def get_student_info_path_and_context(self, data):
"""
Get the proper path and context for rendering the the student info
section of the staff debug panel.
"""
student_id = data.params.get('student_id', '')
submission_uuid = None
submission = None
assessment_steps = self.assessment_steps
if student_id:
student_item = self.get_student_item_dict()
student_item['student_id'] = student_id
# If there is a submission available for the requested student, present
# it. If not, there will be no other information to collect.
submissions = submission_api.get_submissions(student_item, 1)
if submissions:
submission = submissions[0]
submission_uuid = submissions[0]['uuid']
example_based_assessment = None
self_assessment = None
peer_assessments = []
submitted_assessments = []
if "peer-assessment" in assessment_steps:
peer_assessments = peer_api.get_assessments(submission_uuid)
submitted_assessments = peer_api.get_submitted_assessments(submission_uuid, scored_only=False)
if "self-assessment" in assessment_steps:
self_assessment = self_api.get_assessment(submission_uuid)
if "example-based-assessment" in assessment_steps:
example_based_assessment = ai_api.get_latest_assessment(submission_uuid)
context = {
'submission': submission,
'peer_assessments': peer_assessments,
'submitted_assessments': submitted_assessments,
'self_assessment': self_assessment,
'example_based_assessment': example_based_assessment,
'rubric_criteria': copy.deepcopy(self.rubric_criteria),
}
if peer_assessments or self_assessment or example_based_assessment:
max_scores = peer_api.get_rubric_max_scores(submission_uuid)
for criterion in context["rubric_criteria"]:
criterion["total_value"] = max_scores[criterion["name"]]
path = 'openassessmentblock/staff_debug/student_info.html'
return path, context
def get_student_info_path_and_context(self, data):
"""
Get the proper path and context for rendering the the student info
section of the staff debug panel.
"""
student_id = data.params.get('student_id', '')
submission_uuid = None
submission = None
assessment_steps = self.assessment_steps
if student_id:
student_item = self.get_student_item_dict()
student_item['student_id'] = student_id
# If there is a submission available for the requested student, present
# it. If not, there will be no other information to collect.
submissions = submission_api.get_submissions(student_item, 1)
if submissions:
submission = submissions[0]
submission_uuid = submissions[0]['uuid']
if "peer-assessment" in assessment_steps:
peer_assessments = peer_api.get_assessments(submission_uuid)
submitted_assessments = peer_api.get_submitted_assessments(submission_uuid, scored_only=False)
else:
peer_assessments = []
submitted_assessments = []
if "self-assessment" in assessment_steps:
self_assessment = self_api.get_assessment(submission_uuid)
else:
self_assessment = None
context = {
'submission': submission,
'peer_assessments': peer_assessments,
'submitted_assessments': submitted_assessments,
'self_assessment': self_assessment,
'rubric_criteria': copy.deepcopy(self.rubric_criteria),
}
if peer_assessments or self_assessment:
max_scores = peer_api.get_rubric_max_scores(submission_uuid)
for criterion in context["rubric_criteria"]:
criterion["total_value"] = max_scores[criterion["name"]]
path = 'openassessmentblock/staff_debug/student_info.html'
return path, context
def get_student_info_path_and_context(self, data):
"""
Get the proper path and context for rendering the the student info
section of the staff debug panel.
"""
student_id = data.params.get("student_id", "")
submission_uuid = None
submission = None
assessment_steps = self.assessment_steps
if student_id:
student_item = self.get_student_item_dict()
student_item["student_id"] = student_id
# If there is a submission available for the requested student, present
# it. If not, there will be no other information to collect.
submissions = submission_api.get_submissions(student_item, 1)
if submissions:
submission = submissions[0]
submission_uuid = submissions[0]["uuid"]
if "peer-assessment" in assessment_steps:
peer_assessments = peer_api.get_assessments(submission_uuid)
submitted_assessments = peer_api.get_submitted_assessments(submission_uuid, scored_only=False)
else:
peer_assessments = []
submitted_assessments = []
if "self-assessment" in assessment_steps:
self_assessment = self_api.get_assessment(submission_uuid)
else:
self_assessment = None
context = {
"submission": submission,
"peer_assessments": peer_assessments,
"submitted_assessments": submitted_assessments,
"self_assessment": self_assessment,
"rubric_criteria": copy.deepcopy(self.rubric_criteria),
}
if peer_assessments or self_assessment:
max_scores = peer_api.get_rubric_max_scores(submission_uuid)
for criterion in context["rubric_criteria"]:
criterion["total_value"] = max_scores[criterion["name"]]
path = "openassessmentblock/staff_debug/student_info.html"
return path, context
def test_get_max_scores(self):
self._create_student_and_submission("Tim", "Tim's answer")
bob_sub, bob = self._create_student_and_submission("Bob", "Bob's answer")
sub = peer_api.get_submission_to_assess(bob_sub['uuid'], 1)
assessment = peer_api.create_assessment(
bob_sub["uuid"], bob["student_id"],
ASSESSMENT_DICT['options_selected'],
ASSESSMENT_DICT['criterion_feedback'],
ASSESSMENT_DICT['overall_feedback'],
RUBRIC_DICT,
1
)
max_scores = peer_api.get_rubric_max_scores(sub["uuid"])
self.assertEqual(max_scores['secret'], 1)
self.assertEqual(max_scores['giveup'], 10)
def add_submission_context(self, submission_uuid, context):
"""
Add the submission information (self asssessment, peer assessments, final grade, etc.)
to the supplied context for display in the "learner info" portion of staff tools.
