@@ -8,6 +8,7 @@ if (settings.activeDumperMode) { //处理泥头车信息
|
||||
dumpers = [];
|
||||
}
|
||||
const trigger = settings.trigger || 50;
|
||||
let state;
|
||||
|
||||
(async function () {
|
||||
//自定义配置处理
|
||||
@@ -473,58 +474,37 @@ async function runPath(pathFilePath, map_name, whitelistKeywords, blacklistKeywo
|
||||
let lastMoveDown = 0;
|
||||
let lastPickupTime = new Date();
|
||||
let lastPickupItem = "";
|
||||
// 定义状态变量
|
||||
let state = { completed: false, cancelRequested: false, atMainUi: false, lastCheckMainUi: new Date() };
|
||||
// 初始化状态变量
|
||||
state = { completed: false, cancelRequested: false, atMainUi: false, lastCheckMainUi: new Date() };
|
||||
// 定义图像路径和目标文本列表
|
||||
const imagePath = `assets/F_Dialogue.png`;
|
||||
const textxRange = { min: 1210, max: 1412 };
|
||||
const texttolerance = 30; // Y 坐标容错范围
|
||||
|
||||
//检查是否在主界面
|
||||
async function isMainUI() {
|
||||
// 修改后的图像路径
|
||||
const imagePath = "assets/MainUI.png";
|
||||
// 启动路径文件执行任务
|
||||
const pathTask = executePathFile(pathFilePath);
|
||||
|
||||
// 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
|
||||
// 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);
|
||||
}
|
||||
|
||||
// 尝试次数设置为 2 次
|
||||
const maxAttempts = 2;
|
||||
// 根据条件决定是否启动泥头车任务
|
||||
let dumperTask = null;
|
||||
if (dumpers.length > 0) { // 检查 dumpers 是否不为空
|
||||
dumperTask = dumper(pathFilePath, map_name); // 调用 dumper 函数
|
||||
}
|
||||
|
||||
let attempts = 0;
|
||||
let lastOcrTime = new Date();
|
||||
while (attempts < maxAttempts && !state.cancelRequested) {
|
||||
const ocrTime = new Date();
|
||||
if (ocrTime - lastOcrTime < trigger) {
|
||||
//限制识别频率
|
||||
await sleep(trigger - (ocrTime - lastOcrTime));
|
||||
}
|
||||
lastOcrTime = ocrTime;
|
||||
try {
|
||||
let template = file.ReadImageMatSync(imagePath);
|
||||
let recognitionObject = RecognitionObject.TemplateMatch(template, xMin, yMin, width, height);
|
||||
resultMainUi = captureGameRegion().find(recognitionObject);
|
||||
//captureGameRegion().dispose;
|
||||
if (resultMainUi.isExist()) {
|
||||
return true; // 如果找到图标,返回 true
|
||||
}
|
||||
} catch (error) {
|
||||
log.error(`识别图像时发生异常: ${error.message}`);
|
||||
if (state.cancelRequested) {
|
||||
break; // 如果请求了取消,则退出循环
|
||||
}
|
||||
return false; // 发生异常时返回 false
|
||||
}
|
||||
attempts++; // 增加尝试次数
|
||||
await sleep(2); // 每次检测间隔 2 毫秒
|
||||
}
|
||||
if (state.cancelRequested) {
|
||||
log.info("图像识别任务已取消");
|
||||
}
|
||||
return false; // 如果尝试次数达到上限或取消,返回 false
|
||||
// 等待所有任务完成
|
||||
try {
|
||||
await Promise.allSettled([pathTask, ocrTask, dumperTask]);
|
||||
} catch (error) {
|
||||
console.error(`执行任务时发生错误:${error.message}`);
|
||||
state.cancelRequested = true; // 设置取消标志
|
||||
} finally {
|
||||
state.completed = true; // 确保任务标记为完成
|
||||
state.cancelRequested = true; // 设置取消标志
|
||||
}
|
||||
|
||||
// 定义一个函数用于执行路径文件
|
||||
@@ -541,107 +521,23 @@ 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 performOcr(whitelistKeywords, xRange, yRange, timeout = 200) {
|
||||
let lastOcrTime = new Date();
|
||||
let startTime = Date.now();
|
||||
