python 滑块登入验证 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('http://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()