def test_staff_debug_student_info_peer_only(self, xblock):
# Simulate that we are course staff
xblock.xmodule_runtime = self._create_mock_runtime(
xblock.scope_ids.usage_id, True, False, "Bob"
)
bob_item = STUDENT_ITEM.copy()
bob_item["item_id"] = xblock.scope_ids.usage_id
# Create a submission for Bob, and corresponding workflow.
submission = sub_api.create_submission(bob_item, {'text':"Bob Answer"})
peer_api.on_start(submission["uuid"])
workflow_api.create_workflow(submission["uuid"], ['peer'])
# Create a submission for Tim, and corresponding workflow.
tim_item = bob_item.copy()
tim_item["student_id"] = "Tim"
tim_sub = sub_api.create_submission(tim_item, "Tim Answer")
peer_api.on_start(tim_sub["uuid"])
workflow_api.create_workflow(tim_sub["uuid"], ['peer', 'self'])
# Bob assesses Tim.
peer_api.get_submission_to_assess(submission['uuid'], 1)
peer_api.create_assessment(
submission["uuid"],
STUDENT_ITEM["student_id"],
ASSESSMENT_DICT['options_selected'], dict(), "",
{'criteria': xblock.rubric_criteria},
1,
)
# Now Bob should be fully populated in the student info view.
path, context = xblock.get_student_info_path_and_context("Bob")
self.assertEquals("Bob Answer", context['submission']['answer']['text'])
self.assertIsNone(context['self_assessment'])
self.assertEquals("openassessmentblock/staff_debug/student_info.html", path)
def test_staff_debug_student_info_self_only(self, xblock):
# Simulate that we are course staff
xblock.xmodule_runtime = self._create_mock_runtime(
xblock.scope_ids.usage_id, True, "Bob"
)
bob_item = STUDENT_ITEM.copy()
bob_item["item_id"] = xblock.scope_ids.usage_id
# Create a submission for Bob, and corresponding workflow.
submission = sub_api.create_submission(bob_item, {'text':"Bob Answer"})
peer_api.on_start(submission["uuid"])
workflow_api.create_workflow(submission["uuid"], ['self'])
# Bob assesses himself.
self_api.create_assessment(
submission['uuid'],
STUDENT_ITEM["student_id"],
ASSESSMENT_DICT['options_selected'],
{'criteria': xblock.rubric_criteria},
)
# Now Bob should be fully populated in the student info view.
request = namedtuple('Request', 'params')
request.params = {"student_id": "Bob"}
# Verify that we can render without error
path, context = xblock.get_student_info_path_and_context(request)
self.assertEquals("Bob Answer", context['submission']['answer']['text'])
self.assertEquals([], context['peer_assessments'])
self.assertEquals("openassessmentblock/staff_debug/student_info.html", path)
def test_staff_debug_student_info_peer_only(self, xblock):
# Simulate that we are course staff
xblock.xmodule_runtime = self._create_mock_runtime(
xblock.scope_ids.usage_id, True, False, "Bob"
)
bob_item = STUDENT_ITEM.copy()
bob_item["item_id"] = xblock.scope_ids.usage_id
# Create a submission for Bob, and corresponding workflow.
submission = sub_api.create_submission(bob_item, {'text':"Bob Answer"})
peer_api.on_start(submission["uuid"])
workflow_api.create_workflow(submission["uuid"], ['peer'])
# Create a submission for Tim, and corresponding workflow.
tim_item = bob_item.copy()
tim_item["student_id"] = "Tim"
tim_sub = sub_api.create_submission(tim_item, "Tim Answer")
peer_api.on_start(tim_sub["uuid"])
workflow_api.create_workflow(tim_sub["uuid"], ['peer', 'self'])
# Bob assesses Tim.
peer_api.get_submission_to_assess(submission['uuid'], 1)
peer_api.create_assessment(
submission["uuid"],
STUDENT_ITEM["student_id"],
ASSESSMENT_DICT['options_selected'], dict(), "",
{'criteria': xblock.rubric_criteria},
1,
)
# Now Bob should be fully populated in the student info view.
path, context = xblock.get_student_info_path_and_context("Bob")
self.assertEquals("Bob Answer", context['submission']['answer']['text'])
self.assertIsNone(context['self_assessment'])
self.assertEquals("openassessmentblock/staff_debug/student_info.html", path)
def test_cancelled_submission_peer_assessment_render_path(self, xblock):
# Test that peer assessment path should be oa_peer_cancelled.html for a cancelled submission.
# Simulate that we are course staff
xblock.xmodule_runtime = self._create_mock_runtime(
xblock.scope_ids.usage_id, True, False, "Bob"
)
bob_item = STUDENT_ITEM.copy()
bob_item["item_id"] = xblock.scope_ids.usage_id
# Create a submission for Bob, and corresponding workflow.
submission = sub_api.create_submission(bob_item, {'text': "Bob Answer"})
peer_api.on_start(submission["uuid"])
workflow_api.create_workflow(submission["uuid"], ['peer'])
requirements = {
"peer": {
"must_grade": 1,
"must_be_graded_by": 1
},
}
workflow_api.cancel_workflow(
submission_uuid=submission['uuid'],
comments="Inappropriate language",
cancelled_by_id=bob_item['student_id'],
assessment_requirements=requirements
)
xblock.submission_uuid = submission["uuid"]
path, context = xblock.peer_path_and_context(False)
self.assertEquals("openassessmentblock/peer/oa_peer_cancelled.html", path)
def _create_student_and_submission(student, answer, date=None):
new_student_item = STUDENT_ITEM.copy()
new_student_item["student_id"] = student
submission = sub_api.create_submission(new_student_item, answer, date)
peer_api.create_peer_workflow(submission["uuid"])
workflow_api.create_workflow(submission["uuid"])
return submission, new_student_item
def test_many_submissions(self):
# Create a lot of submissions
num_submissions = 234
for index in range(num_submissions):
student_item = {
'student_id': "test_user_{}".format(index),
'course_id': 'test_course',
'item_id': 'test_item',
'item_type': 'openassessment',
}
submission_text = "test submission {}".format(index)
submission = sub_api.create_submission(student_item, submission_text)
workflow_api.create_workflow(submission['uuid'], ['peer', 'self'])
# Generate a CSV file for the submissions
output_streams = self._output_streams(['submission'])
writer = CsvWriter(output_streams)
writer.write_to_csv('test_course')
# Parse the generated CSV
content = output_streams['submission'].getvalue()
rows = content.split('\n')
# Remove the first row (header) and last row (blank line)
rows = rows[1:-1]
# Check that we have the right number of rows
self.assertEqual(len(rows), num_submissions)
def test_staff_area_student_info_self_only(self, xblock):
# Simulate that we are course staff
xblock.xmodule_runtime = self._create_mock_runtime(
xblock.scope_ids.usage_id, True, False, "Bob")
xblock.runtime._services['user'] = NullUserService()
bob_item = STUDENT_ITEM.copy()
