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@@ -3,149 +3,171 @@ 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/grafana/grafana/pkg/components/simplejson"
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+ "github.com/grafana/grafana/pkg/models"
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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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+ handler := NewHandler()
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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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+ json := `
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+ {
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+ "name": "name2",
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+ "description": "desc2",
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+ "handler": 0,
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+ "enabled": true,
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+ "frequency": "60s",
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+ "conditions": [
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+ {
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+ "type": "query",
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+ "query": {
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+ "params": ["A", "5m", "now"],
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+ "datasourceId": 1,
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+ "model": {"target": "aliasByNode(statsd.fakesite.counters.session_start.mobile.count, 4)"}
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+ },
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+ "reducer": {"type": "avg", "params": []},
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+ "evaluator": {"type": ">", "params": [100]}
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+ }
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+ ]
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+ }
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+ `
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+
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+ alertJSON, jsonErr := simplejson.NewJson([]byte(json))
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+ So(jsonErr, ShouldBeNil)
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+
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+ alert := &models.Alert{Settings: alertJSON}
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+ rule, _ := NewAlertRuleFromDBModel(alert)
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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 := handler.eval(rule)
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+ So(result.Triggered, ShouldEqual, true)
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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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+ // 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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