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import random
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from selenium import webdriver
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from selenium.webdriver import ActionChains
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from selenium.webdriver.common.by import By
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from selenium.webdriver.support.ui import WebDriverWait
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from selenium.webdriver.support import expected_conditions as EC
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import time
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import cv2
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import pytesseract
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import requests
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import os
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import numpy as np
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from io import BytesIO
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from PIL import Image
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from selenium.webdriver import ChromeOptions
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# 下载图片到本地
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def get_image(img_url,imgname):
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# 以流的形式下载文件
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image=requests.get(img_url,stream=True)
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# str.join()方法用于将序列中的元素以指定的字符(str)连接生成一个新的字符串
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imgName = ''.join(["./", imgname])
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with open(imgName, 'wb') as f:
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for chunk in image.iter_content(chunk_size=1024): # 循环写入 chunk_size：每次下载的数据大小
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if chunk:
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f.write(chunk)
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f.flush()
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f.close()
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def get_image_offset(background_image_url, slider_image_url):
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back_image = 'back_image.png' # 背景图像命名
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slider_image = 'slider_image.png' # 滑块图像命名
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get_image(background_image_url, back_image)
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get_image(slider_image_url, slider_image)
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# 获取图片并灰度化
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block = cv2.imread(slider_image, 0)
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template = cv2.imread(back_image, 0)
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w, h = block.shape[::-1]
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# print(w, h)
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# 二值化后图片名称
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block_name = 'block.jpg'
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template_name = 'template.jpg'
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# 保存二值化后的图片
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cv2.imwrite(block_name, block)
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cv2.imwrite(template_name, template)
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block = cv2.imread(block_name)
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block = cv2.cvtColor(block, cv2.COLOR_RGB2GRAY)
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block = abs(255 - block)
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cv2.imwrite(block_name, block)
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block = cv2.imread(block_name)
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template = cv2.imread(template_name)
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# 获取偏移量
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# 模板匹配，查找block在template中的位置，返回result是一个矩阵，是每个点的匹配结果
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result = cv2.matchTemplate(block, template, cv2.TM_CCOEFF_NORMED)
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x, y = np.unravel_index(result.argmax(), result.shape)
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print(x, y)
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# 由于获取到的验证码图片像素与实际的像素有差(实际：280*158 原图：680*390)，故对获取到的坐标进行处理
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offset = y * (295 / 680)
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# 画矩形圈出匹配的区域
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# 参数解释：1.原图 2.矩阵的左上点坐标 3.矩阵的右下点坐标 4.画线对应的rgb颜色 5.线的宽度
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cv2.rectangle(template, (y, x), (y + w, x + h), (7, 249, 151), 2)
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show(template)
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return offset
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# 显示图片
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def show(name):
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cv2.imshow('Show', name)
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cv2.waitKey(0)
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cv2.destroyAllWindows()
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driver = webdriver.Chrome()
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# 打开登录页面
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driver.get('https://www.tadu.com/v3/loginpage?logintype=taduphone')
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# 等待账号输入框可见
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# 去除浏览器识别
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option = ChromeOptions()
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#隐藏浏览器
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option.add_argument('--headlless')
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option.add_argument('--disable-gpu')
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# 实现规避检测
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option.add_experimental_option('excludeSwitches', ['enable-automation'])
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option.add_experimental_option("detach", True)
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# 采取去除特征识别，即以下两行代码。
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script = 'Object.defineProperty(navigator, "webdriver", {get: () => false,});'
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driver.execute_script(script)
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js = 'return window.navigator.webdriver'
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print(driver.execute_script(js)) # 可以直接在终端输出webdriver检测结果
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option.add_experimental_option('excludeSwitches', ['enable-automation'])
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option.add_experimental_option("detach", True)
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account_switch=WebDriverWait(driver, 10).until(EC.presence_of_element_located((By.ID, 'phoneAccountSwitch')))
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account_switch.click()
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username_input = WebDriverWait(driver, 10).until(EC.presence_of_element_located((By.CLASS_NAME, 'accountInput')))
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password_input = WebDriverWait(driver, 10).until(EC.presence_of_element_located((By.CLASS_NAME, 'accountPass')))
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username_input.send_keys('td188310339') # 用户名
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password_input.send_keys('Aa123456') # 密码
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submit = WebDriverWait(driver, 10).until(EC.presence_of_element_located((By.CLASS_NAME, 'accountLogin_bt')))
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submit.click()
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frame=WebDriverWait(driver, 10).until(EC.presence_of_element_located((By.ID, 'tcaptcha_iframe')))
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driver.switch_to.frame(frame)
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time.sleep(10)
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img=WebDriverWait(driver, 10).until(EC.presence_of_element_located((By.ID, 'slideBg')))
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image_url = img.get_attribute('src') # 图片的URL
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img2=WebDriverWait(driver, 10).until(EC.presence_of_element_located((By.ID, 'slideBlock')))
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image2_url = img2.get_attribute('src') # 图片的URL
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x=get_image_offset(image_url,image2_url)
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print(x)
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drag_button =WebDriverWait(driver, 10).until(EC.presence_of_element_located((By.ID, 'tcaptcha_drag_thumb')))
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ActionChains(driver).click_and_hold(drag_button).perform()
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time.sleep(0.5)
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# 遍历轨迹进行滑动
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time.sleep(0.01)
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ActionChains(driver).drag_and_drop_by_offset(drag_button,x,0).perform()
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drag_button.click()
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time.sleep(2)
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cookies = driver.get_cookies()
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cookies=''.join([f'{cookie["name"]}={cookie["value"]};' for cookie in cookies])
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print(cookies)
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