def get_question():
return SingleSelectQuestion(
id="ejemplo_Q{}".format(n),
question=question,
all_answers=answers,
correct_answer=correct,
)
def add_a_single_select_question(self, question, description, practice_id):
all_answers = []
for choice in question["options"]:
if choice.get("text"):
all_answers.append(choice["text"].replace("<p>", "").replace(
"</p>", ""))
else:
all_answers.append("{value} {unit}".format(
value=choice["value"], unit=question["unit"]))
question_node = SingleSelectQuestion(
id="{}-question".format(practice_id),
question=description,
correct_answer=all_answers[int(question["correctOption"])],
all_answers=all_answers)
return question_node
def add_multiple_single_select_questions(self, questions, description,
practice_id):
result = []
for question in questions:
source_id = "{practice}-question-{q_index}".format(
practice=practice_id, q_index=question["id"])
all_answers = [
(choice.get("answer")
or choice.get("text")).replace("<p>", "").replace("</p>", "")
for choice in question["options"]
]
question_text = description + "\n" + question["text"]
question_node = SingleSelectQuestion(
id=source_id,
question=question_text,
correct_answer=all_answers[int(question["correctOption"])],
all_answers=all_answers)
result.append(question_node)
return result
def create_question(raw_question):
if raw_question["type"] == exercises.MULTIPLE_SELECTION:
return MultipleSelectQuestion(
id=raw_question["id"],
question=raw_question["question"],
correct_answers=raw_question["correct_answers"],
all_answers=raw_question["all_answers"],
hints=raw_question.get("hints"),
)
if raw_question["type"] == exercises.SINGLE_SELECTION:
return SingleSelectQuestion(
id=raw_question["id"],
question=raw_question["question"],
correct_answer=raw_question["correct_answer"],
all_answers=raw_question["all_answers"],
hints=raw_question.get("hints"),
)
if raw_question["type"] == exercises.INPUT_QUESTION:
return InputQuestion(
id=raw_question["id"],
question=raw_question["question"],
answers=raw_question["answers"],
hints=raw_question.get("hints"),
)
if raw_question["type"] == exercises.FREE_RESPONSE:
return FreeResponseQuestion(
id=raw_question["id"],
question=raw_question["question"],
hints=raw_question.get("hints"),
)
if raw_question["type"] == exercises.PERSEUS_QUESTION:
return PerseusQuestion(
id=raw_question["id"],
raw_data=raw_question["item_data"],
)
else:
raise UnknownQuestionTypeError(
"Unrecognized question type '{0}': accepted types are {1}".format(
raw_question["type"],
[key for key, value in exercises.question_choices]))
def create_question(self, question_data):
question_arr = []
for id, question_metadata in question_data:
if question_metadata["question"] is None:
question_text = question_metadata["question_image"]
else:
question_text = question_metadata[
"question"] if question_metadata[
"question_image"] == None else question_metadata[
"question"] + " " + question_metadata[
"question_image"]
question = SingleSelectQuestion(
id=id,
question=question_text,
correct_answer=question_metadata["correct_answer"],
all_answers=question_metadata["all_answers"],
hints=[])
question_arr.append(question)
return question_arr
def exercise_question():
return SingleSelectQuestion("question_1", "Question", "Answer", ["Answer"])
def create_exercise_nodes(self, channel):
"""
This function adds a few exercise nodes to the channel content tree.
TODO: handle exercises with embedded image links + base64 encoded data.
"""
# EXERCISES
exercices_folder = TopicNode(
source_id='uniqid011',
title='Exercise Nodes',
description='Put folder description here',
author=None,
language=getlang('en').id,
thumbnail=None,
)
channel.add_child(exercices_folder)
exercise1 = ExerciseNode(
source_id='uniqid012',
title='Basic questions',
author='LE content team',
description=
'Showcase of the simple exercises supported by Ricecooker and Studio',
language=getlang('en').id,
license=get_license(licenses.CC_BY,
copyright_holder='Copyright holder name'),
thumbnail=None,
exercise_data={
'mastery_model': exercises.M_OF_N, # or exercises.DO_ALL
'randomize': True,
'm': 2,
'n': 3,
},
questions=[
MultipleSelectQuestion(
id='ex2aQ1',
question=
"Which numbers are even?\n\nTest local image include: ",
correct_answers=[
"2",
"4",
],
all_answers=["1", "2", "3", "4", "5"],
hints=[
"There are two answers.",
"Both answers are multiples of two."
