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com.neko233.toolchain.metrics.cpu.CpuInfo Maven / Gradle / Ivy

package com.neko233.toolchain.metrics.cpu;


import com.neko233.toolchain.common.base.MathUtils233;

import java.text.DecimalFormat;

/**
 * 

CPU相关信息

* * @author Dai Yuanchuan **/ public class CpuInfo { private static final DecimalFormat LOAD_FORMAT = new DecimalFormat("#.00"); /** * CPU核心数 */ private Integer cpuNum; /** * CPU总的使用率 */ private double toTal; /** * CPU系统使用率 */ private double sys; /** * CPU用户使用率 */ private double user; /** * CPU当前等待率 */ private double wait; /** * CPU当前空闲率 */ private double free; /** * CPU型号信息 */ private String cpuModel; /** * CPU型号信息 */ private CpuTicks ticks; /** * 空构造 */ public CpuInfo() { } /** * 构造,等待时间为用于计算在一定时长内的CPU负载情况,如传入1000表示最近1秒的负载情况 * * @param processor {@link CentralProcessor} * @param waitingTime 设置等待时间,单位毫秒 */ public CpuInfo(CentralProcessor processor, long waitingTime) { init(processor, waitingTime); } /** * 构造 * * @param cpuNum CPU核心数 * @param toTal CPU总的使用率 * @param sys CPU系统使用率 * @param user CPU用户使用率 * @param wait CPU当前等待率 * @param free CPU当前空闲率 * @param cpuModel CPU型号信息 */ public CpuInfo(Integer cpuNum, double toTal, double sys, double user, double wait, double free, String cpuModel) { this.cpuNum = cpuNum; this.toTal = toTal; this.sys = sys; this.user = user; this.wait = wait; this.free = free; this.cpuModel = cpuModel; } /** * 获取每个CPU核心的tick,计算方式为 100 * tick / totalCpu * * @param tick tick * @param totalCpu CPU总数 * @return 平均每个CPU核心的tick * @since 5.7.12 */ private static double formatDouble(long tick, long totalCpu) { if (0 == totalCpu) { return 0D; } return Double.parseDouble(LOAD_FORMAT.format(tick <= 0 ? 0 : (100d * tick / totalCpu))); } public Integer getCpuNum() { return cpuNum; } public void setCpuNum(Integer cpuNum) { this.cpuNum = cpuNum; } public double getToTal() { return toTal; } public void setToTal(double toTal) { this.toTal = toTal; } public double getSys() { return sys; } public void setSys(double sys) { this.sys = sys; } public double getUser() { return user; } public void setUser(double user) { this.user = user; } public double getWait() { return wait; } public void setWait(double wait) { this.wait = wait; } public double getFree() { return free; } public void setFree(double free) { this.free = free; } public String getCpuModel() { return cpuModel; } public void setCpuModel(String cpuModel) { this.cpuModel = cpuModel; } public CpuTicks getTicks() { return ticks; } public void setTicks(CpuTicks ticks) { this.ticks = ticks; } /** * 获取用户+系统的总的CPU使用率 * * @return 总CPU使用率 */ public double getUsed() { return MathUtils233.subtract(100, this.free).doubleValue(); } @Override public String toString() { return "CpuInfo{" + "CPU核心数=" + cpuNum + ", CPU总的使用率=" + toTal + ", CPU系统使用率=" + sys + ", CPU用户使用率=" + user + ", CPU当前等待率=" + wait + ", CPU当前空闲率=" + free + ", CPU利用率=" + getUsed() + ", CPU型号信息='" + cpuModel + '\'' + '}'; } /** * 获取指定等待时间内系统CPU 系统使用率、用户使用率、利用率等等 相关信息 * * @param processor {@link CentralProcessor} * @param waitingTime 设置等待时间,单位毫秒 * @since 5.7.12 */ private void init(CentralProcessor processor, long waitingTime) { final CpuTicks ticks = new CpuTicks(processor, waitingTime); this.ticks = ticks; this.cpuNum = processor.getLogicalProcessorCount(); this.cpuModel = processor.toString(); final long totalCpu = ticks.totalCpu(); this.toTal = totalCpu; this.sys = formatDouble(ticks.cSys, totalCpu); this.user = formatDouble(ticks.user, totalCpu); this.wait = formatDouble(ticks.ioWait, totalCpu); this.free = formatDouble(ticks.idle, totalCpu); } }




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