Args:
submission_uuid (unicode): The uuid of the submission, should NOT be None.
context: the context to update with additional information
"""
assessment_steps = self.assessment_steps
example_based_assessment = None
example_based_assessment_grade_context = None
self_assessment = None
self_assessment_grade_context = None
peer_assessments = None
peer_assessments_grade_context = []
staff_assessment = staff_api.get_latest_staff_assessment(submission_uuid)
staff_assessment_grade_context = None
submitted_assessments = None
grade_details = None
workflow = self.get_workflow_info(submission_uuid=submission_uuid)
grade_exists = workflow.get('status') == "done"
if "peer-assessment" in assessment_steps:
peer_assessments = peer_api.get_assessments(submission_uuid)
submitted_assessments = peer_api.get_submitted_assessments(submission_uuid)
if grade_exists:
peer_api.get_score(submission_uuid, self.workflow_requirements()["peer"])
peer_assessments_grade_context = [
self._assessment_grade_context(peer_assessment)
for peer_assessment in peer_assessments
]
if "self-assessment" in assessment_steps:
self_assessment = self_api.get_assessment(submission_uuid)
if grade_exists:
self_assessment_grade_context = self._assessment_grade_context(self_assessment)
if "example-based-assessment" in assessment_steps:
example_based_assessment = ai_api.get_latest_assessment(submission_uuid)
if grade_exists:
example_based_assessment_grade_context = self._assessment_grade_context(example_based_assessment)
if grade_exists:
if staff_assessment:
staff_assessment_grade_context = self._assessment_grade_context(staff_assessment)
grade_details = self.grade_details(
submission_uuid,
peer_assessments_grade_context,
self_assessment_grade_context,
example_based_assessment_grade_context,
staff_assessment_grade_context,
is_staff=True,
)
workflow_cancellation = self.get_workflow_cancellation_info(submission_uuid)
context.update({
'example_based_assessment': [example_based_assessment] if example_based_assessment else None,
'self_assessment': [self_assessment] if self_assessment else None,
'peer_assessments': peer_assessments,
'staff_assessment': [staff_assessment] if staff_assessment else None,
'submitted_assessments': submitted_assessments,
'grade_details': grade_details,
'score': workflow.get('score'),
'workflow_status': workflow.get('status'),
'workflow_cancellation': workflow_cancellation,
})
if peer_assessments or self_assessment or example_based_assessment or staff_assessment:
max_scores = peer_api.get_rubric_max_scores(submission_uuid)
for criterion in context["rubric_criteria"]:
criterion["total_value"] = max_scores[criterion["name"]]
def get_student_info_path_and_context(self, student_id):
"""
Get the proper path and context for rendering the the student info
section of the staff debug panel.
Args:
student_id (unicode): The ID of the student to report.
"""
submission_uuid = None
submission = None
assessment_steps = self.assessment_steps
if student_id:
student_item = self.get_student_item_dict()
student_item['student_id'] = student_id
# If there is a submission available for the requested student, present
# it. If not, there will be no other information to collect.
submissions = submission_api.get_submissions(student_item, 1)
if submissions:
submission_uuid = submissions[0]['uuid']
submission = submissions[0]
if 'file_key' in submission.get('answer', {}):
file_key = submission['answer']['file_key']
try:
submission['image_url'] = file_api.get_download_url(
file_key)
except file_api.FileUploadError:
# Log the error, but do not prevent the rest of the student info
# from being displayed.
msg = (
u"Could not retrieve image URL for staff debug page. "
u"The student ID is '{student_id}', and the file key is {file_key}"
).format(student_id=student_id, file_key=file_key)
logger.exception(msg)
example_based_assessment = None
self_assessment = None
peer_assessments = []
submitted_assessments = []
if "peer-assessment" in assessment_steps:
peer_assessments = peer_api.get_assessments(submission_uuid)
submitted_assessments = peer_api.get_submitted_assessments(
submission_uuid, scored_only=False)
if "self-assessment" in assessment_steps:
self_assessment = self_api.get_assessment(submission_uuid)
if "example-based-assessment" in assessment_steps:
example_based_assessment = ai_api.get_latest_assessment(
submission_uuid)
context = {
'submission': submission,
'peer_assessments': peer_assessments,
'submitted_assessments': submitted_assessments,
'self_assessment': self_assessment,
'example_based_assessment': example_based_assessment,
'rubric_criteria': copy.deepcopy(self.rubric_criteria_with_labels),
}
if peer_assessments or self_assessment or example_based_assessment:
max_scores = peer_api.get_rubric_max_scores(submission_uuid)
for criterion in context["rubric_criteria"]:
criterion["total_value"] = max_scores[criterion["name"]]
path = 'openassessmentblock/staff_debug/student_info.html'
return path, context
def render_grade_complete(self, workflow):
"""
Render the grade complete state.
Args:
workflow (dict): The serialized Workflow model.
Returns:
tuple of context (dict), template_path (string)
"""
# Peer specific stuff...
assessment_steps = self.assessment_steps
submission_uuid = workflow['submission_uuid']
example_based_assessment = None
self_assessment = None
feedback = None
peer_assessments = []
has_submitted_feedback = False
if "peer-assessment" in assessment_steps:
feedback = peer_api.get_assessment_feedback(submission_uuid)
peer_assessments = [
self._assessment_grade_context(asmnt)
for asmnt in peer_api.get_assessments(submission_uuid)
]
has_submitted_feedback = feedback is not None
if "self-assessment" in assessment_steps:
self_assessment = self._assessment_grade_context(
self_api.get_assessment(submission_uuid)
)
if "example-based-assessment" in assessment_steps:
example_based_assessment = self._assessment_grade_context(
ai_api.get_latest_assessment(submission_uuid)
)
feedback_text = feedback.get('feedback', '') if feedback else ''
student_submission = sub_api.get_submission(submission_uuid)
# We retrieve the score from the workflow, which in turn retrieves
# the score for our current submission UUID.
# We look up the score by submission UUID instead of student item
# to ensure that the score always matches the rubric.
# It's possible for the score to be `None` even if the workflow status is "done"
# when all the criteria in the rubric are feedback-only (no options).
score = workflow['score']
context = {
'score': score,
'feedback_text': feedback_text,
'student_submission': student_submission,
'peer_assessments': peer_assessments,
'self_assessment': self_assessment,
'example_based_assessment': example_based_assessment,
'rubric_criteria': self._rubric_criteria_grade_context(peer_assessments, self_assessment),
'has_submitted_feedback': has_submitted_feedback,
'allow_file_upload': self.allow_file_upload,
'allow_latex': self.allow_latex,
'file_url': self.get_download_url_from_submission(student_submission)
}
# Update the scores we will display to the user
# Note that we are updating a *copy* of the rubric criteria stored in
# the XBlock field
max_scores = peer_api.get_rubric_max_scores(submission_uuid)
median_scores = None
if "peer-assessment" in assessment_steps:
median_scores = peer_api.get_assessment_median_scores(submission_uuid)
elif "self-assessment" in assessment_steps:
median_scores = self_api.get_assessment_scores_by_criteria(submission_uuid)
elif "example-based-assessment" in assessment_steps:
median_scores = ai_api.get_assessment_scores_by_criteria(submission_uuid)
if median_scores is not None and max_scores is not None:
for criterion in context["rubric_criteria"]:
# Although we prevent course authors from modifying criteria post-release,
# it's still possible for assessments created by course staff to
# have criteria that differ from the current problem definition.
# It's also possible to circumvent the post-release restriction
# if course authors directly import a course into Studio.
# If this happens, we simply leave the score blank so that the grade
# section can render without error.
criterion["median_score"] = median_scores.get(criterion["name"], '')
criterion["total_value"] = max_scores.get(criterion["name"], '')
return ('openassessmentblock/grade/oa_grade_complete.html', context)
def get_student_info_path_and_context(self, student_username):
"""
Get the proper path and context for rendering the the student info
section of the staff debug panel.
