mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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luukunn
86 lines
3.1 KiB
Python
86 lines
3.1 KiB
Python
# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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Tests for InputPreprocessor.create_processor().
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Why mock:
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- ModelConfig, ReasoningParserManager, ToolParserManager, and concrete processor
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classes all depend on model files or external resources not available in tests.
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We mock them at the import boundary to test InputPreprocessor's routing logic.
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"""
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import unittest
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from types import SimpleNamespace
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from unittest.mock import MagicMock, patch
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def _make_model_config(arch, enable_mm=False):
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cfg = SimpleNamespace(
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model="test_model",
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architectures=[arch],
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enable_mm=enable_mm,
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)
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return cfg
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class TestInputPreprocessorBranching(unittest.TestCase):
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"""Test that create_processor picks the right processor class based on architecture and flags."""
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def test_init_stores_params(self):
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from fastdeploy.input.preprocess import InputPreprocessor
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config = _make_model_config("LlamaForCausalLM")
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pp = InputPreprocessor(
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model_config=config,
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reasoning_parser="qwen3",
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tool_parser="ernie_x1",
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limit_mm_per_prompt={"image": 2},
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)
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self.assertEqual(pp.model_name_or_path, "test_model")
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self.assertEqual(pp.reasoning_parser, "qwen3")
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self.assertEqual(pp.tool_parser, "ernie_x1")
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self.assertEqual(pp.limit_mm_per_prompt, {"image": 2})
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def test_create_processor_text_normal_path(self):
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"""Normal path: non-Ernie, non-MM arch creates a TextProcessor."""
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from fastdeploy.input.preprocess import InputPreprocessor
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config = _make_model_config("LlamaForCausalLM", enable_mm=False)
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pp = InputPreprocessor(model_config=config)
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mock_dp = MagicMock()
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with (
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patch.dict("sys.modules", {"fastdeploy.plugins": None, "fastdeploy.plugins.input_processor": None}),
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patch("fastdeploy.input.text_processor.TextProcessor", return_value=mock_dp),
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):
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pp.create_processor()
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self.assertIs(pp.processor, mock_dp)
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def test_unsupported_mm_arch_raises(self):
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"""When enable_mm=True and arch is unrecognized, should raise ValueError."""
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from fastdeploy.input.preprocess import InputPreprocessor
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config = _make_model_config("UnknownMMArch", enable_mm=True)
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pp = InputPreprocessor(model_config=config)
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with patch.dict("sys.modules", {"fastdeploy.plugins": None, "fastdeploy.plugins.input_processor": None}):
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with self.assertRaises(ValueError):
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pp.create_processor()
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if __name__ == "__main__":
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unittest.main()
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