Event driven concurrent framework for Python
Project description
Event driven concurrent framework for python. Tested in Windows and Linux, it requires python 2.6 and up, including python 3. With pulsar you can write asynchronous servers performing one or several activities in different threads and/or processes.
An example of a web server written with pulsar application framework which responds with “Hello World!” for every request:
from pulsar.apps import wsgi
def hello(environ, start_response):
'''Pulsar HTTP "Hello World!" application'''
data = b'Hello World!\n'
status = '200 OK'
response_headers = (
('Content-type','text/plain'),
('Content-Length', str(len(data)))
)
start_response(status, response_headers)
return [data]
if __name__ == '__main__':
return wsgi.WSGIServer(callable=hello).start()
Pulsar’s goal is to provide an easy way to build scalable network programs. In the “Hello world!” web server example above, many client connections can be handled concurrently. Pulsar tells the operating system (through epoll or select) that it should be notified when a new connection is made, and then it goes to sleep.
Pulsar uses the multiprocessing module from the standard python library and it can be configured to run in multi-processing or multi-threading mode.
Installing
Pulsar is a stand alone python library which works for python 2.6 up to python 3.3. Installing pulsar can be done via pip:
pip install pulsar
easy_install or downloading the tarball from pypi.
Applications
Pulsar design allows for a host of different applications to be implemented in an elegant and efficient way. Out of the box it is shipped with the the following
Socket servers.
WSGI server (with a JSON-RPC handler too).
A distributed task queue.
Pulsar shell for asynchronous scripting (posix only).
Asynchronous test suite.
Examples
Check out the examples directory for various working applications created using pulsar alone.
Design
Pulsar internals are based on actors primitive. Actors are the atoms of pulsar’s concurrent computation, they do not share state between them, communication is achieved via asynchronous inter-process message passing, implemented using the standard python socket library.
Two special classes of actors are the Arbiter, used as a singletone, and the Monitor, a manager of several actors performing similar functions. The Arbiter runs the main eventloop and it controls the life of all actors. Monitors manage group of actors performing similar functions, You can think of them as a pool of actors.
More information about design and philosophy in the documentations.
Add-ons
Pulsar check if some additional python libraries are available, either during installation or at runtime, and uses them to add new functionalities.
setproctitle. If installed, pulsar will used to change the processes names. To install:
pip install setproctitle
psutil. If installed, a system key is available in the dictionary returned by Actor info method.
Running Tests
Pulsar test suite uses the pulsar test applications. If you are using python 2.6 you need to install unittest2. To run the tests:
python runtests.py
For options and help type:
python runtests.py -h
Kudos
Pulsar project started as a fork of gunicorn (from where the arbiter idea) and has been developed using ideas from nodejs (api design), twisted (the deferred implementation), tornado web server (the event-loop implementation), celery (the task queue application) and many other open-source efforts.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
