Kolibri 0.2.0 Alpha

Asynchronous Processors/Workflow management for Django

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What's new in Kolibri 0.2.0 Alpha:

  • Support for user input. See bottom of usage description for more info.
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LICENSE TYPE:
BSD License 
USER RATING:
UNRATED
  0.0/5
DEVELOPED BY:
Thomas Weholt
HOMEPAGE:
bitbucket.org
CATEGORY:
ROOT \ Internet \ HTTP (WWW)
Kolibri is a reusable Django app for designing and executing asynchronous processes and workflows. A workflow is a collections of steps in a defined order, processing data in each step. A step can break the flow if an exception is raised and/or a specified step can be executed to handle a specific exception. Kolibri uses celery to handle processing in the background. All processors and workflows can only be started by staff members, but more fine grained access control might be implemented in future versions.

The project got started because I needed to control how I added content to a photo project I'm developing in django. The project involved lots of heavy processes like thumbnail generation and metadata processing. Adding content consists of steps that needs to be done in a specific order, and I need to control what action to take if one step throws an exception. I was using celery, but adding a new step or process was tedious and I wanted more dynamic way of defining and managing processors.

The current implementation is not stable and a proof of concept. Comments very welcome, especially on how to monitor status of celery processes and provide feedback to the user.

Installation

pip install django-kolibri

or

hg clone https://bitbucket.org/weholt/django-kolibri python setup.py install

 set STATIC_ROOT and STATIC_URL in settings.py
 add 'kolibri' to your installed apps
 add url(r'^kolibri/', include('kolibri.urls')), to your urls.py


It would be smart to read through usage.txt first for a more detailed tutorial or experiment with the working example project provided in the source, available at bitbucket.

Last updated on July 7th, 2011

feature list requirements

#asynchronous processors #workflow management #Django #asynchronous #processors #workflow

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