SigNoz/signoz
1
0
Fork 0
mirror of https://github.com/SigNoz/signoz.git synced 2026-02-03 08:33:26 +00:00
Code Issues Actions 6 Packages Projects Releases Wiki Activity
Files
c79373314aabb53b0274b010b7b0cb14f72c8a08
signoz/pkg/query-service/rules/prom_rule_test.go
Jatinderjit Singh c79373314a fix: add missing data for promql and anomaly rules (#10097)
2026-02-03 11:48:16 +05:30

1769 lines
48 KiB
Go
Raw Blame History

package rules
import (
"context"
"strings"
"testing"
"time"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/require"
pql "github.com/prometheus/prometheus/promql"
cmock "github.com/srikanthccv/ClickHouse-go-mock"
"github.com/SigNoz/signoz/pkg/instrumentation/instrumentationtest"
"github.com/SigNoz/signoz/pkg/prometheus"
"github.com/SigNoz/signoz/pkg/prometheus/prometheustest"
"github.com/SigNoz/signoz/pkg/query-service/app/clickhouseReader"
v3 "github.com/SigNoz/signoz/pkg/query-service/model/v3"
qslabels "github.com/SigNoz/signoz/pkg/query-service/utils/labels"
"github.com/SigNoz/signoz/pkg/telemetrystore"
"github.com/SigNoz/signoz/pkg/telemetrystore/telemetrystoretest"
"github.com/SigNoz/signoz/pkg/types/ruletypes"
"github.com/SigNoz/signoz/pkg/valuer"
)
func getVectorValues(vectors []ruletypes.Sample) []float64 {
if len(vectors) == 0 {
return []float64{} // Return empty slice instead of nil
}
var values []float64
for _, v := range vectors {
values = append(values, v.V)
}
return values
}
func TestPromRuleEval(t *testing.T) {
postableRule := ruletypes.PostableRule{
AlertName: "Test Rule",
AlertType: ruletypes.AlertTypeMetric,
RuleType: ruletypes.RuleTypeProm,
Evaluation: &ruletypes.EvaluationEnvelope{Kind: ruletypes.RollingEvaluation, Spec: ruletypes.RollingWindow{
EvalWindow: ruletypes.Duration(5 * time.Minute),
Frequency: ruletypes.Duration(1 * time.Minute),
}},
RuleCondition: &ruletypes.RuleCondition{
CompositeQuery: &v3.CompositeQuery{
QueryType: v3.QueryTypePromQL,
PromQueries: map[string]*v3.PromQuery{
"A": {
Query: "dummy_query", // This is not used in the test
},
},
},
},
}
cases := []struct {
values pql.Series
expectAlert bool
compareOp string
matchType string
target float64
expectedAlertSample v3.Point
expectedVectorValues []float64 // Expected values in result vector
}{
// Test cases for Equals Always
{
values: pql.Series{
Floats: []pql.FPoint{
{F: 0.0},
{F: 0.0},
{F: 0.0},
{F: 0.0},
{F: 0.0},
},
},
expectAlert: true,
compareOp: "3", // Equals
matchType: "2", // Always
target: 0.0,
expectedAlertSample: v3.Point{Value: 0.0},
expectedVectorValues: []float64{0.0},
},
{
values: pql.Series{
Floats: []pql.FPoint{
{F: 0.0},
{F: 0.0},
{F: 0.0},
{F: 0.0},
{F: 1.0},
},
},
expectAlert: false,
compareOp: "3", // Equals
matchType: "2", // Always
target: 0.0,
expectedVectorValues: []float64{},
},
{
values: pql.Series{
Floats: []pql.FPoint{
{F: 0.0},
{F: 1.0},
{F: 0.0},
{F: 1.0},
{F: 1.0},
},
},
expectAlert: false,
compareOp: "3", // Equals
matchType: "2", // Always
target: 0.0,
expectedVectorValues: []float64{},
},
{
values: pql.Series{
Floats: []pql.FPoint{
{F: 1.0},
{F: 1.0},
{F: 1.0},
{F: 1.0},
{F: 1.0},
},
},
expectAlert: false,
compareOp: "3", // Equals
matchType: "2", // Always
target: 0.0,
},
// Test cases for Equals Once
{
values: pql.Series{
Floats: []pql.FPoint{
{F: 0.0},
{F: 0.0},
{F: 0.0},
{F: 0.0},
{F: 0.0},
},
},
expectAlert: true,
compareOp: "3", // Equals
matchType: "1", // Once
target: 0.0,
expectedAlertSample: v3.Point{Value: 0.0},
expectedVectorValues: []float64{0.0},
},
{
values: pql.Series{
Floats: []pql.FPoint{
{F: 0.0},
{F: 0.0},
{F: 0.0},
{F: 0.0},
{F: 1.0},
},
},
expectAlert: true,
compareOp: "3", // Equals
matchType: "1", // Once
target: 0.0,
expectedAlertSample: v3.Point{Value: 0.0},
},
{
values: pql.Series{
Floats: []pql.FPoint{
{F: 0.0},
{F: 1.0},
{F: 0.0},
{F: 1.0},
{F: 1.0},
},
},
expectAlert: true,
compareOp: "3", // Equals
matchType: "1", // Once
target: 0.0,
expectedAlertSample: v3.Point{Value: 0.0},
},
{
values: pql.Series{
Floats: []pql.FPoint{
{F: 1.0},
{F: 1.0},
{F: 1.0},
{F: 1.0},
{F: 1.0},
},
},
expectAlert: false,
compareOp: "3", // Equals
matchType: "1", // Once
target: 0.0,
expectedVectorValues: []float64{},
},
// Test cases for Greater Than Always
{
values: pql.Series{
Floats: []pql.FPoint{
{F: 10.0},
{F: 4.0},
{F: 6.0},
{F: 8.0},
{F: 2.0},
},
},
expectAlert: true,
compareOp: "1", // Greater Than
matchType: "2", // Always
target: 1.5,
expectedAlertSample: v3.Point{Value: 2.0},
expectedVectorValues: []float64{2.0},
},
{
values: pql.Series{
Floats: []pql.FPoint{
{F: 11.0},
{F: 4.0},
{F: 3.0},
{F: 7.0},
{F: 12.0},
},
},
expectAlert: true,
compareOp: "1", // Above
matchType: "2", // Always
target: 2.0,
expectedAlertSample: v3.Point{Value: 3.0},
},
{
values: pql.Series{
Floats: []pql.FPoint{
{F: 11.0},
{F: 4.0},
{F: 3.0},
{F: 7.0},
{F: 12.0},
},
},
expectAlert: true,
compareOp: "2", // Below
matchType: "2", // Always
target: 13.0,
expectedAlertSample: v3.Point{Value: 12.0},
},
{
values: pql.Series{
Floats: []pql.FPoint{
{F: 10.0},
{F: 4.0},
{F: 6.0},
{F: 8.0},
{F: 2.0},
},
},
expectAlert: false,
compareOp: "1", // Greater Than
matchType: "2", // Always
target: 4.5,
},
// Test cases for Greater Than Once
{
values: pql.Series{
Floats: []pql.FPoint{
{F: 10.0},
{F: 4.0},
{F: 6.0},
{F: 8.0},
{F: 2.0},
},
},
expectAlert: true,
compareOp: "1", // Greater Than
matchType: "1", // Once
target: 4.5,
expectedAlertSample: v3.Point{Value: 10.0},
