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@@ -3,149 +3,162 @@ package alerting
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import (
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"testing"
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- "github.com/grafana/grafana/pkg/services/alerting/alertstates"
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- "github.com/grafana/grafana/pkg/services/alerting/transformers"
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- "github.com/grafana/grafana/pkg/tsdb"
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. "github.com/smartystreets/goconvey/convey"
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)
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-func TestAlertingExecutor(t *testing.T) {
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- Convey("Test alert execution", t, func() {
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- executor := NewHandler()
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-
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- Convey("single time serie", func() {
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- Convey("Show return ok since avg is above 2", func() {
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- rule := &AlertRule{
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- Critical: Level{Value: 10, Operator: ">"},
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- Transformer: transformers.NewAggregationTransformer("avg"),
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- }
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-
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- timeSeries := []*tsdb.TimeSeries{
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- tsdb.NewTimeSeries("test1", [][2]float64{{2, 0}}),
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- }
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-
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- result := executor.evaluateRule(rule, timeSeries)
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- So(result.State, ShouldEqual, alertstates.Ok)
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- })
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-
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- Convey("Show return critical since below 2", func() {
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- rule := &AlertRule{
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- Critical: Level{Value: 10, Operator: "<"},
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- Transformer: transformers.NewAggregationTransformer("avg"),
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- }
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-
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- timeSeries := []*tsdb.TimeSeries{
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- tsdb.NewTimeSeries("test1", [][2]float64{{2, 0}}),
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- }
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-
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- result := executor.evaluateRule(rule, timeSeries)
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- So(result.State, ShouldEqual, alertstates.Critical)
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- })
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-
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- Convey("Show return critical since sum is above 10", func() {
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- rule := &AlertRule{
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- Critical: Level{Value: 10, Operator: ">"},
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- Transformer: transformers.NewAggregationTransformer("sum"),
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- }
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-
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- timeSeries := []*tsdb.TimeSeries{
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- tsdb.NewTimeSeries("test1", [][2]float64{{9, 0}, {9, 0}}),
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- }
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-
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- result := executor.evaluateRule(rule, timeSeries)
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- So(result.State, ShouldEqual, alertstates.Critical)
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- })
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-
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- Convey("Show return ok since avg is below 10", func() {
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- rule := &AlertRule{
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- Critical: Level{Value: 10, Operator: ">"},
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- Transformer: transformers.NewAggregationTransformer("avg"),
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- }
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-
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- timeSeries := []*tsdb.TimeSeries{
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- tsdb.NewTimeSeries("test1", [][2]float64{{9, 0}, {9, 0}}),
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- }
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-
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- result := executor.evaluateRule(rule, timeSeries)
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- So(result.State, ShouldEqual, alertstates.Ok)
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- })
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-
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- Convey("Show return ok since min is below 10", func() {
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- rule := &AlertRule{
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- Critical: Level{Value: 10, Operator: ">"},
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- Transformer: transformers.NewAggregationTransformer("avg"),
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- }
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-
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- timeSeries := []*tsdb.TimeSeries{
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- tsdb.NewTimeSeries("test1", [][2]float64{{11, 0}, {9, 0}}),
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- }
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-
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- result := executor.evaluateRule(rule, timeSeries)
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- So(result.State, ShouldEqual, alertstates.Ok)
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- })
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+type conditionStub struct {
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+ firing bool
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+}
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- Convey("Show return ok since max is above 10", func() {
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- rule := &AlertRule{
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- Critical: Level{Value: 10, Operator: ">"},
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- Transformer: transformers.NewAggregationTransformer("max"),
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- }
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+func (c *conditionStub) Eval(context *AlertResultContext) {
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+ context.Firing = c.firing
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+}
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- timeSeries := []*tsdb.TimeSeries{
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- tsdb.NewTimeSeries("test1", [][2]float64{{6, 0}, {11, 0}}),
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- }
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+func TestAlertingExecutor(t *testing.T) {
