。创建rabbitMQ用户并使用命令设置其权限：

sudo rabbitmqctl add_user <user> <password>
sudo rabbitmqctl set_permissions -p / <user> ".*" ".*" ".*"

在settings.py文件中，我添加了：

import djcelery
djcelery.setup_loader()

MIDDLEWARE_CLASSES = [ 'django.middleware.transaction.TransactionMiddleware',
                       ..]

INSTALLED_APPS = ['djcelery',
                  ..]

celery.py的内容如下：

from __future__ import absolute_import

import os

from datetime import timedelta
from celery import Celery
from celery.schedules import crontab

from django.conf import settings


# set the default Django settings module for the 'celery' program.
os.environ.setdefault('DJANGO_SETTINGS_MODULE', '<my_project>.settings')

app = Celery('<my_project>')

# Using a string here means the worker will not have to
# pickle the object when using Windows.
app.config_from_object('<my_project>.settings')
# app.autodiscover_tasks(lambda: settings.INSTALLED_APPS)

app.conf.update(
    CELERY_ACCEPT_CONTENT = ['json'],
    CELERY_TASK_SERIALIZER = 'json',
    CELERY_RESULT_SERIALIZER = 'json',
    BROKER_URL = 'amqp://<user>:<password>@localhost:5672//',
    # BROKER_URL = 'django://',
    CELERY_RESULT_BACKEND = "amqp",
    CELERY_IMPORTS = ("<module1>.tasks", "<module2>.tasks.tasks", "<module3>.tasks.tasks"),
    CELERY_ALWAYS_EAGER = False,
    # CELERY_RESULT_BACKEND='djcelery.backends.database:DatabaseBackend',
    # CELERY_TIMEZONE = 'Europe/London'
    CELERY_TIMEZONE = 'UTC',
    CELERYBEAT_SCHEDULE = {
        'debug-test': {
            'task': '<module1>.tasks.test_celery',
            'schedule': timedelta(seconds=5),
            # 'args': (1, 2)
        },
    }
)
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1 回答 1

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最后我能够解决这个问题。我系统上的版本celery和django-celery软件包不同。

ubuntu@my-host:~/path/to/project$ pip freeze | grep celery
celery==3.1.21
django-celery==3.1.17

更改 celery 版本以3.1.17修复它。要更改pip的包版本，请使用：

ubuntu@my-host:~/path/to/project$ sudo pip install -I celery==3.1.17
于 2016-03-24T21:39:56.187 回答