def setUp(self):
"""
Create a submission.
"""
submission = sub_api.create_submission(STUDENT_ITEM, ANSWER)
training_api.on_start(submission['uuid'])
self.submission_uuid = submission['uuid']
def setUp(self):
"""
Create a submission.
"""
submission = sub_api.create_submission(STUDENT_ITEM, ANSWER)
training_api.on_start(submission['uuid'])
self.submission_uuid = submission['uuid']
def setUp(self):
"""
Create a submission.
"""
super(StudentTrainingAssessmentTest, self).setUp()
submission = sub_api.create_submission(STUDENT_ITEM, ANSWER)
training_api.on_start(submission['uuid'])
self.submission_uuid = submission['uuid']
def test_submitter_is_finished_num_queries(self):
# Complete the first training example
training_api.on_start(self.submission_uuid)
training_api.get_training_example(self.submission_uuid, RUBRIC, EXAMPLES)
training_api.assess_training_example(self.submission_uuid, EXAMPLES[0]['options_selected'])
# Check whether we've completed the requirements
requirements = {'num_required': 2}
with self.assertNumQueries(2):
training_api.submitter_is_finished(self.submission_uuid, requirements)
def test_submitter_is_finished_num_queries(self):
# Complete the first training example
training_api.on_start(self.submission_uuid)
training_api.get_training_example(self.submission_uuid, RUBRIC, EXAMPLES)
training_api.assess_training_example(self.submission_uuid, EXAMPLES[0]['options_selected'])
# Check whether we've completed the requirements
requirements = {'num_required': 2}
with self.assertNumQueries(2):
training_api.submitter_is_finished(self.submission_uuid, requirements)
def _warm_cache(self, rubric, examples):
"""
Create a submission and complete student training.
This will populate the cache with training examples and rubrics,
which are immutable and shared for all students training on a particular problem.
Args:
rubric (dict): Serialized rubric model.
examples (list of dict): Serialized training examples
Returns:
None
"""
pre_submission = sub_api.create_submission(STUDENT_ITEM, ANSWER)
training_api.on_start(pre_submission['uuid'])
for example in examples:
training_api.get_training_example(pre_submission['uuid'], rubric, examples)
training_api.assess_training_example(pre_submission['uuid'], example['options_selected'])
def _warm_cache(self, rubric, examples):
"""
Create a submission and complete student training.
This will populate the cache with training examples and rubrics,
which are immutable and shared for all students training on a particular problem.
Args:
rubric (dict): Serialized rubric model.
examples (list of dict): Serialized training examples
Returns:
None
"""
pre_submission = sub_api.create_submission(STUDENT_ITEM, ANSWER)
training_api.on_start(pre_submission['uuid'])
for example in examples:
training_api.get_training_example(pre_submission['uuid'], rubric, examples)
training_api.assess_training_example(pre_submission['uuid'], example['options_selected'])
