滑动验证码

滑动多长的距离

图片拼接

import re
import time
import random
import requests
from io import BytesIO
from PIL import Image
from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By

driver = webdriver.Chrome()

driver.get(‘http://www.cnbaowen.net/api/geetest/‘)

#判断滑块是否加载完成
element = WebDriverWait(driver, 20, 0.5).until(EC.element_to_be_clickable((By.CLASS_NAME,‘get_slider_knob gt_show‘)))

def get_image(driver, div_path):
    #匹配图片地址
    background_images = driver.find_elements_by_xpath(div_path)
    locations = []


    for background_images in background_images:
        locations = {}
        result = background_images.get_attribute(‘style‘)
        r = re.findall(r‘background-images:url\("(.*?)"\);background-position:(.*?)px (.*?)px;‘, result)
        locations.append({‘x‘:int(r[0][1]),‘y‘:int(r[0][2])})
        image_url = r[0][0]

    image_response = requests.get(image_url).content

    image = BytesIO(image_response)

    image = merge_image(image, locations)

    return image


def merge_image(image, locations):
    """
    根据坐标对图片进行还原
    :param image:
    :param locations:
    :return:
    """
    im = Image.open(image)
    im_list_upper = []
    im_list_down = []

    for location in locations:
        if location[‘y‘] == -58:
            im_list_upper.append(im.crop((abs(location[‘x‘]), 58, abs(location[‘x‘]) + 10, 116)))
        if location[‘y‘] == 0:
            im_list_down.append(im.crop((abs(location[‘x‘]), 0, abs(location[‘x‘]) + 10, 58)))

    new_im = Image.new(‘RGB‘, (260, 116), (255, 255, 255))

    x_offset = 0
    for i in im_list_upper:
        new_im.paste(i, (x_offset, 0))
        x_offset += 10

    x_offset = 0
    for i in im_list_down:
        new_im.paste(i, (x_offset, 58))
        x_offset += 10

    return new_im

def get_track(distance):
    """
    模拟正常用户的滑动轨迹
    匀加速
    :param distance:
    :return:
    """
    #初速度
    v = 0
    #单位时间 秒
    t = 0.2
    #当前移动的x的坐标
    current = 0

    #位移的轨迹
    tracks = []
    distance += 10

    #阀值
    mid = distance * 7/8

    while current < distance:
        if current < mid:
            #加速度
            a = random.randint(2, 4)
        else:
            a = random.randint(3, 5)
        v0 = v
        #单位时间的位移
        s = v0 * t + 0.5*a * (t ** 2)
        current += s
        v = v0 + a*t
        tracks.append(round(s))
    for i in range(3):
        tracks.append(-random.randint(1, 3))
    for i in range(3):
        tracks.append(-random.randint(2, 3))

    return tracks

def is_sim(image1, image2, x, y):
    """
    对比两张图片RGB的值
    :param image1:
    :param image2:
    :param x:
    :param y:
    :return:
    """
    pixel1 = image1.getpixel((x,y))
    pixel2 = image2.getpixel((x,y))

    for i in range(0, 3):
        if abs(pixel1[i] - pixel2[i]) >= 50:
            return False
        return True

def get_diff_location(image1, image2):
    """
    计算缺口的位置 x坐标
    :param image1:
    :param image2:
    :return:
    """
    image1.save(‘1,jpg‘)
    image2.save(‘2,jpg‘)

    for x in range(0,260):
        for y in range(0, 116):
            if is_sim(image1, image2, x, y ) == False:
                return x



image1 = get_image(driver, ‘//div[@class="get_cut_fullbg gt_show"]/div‘)  #merge_image(image, locations)

image2 = merge_image(driver, ‘//div[@class="get_cut_fullbg gt_show"]/div‘)

#计算缺口的坐标
loc = get_diff_location(image1, image2)

#计算运动的轨迹
tracks = get_track(loc)


#按住滑块
ActionChains(driver).click_and_hold(on_element=element).perform()

time.sleep(0.5)

#滑动滑块
for track in tracks:
    ActionChains(driver).move_by_offset(xoffset=loc, yoffset=0).perform()

time.sleep(0.4)
#释放滑块
ActionChains(driver).release(on_element=element).perform()


time.sleep(10)

滑动验证码

原文：https://www.cnblogs.com/wdty/p/10658834.html