while (Date.now() - startTime < timeout && !state.cancelRequested) {
|
||||
const ocrTime = new Date();
|
||||
//log.info(`当前触发间隔为${ocrTime - lastOcrTime}`);
|
||||
if (ocrTime - lastOcrTime < trigger) {
|
||||
//限制识别频率
|
||||
await sleep(trigger - (ocrTime - lastOcrTime));
|
||||
}
|
||||
lastOcrTime = ocrTime;
|
||||
try {
|
||||
// 在捕获的区域内进行OCR识别
|
||||
ra = captureGameRegion();
|
||||
//captureGameRegion().dispose;
|
||||
let resList = ra.findMulti(RecognitionObject.ocr(
|
||||
xRange.min, yRange.min,
|
||||
xRange.max - xRange.min, yRange.max - yRange.min
|
||||
));
|
||||
|
||||
// 遍历识别结果,检查是否找到目标文本
|
||||
let results = [];
|
||||
for (let i = 0; i < resList.count; i++) {
|
||||
let res = resList[i];
|
||||
let correctedText = res.text;
|
||||
|
||||
// 如果 whitelistKeywords 为空,则直接将所有文本视为匹配
|
||||
if (whitelistKeywords.length === 0) {
|
||||
results.push({ text: correctedText, x: res.x, y: res.y, width: res.width, height: res.height });
|
||||
} else {
|
||||
// 否则,检查是否包含目标文本
|
||||
for (let targetText of whitelistKeywords) {
|
||||
if (correctedText.includes(targetText)) {
|
||||
results.push({ text: correctedText, x: res.x, y: res.y, width: res.width, height: res.height });
|
||||
break; // 匹配到一个目标文本后即可跳出循环
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
return results;
|
||||
} catch (error) {
|
||||
log.error(`识别文字时发生异常: ${error.message}`);
|
||||
return [];
|
||||
}
|
||||
}
|
||||
log.warn("OCR识别超时");
|
||||
return [];
|
||||
}
|
||||
await sleep(5000);//启动地图追踪前五秒不执行ocr
|
||||
let lastOcrTime = new Date();
|
||||
let lastOcrTime = Date.now() - trigger;
|
||||
while (!state.completed && !state.cancelRequested) {
|
||||
const ocrTime = new Date();
|
||||
const ocrTime = Date.now();
|
||||
if (ocrTime - lastOcrTime < trigger) {
|
||||
//限制识别频率
|
||||
await sleep(trigger - (ocrTime - lastOcrTime));
|
||||
}
|
||||
// 尝试找到 F 图标并返回其坐标
|
||||
async function findFIcon(imagePath, xMin, yMin, width, height, timeout = 500) {
|
||||
let lastOcrTime = new Date();
|
||||
let startTime = Date.now();
|
||||
while (Date.now() - startTime < timeout && !state.cancelRequested) {
|
||||
const ocrTime = new Date();
|
||||
//log.info(`当前触发间隔为${ocrTime - lastOcrTime}`);
|
||||
if (ocrTime - lastOcrTime < trigger) {
|
||||
//限制识别频率
|
||||
await sleep(trigger - (ocrTime - lastOcrTime));
|
||||
}
|
||||
lastOcrTime = ocrTime;
|
||||
try {
|
||||
let template = file.ReadImageMatSync(imagePath);
|
||||
let recognitionObject = RecognitionObject.TemplateMatch(template, xMin, yMin, width, height);
|
||||
resultFIcon = captureGameRegion().find(recognitionObject);
|
||||
//captureGameRegion().dispose;
|
||||
if (resultFIcon.isExist()) {
|
||||
return { success: true, x: resultFIcon.x, y: resultFIcon.y, width: resultFIcon.width, height: resultFIcon.height };
|
||||
}
|
||||
} catch (error) {
|
||||
log.error(`识别图像时发生异常: ${error.message}`);
|
||||
if (state.cancelRequested) {
|
||||
break; // 如果请求了取消,则退出循环
|
||||
}
|
||||
return null;
|
||||
}
|
||||
}
|
||||
if (state.cancelRequested) {
|
||||
log.info("图像识别任务已取消");
|
||||
}
|
||||
return null;
|
||||
}
|
||||
|
||||
lastOcrTime = ocrTime;
|
||||
// 尝试找到 F 图标
|
||||
