博客园登录selenium模拟登录

# 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
class OpenHideLocators:
    # 隐藏的属性需要更改之后才能获取到
    # js = "document.getElementById('checkWay').style.display='block'"
    # js1 = "document.getElementById('js-signin-btn').click()"
    # js="$('.geetest_canvas_fullbg').css('display','block');"
    js="document.getElementsByClassName('geetest_canvas_fullbg')[0].style.display='block'"
    # js1="$('.geetest_canvas_fullbg').css('display','none');"
def get_snap(driver,save_name):
    now = time.strftime('%Y-%m-%d_%H_%M_%S')
    driver.save_screenshot(save_name)
    page_snap_obj = Image.open(save_name)
    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,'full_snap.png')
    image_obj = page_snap_obj.crop((left, top, right, bottom))
    # image_obj.show()
    return image_obj
def get_simage(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,'full_image.png')
    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，进入图片页面
    button = driver.find_element_by_class_name('geetest_radar_tip')
    button.click()
    time.sleep(3)
    test=driver.execute_script(OpenHideLocators.js)
    # [0].style.display='block'
    print(test)
    time.sleep(6)
    # 2.获取没有缺口的图片
    image1 = get_simage(driver)
    # driver.execute_script(OpenHideLocators.js1)
    # 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)
    print('对比'+str(distance))
    # 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()
    #     pass



if __name__ == '__main__':
    login_cnblogs(username='dangkai',password='dk137046..')