mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
synced 2024-11-21 14:44:00 +00:00
415b1ddfb5
The check for non-nil remoteRead was mistakenly dropped during refactoring which caused panics when `vmalert` wasn't configured with `remoteRead` flag.
339 lines
8.9 KiB
Go
339 lines
8.9 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/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/metricsql"
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)
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// Rule is basic alert entity
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type Rule struct {
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Name string `yaml:"alert"`
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Expr string `yaml:"expr"`
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For time.Duration `yaml:"for"`
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Labels map[string]string `yaml:"labels"`
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Annotations map[string]string `yaml:"annotations"`
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group Group
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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 (r *Rule) id() string {
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return r.Name
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}
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// Validate validates rule
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func (r *Rule) Validate() error {
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if r.Name == "" {
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return errors.New("rule name can not be empty")
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}
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if r.Expr == "" {
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return fmt.Errorf("expression for rule %q can't be empty", r.Name)
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}
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if _, err := metricsql.Parse(r.Expr); err != nil {
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return fmt.Errorf("invalid expression for rule %q: %w", r.Name, err)
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}
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return nil
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}
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// Exec executes Rule expression via the given Querier.
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// Based on the Querier results Rule maintains notifier.Alerts
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func (r *Rule) Exec(ctx context.Context, q datasource.Querier) error {
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qMetrics, err := q.Query(ctx, r.Expr)
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r.mu.Lock()
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defer r.mu.Unlock()
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r.lastExecError = err
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r.lastExecTime = time.Now()
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if err != nil {
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return fmt.Errorf("failed to execute query %q: %s", r.Expr, err)
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}
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for h, a := range r.alerts {
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// cleanup inactive alerts from previous Eval
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if a.State == notifier.StateInactive {
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delete(r.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 := r.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 = r.template(a)
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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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continue
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}
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a, err := r.newAlert(m)
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if err != nil {
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r.lastExecError = err
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return fmt.Errorf("failed to create alert: %s", err)
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}
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a.ID = h
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a.State = notifier.StatePending
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r.alerts[h] = a
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}
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for h, a := range r.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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a.State = notifier.StateInactive
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// set endTime to last execution time
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// so it can be sent by notifier on next step
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a.End = r.lastExecTime
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continue
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}
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if a.State == notifier.StatePending && time.Since(a.Start) >= r.For {
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a.State = notifier.StateFiring
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alertsFired.Inc()
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}
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if a.State == notifier.StateFiring {
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a.End = r.lastExecTime.Add(3 * *evaluationInterval)
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}
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}
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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 (r *Rule) newAlert(m datasource.Metric) (*notifier.Alert, error) {
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a := ¬ifier.Alert{
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GroupID: r.group.ID(),
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Name: r.Name,
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Labels: map[string]string{},
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Value: m.Value,
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Start: time.Now(),
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// TODO: support End time
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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, r.template(a)
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}
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func (r *Rule) template(a *notifier.Alert) error {
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// 1. template rule labels with data labels
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rLabels, err := a.ExecTemplate(r.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(r.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 (r *Rule) AlertAPI(id uint64) *APIAlert {
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r.mu.RLock()
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defer r.mu.RUnlock()
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a, ok := r.alerts[id]
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if !ok {
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return nil
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}
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return r.newAlertAPI(*a)
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}
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// AlertsAPI generates list of APIAlert objects from existing alerts
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func (r *Rule) AlertsAPI() []*APIAlert {
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var alerts []*APIAlert
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r.mu.RLock()
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for _, a := range r.alerts {
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alerts = append(alerts, r.newAlertAPI(*a))
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}
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r.mu.RUnlock()
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return alerts
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}
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func (r *Rule) 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: r.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 (r *Rule) 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(r.Name, a, timestamp))
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if r.For > 0 {
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tss = append(tss, alertForToTimeSeries(r.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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func newTimeSeries(value float64, labels map[string]string, timestamp time.Time) prompbmarshal.TimeSeries {
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ts := prompbmarshal.TimeSeries{}
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ts.Samples = append(ts.Samples, prompbmarshal.Sample{
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Value: value,
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Timestamp: timestamp.UnixNano() / 1e6,
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})
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keys := make([]string, 0, len(labels))
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for k := range labels {
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keys = append(keys, k)
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}
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sort.Strings(keys)
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for _, key := range keys {
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ts.Labels = append(ts.Labels, prompbmarshal.Label{
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Name: key,
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Value: labels[key],
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})
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}
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return ts
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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 Eval, as well as Value field.
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func (r *Rule) Restore(ctx context.Context, q datasource.Querier, lookback time.Duration) 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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// 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}[%ds])",
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alertForStateMetricName, r.Name, 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 Eval
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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 := r.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 := r.newAlert(m)
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if err != nil {
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return fmt.Errorf("failed to create alert: %s", 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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a.Start = time.Unix(int64(m.Value), 0)
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r.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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