887 lines
32 KiB
Python
887 lines
32 KiB
Python
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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"""
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@Time : 2020-03-26 16:17
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@Author : Zdanjuan
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@Site :
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@File : hy_clienttrader.py
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@Software: PyCharm
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"""
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import pywinauto
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from pywinauto import clipboard
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from pywinauto import keyboard
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import pandas as pd
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from skimage import io
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import time
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import io as mio
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import win32api
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import re
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import requests
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from PIL import Image
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import win32com.client
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import getpass
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import pytesseract
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import warnings
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import pyautogui
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import datetime
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from sqlalchemy import create_engine
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from tools import *
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from connect_wifi import connect_wifi
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from iptest import get_proxy_ip,set_global_proxy,get_ip_data
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warnings.filterwarnings('ignore')
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pc_name111 = getpass.getuser() #返回用户名
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shell = win32com.client.Dispatch("WScript.Shell") #使用启动独立的进程
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shortcut = shell.CreateShortCut(f"C:\\Users\\{pc_name111}\\Desktop\\申万宏源同花顺专业版.lnk")
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path1 = shortcut.Targetpath
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path = path1
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scripts_path = os.path.dirname(os.path.realpath(__file__))
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root_path = scripts_path[:scripts_path.find(project_name)+len(project_name)]
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class HYClientTrader:
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"""
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基于同花顺委托下单程序的"宏源客户端"自动交易程序
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"""
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def __init__(self, account_name, exe_path=path):
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self.log = Logger(f'{root_path}/logs',self.account_name)
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self.path = exe_path
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self.BALANCE_CONTROL_ID_GROUP = {
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# "资金余额": 0x3F4,
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"可用金额": 0x3f8,
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# "可取金额": 0x3f9,
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"股票市值": 0x3f6,
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"总资产": 0x3f7,
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}
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self.trade_control_id_group = {
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's1': 0x3FD, 's2': 0x3FE, 's3': 0x3FF, 's4': 0x409, 's5': 0x408,
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'b1': 0x3FA, 'b2': 0x401, 'b3': 0x402, 'b4': 0x40B, 'b5': 0x40C,
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}
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self.BALANCE_MENU_PATH = ["查询[F4]", "资金股票"]
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self.today = datetime.datetime.today().strftime('%Y-%m-%d')
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self.account_name = account_name
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self.table_df = []
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# self.is_bond = is_bond # 0:股票 1：债券
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self.is_buy = 1
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self.verify_code_wrong = 0
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self.position = {'当日成交':(106,348),'中心':(333,333)}
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# 获取债券列表
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engine_iddb = create_engine(
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'mysql+pymysql://cn_ainvest_db:cn_ainvest_sd3a1@rm-2zewagytttzk6f24xno.mysql.rds.aliyuncs.com:3306/iddb')
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df_bond = pd.read_sql(f'select * from conbond_basic_info', engine_iddb)
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self.df_list = df_bond.drop_duplicates('Bond_Ticker')['Bond_Ticker'].values.tolist()
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# 用户券商信息
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sql = f"select * from ainvest_usercount where username='{account_name}'"
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df_count = self.download_data_from_db(sql, 'ai_strategy_update_iddb')
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self.securities_name = str(list(df_count['securities_username'])[0])
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self.securities_password = str(list(df_count['securities_password'])[0])
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self.communication_password = str(list(df_count['communication_password'])[0])
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# 转换股票代码
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def tranTicker(self, x):
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x = str(x)
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if len(x) == 8:
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pass
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else:
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if len(x) == 6:
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if x.startswith('6'):
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x = 'SH' + x
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else:
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x = 'SZ' + x
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else:
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num = 6 - len(x)
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x = 'SZ' + num * '0' + x
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return x
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# 从数据库获取数据
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def download_data_from_db(self, sql, schema_name):
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"""
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create connection with DB
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阿里云数据库连接
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:param sql: 查询语句
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:param schema_name: 数据库名称
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:return: 查询结果数据
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"""
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cnx = create_engine(
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'mysql+pymysql://cn_ainvest_db:cn_ainvest_sd3a1@rm-2zewagytttzk6f24xno.'