let fRes = await findFIcon(imagePath, 1102, 335, 34, 400, 500);
|
||||
if (!fRes) {
|
||||
state.atMainUi = await isMainUI();
|
||||
state.lastCheckMainUi = new Date();
|
||||
if (state.atMainUi) {
|
||||
//log.info("在主界面,尝试下滑");
|
||||
await keyMouseScript.runFile(`assets/滚轮下翻.json`);
|
||||
}
|
||||
await sleep(trigger);
|
||||
lastMoveDown = new Date();
|
||||
continue;
|
||||
}
|
||||
|
||||
@@ -683,7 +579,6 @@ async function runPath(pathFilePath, map_name, whitelistKeywords, blacklistKeywo
|
||||
// 如果距离上次下翻超过timeMoveUp秒,则执行下翻
|
||||
if (currentTime - lastMoveDown > timeMoveUp) {
|
||||
await keyMouseScript.runFile(`assets/滚轮下翻.json`);
|
||||
|
||||
// 如果这是第一次下翻,记录这次下翻的时间
|
||||
if (thisMoveUpTime === 0) {
|
||||
thisMoveUpTime = currentTime; // 记录第一次上翻的时间
|
||||
@@ -706,7 +601,7 @@ async function runPath(pathFilePath, map_name, whitelistKeywords, blacklistKeywo
|
||||
}
|
||||
}
|
||||
|
||||
//处理泥头车模式
|
||||
//泥头车模式
|
||||
async function dumper(pathFilePath, map_name) {
|
||||
let lastDumperTimer = 0;
|
||||
const dumperCD = 10000;
|
||||
@@ -804,30 +699,135 @@ async function runPath(pathFilePath, map_name, whitelistKeywords, blacklistKeywo
|
||||
}
|
||||
}
|
||||
|
||||
// 启动路径文件执行任务
|
||||
const pathTask = executePathFile(pathFilePath);
|
||||
|
||||
// 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);
|
||||
// 尝试找到 F 图标并返回其坐标
|
||||
async function findFIcon(imagePath, xMin, yMin, width, height, timeout = 500) {
|
||||
//log.info('判断是否存在f图标');
|
||||
let lastOcrTime = Date.now() - trigger;
|
||||
let startTime = Date.now();
|
||||
while (Date.now() - startTime < timeout && !state.cancelRequested) {
|
||||
const ocrTime = Date.now();
|
||||
if (ocrTime - lastOcrTime < trigger) {
|
||||
//限制识别频率
|
||||
await sleep(trigger - (ocrTime - lastOcrTime));
|
||||
}
|
||||
lastOcrTime = ocrTime;
|
||||
try {
|
||||
let template = file.ReadImageMatSync(imagePath);
|
||||
let recognitionObject = RecognitionObject.TemplateMatch(template, xMin, yMin, width, height);
|
||||
let resultFIcon = captureGameRegion().find(recognitionObject);
|
||||
//captureGameRegion().dispose;
|
||||
if (resultFIcon.isExist()) {
|
||||
return { success: true, x: resultFIcon.x, y: resultFIcon.y, width: resultFIcon.width, height: resultFIcon.height };
|
||||
}
|
||||
} catch (error) {
|
||||
log.error(`识别图像时发生异常: ${error.message}`);
|
||||
if (state.cancelRequested) {
|
||||
break; // 如果请求了取消,则退出循环
|
||||
}
|
||||
return null;
|
||||
}
|
||||
}
|
||||
if (state.cancelRequested) {
|
||||
log.info("图像识别任务已取消");
|
||||
}
|
||||
return null;
|
||||
}
|
||||
|
||||
// 启动泥头车
|
||||
let dumperTask = null;
|
||||
if (dumpers.length > 0) { // 检查 dumpers 是否不为空
|
||||
dumperTask = dumper(pathFilePath, map_name); // 调用 dumper 函数
|
||||
async function performOcr(whitelistKeywords, xRange, yRange, timeout = 200) {
|
||||
//log.info('判断目标文本');
|
||||
let lastOcrTime = Date.now() - trigger;
|
||||
let startTime = Date.now();
|
||||
while (Date.now() - startTime < timeout && !state.cancelRequested) {
|
||||
const ocrTime = Date.now();
|
||||
if (ocrTime - lastOcrTime < trigger) {
|
||||
//限制识别频率
|
||||
