The rabbitmq image started with docker cannot be exposed (providing services to the outside world)

Question

Start container command:

sudo docker run --name rabbit -d -p 5672:5672 -p 15672:15672 rabbitmq:management

producer code:

    import pika
    connection = pika.BlockingConnection(pika.ConnectionParameters('rabbit'))
    channel = connection.channel()
    channel.queue_declare(queue='task_queue', durable=True)


    message = 'hello!'
    channel.basic_publish(exchange='',
                          routing_key='task_queue',
                          body=message,
                          )
    print(" [x] Sent %r" % message)
    connection.close()

Error message:

Traceback (most recent call last):
  File "producer_queue.py", line 31, in <module>
    main()
  File "producer_queue.py", line 13, in main
    connection = pika.BlockingConnection(pika.ConnectionParameters('rabbit'))
  File "/usr/local/lib/python2.7/site-packages/pika/adapters/blocking_connection.py", line 339, in __init__
    self._process_io_for_connection_setup()
  File "/usr/local/lib/python2.7/site-packages/pika/adapters/blocking_connection.py", line 374, in _process_io_for_connection_setup
    self._open_error_result.is_ready)
  File "/usr/local/lib/python2.7/site-packages/pika/adapters/blocking_connection.py", line 395, in _flush_output
    raise exceptions.ConnectionClosed()
pika.exceptions.ConnectionClosed

I saw the codes from colleagues and online are the same as mine, but they can use services directly outside the container

Another way to mount the code into a python container can also be used normally

sudo docker run -v $PWD:/code -w /code --link=rabbit:rabbit -it python:2 bash

But this is too troublesome and unreasonable

I don’t know where the problem is. Please solve it

Answer 1

1. If the host is accessed, try using 127.0.0.1 or localhost. First check whether rabbitmq is started successfully, then check the port service, and also check the log

2. I recommend using docker-compose orchestration service, and I also recommend using python to mount it into a container.