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'mysql.rds.aliyuncs.com:3306/%s?charset=utf8' %
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schema_name, encoding="utf-8", echo=False)
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df = pd.read_sql(sql, con=cnx)
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return df
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def get_open_price(self, tick):
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str_ticker = tick.lower()
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price_all = requests.get('http://hq.sinajs.cn/list=' + str_ticker).text
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price_ticker = str(re.findall(r'var hq_str_(.*?);', price_all))
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# 开盘价
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open_price = float(price_ticker.split(',')[1])
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# 昨日收盘价
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price_pre_close = float(price_ticker.split(',')[2])
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# 实时股价
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price_real_time = float(price_ticker.split(',')[3])
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return open_price
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def exit(self):
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self._app.kill()
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def login(self):
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try:
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self._app = pywinauto.Application().connect(
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path=self.path, timeout=1
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)
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# print('连接成功')
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a.exit()
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except Exception:
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pass
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# wait login window ready
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# while True:
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# try:
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# self._app.top_window().Edit1.wait("ready")
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# break
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# except RuntimeError:
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# pass
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broker = '申万宏源'
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start_time = time.time()
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reset_proxy_to_default() # 初始化proxy信息
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# 重置mac
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set_mac = SetMac()
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set_mac.run()
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if not connect_wifi('ZTE_A5DB9D', '1234567890'): # 'Redmi K40','123456789'
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self.log.error("无法建立网络连接，请检查配置")
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else:
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self.log.info("网络已就绪")
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get_ip_times = 0
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writer = ExcelDataWriter() # 初始化ip_records 表格
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used_ip = writer.get_unavailable_ips(broker, account_name)
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while get_ip_times < 3:
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try:
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item = get_ip_data() # 获取动态IP
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if item['ip'] in used_ip:
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get_ip_times += 1
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else:
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self.log.info(f'代理IP已经获取{item}')
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break
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except Exception as e:
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self.log.error(f'获取IP失败，请检查网络连接{e}')
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time.sleep(5)
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# raise ConnectionError(f"获取IP失败，请检查网络连接。错误详情: {e}")
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# 设置全局代理
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proxy_ip = item['ip']
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proxy_port = item['port']
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set_global_proxy(proxy_ip, proxy_port, enable=True)
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# exit_ip = get_proxy_ip(proxy_ip,proxy_port)
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time_with_change_proxy = time.time() - start_time
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self.log.info('全局代理设置成功')
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insert_data = {'as_of_date': datetime.datetime.fromtimestamp(start_time).strftime('%Y-%m-%d %H:%M:%S.%f'),
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'broker': broker,
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'account': account_name,
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'proxy_ip': proxy_ip,
