[BugFix] fix ErnieProcessor not set raw_prediction (#3400)

Author: memoryCoderC

fastdeploy/input/ernie_processor.py

@@ -287,6 +287,7 @@ def process_response_dict_streaming(self, response_dict, **kwargs):
             if token_ids[-1] == self.tokenizer.eos_token_id:
                 token_ids = token_ids[:-1]
         delta_text, previous_token_ids, previous_texts = self.ids2tokens(token_ids, req_id)
+        response_dict["outputs"]["raw_prediction"] = delta_text
         if self.reasoning_parser and (
             enable_thinking or self.reasoning_parser.__class__.__name__ == "ErnieX1ReasoningParser"
         ):

test/input/test_ernie_processor.py

@@ -0,0 +1,53 @@
+import unittest
+from unittest.mock import MagicMock, patch
+
+from fastdeploy.input.ernie_processor import ErnieProcessor
+
+
+class TestErnieProcessorProcessResponseDictStreaming(unittest.TestCase):
+    def setUp(self):
+        # 创建 ErnieProcessor 实例的模拟对象
+        with patch.object(ErnieProcessor, "__init__", return_value=None) as mock_init:
+            self.processor = ErnieProcessor("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.tool_parsers = {}
+
+        # 模拟 ids2tokens 方法
+        def mock_ids2tokens(token_ids, task_id):
+            return "delta_text", [2, 3], "previous_texts"
+
+        self.processor.ids2tokens = mock_ids2tokens
+
+        # 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 = "tool_call"
+        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"]["raw_prediction"], "delta_text")
+
+
+if __name__ == "__main__":
+    unittest.main()