bob_item["item_id"] = xblock.scope_ids.usage_id
# Create a submission for Bob, and corresponding workflow.
submission = sub_api.create_submission(
bob_item,
prepare_submission_for_serialization(
("Bob Answer 1", "Bob Answer 2")))
peer_api.on_start(submission["uuid"])
workflow_api.create_workflow(submission["uuid"], ['self'])
# Bob assesses himself.
self_api.create_assessment(
submission['uuid'],
STUDENT_ITEM["student_id"],
ASSESSMENT_DICT['options_selected'],
ASSESSMENT_DICT['criterion_feedback'],
ASSESSMENT_DICT['overall_feedback'],
{'criteria': xblock.rubric_criteria},
)
path, context = xblock.get_student_info_path_and_context("Bob")
self.assertEquals("Bob Answer 1",
context['submission']['answer']['parts'][0]['text'])
self.assertEquals([], context['peer_assessments'])
self.assertEquals("openassessmentblock/staff_area/student_info.html",
path)
def test_staff_debug_student_info_self_only(self, xblock):
# Simulate that we are course staff
xblock.xmodule_runtime = self._create_mock_runtime(
xblock.scope_ids.usage_id, True, False, "Bob"
)
xblock.runtime._services['user'] = NullUserService()
bob_item = STUDENT_ITEM.copy()
bob_item["item_id"] = xblock.scope_ids.usage_id
# Create a submission for Bob, and corresponding workflow.
submission = sub_api.create_submission(
bob_item, prepare_submission_for_serialization(("Bob Answer 1", "Bob Answer 2"))
)
peer_api.on_start(submission["uuid"])
workflow_api.create_workflow(submission["uuid"], ['self'])
# Bob assesses himself.
self_api.create_assessment(
submission['uuid'],
STUDENT_ITEM["student_id"],
ASSESSMENT_DICT['options_selected'],
ASSESSMENT_DICT['criterion_feedback'],
ASSESSMENT_DICT['overall_feedback'],
{'criteria': xblock.rubric_criteria},
)
path, context = xblock.get_student_info_path_and_context("Bob")
self.assertEquals("Bob Answer 1", context['submission']['answer']['parts'][0]['text'])
self.assertEquals([], context['peer_assessments'])
self.assertEquals("openassessmentblock/staff_debug/student_info.html", path)
def test_staff_debug_student_info_full_workflow(self, xblock):
# Simulate that we are course staff
xblock.xmodule_runtime = self._create_mock_runtime(
xblock.scope_ids.usage_id, True, False, "Bob"
)
# Commonly chosen options for assessments
options_selected = {
"Ideas": "Good",
"Content": "Poor",
}
criterion_feedback = {
"Ideas": "Dear diary: Lots of creativity from my dream journal last night at 2 AM,",
"Content": "Not as insightful as I had thought in the wee hours of the morning!"
}
overall_feedback = "I think I should tell more people about how important worms are for the ecosystem."
bob_item = STUDENT_ITEM.copy()
bob_item["item_id"] = xblock.scope_ids.usage_id
# Create a submission for Bob, and corresponding workflow.
submission = sub_api.create_submission(bob_item, {'text':"Bob Answer"})
peer_api.on_start(submission["uuid"])
workflow_api.create_workflow(submission["uuid"], ['peer', 'self'])
# Create a submission for Tim, and corresponding workflow.
tim_item = bob_item.copy()
tim_item["student_id"] = "Tim"
tim_sub = sub_api.create_submission(tim_item, "Tim Answer")
peer_api.on_start(tim_sub["uuid"])
workflow_api.create_workflow(tim_sub["uuid"], ['peer', 'self'])
# Bob assesses Tim.
peer_api.get_submission_to_assess(submission['uuid'], 1)
peer_api.create_assessment(
submission["uuid"],
STUDENT_ITEM["student_id"],
options_selected, dict(), "",
{'criteria': xblock.rubric_criteria},
1,
)
# Bob assesses himself.
self_api.create_assessment(
submission['uuid'],
STUDENT_ITEM["student_id"],
options_selected,
criterion_feedback,
overall_feedback,
{'criteria': xblock.rubric_criteria},
)
# Now Bob should be fully populated in the student info view.
request = namedtuple('Request', 'params')
request.params = {"student_id": "Bob"}
# Verify that we can render without error
resp = xblock.render_student_info(request)
self.assertIn("bob answer", resp.body.lower())
def test_staff_debug_student_info_full_workflow(self, xblock):
# Simulate that we are course staff
xblock.xmodule_runtime = self._create_mock_runtime(
xblock.scope_ids.usage_id, True, False, "Bob"
)
# Commonly chosen options for assessments
options_selected = {
"Ideas": "Good",
"Content": "Poor",
}
criterion_feedback = {
"Ideas": "Dear diary: Lots of creativity from my dream journal last night at 2 AM,",
"Content": "Not as insightful as I had thought in the wee hours of the morning!"
