def send_composite_outcome(user_id, course_id, assignment_id, version):
"""
Calculate and transmit the score for a composite module (such as a
vertical).
A composite module may contain multiple problems, so we need to
calculate the total points earned and possible for all child problems. This
requires calculating the scores for the whole course, which is an expensive
operation.
Callers should be aware that the score calculation code accesses the latest
scores from the database. This can lead to a race condition between a view
that updates a user's score and the calculation of the grade. If the Celery
task attempts to read the score from the database before the view exits (and
its transaction is committed), it will see a stale value. Care should be
taken that this task is not triggered until the view exits.
The GradedAssignment model has a version_number field that is incremented
whenever the score is updated. It is used by this method for two purposes.
First, it allows the task to exit if it detects that it has been superseded
by another task that will transmit the score for the same assignment.
Second, it prevents a race condition where two tasks calculate different
scores for a single assignment, and may potentially update the campus LMS
in the wrong order.
"""
assignment = GradedAssignment.objects.get(id=assignment_id)
if version != assignment.version_number:
log.info(
"Score passback for GradedAssignment %s skipped. More recent score available.",
assignment.id
)
return
course_key = CourseKey.from_string(course_id)
mapped_usage_key = assignment.usage_key.map_into_course(course_key)
user = User.objects.get(id=user_id)
course = modulestore().get_course(course_key, depth=0)
course_grade = CourseGradeFactory().read(user, course)
earned, possible = course_grade.score_for_module(mapped_usage_key)
if possible == 0:
weighted_score = 0
else:
weighted_score = float(earned) / float(possible)
assignment = GradedAssignment.objects.get(id=assignment_id)
if assignment.version_number == version:
outcomes.send_score_update(assignment, weighted_score)
def send_composite_outcome(user_id, course_id, assignment_id, version):
"""
Calculate and transmit the score for a composite module (such as a
vertical).
A composite module may contain multiple problems, so we need to
calculate the total points earned and possible for all child problems. This
requires calculating the scores for the whole course, which is an expensive
operation.
Callers should be aware that the score calculation code accesses the latest
scores from the database. This can lead to a race condition between a view
that updates a user's score and the calculation of the grade. If the Celery
task attempts to read the score from the database before the view exits (and
its transaction is committed), it will see a stale value. Care should be
taken that this task is not triggered until the view exits.
The GradedAssignment model has a version_number field that is incremented
whenever the score is updated. It is used by this method for two purposes.
First, it allows the task to exit if it detects that it has been superseded
by another task that will transmit the score for the same assignment.
Second, it prevents a race condition where two tasks calculate different
scores for a single assignment, and may potentially update the campus LMS
in the wrong order.
"""
assignment = GradedAssignment.objects.get(id=assignment_id)
if version != assignment.version_number:
log.info(
"Score passback for GradedAssignment %s skipped. More recent score available.",
assignment.id)
return
course_key = CourseKey.from_string(course_id)
mapped_usage_key = assignment.usage_key.map_into_course(course_key)
user = User.objects.get(id=user_id)
course = modulestore().get_course(course_key, depth=0)
course_grade = CourseGradeFactory().create(user, course)
earned, possible = course_grade.score_for_module(mapped_usage_key)
if possible == 0:
weighted_score = 0
else:
weighted_score = float(earned) / float(possible)
assignment = GradedAssignment.objects.get(id=assignment_id)
if assignment.version_number == version:
outcomes.send_score_update(assignment, weighted_score)
def get_user_grades(user_id, course_str):
"""
Get a single user's grades for course.
"""
user = USER_MODEL.objects.get(id=user_id)
course_key = CourseKey.from_string(str(course_str))
course = courses.get_course(course_key)
course_grade = CourseGradeFactory().update(user, course)
course_structure = get_course_in_cache(course.id)
courseware_summary = course_grade.chapter_grades.values()
grade_summary = course_grade.summary
grades_schema = {}
courseware_summary = course_grade.chapter_grades.items()
chapter_schema = {}
for key, chapter in courseware_summary:
subsection_schema = {}
for section in chapter['sections']:
section_children = course_structure.get_children(section.location)
verticals = course_structure.get_children(section.location)
vertical_schema = {}
for vertical_key in verticals:
sections_scores = {}
problem_keys = course_structure.get_children(vertical_key)
for problem_key in problem_keys:
if problem_key in section.problem_scores:
problem_score = section.problem_scores[problem_key]
xblock_content_url = reverse(
'courseware.views.views.render_xblock',
kwargs={'usage_key_string': unicode(problem_key)},
)
xblock_structure_url = generate_xblock_structure_url(
course_str, problem_key, user)
sections_scores[str(problem_key)] = {
"date":
problem_score.first_attempted
if problem_score.first_attempted is not None else
"Not attempted",
"earned":
problem_score.earned,
"possible":
problem_score.possible,
"xblock_content_url":
"{}{}".format(settings.LMS_ROOT_URL,
xblock_content_url),
"xblock_structure_url":
"{}{}".format(settings.LMS_ROOT_URL,
xblock_structure_url)
}
else:
sections_scores[str(
problem_key)] = "This block has no grades"
vertical_structure_url = generate_xblock_structure_url(
course_str, vertical_key, user)
vertical_schema[str(vertical_key)] = {
'problem_blocks': sections_scores,
"vertical_structure_url": vertical_structure_url
}
subsection_structure_url = generate_xblock_structure_url(
course_str, section.location, user)
subsection_schema[str(section.location)] = {
"verticals": vertical_schema,
"section_score":
course_grade.score_for_module(section.location),
"subsection_structure_url": subsection_structure_url
}
chapter_structure_url = generate_xblock_structure_url(
course_str, key, user)
chapter_schema[str(key)] = {
"sections": subsection_schema,
"chapter_structure_url": chapter_structure_url
}
return chapter_schema
