Go使用gopsutil 和 go

Go使用gopsutil 和 go-echarts 生成系统状态图表

1.结构

1.使用gopsutil获取数据

2.使用go-echarts生成图表

2.细节

time.Now().Format("15:04:05")strconv.FormatFloat(totalPercent[0], 'f', 2, 64)

3.代码

package main

import (
	"fmt"
	"github.com/go-echarts/go-echarts/v2/charts"
	"github.com/go-echarts/go-echarts/v2/opts"
	"github.com/shirou/gopsutil/v3/cpu"
	"os"
	"strconv"
	"time"
	// "github.com/shirou/gopsutil/mem"  // to use v2
)

// cpu info
func getCpuInfo() {
	cpuInfos, err := cpu.Info()
	if err != nil {
		fmt.Printf("get cpu info failed, err:%v", err)
	}
	for _, ci := range cpuInfos {
		fmt.Println(ci)
	}
	// CPU使用率
	for {
		percent, _ := cpu.Percent(time.Second, false)
		fmt.Printf("cpu percent:%v\n", percent)
	}
}

// generate random data for line chart
func generateVMItems(cnt int) ([]string, []opts.LineData) {
	keys := make([]string, 0)
	vals := make([]opts.LineData, 0)
	for i := 0; i < cnt; i++ {
		keys = append(keys, time.Now().Format("15:04:05"))
		totalPercent, _ := cpu.Percent(5*time.Second, false) //从当前时刻开始5s的cpu使用率
		tmp := strconv.FormatFloat(totalPercent[0], 'f', 2, 64)
		vals = append(vals, opts.LineData{Value: tmp})
	}
	return keys, vals
}
func drawLineChart() {
	// create a new line instance
	line := charts.NewLine()
	line.SetGlobalOptions(
		charts.WithTitleOpts(opts.Title{	//标题
			Title:    "内存占用率",
			Subtitle: "Line chart rendered by the http server this time",
		}),
		charts.WithTooltipOpts(opts.Tooltip{Show: true}), 	
		charts.WithToolboxOpts(opts.Toolbox{	//工具盒配置
			Show:  true,
			Right: "20%",
			Feature: &opts.ToolBoxFeature{
				SaveAsImage: &opts.ToolBoxFeatureSaveAsImage{
					Show:  true,
					Type:  "png",
					Title: "Anything you want",
				},
				DataView: &opts.ToolBoxFeatureDataView{
					Show:  true,
					Title: "DataView",
					// set the language
					// English version: {"data view", "turn off", "refresh"},
					Lang: []string{"数据视图", "关闭", "刷新"},
				},
			}},
		))
	k, v := generateVMItems(5)
	// Put data into instance
	line.SetXAxis(k).AddSeries("Server 1", v).SetSeriesOptions(
		charts.WithLabelOpts(opts.Label{	//显示数据
			Show:     true,
			Position: "top",
		}),
	)
	f, _ := os.Create("line.html")
	err := line.Render(f)
	if err != nil {
		return
	}
}
func main() {
	//getCpuInfo()
	drawLineChart()
}

4.结果

5.总结

本文通过后端获取数据并生成图表，实际上生成图表的工作应该交给前端渲染数据生成。所以本文的下一个方向就是Vue+Go生成图表。