}
overall_feedback = "I think I should tell more people about how important worms are for the ecosystem."
bob_item = STUDENT_ITEM.copy()
bob_item["item_id"] = xblock.scope_ids.usage_id
# Create a submission for Bob, and corresponding workflow.
submission = sub_api.create_submission(bob_item, {'text':"Bob Answer"})
peer_api.on_start(submission["uuid"])
workflow_api.create_workflow(submission["uuid"], ['peer', 'self'])
# Create a submission for Tim, and corresponding workflow.
tim_item = bob_item.copy()
tim_item["student_id"] = "Tim"
tim_sub = sub_api.create_submission(tim_item, "Tim Answer")
peer_api.on_start(tim_sub["uuid"])
workflow_api.create_workflow(tim_sub["uuid"], ['peer', 'self'])
# Bob assesses Tim.
peer_api.get_submission_to_assess(submission['uuid'], 1)
peer_api.create_assessment(
submission["uuid"],
STUDENT_ITEM["student_id"],
options_selected, dict(), "",
{'criteria': xblock.rubric_criteria},
1,
)
# Bob assesses himself.
self_api.create_assessment(
submission['uuid'],
STUDENT_ITEM["student_id"],
options_selected,
criterion_feedback,
overall_feedback,
{'criteria': xblock.rubric_criteria},
)
# Now Bob should be fully populated in the student info view.
request = namedtuple('Request', 'params')
request.params = {"student_id": "Bob"}
# Verify that we can render without error
resp = xblock.render_student_info(request)
self.assertIn("bob answer", resp.body.lower())
def test_cancel_submission_full_flow(self, xblock):
# Simulate that we are course staff
xblock.xmodule_runtime = self._create_mock_runtime(
xblock.scope_ids.usage_id, True, False, "Bob"
)
bob_item = STUDENT_ITEM.copy()
bob_item["item_id"] = xblock.scope_ids.usage_id
# Create a submission for Bob, and corresponding workflow.
submission = sub_api.create_submission(bob_item, {'text': "Bob Answer"})
peer_api.on_start(submission["uuid"])
workflow_api.create_workflow(submission["uuid"], ['peer'])
incorrect_submission_uuid = 'abc'
params = {"submission_uuid": incorrect_submission_uuid, "comments": "Inappropriate language."}
# Raise flow not found exception.
resp = self.request(xblock, 'cancel_submission', json.dumps(params), response_format='json')
self.assertIn("Error finding workflow", resp['msg'])
self.assertEqual(False, resp['success'])
# Verify that we can render without error
params = {"submission_uuid": submission["uuid"], "comments": "Inappropriate language."}
resp = self.request(xblock, 'cancel_submission', json.dumps(params), response_format='json')
self.assertIn("The student submission has been removed from peer", resp['msg'])
self.assertEqual(True, resp['success'])
def test_errors(self, error, mock_call):
# Start a workflow for the submission
workflow_api.create_workflow(self.submission_uuid, ['self'])
# The receiver should catch and log the error
mock_call.side_effect = error("OH NO!")
assessment_complete_signal.send(sender=None, submission_uuid=self.submission_uuid)
def _create_submission(item, values, types):
""" Create a submission and corresponding workflow. """
submission = sub_api.create_submission(item, values)
peer_api.on_start(submission["uuid"])
workflow_api.create_workflow(submission["uuid"], types)
return submission
def test_staff_debug_student_info_self_only(self, xblock):
# Simulate that we are course staff
xblock.xmodule_runtime = self._create_mock_runtime(
xblock.scope_ids.usage_id, True, "Bob")
bob_item = STUDENT_ITEM.copy()
bob_item["item_id"] = xblock.scope_ids.usage_id
# Create a submission for Bob, and corresponding workflow.
submission = sub_api.create_submission(bob_item,
{'text': "Bob Answer"})
peer_api.create_peer_workflow(submission["uuid"])
workflow_api.create_workflow(submission["uuid"], ['self'])
# Bob assesses himself.
self_api.create_assessment(
submission['uuid'],
STUDENT_ITEM["student_id"],
ASSESSMENT_DICT['options_selected'],
{'criteria': xblock.rubric_criteria},
)
# Now Bob should be fully populated in the student info view.
request = namedtuple('Request', 'params')
request.params = {"student_id": "Bob"}
# Verify that we can render without error
path, context = xblock.get_student_info_path_and_context(request)
self.assertEquals("Bob Answer",
context['submission']['answer']['text'])
self.assertEquals([], context['peer_assessments'])
self.assertEquals("openassessmentblock/staff_debug/student_info.html",
path)
def test_cancelled_submission_peer_assessment_render_path(self, xblock):
# Test that peer assessment path should be oa_peer_cancelled.html for a cancelled submission.
# Simulate that we are course staff
xblock.xmodule_runtime = self._create_mock_runtime(
xblock.scope_ids.usage_id, True, False, "Bob")
bob_item = STUDENT_ITEM.copy()
bob_item["item_id"] = xblock.scope_ids.usage_id
# Create a submission for Bob, and corresponding workflow.
submission = sub_api.create_submission(bob_item,
{'text': "Bob Answer"})
peer_api.on_start(submission["uuid"])
workflow_api.create_workflow(submission["uuid"], ['peer'])
requirements = {
"peer": {
"must_grade": 1,
"must_be_graded_by": 1
},
}
workflow_api.cancel_workflow(submission_uuid=submission['uuid'],
comments="Inappropriate language",
cancelled_by_id=bob_item['student_id'],
assessment_requirements=requirements)
xblock.submission_uuid = submission["uuid"]
path, context = xblock.peer_path_and_context(False)
self.assertEquals("openassessmentblock/peer/oa_peer_cancelled.html",
path)
def create_workflow(self, submission_uuid):
"""
Create a new workflow for a student submission.
Args:
submission_uuid (str): The UUID of the submission to associate
with the workflow.
Returns:
None
"""
steps = self._create_step_list()
ai_module = self.get_assessment_module('example-based-assessment')
on_init_params = {
'ai': {
'rubric':
create_rubric_dict(self.prompts,
self.rubric_criteria_with_labels),
'algorithm_id':
ai_module["algorithm_id"] if ai_module else None
}
}
workflow_api.create_workflow(submission_uuid,
steps,
on_init_params=on_init_params)
def _create_submission(item, values, types):
""" Create a submission and corresponding workflow. """
submission = sub_api.create_submission(item, values)
peer_api.on_start(submission["uuid"])
workflow_api.create_workflow(submission["uuid"], types)
return submission
def test_staff_area_student_info_with_cancelled_submission(self, xblock):
requirements = {
"peer": {
"must_grade": 1,
"must_be_graded_by": 1
},
}
# Simulate that we are course staff
xblock.xmodule_runtime = self._create_mock_runtime(
xblock.scope_ids.usage_id, True, False, "Bob")
xblock.runtime._services['user'] = NullUserService()
bob_item = STUDENT_ITEM.copy()
bob_item["item_id"] = xblock.scope_ids.usage_id
# Create a submission for Bob, and corresponding workflow.
submission = sub_api.create_submission(
bob_item,
prepare_submission_for_serialization(
("Bob Answer 1", "Bob Answer 2")))
peer_api.on_start(submission["uuid"])
workflow_api.create_workflow(submission["uuid"], ['peer'])
workflow_api.cancel_workflow(submission_uuid=submission["uuid"],
comments="Inappropriate language",
cancelled_by_id=bob_item['student_id'],
assessment_requirements=requirements)
path, context = xblock.get_student_info_path_and_context("Bob")
self.assertEquals("Bob Answer 1",
context['submission']['answer']['parts'][0]['text'])
self.assertIsNotNone(context['workflow_cancellation'])
self.assertEquals("openassessmentblock/staff_area/student_info.html",
path)
def test_staff_debug_student_info_with_cancelled_submission(self, xblock):
requirements = {
"peer": {
"must_grade": 1,
"must_be_graded_by": 1
},
}
# Simulate that we are course staff
xblock.xmodule_runtime = self._create_mock_runtime(
xblock.scope_ids.usage_id, True, False, "Bob"
)
xblock.runtime._services['user'] = NullUserService()
bob_item = STUDENT_ITEM.copy()
bob_item["item_id"] = xblock.scope_ids.usage_id
# Create a submission for Bob, and corresponding workflow.
submission = sub_api.create_submission(
bob_item, prepare_submission_for_serialization(("Bob Answer 1", "Bob Answer 2"))
)
peer_api.on_start(submission["uuid"])
workflow_api.create_workflow(submission["uuid"], ['peer'])
workflow_api.cancel_workflow(
submission_uuid=submission["uuid"],
comments="Inappropriate language",
cancelled_by_id=bob_item['student_id'],
assessment_requirements=requirements
)
path, context = xblock.get_student_info_path_and_context("Bob")
self.assertEquals("Bob Answer 1", context['submission']['answer']['parts'][0]['text'])
self.assertIsNotNone(context['workflow_cancellation'])
self.assertEquals("openassessmentblock/staff_debug/student_info.html", path)
def test_need_valid_submission_uuid(self, data):
# submission doesn't exist
with self.assertRaises(workflow_api.AssessmentWorkflowRequestError):
workflow = workflow_api.create_workflow("xxxxxxxxxxx", data["steps"])
# submission_uuid is the wrong type
with self.assertRaises(workflow_api.AssessmentWorkflowRequestError):
workflow = workflow_api.create_workflow(123, data["steps"])
def test_errors(self, error, mock_call):
# Start a workflow for the submission
workflow_api.create_workflow(self.submission_uuid, ['self'])
# The receiver should catch and log the error
mock_call.side_effect = error("OH NO!")
assessment_complete_signal.send(sender=None,
submission_uuid=self.submission_uuid)
def _create_student_and_submission(student, answer):
"""
Helper method to create a student and submission for use in tests.
"""
new_student_item = StaffGraderMixinTestBase._student_item_dict(student)
submission = sub_api.create_submission(new_student_item, answer)
workflow_api.create_workflow(submission["uuid"], ['staff'])
return submission, new_student_item
def test_ai_score_set(self, mock_score, mock_is_finished):
submission = sub_api.create_submission(ITEM_1, "Ultra Magnus fumble")
mock_is_finished.return_value = True
score = {"points_earned": 7, "points_possible": 10}
mock_score.return_value = score
workflow_api.create_workflow(submission["uuid"], ["ai"], ON_INIT_PARAMS)
workflow = workflow_api.get_workflow_for_submission(submission["uuid"], {})
self.assertEquals(workflow["score"]["points_earned"], score["points_earned"])
self.assertEquals(workflow["score"]["points_possible"], score["points_possible"])
def test_create_ai_workflow_no_rubric(self, rubric, algorithm_id):
submission = sub_api.create_submission(ITEM_1, "Shoot Hot Rod")
on_init_params = {
'ai': {
'rubric': rubric,
'algorithm_id': algorithm_id,
}
}
workflow_api.create_workflow(submission["uuid"], ["ai"], on_init_params)
def _create_submission(self, student_item_dict):
"""
Creates a submission and initializes a peer grading workflow.
