Rename app (1).py to app.py

app (1).py → app.py

@@ -101,82 +101,6 @@ def process_function_call(function_name, function_args):
 def index():
     return send_from_directory('.', 'index.html')
 
-# @app.route('/chat', methods=['POST'])
-# def chat():
-#     data = request.json
-#     question = data['question']
-#     history = data.get('history', [])
-#     messages = history + [{"role": "user", "content": question}]
-    
-#     status_log = []
-    
-#     # 次级模型1: 处理搜索相关函数
-#     status_log.append("次级模型1：正在判断是否需要选调第一组函数")
-#     sub_model_1_response = get_openai_response(messages, model="gpt-4o-mini", functions=FUNCTIONS_GROUP_1, function_call="auto")
-    
-#     # 次级模型2: 处理邮件发送相关函数
-#     status_log.append("次级模型2：正在判断是否需要选调第二组函数")
-#     sub_model_2_response = get_openai_response(messages, model="gpt-4o-mini", functions=FUNCTIONS_GROUP_2, function_call="auto")
-    
-#     function_call_1 = sub_model_1_response.function_call if sub_model_1_response and sub_model_1_response.function_call else None
-#     function_call_2 = sub_model_2_response.function_call if sub_model_2_response and sub_model_2_response.function_call else None
-    
-#     final_function_call = None
-#     response = None
-#     if function_call_1 and function_call_2:
-#         # 裁决模型: 决定使用哪个函数调用
-#         status_log.append("裁决模型：正在决定使用哪个函数调用")
-#         arbitration_messages = messages + [
-#             {"role": "system", "content": "两个次级模型都建议使用函数。请决定使用哪个函数更合适。"},
-#             {"role": "assistant", "content": f"次级模型1建议使用函数：{function_call_1.name}"},
-#             {"role": "assistant", "content": f"次级模型2建议使用函数：{function_call_2.name}"}
-#         ]
-#         arbitration_response = get_openai_response(arbitration_messages, model="gpt-4o-mini")
-#         if "模型1" in arbitration_response.content or function_call_1.name in arbitration_response.content:
-#             final_function_call = function_call_1
-#             status_log.append(f"裁决模型：决定使用函数 {function_call_1.name}")
-#         else:
-#             final_function_call = function_call_2
-#             status_log.append(f"裁决模型：决定使用函数 {function_call_2.name}")
-#     elif function_call_1:
-#         final_function_call = function_call_1
-#         status_log.append(f"次级模型1：决定使用函数 {function_call_1.name}")
-#     elif function_call_2:
-#         final_function_call = function_call_2
-    #      status_log.append(f"次级模型2：决定使用函数 {function_call_2.name}")
-    #  else:
-    #      status_log.append("次级模型：判断不需要进行搜索或发送邮件")
-    
-    # if final_function_call:
-    #     function_name = final_function_call.name
-    #     function_args = json.loads(final_function_call.arguments)
-    #     status_log.append(f"正在执行函数 {function_name}")
-    #     result = process_function_call(function_name, function_args)
-    #     status_log.append(f"函数 {function_name} 执行完成")
-        
-    #     # 检查是否为邮件发送功能
-    #     result_dict = json.loads(result)
-    #     if result_dict.get("is_email", False):
-    #         response = f"邮件{'已成功' if result_dict['success'] else '未能成功'}发送到 {result_dict['to']}。\n\n主题：{result_dict['subject']}\n\n内容：\n{result_dict['content']}"
-    #     else:
-    #         messages.append({
-    #             "role": "function",
-    #             "name": function_name,
-    #             "content": result
-    #         })
-    
-    # # 只有在没有邮件发送结果时才调用主模型
-    # if not response:
-    #     status_log.append("主模型：正在生成回答")
-    #     final_response = get_openai_response(messages, model="gpt-4o-mini")
-    #     response = final_response.content if final_response else "Error occurred"
-    #     status_log.append("主模型：回答生成完成")
-    
-    # return jsonify({
-    #     "response": response,
-    #     "status_log": status_log
-    # })
-
 @app.route('/chat', methods=['POST'])
 def chat():
     data = request.json