""" # Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License" # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """ import os import unittest from fastdeploy.utils import retrive_model_from_server class TestAistudioDownload(unittest.TestCase): """ Test cases for downloading models from different sources using FastDeploy utilities. """ def test_retrive_model_from_server_unsupported_source(self): """ Test case for retrieving a model from an unsupported source. """ os.environ["FD_MODEL_SOURCE"] = "UNSUPPORTED_SOURCE" os.environ["FD_MODEL_CACHE"] = "./models" model_name_or_path = "baidu/ERNIE-4.5-0.3B-PT" with self.assertRaises(ValueError): retrive_model_from_server(model_name_or_path) os.environ.clear() def test_retrive_model_from_modelscope_server_model_not_exist(self): """ Test case for retrieving a model from ModelScope server when it doesn't exist. """ os.environ["FD_MODEL_SOURCE"] = "MODELSCOPE" os.environ["FD_MODEL_CACHE"] = "./model" model_name_or_path = "non_existing_model_modelscope" with self.assertRaises(Exception): retrive_model_from_server(model_name_or_path) os.environ.clear() def test_retrive_model_from_huggingface_server_model_not_exist(self): """ Test case for retrieving a model from Hugging Face server when it doesn't exist. """ os.environ["FD_MODEL_SOURCE"] = "HUGGINGFACE" os.environ["FD_MODEL_CACHE"] = "./models" model_name_or_path = "non_existing_model_hf" with self.assertRaises(Exception): retrive_model_from_server(model_name_or_path) os.environ.clear() if __name__ == "__main__": unittest.main()