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6037dd5d9c
* multi-source download * multi-source download * huggingface download revision * requirement * style * add revision arg * test * pre-commit * Change default download * change requirements.txt * modify English Documentation * documentation * modify model download path * add requirements * error optimization * 连接失败兜底 * 连接失败兜底 * 连接失败兜底 * unit test * unit test * unit test * test * test * 兜底修改 * Trigger CI
56 lines
1.7 KiB
Python
56 lines
1.7 KiB
Python
import os
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import unittest
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from fastdeploy.utils import retrive_model_from_server
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class TestAistudioDownload(unittest.TestCase):
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"""
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Test cases for downloading models from different sources using FastDeploy utilities.
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"""
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def test_retrive_model_from_server_unsupported_source(self):
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"""
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Test case for retrieving a model from an unsupported source.
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"""
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os.environ["FD_MODEL_SOURCE"] = "UNSUPPORTED_SOURCE"
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os.environ["FD_MODEL_CACHE"] = "./models"
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model_name_or_path = "baidu/ERNIE-4.5-0.3B-PT"
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with self.assertRaises(ValueError):
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retrive_model_from_server(model_name_or_path)
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os.environ.clear()
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def test_retrive_model_from_modelscope_server_model_not_exist(self):
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"""
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Test case for retrieving a model from ModelScope server when it doesn't exist.
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"""
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os.environ["FD_MODEL_SOURCE"] = "MODELSCOPE"
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os.environ["FD_MODEL_CACHE"] = "./model"
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model_name_or_path = "non_existing_model_modelscope"
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with self.assertRaises(Exception):
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retrive_model_from_server(model_name_or_path)
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os.environ.clear()
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def test_retrive_model_from_huggingface_server_model_not_exist(self):
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"""
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Test case for retrieving a model from Hugging Face server when it doesn't exist.
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"""
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os.environ["FD_MODEL_SOURCE"] = "HUGGINGFACE"
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os.environ["FD_MODEL_CACHE"] = "./models"
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model_name_or_path = "non_existing_model_hf"
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with self.assertRaises(Exception):
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retrive_model_from_server(model_name_or_path)
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os.environ.clear()
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if __name__ == "__main__":
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unittest.main()
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