grafana/pkg/services/alerting/conditions/reducer_test.go
Marcus Efraimsson baab021fec
Chore: Refactor usage of legacy data contracts (#41218)
Refactor usage of legacy data contracts. Moves legacy data contracts 
to pkg/tsdb/legacydata package.
Refactor pkg/expr to be a proper service/dependency that can be provided 
to wire to remove some unneeded dependencies to SSE in ngalert and other places.
Refactor pkg/expr to not use the legacydata,RequestHandler and use 
backend.QueryDataHandler instead.
2021-11-10 11:52:16 +01:00

409 lines
14 KiB
Go

package conditions
import (
"math"
"testing"
"github.com/grafana/grafana/pkg/components/null"
"github.com/grafana/grafana/pkg/tsdb/legacydata"
"github.com/stretchr/testify/require"
)
func TestSimpleReducer(t *testing.T) {
t.Run("sum", func(t *testing.T) {
result := testReducer("sum", 1, 2, 3)
require.Equal(t, float64(6), result)
})
t.Run("min", func(t *testing.T) {
result := testReducer("min", 3, 2, 1)
require.Equal(t, float64(1), result)
})
t.Run("max", func(t *testing.T) {
result := testReducer("max", 1, 2, 3)
require.Equal(t, float64(3), result)
})
t.Run("count", func(t *testing.T) {
result := testReducer("count", 1, 2, 3000)
require.Equal(t, float64(3), result)
})
t.Run("last", func(t *testing.T) {
result := testReducer("last", 1, 2, 3000)
require.Equal(t, float64(3000), result)
})
t.Run("median odd amount of numbers", func(t *testing.T) {
result := testReducer("median", 1, 2, 3000)
require.Equal(t, float64(2), result)
})
t.Run("median even amount of numbers", func(t *testing.T) {
result := testReducer("median", 1, 2, 4, 3000)
require.Equal(t, float64(3), result)
})
t.Run("median with one values", func(t *testing.T) {
result := testReducer("median", 1)
require.Equal(t, float64(1), result)
})
t.Run("median should ignore null values", func(t *testing.T) {
reducer := newSimpleReducer("median")
series := legacydata.DataTimeSeries{
Name: "test time series",
}
series.Points = append(series.Points, legacydata.DataTimePoint{null.FloatFromPtr(nil), null.FloatFrom(1)})
series.Points = append(series.Points, legacydata.DataTimePoint{null.FloatFromPtr(nil), null.FloatFrom(2)})
series.Points = append(series.Points, legacydata.DataTimePoint{null.FloatFromPtr(nil), null.FloatFrom(3)})
series.Points = append(series.Points, legacydata.DataTimePoint{null.FloatFrom(float64(1)), null.FloatFrom(4)})
series.Points = append(series.Points, legacydata.DataTimePoint{null.FloatFrom(float64(2)), null.FloatFrom(5)})
series.Points = append(series.Points, legacydata.DataTimePoint{null.FloatFrom(float64(3)), null.FloatFrom(6)})
result := reducer.Reduce(series)
require.Equal(t, true, result.Valid)
require.Equal(t, float64(2), result.Float64)
})
t.Run("avg", func(t *testing.T) {
result := testReducer("avg", 1, 2, 3)
require.Equal(t, float64(2), result)
})
t.Run("avg with only nulls", func(t *testing.T) {
reducer := newSimpleReducer("avg")
series := legacydata.DataTimeSeries{
Name: "test time series",
}
series.Points = append(series.Points, legacydata.DataTimePoint{null.FloatFromPtr(nil), null.FloatFrom(1)})
require.Equal(t, false, reducer.Reduce(series).Valid)
})
t.Run("count_non_null", func(t *testing.T) {
t.Run("with null values and real values", func(t *testing.T) {
reducer := newSimpleReducer("count_non_null")
series := legacydata.DataTimeSeries{
Name: "test time series",
}
series.Points = append(series.Points, legacydata.DataTimePoint{null.FloatFromPtr(nil), null.FloatFrom(1)})
series.Points = append(series.Points, legacydata.DataTimePoint{null.FloatFromPtr(nil), null.FloatFrom(2)})
