def get_training_task_params(training_workflow_uuid):
"""
Retrieve the training examples and algorithm ID
associated with a training task.
Args:
training_workflow_uuid (str): The UUID of the training workflow.
Returns:
dict with keys:
* training_examples (list of dict): The examples used to train the classifiers.
* course_id (unicode): The course ID that the training task is associated with.
* item_id (unicode): Identifies the item that the AI will be training to grade.
* algorithm_id (unicode): The ID of the algorithm to use for training.
Raises:
AITrainingRequestError
AITrainingInternalError
Example usage:
>>> params = get_training_task_params('abcd1234')
>>> params['algorithm_id']
u'ease'
>>> params['training_examples']
[
{
"text": u"Example answer number one",
"scores": {
"vocabulary": 1,
"grammar": 2
}
},
{
"text": u"Example answer number two",
"scores": {
"vocabulary": 3,
"grammar": 1
}
}
]
"""
try:
workflow = AITrainingWorkflow.objects.get(uuid=training_workflow_uuid)
returned_examples = []
for example in workflow.training_examples.all():
scores = {
option.criterion.name: option.points
for option in example.options_selected.all()
}
returned_examples.append({
'text': essay_text_from_submission({'answer': example.answer}),
'scores': scores
})
return {
'training_examples': returned_examples,
'algorithm_id': workflow.algorithm_id,
'course_id': workflow.course_id,
'item_id': workflow.item_id
}
except AITrainingWorkflow.DoesNotExist:
msg = (
u"Could not retrieve AI training workflow with UUID {}"
).format(training_workflow_uuid)
raise AITrainingRequestError(msg)
except DatabaseError:
msg = (
u"An unexpected error occurred while retrieving "
u"training examples for the AI training workflow with UUID {}"
).format(training_workflow_uuid)
logger.exception(msg)
raise AITrainingInternalError(msg)
def test_essay_text_from_submission(self, input, output):
self.assertEqual(essay_text_from_submission(input), output)
def get_training_task_params(training_workflow_uuid):
"""
Retrieve the training examples and algorithm ID
associated with a training task.
Args:
training_workflow_uuid (str): The UUID of the training workflow.
Returns:
dict with keys:
* training_examples (list of dict): The examples used to train the classifiers.
* course_id (unicode): The course ID that the training task is associated with.
* item_id (unicode): Identifies the item that the AI will be training to grade.
* algorithm_id (unicode): The ID of the algorithm to use for training.
Raises:
AITrainingRequestError
AITrainingInternalError
Example usage:
>>> params = get_training_task_params('abcd1234')
>>> params['algorithm_id']
u'ease'
>>> params['training_examples']
[
{
"text": u"Example answer number one",
"scores": {
"vocabulary": 1,
"grammar": 2
}
},
{
"text": u"Example answer number two",
"scores": {
"vocabulary": 3,
"grammar": 1
}
}
]
"""
try:
workflow = AITrainingWorkflow.objects.get(uuid=training_workflow_uuid)
returned_examples = []
for example in workflow.training_examples.all():
scores = {
option.criterion.name: option.points
for option in example.options_selected.all()
}
returned_examples.append({
'text':
essay_text_from_submission({'answer': example.answer}),
'scores':
scores
})
return {
'training_examples': returned_examples,
'algorithm_id': workflow.algorithm_id,
'course_id': workflow.course_id,
'item_id': workflow.item_id
}
except AITrainingWorkflow.DoesNotExist:
msg = (u"Could not retrieve AI training workflow with UUID {}"
).format(training_workflow_uuid)
raise AITrainingRequestError(msg)
except DatabaseError:
msg = (u"An unexpected error occurred while retrieving "
u"training examples for the AI training workflow with UUID {}"
).format(training_workflow_uuid)
logger.exception(msg)
raise AITrainingInternalError(msg)
def test_essay_text_from_submission(self, input, output):
self.assertEqual(essay_text_from_submission(input), output)
