2013-04-24 02:51:40 -07:00
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// Copyright 2013 Prometheus Team
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package rules
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import (
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"github.com/prometheus/prometheus/model"
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"github.com/prometheus/prometheus/rules/ast"
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"github.com/prometheus/prometheus/utility"
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"time"
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)
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// States that active alerts can be in.
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type alertState int
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func (s alertState) String() (state string) {
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switch s {
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case PENDING:
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state = "pending"
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case FIRING:
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state = "firing"
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}
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return
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}
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const (
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PENDING alertState = iota
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FIRING
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)
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// alert is used to track active (pending/firing) alerts over time.
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type alert struct {
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// The name of the alert.
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name string
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// The vector element labelset triggering this alert.
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metric model.Metric
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// The state of the alert (PENDING or FIRING).
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state alertState
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// The time when the alert first transitioned into PENDING state.
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activeSince time.Time
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}
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// sample returns a Sample suitable for recording the alert.
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func (a alert) sample(timestamp time.Time, value model.SampleValue) model.Sample {
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recordedMetric := model.Metric{}
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for label, value := range a.metric {
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recordedMetric[label] = value
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}
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recordedMetric[model.MetricNameLabel] = model.AlertMetricName
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recordedMetric[model.AlertNameLabel] = model.LabelValue(a.name)
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recordedMetric[model.AlertStateLabel] = model.LabelValue(a.state.String())
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return model.Sample{
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Metric: recordedMetric,
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Value: value,
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Timestamp: timestamp,
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}
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}
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// An alerting rule generates alerts from its vector expression.
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type AlertingRule struct {
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// The name of the alert.
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name string
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// The vector expression from which to generate alerts.
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vector ast.VectorNode
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// The duration for which a labelset needs to persist in the expression
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// output vector before an alert transitions from PENDING to FIRING state.
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holdDuration time.Duration
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// Extra labels to attach to the resulting alert sample vectors.
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labels model.LabelSet
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// A map of alerts which are currently active (PENDING or FIRING), keyed by
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// the fingerprint of the labelset they correspond to.
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activeAlerts map[model.Fingerprint]*alert
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}
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func (rule AlertingRule) Name() string { return rule.name }
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func (rule AlertingRule) EvalRaw(timestamp time.Time) (vector ast.Vector, err error) {
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return ast.EvalVectorInstant(rule.vector, timestamp)
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}
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func (rule AlertingRule) Eval(timestamp time.Time) (vector ast.Vector, err error) {
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// Get the raw value of the rule expression.
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exprResult, err := rule.EvalRaw(timestamp)
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if err != nil {
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return
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}
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// Create pending alerts for any new vector elements in the alert expression.
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resultFingerprints := utility.Set{}
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for _, sample := range exprResult {
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fp := model.NewFingerprintFromMetric(sample.Metric)
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resultFingerprints.Add(fp)
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if _, ok := rule.activeAlerts[fp]; !ok {
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rule.activeAlerts[fp] = &alert{
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name: rule.name,
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metric: sample.Metric,
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state: PENDING,
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activeSince: timestamp,
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}
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}
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}
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// Check if any pending alerts should be removed or fire now. Write out alert timeseries.
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for fp, activeAlert := range rule.activeAlerts {
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if !resultFingerprints.Has(fp) {
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vector = append(vector, activeAlert.sample(timestamp, 0))
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delete(rule.activeAlerts, fp)
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continue
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}
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if activeAlert.state == PENDING && timestamp.Sub(activeAlert.activeSince) >= rule.holdDuration {
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vector = append(vector, activeAlert.sample(timestamp, 0))
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activeAlert.state = FIRING
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}
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vector = append(vector, activeAlert.sample(timestamp, 1))
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}
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return
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}
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// Construct a new AlertingRule.
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func NewAlertingRule(name string, vector ast.VectorNode, holdDuration time.Duration, labels model.LabelSet) *AlertingRule {
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return &AlertingRule{
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name: name,
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vector: vector,
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holdDuration: holdDuration,
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labels: labels,
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activeAlerts: map[model.Fingerprint]*alert{},
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}
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}
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