def test_get_submission_and_student(self):
submission = api.create_submission(STUDENT_ITEM, ANSWER_ONE)
# Retrieve the submission by its uuid
retrieved = api.get_submission_and_student(submission['uuid'])
self.assertItemsEqual(submission, retrieved)
# Should raise an exception if the student item does not exist
with self.assertRaises(api.SubmissionNotFoundError):
api.get_submission_and_student(u'no such uuid')
def test_load_non_json_answer(self):
# This should never happen, if folks are using the public API.
# Create a submission with a raw answer that is NOT valid JSON
submission = api.create_submission(STUDENT_ITEM, ANSWER_ONE)
sub_model = Submission.objects.get(uuid=submission['uuid'])
sub_model.raw_answer = ''
sub_model.save()
with self.assertRaises(api.SubmissionInternalError):
api.get_submission(sub_model.uuid)
with self.assertRaises(api.SubmissionInternalError):
api.get_submission_and_student(sub_model.uuid)
def test_load_non_json_answer(self):
submission = api.create_submission(STUDENT_ITEM, ANSWER_ONE)
sub_model = Submission.objects.get(uuid=submission['uuid'])
# This should never happen, if folks are using the public API.
# Create a submission with a raw answer that is NOT valid JSON
query = "UPDATE submissions_submission SET raw_answer = '}' WHERE id = %s"
connection.cursor().execute(query, [str(sub_model.id)])
transaction.commit_unless_managed()
with self.assertRaises(api.SubmissionInternalError):
api.get_submission(sub_model.uuid)
with self.assertRaises(api.SubmissionInternalError):
api.get_submission_and_student(sub_model.uuid)
def create_workflow(cls, submission_uuid):
"""
Create a student training workflow.
Args:
submission_uuid (str): The UUID of the submission from the student
being trained.
Returns:
StudentTrainingWorkflow
Raises:
SubmissionError: There was an error retrieving the submission.
"""
# Retrieve the student item info
submission = sub_api.get_submission_and_student(submission_uuid)
student_item = submission['student_item']
# Create the workflow
try:
workflow, __ = cls.objects.get_or_create(
submission_uuid=submission_uuid,
student_id=student_item['student_id'],
item_id=student_item['item_id'],
course_id=student_item['course_id']
)
return workflow
# If we get an integrity error, it means we've violated a uniqueness constraint
# (someone has created this object after we checked if it existed)
# We can therefore assume that the object exists and do nothing.
except IntegrityError:
pass
def _write_submission_to_csv(self, submission_uuid):
"""
Write submission data to CSV.
Args:
submission_uuid (unicode): The UUID of the submission to write.
Returns:
None
"""
submission = sub_api.get_submission_and_student(submission_uuid, read_replica=True)
self._write_unicode('submission', [
submission['uuid'],
submission['student_item']['student_id'],
submission['student_item']['item_id'],
submission['submitted_at'],
submission['created_at'],
json.dumps(submission['answer'])
])
score = sub_api.get_latest_score_for_submission(submission_uuid, read_replica=True)
if score is not None:
self._write_unicode('score', [
score['submission_uuid'],
score['points_earned'],
score['points_possible'],
score['created_at']
])
def set_staff_score(self, score, reason=None):
"""
Set a staff score for the workflow.
Allows for staff scores to be set on a submission, with annotations to provide an audit trail if needed.
This method can be used for both required staff grading, and staff overrides.
Args:
score (dict): A dict containing 'points_earned', 'points_possible', and 'staff_id'.
is_override (bool): Optionally True if staff is overriding a previous score.
reason (string): An optional parameter specifying the reason for the staff grade. A default value
will be used in the event that this parameter is not provided.
"""
if reason is None:
reason = "A staff member has defined the score for this submission"
sub_dict = sub_api.get_submission_and_student(self.submission_uuid)
sub_api.reset_score(
sub_dict['student_item']['student_id'],
self.course_id,
self.item_id,
emit_signal=False
)
sub_api.set_score(
self.submission_uuid,
score["points_earned"],
score["points_possible"],
annotation_creator=score["staff_id"],
annotation_type=self.STAFF_ANNOTATION_TYPE,
annotation_reason=reason
)
def render_staff_grade_form(self, data, suffix=''): # pylint: disable=W0613
"""
Renders a form to staff-grade the next available learner submission.
Must be course staff to render this view.
"""
# Import is placed here to avoid model import at project startup.
from openassessment.assessment.api import staff as staff_api
from submissions import api as submission_api
try:
student_item_dict = self.get_student_item_dict()
course_id = student_item_dict.get('course_id')
item_id = student_item_dict.get('item_id')
staff_id = student_item_dict['student_id']
# Note that this will check out a submission for grading by the specified staff member.
# If no submissions are available for grading, will return None.
submission_to_assess = staff_api.get_submission_to_assess(
course_id, item_id, staff_id)
if submission_to_assess is not None:
# This is posting a tracking event to the runtime.
self.runtime.publish(
self,
'openassessmentblock.get_submission_for_staff_grading', {
'type': 'full-grade',
'requesting_staff_id': staff_id,
'item_id': item_id,
'submission_returned_uuid':
submission_to_assess['uuid']
})
submission = submission_api.get_submission_and_student(
submission_to_assess['uuid'])
if submission:
anonymous_student_id = submission['student_item'][
'student_id']
submission_context = self.get_student_submission_context(
self.get_username(anonymous_student_id), submission)
if self.is_team_assignment():
self.add_team_submission_context(
submission_context,
individual_submission_uuid=submission['uuid'],
transform_usernames=True)
path = 'openassessmentblock/staff_area/oa_staff_grade_learners_assessment.html'
return self.render_assessment(path, submission_context)
return self.render_error(
self._("Error loading the checked out learner response."))
return self.render_error(
self.
