mirror of
https://github.com/babalae/bettergi-scripts-list.git
synced 2026-03-15 03:23:22 +08:00
568 lines
14 KiB
JavaScript
568 lines
14 KiB
JavaScript
import paimon from '../assets/imgs/paimon_menu.png';
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import girl_moon from '../assets/imgs/girl_moon.png';
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import primogem from '../assets/imgs/primogem.png';
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import welkin_moon_logo from '../assets/imgs/welkin_moon_logo.png';
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/**
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* 获取图片 Mat（支持单路径 / 路径数组）
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*
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* @param {string|string[]} path 图片路径或路径数组
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* @returns {Mat|Mat[]} OpenCV Mat 或 Mat 数组
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*/
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function getImgMat(path) {
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if (path == null) {
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throw new Error('getImgMat: path 不能为空');
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}
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// 数组形式
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if (Array.isArray(path)) {
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return path.map((p, index) => {
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if (typeof p !== 'string' || !p) {
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throw new Error(`getImgMat: path[${index}] 不是有效字符串`);
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}
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return file.readImageMatSync(p);
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});
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}
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// 单个路径
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if (typeof path !== 'string') {
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throw new Error('getImgMat: path 必须是字符串或字符串数组');
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}
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return file.readImageMatSync(path);
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}
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/**
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* 通用找图/找RO（支持图片文件路径、Mat）
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* @param {string|Mat} target 图片路径或已构造的 Mat
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* @param {number} [x=0] 识别区域左上角 X
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* @param {number} [y=0] 识别区域左上角 Y
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* @param {number} [w=1920] 识别区域宽度
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* @param {number} [h=1080] 识别区域高度
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* @param {number} [timeout=1000] 识别时间上限（毫秒）
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* @param {number} [interval=50] 每次识别之间的等待间隔（毫秒）
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*
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* @returns
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* - RecognitionResult | null
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*/
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async function findImg(
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target,
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x = 0,
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y = 0,
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w = 1920,
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h = 1080,
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timeout = 1000,
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interval = 50
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) {
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const ro =
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typeof target === 'string'
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? RecognitionObject.TemplateMatch(
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file.readImageMatSync(target),
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x, y, w, h
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)
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: RecognitionObject.TemplateMatch(
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target,
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x, y, w, h
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);
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const start = Date.now();
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while (Date.now() - start <= timeout) {
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const gameRegion = captureGameRegion();
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try {
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const res = gameRegion.find(ro);
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if (!res.isEmpty()) {
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return res;
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}
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} catch (e) {
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log.error(e.toString());
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} finally {
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gameRegion.dispose();
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}
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await sleep(interval);
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}
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return null;
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}
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/**
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* 通用找图并点击（支持图片文件路径、Mat）
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* @param {string|Mat} target 图片路径或已构造的 Mat
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* @param {number} [x=0] 识别区域左上角 X
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* @param {number} [y=0] 识别区域左上角 Y
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* @param {number} [w=1920] 识别区域宽度
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* @param {number} [h=1080] 识别区域高度
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* @param {number} [timeout=1000] 识别时间上限（毫秒）
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* @param {number} [interval=50] 每次识别之间的等待间隔（毫秒）
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* @param {number} [preClickDelay=50] 点击前等待时间（毫秒）
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* @param {number} [postClickDelay=50] 点击后等待时间（毫秒）
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*
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* @returns
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* - RecognitionResult | null
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*/
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async function findImgAndClick(
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target,
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x = 0,
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y = 0,
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w = 1920,
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h = 1080,
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timeout = 1000,
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interval = 50,
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preClickDelay = 50,
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postClickDelay = 50
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) {
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const ro =
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typeof target === 'string'
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? RecognitionObject.TemplateMatch(
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file.readImageMatSync(target),
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x, y, w, h
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)
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: RecognitionObject.TemplateMatch(
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target,
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x, y, w, h
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);
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const start = Date.now();
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while (Date.now() - start <= timeout) {
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const gameRegion = captureGameRegion();
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try {
