多用户回答分离

main.py

@@ -8,8 +8,17 @@
 
 os.environ['GPT_ENGINE'] = 'gpt-3.5-turbo'
 api_key = os.environ.get('API_KEY')
-chatbot = Chatbot(api_key=api_key)
-answerList=list()
+bot_list: dict = {
+    '': Chatbot(api_key=api_key)
+}
+#回答列表
+a_list: dict = {
+    '': list()
+}
+#问题列表
+q_list: dict = {
+    '': list()
+}
 
 
 app = Flask(__name__)
@@ -54,32 +63,40 @@ def wechat():
             return 'no element', 200
 
         print('req=' + str(req))
+        userName = req.get('FromUserName')
         # 判断post过来的数据中数据类型是不是文本
         if 'text' == req.get('MsgType'):
             # 获取用户的信息，开始构造返回数据
             try:
-                if req.get('Content') in ['。', '你好', 'hi']:
-                    if len(answerList) == 0:
+                msg = req.get('Content')
+                # 新用户，新建list
+                if a_list.get(userName) == None:
+                    a_list.setdefault(userName, list())
+                    q_list.setdefault(userName, list())
+                    bot_list.setdefault(userName, Chatbot(api_key=api_key))
+                if msg in ['。', '你好', 'hi']:
+                    if len(a_list.get(userName)) == 0:
                         resp = {
                             'ToUserName':req.get('FromUserName'),
                             'FromUserName':req.get('ToUserName'),
                             'CreateTime':int(time.time()),
                             'MsgType':'text',
-                            'Content': '请提问，或者回复“。”(中文句号)等待回答...'
+                            'Content': '请提问，或回复中文句号查询上一次结果...'
                         }
                     else:
                         resp = {
                             'ToUserName':req.get('FromUserName'),
                             'FromUserName':req.get('ToUserName'),
                             'CreateTime':int(time.time()),
                             'MsgType':'text',
-                            'Content': answerList.pop()
+                            'Content': '['+str(q_list.get(userName).pop())+']\n'+str(a_list.get(userName).pop())
                         }
                     xml = xmltodict.unparse({'xml':resp})
                     return xml
                 else:
-                    answer = chatbot.ask(req.get('Content'))
-                    answerList.append(answer)
+                    answer = bot_list[userName].ask(msg)
+                    a_list.get(userName).append(answer)
+                    q_list.get(userName).append(msg)
                     resp = {
                         'ToUserName':req.get('FromUserName'),
                         'FromUserName':req.get('ToUserName'),