expectedVectorValues: []float64{10.0},
},
{
values: pql.Series{
Floats: []pql.FPoint{
{F: 4.0},
{F: 4.0},
{F: 4.0},
{F: 4.0},
{F: 4.0},
},
},
expectAlert: false,
compareOp: "1", // Greater Than
matchType: "1", // Once
target: 4.5,
},
// Test cases for Not Equals Always
{
values: pql.Series{
Floats: []pql.FPoint{
{F: 0.0},
{F: 1.0},
{F: 0.0},
{F: 1.0},
{F: 0.0},
},
},
expectAlert: false,
compareOp: "4", // Not Equals
matchType: "2", // Always
target: 0.0,
},
{
values: pql.Series{
Floats: []pql.FPoint{
{F: 1.0},
{F: 1.0},
{F: 1.0},
{F: 1.0},
{F: 0.0},
},
},
expectAlert: false,
compareOp: "4", // Not Equals
matchType: "2", // Always
target: 0.0,
},
{
values: pql.Series{
Floats: []pql.FPoint{
{F: 1.0},
{F: 1.0},
{F: 1.0},
{F: 1.0},
{F: 1.0},
},
},
expectAlert: true,
compareOp: "4", // Not Equals
matchType: "2", // Always
target: 0.0,
expectedAlertSample: v3.Point{Value: 1.0},
},
{
values: pql.Series{
Floats: []pql.FPoint{
{F: 1.0},
{F: 0.0},
{F: 1.0},
{F: 1.0},
{F: 1.0},
},
},
expectAlert: false,
compareOp: "4", // Not Equals
matchType: "2", // Always
target: 0.0,
},
// Test cases for Not Equals Once
{
values: pql.Series{
Floats: []pql.FPoint{
{F: 0.0},
{F: 1.0},
{F: 0.0},
{F: 1.0},
{F: 0.0},
},
},
expectAlert: true,
compareOp: "4", // Not Equals
matchType: "1", // Once
target: 0.0,
expectedAlertSample: v3.Point{Value: 1.0},
},
{
values: pql.Series{
Floats: []pql.FPoint{
{F: 0.0},
{F: 0.0},
{F: 0.0},
{F: 0.0},
{F: 0.0},
},
},
expectAlert: false,
compareOp: "4", // Not Equals
matchType: "1", // Once
target: 0.0,
},
{
values: pql.Series{
Floats: []pql.FPoint{
{F: 0.0},
{F: 0.0},
{F: 1.0},
{F: 0.0},
{F: 1.0},
},
},
expectAlert: true,
compareOp: "4", // Not Equals
matchType: "1", // Once
target: 0.0,
expectedAlertSample: v3.Point{Value: 1.0},
},
{
values: pql.Series{
Floats: []pql.FPoint{
{F: 1.0},
{F: 1.0},
{F: 1.0},
{F: 1.0},
{F: 1.0},
},
},
expectAlert: true,
compareOp: "4", // Not Equals
matchType: "1", // Once
target: 0.0,
expectedAlertSample: v3.Point{Value: 1.0},
},
// Test cases for Less Than Always
{
values: pql.Series{
Floats: []pql.FPoint{
{F: 1.5},
{F: 1.5},
{F: 1.5},
{F: 1.5},
{F: 1.5},
},
},
expectAlert: true,
compareOp: "2", // Less Than
matchType: "2", // Always
target: 4,
expectedAlertSample: v3.Point{Value: 1.5},
},
{
values: pql.Series{
Floats: []pql.FPoint{
{F: 4.5},
{F: 4.5},
{F: 4.5},
{F: 4.5},
{F: 4.5},
},
},
expectAlert: false,
compareOp: "2", // Less Than
matchType: "2", // Always
target: 4,
},
// Test cases for Less Than Once
{
values: pql.Series{
Floats: []pql.FPoint{
{F: 4.5},
{F: 4.5},
{F: 4.5},
{F: 4.5},
{F: 2.5},
},
},
expectAlert: true,
compareOp: "2", // Less Than
matchType: "1", // Once
target: 4,
expectedAlertSample: v3.Point{Value: 2.5},
},
{
values: pql.Series{
Floats: []pql.FPoint{
{F: 4.5},
{F: 4.5},
{F: 4.5},
{F: 4.5},
{F: 4.5},
},
},
expectAlert: false,
compareOp: "2", // Less Than
matchType: "1", // Once
target: 4,
},
// Test cases for OnAverage
{
values: pql.Series{
Floats: []pql.FPoint{
{F: 10.0},
{F: 4.0},
{F: 6.0},
{F: 8.0},
{F: 2.0},
},
},
expectAlert: true,
compareOp: "3", // Equals
matchType: "3", // OnAverage
target: 6.0,
expectedAlertSample: v3.Point{Value: 6.0},
},
{
values: pql.Series{
Floats: []pql.FPoint{
{F: 10.0},
{F: 4.0},
{F: 6.0},
{F: 8.0},
{F: 2.0},
},
},
expectAlert: false,
compareOp: "3", // Equals
matchType: "3", // OnAverage
target: 4.5,
},
{
values: pql.Series{
Floats: []pql.FPoint{
{F: 10.0},
{F: 4.0},
{F: 6.0},
{F: 8.0},
{F: 2.0},
},
},
expectAlert: true,
compareOp: "4", // Not Equals
matchType: "3", // OnAverage
target: 4.5,
expectedAlertSample: v3.Point{Value: 6.0},
},
{
values: pql.Series{
Floats: []pql.FPoint{
{F: 10.0},
{F: 4.0},
{F: 6.0},
{F: 8.0},
{F: 2.0},
},
},
expectAlert: false,
compareOp: "4", // Not Equals
matchType: "3", // OnAverage
target: 6.0,
},
{
values: pql.Series{
Floats: []pql.FPoint{
{F: 10.0},
{F: 4.0},
{F: 6.0},
{F: 8.0},
{F: 2.0},
},
},
expectAlert: true,
compareOp: "1", // Greater Than
matchType: "3", // OnAverage
target: 4.5,
expectedAlertSample: v3.Point{Value: 6.0},
},
{
values: pql.Series{
Floats: []pql.FPoint{
{F: 10.0},
{F: 4.0},
{F: 6.0},
{F: 8.0},
{F: 2.0},
},
},
expectAlert: true,
compareOp: "2", // Less Than
matchType: "3", // OnAverage
target: 12.0,
expectedAlertSample: v3.Point{Value: 6.0},
},
// Test cases for InTotal
{
values: pql.Series{
Floats: []pql.FPoint{
{F: 10.0},
{F: 4.0},
{F: 6.0},
{F: 8.0},
{F: 2.0},
},
},
expectAlert: true,
compareOp: "3", // Equals
matchType: "4", // InTotal
target: 30.0,
expectedAlertSample: v3.Point{Value: 30.0},
},
{
values: pql.Series{
Floats: []pql.FPoint{
{F: 10.0},
{F: 4.0},
{F: 6.0},
{F: 8.0},
{F: 2.0},
},
},
expectAlert: false,
compareOp: "3", // Equals
matchType: "4", // InTotal
target: 20.0,
},
{
values: pql.Series{
Floats: []pql.FPoint{
{F: 10.0},
},
},
expectAlert: true,
compareOp: "4", // Not Equals
matchType: "4", // InTotal
target: 9.0,
expectedAlertSample: v3.Point{Value: 10.0},
},
{
values: pql.Series{
Floats: []pql.FPoint{
{F: 10.0},
},
},
expectAlert: false,
compareOp: "4", // Not Equals
matchType: "4", // InTotal
target: 10.0,
},
{
values: pql.Series{
Floats: []pql.FPoint{
{F: 10.0},
{F: 10.0},
},
},
expectAlert: true,
compareOp: "1", // Greater Than
matchType: "4", // InTotal
target: 10.0,
expectedAlertSample: v3.Point{Value: 20.0},
},
{
values: pql.Series{
Floats: []pql.FPoint{
{F: 10.0},
{F: 10.0},
},