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const res = gameRegion.find(ro);
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if (!res.isEmpty()) {
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await sleep(preClickDelay);
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res.click();
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await sleep(postClickDelay);
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return res;
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}
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} finally {
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gameRegion.dispose();
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}
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await sleep(interval);
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}
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return null;
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}
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/**
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* 通用找文本（OCR）
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* @param {string|string[]} text 目标文本（单个文本或文本列表，列表时需全部匹配）
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* @param {number} [x=0] OCR 区域左上角 X
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* @param {number} [y=0] OCR 区域左上角 Y
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* @param {number} [w=1920] OCR 区域宽度
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* @param {number} [h=1080] OCR 区域高度
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* @param {number} [attempts=5] OCR 尝试次数
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* @param {number} [interval=50] 每次 OCR 之间的等待间隔（毫秒）
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*
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* @returns
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* - RecognitionResult | null
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*/
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async function findText(
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text,
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x = 0,
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y = 0,
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w = 1920,
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h = 1080,
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attempts = 5,
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interval = 50
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) {
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const keywords = (Array.isArray(text) ? text : [text])
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.map(t => t.toLowerCase());
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for (let i = 0; i < attempts; i++) {
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const gameRegion = captureGameRegion();
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try {
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const ro = RecognitionObject.Ocr(x, y, w, h);
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const results = gameRegion.findMulti(ro);
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for (let j = 0; j < results.count; j++) {
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const res = results[j];
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if (!res.isExist() || !res.text) continue;
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const ocrText = res.text.toLowerCase();
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const matched = keywords.every(k => ocrText.includes(k));
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if (matched) {
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return res;
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}
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}
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} finally {
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gameRegion.dispose();
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}
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await sleep(interval);
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}
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return null;
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}
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/**
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* 通用找文本并点击（OCR）
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* @param {string|string[]} text 目标文本（单个文本或文本列表，列表时需全部匹配）
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* @param {number} [x=0] OCR 区域左上角 X
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* @param {number} [y=0] OCR 区域左上角 Y
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* @param {number} [w=1920] OCR 区域宽度
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* @param {number} [h=1080] OCR 区域高度
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* @param {number} [attempts=5] OCR 尝试次数
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* @param {number} [interval=50] 每次 OCR 之间的等待间隔（毫秒）
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* @param {number} [preClickDelay=50] 点击前等待时间（毫秒）
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* @param {number} [postClickDelay=50] 点击后等待时间（毫秒）
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*
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* @returns
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* - RecognitionResult | null
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*/
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async function findTextAndClick(
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text,
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x = 0,
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y = 0,
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w = 1920,
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h = 1080,
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attempts = 5,
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interval = 50,
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preClickDelay = 50,
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postClickDelay = 50
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) {
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const keyword = text.toLowerCase();
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for (let i = 0; i < attempts; i++) {
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const gameRegion = captureGameRegion();
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try {
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const ro = RecognitionObject.Ocr(x, y, w, h);
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const results = gameRegion.findMulti(ro);
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for (let j = 0; j < results.count; j++) {
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const res = results[j];
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if (
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res.isExist() &&
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res.text &&
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res.text.toLowerCase().includes(keyword)
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) {
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await sleep(preClickDelay);
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res.click();
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await sleep(postClickDelay);
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return res;
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}
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}
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} finally {
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gameRegion.dispose();
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}
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await sleep(interval);
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}
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return null;
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}
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/**
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* 执行操作直到图片出现
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* @param {string|Mat} target 目标图片路径或 Mat
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* @param {() => Promise<void>} action 执行的操作函数
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* @param {number} [x=0] 识别区域左上角 X
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* @param {number} [y=0] 识别区域左上角 Y
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* @param {number} [w=1920] 识别区域宽度
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* @param {number} [h=1080] 识别区域高度
