grafana/pkg/services/ngalert/store/range_to_instant_test.go
Matthew Jacobson ce90a1f2be
Alerting: Apply query optimization to eval endpoints (#78566)
* Alerting: Apply query optimization to eval endpoints

Previously, query optimization was applied to alert queries when scheduled but
not when ran through `api/v1/eval` or `/api/v1/rule/test/grafana`. This could
lead to discrepancies between preview and scheduled alert results.
2023-11-28 19:44:28 -05:00

368 lines
12 KiB
Go

package store
import (
"encoding/json"
"fmt"
"testing"
"github.com/stretchr/testify/require"
"github.com/grafana/grafana/pkg/services/datasources"
"github.com/grafana/grafana/pkg/services/ngalert/models"
)
const (
promIsInstant = true
promIsNotInstant = false
promExternalDS = "some-external-ds"
)
func TestCanBeInstant(t *testing.T) {
tcs := []struct {
name string
expected bool
expectedOptimizations []Optimization
rule *models.AlertRule
}{
{
name: "valid loki rule that can be migrated from range to instant",
expected: true,
expectedOptimizations: []Optimization{{i: 0, t: datasources.DS_LOKI, RefID: "A"}},
rule: createMigrateableLokiRule(t),
},
{
name: "valid prom rule that can be migrated from range to instant",
expected: true,
expectedOptimizations: []Optimization{{i: 0, t: datasources.DS_PROMETHEUS, RefID: "A"}},
rule: createMigratablePromRule(t),
},
{
name: "valid loki rule with external loki datasource",
expected: true,
expectedOptimizations: []Optimization{{i: 0, t: datasources.DS_LOKI, RefID: "A"}},
rule: createMigrateableLokiRule(t, func(r *models.AlertRule) {
r.Data[0].DatasourceUID = "something-external"
}),
},
{
name: "valid prom rule with external prometheus datasource",
expected: true,
expectedOptimizations: []Optimization{{i: 0, t: datasources.DS_PROMETHEUS, RefID: "A"}},
rule: createMigratablePromRule(t, func(r *models.AlertRule) {
r.Data[0].DatasourceUID = "something-external"
}),
},
{
name: "valid prom rule with missing datasource",
expected: true,
expectedOptimizations: []Optimization{{i: 0, t: datasources.DS_PROMETHEUS, RefID: "A"}},
rule: createMigratablePromRuleWithDefaultDS(t),
},
{
name: "valid prom rule with missing datasource and instant query",
expected: false,
rule: createMigratablePromRuleWithDefaultDS(t, func(r *models.AlertRule) {
raw := make(map[string]any)
err := json.Unmarshal(r.Data[0].Model, &raw)
require.NoError(t, err)
raw["range"] = false
r.Data[0].Model, err = json.Marshal(raw)
require.NoError(t, err)
}),
},
{
name: "valid loki multi query rule with loki datasources",
expected: true,
expectedOptimizations: []Optimization{
{i: 0, t: datasources.DS_LOKI, RefID: "TotalRequests"},
{i: 1, t: datasources.DS_LOKI, RefID: "TotalErrors"},
},
rule: createMultiQueryMigratableLokiRule(t),
},
{
name: "valid prom multi query rule with prom datasources",
expected: true,
expectedOptimizations: []Optimization{
{i: 0, t: datasources.DS_PROMETHEUS, RefID: "TotalRequests"},
{i: 1, t: datasources.DS_PROMETHEUS, RefID: "TotalErrors"},
},
rule: createMultiQueryMigratablePromRule(t),
},
{
name: "invalid rule where the data array is too short to be migrateable",
expected: false,
rule: createMigrateableLokiRule(t, func(r *models.AlertRule) {
r.Data = []models.AlertQuery{r.Data[0]}
}),
},
{
name: "invalid rule that is not a range query",
expected: false,
rule: createMigrateableLokiRule(t, func(r *models.AlertRule) {
r.Data[0].QueryType = "something-else"
}),
},
{
name: "invalid rule that has not last() as aggregation",
expected: false,
rule: createMigrateableLokiRule(t, func(r *models.AlertRule) {
r.Data[1] = reducer(t, "B", "A", "avg")
}),
},
{
name: "invalid rule that has not all reducers last()",
expected: false,
rule: createMigrateableLokiRule(t, func(r *models.AlertRule) {
r.Data = append(r.Data, reducer(t, "invalid-reducer", "A", "min"))
}),
},
{
name: "invalid rule that has no aggregation",
