cc-metric-collector/collectors/cpustatMetric.go

172 lines
4.4 KiB
Go

package collectors
import (
"bufio"
"encoding/json"
"fmt"
"os"
"strconv"
"strings"
"time"
cclog "github.com/ClusterCockpit/cc-metric-collector/pkg/ccLogger"
lp "github.com/ClusterCockpit/cc-metric-collector/pkg/ccMetric"
sysconf "github.com/tklauser/go-sysconf"
)
const CPUSTATFILE = `/proc/stat`
type CpustatCollectorConfig struct {
ExcludeMetrics []string `json:"exclude_metrics,omitempty"`
}
type CpustatCollector struct {
metricCollector
config CpustatCollectorConfig
lastTimestamp time.Time // Store time stamp of last tick to derive values
matches map[string]int
cputags map[string]map[string]string
nodetags map[string]string
olddata map[string]map[string]int64
}
func (m *CpustatCollector) Init(config json.RawMessage) error {
m.name = "CpustatCollector"
m.setup()
m.parallel = true
m.meta = map[string]string{"source": m.name, "group": "CPU", "unit": "Percent"}
m.nodetags = map[string]string{"type": "node"}
if len(config) > 0 {
err := json.Unmarshal(config, &m.config)
if err != nil {
return err
}
}
matches := map[string]int{
"cpu_user": 1,
"cpu_nice": 2,
"cpu_system": 3,
"cpu_idle": 4,
"cpu_iowait": 5,
"cpu_irq": 6,
"cpu_softirq": 7,
"cpu_steal": 8,
"cpu_guest": 9,
"cpu_guest_nice": 10,
}
m.matches = make(map[string]int)
for match, index := range matches {
doExclude := false
for _, exclude := range m.config.ExcludeMetrics {
if match == exclude {
doExclude = true
break
}
}
if !doExclude {
m.matches[match] = index
}
}
// Check input file
file, err := os.Open(string(CPUSTATFILE))
if err != nil {
cclog.ComponentError(m.name, err.Error())
}
defer file.Close()
// Pre-generate tags for all CPUs
num_cpus := 0
m.cputags = make(map[string]map[string]string)
m.olddata = make(map[string]map[string]int64)
scanner := bufio.NewScanner(file)
for scanner.Scan() {
line := scanner.Text()
linefields := strings.Fields(line)
if strings.Compare(linefields[0], "cpu") == 0 {
m.olddata["cpu"] = make(map[string]int64)
for k, v := range m.matches {
m.olddata["cpu"][k], _ = strconv.ParseInt(linefields[v], 0, 64)
}
} else if strings.HasPrefix(linefields[0], "cpu") && strings.Compare(linefields[0], "cpu") != 0 {
cpustr := strings.TrimLeft(linefields[0], "cpu")
cpu, _ := strconv.Atoi(cpustr)
m.cputags[linefields[0]] = map[string]string{"type": "hwthread", "type-id": fmt.Sprintf("%d", cpu)}
m.olddata[linefields[0]] = make(map[string]int64)
for k, v := range m.matches {
m.olddata[linefields[0]][k], _ = strconv.ParseInt(linefields[v], 0, 64)
}
num_cpus++
}
}
m.lastTimestamp = time.Now()
m.init = true
return nil
}
func (m *CpustatCollector) parseStatLine(linefields []string, tags map[string]string, output chan lp.CCMetric, now time.Time, tsdelta time.Duration) {
values := make(map[string]float64)
clktck, _ := sysconf.Sysconf(sysconf.SC_CLK_TCK)
for match, index := range m.matches {
if len(match) > 0 {
x, err := strconv.ParseInt(linefields[index], 0, 64)
if err == nil {
vdiff := x - m.olddata[linefields[0]][match]
m.olddata[linefields[0]][match] = x // Store new value for next run
values[match] = float64(vdiff) / float64(tsdelta.Seconds()) / float64(clktck)
}
}
}
for name, value := range values {
y, err := lp.New(name, tags, m.meta, map[string]interface{}{"value": value * 100}, now)
if err == nil {
output <- y
}
}
}
func (m *CpustatCollector) Read(interval time.Duration, output chan lp.CCMetric) {
if !m.init {
return
}
num_cpus := 0
now := time.Now()
tsdelta := now.Sub(m.lastTimestamp)
file, err := os.Open(string(CPUSTATFILE))
if err != nil {
cclog.ComponentError(m.name, err.Error())
}
defer file.Close()
scanner := bufio.NewScanner(file)
for scanner.Scan() {
line := scanner.Text()
linefields := strings.Fields(line)
if strings.Compare(linefields[0], "cpu") == 0 {
m.parseStatLine(linefields, m.nodetags, output, now, tsdelta)
} else if strings.HasPrefix(linefields[0], "cpu") {
m.parseStatLine(linefields, m.cputags[linefields[0]], output, now, tsdelta)
num_cpus++
}
}
num_cpus_metric, err := lp.New("num_cpus",
m.nodetags,
m.meta,
map[string]interface{}{"value": int(num_cpus)},
now,
)
if err == nil {
output <- num_cpus_metric
}
m.lastTimestamp = now
}
func (m *CpustatCollector) Close() {
m.init = false
}