8000 Fixes suggested by Tim. · SpringLearner/rabbitmq-tutorials@e19409c · GitHub
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Fixes suggested by Tim.
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‎python/tutorial-one.mdx

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@@ -150,15 +150,16 @@ messages from that queue.
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>
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> $ sudo pip install -e git+http://github.com/tonyg/pika.git#egg=pika
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>
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> If you don't have `pip`, you may need to install it.
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> The installation depends on `pip` and `git-core` packages, you may
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> need to install them.
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>
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> * On Ubuntu:
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>
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> $ sudo apt-get install python-pip
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> $ sudo apt-get install python-pip git-core
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>
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> * On Debian:
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>
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> $ sudo apt-get install python-setuptools
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> $ sudo apt-get install python-setuptools git-core
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> $ sudo easy_install pip
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### Sending

‎python/tutorial-three.mdx

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@@ -154,7 +154,7 @@ choose a random queue name for us. We can do it by not supplying the
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At that point `result.queue` contains a random queue name. For example it
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may look like `amq.gen-U0srCoW8TsaXjNh73pnVAw==`.
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Secondly, once we disconnect the client the queue should be
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Secondly, once we disconnect the consumer the queue should be
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deleted. There's an `auto_delete` flag for that:
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{% highlight python %}
@@ -291,13 +291,28 @@ The code for `receive_logs.py`:
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We're done. If you want to save logs to a file, just open a console and type:
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$ ./receive_logs.py > logs_from_rabbit.log
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$ python receive_logs.py > logs_from_rabbit.log
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If you wish to see the logs on your screen, spawn a new terminal and run:
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$ ./receive_logs.py
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$ python receive_logs.py
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And of course, to emit logs type:
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$ ./emit_log.py
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$ python emit_log.py
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Using `rabbitmqctl list_bindings` you can verify if the code actually
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creates bindings and queues as we wanted. With two `receive_logs.py`
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programs running you should see something like:
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$ sudo rabbitmqctl list_bindings
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Listing bindings ...
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...
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logs amq.gen-TJWkez28YpImbWdRKMa8sg== []
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logs amq.gen-x0kymA4yPzAT6BoC/YP+zw== []
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...done.
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The interpretation of the result is straightforward: data from
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exchange `logs` goes to two queues with server-assigned names. And
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that's exactly what we intended.

‎python/tutorial-two.mdx

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@@ -86,31 +86,31 @@ see.
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You need three consoles open. First two to run `worker.py`
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script. These consoles will be our two consumers - C1 and C2.
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shell1$ ./worker.py
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shell1$ python worker.py
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[*] Waiting for messages. To exit press CTRL+C
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shell2$ ./worker.py
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shell2$ python worker.py
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[*] Waiting for messages. To exit press CTRL+C
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On the
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third one we'll be publishing new tasks. Once you've started the
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consumers you can produce few messages:
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shell3$ ./new_task.py First message.
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shell3$ ./new_task.py Second message..
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shell3$ ./new_task.py Third message...
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shell3$ ./new_task.py Fourth message....
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shell3$ ./new_task.py Fifth message.....
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shell3$ python new_task.py First message.
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shell3$ python new_task.py Second message..
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shell3$ python new_task.py Third message...
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shell3$ python new_task.py Fourth message....
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shell3$ python new_task.py Fifth message.....
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Let's see what is delivered to our workers:
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shell1$ ./worker.py
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shell1$ python worker.py
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[*] Waiting for messages. To exit press CTRL+C
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[x] Received 'First message.'
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[x] Received 'Third message...'
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[x] Received 'Fifth message.....'
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shell2$ ./worker.py
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shell2$ python worker.py
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[*] Waiting for messages. To exit press CTRL+C
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[x] Received 'Second message..'
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[x] Received 'Fourth message....'

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