update:python单模块部署声纹识别对接

main/xiaozhi-server/core/connection.py

@@ -595,8 +595,33 @@ class ConnectionHandler:
         self.logger.bind(tag=TAG).info(f"大模型收到用户消息: {query}")
         self.llm_finish_task = False
 
+        # 检查是否是JSON格式的消息（包含说话人信息）
+        enhanced_query = query
+        try:
+            if query.strip().startswith('{') and query.strip().endswith('}'):
+                data = json.loads(query)
+                if 'speaker' in data and 'content' in data:
+                    # 直接使用JSON格式，不重新格式化
+                    enhanced_query = query
+                    self.logger.bind(tag=TAG).info(f"识别到说话人: {data['speaker']}")
+                else:
+                    # 如果有说话人信息但不是JSON格式，按原逻辑处理
+                    if hasattr(self, 'current_speaker') and self.current_speaker:
+                        enhanced_query = f"[说话人: {self.current_speaker}] {query}"
+                        self.logger.bind(tag=TAG).info(f"识别到说话人: {self.current_speaker}")
+            else:
+                # 如果有说话人信息但不是JSON格式，按原逻辑处理
+                if hasattr(self, 'current_speaker') and self.current_speaker:
+                    enhanced_query = f"[说话人: {self.current_speaker}] {query}"
+                    self.logger.bind(tag=TAG).info(f"识别到说话人: {self.current_speaker}")
+        except json.JSONDecodeError:
+            # JSON解析失败，按原逻辑处理
+            if hasattr(self, 'current_speaker') and self.current_speaker:
+                enhanced_query = f"[说话人: {self.current_speaker}] {query}"
+                self.logger.bind(tag=TAG).info(f"识别到说话人: {self.current_speaker}")
+
         if not tool_call:
-            self.dialogue.put(Message(role="user", content=query))
+            self.dialogue.put(Message(role="user", content=enhanced_query))
 
         # Define intent functions
         functions = None
@@ -609,7 +634,7 @@ class ConnectionHandler:
             memory_str = None
             if self.memory is not None:
                 future = asyncio.run_coroutine_threadsafe(
-                    self.memory.query_memory(query), self.loop
+                    self.memory.query_memory(enhanced_query), self.loop
                 )
                 memory_str = future.result()