def test_error_on_get_assessment(self, mock_filter):
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'], 3)
peer_api.create_assessment(
bob_sub["uuid"], bob["student_id"],
ASSESSMENT_DICT['options_selected'],
ASSESSMENT_DICT['criterion_feedback'],
ASSESSMENT_DICT['overall_feedback'],
RUBRIC_DICT,
REQUIRED_GRADED_BY,
MONDAY,
)
mock_filter.side_effect = DatabaseError("Bad things happened")
peer_api.get_assessments(sub["uuid"])
def test_create_submissions(self):
# Create some submissions
cmd = create_oa_submissions.Command(**{'self_assessment_required': True})
cmd.handle("test_course", "test_item", "5", 100)
self.assertEqual(len(cmd.student_items), 5)
for student_item in cmd.student_items:
# Check that the student item was created for the right course / item
self.assertEqual(student_item['course_id'], 'test_course')
self.assertEqual(student_item['item_id'], 'test_item')
# Check that a submission was created
submissions = sub_api.get_submissions(student_item)
self.assertEqual(len(submissions), 1)
answer_dict = submissions[0]['answer']
self.assertIsInstance(answer_dict['text'], basestring)
self.assertGreater(len(answer_dict['text']), 0)
# Check that peer and self assessments were created
assessments = peer_api.get_assessments(submissions[0]['uuid'])
# Verify that the assessments exist and have content
self.assertEqual(len(assessments), cmd.NUM_PEER_ASSESSMENTS)
for assessment in assessments:
self.assertGreater(assessment['points_possible'], 0)
# Check that a self-assessment was created
assessment = self_api.get_assessment(submissions[0]['uuid'])
# Verify that the assessment exists and has content
self.assertIsNot(assessment, None)
self.assertGreater(assessment['points_possible'], 0)
def test_create_submissions(self):
""" Tests create submission process. """
# Create some submissions
cmd = create_oa_submissions.Command(**{'self_assessment_required': True})
cmd.handle("test_course", "test_item", "5", 100)
self.assertEqual(len(cmd.student_items), 5)
for student_item in cmd.student_items:
# Check that the student item was created for the right course / item
self.assertEqual(student_item['course_id'], 'test_course')
self.assertEqual(student_item['item_id'], 'test_item')
# Check that a submission was created
submissions = sub_api.get_submissions(student_item)
self.assertEqual(len(submissions), 1)
answer_dict = submissions[0]['answer']
self.assertIsInstance(answer_dict['text'], six.string_types)
self.assertGreater(len(answer_dict['text']), 0)
# Check that peer and self assessments were created
assessments = peer_api.get_assessments(submissions[0]['uuid'])
# Verify that the assessments exist and have content
self.assertEqual(len(assessments), cmd.NUM_PEER_ASSESSMENTS)
for assessment in assessments:
self.assertGreater(assessment['points_possible'], 0)
# Check that a self-assessment was created
assessment = self_api.get_assessment(submissions[0]['uuid'])
# Verify that the assessment exists and has content
self.assertIsNot(assessment, None)
self.assertGreater(assessment['points_possible'], 0)
def _submit_peer_assessment(self,
xblock,
student_id,
scorer_id,
assessment,
expect_failure=False):
"""
Create submissions for a student and scorer, then create a peer assessment
from the scorer.
Args:
xblock (OpenAssessmentBlock)
student_id (unicode): The ID of the student being assessed.
scorer_id (unicode): The ID of the student creating the assessment.
assessment (dict): Serialized assessment model.
Keyword Arguments:
expect_failure (bool): If true, expect a failure response and return None
Returns:
dict: The peer assessment retrieved from the API.
