def submission_enqueue_operations(self, submission):
"""Push in queue the operations required by a submission.
submission (Submission): a submission.
return (int): the number of actually enqueued operations.
"""
new_operations = 0
for dataset in get_datasets_to_judge(submission.task):
submission_result = submission.get_result(dataset)
number_of_operations = 0
for operation, priority, timestamp in submission_get_operations(
submission_result, submission, dataset):
number_of_operations += 1
if self.enqueue(operation, priority, timestamp):
new_operations += 1
# If we got 0 operations, but the submission result is to
# evaluate, it means that we just need to finalize the
# evaluation.
if number_of_operations == 0 and submission_to_evaluate(
submission_result):
logger.info("Result %d(%d) has already all evaluations, "
"finalizing it.", submission.id, dataset.id)
submission_result.set_evaluation_outcome()
submission_result.sa_session.commit()
self.evaluation_ended(submission_result)
return new_operations
def submission_enqueue_operations(self, submission):
"""Push in queue the operations required by a submission.
submission (Submission): a submission.
return (int): the number of actually enqueued operations.
"""
new_operations = 0
for dataset in get_datasets_to_judge(submission.task):
submission_result = submission.get_result(dataset)
number_of_operations = 0
for operation, priority, timestamp in submission_get_operations(
submission_result, submission, dataset):
number_of_operations += 1
if self.enqueue(operation, priority, timestamp):
new_operations += 1
# If we got 0 operations, but the submission result is to
# evaluate, it means that we just need to finalize the
# evaluation.
if number_of_operations == 0 and submission_to_evaluate(
submission_result):
logger.info(
"Result %d(%d) has already all evaluations, "
"finalizing it.", submission.id, dataset.id)
submission_result.set_evaluation_outcome()
submission_result.sa_session.commit()
self.evaluation_ended(submission_result)
return new_operations
def user_test_enqueue_operations(self, user_test):
"""Push in queue the operations required by a user test.
user_test (UserTest): a user test.
return (int): the number of actually enqueued operations.
"""
new_operations = 0
for dataset in get_datasets_to_judge(user_test.task):
for operation, priority, timestamp in user_test_get_operations(
user_test, dataset):
if self.enqueue(operation, priority, timestamp):
new_operations += 1
return new_operations
def user_test_enqueue_operations(self, user_test):
"""Push in queue the operations required by a user test.
user_test (UserTest): a user test.
return (int): the number of actually enqueued operations.
"""
new_operations = 0
for dataset in get_datasets_to_judge(user_test.task):
for operation, priority, timestamp in user_test_get_operations(
user_test, dataset):
if self.enqueue(operation, priority, timestamp):
new_operations += 1
return new_operations