def add_questions(exercise_node, question_list):
EXPECTED_QUESTION_TYPES = [
INPUT_QUESTION, MULTIPLE_SELECTION, SINGLE_SELECTION, FREE_RESPONSE,
PERSEUS_QUESTION
]
for q in question_list:
question_type = q.get('question_type')
if question_type not in EXPECTED_QUESTION_TYPES:
LOGGER.critical(question_type)
raise NotImplementedError(
'Unexpected question type found in channel json.')
question_text = q.get('question')
hints = q.get('hints')
hints = hints if isinstance(hints,
str) else [hint for hint in hints or []]
if question_type == exercises.MULTIPLE_SELECTION:
q_obj = questions.MultipleSelectQuestion(
id=q['id'],
question=question_text,
correct_answers=[answer for answer in q['correct_answers']],
all_answers=[answer for answer in q['all_answers']],
hints=hints,
)
exercise_node.add_question(q_obj)
elif question_type == exercises.SINGLE_SELECTION:
q_obj = questions.SingleSelectQuestion(
id=q['id'],
question=question_text,
correct_answer=q['correct_answer'],
all_answers=[answer for answer in q['all_answers']],
hints=hints,
)
exercise_node.add_question(q_obj)
elif question_type == exercises.INPUT_QUESTION:
q_obj = questions.InputQuestion(
id=q['id'],
question=question_text,
answers=[answer for answer in q['answers']],
hints=hints,
)
exercise_node.add_question(q_obj)
elif question_type == exercises.PERSEUS_QUESTION:
q_obj = questions.PerseusQuestion(
id=q['id'],
raw_data=q.get('item_data'),
source_url="https://www.khanacademy.org/",
)
exercise_node.add_question(q_obj)
else:
raise UnknownQuestionTypeError(
"Unrecognized question type '{0}': accepted types are {1}".
format(question_type,
[key for key, value in exercises.question_choices]))
def create_question(raw_question):
question = parse_images(raw_question.get('question'))
hints = raw_question.get('hints')
hints = parse_images(hints) if isinstance(
hints, str) else [parse_images(hint) for hint in hints or []]
if raw_question["type"] == exercises.MULTIPLE_SELECTION:
return questions.MultipleSelectQuestion(
id=raw_question["id"],
question=question,
correct_answers=[
parse_images(answer)
for answer in raw_question['correct_answers']
],
all_answers=[
parse_images(answer) for answer in raw_question['all_answers']
],
hints=hints,
)
if raw_question["type"] == exercises.SINGLE_SELECTION:
return questions.SingleSelectQuestion(
id=raw_question["id"],
question=question,
correct_answer=parse_images(raw_question['correct_answer']),
all_answers=[
parse_images(answer) for answer in raw_question['all_answers']
],
hints=hints,
)
if raw_question["type"] == exercises.INPUT_QUESTION:
return questions.InputQuestion(
id=raw_question["id"],
question=question,
answers=[
parse_images(answer) for answer in raw_question['answers']
],
hints=hints,
)
if raw_question["type"] == exercises.PERSEUS_QUESTION:
return questions.PerseusQuestion(
id=raw_question["id"],
raw_data=parse_images(raw_question.get('item_data')),
source_url="https://www.google.com/",
)
else:
raise UnknownQuestionTypeError(
"Unrecognized question type '{0}': accepted types are {1}".format(
raw_question["type"],
[key for key, value in exercises.question_choices]))