prometheus/rules/rules_test.go

224 lines
6.9 KiB
Go

// Copyright 2013 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 (
"fmt"
"strings"
"testing"
"time"
clientmodel "github.com/prometheus/client_golang/model"
"github.com/prometheus/prometheus/promql"
"github.com/prometheus/prometheus/storage/local"
"github.com/prometheus/prometheus/storage/metric"
)
var (
testSampleInterval = time.Duration(5) * time.Minute
testStartTime = clientmodel.Timestamp(0)
)
func getTestValueStream(startVal clientmodel.SampleValue, endVal clientmodel.SampleValue, stepVal clientmodel.SampleValue, startTime clientmodel.Timestamp) (resultValues metric.Values) {
currentTime := startTime
for currentVal := startVal; currentVal <= endVal; currentVal += stepVal {
sample := metric.SamplePair{
Value: currentVal,
Timestamp: currentTime,
}
resultValues = append(resultValues, sample)
currentTime = currentTime.Add(testSampleInterval)
}
return resultValues
}
func getTestVectorFromTestMatrix(matrix promql.Matrix) promql.Vector {
vector := promql.Vector{}
for _, sampleStream := range matrix {
lastSample := sampleStream.Values[len(sampleStream.Values)-1]
vector = append(vector, &promql.Sample{
Metric: sampleStream.Metric,
Value: lastSample.Value,
Timestamp: lastSample.Timestamp,
})
}
return vector
}
func storeMatrix(storage local.Storage, matrix promql.Matrix) {
pendingSamples := clientmodel.Samples{}
for _, sampleStream := range matrix {
for _, sample := range sampleStream.Values {
pendingSamples = append(pendingSamples, &clientmodel.Sample{
Metric: sampleStream.Metric.Metric,
Value: sample.Value,
Timestamp: sample.Timestamp,
})
}
}
for _, s := range pendingSamples {
storage.Append(s)
}
storage.WaitForIndexing()
}
func vectorComparisonString(expected []string, actual []string) string {
separator := "\n--------------\n"
return fmt.Sprintf("Expected:%v%v%v\nActual:%v%v%v ",
separator,
strings.Join(expected, "\n"),
separator,
separator,
strings.Join(actual, "\n"),
separator)
}
func annotateWithTime(lines []string, timestamp clientmodel.Timestamp) []string {
annotatedLines := []string{}
for _, line := range lines {
annotatedLines = append(annotatedLines, fmt.Sprintf(line, timestamp))
}
return annotatedLines
}
var testMatrix = promql.Matrix{
{
Metric: clientmodel.COWMetric{
Metric: clientmodel.Metric{
clientmodel.MetricNameLabel: "http_requests",
clientmodel.JobLabel: "api-server",
"instance": "0",
"group": "canary",
},
},
Values: getTestValueStream(0, 300, 30, testStartTime),
},
{
Metric: clientmodel.COWMetric{
Metric: clientmodel.Metric{
clientmodel.MetricNameLabel: "http_requests",
clientmodel.JobLabel: "api-server",
"instance": "1",
"group": "canary",
},
},
Values: getTestValueStream(0, 400, 40, testStartTime),
},
{
Metric: clientmodel.COWMetric{
Metric: clientmodel.Metric{
clientmodel.MetricNameLabel: "http_requests",
clientmodel.JobLabel: "app-server",
"instance": "0",
"group": "canary",
},
},
Values: getTestValueStream(0, 700, 70, testStartTime),
},
{
Metric: clientmodel.COWMetric{
Metric: clientmodel.Metric{
clientmodel.MetricNameLabel: "http_requests",
clientmodel.JobLabel: "app-server",
"instance": "1",
"group": "canary",
},
},
Values: getTestValueStream(0, 800, 80, testStartTime),
},
}
func TestAlertingRule(t *testing.T) {
// Labels in expected output need to be alphabetically sorted.
var evalOutputs = [][]string{
{
`ALERTS{alertname="HttpRequestRateLow", alertstate="pending", group="canary", instance="0", job="app-server", severity="critical"} => 1 @[%v]`,
`ALERTS{alertname="HttpRequestRateLow", alertstate="pending", group="canary", instance="1", job="app-server", severity="critical"} => 1 @[%v]`,
},
{
`ALERTS{alertname="HttpRequestRateLow", alertstate="pending", group="canary", instance="0", job="app-server", severity="critical"} => 0 @[%v]`,
`ALERTS{alertname="HttpRequestRateLow", alertstate="firing", group="canary", instance="0", job="app-server", severity="critical"} => 1 @[%v]`,
`ALERTS{alertname="HttpRequestRateLow", alertstate="pending", group="canary", instance="1", job="app-server", severity="critical"} => 0 @[%v]`,
`ALERTS{alertname="HttpRequestRateLow", alertstate="firing", group="canary", instance="1", job="app-server", severity="critical"} => 1 @[%v]`,
},
{
`ALERTS{alertname="HttpRequestRateLow", alertstate="firing", group="canary", instance="1", job="app-server", severity="critical"} => 0 @[%v]`,
`ALERTS{alertname="HttpRequestRateLow", alertstate="firing", group="canary", instance="0", job="app-server", severity="critical"} => 0 @[%v]`,
},
{
/* empty */
},
{
/* empty */
},
}
storage, closer := local.NewTestStorage(t, 1)
defer closer.Close()
storeMatrix(storage, testMatrix)
engine := promql.NewEngine(storage)
defer engine.Stop()
expr, err := promql.ParseExpr("test", `http_requests{group="canary", job="app-server"} < 100`)
if err != nil {
t.Fatalf("Unable to parse alert expression: %s", err)
}
alertLabels := clientmodel.LabelSet{
"severity": "critical",
}
rule := NewAlertingRule("HttpRequestRateLow", expr, time.Minute, alertLabels, "summary", "description")
for i, expectedLines := range evalOutputs {
evalTime := testStartTime.Add(testSampleInterval * time.Duration(i))
res, err := rule.Eval(evalTime, engine)
if err != nil {
t.Fatalf("Error during alerting rule evaluation: %s", err)
}
actualLines := strings.Split(res.String(), "\n")
expectedLines := annotateWithTime(expectedLines, evalTime)
if actualLines[0] == "" {
actualLines = []string{}
}
failed := false
if len(actualLines) != len(expectedLines) {
t.Errorf("%d. Number of samples in expected and actual output don't match (%d vs. %d)", i, len(expectedLines), len(actualLines))
failed = true
}
for j, expectedSample := range expectedLines {
found := false
for _, actualSample := range actualLines {
if actualSample == expectedSample {
found = true
}
}
if !found {
t.Errorf("%d.%d. Couldn't find expected sample in output: '%v'", i, j, expectedSample)
failed = true
}
}
if failed {
t.Fatalf("%d. Expected and actual outputs don't match:\n%v", i, vectorComparisonString(expectedLines, actualLines))
}
}
}