mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
synced 2024-11-21 14:44:00 +00:00
9cdd4696fe
Alerting rules now can return specific error type ErrStateRestore to indicate whether restore state procedure failed. Such errors were returned and logged before as well. But now user can specify whether to just log these errors (remoteRead.ignoreRestoreErrors=true) or to stop the process (remoteRead.ignoreRestoreErrors=false). The latter is important when VM isn't ready yet to serve queries from vmalert and it needs to wait. https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1252
459 lines
13 KiB
Go
459 lines
13 KiB
Go
package main
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import (
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"context"
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"errors"
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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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"github.com/VictoriaMetrics/metrics"
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)
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// AlertingRule is basic alert entity
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type AlertingRule struct {
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Type datasource.Type
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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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GroupName string
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q datasource.Querier
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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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metrics *alertingRuleMetrics
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}
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type alertingRuleMetrics struct {
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errors *gauge
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pending *gauge
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active *gauge
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}
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func newAlertingRule(qb datasource.QuerierBuilder, group *Group, cfg config.Rule) *AlertingRule {
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ar := &AlertingRule{
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Type: cfg.Type,
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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.Duration(),
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Labels: cfg.Labels,
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Annotations: cfg.Annotations,
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GroupID: group.ID(),
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GroupName: group.Name,
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q: qb.BuildWithParams(datasource.QuerierParams{
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DataSourceType: &cfg.Type,
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EvaluationInterval: group.Interval,
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}),
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alerts: make(map[uint64]*notifier.Alert),
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metrics: &alertingRuleMetrics{},
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}
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labels := fmt.Sprintf(`alertname=%q, group=%q, id="%d"`, ar.Name, group.Name, ar.ID())
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ar.metrics.pending = getOrCreateGauge(fmt.Sprintf(`vmalert_alerts_pending{%s}`, labels),
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func() float64 {
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ar.mu.Lock()
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defer ar.mu.Unlock()
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var num int
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for _, a := range ar.alerts {
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if a.State == notifier.StatePending {
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num++
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}
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}
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return float64(num)
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})
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ar.metrics.active = getOrCreateGauge(fmt.Sprintf(`vmalert_alerts_firing{%s}`, labels),
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func() float64 {
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ar.mu.Lock()
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defer ar.mu.Unlock()
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var num int
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for _, a := range ar.alerts {
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if a.State == notifier.StateFiring {
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num++
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}
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}
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return float64(num)
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})
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ar.metrics.errors = getOrCreateGauge(fmt.Sprintf(`vmalert_alerts_error{%s}`, labels),
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func() float64 {
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ar.mu.Lock()
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defer ar.mu.Unlock()
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if ar.lastExecError == nil {
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return 0
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}
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return 1
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})
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return ar
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}
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// Close unregisters rule metrics
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func (ar *AlertingRule) Close() {
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metrics.UnregisterMetric(ar.metrics.active.name)
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metrics.UnregisterMetric(ar.metrics.pending.name)
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metrics.UnregisterMetric(ar.metrics.errors.name)
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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, series bool) ([]prompbmarshal.TimeSeries, error) {
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qMetrics, err := ar.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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qFn := func(query string) ([]datasource.Metric, error) { return ar.q.Query(ctx, query) }
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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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// extra labels could contain templates, so we expand them first
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labels, err := expandLabels(m, qFn, ar)
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if err != nil {
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return nil, fmt.Errorf("failed to expand labels: %s", err)
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}
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for k, v := range labels {
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// apply extra labels to datasource
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// so the hash key will be consistent on restore
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m.SetLabel(k, v)
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}
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h := hash(m)
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if _, ok := updated[h]; ok {
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// duplicate may be caused by extra labels
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// conflicting with the metric labels
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return nil, fmt.Errorf("labels %v: %w", m.Labels, errDuplicate)
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}
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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 annotations
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a.Annotations, err = a.ExecTemplate(qFn, ar.Annotations)
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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, qFn)
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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 expandLabels(m datasource.Metric, q notifier.QueryFn, ar *AlertingRule) (map[string]string, error) {
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metricLabels := make(map[string]string)
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for _, l := range m.Labels {
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metricLabels[l.Name] = l.Value
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}
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tpl := notifier.AlertTplData{
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Labels: metricLabels,
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Value: m.Value,
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Expr: ar.Expr,
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}
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return notifier.ExecTemplate(q, ar.Labels, tpl)
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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, qFn notifier.QueryFn) (*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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// label defined here to make override possible by
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// time series labels.
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a.Labels[alertGroupNameLabel] = ar.GroupName
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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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var err error
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a.Annotations, err = a.ExecTemplate(qFn, ar.Annotations)
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return a, 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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Type: ar.Type.String(),
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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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// alertGroupNameLabel defines the label name attached for generated time series.
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alertGroupNameLabel = "alertgroup"
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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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var ErrStateRestore = errors.New("failed to restore the state")
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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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qFn := func(query string) ([]datasource.Metric, error) { return ar.q.Query(ctx, query) }
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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 data point 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 fmt.Errorf("%s: %w", err, ErrStateRestore)
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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 time series received in Exec
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for _, l := range labels {
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if l.Name == alertNameLabel || l.Name == alertGroupNameLabel {
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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), qFn)
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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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