rules/recording.go

Rama main · réplica de lectura del repositorio original.

// Copyright The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

package rules

import (
	"context"
	"errors"
	"fmt"
	"log/slog"
	"net/url"
	"sync"
	"time"

	"go.uber.org/atomic"
	"go.yaml.in/yaml/v2"

	"github.com/prometheus/prometheus/model/labels"
	"github.com/prometheus/prometheus/model/metadata"
	"github.com/prometheus/prometheus/model/rulefmt"
	"github.com/prometheus/prometheus/promql"
	"github.com/prometheus/prometheus/promql/parser"
	"github.com/prometheus/prometheus/schema"
)

var _ Rule = (*RecordingRule)(nil)

// ErrDuplicateRecordingLabelSet is returned when a recording rule evaluation produces
// metrics with identical labelsets after applying rule labels.
var ErrDuplicateRecordingLabelSet = errors.New("vector contains metrics with the same labelset after applying rule labels")

// A RecordingRule records its vector expression into new timeseries.
type RecordingRule struct {
	name   string
	vector parser.Expr
	labels labels.Labels
	meta   metadata.Metadata
	// The health of the recording rule.
	health *atomic.String
	// Timestamp of last evaluation of the recording rule.
	evaluationTimestamp *atomic.Time
	// The last error seen by the recording rule.
	lastError *atomic.Error
	// Duration of how long it took to evaluate the recording rule.
	evaluationDuration *atomic.Duration

	dependenciesMutex sync.RWMutex
	dependentRules    []Rule
	dependencyRules   []Rule
}

// NewRecordingRule returns a new recording rule.
func NewRecordingRule(name string, vector parser.Expr, lset labels.Labels) *RecordingRule {
	return NewRecordingRuleWithMetadata(name, vector, lset, metadata.Metadata{})
}

// NewRecordingRuleWithMetadata returns a new recording rule with configured metric metadata.
func NewRecordingRuleWithMetadata(name string, vector parser.Expr, lset labels.Labels, meta metadata.Metadata) *RecordingRule {
	return &RecordingRule{
		name:                name,
		vector:              vector,
		labels:              lset,
		meta:                meta,
		health:              atomic.NewString(string(HealthUnknown)),
		evaluationTimestamp: atomic.NewTime(time.Time{}),
		evaluationDuration:  atomic.NewDuration(0),
		lastError:           atomic.NewError(nil),
	}
}

// Name returns the rule name.
func (rule *RecordingRule) Name() string {
	return rule.name
}

// Query returns the rule query expression.
func (rule *RecordingRule) Query() parser.Expr {
	return rule.vector
}

// Labels returns the rule labels.
func (rule *RecordingRule) Labels() labels.Labels {
	return rule.labels
}

// Metadata returns the configured metric metadata for the recording rule.
func (rule *RecordingRule) Metadata() metadata.Metadata {
	return rule.meta
}

// Eval evaluates the rule and then overrides the metric names and labels accordingly.
func (rule *RecordingRule) Eval(ctx context.Context, queryOffset time.Duration, ts time.Time, query QueryFunc, _ *url.URL, limit int) (promql.Vector, error) {
	ctx = NewOriginContext(ctx, NewRuleDetail(rule))
	vector, err := query(ctx, rule.vector.String(), ts.Add(-queryOffset))
	if err != nil {
		return nil, err
	}

	// Override the metric name, apply rule labels, and strip reserved schema labels.
	lb := labels.NewBuilder(labels.EmptyLabels())

	for i := range vector {
		sample := &vector[i]

		lb.Reset(sample.Metric)
		rule.labels.Range(func(l labels.Label) {
			lb.Set(l.Name, l.Value)
		})
		// Strip any reserved __type__ and __unit__ labels and set __name__.
		// Group.Eval injects configured __type__ and __unit__ when type-and-unit-labels is enabled.
		schema.Metadata{Name: rule.name}.SetToLabels(lb)

		sample.Metric = lb.Labels()
	}

	// Check that the rule does not produce identical metrics after applying
	// labels.
	if vector.ContainsSameLabelset() {
		return nil, ErrDuplicateRecordingLabelSet
	}