]),
SingleSelectQuestion(
id='ex2aQ2',
question="What is 2 times 3?",
correct_answer="6",
all_answers=["2", "3", "5", "6"],
),
InputQuestion(
id='ex2aQ3',
question="Name a factor of 10.",
answers=["1", "2", "5", "10"],
)
])
exercices_folder.add_child(exercise1)
# LOAD JSON DATA (as string) FOR PERSEUS QUESTIONS
SAMPLE_PERSEUS_4_JSON = open(
'./content/ricecooker-channel-files/perseus_graph_question.json',
'r').read()
exercise2 = ExerciseNode(
source_id='baszzzs1',
title='Perseus questions',
author='LE content team',
description='An example exercise with Persus questions',
language=getlang('en').id,
license=get_license(licenses.CC_BY,
copyright_holder='Copyright holder name'),
thumbnail=None,
exercise_data={
'mastery_model': exercises.M_OF_N, # or exercises.DO_ALL
'randomize': True,
'm': 1,
'n': 1,
},
questions=[
PerseusQuestion(
id='ex2bQ4',
raw_data=SAMPLE_PERSEUS_4_JSON,
source_url=
'https://github.com/learningequality/sample-channels/blob/master/contentnodes/exercise/sample_perseus04.json'
),
])
exercices_folder.add_child(exercise2)
def create_exercise_nodes(self, channel):
"""
This function adds a few exercise nodes to the channel content tree.
TODO: handle exercises with embedded image links + base64 encoded data.
"""
# EXERCISES
exercices_folder = TopicNode(
source_id='mdmdmai3i13',
title='Exercise Nodes',
description='Put folder description here',
author=None,
language=getlang('en').id,
thumbnail=None,
)
channel.add_child(exercices_folder)
exercise2a = ExerciseNode(
source_id='asisis9',
title='Basic questions',
author='LE content team',
description=
'Showcase of the simple exercises supported by Ricecooker and Studio',
language=getlang('en').id,
license=get_license(licenses.CC_BY,
copyright_holder='Copyright holder name'),
thumbnail=None,
exercise_data={
'mastery_model': exercises.M_OF_N, # or exercises.DO_ALL
'randomize': True,
'm': 2,
'n': 3,
},
questions=[
MultipleSelectQuestion(
id='ex2aQ1',
question="Which numbers are even?",
correct_answers=[
"2",
"4",
],
all_answers=["1", "2", "3", "4", "5"],
# hints?
),
SingleSelectQuestion(
id='ex2aQ2',
question="What is 2 times 3?",
correct_answer="6",
all_answers=["2", "3", "5", "6"],
# hints?
),
InputQuestion(
id='ex2aQ3',
question="Name a factor of 10.",
answers=["1", "2", "5", "10"],
# hints?
)
])
exercices_folder.add_child(exercise2a)
# LOAD JSON DATA (as string) FOR PERSEUS QUESTIONS
SAMPLE_PERSEUS_4_JSON = open(
'./content/ricecooker-channel-files/sample_perseus04.json',
'r').read()
exercise2b = ExerciseNode(
source_id='baszzzs1',
title='Perseus questions',
author='LE content team',
description='An example exercise with Persus questions',
language=getlang('en').id,
license=get_license(licenses.CC_BY,
copyright_holder='Copyright holder name'),
thumbnail=None,
exercise_data={
'mastery_model': exercises.M_OF_N, # or exercises.DO_ALL
'randomize': True,
'm': 2,
'n': 3,
},
questions=[
PerseusQuestion(
id='ex2bQ4',
raw_data=SAMPLE_PERSEUS_4_JSON,
source_url=
'https://github.com/learningequality/sample-channels/blob/master/contentnodes/exercise/sample_perseus04.json'
),
])
exercices_folder.add_child(exercise2b)
SAMPLE_PERSEUS_4_dhanam4_JSON = open(
'./content/ricecooker-channel-files/sample_perseus04dhanam4.json',
'r').read()
exercise2b_dhanam4 = ExerciseNode(
source_id='test_dhanam4',
title='Perseus question by dhanam4',
author='dhanam4',
description='dhanam4\'s example exercise with Persus questions',
language=getlang('en').id,
license=get_license(licenses.CC_BY, copyright_holder='dhanam4'),
thumbnail=None,
exercise_data={
'mastery_model': exercises.M_OF_N, # or exercises.DO_ALL
'randomize': True,
'm': 2,
'n': 3,
},
questions=[
PerseusQuestion(
id='test_ex2bQ4dhanam4',
raw_data=SAMPLE_PERSEUS_4_dhanam4_JSON,
source_url=
'doesnt matter what goes here.. used for information purposes only'
),
])
exercices_folder.add_child(exercise2b_dhanam4)