await sleep(trigger - (ocrTime - lastOcrTime));
|
||||
}
|
||||
lastOcrTime = ocrTime;
|
||||
try {
|
||||
// 在捕获的区域内进行OCR识别
|
||||
let ra = captureGameRegion();
|
||||
//captureGameRegion().dispose;
|
||||
let resList = ra.findMulti(RecognitionObject.ocr(
|
||||
xRange.min, yRange.min,
|
||||
xRange.max - xRange.min, yRange.max - yRange.min
|
||||
));
|
||||
|
||||
// 遍历识别结果,检查是否找到目标文本
|
||||
let results = [];
|
||||
for (let i = 0; i < resList.count; i++) {
|
||||
let res = resList[i];
|
||||
let correctedText = res.text;
|
||||
|
||||
// 如果 whitelistKeywords 为空,则直接将所有文本视为匹配
|
||||
if (whitelistKeywords.length === 0) {
|
||||
results.push({ text: correctedText, x: res.x, y: res.y, width: res.width, height: res.height });
|
||||
} else {
|
||||
// 否则,检查是否包含目标文本
|
||||
for (let targetText of whitelistKeywords) {
|
||||
if (correctedText.includes(targetText)) {
|
||||
results.push({ text: correctedText, x: res.x, y: res.y, width: res.width, height: res.height });
|
||||
break; // 匹配到一个目标文本后即可跳出循环
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
return results;
|
||||
} catch (error) {
|
||||
log.error(`识别文字时发生异常: ${error.message}`);
|
||||
return [];
|
||||
}
|
||||
}
|
||||
log.warn("OCR识别超时");
|
||||
return [];
|
||||
}
|
||||
|
||||
// 等待所有任务完成
|
||||
try {
|
||||
await Promise.allSettled([pathTask, ocrTask, dumperTask]);
|
||||
} catch (error) {
|
||||
console.error(`执行任务时发生错误:${error.message}`);
|
||||
state.cancelRequested = true; // 设置取消标志
|
||||
} finally {
|
||||
state.completed = true; // 确保任务标记为完成
|
||||
state.cancelRequested = true; // 设置取消标志
|
||||
//检查是否在主界面
|
||||
async function isMainUI() {
|
||||
//log.info('判断是否处于主界面');
|
||||
// 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
|
||||
|
||||
// 尝试次数设置为 2 次
|
||||
const maxAttempts = 2;
|
||||
|
||||
let attempts = 0;
|
||||
let lastOcrTime = Date.now() - trigger;
|
||||
while (attempts < maxAttempts && !state.cancelRequested) {
|
||||
const ocrTime = Date.now();
|
||||
if (ocrTime - lastOcrTime < trigger) {
|
||||
//限制识别频率
|
||||
await sleep(trigger - (ocrTime - lastOcrTime));
|
||||
}
|
||||
lastOcrTime = ocrTime;
|
||||
try {
|
||||
let template = file.ReadImageMatSync(imagePath);
|
||||
let recognitionObject = RecognitionObject.TemplateMatch(template, xMin, yMin, width, height);
|
||||
let resultMainUi = captureGameRegion().find(recognitionObject);
|
||||
//captureGameRegion().dispose;
|
||||
if (resultMainUi.isExist()) {
|
||||
return true; // 如果找到图标,返回 true
|
||||
}
|
||||
} catch (error) {
|
||||
log.error(`识别图像时发生异常: ${error.message}`);
|
||||
if (state.cancelRequested) {
|
||||
break; // 如果请求了取消,则退出循环
|
||||
}
|
||||
return false; // 发生异常时返回 false
|
||||
}
|
||||
attempts++; // 增加尝试次数
|
||||
await sleep(2); // 每次检测间隔 2 毫秒
|
||||
}
|
||||
if (state.cancelRequested) {
|
||||
log.info("图像识别任务已取消");
|
||||
}
|
||||
return false; // 如果尝试次数达到上限或取消,返回 false
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1325,6 +1325,3 @@ async function isTimeRestricted(timeRule, threshold = 5) {
|
||||
log.info("不处于限制时间");
|
||||
return false; // 当前时间不在限制时间内
|
||||
}
|
||||
|
||||
|
||||
|
||||
|
||||
Reference in New Issue
Block a user