图片验证，滑块验证解决

在web端与Android端，登录时会碰到图片验证与滑块验证，解决验证问题，下面上代码

图片验证

识别图片中文字，输入验证

滑块验证解决思路

1、获取滑块滑动的距离

2、模拟拖动滑块，通过验证。

web端滑动操作

from selenium.webdriver import ActionChains

action = ActionChains(driver)

source = driver.find_element_by_xpath("//*[@id='nc_1_n1t']/span")  # 需要滑动的元素
action.click_and_hold(source).perform()  # 鼠标左键按下不放
action.move_by_offset(298, 0)  # 需要滑动的坐标
action.release().perform()  # 释放鼠标

代码操作

import cv2
import requests
from selenium import webdriver
from selenium.webdriver import ActionChains
from selenium.webdriver.common.by import By
import time

driver = webdriver.Chrome()
driver.get("https://www.douban.com/")
driver.maximize_window()

iframe = driver.find_element(By.CSS_SELECTOR, "#anony-reg-new > div > div.login > iframe")
driver.switch_to.frame(iframe)
phone = driver.find_element(By.CSS_SELECTOR,
                            "body > div.account-body.login-wrap.login-start.account-anonymous > div.account-tabcon-start > div.account-form > div:nth-child(3) > div > input")
phone.send_keys('15105408319')
time.sleep(1)
slider_ = driver.find_element(By.CSS_SELECTOR,
                              'body > div.account-body.login-wrap.login-start.account-anonymous > div.account-tabcon-start > div.account-form > div:nth-child(4) > div > div > a')
slider_.click()
time.sleep(3)
iframe = driver.find_element(By.CSS_SELECTOR, "#tcaptcha_iframe")
driver.switch_to.frame(iframe)
while True:
    # 1、获取滑块及滑板地址
    src = driver.find_element(By.CSS_SELECTOR, "#slideBg")
    bug_src_url = src.get_attribute("src")
    src = driver.find_element(By.CSS_SELECTOR, "#slideBlock")
    small_src_url = src.get_attribute("src")
    # 2、下载到本地图片
    with open("../download/big_srs.jpg", "wb") as f:
        f.write(requests.get(bug_src_url).content)
    with open("../download/small_srs.jpg", "wb") as f:
        f.write(requests.get(small_src_url).content)
    # print(bug_src_url)
    # print(small_src_url)
    # 3、图片识别，匹配滑块验证码的距离，滑块和滑板的小图重叠后x轴的距离
    # (0.5932352542877197, 0.8350041508674622, (486, 53), (172, 155))
    big = cv2.imread("../download/big_srs.jpg", 0)  # 以灰度方式加载图片
    small = cv2.imread("../download/small_srs.jpg", 0)  # 以灰度方式加载图片
    res = cv2.matchTemplate(big, small, cv2.TM_CCORR_NORMED)  # 匹配模式        小图在大图中的位置
    value_num = cv2.minMaxLoc(res)  # 匹配小图和大图最左边和最右边的位置
    print(value_num)
    x = value_num[2][0]  # 横坐标
    # 4、缩放比例及校准滑块偏移量。原图680x390，实际页面图283x162
    print(x)
    x = int(x * 283 / 680)  # 缩放比例
    print(x)
    bk = 30 - int(20 * 283 / 680)  # 偏移量
    print(bk)
    x = x - bk
    print(x)
    # 6、通过ActionChains滑动解锁
    action = ActionChains(driver)
    action.click_and_hold(src).perform()  # 鼠标左键按下不放
    # action.drag_and_drop_by_offset(src,x,0).perform()   # 滑块滑动到指定坐标
    action.move_by_offset(x, 0)  # 需要滑动的坐标
    action.release().perform()  # 释放鼠标
    try:
        driver.find_element(By.CSS_SELECTOR, "#tcStatus > div.tc-status--right.table-wrap > div:nth-child(2)")
    except:
        break
time.sleep(5)
driver.quit()