_("No other learner responses are available for grading at this time."
))
except PeerAssessmentInternalError:
return self.render_error(
self._("Error getting staff grade information."))
def start_workflow(cls, submission_uuid, rubric_dict, algorithm_id):
"""
Start a grading workflow.
Args:
submission_uuid (str): The UUID of the submission to grade.
rubric_dict (dict): The serialized rubric model.
algorithm_id (unicode): The ID of the algorithm to use for grading.
Returns:
AIGradingWorkflow
Raises:
SubmissionNotFoundError
SubmissionRequestError
SubmissionInternalError
InvalidRubric
DatabaseError
"""
# Retrieve info about the submission
submission = sub_api.get_submission_and_student(submission_uuid)
# Get or create the rubric
from openassessment.assessment.serializers import rubric_from_dict
rubric = rubric_from_dict(rubric_dict)
# Retrieve the submission text
# Submissions are arbitrary JSON-blobs, which *should*
# contain a single key, "answer", containing the essay
# submission text. If not, though, assume we've been
# given the essay text directly (convenient for testing).
if isinstance(submission, dict):
essay_text = submission.get('answer')
else:
essay_text = unicode(submission)
# Create the workflow
workflow = cls.objects.create(
submission_uuid=submission_uuid,
essay_text=essay_text,
algorithm_id=algorithm_id,
student_id=submission['student_item']['student_id'],
item_id=submission['student_item']['item_id'],
course_id=submission['student_item']['course_id'],
rubric=rubric
)
# Retrieve and assign classifier set candidates
workflow.assign_most_recent_classifier_set()
workflow._log_start_workflow()
return workflow
def start_workflow(cls, submission_uuid, rubric_dict, algorithm_id):
"""
Start a grading workflow.
Args:
submission_uuid (str): The UUID of the submission to grade.
rubric_dict (dict): The serialized rubric model.
algorithm_id (unicode): The ID of the algorithm to use for grading.
Returns:
AIGradingWorkflow
Raises:
SubmissionNotFoundError
SubmissionRequestError
SubmissionInternalError
InvalidRubric
DatabaseError
"""
# Retrieve info about the submission
submission = sub_api.get_submission_and_student(submission_uuid)
# Get or create the rubric
from openassessment.assessment.serializers import rubric_from_dict
rubric = rubric_from_dict(rubric_dict)
# Retrieve the submission text
# Submissions are arbitrary JSON-blobs, which *should*
# contain a single key, "answer", containing the essay
# submission text. If not, though, assume we've been
# given the essay text directly (convenient for testing).
if isinstance(submission, dict):
essay_text = submission.get('answer')
else:
essay_text = unicode(submission)
# Create the workflow
workflow = cls.objects.create(
submission_uuid=submission_uuid,
essay_text=essay_text,
algorithm_id=algorithm_id,
student_id=submission['student_item']['student_id'],
item_id=submission['student_item']['item_id'],
course_id=submission['student_item']['course_id'],
rubric=rubric)
# Retrieve and assign classifier set candidates
workflow.assign_most_recent_classifier_set()
workflow._log_start_workflow()
return workflow
def override_score(self):
"""
Latest override score.
Note an override score has no submission associated with it.
"""
try:
submission_dict = sub_api.get_submission_and_student(self.submission_uuid)
except sub_api.SubmissionError:
return None
student_item = submission_dict["student_item"]
return sub_api.get_score_override(student_item)
def test_grade_score_override(self, xblock):
# Graded peers, but haven't completed self assessment
self._create_submission_and_assessments(
xblock, self.SUBMISSION, [self.PEERS[0]], [self.ASSESSMENTS[0]], None
)
# Create an override score for the submission
submission_dict = sub_api.get_submission_and_student(xblock.submission_uuid)
student_item = submission_dict['student_item']
sub_api.score_override(student_item, '14', '15')
# Verify that we're on the grade override template
resp = self.request(xblock, 'render_grade', json.dumps(dict()))
self.assertIn(u'<span class="grade__value__earned">14</span> out of <span class="grade__value__potential">15</span>, set by the instructor.', resp.decode('utf-8').lower())
def staff_assess(self, data, suffix=''):
"""
Create a staff assessment from a staff submission.
"""
if 'submission_uuid' not in data:
return {
'success': False, 'msg': self._(u"The submission ID of the submission being assessed was not found.")
}
try:
assessment = staff_api.create_assessment(
data['submission_uuid'],
self.get_student_item_dict()["student_id"],
data['options_selected'],
clean_criterion_feedback(self.rubric_criteria, data['criterion_feedback']),
data['overall_feedback'],
create_rubric_dict(self.prompts, self.rubric_criteria_with_labels)
)
assess_type = data.get('assess_type', 'regrade')
self.publish_assessment_event("openassessmentblock.staff_assess", assessment, type=assess_type)
workflow_api.update_from_assessments(assessment["submission_uuid"], None)
student_item = sub_api.get_submission_and_student(data['submission_uuid']).get('student_item', None)
if student_item:
student_id = student_item.get('student_id', None)
if student_id:
student_email = self.get_user_email(student_id)
send_notification_for_assessment.delay(student_email, 'staff', "{0}".format(self.course_id), "{0}".format(self.scope_ids.usage_id))
except StaffAssessmentRequestError:
logger.warning(
u"An error occurred while submitting a staff assessment "
u"for the submission {}".format(data['submission_uuid']),
exc_info=True
)
msg = self._(u"Your staff assessment could not be submitted.")
return {'success': False, 'msg': msg}
except StaffAssessmentInternalError:
logger.exception(
u"An error occurred while submitting a staff assessment "
u"for the submission {}".format(data['submission_uuid']),
)
msg = self._(u"Your staff assessment could not be submitted.")
return {'success': False, 'msg': msg}
else:
return {'success': True, 'msg': u""}
def start_workflow(cls, submission_uuid, rubric_dict, algorithm_id):
"""
Start a grading workflow.