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* @param {number} [timeout=5000] 超时时间（毫秒）
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* @param {number} [interval=50] 操作和识别间隔（毫秒）
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*
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* @returns
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* - RecognitionResult | null
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*/
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async function waitUntilImgAppear(
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target,
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action,
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x = 0,
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y = 0,
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w = 1920,
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h = 1080,
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timeout = 10000,
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interval = 50
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) {
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const start = Date.now();
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while (Date.now() - start <= timeout) {
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if (action) {
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await action();
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}
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const res = await findImg(target, x, y, w, h, interval);
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if (res) return res;
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await sleep(interval);
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}
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return null;
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}
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/**
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* 执行操作直到图片消失
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* @param {string|Mat} target 目标图片路径或 Mat
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* @param {() => Promise<void>} action 执行的操作函数
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* @param {number} [x=0] 识别区域左上角 X
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* @param {number} [y=0] 识别区域左上角 Y
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* @param {number} [w=1920] 识别区域宽度
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* @param {number} [h=1080] 识别区域高度
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* @param {number} [timeout=5000] 超时时间（毫秒）
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* @param {number} [interval=50] 操作和识别间隔（毫秒）
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*
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* @returns
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* - true: 图片已消失, false: 超时
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*/
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async function waitUntilImgDisappear(
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target,
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action,
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x = 0,
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y = 0,
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w = 1920,
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h = 1080,
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timeout = 10000,
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interval = 50
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) {
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const start = Date.now();
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while (Date.now() - start <= timeout) {
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if (action) {
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await action();
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}
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const res = await findImg(target, x, y, w, h, interval);
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if (!res) return true;
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await sleep(interval);
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}
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return false;
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}
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/**
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* 执行操作直到文本出现
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* @param {string|string[]} text 目标文本（单个文本或文本列表，列表时需全部匹配）
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* @param {() => Promise<void>} action 执行的操作函数
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* @param {number} [x=0] OCR 区域左上角 X
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* @param {number} [y=0] OCR 区域左上角 Y
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* @param {number} [w=1920] OCR 区域宽度
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* @param {number} [h=1080] OCR 区域高度
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* @param {number} [attempts=5] OCR 尝试次数
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* @param {number} [interval=50] 操作和识别间隔（毫秒）
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*
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* @returns
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* - RecognitionResult | null
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*/
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async function waitUntilTextAppear(
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text,
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action,
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x = 0,
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y = 0,
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w = 1920,
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h = 1080,
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attempts = 100,
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interval = 50
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) {
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const start = Date.now();
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while (Date.now() - start <= attempts * interval) {
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if (action) {
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await action();
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}
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const res = await findText(text, x, y, w, h, 1, interval);
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if (res) return res;
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await sleep(interval);
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}
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return null;
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}
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/**
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* 执行操作直到文本消失
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* @param {string} text 目标文本
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* @param {() => Promise<void>} action 执行的操作函数
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* @param {number} [x=0] OCR 区域左上角 X
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* @param {number} [y=0] OCR 区域左上角 Y
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* @param {number} [w=1920] OCR 区域宽度
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* @param {number} [h=1080] OCR 区域高度
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* @param {number} [attempts=5] OCR 尝试次数
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* @param {number} [interval=50] 操作和识别间隔（毫秒）
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*
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* @returns
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* - true: 文本已消失, false: 超时
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*/
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async function waitUntilTextDisappear(
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text,
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action,
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x = 0,
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y = 0,
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w = 1920,
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h = 1080,
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attempts = 100,
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interval = 50
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) {
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const start = Date.now();
