[fix]update apply_chat_template (#4249)

* [fix]Modify follow-up push parameters and Modify the verification method for thinking length (#4086)

* 续推参数  generated_token_ids 修改成 completion_token_ids;修改思考长度校验方式

* 续推参数  generated_token_ids 修改成 completion_token_ids;修改思考长度校验方式

* 续推参数  generated_token_ids 修改成 completion_token_ids;修改思考长度校验方式

* 续推参数  generated_token_ids 修改成 completion_token_ids;修改思考长度校验方式

* add completion_token_ids

* add logger

* fix reasoning_max_tokens ParameterError

* add unittest

* add unittest

* add unittest

* add unittest

* add unittest

* add unit test

* fix

* [fix]update apply_chat_template (#4137)

* update apply_chat_template

* fix unittest

* fix unittest

* fix

* fix

* fix unit test

* fix

* fix unit test

* add unit test

tests/input/test_ernie_processor.py

@@ -17,6 +17,8 @@ class TestErnie4_5ProcessorProcessResponseDictStreaming(unittest.TestCase):
         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]
 
         # 模拟 ids2tokens 方法
         def mock_ids2tokens(token_ids, task_id):
@@ -24,6 +26,18 @@ class TestErnie4_5ProcessorProcessResponseDictStreaming(unittest.TestCase):
 
         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"
@@ -49,6 +63,17 @@ class TestErnie4_5ProcessorProcessResponseDictStreaming(unittest.TestCase):
         # 验证结果
         self.assertEqual(result["outputs"]["raw_prediction"], "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])
+
 
 if __name__ == "__main__":
     unittest.main()