Android端滑动操作

通过scroll_from_element、flick_element 方法来实现下拉操作

TouchAction提供的一些方法：

double_tap(on_element) #双击

flick_element(on_element, xoffset, yoffset, speed) #从元素开始以指定的速度移动

long_press(on_element)　　 #长按不释放

move(xcoord, ycoord)　　 #移动到指定的位置

perform()　　 #执行链中的所有动作

release(xcoord, ycoord)　　 #在某个位置松开操作

scroll(xoffset, yoffset) #滚动到某个位置

scroll_from_element(on_element, xoffset, yoffset) #从某元素开始滚动到某个位置

tap(on_element) #单击

tap_and_hold(xcoord, ycoord) #某点按住

因为我们模拟的是移动端的H5自动化测试，首先需要我们将浏览器设置成为手机浏览器（设置之后，模拟会更加真实）

1.以元素为起点向下滑动，实现下拉操作

scroll_from_element(on_element xoffset yoffset)
on_element:开始元素滚动。
xoffset:X偏移量。
yoffset:Y偏移量。

注意：向下滑动为负数，向上滑动为正数

# 将页面滚动条拖到底部，需要设置sleep(1)
sleep(1)
driver.execute_script("window.scrollTo(0, document.body.scrollHeight);")
# driver.execute_script("window.scrollTo(0, 10000);")
# sleep(3)

import time

from selenium import webdriver

from selenium.webdriver.common.touch_actions import TouchActions

"""设置手机的大小"""

mobileEmulation = {'deviceName': 'Apple iPhone 5'}

options = webdriver.ChromeOptions()

options.add_experimental_option('mobileEmulation', mobileEmulation)

driver = webdriver.Chrome(chrome_options=options)

driver.get('http://m.test.90dichan.com')

driver.maximize_window()

"""定位操作元素"""

button = driver.find_element_by_xpath('//*[@id="pullrefresh"]/div[2]/ul/li[2]/a/div[2]/span')

time.sleep(3)

Action = TouchActions(driver)

"""从button元素像下滑动200元素"""

Action.scroll_from_element(button, 0, -200).perform()

time.sleep(3)

driver.close()

2.以元素为起点用一定速度向下滑动，实现下拉操作

flick_element(on_element, xoffset, yoffset, speed)；
on_element #操作元素定位
xoffset　　 #x轴偏移量
yoffset #y轴偏移量
speed #速度

注意：向上滑动为负数，向下滑动为正数

import time

from selenium import webdriver

from selenium.webdriver.common.touch_actions import TouchActions

"""设置手机的大小"""

mobileEmulation = {'deviceName': 'Apple iPhone 5'}

options = webdriver.ChromeOptions()

options.add_experimental_option('mobileEmulation', mobileEmulation)

driver = webdriver.Chrome(chrome_options=options)

driver.get('http://m.test.90dichan.com')

driver.maximize_window()

"""定位操作元素"""

button = driver.find_element_by_xpath('//*[@id="pullrefresh"]/div[2]/ul/li[2]/a/div[2]/span')

time.sleep(3)

Action = TouchActions(driver)

"""从button元素像下滑动200元素，以50的速度向下滑动"""

Action.flick_element(button, 0, 200, 50).perform()

time.sleep(3)

driver.close()

PC端滑块验证，模拟人工操作完整版

import cv2
import requests
from selenium import webdriver
from selenium.webdriver import ActionChains
from selenium.webdriver.common.by import By
import time

def get_show_img():
    iframe = driver.find_element(By.CSS_SELECTOR, "#anony-reg-new > div > div.login > iframe")
    driver.switch_to.frame(iframe)
    phone = driver.find_element(By.CSS_SELECTOR,
                                "body > div.account-body.login-wrap.login-start.account-anonymous > div.account-tabcon-start > div.account-form > div:nth-child(3) > div > input")
    phone.send_keys('15105408311')
    time.sleep(1)
    slider_ = driver.find_element(By.CSS_SELECTOR,
                                  'body > div.account-body.login-wrap.login-start.account-anonymous > div.account-tabcon-start > div.account-form > div:nth-child(4) > div > div > a')
    slider_.click()
    time.sleep(3)
    iframe = driver.find_element(By.CSS_SELECTOR, "#tcaptcha_iframe")
    driver.switch_to.frame(iframe)