Args:
submission_uuid (str): The UUID of the submission to grade.
rubric_dict (dict): The serialized rubric model.
algorithm_id (unicode): The ID of the algorithm to use for grading.
Returns:
AIGradingWorkflow
Raises:
SubmissionNotFoundError
SubmissionRequestError
SubmissionInternalError
InvalidRubric
DatabaseError
"""
# Retrieve info about the submission
submission = sub_api.get_submission_and_student(submission_uuid)
# Get or create the rubric
from openassessment.assessment.serializers import rubric_from_dict
rubric = rubric_from_dict(rubric_dict)
# Create the workflow
workflow = cls.objects.create(
submission_uuid=submission_uuid,
essay_text=essay_text_from_submission(submission),
algorithm_id=algorithm_id,
student_id=submission['student_item']['student_id'],
item_id=submission['student_item']['item_id'],
course_id=submission['student_item']['course_id'],
rubric=rubric
)
# Retrieve and assign classifier set candidates
workflow.assign_most_recent_classifier_set()
workflow._log_start_workflow()
return workflow
def start_workflow(cls, submission_uuid, rubric_dict, algorithm_id):
"""
Start a grading workflow.
Args:
submission_uuid (str): The UUID of the submission to grade.
rubric_dict (dict): The serialized rubric model.
algorithm_id (unicode): The ID of the algorithm to use for grading.
Returns:
AIGradingWorkflow
Raises:
SubmissionNotFoundError
SubmissionRequestError
SubmissionInternalError
InvalidRubric
DatabaseError
"""
# Retrieve info about the submission
submission = sub_api.get_submission_and_student(submission_uuid)
# Get or create the rubric
from openassessment.assessment.serializers import rubric_from_dict
rubric = rubric_from_dict(rubric_dict)
# Create the workflow
workflow = cls.objects.create(
submission_uuid=submission_uuid,
essay_text=essay_text_from_submission(submission),
algorithm_id=algorithm_id,
student_id=submission['student_item']['student_id'],
item_id=submission['student_item']['item_id'],
course_id=submission['student_item']['course_id'],
rubric=rubric)
# Retrieve and assign classifier set candidates
workflow.assign_most_recent_classifier_set()
workflow._log_start_workflow()
return workflow
def render_staff_grade_form(self, data, suffix=''): # pylint: disable=W0613
"""
Renders a form to staff-grade the next available learner submission.
Must be course staff to render this view.
"""
# Import is placed here to avoid model import at project startup.
from openassessment.assessment.api import staff as staff_api
from submissions import api as submission_api
try:
student_item_dict = self.get_student_item_dict()
course_id = student_item_dict.get('course_id')
item_id = student_item_dict.get('item_id')
staff_id = student_item_dict['student_id']
# Note that this will check out a submission for grading by the specified staff member.
# If no submissions are available for grading, will return None.
submission_to_assess = staff_api.get_submission_to_assess(course_id, item_id, staff_id)
if submission_to_assess is not None:
# This is posting a tracking event to the runtime.
self.runtime.publish(self, 'openassessmentblock.get_submission_for_staff_grading', {
'type': 'full-grade',
'requesting_staff_id': staff_id,
'item_id': item_id,
'submission_returned_uuid': submission_to_assess['uuid']
})
submission = submission_api.get_submission_and_student(submission_to_assess['uuid'])
if submission:
anonymous_student_id = submission['student_item']['student_id']
submission_context = self.get_student_submission_context(
self.get_username(anonymous_student_id), submission
)
path = 'openassessmentblock/staff_area/oa_staff_grade_learners_assessment.html'
return self.render_assessment(path, submission_context)
else:
return self.render_error(self._(u"Error loading the checked out learner response."))
else:
return self.render_error(self._(u"No other learner responses are available for grading at this time."))
except PeerAssessmentInternalError:
return self.render_error(self._(u"Error getting staff grade information."))
def create_peer_workflow(submission_uuid):
"""Create a new peer workflow for a student item and submission.
Creates a unique peer workflow for a student item, associated with a
submission.
Args:
submission_uuid (str): The submission associated with this workflow.
Returns:
None
Raises:
SubmissionError: There was an error retrieving the submission.
PeerAssessmentInternalError: Raised when there is an internal error
creating the Workflow.
Examples:
>>> create_peer_workflow("1")
"""
try:
with transaction.atomic():
submission = sub_api.get_submission_and_student(submission_uuid)
workflow, __ = PeerWorkflow.objects.get_or_create(
student_id=submission['student_item']['student_id'],
course_id=submission['student_item']['course_id'],
item_id=submission['student_item']['item_id'],
submission_uuid=submission_uuid
)
workflow.save()
except IntegrityError:
# If we get an integrity error, it means someone else has already
# created a workflow for this submission, so we don't need to do anything.
pass
except DatabaseError as ex:
error_message = (
"An internal error occurred while creating a new peer "
"workflow for submission {}"
).format(submission_uuid)
logger.exception(error_message)
raise PeerAssessmentInternalError(error_message) from ex
def create_peer_workflow(submission_uuid):
"""Create a new peer workflow for a student item and submission.
Creates a unique peer workflow for a student item, associated with a
submission.
Args:
submission_uuid (str): The submission associated with this workflow.
Returns:
None
Raises:
SubmissionError: There was an error retrieving the submission.
