滑动验证码-移动滑块

滑动验证码-移动滑块

思路：

• 获取滑块
• 建立动作
• 根据滑动的速度滑动

  from selenium.webdriver.chrome.service import Service
  from selenium.webdriver.support.ui import WebDriverWait
  from selenium.webdriver.support import expected_conditions as EC
  from selenium import webdriver
  from selenium.webdriver.common.by import By
  from fake_useragent import UserAgent
  import requests
  from time import sleep
  
  headers = {'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36'}
  
  import cv2
  def get_long():
      # 导入图片
      img1 = cv2.imread('./imgs/cpt1.png')
      img2 = cv2.imread('./imgs/cpt2.png')
      # 边缘化图片
      canny1 = cv2.Canny(img1,300,800)
      canny2 = cv2.Canny(img2,250,500)
      # 保存图片
      cv2.imwrite('./imgs/tcpt1.png',canny1)
      cv2.imwrite('./imgs/tcpt2.png',canny2)
      # 加载要匹配的图片
      big = cv2.imread('./imgs/tcpt1.png')
      small = cv2.imread('./imgs/tcpt2.png')
      # 匹配图片
      rs = cv2.matchTemplate(big,small,cv2.TM_CCORR_NORMED)
      # 显示结果统计
      min_val,max_val,min_loc,max_loc = cv2.minMaxLoc(rs)
      return max_loc[0]/big.shape[1]*340
  
  def get_track(distance):
      track = []
      # 从什么地方开始滑动
      current = 0
      # 减速的阈值
      mid = distance*4/5
      # 时间
      t = 0.2
      # 速度
      v = 0
  
      while current < distance:
          if current <mid:
              a = 2
          else:
              a = -3
          v0 = v
          v = v0 + a*t
          move = v0*t + 1/2*a*t*t
          track.append(round(move))#加入移动轨迹
          current += move #记录当前位置
  
      track.append(distance - sum(track)) 
      return track,sum(track)
  
  def get_img():
      # 创建驱动服务：
      s = Service('./chromedriver.exe')
      # 创建chrome浏览器
      driver = webdriver.Chrome(service = s)
      # 访问指定网站
      driver.get('https://www.ssssssssss.com/chn/sc/waybill/waybill-detail/xxxxxx')
      # 设置全局等待对象
      wait = WebDriverWait(driver,100)
      # 设置等待iframe加载完成
      wait.until(EC.presence_of_all_elements_located((By.XPATH,"//iframe[@id='tcaptcha_iframe']")))
      # 切换到frame
      driver.switch_to.frame("tcaptcha_iframe")
      sleep(3)
      # 获取图片src
      wait.until(EC.presence_of_all_elements_located((By.XPATH,"//div[@id='slideBgWrap']/img")))
      img = driver.find_element(By.XPATH,"//div[@id='slideBgWrap']/img")
      img_src = img.get_attribute('src')
      img_src = img_src[:img_src.rfind('&')-1]
      print(img_src)
      # 保存图片
      save_image(f'{img_src}1','cpt1.png')
      save_image(f'{img_src}2','cpt2.png')
  
      # 滑动验证，
      # 获取滑动的距离
      distance = get_long()
      # 获取滑动的轨迹
      track,long = get_track(distance)
      # 操作selenium滑动滑块  
      # 点击滑块
      button = driver.find_element(By.XPATH,"//div[@id='tcaptcha_drag_thumb']")
      webdriver.ActionChains(driver).click_and_hold(button).perform()
      # 进行拖拽
      for t in track:
          # 开始拖拽
          webdriver.ActionChains(driver).move_by_offset(xoffset=t,yoffset=0).perform()
      # 释放拖拽
      webdriver.ActionChains(driver).release().perform()
      driver.close()
  
  def save_image(url,file_name):
      resp = requests.get(url,headers=headers)
      with open(f'./imgs/{file_name}','wb') as f:
          f.write(resp.content)
  
  if __name__ == '__main__':
      get_img()