series.Points = append(series.Points, legacydata.DataTimePoint{null.FloatFrom(3), null.FloatFrom(3)})
series.Points = append(series.Points, legacydata.DataTimePoint{null.FloatFrom(3), null.FloatFrom(4)})
require.Equal(t, true, reducer.Reduce(series).Valid)
require.Equal(t, 2.0, reducer.Reduce(series).Float64)
})
t.Run("with null values", func(t *testing.T) {
reducer := newSimpleReducer("count_non_null")
series := legacydata.DataTimeSeries{
Name: "test time series",
}
series.Points = append(series.Points, legacydata.DataTimePoint{null.FloatFromPtr(nil), null.FloatFrom(1)})
series.Points = append(series.Points, legacydata.DataTimePoint{null.FloatFromPtr(nil), null.FloatFrom(2)})
require.Equal(t, false, reducer.Reduce(series).Valid)
})
})
t.Run("avg of number values and null values should ignore nulls", func(t *testing.T) {
reducer := newSimpleReducer("avg")
series := legacydata.DataTimeSeries{
Name: "test time series",
}
series.Points = append(series.Points, legacydata.DataTimePoint{null.FloatFrom(3), null.FloatFrom(1)})
series.Points = append(series.Points, legacydata.DataTimePoint{null.FloatFromPtr(nil), null.FloatFrom(2)})
series.Points = append(series.Points, legacydata.DataTimePoint{null.FloatFromPtr(nil), null.FloatFrom(3)})
series.Points = append(series.Points, legacydata.DataTimePoint{null.FloatFrom(3), null.FloatFrom(4)})
require.Equal(t, float64(3), reducer.Reduce(series).Float64)
})
// diff function Test Suite
t.Run("diff of one positive point", func(t *testing.T) {
result := testReducer("diff", 30)
require.Equal(t, float64(0), result)
})
t.Run("diff of one negative point", func(t *testing.T) {
result := testReducer("diff", -30)
require.Equal(t, float64(0), result)
})
t.Run("diff of two positive points[1]", func(t *testing.T) {
result := testReducer("diff", 30, 40)
require.Equal(t, float64(10), result)
})
t.Run("diff of two positive points[2]", func(t *testing.T) {
result := testReducer("diff", 30, 20)
require.Equal(t, float64(-10), result)
})
t.Run("diff of two negative points[1]", func(t *testing.T) {
result := testReducer("diff", -30, -40)
require.Equal(t, float64(-10), result)
})
t.Run("diff of two negative points[2]", func(t *testing.T) {
result := testReducer("diff", -30, -10)
require.Equal(t, float64(20), result)
})
t.Run("diff of one positive and one negative point", func(t *testing.T) {
result := testReducer("diff", 30, -40)
require.Equal(t, float64(-70), result)
})
t.Run("diff of one negative and one positive point", func(t *testing.T) {
result := testReducer("diff", -30, 40)
require.Equal(t, float64(70), result)
})
t.Run("diff of three positive points", func(t *testing.T) {
result := testReducer("diff", 30, 40, 50)
require.Equal(t, float64(20), result)
})
t.Run("diff of three negative points", func(t *testing.T) {
result := testReducer("diff", -30, -40, -50)
require.Equal(t, float64(-20), result)
})
t.Run("diff with only nulls", func(t *testing.T) {
reducer := newSimpleReducer("diff")
series := legacydata.DataTimeSeries{
Name: "test time series",
}
series.Points = append(series.Points, legacydata.DataTimePoint{null.FloatFromPtr(nil), null.FloatFrom(1)})
series.Points = append(series.Points, legacydata.DataTimePoint{null.FloatFromPtr(nil), null.FloatFrom(2)})
require.Equal(t, false, reducer.Reduce(series).Valid)
})
// diff_abs function Test Suite
t.Run("diff_abs of one positive point", func(t *testing.T) {
result := testReducer("diff_abs", 30)
require.Equal(t, float64(0), result)
})
