gevent-websocket

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

 http://www.apache.org/licenses/LICENSE-2.0

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Download-URL: https://www.gitlab.com/noppo/gevent-websocket Description: ================ gevent-websocket ================

    `gevent-websocket`_ is a WebSocket library for the gevent_ networking library.
    
    Features include:
    
    - Integration on both socket level or using an abstract interface.
    - RPC and PubSub framework using `WAMP`_ (WebSocket Application
      Messaging Protocol).
    - Easily extendible using a simple WebSocket protocol plugin API
    
    
    ::
    
        from geventwebsocket import WebSocketServer, WebSocketApplication, Resource
    
        class EchoApplication(WebSocketApplication):
            def on_open(self):
                print "Connection opened"
    
            def on_message(self, message):
                self.ws.send(message)
    
            def on_close(self, reason):
                print reason
    
        WebSocketServer(
            ('', 8000),
            Resource({'/': EchoApplication})
        ).serve_forever()
    
    or a low level implementation::
    
        from gevent import pywsgi
        from geventwebsocket.handler import WebSocketHandler
    
        def websocket_app(environ, start_response):
            if environ["PATH_INFO"] == '/echo':
                ws = environ["wsgi.websocket"]
                message = ws.receive()
                ws.send(message)
    
        server = pywsgi.WSGIServer(("", 8000), websocket_app,
            handler_class=WebSocketHandler)
        server.serve_forever()
    
    More examples can be found in the ``examples`` directory. Hopefully more
    documentation will be available soon.
    
    Installation
    ------------
    
    The easiest way to install gevent-websocket is directly from PyPi_ using pip or
    setuptools by running the commands below::
    
        $ pip install gevent-websocket
    
    
    Gunicorn Worker
    ^^^^^^^^^^^^^^^
    
    Using Gunicorn it is even more easy to start a server. Only the
    `websocket_app` from the previous example is required to start the server.
    Start Gunicorn using the following command and worker class to enable WebSocket
    funtionality for the application.
    
    ::
    
        gunicorn -k "geventwebsocket.gunicorn.workers.GeventWebSocketWorker" wsgi:websocket_app
    
    Performance
    ^^^^^^^^^^^
    
    `gevent-websocket`_ is pretty fast, but can be accelerated further by
    installing `wsaccel <https://github.com/methane/wsaccel>`_ and `ujson` or `simplejson`::
    
        $ pip install wsaccel ujson
    
    `gevent-websocket`_ automatically detects ``wsaccell`` and uses the Cython
    implementation for UTF8 validation and later also frame masking and
    demasking.
    
    Get in touch
    ^^^^^^^^^^^^
    
    Get in touch on IRC #gevent on Freenode or on the Gevent `mailinglist
    <https://groups.google.com/forum/#!forum/gevent>`_. Issues can be created
    on `Bitbucket <https://bitbucket.org/Jeffrey/gevent-websocket/issues?status=new&status=open>`_.
    
    .. _WAMP: http://www.wamp.ws
    .. _gevent-websocket: http://www.bitbucket.org/Jeffrey/gevent-websocket/
    .. _gevent: http://www.gevent.org/
    .. _Jeffrey Gelens: http://www.gelens.org/
    .. _PyPi: http://pypi.python.org/pypi/gevent-websocket/
    .. _repository: http://www.bitbucket.org/Jeffrey/gevent-websocket/
    .. _RFC6455: http://datatracker.ietf.org/doc/rfc6455/?include_text=1
    

Platform: UNKNOWN Classifier: Environment :: Web Environment Classifier: Intended Audience :: Developers Classifier: License :: OSI Approved :: Apache Software License Classifier: Operating System :: MacOS :: MacOS X Classifier: Operating System :: POSIX Classifier: Programming Language :: Python Classifier: Programming Language :: Python :: 2 Classifier: Programming Language :: Python :: 2.7 Classifier: Programming Language :: Python :: 3 Classifier: Programming Language :: Python :: 3.5 Classifier: Topic :: Internet Classifier: Topic :: Software Development :: Libraries :: Python Modules