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424 lines
12 KiB
Go
424 lines
12 KiB
Go
// Copyright 2019, OpenCensus 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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//
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package view
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import (
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"context"
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"testing"
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"time"
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"encoding/json"
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"github.com/google/go-cmp/cmp"
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"go.opencensus.io/metric/metricdata"
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"go.opencensus.io/stats"
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"go.opencensus.io/tag"
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)
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type recordValWithTag struct {
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tags []tag.Tag
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value interface{}
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}
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type testToMetrics struct {
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vi *viewInternal
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view *View
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recordValue []recordValWithTag
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wantMetric *metricdata.Metric
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}
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var (
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// tag objects.
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tk1 tag.Key
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tk2 tag.Key
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tk3 tag.Key
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tk1v1 tag.Tag
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tk1v2 tag.Tag
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tk2v2 tag.Tag
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tk3v3 tag.Tag
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tags []tag.Tag
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labelValues []metricdata.LabelValue
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labelKeys []string
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recordsInt64 []recordValWithTag
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recordsFloat64 []recordValWithTag
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// distribution objects.
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aggDist *Aggregation
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aggCnt *Aggregation
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aggS *Aggregation
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aggL *Aggregation
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buckOpt *metricdata.BucketOptions
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// exemplar objects.
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attachments metricdata.Attachments
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// views and descriptors
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viewTypeFloat64Distribution *View
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viewTypeInt64Distribution *View
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viewTypeInt64Count *View
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viewTypeFloat64Count *View
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viewTypeFloat64Sum *View
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viewTypeInt64Sum *View
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viewTypeFloat64LastValue *View
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viewTypeInt64LastValue *View
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mdTypeFloat64CumulativeDistribution metricdata.Descriptor
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mdTypeInt64CumulativeDistribution metricdata.Descriptor
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mdTypeInt64CumulativeCount metricdata.Descriptor
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mdTypeFloat64CumulativeCount metricdata.Descriptor
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mdTypeInt64CumulativeSum metricdata.Descriptor
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mdTypeFloat64CumulativeSum metricdata.Descriptor
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mdTypeInt64CumulativeLastValue metricdata.Descriptor
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mdTypeFloat64CumulativeLastValue metricdata.Descriptor
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)
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const (
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nameInt64DistM1 = "viewToMetricTest_Int64_Distribution/m1"
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nameFloat64DistM1 = "viewToMetricTest_Float64_Distribution/m1"
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nameInt64CountM1 = "viewToMetricTest_Int64_Count/m1"
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nameFloat64CountM1 = "viewToMetricTest_Float64_Count/m1"
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nameInt64SumM1 = "viewToMetricTest_Int64_Sum/m1"
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nameFloat64SumM1 = "viewToMetricTest_Float64_Sum/m1"
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nameInt64LastValueM1 = "viewToMetricTest_Int64_LastValue/m1"
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nameFloat64LastValueM1 = "viewToMetricTest_Float64_LastValue/m1"
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v1 = "v1"
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v2 = "v2"
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v3 = "v3"
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)
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func init() {
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initTags()
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initAgg()
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initViews()
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initMetricDescriptors()
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}
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func initTags() {
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tk1, _ = tag.NewKey("k1")
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tk2, _ = tag.NewKey("k2")
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tk3, _ = tag.NewKey("k3")
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tk1v1 = tag.Tag{Key: tk1, Value: v1}
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tk1v2 = tag.Tag{Key: tk1, Value: v2}
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tk2v2 = tag.Tag{Key: tk2, Value: v2}
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tk3v3 = tag.Tag{Key: tk3, Value: v3}
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tags = []tag.Tag{tk1v1, tk2v2}
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labelValues = []metricdata.LabelValue{
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{Value: v1, Present: true},
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{Value: v2, Present: true},
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}
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labelKeys = []string{tk1.Name(), tk2.Name()}
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recordsInt64 = []recordValWithTag{
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{tags: tags, value: int64(2)},
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{tags: tags, value: int64(4)},
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}
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recordsFloat64 = []recordValWithTag{
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{tags: tags, value: float64(1.5)},
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{tags: tags, value: float64(5.4)},
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}
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}
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func initAgg() {
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aggDist = Distribution(2.0)
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aggCnt = Count()
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aggS = Sum()
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aggL = LastValue()
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buckOpt = &metricdata.BucketOptions{Bounds: []float64{2.0}}
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}
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func initViews() {
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// View objects
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viewTypeInt64Distribution = &View{
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Name: nameInt64DistM1,
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TagKeys: []tag.Key{tk1, tk2},
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Measure: stats.Int64(nameInt64DistM1, "", stats.UnitDimensionless),
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Aggregation: aggDist,
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}
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viewTypeFloat64Distribution = &View{
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Name: nameFloat64DistM1,
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TagKeys: []tag.Key{tk1, tk2},
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Measure: stats.Float64(nameFloat64DistM1, "", stats.UnitDimensionless),
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Aggregation: aggDist,
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}
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viewTypeInt64Count = &View{
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Name: nameInt64CountM1,
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TagKeys: []tag.Key{tk1, tk2},
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Measure: stats.Int64(nameInt64CountM1, "", stats.UnitDimensionless),
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Aggregation: aggCnt,
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}
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viewTypeFloat64Count = &View{
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Name: nameFloat64CountM1,
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TagKeys: []tag.Key{tk1, tk2},
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Measure: stats.Float64(nameFloat64CountM1, "", stats.UnitDimensionless),
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Aggregation: aggCnt,
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}
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viewTypeInt64Sum = &View{
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Name: nameInt64SumM1,
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TagKeys: []tag.Key{tk1, tk2},
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Measure: stats.Int64(nameInt64SumM1, "", stats.UnitBytes),
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Aggregation: aggS,
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}
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viewTypeFloat64Sum = &View{
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Name: nameFloat64SumM1,
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TagKeys: []tag.Key{tk1, tk2},
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Measure: stats.Float64(nameFloat64SumM1, "", stats.UnitMilliseconds),
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Aggregation: aggS,
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}
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viewTypeInt64LastValue = &View{
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Name: nameInt64LastValueM1,
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TagKeys: []tag.Key{tk1, tk2},
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Measure: stats.Int64(nameInt64LastValueM1, "", stats.UnitDimensionless),
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Aggregation: aggL,
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}
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viewTypeFloat64LastValue = &View{
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Name: nameFloat64LastValueM1,
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TagKeys: []tag.Key{tk1, tk2},
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Measure: stats.Float64(nameFloat64LastValueM1, "", stats.UnitDimensionless),
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Aggregation: aggL,
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}
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}
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func initMetricDescriptors() {
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// Metric objects
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mdTypeFloat64CumulativeDistribution = metricdata.Descriptor{
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Name: nameFloat64DistM1, Description: "", Unit: metricdata.UnitDimensionless,
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Type: metricdata.TypeCumulativeDistribution, LabelKeys: labelKeys,
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}
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mdTypeInt64CumulativeDistribution = metricdata.Descriptor{
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Name: nameInt64DistM1, Description: "", Unit: metricdata.UnitDimensionless,
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Type: metricdata.TypeCumulativeDistribution, LabelKeys: labelKeys,
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}
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mdTypeInt64CumulativeCount = metricdata.Descriptor{
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Name: nameInt64CountM1, Description: "", Unit: metricdata.UnitDimensionless,
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Type: metricdata.TypeCumulativeInt64, LabelKeys: labelKeys,
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}
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mdTypeFloat64CumulativeCount = metricdata.Descriptor{
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Name: nameFloat64CountM1, Description: "", Unit: metricdata.UnitDimensionless,
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Type: metricdata.TypeCumulativeInt64, LabelKeys: labelKeys,
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}
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mdTypeInt64CumulativeSum = metricdata.Descriptor{
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Name: nameInt64SumM1, Description: "", Unit: metricdata.UnitBytes,
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Type: metricdata.TypeCumulativeInt64, LabelKeys: labelKeys,
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}
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mdTypeFloat64CumulativeSum = metricdata.Descriptor{
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Name: nameFloat64SumM1, Description: "", Unit: metricdata.UnitMilliseconds,
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Type: metricdata.TypeCumulativeFloat64, LabelKeys: labelKeys,
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}
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mdTypeInt64CumulativeLastValue = metricdata.Descriptor{
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Name: nameInt64LastValueM1, Description: "", Unit: metricdata.UnitDimensionless,
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Type: metricdata.TypeGaugeInt64, LabelKeys: labelKeys,
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}
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mdTypeFloat64CumulativeLastValue = metricdata.Descriptor{
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Name: nameFloat64LastValueM1, Description: "", Unit: metricdata.UnitDimensionless,
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Type: metricdata.TypeGaugeFloat64, LabelKeys: labelKeys,
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}
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}
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func Test_ViewToMetric(t *testing.T) {
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startTime := time.Now().Add(-time.Duration(60 * time.Second))
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now := time.Now()
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tests := []*testToMetrics{
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{
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view: viewTypeInt64Distribution,
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recordValue: recordsInt64,
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wantMetric: &metricdata.Metric{
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Descriptor: mdTypeInt64CumulativeDistribution,
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TimeSeries: []*metricdata.TimeSeries{
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{Points: []metricdata.Point{
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{Value: &metricdata.Distribution{
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Count: 2,
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Sum: 6.0,
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SumOfSquaredDeviation: 2,
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BucketOptions: buckOpt,
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Buckets: []metricdata.Bucket{
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{Count: 0, Exemplar: nil},
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{Count: 2, Exemplar: nil},
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},
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},
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Time: now,
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},
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},
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LabelValues: labelValues,
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StartTime: startTime,
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},
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},
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},
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},
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{
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view: viewTypeFloat64Distribution,
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recordValue: recordsFloat64,
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wantMetric: &metricdata.Metric{
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Descriptor: mdTypeFloat64CumulativeDistribution,
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TimeSeries: []*metricdata.TimeSeries{
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{
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Points: []metricdata.Point{
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{
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Value: &metricdata.Distribution{
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Count: 2,
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Sum: 6.9,
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SumOfSquaredDeviation: 7.605000000000001,
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BucketOptions: buckOpt,
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Buckets: []metricdata.Bucket{
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{Count: 1, Exemplar: nil}, // TODO: [rghetia] add exemplar test.
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{Count: 1, Exemplar: nil},
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},
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},
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Time: now,
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},
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},
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LabelValues: labelValues,
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StartTime: startTime,
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},
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},
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},
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},
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{
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view: viewTypeInt64Count,
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recordValue: recordsInt64,
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wantMetric: &metricdata.Metric{
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Descriptor: mdTypeInt64CumulativeCount,
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TimeSeries: []*metricdata.TimeSeries{
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{Points: []metricdata.Point{
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metricdata.NewInt64Point(now, 2),
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},
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LabelValues: labelValues,
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StartTime: startTime,
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},
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},
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},
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},
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{
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view: viewTypeFloat64Count,
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recordValue: recordsFloat64,
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wantMetric: &metricdata.Metric{
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Descriptor: mdTypeFloat64CumulativeCount,
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TimeSeries: []*metricdata.TimeSeries{
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{Points: []metricdata.Point{
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metricdata.NewInt64Point(now, 2),
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},
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LabelValues: labelValues,
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StartTime: startTime,
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},
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},
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},
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},
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{
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view: viewTypeInt64Sum,
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recordValue: recordsInt64,
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wantMetric: &metricdata.Metric{
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Descriptor: mdTypeInt64CumulativeSum,
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TimeSeries: []*metricdata.TimeSeries{
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{Points: []metricdata.Point{
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metricdata.NewInt64Point(now, 6),
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},
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LabelValues: labelValues,
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StartTime: startTime,
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},
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},
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},
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},
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{
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view: viewTypeFloat64Sum,
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recordValue: recordsFloat64,
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wantMetric: &metricdata.Metric{
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Descriptor: mdTypeFloat64CumulativeSum,
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TimeSeries: []*metricdata.TimeSeries{
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{Points: []metricdata.Point{
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metricdata.NewFloat64Point(now, 6.9),
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},
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LabelValues: labelValues,
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StartTime: startTime,
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},
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},
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},
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},
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{
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view: viewTypeInt64LastValue,
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recordValue: recordsInt64,
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wantMetric: &metricdata.Metric{
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Descriptor: mdTypeInt64CumulativeLastValue,
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TimeSeries: []*metricdata.TimeSeries{
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{Points: []metricdata.Point{
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metricdata.NewInt64Point(now, 4),
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},
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LabelValues: labelValues,
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StartTime: time.Time{},
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},
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},
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},
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},
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{
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view: viewTypeFloat64LastValue,
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recordValue: recordsFloat64,
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wantMetric: &metricdata.Metric{
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Descriptor: mdTypeFloat64CumulativeLastValue,
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TimeSeries: []*metricdata.TimeSeries{
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{Points: []metricdata.Point{
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metricdata.NewFloat64Point(now, 5.4),
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},
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LabelValues: labelValues,
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StartTime: time.Time{},
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},
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},
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},
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},
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}
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wantMetrics := []*metricdata.Metric{}
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for _, tc := range tests {
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tc.vi, _ = defaultWorker.tryRegisterView(tc.view)
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tc.vi.clearRows()
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tc.vi.subscribe()
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wantMetrics = append(wantMetrics, tc.wantMetric)
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}
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for i, tc := range tests {
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for _, r := range tc.recordValue {
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mods := []tag.Mutator{}
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for _, tg := range r.tags {
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mods = append(mods, tag.Insert(tg.Key, tg.Value))
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}
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ctx, err := tag.New(context.Background(), mods...)
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if err != nil {
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t.Errorf("%v: New = %v", tc.view.Name, err)
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}
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var v float64
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switch i := r.value.(type) {
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case float64:
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v = float64(i)
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case int64:
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v = float64(i)
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default:
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t.Errorf("unexpected value type %v", r.tags)
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}
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tc.vi.addSample(tag.FromContext(ctx), v, nil, now)
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}
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gotMetric := viewToMetric(tc.vi, now, startTime)
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if !cmp.Equal(gotMetric, tc.wantMetric) {
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// JSON format is strictly for checking the content when test fails. Do not use JSON
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// format to determine if the two values are same as it doesn't differentiate between
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// int64(2) and float64(2.0)
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t.Errorf("#%d: Unmatched \nGot:\n\t%v\nWant:\n\t%v\nGot Serialized:%s\nWant Serialized:%s\n",
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i, gotMetric, tc.wantMetric, serializeAsJSON(gotMetric), serializeAsJSON(tc.wantMetric))
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}
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}
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}
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func serializeAsJSON(v interface{}) string {
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blob, _ := json.MarshalIndent(v, "", " ")
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return string(blob)
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}
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