VictoriaMetrics/app/vmalert/alerting.go

package main

import (
	"context"
	"fmt"
	"hash/fnv"
	"sort"
	"strconv"
	"sync"
	"time"

	"github.com/VictoriaMetrics/VictoriaMetrics/app/vmalert/config"
	"github.com/VictoriaMetrics/VictoriaMetrics/app/vmalert/datasource"
	"github.com/VictoriaMetrics/VictoriaMetrics/app/vmalert/notifier"
	"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
	"github.com/VictoriaMetrics/VictoriaMetrics/lib/prompbmarshal"
	"github.com/VictoriaMetrics/metrics"
)

// AlertingRule is basic alert entity
type AlertingRule struct {
	RuleID      uint64
	Name        string
	Expr        string
	For         time.Duration
	Labels      map[string]string
	Annotations map[string]string
	GroupID     uint64
	GroupName   string

	// guard status fields
	mu sync.RWMutex
	// stores list of active alerts
	alerts map[uint64]*notifier.Alert
	// stores last moment of time Exec was called
	lastExecTime time.Time
	// stores last error that happened in Exec func
	// resets on every successful Exec
	// may be used as Health state
	lastExecError error

	metrics *alertingRuleMetrics
}

type alertingRuleMetrics struct {
	errors  *gauge
	pending *gauge
	active  *gauge
}

func newAlertingRule(group *Group, cfg config.Rule) *AlertingRule {
	ar := &AlertingRule{
		RuleID:      cfg.ID,
		Name:        cfg.Alert,
		Expr:        cfg.Expr,
		For:         cfg.For.Duration(),
		Labels:      cfg.Labels,
		Annotations: cfg.Annotations,
		GroupID:     group.ID(),
		GroupName:   group.Name,
		alerts:      make(map[uint64]*notifier.Alert),
		metrics:     &alertingRuleMetrics{},
	}

	labels := fmt.Sprintf(`alertname=%q, group=%q, id="%d"`, ar.Name, group.Name, ar.ID())
	ar.metrics.pending = getOrCreateGauge(fmt.Sprintf(`vmalert_alerts_pending{%s}`, labels),
		func() float64 {
			ar.mu.Lock()
			defer ar.mu.Unlock()
			var num int
			for _, a := range ar.alerts {
				if a.State == notifier.StatePending {
					num++
				}
			}
			return float64(num)
		})
	ar.metrics.active = getOrCreateGauge(fmt.Sprintf(`vmalert_alerts_firing{%s}`, labels),
		func() float64 {
			ar.mu.Lock()
			defer ar.mu.Unlock()
			var num int
			for _, a := range ar.alerts {
				if a.State == notifier.StateFiring {
					num++
				}
			}
			return float64(num)
		})
	ar.metrics.errors = getOrCreateGauge(fmt.Sprintf(`vmalert_alerts_error{%s}`, labels),
		func() float64 {
			ar.mu.Lock()
			defer ar.mu.Unlock()
			if ar.lastExecError == nil {
				return 0
			}
			return 1
		})
	return ar
}

// Close unregisters rule metrics
func (ar *AlertingRule) Close() {
	metrics.UnregisterMetric(ar.metrics.active.name)
	metrics.UnregisterMetric(ar.metrics.pending.name)
	metrics.UnregisterMetric(ar.metrics.errors.name)
}

// String implements Stringer interface
func (ar *AlertingRule) String() string {
	return ar.Name
}

// ID returns unique Rule ID
// within the parent Group.
func (ar *AlertingRule) ID() uint64 {
	return ar.RuleID
}

// Exec executes AlertingRule expression via the given Querier.
// Based on the Querier results AlertingRule maintains notifier.Alerts
func (ar *AlertingRule) Exec(ctx context.Context, q datasource.Querier, series bool) ([]prompbmarshal.TimeSeries, error) {
	qMetrics, err := q.Query(ctx, ar.Expr)
	ar.mu.Lock()
	defer ar.mu.Unlock()

	ar.lastExecError = err
	ar.lastExecTime = time.Now()
	if err != nil {
		return nil, fmt.Errorf("failed to execute query %q: %w", ar.Expr, err)
	}

	for h, a := range ar.alerts {
		// cleanup inactive alerts from previous Exec
		if a.State == notifier.StateInactive {
			delete(ar.alerts, h)
		}
	}

	qFn := func(query string) ([]datasource.Metric, error) { return q.Query(ctx, query) }
	updated := make(map[uint64]struct{})
	// update list of active alerts
	for _, m := range qMetrics {
		for k, v := range ar.Labels {
			// apply extra labels
			m.SetLabel(k, v)
		}