expected: false,
rule: createMigrateableLokiRule(t, func(r *models.AlertRule) {
r.Data[1].DatasourceUID = "something-else"
}),
},
{
name: "invalid rule that has not last() pointing to range query",
expected: false,
rule: createMigrateableLokiRule(t, func(r *models.AlertRule) {
raw := make(map[string]any)
err := json.Unmarshal(r.Data[1].Model, &raw)
require.NoError(t, err)
raw["expression"] = "C"
r.Data[1].Model, err = json.Marshal(raw)
require.NoError(t, err)
}),
},
}
for _, tc := range tcs {
t.Run(tc.name, func(t *testing.T) {
optimizations, canBe := canBeInstant(tc.rule.Data)
require.Equal(t, tc.expected, canBe)
require.Equal(t, tc.expectedOptimizations, optimizations)
})
}
}
func TestMigrateLokiQueryToInstant(t *testing.T) {
original := createMigrateableLokiRule(t)
migrated := createMigrateableLokiRule(t, func(r *models.AlertRule) {
r.Data[0] = lokiQuery(t, "A", "instant", "grafanacloud-logs")
})
optimizableIndices, canBeOptimized := canBeInstant(original.Data)
require.True(t, canBeOptimized)
require.NoError(t, migrateToInstant(original.Data, optimizableIndices))
require.Equal(t, migrated.Data[0].QueryType, original.Data[0].QueryType)
originalModel := make(map[string]any)
require.NoError(t, json.Unmarshal(original.Data[0].Model, &originalModel))
migratedModel := make(map[string]any)
require.NoError(t, json.Unmarshal(migrated.Data[0].Model, &migratedModel))
require.Equal(t, migratedModel, originalModel)
_, canBeOptimized = canBeInstant(original.Data)
require.False(t, canBeOptimized)
}
func TestMigrateMultiLokiQueryToInstant(t *testing.T) {
original := createMultiQueryMigratableLokiRule(t)
migrated := createMultiQueryMigratableLokiRule(t, func(r *models.AlertRule) {
r.Data[0] = lokiQuery(t, "TotalRequests", "instant", "grafanacloud-logs")
r.Data[1] = lokiQuery(t, "TotalErrors", "instant", "grafanacloud-logs")
})
_, canBeOptimized := canBeInstant(original.Data)
require.True(t, canBeOptimized)
optimizations, err := OptimizeAlertQueries(original.Data)
require.NoError(t, err)
require.Equal(t, optimizations[0].RefID, original.Data[0].RefID)
require.Equal(t, optimizations[1].RefID, original.Data[1].RefID)
require.Equal(t, migrated.Data[0].QueryType, original.Data[0].QueryType)
require.Equal(t, migrated.Data[1].QueryType, original.Data[1].QueryType)
originalModel := make(map[string]any)
require.NoError(t, json.Unmarshal(original.Data[0].Model, &originalModel))
migratedModel := make(map[string]any)
require.NoError(t, json.Unmarshal(migrated.Data[0].Model, &migratedModel))
require.Equal(t, migratedModel, originalModel)
originalModel = make(map[string]any)
require.NoError(t, json.Unmarshal(original.Data[1].Model, &originalModel))
migratedModel = make(map[string]any)
require.NoError(t, json.Unmarshal(migrated.Data[1].Model, &migratedModel))
require.Equal(t, migratedModel, originalModel)
_, canBeOptimized = canBeInstant(original.Data)
require.False(t, canBeOptimized)
}
func TestMigratePromQueryToInstant(t *testing.T) {
original := createMigratablePromRule(t)
migrated := createMigratablePromRule(t, func(r *models.AlertRule) {
r.Data[0] = prometheusQuery(t, "A", promExternalDS, promIsInstant)
})
optimizableIndices, canBeOptimized := canBeInstant(original.Data)
require.True(t, canBeOptimized)
require.NoError(t, migrateToInstant(original.Data, optimizableIndices))
originalModel := make(map[string]any)
require.NoError(t, json.Unmarshal(original.Data[0].Model, &originalModel))
migratedModel := make(map[string]any)
require.NoError(t, json.Unmarshal(migrated.Data[0].Model, &migratedModel))
require.Equal(t, migratedModel, originalModel)
_, canBeOptimized = canBeInstant(original.Data)
require.False(t, canBeOptimized)
}
func TestMigrateMultiPromQueryToInstant(t *testing.T) {
original := createMultiQueryMigratablePromRule(t)
migrated := createMultiQueryMigratablePromRule(t, func(r *models.AlertRule) {