},
expectAlert: false,
compareOp: "1", // Greater Than
matchType: "4", // InTotal
target: 20.0,
},
{
values: pql.Series{
Floats: []pql.FPoint{
{F: 10.0},
{F: 10.0},
},
},
expectAlert: true,
compareOp: "2", // Less Than
matchType: "4", // InTotal
target: 30.0,
expectedAlertSample: v3.Point{Value: 20.0},
},
{
values: pql.Series{
Floats: []pql.FPoint{
{F: 10.0},
{F: 10.0},
},
},
expectAlert: false,
compareOp: "2", // Less Than
matchType: "4", // InTotal
target: 20.0,
},
}
logger := instrumentationtest.New().Logger()
for idx, c := range cases {
postableRule.RuleCondition.CompareOp = ruletypes.CompareOp(c.compareOp)
postableRule.RuleCondition.MatchType = ruletypes.MatchType(c.matchType)
postableRule.RuleCondition.Target = &c.target
postableRule.RuleCondition.Thresholds = &ruletypes.RuleThresholdData{
Kind: ruletypes.BasicThresholdKind,
Spec: ruletypes.BasicRuleThresholds{
{
TargetValue: &c.target,
MatchType: ruletypes.MatchType(c.matchType),
CompareOp: ruletypes.CompareOp(c.compareOp),
},
},
}
rule, err := NewPromRule("69", valuer.GenerateUUID(), &postableRule, logger, nil, nil)
if err != nil {
assert.NoError(t, err)
}
resultVectors, err := rule.Threshold.Eval(toCommonSeries(c.values), rule.Unit(), ruletypes.EvalData{})
assert.NoError(t, err)
// Compare full result vector with expected vector
actualValues := getVectorValues(resultVectors)
if c.expectedVectorValues != nil {
// If expected vector values are specified, compare them exactly
assert.Equal(t, c.expectedVectorValues, actualValues, "Result vector values don't match expected for case %d", idx)
} else {
// Fallback to the old logic for cases without expectedVectorValues
if c.expectAlert {
assert.NotEmpty(t, resultVectors, "Expected alert but got no result vectors for case %d", idx)
// Verify at least one of the result vectors matches the expected alert sample
if len(resultVectors) > 0 {
found := false
for _, sample := range resultVectors {
if sample.V == c.expectedAlertSample.Value {
found = true
break
}
}
assert.True(t, found, "Expected alert sample value %.2f not found in result vectors for case %d. Got values: %v", c.expectedAlertSample.Value, idx, actualValues)
}
} else {
assert.Empty(t, resultVectors, "Expected no alert but got result vectors for case %d", idx)
}
}
}
}
func TestPromRuleUnitCombinations(t *testing.T) {
// fixed base time for deterministic tests
baseTime := time.Unix(1700000000, 0)
evalTime := baseTime.Add(5 * time.Minute)
postableRule := ruletypes.PostableRule{
AlertName: "Units test",
AlertType: ruletypes.AlertTypeMetric,
RuleType: ruletypes.RuleTypeProm,
Evaluation: &ruletypes.EvaluationEnvelope{Kind: ruletypes.RollingEvaluation, Spec: ruletypes.RollingWindow{
EvalWindow: ruletypes.Duration(5 * time.Minute),
Frequency: ruletypes.Duration(1 * time.Minute),
}},
RuleCondition: &ruletypes.RuleCondition{
CompositeQuery: &v3.CompositeQuery{
QueryType: v3.QueryTypePromQL,
PromQueries: map[string]*v3.PromQuery{
"A": {
Query: "test_metric",
},
},
},
},
}
// time_series_v4 cols of interest
fingerprintCols := []cmock.ColumnType{
{Name: "fingerprint", Type: "UInt64"},
{Name: "any(labels)", Type: "String"},
}
// samples_v4 columns
samplesCols := []cmock.ColumnType{
{Name: "metric_name", Type: "String"},
{Name: "fingerprint", Type: "UInt64"},
{Name: "unix_milli", Type: "Int64"},
{Name: "value", Type: "Float64"},
{Name: "flags", Type: "UInt32"},
}
// see Timestamps on base_rule
evalWindowMs := int64(5 * 60 * 1000) // 5 minutes in ms
evalTimeMs := evalTime.UnixMilli()
queryStart := ((evalTimeMs-2*evalWindowMs)/60000)*60000 + 1 // truncate to minute + 1ms
queryEnd := (evalTimeMs / 60000) * 60000 // truncate to minute
cases := []struct {
targetUnit string
yAxisUnit string
values []struct {
timestamp time.Time
value float64
}
expectAlerts int
compareOp string
matchType string
target float64
summaryAny []string
}{
{
targetUnit: "s",
yAxisUnit: "ns",
values: []struct {
timestamp time.Time
value float64
}{
{baseTime, 572588400}, // 0.57 seconds
{baseTime.Add(1 * time.Minute), 572386400}, // 0.57 seconds
{baseTime.Add(2 * time.Minute), 300947400}, // 0.3 seconds
{baseTime.Add(3 * time.Minute), 299316000}, // 0.3 seconds
{baseTime.Add(4 * time.Minute), 66640400.00000001}, // 0.06 seconds
},
expectAlerts: 0,
compareOp: "1", // Above
matchType: "1", // Once
target: 1, // 1 second
},
{
targetUnit: "ms",
yAxisUnit: "ns",
values: []struct {
timestamp time.Time
value float64
}{
{baseTime, 572588400}, // 572.58 ms
{baseTime.Add(1 * time.Minute), 572386400}, // 572.38 ms
{baseTime.Add(2 * time.Minute), 300947400}, // 300.94 ms
{baseTime.Add(3 * time.Minute), 299316000}, // 299.31 ms
{baseTime.Add(4 * time.Minute), 66640400.00000001}, // 66.64 ms
},
expectAlerts: 1,
compareOp: "1", // Above
matchType: "1", // Once
target: 200, // 200 ms
summaryAny: []string{
"observed metric value is 299 ms",
"the observed metric value is 573 ms",
"the observed metric value is 572 ms",
"the observed metric value is 301 ms",
},
},
{
targetUnit: "decgbytes",
yAxisUnit: "bytes",
values: []struct {
timestamp time.Time
value float64
}{
{baseTime, 2863284053}, // 2.86 GB
{baseTime.Add(1 * time.Minute), 2863388842}, // 2.86 GB
{baseTime.Add(2 * time.Minute), 300947400}, // 0.3 GB
{baseTime.Add(3 * time.Minute), 299316000}, // 0.3 GB
{baseTime.Add(4 * time.Minute), 66640400.00000001}, // 66.64 MB
},
expectAlerts: 0,
compareOp: "1", // Above
matchType: "1", // Once
