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package collector
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//这个就相对简单。我们只需使用之前定义的函数方法。满足name以及Scrape 接口即可 然后通过chan <- prometheus.Metric只写管道来写入我们需要的指标，
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//这里需要注意的是我们之前提到的4中prometheus指标类型有一些在这里需要float64的值传入
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//但是我们收集到的并不一定都是float64类型的那么我们在做类型转换的过程中需要考虑大转小溢出的问题
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import (
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"fmt"
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"github.com/prometheus/client_golang/prometheus"
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"github.com/shirou/gopsutil/host"
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"github.com/shirou/gopsutil/load"
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"log"
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"net"
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)
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type CpuLoad struct{}
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// cpu info
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func (CpuLoad) Name() string {
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return namespace + "_cpu_load"
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}
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func (CpuLoad) Scrape(ch chan<- prometheus.Metric) error {
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//hostinfo := GetHost()
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hostinfo, err := host.Info()
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cpuload, err := load.Avg()
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if err != nil {
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log.Printf("cpu load is not ,%v\n", err)
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return err
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}
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ch <- prometheus.MustNewConstMetric(
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//这里的label是固定标签 我们可以通过
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NewDesc("cpu_load", "one", "cpu load", []string{"type"}, prometheus.Labels{"host": hostinfo.Hostname, "ip": GetIP()}),
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prometheus.GaugeValue,
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cpuload.Load1,
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//动态标签的值 可以有多个动态标签
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"metrics",
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)
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ch <- prometheus.MustNewConstMetric(
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NewDesc("cpu_load", "five", "cpu load", nil, nil),
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prometheus.GaugeValue,
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cpuload.Load5,
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)
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ch <- prometheus.MustNewConstMetric(
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NewDesc("cpu_load", "fifteen", "cpu load", nil, nil),
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prometheus.GaugeValue,
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cpuload.Load15,
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)
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return nil
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}
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// 获取网络信息
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func GetIP() string {
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addrs, err := net.InterfaceAddrs()
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if err != nil {
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fmt.Println(err)
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return ""
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}
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for _, address := range addrs {
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// 检查ip地址判断是否回环地址
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if ipnet, ok := address.(*net.IPNet); ok && !ipnet.IP.IsLoopback() {
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if ipnet.IP.To4() != nil {
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//fmt.Println(ipnet.Mask)
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//fmt.Println(ipnet.IP)
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return ipnet.IP.String()
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}
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}
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}
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return ""
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}
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