PeerAssessmentInternalError: Raised when there is an internal error
creating the Workflow.
Examples:
>>> create_peer_workflow("1")
"""
try:
with transaction.atomic():
submission = sub_api.get_submission_and_student(submission_uuid)
workflow, __ = PeerWorkflow.objects.get_or_create(
student_id=submission['student_item']['student_id'],
course_id=submission['student_item']['course_id'],
item_id=submission['student_item']['item_id'],
submission_uuid=submission_uuid
)
workflow.save()
except IntegrityError:
# If we get an integrity error, it means someone else has already
# created a workflow for this submission, so we don't need to do anything.
pass
except DatabaseError:
error_message = (
u"An internal error occurred while creating a new peer "
u"workflow for submission {}"
).format(submission_uuid)
logger.exception(error_message)
raise PeerAssessmentInternalError(error_message)
def create_peer_workflow(submission_uuid):
"""Create a new peer workflow for a student item and submission.
Creates a unique peer workflow for a student item, associated with a
submission.
Args:
submission_uuid (str): The submission associated with this workflow.
Returns:
Workflow (PeerWorkflow): A PeerWorkflow item created based on the given
student item and submission.
Raises:
SubmissionError: There was an error retrieving the submission.
PeerAssessmentInternalError: Raised when there is an internal error
creating the Workflow.
Examples:
>>> create_peer_workflow("1")
"""
try:
submission = sub_api.get_submission_and_student(submission_uuid)
workflow = PeerWorkflow.objects.get_or_create(
student_id=submission['student_item']['student_id'],
course_id=submission['student_item']['course_id'],
item_id=submission['student_item']['item_id'],
submission_uuid=submission_uuid
)
return workflow
except DatabaseError:
error_message = _(
u"An internal error occurred while creating a new peer "
u"workflow for submission {}"
.format(submission_uuid)
)
logger.exception(error_message)
raise PeerAssessmentInternalError(error_message)
def get_or_create_workflow(cls, submission_uuid):
"""
Create a student training workflow.
Args:
submission_uuid (str): The UUID of the submission from the student being trained.
Returns:
StudentTrainingWorkflow
Raises:
SubmissionError: There was an error retrieving the submission.
"""
# Try to retrieve an existing workflow
# If we find one, return it immediately
try:
return cls.objects.get(submission_uuid=submission_uuid) # pylint:disable=E1101
except cls.DoesNotExist:
pass
# Retrieve the student item info
submission = sub_api.get_submission_and_student(submission_uuid)
student_item = submission['student_item']
# Create the workflow
try:
return cls.objects.create(
submission_uuid=submission_uuid,
student_id=student_item['student_id'],
item_id=student_item['item_id'],
course_id=student_item['course_id']
)
# If we get an integrity error, it means we've violated a uniqueness constraint
# (someone has created this object after we checked if it existed)
# We can therefore assume that the object exists and we can retrieve it.
except IntegrityError:
return cls.objects.get(submission_uuid=submission_uuid)
def create_peer_workflow_item(scorer, submission_uuid):
"""
Begin peer-assessing a particular submission.
Note that this does NOT pick the submission from the prioritized list of available submissions.
Mainly useful for testing.
Args:
scorer (str): The ID of the scoring student.
submission_uuid (str): The unique identifier of the submission being scored
Returns:
None
Raises:
PeerAssessmentWorkflowError: Could not find the workflow for the student.
PeerAssessmentInternalError: Could not create the peer workflow item.
SubmissionError: An error occurred while retrieving the submission.
"""
submission = get_submission_and_student(submission_uuid)
student_item_dict = copy.copy(submission['student_item'])
student_item_dict['student_id'] = scorer
workflow = _get_latest_workflow(student_item_dict)
_create_peer_workflow_item(workflow, submission_uuid)
def on_init(submission_uuid):
"""
Create a new staff workflow for a student item and submission.
Creates a unique staff workflow for a student item, associated with a
submission.
Note that the staff workflow begins things in on_init() instead of
on_start(), because staff shoud be able to access the submission
regardless of which state the workflow is currently in.
Args:
submission_uuid (str): The submission associated with this workflow.
Returns:
None
Raises:
StaffAssessmentInternalError: Raised when there is an internal error
creating the Workflow.
"""
try:
submission = submissions_api.get_submission_and_student(submission_uuid)
workflow, __ = StaffWorkflow.objects.get_or_create(
course_id=submission['student_item']['course_id'],
item_id=submission['student_item']['item_id'],
submission_uuid=submission_uuid
)
except DatabaseError:
error_message = (
u"An internal error occurred while creating a new staff "
u"workflow for submission {}"
.format(submission_uuid)
)
logger.exception(error_message)
raise StaffAssessmentInternalError(error_message)
def create_peer_workflow(submission_uuid):
"""Create a new peer workflow for a student item and submission.
Creates a unique peer workflow for a student item, associated with a
submission.
Args:
submission_uuid (str): The submission associated with this workflow.
Returns:
Workflow (PeerWorkflow): A PeerWorkflow item created based on the given
student item and submission.
Raises:
SubmissionError: There was an error retrieving the submission.
PeerAssessmentInternalError: Raised when there is an internal error
creating the Workflow.
Examples:
>>> create_peer_workflow("1")
"""
try:
submission = sub_api.get_submission_and_student(submission_uuid)
workflow = PeerWorkflow.objects.get_or_create(
student_id=submission['student_item']['student_id'],
course_id=submission['student_item']['course_id'],
item_id=submission['student_item']['item_id'],
submission_uuid=submission_uuid)
return workflow
except DatabaseError:
error_message = _(
u"An internal error occurred while creating a new peer "
u"workflow for submission {}".format(submission_uuid))
logger.exception(error_message)
raise PeerAssessmentInternalError(error_message)
def get_or_create_workflow(cls, submission_uuid):
"""
Create a student training workflow.
