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Refactor exponential histogram tests to use existing fixtures #4747

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merged 4 commits into from
Dec 9, 2023
Merged

Refactor exponential histogram tests to use existing fixtures #4747

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245ec4b
Refactor expo hist test to use existing fixtures
MrAlias Dec 6, 2023
4f0ea03
Add alt input for cumulative test
MrAlias Dec 7, 2023
6327887
Merge branch 'main' into expo-hist-test-unify
MrAlias Dec 7, 2023
388ddac
Merge branch 'main' into expo-hist-test-unify
MrAlias Dec 9, 2023
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274 changes: 146 additions & 128 deletions sdk/metric/internal/aggregate/exponential_histogram_test.go
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Original file line number Diff line number Diff line change
Expand Up @@ -23,10 +23,8 @@ import (
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/require"

"go.opentelemetry.io/otel/attribute"
"go.opentelemetry.io/otel/internal/global"
"go.opentelemetry.io/otel/sdk/metric/metricdata"
"go.opentelemetry.io/otel/sdk/metric/metricdata/metricdatatest"
)

type noErrorHandler struct{ t *testing.T }
Expand Down Expand Up @@ -739,161 +737,181 @@ func TestSubNormal(t *testing.T) {
}

func TestExponentialHistogramAggregation(t *testing.T) {
t.Run("Int64", testExponentialHistogramAggregation[int64])
t.Run("Float64", testExponentialHistogramAggregation[float64])
}
t.Cleanup(mockTime(now))

func testExponentialHistogramAggregation[N int64 | float64](t *testing.T) {
const (
maxSize = 4
maxScale = 20
noMinMax = false
noSum = false
)
t.Run("Int64/Delta", testDeltaExpoHist[int64]())
t.Run("Float64/Delta", testDeltaExpoHist[float64]())
t.Run("Int64/Cumulative", testCumulativeExpoHist[int64]())
t.Run("Float64/Cumulative", testCumulativeExpoHist[float64]())
}

tests := []struct {
name string
build func() (Measure[N], ComputeAggregation)
input [][]N
want metricdata.ExponentialHistogram[N]
wantCount int
}{
func testDeltaExpoHist[N int64 | float64]() func(t *testing.T) {
in, out := Builder[N]{
Temporality: metricdata.DeltaTemporality,
Filter: attrFltr,
}.ExponentialBucketHistogram(4, 20, false, false)
ctx := context.Background()
return test[N](in, out, []teststep[N]{
{
input: []arg[N]{},
expect: output{
n: 0,
agg: metricdata.ExponentialHistogram[N]{
Temporality: metricdata.DeltaTemporality,
DataPoints: []metricdata.ExponentialHistogramDataPoint[N]{},
},
},
},
{
name: "Delta Single",
build: func() (Measure[N], ComputeAggregation) {
return Builder[N]{
input: []arg[N]{
{ctx, 4, alice},
{ctx, 4, alice},
{ctx, 4, alice},
{ctx, 2, alice},
{ctx, 16, alice},
{ctx, 1, alice},
},
expect: output{
n: 1,
agg: metricdata.ExponentialHistogram[N]{
Temporality: metricdata.DeltaTemporality,
}.ExponentialBucketHistogram(maxSize, maxScale, noMinMax, noSum)
},
input: [][]N{
{4, 4, 4, 2, 16, 1},
},
want: metricdata.ExponentialHistogram[N]{
Temporality: metricdata.DeltaTemporality,
DataPoints: []metricdata.ExponentialHistogramDataPoint[N]{
{
Count: 6,
Min: metricdata.NewExtrema[N](1),
Max: metricdata.NewExtrema[N](16),
Sum: 31,
Scale: -1,
PositiveBucket: metricdata.ExponentialBucket{
Offset: -1,
Counts: []uint64{1, 4, 1},
DataPoints: []metricdata.ExponentialHistogramDataPoint[N]{
{
Attributes: fltrAlice,
StartTime: staticTime,
Time: staticTime,
Count: 6,
Min: metricdata.NewExtrema[N](1),
Max: metricdata.NewExtrema[N](16),
Sum: 31,
Scale: -1,
PositiveBucket: metricdata.ExponentialBucket{
Offset: -1,
Counts: []uint64{1, 4, 1},
},
},
},
},
},
wantCount: 1,
},
{
name: "Cumulative Single",
build: func() (Measure[N], ComputeAggregation) {
return Builder[N]{
// Delta sums are expected to reset.
input: []arg[N]{},
expect: output{
n: 0,
agg: metricdata.ExponentialHistogram[N]{
Temporality: metricdata.DeltaTemporality,
DataPoints: []metricdata.ExponentialHistogramDataPoint[N]{},
},
},
},
})
}

