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A gevent based python client for NSQ.

Project description

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A gevent based python client for NSQ.

Features include:

  • Free software: BSD license

  • Documentation: http://gnsq.readthedocs.org

  • Battle tested on billions and billions of messages </sagan>

  • Based on gevent for fast concurrent networking

  • Fast and flexible signals with Blinker

  • Automatic nsqlookupd discovery and back-off

  • Support for TLS, DEFLATE, and Snappy

  • Full HTTP clients for both nsqd and nsqlookupd

Installation

At the command line:

$ easy_install gnsq

Or even better, if you have virtualenvwrapper installed:

$ mkvirtualenv gnsq
$ pip install gnsq

Currently there is support for Python 2.6 and Python 2.7. Support for Python 3 is dependent on gevent support.

Usage

To use gnsq in a project:

import gnsq
reader = gnsq.Reader('topic', 'channel', 'localhost:4150')

@reader.on_message.connect
def handler(reader, message):
    do_work(message.body)

reader.start()

Dependencies

Optional snappy support depends on the python-snappy package which in turn depends on libsnappy:

# Debian
$ sudo apt-get install libsnappy-dev

# Or OS X
$ brew install snappy

# And then install python-snappy
$ pip install python-snappy

Contributing

Feedback, issues, and contributions are always gratefully welcomed. See the contributing guide for details on how to help and setup a development environment.

History

0.1.4 (2014-07-24)

  • Preemptively update ready count.

  • Dependency and contributing documentation.

  • Support for nsq back to 0.2.24.

0.1.3 (2014-07-08)

  • Block as expected on start, even if already started.

  • Raise runtime error if starting the reader without a message handler.

  • Add on_close signal to the reader.

  • Allow upgrading to tls+snappy or tls+deflate.

0.1.2 (2014-07-08)

  • Flush delfate buffer for each message.

0.1.1 (2014-07-07)

  • Fix packaging stream submodule.

  • Send queued messages before closing socket.

  • Continue to read from socket on EAGAIN

0.1.0 (2014-07-07)

  • First release on PyPI.

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