def section_problem_grade_distrib(request, course_id, section):
"""
Creates a json with the grade distribution for the problems in the specified section.
`request` django request
`course_id` the course ID for the course interested in
`section` The zero-based index of the section for the course
Returns the format in dashboard_data.get_d3_section_grade_distrib
If this is requested multiple times quickly for the same course, it is better to call all_problem_grade_distribution
and pick out the sections of interest.
"""
data = {}
# Only instructor for this particular course can request this information
course_key = SlashSeparatedCourseKey.from_deprecated_string(course_id)
if has_instructor_access_for_class(request.user, course_key):
try:
data = dashboard_data.get_d3_section_grade_distrib(course_key, section)
except Exception as ex: # pylint: disable=broad-except
log.error('Generating metrics failed with exception: %s', ex)
data = {'error': "error"}
else:
data = {'error': "Access Denied: User does not have access to this course's data"}
return HttpResponse(json.dumps(data), content_type="application/json")
def section_problem_grade_distrib(request, course_id, section):
"""
Creates a json with the grade distribution for the problems in the specified section.
`request` django request
`course_id` the course ID for the course interested in
`section` The zero-based index of the section for the course
Returns the format in dashboard_data.get_d3_section_grade_distrib
If this is requested multiple times quickly for the same course, it is better to call all_problem_grade_distribution
and pick out the sections of interest.
"""
json = {}
# Only instructor for this particular course can request this information
if has_instructor_access_for_class(request.user, course_id):
try:
json = dashboard_data.get_d3_section_grade_distrib(
course_id, section)
except Exception as ex: # pylint: disable=broad-except
log.error('Generating metrics failed with exception: %s', ex)
json = {'error': "error"}
else:
json = {
'error':
"Access Denied: User does not have access to this course's data"
}
return HttpResponse(simplejson.dumps(json), mimetype="application/json")
def section_problem_grade_distrib(request, course_id, section, enrollment):
"""
Creates a json with the grade distribution for the problems in the specified section.
`request` django request
`course_id` the course ID for the course interested in
`section` The zero-based index of the section for the course
`enrollment` the number of students enrolled in the course
Returns the format in dashboard_data.get_d3_section_grade_distrib
If this is requested multiple times quickly for the same course, it is better to call all_problem_grade_distribution
and pick out the sections of interest.
"""
data = {}
# Only instructor for this particular course can request this information
course_key = SlashSeparatedCourseKey.from_deprecated_string(course_id)
if has_instructor_access_for_class(request.user, course_key):
try:
data = dashboard_data.get_d3_section_grade_distrib(course_key, section, int(enrollment))
except Exception as ex: # pylint: disable=broad-except
log.error('Generating metrics failed with exception: %s', ex)
data = {'error': "error"}
else:
data = {'error': "Access Denied: User does not have access to this course's data"}
return HttpResponse(json.dumps(data), content_type="application/json")
def test_get_d3_section_grade_distrib(self):
d3_data = get_d3_section_grade_distrib(self.course.id, 0)
for stack_data in d3_data:
sum_values = 0
for problem in stack_data['stackData']:
sum_values += problem['value']
self.assertEquals(USER_COUNT, sum_values)
def test_get_d3_section_grade_distrib(self):
d3_data = get_d3_section_grade_distrib(self.course.id, 0)
for stack_data in d3_data:
sum_values = 0
for problem in stack_data['stackData']:
sum_values += problem['value']
self.assertEquals(USER_COUNT, sum_values)
def test_get_d3_section_grade_distrib(self, mock_client):
mock_client.return_value.modules.return_value.grade_distribution.return_value = [
{
'grade': 1,
'max_grade': 1,
'count': USER_COUNT,
},
]
d3_data = get_d3_section_grade_distrib(self.course.id, 0, USER_COUNT)
for stack_data in d3_data:
sum_values = 0
for problem in stack_data['stackData']:
sum_values += problem['value']
self.assertEquals(USER_COUNT, sum_values)
def test_get_d3_section_grade_distrib(self, mock_client):
mock_client.return_value.modules.return_value.grade_distribution.return_value = [
{
'grade': 1,
'max_grade': 1,
'count': USER_COUNT,
},
]
d3_data = get_d3_section_grade_distrib(self.course.id, 0, USER_COUNT)
for stack_data in d3_data:
sum_values = 0
for problem in stack_data['stackData']:
sum_values += problem['value']
self.assertEquals(USER_COUNT, sum_values)