t.Run("diff_abs of one negative point", func(t *testing.T) {
result := testReducer("diff_abs", -30)
require.Equal(t, float64(0), result)
})
t.Run("diff_abs of two positive points[1]", func(t *testing.T) {
result := testReducer("diff_abs", 30, 40)
require.Equal(t, float64(10), result)
})
t.Run("diff_abs of two positive points[2]", func(t *testing.T) {
result := testReducer("diff_abs", 30, 20)
require.Equal(t, float64(10), result)
})
t.Run("diff_abs of two negative points[1]", func(t *testing.T) {
result := testReducer("diff_abs", -30, -40)
require.Equal(t, float64(10), result)
})
t.Run("diff_abs of two negative points[2]", func(t *testing.T) {
result := testReducer("diff_abs", -30, -10)
require.Equal(t, float64(20), result)
})
t.Run("diff_abs of one positive and one negative point", func(t *testing.T) {
result := testReducer("diff_abs", 30, -40)
require.Equal(t, float64(70), result)
})
t.Run("diff_abs of one negative and one positive point", func(t *testing.T) {
result := testReducer("diff_abs", -30, 40)
require.Equal(t, float64(70), result)
})
t.Run("diff_abs of three positive points", func(t *testing.T) {
result := testReducer("diff_abs", 30, 40, 50)
require.Equal(t, float64(20), result)
})
t.Run("diff_abs of three negative points", func(t *testing.T) {
result := testReducer("diff_abs", -30, -40, -50)
require.Equal(t, float64(20), result)
})
t.Run("diff_abs with only nulls", func(t *testing.T) {
reducer := newSimpleReducer("diff_abs")
series := legacydata.DataTimeSeries{
Name: "test time series",
}
series.Points = append(series.Points, legacydata.DataTimePoint{null.FloatFromPtr(nil), null.FloatFrom(1)})
series.Points = append(series.Points, legacydata.DataTimePoint{null.FloatFromPtr(nil), null.FloatFrom(2)})
require.Equal(t, false, reducer.Reduce(series).Valid)
})
// percent_diff function Test Suite
t.Run("percent_diff of one positive point", func(t *testing.T) {
result := testReducer("percent_diff", 30)
require.Equal(t, float64(0), result)
})
t.Run("percent_diff of one negative point", func(t *testing.T) {
result := testReducer("percent_diff", -30)
require.Equal(t, float64(0), result)
})
t.Run("percent_diff of two positive points[1]", func(t *testing.T) {
result := testReducer("percent_diff", 30, 40)
require.Equal(t, float64(33.33333333333333), result)
})
t.Run("percent_diff of two positive points[2]", func(t *testing.T) {
result := testReducer("percent_diff", 30, 20)
require.Equal(t, float64(-33.33333333333333), result)
})
t.Run("percent_diff of two negative points[1]", func(t *testing.T) {
result := testReducer("percent_diff", -30, -40)
require.Equal(t, float64(-33.33333333333333), result)
})
t.Run("percent_diff of two negative points[2]", func(t *testing.T) {
result := testReducer("percent_diff", -30, -10)
require.Equal(t, float64(66.66666666666666), result)
})
t.Run("percent_diff of one positive and one negative point", func(t *testing.T) {
result := testReducer("percent_diff", 30, -40)
require.Equal(t, float64(-233.33333333333334), result)
})
t.Run("percent_diff of one negative and one positive point", func(t *testing.T) {
result := testReducer("percent_diff", -30, 40)
require.Equal(t, float64(233.33333333333334), result)
})
t.Run("percent_diff of three positive points", func(t *testing.T) {
result := testReducer("percent_diff", 30, 40, 50)
require.Equal(t, float64(66.66666666666666), result)
})
t.Run("percent_diff of three negative points", func(t *testing.T) {
result := testReducer("percent_diff", -30, -40, -50)
require.Equal(t, float64(-66.66666666666666), result)
})
