func sendCPUUsage(interval time.Duration) {
cpu, err := linux.GetCPUUsage()
now := time.Now()
if err != nil {
log.Printf("[WARN] unable to get system cpu usage: ", err.Error())
} else {
ctup, ok := data["system"]
if ok {
avg := float64(cpu-ctup.cpu) * 1000000000 / float64(now.Sub(ctup.time))
ctup.time = now
ctup.cpu = cpu
dispatch("system", now, avg)
} else {
data["system"] = &ctuple{time: now, cpu: cpu}
}
}
conts, err := docker.ListContainers()
if err != nil {
log.Fatalln("[WARN] unable to get list of containers: ", err.Error())
}
for _, cont := range conts {
cpu, err = docker.GetCPUUsage(cont)
now = time.Now()
if err != nil {
log.Printf("[WARN] unable to get cpu usage for %s: %s\n", cont, err.Error())
continue
}
ctup, ok := data[cont]
if ok {
avg := float64(cpu-ctup.cpu) * 1000000000 / float64(now.Sub(ctup.time))
ctup.time = now
ctup.cpu = cpu
dispatch(cont, now, avg)
} else {
data[cont] = &ctuple{time: now, cpu: cpu}
}
}
for _, client := range clients {
client.Flush()
}
}
func main() {
// read arguments
if len(os.Args) < 3 {
fmt.Println("[ERROR] incomplete command!")
fmt.Printf("Usage: %s <cont-name> <freq>\n", os.Args[0])
os.Exit(1)
}
cont_name := os.Args[1]
freq, err := strconv.ParseInt(os.Args[2], 10, 32)
if err != nil {
fmt.Println("[ERROR] unknown frequency argument!")
os.Exit(1)
}
// get container id
out, err := linux.Exec(fmt.Sprintf("docker inspect --format='{{.Id}}' %s", cont_name))
if err != nil {
fmt.Printf("[ERROR] unable to run cmd, output: (%s)\n", out)
panic(err)
}
cont_id := strings.TrimSpace(string(out))
// check if feedgnuplot exists
command := exec.Command("which", "feedgnuplot")
empty, err := command.CombinedOutput()
if err != nil || string(empty) == "" {
panic("[ERROR] feedgnuplot doesn't exists!")
}
// CTRL+C signal handler
sigs := make(chan os.Signal, 1)
done := true
signal.Notify(sigs, syscall.SIGINT, syscall.SIGTERM)
go func() {
_ = <-sigs
done = false
}()
// init feedgnuplot
command = exec.Command("feedgnuplot", "--lines --stream --title 'cpu-usage' --ylabel 'cpu (100% = 1core)' --xlabel 'time ticks'")
reader, writer := io.Pipe()
command.Stdin = reader
command.Stdout = os.Stdout
command.Stderr = os.Stderr
err = command.Start()
if err != nil {
fmt.Println("[ERROR] error while starting feedgnuplot!")
panic(err)
}
// init readings
cur_time := time.Now().UnixNano()
cur_cpu, err := docker.GetCPUUsage(cont_id)
if err != nil {
fmt.Println("[WARN] unable to get container CPU usage!")
cur_cpu = 0
}
// infinite loop for plotting data
for done {
new_cpu, err := docker.GetCPUUsage(cont_id)
if err != nil {
fmt.Println("[WARN] unable to get container CPU usage!")
new_cpu = 0
}
new_time := time.Now().UnixNano()
avg_cpu := float64(new_cpu-cur_cpu) / float64(new_time-cur_time) * 1000000000.0
cur_time = new_time
cur_cpu = new_cpu
_, err = io.WriteString(writer, fmt.Sprintf("%.6f\n", avg_cpu))
if err != nil {
panic("[ERROR] unable to write to feedgnuplot-stdin!")
}
time.Sleep(time.Duration(freq) * time.Millisecond)
}
_, err = io.WriteString(writer, "exit\n")
if err != nil {
panic("[ERROR] unable to write to feedgnuplot-stdin!")
}
command.Wait()
return
}