"""
submission = sub_api.create_submission(student_item_dict, ANSWER)
submission_uuid = submission['uuid']
peer_api.on_start(submission_uuid)
workflow_api.create_workflow(submission_uuid, STEPS)
return submission
def test_create_ai_workflow_no_rubric(self, rubric, algorithm_id):
submission = sub_api.create_submission(ITEM_1, ANSWER_1)
on_init_params = {
'ai': {
'rubric': rubric,
'algorithm_id': algorithm_id,
}
}
workflow_api.create_workflow(submission["uuid"], ["ai"], on_init_params)
def test_ai_score_set(self, mock_score, mock_is_finished):
submission = sub_api.create_submission(ITEM_1, ANSWER_2)
mock_is_finished.return_value = True
score = {"points_earned": 7, "points_possible": 10}
mock_score.return_value = score
workflow_api.create_workflow(submission["uuid"], ["ai"], ON_INIT_PARAMS)
workflow = workflow_api.get_workflow_for_submission(submission["uuid"], {})
self.assertEquals(workflow["score"]["points_earned"], score["points_earned"])
self.assertEquals(workflow["score"]["points_possible"], score["points_possible"])
def test_unable_to_load_api(self):
submission = sub_api.create_submission({
"student_id": "test student",
"course_id": "test course",
"item_id": "test item",
"item_type": "openassessment",
}, "test answer")
with self.assertRaises(AssessmentWorkflowInternalError):
workflow_api.create_workflow(submission['uuid'], ['self'])
def test_unable_to_load_api(self):
submission = sub_api.create_submission({
"student_id": "test student",
"course_id": "test course",
"item_id": "test item",
"item_type": "openassessment",
}, "test answer")
with self.assertRaises(AssessmentWorkflowInternalError):
workflow_api.create_workflow(submission['uuid'], ['self'], ON_INIT_PARAMS)
def submit_ora_test_data(self, course_id, submissions_config):
"""
Run the submit action. For each specified submission, create the submission, create an assessment if specified,
and create a lock if specified.
"""
for ora_config in submissions_config:
log.info('Creating test submissions for course %s', course_id)
for submission_config in ora_config['submissions']:
log.info("Creating submission for user %s",
submission_config['username'])
student_item = self.student_item(submission_config['username'],
course_id,
ora_config['displayName'])
# Submissions consist of username, a line break, and then some lorem
text_response = submission_config[
'username'] + '\n' + generate_lorem_sentences()
submission = sub_api.create_submission(
student_item, {'parts': [{
'text': text_response
}]})
workflow_api.create_workflow(submission['uuid'], ['staff'])
workflow_api.update_from_assessments(submission['uuid'], None)
log.info("Created submission %s for user %s",
submission['uuid'], submission_config['username'])
if submission_config['lockOwner']:
log.info("Creating lock on submission %s owned by %s",
submission['uuid'],
submission_config['lockOwner'])
SubmissionGradingLock.claim_submission_lock(
submission['uuid'], self.username_to_anonymous_user_id[
submission_config['lockOwner']])
if submission_config['gradeData']:
grade_data = submission_config['gradeData']
log.info(
"Creating assessment from user %s for submission %s",
grade_data['gradedBy'], submission['uuid'])
block = self.display_name_to_block[
ora_config['displayName']]
rubric_dict = create_rubric_dict(
block.prompts, block.rubric_criteria_with_labels)
options_selected, criterion_feedback = self.api_format_criteria(
grade_data['criteria'], rubric_dict)
staff_api.create_assessment(
submission['uuid'],
self.username_to_anonymous_user_id[
grade_data['gradedBy']],
options_selected,
criterion_feedback,
grade_data['overallFeedback'],
rubric_dict,
)
workflow_api.update_from_assessments(
submission['uuid'], None)
def create_peer_submissions(self, student_item, peer_names, submission_text):
"""Create len(peer_names) submissions, and return them."""
returned_subs = []
for peer in peer_names:
scorer = copy.deepcopy(student_item)
scorer['student_id'] = peer
scorer_sub = submissions_api.create_submission(scorer, {'text': submission_text})
returned_subs.append(scorer_sub)
workflow_api.create_workflow(scorer_sub['uuid'], self.STEPS)
return returned_subs
def create_peer_submissions(self, student_item, peer_names, submission_text):
"""Create len(peer_names) submissions, and return them."""
returned_subs = []
for peer in peer_names:
scorer = copy.deepcopy(student_item)
scorer['student_id'] = peer
scorer_sub = submissions_api.create_submission(scorer, {'text': submission_text})
returned_subs.append(scorer_sub)
workflow_api.create_workflow(scorer_sub['uuid'], self.STEPS)
return returned_subs
def test_update_signal_updates_workflow(self):
# Start a workflow for the submission
workflow_api.create_workflow(self.submission_uuid, ['self'])
# Spy on the workflow update call
with mock.patch.object(AssessmentWorkflow, 'update_from_assessments') as mock_update:
# Send a signal to update the workflow
assessment_complete_signal.send(sender=None, submission_uuid=self.submission_uuid)
# Verify that the workflow model update was called
mock_update.assert_called_once_with(None)
def test_staff_debug_student_info_full_workflow(self, xblock):
# Simulate that we are course staff
xblock.xmodule_runtime = self._create_mock_runtime(
xblock.scope_ids.usage_id, True, False, "Bob"
)
# Commonly chosen options for assessments
options_selected = {
"Ideas": "Good",
"Content": "Poor",
}
bob_item = STUDENT_ITEM.copy()
bob_item["item_id"] = xblock.scope_ids.usage_id
# Create a submission for Bob, and corresponding workflow.
submission = sub_api.create_submission(bob_item, {'text':"Bob Answer"})
peer_api.on_start(submission["uuid"])
workflow_api.create_workflow(submission["uuid"], ['peer', 'self'])
# Create a submission for Tim, and corresponding workflow.
tim_item = bob_item.copy()
tim_item["student_id"] = "Tim"
tim_sub = sub_api.create_submission(tim_item, "Tim Answer")
peer_api.on_start(tim_sub["uuid"])
workflow_api.create_workflow(tim_sub["uuid"], ['peer', 'self'])
# Bob assesses Tim.
peer_api.get_submission_to_assess(submission['uuid'], 1)
peer_api.create_assessment(
submission["uuid"],
STUDENT_ITEM["student_id"],
options_selected, dict(), "",
{'criteria': xblock.rubric_criteria},
1,
)
# Bob assesses himself.
self_api.create_assessment(
submission['uuid'],
STUDENT_ITEM["student_id"],
options_selected,
{'criteria': xblock.rubric_criteria},
)
# Now Bob should be fully populated in the student info view.
request = namedtuple('Request', 'params')
request.params = {"student_id": "Bob"}
# Verify that we can render without error
resp = xblock.render_student_info(request)
self.assertIn("bob answer", resp.body.lower())
def create_workflow(self, submission_uuid):
"""
Create a new workflow for a student submission.
