mirror of
https://github.com/open-telemetry/opentelemetry-go.git
synced 2024-12-12 10:04:29 +02:00
367635b740
Co-authored-by: Rahul Patel <rahulpa@google.com>
359 lines
9.1 KiB
Go
359 lines
9.1 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 metric_test
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import (
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"context"
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"fmt"
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"math"
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"strings"
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"testing"
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"github.com/stretchr/testify/require"
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"go.opentelemetry.io/otel/api/core"
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"go.opentelemetry.io/otel/api/key"
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"go.opentelemetry.io/otel/api/metric"
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export "go.opentelemetry.io/otel/sdk/export/metric"
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"go.opentelemetry.io/otel/sdk/export/metric/aggregator"
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metricsdk "go.opentelemetry.io/otel/sdk/metric"
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"go.opentelemetry.io/otel/sdk/metric/aggregator/array"
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"go.opentelemetry.io/otel/sdk/metric/aggregator/sum"
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batchTest "go.opentelemetry.io/otel/sdk/metric/batcher/test"
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)
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var Must = metric.Must
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type correctnessBatcher struct {
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t *testing.T
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records []export.Record
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}
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func (cb *correctnessBatcher) AggregatorFor(descriptor *metric.Descriptor) export.Aggregator {
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name := descriptor.Name()
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switch {
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case strings.HasSuffix(name, ".counter"):
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return sum.New()
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case strings.HasSuffix(name, ".disabled"):
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return nil
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default:
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return array.New()
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}
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}
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func (cb *correctnessBatcher) CheckpointSet() export.CheckpointSet {
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cb.t.Fatal("Should not be called")
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return nil
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}
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func (*correctnessBatcher) FinishedCollection() {
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}
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func (cb *correctnessBatcher) Process(_ context.Context, record export.Record) error {
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cb.records = append(cb.records, record)
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return nil
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}
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func TestInputRangeTestCounter(t *testing.T) {
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ctx := context.Background()
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batcher := &correctnessBatcher{
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t: t,
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}
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sdk := metricsdk.New(batcher)
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meter := metric.WrapMeterImpl(sdk, "test")
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var sdkErr error
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sdk.SetErrorHandler(func(handleErr error) {
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sdkErr = handleErr
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})
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counter := Must(meter).NewInt64Counter("name.counter")
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counter.Add(ctx, -1)
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require.Equal(t, aggregator.ErrNegativeInput, sdkErr)
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sdkErr = nil
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checkpointed := sdk.Collect(ctx)
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sum, err := batcher.records[0].Aggregator().(aggregator.Sum).Sum()
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require.Equal(t, int64(0), sum.AsInt64())
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require.Equal(t, 1, checkpointed)
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require.Nil(t, err)
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batcher.records = nil
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counter.Add(ctx, 1)
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checkpointed = sdk.Collect(ctx)
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sum, err = batcher.records[0].Aggregator().(aggregator.Sum).Sum()
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require.Equal(t, int64(1), sum.AsInt64())
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require.Equal(t, 1, checkpointed)
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require.Nil(t, err)
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require.Nil(t, sdkErr)
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}
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func TestInputRangeTestMeasure(t *testing.T) {
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ctx := context.Background()
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batcher := &correctnessBatcher{
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t: t,
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}
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sdk := metricsdk.New(batcher)
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meter := metric.WrapMeterImpl(sdk, "test")
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var sdkErr error
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sdk.SetErrorHandler(func(handleErr error) {
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sdkErr = handleErr
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})
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measure := Must(meter).NewFloat64Measure("name.measure")
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measure.Record(ctx, math.NaN())
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require.Equal(t, aggregator.ErrNaNInput, sdkErr)
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sdkErr = nil
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checkpointed := sdk.Collect(ctx)
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count, err := batcher.records[0].Aggregator().(aggregator.Distribution).Count()
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require.Equal(t, int64(0), count)
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require.Equal(t, 1, checkpointed)
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require.Nil(t, err)
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measure.Record(ctx, 1)
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measure.Record(ctx, 2)
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batcher.records = nil
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checkpointed = sdk.Collect(ctx)
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count, err = batcher.records[0].Aggregator().(aggregator.Distribution).Count()
