优化对话转工单功能，添加重试机制以提高稳定性，限制处理会话数量为前2000个，更新示例查询和文件路径，增强代码可读性和维护性。同时新增数据库客户端功能，支持批量处理会话数据并导出至Excel。

rag2_0/demo/intent_recognition_example.py

@@ -175,7 +175,7 @@ def save_results_to_excel(results, output_file, is_final=False):
     logging.info(f"已保存{len(valid_results)}条结果至: {temp_output_file}")
 
 # 示例查询
-examples_query = """那西藏软件呢"""
+examples_query = """那储能软件如何操作"""
 conversation_context=""
 chat_history=[
         {
@@ -214,8 +214,8 @@ def main():
     
     # 读取提问数据
     current_dir = os.path.dirname(os.path.abspath(__file__))
-    data_file = os.path.join(current_dir, "..", "..", "data", "excel", "历史提问数据(like)_提问明确.xlsx")
-    output_file = os.path.join(current_dir, "..", "..", "data", "excel", "测试提问数据_槽位填充结果.xlsx")
+    data_file = os.path.join(current_dir, "..", "..", "data", "excel", "200条点踩数据测试.xlsx")
+    output_file = os.path.join(current_dir, "..", "..", "data", "excel", "200条点踩数据测试_槽位填充结果.xlsx")
     
     # 检测是否为调试模式，调试模式下使用examples_query，否则从Excel读取
     is_debug = hasattr(sys, 'gettrace') and sys.gettrace() is not None
@@ -226,7 +226,7 @@ def main():
         examples = load_questions_from_excel(data_file)
     
     if not is_debug:
-        max_workers = 40  # 减少并发数以避免API限制
+        max_workers = 20  # 减少并发数以避免API限制
         logging.info(f"共有 {len(examples)} 个问题需要处理，使用 {max_workers} 个并发线程")
         
         # 创建一个与输入顺序相同的结果列表
@@ -260,9 +260,10 @@ def main():
         logging.info(f"所有处理完成，最终结果已保存至: {output_file}")
     else:
         for idx, query in enumerate(examples):
-                if query.strip() == "":
-                    continue
-                process_query(recognizer, query, conversation_context, chat_history, previous_slots)
+            if query.strip() == "":
+                continue
+            process_query(recognizer, query, conversation_context, chat_history, previous_slots)
+            # print(json.dumps(process_query(recognizer, query), ensure_ascii=False, indent=2))
 
 def setup_logging():
     # 配置日志输出到控制台