target: 200, // 200 GB
},
{
targetUnit: "decgbytes",
yAxisUnit: "By",
values: []struct {
timestamp time.Time
value float64
}{
{baseTime, 2863284053}, // 2.86 GB
{baseTime.Add(1 * time.Minute), 2863388842}, // 2.86 GB
{baseTime.Add(2 * time.Minute), 300947400}, // 0.3 GB
{baseTime.Add(3 * time.Minute), 299316000}, // 0.3 GB
{baseTime.Add(4 * time.Minute), 66640400.00000001}, // 66.64 MB
},
expectAlerts: 0,
compareOp: "1", // Above
matchType: "1", // Once
target: 200, // 200 GB
},
{
targetUnit: "h",
yAxisUnit: "min",
values: []struct {
timestamp time.Time
value float64
}{
{baseTime, 55}, // 55 minutes
{baseTime.Add(1 * time.Minute), 57}, // 57 minutes
{baseTime.Add(2 * time.Minute), 30}, // 30 minutes
{baseTime.Add(3 * time.Minute), 29}, // 29 minutes
},
expectAlerts: 0,
compareOp: "1", // Above
matchType: "1", // Once
target: 1, // 1 hour
},
}
logger := instrumentationtest.New().Logger()
for idx, c := range cases {
telemetryStore := telemetrystoretest.New(telemetrystore.Config{}, &queryMatcherAny{})
// single fingerprint with labels JSON
fingerprint := uint64(12345)
labelsJSON := `{"__name__":"test_metric"}`
fingerprintData := [][]interface{}{
{fingerprint, labelsJSON},
}
fingerprintRows := cmock.NewRows(fingerprintCols, fingerprintData)
// create samples data from test case values
samplesData := make([][]interface{}, len(c.values))
for i, v := range c.values {
samplesData[i] = []interface{}{
"test_metric",
fingerprint,
v.timestamp.UnixMilli(),
v.value,
uint32(0), // flags - 0 means normal value, 1 means stale, we are not doing staleness tests
}
}
samplesRows := cmock.NewRows(samplesCols, samplesData)
// args: $1=metric_name, $2=label_name, $3=label_value
telemetryStore.Mock().
ExpectQuery("SELECT fingerprint, any").
WithArgs("test_metric", "__name__", "test_metric").
WillReturnRows(fingerprintRows)
// args: $1=metric_name (outer), $2=metric_name (subquery), $3=label_name, $4=label_value, $5=start, $6=end
telemetryStore.Mock().
ExpectQuery("SELECT metric_name, fingerprint, unix_milli").
WithArgs(
"test_metric",
"test_metric",
"__name__",
"test_metric",
queryStart,
queryEnd,
).
WillReturnRows(samplesRows)
promProvider := prometheustest.New(context.Background(), instrumentationtest.New().ToProviderSettings(), prometheus.Config{}, telemetryStore)
postableRule.RuleCondition.CompareOp = ruletypes.CompareOp(c.compareOp)
postableRule.RuleCondition.MatchType = ruletypes.MatchType(c.matchType)
postableRule.RuleCondition.Target = &c.target
postableRule.RuleCondition.CompositeQuery.Unit = c.yAxisUnit
postableRule.RuleCondition.TargetUnit = c.targetUnit
postableRule.RuleCondition.Thresholds = &ruletypes.RuleThresholdData{
Kind: ruletypes.BasicThresholdKind,
Spec: ruletypes.BasicRuleThresholds{
{
Name: postableRule.AlertName,
TargetValue: &c.target,
TargetUnit: c.targetUnit,
MatchType: ruletypes.MatchType(c.matchType),
CompareOp: ruletypes.CompareOp(c.compareOp),
},
},
}
postableRule.Annotations = map[string]string{
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
"summary": "The rule threshold is set to {{$threshold}}, and the observed metric value is {{$value}}",
}
options := clickhouseReader.NewOptions("", "", "archiveNamespace")
reader := clickhouseReader.NewReader(nil, telemetryStore, promProvider, "", time.Second, nil, nil, options)
rule, err := NewPromRule("69", valuer.GenerateUUID(), &postableRule, logger, reader, promProvider)
if err != nil {
assert.NoError(t, err)
promProvider.Close()
continue
}
alertsFound, err := rule.Eval(context.Background(), evalTime)
if err != nil {
assert.NoError(t, err)
promProvider.Close()
continue
}
assert.Equal(t, c.expectAlerts, alertsFound, "case %d", idx)
if c.expectAlerts != 0 {
foundCount := 0
for _, item := range rule.Active {
for _, summary := range c.summaryAny {
if strings.Contains(item.Annotations.Get("summary"), summary) {
foundCount++
break
}
}
}
assert.Equal(t, c.expectAlerts, foundCount, "case %d", idx)
}
promProvider.Close()
}
}
// TODO(abhishekhugetech): enable this
func _Enable_this_after_9146_issue_fix_is_merged_TestPromRuleNoData(t *testing.T) {
baseTime := time.Unix(1700000000, 0)
evalTime := baseTime.Add(5 * time.Minute)
postableRule := ruletypes.PostableRule{
AlertName: "No data test",
AlertType: ruletypes.AlertTypeMetric,
RuleType: ruletypes.RuleTypeProm,
Evaluation: &ruletypes.EvaluationEnvelope{Kind: ruletypes.RollingEvaluation, Spec: ruletypes.RollingWindow{
EvalWindow: ruletypes.Duration(5 * time.Minute),
Frequency: ruletypes.Duration(1 * time.Minute),
}},
RuleCondition: &ruletypes.RuleCondition{
CompositeQuery: &v3.CompositeQuery{
QueryType: v3.QueryTypePromQL,
PromQueries: map[string]*v3.PromQuery{
"A": {
Query: "test_metric",
},
},
},
AlertOnAbsent: true,
},
}
// time_series_v4 cols of interest
fingerprintCols := []cmock.ColumnType{
{Name: "fingerprint", Type: "UInt64"},
{Name: "any(labels)", Type: "String"},
}
cases := []struct {
values []struct {
timestamp time.Time
value float64
}
expectNoData bool
}{
{
values: []struct {
timestamp time.Time
value float64
}{},
expectNoData: true,
},
}
logger := instrumentationtest.New().Logger()
for idx, c := range cases {
telemetryStore := telemetrystoretest.New(telemetrystore.Config{}, &queryMatcherAny{})
// no data
fingerprintData := [][]interface{}{}
fingerprintRows := cmock.NewRows(fingerprintCols, fingerprintData)
// no rows == no data
telemetryStore.Mock().
