import time

from io import BytesIO

from PIL import Image

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

 

EMAIL = ''

PASSWORD = ''

BORDER = 6

INIT_LEFT = 60

 

 

class CrackGeetest():

    def __init__(self):

        self.url = 'https://account.zbj.com/login'

        self.option = webdriver.ChromeOptions()

        # self.option.add_argument('--headless')

        # self.option.add_argument('--disable-gpu')

        # self.option.add_argument("--user-agent=Mozilla/5.0 HAHA")

        self.browser = webdriver.Chrome(executable_path="./chromedriver", options=self.option)

        self.wait = WebDriverWait(self.browser, 20)

        self.email = EMAIL

        self.password = PASSWORD

 

    def __del__(self):

        self.browser.close()

 

    def get_geetest_button(self):

        """

        获取初始验证按钮

        :return:

        """

        button = self.wait.until(EC.element_to_be_clickable((By.CLASS_NAME, 'geetest_radar_tip')))

        return button

 

    def get_position(self):

        """

        获取验证码位置

        :return: 验证码位置元组

        """

        img = self.wait.until(EC.presence_of_element_located((By.CLASS_NAME, 'geetest_canvas_img')))

        time.sleep(2)

        location = img.location

        size = img.size

        top, bottom, left, right = location['y'], location['y'] + size['height'], location['x'], location['x'] + size[

            'width']

        return (top, bottom, left, right)

 

    def get_screenshot(self):

        """

        获取网页截图

        :return: 截图对象

        """

        screenshot = self.browser.get_screenshot_as_png()

        screenshot = Image.open(BytesIO(screenshot))

        return screenshot

 

    def get_slider(self):

        """

        获取滑块

        :return: 滑块对象

        """

        slider = self.wait.until(EC.element_to_be_clickable((By.CLASS_NAME, 'geetest_slider_button')))

        return slider

 

    def get_geetest_image(self, name='captcha.png', js=''):

        """

        获取验证码图片

        :return: 图片对象

        """

        time.sleep(1)

        self.browser.execute_script(js)

        time.sleep(1)

 

        top, bottom, left, right = self.get_position()

        print('验证码位置', top, bottom, left, right)

        screenshot = self.get_screenshot()

        captcha = screenshot.crop((left, top, right, bottom))

        captcha.save(name)

        return captcha

 

    def open(self):

        """

        打开网页输入用户名密码

        :return: None

        """

        self.browser.get(self.url)

        email = self.wait.until(EC.presence_of_element_located((By.ID, 'username')))

        password = self.wait.until(EC.presence_of_element_located((By.ID, 'password')))

        email.send_keys(self.email)

        time.sleep(1)

        password.send_keys(self.password)

 

    def get_gap(self, image1, image2):

        """

        获取缺口偏移量

        :param image1: 不带缺口图片

        :param image2: 带缺口图片

        :return:

        """

        left = 60

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

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

                if not self.is_pixel_equal(image1, image2, i, j):

                    left = i

                    return left

        return left

 

    def is_pixel_equal(self, image1, image2, x, y):

        """

        判断两个像素是否相同

        :param image1: 图片1

        :param image2: 图片2

        :param x: 位置x

        :param y: 位置y

        :return: 像素是否相同

        """

        # 取两个图片的像素点

        pixel1 = image1.load()[x, y]

        pixel2 = image2.load()[x, y]

        threshold = 60

        if abs(pixel1[0] - pixel2[0]) < threshold and abs(pixel1[1] - pixel2[1]) < threshold and abs(

                pixel1[2] - pixel2[2]) < threshold:

            return True

        else:

            return False

 

    def get_track(self, distance):

        """

        根据偏移量获取移动轨迹

        :param distance: 偏移量

        :return: 移动轨迹

        """

        # 移动轨迹

        track = []

        # 当前位移

        current = 0

        # 减速阈值

        mid = distance * 4 / 5

        # 计算间隔

        t = 0.2

        # 初速度

        v = 0

 

        while current < distance:

            if current < mid:

                # 加速度为正2

                a = 2

            else:

                # 加速度为负3

                a = -3

            # 初速度v0

            v0 = v

            # 当前速度v = v0 + at

            v = v0 + a * t

            # 移动距离x = v0t + 1/2 * a * t^2

            move = v0 * t + 1 / 2 * a * t * t

            # 当前位移

            current += move

            # 加入轨迹

            track.append(round(move))

        return track

 

    def move_to_gap(self, slider, track):

        """

        拖动滑块到缺口处

        :param slider: 滑块

        :param track: 轨迹

        :return:

        """

        ActionChains(self.browser).click_and_hold(slider).perform()

        for x in track:

            ActionChains(self.browser).move_by_offset(xoffset=x, yoffset=0).perform()

        time.sleep(0.5)

        ActionChains(self.browser).release().perform()

 

    def login(self):

        """

        登录

        :return: None

        """

        submit = self.wait.until(EC.element_to_be_clickable((By.XPATH, '//*[@id="login"]//button')))

        function(){ //交易品种 http://www.kaifx.cn/question/kaifx/1741.html

        submit.click()

        time.sleep(10)

        print('登录成功')

 

    def crack(self):

        # 输入用户名密码

        self.open()

        # 点击验证按钮

        button = self.get_geetest_button()

        button.click()

        # 获取验证码图片

        js_1 = '''document.getElementsByClassName('geetest_canvas_fullbg')[0].style.display="block";'''

        image1 = self.get_geetest_image(name='captcha1.png', js=js_1)

        # 获取带缺口的验证码图片

        js_2 = '''document.getElementsByClassName('geetest_canvas_fullbg')[0].style.display="none";'''

        image2 = self.get_geetest_image(name='captcha2.png', js=js_2)

        # 获取缺口位置

        gap = self.get_gap(image1, image2)

        print('缺口位置', gap)

        # 减去缺口位移

        gap -= BORDER

        # 获取移动轨迹

        track = self.get_track(gap)

        print('滑动轨迹', track)

        # 拖动滑块

        slider = self.get_slider()

        self.move_to_gap(slider, track)

 

        success = self.wait.until(

            EC.text_to_be_present_in_element((By.CLASS_NAME, 'geetest_success_radar_tip_content'), '验证成功'))

        print(success)

 

        # 失败后重试

        if not success:

            self.crack()

        else:

            self.login()

 

 

if __name__ == '__main__':

    crack = CrackGeetest()

    crack.crack()