300字范文 > python实现滑动京东滑块验证码

python实现滑动京东滑块验证码

时间：2018-08-15 19:00:48

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python实现滑动京东滑块验证码

前置的一些配置

验证码图片的下载

因为京东验证码底图和缺口图片都是base64的，所以在这我就用了urllib.request.urlretrieve直接去处理保存到本地了

def get_image(self):self.driver.get(self.url)self.driver.maximize_window()self.driver.find_element_by_xpath('//*[@id="content"]/div[2]/div[1]/div/div[3]/a').click()self.driver.find_element_by_xpath('//*[@id="loginname"]').send_keys(self.username)self.driver.find_element_by_xpath('//*[@id="nloginpwd"]').send_keys(self.password)self.driver.find_element_by_xpath('//*[@id="loginsubmit"]').click()self.target = self.driver.find_element_by_xpath('//*[@id="JDJRV-wrap-loginsubmit"]/div/div/div/div[1]/div[2]/div[1]/img')self.src = self.target.get_attribute('src')self.template = self.driver.find_element_by_xpath('//*[@id="JDJRV-wrap-loginsubmit"]/div/div/div/div[1]/div[2]/div[2]/img').get_attribute('src')request.urlretrieve(self.src, "target.png")request.urlretrieve(self.template, "temlate.png")

计算偏移

第一个函数先把图片进行灰度化去计算原图的移动偏移，然后第二个函数利用本地的图片尺寸和网页的尺寸计算出缩放比例，再把原本计算出的偏移进一步计算就可以得出网页上的偏移距离

def FindPic(self,target='target.png', template='temlate.png'):target_rgb = cv2.imread(target)target_gray = cv2.cvtColor(target_rgb, cv2.COLOR_RGB2GRAY)template_rgb = cv2.imread(template, 0)res = cv2.matchTemplate(target_gray, template_rgb, cv2.TM_CCOEFF_NORMED)value = cv2.minMaxLoc(res)# print(value)return value[2][0]def size(self):x = self.FindPic()img = cv2.imread('target.png')w1 = img.shape[1]w2 = self.target.size['width']self.offset = int(x * w2 / w1 + 25)print(self.offset)# self.driver.quit()

实现滑动效果

这一步确实挺难搞的，因为京东有人工智能识别的原因，用selenium滑动就会因为鼠标光标不动等一系列的原因，就算缺口滑动的正确了会不通过，这里查了很久最后采用了前辈用pyautogui库写的一个算法才解决

def Drag_the(self):The_slider = self.driver.find_element_by_xpath('//*[@id="JDJRV-wrap-loginsubmit"]/div/div/div/div[2]/div[3]')x = The_slider.location.get('x')y = The_slider.location.get('y')print(The_slider.location, ',kw_x = ', x, ',kw_y = ', y)xx = x + self.offsetpyautogui.moveTo(x+24, y+127, duration=0.1)pyautogui.mouseDown()y += random.randint(9, 19)pyautogui.moveTo(x + int(self.offset * random.randint(15, 23) / 20), duration=0.28)y += random.randint(-9, 0)pyautogui.moveTo(x + int(self.offset * random.randint(17, 21) / 20), duration=(random.randint(20, 31)) / 100)y += random.randint(0, 8)pyautogui.moveTo(xx, duration=0.3)pyautogui.mouseUp()

完整代码

from urllib import requestimport cv2from selenium import webdriver# from random import randomimport pyautoguifrom numpy import randomclass JD_Verification_code():def __init__(self):self.url = '/new/login.aspx?ReturnUrl=https%3A%2F%%2F'self.driver = webdriver.Chrome()self.wath = self.driver.implicitly_wait(10)self.username = '123456789'self.password = '123456789'def get_image(self):self.driver.get(self.url)self.driver.maximize_window()self.driver.find_element_by_xpath('//*[@id="content"]/div[2]/div[1]/div/div[3]/a').click()self.driver.find_element_by_xpath('//*[@id="loginname"]').send_keys(self.username)self.driver.find_element_by_xpath('//*[@id="nloginpwd"]').send_keys(self.password)self.driver.find_element_by_xpath('//*[@id="loginsubmit"]').click()self.target = self.driver.find_element_by_xpath('//*[@id="JDJRV-wrap-loginsubmit"]/div/div/div/div[1]/div[2]/div[1]/img')self.src = self.target.get_attribute('src')self.template = self.driver.find_element_by_xpath('//*[@id="JDJRV-wrap-loginsubmit"]/div/div/div/div[1]/div[2]/div[2]/img').get_attribute('src')request.urlretrieve(self.src, "target.png")request.urlretrieve(self.template, "temlate.png")def FindPic(self,target='target.png', template='temlate.png'):target_rgb = cv2.imread(target)target_gray = cv2.cvtColor(target_rgb, cv2.COLOR_RGB2GRAY)template_rgb = cv2.imread(template, 0)res = cv2.matchTemplate(target_gray, template_rgb, cv2.TM_CCOEFF_NORMED)value = cv2.minMaxLoc(res)# print(value)return value[2][0]def size(self):x = self.FindPic()img = cv2.imread('target.png')w1 = img.shape[1]w2 = self.target.size['width']self.offset = int(x * w2 / w1 + 25)print(self.offset)# self.driver.quit()def Drag_the(self):The_slider = self.driver.find_element_by_xpath('//*[@id="JDJRV-wrap-loginsubmit"]/div/div/div/div[2]/div[3]')x = The_slider.location.get('x')y = The_slider.location.get('y')print(The_slider.location, ',kw_x = ', x, ',kw_y = ', y)xx = x + self.offsetpyautogui.moveTo(x+24, y+127, duration=0.1)pyautogui.mouseDown()y += random.randint(9, 19)pyautogui.moveTo(x + int(self.offset * random.randint(15, 23) / 20), duration=0.28)y += random.randint(-9, 0)pyautogui.moveTo(x + int(self.offset * random.randint(17, 21) / 20), duration=(random.randint(20, 31)) / 100)y += random.randint(0, 8)pyautogui.moveTo(xx, duration=0.3)pyautogui.mouseUp()jd = JD_Verification_code()jd.get_image()jd.FindPic()jd.size()jd.Drag_the()

结尾

搞了一夜写完的时候天已经亮了就没有写识别错误后的重试循环，加上接触python的时间不长，部分代码写的可能不太行

参考的文章和视频视频链接：

/qq_36853469/article/details/100580753?ops_request_misc=%25257B%252522request%25255Fid%252522%25253A%252522160707993219724838586592%252522%25252C%252522scm%252522%25253A%2525220713.130102334…%252522%25257D&request_id=160707993219724838586592&biz_id=0&utm_medium=distribute.pc_search_result.none-task-blog-2alltop_click~default-1-100580753.first_rank_v2_pc_rank_v29&utm_term=%E4%BA%AC%E4%B8%9C%E9%AA%8C%E8%AF%81%E7%A0%81

/video/BV1cC4y1Y7Wm

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