mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
synced 2024-11-27 02:46:47 +01:00
2f1e7298ce
`external.label` flag supposed to help to distinguish alert or recording rules source in situations when more than one `vmalert` runs for the same datasource or AlertManager.
382 lines
10 KiB
Go
382 lines
10 KiB
Go
package main
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import (
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"context"
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"fmt"
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"hash/fnv"
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"sort"
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"strconv"
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"sync"
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"time"
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"github.com/VictoriaMetrics/VictoriaMetrics/app/vmalert/config"
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"github.com/VictoriaMetrics/VictoriaMetrics/app/vmalert/datasource"
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"github.com/VictoriaMetrics/VictoriaMetrics/app/vmalert/notifier"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/prompbmarshal"
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)
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// AlertingRule is basic alert entity
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type AlertingRule struct {
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RuleID uint64
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Name string
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Expr string
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For time.Duration
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Labels map[string]string
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Annotations map[string]string
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GroupID uint64
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// guard status fields
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mu sync.RWMutex
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// stores list of active alerts
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alerts map[uint64]*notifier.Alert
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// stores last moment of time Exec was called
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lastExecTime time.Time
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// stores last error that happened in Exec func
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// resets on every successful Exec
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// may be used as Health state
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lastExecError error
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}
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func newAlertingRule(gID uint64, cfg config.Rule) *AlertingRule {
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return &AlertingRule{
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RuleID: cfg.ID,
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Name: cfg.Alert,
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Expr: cfg.Expr,
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For: cfg.For,
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Labels: cfg.Labels,
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Annotations: cfg.Annotations,
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GroupID: gID,
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alerts: make(map[uint64]*notifier.Alert),
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}
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}
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// String implements Stringer interface
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func (ar *AlertingRule) String() string {
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return ar.Name
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}
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// ID returns unique Rule ID
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// within the parent Group.
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func (ar *AlertingRule) ID() uint64 {
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return ar.RuleID
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}
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// Exec executes AlertingRule expression via the given Querier.
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// Based on the Querier results AlertingRule maintains notifier.Alerts
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func (ar *AlertingRule) Exec(ctx context.Context, q datasource.Querier, series bool) ([]prompbmarshal.TimeSeries, error) {
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qMetrics, err := q.Query(ctx, ar.Expr)
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ar.mu.Lock()
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defer ar.mu.Unlock()
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ar.lastExecError = err
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ar.lastExecTime = time.Now()
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if err != nil {
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return nil, fmt.Errorf("failed to execute query %q: %w", ar.Expr, err)
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}
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for h, a := range ar.alerts {
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// cleanup inactive alerts from previous Exec
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if a.State == notifier.StateInactive {
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delete(ar.alerts, h)
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}
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}
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updated := make(map[uint64]struct{})
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// update list of active alerts
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for _, m := range qMetrics {
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h := hash(m)
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updated[h] = struct{}{}
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if a, ok := ar.alerts[h]; ok {
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if a.Value != m.Value {
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// update Value field with latest value
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a.Value = m.Value
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// and re-exec template since Value can be used
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// in templates
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err = ar.template(a)
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if err != nil {
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return nil, err
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}
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}
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continue
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}
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a, err := ar.newAlert(m, ar.lastExecTime)
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if err != nil {
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ar.lastExecError = err
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return nil, fmt.Errorf("failed to create alert: %w", err)
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}
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a.ID = h
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a.State = notifier.StatePending
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ar.alerts[h] = a
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}
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for h, a := range ar.alerts {
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// if alert wasn't updated in this iteration
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// means it is resolved already
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if _, ok := updated[h]; !ok {
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if a.State == notifier.StatePending {
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// alert was in Pending state - it is not
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// active anymore
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delete(ar.alerts, h)
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continue
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}
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a.State = notifier.StateInactive
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continue
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}
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if a.State == notifier.StatePending && time.Since(a.Start) >= ar.For {
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a.State = notifier.StateFiring
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alertsFired.Inc()
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}
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}
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if series {
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return ar.toTimeSeries(ar.lastExecTime), nil
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}
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return nil, nil
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}
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func (ar *AlertingRule) toTimeSeries(timestamp time.Time) []prompbmarshal.TimeSeries {
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var tss []prompbmarshal.TimeSeries
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for _, a := range ar.alerts {
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if a.State == notifier.StateInactive {
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continue
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}
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ts := ar.alertToTimeSeries(a, timestamp)
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tss = append(tss, ts...)
