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        "author": "Travis Mehlinger",
        "author_email": "tmehlinger@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: BSD License",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5"
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        "description": "Squishy\n=======\n\n.. image:: https://circleci.com/gh/tmehlinger/squishy/tree/master.svg?style=shield\n    :target: https://circleci.com/gh/tmehlinger/squishy/tree/master\n.. image:: https://coveralls.io/repos/github/tmehlinger/squishy/badge.svg?branch=master\n    :target: https://coveralls.io/github/tmehlinger/squishy?branch=master\n\n\nSquishy is a simple Amazon SQS consumer for Python. Many versions of Python\nare supported, including 2.7, 3.3, 3.4, and 3.5. 2.6 should work but it is\nuntested and unsupported.\n\nThis is currently *beta* software! It has a suite of tests and it's being used\nfor non-critical production tasks but it is still very young software.\n\n\nInstalling\n----------\n\nInstall from pypi: ``pip install squishy``\n\n\nDeveloping\n----------\n\n* Create a virtualenv.\n* Clone the repo.\n* Install the requirements. If you want to use the futures workers on Python\n  2.7, be sure to install `futures <https://pypi.python.org/pypi/futures>`_.\n* Run ``python setup.py develop`` to get the ``squishy`` CLI tool.\n\n\nUsing\n-----\n\nSquishy provides a CLI to run a worker that will dispatch messages to a\ncallback you define. The callback should accept a single parameter\nrepresenting a single message consumed from an SQS queue. The message will be\nan instance of `SQS.Message <http://boto3.readthedocs.io/en/latest/reference/services/sqs.html#message>`_.\n\nExample:\n\n.. code-block:: python\n\n    # my_consumer.py\n\n    def my_callback(message):\n        print('Got a message! Contents:', message.body)\n\nThen on the command line:\n\n``$ squishy run_consumer https://sqs.us-east-1.amazonaws.com/12345/my_queue my_consumer:my_callback``\n\n\nAuthentication\n--------------\n\nSquishy uses boto3, which will automatically load credentials from\n``$HOME/.aws/credentials``. If you need more control over authentication, you can\ngive Squishy a factory function for creating a custom session.\n\n\nCLI reference\n-------------\n\n::\n\n    $ squishy --help\n    Usage: squishy [OPTIONS] COMMAND [ARGS]...\n\n    Options:\n      --log-level [debug|info|warning|error|critical]\n                                      Logging level.\n      --botocore-log-level [debug|info|warning|error|critical]\n                                      botocore logging level.\n      --version                       Show the version and exit.\n      --help                          Show this message and exit.\n\n    Commands:\n      run_consumer\n\n\n    $ squishy run_consumer --help\n    Usage: squishy run_consumer [OPTIONS] QUEUE_URL CALLBACK\n\n    Options:\n      --session-factory TEXT          Factory function for a custom boto3.Session.\n      -c, --concurrency INTEGER       Worker concurrency.\n      -m, --polling-method [long|short]\n                                      Polling method.\n      -t, --polling-timeout INTEGER   Polling interval in seconds.\n      -n, --polling-count INTEGER     Number of messages to fetch when polling.\n      -w, --worker-class [futures_process|futures_thread|gevent|mp_process|mp_thread]\n                                      Worker class.\n      --help                          Show this message and exit.\n\n\nChangelog\n=========\n\n0.1.1\n-----\n\nBug fixes\n^^^^^^^^^\n* The string used to import a callback now much have a colon in it, matching the behavior of setuptools. This was implied before but not required.\n* The gevent worker no longer fails with an AttributeError when processing messages.\n\nNew features\n^^^^^^^^^^^^\n* Vastly improved test coverage.\n\n\n0.1.0\n-----\n\n**BREAKING CHANGES**\n^^^^^^^^^^^^^^^^^^^^\n* The consumer now dispatches an ``SQS.Message`` instance to the callback instead of dictionary.\n\nBug fixes\n^^^^^^^^^\n* Fixed a bug in the multiprocessing workers where they would iterate infinitely if the callback raised an exception.\n\nNew features\n^^^^^^^^^^^^\n* Squishy now has unit tests!\n\n0.0.3\n-----\n\nBug fixes\n^^^^^^^^^\n* Fixed relative imports for modules that have the same name as a package. (Alejandro Mesa)\n* Fixed missing import for gevent.monkey. (Alejandro Mesa)\n* Fixed a bug with passing the message to the worker process without unpacking the dictionary. (Alejandro Mesa)\n* Fixed a bug where the worker would fail to handle keyboard interrupts. (Alejandro Mesa)\n* Fixed a bug with deleting keys from the results_to_message list while iterating through the list. (Alejandro Mesa)\n\n0.0.2\n-----\n\nBug fixes\n^^^^^^^^^\n* Switched to RST to be PyPI-friendly.\n\n\n0.0.1\n-----\n\n* First release.\n\n\n",
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        "keywords": "squishy",
        "license": "BSD",
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