iOSAI/Utils/AiUtils.py

import os
import re
import cv2
import numpy as np
import wda
from Utils.LogManager import LogManager
import xml.etree.ElementTree as ET

# 工具类
class AiUtils(object):

    # 在屏幕中找到对应的图片
    @classmethod
    def findImageInScreen(cls, target, udid):
        try:
            # 加载原始图像和模板图像
            image_path = AiUtils.imagePathWithName(udid,"bgv")  # 替换为你的图像路径
            template_path = AiUtils.imagePathWithName("", target)  # 替换为你的模板路径

            # 读取图像和模板，确保它们都是单通道灰度图
            image = cv2.imread(image_path, cv2.IMREAD_GRAYSCALE)
            template = cv2.imread(template_path, cv2.IMREAD_GRAYSCALE)

            if image is None:
                LogManager.error("加载背景图失败")
                return -1, -1

            if template is None:
                LogManager.error("加载模板图失败")
                return -1, -1

            # 获取模板的宽度和高度
            w, h = template.shape[::-1]

            # 使用模板匹配方法
            res = cv2.matchTemplate(image, template, cv2.TM_CCOEFF_NORMED)
            threshold = 0.7  # 匹配度阈值，可以根据需要调整
            loc = np.where(res >= threshold)

            # 检查是否有匹配结果
            if loc[0].size > 0:
                # 取第一个匹配位置
                pt = zip(*loc[::-1]).__next__()  # 获取第一个匹配点的坐标
                center_x = int(pt[0] + w // 2)
                center_y = int(pt[1] + h // 2)
                # print(f"第一个匹配到的小心心中心坐标: ({center_x}, {center_y})")
                return center_x, center_y
            else:
                return -1, -1
        except Exception as e:
            LogManager.error(f"加载素材失败：{e}", udid)
            print(e)
            return -1, -1

    # 使用正则查找字符串中的数字
    @classmethod
    def findNumber(cls, str):
        # 使用正则表达式匹配数字
        match = re.search(r'\d+', str)
        if match:
            return int(match.group())  # 将匹配到的数字转换为整数
        return None  # 如果没有找到数字，返回 None


    # 选择截图
    @classmethod
    def screenshot(cls):
        client = wda.USBClient("eca000fcb6f55d7ed9b4c524055214c26a7de7aa")
        session = client.session()
        image = session.screenshot()
        image_path = "screenshot.png"
        image.save(image_path)
        image = cv2.imread(image_path)

        # 如果图像过大，缩小显示
        scale_percent = 50  # 缩小比例
        width = int(image.shape[1] * scale_percent / 100)
        height = int(image.shape[0] * scale_percent / 100)
        dim = (width, height)
        resized_image = cv2.resize(image, dim, interpolation=cv2.INTER_AREA)

        # 创建一个窗口并显示缩小后的图像
        cv2.namedWindow("Image")
        cv2.imshow("Image", resized_image)
        print("请在图像上选择爱心图标区域，然后按Enter键确认。")

        # 使用selectROI函数手动选择区域
        roi = cv2.selectROI("Image", resized_image, showCrosshair=True, fromCenter=False)

        # 将ROI坐标按原始图像尺寸放大
        x, y, w, h = roi
        x = int(x * image.shape[1] / resized_image.shape[1])
        y = int(y * image.shape[0] / resized_image.shape[0])
        w = int(w * image.shape[1] / resized_image.shape[1])
        h = int(h * image.shape[0] / resized_image.shape[0])

        # 根据选择的ROI提取爱心图标
        if w > 0 and h > 0:  # 确保选择的区域有宽度和高度
            heart_icon = image[y:y + h, x:x + w]

            # 转换为HSV颜色空间
            hsv = cv2.cvtColor(heart_icon, cv2.COLOR_BGR2HSV)

            # 定义红色的HSV范围
            lower_red1 = np.array([0, 120, 70])
            upper_red1 = np.array([10, 255, 255])
            lower_red2 = np.array([170, 120, 70])
            upper_red2 = np.array([180, 255, 255])

            # 创建掩模
            mask1 = cv2.inRange(hsv, lower_red1, upper_red1)
            mask2 = cv2.inRange(hsv, lower_red2, upper_red2)
            mask = mask1 + mask2