def get_load_slider():
    count = 5
    while count > 0:
        # 1、获取滑块及滑板地址
        src = driver.find_element(By.CSS_SELECTOR, "#slideBg")
        bug_src_url = src.get_attribute("src")
        src = driver.find_element(By.CSS_SELECTOR, "#slideBlock")
        small_src_url = src.get_attribute("src")
        # 2、下载到本地图片
        with open("../download/big_srs.jpg", "wb") as f:
            f.write(requests.get(bug_src_url).content)
        with open("../download/small_srs.jpg", "wb") as f:
            f.write(requests.get(small_src_url).content)
        # 3、图片识别，匹配滑块验证码的距离，滑块和滑板的小图重叠后x轴的距离
        # (0.5932352542877197, 0.8350041508674622, (486, 53), (172, 155))
        big = cv2.imread("../download/big_srs.jpg", 0)  # 以灰度方式加载图片
        small = cv2.imread("../download/small_srs.jpg", 0)  # 以灰度方式加载图片
        res = cv2.matchTemplate(big, small, cv2.TM_CCORR_NORMED)  # 匹配模式        小图在大图中的位置
        value_num = cv2.minMaxLoc(res)  # 匹配小图和大图最左边和最右边的位置
        x = value_num[2][0]  # 横坐标
        # 4、缩放比例及校准滑块偏移量。原图680x390，实际页面图283x162
        x = int(x * 283 / 680)  # 缩放比例
        bk = 30 - int(20 * 283 / 680)  # 偏移量
        x = x - bk
        # 6、通过ActionChains滑动解锁
        action = ActionChains(driver)
        action.click_and_hold(src).perform()  # 鼠标左键按下不放
        # action.drag_and_drop_by_offset(src,x,0).perform()   # 滑块滑动到指定坐标
        # 5、模拟人工操作轨迹
        tracks = get_track(x)
        ActionChains(driver).click_and_hold(src).perform()
        for x in tracks:
            ActionChains(driver).move_by_offset(xoffset=x, yoffset=0).perform()
        ActionChains(driver).release(src).perform()
        time.sleep(3)

        # action.move_by_offset(x, 0)  # 需要滑动的坐标
        # action.release().perform()  # 释放鼠标
        try:
            driver.find_element(By.CSS_SELECTOR, "#tcStatus > div.tc-status--right.table-wrap > div:nth-child(2)")
        except:
            break
        count -= 1

def get_track(x):
    '''
    滑块移动轨迹
    初速度 v =0
    单位时间 t = 0.2
    位移轨迹 tracks = []
    当前位移 ccurrent = 0
    :param x:
    :return:
    '''
    v = 0
    t = 0.6
    tracks = []
    current = 0
    # mid = x*5/8#到达mid值开始减速
    # x = x+10
    while current < x:
        a = 2
        v0 = v
        # 单位时间内位移公式
        s = v0 * t + 0.5 * a * (t ** 2)
        # 当前位移
        current = current + s
        tracks.append(round(s))
        v = v0 + a * t

    for i in range(3):
        tracks.append(1)
    for i in range(3):
        tracks.append(-1)
    return tracks

if __name__ == "__main__":
    options = webdriver.ChromeOptions()
    options.add_argument('--no-sandbox')  # 解决DevToolsActivePort文件不存在的报错
    options.add_argument('--disable-gpu')  # 谷歌文档提到需要加上这个属性来规避bug
    driver = webdriver.Chrome(chrome_options=options)
    driver.get("https://www.douban.com/")
    driver.maximize_window()

    get_show_img()
    get_load_slider()
    time.sleep(5)
    driver.quit()

标签： chrome python 自动化

本文转载自: https://blog.csdn.net/weixin_54767527/article/details/125782752
版权归原作者 Yuno Wang 所有，如有侵权，请联系我们删除。

图片验证，滑块验证解决

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