Args:
submission_uuid (str): The UUID of the submission from the student being trained.
Returns:
StudentTrainingWorkflow
Raises:
SubmissionError: There was an error retrieving the submission.
"""
# Try to retrieve an existing workflow
# If we find one, return it immediately
try:
return cls.objects.get(submission_uuid=submission_uuid) # pylint:disable=E1101
except cls.DoesNotExist:
pass
# Retrieve the student item info
submission = sub_api.get_submission_and_student(submission_uuid)
student_item = submission['student_item']
# Create the workflow
try:
return cls.objects.create(submission_uuid=submission_uuid,
student_id=student_item['student_id'],
item_id=student_item['item_id'],
course_id=student_item['course_id'])
# If we get an integrity error, it means we've violated a uniqueness constraint
# (someone has created this object after we checked if it existed)
# We can therefore assume that the object exists and we can retrieve it.
except IntegrityError:
return cls.objects.get(submission_uuid=submission_uuid)
def create_assessment(
submission_uuid,
scorer_id,
assessment_dict,
rubric_dict,
num_required_grades,
scored_at=None):
"""Creates an assessment on the given submission.
Assessments are created based on feedback associated with a particular
rubric.
Args:
submission_uuid (str): The submission uuid this assessment is associated
with. The submission uuid is required and must already exist in the
Submission model.
scorer_id (str): The user ID for the user giving this assessment. This
is required to create an assessment on a submission.
assessment_dict (dict): All related information for the assessment. An
assessment contains points_earned, points_possible, and feedback.
num_required_grades (int): The required number of assessments a
submission requires before it is completed. If this number of
assessments is reached, the grading_completed_at timestamp is set
for the Workflow.
Kwargs:
scored_at (datetime): Optional argument to override the time in which
the assessment took place. If not specified, scored_at is set to
now.
Returns:
dict: the Assessment model, serialized as a dict.
Raises:
PeerAssessmentRequestError: Raised when the submission_id is invalid, or
the assessment_dict does not contain the required values to create
an assessment.
PeerAssessmentInternalError: Raised when there is an internal error
while creating a new assessment.
Examples:
>>> assessment_dict = dict(
>>> options_selected={"clarity": "Very clear", "precision": "Somewhat precise"},
>>> feedback="Your submission was thrilling.",
>>> )
>>> create_assessment("1", "Tim", assessment_dict, rubric_dict)
"""
try:
submission = sub_api.get_submission_and_student(submission_uuid)
rubric = rubric_from_dict(rubric_dict)
# Validate that the selected options matched the rubric
# and raise an error if this is not the case
try:
option_ids = rubric.options_ids(assessment_dict["options_selected"])
except InvalidOptionSelection as ex:
msg = _("Selected options do not match the rubric: {error}").format(error=ex.message)
raise PeerAssessmentRequestError(msg)
feedback = assessment_dict.get('feedback', u'')
peer_assessment = {
"rubric": rubric.id,
"scorer_id": scorer_id,
"submission_uuid": submission_uuid,
"score_type": PEER_TYPE,
"feedback": feedback,
}
if scored_at is not None:
peer_assessment["scored_at"] = scored_at
peer_serializer = AssessmentSerializer(data=peer_assessment)
if not peer_serializer.is_valid():
raise PeerAssessmentRequestError(peer_serializer.errors)
assessment = peer_serializer.save()
# We do this to do a run around django-rest-framework serializer
# validation, which would otherwise require two DB queries per
# option to do validation. We already validated these options above.
AssessmentPart.add_to_assessment(assessment, option_ids)
student_item = submission['student_item']
scorer_item = copy.deepcopy(student_item)
scorer_item['student_id'] = scorer_id
scorer_workflow = _get_latest_workflow(scorer_item)
workflow = _get_latest_workflow(student_item)
if not scorer_workflow:
raise PeerAssessmentWorkflowError(_(
"You must make a submission before assessing another student."))
if not workflow:
raise PeerAssessmentWorkflowError(_(
"The submission you reviewed is not in the peer workflow. This "
"assessment cannot be submitted unless the associated "
"submission came from the peer workflow."))
# Close the active assessment
_close_active_assessment(scorer_workflow, submission_uuid, assessment, num_required_grades)
assessment_dict = full_assessment_dict(assessment)
_log_assessment(assessment, student_item, scorer_item)
return assessment_dict
except DatabaseError:
error_message = _(
u"An error occurred while creating assessment {} for submission: "
u"{} by: {}"
.format(assessment_dict, submission_uuid, scorer_id)
)
logger.exception(error_message)
raise PeerAssessmentInternalError(error_message)
def create_assessment(submission_uuid, user_id, options_selected, rubric_dict, scored_at=None):
"""
Create a self-assessment for a submission.
Args:
submission_uuid (str): The unique identifier for the submission being assessed.
user_id (str): The ID of the user creating the assessment. This must match the ID of the user who made the submission.
options_selected (dict): Mapping of rubric criterion names to option values selected.
rubric_dict (dict): Serialized Rubric model.
Kwargs:
scored_at (datetime): The timestamp of the assessment; defaults to the current time.
Returns:
dict: serialized Assessment model
Raises:
SelfAssessmentRequestError: Could not retrieve a submission that the user is allowed to score.
"""
# Check that there are not any assessments for this submission
if Assessment.objects.filter(submission_uuid=submission_uuid, score_type=SELF_TYPE).exists():
raise SelfAssessmentRequestError(_("You've already completed your self assessment for this response."))
