def test_upload_embeddings_with_tags(self):
"""Make sure upload of embeddings works.
"""
self.setup(n_data=100)
def get_tags_callback(request):
return (200, [], json.dumps(['tag_1', 'tag_2']))
def get_embs_callback(request):
return (200, [], json.dumps([{'name': 'not_default'}]))
def post_embedding_callback(request):
return (200, [], json.dumps({}))
responses.add_callback(responses.GET,
self.tag_url,
callback=get_tags_callback,
content_type='application/json')
responses.add_callback(
responses.GET,
f'{self.emb_url}/?token={self.token}&mode=summaries',
callback=get_embs_callback,
content_type='application/json')
responses.add_callback(responses.POST,
self.emb_url,
callback=post_embedding_callback,
content_type='application/json')
upload_embeddings_from_csv(self.path_to_embeddings,
dataset_id=self.dataset_id,
token=self.token)
def test_upload_embeddings_tag_exists(self):
"""
"""
self.setup(n_data=10000)
def get_tags_callback(request):
return (200, [], json.dumps(['tag_1']))
def get_embs_callback(request):
return (200, [], json.dumps([{'name': 'default'}]))
responses.add_callback(responses.GET,
self.tag_url,
callback=get_tags_callback,
content_type='application/json')
responses.add_callback(
responses.GET,
f'{self.emb_url}/?token={self.token}&mode=summaries',
callback=get_embs_callback,
content_type='application/json')
with self.assertRaises(RuntimeError):
success = upload_embeddings_from_csv(self.path_to_embeddings,
dataset_id=self.dataset_id,
token=self.token)
def _upload_cli(cfg, is_cli_call=True):
input_dir = cfg['input_dir']
if input_dir and is_cli_call:
input_dir = fix_input_path(input_dir)
path_to_embeddings = cfg['embeddings']
if path_to_embeddings and is_cli_call:
path_to_embeddings = fix_input_path(path_to_embeddings)
dataset_id = cfg['dataset_id']
token = cfg['token']
size = cfg['resize']
if not isinstance(size, int):
size = tuple(size)
if not token or not dataset_id:
print('Please specify your access token and dataset id.')
print('For help, try: lightly-upload --help')
return
if input_dir:
mode = cfg['upload']
try:
upload_images_from_folder(input_dir,
dataset_id,
token,
mode=mode,
size=size)
except (ValueError, ConnectionRefusedError) as error:
msg = f'Error: {error}'
print(msg)
exit(0)
if path_to_embeddings:
max_upload = cfg['emb_upload_bsz']
upload_embeddings_from_csv(path_to_embeddings,
dataset_id,
token,
max_upload=max_upload,
embedding_name=cfg['embedding_name'])
def test_upload_embeddings_no_tags(self):
"""Make sure upload of embeddings works.
"""
self.setup(n_data=10000)
def get_tags_callback(request):
return (200, [], json.dumps([]))
responses.add_callback(responses.GET,
self.tag_url,
callback=get_tags_callback,
content_type='application/json')
with self.assertRaises(RuntimeError):
success = upload_embeddings_from_csv(self.path_to_embeddings,
dataset_id=self.dataset_id,
token=self.token)
