Node.JS的OS提供了一系统CPU/内存/网络相关的接口，通过它我们可以查看本地的网络配置。使用起来非常简单
本地MAC和IP地址
var os = require('os')
console.log(os.networkInterfaces())输出结果：
{
lo: [
{
address: '127.0.0.1',
netmask: '255.0.0.0',
family: 'IPv4',
mac: '00:00:00:00:00:00',
internal: true,
cidr: '127.0.0.1/8'
},
{
address: '::1',
netmask: 'ffff:ffff:ffff:ffff:ffff:ffff:ffff:ffff',
family: 'IPv6',
mac: '00:00:00:00:00:00',
internal: true,
cidr: '::1/128'
}
],
eth0: [
{
address: '192.168.1.108',
netmask: '255.255.255.0',
family: 'IPv4',
mac: '01:02:03:0a:0b:0c',
internal: false,
cidr: '192.168.1.108/24'
}
]
}内存的容量和已用内存
var freemem = os.freemem()
var totalmem = os.totalmem()
var usedmem = totalmem - freemem
CPU情况和使用率
cpus返回CPU情况，返回的是一个数组，有多少个核心就有多少个元素。
var cpus = os.cpus()
console.log(cpus)
结果：
[
{
model: 'Intel(R) Core(TM) i7 CPU 860 @ 2.80GHz',
speed: 2926,
times: {
user: 252020,
nice: 0,
sys: 30340,
idle: 1070356870,
irq: 0
}
}
...
]
使用率略为复杂，有一个loadavg方法，计算过去十几分钟的平均使用率，但目前并不支持Windows
os.loadavg()
其实我们可以用之前的cpus()方法来计算出，即通过idle和总时间的比值得出时时使用率
cpuIAverage = function(i) {
var cpu, cpus, idle, len, total, totalIdle, totalTick, type;
totalIdle = 0;
totalTick = 0;
cpus = os.cpus();
cpu = cpus[i];
for (type in cpu.times) {
totalTick += cpu.times[type];
}
totalIdle += cpu.times.idle;
idle = totalIdle / cpus.length;
total = totalTick / cpus.length;
return {
idle: idle,
total: total
};
};更多计算使用率的函数： https://gist.github.com/bag-man/5570809
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