# Check that the student is allowed to assess this submission
try:
submission = get_submission_and_student(submission_uuid)
if submission['student_item']['student_id'] != user_id:
raise SelfAssessmentRequestError(_("You can only complete a self assessment on your own response."))
except SubmissionNotFoundError:
raise SelfAssessmentRequestError(_("Could not retrieve the response."))
# Get or create the rubric
try:
rubric = rubric_from_dict(rubric_dict)
option_ids = rubric.options_ids(options_selected)
except InvalidRubric as ex:
msg = _("Invalid rubric definition: {errors}").format(errors=ex.errors)
raise SelfAssessmentRequestError(msg)
except InvalidOptionSelection:
msg = _("Selected options do not match the rubric")
raise SelfAssessmentRequestError(msg)
# Create the assessment
# Since we have already retrieved the submission, we can assume that
# the user who created the submission exists.
self_assessment = {
"rubric": rubric.id,
"scorer_id": user_id,
"submission_uuid": submission_uuid,
"score_type": SELF_TYPE,
"feedback": u"",
}
if scored_at is not None:
self_assessment['scored_at'] = scored_at
# Serialize the assessment
serializer = AssessmentSerializer(data=self_assessment)
if not serializer.is_valid():
msg = _("Could not create self assessment: {errors}").format(errors=serializer.errors)
raise SelfAssessmentRequestError(msg)
assessment = serializer.save()
# We do this to do a run around django-rest-framework serializer
# validation, which would otherwise require two DB queries per
# option to do validation. We already validated these options above.
AssessmentPart.add_to_assessment(assessment, option_ids)
assessment_dict = full_assessment_dict(assessment)
_log_assessment(assessment, submission)
# Return the serialized assessment
return assessment_dict
def create_assessment(
submission_uuid,
user_id,
options_selected,
criterion_feedback,
overall_feedback,
rubric_dict,
scored_at=None
):
"""
Create a self-assessment for a submission.
Args:
submission_uuid (str): The unique identifier for the submission being assessed.
user_id (str): The ID of the user creating the assessment.
This must match the ID of the user who made the submission.
options_selected (dict): Mapping of rubric criterion names to option values selected.
criterion_feedback (dict): Dictionary mapping criterion names to the
free-form text feedback the user gave for the criterion.
Since criterion feedback is optional, some criteria may not appear
in the dictionary.
overall_feedback (unicode): Free-form text feedback on the submission overall.
rubric_dict (dict): Serialized Rubric model.
Keyword Arguments:
scored_at (datetime): The timestamp of the assessment; defaults to the current time.
Returns:
dict: serialized Assessment model
Raises:
SelfAssessmentRequestError: Could not retrieve a submission that the user is allowed to score.
"""
# Check that there are not any assessments for this submission
if Assessment.objects.filter(submission_uuid=submission_uuid, score_type=SELF_TYPE).exists():
msg = (
u"Cannot submit a self-assessment for the submission {uuid} "
"because another self-assessment already exists for that submission."
).format(uuid=submission_uuid)
raise SelfAssessmentRequestError(msg)
# Check that the student is allowed to assess this submission
try:
submission = get_submission_and_student(submission_uuid)
if submission['student_item']['student_id'] != user_id:
msg = (
u"Cannot submit a self-assessment for the submission {uuid} "
u"because it was created by another learner "
u"(submission learner ID {student_id} does not match your "
u"learner id {other_id})"
).format(
uuid=submission_uuid,
student_id=submission['student_item']['student_id'],
other_id=user_id
)
raise SelfAssessmentRequestError(msg)
except SubmissionNotFoundError:
msg = (
"Could not submit a self-assessment because no submission "
"exists with UUID {uuid}"
).format(uuid=submission_uuid)
raise SelfAssessmentRequestError()
try:
assessment = _complete_assessment(
submission_uuid,
user_id,
options_selected,
criterion_feedback,
overall_feedback,
rubric_dict,
scored_at
)
_log_assessment(assessment, submission)
except InvalidRubric as ex:
msg = "Invalid rubric definition: " + str(ex)
logger.warning(msg, exc_info=True)
raise SelfAssessmentRequestError(msg)
except InvalidRubricSelection as ex:
msg = "Selected options do not match the rubric: " + str(ex)
logger.warning(msg, exc_info=True)
raise SelfAssessmentRequestError(msg)
except DatabaseError:
error_message = (
u"Error creating self assessment for submission {}"
).format(submission_uuid)
logger.exception(error_message)
raise SelfAssessmentInternalError(error_message)
# Return the serialized assessment
return full_assessment_dict(assessment)
def start_workflow(cls, submission_uuid, step_names, on_init_params):
"""
Start a new workflow.
Args:
submission_uuid (str): The UUID of the submission associated with this workflow.
step_names (list): The names of the assessment steps in the workflow.
on_init_params (dict): The parameters to pass to each assessment module
on init. Keys are the assessment step names.
