cybertools/scorm

===================
A generic SCORM API
===================

  ($Id$)

In order to work with the SCORM API we first need a tracking storage.

  >>> from cybertools.tracking.btree import TrackingStorage
  >>> tracks = TrackingStorage()

We can now create a ScormAPI adapter. Note that this adapter is stateless
as it is usually created anew upon each request.

  >>> from cybertools.scorm.base import ScormAPI
  >>> api = ScormAPI(tracks, 'a001', 0, 'user1')

The first step is always the initialize() call - though in our case it
does not do anything.

  >>> api.initialize()
  '0'

Then we can set some values.

  >>> rc = api.setValue('cmi.interactions.0.id', 'q007')
  >>> rc = api.setValue('cmi.interactions.0.result', 'correct')
  >>> rc = api.setValue('cmi.comments_from_learner', 'Hello SCORM')
  >>> rc = api.setValue('cmi.interactions.1.id', 'q009')
  >>> rc = api.setValue('cmi.interactions.1.result', 'incorrect')

Depending on the data elements the values entered are kept together in
one track or stored in separate track objects. So there is a separate
track for each interaction and one track for all the other elements.

  >>> for t in sorted(tracks.values(), key=lambda x: x.timeStamp):
  ...     print t.data
  {'id': 'q007', 'key_prefix': 'cmi.interactions.0', 'result': 'correct'}
  {'cmi.comments_from_learner': 'Hello SCORM', 'key_prefix': ''}
  {'id': 'q009', 'key_prefix': 'cmi.interactions.1', 'result': 'incorrect'}