87 lines
3.1 KiB
JavaScript
87 lines
3.1 KiB
JavaScript
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const express = require('express');
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const router = express.Router();
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const si = require('systeminformation');
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const os = require('os');
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const fs = require('fs').promises;
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// 获取系统信息的API
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router.get('/system-info', async (req, res) => {
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try {
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// 获取基本系统信息
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const [osInfo, cpuInfo, memInfo, diskInfo, networkStats] = await Promise.all([
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si.osInfo(),
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si.cpu(),
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si.mem(),
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si.fsSize(),
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si.networkStats()
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]);
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// 获取各个CPU核心的使用率
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const cpuCoreUsage = await si.currentLoad();
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// 检测隔离的CPU核心
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let isolatedCores = [];
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try {
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// 在Linux系统上，通过读取/sys/devices/system/cpu/isolated文件获取隔离的CPU核心
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if (os.platform() === 'linux') {
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const isolatedContent = await fs.readFile('/sys/devices/system/cpu/isolated', 'utf8');
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if (isolatedContent && isolatedContent.trim() !== '') {
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// 处理如"0-2,4,6-8"这样的格式
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const ranges = isolatedContent.trim().split(',');
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for (const range of ranges) {
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if (range.includes('-')) {
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const [start, end] = range.split('-').map(Number);
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for (let i = start; i <= end; i++) {
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isolatedCores.push(i);
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}
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} else {
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isolatedCores.push(Number(range));
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}
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}
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}
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}
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} catch (error) {
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console.warn('无法读取隔离CPU信息:', error);
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}
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// 计算内存使用率(使用第一种方式，与资源管理器一致)
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const memoryUsedPercent = Math.round((memInfo.total - memInfo.available) / memInfo.total * 100);
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// 计算网络带宽 (Mbps)
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const downloadBandwidth = (networkStats[0].rx_sec / 1024 / 1024) * 8; // 下载带宽 Mbps
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const uploadBandwidth = (networkStats[0].tx_sec / 1024 / 1024) * 8; // 上传带宽 Mbps
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// 构造响应数据
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const systemInfo = {
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os: `${osInfo.distro} ${osInfo.release} ${osInfo.arch}`,
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kernel: `${osInfo.kernel}`, // 添加内核版本
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cpuCores: cpuInfo.cores,
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ipAddress: Object.values(os.networkInterfaces())
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.flat()
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.filter(item => !item.internal && item.family === 'IPv4')
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.map(item => item.address)[0] || 'Unknown',
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isolatedCores: isolatedCores,
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// 指标数据
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metrics: {
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'内存使用率': memoryUsedPercent,
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'磁盘使用率': Math.round(diskInfo[0].used / diskInfo[0].size * 100),
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'网络带宽': 0, // 占位符，前端不会使用这个值
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'下载带宽': Math.round(downloadBandwidth * 10) / 10, // 保留一位小数的Mbps值
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'上传带宽': Math.round(uploadBandwidth * 10) / 10 // 保留一位小数的Mbps值
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}
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};
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// 添加每个CPU核心的使用率
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for (let i = 0; i < cpuInfo.cores; i++) {
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systemInfo.metrics[`CPU${i}使用率`] = Math.round(cpuCoreUsage.cpus[i].load);
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}
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res.json(systemInfo);
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} catch (error) {
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console.error('获取系统信息失败:', error);
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res.status(500).json({ error: '获取系统信息失败', message: error.message });
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}
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});
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module.exports = router;
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