def generate_answers_distribution_report(_entry_id, course_descriptor, _task_input, action_name):
""" Main task to generate answers distribution as csv.
Csv structure will be as follow:
'id', 'gender', 'year_of_birth', 'level_of_education', q1, , q2
15, f , 1989 , m , choice 1 , choice 2
Args:
_entry_id (str): Instructor task id (not used).
course_descriptor (CourseDescriptor)
_task_input (dict): Task input paprameters.
E.g. : {'problem_id' : '42',
'running_report_name' : u"fun_course_quizz-04-05-153143.csv"}
action_name (str) : Instructor task action name (not used).
Returns:
The progress state of the task (TaskProgress)
"""
task_progress = TaskProgress(action_name, 1, time())
task_progress.update_task_state()
store = modulestore()
problem = fetch_problem(store, course_descriptor, _task_input['problem_id'])
problem_size = get_problem_size(problem)
header_row = create_header_row(problem_size)
data_rows = fetch_student_answers(problem, problem_size)
ancestors_row = fetch_ancestors_names(store, problem.location)
path = get_path(_task_input['running_report_name'], problem.location)
write_csv(header_row, data_rows, ancestors_row, path)
return task_progress.update_task_state({'succeeded': 1})
def generate_answers_distribution_report(_entry_id, course_descriptor,
_task_input, action_name):
""" Main task to generate answers distribution as csv.
Csv structure will be as follow:
'id', 'gender', 'year_of_birth', 'level_of_education', q1, , q2
15, f , 1989 , m , choice 1 , choice 2
Args:
_entry_id (str): Instructor task id (not used).
course_descriptor (CourseDescriptor)
_task_input (dict): Task input paprameters.
E.g. : {'problem_id' : '42',
'running_report_name' : u"fun_course_quizz-04-05-153143.csv"}
action_name (str) : Instructor task action name (not used).
Returns:
The progress state of the task (TaskProgress)
"""
task_progress = TaskProgress(action_name, 1, time())
task_progress.update_task_state()
store = modulestore()
problem = fetch_problem(store, course_descriptor,
_task_input['problem_id'])
problem_size = get_problem_size(problem)
header_row = create_header_row(problem_size)
data_rows = fetch_student_answers(problem, problem_size)
ancestors_row = fetch_ancestors_names(store, problem.location)
path = get_path(_task_input['running_report_name'], problem.location)
write_csv(header_row, data_rows, ancestors_row, path)
return task_progress.update_task_state({'succeeded': 1})
def test_get_problem_size(self):
self.problem_module.data = RF.MultipleChoiceResponseXMLFactory().build_xml()
size = utils.get_problem_size(self.problem_module)
self.assertEqual(size, 1)
def test_get_problem_size(self):
self.problem_module.data = RF.MultipleChoiceResponseXMLFactory(
).build_xml()
size = utils.get_problem_size(self.problem_module)
self.assertEqual(size, 1)