Args:
student_username (unicode): The username of the student to report.
"""
submission_uuid = None
submission = None
assessment_steps = self.assessment_steps
anonymous_user_id = None
submissions = None
student_item = None
if student_username:
anonymous_user_id = self.get_anonymous_user_id(student_username, self.course_id)
student_item = self.get_student_item_dict(anonymous_user_id=anonymous_user_id)
if anonymous_user_id:
# If there is a submission available for the requested student, present
# it. If not, there will be no other information to collect.
submissions = submission_api.get_submissions(student_item, 1)
if submissions:
submission_uuid = submissions[0]['uuid']
submission = submissions[0]
if 'file_key' in submission.get('answer', {}):
file_key = submission['answer']['file_key']
try:
submission['image_url'] = file_api.get_download_url(file_key)
except file_api.FileUploadError:
# Log the error, but do not prevent the rest of the student info
# from being displayed.
msg = (
u"Could not retrieve image URL for staff debug page. "
u"The student username is '{student_username}', and the file key is {file_key}"
).format(student_username=student_username, file_key=file_key)
logger.exception(msg)
example_based_assessment = None
self_assessment = None
peer_assessments = []
submitted_assessments = []
if "peer-assessment" in assessment_steps:
peer_assessments = peer_api.get_assessments(submission_uuid)
submitted_assessments = peer_api.get_submitted_assessments(submission_uuid, scored_only=False)
if "self-assessment" in assessment_steps:
self_assessment = self_api.get_assessment(submission_uuid)
if "example-based-assessment" in assessment_steps:
example_based_assessment = ai_api.get_latest_assessment(submission_uuid)
workflow_cancellation = workflow_api.get_assessment_workflow_cancellation(submission_uuid)
if workflow_cancellation:
workflow_cancellation['cancelled_by'] = self.get_username(workflow_cancellation['cancelled_by_id'])
context = {
'submission': submission,
'workflow_cancellation': workflow_cancellation,
'peer_assessments': peer_assessments,
'submitted_assessments': submitted_assessments,
'self_assessment': self_assessment,
'example_based_assessment': example_based_assessment,
'rubric_criteria': copy.deepcopy(self.rubric_criteria_with_labels),
}
if peer_assessments or self_assessment or example_based_assessment:
max_scores = peer_api.get_rubric_max_scores(submission_uuid)
for criterion in context["rubric_criteria"]:
criterion["total_value"] = max_scores[criterion["name"]]
path = 'openassessmentblock/staff_debug/student_info.html'
return path, context
def handle(self, *args, **options):
if len(args) != 2:
raise CommandError(
"This command requires two arguments: <course_id> <username>")
course_id, username, = args
# Check args: course_id
try:
course_id = CourseLocator.from_string(course_id)
except InvalidKeyError:
raise CommandError(
"The course_id is not of the right format. It should be like 'org/course/run' or 'course-v1:org+course+run'"
)
# Find course
course_items = modulestore().get_items(
course_id, qualifiers={'category': 'course'})
if not course_items:
raise CommandError("No such course was found.")
# Find openassessment items
oa_items = modulestore().get_items(
course_id, qualifiers={'category': 'openassessment'})
if not oa_items:
raise CommandError("No openassessment item was found.")
oa_items = sorted(
oa_items,
key=lambda item: item.start or datetime(2030, 1, 1, tzinfo=UTC()))
print "Openassessment item(s):"
oa_output = PrettyTable(['#', 'Item ID', 'Title'])
oa_output.align = 'l'
for i, oa_item in enumerate(oa_items):
row = []
row.append(i)
row.append(oa_item.location)
row.append(oa_item.title)
oa_output.add_row(row)
print oa_output
while True:
try:
selected = raw_input(
"Choose an openassessment item # (empty to cancel): ")
if selected == '':
print "Cancelled."
return
selected = int(selected)
oa_item = oa_items[selected]
break
except (IndexError, ValueError):
print "WARN: Invalid number was detected. Choose again."
continue
item_location = oa_item.location
# Get student_id from username
# TODO: courseenrollment parameters can be used by only lms?
students = User.objects.filter(username=username,
is_active=True,
courseenrollment__course_id=course_id,
courseenrollment__is_active=True)
if not students:
raise CommandError("No such user was found.")
student = students[0]
anonymous_student_id = anonymous_id_for_user(student, course_id)
# Get submission from student_id, course_id and item_location
submission = get_submission(course_id, item_location,
anonymous_student_id)
# Print summary
print_summary(course_id, oa_item, anonymous_student_id)
while True:
print "[0] Show the user's submission again."
print "[1] Toggle the `scored` flag in the peer-assessment record."
print "[2] Create a new peer-assessment record to the users."
resp = raw_input("Choose an operation (empty to cancel): ")
if resp == '0':
print_summary(course_id, oa_item, anonymous_student_id)
elif resp == '1':
while True:
try:
selected_item_id = raw_input(
"Please input PeerWorkflowItem ID to toggle the `scored` flag (empty to cancel): "
)
if selected_item_id == '':
print "Cancelled."
break
selected_item_id = int(selected_item_id)
selected_item = PeerWorkflowItem.objects.filter(
id=selected_item_id,
author=submission.id,
submission_uuid=submission.submission_uuid,
assessment__isnull=False)[0]
except (IndexError, ValueError):
print "WARN: Invalid ID was detected. Input again."
continue
# Update PeerWorkflowItem (assessment_peerworkflowitem record)
selected_item.scored = not selected_item.scored
selected_item.save()
# Update Score (submissions_score record)
latest_score = get_latest_score(submission)
if latest_score is not None:
max_scores = peer_api.get_rubric_max_scores(
submission.submission_uuid)
try:
median_scores = peer_api.get_assessment_median_scores(
submission.submission_uuid)
except:
median_scores = {}
sub_api.set_score(submission.submission_uuid,
sum(median_scores.values()),
sum(max_scores.values()))
#latest_score.points_earned = sum(median_scores.values())
#latest_score.created_at = now()
#latest_score.save()
# Update status of AssessmentWorkflow (workflow_assessmentworkflow record)
get_workflow_info(submission.submission_uuid, oa_item)
# Print summary
print_summary(course_id, oa_item, anonymous_student_id)
elif resp == '2':
while True:
staff_username = raw_input(
"Please input username to be given a new peer-assessment item (empty to cancel): "
)
if staff_username == '':
print "Cancelled."
