feat: optimize AI suggestion and workorder sync - support same-day multiple update numbering - insert new suggestions at top maintaining reverse chronological order - reference process history when generating suggestions - simplify prompts to avoid forcing log analysis - fix Chinese comment encoding issues

src/dialogue/realtime_chat.py

@@ -1,5 +1,3 @@
-
-# -*- coding: utf-8 -*-
 """
 实时对话管理器
 提供实时对话功能，集成知识库搜索和LLM回复
@@ -109,7 +107,8 @@ class RealtimeChatManager:
             assistant_response = self._generate_response(
                 user_message, 
                 knowledge_results, 
-                session["context"]
+                session["context"],
+                session["work_order_id"]
             )
             
             # 创建助手消息
@@ -167,11 +166,14 @@ class RealtimeChatManager:
             logger.error(f"搜索知识库失败: {e}")
             return []
     
-    def _generate_response(self, user_message: str, knowledge_results: List[Dict], context: List[Dict]) -> Dict[str, Any]:
+    def _generate_response(self, user_message: str, knowledge_results: List[Dict], context: List[Dict], work_order_id: Optional[int] = None) -> Dict[str, Any]:
         """生成回复"""
         try:
+            # 检查是否有相关的工单AI建议
+            ai_suggestions = self._get_workorder_ai_suggestions(work_order_id)
+            
             # 构建提示词
-            prompt = self._build_chat_prompt(user_message, knowledge_results, context)
+            prompt = self._build_chat_prompt(user_message, knowledge_results, context, ai_suggestions)
             
             # 调用大模型
             response = self.llm_client.chat_completion(
@@ -184,24 +186,31 @@ class RealtimeChatManager:
                 content = response['choices'][0]['message']['content']
                 confidence = self._calculate_confidence(knowledge_results, content)
                 
+                # 如果有AI建议，在回复中包含
+                if ai_suggestions:
+                    content = self._format_response_with_ai_suggestions(content, ai_suggestions)
+                
                 return {
                     "content": content,
-                    "confidence": confidence
+                    "confidence": confidence,
+                    "ai_suggestions": ai_suggestions
                 }
             else:
                 return {
                     "content": "抱歉，我暂时无法处理您的问题。请稍后再试或联系人工客服。",
-                    "confidence": 0.1
+                    "confidence": 0.1,
+                    "ai_suggestions": ai_suggestions
                 }
                 
         except Exception as e:
             logger.error(f"生成回复失败: {e}")
             return {
                 "content": "抱歉，系统出现错误，请稍后再试。",
-                "confidence": 0.1
+                "confidence": 0.1,
+                "ai_suggestions": []
             }
     
-    def _build_chat_prompt(self, user_message: str, knowledge_results: List[Dict], context: List[Dict]) -> str:
+    def _build_chat_prompt(self, user_message: str, knowledge_results: List[Dict], context: List[Dict], ai_suggestions: List[str] = None) -> str:
         """构建聊天提示词"""
         prompt = f"""
 你是一个专业的奇瑞汽车客服助手。请根据用户的问题和提供的知识库信息，给出专业、友好的回复。
@@ -219,6 +228,12 @@ class RealtimeChatManager:
         else:
             prompt += "\n未找到相关知识库信息。\n"
         
+        # 添加AI建议信息
+        if ai_suggestions:
+            prompt += "\n相关AI建议：\n"
+            for suggestion in ai_suggestions:
+                prompt += f"- {suggestion}\n"
+        
         # 添加上下文
         if context:
             prompt += "\n对话历史：\n"
@@ -233,13 +248,72 @@ class RealtimeChatManager:
 4. 如果问题需要进站处理，请明确说明
 5. 回复要简洁明了，避免冗长
 6. 如果涉及技术问题，要提供具体的操作步骤
-7. 始终以"您好"开头，以"如有其他问题，请随时联系"结尾
 
 请直接给出回复内容，不要包含其他格式：
 """
         
         return prompt
 
+    def _get_workorder_ai_suggestions(self, work_order_id: Optional[int]) -> List[str]:
+        """
+        获取工单的AI建议
+        
+        Args:
+            work_order_id: 工单ID
+            
+        Returns:
+            AI建议列表
+        """
+        try:
+            if not work_order_id:
+                return []
+            
+            with db_manager.get_session() as session:
+                # 查询工单的AI建议
+                from ..core.models import WorkOrderSuggestion
+                suggestions = session.query(WorkOrderSuggestion).filter(
+                    WorkOrderSuggestion.work_order_id == work_order_id
+                ).order_by(WorkOrderSuggestion.created_at.desc()).limit(3).all()
+                
+                ai_suggestions = []
+                for suggestion in suggestions:
+                    if suggestion.ai_suggestion:
+                        ai_suggestions.append(suggestion.ai_suggestion)
+                
+                return ai_suggestions
+                
+        except Exception as e:
+            logger.error(f"获取工单AI建议失败: {e}")
+            return []
+    
+    def _format_response_with_ai_suggestions(self, content: str, ai_suggestions: List[str]) -> str:
+        """
+        在回复中格式化AI建议
+        
+        Args:
+            content: 原始回复内容
+            ai_suggestions: AI建议列表
+            
+        Returns:
+            包含AI建议的格式化回复
+        """
+        try:
+            if not ai_suggestions:
+                return content
+            
+            # 在回复末尾添加AI建议
+            formatted_content = content
+            
+            formatted_content += "\n\n📋 **相关AI建议：**\n"
+            for i, suggestion in enumerate(ai_suggestions, 1):
+                formatted_content += f"{i}. {suggestion}\n"
+            
+            return formatted_content
+            
+        except Exception as e:
+            logger.error(f"格式化AI建议失败: {e}")
+            return content
+
     def _extract_vin(self, text: str) -> Optional[str]:
         """从文本中提取VIN（17位，I/O/Q不使用，常见校验）"""
         try: