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01b8f15a72
* Add Exemplar to metricdata pkg * Update histogram Aggregator * Update opencensus bridge * Update prometheus exporter * Update OTLP exporter * Update stdoutmetric exporter * Add changes to changelog * Update fail tests * Add tests for IgnoreExemplars * Fix merge
562 lines
23 KiB
Go
562 lines
23 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 metricdatatest // import "go.opentelemetry.io/otel/sdk/metric/metricdata/metricdatatest"
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import (
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"testing"
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"time"
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"github.com/stretchr/testify/assert"
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"go.opentelemetry.io/otel/attribute"
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"go.opentelemetry.io/otel/sdk/instrumentation"
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"go.opentelemetry.io/otel/sdk/metric/metricdata"
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"go.opentelemetry.io/otel/sdk/resource"
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)
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var (
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attrA = attribute.NewSet(attribute.Bool("A", true))
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attrB = attribute.NewSet(attribute.Bool("B", true))
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fltrAttrA = []attribute.KeyValue{attribute.Bool("filter A", true)}
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fltrAttrB = []attribute.KeyValue{attribute.Bool("filter B", true)}
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startA = time.Now()
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startB = startA.Add(time.Millisecond)
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endA = startA.Add(time.Second)
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endB = startB.Add(time.Second)
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spanIDA = []byte{0, 0, 0, 0, 0, 0, 0, 1}
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spanIDB = []byte{0, 0, 0, 0, 0, 0, 0, 2}
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traceIDA = []byte{0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1}
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traceIDB = []byte{0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2}
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exemplarInt64A = metricdata.Exemplar[int64]{
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FilteredAttributes: fltrAttrA,
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Time: endA,
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Value: -10,
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SpanID: spanIDA,
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TraceID: traceIDA,
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}
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exemplarFloat64A = metricdata.Exemplar[float64]{
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FilteredAttributes: fltrAttrA,
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Time: endA,
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Value: -10.0,
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SpanID: spanIDA,
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TraceID: traceIDA,
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}
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exemplarInt64B = metricdata.Exemplar[int64]{
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FilteredAttributes: fltrAttrB,
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Time: endB,
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Value: 12,
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SpanID: spanIDB,
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TraceID: traceIDB,
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}
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exemplarFloat64B = metricdata.Exemplar[float64]{
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FilteredAttributes: fltrAttrB,
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Time: endB,
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Value: 12.0,
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SpanID: spanIDB,
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TraceID: traceIDB,
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}
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exemplarInt64C = metricdata.Exemplar[int64]{
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FilteredAttributes: fltrAttrA,
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Time: endB,
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Value: -10,
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SpanID: spanIDA,
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TraceID: traceIDA,
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}
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exemplarFloat64C = metricdata.Exemplar[float64]{
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FilteredAttributes: fltrAttrA,
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Time: endB,
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Value: -10.0,
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SpanID: spanIDA,
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TraceID: traceIDA,
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}
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dataPointInt64A = metricdata.DataPoint[int64]{
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Attributes: attrA,
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StartTime: startA,
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Time: endA,
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Value: -1,
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Exemplars: []metricdata.Exemplar[int64]{exemplarInt64A},
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}
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dataPointFloat64A = metricdata.DataPoint[float64]{
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Attributes: attrA,
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StartTime: startA,
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Time: endA,
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Value: -1.0,
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Exemplars: []metricdata.Exemplar[float64]{exemplarFloat64A},
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}
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dataPointInt64B = metricdata.DataPoint[int64]{
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Attributes: attrB,
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StartTime: startB,
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Time: endB,
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Value: 2,
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Exemplars: []metricdata.Exemplar[int64]{exemplarInt64B},
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}
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dataPointFloat64B = metricdata.DataPoint[float64]{
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Attributes: attrB,
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StartTime: startB,
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Time: endB,
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Value: 2.0,
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Exemplars: []metricdata.Exemplar[float64]{exemplarFloat64B},
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}
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dataPointInt64C = metricdata.DataPoint[int64]{
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Attributes: attrA,
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StartTime: startB,
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Time: endB,
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Value: -1,
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Exemplars: []metricdata.Exemplar[int64]{exemplarInt64C},
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}
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dataPointFloat64C = metricdata.DataPoint[float64]{
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Attributes: attrA,
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StartTime: startB,
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Time: endB,
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Value: -1.0,
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Exemplars: []metricdata.Exemplar[float64]{exemplarFloat64C},
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}
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minA = metricdata.NewExtrema(-1.)
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minB, maxB = metricdata.NewExtrema(3.), metricdata.NewExtrema(99.)
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minC = metricdata.NewExtrema(-1.)
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histogramDataPointInt64A = metricdata.HistogramDataPoint[int64]{
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Attributes: attrA,
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StartTime: startA,
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Time: endA,
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Count: 2,
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Bounds: []float64{0, 10},
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BucketCounts: []uint64{1, 1},
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Min: minA,
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Sum: 2,
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Exemplars: []metricdata.Exemplar[int64]{exemplarInt64A},
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}
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histogramDataPointFloat64A = metricdata.HistogramDataPoint[float64]{
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Attributes: attrA,
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StartTime: startA,
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Time: endA,
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Count: 2,
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Bounds: []float64{0, 10},
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BucketCounts: []uint64{1, 1},
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Min: minA,
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Sum: 2,
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Exemplars: []metricdata.Exemplar[float64]{exemplarFloat64A},
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}
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histogramDataPointInt64B = metricdata.HistogramDataPoint[int64]{
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Attributes: attrB,
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StartTime: startB,
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Time: endB,
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Count: 3,
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Bounds: []float64{0, 10, 100},
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BucketCounts: []uint64{1, 1, 1},
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Max: maxB,
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Min: minB,
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Sum: 3,
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Exemplars: []metricdata.Exemplar[int64]{exemplarInt64B},
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}
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histogramDataPointFloat64B = metricdata.HistogramDataPoint[float64]{
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Attributes: attrB,
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StartTime: startB,
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Time: endB,
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Count: 3,
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Bounds: []float64{0, 10, 100},
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BucketCounts: []uint64{1, 1, 1},
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Max: maxB,
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Min: minB,
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Sum: 3,
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Exemplars: []metricdata.Exemplar[float64]{exemplarFloat64B},
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}
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histogramDataPointInt64C = metricdata.HistogramDataPoint[int64]{
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Attributes: attrA,
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StartTime: startB,
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Time: endB,
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Count: 2,
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Bounds: []float64{0, 10},
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BucketCounts: []uint64{1, 1},
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Min: minC,
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Sum: 2,
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Exemplars: []metricdata.Exemplar[int64]{exemplarInt64C},
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}
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histogramDataPointFloat64C = metricdata.HistogramDataPoint[float64]{
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Attributes: attrA,
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StartTime: startB,
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Time: endB,
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Count: 2,
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Bounds: []float64{0, 10},
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BucketCounts: []uint64{1, 1},
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Min: minC,
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Sum: 2,
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Exemplars: []metricdata.Exemplar[float64]{exemplarFloat64C},
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}
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gaugeInt64A = metricdata.Gauge[int64]{
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DataPoints: []metricdata.DataPoint[int64]{dataPointInt64A},
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}
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gaugeFloat64A = metricdata.Gauge[float64]{
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DataPoints: []metricdata.DataPoint[float64]{dataPointFloat64A},
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}
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gaugeInt64B = metricdata.Gauge[int64]{
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DataPoints: []metricdata.DataPoint[int64]{dataPointInt64B},
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}
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gaugeFloat64B = metricdata.Gauge[float64]{
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DataPoints: []metricdata.DataPoint[float64]{dataPointFloat64B},
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}
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gaugeInt64C = metricdata.Gauge[int64]{
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DataPoints: []metricdata.DataPoint[int64]{dataPointInt64C},
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}
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gaugeFloat64C = metricdata.Gauge[float64]{
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DataPoints: []metricdata.DataPoint[float64]{dataPointFloat64C},
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}
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sumInt64A = metricdata.Sum[int64]{
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Temporality: metricdata.CumulativeTemporality,
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IsMonotonic: true,
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DataPoints: []metricdata.DataPoint[int64]{dataPointInt64A},
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}
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sumFloat64A = metricdata.Sum[float64]{
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Temporality: metricdata.CumulativeTemporality,
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IsMonotonic: true,
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DataPoints: []metricdata.DataPoint[float64]{dataPointFloat64A},
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}
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sumInt64B = metricdata.Sum[int64]{
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Temporality: metricdata.CumulativeTemporality,
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IsMonotonic: true,
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DataPoints: []metricdata.DataPoint[int64]{dataPointInt64B},
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}
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sumFloat64B = metricdata.Sum[float64]{
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Temporality: metricdata.CumulativeTemporality,
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IsMonotonic: true,
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DataPoints: []metricdata.DataPoint[float64]{dataPointFloat64B},
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}
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sumInt64C = metricdata.Sum[int64]{
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Temporality: metricdata.CumulativeTemporality,
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IsMonotonic: true,
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DataPoints: []metricdata.DataPoint[int64]{dataPointInt64C},
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}
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sumFloat64C = metricdata.Sum[float64]{
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Temporality: metricdata.CumulativeTemporality,
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IsMonotonic: true,
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DataPoints: []metricdata.DataPoint[float64]{dataPointFloat64C},
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}
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histogramInt64A = metricdata.Histogram[int64]{
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Temporality: metricdata.CumulativeTemporality,
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DataPoints: []metricdata.HistogramDataPoint[int64]{histogramDataPointInt64A},
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}
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histogramFloat64A = metricdata.Histogram[float64]{
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Temporality: metricdata.CumulativeTemporality,
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DataPoints: []metricdata.HistogramDataPoint[float64]{histogramDataPointFloat64A},
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}
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histogramInt64B = metricdata.Histogram[int64]{
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Temporality: metricdata.DeltaTemporality,
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DataPoints: []metricdata.HistogramDataPoint[int64]{histogramDataPointInt64B},
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}
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histogramFloat64B = metricdata.Histogram[float64]{
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Temporality: metricdata.DeltaTemporality,
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DataPoints: []metricdata.HistogramDataPoint[float64]{histogramDataPointFloat64B},
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}
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histogramInt64C = metricdata.Histogram[int64]{
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Temporality: metricdata.CumulativeTemporality,
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DataPoints: []metricdata.HistogramDataPoint[int64]{histogramDataPointInt64C},
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}
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histogramFloat64C = metricdata.Histogram[float64]{
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Temporality: metricdata.CumulativeTemporality,
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DataPoints: []metricdata.HistogramDataPoint[float64]{histogramDataPointFloat64C},
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}
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metricsA = metricdata.Metrics{
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Name: "A",
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Description: "A desc",
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Unit: "1",
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Data: sumInt64A,
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}
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metricsB = metricdata.Metrics{
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Name: "B",
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Description: "B desc",
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Unit: "By",
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Data: gaugeFloat64B,
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}
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metricsC = metricdata.Metrics{
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Name: "A",
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Description: "A desc",
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Unit: "1",
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Data: sumInt64C,
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}
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scopeMetricsA = metricdata.ScopeMetrics{
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Scope: instrumentation.Scope{Name: "A"},
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Metrics: []metricdata.Metrics{metricsA},
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}
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scopeMetricsB = metricdata.ScopeMetrics{
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Scope: instrumentation.Scope{Name: "B"},
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Metrics: []metricdata.Metrics{metricsB},
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}
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scopeMetricsC = metricdata.ScopeMetrics{
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Scope: instrumentation.Scope{Name: "A"},
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Metrics: []metricdata.Metrics{metricsC},
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}
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resourceMetricsA = metricdata.ResourceMetrics{
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Resource: resource.NewSchemaless(attribute.String("resource", "A")),
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ScopeMetrics: []metricdata.ScopeMetrics{scopeMetricsA},
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}
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resourceMetricsB = metricdata.ResourceMetrics{
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Resource: resource.NewSchemaless(attribute.String("resource", "B")),
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ScopeMetrics: []metricdata.ScopeMetrics{scopeMetricsB},
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}
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resourceMetricsC = metricdata.ResourceMetrics{
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Resource: resource.NewSchemaless(attribute.String("resource", "A")),
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ScopeMetrics: []metricdata.ScopeMetrics{scopeMetricsC},
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}
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)
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type equalFunc[T Datatypes] func(T, T, config) []string
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func testDatatype[T Datatypes](a, b T, f equalFunc[T]) func(*testing.T) {
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return func(t *testing.T) {
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AssertEqual(t, a, a)
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AssertEqual(t, b, b)
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r := f(a, b, newConfig(nil))
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assert.Greaterf(t, len(r), 0, "%v == %v", a, b)
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}
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}
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func testDatatypeIgnoreTime[T Datatypes](a, b T, f equalFunc[T]) func(*testing.T) {
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return func(t *testing.T) {
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AssertEqual(t, a, a)
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AssertEqual(t, b, b)
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c := newConfig([]Option{IgnoreTimestamp()})
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r := f(a, b, c)
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assert.Len(t, r, 0, "unexpected inequality")
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}
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}
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func testDatatypeIgnoreExemplars[T Datatypes](a, b T, f equalFunc[T]) func(*testing.T) {
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return func(t *testing.T) {
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AssertEqual(t, a, a)
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AssertEqual(t, b, b)
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c := newConfig([]Option{IgnoreExemplars()})
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r := f(a, b, c)
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assert.Len(t, r, 0, "unexpected inequality")
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}
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}
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func TestAssertEqual(t *testing.T) {
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t.Run("ResourceMetrics", testDatatype(resourceMetricsA, resourceMetricsB, equalResourceMetrics))
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t.Run("ScopeMetrics", testDatatype(scopeMetricsA, scopeMetricsB, equalScopeMetrics))
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t.Run("Metrics", testDatatype(metricsA, metricsB, equalMetrics))
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t.Run("HistogramInt64", testDatatype(histogramInt64A, histogramInt64B, equalHistograms[int64]))
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t.Run("HistogramFloat64", testDatatype(histogramFloat64A, histogramFloat64B, equalHistograms[float64]))
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t.Run("SumInt64", testDatatype(sumInt64A, sumInt64B, equalSums[int64]))
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t.Run("SumFloat64", testDatatype(sumFloat64A, sumFloat64B, equalSums[float64]))
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t.Run("GaugeInt64", testDatatype(gaugeInt64A, gaugeInt64B, equalGauges[int64]))
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t.Run("GaugeFloat64", testDatatype(gaugeFloat64A, gaugeFloat64B, equalGauges[float64]))
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t.Run("HistogramDataPointInt64", testDatatype(histogramDataPointInt64A, histogramDataPointInt64B, equalHistogramDataPoints[int64]))
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t.Run("HistogramDataPointFloat64", testDatatype(histogramDataPointFloat64A, histogramDataPointFloat64B, equalHistogramDataPoints[float64]))
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t.Run("DataPointInt64", testDatatype(dataPointInt64A, dataPointInt64B, equalDataPoints[int64]))
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t.Run("DataPointFloat64", testDatatype(dataPointFloat64A, dataPointFloat64B, equalDataPoints[float64]))
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t.Run("Extrema", testDatatype(minA, minB, equalExtrema))
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t.Run("ExemplarInt64", testDatatype(exemplarInt64A, exemplarInt64B, equalExemplars[int64]))
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t.Run("ExemplarFloat64", testDatatype(exemplarFloat64A, exemplarFloat64B, equalExemplars[float64]))
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}
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func TestAssertEqualIgnoreTime(t *testing.T) {
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t.Run("ResourceMetrics", testDatatypeIgnoreTime(resourceMetricsA, resourceMetricsC, equalResourceMetrics))
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t.Run("ScopeMetrics", testDatatypeIgnoreTime(scopeMetricsA, scopeMetricsC, equalScopeMetrics))
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t.Run("Metrics", testDatatypeIgnoreTime(metricsA, metricsC, equalMetrics))
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t.Run("HistogramInt64", testDatatypeIgnoreTime(histogramInt64A, histogramInt64C, equalHistograms[int64]))
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t.Run("HistogramFloat64", testDatatypeIgnoreTime(histogramFloat64A, histogramFloat64C, equalHistograms[float64]))
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t.Run("SumInt64", testDatatypeIgnoreTime(sumInt64A, sumInt64C, equalSums[int64]))
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t.Run("SumFloat64", testDatatypeIgnoreTime(sumFloat64A, sumFloat64C, equalSums[float64]))
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t.Run("GaugeInt64", testDatatypeIgnoreTime(gaugeInt64A, gaugeInt64C, equalGauges[int64]))
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t.Run("GaugeFloat64", testDatatypeIgnoreTime(gaugeFloat64A, gaugeFloat64C, equalGauges[float64]))
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t.Run("HistogramDataPointInt64", testDatatypeIgnoreTime(histogramDataPointInt64A, histogramDataPointInt64C, equalHistogramDataPoints[int64]))
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t.Run("HistogramDataPointFloat64", testDatatypeIgnoreTime(histogramDataPointFloat64A, histogramDataPointFloat64C, equalHistogramDataPoints[float64]))
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t.Run("DataPointInt64", testDatatypeIgnoreTime(dataPointInt64A, dataPointInt64C, equalDataPoints[int64]))
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t.Run("DataPointFloat64", testDatatypeIgnoreTime(dataPointFloat64A, dataPointFloat64C, equalDataPoints[float64]))
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t.Run("Extrema", testDatatypeIgnoreTime(minA, minC, equalExtrema))
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t.Run("ExemplarInt64", testDatatypeIgnoreTime(exemplarInt64A, exemplarInt64C, equalExemplars[int64]))
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t.Run("ExemplarFloat64", testDatatypeIgnoreTime(exemplarFloat64A, exemplarFloat64C, equalExemplars[float64]))
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}
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func TestAssertEqualIgnoreExemplars(t *testing.T) {
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hdpInt64 := histogramDataPointInt64A
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hdpInt64.Exemplars = []metricdata.Exemplar[int64]{exemplarInt64B}
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t.Run("HistogramDataPointInt64", testDatatypeIgnoreExemplars(histogramDataPointInt64A, hdpInt64, equalHistogramDataPoints[int64]))
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hdpFloat64 := histogramDataPointFloat64A
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hdpFloat64.Exemplars = []metricdata.Exemplar[float64]{exemplarFloat64B}
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t.Run("HistogramDataPointFloat64", testDatatypeIgnoreExemplars(histogramDataPointFloat64A, hdpFloat64, equalHistogramDataPoints[float64]))
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dpInt64 := dataPointInt64A
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dpInt64.Exemplars = []metricdata.Exemplar[int64]{exemplarInt64B}
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t.Run("DataPointInt64", testDatatypeIgnoreExemplars(dataPointInt64A, dpInt64, equalDataPoints[int64]))
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dpFloat64 := dataPointFloat64A
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dpFloat64.Exemplars = []metricdata.Exemplar[float64]{exemplarFloat64B}
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t.Run("DataPointFloat64", testDatatypeIgnoreExemplars(dataPointFloat64A, dpFloat64, equalDataPoints[float64]))
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}
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type unknownAggregation struct {
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metricdata.Aggregation
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}
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func TestAssertAggregationsEqual(t *testing.T) {
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AssertAggregationsEqual(t, nil, nil)
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AssertAggregationsEqual(t, sumInt64A, sumInt64A)
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AssertAggregationsEqual(t, sumFloat64A, sumFloat64A)
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AssertAggregationsEqual(t, gaugeInt64A, gaugeInt64A)
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AssertAggregationsEqual(t, gaugeFloat64A, gaugeFloat64A)
|
|
AssertAggregationsEqual(t, histogramInt64A, histogramInt64A)
|
|
AssertAggregationsEqual(t, histogramFloat64A, histogramFloat64A)
|
|
|
|
r := equalAggregations(sumInt64A, nil, config{})
|
|
assert.Len(t, r, 1, "should return nil comparison mismatch only")
|
|
|
|
r = equalAggregations(sumInt64A, gaugeInt64A, config{})
|
|
assert.Len(t, r, 1, "should return with type mismatch only")
|
|
|
|
r = equalAggregations(unknownAggregation{}, unknownAggregation{}, config{})
|
|
assert.Len(t, r, 1, "should return with unknown aggregation only")
|
|
|
|
r = equalAggregations(sumInt64A, sumInt64B, config{})
|
|
assert.Greaterf(t, len(r), 0, "sums should not be equal: %v == %v", sumInt64A, sumInt64B)
|
|
|
|
r = equalAggregations(sumInt64A, sumInt64C, config{ignoreTimestamp: true})
|
|
assert.Len(t, r, 0, "sums should be equal: %v", r)
|
|
|
|
r = equalAggregations(sumFloat64A, sumFloat64B, config{})
|
|
assert.Greaterf(t, len(r), 0, "sums should not be equal: %v == %v", sumFloat64A, sumFloat64B)
|
|
|
|
r = equalAggregations(sumFloat64A, sumFloat64C, config{ignoreTimestamp: true})
|
|
assert.Len(t, r, 0, "sums should be equal: %v", r)
|
|
|
|
r = equalAggregations(gaugeInt64A, gaugeInt64B, config{})
|
|
assert.Greaterf(t, len(r), 0, "gauges should not be equal: %v == %v", gaugeInt64A, gaugeInt64B)
|
|
|
|
r = equalAggregations(gaugeInt64A, gaugeInt64C, config{ignoreTimestamp: true})
|
|
assert.Len(t, r, 0, "gauges should be equal: %v", r)
|
|
|
|
r = equalAggregations(gaugeFloat64A, gaugeFloat64B, config{})
|
|
assert.Greaterf(t, len(r), 0, "gauges should not be equal: %v == %v", gaugeFloat64A, gaugeFloat64B)
|
|
|
|
r = equalAggregations(gaugeFloat64A, gaugeFloat64C, config{ignoreTimestamp: true})
|
|
assert.Len(t, r, 0, "gauges should be equal: %v", r)
|
|
|
|
r = equalAggregations(histogramInt64A, histogramInt64B, config{})
|
|
assert.Greaterf(t, len(r), 0, "histograms should not be equal: %v == %v", histogramInt64A, histogramInt64B)
|
|
|
|
r = equalAggregations(histogramInt64A, histogramInt64C, config{ignoreTimestamp: true})
|
|
assert.Len(t, r, 0, "histograms should be equal: %v", r)
|
|
|
|
r = equalAggregations(histogramFloat64A, histogramFloat64B, config{})
|
|
assert.Greaterf(t, len(r), 0, "histograms should not be equal: %v == %v", histogramFloat64A, histogramFloat64B)
|
|
|
|
r = equalAggregations(histogramFloat64A, histogramFloat64C, config{ignoreTimestamp: true})
|
|
assert.Len(t, r, 0, "histograms should be equal: %v", r)
|
|
}
|
|
|
|
func TestAssertAttributes(t *testing.T) {
|
|
AssertHasAttributes(t, minA, attribute.Bool("A", true)) // No-op, always pass.
|
|
AssertHasAttributes(t, exemplarInt64A, attribute.Bool("filter A", true))
|
|
AssertHasAttributes(t, exemplarFloat64A, attribute.Bool("filter A", true))
|
|
AssertHasAttributes(t, dataPointInt64A, attribute.Bool("A", true))
|
|
AssertHasAttributes(t, dataPointFloat64A, attribute.Bool("A", true))
|
|
AssertHasAttributes(t, gaugeInt64A, attribute.Bool("A", true))
|
|
AssertHasAttributes(t, gaugeFloat64A, attribute.Bool("A", true))
|
|
AssertHasAttributes(t, sumInt64A, attribute.Bool("A", true))
|
|
AssertHasAttributes(t, sumFloat64A, attribute.Bool("A", true))
|
|
AssertHasAttributes(t, histogramDataPointInt64A, attribute.Bool("A", true))
|
|
AssertHasAttributes(t, histogramDataPointFloat64A, attribute.Bool("A", true))
|
|
AssertHasAttributes(t, histogramInt64A, attribute.Bool("A", true))
|
|
AssertHasAttributes(t, histogramFloat64A, attribute.Bool("A", true))
|
|
AssertHasAttributes(t, metricsA, attribute.Bool("A", true))
|
|
AssertHasAttributes(t, scopeMetricsA, attribute.Bool("A", true))
|
|
AssertHasAttributes(t, resourceMetricsA, attribute.Bool("A", true))
|
|
|
|
r := hasAttributesAggregation(gaugeInt64A, attribute.Bool("A", true))
|
|
assert.Equal(t, len(r), 0, "gaugeInt64A has A=True")
|
|
r = hasAttributesAggregation(gaugeFloat64A, attribute.Bool("A", true))
|
|
assert.Equal(t, len(r), 0, "gaugeFloat64A has A=True")
|
|
r = hasAttributesAggregation(sumInt64A, attribute.Bool("A", true))
|
|
assert.Equal(t, len(r), 0, "sumInt64A has A=True")
|
|
r = hasAttributesAggregation(sumFloat64A, attribute.Bool("A", true))
|
|
assert.Equal(t, len(r), 0, "sumFloat64A has A=True")
|
|
r = hasAttributesAggregation(histogramInt64A, attribute.Bool("A", true))
|
|
assert.Equal(t, len(r), 0, "histogramInt64A has A=True")
|
|
r = hasAttributesAggregation(histogramFloat64A, attribute.Bool("A", true))
|
|
assert.Equal(t, len(r), 0, "histogramFloat64A has A=True")
|
|
|
|
r = hasAttributesAggregation(gaugeInt64A, attribute.Bool("A", false))
|
|
assert.Greater(t, len(r), 0, "gaugeInt64A does not have A=False")
|
|
r = hasAttributesAggregation(gaugeFloat64A, attribute.Bool("A", false))
|
|
assert.Greater(t, len(r), 0, "gaugeFloat64A does not have A=False")
|
|
r = hasAttributesAggregation(sumInt64A, attribute.Bool("A", false))
|
|
assert.Greater(t, len(r), 0, "sumInt64A does not have A=False")
|
|
r = hasAttributesAggregation(sumFloat64A, attribute.Bool("A", false))
|
|
assert.Greater(t, len(r), 0, "sumFloat64A does not have A=False")
|
|
r = hasAttributesAggregation(histogramInt64A, attribute.Bool("A", false))
|
|
assert.Greater(t, len(r), 0, "histogramInt64A does not have A=False")
|
|
r = hasAttributesAggregation(histogramFloat64A, attribute.Bool("A", false))
|
|
assert.Greater(t, len(r), 0, "histogramFloat64A does not have A=False")