break
# TODO: courseenrollment parameters can be used by only lms?
staffs = User.objects.filter(
username=staff_username,
is_active=True,
courseenrollment__course_id=course_id,
courseenrollment__is_active=True)
if not staffs:
print "WARN: No such user was found in the course. Input again."
continue
staff = staffs[0]
anonymous_staff_id = anonymous_id_for_user(
staff, course_id)
staff_submissions = PeerWorkflow.objects.filter(
course_id=course_id,
item_id=item_location,
student_id=anonymous_staff_id)
if not staff_submissions:
print "WARN: This user hasn't posted any submission in this openassessment item yet. Input again."
continue
staff_submission = staff_submissions[0]
# Check if this user has already assessed the requested submission
items_assessed_by_staff = PeerWorkflowItem.objects.filter(
scorer=staff_submission,
author=submission,
submission_uuid=submission.submission_uuid)
if len(items_assessed_by_staff) > 0:
print "WARN: This user has already assessed the requested submission. Input again."
continue
print "Staff submission:"
print_submission(staff_submission, oa_item)
while True:
resp = raw_input("Is this right? (y/n): ")
if resp.lower() == 'y':
new_items = PeerWorkflowItem.objects.filter(
scorer_id=staff_submission.id,
assessment__isnull=True).order_by(
'-started_at')
if new_items:
# Replace the author and submission_uuid
new_item = new_items[0]
new_item.author = submission
new_item.submission_uuid = submission.submission_uuid
new_item.started_at = now()
else:
new_item = PeerWorkflowItem.objects.create(
scorer=staff_submission,
author=submission,
submission_uuid=submission.submission_uuid,
started_at=now())
new_item.save()
print "Create a new peer-assessment record to %s successfully!" % staff.username
break
elif resp.lower() == 'n':
break
else:
continue
elif resp == '':
print "Cancelled."
break
else:
print "WARN: Invalid number was detected. Choose again."
continue
def grade_details(self,
submission_uuid,
peer_assessments,
self_assessment,
staff_assessment,
is_staff=False):
"""
Returns details about the grade assigned to the submission.
Args:
submission_uuid (str): The id of the submission being graded.
peer_assessments (list of dict): Serialized assessment models from the peer API.
self_assessment (dict): Serialized assessment model from the self API
staff_assessment (dict): Serialized assessment model from the staff API
is_staff (bool): True if the grade details are being displayed to staff, else False.
Default value is False (meaning grade details are being shown to the learner).
Returns:
A dictionary with full details about the submission's grade.
Example:
{
criteria: [{
'label': 'Test name',
'name': 'f78ac7d4ca1e4134b0ba4b40ca212e72',
'prompt': 'Test prompt',
'order_num': 2,
'options': [...]
'feedback': [
'Good job!',
'Excellent work!',
]
}],
additional_feedback: [{
}]
...
}
"""
# Import is placed here to avoid model import at project startup.
from openassessment.assessment.api import peer as peer_api
from openassessment.assessment.api import self as self_api
from openassessment.assessment.api import staff as staff_api
criteria = copy.deepcopy(self.rubric_criteria_with_labels)
def has_feedback(assessments):
"""
Returns True if at least one assessment has feedback.
Args:
assessments: A list of assessments
Returns:
Returns True if at least one assessment has feedback.
"""
return any((assessment and (
assessment.get('feedback', None)
or has_feedback(assessment.get('individual_assessments', []))))
for assessment in assessments)
max_scores = peer_api.get_rubric_max_scores(submission_uuid)
median_scores = None
assessment_steps = self.assessment_steps
if staff_assessment:
median_scores = staff_api.get_assessment_scores_by_criteria(
submission_uuid)
elif "peer-assessment" in assessment_steps:
median_scores = peer_api.get_assessment_median_scores(
submission_uuid)
elif "self-assessment" in assessment_steps:
median_scores = self_api.get_assessment_scores_by_criteria(
submission_uuid)
for criterion in criteria:
criterion_name = criterion['name']
# Record assessment info for the current criterion
criterion['assessments'] = self._graded_assessments(
submission_uuid,
criterion,
assessment_steps,
staff_assessment,
peer_assessments,
self_assessment,
is_staff=is_staff,
)
# Record whether there is any feedback provided in the assessments
criterion['has_feedback'] = has_feedback(criterion['assessments'])
# Although we prevent course authors from modifying criteria post-release,
# it's still possible for assessments created by course staff to
# have criteria that differ from the current problem definition.
# It's also possible to circumvent the post-release restriction
# if course authors directly import a course into Studio.
# If this happens, we simply leave the score blank so that the grade
# section can render without error.
criterion['median_score'] = median_scores.get(criterion_name, '')
criterion['total_value'] = max_scores.get(criterion_name, '')
return {
'criteria':
criteria,
'additional_feedback':
self._additional_feedback(
staff_assessment=staff_assessment,
peer_assessments=peer_assessments,
self_assessment=self_assessment,
),
}
def render_grade_complete(self, workflow):
"""
Render the grade complete state.
Args:
workflow (dict): The serialized Workflow model.