func testCumulativeExpoHist[N int64 | float64]() func(t *testing.T) {
in, out := Builder[N]{
Temporality: metricdata.CumulativeTemporality,
Filter: attrFltr,
}.ExponentialBucketHistogram(4, 20, false, false)
ctx := context.Background()
return test[N](in, out, []teststep[N]{
{
input: []arg[N]{},
expect: output{
n: 0,
agg: metricdata.ExponentialHistogram[N]{
Temporality: metricdata.CumulativeTemporality,
}.ExponentialBucketHistogram(maxSize, maxScale, noMinMax, noSum)
},
input: [][]N{
{4, 4, 4, 2, 16, 1},
},
want: metricdata.ExponentialHistogram[N]{
Temporality: metricdata.CumulativeTemporality,
DataPoints: []metricdata.ExponentialHistogramDataPoint[N]{
{
Count: 6,
Min: metricdata.NewExtrema[N](1),
Max: metricdata.NewExtrema[N](16),
Sum: 31,
Scale: -1,
PositiveBucket: metricdata.ExponentialBucket{
Offset: -1,
Counts: []uint64{1, 4, 1},
DataPoints: []metricdata.ExponentialHistogramDataPoint[N]{},
},
},
},
{
input: []arg[N]{
{ctx, 4, alice},
{ctx, 4, alice},
{ctx, 4, alice},
{ctx, 2, alice},
{ctx, 16, alice},
{ctx, 1, alice},
},
expect: output{
n: 1,
agg: metricdata.ExponentialHistogram[N]{
Temporality: metricdata.CumulativeTemporality,
DataPoints: []metricdata.ExponentialHistogramDataPoint[N]{
{
Attributes: fltrAlice,
StartTime: staticTime,
Time: staticTime,
Count: 6,
Min: metricdata.NewExtrema[N](1),
Max: metricdata.NewExtrema[N](16),
Sum: 31,
Scale: -1,
PositiveBucket: metricdata.ExponentialBucket{
Offset: -1,
Counts: []uint64{1, 4, 1},
},
},
},
},
},
wantCount: 1,
},
{
name: "Delta Multiple",
build: func() (Measure[N], ComputeAggregation) {
return Builder[N]{
Temporality: metricdata.DeltaTemporality,
}.ExponentialBucketHistogram(maxSize, maxScale, noMinMax, noSum)
},
input: [][]N{
{2, 3, 8},
{4, 4, 4, 2, 16, 1},
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},
want: metricdata.ExponentialHistogram[N]{
Temporality: metricdata.DeltaTemporality,
DataPoints: []metricdata.ExponentialHistogramDataPoint[N]{
{
Count: 6,
Min: metricdata.NewExtrema[N](1),
Max: metricdata.NewExtrema[N](16),
Sum: 31,
Scale: -1,
PositiveBucket: metricdata.ExponentialBucket{
Offset: -1,
Counts: []uint64{1, 4, 1},
input: []arg[N]{
{ctx, 2, alice},
{ctx, 3, alice},
{ctx, 8, alice},
},
expect: output{
n: 1,
agg: metricdata.ExponentialHistogram[N]{
Temporality: metricdata.CumulativeTemporality,
DataPoints: []metricdata.ExponentialHistogramDataPoint[N]{
{
Attributes: fltrAlice,
StartTime: staticTime,
Time: staticTime,
Count: 9,
Min: metricdata.NewExtrema[N](1),
Max: metricdata.NewExtrema[N](16),
Sum: 44,
Scale: -1,
PositiveBucket: metricdata.ExponentialBucket{
Offset: -1,
Counts: []uint64{1, 6, 2},
},
},
},
},
},
wantCount: 1,
},
{
name: "Cumulative Multiple ",
build: func() (Measure[N], ComputeAggregation) {
return Builder[N]{
input: []arg[N]{},
expect: output{
n: 1,
agg: metricdata.ExponentialHistogram[N]{
Temporality: metricdata.CumulativeTemporality,
}.ExponentialBucketHistogram(maxSize, maxScale, noMinMax, noSum)
},
input: [][]N{
{2, 3, 8},
{4, 4, 4, 2, 16, 1},
},
want: metricdata.ExponentialHistogram[N]{
Temporality: metricdata.CumulativeTemporality,
DataPoints: []metricdata.ExponentialHistogramDataPoint[N]{
{
Count: 9,
Min: metricdata.NewExtrema[N](1),
Max: metricdata.NewExtrema[N](16),
Sum: 44,
Scale: -1,
PositiveBucket: metricdata.ExponentialBucket{
Offset: -1,
Counts: []uint64{1, 6, 2},
DataPoints: []metricdata.ExponentialHistogramDataPoint[N]{
{
Attributes: fltrAlice,
StartTime: staticTime,
Time: staticTime,
Count: 9,
Min: metricdata.NewExtrema[N](1),
Max: metricdata.NewExtrema[N](16),
Sum: 44,
Scale: -1,
PositiveBucket: metricdata.ExponentialBucket{
Offset: -1,
Counts: []uint64{1, 6, 2},
},
},
},
},
},
wantCount: 1,
},
}

for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
restore := withHandler(t)
defer restore()
in, out := tt.build()
ctx := context.Background()

var got metricdata.Aggregation
var count int
for _, n := range tt.input {
for _, v := range n {
in(ctx, v, *attribute.EmptySet())
}
count = out(&got)
}

metricdatatest.AssertAggregationsEqual(t, tt.want, got, metricdatatest.IgnoreTimestamp())
assert.Equal(t, tt.wantCount, count)
})
}
})
}

func FuzzGetBin(f *testing.F) {
Expand Down