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())
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