python模拟哔哩哔哩滑块登入验证的实现

from PIL import Image
from time import sleep
from selenium import webdriver
from selenium.webdriver import ActionChains
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
import cv2
import numpy as np
import math
############ 配置区域 #########

zh='' #账号
pwd='' #密码
 # chromedriver的路径
chromedriver_path = "C:\Program Files (x86)\Google\Chrome\Application\chromedriver.exe"

####### end #########

options = webdriver.ChromeOptions()
options.add_argument('--no-sandbox')
options.add_argument('--window-size=1020,720')
# options.add_argument('--start-maximized') # 浏览器窗口最大化
options.add_argument('--disable-gpu')
options.add_argument('--hide-scrollbars')
options.add_argument('test-type')
options.add_experimental_option("excludeSwitches", ["ignore-certificate-errors",
             "enable-automation"]) # 设置为开发者模式
driver = webdriver.Chrome(options=options, executable_path=chromedriver_path)
driver.get('https://passport.bilibili.com/login')

# 登入
def login():
 driver.find_element_by_id("login-username").send_keys(zh)
 driver.find_element_by_id("login-passwd").send_keys(pwd)
 driver.find_element_by_css_selector("#geetest-wrap > div > div.btn-box > a.btn.btn-login").click()
 print("点击登入")

# 整个图，跟滑块整个图
def screen(screenXpath):
 img = WebDriverWait(driver, 20).until(
  EC.visibility_of_element_located((By.XPATH, screenXpath))
 )
 driver.save_screenshot("allscreen.png") # 对整个浏览器页面进行截图
 left = img.location['x']+160 #往右
 top = img.location['y']+60 # 往下
 right = img.location['x'] + img.size['width']+230 # 往左
 bottom = img.location['y'] + img.size['height']+110 # 往上
 im = Image.open('allscreen.png')
 im = im.crop((left, top, right, bottom)) # 对浏览器截图进行裁剪
 im.save('1.png')
 print("截图完成1")
 screen_two(screenXpath)
 screen_th(screenXpath)
 matchImg('3.png','2.png')

# 滑块部分图
def screen_two(screenXpath):
 img = WebDriverWait(driver, 20).until(
  EC.visibility_of_element_located((By.XPATH, screenXpath))
 )
 left = img.location['x'] + 160
 top = img.location['y'] + 80
 right = img.location['x'] + img.size['width']-30
 bottom = img.location['y'] + img.size['height'] + 90
 im = Image.open('allscreen.png')
 im = im.crop((left, top, right, bottom)) # 对浏览器截图进行裁剪
 im.save('2.png')
 print("截图完成2")

# 滑块剩余部分图
def screen_th(screenXpath):
 img = WebDriverWait(driver, 20).until(
  EC.visibility_of_element_located((By.XPATH, screenXpath))
 )
 left = img.location['x'] + 220
 top = img.location['y'] + 60
 right = img.location['x'] + img.size['width']+230
 bottom = img.location['y'] + img.size['height'] +110
 im = Image.open('allscreen.png')
 im = im.crop((left, top, right, bottom)) # 对浏览器截图进行裁剪
 im.save('3.png')
 print("截图完成3")

#图形匹配
def matchImg(imgPath1,imgPath2):
 imgs = []
 #展示
 sou_img1= cv2.imread(imgPath1)
 sou_img2 = cv2.imread(imgPath2)
 # 最小阈值100,最大阈值500
 img1 = cv2.imread(imgPath1, 0)
 blur1 = cv2.GaussianBlur(img1, (3, 3), 0)
 canny1 = cv2.Canny(blur1, 100, 500)
 cv2.imwrite('temp1.png', canny1)
 img2 = cv2.imread(imgPath2, 0)
 blur2 = cv2.GaussianBlur(img2, (3, 3), 0)
 canny2 = cv2.Canny(blur2, 100, 500)
 cv2.imwrite('temp2.png', canny2)
 target = cv2.imread('temp1.png')
 template = cv2.imread('temp2.png')
 # 调整大小
 target_temp = cv2.resize(sou_img1, (350, 200))
 target_temp = cv2.copyMakeBorder(target_temp, 5, 5, 5, 5, cv2.BORDER_CONSTANT, value=[255, 255, 255])
 template_temp = cv2.resize(sou_img2, (200, 200))
 template_temp = cv2.copyMakeBorder(template_temp, 5, 5, 5, 5, cv2.BORDER_CONSTANT, value=[255, 255, 255])
 imgs.append(target_temp)
 imgs.append(template_temp)
 theight, twidth = template.shape[:2]
 # 匹配跟拼图
 result = cv2.matchTemplate(target, template, cv2.TM_CCOEFF_NORMED)
 cv2.normalize( result, result, 0, 1, cv2.NORM_MINMAX, -1 )
 min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(result)
 # 画圈
 cv2.rectangle(target,max_loc,(max_loc[0]+twidth,max_loc[1]+theight),(0,0,255),2)
 target_temp_n = cv2.resize(target, (350, 200))
 target_temp_n = cv2.copyMakeBorder(target_temp_n, 5, 5, 5, 5, cv2.BORDER_CONSTANT, value=[255, 255, 255])
 imgs.append(target_temp_n)
 imstack = np.hstack(imgs)

 cv2.imshow('windows'+str(max_loc), imstack)
 cv2.waitKey(0)
 cv2.destroyAllWindows()

 # 计算距离
 print(max_loc)
 dis=str(max_loc).split()[0].split('(')[1].split(',')[0]
 x_dis=int(dis)+135
 t(x_dis)


#拖动滑块
def t(distances):
 draggable = driver.find_element_by_css_selector('div.geetest_slider.geetest_ready > div.geetest_slider_button')
 ActionChains(driver).click_and_hold(draggable).perform() #抓住
 print(driver.title)
 num=getNum(distances)
 sleep(3)
 for distance in range(1,int(num)):
  print('移动的步数: ',distance)
  ActionChains(driver).move_by_offset(xoffset=distance, yoffset=0).perform()
  sleep(0.25)
 ActionChains(driver).release().perform() #松开


# 计算步数
def getNum(distances):
 p = 1+4*distances
 x1 = (-1 + math.sqrt(p)) / 2
 x2 = (-1 - math.sqrt(p)) / 2
 print(x1,x2)
 if x1>=0 and x2<0:
  return x1+2
 elif(x1<0 and x2>=0):
  return x2+2
 else:
  return x1+2

def main():
 login()
 sleep(5)
 screenXpath = '/html/body/div[2]/div[2]/div[6]/div/div[1]/div[1]/div/a/div[1]/div/canvas[2]'
 screen(screenXpath)
 sleep(5)


if __name__ == '__main__':
 main()