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QueueFetcher makes dealing with SQS queues in Django easier

Project description

CircleCI PyPI version

QueueFetcher allows you to deal with Amazon SQS queues in an easier manner in Django.

It provides:

  • run_queue management task to start the task from cli

  • QueueFetcher class to do the heavy lifting with the pieces seperated out and testable

Getting started

Install queue-fetcher from pip


Add to your

TEST_SQS = False

    'Internal Name': 'Name On Amazon'

Now build your tasks in your tasks package:

from queue_fetcher.tasks import QueueFetcher

class SampleQueueTask(QueueFetcher):
    queue = 'test'

    def process_sample(self, msg):
        raise NotImplementedError('This does nothing.. yet')

QueueFetcher expects messages from SQS to contain a list of events, with each event containing a message_type attribute of something like update_transaction.

This is then dispatched to a function prefixed with process_.

Visibility Timeout

Tasks run from Django Queue Fetcher can, when they hit an error, keep thrashing your SQS queues. We recommend you set a visibility_timeout on each task to minimise your costs and any errors you send to your logs:

from queue_fetcher.tasks import QueueFetcher

class MyQueueFetcher(QueueFetcher):
    """Same Queue Fetcher.

    queue = 'test'
    visibility_timeout = 60  # Tell SQS to give us 60 seconds to process

    def process_my_message(self, msg):
        """Process a message.
        return True

Testing your Code

The queue-fetcher app includes a QueueTestCase class that removes the need to handle SQS in your test code. To use it, simple extend the class and use get_yaml or get_json to get your fixtures, located in the same app as your test.

from queue_fetcher.test import QueueTestCase

from .tasks import ExampleTaskClass

class ExampleTestCase(QueueTestCase):

    def test_my_app(self):
        fixture = self.get_json('exampleapp/test.sqs.json')
        task = ExampleTaskClass()

        # Insert your assertions here

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