diff --git a/main.py b/main.py
index 4c0c135f61696bcf42c375ca5ab62aa5b105afc8..64ea9809415656c710697ccfdecfbd544c55c9c3 100644
--- a/main.py
+++ b/main.py
@@ -1 +1,139 @@
-print('欢迎来到 InsCode')
\ No newline at end of file
+print('欢迎来到 InsCode')
+
+# -*- coding: utf-8 -*-
+'''
+通达信-小达
+
+使用浏览器登录https://wenda.tdx.com.cn/，并按F12查看网络，复制cookie，替换后即可使用。
+'''
+import prettytable as pt
+# ===============表格美化输出===============
+def df_table(df,index):
+    
+    #利用prettytable对输出结果进行美化,index为索引列名:df_table(df,'market')
+    tb = pt.PrettyTable()
+    # 如果为trade_time为index转换为日期类型，其它不用管。
+    if index == "trade_time":
+        df = df.set_index(index)
+        df.index = pd.DatetimeIndex(df.index)
+    # df.reset_index(level=None, drop=True, inplace=True, col_level=0, col_fill='')
+    df = df.reset_index(drop = True)
+    tb.add_column(index,df.index)#按date排序
+    for col in df.columns.values:#df.columns.values的意思是获取列的名称
+        # print('col',col)
+        # print('df[col]',df[col])
+        tb.add_column(col, df[col])
+    print(tb)
+
+import requests
+import pandas as pd
+import json,os
+# 增加UserAgent，防止被反爬虫拦截
+from fake_useragent import UserAgent
+
+
+class TDX_xiaoda:
+    def __init__(self,cookie = 'Hm_lvt_5c4c948b141e4d66943a8430c3d600d0=1683343445; Hm_lpvt_5c4c948b141e4d66943a8430c3d600d0=1683343445; Token=a83cb29c37c54675883f20e7f7e474e7_1_JX_2; TDXID=R2302141428276685425IEYT; ATYPE=999; BTYPE=300; NICK=; LST=11; LOGID=@ec0:IZTanHlrWliPVC3nbJ+DhUKrc5uZJHC5; ASPSessionID=3683314944918358529'):
+        self.cookie = cookie
+
+    def _get_ua(self):
+        # 构造useragent，为避免网络访问时延及报错，fake_useragent.json存放到本地
+        location = os.path.dirname(__file__)+'/fake_useragent.json'
+        ua = UserAgent(cache_path=location)
+        return ua.random
+
+    def set_headers(self):
+        self.headers = {
+            'Cookie': self.cookie,
+            # 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/109.0.0.0 Safari/537.36 Edg/109.0.1518.70'
+            'User-Agent': self._get_ua()
+        }
+        return self.headers
+        
+    def get_data_option(self,word='涨停股票'):
+        '''
+        获取提示参考
+        :param word:
+        :return:
+        '''
+        data=[{"op_flag":1,"question":word,"POS":0,"COUNT":10,"RANG":"AG"}]
+        url='https://wenda.tdx.com.cn/TQL?Entry=NLPSE.QuestionImagine&RI='
+        headers=self.set_headers()
+        res=requests.post(url=url,data=json.dumps(data),headers=headers)
+        text=res.json()
+        return text
+    def get_word_code(self,name='换手率2.8~15,量比2~20,OBV指标创新高,涨幅2~7,股价2~30'):
+        '''
+        :param name:
+        :return:
+        '''
+        data=[{"message":name,"TDXID":"","wdbk":"","RANG":"AG"}]
+        url='https://wenda.tdx.com.cn/TQL?Entry=NLPSE.StockSelect&RI='
+        headers=self.set_headers()
+        res=requests.post(url=url,headers=headers,data=json.dumps(data))
+        text=res.json()
+        print(text)
+        code=text[-1][0]
+        return code
+    def get_all_option_data(self,):
+        '''
+        获取全部参考
+        :return:
+        '''
+        url='https://wenda.tdx.com.cn/TQL?Entry=NLPSE.SmartQuery&RI='
+        headers=self.set_headers()
+        data=[{"op_flag":1,"order_field":"","order_flag":1,"cond_json":"","POS":0,"COUNT":-1,"RANG":"AG"}]
+        res=requests.post(url=url,headers=headers,data=json.dumps(data))
+        text=res.json()
+        df=pd.DataFrame(text)
+        df = df.iloc[1:]
+        df2 = df.rename(columns=df.iloc[0])
+        df3 = df2.iloc[1:]
+        return df3
+    def get_word_result(self,word='北向资金'):
+        '''
+        获取数据
+        :param word:
+        :return:
+        '''
+        while True:
+            url = 'https://wenda.tdx.com.cn/TQL?Entry=NLPSE.NLPQuery&RI=6BFD'
+            code = self.get_word_code(name=word)
+            headers=self.set_headers()
+            data=[{"nlpse_id":code,"POS":0,"COUNT":100000,"order_field":"","dynamic_order":"","order_flag":"","timestamps":0,"op_flag":1,"screen_type":1,"RANG":"AG"}]
+            res=requests.post(url=url,headers=headers,data=json.dumps(data))
+            text=res.content.decode('utf-8')
+            text=json.loads(text)
+            data_len=len(text)
+            if data_len<4:
+                print('连接失败，再次尝试连接*********'+str(text))
+            else:
+                print(text)
+                df=pd.DataFrame(text)
+                break
+        df=df.iloc[1:]
+        df2=df.rename(columns=df.iloc[0])
+        df3=df2.iloc[2:]
+        return df3
+if __name__=='__main__':
+
+    #获取参考
+    xd = TDX_xiaoda()
+
+    if 0:
+        #可能获取不到
+        df1=xd.get_data_option(word='沪深A股,换手率1%~5%')
+        print(df1)
+        # [[0, '', 10, '', ''], ['POS', 'question'], [], ['1', '沪深A股,换手率5%~10%'], ['2', '换手率1%~5%'], ['3', '换手率1%~5%'], ['4', '沪深A股'], ['5', '沪深A股'], ['6', '沪深A股,电力'], ['7', '沪深A股,化工'], ['8', '换手率1%~5%,量比1~3'], ['9', '换手率5%~10%'], ['10', '换手率大于5%']]
+        #获取问题转代码
+        df2=xd.get_word_code(name='沪深A股,换手率1%~5%')
+        print(df2)
+        #获取全部的参考，具体看通达信
+        df3=xd.get_all_option_data()
+        print(df3)
+        df_table(df3,'df')
+
+    #获取问题的结果
+    df4=xd.get_word_result(word='今日涨停')
+    print(df4)
+    df_table(df4,'df')
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