Files
grafana/pkg/services/alerting/executor_test.go
T
2016-05-27 15:17:48 +02:00

80 lines
2.3 KiB
Go

package alerting
import (
m "github.com/grafana/grafana/pkg/models"
. "github.com/smartystreets/goconvey/convey"
"testing"
)
func TestAlertingExecutor(t *testing.T) {
Convey("Test alert execution", t, func() {
executor := &ExecutorImpl{}
Convey("Show return ok since avg is above 2", func() {
rule := m.AlertRule{CritLevel: 10, CritOperator: "<", Aggregator: "sum"}
timeSeries := []*m.TimeSeries{
m.NewTimeSeries("test1", [][2]float64{{2, 0}}),
}
result := executor.ValidateRule(rule, timeSeries)
So(result.State, ShouldEqual, m.AlertStateOk)
})
Convey("Show return critical since below 2", func() {
rule := m.AlertRule{CritLevel: 10, CritOperator: ">", Aggregator: "sum"}
timeSeries := []*m.TimeSeries{
m.NewTimeSeries("test1", [][2]float64{{2, 0}}),
}
result := executor.ValidateRule(rule, timeSeries)
So(result.State, ShouldEqual, m.AlertStateCritical)
})
Convey("Show return critical since sum is above 10", func() {
rule := m.AlertRule{CritLevel: 10, CritOperator: "<", Aggregator: "sum"}
timeSeries := []*m.TimeSeries{
m.NewTimeSeries("test1", [][2]float64{{9, 0}, {9, 0}}),
}
result := executor.ValidateRule(rule, timeSeries)
So(result.State, ShouldEqual, m.AlertStateCritical)
})
Convey("Show return ok since avg is below 10", func() {
rule := m.AlertRule{CritLevel: 10, CritOperator: "<", Aggregator: "avg"}
timeSeries := []*m.TimeSeries{
m.NewTimeSeries("test1", [][2]float64{{9, 0}, {9, 0}}),
}
result := executor.ValidateRule(rule, timeSeries)
So(result.State, ShouldEqual, m.AlertStateOk)
})
Convey("Show return ok since min is below 10", func() {
rule := m.AlertRule{CritLevel: 10, CritOperator: "<", Aggregator: "min"}
timeSeries := []*m.TimeSeries{
m.NewTimeSeries("test1", [][2]float64{{11, 0}, {9, 0}}),
}
result := executor.ValidateRule(rule, timeSeries)
So(result.State, ShouldEqual, m.AlertStateOk)
})
Convey("Show return ok since max is above 10", func() {
rule := m.AlertRule{CritLevel: 10, CritOperator: "<", Aggregator: "max"}
timeSeries := []*m.TimeSeries{
m.NewTimeSeries("test1", [][2]float64{{1, 0}, {11, 0}}),
}
result := executor.ValidateRule(rule, timeSeries)
So(result.State, ShouldEqual, m.AlertStateCritical)
})
})
}