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require.Equal(t, int64(2), count)
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require.Equal(t, 1, checkpointed)
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require.Nil(t, sdkErr)
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require.Nil(t, err)
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}
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func TestDisabledInstrument(t *testing.T) {
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ctx := context.Background()
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batcher := &correctnessBatcher{
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t: t,
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}
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sdk := metricsdk.New(batcher)
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meter := metric.WrapMeterImpl(sdk, "test")
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measure := Must(meter).NewFloat64Measure("name.disabled")
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measure.Record(ctx, -1)
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checkpointed := sdk.Collect(ctx)
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require.Equal(t, 0, checkpointed)
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require.Equal(t, 0, len(batcher.records))
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}
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func TestRecordNaN(t *testing.T) {
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ctx := context.Background()
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batcher := &correctnessBatcher{
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t: t,
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}
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sdk := metricsdk.New(batcher)
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meter := metric.WrapMeterImpl(sdk, "test")
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var sdkErr error
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sdk.SetErrorHandler(func(handleErr error) {
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sdkErr = handleErr
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})
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c := Must(meter).NewFloat64Counter("sum.name")
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require.Nil(t, sdkErr)
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c.Add(ctx, math.NaN())
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require.Error(t, sdkErr)
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}
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func TestSDKLabelsDeduplication(t *testing.T) {
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ctx := context.Background()
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batcher := &correctnessBatcher{
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t: t,
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}
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sdk := metricsdk.New(batcher)
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meter := metric.WrapMeterImpl(sdk, "test")
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counter := Must(meter).NewInt64Counter("counter")
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const (
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maxKeys = 21
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keySets = 2
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repeats = 3
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)
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var keysA []core.Key
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var keysB []core.Key
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for i := 0; i < maxKeys; i++ {
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keysA = append(keysA, core.Key(fmt.Sprintf("A%03d", i)))
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keysB = append(keysB, core.Key(fmt.Sprintf("B%03d", i)))
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}
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var allExpect [][]core.KeyValue
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for numKeys := 0; numKeys < maxKeys; numKeys++ {
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var kvsA []core.KeyValue
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var kvsB []core.KeyValue
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for r := 0; r < repeats; r++ {
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for i := 0; i < numKeys; i++ {
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kvsA = append(kvsA, keysA[i].Int(r))
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kvsB = append(kvsB, keysB[i].Int(r))
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}
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}
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var expectA []core.KeyValue
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var expectB []core.KeyValue
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for i := 0; i < numKeys; i++ {
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expectA = append(expectA, keysA[i].Int(repeats-1))
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expectB = append(expectB, keysB[i].Int(repeats-1))
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}
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counter.Add(ctx, 1, kvsA...)
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counter.Add(ctx, 1, kvsA...)
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allExpect = append(allExpect, expectA)
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if numKeys != 0 {
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// In this case A and B sets are the same.
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counter.Add(ctx, 1, kvsB...)
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counter.Add(ctx, 1, kvsB...)
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allExpect = append(allExpect, expectB)
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}
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}
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sdk.Collect(ctx)
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var actual [][]core.KeyValue
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for _, rec := range batcher.records {
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sum, _ := rec.Aggregator().(aggregator.Sum).Sum()
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require.Equal(t, sum, core.NewInt64Number(2))
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kvs := export.IteratorToSlice(rec.Labels().Iter())
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actual = append(actual, kvs)
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}
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require.ElementsMatch(t, allExpect, actual)
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}
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func TestDefaultLabelEncoder(t *testing.T) {
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encoder := export.NewDefaultLabelEncoder()
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encoded := encoder.Encode(export.LabelSlice([]core.KeyValue{key.String("A", "B"), key.String("C", "D")}).Iter())
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require.Equal(t, `A=B,C=D`, encoded)
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encoded = encoder.Encode(export.LabelSlice([]core.KeyValue{key.String("A", "B,c=d"), key.String(`C\`, "D")}).Iter())
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require.Equal(t, `A=B\,c\=d,C\\=D`, encoded)
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encoded = encoder.Encode(export.LabelSlice([]core.KeyValue{key.String(`\`, `=`), key.String(`,`, `\`)}).Iter())
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require.Equal(t, `\\=\=,\,=\\`, encoded)
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// Note: the label encoder does not sort or de-dup values,
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// that is done in Labels(...).