ExpectQuery("SELECT fingerprint, any").
WithArgs("test_metric", "__name__", "test_metric").
WillReturnRows(fingerprintRows)
promProvider := prometheustest.New(context.Background(), instrumentationtest.New().ToProviderSettings(), prometheus.Config{}, telemetryStore)
var target float64 = 0
postableRule.RuleCondition.Thresholds = &ruletypes.RuleThresholdData{
Kind: ruletypes.BasicThresholdKind,
Spec: ruletypes.BasicRuleThresholds{
{
Name: postableRule.AlertName,
TargetValue: &target,
MatchType: ruletypes.AtleastOnce,
CompareOp: ruletypes.ValueIsEq,
},
},
}
postableRule.Annotations = map[string]string{
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
"summary": "The rule threshold is set to {{$threshold}}, and the observed metric value is {{$value}}",
}
options := clickhouseReader.NewOptions("", "", "archiveNamespace")
reader := clickhouseReader.NewReader(nil, telemetryStore, promProvider, "", time.Second, nil, nil, options)
rule, err := NewPromRule("69", valuer.GenerateUUID(), &postableRule, logger, reader, promProvider)
if err != nil {
assert.NoError(t, err)
promProvider.Close()
continue
}
alertsFound, err := rule.Eval(context.Background(), evalTime)
if err != nil {
assert.NoError(t, err)
promProvider.Close()
continue
}
assert.Equal(t, 1, alertsFound, "case %d", idx)
for _, item := range rule.Active {
if c.expectNoData {
assert.True(t, strings.Contains(item.Labels.Get(qslabels.AlertNameLabel), "[No data]"), "case %d", idx)
} else {
assert.False(t, strings.Contains(item.Labels.Get(qslabels.AlertNameLabel), "[No data]"), "case %d", idx)
}
}
promProvider.Close()
}
}
func TestMultipleThresholdPromRule(t *testing.T) {
// fixed base time for deterministic tests
baseTime := time.Unix(1700000000, 0)
evalTime := baseTime.Add(5 * time.Minute)
postableRule := ruletypes.PostableRule{
AlertName: "Multiple threshold test",
AlertType: ruletypes.AlertTypeMetric,
RuleType: ruletypes.RuleTypeProm,
Evaluation: &ruletypes.EvaluationEnvelope{Kind: ruletypes.RollingEvaluation, Spec: ruletypes.RollingWindow{
EvalWindow: ruletypes.Duration(5 * time.Minute),
Frequency: ruletypes.Duration(1 * time.Minute),
}},
RuleCondition: &ruletypes.RuleCondition{
CompositeQuery: &v3.CompositeQuery{
QueryType: v3.QueryTypePromQL,
PromQueries: map[string]*v3.PromQuery{
"A": {
Query: "test_metric",
},
},
},
},
}
fingerprintCols := []cmock.ColumnType{
{Name: "fingerprint", Type: "UInt64"},
{Name: "any(labels)", Type: "String"},
}
samplesCols := []cmock.ColumnType{
{Name: "metric_name", Type: "String"},
{Name: "fingerprint", Type: "UInt64"},
{Name: "unix_milli", Type: "Int64"},
{Name: "value", Type: "Float64"},
{Name: "flags", Type: "UInt32"},
}
// see .Timestamps of base rule
evalWindowMs := int64(5 * 60 * 1000)
evalTimeMs := evalTime.UnixMilli()
queryStart := ((evalTimeMs-2*evalWindowMs)/60000)*60000 + 1
queryEnd := (evalTimeMs / 60000) * 60000
cases := []struct {
targetUnit string
yAxisUnit string
values []struct {
timestamp time.Time
value float64
}
expectAlerts int
compareOp string
matchType string
target float64
secondTarget float64
summaryAny []string
}{
{
targetUnit: "s",
yAxisUnit: "ns",
values: []struct {
timestamp time.Time
value float64
}{
{baseTime, 572588400}, // 0.57 seconds
{baseTime.Add(1 * time.Minute), 572386400}, // 0.57 seconds
{baseTime.Add(2 * time.Minute), 300947400}, // 0.3 seconds
{baseTime.Add(3 * time.Minute), 299316000}, // 0.3 seconds
{baseTime.Add(4 * time.Minute), 66640400.00000001}, // 0.06 seconds
},
expectAlerts: 1,
compareOp: "1", // Above
matchType: "1", // Once
target: 1, // 1 second
secondTarget: .5,
summaryAny: []string{
"observed metric value is 573 ms",
"observed metric value is 572 ms",
},
},
{
targetUnit: "ms",
yAxisUnit: "ns",
values: []struct {
timestamp time.Time
value float64
}{
{baseTime, 572588400}, // 572.58 ms
{baseTime.Add(1 * time.Minute), 572386400}, // 572.38 ms
{baseTime.Add(2 * time.Minute), 300947400}, // 300.94 ms
{baseTime.Add(3 * time.Minute), 299316000}, // 299.31 ms
{baseTime.Add(4 * time.Minute), 66640400.00000001}, // 66.64 ms
},
expectAlerts: 2, // One alert per threshold that fires
compareOp: "1", // Above
matchType: "1", // Once
target: 200, // 200 ms
secondTarget: 500,
summaryAny: []string{
"observed metric value is 299 ms",
"the observed metric value is 573 ms",
"the observed metric value is 572 ms",
"the observed metric value is 301 ms",
},
},
{
targetUnit: "decgbytes",
yAxisUnit: "bytes",
values: []struct {
timestamp time.Time
value float64
}{
{baseTime, 2863284053}, // 2.86 GB
{baseTime.Add(1 * time.Minute), 2863388842}, // 2.86 GB
{baseTime.Add(2 * time.Minute), 300947400}, // 0.3 GB
{baseTime.Add(3 * time.Minute), 299316000}, // 0.3 GB
{baseTime.Add(4 * time.Minute), 66640400.00000001}, // 66.64 MB
},
expectAlerts: 1,
compareOp: "1", // Above
matchType: "1", // Once
target: 200, // 200 GB
secondTarget: 2, // 2GB
summaryAny: []string{
"observed metric value is 2.7 GiB",
"the observed metric value is 0.3 GB",
},
},
}
logger := instrumentationtest.New().Logger()
for idx, c := range cases {
telemetryStore := telemetrystoretest.New(telemetrystore.Config{}, &queryMatcherAny{})
fingerprint := uint64(12345)
labelsJSON := `{"__name__":"test_metric"}`
fingerprintData := [][]interface{}{
{fingerprint, labelsJSON},
}
fingerprintRows := cmock.NewRows(fingerprintCols, fingerprintData)
samplesData := make([][]interface{}, len(c.values))
for i, v := range c.values {
samplesData[i] = []interface{}{
"test_metric",
fingerprint,
v.timestamp.UnixMilli(),
v.value,
uint32(0),
}
}
samplesRows := cmock.NewRows(samplesCols, samplesData)
telemetryStore.Mock().
