def test_check_log_for_errors(self):
logfile = os.path.join(TESTS_DIR,
'assets/20131007_devstack_export.log')
with open(os.path.join(TESTS_DIR,
'datasets/some_dataset_example/config.json'),
'r') as config_stream:
dataset_config = json.load(config_stream)
gitpath = ''
handle_results.find_schemas = lambda x: [123]
result, msg = handle_results.check_log_for_errors(logfile, gitpath,
dataset_config)
self.assertFalse(result)
self.assertEqual(msg,
'Final schema version does not match expectation')
handle_results.find_schemas = lambda x: [228]
result, msg = handle_results.check_log_for_errors(logfile, gitpath,
dataset_config)
self.assertTrue(result)
self.assertEqual(msg, 'SUCCESS')
dataset_config['maximum_migration_times']['152'] = 3
result, msg = handle_results.check_log_for_errors(logfile, gitpath,
dataset_config)
self.assertFalse(result)
self.assertEqual(msg, ('WARNING: Migration 152 took too long, '
'WARNING: Migration 152 took too long'))
dataset_config['maximum_migration_times']['152'] = 10
result, msg = handle_results.check_log_for_errors(logfile, gitpath,
dataset_config)
self.assertTrue(result)
self.assertEqual(msg, 'SUCCESS')
def _check_all_dataset_logs_for_errors(self):
self.log.debug("Check logs for errors")
success = True
for i, dataset in enumerate(self.job_datasets):
# Look for the beginning of the migration start
dataset_success, message = \
handle_results.check_log_for_errors(
dataset['job_log_file_path'], self.git_path,
dataset['config'])
self.job_datasets[i]['result'] = message
success = False if not dataset_success else success
if success:
self.work_data['result'] = "SUCCESS"
else:
self.work_data['result'] = "Failed: errors found in dataset log(s)"
