import asyncio
import random
import cv2
from pyppeteer import launch
from urllib import request
 
# 滑块的缺口距离识别
async def get_distance():
 img = cv2.imread('image.png', 0)
 template = cv2.imread('template.png', 0)
 res = cv2.matchTemplate(img, template, cv2.TM_CCORR_NORMED)
 value = cv2.minMaxLoc(res)[2][0]
 distance = value * 278/360
 return distance
 
async def main():
 browser = await launch({
  'headless': False,# 需要设置一个路径
  'userDataDir': r'E:\mj',
  'args': ['--no-sandbox', '--window-size=1366,768'],
 })
 page = await browser.newPage()
 await page.setViewport({'width': 1366, 'height': 768})
 await page.goto('https://passport.jd.com/login.aspx')
 await page.waitFor(1000)
 await page.click('div.login-tab-r')
 await page.waitFor(1000)
 
 # TODO 模拟人工输入用户名、密码 输入自己的账号密码
 await page.type('#loginname', 'yazhishaw',
     {'delay': random.randint(60, 121)})
 await page.type('#nloginpwd', '123456',
     {'delay': random.randint(100, 151)})
 await page.waitFor(2000)
 await page.click('div.login-btn')
 await page.waitFor(3000)
 # 模拟人工拖动滑块、失败则重试
 while True:
  if await page.J('#ttbar-login'):
   print('登录成功！')
   await page.waitFor(6000)
   break
  else:
   image_src = await page.Jeval('.JDJRV-bigimg >img', 'el => el.src')
   request.urlretrieve(image_src, 'image.png')
   template_src = await page.Jeval('.JDJRV-smallimg >img', 'el => el.src')
   request.urlretrieve(template_src, 'template.png')
   await page.waitFor(3000)
   el = await page.J('div.JDJRV-slide-btn')
   box = await el.boundingBox()
   await page.hover('div.JDJRV-slide-btn')
   distance = await get_distance()
   await page.mouse.down()
   await page.mouse.move(box['x'] + distance + random.uniform(30, 33), box['y'], {'steps': 20})
   await page.waitFor(random.randint(300, 700))
   await page.mouse.move(box['x'] + distance + 29, box['y'], {'steps': 20})
   await page.mouse.up()
   await page.waitFor(3000)
 
asyncio.get_event_loop().run_until_complete(main())