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encoded = encoder.Encode(export.LabelSlice([]core.KeyValue{
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key.Int("I", 1),
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key.Uint("U", 1),
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key.Int32("I32", 1),
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key.Uint32("U32", 1),
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key.Int64("I64", 1),
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key.Uint64("U64", 1),
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key.Float64("F64", 1),
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key.Float64("F64", 1),
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key.String("S", "1"),
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key.Bool("B", true),
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}).Iter())
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require.Equal(t, "I=1,U=1,I32=1,U32=1,I64=1,U64=1,F64=1,F64=1,S=1,B=true", encoded)
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}
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func TestObserverCollection(t *testing.T) {
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ctx := context.Background()
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batcher := &correctnessBatcher{
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t: t,
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}
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sdk := metricsdk.New(batcher)
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meter := metric.WrapMeterImpl(sdk, "test")
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_ = Must(meter).RegisterFloat64Observer("float.observer", func(result metric.Float64ObserverResult) {
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result.Observe(1, key.String("A", "B"))
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// last value wins
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result.Observe(-1, key.String("A", "B"))
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result.Observe(-1, key.String("C", "D"))
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})
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_ = Must(meter).RegisterInt64Observer("int.observer", func(result metric.Int64ObserverResult) {
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result.Observe(-1, key.String("A", "B"))
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result.Observe(1)
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// last value wins
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result.Observe(1, key.String("A", "B"))
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result.Observe(1)
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})
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_ = Must(meter).RegisterInt64Observer("empty.observer", func(result metric.Int64ObserverResult) {
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})
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collected := sdk.Collect(ctx)
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require.Equal(t, 4, collected)
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require.Equal(t, 4, len(batcher.records))
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out := batchTest.NewOutput(export.NewDefaultLabelEncoder())
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for _, rec := range batcher.records {
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_ = out.AddTo(rec)
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}
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require.EqualValues(t, map[string]float64{
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"float.observer/A=B": -1,
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"float.observer/C=D": -1,
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"int.observer/": 1,
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"int.observer/A=B": 1,
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}, out.Map)
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}
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func TestRecordBatch(t *testing.T) {
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ctx := context.Background()
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batcher := &correctnessBatcher{
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t: t,
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}
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sdk := metricsdk.New(batcher)
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meter := metric.WrapMeterImpl(sdk, "test")
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counter1 := Must(meter).NewInt64Counter("int64.counter")
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counter2 := Must(meter).NewFloat64Counter("float64.counter")
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measure1 := Must(meter).NewInt64Measure("int64.measure")
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measure2 := Must(meter).NewFloat64Measure("float64.measure")
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sdk.RecordBatch(
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ctx,
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[]core.KeyValue{
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key.String("A", "B"),
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key.String("C", "D"),
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},
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counter1.Measurement(1),
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counter2.Measurement(2),
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measure1.Measurement(3),
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measure2.Measurement(4),
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)
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sdk.Collect(ctx)
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out := batchTest.NewOutput(export.NewDefaultLabelEncoder())
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for _, rec := range batcher.records {
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_ = out.AddTo(rec)
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}
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require.EqualValues(t, map[string]float64{
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"int64.counter/A=B,C=D": 1,
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"float64.counter/A=B,C=D": 2,
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"int64.measure/A=B,C=D": 3,
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"float64.measure/A=B,C=D": 4,
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}, out.Map)
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}
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