import unittest from unittest.mock import MagicMock, patch from fastdeploy.input.ernie4_5_processor import Ernie4_5Processor class TestErnie4_5ProcessorProcessResponseDictStreaming(unittest.TestCase): def setUp(self): # 创建 Ernie4_5Processor 实例的模拟对象 with patch.object(Ernie4_5Processor, "__init__", return_value=None) as mock_init: self.processor = Ernie4_5Processor("model_path") mock_init.side_effect = lambda *args, **kwargs: print(f"__init__ called with {args}, {kwargs}") # 设置必要的属性 self.processor.tokenizer = MagicMock() self.processor.tokenizer.eos_token_id = 1 self.processor.decode_status = {} self.processor.reasoning_end_dict = {} self.processor.tool_parser_dict = {} self.processor.generation_config = MagicMock() self.processor.eos_token_ids = [1] self.processor.reasoning_parser = MagicMock() # 模拟 ids2tokens 方法 def mock_ids2tokens(token_ids, task_id): self.processor.decode_status[task_id] = "mock_decode_status" return "delta_text", [2, 3], "previous_texts" self.processor.ids2tokens = mock_ids2tokens def mock_messages2ids(request, **kwargs): if "chat_template" in kwargs: return [1] else: return [0] def mock_apply_default_parameters(request): return request self.processor.messages2ids = mock_messages2ids self.processor._apply_default_parameters = mock_apply_default_parameters # 模拟推理解析器 self.mock_reasoning_parser = MagicMock() self.mock_reasoning_parser.__class__.__name__ = "ErnieX1ReasoningParser" # self.mock_reasoning_parser.extract_reasoning_content_streaming.return_value = ("reasoning", "text") self.processor.reasoning_parser = self.mock_reasoning_parser # 模拟工具解析器 self.mock_tool_parser = MagicMock() self.mock_tool_parser.extract_tool_calls_streaming.return_value = None self.mock_tool_parser_obj = MagicMock() self.mock_tool_parser_obj.return_value = self.mock_tool_parser self.processor.tool_parser_obj = self.mock_tool_parser_obj def test_process_response_dict_streaming_normal_case(self): """测试正常情况下的流式响应处理""" # 准备输入 response_dict = {"finished": False, "request_id": "req1", "outputs": {"token_ids": [4, 5]}} kwargs = {"enable_thinking": True} # 调用方法 result = self.processor.process_response_dict_streaming(response_dict, **kwargs) # 验证结果 self.assertEqual(result["outputs"]["completion_tokens"], "delta_text") def test_process_request_dict(self): request_dict = { "messages": [{"role": "user", "content": "Hello!"}], "chat_template_kwargs": {"chat_template": "Hello!"}, "eos_token_ids": [1], "temperature": 1, "top_p": 1, } result = self.processor.process_request_dict(request_dict, 100) self.assertEqual(result["prompt_token_ids"], [1]) def test_process_response_dict_normal(self): mock_tokens = ["reasoning", "token", "list"] self.processor.tokenizer.tokenize = MagicMock(return_value=mock_tokens) self.processor.reasoning_parser.extract_reasoning_content = MagicMock( return_value=("Mock reasoning content", "Mock final text") ) self.processor.tool_parser_obj = None response_dict = { "request_id": "request-id_0", "outputs": {"token_ids": [2, 3, 4, 5, 1], "text": "Initial text", "top_logprobs": []}, "finish_reason": "stop", "finished": True, } kwargs = {"enable_thinking": True} with patch("fastdeploy.input.ernie4_5_processor.data_processor_logger"): result = self.processor.process_response_dict_normal(response_dict, **kwargs) self.mock_reasoning_parser.extract_reasoning_content.assert_called_once() self.assertEqual(result["outputs"]["reasoning_content"], "Mock reasoning content") self.assertEqual(result["outputs"]["reasoning_token_num"], len(mock_tokens)) self.assertEqual(result["outputs"]["text"], "Mock final text") self.assertIn("completion_tokens", result["outputs"]) if __name__ == "__main__": unittest.main()