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'proxy_port': proxy_port,
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'ip_location': item['prov'] + ':' + item['city'],
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# 'exit_ip': exit_ip,
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'ip_cross_check_result': '一致',
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'ip_switch_time': time_with_change_proxy,
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# 'ip_expire_time':item['expire']
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'ip_survival_time': '3min'
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}
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# 写入数据表
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writer = ExcelDataWriter() # 初始化ip_records 表格
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writer.write_data(insert_data)
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self._app = pywinauto.Application().start(self.path)
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time.sleep(0.1)
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self._app.top_window().Edit1.type_keys(self.securities_name)
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time.sleep(0.1)
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self._app.top_window().Edit2.type_keys(self.securities_password)
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time.sleep(0.1)
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# while True:
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time.sleep(1)
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self._app.top_window().set_focus()
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self._app.top_window().Edit1.wait("ready")
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# 输入验证码
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id_code = self.verify_code()
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time.sleep(0.2)
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self._app.top_window().Edit3.type_keys('{BACKSPACE}' * 6)
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time.sleep(0.2)
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self._app.top_window().Edit3.type_keys(id_code)
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time.sleep(0.2)
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pywinauto.keyboard.send_keys("{ENTER}")
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time.sleep(0.5)
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# 验证码错误的情况
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try:
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self._app.top_window().set_focus()
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result_idcode = self._app.top_window().window(control_id=0x3EC, class_name='Static').window_text()
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if '验证码错误' in result_idcode:
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self._app.top_window().window(control_id=0x2, class_name="Button").click()
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time.sleep(0.5)
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# 重新获取id_code
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id_code = self.verify_code()
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time.sleep(0.2)
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self._app.top_window().Edit3.type_keys('{BACKSPACE}' * 6)
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time.sleep(0.2)
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self._app.top_window().Edit3.type_keys(id_code)
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time.sleep(0.2)
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pywinauto.keyboard.send_keys("{ENTER}")
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time.sleep(0.5)
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except Exception as e:
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pass
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time.sleep(2)
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self.main_wnd = self._app.window(title='网上股票交易系统5.0')
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# self.main_wnd = self._app.top_window()
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# 关闭广告
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try:
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self._app.top_window().set_focus()
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time.sleep(0.5)
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pywinauto.keyboard.send_keys("{ENTER}")
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time.sleep(0.2)
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pywinauto.keyboard.send_keys("{ENTER}")
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except Exception as e:
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pass
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time.sleep(0.5)
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# 转换股票代码
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def tranTicker(self, x):
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x = str(x)
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if len(x) == 8:
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pass
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else:
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if len(x) == 6:
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if x.startswith('6'):
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x = 'SH' + x
