mirror of
https://github.com/open-telemetry/opentelemetry-go.git
synced 2024-12-14 10:13:10 +02:00
7d631dbfaa
* Update OTLP to v0.4.0 * Update attribute transforms to use new KeyValue * Update metric transforms The labels are no longer included in the MetricDescriptor Use new types. * Fix OTLP integration tests * Update example otel-collector go.sum * Update metric integration testing * Fix type error introduced in conflict resolution * Deep clean of go.sum Recreate go.sum for otel-collector example and OTLP exporter.
323 lines
10 KiB
Go
323 lines
10 KiB
Go
// Copyright The OpenTelemetry Authors
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package transform
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import (
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"context"
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"errors"
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"testing"
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"time"
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commonpb "github.com/open-telemetry/opentelemetry-proto/gen/go/common/v1"
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metricpb "github.com/open-telemetry/opentelemetry-proto/gen/go/metrics/v1"
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"github.com/stretchr/testify/assert"
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"github.com/stretchr/testify/require"
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"go.opentelemetry.io/otel/api/kv"
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"go.opentelemetry.io/otel/api/label"
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"go.opentelemetry.io/otel/api/metric"
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"go.opentelemetry.io/otel/api/unit"
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"go.opentelemetry.io/otel/exporters/metric/test"
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export "go.opentelemetry.io/otel/sdk/export/metric"
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"go.opentelemetry.io/otel/sdk/export/metric/aggregation"
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"go.opentelemetry.io/otel/sdk/metric/aggregator/minmaxsumcount"
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sumAgg "go.opentelemetry.io/otel/sdk/metric/aggregator/sum"
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)
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var (
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// Timestamps used in this test:
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intervalStart = time.Now()
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intervalEnd = intervalStart.Add(time.Hour)
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)
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func TestStringKeyValues(t *testing.T) {
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tests := []struct {
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kvs []kv.KeyValue
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expected []*commonpb.StringKeyValue
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}{
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{
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nil,
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nil,
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},
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{
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[]kv.KeyValue{},
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nil,
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},
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{
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[]kv.KeyValue{
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kv.Bool("true", true),
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kv.Int64("one", 1),
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kv.Uint64("two", 2),
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kv.Float64("three", 3),
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kv.Int32("four", 4),
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kv.Uint32("five", 5),
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kv.Float32("six", 6),
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kv.Int("seven", 7),
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kv.Uint("eight", 8),
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kv.String("the", "final word"),
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},
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[]*commonpb.StringKeyValue{
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{Key: "eight", Value: "8"},
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{Key: "five", Value: "5"},
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{Key: "four", Value: "4"},
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{Key: "one", Value: "1"},
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{Key: "seven", Value: "7"},
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{Key: "six", Value: "6"},
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{Key: "the", Value: "final word"},
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{Key: "three", Value: "3"},
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{Key: "true", Value: "true"},
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{Key: "two", Value: "2"},
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},
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},
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}
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for _, test := range tests {
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labels := label.NewSet(test.kvs...)
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assert.Equal(t, test.expected, stringKeyValues(labels.Iter()))
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}
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}
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func TestMinMaxSumCountValue(t *testing.T) {
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mmsc, ckpt := test.Unslice2(minmaxsumcount.New(2, &metric.Descriptor{}))
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assert.NoError(t, mmsc.Update(context.Background(), 1, &metric.Descriptor{}))
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assert.NoError(t, mmsc.Update(context.Background(), 10, &metric.Descriptor{}))
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// Prior to checkpointing ErrNoData should be returned.
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_, _, _, _, err := minMaxSumCountValues(ckpt.(aggregation.MinMaxSumCount))
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assert.EqualError(t, err, aggregation.ErrNoData.Error())
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// Checkpoint to set non-zero values
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require.NoError(t, mmsc.SynchronizedMove(ckpt, &metric.Descriptor{}))
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min, max, sum, count, err := minMaxSumCountValues(ckpt.(aggregation.MinMaxSumCount))
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if assert.NoError(t, err) {
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assert.Equal(t, min, metric.NewInt64Number(1))
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assert.Equal(t, max, metric.NewInt64Number(10))
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assert.Equal(t, sum, metric.NewInt64Number(11))
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assert.Equal(t, count, int64(2))
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}
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}
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func TestMinMaxSumCountMetricDescriptor(t *testing.T) {
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tests := []struct {
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name string
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metricKind metric.Kind
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description string
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unit unit.Unit
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numberKind metric.NumberKind
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labels []kv.KeyValue
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expected *metricpb.MetricDescriptor
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}{
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{
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"mmsc-test-a",
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metric.ValueRecorderKind,
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"test-a-description",
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unit.Dimensionless,
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metric.Int64NumberKind,
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[]kv.KeyValue{},
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&metricpb.MetricDescriptor{
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Name: "mmsc-test-a",
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Description: "test-a-description",
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Unit: "1",
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Type: metricpb.MetricDescriptor_SUMMARY,
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},
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},
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{
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"mmsc-test-b",
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metric.CounterKind, // This shouldn't change anything.