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}
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return tss
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}
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// UpdateWith copies all significant fields.
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// alerts state isn't copied since
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// it should be updated in next 2 Execs
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func (ar *AlertingRule) UpdateWith(r Rule) error {
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nr, ok := r.(*AlertingRule)
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if !ok {
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return fmt.Errorf("BUG: attempt to update alerting rule with wrong type %#v", r)
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}
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ar.Expr = nr.Expr
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ar.For = nr.For
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ar.Labels = nr.Labels
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ar.Annotations = nr.Annotations
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return nil
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}
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// TODO: consider hashing algorithm in VM
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func hash(m datasource.Metric) uint64 {
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hash := fnv.New64a()
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labels := m.Labels
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sort.Slice(labels, func(i, j int) bool {
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return labels[i].Name < labels[j].Name
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})
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for _, l := range labels {
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// drop __name__ to be consistent with Prometheus alerting
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if l.Name == "__name__" {
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continue
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}
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hash.Write([]byte(l.Name))
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hash.Write([]byte(l.Value))
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hash.Write([]byte("\xff"))
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}
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return hash.Sum64()
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}
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func (ar *AlertingRule) newAlert(m datasource.Metric, start time.Time) (*notifier.Alert, error) {
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a := ¬ifier.Alert{
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GroupID: ar.GroupID,
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Name: ar.Name,
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Labels: map[string]string{},
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Value: m.Value,
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Start: start,
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Expr: ar.Expr,
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}
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for _, l := range m.Labels {
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// drop __name__ to be consistent with Prometheus alerting
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if l.Name == "__name__" {
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continue
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}
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a.Labels[l.Name] = l.Value
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}
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return a, ar.template(a)
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}
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func (ar *AlertingRule) template(a *notifier.Alert) error {
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// 1. template rule labels with data labels
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rLabels, err := a.ExecTemplate(ar.Labels)
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if err != nil {
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return err
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}
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// 2. merge data labels and rule labels
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// metric labels may be overridden by
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// rule labels
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for k, v := range rLabels {
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a.Labels[k] = v
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}
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// 3. template merged labels
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a.Labels, err = a.ExecTemplate(a.Labels)
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if err != nil {
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return err
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}
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a.Annotations, err = a.ExecTemplate(ar.Annotations)
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return err
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}
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// AlertAPI generates APIAlert object from alert by its id(hash)
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func (ar *AlertingRule) AlertAPI(id uint64) *APIAlert {
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ar.mu.RLock()
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defer ar.mu.RUnlock()
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a, ok := ar.alerts[id]
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if !ok {
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return nil
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}
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return ar.newAlertAPI(*a)
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}
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// RuleAPI returns Rule representation in form
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// of APIAlertingRule
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func (ar *AlertingRule) RuleAPI() APIAlertingRule {
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var lastErr string
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if ar.lastExecError != nil {
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lastErr = ar.lastExecError.Error()
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}
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return APIAlertingRule{
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// encode as strings to avoid rounding
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ID: fmt.Sprintf("%d", ar.ID()),
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GroupID: fmt.Sprintf("%d", ar.GroupID),
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Name: ar.Name,
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Expression: ar.Expr,
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For: ar.For.String(),
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LastError: lastErr,
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LastExec: ar.lastExecTime,
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Labels: ar.Labels,
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Annotations: ar.Annotations,
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}
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}
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// AlertsAPI generates list of APIAlert objects from existing alerts
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func (ar *AlertingRule) AlertsAPI() []*APIAlert {
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var alerts []*APIAlert
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ar.mu.RLock()
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for _, a := range ar.alerts {
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alerts = append(alerts, ar.newAlertAPI(*a))
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}
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ar.mu.RUnlock()
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return alerts
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}
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func (ar *AlertingRule) newAlertAPI(a notifier.Alert) *APIAlert {
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return &APIAlert{
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// encode as strings to avoid rounding
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ID: fmt.Sprintf("%d", a.ID),
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GroupID: fmt.Sprintf("%d", a.GroupID),
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Name: a.Name,
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Expression: ar.Expr,
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Labels: a.Labels,
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Annotations: a.Annotations,
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State: a.State.String(),
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ActiveAt: a.Start,
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Value: strconv.FormatFloat(a.Value, 'e', -1, 64),
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}
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}
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const (
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// AlertMetricName is the metric name for synthetic alert timeseries.