"""
# Create a submission for this problem from another user
student_item = xblock.get_student_item_dict()
student_item['student_id'] = student_id
submission = xblock.create_submission(student_item, self.SUBMISSION)
# Create a submission for the scorer (required before assessing another student)
another_student = copy.deepcopy(student_item)
another_student['student_id'] = scorer_id
another_submission = xblock.create_submission(another_student,
self.SUBMISSION)
# Pull the submission to assess
peer_api.get_submission_to_assess(another_submission['uuid'], 3)
# Submit an assessment and expect a successful response
assessment = copy.deepcopy(assessment)
assessment['submission_uuid'] = assessment.get(
'submission_uuid', submission.get('uuid', None))
resp = self.request(xblock,
'peer_assess',
json.dumps(assessment),
response_format='json')
if expect_failure:
self.assertFalse(resp['success'])
return None
else:
self.assertTrue(resp['success'])
# Retrieve the peer assessment
retrieved_assessment = peer_api.get_assessments(
submission['uuid'])[0]
return submission['uuid'], retrieved_assessment
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_assessments(self, assessment_dict):
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'], 3)
peer_api.create_assessment(
bob_sub["uuid"],
bob["student_id"],
assessment_dict['options_selected'],
assessment_dict['criterion_feedback'],
assessment_dict['overall_feedback'],
RUBRIC_DICT,
REQUIRED_GRADED_BY,
)
assessments = peer_api.get_assessments(sub["uuid"], scored_only=False)
self.assertEqual(1, len(assessments))
def _submit_peer_assessment(self, xblock, student_id, scorer_id, assessment, expect_failure=False):
"""
Create submissions for a student and scorer, then create a peer assessment
from the scorer.
Args:
xblock (OpenAssessmentBlock)
student_id (unicode): The ID of the student being assessed.
scorer_id (unicode): The ID of the student creating the assessment.
assessment (dict): Serialized assessment model.
Keyword Arguments:
expect_failure (bool): If true, expect a failure response and return None
Returns:
dict: The peer assessment retrieved from the API.
"""
# Create a submission for this problem from another user
student_item = xblock.get_student_item_dict()
student_item["student_id"] = student_id
submission = xblock.create_submission(student_item, self.SUBMISSION)
# Create a submission for the scorer (required before assessing another student)
another_student = copy.deepcopy(student_item)
another_student["student_id"] = scorer_id
another_submission = xblock.create_submission(another_student, self.SUBMISSION)
# Pull the submission to assess
peer_api.get_submission_to_assess(another_submission["uuid"], 3)
# Submit an assessment and expect a successful response
assessment = copy.deepcopy(assessment)
assessment["submission_uuid"] = assessment.get("submission_uuid", submission.get("uuid", None))
resp = self.request(xblock, "peer_assess", json.dumps(assessment), response_format="json")
if expect_failure:
self.assertFalse(resp["success"])
return None
else:
self.assertTrue(resp["success"])
# Retrieve the peer assessment
retrieved_assessment = peer_api.get_assessments(submission["uuid"], scored_only=False)[0]
return submission["uuid"], retrieved_assessment
def get_evaluations_for_student_item(request, course_id, student_id, item_id):
"""Retrieve all evaluations associated with the given student item.
Developer utility for accessing all the evaluations associated with a
student item. The student item is specified by the unique combination of
course, student, and item.
Args:
request (dict): The request.
course_id (str): The course id for this student item.
student_id (str): The student id for this student item.
item_id (str): The item id for this student item.
Returns:
HttpResponse: The response object for this request. Renders a simple
development page with all the evaluations related to the specified
student item.
"""
student_item_dict = dict(
course_id=course_id,
student_id=student_id,
item_id=item_id,
)
context = dict(**student_item_dict)
try:
submissions = get_submissions(student_item_dict)
evaluations = []
for submission in submissions:
submission_evaluations = get_assessments(submission["uuid"])
for evaluation in submission_evaluations:
evaluation["submission_uuid"] = submission["uuid"]
evaluations.append(evaluation)
context["evaluations"] = evaluations
except SubmissionRequestError:
context["error"] = "The specified student item was not found."
return render_to_response('evaluations.html', context)
def get_evaluations_for_student_item(request, course_id, student_id, item_id): # pylint: disable=unused-argument
"""Retrieve all evaluations associated with the given student item.
