create a virtualenv, activate it, and install requirements in it:
pip install -r requirements.txt
overview
========
data directory
==============
has some canned data snapshots, so far
search.py
=========
does the search, pulling fetching sets of 4 results, and
working around google's throttling.
Output goes into data.txt
TODO: Replace with a real screen scraper, since the API limits to
64 results
- BeautifulSoup
- lxml
- Scrapy
select.py
=========
parses the repo names out of data.txt and fetches the data on each
repo from github.
Result goes into a dict, which is pickled into pickled.pic
TODO: put the results in a hierarchy, respecting forks
upload.py
=========
TODO: start this, based on some google spreadsheet code I have
show.py
=======
Simply shows what's in the pickle file produced by select.py
gather.py
=========
gathers items into a tree and does some rudimentary scoring.
Takes input from the pickle file, at the moment.
TODO
====
get the 8.5k django search data.
put results to google docs
Resources
=========
Readthedocs.org API - http://read-the-docs.readthedocs.org/en/latest/index.html#developer-documentation
PyPi API - ask Richard Jones if we want a dump of the entire PyPi database. http://wiki.python.org/moin/CheeseShopDev
Github API - http://developer.github.com/