r.Data[0] = prometheusQuery(t, "TotalRequests", promExternalDS, promIsInstant)
r.Data[1] = prometheusQuery(t, "TotalErrors", promExternalDS, promIsInstant)
})
_, canBeOptimized := canBeInstant(original.Data)
require.True(t, canBeOptimized)
optimizations, err := OptimizeAlertQueries(original.Data)
require.NoError(t, err)
require.Equal(t, optimizations[0].RefID, original.Data[0].RefID)
require.Equal(t, optimizations[1].RefID, original.Data[1].RefID)
originalModel := make(map[string]any)
require.NoError(t, json.Unmarshal(original.Data[0].Model, &originalModel))
migratedModel := make(map[string]any)
require.NoError(t, json.Unmarshal(migrated.Data[0].Model, &migratedModel))
require.Equal(t, migratedModel, originalModel)
originalModel = make(map[string]any)
require.NoError(t, json.Unmarshal(original.Data[1].Model, &originalModel))
migratedModel = make(map[string]any)
require.NoError(t, json.Unmarshal(migrated.Data[1].Model, &migratedModel))
require.Equal(t, migratedModel, originalModel)
_, canBeOptimized = canBeInstant(original.Data)
require.False(t, canBeOptimized)
}
func createMigrateableLokiRule(t *testing.T, muts ...func(*models.AlertRule)) *models.AlertRule {
t.Helper()
r := &models.AlertRule{
Data: []models.AlertQuery{
lokiQuery(t, "A", "range", "grafanacloud-logs"),
reducer(t, "B", "A", "last"),
},
}
for _, m := range muts {
m(r)
}
return r
}
func createMultiQueryMigratableLokiRule(t *testing.T, muts ...func(*models.AlertRule)) *models.AlertRule {
t.Helper()
r := &models.AlertRule{
Data: []models.AlertQuery{
lokiQuery(t, "TotalRequests", "range", "grafanacloud-logs"),
lokiQuery(t, "TotalErrors", "range", "grafanacloud-logs"),
reducer(t, "TotalRequests_Last", "TotalRequests", "last"),
reducer(t, "TotalErrors_Last", "TotalErrors", "last"),
},
}
for _, m := range muts {
m(r)
}
return r
}
func createMigratablePromRule(t *testing.T, muts ...func(*models.AlertRule)) *models.AlertRule {
t.Helper()
r := &models.AlertRule{
Data: []models.AlertQuery{
prometheusQuery(t, "A", promExternalDS, promIsNotInstant),
reducer(t, "B", "A", "last"),
},
}
for _, m := range muts {
m(r)
}
return r
}
func createMigratablePromRuleWithDefaultDS(t *testing.T, muts ...func(*models.AlertRule)) *models.AlertRule {
t.Helper()
r := &models.AlertRule{
Data: []models.AlertQuery{
prometheusQueryWithoutDS(t, "A", grafanaCloudProm, promIsNotInstant),
reducer(t, "B", "A", "last"),
},
}
for _, m := range muts {
m(r)
}
return r
}
func createMultiQueryMigratablePromRule(t *testing.T, muts ...func(*models.AlertRule)) *models.AlertRule {
t.Helper()
r := &models.AlertRule{
Data: []models.AlertQuery{
prometheusQuery(t, "TotalRequests", promExternalDS, promIsNotInstant),
prometheusQuery(t, "TotalErrors", promExternalDS, promIsNotInstant),
reducer(t, "TotalRequests_Last", "TotalRequests", "last"),
reducer(t, "TotalErrors_Last", "TotalErrors", "last"),
},
}
for _, m := range muts {
m(r)
}
return r
}
func lokiQuery(t *testing.T, refID, queryType, datasourceUID string) models.AlertQuery {
t.Helper()
return models.CreateLokiQuery(refID, "1", 1000, 43200, queryType, datasourceUID)
}
func prometheusQuery(t *testing.T, refID, datasourceUID string, isInstant bool) models.AlertQuery {
t.Helper()
return models.CreatePrometheusQuery(refID, "1", 1000, 43200, isInstant, datasourceUID)
}
func prometheusQueryWithoutDS(t *testing.T, refID, datasourceUID string, isInstant bool) models.AlertQuery {
t.Helper()
return models.AlertQuery{
RefID: refID,
DatasourceUID: datasourceUID,
Model: []byte(fmt.Sprintf(`{
"instant": %t,
"range": %t,
"editorMode": "code",
"expr": "1",
"intervalMs": 1000,
"maxDataPoints": 43200,
"refId": "%s"
}`, isInstant, !isInstant, refID)),
}
}
func reducer(t *testing.T, refID, exp, op string) models.AlertQuery {
t.Helper()
return models.CreateReduceExpression(refID, exp, op)
}