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"test-b-description",
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unit.Bytes,
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metric.Float64NumberKind, // This shouldn't change anything.
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[]kv.KeyValue{kv.String("A", "1")},
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&metricpb.MetricDescriptor{
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Name: "mmsc-test-b",
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Description: "test-b-description",
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Unit: "By",
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Type: metricpb.MetricDescriptor_SUMMARY,
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},
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},
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}
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ctx := context.Background()
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mmsc, ckpt := test.Unslice2(minmaxsumcount.New(2, &metric.Descriptor{}))
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if !assert.NoError(t, mmsc.Update(ctx, 1, &metric.Descriptor{})) {
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return
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}
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require.NoError(t, mmsc.SynchronizedMove(ckpt, &metric.Descriptor{}))
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for _, test := range tests {
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desc := metric.NewDescriptor(test.name, test.metricKind, test.numberKind,
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metric.WithDescription(test.description),
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metric.WithUnit(test.unit))
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labels := label.NewSet(test.labels...)
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record := export.NewRecord(&desc, &labels, nil, ckpt.Aggregation(), intervalStart, intervalEnd)
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got, err := minMaxSumCount(record, ckpt.(aggregation.MinMaxSumCount))
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if assert.NoError(t, err) {
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assert.Equal(t, test.expected, got.MetricDescriptor)
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}
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}
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}
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func TestMinMaxSumCountDatapoints(t *testing.T) {
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desc := metric.NewDescriptor("", metric.ValueRecorderKind, metric.Int64NumberKind)
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labels := label.NewSet()
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mmsc, ckpt := test.Unslice2(minmaxsumcount.New(2, &desc))
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assert.NoError(t, mmsc.Update(context.Background(), 1, &desc))
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assert.NoError(t, mmsc.Update(context.Background(), 10, &desc))
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require.NoError(t, mmsc.SynchronizedMove(ckpt, &desc))
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expected := []*metricpb.SummaryDataPoint{
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{
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Count: 2,
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Sum: 11,
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PercentileValues: []*metricpb.SummaryDataPoint_ValueAtPercentile{
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{
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Percentile: 0.0,
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Value: 1,
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},
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{
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Percentile: 100.0,
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Value: 10,
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},
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},
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StartTimeUnixNano: uint64(intervalStart.UnixNano()),
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TimeUnixNano: uint64(intervalEnd.UnixNano()),
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},
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}
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record := export.NewRecord(&desc, &labels, nil, ckpt.Aggregation(), intervalStart, intervalEnd)
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m, err := minMaxSumCount(record, ckpt.(aggregation.MinMaxSumCount))
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if assert.NoError(t, err) {
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assert.Equal(t, []*metricpb.Int64DataPoint(nil), m.Int64DataPoints)
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assert.Equal(t, []*metricpb.DoubleDataPoint(nil), m.DoubleDataPoints)
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assert.Equal(t, []*metricpb.HistogramDataPoint(nil), m.HistogramDataPoints)
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assert.Equal(t, expected, m.SummaryDataPoints)
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}
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}
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func TestMinMaxSumCountPropagatesErrors(t *testing.T) {
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// ErrNoData should be returned by both the Min and Max values of
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// a MinMaxSumCount Aggregator. Use this fact to check the error is
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// correctly returned.
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mmsc := &minmaxsumcount.New(1, &metric.Descriptor{})[0]
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_, _, _, _, err := minMaxSumCountValues(mmsc)
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assert.Error(t, err)
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assert.Equal(t, aggregation.ErrNoData, err)
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}
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func TestSumMetricDescriptor(t *testing.T) {
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tests := []struct {
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name string
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metricKind metric.Kind
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description string
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unit unit.Unit
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numberKind metric.NumberKind
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labels []kv.KeyValue
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expected *metricpb.MetricDescriptor
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}{
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{
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"sum-test-a",
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metric.CounterKind,
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"test-a-description",
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unit.Dimensionless,
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metric.Int64NumberKind,
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[]kv.KeyValue{},
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&metricpb.MetricDescriptor{
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Name: "sum-test-a",
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Description: "test-a-description",
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Unit: "1",
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Type: metricpb.MetricDescriptor_INT64,
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},
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},
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{
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"sum-test-b",
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metric.ValueRecorderKind, // This shouldn't change anything.
