selenium

import time
import pyautogui
import cv2
import time
from selenium.webdriver import Edge
from selenium.webdriver.common.by import By






def get_xy(img_model_path):
"""
用来判定游戏画面的点击坐标
:param img_model_path:用来检测的图片
:return:以元组形式返回检测到的区域中心的坐标
"""
# 将图片截图并且保存
pyautogui.screenshot().save("g:/comic_pic/screenshot.png")
# 待读取图像
img = cv2.imread("g:/comic_pic/screenshot.png")
# 图像模板
img_terminal = cv2.imread(img_model_path)
# 读取模板的高度宽度和通道数
height, width, channel = img_terminal.shape
# 使用matchTemplate进行模板匹配（标准平方差匹配）
result = cv2.matchTemplate(img, img_terminal, cv2.TM_SQDIFF_NORMED)
# 解析出匹配区域的左上角图标
upper_left = cv2.minMaxLoc(result)[2]
# 计算出匹配区域右下角图标（左上角坐标加上模板的长宽即可得到）
lower_right = (upper_left[0] + width, upper_left[1] + height)
# 计算坐标的平均值并将其返回
avg = (int((upper_left[0] + lower_right[0]) / 2), int((upper_left[1] + lower_right[1]) / 2))
return avg

def auto_Click(var_avg):
pyautogui.click(var_avg[0], var_avg[1], button='left')
time.sleep(2)

def routine(img_model_path, name):
avg = get_xy(img_model_path)
print(f"正在点击{name}")
time.sleep(1)
auto_Click(avg)


def click():
routine('g:/comic_pic/confirm.PNG', '点击确定')
time.sleep(3)


web=Edge()
web.get('http://www.qiximh4.com/24363/')
time.sleep(5)

click()
time.sleep(3)
el=web.find_element(by=By.XPATH,value='/html/body//div[@class="cy_plist"]//li/a')
el.click()
time.sleep(3)
chapter=web.find_elements(by=By.XPATH,value='/html//body//div[@class="chapter-img-box"]/img')
for i in chapter:
url=i.get_attribute("src")
print(url)