Returns:
tuple of context (dict), template_path (string)
"""
# Peer specific stuff...
assessment_steps = self.assessment_steps
submission_uuid = workflow['submission_uuid']
if "peer-assessment" in assessment_steps:
feedback = peer_api.get_assessment_feedback(submission_uuid)
peer_assessments = peer_api.get_assessments(submission_uuid)
has_submitted_feedback = feedback is not None
else:
feedback = None
peer_assessments = []
has_submitted_feedback = False
if "self-assessment" in assessment_steps:
self_assessment = self_api.get_assessment(submission_uuid)
else:
self_assessment = None
feedback_text = feedback.get('feedback', '') if feedback else ''
student_submission = sub_api.get_submission(submission_uuid)
# We retrieve the score from the workflow, which in turn retrieves
# the score for our current submission UUID.
# We look up the score by submission UUID instead of student item
# to ensure that the score always matches the rubric.
score = workflow['score']
context = {
'score': score,
'feedback_text': feedback_text,
'student_submission': student_submission,
'peer_assessments': peer_assessments,
'self_assessment': self_assessment,
'rubric_criteria': self._rubric_criteria_with_feedback(peer_assessments),
'has_submitted_feedback': has_submitted_feedback,
}
# Update the scores we will display to the user
# Note that we are updating a *copy* of the rubric criteria stored in
# the XBlock field
max_scores = peer_api.get_rubric_max_scores(submission_uuid)
if "peer-assessment" in assessment_steps:
median_scores = peer_api.get_assessment_median_scores(submission_uuid)
elif "self-assessment" in assessment_steps:
median_scores = self_api.get_assessment_scores_by_criteria(submission_uuid)
if median_scores is not None and max_scores is not None:
for criterion in context["rubric_criteria"]:
criterion["median_score"] = median_scores[criterion["name"]]
criterion["total_value"] = max_scores[criterion["name"]]
return ('openassessmentblock/grade/oa_grade_complete.html', context)
def add_submission_context(self, submission_uuid, context):
"""
Add the submission information (self asssessment, peer assessments, final grade, etc.)
to the supplied context for display in the "learner info" portion of staff tools.
Args:
submission_uuid (unicode): The uuid of the submission, should NOT be None.
context: the context to update with additional information
"""
# Import is placed here to avoid model import at project startup.
from openassessment.assessment.api import peer as peer_api
from openassessment.assessment.api import self as self_api
from openassessment.assessment.api import staff as staff_api
assessment_steps = self.assessment_steps
self_assessment = None
self_assessment_grade_context = None
peer_assessments = None
peer_assessments_grade_context = []
staff_assessment = staff_api.get_latest_staff_assessment(submission_uuid)
staff_assessment_grade_context = None
submitted_assessments = None
grade_details = None
workflow = self.get_workflow_info(submission_uuid=submission_uuid)
grade_exists = workflow.get('status') == "done"
grade_utils = self.runtime._services.get('grade_utils')
if "peer-assessment" in assessment_steps:
peer_assessments = peer_api.get_assessments(submission_uuid)
submitted_assessments = peer_api.get_submitted_assessments(submission_uuid)
if grade_exists:
peer_api.get_score(submission_uuid, self.workflow_requirements()["peer"])
peer_assessments_grade_context = [
self._assessment_grade_context(peer_assessment)
for peer_assessment in peer_assessments
]
if "self-assessment" in assessment_steps:
self_assessment = self_api.get_assessment(submission_uuid)
if grade_exists:
self_assessment_grade_context = self._assessment_grade_context(self_assessment)
if grade_exists:
if staff_assessment:
staff_assessment_grade_context = self._assessment_grade_context(staff_assessment)
grade_details = self.grade_details(
submission_uuid,
peer_assessments_grade_context,
self_assessment_grade_context,
staff_assessment_grade_context,
is_staff=True,
)
workflow_cancellation = self.get_workflow_cancellation_info(submission_uuid)
context.update({
'self_assessment': [self_assessment] if self_assessment else None,
'peer_assessments': peer_assessments,
'staff_assessment': [staff_assessment] if staff_assessment else None,
'submitted_assessments': submitted_assessments,
'grade_details': grade_details,
'score': workflow.get('score'),
'workflow_status': workflow.get('status'),
'workflow_cancellation': workflow_cancellation,
'are_grades_frozen': grade_utils.are_grades_frozen()
})
if peer_assessments or self_assessment or staff_assessment:
max_scores = peer_api.get_rubric_max_scores(submission_uuid)
for criterion in context["rubric_criteria"]:
criterion["total_value"] = max_scores[criterion["name"]]
def test_max_score_db_error(self, mock_filter):
mock_filter.side_effect = DatabaseError("Bad things happened")
tim, _ = self._create_student_and_submission("Tim", "Tim's answer")
peer_api.get_rubric_max_scores(tim["uuid"])
def handle(self, *args, **options):
if len(args) != 2:
raise CommandError("This command requires two arguments: <course_id> <username>")
course_id, username, = args
# Check args: course_id
try:
course_id = CourseLocator.from_string(course_id)
except InvalidKeyError:
raise CommandError("The course_id is not of the right format. It should be like 'org/course/run' or 'course-v1:org+course+run'")
# Find course
course_items = modulestore().get_items(course_id, qualifiers={'category': 'course'})
if not course_items:
raise CommandError("No such course was found.")
# Find openassessment items
oa_items = modulestore().get_items(course_id, qualifiers={'category': 'openassessment'})
if not oa_items:
raise CommandError("No openassessment item was found.")
oa_items = sorted(oa_items, key=lambda item:item.start or datetime(2030, 1, 1, tzinfo=UTC()))
print "Openassessment item(s):"
oa_output = PrettyTable(['#', 'Item ID', 'Title'])
oa_output.align = 'l'
for i, oa_item in enumerate(oa_items):
row = []
row.append(i)
row.append(oa_item.location)
row.append(oa_item.title)
oa_output.add_row(row)
print oa_output
while True:
try:
selected = raw_input("Choose an openassessment item # (empty to cancel): ")
if selected == '':
print "Cancelled."
return
selected = int(selected)
oa_item = oa_items[selected]
break
except (IndexError, ValueError):
print "WARN: Invalid number was detected. Choose again."
continue
item_location = oa_item.location
# Get student_id from username
# TODO: courseenrollment parameters can be used by only lms?
students = User.objects.filter(username=username, is_active=True, courseenrollment__course_id=course_id, courseenrollment__is_active=True)
if not students:
raise CommandError("No such user was found.")
student = students[0]
anonymous_student_id = anonymous_id_for_user(student, course_id)
# Get submission from student_id, course_id and item_location
submission = get_submission(course_id, item_location, anonymous_student_id)
# Print summary
print_summary(course_id, oa_item, anonymous_student_id)
while True:
print "[0] Show the user's submission again."
print "[1] Toggle the `scored` flag in the peer-assessment record."
print "[2] Create a new peer-assessment record to the users."
resp = raw_input("Choose an operation (empty to cancel): ")
if resp == '0':
print_summary(course_id, oa_item, anonymous_student_id)
elif resp == '1':
while True:
try:
selected_item_id = raw_input("Please input PeerWorkflowItem ID to toggle the `scored` flag (empty to cancel): ")
if selected_item_id == '':
print "Cancelled."