Developer utility for accessing all the evaluations associated with a
student item. The student item is specified by the unique combination of
course, student, and item.
Args:
request (dict): The request.
course_id (str): The course id for this student item.
student_id (str): The student id for this student item.
item_id (str): The item id for this student item.
Returns:
HttpResponse: The response object for this request. Renders a simple
development page with all the evaluations related to the specified
student item.
"""
student_item_dict = dict(
course_id=course_id,
student_id=student_id,
item_id=item_id,
)
context = dict(**student_item_dict)
try:
submissions = get_submissions(student_item_dict)
evaluations = []
for submission in submissions:
submission_evaluations = get_assessments(submission["uuid"])
for evaluation in submission_evaluations:
evaluation["submission_uuid"] = submission["uuid"]
evaluations.append(evaluation)
context["evaluations"] = evaluations
except SubmissionRequestError:
context["error"] = "The specified student item was not found."
return render_to_response('evaluations.html', context)
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 test_get_assessments_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_assessments(tim["uuid"])
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 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)
"""
# 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
from submissions import api as sub_api
# Peer specific stuff...
assessment_steps = self.assessment_steps
submission_uuid = workflow['submission_uuid']
staff_assessment = None
self_assessment = None
feedback = None
peer_assessments = []
has_submitted_feedback = False
if "peer-assessment" in assessment_steps:
peer_api.get_score(submission_uuid,
self.workflow_requirements()["peer"])
feedback = peer_api.get_assessment_feedback(submission_uuid)
peer_assessments = [
self._assessment_grade_context(peer_assessment) for
peer_assessment 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))
raw_staff_assessment = staff_api.get_latest_staff_assessment(
submission_uuid)
if raw_staff_assessment:
staff_assessment = self._assessment_grade_context(
raw_staff_assessment)
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,
'has_submitted_feedback':
has_submitted_feedback,
'student_submission':
create_submission_dict(student_submission, self.prompts),
'peer_assessments':
peer_assessments,
'grade_details':
self.grade_details(
submission_uuid,
peer_assessments=peer_assessments,
self_assessment=self_assessment,
staff_assessment=staff_assessment,
),
'file_upload_type':
self.file_upload_type,
'allow_latex':
self.allow_latex,
'prompts_type':
self.prompts_type,
'file_urls':
self.get_download_urls_from_submission(student_submission),
'xblock_id':
self.get_xblock_id()
}
return ('openassessmentblock/grade/oa_grade_complete.html', 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,
'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 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
"""
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 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)
"""
# 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
from submissions import api as sub_api
# Peer specific stuff...
assessment_steps = self.assessment_steps
submission_uuid = workflow['submission_uuid']
staff_assessment = None
self_assessment = None
feedback = None
peer_assessments = []
has_submitted_feedback = False
if "peer-assessment" in assessment_steps:
peer_api.get_score(submission_uuid, self.workflow_requirements()["peer"])
feedback = peer_api.get_assessment_feedback(submission_uuid)
peer_assessments = [
self._assessment_grade_context(peer_assessment)
for peer_assessment 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)
)
raw_staff_assessment = staff_api.get_latest_staff_assessment(submission_uuid)
if raw_staff_assessment:
staff_assessment = self._assessment_grade_context(raw_staff_assessment)
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,
'has_submitted_feedback': has_submitted_feedback,
'student_submission': create_submission_dict(student_submission, self.prompts),
'peer_assessments': peer_assessments,
'grade_details': self.grade_details(
submission_uuid,
peer_assessments=peer_assessments,
self_assessment=self_assessment,
staff_assessment=staff_assessment,
),
'file_upload_type': self.file_upload_type,
'allow_latex': self.allow_latex,
'file_urls': self.get_download_urls_from_submission(student_submission),
'xblock_id': self.get_xblock_id()
}
return ('openassessmentblock/grade/oa_grade_complete.html', 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']
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)
