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Message Queue for bottle.py built upon HotQueue.
Python
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.travis.yml
MANIFEST.in
README.rst
bottlehotqueue.py
setup.py
test.py

README.rst

bottlehotqueue

FIFO message queue plugin for bottle.py based on HotQueue

bottle.py is a fast and simple micro-framework for python web-applications.

HotQueue is a Python library that allows you to use Redis as a message queue within your Python programs.

Installation

$ pip install bottle-hotqueue

From source

$ python setup.py install

Dependencies

bottle and hotqueue

Getting Started

Importing and using the plugin with Bottle

import bottle
from bottlehotqueue import Plugin


app = bottle.Bottle()
hotqueue = Plugin(keyword="myhotqueue")
app.install(hotqueue)


@app.post('/put/:value', myhotqueue={'queue': 'myqueue'})
def send_message(value, myqueue):
    """ This will put an item in the queue hotqueue:myqueue.
    """
    return myqueue.put(value)


@app.get('/get/', myhotqueue={'queue': 'myqueue'})
def get_message(myqueue):
    """ We will now try to get a item from hotqueue:myqueue.
        if the queue is empty, we instead raise a 404.
    """
    result = myqueue.get()
    if not result:
        raise bottle.HTTPError(404, "Queue is Empty")
    return result

bottle.run(app, host='', port=8080)

The plugin will use json (or simplejson if available) as the standard serializer. This behaviour can be reverted to match the default implementation by passing asjson=False when instantiating the plugin. It will then conform to the standard HotQueue way of serializing objects by using pickle (or cpickle if available).

hotqueue = Plugin(keyword="myhotqueue", asjson=False)

Writing a simple consumer

import json
from hotqueue import HotQueue


queue = HotQueue("myqueue", host="localhost", serializer=json)

for item in queue.consume():
    print item

More on HotQueue: http://richardhenry.github.com/hotqueue/

License

MIT

Github links
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