ExpectQuery("SELECT fingerprint, any").
WithArgs("test_metric", "__name__", "test_metric").
WillReturnRows(fingerprintRows)
telemetryStore.Mock().
ExpectQuery("SELECT metric_name, fingerprint, unix_milli").
WithArgs(
"test_metric",
"test_metric",
"__name__",
"test_metric",
queryStart,
queryEnd,
).
WillReturnRows(samplesRows)
promProvider := prometheustest.New(context.Background(), instrumentationtest.New().ToProviderSettings(), prometheus.Config{}, telemetryStore)
postableRule.RuleCondition.CompareOp = ruletypes.CompareOp(c.compareOp)
postableRule.RuleCondition.MatchType = ruletypes.MatchType(c.matchType)
postableRule.RuleCondition.Target = &c.target
postableRule.RuleCondition.CompositeQuery.Unit = c.yAxisUnit
postableRule.RuleCondition.TargetUnit = c.targetUnit
postableRule.RuleCondition.Thresholds = &ruletypes.RuleThresholdData{
Kind: ruletypes.BasicThresholdKind,
Spec: ruletypes.BasicRuleThresholds{
{
Name: "first_threshold",
TargetValue: &c.target,
TargetUnit: c.targetUnit,
MatchType: ruletypes.MatchType(c.matchType),
CompareOp: ruletypes.CompareOp(c.compareOp),
},
{
Name: "second_threshold",
TargetValue: &c.secondTarget,
TargetUnit: c.targetUnit,
MatchType: ruletypes.MatchType(c.matchType),
CompareOp: ruletypes.CompareOp(c.compareOp),
},
},
}
postableRule.Annotations = map[string]string{
"description": "This alert is fired when the defined metric (current value: {{$value}}) crosses the threshold ({{$threshold}})",
"summary": "The rule threshold is set to {{$threshold}}, and the observed metric value is {{$value}}",
}
options := clickhouseReader.NewOptions("", "", "archiveNamespace")
reader := clickhouseReader.NewReader(nil, telemetryStore, promProvider, "", time.Second, nil, nil, options)
rule, err := NewPromRule("69", valuer.GenerateUUID(), &postableRule, logger, reader, promProvider)
if err != nil {
assert.NoError(t, err)
promProvider.Close()
continue
}
alertsFound, err := rule.Eval(context.Background(), evalTime)
if err != nil {
assert.NoError(t, err)
promProvider.Close()
continue
}
assert.Equal(t, c.expectAlerts, alertsFound, "case %d", idx)
if c.expectAlerts != 0 {
foundCount := 0
for _, item := range rule.Active {
for _, summary := range c.summaryAny {
if strings.Contains(item.Annotations.Get("summary"), summary) {
foundCount++
break
}
}
}
assert.Equal(t, c.expectAlerts, foundCount, "case %d", idx)
}
promProvider.Close()
}
}
func TestPromRule_NoData(t *testing.T) {
evalTime := time.Now()
postableRule := ruletypes.PostableRule{
AlertName: "Test no data",
AlertType: ruletypes.AlertTypeMetric,
RuleType: ruletypes.RuleTypeProm,
Evaluation: &ruletypes.EvaluationEnvelope{Kind: ruletypes.RollingEvaluation, Spec: ruletypes.RollingWindow{
EvalWindow: ruletypes.Duration(5 * time.Minute),
Frequency: ruletypes.Duration(1 * time.Minute),
}},
RuleCondition: &ruletypes.RuleCondition{
CompareOp: ruletypes.ValueIsAbove,
MatchType: ruletypes.AtleastOnce,
CompositeQuery: &v3.CompositeQuery{
QueryType: v3.QueryTypePromQL,
PromQueries: map[string]*v3.PromQuery{
"A": {Query: "test_metric"},
},
},
Thresholds: &ruletypes.RuleThresholdData{
Kind: ruletypes.BasicThresholdKind,
Spec: ruletypes.BasicRuleThresholds{{Name: "Test no data"}},
},
},
}
// time_series_v4 cols of interest
fingerprintCols := []cmock.ColumnType{
{Name: "fingerprint", Type: "UInt64"},
{Name: "any(labels)", Type: "String"},
}
// samples_v4 columns
samplesCols := []cmock.ColumnType{
{Name: "metric_name", Type: "String"},
{Name: "fingerprint", Type: "UInt64"},
{Name: "unix_milli", Type: "Int64"},
{Name: "value", Type: "Float64"},
{Name: "flags", Type: "UInt32"},
}
// see Timestamps on base_rule
evalWindowMs := int64(5 * 60 * 1000) // 5 minutes in ms
evalTimeMs := evalTime.UnixMilli()
queryStart := ((evalTimeMs-2*evalWindowMs)/60000)*60000 + 1 // truncate to minute + 1ms
queryEnd := (evalTimeMs / 60000) * 60000 // truncate to minute
cases := []struct {
description string
alertOnAbsent bool
values []any
target float64
expectAlerts int
}{
{
description: "AlertOnAbsent=false",
alertOnAbsent: false,
values: []any{},
target: 200,
expectAlerts: 0,
},
{
description: "AlertOnAbsent=true",
alertOnAbsent: true,
values: []any{},
target: 200,
expectAlerts: 1,
},
}
logger := instrumentationtest.New().Logger()
for _, c := range cases {
t.Run(c.description, func(t *testing.T) {
postableRule.RuleCondition.AlertOnAbsent = c.alertOnAbsent
telemetryStore := telemetrystoretest.New(telemetrystore.Config{}, &queryMatcherAny{})
// single fingerprint with labels JSON
fingerprint := uint64(12345)
labelsJSON := `{"__name__":"test_metric"}`
telemetryStore.Mock().
