275 lines
8.2 KiB
TypeScript
275 lines
8.2 KiB
TypeScript
/**
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* 健康监控服务 - 防止用户机器卡死
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* 自动检测GPU、进程、超时,并自动恢复
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*/
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import { execSync } from 'child_process';
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import { app } from 'electron';
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import path from 'path';
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interface HealthStatus {
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gpuMemoryUsage: number; // GPU显存使用率 0-100
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chromiumProcessCount: number; // Chromium进程数
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pythonProcessCount: number; // Python进程数
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isHealthy: boolean;
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warnings: string[];
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}
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class HealthMonitor {
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private checkInterval: NodeJS.Timeout | null = null;
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private isMonitoring = false;
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/**
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* 启动健康监控(每30秒检查一次)
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*/
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startMonitoring(intervalSeconds: number = 30) {
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if (this.isMonitoring) {
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console.log('[健康监控] 已在运行');
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return;
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}
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console.log(`[健康监控] 启动监控,间隔${intervalSeconds}秒`);
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this.isMonitoring = true;
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this.checkInterval = setInterval(() => {
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this.performHealthCheck();
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}, intervalSeconds * 1000);
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// 立即执行一次检查
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this.performHealthCheck();
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}
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/**
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* 停止监控
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*/
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stopMonitoring() {
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if (this.checkInterval) {
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clearInterval(this.checkInterval);
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this.checkInterval = null;
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this.isMonitoring = false;
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console.log('[健康监控] 已停止');
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}
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}
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/**
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* 执行健康检查
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*/
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private async performHealthCheck() {
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try {
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const status = await this.getHealthStatus();
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console.log('[健康监控] 状态:', {
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GPU显存: `${status.gpuMemoryUsage}%`,
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Chromium进程: status.chromiumProcessCount,
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Python进程: status.pythonProcessCount,
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健康: status.isHealthy
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});
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// 如果不健康,执行自动修复
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if (!status.isHealthy) {
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console.warn('[健康监控] 检测到异常,开始自动修复...');
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await this.autoRepair(status);
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}
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} catch (error) {
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console.error('[健康监控] 检查失败:', error);
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}
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}
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/**
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* 获取系统健康状态
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*/
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async getHealthStatus(): Promise<HealthStatus> {
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const status: HealthStatus = {
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gpuMemoryUsage: 0,
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chromiumProcessCount: 0,
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pythonProcessCount: 0,
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isHealthy: true,
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warnings: []
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};
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try {
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// 检查GPU显存
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try {
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const gpuResult = execSync(
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'nvidia-smi --query-gpu=memory.used,memory.total --format=csv,noheader,nounits',
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{ encoding: 'utf-8', timeout: 5000 }
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);
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const lines = gpuResult.trim().split('\n');
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if (lines.length > 0) {
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const [used, total] = lines[0].split(',').map(s => parseFloat(s.trim()));
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status.gpuMemoryUsage = Math.round((used / total) * 100);
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// GPU显存 > 85% 警告
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if (status.gpuMemoryUsage > 85) {
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status.isHealthy = false;
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status.warnings.push(`GPU显存占用过高: ${status.gpuMemoryUsage}%`);
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}
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}
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} catch (e) {
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// nvidia-smi不可用,跳过GPU检查
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}
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// 检查Chromium进程数量
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try {
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const cmd = process.platform === 'win32'
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? 'tasklist | findstr /I "chromium.exe chrome.exe"'
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: 'pgrep -c "chromium|chrome" || true';
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const chromiumResult = execSync(cmd, { encoding: 'utf-8', timeout: 3000 });
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if (process.platform === 'win32') {
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status.chromiumProcessCount = chromiumResult.split('\n').filter(line => line.trim()).length;
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} else {
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status.chromiumProcessCount = parseInt(chromiumResult.trim()) || 0;
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}
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// Chromium进程 > 10 个警告
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if (status.chromiumProcessCount > 10) {
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status.isHealthy = false;
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status.warnings.push(`Chromium进程过多: ${status.chromiumProcessCount}个`);
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}
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} catch (e) {
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// 没有Chromium进程
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status.chromiumProcessCount = 0;
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}
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// 检查Python进程数量
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try {
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const pythonCmd = process.platform === 'win32'
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? 'tasklist | findstr /I "python.exe"'
