refactor: 清理不需要的代码文件，添加.gitignore，优化项目结构

src/dialogue/realtime_chat.py

@@ -1,4 +1,4 @@
-#!/usr/bin/env python3
+
 # -*- coding: utf-8 -*-
 """
 实时对话管理器
@@ -16,6 +16,7 @@ from ..core.llm_client import QwenClient
 from ..knowledge_base.knowledge_manager import KnowledgeManager
 from ..core.database import db_manager
 from ..core.models import Conversation, WorkOrder
+from ..vehicle.vehicle_data_manager import VehicleDataManager
 
 logger = logging.getLogger(__name__)
 
@@ -36,6 +37,7 @@ class RealtimeChatManager:
     def __init__(self):
         self.llm_client = QwenClient()
         self.knowledge_manager = KnowledgeManager()
+        self.vehicle_manager = VehicleDataManager()
         self.active_sessions = {}  # 存储活跃的对话会话
         self.message_history = {}  # 存储消息历史
         
@@ -81,6 +83,27 @@ class RealtimeChatManager:
             
             # 搜索相关知识
             knowledge_results = self._search_knowledge(user_message)
+
+            # 识别VIN并查询实时数据，注入上下文
+            vin = self._extract_vin(user_message)
+            realtime_snippets = []
+            if vin:
+                latest = self.vehicle_manager.get_latest_vehicle_data_by_vin(vin)
+                if latest:
+                    # 组织为知识片段参与提示
+                    realtime_snippets.append({
+                        "question": f"VIN {vin} 的最新实时数据",
+                        "answer": json.dumps(latest, ensure_ascii=False),
+                        "similarity_score": 1.0,
+                        "source": "vehicle_realtime"
+                    })
+                    # 也放入上下文，便于模型参考
+                    session["context"].append({
+                        "role": "system",
+                        "content": f"车辆VIN {vin} 最新数据: {json.dumps(latest, ensure_ascii=False)}"
+                    })
+            if realtime_snippets:
+                knowledge_results = (realtime_snippets + knowledge_results)[:5]
             
             # 生成回复
             assistant_response = self._generate_response(
@@ -216,6 +239,19 @@ class RealtimeChatManager:
 """
         
         return prompt
+
+    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:
+            import re
+            # 允许大小写字母和数字，排除 I,O,Q，长度17
+            pattern = r"\b(?!.*[IOQ])[A-HJ-NPR-Z0-9]{17}\b"
+            match = re.search(pattern, text.upper())
+            if match:
+                return match.group(0)
+            return None
+        except Exception:
+            return None
     
     def _calculate_confidence(self, knowledge_results: List[Dict], response_content: str) -> float:
         """计算回复置信度"""