ExpectQuery("SELECT fingerprint, any").
WithArgs("test_metric", "__name__", "test_metric").
WillReturnRows(cmock.NewRows(fingerprintCols, [][]any{{fingerprint, labelsJSON}}))
telemetryStore.Mock().
ExpectQuery("SELECT metric_name, fingerprint, unix_milli").
WithArgs("test_metric", "test_metric", "__name__", "test_metric", queryStart, queryEnd).
WillReturnRows(cmock.NewRows(samplesCols, [][]any{}))
promProvider := prometheustest.New(
context.Background(),
instrumentationtest.New().ToProviderSettings(),
prometheus.Config{},
telemetryStore,
)
defer func() {
_ = promProvider.Close()
}()
options := clickhouseReader.NewOptions("primaryNamespace")
reader := clickhouseReader.NewReader(nil, telemetryStore, promProvider, "", time.Second, nil, nil, options)
rule, err := NewPromRule("some-id", valuer.GenerateUUID(), &postableRule, logger, reader, promProvider)
require.NoError(t, err)
alertsFound, err := rule.Eval(context.Background(), evalTime)
require.NoError(t, err)
assert.Equal(t, c.expectAlerts, alertsFound)
})
}
}
func TestPromRule_NoData_AbsentFor(t *testing.T) {
// 1. Call Eval with data at time t1, to populate lastTimestampWithDatapoints
// 2. Call Eval without data at time t2
// 3. Alert fires only if t2 - t1 > AbsentFor
baseTime := time.Unix(1700000000, 0)
evalWindow := 5 * time.Minute
// Set target higher than test data (100.0) so regular threshold alerts don't fire
target := 500.0
postableRule := ruletypes.PostableRule{
AlertName: "Test no data with AbsentFor",
AlertType: ruletypes.AlertTypeMetric,
RuleType: ruletypes.RuleTypeProm,
Evaluation: &ruletypes.EvaluationEnvelope{Kind: ruletypes.RollingEvaluation, Spec: ruletypes.RollingWindow{
EvalWindow: ruletypes.Duration(evalWindow),
Frequency: ruletypes.Duration(1 * time.Minute),
}},
RuleCondition: &ruletypes.RuleCondition{
CompareOp: ruletypes.ValueIsAbove,
MatchType: ruletypes.AtleastOnce,
AlertOnAbsent: true,
Target: &target,
CompositeQuery: &v3.CompositeQuery{
QueryType: v3.QueryTypePromQL,
PromQueries: map[string]*v3.PromQuery{
"A": {Query: "test_metric"},
},
},
Thresholds: &ruletypes.RuleThresholdData{
Kind: ruletypes.BasicThresholdKind,
Spec: ruletypes.BasicRuleThresholds{{
Name: "Test no data with AbsentFor",
TargetValue: &target,
MatchType: ruletypes.AtleastOnce,
CompareOp: ruletypes.ValueIsAbove,
}},
},
},
}
fingerprintCols := []cmock.ColumnType{
{Name: "fingerprint", Type: "UInt64"},
{Name: "any(labels)", Type: "String"},
}
samplesCols := []cmock.ColumnType{
{Name: "metric_name", Type: "String"},
{Name: "fingerprint", Type: "UInt64"},
{Name: "unix_milli", Type: "Int64"},
{Name: "value", Type: "Float64"},
{Name: "flags", Type: "UInt32"},
}
cases := []struct {
description string
absentFor uint64 // grace period in minutes
timeBetweenEvals time.Duration // time between first eval (with data) and second eval (no data)
expectAlertOnEval2 int
}{
{
description: "WithinGracePeriod",
absentFor: 5,
timeBetweenEvals: 4 * time.Minute,
expectAlertOnEval2: 0,
},
{
description: "AfterGracePeriod",
absentFor: 5,
timeBetweenEvals: 6 * time.Minute,
expectAlertOnEval2: 1,
},
}
logger := instrumentationtest.New().Logger()
for _, c := range cases {
t.Run(c.description, func(t *testing.T) {
postableRule.RuleCondition.AbsentFor = c.absentFor
// Timestamps for two evaluations
// t1 is the eval time for first eval, data points are in the past
t1 := baseTime.Add(5 * time.Minute) // first eval with data
t2 := t1.Add(c.timeBetweenEvals) // second eval without data
telemetryStore := telemetrystoretest.New(telemetrystore.Config{}, &queryMatcherAny{})
fingerprint := uint64(12345)
labelsJSON := `{"__name__":"test_metric"}`
// Helper to calculate query time range for an eval time
calcQueryRange := func(evalTime time.Time) (int64, int64) {
evalTimeMs := evalTime.UnixMilli()
queryStart := ((evalTimeMs-2*evalWindow.Milliseconds())/60000)*60000 + 1
queryEnd := (evalTimeMs / 60000) * 60000
return queryStart, queryEnd
}
// First eval (t1) - with data
queryStart1, queryEnd1 := calcQueryRange(t1)
telemetryStore.Mock().
ExpectQuery("SELECT fingerprint, any").
WithArgs("test_metric", "__name__", "test_metric").
WillReturnRows(cmock.NewRows(fingerprintCols, [][]any{{fingerprint, labelsJSON}}))
telemetryStore.Mock().
ExpectQuery("SELECT metric_name, fingerprint, unix_milli").
WithArgs("test_metric", "test_metric", "__name__", "test_metric", queryStart1, queryEnd1).
WillReturnRows(cmock.NewRows(samplesCols, [][]any{
// Data points in the past relative to t1
{"test_metric", fingerprint, baseTime.UnixMilli(), 100.0, uint32(0)},
{"test_metric", fingerprint, baseTime.Add(1 * time.Minute).UnixMilli(), 100.0, uint32(0)},
{"test_metric", fingerprint, baseTime.Add(2 * time.Minute).UnixMilli(), 100.0, uint32(0)},
}))
// Second eval (t2) - no data
queryStart2, queryEnd2 := calcQueryRange(t2)
telemetryStore.Mock().
ExpectQuery("SELECT fingerprint, any").
WithArgs("test_metric", "__name__", "test_metric").
WillReturnRows(cmock.NewRows(fingerprintCols, [][]any{{fingerprint, labelsJSON}}))
telemetryStore.Mock().
ExpectQuery("SELECT metric_name, fingerprint, unix_milli").
