自用策略初始提交
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from dash import html
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from dash import dcc
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from dash import Input#输入
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from dash import Output#输出
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import time
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from dash import dash_table
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import dash
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import pandas as pd
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import requests
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import json
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from datetime import datetime
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import os
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path=os.path.dirname(os.path.abspath(__file__))
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now_date=str(datetime.now())[:10]
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select_list=['用户信息','实时数据','历史数据','清空实时数据','清空历史数据']
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def params_func(text=''):
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'''
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解析函数
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'''
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data_list=[]
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f=text.split('\n')
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for i in f:
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text=i.strip().lstrip()
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data_list.append(text)
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func='\n'.join(data_list)
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return func
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def get_n1_n2_daily(start_date='2023-12-14',end_date='2023-12-30'):
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'''
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获取2个时间的天数
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'''
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import datetime
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end_date=end_date.split('-')
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start_date=start_date.split('-')
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d1 =datetime.datetime(int(start_date[0]),int(start_date[1]),int(start_date[2]))
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d2 = datetime.datetime(int(end_date[0]),int(end_date[1]),int(end_date[2])) # 第二个日期
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interval = d2 - d1 # 两日期差距
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days=interval.days
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return days
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app=dash.Dash(__name__)
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app.layout=html.Div([
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html.H3('小果聚合跟单服务器,找作者获取授权码 微信15117320079,输入的数据必须是字符串'),
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html.P('实盘前请清空实时数据其他的不用,点击运行按钮获取数据,运行实盘前需要获取授权码'),
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html.Tbody([
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html.Tr([
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html.Td('用户名称',
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style={'border':'1px solid','width':'200px'}),
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html.Td('数据类型',
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style={'border':'1px solid','width':'200px'}),
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html.Td('运行程序',
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style={'border':'1px solid','width':'200px'}),
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html.Td('下载数据',
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style={'border':'1px solid','width':'200px'})
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]),
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html.Tr([
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html.Td(dcc.Input(value='123456',id='joinquant_trader_password'),
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style={'border':'1px solid','width':'200px'}),
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html.Td(dcc.Dropdown(options=select_list,value='用户信息',id='joinquant_trader_data_type'),
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style={'border':'1px solid','width':'200px'}),
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html.Td(dcc.Dropdown(options=['运行','不运行'],id='joinquant_trader_run',value='不运行'),
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style={'border':'1px solid','width':'200px'}),
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html.Td(dcc.RadioItems(options={'下载数据':"下载数据","不下载数据":"不下载数据"},id='joinquant_trader_down_data',value='不下载数据'),
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style={'border':'1px solid','width':'200px'})
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]),
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]),
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dcc.Textarea(value="""
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{'状态': 'held', '订单添加时间': 'datetime.datetime(2024, 4, 23, 9, 30)', '买卖': 'False', '下单数量': '9400', '已经成交': '9400', '股票代码': '', '订单ID': '1732208241', '平均成交价格': '10.5', '持仓成本': '10.59', '多空': 'long', '交易费用': '128.31'}
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""",
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id='joinquant_trader_text',style={'width': '80%', 'height': 200,"text-align":"left",}),
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html.H3('数据展示'),
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dash_table.DataTable(
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id='joinquant_trader_table',
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page_size=10,
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style_table={'font-size': 15},
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sort_action='native'),
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dcc.Download(id='joinquant_trader_table_down')
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])
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#回调表1
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@app.callback(
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Output(component_id='joinquant_trader_table',component_property='data',allow_duplicate=True),
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Input(component_id='joinquant_trader_password',component_property='value'),
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Input(component_id='joinquant_trader_data_type',component_property='value'),
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Input(component_id='joinquant_trader_text',component_property='value'),
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Input(component_id='joinquant_trader_run',component_property='value'),
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Input(component_id='joinquant_trader_down_data',component_property='value'),
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prevent_initial_call=True
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)
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def show_wencai_data_table_1(password,data_type,text,run,down_data):
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if run=='运行':
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password_df=pd.read_excel(r'授权表\授权表.xlsx',dtype='object')
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try:
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del password_df['Unnamed: 0']
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except:
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pass
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now_date=str(datetime.now())[:10]
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password_df['用户名称']=password_df['用户名称'].astype(str)
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password_df['到期时间']=password_df['到期时间'].astype(str)
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password_df.index=password_df['用户名称']
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password_list=password_df['用户名称'].tolist()
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if str(password) in password_list:
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text=params_func(text)
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text=eval(text)
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df=password_df[password_df['用户名称']==password]
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end_date=str(df['到期时间'].tolist()[-1])[:10]
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day=get_n1_n2_daily(start_date=now_date,end_date=end_date)
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df['到期天数']=day
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if day>=1:
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if data_type=='用户信息':
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df['信息推送']='授权码正常'
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df['数据状态']=True
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elif data_type=='实时数据':
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try:
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df=pd.read_csv(r'{}\data\实时数据\{}实时数据.csv'.format(path,password))
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try:
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del df['Unnamed: 0']
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except:
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pass
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df['交易日']=df['交易日'].astype(str)
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select_list=list(text.keys())
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select_list.append('交易日')
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select_list.append('数据状态')
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df=df[select_list]
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df=df[df['交易日']==now_date]
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except Exception as e:
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print(e,'实时数据有问题')
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df=pd.DataFrame()
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try:
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hist=pd.read_csv(r'{}\data\历史数据\{}历史数据.csv'.format(path,password))
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try:
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del hist['Unnamed: 0']
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except:
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pass
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df['交易日']=df['交易日'].astype(str)
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select_list=list(text.keys())
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select_list.append('交易日')
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select_list.append('数据状态')
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df=df[select_list]
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except Exception as e:
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print(e,'历史数据有问题')
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hist=pd.DataFrame()
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data=pd.DataFrame()
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data['状态']=[text['状态']]
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data['订单添加时间']=[text['订单添加时间']]
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data['买卖']=[text['买卖']]
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data['下单数量']=[text['下单数量']]
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data['已经成交']=[text['已经成交']]
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data['股票代码']=[text['股票代码']]
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data['订单ID']=[text['订单ID']]
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data['平均成交价格']=[text['平均成交价格']]
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data['持仓成本']=[text['持仓成本']]
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data['多空']=[text['多空']]
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data['交易费用']=[text['交易费用']]
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df=pd.concat([df,data],ignore_index=True)
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df['证券代码']=df['股票代码'].apply(lambda x: str(x).split('.XSHE')[0])
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df['数据长度']=df['证券代码'].apply(lambda x: len(str(x)))
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df=df[df['数据长度']>=6]
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try:
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del df['数据长度']
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except:
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pass
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df=df.drop_duplicates(subset=['股票代码','下单数量','买卖','多空'],keep='last')
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df['交易日']=now_date
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df['数据状态']=True
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df.to_csv(r'{}\data\实时数据\{}实时数据.csv'.format(path,password))
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hist=pd.concat([hist,data],ignore_index=True)
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hist=hist.drop_duplicates(subset=['股票代码','下单数量','买卖','多空'],keep='last')
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hist['交易日']=now_date
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hist['数据状态']=True
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hist.to_csv(r'{}\data\历史数据\{}历史数据.csv'.format(path,password))
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elif data_type=='清空实时数据':
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df=pd.DataFrame()
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df.to_csv(r'{}\data\实时数据\{}实时数据.csv'.format(path,password))
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elif data_type=='历史数据':
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try:
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hist=pd.read_csv(r'{}\data\历史数据\{}历史数据.csv'.format(path,password))
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hist['证券代码']=hist['股票代码'].apply(lambda x: str(x).split('.XSHE')[0])
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hist['数据长度']=hist['证券代码'].apply(lambda x: len(str(x)))
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hist=hist[hist['数据长度']>=6]
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hist=hist.drop_duplicates(subset=['股票代码','下单数量','买卖','多空'],keep='last')
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try:
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del hist['数据长度']
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except:
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pass
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try:
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del hist['Unnamed: 0']
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except:
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pass
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df=hist
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df['交易日']=df['交易日'].astype(str)
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select_list=list(text.keys())
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select_list.append('交易日')
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select_list.append('数据状态')
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df=df[select_list]
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except Exception as e:
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print(e,'历史数据有问题')
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df=pd.DataFrame()
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elif data_type=='清空历史数据':
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df=pd.DataFrame()
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df.to_csv(r'{}\data\历史数据\{}历史数据.csv'.format(path,password))
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else:
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df['信息推送']='授权码到期找作者获取'
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df['数据状态']=False
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else:
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df['信息推送']='授权码到期找作者获取'
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df['数据状态']=False
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return df.to_dict('records')
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else:
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df=pd.DataFrame()
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df['信息提示']=['用户没有注册请注册/联系作者微信15117320079']
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df['数据状态']=False
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return df.to_dict('records')
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else:
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df=pd.DataFrame()
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df['信息提示']=['没有点击运行选择']
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df['数据状态']=False
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return df.to_dict('records')
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#回调下载
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@app.callback(
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Output(component_id='joinquant_trader_table_down',component_property='data',allow_duplicate=True),
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Input(component_id='joinquant_trader_password',component_property='value'),
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Input(component_id='joinquant_trader_data_type',component_property='value'),
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Input(component_id='joinquant_trader_text',component_property='value'),
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Input(component_id='joinquant_trader_run',component_property='value'),
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Input(component_id='joinquant_trader_down_data',component_property='value'),
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prevent_initial_call=True
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)
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def show_wencai_data_table_down(password,data_type,text,run,down_data):
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if down_data=='下载数据':
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password_df=pd.read_excel(r'授权表\授权表.xlsx',dtype='object')
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try:
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del password_df['Unnamed: 0']
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except:
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pass
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now_date=str(datetime.now())[:10]
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password_df['用户名称']=password_df['用户名称'].astype(str)
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password_df['到期时间']=password_df['到期时间'].astype(str)
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password_df.index=password_df['用户名称']
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password_list=password_df['用户名称'].tolist()
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if str(password) in password_list:
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text=params_func(text)
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text=eval(text)
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df=password_df[password_df['用户名称']==password]
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end_date=str(df['到期时间'].tolist()[-1])[:10]
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day=get_n1_n2_daily(start_date=now_date,end_date=end_date)
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df['到期天数']=day
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if day>=1:
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if data_type in ['实时数据','历史数据']:
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hist=pd.read_csv(r'{}\data\{}\{}{}.csv'.format(path,data_type,password,data_type))
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try:
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del hist['Unnamed: 0']
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except:
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pass
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df=hist
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return dcc.send_data_frame(df.to_excel,filename='{}{}.xlsx'.format(now_date,data_type))
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if __name__=='__main__':
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app.run(
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host='0.0.0.0', # 监听所有网络接口
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port=8888, # 端口
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debug=True # 开发时建议开启debug模式，便于调试
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)
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