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alertMetricName = "ALERTS"
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// AlertForStateMetricName is the metric name for 'for' state of alert.
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alertForStateMetricName = "ALERTS_FOR_STATE"
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// AlertNameLabel is the label name indicating the name of an alert.
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alertNameLabel = "alertname"
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// AlertStateLabel is the label name indicating the state of an alert.
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alertStateLabel = "alertstate"
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)
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// alertToTimeSeries converts the given alert with the given timestamp to timeseries
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func (ar *AlertingRule) alertToTimeSeries(a *notifier.Alert, timestamp time.Time) []prompbmarshal.TimeSeries {
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var tss []prompbmarshal.TimeSeries
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tss = append(tss, alertToTimeSeries(ar.Name, a, timestamp))
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if ar.For > 0 {
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tss = append(tss, alertForToTimeSeries(ar.Name, a, timestamp))
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}
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return tss
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}
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func alertToTimeSeries(name string, a *notifier.Alert, timestamp time.Time) prompbmarshal.TimeSeries {
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labels := make(map[string]string)
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for k, v := range a.Labels {
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labels[k] = v
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}
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labels["__name__"] = alertMetricName
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labels[alertNameLabel] = name
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labels[alertStateLabel] = a.State.String()
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return newTimeSeries(1, labels, timestamp)
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}
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// alertForToTimeSeries returns a timeseries that represents
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// state of active alerts, where value is time when alert become active
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func alertForToTimeSeries(name string, a *notifier.Alert, timestamp time.Time) prompbmarshal.TimeSeries {
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labels := make(map[string]string)
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for k, v := range a.Labels {
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labels[k] = v
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}
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labels["__name__"] = alertForStateMetricName
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labels[alertNameLabel] = name
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return newTimeSeries(float64(a.Start.Unix()), labels, timestamp)
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}
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// Restore restores the state of active alerts basing on previously written timeseries.
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// Restore restores only Start field. Field State will be always Pending and supposed
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// to be updated on next Exec, as well as Value field.
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// Only rules with For > 0 will be restored.
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func (ar *AlertingRule) Restore(ctx context.Context, q datasource.Querier, lookback time.Duration, labels map[string]string) error {
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if q == nil {
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return fmt.Errorf("querier is nil")
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}
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// account for external labels in filter
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var labelsFilter string
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for k, v := range labels {
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labelsFilter += fmt.Sprintf(",%s=%q", k, v)
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}
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// Get the last datapoint in range via MetricsQL `last_over_time`.
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// We don't use plain PromQL since Prometheus doesn't support
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// remote write protocol which is used for state persistence in vmalert.
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expr := fmt.Sprintf("last_over_time(%s{alertname=%q%s}[%ds])",
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alertForStateMetricName, ar.Name, labelsFilter, int(lookback.Seconds()))
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qMetrics, err := q.Query(ctx, expr)
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if err != nil {
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return err
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}
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for _, m := range qMetrics {
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labels := m.Labels
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m.Labels = make([]datasource.Label, 0)
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// drop all extra labels, so hash key will
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// be identical to timeseries received in Exec
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for _, l := range labels {
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if l.Name == alertNameLabel {
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continue
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}
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// drop all overridden labels
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if _, ok := ar.Labels[l.Name]; ok {
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continue
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}
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m.Labels = append(m.Labels, l)
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}
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a, err := ar.newAlert(m, time.Unix(int64(m.Value), 0))
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if err != nil {
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return fmt.Errorf("failed to create alert: %w", err)
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}
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a.ID = hash(m)
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a.State = notifier.StatePending
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ar.alerts[a.ID] = a
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logger.Infof("alert %q(%d) restored to state at %v", a.Name, a.ID, a.Start)
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}
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return nil
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}
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