def generate_question_tuple(ctfile, globalErrors=(), func=flag_rst_images):
'''yields (ID, concepts, title, question, answer, error1, error2...)
tuples with text conversion by func'''
tree = parse.process_select(ctfile)
questions = get_questions(tree)
for q in questions.children:
yield question_tuple(q, globalErrors, func)
def export_selected_orct(selectfile, globalErrors=()):
'export JSON for ORCT in a lecture'
tree = parse.process_select(selectfile)
ctstem = selectfile.split('.')[0]
outfile = ctstem + '.json'
print 'writing', outfile
data = tree.list_repr(textFunc=ctprep.flag_rst_images,
postprocDict=parse.PostprocDict)
with codecs.open(outfile, 'w', encoding='utf-8') as ofile:
json.dump(data, ofile)
def make_slides_and_csv(ctfile, imagepath, title='Concept Tests',
globalErrors=()):
'produces CSV for Socraticqs to load, and RST for rst2beamer to convert'
tree = parse.process_select(ctfile)
questions = get_questions(tree)
ctstem = ctfile.split('.')[0]
print 'writing', ctstem + '.csv'
save_question_csv(questions, ctstem + '.csv', parse.PostprocDict,
imagepath, globalErrors=globalErrors)
rstout = ctstem + '_slides.rst'
print 'writing', rstout
with codecs.open(rstout, 'w', encoding='utf-8') as ofile:
ofile.write(parse.get_text(tree))
return rstout, tree