break
selected_item_id = int(selected_item_id)
selected_item = PeerWorkflowItem.objects.filter(id=selected_item_id, author=submission.id, submission_uuid=submission.submission_uuid, assessment__isnull=False)[0]
except (IndexError, ValueError):
print "WARN: Invalid ID was detected. Input again."
continue
# Update PeerWorkflowItem (assessment_peerworkflowitem record)
selected_item.scored = not selected_item.scored
selected_item.save()
# Update Score (submissions_score record)
latest_score = get_latest_score(submission)
if latest_score is not None:
max_scores = peer_api.get_rubric_max_scores(submission.submission_uuid)
try:
median_scores = peer_api.get_assessment_median_scores(submission.submission_uuid)
except:
median_scores = {}
sub_api.set_score(submission.submission_uuid, sum(median_scores.values()), sum(max_scores.values()))
#latest_score.points_earned = sum(median_scores.values())
#latest_score.created_at = now()
#latest_score.save()
# Update status of AssessmentWorkflow (workflow_assessmentworkflow record)
get_workflow_info(submission.submission_uuid, oa_item)
# Print summary
print_summary(course_id, oa_item, anonymous_student_id)
elif resp == '2':
while True:
staff_username = raw_input("Please input username to be given a new peer-assessment item (empty to cancel): ")
if staff_username == '':
print "Cancelled."
break
# TODO: courseenrollment parameters can be used by only lms?
staffs = User.objects.filter(username=staff_username, is_active=True, courseenrollment__course_id=course_id, courseenrollment__is_active=True)
if not staffs:
print "WARN: No such user was found in the course. Input again."
continue
staff = staffs[0]
anonymous_staff_id = anonymous_id_for_user(staff, course_id)
staff_submissions = PeerWorkflow.objects.filter(course_id=course_id, item_id=item_location, student_id=anonymous_staff_id)
if not staff_submissions:
print "WARN: This user hasn't posted any submission in this openassessment item yet. Input again."
continue
staff_submission = staff_submissions[0]
# Check if this user has already assessed the requested submission
items_assessed_by_staff = PeerWorkflowItem.objects.filter(
scorer=staff_submission,
author=submission,
submission_uuid=submission.submission_uuid
)
if len(items_assessed_by_staff) > 0:
print "WARN: This user has already assessed the requested submission. Input again."
continue
print "Staff submission:"
print_submission(staff_submission, oa_item)
while True:
resp = raw_input("Is this right? (y/n): ")
if resp.lower() == 'y':
new_items = PeerWorkflowItem.objects.filter(scorer_id=staff_submission.id, assessment__isnull=True).order_by('-started_at')
if new_items:
# Replace the author and submission_uuid
new_item = new_items[0]
new_item.author = submission
new_item.submission_uuid = submission.submission_uuid
new_item.started_at = now()
else:
new_item = PeerWorkflowItem.objects.create(
scorer=staff_submission,
author=submission,
submission_uuid=submission.submission_uuid,
started_at=now()
)
new_item.save()
print "Create a new peer-assessment record to %s successfully!" % staff.username
break
elif resp.lower() == 'n':
break
else:
continue
elif resp == '':
print "Cancelled."
break
else:
print "WARN: Invalid number was detected. Choose again."
continue
def render_grade_complete(self, workflow):
"""
Render the grade complete state.
Args:
workflow (dict): The serialized Workflow model.
Returns:
tuple of context (dict), template_path (string)
"""
# Peer specific stuff...
assessment_steps = self.assessment_steps
submission_uuid = workflow['submission_uuid']
example_based_assessment = None
self_assessment = None
feedback = None
peer_assessments = []
has_submitted_feedback = False
if "peer-assessment" in assessment_steps:
feedback = peer_api.get_assessment_feedback(submission_uuid)
peer_assessments = [
self._assessment_grade_context(asmnt)
for asmnt in peer_api.get_assessments(submission_uuid)
]
has_submitted_feedback = feedback is not None
if "self-assessment" in assessment_steps:
self_assessment = self._assessment_grade_context(
self_api.get_assessment(submission_uuid))
if "example-based-assessment" in assessment_steps:
example_based_assessment = self._assessment_grade_context(
ai_api.get_latest_assessment(submission_uuid))
feedback_text = feedback.get('feedback', '') if feedback else ''
student_submission = sub_api.get_submission(submission_uuid)
# We retrieve the score from the workflow, which in turn retrieves
# the score for our current submission UUID.
# We look up the score by submission UUID instead of student item
# to ensure that the score always matches the rubric.
# It's possible for the score to be `None` even if the workflow status is "done"
# when all the criteria in the rubric are feedback-only (no options).
score = workflow['score']
context = {
'score':
score,
'feedback_text':
feedback_text,
'student_submission':
student_submission,
'peer_assessments':
peer_assessments,
'self_assessment':
self_assessment,
'example_based_assessment':
example_based_assessment,
'rubric_criteria':
self._rubric_criteria_grade_context(peer_assessments,
self_assessment),
'has_submitted_feedback':
has_submitted_feedback,
'allow_file_upload':
self.allow_file_upload,
'file_url':
self.get_download_url_from_submission(student_submission)
}
# Update the scores we will display to the user
# Note that we are updating a *copy* of the rubric criteria stored in
# the XBlock field
max_scores = peer_api.get_rubric_max_scores(submission_uuid)
median_scores = None
if "peer-assessment" in assessment_steps:
median_scores = peer_api.get_assessment_median_scores(
submission_uuid)
elif "self-assessment" in assessment_steps:
median_scores = self_api.get_assessment_scores_by_criteria(
submission_uuid)
elif "example-based-assessment" in assessment_steps:
median_scores = ai_api.get_assessment_scores_by_criteria(
submission_uuid)
if median_scores is not None and max_scores is not None:
for criterion in context["rubric_criteria"]:
# Although we prevent course authors from modifying criteria post-release,
# it's still possible for assessments created by course staff to
# have criteria that differ from the current problem definition.
# It's also possible to circumvent the post-release restriction
# if course authors directly import a course into Studio.
# If this happens, we simply leave the score blank so that the grade
# section can render without error.
criterion["median_score"] = median_scores.get(
criterion["name"], '')
criterion["total_value"] = max_scores.get(
criterion["name"], '')
return ('openassessmentblock/grade/oa_grade_complete.html', context)
def add_submission_context(self, submission_uuid, context):
"""
Add the submission information (self asssessment, peer assessments, final grade, etc.)
to the supplied context for display in the "learner info" portion of staff tools.