|
|
|
|
r = hasAttributesAggregation(gaugeInt64A, attribute.Bool("B", true))
|
|
assert.Greater(t, len(r), 0, "gaugeInt64A does not have Attribute B")
|
|
r = hasAttributesAggregation(gaugeFloat64A, attribute.Bool("B", true))
|
|
assert.Greater(t, len(r), 0, "gaugeFloat64A does not have Attribute B")
|
|
r = hasAttributesAggregation(sumInt64A, attribute.Bool("B", true))
|
|
assert.Greater(t, len(r), 0, "sumInt64A does not have Attribute B")
|
|
r = hasAttributesAggregation(sumFloat64A, attribute.Bool("B", true))
|
|
assert.Greater(t, len(r), 0, "sumFloat64A does not have Attribute B")
|
|
r = hasAttributesAggregation(histogramInt64A, attribute.Bool("B", true))
|
|
assert.Greater(t, len(r), 0, "histogramIntA does not have Attribute B")
|
|
r = hasAttributesAggregation(histogramFloat64A, attribute.Bool("B", true))
|
|
assert.Greater(t, len(r), 0, "histogramFloatA does not have Attribute B")
|
|
}
|
|
|
|
func TestAssertAttributesFail(t *testing.T) {
|
|
fakeT := &testing.T{}
|
|
assert.False(t, AssertHasAttributes(fakeT, dataPointInt64A, attribute.Bool("A", false)))
|
|
assert.False(t, AssertHasAttributes(fakeT, dataPointFloat64A, attribute.Bool("B", true)))
|
|
assert.False(t, AssertHasAttributes(fakeT, exemplarInt64A, attribute.Bool("A", false)))
|
|
assert.False(t, AssertHasAttributes(fakeT, exemplarFloat64A, attribute.Bool("B", true)))
|
|
assert.False(t, AssertHasAttributes(fakeT, gaugeInt64A, attribute.Bool("A", false)))
|
|
assert.False(t, AssertHasAttributes(fakeT, gaugeFloat64A, attribute.Bool("B", true)))
|
|
assert.False(t, AssertHasAttributes(fakeT, sumInt64A, attribute.Bool("A", false)))
|
|
assert.False(t, AssertHasAttributes(fakeT, sumFloat64A, attribute.Bool("B", true)))
|
|
assert.False(t, AssertHasAttributes(fakeT, histogramDataPointInt64A, attribute.Bool("A", false)))
|
|
assert.False(t, AssertHasAttributes(fakeT, histogramDataPointFloat64A, attribute.Bool("B", true)))
|
|
assert.False(t, AssertHasAttributes(fakeT, histogramInt64A, attribute.Bool("A", false)))
|
|
assert.False(t, AssertHasAttributes(fakeT, histogramFloat64A, attribute.Bool("B", true)))
|
|
assert.False(t, AssertHasAttributes(fakeT, metricsA, attribute.Bool("A", false)))
|
|
assert.False(t, AssertHasAttributes(fakeT, metricsA, attribute.Bool("B", true)))
|
|
assert.False(t, AssertHasAttributes(fakeT, resourceMetricsA, attribute.Bool("A", false)))
|
|
assert.False(t, AssertHasAttributes(fakeT, resourceMetricsA, attribute.Bool("B", true)))
|
|
|
|
sum := metricdata.Sum[int64]{
|
|
Temporality: metricdata.CumulativeTemporality,
|
|
IsMonotonic: true,
|
|
DataPoints: []metricdata.DataPoint[int64]{
|
|
dataPointInt64A,
|
|
dataPointInt64B,
|
|
},
|
|
}
|
|
assert.False(t, AssertHasAttributes(fakeT, sum, attribute.Bool("A", true)))
|
|
}
|