Python + Selenium 实现模拟登录jd实例分享

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# 进入登入页面

self.driver.get(self.config.login_url)

WebDriverWait(self.driver, 10).until(EC.url_to_be(self.config.login_url))

self.driver.maximize_window()

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# 点击账号登录

WebDriverWait(self.driver, 10).until(EC.element_to_be_clickable((By.XPATH, '//*[@class="login-tab login-tab-r"]/a')))

self.driver.find_element(By.XPATH, '//*[@class="login-tab login-tab-r"]/a').click()

# 账号密码输入

self.driver.find_element(By.ID, "loginname").send_keys(self.user_info.username)

self.driver.find_element(By.ID, "nloginpwd").send_keys(self.user_info.password)

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bigimg_b64 = self.driver.find_element(By.XPATH, '//*[@class="JDJRV-bigimg"]/img').get_attribute('src')

bigimg_data = base64.b64decode(bigimg_b64.replace('data:image/png;base64,', ''))

bigimg_array = np.frombuffer(bigimg_data, np.uint8)

bigimg_img = cv2.imdecode(bigimg_array, cv2.COLOR_RGB2BGR)

smallimg_b64 = self.driver.find_element(By.XPATH, '//*[@class="JDJRV-smallimg"]/img').get_attribute('src')

smallimg_data = base64.b64decode(smallimg_b64.replace('data:image/png;base64,', ''))

smallimg_array = np.frombuffer(smallimg_data, np.uint8)

smallimg_img = cv2.imdecode(smallimg_array, cv2.COLOR_RGB2BGR)

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# 灰度化

bigimg_gray = cv2.cvtColor(bigimg_img, cv2.COLOR_BGR2GRAY)

smallimg_gray = cv2.cvtColor(smallimg_img, cv2.COLOR_BGR2GRAY)

# 模板匹配

result = cv2.matchTemplate(bigimg_gray, smallimg_gray, cv2.TM_CCOEFF_NORMED)

minVal, maxVal, minLoc, maxLoc = cv2.minMaxLoc(result)

# 移动距离对应到网页需要缩放(网页显示的图片和实际图片存在一定的比例差异)

x = minLoc[0] * (278.4 / 360.0)

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WebDriverWait(self.driver, 10, 0.5).until(EC.presence_of_element_located((By.XPATH, '//*[@class="JDJRV-slide-inner JDJRV-slide-btn"]')))

slide_btn = self.driver.find_element(By.XPATH, '//*[@class="JDJRV-slide-inner JDJRV-slide-btn"]')

# TODO 网页元素位置映射到pyautogui会有一定缩放

offset_x = slide_btn.location.get('x') * 1.30

offset_y = slide_btn.location.get('y') * 1.75

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# 直接滑到目标位置--会很难通过验证(用来调试移动距离是否正确)

# pyautogui.moveTo(offset_x,offset_y,duration=0.1 + random.uniform(0,0.1 + random.randint(1,100) / 100))

# pyautogui.mouseDown()

# pyautogui.moveTo(offset_x + x * 1.25, offset_y, duration=0.28)

# pyautogui.mouseUp()

# TODO 根据验证码原图计算的移动距离也需要调一下缩放

x = x * 1.25

# 鼠标移动到滑块

pyautogui.moveTo(offset_x,offset_y,duration=0.1 + random.uniform(0,0.1 + random.randint(1,100) / 100))

# 按下鼠标

pyautogui.mouseDown()

offset_y += random.randint(9,19)

# 开始滑动

pyautogui.moveTo(offset_x + int(x * random.randint(15,25) / 20),offset_y,duration=0.28)

offset_y += random.randint(-9,0)

pyautogui.moveTo(offset_x + int(x * random.randint(17,23) / 20),offset_y,

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offset_y += random.randint(0,8)

pyautogui.moveTo(offset_x + int(x * random.randint(19,21) / 20),offset_y,

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offset_y += random.randint(-3,3)

pyautogui.moveTo(x + offset_x + random.randint(-3,3),offset_y,duration=0.5 + random.randint(-10,10) / 100)

offset_y += random.randint(-2,2)

pyautogui.moveTo(x + offset_x + random.randint(-2,2),offset_y,duration=0.5 + random.randint(-3,3) / 100)

# 松开鼠标

pyautogui.mouseUp()