python pyppeteer 破解京东滑块功能的代码

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('http://www.51sjk.com/Upload/Articles/1/0/257/257540_20210630001602919.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())