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data-hack-day
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资源说明：Social media data visualisation for Occupy Data Hackathon March 2012
data-hack-day README
==============================

Carl van Tonder 

Overview
----------------------------------

``data-hack-day`` is a `Django`_ application\ [#resuable]_ to visualise social
media data, started during the `OccupyData Hackfest NYC`_, March 23-24 2012.
It currently handles YouTube videos (using the `python-gdata YouTube API`_\ ),
and online news articles (RSS, CSV or manual entry), and draws a timeline using
`d3.js`_.

Installing
----------------------------------

Install on GNU/Linux using::

  git clone https://github.com/supervacuo/data-hack-day.git data-hack-day
  cd data-hack-day
  pip install -r reqirements.txt
  cp youtubeparty/local_settings.py{.example,}
  python manage.py syncdb
  python manage.py migrate
  python manage.py runserver

Features
----------------------------------

* Automatically import some metadata from YouTube videos and their comments by
  pasting in the video ID, thanks to the `python-gdata YouTube API`_.
* Create "Media objects" corresponding to online news stories, either by manual
  entry, CSV upload or RSS parsing (*e.g.* for use with Google Alerts)
* Manage (edit and delete) "Media objects".
* Bugs and incompleteness (see below)

To-do
----------------------------------

* Find a better name for the project (the main instance is likely to be called
  "Media Lineage"; see our
  `unfortunately-not-buzzwordy-enough-and-thus-unsuccessful-funding-proposal`_).
* Navigation controls on visualisation.
* Use beeswarm plots for responses.
* Work out some kind of bundling / packing layout for the overall visualisation.
* Bulk add interface for YouTube, Twitter, *etc.*
* Use Topsy.com API more cleverly; deal with paginated responses and large
  result sets.
* Implement proper user profile and registration system.
* Date picker widget (tried; failed due to `Django bug`_).
* CSV upload error handling and documentation (or just drop this for the alpha
  version)
* Non-stupid tree implementation using `django-mptt`_.
* More tests.
* Clean up code, complete transition to class-based views, implement
  `django-guardian`_ carefully in all relevant views.
* *etc.* *etc.*
* Fix known bugs (see below).

Bugs
----------------------------------

Oh yes there are.

* No security system to speak of. (Don't deploy this on the open internet. I
  didn't...)
* Rendering strangeness. I still haven't completely got the hang of Twitter's
  `bootstrap`_ framework, so some things look slightly off.

Licence
----------------------------------

`AGPL`_

Contributing
----------------------------------

HELP!

All patches, ideas gratefully accepted. Fork me (above), Github issues (also
above) or e-mail (above; slightly lower down), please.

.. [#resuable] It's not reusable yet, sorry...

.. _Django: http://djangoproject.com
.. _python-gdata YouTube API: https://developers.google.com/youtube/1.0/developers_guide_python
.. _unfortunately-not-buzzwordy-enough-and-thus-unsuccessful-funding-proposal: http://bit.ly/KRxOGM
.. _OccupyData Hackfest NYC: http://occupydatanyc.wordpress.com/
.. _d3.js: http://mbostock.github.com/d3/
.. _django-mptt: https://github.com/django-mptt/django-mptt
.. _django-guardian: https://github.com/lukaszb/django-guardian
.. _bootstrap: http://twitter.github.com/bootstrap/
.. _Django bug: https://code.djangoproject.com/ticket/17981
.. _AGPL: http://www.gnu.org/licenses/agpl.html

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