WithArgs("test_metric", "test_metric", "__name__", "test_metric", queryStart2, queryEnd2).
WillReturnRows(cmock.NewRows(samplesCols, [][]any{})) // empty - no data
promProvider := prometheustest.New(
context.Background(),
instrumentationtest.New().ToProviderSettings(),
prometheus.Config{},
telemetryStore,
)
defer func() {
_ = promProvider.Close()
}()
options := clickhouseReader.NewOptions("primaryNamespace")
reader := clickhouseReader.NewReader(nil, telemetryStore, promProvider, "", time.Second, nil, nil, options)
rule, err := NewPromRule("some-id", valuer.GenerateUUID(), &postableRule, logger, reader, promProvider)
require.NoError(t, err)
// First eval with data - should NOT alert, but populates lastTimestampWithDatapoints
alertsFound1, err := rule.Eval(context.Background(), t1)
require.NoError(t, err)
assert.Equal(t, 0, alertsFound1, "First eval with data should not alert")
// Second eval without data - should alert based on AbsentFor
alertsFound2, err := rule.Eval(context.Background(), t2)
require.NoError(t, err)
assert.Equal(t, c.expectAlertOnEval2, alertsFound2)
})
}
}
func TestPromRuleEval_RequireMinPoints(t *testing.T) {
// fixed base time for deterministic tests
baseTime := time.Unix(1700000000, 0)
evalTime := baseTime.Add(5 * time.Minute)
evalWindow := 5 * time.Minute
lookBackDelta := time.Minute
postableRule := ruletypes.PostableRule{
AlertName: "Unit test",
AlertType: ruletypes.AlertTypeMetric,
RuleType: ruletypes.RuleTypeProm,
Evaluation: &ruletypes.EvaluationEnvelope{Kind: ruletypes.RollingEvaluation, Spec: ruletypes.RollingWindow{
EvalWindow: ruletypes.Duration(evalWindow),
Frequency: ruletypes.Duration(time.Minute),
}},
RuleCondition: &ruletypes.RuleCondition{
CompareOp: ruletypes.ValueIsAbove,
MatchType: ruletypes.AtleastOnce,
CompositeQuery: &v3.CompositeQuery{
QueryType: v3.QueryTypePromQL,
PromQueries: map[string]*v3.PromQuery{
"A": {Query: "test_metric"},
},
},
},
}
fingerprintCols := []cmock.ColumnType{
{Name: "fingerprint", Type: "UInt64"},
{Name: "any(labels)", Type: "String"},
}
fingerprint := uint64(12345)
fingerprintData := [][]any{{fingerprint, `{"__name__":"test_metric"}`}}
samplesCols := []cmock.ColumnType{
{Name: "metric_name", Type: "String"},
{Name: "fingerprint", Type: "UInt64"},
{Name: "unix_milli", Type: "Int64"},
{Name: "value", Type: "Float64"},
{Name: "flags", Type: "UInt32"},
}
samplesData := [][]any{
{"test_metric", fingerprint, baseTime.UnixMilli(), 100.0, 0},
{"test_metric", fingerprint, baseTime.Add(time.Minute).UnixMilli(), 150.0, 0},
{"test_metric", fingerprint, baseTime.Add(2 * time.Minute).UnixMilli(), 250.0, 0},
}
targetForAlert := 200.0
targetForNoAlert := 500.0
// see Timestamps on base_rule
evalTimeMs := evalTime.UnixMilli()
queryStart := ((evalTimeMs-evalWindow.Milliseconds()-lookBackDelta.Milliseconds())/60000)*60000 + 1 // truncate to minute + 1ms
queryEnd := (evalTimeMs / 60000) * 60000 // truncate to minute
cases := []struct {
description string
alertCondition bool
requireMinPoints bool
requiredNumPoints int
expectAlerts int
}{
{
description: "AlertCondition=false, RequireMinPoints=false",
alertCondition: false,
requireMinPoints: false,
expectAlerts: 0,
},
{
description: "AlertCondition=true, RequireMinPoints=false",
alertCondition: true,
requireMinPoints: false,
expectAlerts: 1,
},
{
description: "AlertCondition=true, RequireMinPoints=true, NumPoints=more_than_required",
alertCondition: true,
requireMinPoints: true,
requiredNumPoints: 2,
expectAlerts: 1,
},
{
description: "AlertCondition=true, RequireMinPoints=true, NumPoints=same_as_required",
alertCondition: true,
requireMinPoints: true,
requiredNumPoints: 3,
expectAlerts: 1,
},
{
description: "AlertCondition=true, RequireMinPoints=true, NumPoints=insufficient",
alertCondition: true,
requireMinPoints: true,
requiredNumPoints: 4,
expectAlerts: 0,
},
}
logger := instrumentationtest.New().Logger()
for _, c := range cases {
rc := postableRule.RuleCondition
rc.Target = &targetForNoAlert
if c.alertCondition {
rc.Target = &targetForAlert
}
rc.RequireMinPoints = c.requireMinPoints
rc.RequiredNumPoints = c.requiredNumPoints
rc.Thresholds = &ruletypes.RuleThresholdData{
Kind: ruletypes.BasicThresholdKind,
Spec: ruletypes.BasicRuleThresholds{
{
Name: postableRule.AlertName,
TargetValue: rc.Target,
MatchType: rc.MatchType,
CompareOp: rc.CompareOp,
},
},
}
t.Run(c.description, func(t *testing.T) {
telemetryStore := telemetrystoretest.New(telemetrystore.Config{}, &queryMatcherAny{})
telemetryStore.Mock().
ExpectQuery("SELECT fingerprint, any").
WithArgs("test_metric", "__name__", "test_metric").
WillReturnRows(cmock.NewRows(fingerprintCols, fingerprintData))
telemetryStore.Mock().
ExpectQuery("SELECT metric_name, fingerprint, unix_milli").
WithArgs("test_metric", "test_metric", "__name__", "test_metric", queryStart, queryEnd).
WillReturnRows(cmock.NewRows(samplesCols, samplesData))
promProvider := prometheustest.New(
context.Background(),
instrumentationtest.New().ToProviderSettings(),
prometheus.Config{LookbackDelta: lookBackDelta},
telemetryStore,
)
defer func() {
_ = promProvider.Close()
}()
options := clickhouseReader.NewOptions("primaryNamespace")
reader := clickhouseReader.NewReader(nil, telemetryStore, promProvider, "", time.Second, nil, nil, options)
rule, err := NewPromRule("some-id", valuer.GenerateUUID(), &postableRule, logger, reader, promProvider)
require.NoError(t, err)
alertsFound, err := rule.Eval(context.Background(), evalTime)
require.NoError(t, err)
assert.Equal(t, c.expectAlerts, alertsFound)
})
}
}
Reference in New Issue View Git Blame Copy Permalink