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js：锄地一条龙1.4.0 (#1568)

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* js：锄地一条龙1.4.0

### 1.4.0（2025.08.12）
1.增加拾取模式，模板匹配拾取并设为默认项，之前的拾取模式改名为ocr拾取

* js：性能测试

增加自定义配置选择测试项目和识图区域大小

* js：锄地一条龙

适当增加拾取后延时
This commit is contained in:
mno
2025-08-12 16:26:17 +08:00
committed by GitHub
parent 38f662590c
commit fbf7fcd245
13 changed files with 194 additions and 72 deletions
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130
repo/js/AutoHoeingOneDragon/main.js
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@@ -1,9 +1,9 @@
//当前js版本 1.3.8
//当前js版本 1.4.0
//拾取时上下滑动的时间
const timeMoveUp = 500;
const timeMoveDown = 1000;
const pickupMode = settings.pickupMode || "js拾取，默认只拾取狗粮和晶蝶";
let timeMoveUp = 500;
let timeMoveDown = 1000;
let pickupMode = settings.pickupMode || "模板匹配拾取，默认只拾取狗粮";
if (settings.activeDumperMode) { //处理泥头车信息
dumpers = settings.activeDumperMode.split('，').map(Number).filter(num => num === 1 || num === 2 || num === 3 || num === 4);
} else {
@@ -11,10 +11,13 @@ if (settings.activeDumperMode) { //处理泥头车信息
}
trigger = (+settings.trigger || 50);
let gameRegion;
let targetItemPath = "assets/targetItems";
let targetItems;
(async function () {
//自定义配置处理
const operationMode = settings.operationMode || "运行锄地路线";
if (pickupMode === "js拾取，默认只拾取狗粮和晶蝶") pickupMode = "模板匹配拾取，默认只拾取狗粮";
let k = settings.efficiencyIndex;
// 空字符串、null、undefined 或非数字 → 0.5
@@ -53,6 +56,16 @@ let gameRegion;
const whitelistKeywords = ocrPickupJson["白名单"];
const blacklistKeywords = ocrPickupJson["黑名单"];
targetItems = await readFolder(targetItemPath, false);
//模板匹配对象处理
if (settings.pickupMode === "模板匹配拾取，默认只拾取狗粮") {
for (const targetItem of targetItems) {
targetItem.template = file.ReadImageMatSync(targetItem.fullPath);
targetItem.itemName = targetItem.fileName.replace(/\.png$/, '');
}
timeMoveUp = trigger * 8;
timeMoveDown = trigger * 8;
}
if (!settings.accountName) {
for (let i = 0; i < 120; i++) {
// 原始文本
@@ -487,12 +500,13 @@ async function runPath(pathFilePath, map_name, whitelistKeywords, blacklistKeywo
async function isMainUI() {
// 修改后的图像路径
const imagePath = "assets/MainUI.png";
// 修改后的识别区域（左上角区域）
const xMin = 0;
const yMin = 0;
const width = 150; // 识别区域宽度
const height = 150; // 识别区域高度
let template = file.ReadImageMatSync(imagePath);
let recognitionObject = RecognitionObject.TemplateMatch(template, xMin, yMin, width, height);
// 尝试次数设置为 3 次
const maxAttempts = 3;
@@ -500,8 +514,7 @@ async function runPath(pathFilePath, map_name, whitelistKeywords, blacklistKeywo
let attempts = 0;
while (attempts < maxAttempts && !state.cancelRequested) {
try {
let template = file.ReadImageMatSync(imagePath);
let recognitionObject = RecognitionObject.TemplateMatch(template, xMin, yMin, width, height);
gameRegion = captureGameRegion();
let result = gameRegion.find(recognitionObject);
gameRegion.dispose();
@@ -534,15 +547,14 @@ async function runPath(pathFilePath, map_name, whitelistKeywords, blacklistKeywo
const yMin = 200;
const width = 1000; // 识别区域宽度
const height = 250; // 识别区域高度
let template = file.ReadImageMatSync(imagePath);
let recognitionObject = RecognitionObject.TemplateMatch(template, xMin, yMin, width, height);
// 尝试次数设置为 10 次
const maxAttempts = 10;
let attempts = 0;
while (attempts < maxAttempts && !state.cancelRequested) {
try {
let template = file.ReadImageMatSync(imagePath);
let recognitionObject = RecognitionObject.TemplateMatch(template, xMin, yMin, width, height);
gameRegion = captureGameRegion();
let result = gameRegion.find(recognitionObject);
gameRegion.dispose();
@@ -578,11 +590,10 @@ async function runPath(pathFilePath, map_name, whitelistKeywords, blacklistKeywo
}
// 定义一个函数用于执行OCR识别和交互
async function performOcrAndInteract(imagePath, whitelistKeywords, textxRange, texttolerance) {
async function recoginzeAndInteract(imagePath, whitelistKeywords, textxRange, texttolerance) {
async function performOcr(whitelistKeywords, xRange, yRange) {
try {
// 在捕获的区域内进行OCR识别
gameRegion = captureGameRegion();
let resList = gameRegion.findMulti(RecognitionObject.ocr(
xRange.min, yRange.min,
xRange.max - xRange.min, yRange.max - yRange.min
@@ -614,14 +625,36 @@ async function runPath(pathFilePath, map_name, whitelistKeywords, blacklistKeywo
}
}
