Atomisator is a framework so it is hard to get an idea of its features until a real application uses it.
That is why I wrote a small application in Pylons called Yap (Yet Another Planet), that is basically displaying the XML file produced by an Atomisator instance. Since Atomisator does all the work, the Pylons apps is really small (one or two controllers, that's it).
My first use case was to produce a nice, smart Planet for our user group Afpy.
Here's a first draft: http://ziade.org/afpy/
You can play with 'j', 'k' and arrows to open and close posts, but I am still working on this, so it will also scrolling the window when you are on a post.
Anyways, it grabs various French sources for Python and uses these
plugins from Atomisator:
- filter : reddit - filter : delicious - filter : doublons - enhancer : related - enhancer : digg
The result is basically following reddit and delicious links to display an extract of the page linked, and display digg comments as well. Duplicate are removed as well. A list of related entry are also added to each entry.
It is based on this configuration file, Atomisator uses to generate an
XML file for Yap in a cron:
sources = rss http://del.icio.us/rss/tag/python+fr Delicious rss http://www.afpy.org/search_rss?portal_type=AFPYNews&sort_on=Date&sort_order=reverse&review_state=published Afpy News rss http://feeds.feedburner.com/Baderlog/python Bader rss http://www.biologeek.com/journal/rss.php?cat=Python Biologeek rss http://www.gawel.org/weblog/rss/python/afpy/zope/zope3/rss.xml Gawel rss http://www.haypocalc.com/blog/rss.php?cat=Python Haypo rss http://jehaisleprintemps.net/blog/rss/ No rss http://programmation-python.org/sections/blog/exportrss Tarek rss http://api.blogmarks.net/rss/tag/python,fr Blogmarks # put here the database location database = sqlite:///afpy.db # this is the file that will be generated file = /home/tarek/www/packages/Yap/trunk/yap/public/afpy.xml # infos that will appear in the generated feed. title = Planet Python Francophone description = Le planet de l'Association Python Francophone, et des gens heureux. link = http://www.afpy.org/planet/ filters = reddit delicious doublons enhancers = related digg
What's Next ?
Since now, there were no attempt to try to automatically classify entries. The next plugin I am working on will provide a Naive Bayesian filter to classify entries, together with a way to train it through the Yap web interface. basically a 'keep'/'ditch' button.
I will also set an english Planet Python to see how things go with more sources.