def update_database_results(self, session):
"""Update the database with the results of ramp_test_submission."""
make_update_leaderboard = False
while not self._processed_submission_queue.empty():
make_update_leaderboard = True
submission_id, submission_name = \
self._processed_submission_queue.get_nowait()
if 'error' in get_submission_state(session, submission_id):
continue
logger.info('Write info in database for submission {}'.format(
submission_name))
path_predictions = os.path.join(
self._worker_config['predictions_dir'], submission_name)
# NOTE: In the past we were adding the predictions into the
# database. Since they require too much space, we stop to store
# them in the database and instead, keep it onto the disk.
# set_predictions(session, submission_id, path_predictions)
set_time(session, submission_id, path_predictions)
set_scores(session, submission_id, path_predictions)
set_bagged_scores(session, submission_id, path_predictions)
set_submission_state(session, submission_id, 'scored')
if make_update_leaderboard:
logger.info('Update all leaderboards')
update_leaderboards(session, self._ramp_config['event_name'])
update_all_user_leaderboards(session,
self._ramp_config['event_name'])
def update_database_results(self, session):
"""Update the database with the results of ramp_test_submission."""
while not self._processed_submission_queue.empty():
submission_id, submission_name = \
self._processed_submission_queue.get_nowait()
if 'error' in get_submission_state(session, submission_id):
update_leaderboards(session, self._ramp_config['event_name'])
update_all_user_leaderboards(session,
self._ramp_config['event_name'])
logger.info('Skip update for {} due to failure during the '
'processing'.format(submission_name))
continue
logger.info('Update the results obtained on each fold for '
'{}'.format(submission_name))
path_predictions = os.path.join(
self._worker_config['predictions_dir'], submission_name
)
set_predictions(session, submission_id, path_predictions)
set_time(session, submission_id, path_predictions)
set_scores(session, submission_id, path_predictions)
set_bagged_scores(session, submission_id, path_predictions)
set_submission_state(session, submission_id, 'scored')
update_leaderboards(session, self._ramp_config['event_name'])
update_all_user_leaderboards(session,
self._ramp_config['event_name'])
def test_check_time(session_scope_module):
# check both set_time and get_time function
submission_id = 1
path_results = os.path.join(HERE, 'data', 'iris_predictions')
set_time(session_scope_module, submission_id, path_results)
submission_time = get_time(session_scope_module, submission_id)
expected_df = pd.DataFrame({
'fold': [0, 1],
'train': [0.032130, 0.002414],
'valid': [0.000583648681640625, 0.000548362731933594],
'test': [0.000515460968017578, 0.000481128692626953]
}).set_index('fold')
assert_frame_equal(submission_time, expected_df, check_less_precise=True)
def update_database_results(self, session):
"""Update the database with the results of ramp_test_submission."""
make_update_leaderboard = False
while not self._processed_submission_queue.empty():
make_update_leaderboard = True
submission_id, submission_name = \
self._processed_submission_queue.get_nowait()
if 'error' in get_submission_state(session, submission_id):
continue
logger.info('Write info in data base for submission {}'.format(
submission_name))
path_predictions = os.path.join(
self._worker_config['predictions_dir'], submission_name)
set_predictions(session, submission_id, path_predictions)
set_time(session, submission_id, path_predictions)
set_scores(session, submission_id, path_predictions)
set_bagged_scores(session, submission_id, path_predictions)
set_submission_state(session, submission_id, 'scored')
if make_update_leaderboard:
logger.info('Update all leaderboards')
update_leaderboards(session, self._ramp_config['event_name'])
update_all_user_leaderboards(session,
self._ramp_config['event_name'])