Returns:
AssessmentWorkflow
Raises:
SubmissionNotFoundError
SubmissionRequestError
SubmissionInternalError
DatabaseError
Assessment-module specific errors
"""
submission_dict = sub_api.get_submission_and_student(submission_uuid)
# Create the workflow and step models in the database
# For now, set the status to waiting; we'll modify it later
# based on the first step in the workflow.
workflow = cls.objects.create(
submission_uuid=submission_uuid,
status=AssessmentWorkflow.STATUS.waiting,
course_id=submission_dict["student_item"]["course_id"],
item_id=submission_dict["student_item"]["item_id"],
)
workflow_steps = [
AssessmentWorkflowStep(workflow=workflow, name=step, order_num=i) for i, step in enumerate(step_names)
]
workflow.steps.add(*workflow_steps)
# Initialize the assessment APIs
has_started_first_step = False
for step in workflow_steps:
api = step.api()
if api is not None:
# Initialize the assessment module
# We do this for every assessment module
on_init_func = getattr(api, "on_init", lambda submission_uuid, **params: None)
on_init_func(submission_uuid, **on_init_params.get(step.name, {}))
# For the first valid step, update the workflow status
# and notify the assessment module that it's being started
if not has_started_first_step:
# Update the workflow
workflow.status = step.name
workflow.save()
# Notify the assessment module that it's being started
on_start_func = getattr(api, "on_start", lambda submission_uuid: None)
on_start_func(submission_uuid)
# Remember that we've already started the first step
has_started_first_step = True
# Update the workflow (in case some of the assessment modules are automatically complete)
# We do NOT pass in requirements, on the assumption that any assessment module
# that accepts requirements would NOT automatically complete.
workflow.update_from_assessments(None)
# Return the newly created workflow
return workflow
def test_get_submission_and_student(self):
retrieved = sub_api.get_submission_and_student(self.submission['uuid'], read_replica=True)
expected = copy.deepcopy(self.submission)
expected['student_item'] = copy.deepcopy(self.STUDENT_ITEM)
self.assertEqual(retrieved, expected)
def create_assessment(submission_uuid,
user_id,
options_selected,
criterion_feedback,
overall_feedback,
rubric_dict,
scored_at=None):
"""
Create a self-assessment for a submission.
Args:
submission_uuid (str): The unique identifier for the submission being assessed.
user_id (str): The ID of the user creating the assessment.
This must match the ID of the user who made the submission.
options_selected (dict): Mapping of rubric criterion names to option values selected.
criterion_feedback (dict): Dictionary mapping criterion names to the
free-form text feedback the user gave for the criterion.
Since criterion feedback is optional, some criteria may not appear
in the dictionary.
overall_feedback (unicode): Free-form text feedback on the submission overall.
rubric_dict (dict): Serialized Rubric model.
Keyword Arguments:
scored_at (datetime): The timestamp of the assessment; defaults to the current time.
Returns:
dict: serialized Assessment model
Raises:
SelfAssessmentRequestError: Could not retrieve a submission that the user is allowed to score.
"""
# Check that there are not any assessments for this submission
if Assessment.objects.filter(submission_uuid=submission_uuid,
score_type=SELF_TYPE).exists():
msg = (
u"Cannot submit a self-assessment for the submission {uuid} "
"because another self-assessment already exists for that submission."
).format(uuid=submission_uuid)
raise SelfAssessmentRequestError(msg)
# Check that the student is allowed to assess this submission
try:
submission = get_submission_and_student(submission_uuid)
if submission['student_item']['student_id'] != user_id:
msg = (
u"Cannot submit a self-assessment for the submission {uuid} "
u"because it was created by another learner "
u"(submission learner ID {student_id} does not match your "
u"learner id {other_id})").format(
uuid=submission_uuid,
student_id=submission['student_item']['student_id'],
other_id=user_id)
raise SelfAssessmentRequestError(msg)
except SubmissionNotFoundError:
msg = ("Could not submit a self-assessment because no submission "
"exists with UUID {uuid}").format(uuid=submission_uuid)
raise SelfAssessmentRequestError()
try:
assessment = _complete_assessment(submission_uuid, user_id,
options_selected, criterion_feedback,
overall_feedback, rubric_dict,
scored_at)
_log_assessment(assessment, submission)
except InvalidRubric as ex:
msg = "Invalid rubric definition: " + str(ex)
logger.warning(msg, exc_info=True)
raise SelfAssessmentRequestError(msg)
except InvalidRubricSelection as ex:
msg = "Selected options do not match the rubric: " + str(ex)
logger.warning(msg, exc_info=True)
raise SelfAssessmentRequestError(msg)
except DatabaseError:
error_message = (u"Error creating self assessment for submission {}"
).format(submission_uuid)
logger.exception(error_message)
raise SelfAssessmentInternalError(error_message)
# Return the serialized assessment
return full_assessment_dict(assessment)
def create_workflow(submission_uuid):
"""Begins a new assessment workflow.
Create a new workflow that other assessments will record themselves against.
Args:
submission_uuid (str): The UUID for the submission that all our
assessments will be evaluating.
Returns:
dict: Assessment workflow information with the following
`uuid` = UUID of this `AssessmentWorkflow`
`submission_uuid` = UUID of submission this workflow tracks
`status` = Active step, always "peer" when created.
`created` = created datetime
'modified' = modified datetime (same as `created` for this method)
'score' = should be None in the usual case, but could be a dict
with keys "points_earned" and "points_possible` and int values.
The latter will only happen on workflow creation if something
else has already written the score for this submission (such as
a professor manually entering it). There is no support for such
a feature at present, but it may be added later.
Raises:
AssessmentWorkflowRequestError: If the `submission_uuid` passed in does
not exist or is of an invalid type.
AssessmentWorkflowInternalError: Unexpected internal error, such as the
submissions app not being available or a database configuation
problem.