Args:
submission_uuid (str): The UUID of the submission to associate
with the workflow.
Returns:
None
"""
steps = self._create_step_list()
workflow_api.create_workflow(submission_uuid, steps)
def test_update_signal_updates_workflow(self):
# Start a workflow for the submission
workflow_api.create_workflow(self.submission_uuid, ['self'])
# Spy on the workflow update call
with mock.patch.object(AssessmentWorkflow,
'update_from_assessments') as mock_update:
# Send a signal to update the workflow
assessment_complete_signal.send(
sender=None, submission_uuid=self.submission_uuid)
# Verify that the workflow model update was called
mock_update.assert_called_once_with(None)
def create_workflow(self, submission_uuid):
"""
Create a new workflow for a student submission.
Args:
submission_uuid (str): The UUID of the submission to associate
with the workflow.
Returns:
None
"""
steps = self._create_step_list()
workflow_api.create_workflow(submission_uuid, steps, on_init_params={})
def _create_test_user(cls, identifier, user_type, create_submission=True):
""" Create a TestUser, a namedtuple with a student_id, username, and potentially a submission """
student_id = f"SWLV_{user_type}_{identifier}_student_id"
if create_submission:
student_item = cls._student_item(student_id)
submission = sub_api.create_submission(student_item, ANSWER)
workflow_api.create_workflow(submission["uuid"], ['staff'])
else:
submission = None
return TestUser(
username=f"SWLV_{user_type}_{identifier}_username",
student_id=student_id,
submission=submission,
)
def test_upload(self):
# Create an S3 bucket using the fake S3 implementation
conn = boto3.client("s3")
conn.create_bucket(Bucket=self.BUCKET_NAME)
# Create some submissions to ensure that we cover
# the progress indicator code.
for index in range(50):
student_item = {
'student_id': f"test_user_{index}",
'course_id': self.COURSE_ID,
'item_id': 'test_item',
'item_type': 'openassessment',
}
submission_text = f"test submission {index}"
submission = sub_api.create_submission(student_item,
submission_text)
workflow_api.create_workflow(submission['uuid'], ['peer', 'self'])
# Create and upload the archive of CSV files
# This should generate the files even though
# we don't have any data available.
cmd = upload_oa_data.Command()
cmd.handle(self.COURSE_ID.encode('utf-8'), self.BUCKET_NAME)
# Retrieve the uploaded file from the fake S3 implementation
self.assertEqual(len(cmd.history), 1)
bucket = conn.list_buckets()["Buckets"][0]["Name"]
key = conn.list_objects(Bucket=bucket)["Contents"][0]["Key"]
contents = BytesIO(
conn.get_object(Bucket=self.BUCKET_NAME, Key=key)["Body"].read())
# Expect that the contents contain all the expected CSV files
with tarfile.open(mode="r:gz", fileobj=contents) as tar:
file_sizes = {
member.name: member.size
for member in tar.getmembers()
}
for csv_name in self.CSV_NAMES:
self.assertIn(csv_name, file_sizes)
self.assertGreater(file_sizes[csv_name], 0)
# Expect that we generated a URL for the bucket
url = cmd.history[0]['url']
parsed_url = urlparse(url)
self.assertEqual("https", parsed_url.scheme)
self.assertIn(parsed_url.netloc,
["s3.eu-west-1.amazonaws.com", "s3.amazonaws.com"])
self.assertIn(f"/{self.BUCKET_NAME}", parsed_url.path)
def _create_student_and_submission(student, answer, date=None, problem_steps=None):
"""
Helper method to create a student and submission for use in tests.
"""
new_student_item = STUDENT_ITEM.copy()
new_student_item["student_id"] = student
submission = sub_api.create_submission(new_student_item, answer, date)
steps = []
init_params = {}
if problem_steps:
steps = problem_steps
if 'peer' in steps:
peer_api.on_start(submission["uuid"])
workflow_api.create_workflow(submission["uuid"], steps, init_params)
return submission, new_student_item
def _create_student_and_submission(student, answer, date=None, problem_steps=None):
"""
Helper method to create a student and submission for use in tests.
"""
new_student_item = STUDENT_ITEM.copy()
new_student_item["student_id"] = student
submission = sub_api.create_submission(new_student_item, answer, date)
steps = []
init_params = {}
if problem_steps:
steps = problem_steps
if 'peer' in steps:
peer_api.on_start(submission["uuid"])
workflow_api.create_workflow(submission["uuid"], steps, init_params)
return submission, new_student_item
def test_cancel_the_assessment_workflow_does_not_exist(self):
# Create the submission and assessment workflow.
submission = sub_api.create_submission(ITEM_1, ANSWER_1)
workflow = workflow_api.create_workflow(submission["uuid"], ["peer"])
requirements = {
"peer": {
"must_grade": 1,
"must_be_graded_by": 1
}
}
# Check if workflow is cancelled.
self.assertFalse(workflow_api.is_workflow_cancelled(submission["uuid"]))
self.assertNotEqual(workflow.get('status'), 'cancelled')
# Cancel the workflow raises DoesNotExist.
with self.assertRaises(workflow_api.AssessmentWorkflowError):
workflow_api.cancel_workflow(
submission_uuid="1234567098789",
comments="Inappropriate language",
cancelled_by_id=ITEM_2['student_id'],
assessment_requirements=requirements
)
# Status for workflow should not be cancelled.
workflow = AssessmentWorkflow.get_by_submission_uuid(submission["uuid"])
self.assertNotEqual(workflow.status, 'cancelled')
def test_cancel_the_assessment_workflow_does_not_exist(self):