Args:
submission_uuid (unicode): The uuid of the submission, should NOT be None.
context: the context to update with additional information
"""
assessment_steps = self.assessment_steps
example_based_assessment = None
example_based_assessment_grade_context = None
self_assessment = None
self_assessment_grade_context = None
peer_assessments = None
peer_assessments_grade_context = []
staff_assessment = staff_api.get_latest_staff_assessment(submission_uuid)
staff_assessment_grade_context = None
submitted_assessments = None
grade_details = None
workflow = self.get_workflow_info(submission_uuid=submission_uuid)
grade_exists = workflow.get('status') == "done"
if "peer-assessment" in assessment_steps:
peer_assessments = peer_api.get_assessments(submission_uuid)
submitted_assessments = peer_api.get_submitted_assessments(submission_uuid)
if grade_exists:
peer_api.get_score(submission_uuid, self.workflow_requirements()["peer"])
peer_assessments_grade_context = [
self._assessment_grade_context(peer_assessment)
for peer_assessment in peer_assessments
]
if "self-assessment" in assessment_steps:
self_assessment = self_api.get_assessment(submission_uuid)
if grade_exists:
self_assessment_grade_context = self._assessment_grade_context(self_assessment)
if "example-based-assessment" in assessment_steps:
example_based_assessment = ai_api.get_latest_assessment(submission_uuid)
if grade_exists:
example_based_assessment_grade_context = self._assessment_grade_context(example_based_assessment)
if grade_exists:
if staff_assessment:
staff_assessment_grade_context = self._assessment_grade_context(staff_assessment)
grade_details = self.grade_details(
submission_uuid,
peer_assessments_grade_context,
self_assessment_grade_context,
example_based_assessment_grade_context,
staff_assessment_grade_context,
is_staff=True,
)
workflow_cancellation = self.get_workflow_cancellation_info(submission_uuid)
context.update({
'example_based_assessment': [example_based_assessment] if example_based_assessment else None,
'self_assessment': [self_assessment] if self_assessment else None,
'peer_assessments': peer_assessments,
'staff_assessment': [staff_assessment] if staff_assessment else None,
'submitted_assessments': submitted_assessments,
'grade_details': grade_details,
'score': workflow.get('score'),
'workflow_status': workflow.get('status'),
'workflow_cancellation': workflow_cancellation,
})
if peer_assessments or self_assessment or example_based_assessment or staff_assessment:
max_scores = peer_api.get_rubric_max_scores(submission_uuid)
for criterion in context["rubric_criteria"]:
criterion["total_value"] = max_scores[criterion["name"]]
def add_submission_context(self, submission_uuid, context):
"""
Add the submission information (self asssessment, peer assessments, final grade, etc.)
to the supplied context for display in the "learner info" portion of staff tools.
Args:
submission_uuid (unicode): The uuid of the submission, should NOT be None.
context: the context to update with additional information
"""
# Import is placed here to avoid model import at project startup.
from openassessment.assessment.api import peer as peer_api
from openassessment.assessment.api import self as self_api
from openassessment.assessment.api import staff as staff_api
assessment_steps = self.assessment_steps
self_assessment = None
self_assessment_grade_context = None
peer_assessments = None
peer_assessments_grade_context = []
staff_assessment = staff_api.get_latest_staff_assessment(
submission_uuid)
staff_assessment_grade_context = None
submitted_assessments = None
grade_details = None
workflow = self.get_workflow_info(submission_uuid=submission_uuid)
grade_exists = workflow.get('status') == "done"
grade_utils = self.runtime._services.get('grade_utils') # pylint: disable=protected-access
if "peer-assessment" in assessment_steps:
peer_assessments = peer_api.get_assessments(submission_uuid)
submitted_assessments = peer_api.get_submitted_assessments(
submission_uuid)
if grade_exists:
peer_api.get_score(submission_uuid,
self.workflow_requirements()["peer"])
peer_assessments_grade_context = [
self._assessment_grade_context(peer_assessment)
for peer_assessment in peer_assessments
]
if "self-assessment" in assessment_steps:
self_assessment = self_api.get_assessment(submission_uuid)
if grade_exists:
self_assessment_grade_context = self._assessment_grade_context(
self_assessment)
if grade_exists:
if staff_assessment:
staff_assessment_grade_context = self._assessment_grade_context(
staff_assessment)
grade_details = self.grade_details(
submission_uuid,
peer_assessments_grade_context,
self_assessment_grade_context,
staff_assessment_grade_context,
is_staff=True,
)
workflow_cancellation = self.get_workflow_cancellation_info(
workflow['submission_uuid'])
context.update({
'self_assessment': [self_assessment] if self_assessment else None,
'peer_assessments':
peer_assessments,
'staff_assessment':
[staff_assessment] if staff_assessment else None,
'submitted_assessments':
submitted_assessments,
'grade_details':
grade_details,
'score':
workflow.get('score'),
'workflow_status':
workflow.get('status'),
'workflow_cancellation':
workflow_cancellation,
'are_grades_frozen':
grade_utils.are_grades_frozen() if grade_utils else None
})
if peer_assessments or self_assessment or staff_assessment:
max_scores = peer_api.get_rubric_max_scores(submission_uuid)
for criterion in context["rubric_criteria"]:
criterion["total_value"] = max_scores[criterion["name"]]
def get_student_info_path_and_context(self, student_id):
"""
Get the proper path and context for rendering the the student info
section of the staff debug panel.
Args:
student_id (unicode): The ID of the student to report.
"""
submission_uuid = None
submission = None
assessment_steps = self.assessment_steps
student_item = self.get_student_item_dict()
scores = {}
problem_closed = None
if student_id:
student_item['student_id'] = student_id
# If there is a submission available for the requested student, present
# it. If not, there will be no other information to collect.
submissions = submission_api.get_submissions(student_item, 1)
if submissions:
submission_uuid = submissions[0]['uuid']
submission = submissions[0]
if 'file_key' in submission.get('answer', {}):
file_key = submission['answer']['file_key']
try:
submission['image_url'] = file_api.get_download_url(file_key)
except file_api.FileUploadError:
# Log the error, but do not prevent the rest of the student info
# from being displayed.
msg = (
u"Could not retrieve image URL for staff debug page. "
u"The student ID is '{student_id}', and the file key is {file_key}"
).format(student_id=student_id, file_key=file_key)
logger.exception(msg)
example_based_assessment = None
self_assessment = None
peer_assessments = []
submitted_assessments = []
if "peer-assessment" in assessment_steps:
peer_assessments = peer_api.get_assessments(submission_uuid)
submitted_assessments = peer_api.get_submitted_assessments(submission_uuid, scored_only=False)
# Get the data we need for instructor override of the student's score
rubric_dict = create_rubric_dict(self.prompt, self.rubric_criteria_with_labels)
scores = peer_api.get_data_for_override_score(
submission_uuid,
student_item,
rubric_dict,
)
problem_closed, dummy0, dummy1, dummy2 = self.is_closed(step='peer-assessment', course_staff=False)
if "self-assessment" in assessment_steps:
self_assessment = self_api.get_assessment(submission_uuid)
if "example-based-assessment" in assessment_steps:
example_based_assessment = ai_api.get_latest_assessment(submission_uuid)
context = {
'submission': submission,
'peer_assessments': peer_assessments,
'submitted_assessments': submitted_assessments,
'self_assessment': self_assessment,
'example_based_assessment': example_based_assessment,
'rubric_criteria': copy.deepcopy(self.rubric_criteria_with_labels),
'scores': scores,
'problem_closed': problem_closed,
}
if peer_assessments or self_assessment or example_based_assessment:
max_scores = peer_api.get_rubric_max_scores(submission_uuid)
for criterion in context["rubric_criteria"]:
criterion["total_value"] = max_scores[criterion["name"]]
path = 'openassessmentblock/staff_debug/student_info.html'
return path, context
def grade_details(
self, submission_uuid, peer_assessments, self_assessment, staff_assessment,
is_staff=False
):
"""
Returns details about the grade assigned to the submission.
Args:
submission_uuid (str): The id of the submission being graded.
peer_assessments (list of dict): Serialized assessment models from the peer API.
self_assessment (dict): Serialized assessment model from the self API
staff_assessment (dict): Serialized assessment model from the staff API
is_staff (bool): True if the grade details are being displayed to staff, else False.
Default value is False (meaning grade details are being shown to the learner).
Returns:
A dictionary with full details about the submission's grade.
Example:
{
criteria: [{
'label': 'Test name',
'name': 'f78ac7d4ca1e4134b0ba4b40ca212e72',
'prompt': 'Test prompt',
'order_num': 2,
'options': [...]
'feedback': [
'Good job!',
'Excellent work!',
]
}],
additional_feedback: [{
}]
...
}
"""
# Import is placed here to avoid model import at project startup.
from openassessment.assessment.api import peer as peer_api
from openassessment.assessment.api import self as self_api
from openassessment.assessment.api import staff as staff_api
criteria = copy.deepcopy(self.rubric_criteria_with_labels)
def has_feedback(assessments):
"""
Returns True if at least one assessment has feedback.
Args:
assessments: A list of assessments
Returns:
Returns True if at least one assessment has feedback.
"""
return any(
(
assessment and
(assessment.get('feedback', None) or has_feedback(assessment.get('individual_assessments', [])))
)
for assessment in assessments
)
max_scores = peer_api.get_rubric_max_scores(submission_uuid)
median_scores = None
assessment_steps = self.assessment_steps
if staff_assessment:
median_scores = staff_api.get_assessment_scores_by_criteria(submission_uuid)
elif "peer-assessment" in assessment_steps:
median_scores = peer_api.get_assessment_median_scores(submission_uuid)
elif "self-assessment" in assessment_steps:
median_scores = self_api.get_assessment_scores_by_criteria(submission_uuid)
for criterion in criteria:
criterion_name = criterion['name']
# Record assessment info for the current criterion
criterion['assessments'] = self._graded_assessments(
submission_uuid, criterion,
assessment_steps,
staff_assessment,
peer_assessments,
self_assessment,
is_staff=is_staff,
)
# Record whether there is any feedback provided in the assessments
criterion['has_feedback'] = has_feedback(criterion['assessments'])
# Although we prevent course authors from modifying criteria post-release,
# it's still possible for assessments created by course staff to
# have criteria that differ from the current problem definition.
# It's also possible to circumvent the post-release restriction
# if course authors directly import a course into Studio.
# If this happens, we simply leave the score blank so that the grade
# section can render without error.
criterion['median_score'] = median_scores.get(criterion_name, '')
criterion['total_value'] = max_scores.get(criterion_name, '')
return {
'criteria': criteria,
'additional_feedback': self._additional_feedback(
staff_assessment=staff_assessment,
peer_assessments=peer_assessments,
self_assessment=self_assessment,
),
}
def render_grade_complete(self, workflow):
"""
Render the grade complete state.
Args:
workflow (dict): The serialized Workflow model.
Returns:
tuple of context (dict), template_path (string)
"""
# Peer specific stuff...
assessment_steps = self.assessment_steps
submission_uuid = workflow['submission_uuid']
if "peer-assessment" in assessment_steps:
feedback = peer_api.get_assessment_feedback(submission_uuid)
peer_assessments = peer_api.get_assessments(submission_uuid)
has_submitted_feedback = feedback is not None
else:
feedback = None
peer_assessments = []
has_submitted_feedback = False
if "self-assessment" in assessment_steps:
self_assessment = self_api.get_assessment(submission_uuid)
else:
self_assessment = None
feedback_text = feedback.get('feedback', '') if feedback else ''
student_submission = sub_api.get_submission(submission_uuid)
# We retrieve the score from the workflow, which in turn retrieves
# the score for our current submission UUID.
# We look up the score by submission UUID instead of student item
# to ensure that the score always matches the rubric.
score = workflow['score']
context = {
'score':
score,
'feedback_text':
feedback_text,
'student_submission':
student_submission,
'peer_assessments':
peer_assessments,
'self_assessment':
self_assessment,
'rubric_criteria':
self._rubric_criteria_with_feedback(peer_assessments),
'has_submitted_feedback':
has_submitted_feedback,
}
# Update the scores we will display to the user
# Note that we are updating a *copy* of the rubric criteria stored in
# the XBlock field
max_scores = peer_api.get_rubric_max_scores(submission_uuid)
if "peer-assessment" in assessment_steps:
median_scores = peer_api.get_assessment_median_scores(
submission_uuid)
elif "self-assessment" in assessment_steps:
median_scores = self_api.get_assessment_scores_by_criteria(
submission_uuid)
if median_scores is not None and max_scores is not None:
for criterion in context["rubric_criteria"]:
criterion["median_score"] = median_scores[criterion["name"]]
criterion["total_value"] = max_scores[criterion["name"]]
return ('openassessmentblock/grade/oa_grade_complete.html', context)