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"test-b-description",
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unit.Milliseconds,
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metric.Float64NumberKind,
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[]kv.KeyValue{kv.String("A", "1")},
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&metricpb.MetricDescriptor{
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Name: "sum-test-b",
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Description: "test-b-description",
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Unit: "ms",
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Type: metricpb.MetricDescriptor_DOUBLE,
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},
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},
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}
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for _, test := range tests {
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desc := metric.NewDescriptor(test.name, test.metricKind, test.numberKind,
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metric.WithDescription(test.description),
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metric.WithUnit(test.unit),
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)
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labels := label.NewSet(test.labels...)
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emptyAgg := &sumAgg.New(1)[0]
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record := export.NewRecord(&desc, &labels, nil, emptyAgg, intervalStart, intervalEnd)
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got, err := sum(record, emptyAgg)
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if assert.NoError(t, err) {
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assert.Equal(t, test.expected, got.MetricDescriptor)
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}
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}
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}
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func TestSumInt64DataPoints(t *testing.T) {
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desc := metric.NewDescriptor("", metric.ValueRecorderKind, metric.Int64NumberKind)
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labels := label.NewSet()
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s, ckpt := test.Unslice2(sumAgg.New(2))
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assert.NoError(t, s.Update(context.Background(), metric.Number(1), &desc))
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require.NoError(t, s.SynchronizedMove(ckpt, &desc))
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record := export.NewRecord(&desc, &labels, nil, ckpt.Aggregation(), intervalStart, intervalEnd)
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if m, err := sum(record, ckpt.(aggregation.Sum)); assert.NoError(t, err) {
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assert.Equal(t, []*metricpb.Int64DataPoint{{
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Value: 1,
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StartTimeUnixNano: uint64(intervalStart.UnixNano()),
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TimeUnixNano: uint64(intervalEnd.UnixNano()),
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}}, m.Int64DataPoints)
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assert.Equal(t, []*metricpb.DoubleDataPoint(nil), m.DoubleDataPoints)
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assert.Equal(t, []*metricpb.HistogramDataPoint(nil), m.HistogramDataPoints)
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assert.Equal(t, []*metricpb.SummaryDataPoint(nil), m.SummaryDataPoints)
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}
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}
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func TestSumFloat64DataPoints(t *testing.T) {
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desc := metric.NewDescriptor("", metric.ValueRecorderKind, metric.Float64NumberKind)
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labels := label.NewSet()
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s, ckpt := test.Unslice2(sumAgg.New(2))
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assert.NoError(t, s.Update(context.Background(), metric.NewFloat64Number(1), &desc))
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require.NoError(t, s.SynchronizedMove(ckpt, &desc))
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record := export.NewRecord(&desc, &labels, nil, ckpt.Aggregation(), intervalStart, intervalEnd)
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if m, err := sum(record, ckpt.(aggregation.Sum)); assert.NoError(t, err) {
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assert.Equal(t, []*metricpb.Int64DataPoint(nil), m.Int64DataPoints)
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assert.Equal(t, []*metricpb.DoubleDataPoint{{
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Value: 1,
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StartTimeUnixNano: uint64(intervalStart.UnixNano()),
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TimeUnixNano: uint64(intervalEnd.UnixNano()),
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}}, m.DoubleDataPoints)
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assert.Equal(t, []*metricpb.HistogramDataPoint(nil), m.HistogramDataPoints)
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assert.Equal(t, []*metricpb.SummaryDataPoint(nil), m.SummaryDataPoints)
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}
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}
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func TestSumErrUnknownValueType(t *testing.T) {
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desc := metric.NewDescriptor("", metric.ValueRecorderKind, metric.NumberKind(-1))
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labels := label.NewSet()
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s := &sumAgg.New(1)[0]
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record := export.NewRecord(&desc, &labels, nil, s, intervalStart, intervalEnd)
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_, err := sum(record, s)
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assert.Error(t, err)
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if !errors.Is(err, ErrUnknownValueType) {
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t.Errorf("expected ErrUnknownValueType, got %v", err)
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}
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}
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