# Create the submission and assessment workflow.
submission = sub_api.create_submission(ITEM_1, ANSWER_1)
workflow = workflow_api.create_workflow(submission["uuid"], ["peer"])
requirements = {
"peer": {
"must_grade": 1,
"must_be_graded_by": 1
}
}
# Check if workflow is cancelled.
self.assertFalse(workflow_api.is_workflow_cancelled(submission["uuid"]))
self.assertNotEqual(workflow.get('status'), 'cancelled')
# Cancel the workflow raises DoesNotExist.
with self.assertRaises(workflow_api.AssessmentWorkflowError):
workflow_api.cancel_workflow(
submission_uuid="1234567098789",
comments="Inappropriate language",
cancelled_by_id=ITEM_2['student_id'],
assessment_requirements=requirements
)
# Status for workflow should not be cancelled.
workflow = AssessmentWorkflow.get_by_submission_uuid(submission["uuid"])
self.assertNotEqual(workflow.status, 'cancelled')
def test_create_workflow(self, data):
first_step = data["steps"][0] if data["steps"] else "peer"
if "ai" in data["steps"]:
first_step = data["steps"][1] if len(
data["steps"]) > 1 else "waiting"
submission = sub_api.create_submission(ITEM_1, ANSWER_1)
workflow = workflow_api.create_workflow(submission["uuid"],
data["steps"])
workflow_keys = set(workflow.keys())
self.assertEqual(
workflow_keys, {
'submission_uuid', 'status', 'created', 'modified', 'score',
'assessment_score_priority'
})
self.assertEqual(workflow["submission_uuid"], submission["uuid"])
self.assertEqual(workflow["status"], first_step)
workflow_from_get = workflow_api.get_workflow_for_submission(
submission["uuid"], data["requirements"])
del workflow_from_get['status_details']
self.assertEqual(workflow, workflow_from_get)
# Test that the Peer Workflow is, or is not created, based on when peer
# is a step in the workflow.
if first_step == "peer":
peer_workflow = PeerWorkflow.objects.get(
submission_uuid=submission["uuid"])
self.assertIsNotNone(peer_workflow)
else:
peer_workflows = list(
PeerWorkflow.objects.filter(
submission_uuid=submission["uuid"]))
self.assertFalse(peer_workflows)
def test_create_workflow(self, data):
first_step = data["steps"][0] if data["steps"] else "peer"
submission = sub_api.create_submission(ITEM_1, "Shoot Hot Rod")
workflow = workflow_api.create_workflow(submission["uuid"], data["steps"])
workflow_keys = set(workflow.keys())
self.assertEqual(
workflow_keys,
{
'submission_uuid', 'uuid', 'status', 'created', 'modified', 'score'
}
)
self.assertEqual(workflow["submission_uuid"], submission["uuid"])
self.assertEqual(workflow["status"], first_step)
workflow_from_get = workflow_api.get_workflow_for_submission(
submission["uuid"], data["requirements"]
)
del workflow_from_get['status_details']
self.assertEqual(workflow, workflow_from_get)
# Test that the Peer Workflow is, or is not created, based on when peer
# is a step in the workflow.
if "peer" == first_step:
peer_workflow = PeerWorkflow.objects.get(submission_uuid=submission["uuid"])
self.assertIsNotNone(peer_workflow)
else:
peer_workflows = list(PeerWorkflow.objects.filter(submission_uuid=submission["uuid"]))
self.assertFalse(peer_workflows)
def test_cancel_the_assessment_workflow(self):
# Create the submission and assessment workflow.
submission = sub_api.create_submission(ITEM_1, ANSWER_1)
workflow = workflow_api.create_workflow(submission["uuid"], ["peer"])
requirements = {"peer": {"must_grade": 1, "must_be_graded_by": 1}}
# Check the workflow is not cancelled.
self.assertFalse(workflow_api.is_workflow_cancelled(
submission["uuid"]))
# Check the status is not cancelled.
self.assertNotEqual(workflow.get('status'), 'cancelled')
# Check the points_earned are not 0
self.assertNotEqual(workflow['score'], 0)
# Cancel the workflow for submission.
workflow_api.cancel_workflow(submission_uuid=submission["uuid"],
comments="Inappropriate language",
cancelled_by_id=ITEM_2['student_id'],
assessment_requirements=requirements)
# Check workflow is cancelled.
self.assertTrue(workflow_api.is_workflow_cancelled(submission["uuid"]))
# Status for workflow should be cancelled.
workflow = AssessmentWorkflow.get_by_submission_uuid(
submission["uuid"])
self.assertEqual(workflow.status, 'cancelled')
# Score points_earned should be 0.
# In case of 0 earned points the score would be None.
self.assertEqual(workflow.score, None)
def test_get_the_cancelled_workflow(self):
# Create the submission and assessment workflow.
submission = sub_api.create_submission(ITEM_1, ANSWER_1)
workflow = workflow_api.create_workflow(submission["uuid"], ["peer"])
requirements = {"peer": {"must_grade": 1, "must_be_graded_by": 1}}
# Check the workflow is not cancelled.
self.assertFalse(workflow_api.is_workflow_cancelled(
submission["uuid"]))
# Check the status is not cancelled.
self.assertNotEqual(workflow.get('status'), 'cancelled')
# Check the points_earned are not 0
self.assertNotEqual(workflow['score'], 0)
cancelled_workflow = workflow_api.get_assessment_workflow_cancellation(
submission["uuid"])
self.assertIsNone(cancelled_workflow)
# Cancel the workflow for submission.
workflow_api.cancel_workflow(submission_uuid=submission["uuid"],
comments="Inappropriate language",
cancelled_by_id=ITEM_2['student_id'],
assessment_requirements=requirements)
# Check workflow is cancelled.
self.assertTrue(workflow_api.is_workflow_cancelled(submission["uuid"]))
workflow = workflow_api.get_assessment_workflow_cancellation(
submission["uuid"])
self.assertIsNotNone(workflow)
def test_unexpected_workflow_get_errors_wrapped(self, data, mock_get):
with raises(workflow_api.AssessmentWorkflowInternalError):
mock_get.side_effect = Exception("Kaboom!")
submission = sub_api.create_submission(ITEM_1, "We talk TV!")
workflow = workflow_api.create_workflow(submission["uuid"],
data["steps"])
workflow_api.get_workflow_for_submission(workflow["uuid"], {})
def _create_workflow_with_status(self, student_id, course_id, item_id, status, answer="answer"):
"""
Create a submission and workflow with a given status.