"""
def sub_err_msg(specific_err_msg):
return (
u"Could not create assessment workflow: "
u"retrieving submission {} failed: {}"
.format(submission_uuid, specific_err_msg)
)
try:
submission_dict = sub_api.get_submission_and_student(submission_uuid)
except sub_api.SubmissionNotFoundError as err:
err_msg = sub_err_msg("submission not found")
logger.error(err_msg)
raise AssessmentWorkflowRequestError(err_msg)
except sub_api.SubmissionRequestError as err:
err_msg = sub_err_msg(err)
logger.error(err_msg)
raise AssessmentWorkflowRequestError(err_msg)
except sub_api.SubmissionInternalError as err:
err_msg = sub_err_msg(err)
logger.error(err)
raise AssessmentWorkflowInternalError(
u"retrieving submission {} failed with unknown error: {}"
.format(submission_uuid, err)
)
# We're not using a serializer to deserialize this because the only variable
# we're getting from the outside is the submission_uuid, which is already
# validated by this point.
try:
peer_api.create_peer_workflow(submission_uuid)
workflow = AssessmentWorkflow.objects.create(
submission_uuid=submission_uuid,
status=AssessmentWorkflow.STATUS.peer,
course_id=submission_dict['student_item']['course_id'],
item_id=submission_dict['student_item']['item_id'],
)
except (
DatabaseError,
peer_api.PeerAssessmentError,
sub_api.SubmissionError
) as err:
err_msg = u"Could not create assessment workflow: {}".format(err)
logger.exception(err_msg)
raise AssessmentWorkflowInternalError(err_msg)
return AssessmentWorkflowSerializer(workflow).data
def start_workflow(cls, submission_uuid, step_names, on_init_params):
"""
Start a new workflow.
Args:
submission_uuid (str): The UUID of the submission associated with this workflow.
step_names (list): The names of the assessment steps in the workflow.
on_init_params (dict): The parameters to pass to each assessment module
on init. Keys are the assessment step names.
Returns:
AssessmentWorkflow
Raises:
SubmissionNotFoundError
SubmissionRequestError
SubmissionInternalError
DatabaseError
Assessment-module specific errors
"""
submission_dict = sub_api.get_submission_and_student(submission_uuid)
staff_auto_added = False
if 'staff' not in step_names:
staff_auto_added = True
new_list = ['staff']
new_list.extend(step_names)
step_names = new_list
# Create the workflow and step models in the database
# For now, set the status to waiting; we'll modify it later
# based on the first step in the workflow.
workflow = cls.objects.create(
submission_uuid=submission_uuid,
status=AssessmentWorkflow.STATUS.waiting,
course_id=submission_dict['student_item']['course_id'],
item_id=submission_dict['student_item']['item_id']
)
workflow_steps = [
AssessmentWorkflowStep.objects.create(
workflow=workflow, name=step, order_num=i
)
for i, step in enumerate(step_names)
]
workflow.steps.add(*workflow_steps)
# Initialize the assessment APIs
has_started_first_step = False
for step in workflow_steps:
api = step.api()
if api is not None:
# Initialize the assessment module
# We do this for every assessment module
on_init_func = getattr(api, 'on_init', lambda submission_uuid, **params: None)
on_init_func(submission_uuid, **on_init_params.get(step.name, {}))
# If we auto-added a staff step, it is optional and should be marked complete immediately
if step.name == "staff" and staff_auto_added:
step.assessment_completed_at = now()
step.save()
# For the first valid step, update the workflow status
# and notify the assessment module that it's being started
if not has_started_first_step:
# Update the workflow
workflow.status = step.name
workflow.save()
# Notify the assessment module that it's being started
on_start_func = getattr(api, 'on_start', lambda submission_uuid: None)
on_start_func(submission_uuid)
# Remember that we've already started the first step
has_started_first_step = True
# Update the workflow (in case some of the assessment modules are automatically complete)
# We do NOT pass in requirements, on the assumption that any assessment module
# that accepts requirements would NOT automatically complete.
workflow.update_from_assessments(None)
# Return the newly created workflow
return workflow
def render_staff_grade_form(self, data, suffix=''): # pylint: disable=W0613
"""
Renders a form to staff-grade the next available learner submission.
Must be course staff to render this view.
"""
# Import is placed here to avoid model import at project startup.
from openassessment.assessment.api import staff as staff_api
from submissions import api as submission_api
try:
student_item_dict = self.get_student_item_dict()
course_id = student_item_dict.get('course_id')
item_id = student_item_dict.get('item_id')
staff_id = student_item_dict['student_id']
# Note that this will check out a submission for grading by the specified staff member.
# If no submissions are available for grading, will return None.
submission_to_assess = staff_api.get_submission_to_assess(
course_id, item_id, staff_id)
if submission_to_assess is not None:
# This is posting a tracking event to the runtime.
self.runtime.publish(
self,
'openassessmentblock.get_submission_for_staff_grading', {
'type': 'full-grade',
'requesting_staff_id': staff_id,
'item_id': item_id,
'submission_returned_uuid':
submission_to_assess['uuid']
})
submission = submission_api.get_submission_and_student(
submission_to_assess['uuid'])
if submission:
anonymous_student_id = submission['student_item'][
'student_id']
submission_context = self.get_student_submission_context(
self.get_username(anonymous_student_id), submission)
# Add team info to context
submission_context['teams_enabled'] = self.teams_enabled
if self.teams_enabled:
user = self.get_real_user(anonymous_student_id)
if not user:
logger.error(
'{}: User lookuip for anonymous_user_id {} failed'
.format(self.location, anonymous_student_id))
raise ObjectDoesNotExist()
team = self.teams_service.get_team(
user, self.course_id, self.selected_teamset_id)
submission_context['team_name'] = team.name
submission_context[
'team_usernames'] = list_to_conversational_format(
[user.username for user in team.users.all()])
path = 'openassessmentblock/staff_area/oa_staff_grade_learners_assessment.html'
return self.render_assessment(path, submission_context)
return self.render_error(
self._(u"Error loading the checked out learner response."))
return self.render_error(
self.
_(u"No other learner responses are available for grading at this time."
))
except PeerAssessmentInternalError:
return self.render_error(
self._(u"Error getting staff grade information."))