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+ Convey("Test alert execution", t, func() {
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+ handler := NewHandler()
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- result := executor.evaluateRule(rule, timeSeries)
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- So(result.State, ShouldEqual, alertstates.Critical)
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+ Convey("Show return triggered with single passing condition", func() {
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+ context := NewAlertResultContext(&AlertRule{
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+ Conditions: []AlertCondition{&conditionStub{
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+ firing: true,
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+ }},
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})
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+ handler.eval(context)
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+ So(context.Firing, ShouldEqual, true)
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})
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- Convey("muliple time series", func() {
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- Convey("both are ok", func() {
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- rule := &AlertRule{
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- Critical: Level{Value: 10, Operator: ">"},
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- Transformer: transformers.NewAggregationTransformer("avg"),
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- }
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-
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- timeSeries := []*tsdb.TimeSeries{
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- tsdb.NewTimeSeries("test1", [][2]float64{{2, 0}}),
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- tsdb.NewTimeSeries("test1", [][2]float64{{2, 0}}),
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- }
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-
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- result := executor.evaluateRule(rule, timeSeries)
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- So(result.State, ShouldEqual, alertstates.Ok)
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- })
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-
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- Convey("first serie is good, second is critical", func() {
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- rule := &AlertRule{
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- Critical: Level{Value: 10, Operator: ">"},
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- Transformer: transformers.NewAggregationTransformer("avg"),
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- }
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-
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- timeSeries := []*tsdb.TimeSeries{
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- tsdb.NewTimeSeries("test1", [][2]float64{{2, 0}}),
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- tsdb.NewTimeSeries("test1", [][2]float64{{11, 0}}),
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- }
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-
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- result := executor.evaluateRule(rule, timeSeries)
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- So(result.State, ShouldEqual, alertstates.Critical)
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+ Convey("Show return false with not passing condition", func() {
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+ context := NewAlertResultContext(&AlertRule{
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+ Conditions: []AlertCondition{
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+ &conditionStub{firing: true},
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+ &conditionStub{firing: false},
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+ },
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})
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- Convey("first serie is warn, second is critical", func() {
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- rule := &AlertRule{
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- Critical: Level{Value: 10, Operator: ">"},
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- Warning: Level{Value: 5, Operator: ">"},
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- Transformer: transformers.NewAggregationTransformer("avg"),
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- }
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-
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- timeSeries := []*tsdb.TimeSeries{
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- tsdb.NewTimeSeries("test1", [][2]float64{{6, 0}}),
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- tsdb.NewTimeSeries("test1", [][2]float64{{11, 0}}),
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- }
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-
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- result := executor.evaluateRule(rule, timeSeries)
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- So(result.State, ShouldEqual, alertstates.Critical)
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- })
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+ handler.eval(context)
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+ So(context.Firing, ShouldEqual, false)
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})
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+
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+ // Convey("Show return critical since below 2", func() {
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+ // rule := &AlertRule{
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+ // Critical: Level{Value: 10, Operator: "<"},
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+ // Transformer: transformers.NewAggregationTransformer("avg"),
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+ // }
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+ //
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+ // timeSeries := []*tsdb.TimeSeries{
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+ // tsdb.NewTimeSeries("test1", [][2]float64{{2, 0}}),
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+ // }
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+ //
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+ // result := executor.evaluateRule(rule, timeSeries)
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+ // So(result.State, ShouldEqual, alertstates.Critical)
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+ // })
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+ //
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+ // Convey("Show return critical since sum is above 10", func() {
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+ // rule := &AlertRule{
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+ // Critical: Level{Value: 10, Operator: ">"},
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+ // Transformer: transformers.NewAggregationTransformer("sum"),
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+ // }
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+ //
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+ // timeSeries := []*tsdb.TimeSeries{
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+ // tsdb.NewTimeSeries("test1", [][2]float64{{9, 0}, {9, 0}}),
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+ // }
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+ //
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+ // result := executor.evaluateRule(rule, timeSeries)
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+ // So(result.State, ShouldEqual, alertstates.Critical)
