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 """ # 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)