mirror of
https://github.com/ClusterCockpit/cc-metric-collector.git
synced 2024-11-10 04:27:25 +01:00
133 lines
3.1 KiB
Go
133 lines
3.1 KiB
Go
package collectors
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import (
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"encoding/json"
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"fmt"
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"io/ioutil"
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"strconv"
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"strings"
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"time"
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cclog "github.com/ClusterCockpit/cc-metric-collector/internal/ccLogger"
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lp "github.com/ClusterCockpit/cc-metric-collector/internal/ccMetric"
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stats "github.com/ClusterCockpit/cc-metric-collector/internal/metricRouter"
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)
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//
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// LoadavgCollector collects:
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// * load average of last 1, 5 & 15 minutes
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// * number of processes currently runnable
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// * total number of processes in system
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//
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// See: https://www.kernel.org/doc/html/latest/filesystems/proc.html
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//
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const LOADAVGFILE = "/proc/loadavg"
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type LoadavgCollector struct {
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metricCollector
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tags map[string]string
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load_matches []string
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load_skips []bool
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proc_matches []string
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proc_skips []bool
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config struct {
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ExcludeMetrics []string `json:"exclude_metrics,omitempty"`
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}
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statsProcessedMetrics int64
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}
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func (m *LoadavgCollector) Init(config json.RawMessage) error {
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m.name = "LoadavgCollector"
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m.setup()
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if len(config) > 0 {
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err := json.Unmarshal(config, &m.config)
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if err != nil {
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return err
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}
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}
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m.meta = map[string]string{
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"source": m.name,
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"group": "LOAD"}
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m.tags = map[string]string{"type": "node"}
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m.load_matches = []string{
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"load_one",
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"load_five",
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"load_fifteen"}
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m.load_skips = make([]bool, len(m.load_matches))
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m.proc_matches = []string{
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"proc_run",
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"proc_total"}
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m.proc_skips = make([]bool, len(m.proc_matches))
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for i, name := range m.load_matches {
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_, m.load_skips[i] = stringArrayContains(m.config.ExcludeMetrics, name)
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}
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for i, name := range m.proc_matches {
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_, m.proc_skips[i] = stringArrayContains(m.config.ExcludeMetrics, name)
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}
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m.statsProcessedMetrics = 0
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m.init = true
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return nil
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}
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func (m *LoadavgCollector) Read(interval time.Duration, output chan lp.CCMetric) {
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if !m.init {
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return
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}
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buffer, err := ioutil.ReadFile(LOADAVGFILE)
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if err != nil {
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if err != nil {
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cclog.ComponentError(
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m.name,
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fmt.Sprintf("Read(): Failed to read file '%s': %v", LOADAVGFILE, err))
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}
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return
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}
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now := time.Now()
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// Load metrics
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ls := strings.Split(string(buffer), ` `)
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for i, name := range m.load_matches {
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x, err := strconv.ParseFloat(ls[i], 64)
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if err != nil {
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cclog.ComponentError(
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m.name,
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fmt.Sprintf("Read(): Failed to convert '%s' to float64: %v", ls[i], err))
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continue
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}
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if m.load_skips[i] {
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continue
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}
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y, err := lp.New(name, m.tags, m.meta, map[string]interface{}{"value": x}, now)
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if err == nil {
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output <- y
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m.statsProcessedMetrics++
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}
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}
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// Process metrics
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lv := strings.Split(ls[3], `/`)
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for i, name := range m.proc_matches {
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x, err := strconv.ParseInt(lv[i], 10, 64)
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if err != nil {
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cclog.ComponentError(
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m.name,
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fmt.Sprintf("Read(): Failed to convert '%s' to float64: %v", lv[i], err))
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continue
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}
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if m.proc_skips[i] {
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continue
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}
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y, err := lp.New(name, m.tags, m.meta, map[string]interface{}{"value": x}, now)
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if err == nil {
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output <- y
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m.statsProcessedMetrics++
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}
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}
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stats.ComponentStatInt(m.name, "processed_metrics", m.statsProcessedMetrics)
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}
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func (m *LoadavgCollector) Close() {
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m.init = false
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}
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