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A robust and versatile throttling implementation relying on the token bucket algorithm.

Project description

throttle
========

The throttle library provides a robust and versatile throttling mechanism for Python.

It can be used in multiple environments, from a single thread to a distributed
server cluster.


It supports Python versions 2.6 to 3.3.


Usage
-----

In order to perform throttling tasks, simply use the :meth:`~throttle.throttle`
function:

.. code-block:: python

import throttle

def some_fun(uid):
if not throttle.check(key=uid, rate=30, size=10):
raise ThrottleError()
# Do the job


Algorithm
---------

throttle uses the "token bucket" algorithm: for each key, a virtual bucket
exists.

Whenever a new request gets in, the algorithm performs the following actions:

- Test if adding the request's cost to the bucket would exceed its capacity;
in that case, return False
- Otherwise, add the request's cost to the bucket, and return True

Simultaneously, the bucket's current value is decremented at the chosen rate.


This allows for temporary bursts and average computations.


Installing
----------

From pip (https://pypi.python.org/pypi/throttle):

.. code-block:: sh

$ pip install throttle


From Github:

.. code-block:: sh

$ git clone git://github.com/rbarrois/throttle.git

Project details


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