用python的pika包尝尝rabbitmq

<rabbitmq实践>，讲得比较细，

我也用python实打了一下，

以后再用celery时，理解会更深入。

hello_world_producer.py

#coding=utf-8 

import pika, sys



#建立到代理服务器的连接
credentials = pika.PlainCredentials("guest", "guest")
conn_params = pika.ConnectionParameters("localhost", credentials=credentials)

conn_broker = pika.BlockingConnection(conn_params)

#获得信道
channel = conn_broker.channel()

#声明交换器
channel.exchange_declare(exchange="hello-exchange",
                         exchange_type="direct",
                         passive=False,
                         durable=True,
                         auto_delete=False)

#从命令行获取纯文本消息
msg = sys.argv[1]
msg_props = pika.BasicProperties()
msg_props.content_type = "text/plain"


#发布消息
channel.basic_publish(body=msg,
                      exchange="hello-exchange",
                      properties=msg_props,
                      routing_key="hola")

#coding=utf-8 

import pika, sys



#建立到代理服务器的连接
credentials = pika.PlainCredentials("guest", "guest")
conn_params = pika.ConnectionParameters("localhost", credentials=credentials)

conn_broker = pika.BlockingConnection(conn_params)

#获得信道
channel = conn_broker.channel()

#声明交换器
channel.exchange_declare(exchange="hello-exchange",
                         exchange_type="direct",
                         passive=False,
                         durable=True,
                         auto_delete=False)


#声明队列
channel.queue_declare(queue="hello-queue")
#通过hola路由键将队列和交换器绑定
channel.queue_bind(queue="hello-queue",
                   exchange="hello-exchange",
                   routing_key="hola")

# 用于处理传入的消息的函数
def msg_consumer(channel, method, header, body):
    # 消息确认
    channel.basic_ack(delivery_tag=method.delivery_tag)
    if body == b"quit":
        #信上消费并退出
        channel.basic_cancel(consumer_tag="hello-consumer")
        channel.stop_consuming()
    else:
        print(body)
    return

channel.basic_consume(msg_consumer,
                      queue="hello-queue",
                      consumer_tag="hello-consumer")

#开始消费
channel.start_consuming()