1.配置和启动RabbitMQ

2. 安装和使用celery

2.1 创建虚拟环境,并安装celery

$ mkdir celery_demo

$ cd celery_demo

$ virtualenv -p python3 venv3

$ ./venv3/bin/pip install celery

项目的目录结构说明：

-- celery_demo

    -- api.py

    -- celeryconfig.py

    -- rocket

        -- celery.py

        -- tasks.py

2.2 配置celery

创建配置文件 celeryconfig.py，里面包含CELERY_IMPORTS、BROKER_URL、CELERYD_LOG_FORMAT、CELERY_ROUTES.

# celeryconfig.py

RABBIT_MQ = {

    'HOST': '127.0.0.1',

    'PORT': 5672,

    'USER': 'test',

    'PASSWORD': '123456'

}

CELERY_IMPORTS = ("rocket.tasks", )

BROKER_URL = 'amqp://%s:%s@%s:%s/myvhost' % (RABBIT_MQ['USER'], RABBIT_MQ['PASSWORD'], RABBIT_MQ['HOST'], RABBIT_MQ['PORT'])

CELERYD_LOG_FORMAT = '[%(asctime)s] [%(levelname)s] %(message)s'

CELERY_ROUTES = {

        'rocket.tasks.add': {'queue': 'sunday'},

}

其中，参数定义如下：

CELERY_IMPORTS 导入的task
BROKER_URL指定了broker信息，即消息队列的地址。
CELERYD_LOG_FORMAT 指定了日志格式。
CELERY_ROUTES 指定了路由信息，即调用rocket.tasks.add后，消息具体放入哪个队列，这里是队列名称为sunday。

2.3 创建celery实例

创建目录

mkdir rocket

在rocket目录下，创建文件celery.py

from celery import Celery

app = Celery("orange", backend='amqp')

app.config_from_object("celeryconfig")

创建实例，并读取配置。

2.4 定义tasks

在rocket目录下，创建文件tasks.py

from rocket.celery import app

@app.task

def add(x, y):

        return x + y

定义tasks。

2.5 启动celery(即消费者)

确认当前所在的目录：

$ pwd

/workspace/celery_demo

启动消费者

$ ./venv3/bin/celery worker  -A rocket -Q sunday --loglevel=info  -f app.log

/workspace/celery_demo/venv3/lib/python3.6/site-packages/celery/backends/amqp.py:67: CPendingDeprecationWarning:

    The AMQP result backend is scheduled for deprecation in     version 4.0 and removal in version v5.0.     Please use RPC backend or a persistent backend.

  alternative='Please use RPC backend or a persistent backend.')

celery@admindeMacBook-Pro-2.local v4.3.0 (rhubarb)

Darwin-18.2.0-x86_64-i386-64bit 2019-04-22 20:53:56

[config]

.> app:         orange:0x10abdb6d8

.> transport:   amqp://test:**@127.0.0.1:5672/myvhost

.> results:     amqp://

.> concurrency: 8 (prefork)

.> task events: OFF (enable -E to monitor tasks in this worker)

[queues]

.> sunday           exchange=sunday(direct) key=sunday

[tasks]

  . rocket.tasks.add

2.6 生产者

创建文件api.py，会调用apply_async向队列中投放消息。

# api.py

from rocket.tasks import add

print("start...")

result = add.apply_async((1, 2), expires=10)

print("result:", result)

print(result.ready())

print("end...")

执行api.py，启动生产者

./venv3/bin/python api.py

start...

result: 6ef453e6-1797-4dd7-a2fc-bd6ef8096fde

True

end...

2.6 查看结果

查看日志文件app.log

[2019-04-23 09:53:46,406] [INFO] Connected to amqp://test:**@127.0.0.1:5672/myvhost

[2019-04-23 09:53:46,420] [INFO] mingle: searching for neighbors

[2019-04-23 09:53:47,455] [INFO] mingle: all alone

[2019-04-23 09:53:47,474] [INFO] celery@admindeMacBook-Pro-2.local ready.

[2019-04-23 09:53:55,850] [INFO] Received task: rocket.tasks.add[6ef453e6-1797-4dd7-a2fc-bd6ef8096fde]   expires:[2019-04-23 01:54:05.817853+00:00]

[2019-04-23 09:53:55,876] [INFO] Task rocket.tasks.add[6ef453e6-1797-4dd7-a2fc-bd6ef8096fde] succeeded in 0.023095715092495084s: 3

参考

using celery in project

巴特西

celery+RabbitMQ 实战记录2—工程化使用