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+ // })
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+ //
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+ // Convey("Show return ok since avg is below 10", func() {
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+ // rule := &AlertRule{
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+ // Critical: Level{Value: 10, Operator: ">"},
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+ // Transformer: transformers.NewAggregationTransformer("avg"),
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+ // }
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+ //
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+ // timeSeries := []*tsdb.TimeSeries{
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+ // tsdb.NewTimeSeries("test1", [][2]float64{{9, 0}, {9, 0}}),
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+ // }
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+ //
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+ // result := executor.evaluateRule(rule, timeSeries)
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+ // So(result.State, ShouldEqual, alertstates.Ok)
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+ // })
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+ //
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+ // Convey("Show return ok since min is below 10", func() {
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+ // rule := &AlertRule{
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+ // Critical: Level{Value: 10, Operator: ">"},
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+ // Transformer: transformers.NewAggregationTransformer("avg"),
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+ // }
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+ //
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+ // timeSeries := []*tsdb.TimeSeries{
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+ // tsdb.NewTimeSeries("test1", [][2]float64{{11, 0}, {9, 0}}),
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+ // }
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+ //
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+ // result := executor.evaluateRule(rule, timeSeries)
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+ // So(result.State, ShouldEqual, alertstates.Ok)
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+ // })
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+ //
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+ // Convey("Show return ok since max is above 10", func() {
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+ // rule := &AlertRule{
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+ // Critical: Level{Value: 10, Operator: ">"},
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+ // Transformer: transformers.NewAggregationTransformer("max"),
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+ // }
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+ //
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+ // timeSeries := []*tsdb.TimeSeries{
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+ // tsdb.NewTimeSeries("test1", [][2]float64{{6, 0}, {11, 0}}),
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+ // }
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+ //
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+ // result := executor.evaluateRule(rule, timeSeries)
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+ // So(result.State, ShouldEqual, alertstates.Critical)
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+ // })
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+ //
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+ // })
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+ //
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+ // Convey("muliple time series", func() {
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+ // Convey("both are ok", func() {
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+ // rule := &AlertRule{
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+ // Critical: Level{Value: 10, Operator: ">"},
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+ // Transformer: transformers.NewAggregationTransformer("avg"),
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+ // }
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+ //
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+ // timeSeries := []*tsdb.TimeSeries{
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+ // tsdb.NewTimeSeries("test1", [][2]float64{{2, 0}}),
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+ // tsdb.NewTimeSeries("test1", [][2]float64{{2, 0}}),
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+ // }
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+ //
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+ // result := executor.evaluateRule(rule, timeSeries)
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+ // So(result.State, ShouldEqual, alertstates.Ok)
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+ // })
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+ //
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+ // Convey("first serie is good, second is critical", func() {
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+ // rule := &AlertRule{
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+ // Critical: Level{Value: 10, Operator: ">"},
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+ // Transformer: transformers.NewAggregationTransformer("avg"),
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+ // }
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+ //
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+ // timeSeries := []*tsdb.TimeSeries{
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+ // tsdb.NewTimeSeries("test1", [][2]float64{{2, 0}}),
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+ // tsdb.NewTimeSeries("test1", [][2]float64{{11, 0}}),
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+ // }
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+ //
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+ // result := executor.evaluateRule(rule, timeSeries)
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+ // So(result.State, ShouldEqual, alertstates.Critical)
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+ // })
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+ //
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+ // Convey("first serie is warn, second is critical", func() {
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+ // rule := &AlertRule{
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+ // Critical: Level{Value: 10, Operator: ">"},
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+ // Warning: Level{Value: 5, Operator: ">"},
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+ // Transformer: transformers.NewAggregationTransformer("avg"),
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+ // }
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+ //
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+ // timeSeries := []*tsdb.TimeSeries{
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+ // tsdb.NewTimeSeries("test1", [][2]float64{{6, 0}}),
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+ // tsdb.NewTimeSeries("test1", [][2]float64{{11, 0}}),
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+ // }
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+ //
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+ // result := executor.evaluateRule(rule, timeSeries)
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+ // So(result.State, ShouldEqual, alertstates.Critical)
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+ // })
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+ // })
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})
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}
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