feat(alerting): generelize aggregator functions

This commit is contained in:
bergquist
2016-05-27 15:17:48 +02:00
parent abc1ae3956
commit 22d8723c1d
2 changed files with 54 additions and 38 deletions
+37 -16
View File
@@ -13,46 +13,67 @@ func TestAlertingExecutor(t *testing.T) {
Convey("Show return ok since avg is above 2", func() {
rule := m.AlertRule{CritLevel: 10, CritOperator: "<", Aggregator: "sum"}
timeseries := []*m.TimeSeries{
timeSeries := []*m.TimeSeries{
m.NewTimeSeries("test1", [][2]float64{{2, 0}}),
}
result := executor.ValidateRule(rule, timeseries)
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{
timeSeries := []*m.TimeSeries{
m.NewTimeSeries("test1", [][2]float64{{2, 0}}),
}
result := executor.ValidateRule(rule, timeseries)
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{
timeSeries := []*m.TimeSeries{
m.NewTimeSeries("test1", [][2]float64{{9, 0}, {9, 0}}),
}
result := executor.ValidateRule(rule, timeseries)
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}}),
}
Convey("Show return ok since avg is below 10", func() {
rule := m.AlertRule{CritLevel: 10, CritOperator: "<", Aggregator: "avg"}
result := executor.ValidateRule(rule, timeseries)
So(result.State, ShouldEqual, m.AlertStateOk)
})
*/
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)
})
})
}