def get_staff_path_and_context(self):
"""
Gets the path and context for the staff section of the ORA XBlock.
"""
context = {}
path = 'openassessmentblock/staff_debug/staff_debug.html'
student_item = self.get_student_item_dict()
# We need to display the new-style locations in the course staff
# info, even if we're using old-style locations internally,
# so course staff can use the locations to delete student state.
context['item_id'] = student_item["item_id"]
# Calculate how many students are in each step of the workflow
status_counts, num_submissions = self.get_workflow_status_counts()
context['status_counts'] = status_counts
context['num_submissions'] = num_submissions
# Show the schedule training button if example based assessment is
# configured, and the current user has admin privileges.
example_based_assessment = self.get_assessment_module(
'example-based-assessment')
display_ai_staff_info = (self.is_admin
and bool(example_based_assessment)
and not self.in_studio_preview)
context['display_schedule_training'] = display_ai_staff_info
context['display_reschedule_unfinished_tasks'] = display_ai_staff_info
if display_ai_staff_info:
context['classifierset'] = ai_api.get_classifier_set_info(
create_rubric_dict(self.prompts,
self.rubric_criteria_with_labels),
example_based_assessment['algorithm_id'],
student_item['course_id'], student_item['item_id'])
# Include release/due dates for each step in the problem
context['step_dates'] = list()
# Include Latex setting
context['allow_latex'] = self.allow_latex
steps = ['submission'] + self.assessment_steps
for step in steps:
if step == 'example-based-assessment':
continue
# Get the dates as a student would see them
__, __, start_date, due_date = self.is_closed(step=step,
course_staff=False)
context['step_dates'].append({
'step':
step,
'start':
start_date if start_date > DISTANT_PAST else None,
'due':
due_date if due_date < DISTANT_FUTURE else None,
})
return path, context
def get_staff_path_and_context(self):
"""
Gets the path and context for the staff section of the ORA XBlock.
"""
context = {}
path = 'openassessmentblock/staff_debug/staff_debug.html'
student_item = self.get_student_item_dict()
# We need to display the new-style locations in the course staff
# info, even if we're using old-style locations internally,
# so course staff can use the locations to delete student state.
context['item_id'] = student_item["item_id"]
# Calculate how many students are in each step of the workflow
status_counts, num_submissions = self.get_workflow_status_counts()
context['status_counts'] = status_counts
context['num_submissions'] = num_submissions
# Show the schedule training button if example based assessment is
# configured, and the current user has admin privileges.
example_based_assessment = self.get_assessment_module('example-based-assessment')
display_ai_staff_info = (
self.is_admin and
bool(example_based_assessment) and
not self.in_studio_preview
)
context['display_schedule_training'] = display_ai_staff_info
context['display_reschedule_unfinished_tasks'] = display_ai_staff_info
if display_ai_staff_info:
context['classifierset'] = ai_api.get_classifier_set_info(
create_rubric_dict(self.prompt, self.rubric_criteria_with_labels),
example_based_assessment['algorithm_id'],
student_item['course_id'],
student_item['item_id']
)
# Include release/due dates for each step in the problem
context['step_dates'] = list()
# Include Latex setting
context['allow_latex'] = self.allow_latex
steps = ['submission'] + self.assessment_steps
for step in steps:
if step == 'example-based-assessment':
continue
# Get the dates as a student would see them
__, __, start_date, due_date = self.is_closed(step=step, course_staff=False)
context['step_dates'].append({
'step': step,
'start': start_date if start_date > DISTANT_PAST else None,
'due': due_date if due_date < DISTANT_FUTURE else None,
})
return path, context
def test_multiple_classifier_sets(self):
# Train multiple classifiers
ai_api.train_classifiers(RUBRIC, EXAMPLES, 'test_course', 'test_item',
ALGORITHM_ID)
second_uuid = ai_api.train_classifiers(RUBRIC, EXAMPLES, 'test_course',
'test_item', ALGORITHM_ID)
# Expect that we get the info for the second classifier
classifier_info = ai_api.get_classifier_set_info(
RUBRIC, ALGORITHM_ID, 'test_course', 'test_item')
workflow = AITrainingWorkflow.objects.get(uuid=second_uuid)
classifier_set = workflow.classifier_set
self.assertEqual(classifier_info['created_at'],
classifier_set.created_at)
def test_multiple_classifier_sets(self):
# Train multiple classifiers
ai_api.train_classifiers(
RUBRIC, EXAMPLES, 'test_course', 'test_item', ALGORITHM_ID
)
second_uuid = ai_api.train_classifiers(
RUBRIC, EXAMPLES, 'test_course', 'test_item', ALGORITHM_ID
)
# Expect that we get the info for the second classifier
classifier_info = ai_api.get_classifier_set_info(
RUBRIC, ALGORITHM_ID, 'test_course', 'test_item'
)
workflow = AITrainingWorkflow.objects.get(uuid=second_uuid)
classifier_set = workflow.classifier_set
self.assertEqual(classifier_info['created_at'], classifier_set.created_at)
def test_classifier_set_info(self):
workflow_uuid = ai_api.train_classifiers(RUBRIC, EXAMPLES,
'test_course', 'test_item',
ALGORITHM_ID)
classifier_info = ai_api.get_classifier_set_info(
RUBRIC, ALGORITHM_ID, 'test_course', 'test_item')
# Retrieve the classifier set so we can get its actual creation date
workflow = AITrainingWorkflow.objects.get(uuid=workflow_uuid)
classifier_set = workflow.classifier_set
expected_info = {
'created_at': classifier_set.created_at,
'algorithm_id': ALGORITHM_ID,
'course_id': 'test_course',
'item_id': 'test_item'
}
self.assertEqual(classifier_info, expected_info)
def test_classifier_set_info(self):
workflow_uuid = ai_api.train_classifiers(
RUBRIC, EXAMPLES, 'test_course', 'test_item', ALGORITHM_ID
)
classifier_info = ai_api.get_classifier_set_info(
RUBRIC, ALGORITHM_ID, 'test_course', 'test_item'
)
# Retrieve the classifier set so we can get its actual creation date
workflow = AITrainingWorkflow.objects.get(uuid=workflow_uuid)
classifier_set = workflow.classifier_set
expected_info = {
'created_at': classifier_set.created_at,
'algorithm_id': ALGORITHM_ID,
'course_id': 'test_course',
'item_id': 'test_item'
}
self.assertEqual(classifier_info, expected_info)
def test_invalid_rubric_error(self):
invalid_rubric = {}
ai_api.get_classifier_set_info(invalid_rubric, ALGORITHM_ID,
'test_course', 'test_item')
def test_database_error(self, mock_call):
mock_call.side_effect = DatabaseError('OH NO!')
ai_api.get_classifier_set_info(RUBRIC, ALGORITHM_ID, 'test_course',
'test_item')
def test_no_classifier_set(self):
classifier_info = ai_api.get_classifier_set_info(
RUBRIC, ALGORITHM_ID, 'test_course', 'test_item')
self.assertIs(classifier_info, None)
def test_invalid_rubric_error(self):
invalid_rubric = {}
ai_api.get_classifier_set_info(invalid_rubric, ALGORITHM_ID, 'test_course', 'test_item')
def test_database_error(self, mock_call):
mock_call.side_effect = DatabaseError('OH NO!')
ai_api.get_classifier_set_info(
RUBRIC, ALGORITHM_ID, 'test_course', 'test_item'
)
def test_no_classifier_set(self):
classifier_info = ai_api.get_classifier_set_info(
RUBRIC, ALGORITHM_ID, 'test_course', 'test_item'
)
self.assertIs(classifier_info, None)