t.Run("percent_diff with only nulls", func(t *testing.T) {
reducer := newSimpleReducer("percent_diff")
series := legacydata.DataTimeSeries{
Name: "test time series",
}
series.Points = append(series.Points, legacydata.DataTimePoint{null.FloatFromPtr(nil), null.FloatFrom(1)})
series.Points = append(series.Points, legacydata.DataTimePoint{null.FloatFromPtr(nil), null.FloatFrom(2)})
require.Equal(t, false, reducer.Reduce(series).Valid)
})
// percent_diff_abs function Test Suite
t.Run("percent_diff_abs_abs of one positive point", func(t *testing.T) {
result := testReducer("percent_diff_abs", 30)
require.Equal(t, float64(0), result)
})
t.Run("percent_diff_abs of one negative point", func(t *testing.T) {
result := testReducer("percent_diff_abs", -30)
require.Equal(t, float64(0), result)
})
t.Run("percent_diff_abs of two positive points[1]", func(t *testing.T) {
result := testReducer("percent_diff_abs", 30, 40)
require.Equal(t, float64(33.33333333333333), result)
})
t.Run("percent_diff_abs of two positive points[2]", func(t *testing.T) {
result := testReducer("percent_diff_abs", 30, 20)
require.Equal(t, float64(33.33333333333333), result)
})
t.Run("percent_diff_abs of two negative points[1]", func(t *testing.T) {
result := testReducer("percent_diff_abs", -30, -40)
require.Equal(t, float64(33.33333333333333), result)
})
t.Run("percent_diff_abs of two negative points[2]", func(t *testing.T) {
result := testReducer("percent_diff_abs", -30, -10)
require.Equal(t, float64(66.66666666666666), result)
})
t.Run("percent_diff_abs of one positive and one negative point", func(t *testing.T) {
result := testReducer("percent_diff_abs", 30, -40)
require.Equal(t, float64(233.33333333333334), result)
})
t.Run("percent_diff_abs of one negative and one positive point", func(t *testing.T) {
result := testReducer("percent_diff_abs", -30, 40)
require.Equal(t, float64(233.33333333333334), result)
})
t.Run("percent_diff_abs of three positive points", func(t *testing.T) {
result := testReducer("percent_diff_abs", 30, 40, 50)
require.Equal(t, float64(66.66666666666666), result)
})
t.Run("percent_diff_abs of three negative points", func(t *testing.T) {
result := testReducer("percent_diff_abs", -30, -40, -50)
require.Equal(t, float64(66.66666666666666), result)
})
t.Run("percent_diff_abs with only nulls", func(t *testing.T) {
reducer := newSimpleReducer("percent_diff_abs")
series := legacydata.DataTimeSeries{
Name: "test time series",
}
series.Points = append(series.Points, legacydata.DataTimePoint{null.FloatFromPtr(nil), null.FloatFrom(1)})
series.Points = append(series.Points, legacydata.DataTimePoint{null.FloatFromPtr(nil), null.FloatFrom(2)})
require.Equal(t, false, reducer.Reduce(series).Valid)
})
t.Run("min should work with NaNs", func(t *testing.T) {
result := testReducer("min", math.NaN(), math.NaN(), math.NaN())
require.Equal(t, float64(0), result)
})
t.Run("isValid should treat NaN as invalid", func(t *testing.T) {
result := isValid(null.FloatFrom(math.NaN()))
require.False(t, result)
})
t.Run("isValid should treat invalid null.Float as invalid", func(t *testing.T) {
result := isValid(null.FloatFromPtr(nil))
require.False(t, result)
})
}
func testReducer(reducerType string, datapoints ...float64) float64 {
reducer := newSimpleReducer(reducerType)
series := legacydata.DataTimeSeries{
Name: "test time series",
}
for idx := range datapoints {
series.Points = append(series.Points, legacydata.DataTimePoint{null.FloatFrom(datapoints[idx]), null.FloatFrom(1234134)})
}
return reducer.Reduce(series).Float64
}