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else:
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x = 'SZ' + x
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else:
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num = 6 - len(x)
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x = 'SZ' + num * '0' + x
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return x
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# 窗口最小化
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def minimize(self):
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self.main_wnd.minimize()
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# 获取验证码
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def verify_code(self):
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time.sleep(1)
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self._app.top_window().Static.click()
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time.sleep(0.2)
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self._app.top_window().window(control_id=0x5DB, class_name='Static').capture_as_image().save(
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r'temp.png')
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time.sleep(0.2)
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im = io.imread(r'temp.png')
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id_code = pytesseract.image_to_string(im, lang='eng',
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config='--psm 6 --oem 3 -c tessedit_char_whitelist=0123456789').strip()
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# id_code = pytesseract.image_to_string(Image.open('temp.png'))
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id_code = id_code.replace(' ', '')
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return id_code
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# 复制数据时获取验证码
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def get_copy_date_verify_code(self):
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time.sleep(1)
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self._app.top_window().Static.click()
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time.sleep(0.2)
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self._app.top_window().window(control_id=0x965, class_name='Static').capture_as_image().save(
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r'copy.png')
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time.sleep(0.2)
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im = io.imread(r'copy.png')
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id_code = pytesseract.image_to_string(im, lang='eng',
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config='--psm 6 --oem 3 -c tessedit_char_whitelist=0123456789').strip()
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# id_code = pytesseract.image_to_string(Image.open('temp.png'))
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id_code = id_code.replace(' ', '')
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return id_code
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# 买
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def buy(self, stock_no, price, num):
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time.sleep(0.5)
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# 点击买入
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pyautogui.press('f1')
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time.sleep(0.2)
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pyautogui.press('f1')
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self.__trade(stock_no, price, num)
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def __trade(self, stock_no, price, amount):
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time.sleep(0.2)
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# 设置股票代码
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self.main_wnd.window(control_id=0x408, class_name="Edit").click()
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self.main_wnd.window(control_id=0x408, class_name="Edit").set_text(str(stock_no))
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time.sleep(2)
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# # 无法判断市场类型
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# try:
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# self._app.top_window().set_focus()
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# result_a = self._app.top_window().window(control_id=0xBBA, class_name='Static').window_text()
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# result_b = self._app.top_window().window(control_id=0x7AF, class_name='Button').window_text()
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# result_c = self._app.top_window().window(control_id=0x7CD, class_name='Button').window_text()
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# if '该证券代码在多个市场存在，客户端无法判' in result_a:
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# if ticker_name in result_b:
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# self._app.top_window().window(control_id=0x7AF, class_name="Button").click()
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# time.sleep(0.5)
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# elif ticker_name in result_c:
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# self._app.top_window().window(control_id=0x7CD, class_name="Button").click()
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# time.sleep(0.5)