		h := hash(m)
		if _, ok := updated[h]; ok {
			// duplicate may be caused by extra labels
			// conflicting with the metric labels
			return nil, fmt.Errorf("labels %v: %w", m.Labels, errDuplicate)
		}
		updated[h] = struct{}{}
		if a, ok := ar.alerts[h]; ok {
			if a.Value != m.Value {
				// update Value field with latest value
				a.Value = m.Value
				// and re-exec template since Value can be used
				// in templates
				err = ar.template(a, qFn)
				if err != nil {
					return nil, err
				}
			}
			continue
		}
		a, err := ar.newAlert(m, ar.lastExecTime, qFn)
		if err != nil {
			ar.lastExecError = err
			return nil, fmt.Errorf("failed to create alert: %w", err)
		}
		a.ID = h
		a.State = notifier.StatePending
		ar.alerts[h] = a
	}

	for h, a := range ar.alerts {
		// if alert wasn't updated in this iteration
		// means it is resolved already
		if _, ok := updated[h]; !ok {
			if a.State == notifier.StatePending {
				// alert was in Pending state - it is not
				// active anymore
				delete(ar.alerts, h)
				continue
			}
			a.State = notifier.StateInactive
			continue
		}
		if a.State == notifier.StatePending && time.Since(a.Start) >= ar.For {
			a.State = notifier.StateFiring
			alertsFired.Inc()
		}
	}
	if series {
		return ar.toTimeSeries(ar.lastExecTime), nil
	}
	return nil, nil
}

func (ar *AlertingRule) toTimeSeries(timestamp time.Time) []prompbmarshal.TimeSeries {
	var tss []prompbmarshal.TimeSeries
	for _, a := range ar.alerts {
		if a.State == notifier.StateInactive {
			continue
		}
		ts := ar.alertToTimeSeries(a, timestamp)
		tss = append(tss, ts...)
	}
	return tss
}

// UpdateWith copies all significant fields.
// alerts state isn't copied since
// it should be updated in next 2 Execs
func (ar *AlertingRule) UpdateWith(r Rule) error {
	nr, ok := r.(*AlertingRule)
	if !ok {
		return fmt.Errorf("BUG: attempt to update alerting rule with wrong type %#v", r)
	}
	ar.Expr = nr.Expr
	ar.For = nr.For
	ar.Labels = nr.Labels
	ar.Annotations = nr.Annotations
	return nil
}

// TODO: consider hashing algorithm in VM
func hash(m datasource.Metric) uint64 {
	hash := fnv.New64a()
	labels := m.Labels
	sort.Slice(labels, func(i, j int) bool {
		return labels[i].Name < labels[j].Name
	})
	for _, l := range labels {
		// drop __name__ to be consistent with Prometheus alerting
		if l.Name == "__name__" {
			continue
		}
		hash.Write([]byte(l.Name))
		hash.Write([]byte(l.Value))
		hash.Write([]byte("\xff"))
	}
	return hash.Sum64()
}

func (ar *AlertingRule) newAlert(m datasource.Metric, start time.Time, qFn notifier.QueryFn) (*notifier.Alert, error) {
	a := &notifier.Alert{
		GroupID: ar.GroupID,
		Name:    ar.Name,
		Labels:  map[string]string{},
		Value:   m.Value,
		Start:   start,
		Expr:    ar.Expr,
	}
	// label defined here to make override possible by
	// time series labels.
	a.Labels[alertGroupNameLabel] = ar.GroupName
	for _, l := range m.Labels {
		// drop __name__ to be consistent with Prometheus alerting
		if l.Name == "__name__" {
			continue
		}
		a.Labels[l.Name] = l.Value
	}
	return a, ar.template(a, qFn)
}

func (ar *AlertingRule) template(a *notifier.Alert, qFn notifier.QueryFn) error {
	var err error
	a.Labels, err = a.ExecTemplate(qFn, a.Labels)
	if err != nil {
		return err
	}
	a.Annotations, err = a.ExecTemplate(qFn, ar.Annotations)
	return err
}

// AlertAPI generates APIAlert object from alert by its id(hash)
func (ar *AlertingRule) AlertAPI(id uint64) *APIAlert {
	ar.mu.RLock()
	defer ar.mu.RUnlock()
	a, ok := ar.alerts[id]
	if !ok {
		return nil
	}
	return ar.newAlertAPI(*a)
}

// RuleAPI returns Rule representation in form
// of APIAlertingRule
func (ar *AlertingRule) RuleAPI() APIAlertingRule {
	var lastErr string
	if ar.lastExecError != nil {
		lastErr = ar.lastExecError.Error()
	}
	return APIAlertingRule{
		// encode as strings to avoid rounding
		ID:          fmt.Sprintf("%d", ar.ID()),
		GroupID:     fmt.Sprintf("%d", ar.GroupID),
		Name:        ar.Name,
		Expression:  ar.Expr,
		For:         ar.For.String(),
		LastError:   lastErr,
		LastExec:    ar.lastExecTime,
		Labels:      ar.Labels,
		Annotations: ar.Annotations,
	}
}