	numSeries := len(vector)
	if limit > 0 && numSeries > limit {
		return nil, fmt.Errorf("exceeded limit of %d with %d series", limit, numSeries)
	}

	rule.SetHealth(HealthGood)
	rule.SetLastError(err)
	return vector, nil
}

// LogValue returns the rule's representation for logging.
func (rule *RecordingRule) LogValue() slog.Value {
	if rule == nil {
		return slog.AnyValue(nil)
	}
	return slog.StringValue(rule.String())
}

func (rule *RecordingRule) String() string {
	var meta *metadata.Metadata
	if rule.meta != (metadata.Metadata{}) {
		meta = &rule.meta
	}
	r := rulefmt.Rule{
		Record:   rule.name,
		Expr:     rule.vector.String(),
		Labels:   rule.labels.Map(),
		Metadata: meta,
	}

	byt, err := yaml.Marshal(r)
	if err != nil {
		return fmt.Sprintf("error marshaling recording rule: %q", err.Error())
	}

	return string(byt)
}

// SetEvaluationDuration updates evaluationDuration to the time in seconds it took to evaluate the rule on its last evaluation.
func (rule *RecordingRule) SetEvaluationDuration(dur time.Duration) {
	rule.evaluationDuration.Store(dur)
}

// SetLastError sets the current error seen by the recording rule.
func (rule *RecordingRule) SetLastError(err error) {
	rule.lastError.Store(err)
}

// LastError returns the last error seen by the recording rule.
func (rule *RecordingRule) LastError() error {
	return rule.lastError.Load()
}

// SetHealth sets the current health of the recording rule.
func (rule *RecordingRule) SetHealth(health RuleHealth) {
	rule.health.Store(string(health))
}

// Health returns the current health of the recording rule.
func (rule *RecordingRule) Health() RuleHealth {
	return RuleHealth(rule.health.Load())
}

// GetEvaluationDuration returns the time in seconds it took to evaluate the recording rule.
func (rule *RecordingRule) GetEvaluationDuration() time.Duration {
	return rule.evaluationDuration.Load()
}

// SetEvaluationTimestamp updates evaluationTimestamp to the timestamp of when the rule was last evaluated.
func (rule *RecordingRule) SetEvaluationTimestamp(ts time.Time) {
	rule.evaluationTimestamp.Store(ts)
}

// GetEvaluationTimestamp returns the time the evaluation took place.
func (rule *RecordingRule) GetEvaluationTimestamp() time.Time {
	return rule.evaluationTimestamp.Load()
}

func (rule *RecordingRule) SetDependentRules(dependents []Rule) {
	rule.dependenciesMutex.Lock()
	defer rule.dependenciesMutex.Unlock()

	rule.dependentRules = make([]Rule, len(dependents))
	copy(rule.dependentRules, dependents)
}

func (rule *RecordingRule) NoDependentRules() bool {
	rule.dependenciesMutex.RLock()
	defer rule.dependenciesMutex.RUnlock()

	if rule.dependentRules == nil {
		return false // We don't know if there are dependent rules.
	}

	return len(rule.dependentRules) == 0
}

func (rule *RecordingRule) DependentRules() []Rule {
	rule.dependenciesMutex.RLock()
	defer rule.dependenciesMutex.RUnlock()
	return rule.dependentRules
}

func (rule *RecordingRule) SetDependencyRules(dependencies []Rule) {
	rule.dependenciesMutex.Lock()
	defer rule.dependenciesMutex.Unlock()

	rule.dependencyRules = make([]Rule, len(dependencies))
	copy(rule.dependencyRules, dependencies)
}

func (rule *RecordingRule) NoDependencyRules() bool {
	rule.dependenciesMutex.RLock()
	defer rule.dependenciesMutex.RUnlock()

	if rule.dependencyRules == nil {
		return false // We don't know if there are dependency rules.
	}

	return len(rule.dependencyRules) == 0
}

func (rule *RecordingRule) DependencyRules() []Rule {
	rule.dependenciesMutex.RLock()
	defer rule.dependenciesMutex.RUnlock()
	return rule.dependencyRules
}