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# except Exception as e:
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# pass
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if price in ['b1','b2','b3','b4','b5','s1','s2','s3','s4','s5']:
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price = float(self.main_wnd.window(control_id=self.trade_control_id_group[price], class_name="Static").window_text())
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# 设置价格
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self.main_wnd.window(control_id=0x409, class_name="Edit").set_text(str(price))
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time.sleep(0.5)
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# # 判断股票还是债券(1：债券)
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# if self.is_bond == 1:
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# # 买
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# unit = self.main_wnd.window(control_id=0x579, class_name="Static").window_text()
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# if unit[-2] == '股':
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# amount = int(int(amount) / 10)
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# # 卖
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# if self.is_buy == 0:
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# sell_num = int(self.main_wnd.window(control_id=0x40E, class_name="Static").window_text())
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# if sell_num < int(amount):
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# amount = int(int(amount) / 10)
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# print('卖出数量已减少10倍')
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# 设置股数目
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self.main_wnd.window(control_id=0x40A, class_name="Edit").set_text(str(amount))
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time.sleep(0.5)
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# 点击卖出or买入
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self.main_wnd.window(control_id=0x3EE, class_name="Button").click()
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time.sleep(1)
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# 小数后只能填2位情况
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self._app.top_window().set_focus()
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result_1 = self._app.top_window().window(control_id=0x410, class_name='Static').window_text()
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if result_1 == '委托价格的小数部分应为 2 位，是否继续？':
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# 点击“否”
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self._app.top_window().window(control_id=0x7, class_name='Button').click()
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# 保留两位小数截断
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price = str(price)[:-1]
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# 重新设置价格
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self.main_wnd.window(control_id=0x409, class_name="Edit").set_text(str(price))
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time.sleep(0.5)
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# 点击卖出or买入
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self.main_wnd.window(control_id=0x3EE, class_name="Button").click()
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time.sleep(1)
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self._app.top_window().set_focus()
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result_1 = self._app.top_window().window(control_id=0x410, class_name='Static').window_text()
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else:
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# 摘取合同信息
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self.__parse_contract(result_1)
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time.sleep(0.2)
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# # 摘取合同信息
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# self._app.top_window().set_focus()
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# result_1 = self._app.top_window().window(control_id=0x410, class_name='Static').window_text()
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# self.__parse_contract(result_1)
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# time.sleep(0.2)
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# 确认买入
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pywinauto.keyboard.send_keys("{ENTER}")
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time.sleep(0.5)
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# 摘取合同信息2
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result_2 = self._app.top_window().window(control_id=0x3EC, class_name='Static').window_text()
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print(result_2)
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# 确认合同
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pywinauto.keyboard.send_keys("{ENTER}")
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time.sleep(0.5)
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# 卖
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def sell(self, stock_no, price, num):
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time.sleep(0.5)
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# 点击卖出
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# pywinauto.keyboard.send_keys("{F2}")
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pyautogui.press('f2')
