def test_no_score(self):
# Test that no score has been created, and get_score returns None.
ai_api.on_init(self.submission_uuid,
rubric=RUBRIC,
algorithm_id=ALGORITHM_ID)
score = ai_api.get_score(self.submission_uuid, {})
self.assertIsNone(score)
def test_grade_essay(self):
# Schedule a grading task
# Because Celery is configured in "always eager" mode, this will
# be executed synchronously.
ai_api.on_init(self.submission_uuid, rubric=RUBRIC, algorithm_id=ALGORITHM_ID)
# Verify that we got the scores we provided to the stub AI algorithm
assessment = ai_api.get_latest_assessment(self.submission_uuid)
for part in assessment['parts']:
criterion_name = part['option']['criterion']['name']
expected_score = self.CLASSIFIER_SCORE_OVERRIDES[criterion_name]['score_override']
self.assertEqual(part['option']['points'], expected_score)
score = ai_api.get_score(self.submission_uuid, {})
self.assertEquals(score["points_possible"], 4)
self.assertEquals(score["points_earned"], 3)
def test_grade_essay(self):
# Schedule a grading task
# Because Celery is configured in "always eager" mode, this will
# be executed synchronously.
ai_api.on_init(self.submission_uuid,
rubric=RUBRIC,
algorithm_id=ALGORITHM_ID)
# Verify that we got the scores we provided to the stub AI algorithm
assessment = ai_api.get_latest_assessment(self.submission_uuid)
for part in assessment['parts']:
criterion_name = part['option']['criterion']['name']
expected_score = self.CLASSIFIER_SCORE_OVERRIDES[criterion_name][
'score_override']
self.assertEqual(part['option']['points'], expected_score)
score = ai_api.get_score(self.submission_uuid, {})
self.assertEquals(score["points_possible"], 4)
self.assertEquals(score["points_earned"], 3)
def test_no_score(self):
# Test that no score has been created, and get_score returns None.
ai_api.on_init(self.submission_uuid, rubric=RUBRIC, algorithm_id=ALGORITHM_ID)
score = ai_api.get_score(self.submission_uuid, {})
self.assertIsNone(score)