async function performTemplateMatch(centerYF) {
try {
let result;
let itemName = null;
// 在捕获的区域内进行模板匹配识别
for (const targetItem of targetItems) {
let recognitionObject = RecognitionObject.TemplateMatch(targetItem.template, 1220, centerYF - 35, 70, 70);
result = gameRegion.find(recognitionObject);
if (result.isExist()) {
itemName = targetItem.itemName;
//log.info(`调试-距离为${result.y + result.height / 2 - centerYF}`);
break;
}
}
gameRegion.dispose();
return itemName;
} catch (error) {
log.error(`模板匹配时发生异常: ${error.message}`);
return [];
}
}
while (!state.completed && !state.cancelRequested) {
// 尝试找到 F 图标并返回其坐标
async function findFIcon(imagePath, xMin, yMin, width, height, timeout = 500) {
let template = file.ReadImageMatSync(imagePath);
let recognitionObject = RecognitionObject.TemplateMatch(template, xMin, yMin, width, height);
let startTime = Date.now();
while (Date.now() - startTime < timeout && !state.cancelRequested) {
try {
let template = file.ReadImageMatSync(imagePath);
let recognitionObject = RecognitionObject.TemplateMatch(template, xMin, yMin, width, height);
gameRegion = captureGameRegion();
let result = gameRegion.find(recognitionObject);
if (result.isExist()) {
@@ -655,39 +688,47 @@ async function runPath(pathFilePath, map_name, whitelistKeywords, blacklistKeywo
}
continue;
}
// 获取 F 图标的中心点 Y 坐标
let centerYF = fRes.y + fRes.height / 2;
// 在当前屏幕范围内进行 OCR 识别
let ocrResults = await performOcr(whitelistKeywords, textxRange, { min: fRes.y - texttolerance, max: fRes.y + fRes.height + texttolerance * 2 });
// 检查所有目标文本是否在当前页面中
let foundTarget = false;
for (let ocrResult of ocrResults) {
// 检查是否包含黑名单关键词
let containsBlacklistKeyword = blacklistKeywords.some(blacklistKeyword => ocrResult.text.includes(blacklistKeyword));
if (containsBlacklistKeyword) {
continue;
}
// 获取 F 图标的中心点 Y 坐标
let centerYF = Math.round(fRes.y + fRes.height / 2);
if (settings.pickupMode === "ocr拾取，默认只拾取狗粮和晶蝶") {
// 在当前屏幕范围内进行 OCR 识别
let ocrResults = await performOcr(whitelistKeywords, textxRange, { min: fRes.y - texttolerance, max: fRes.y + fRes.height + texttolerance * 2 });
// 计算目标文本的中心Y坐标
let centerYTargetText = ocrResult.y + ocrResult.height / 2;
if (Math.abs(centerYTargetText - centerYF) <= texttolerance) {
keyPress("F"); // 执行交互操作
await sleep(trigger); // 操作后暂停 50 毫秒
foundTarget = true;
if ((new Date() - lastPickupTime) > 1000 || ocrResult.text != lastPickupItem) {
log.info(`交互或拾取："${ocrResult.text}"`);
lastPickupTime = new Date();
lastPickupItem = ocrResult.text;
// 检查所有目标文本是否在当前页面中
for (let ocrResult of ocrResults) {
// 检查是否包含黑名单关键词
let containsBlacklistKeyword = blacklistKeywords.some(blacklistKeyword => ocrResult.text.includes(blacklistKeyword));
if (containsBlacklistKeyword) {
continue;
}
// 计算目标文本的中心Y坐标
let centerYTargetText = ocrResult.y + ocrResult.height / 2;
if (Math.abs(centerYTargetText - centerYF) <= texttolerance) {
keyPress("F"); // 执行交互操作
await sleep(2 * trigger); // 操作后暂停 2*trigger 毫秒
foundTarget = true;
if ((new Date() - lastPickupTime) > 1000 || ocrResult.text != lastPickupItem) {
log.info(`交互或拾取："${ocrResult.text}"`);
lastPickupTime = new Date();
lastPickupItem = ocrResult.text;
}
break;
}
break;
}
}
} else if (settings.pickupMode === "模板匹配拾取，默认只拾取狗粮") {
let start = new Date();
let itemName = await performTemplateMatch(centerYF);
let end = new Date();
//log.info(`调试-匹配用时${end - start}毫秒`)
if (itemName) {
keyPress("F"); // 执行交互操作
log.info(`交互或拾取："${itemName}"`);
await sleep(2 * trigger); // 操作后暂停 2*trigger 毫秒
foundTarget = true;
}
}
// 如果在当前页面中没有找到任何目标文本，则根据时间决定滚动方向
if (!foundTarget) {
const currentTime = new Date().getTime(); // 获取当前时间（毫秒）
@@ -710,6 +751,7 @@ async function runPath(pathFilePath, map_name, whitelistKeywords, blacklistKeywo
// 否则执行下翻
await keyMouseScript.runFile(`assets/滚轮上翻.json`);
}
await sleep(Math.round(trigger / 5));
}
if (state.cancelRequested) {
@@ -832,8 +874,8 @@ async function runPath(pathFilePath, map_name, whitelistKeywords, blacklistKeywo
// 根据条件决定是否启动 OCR 检测和交互任务
let ocrTask = null;
if (pickupMode === "js拾取，默认只拾取狗粮和晶蝶") {
ocrTask = performOcrAndInteract(imagePath, whitelistKeywords, textxRange, texttolerance);
if (pickupMode === "ocr拾取，默认只拾取狗粮和晶蝶" || pickupMode === "模板匹配拾取，默认只拾取狗粮") {
ocrTask = recoginzeAndInteract(imagePath, whitelistKeywords, textxRange, texttolerance);
}
// 启动泥头车