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time.sleep(0.5)
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pyautogui.press('f2')
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self.is_buy = 0
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self.__trade(stock_no, price, num)
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# 撤单
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def get_cancel_entrust(self, ticker):
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# # 进入撤单页面
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# # self._app.top_window().set_focus()
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# time.sleep(0.5)
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# pyautogui.press('f1')
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# time.sleep(0.5)
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# pyautogui.press('f3')
|
||
|
||
pyautogui.press('f5')
|
||
time.sleep(1)
|
||
# 删除框内ticker
|
||
self.main_wnd.window(control_id=0x3421A0, class_name='Edit').click()
|
||
for i in range(7):
|
||
pywinauto.keyboard.send_keys("{DELETE}")
|
||
|
||
# 输入ticker
|
||
self.main_wnd.window(control_id=0x3421A0, class_name='Edit').type_keys(ticker)
|
||
time.sleep(0.2)
|
||
# 选中ticker
|
||
pywinauto.keyboard.send_keys("{ENTER}")
|
||
time.sleep(0.1)
|
||
# 点击撤单
|
||
self.main_wnd.window(control_id=0x44B, class_name='Button').click()
|
||
time.sleep(0.1)
|
||
# 确认撤单
|
||
pywinauto.keyboard.send_keys("{ENTER}")
|
||
time.sleep(0.2)
|
||
# result = self._app.top_window().window(control_id=0x3EC, class_name='Static').window_text()
|
||
# print(result)
|
||
pywinauto.keyboard.send_keys("{ENTER}")
|
||
time.sleep(0.2)
|
||
pywinauto.keyboard.send_keys("{ESC}")
|
||
time.sleep(1)
|
||
|
||
# 撤单
|
||
def cancel_entrust(self):
|
||
# # 进入撤单页面
|
||
# # self._app.top_window().set_focus()
|
||
# time.sleep(0.5)
|
||
# pyautogui.press('f1')
|
||
# time.sleep(0.5)
|
||
# pyautogui.press('f3')
|
||
|
||
pyautogui.press('f5')
|
||
time.sleep(1)
|
||
# 一键全撤
|
||
self.main_wnd.window(control_id=0x7531, class_name='Button').click()
|
||
self._app.top_window().set_focus()
|
||
# self.main_wnd.window(control_id=0x6, class_name='Button').click()
|
||
# time.sleep(1)
|
||
# 确认买入
|
||
pywinauto.keyboard.send_keys("{ENTER}")
|
||
time.sleep(0.5)
|
||
|
||
# 获取未成交单
|
||
def get_unsettled_trades(self):
|
||
time.sleep(0.5)
|
||
pyautogui.press('f1')
|
||
time.sleep(0.5)
|
||
pyautogui.press('f3')
|
||
time.sleep(0.5)
|
||
# 刷新页面
|
||
pyautogui.press('f5')
|
||
time.sleep(0.2)
|
||
pyautogui.press('f5')
|
||
time.sleep(0.2)
|
||
# 复制表格数据
|
||
self._copy_data()
|
||
if self.verify_code_wrong == 1: # 验证码错误时将self.verify_code_wrong置1
|
||
self.get_today_trades()
|
||
self.verify_code_wrong = 0 # 验证码正确时将self.verify_code_wrong置0
|
||
self._data_to_df()
|
||
self.df_unsettled = self.df
|
||
return self.df_unsettled
|
||
|
||
# 获取当日实际持仓
|
||
def get_position(self):
|
||
"""获取资金情况"""
|
||
pyautogui.press('f1')
|
||
time.sleep(0.5)
|
||
pyautogui.press('f4')
|
||
time.sleep(0.5)
|
||
# 刷新页面
|
||
pyautogui.press('f5')
|
||
time.sleep(0.2)
|
||
pyautogui.press('f5')
|
||
time.sleep(0.2)
|
||
# 复制表格数据
|
||
self._copy_data()
|
||
if self.verify_code_wrong == 1: # 验证码错误时将self.verify_code_wrong置1
|
||
self.get_today_trades()
|
||
self.verify_code_wrong = 0 # 验证码正确时将self.verify_code_wrong置0
|
||
self._data_to_df()
|
||
self.df_position = self.df
|
||
|
||
# 处理self.df_position格式
|
||
del (self.df_position['交易市场'])
|
||
del (self.df_position['股东代码'])
|
||
del (self.df_position['成本金额'])
|
||
del (self.df_position['买入冻结'])
|
||
del (self.df_position['卖出冻结'])
|
||
del (self.df_position['在途卖出'])
|
||
del (self.df_position['在途买入'])
|
||
del (self.df_position['Unnamed: 18'])
|
||
del (self.df_position['股份余额'])
|
||
del (self.df_position['币种'])
|
||
|
||
|
||
self.df_position.rename(columns={"证券代码": "Ticker",
|
||
"证券名称": "Ticker_name",
|
||
"当前数量": "Number_transactions",
|
||
"可卖数量": "cash",
|
||
"冻结数量": "frozen_quantity",
|
||
"参考成本价": "cost_price",
|
||
"最新价": "market_price",
|
||
"最新市值": "market_value",
|
||
"参考盈亏": "profit_and_loss",
|
||
"盈亏比例(%)": "profit_loss_ratio",
|
||
}, inplace=True)
|
||
return self.df_position
|
||
|
||
# 获取资金情况
|
||
def get_balance(self):
|
||
"""获取资金情况"""
|
||
pyautogui.press('f1')
|
||
time.sleep(0.5)
|
||
pyautogui.press('f4')
|
||
time.sleep(0.5)
|
||
# 刷新页面
|
||
pyautogui.press('f5')
|
||
time.sleep(0.2)
|
||
pyautogui.press('f5')
|
||
time.sleep(0.2)
|
||
|
||
result = {}
|
||
for key, control_id in self.BALANCE_CONTROL_ID_GROUP.items():
|
||
result[key] = float(self.main_wnd.window(control_id=control_id, class_name="Static").window_text())
|
||
return result
|
||
|
||
# 获取左边窗口
|
||
def _get_left_handle(self):
|
||
while True:
|
||
try:
|
||
self.left_handle = self.main_wnd.window(control_id=0x81, class_name='SysTreeView32')
|
||
self.left_handle.wait('ready', 2) # sometime can't find handle ready, must retry
|
||
break
|
||
except Exception as ex:
|
||
print(ex)
|
||
pass
|
||
|
||
# 复制数据
|
||
def _copy_data(self):
|
||
|
||
# 复制表格数据
|
||
keyboard.send_keys('^C')
|
||
# 获取验证码
|
||
id_code = self.get_copy_date_verify_code()
|
||
time.sleep(0.2)
|
||
self._app.top_window().Edit.type_keys('{BACKSPACE}' * 6)
|
||
time.sleep(0.2)
|
||
self._app.top_window().Edit3.type_keys(id_code)
|
||
time.sleep(0.2)
|
||
pywinauto.keyboard.send_keys("{ENTER}")
|
||
time.sleep(1)
|
||
# 若验证码错误
|
||
try:
|
||
result_id = self._app.top_window().window(control_id=0x966, class_name='Static').window_text()
|
||
if '验证码错误' in result_id:
|
||