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while (Date.now() - start <= attempts * interval) {
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if (action) {
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await action();
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}
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const res = await findText(text, x, y, w, h, 1, interval); // 每次只试 1 次 OCR
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if (!res) return true;
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await sleep(interval);
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}
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return false;
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}
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/**
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* 根据派蒙图标判断当前是否位于主页面
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* @return {Promise<boolean>}
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* - true: 位于主页面, false: 不在主页面
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*/
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async function isInMainUI() {
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try {
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return !!(await findImg(paimon));
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} catch (e) {
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log.error("判断是否位于主页面时出错", e);
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return false;
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}
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}
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/**
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* 启动一个后台任务，用于自动月卡点击
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*
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* 使用示例：
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*
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* const watcher = startMonthCardWatcher();
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*
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* // 执行你的操作
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*
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* await watcher.cancel();
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*
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* @return {function} cancel(): 取消监听方法，调用后可以停止检测事件运行（异步）
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*/
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function startMonthCardWatcher() {
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let cancelled = false;
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const task = (async () => {
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try {
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while (!cancelled) {
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const [girl, common] = await Promise.all([
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findImg(girl_moon),
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findImg(welkin_moon_logo)
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]);
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if (girl || common) {
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log.info("检测到月卡");
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await sleep(200);
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click(100, 100);
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await sleep(200);
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}
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const stone = await findImg(primogem);
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if (stone) {
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log.info("点击原石");
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while (!cancelled) {
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await sleep(200);
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click(100, 100);
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if (await isInMainUI()) {
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log.info("已进入主页面");
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cancelled = true;
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break;
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}
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}
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}
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await sleep(1000);
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}
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} catch (e) {
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log.error("月卡监听异常", e);
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} finally {
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log.info("月卡监听任务结束");
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}
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})();
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return {
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cancel() {
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cancelled = true;
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return task;
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}
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};
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}
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/**
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* 打开背包（检测过期物品）
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*/
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async function openBag() {
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await genshin.returnMainUi();
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keyPress("B");
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await sleep(500);
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const expiredText = await findText("物品过期", 870, 280, 170, 40, 2);
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if (expiredText) {
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log.info("检测到过期物品，关闭弹窗");
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await sleep(500);
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click(980, 750);
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}
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await sleep(50);
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}
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// /**
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// * 修改分辨率为1080p(会导致截图器重启，任务全部清空，暂时无法使用，仅供参考)
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// * @return {Promise<void>}
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// */
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// async function changeTo1080P() {
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// await genshin.returnMainUi();
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// const settings_button = await waitUntilImgAppear(
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// esc_settings,
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// async () => {
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// keyPress("ESCAPE");
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// await sleep(1500);
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// }
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// );
|
||
// if (settings_button) {
|
||
// await sleep(500);
|
||
// await waitUntilImgAppear(
|
||
// page_close_white,
|
||
// async () => {
|
||
// settings_button.click();
|
||
// await sleep(500);
|
||
// }
|
||
// );
|
||
// await sleep(1000);
|
||
// } else {
|
||
// throw new Error("打开菜单超时");
|
||
// }
|
||
// await findTextAndClick("图像", 100, 200, 200, 300, 10);
|
||
// const view_mode = await findText("显示模式", 450, 200, 200, 200, 10);
|
||
// await sleep(500);
|
||
// click(view_mode.x + 1100, view_mode.y + 20);
|
||
// await sleep(200);
|
||
// moveMouseBy(0, 100);
|
||
// await sleep(200);
|
||
// for (let count = 0; count < 20; count++) {
|
||
// verticalScroll(100);
|
||
// await sleep(50);
|
||
// }
|
||
// const text_1080p = await waitUntilTextAppear(
|
||
// ["1920", "1080"],
|
||
// () => {
|
||
// verticalScroll(-100);
|
||
// },
|
||
// 1400,
|
||
// 300,
|
||
// 400,
|
||
// 600,
|
||
// 20,
|
||
// 1000
|
||
// );
|
||
// await sleep(200);
|
||
// log.info("已切换至1080P");
|
||
// click(text_1080p.x + 100, text_1080p.y + 10);
|
||
// }
|
||
|
||
export {
|
||
getImgMat,
|
||
findImg,
|
||
findImgAndClick,
|
||
findText,
|
||
findTextAndClick,
|
||
waitUntilImgAppear,
|
||
waitUntilImgDisappear,
|
||
waitUntilTextAppear,
|
||
waitUntilTextDisappear,
|
||
isInMainUI,
|
||
startMonthCardWatcher,
|
||
openBag
|
||
}; |