mirror of
https://github.com/ClusterCockpit/cc-metric-collector.git
synced 2024-09-20 07:27:25 +02:00
123 lines
3.8 KiB
Go
123 lines
3.8 KiB
Go
package collectors
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import (
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"encoding/json"
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"sync"
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"time"
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cclog "github.com/ClusterCockpit/cc-metric-collector/pkg/ccLogger"
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lp "github.com/ClusterCockpit/cc-metric-collector/pkg/ccMetric"
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)
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// These are the fields we read from the JSON configuration
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type SampleTimerCollectorConfig struct {
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Interval string `json:"interval"`
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}
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// This contains all variables we need during execution and the variables
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// defined by metricCollector (name, init, ...)
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type SampleTimerCollector struct {
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metricCollector
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wg sync.WaitGroup // sync group for management
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done chan bool // channel for management
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meta map[string]string // default meta information
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tags map[string]string // default tags
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config SampleTimerCollectorConfig // the configuration structure
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interval time.Duration // the interval parsed from configuration
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ticker *time.Ticker // own timer
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output chan lp.CCMetric // own internal output channel
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}
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func (m *SampleTimerCollector) Init(name string, config json.RawMessage) error {
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var err error = nil
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// Always set the name early in Init() to use it in cclog.Component* functions
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m.name = "SampleTimerCollector"
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// This is for later use, also call it early
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m.setup()
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// Define meta information sent with each metric
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// (Can also be dynamic or this is the basic set with extension through AddMeta())
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m.meta = map[string]string{"source": m.name, "group": "SAMPLE"}
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// Define tags sent with each metric
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// The 'type' tag is always needed, it defines the granulatity of the metric
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// node -> whole system
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// socket -> CPU socket (requires socket ID as 'type-id' tag)
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// cpu -> single CPU hardware thread (requires cpu ID as 'type-id' tag)
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m.tags = map[string]string{"type": "node"}
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// Read in the JSON configuration
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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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cclog.ComponentError(m.name, "Error reading config:", err.Error())
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return err
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}
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}
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// Parse the read interval duration
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m.interval, err = time.ParseDuration(m.config.Interval)
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if err != nil {
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cclog.ComponentError(m.name, "Error parsing interval:", err.Error())
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return err
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}
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// Storage for output channel
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m.output = nil
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// Mangement channel for the timer function.
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m.done = make(chan bool)
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// Create the own ticker
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m.ticker = time.NewTicker(m.interval)
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// Start the timer loop with return functionality by sending 'true' to the done channel
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m.wg.Add(1)
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go func() {
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select {
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case <-m.done:
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// Exit the timer loop
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cclog.ComponentDebug(m.name, "Closing...")
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m.wg.Done()
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return
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case timestamp := <-m.ticker.C:
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// This is executed every timer tick but we have to wait until the first
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// Read() to get the output channel
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if m.output != nil {
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m.ReadMetrics(timestamp)
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}
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}
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}()
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// Set this flag only if everything is initialized properly, all required files exist, ...
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m.init = true
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return err
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}
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// This function is called at each interval timer tick
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func (m *SampleTimerCollector) ReadMetrics(timestamp time.Time) {
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// Create a sample metric
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value := 1.0
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// If you want to measure something for a specific amout of time, use interval
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// start := readState()
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// time.Sleep(interval)
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// stop := readState()
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// value = (stop - start) / interval.Seconds()
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y, err := lp.New("sample_metric", m.tags, m.meta, map[string]interface{}{"value": value}, timestamp)
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if err == nil && m.output != nil {
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// Send it to output channel if we have a valid channel
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m.output <- y
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}
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}
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func (m *SampleTimerCollector) Read(interval time.Duration, output chan lp.CCMetric) {
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// Capture output channel
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m.output = output
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}
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func (m *SampleTimerCollector) Close() {
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// Send signal to the timer loop to stop it
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m.done <- true
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// Wait until the timer loop is done
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m.wg.Wait()
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// Unset flag
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m.init = false
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}
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