self._app.top_window().window(control_id=0x2, class_name='Button').click()
|
||
self.verify_code_wrong = 1
|
||
else:
|
||
self.verify_code_wrong = 0
|
||
except Exception as e:
|
||
self.verify_code_wrong = 0
|
||
pass
|
||
|
||
# 复制的数据转为DataFrame
|
||
def _data_to_df(self):
|
||
# 数据转为Dateframe
|
||
data_table = clipboard.GetData()
|
||
df_table = pd.read_csv(mio.StringIO(data_table), delimiter='\t', na_filter=False)
|
||
table_dict = df_table.to_dict('records')
|
||
if len(table_dict) == 0:
|
||
self.df = []
|
||
return
|
||
else:
|
||
data = []
|
||
for i in table_dict:
|
||
data.append(pd.DataFrame.from_dict(i, orient='index').T)
|
||
self.df = pd.concat(data, ignore_index=True)
|
||
|
||
# 获取委托单
|
||
def get_order(self):
|
||
|
||
# 点击当日委托
|
||
path = ['查询[F4]', '当日委托']
|
||
self._get_left_handle() # 获取self.left_handle
|
||
self.left_handle.get_item(path, exact=False).click_input(button=u'left', double=False, wheel_dist=0,
|
||
pressed=u'')
|
||
# x, y = win32api.GetCursorPos()
|
||
# pywinauto.mouse.click(button='left', coords=(x, y + 100))
|
||
|
||
# 刷新页面
|
||
pyautogui.press('f5')
|
||
time.sleep(0.2)
|
||
pyautogui.press('f5')
|
||
time.sleep(0.2)
|
||
|
||
self._copy_data()
|
||
if self.verify_code_wrong == 1: # 验证码错误时将self.verify_code_wrong置1
|
||
self.get_order()
|
||
self.verify_code_wrong = 0 # 验证码正确时将self.verify_code_wrong置0
|
||
self._data_to_df()
|
||
# print(self.df)
|
||
return self.df
|
||
|
||
# 获取当日成交
|
||
def get_today_trades(self):
|
||
"""
|
||
返回： self.table_df:汇总前表格
|
||
self.df: 汇总后表格
|
||
"""
|
||
time.sleep(1)
|
||
# 点击当日成交
|
||
path = ['查询[F4]', '当日成交']
|
||
self._get_left_handle() # 获取self.left_handle
|
||
self.left_handle.get_item(path, exact=False).click_input(button=u'left', double=True, wheel_dist=0,
|
||
pressed=u'')
|
||
# x_1, y_1 = win32api.GetCursorPos()
|
||
# pywinauto.mouse.click(button='left', coords=(x_1, y_1 + 50))
|
||
# x_2, y_2 = win32api.GetCursorPos()
|
||
# pywinauto.mouse.click(button='left', coords=(x_2, y_2 + 25))
|
||
|
||
# 关闭广告
|
||
try:
|
||
self._app.top_window().set_focus()
|
||
time.sleep(0.5)
|
||
pywinauto.keyboard.send_keys("{ESC}")
|
||
time.sleep(0.5)
|
||
# pywinauto.keyboard.send_keys("{ENTER}")
|
||
except Exception as e:
|
||
pass
|
||
|
||
# 刷新页面
|
||
pyautogui.press('f5')
|
||
time.sleep(0.2)
|
||
pyautogui.press('f5')
|
||
time.sleep(0.2)
|
||
# 数据转为DataFrame
|
||
self._copy_data()
|
||
if self.verify_code_wrong == 1: # 验证码错误时将self.verify_code_wrong置1
|
||
self.get_today_trades()
|
||
self.verify_code_wrong = 0 # 验证码正确时将self.verify_code_wrong置0
|
||
self._data_to_df()
|
||
if len(self.df) == 0:
|
||
return
|
||
|
||
self.table_df = self.df # 获取汇总前self.table_df
|
||
|
||
# 窗口最大化
|
||
try:
|
||
self.main_wnd.maximize()
|
||
except Exception as e:
|
||
pass
|
||
time.sleep(0.5)
|
||
|
||
# 数据汇总
|
||
pyautogui.click(self.position['中心'])
|
||
time.sleep(0.1)
|
||
|
||
# 右键
|
||
pyautogui.rightClick() # 右键
|
||
time.sleep(0.2)
|
||
|
||
# 点击常见汇总
|
||
pyautogui.press('down')
|
||
time.sleep(0.2)
|
||
pyautogui.press('down')
|
||
time.sleep(0.2)
|
||
pyautogui.press('enter')
|
||
time.sleep(0.2)
|
||
# 点击代码+操作
|
||
pyautogui.press('down')
|
||
time.sleep(0.2)
|
||
pyautogui.press('enter')
|
||
time.sleep(0.2)
|
||
|
||
self._copy_data()
|
||
if self.verify_code_wrong == 1: # 验证码错误时将self.verify_code_wrong置1
|
||
self.get_today_trades()
|
||
self.verify_code_wrong = 0 # 验证码正确时将self.verify_code_wrong置0
|
||
self._data_to_df() # 获取self.df
|
||
|
||
return self.df
|
||
|
||
|
||
# 交易记录入库（一）
|
||
def save_trades_sql(self):
|
||
As_Of_Date = datetime.datetime.today().strftime('%Y-%m-%d')
|
||
self.get_today_trades()
|
||
|
||
if len(self.df) == 0:
|
||
print('无当日成交---------------------')
|
||
# return False
|
||
else:
|
||
# 通过展示所有字段,摘取所需字段
|
||
need_info_df = self.df[['证券代码', '证券名称', '买卖标志', '成交数量', '成交价格']]
|
||
|
||
need_info_df['Account_name'] = self.account_name
|
||
need_info_df['As_Of_Date'] = As_Of_Date
|
||
need_info_df['买卖标志'] = need_info_df['买卖标志'].apply(
|
||
lambda x: '卖' if x == '卖出' else x)
|
||
need_info_df['买卖标志'] = need_info_df['买卖标志'].apply(
|
||
lambda x: '卖' if x == '证券卖出' else x)
|
||
need_info_df['买卖标志'] = need_info_df['买卖标志'].apply(
|
||
lambda x: '买' if x == '证券买入' else x)
|
||
need_info_df['买卖标志'] = need_info_df['买卖标志'].apply(
|
||
lambda x: '买' if x == '买入' else x)
|
||
need_info_df.rename(columns={"证券代码": "Ticker",
|
||
"证券名称": "Ticker_name",
|
||
"买卖标志": "Operate",
|
||
"成交数量": "Number_transactions",
|
||
"成交价格": "Average_price",
|
||
}, inplace=True)
|
||
need_info_df['Ticker'] = need_info_df['Ticker'].map(
|
||
lambda x: 'SH' + str("%06d" % int(x)) if str("%06d" % int(x))[0] == '6' or str("%06d" % int(x))[
|
||
0] == '5' else 'SZ' + str("%06d" % int(x)))
|
||
|
||
|
||
# 去掉债券前面的SH/SZ
|
||
need_info_df['Ticker'] = need_info_df['Ticker'].apply(
|
||
lambda x: x.strip('SH').strip('SZ') if x.strip('SH').strip('SZ') in self.df_list else x)
|
||
|
||
pd.set_option('display.max_columns', None)
|
||
pd.set_option('display.max_rows', None)
|
||
# print(need_info_df)
|
||
|
||
# 入库
|
||
try:
|
||
return need_info_df
|
||
# engine_auto_update_web_strategy = create_engine('mysql+pymysql://cn_ainvest_db:cn_ainvest_sd3a1@rm-2zewagytttzk6f24xno.mysql.rds.aliyuncs.com:3306/auto_update_web_strategy', encoding="utf-8", echo=False)
|
||
# need_info_df.to_sql('daily_transaction_record',engine_auto_update_web_strategy,if_exists='append',index=False,chunksize=1000)
|
||
print(self.account_name,"入库成功!")
|
||
except Exception as e:
|
||
# print(e)
|
||
print(self.account_name,"入库失败!!!!!!!!!!!!!!!!!!!!!!!!!!")