            # 反转掩模，因为我们想要的是爱心图标，而不是背景
            mask_inv = cv2.bitwise_not(mask)

            # 应用掩模
            heart_icon = cv2.bitwise_and(heart_icon, heart_icon, mask=mask_inv)

            # 创建一个全透明的背景
            height, width, channels = heart_icon.shape
            roi = np.zeros((height, width, channels), dtype=np.uint8)

            # 将爱心图标粘贴到透明背景上
            for c in range(channels):
                roi[:, :, c] = np.where(mask_inv == 255, heart_icon[:, :, c], roi[:, :, c])

            # 图片名称
            imgName = "temp.png"

            # 保存结果
            cv2.imwrite(imgName, roi)

            # 显示结果
            cv2.imshow("Heart Icon with Transparent Background", roi)
            cv2.waitKey(0)
            cv2.destroyAllWindows()
        else:
            print("未选择有效区域。")


    # 根据名称获取图片完整地址
    @classmethod
    def imagePathWithName(cls, udid, name):
        current_file_path = os.path.abspath(__file__)
        # 获取当前文件所在的目录（即script目录）
        current_dir = os.path.dirname(current_file_path)
        # 由于script目录位于项目根目录下一级，因此需要向上一级目录移动两次
        project_root = os.path.abspath(os.path.join(current_dir, '..'))
        # 构建资源文件的完整路径，向上两级目录，然后进入 resources 目录
        resource_path = os.path.abspath(os.path.join(project_root, "resources", udid, name + ".png")).replace('/', '\\')
        return resource_path

    # 获取根目录
    @classmethod
    def getRootDir(cls):
        current_file = os.path.abspath(__file__)
        # 获取当前文件所在的目录
        current_dir = os.path.dirname(current_file)
        # 获取项目根目录（假设根目录是当前文件的父目录的父目录）
        project_root = os.path.dirname(current_dir)
        # 返回根目录
        return project_root


    # 创建一个以udid命名的目录
    @classmethod
    def makeUdidDir(cls, udid):
        # 获取项目根目录
        home = cls.getRootDir()
        # 拼接 resources 目录的路径
        resources_dir = os.path.join(home, "resources")
        # 拼接 udid 目录的路径
        udid_dir = os.path.join(resources_dir, udid)
        # 检查 udid 目录是否存在，如果不存在则创建
        if not os.path.exists(udid_dir):
            try:
                os.makedirs(udid_dir)
                LogManager.info(f"目录 {udid_dir} 创建成功", udid)
                print(f"目录 {udid_dir} 创建成功")
            except Exception as e:
                print(f"创建目录时出错: {e}")
                LogManager.error(f"创建目录时出错: {e}", udid)
        else:
            LogManager.info(f"目录 {udid_dir} 已存在，跳过创建", udid)
            print(f"目录 {udid_dir} 已存在，跳过创建")

    # 查找首页按钮
    # uuid 设备id
    # click 是否点击该按钮
    @classmethod
    def findHomeButton(cls, udid="eca000fcb6f55d7ed9b4c524055214c26a7de7aa"):
        client = wda.USBClient(udid)
        session = client.session()
        session.appium_settings({"snapshotMaxDepth": 10})
        homeButton = session.xpath("//*[@label='首页']")
        try:
            if homeButton.label == "首页":
                print("找到了")
                return homeButton
            else:
                print("没找到")
                return None
        except Exception as e:
            print(e)
            return None


    # 查找关闭按钮
    @classmethod
    def findLiveCloseButton(cls,udid="eca000fcb6f55d7ed9b4c524055214c26a7de7aa"):
        client = wda.USBClient(udid)
        session = client.session()
        session.appium_settings({"snapshotMaxDepth": 10})
        r = session.xpath("//XCUIElementTypeButton[@name='关闭屏幕']")
        try:
            if r.label == "关闭屏幕":
                return r
            else:
                return None
        except Exception as e:
            print(e)
            return None

    # 获取直播间窗口数量
    @classmethod
    def count_add_by_xml(cls, session):
        xml = session.source()
        root = ET.fromstring(xml)
        return sum(
            1 for e in root.iter()
            if e.get('type') in ('XCUIElementTypeButton', 'XCUIElementTypeImage')
            and (e.get('name') == '添加' or e.get('label') == '添加')
            and (e.get('visible') in (None, 'true'))
        )

    # 获取当前屏幕上的节点
    @classmethod
    def getCurrentScreenSource(cls):
        client = wda.USBClient("eca000fcb6f55d7ed9b4c524055214c26a7de7aa")
        print(client.source())

# AiUtils.getCurrentScreenSource()