def generate(request, course_id, problem_id):
""" Submit 'generate_answers_distribution_report' task to celery.
Args:
course_id (str): The course id as string.
problem_id (str): The problem id as string.
Return:
Redirect to Report Manager dashboard.
"""
store = modulestore()
course_key = get_course_key(course_id)
problem = fetch_problem(store, course_key, problem_id)
running_report_name = build_answers_distribution_report_name(problem)
input_args = {'problem_id' : problem_id,
'running_report_name' : running_report_name}
try:
submit_generate_answers_distribution_report(request, course_key, input_args)
return redirect('course-dashboard:reports-manager:dashboard', course_id)
except AlreadyRunningError:
messages.warning(request, _("A report on answers distribution is already running"))
return redirect('course-dashboard:reports-manager:dashboard', course_id)
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 generate(request, course_id, problem_id):
""" Submit 'generate_answers_distribution_report' task to celery.
Args:
course_id (str): The course id as string.
problem_id (str): The problem id as string.
Return:
Redirect to Report Manager dashboard.
"""
store = modulestore()
course_key = get_course_key(course_id)
problem = fetch_problem(store, course_key, problem_id)
running_report_name = build_answers_distribution_report_name(problem)
input_args = {
'problem_id': problem_id,
'running_report_name': running_report_name
}
try:
submit_generate_answers_distribution_report(request, course_key,
input_args)
return redirect('course-dashboard:reports-manager:dashboard',
course_id)
except AlreadyRunningError:
messages.warning(
request, _("A report on answers distribution is already running"))
return redirect('course-dashboard:reports-manager:dashboard',
course_id)
def test_fetch_problem_with_id(self):
problem_id = 'problem1'
ItemFactory(parent=self.course,
category='problem',
display_name=problem_id)
problem = utils.fetch_problem(self.store,
self.course.id,
problem_id=problem_id)
self.assertTrue(problem, isinstance(problem, CapaDescriptor))
def get_stats(request, course_id, problem_id):
""" et stats for a single problem (LoncapaProblem).
The problem id is passed has a GET paramater with 'problem_id' key.
Args:
course_id (str): The course id as string.
"""
start_time = time.time()
store = modulestore()
course_key = CourseKey.from_string(course_id)
problem = utils.fetch_problem(store, course_key, problem_id)
problem_monitor = ProblemMonitor(problem)
problem_monitor.get_student_answers()
tracker.emit("course_dashboard.problem_stats.views.get_stats",
{'task-time' : time.time() - start_time})
return HttpResponse(problem_monitor.get_html())
def get_stats(request, course_id, problem_id):
""" et stats for a single problem (LoncapaProblem).
The problem id is passed has a GET paramater with 'problem_id' key.
Args:
course_id (str): The course id as string.
"""
start_time = time.time()
store = modulestore()
course_key = CourseKey.from_string(course_id)
try:
problem = utils.fetch_problem(store, course_key, problem_id)
except ItemNotFoundError:
raise Http404()
problem_monitor = ProblemMonitor(problem)
problem_monitor.get_student_answers()
tracker.emit("course_dashboard.problem_stats.views.get_stats",
{'task-time': time.time() - start_time})
return HttpResponse(problem_monitor.get_html())
def test_fetch_problem_with_id(self):
problem_id = 'problem1'
ItemFactory(parent=self.course, category='problem', display_name=problem_id)
problem = utils.fetch_problem(self.store, self.course.id, problem_id=problem_id)
self.assertTrue(problem, isinstance(problem, CapaDescriptor))