|
||
|
||
|
||
|
||
# 交易记录存表（二）
|
||
def save_trade_table(self):
|
||
|
||
# 获取当日成交
|
||
As_Of_Date = datetime.datetime.today().strftime('%Y%m%d')
|
||
As_Of_Date = As_Of_Date[-4:]
|
||
# df = self.get_today_trades()
|
||
if len(self.df) == 0:
|
||
return
|
||
else:
|
||
# 填写备注
|
||
df_trade = self._get_df_trade()
|
||
# pc_name111 = getpass.getuser() # 返回用户名
|
||
# df_trade = pd.read_excel(f'C:\\Users\\{pc_name111}\\Desktop\\{self.today}_股票交易列表.xls')
|
||
df_trade['用户名'] = df_trade['用户名'].map(lambda x:str(x))
|
||
df_user = df_trade[df_trade['用户名'].isin([self.account_name])]
|
||
df_user = df_user.drop_duplicates('股票代码')
|
||
df_user['股票代码'] = df_user['股票代码'].map(lambda x: x.strip('SH').strip('SZ'))
|
||
self.df['证券代码'] = self.df['证券代码'].map(lambda x: str(x))
|
||
strategy_ticker_list = df_user['股票代码'].tolist()
|
||
|
||
self.df['备注'] = '客户操作'
|
||
self.df.loc[self.df['证券代码'].isin(strategy_ticker_list), '备注'] = '策略选股'
|
||
|
||
# 填写成交时间
|
||
df_time = self.table_df.drop_duplicates('证券代码')
|
||
time_ticker_list = df_time['证券代码'].tolist()
|
||
self.df['证券代码'] = self.df['证券代码'].map(lambda x:int(x))
|
||
for i in time_ticker_list:
|
||
df_ticker_one = self.table_df[self.table_df['证券代码'].isin([i])]
|
||
time = max(df_ticker_one['成交时间'])
|
||
self.df.loc[self.df['证券代码'].isin([i]), '成交时间'] = time
|
||
|
||
# 存储入表
|
||
return self.df
|
||
# self.df.to_excel(f'C:\\Users\\{pc_name111}\\Desktop\\{self.account_name}_{As_Of_Date}.xls')
|
||
# self.df.to_excel(f'C:\\Users\\{pc_name111}\\Desktop\\{As_Of_Date}_交易记录\\{self.account_name}_{As_Of_Date}.xls')
|
||
print('存表成功')
|
||
|
||
# 读取交易指令表
|
||
def _get_df_trade(self):
|
||
engine_user_center = create_engine(
|
||
'mysql+pymysql://cn_ainvest_db:cn_ainvest_sd3a1@rm-2zewagytttzk6f24xno.mysql.rds.aliyuncs.com:3306/user_center',
|
||
encoding="utf-8", echo=False)
|
||
today = str(datetime.date.today())
|
||
df_trade = pd.read_sql(f'select * from trade_instruction where As_Of_Date = "{today}"', engine_user_center)
|
||
return df_trade
|
||
|
||
# 解析合同
|
||
@staticmethod
|
||
def __parse_contract(result):
|
||
""" 解析买入卖出的结果 """
|
||
|
||
# 股东帐号：A217477596
|
||
# 证券代码：600000
|
||
# 买入价格：3.330
|
||
# 买入数量：100
|
||
result_list = result.split('\n')
|
||
for i in result_list[:-1]:
|
||
print(i,end=', ')
|
||
|
||
|
||
if __name__ == '__main__':
|
||
account_name = str('18242094506')
|
||
is_bond = 0
|
||
# user = str('802102044749')
|
||
user = '1910004175'
|
||
password = str('210419')
|
||
a = HYClientTrader(account_name)
|
||
a.login()
|
||
|
||
# # 最小化
|
||
# a.minimize()
|
||
|
||
# # 买入
|
||
# a.buy('600000', '3.333','100')
|
||
|
||
# # 卖出
|
||
# a.sell('600835', '14.45','900')
|
||
|
||
# # 撤单
|
||
# a.cancel_entrust()
|
||
|
||
# # 获取未成交单
|
||
# print(a.get_unsettled_trades())
|
||
|
||
# # 获取当日实际持仓
|
||
# print(a.get_position())
|
||
|
||
# # 获取资金情况
|
||
# print(a.balance())
|
||
|
||
# 获取委托单
|
||
# print(a.get_order())
|
||
|
||
# # 获取当日成交
|
||
# a.get_today_trades()
|
||
# print(a.df)
|
||
|
||
# # 交易记录入库
|
||
# a.save_trades_sql()
|
||
|
||
# # 交易记录存表
|
||
# a.save_trade_table()
|
||
|
||
|