Args:
student_id (unicode): Student ID for the submission.
course_id (unicode): Course ID for the submission.
item_id (unicode): Item ID for the submission
status (unicode): One of acceptable status values (e.g. "peer", "self", "waiting", "done")
Kwargs:
answer (unicode): Submission answer.
Returns:
None
"""
submission = sub_api.create_submission({
"student_id": student_id,
"course_id": course_id,
"item_id": item_id,
"item_type": "openassessment",
}, answer)
workflow = workflow_api.create_workflow(submission['uuid'])
workflow_model = AssessmentWorkflow.objects.get(uuid=workflow['uuid'])
workflow_model.status = status
workflow_model.save()
def _create_dummy_submission(self, student_item):
"""
Create a dummy submission for a student.
Args:
student_item (dict): Serialized StudentItem model.
Returns:
str: submission UUID
"""
answer = {'text': " ".join(loremipsum.get_paragraphs(5))}
submission = sub_api.create_submission(student_item, answer)
workflow_api.create_workflow(submission['uuid'], STEPS)
workflow_api.update_from_assessments(
submission['uuid'], {'peer': {'must_grade': 1, 'must_be_graded_by': 1}}
)
return submission['uuid']
def _setup_override_test(self, xblock, mock_score_data):
# Simulate that we are course staff
xblock.xmodule_runtime = self._create_mock_runtime(
xblock.scope_ids.usage_id, True, False, 'Bob'
)
bob_item = STUDENT_ITEM.copy()
bob_item['item_id'] = xblock.scope_ids.usage_id
# Create a submission for Bob, and corresponding workflow.
submission = sub_api.create_submission(bob_item, {'text': 'Bob Answer'})
peer_api.on_start(submission['uuid'])
workflow_api.create_workflow(submission['uuid'], ['peer'])
# Now Bob should be fully populated in the student info view.
request = namedtuple('Request', 'params')
request.params = {'student_id': 'Bob'}
return request
def test_upload(self):
# Create an S3 bucket using the fake S3 implementation
conn = boto.connect_s3()
conn.create_bucket(self.BUCKET_NAME)
# Create some submissions to ensure that we cover
# the progress indicator code.
for index in range(50):
student_item = {
'student_id': "test_user_{}".format(index),
'course_id': self.COURSE_ID,
'item_id': 'test_item',
'item_type': 'openassessment',
}
submission_text = "test submission {}".format(index)
submission = sub_api.create_submission(student_item, submission_text)
workflow_api.create_workflow(submission['uuid'], ['peer', 'self'])
# Create and upload the archive of CSV files
# This should generate the files even though
# we don't have any data available.
cmd = upload_oa_data.Command()
cmd.handle(self.COURSE_ID.encode('utf-8'), self.BUCKET_NAME)
# Retrieve the uploaded file from the fake S3 implementation
self.assertEqual(len(cmd.history), 1)
bucket = conn.get_all_buckets()[0]
key = bucket.get_key(cmd.history[0]['key'])
contents = StringIO(key.get_contents_as_string())
# Expect that the contents contain all the expected CSV files
with tarfile.open(mode="r:gz", fileobj=contents) as tar:
file_sizes = {
member.name: member.size
for member in tar.getmembers()
}
for csv_name in self.CSV_NAMES:
self.assertIn(csv_name, file_sizes)
self.assertGreater(file_sizes[csv_name], 0)
# Expect that we generated a URL for the bucket
url = cmd.history[0]['url']
self.assertIn("https://{}".format(self.BUCKET_NAME), url)
def create_workflow(self, submission_uuid):
"""
Create a new workflow for a student submission.
Args:
submission_uuid (str): The UUID of the submission to associate
with the workflow.
Returns:
None
"""
steps = self._create_step_list()
ai_module = self.get_assessment_module('example-based-assessment')
on_init_params = {
'ai': {
'rubric': create_rubric_dict(self.prompt, self.rubric_criteria_with_labels),
'algorithm_id': ai_module["algorithm_id"] if ai_module else None
}
}
workflow_api.create_workflow(submission_uuid, steps, on_init_params=on_init_params)
def create_submission(self, student_item_dict, student_sub):
# Store the student's response text in a JSON-encodable dict
# so that later we can add additional response fields.
student_sub_dict = {'text': student_sub}
submission = api.create_submission(student_item_dict, student_sub_dict)
workflow_api.create_workflow(submission["uuid"])
self.submission_uuid = submission["uuid"]
# Emit analytics event...
self.runtime.publish(
self,
"openassessmentblock.create_submission",
{
"submission_uuid": submission["uuid"],
"attempt_number": submission["attempt_number"],
"created_at": submission["created_at"],
"submitted_at": submission["submitted_at"],
"answer": submission["answer"],
}
)
return submission
def test_create_workflow(self):
submission = sub_api.create_submission(ITEM_1, "Shoot Hot Rod")
workflow = workflow_api.create_workflow(submission["uuid"])
workflow_keys = set(workflow.keys())
self.assertEqual(
workflow_keys,
{
'submission_uuid', 'uuid', 'status', 'created', 'modified', 'score'
}
)
self.assertEqual(workflow["submission_uuid"], submission["uuid"])
self.assertEqual(workflow["status"], "peer")
workflow_from_get = workflow_api.get_workflow_for_submission(
submission["uuid"], REQUIREMENTS
)
del workflow_from_get['status_details']
self.assertEqual(workflow, workflow_from_get)
