# 导入模块

 from selenium import webdriver

 from selenium.webdriver import ActionChains

 from selenium.webdriver.common.by import By

 from selenium.webdriver.common.keys import Keys

 from selenium.webdriver.support import expected_conditions as EC

 from selenium.webdriver.support.wait import WebDriverWait

 from PIL import Image

 import time

 def get_snap(driver):

     driver.save_screenshot('full_snap.png')

     page_snap_obj = Image.open('full_snap.png')

     return page_snap_obj

 def get_image(driver):

     img = driver.find_element_by_class_name('geetest_canvas_img')

     time.sleep(2)

     location = img.location

     size = img.size

     print(size)

     left = location['x']

     top = location['y']

     right = left+size['width']

     bottom = top+size['height']

     page_snap_obj = get_snap(driver)

     image_obj = page_snap_obj.crop((left, top, right, bottom))

     # image_obj.show()

     return image_obj

 def get_distance(image1, image2):

     start = 57

     threhold = 60

     for i in range(start, image1.size[0]):

         for j in range(image1.size[1]):

             rgb1 = image1.load()[i, j]

             rgb2 = image2.load()[i, j]

             res1 = abs(rgb1[0]-rgb2[0])

             res2 = abs(rgb1[1]-rgb2[1])

             res3 = abs(rgb1[2]-rgb2[2])

             # print(res1,res2,res3)

             if not (res1 <threhold and res2 <threhold and res3 < threhold):

                 return i - 7

     return i - 7

 def get_tracks(distance):

     distance += 20  # 先滑过一点, 最后再反着滑动回来

     v = 0

     t = 0.2

     forward_tracks = []

     current = 0

     mid = distance * 3 / 5

     while current < distance:

         if current < mid:

             a = 2

         else:

             a = -3

         s = v * t + 0.5 * a * (t**2)

         v = v + a * t

         current += s

         forward_tracks.append(round(s))

     # 反着滑动到准确位置

     back_tracks = [-1, -1, -1, -2, -3, -2, -2, -2, -2, -1, -1, -1]  # 总共等于 -20

     return {'forward_tracks':forward_tracks, 'back_tracks':back_tracks}

 def crack(driver):  # 破解滑动认证

     # 1.点击按钮,得到没有缺口的图片

     button = driver.find_element_by_class_name('geetest_radar_tip')

     button.click()

     # 2.获取没有缺口的图片

     image1 = get_image(driver)

     # 3.点击滑动按钮,得到有缺口的图片

     button = driver.find_element_by_class_name('geetest_slider_button')

     button.click()

     # 4.获取有缺口的图片

     image2 = get_image(driver)

     # 5.对比两种图片的像素点,找出位移

     distance = get_distance(image1, image2)

     # 6.模拟人的行为习惯,根据总位移得到的行为轨迹

     tracks = get_tracks(distance)

     print(tracks)

     # 7.按照人行动轨迹先正向滑动,后反向滑动

     button = driver.find_element_by_class_name('geetest_slider_button')

     ActionChains(driver).click_and_hold(button).perform()

     # 正常人类总是自信满满地开始正向滑动,自信的表现是疯狂加速

     for track in tracks['forward_tracks']:

         ActionChains(driver).move_by_offset(xoffset=track, yoffset=0).perform()

     # 结果傻逼了,正常的人类停顿了一下,回过神来发现,卧槽,滑过了,然后开始反向滑动

     time.sleep(0.3)

     for back_track in tracks['back_tracks']:

         ActionChains(driver).move_by_offset(xoffset=back_track, yoffset=0).perform()

     # 小范围震荡一下, 进一步迷惑极验后台, 这一步可以极大的提高成功率

     time.sleep(0.1)

     ActionChains(driver).move_by_offset(xoffset=-3, yoffset=0).perform()

     ActionChains(driver).move_by_offset(xoffset=3, yoffset=0).perform()

     # 成功后,骚包人类总喜欢默默地欣赏一下自己拼图的成果,然后恋恋不舍地松开那只脏手

     time.sleep(0.5)

     ActionChains(driver).release().perform()

 def login_cnblogs(username,password):

     driver = webdriver.Chrome()

     try:

         # 1、输入账号密码回车

         driver.implicitly_wait(3)

         driver.get('https://passport.cnblogs.com/user/signin')

         input_username = driver.find_element_by_id('input1')

         input_pwd = driver.find_element_by_id('input2')

         signin = driver.find_element_by_id('signin')

         input_username.send_keys(username)

         input_pwd.send_keys(password)

         signin.click()

         # 2、破解滑动认证

         crack(driver)

         time.sleep(10)  # 睡时间长一点，确定登录成功

     finally:

         driver.close()

 if __name__ == '__main__':

     login_cnblogs(username='aaaaa',password='aaaaa')