def test_get_metrics(self):
repo_type = MODELS
mdpath = os.path.join(self.test_dir, 'mdata', repo_type, 'metadata')
specpath = os.path.join('vision-computer', 'images')
entity = 'model-ex'
m = Metadata(entity, self.test_dir, config, repo_type)
m.init()
ensure_path_exists(os.path.join(mdpath, specpath, entity))
spec_metadata_path = os.path.join(mdpath, specpath, entity, 'model-ex.spec')
shutil.copy('hdata/dataset-ex.spec', spec_metadata_path)
spec_file = yaml_load(spec_metadata_path)
spec_file[MODEL_SPEC_KEY] = deepcopy(spec_file[DATASET_SPEC_KEY])
del spec_file[DATASET_SPEC_KEY]
spec_file[MODEL_SPEC_KEY]['metrics'] = {'metric_1': 0, 'metric_2': 1}
yaml_save(spec_file, spec_metadata_path)
tag = 'vision-computer__images__model-ex__1'
sha = m.commit(spec_metadata_path, specpath)
m.tag_add(tag)
metrics = m._get_metrics(entity, sha)
test_table = PrettyTable()
test_table.field_names = ['Name', 'Value']
test_table.align['Name'] = 'l'
test_table.align['Value'] = 'l'
test_table.add_row(['metric_1', 0])
test_table.add_row(['metric_2', 1])
test_metrics = '\nmetrics:\n{}'.format(test_table.get_string())
self.assertEqual(metrics, test_metrics)
def test_get_metrics_without_metrics(self):
repo_type = MODELS
mdpath = os.path.join(self.test_dir, 'mdata', repo_type, 'metadata')
specpath = os.path.join('vision-computer', 'images')
entity = 'model-ex'
m = Metadata(entity, self.test_dir, config, repo_type)
m.init()
ensure_path_exists(os.path.join(mdpath, specpath, entity))
spec_metadata_path = os.path.join(mdpath, specpath, entity) + '/model-ex.spec'
shutil.copy('hdata/dataset-ex.spec', spec_metadata_path)
spec_file = yaml_load(spec_metadata_path)
spec_file[MODEL_SPEC_KEY] = deepcopy(spec_file[DATASET_SPEC_KEY])
del spec_file[DATASET_SPEC_KEY]
yaml_save(spec_file, spec_metadata_path)
tag = 'vision-computer__images__model-ex__1'
sha = m.commit(spec_metadata_path, specpath)
m.tag_add(tag)
metrics = m._get_metrics(entity, sha)
self.assertEqual(metrics, '')