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: 'pgrep -c "python" || true';
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const pythonResult = execSync(pythonCmd, { encoding: 'utf-8', timeout: 3000 });
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if (process.platform === 'win32') {
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status.pythonProcessCount = pythonResult.split('\n').filter(line => line.trim()).length;
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} else {
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status.pythonProcessCount = parseInt(pythonResult.trim()) || 0;
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}
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// Python进程 > 5 个警告(正常应该1-2个)
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if (status.pythonProcessCount > 5) {
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status.isHealthy = false;
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status.warnings.push(`Python进程过多: ${status.pythonProcessCount}个`);
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}
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} catch (e) {
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status.pythonProcessCount = 0;
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}
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} catch (error) {
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console.error('[健康监控] 状态获取失败:', error);
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}
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return status;
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}
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/**
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* 自动修复
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*/
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private async autoRepair(status: HealthStatus) {
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const repairs: string[] = [];
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console.log('[HealthMonitor] autoRepair disabled');
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return;
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try {
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// 修复1: GPU显存过高 → 清理GPU缓存
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if (status.gpuMemoryUsage > 85) {
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console.log('[自动修复] GPU显存占用过高,执行清理...');
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try {
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const scriptPath = path.join(app.getAppPath(), '..', 'scripts', 'cleanup_gpu.py');
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const pythonCmd = process.platform === 'win32' ? 'python' : 'python3';
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execSync(`${pythonCmd} "${scriptPath}"`, { timeout: 10000 });
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repairs.push('GPU显存已清理');
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} catch (e) {
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console.error('[自动修复] GPU清理失败:', e);
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}
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}
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// 修复2: Chromium进程过多 → 强制关闭
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if (status.chromiumProcessCount > 10) {
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console.log('[自动修复] Chromium进程过多,强制关闭...');
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try {
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const killCmd = process.platform === 'win32'
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? 'taskkill /F /IM chromium.exe /IM chrome.exe 2>nul'
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: 'pkill -f "chromium|chrome" 2>/dev/null || true';
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execSync(killCmd, { timeout: 5000 });
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repairs.push(`已关闭${status.chromiumProcessCount}个Chromium进程`);
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} catch (e) {
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// 忽略错误(可能没有进程可杀)
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}
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}
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// 修复3: Python进程过多 → 警告(不自动杀,可能影响正在运行的任务)
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if (status.pythonProcessCount > 5) {
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console.warn('[自动修复] Python进程过多,建议用户重启应用');
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repairs.push('检测到多个Python进程,建议重启应用');
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}
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if (repairs.length > 0) {
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console.log('[自动修复] 修复完成:', repairs.join('; '));
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}
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} catch (error) {
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console.error('[自动修复] 修复失败:', error);
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}
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}
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/**
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* 手动清理所有资源(用户点击"清理"按钮时调用)
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*/
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async manualCleanup(): Promise<{ success: boolean; message: string }> {
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console.log('[手动清理] 开始清理所有资源...');
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const results: string[] = [];
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console.log('[HealthMonitor] manualCleanup disabled');
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return {
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success: true,
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message: 'disabled'
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};
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try {
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// 1. 清理GPU
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try {
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const scriptPath = path.join(app.getAppPath(), '..', 'scripts', 'cleanup_gpu.py');
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execSync(`python "${scriptPath}" --force`, { timeout: 15000 });
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results.push('✓ GPU清理完成');
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} catch (e) {
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results.push('✗ GPU清理失败');
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}
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// 2. 关闭Chromium
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try {
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const killCmd = process.platform === 'win32'
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? 'taskkill /F /IM chromium.exe /IM chrome.exe 2>nul'
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: 'pkill -f "chromium|chrome" 2>/dev/null || true';
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execSync(killCmd, { timeout: 5000 });
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results.push('✓ 浏览器进程已关闭');
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} catch (e) {
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results.push('✓ 无需关闭浏览器进程');
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}
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// 3. 清理临时文件(可选)
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// ...
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return {
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success: true,
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message: results.join('\n')
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};
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} catch (error) {
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return {
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success: false,
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message: '清理失败: ' + (error instanceof Error ? error.message : String(error))
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};
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}
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}
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}
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// 单例模式
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let instance: HealthMonitor | null = null;
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export function getHealthMonitor(): HealthMonitor {
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if (!instance) {
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instance = new HealthMonitor();
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}
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return instance;
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}
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export { HealthMonitor, HealthStatus };
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