python自动化登录滑块处理

Python自动化登录滑块处理需要用到第三方库selenium和Pillow，具体步骤如下：

1. 安装selenium和Pillow库

pip install selenium
pip install Pillow

2. 下载Chrome浏览器驱动，将其路径添加到环境变量中

3. 编写代码，启动浏览器并打开登录页面，输入账号密码并点击登录按钮

from selenium import webdriver
from selenium.webdriver.common.action_chains import ActionChains
from PIL import Image
import time

# 启动浏览器
browser = webdriver.Chrome()
# 打开登录页面
browser.get('https://www.example.com/login')
# 输入账号密码
username = browser.find_element_by_id('username')
password = browser.find_element_by_id('password')
username.send_keys('your_username')
password.send_keys('your_password')
# 点击登录按钮
login_button = browser.find_element_by_id('login_button')
login_button.click()

4. 等待页面加载完成，获取滑块图片和滑块位置

# 等待页面加载完成
time.sleep(3)
# 获取验证码图片和滑块位置
captcha_image = browser.find_element_by_id('captcha_image')
captcha_slider = browser.find_element_by_id('captcha_slider')
captcha_image_url = captcha_image.get_attribute('src')
captcha_slider_location = captcha_slider.location
captcha_slider_size = captcha_slider.size

5. 下载验证码图片并裁剪出滑块图片

# 下载验证码图片
browser.get(captcha_image_url)
captcha_image_path = './captcha.png'
browser.get_screenshot_as_file(captcha_image_path)
# 裁剪出滑块图片
captcha_image = Image.open(captcha_image_path)
left = captcha_slider_location['x']
top = captcha_slider_location['y']
right = left + captcha_slider_size['width']
bottom = top + captcha_slider_size['height']
captcha_slider_image = captcha_image.crop((left, top, right, bottom))
captcha_slider_image.save('./captcha_slider.png')

6. 使用Pillow库计算滑块移动距离

# 计算滑块移动距离
captcha_slider_image = Image.open('./captcha_slider.png')
captcha_bg_image = Image.open('./captcha_bg.png')
width, height = captcha_slider_image.size
for x in range(width):
    for y in range(height):
        if is_pixel_equal(captcha_slider_image, captcha_bg_image, x, y) is False:
            distance = x - 6  # 滑块初始位置
            break
distance -= 8  # 减去滑块左侧空白部分的距离

7. 使用selenium模拟拖动滑块完成登录

# 模拟拖动滑块完成登录
slider_button = browser.find_element_by_id('slider_button')
ActionChains(browser).click_and_hold(slider_button).perform()
ActionChains(browser).move_by_offset(distance, 0).perform()
ActionChains(browser).release().perform()

完整代码如下：

from selenium import webdriver
from selenium.webdriver.common.action_chains import ActionChains
from PIL import Image
import time

# 判断像素是否相同
def is_pixel_equal(image1, image2, x, y):
    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

# 启动浏览器
browser = webdriver.Chrome()
# 打开登录页面
browser.get('https://www.example.com/login')
# 输入账号密码
username = browser.find_element_by_id('username')
password = browser.find_element_by_id('password')
username.send_keys('your_username')
password.send_keys('your_password')
# 点击登录按钮
login_button = browser.find_element_by_id('login_button')
login_button.click()

# 等待页面加载完成
time.sleep(3)
# 获取验证码图片和滑块位置
captcha_image = browser.find_element_by_id('captcha_image')
captcha_slider = browser.find_element_by_id('captcha_slider')
captcha_image_url = captcha_image.get_attribute('src')
captcha_slider_location = captcha_slider.location
captcha_slider_size = captcha_slider.size

# 下载验证码图片
browser.get(captcha_image_url)
captcha_image_path = './captcha.png'
browser.get_screenshot_as_file(captcha_image_path)
# 裁剪出滑块图片
captcha_image = Image.open(captcha_image_path)
left = captcha_slider_location['x']
top = captcha_slider_location['y']
right = left + captcha_slider_size['width']
bottom = top + captcha_slider_size['height']
captcha_slider_image = captcha_image.crop((left, top, right, bottom))
captcha_slider_image.save('./captcha_slider.png')

# 下载验证码背景图片
captcha_bg_image_url = 'https://www.example.com/captcha_bg'
browser.get(captcha_bg_image_url)
captcha_bg_image_path = './captcha_bg.png'
browser.get_screenshot_as_file(captcha_bg_image_path)

# 计算滑块移动距离
captcha_slider_image = Image.open('./captcha_slider.png')
captcha_bg_image = Image.open('./captcha_bg.png')
width, height = captcha_slider_image.size
for x in range(width):
    for y in range(height):
        if is_pixel_equal(captcha_slider_image, captcha_bg_image, x, y) is False:
            distance = x - 6  # 滑块初始位置
            break
distance -= 8  # 减去滑块左侧空白部分的距离

# 模拟拖动滑块完成登录
slider_button = browser.find_element_by_id('slider_button')
ActionChains(browser).click_and_hold(slider_button).perform()
ActionChains(browser).move_by_offset(distance, 0).perform()
ActionChains(browser).release().perform()