// AlertsAPI generates list of APIAlert objects from existing alerts
func (ar *AlertingRule) AlertsAPI() []*APIAlert {
	var alerts []*APIAlert
	ar.mu.RLock()
	for _, a := range ar.alerts {
		alerts = append(alerts, ar.newAlertAPI(*a))
	}
	ar.mu.RUnlock()
	return alerts
}

func (ar *AlertingRule) newAlertAPI(a notifier.Alert) *APIAlert {
	return &APIAlert{
		// encode as strings to avoid rounding
		ID:      fmt.Sprintf("%d", a.ID),
		GroupID: fmt.Sprintf("%d", a.GroupID),

		Name:        a.Name,
		Expression:  ar.Expr,
		Labels:      a.Labels,
		Annotations: a.Annotations,
		State:       a.State.String(),
		ActiveAt:    a.Start,
		Value:       strconv.FormatFloat(a.Value, 'e', -1, 64),
	}
}

const (
	// alertMetricName is the metric name for synthetic alert timeseries.
	alertMetricName = "ALERTS"
	// alertForStateMetricName is the metric name for 'for' state of alert.
	alertForStateMetricName = "ALERTS_FOR_STATE"

	// alertNameLabel is the label name indicating the name of an alert.
	alertNameLabel = "alertname"
	// alertStateLabel is the label name indicating the state of an alert.
	alertStateLabel = "alertstate"

	// alertGroupNameLabel defines the label name attached for generated time series.
	alertGroupNameLabel = "alertgroup"
)

// alertToTimeSeries converts the given alert with the given timestamp to timeseries
func (ar *AlertingRule) alertToTimeSeries(a *notifier.Alert, timestamp time.Time) []prompbmarshal.TimeSeries {
	var tss []prompbmarshal.TimeSeries
	tss = append(tss, alertToTimeSeries(ar.Name, a, timestamp))
	if ar.For > 0 {
		tss = append(tss, alertForToTimeSeries(ar.Name, a, timestamp))
	}
	return tss
}

func alertToTimeSeries(name string, a *notifier.Alert, timestamp time.Time) prompbmarshal.TimeSeries {
	labels := make(map[string]string)
	for k, v := range a.Labels {
		labels[k] = v
	}
	labels["__name__"] = alertMetricName
	labels[alertNameLabel] = name
	labels[alertStateLabel] = a.State.String()
	return newTimeSeries(1, labels, timestamp)
}

// alertForToTimeSeries returns a timeseries that represents
// state of active alerts, where value is time when alert become active
func alertForToTimeSeries(name string, a *notifier.Alert, timestamp time.Time) prompbmarshal.TimeSeries {
	labels := make(map[string]string)
	for k, v := range a.Labels {
		labels[k] = v
	}
	labels["__name__"] = alertForStateMetricName
	labels[alertNameLabel] = name
	return newTimeSeries(float64(a.Start.Unix()), labels, timestamp)
}

// Restore restores the state of active alerts basing on previously written timeseries.
// Restore restores only Start field. Field State will be always Pending and supposed
// to be updated on next Exec, as well as Value field.
// Only rules with For > 0 will be restored.
func (ar *AlertingRule) Restore(ctx context.Context, q datasource.Querier, lookback time.Duration, labels map[string]string) error {
	if q == nil {
		return fmt.Errorf("querier is nil")
	}

	qFn := func(query string) ([]datasource.Metric, error) { return q.Query(ctx, query) }

	// account for external labels in filter
	var labelsFilter string
	for k, v := range labels {
		labelsFilter += fmt.Sprintf(",%s=%q", k, v)
	}

	// Get the last data point in range via MetricsQL `last_over_time`.
	// We don't use plain PromQL since Prometheus doesn't support
	// remote write protocol which is used for state persistence in vmalert.
	expr := fmt.Sprintf("last_over_time(%s{alertname=%q%s}[%ds])",
		alertForStateMetricName, ar.Name, labelsFilter, int(lookback.Seconds()))
	qMetrics, err := q.Query(ctx, expr)
	if err != nil {
		return err
	}

	for _, m := range qMetrics {
		labels := m.Labels
		m.Labels = make([]datasource.Label, 0)
		// drop all extra labels, so hash key will
		// be identical to time series received in Exec
		for _, l := range labels {
			if l.Name == alertNameLabel || l.Name == alertGroupNameLabel {
				continue
			}
			m.Labels = append(m.Labels, l)
		}

		a, err := ar.newAlert(m, time.Unix(int64(m.Value), 0), qFn)
		if err != nil {
			return fmt.Errorf("failed to create alert: %w", err)
		}
		a.ID = hash(m)
		a.State = notifier.StatePending
		ar.alerts[a.ID] = a
		logger.Infof("alert %q (%d) restored to state at %v", a.Name, a.ID, a.Start)
	}
	return nil
}