def exercise(exercise_question, exercise_data, channel):
args_data = get_content_node_args(exercise_data)
contentnode_kwargs = get_content_node_kwargs(exercise_data)
del contentnode_kwargs['extra_fields']
mastery_model_dict = contentnode_kwargs['exercise_data']
exercise = ExerciseNode(*args_data, **contentnode_kwargs)
exercise.add_question(exercise_question)
channel.add_child(exercise)
exercise_data['questions'] = [exercise_question]
exercise_data['extra_fields'] = mastery_model_dict
del exercise_data['exercise_data']
return exercise
def get_file(name, directory, filename, title=None):
filepath = os.path.join(directory, filename)
if title is None:
title = name
source_id = "{}/{}".format(name, filename)
node = None
if filename.endswith(".pdf"):
node = DocumentNode(
title=title,
description="Documentación de {}".format(name),
source_id=source_id,
license=AIEP_License,
language="es",
files=[DocumentFile(
path=filepath,
language="es",
)],
)
elif filename.endswith("h5p"):
mp4_file = get_video_from_h5p(filepath)
if mp4_file is None:
classNode = H5PAppNode
classFile = H5PFile
else:
classNode = VideoNode
classFile = VideoFile
filepath = mp4_file
node = classNode(
title=get_title_from_video(title, filename),
description="Vídeo explicativo de la {}".format(name),
source_id=source_id,
license=AIEP_License,
language="es",
files=[classFile(
path=filepath,
language="es",
)],
)
elif filename.endswith("xls"):
node = ExerciseNode(
source_id=source_id,
title="Ejercicios de {}".format(name),
author="Equipo de AIEP",
description="Preguntas de la unidad 1",
language="es",
license=AIEP_License,
thumbnail=None,
exercise_data={
"mastery_model": exercises.M_OF_N, # \
"m": 2, # learners must get 2/3 questions correct to complete
"n": 3, # /
"randomize": True, # show questions in random order
},
questions=leer_preguntas(filepath),
)
return node
def create_node(node, assessment_dict, subtitle_path, vtt_videos, base_path,
lite_version, lang_code):
kind = node.get('kind')
# Exercise node creation
if kind == 'Exercise':
child_node = ExerciseNode(
source_id=node['id'],
title=node['title'],
exercise_data={
'mastery_model': node.get('suggested_completion_criteria')
},
description='' if node.get("description") is None else node.get(
"description", '')[:400],
license=licenses.ALL_RIGHTS_RESERVED,
thumbnail=node.get('image_url_256'),
)
# build exercise urls for previews
full_path = base_path + node.get('path').strip('khan')
slug = full_path.split('/')[-2]
full_path = full_path.replace(slug, 'e') + slug
# attach Perseus questions to Exercises
for item in node['all_assessment_items']:
# we replace all references to assessment images with the local file path to the image
for match in re.finditer(FILE_URL_REGEX,
assessment_dict[item['id']]["item_data"]):
file_path = str(match.group(0)).replace('\\', '')
file_path = file_path.replace(REPLACE_STRING,
IMAGE_DL_LOCATION)
assessment_dict[item['id']]["item_data"] = re.sub(
FILE_URL_REGEX, file_path,
assessment_dict[item['id']]["item_data"], 1)
question = PerseusQuestion(
id=item['id'],
raw_data=assessment_dict[item['id']]['item_data'],
source_url=full_path if not lite_version else None,
)
child_node.add_question(question)
# Topic node creation
elif kind == 'Topic':
child_node = TopicNode(
source_id=node["id"],
title=node["title"],
description='' if node.get("description") is None else node.get(
"description", '')[:400])
# Video node creation
elif kind == 'Video':
# standard download url for KA videos
download_url = "https://cdn.kastatic.org/KA-youtube-converted/{0}.mp4/{1}.mp4".format(
node['youtube_id'], node['youtube_id'])
files = [VideoFile(download_url)]
if node['youtube_id'] in vtt_videos:
files.append(
SubtitleFile(subtitle_path +
'/{}.vtt'.format(node['youtube_id']),
language=getlang(lang_code)))
child_node = VideoNode(
source_id=node["id"],
title=node["title"],
description='' if node.get("description") is None else node.get(
"description", '')[:400],
files=files,
thumbnail=node.get('image_url'),
license=licenses.CC_BY_NC_SA)
else: # unknown content file format
return None
return child_node
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 add_lesson_practice(self, lesson, url, title, course_title,
module_title):
LOGGER.info("Adding practice for the course {}...".format(
lesson.title))
# resp = downloader.make_request(url, cookies=self.cookies).content.decode("utf-8")
file_path = "files/{}/{}/{}/{}-practice.txt".format(
course_title, module_title, lesson.title, title)
with open(file_path, "r") as resp:
page = BeautifulSoup(resp, "html.parser")
# Get the question description
question_paras = page.find(
"div", class_="activity-intro__question").find_all("p")
question_description = ""
for description in question_paras:
question_description = question_description + description.text + "\n"
# Get the practice data to parse
pattern = re.compile("window.lessonData = (.*;)")
lesson_data = json.loads(
pattern.search(page.text).group(1).replace(";", ""))
practice_data = lesson_data["activities"][0]["activity"]
practice_type = lesson_data["activities"][0]["type"]
questions_add_to_exercise = []
practice_id = "{}-practice".format(lesson.source_id)
# A multiple select question
if practice_type in [
"select-right", "switches-text", "strike-through",
"tag-cloud"
]:
questions_add_to_exercise.append(
self.add_a_multiple_select_question(
practice_data, question_description, practice_id))
# A single select question
elif practice_type in [
"swipe-selector", "twitter-draganddrop", "image-slider"
]:
questions_add_to_exercise.append(
self.add_a_single_select_question(practice_data,
question_description,
practice_id))
# Multiple single select questions
elif practice_type in ["text-drawer", "boolean-selector"]:
questions_add_to_exercise = self.add_multiple_single_select_questions(
practice_data["options"], question_description,
practice_id)
else:
LOGGER.error("Type {} hasn't been analyzed: {}".format(
practice_type, url))
return
# Create exercise node
exercise_id = "{} Practice".format(lesson.title)
exercise = ExerciseNode(
source_id=exercise_id,
title=title,
license=CC_BY_NC_SALicense(
copyright_holder="Google Garage Digital"),
language=CHANNEL_LANGUAGE,
thumbnail=None,
exercise_data={
"master_model": exercises.DO_ALL,
"randomize": False,
},
questions=questions_add_to_exercise,
)
lesson.add_child(exercise)
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)