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| 1 | +// Copyright 2018, OpenCensus Authors |
| 2 | +// |
| 3 | +// Licensed under the Apache License, Version 2.0 (the "License"); |
| 4 | +// you may not use this file except in compliance with the License. |
| 5 | +// You may obtain a copy of the License at |
| 6 | +// |
| 7 | +// http://www.apache.org/licenses/LICENSE-2.0 |
| 8 | +// |
| 9 | +// Unless required by applicable law or agreed to in writing, software |
| 10 | +// distributed under the License is distributed on an "AS IS" BASIS, |
| 11 | +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| 12 | +// See the License for the specific language governing permissions and |
| 13 | +// limitations under the License. |
| 14 | + |
| 15 | +package ocagent |
| 16 | + |
| 17 | +import ( |
| 18 | + "errors" |
| 19 | + "time" |
| 20 | + |
| 21 | + "go.opencensus.io/exemplar" |
| 22 | + "go.opencensus.io/stats" |
| 23 | + "go.opencensus.io/stats/view" |
| 24 | + "go.opencensus.io/tag" |
| 25 | + |
| 26 | + "github.com/golang/protobuf/ptypes/timestamp" |
| 27 | + |
| 28 | + metricspb "github.com/census-instrumentation/opencensus-proto/gen-go/metrics/v1" |
| 29 | +) |
| 30 | + |
| 31 | +var ( |
| 32 | + errNilMeasure = errors.New("expecting a non-nil stats.Measure") |
| 33 | + errNilView = errors.New("expecting a non-nil view.View") |
| 34 | + errNilViewData = errors.New("expecting a non-nil view.Data") |
| 35 | +) |
| 36 | + |
| 37 | +func viewDataToMetrics(vd *view.Data) (*metricspb.Metric, error) { |
| 38 | + if vd == nil { |
| 39 | + return nil, errNilViewData |
| 40 | + } |
| 41 | + |
| 42 | + descriptor, err := viewToMetricDescriptor(vd.View) |
| 43 | + if err != nil { |
| 44 | + return nil, err |
| 45 | + } |
| 46 | + |
| 47 | + timeseries, err := viewDataToTimeseries(vd) |
| 48 | + if err != nil { |
| 49 | + return nil, err |
| 50 | + } |
| 51 | + metric := &metricspb.Metric{ |
| 52 | + Descriptor_: descriptor, |
| 53 | + Timeseries: timeseries, |
| 54 | + // TODO: (@odeke-em) figure out how to derive |
| 55 | + // the Resource from the view or from environment? |
| 56 | + // Resource: derivedResource, |
| 57 | + } |
| 58 | + return metric, nil |
| 59 | +} |
| 60 | + |
| 61 | +func viewToMetricDescriptor(v *view.View) (*metricspb.Metric_MetricDescriptor, error) { |
| 62 | + if v == nil { |
| 63 | + return nil, errNilView |
| 64 | + } |
| 65 | + if v.Measure == nil { |
| 66 | + return nil, errNilMeasure |
| 67 | + } |
| 68 | + |
| 69 | + desc := &metricspb.Metric_MetricDescriptor{ |
| 70 | + MetricDescriptor: &metricspb.MetricDescriptor{ |
| 71 | + Name: stringOrCall(v.Name, v.Measure.Name), |
| 72 | + Description: stringOrCall(v.Description, v.Measure.Description), |
| 73 | + Unit: v.Measure.Unit(), |
| 74 | + Type: aggregationToMetricDescriptorType(v), |
| 75 | + LabelKeys: tagKeysToLabelKeys(v.TagKeys), |
| 76 | + }, |
| 77 | + } |
| 78 | + return desc, nil |
| 79 | +} |
| 80 | + |
| 81 | +func stringOrCall(first string, call func() string) string { |
| 82 | + if first != "" { |
| 83 | + return first |
| 84 | + } |
| 85 | + return call() |
| 86 | +} |
| 87 | + |
| 88 | +func nameToMetricName(name string) *metricspb.Metric_Name { |
| 89 | + if name == "" { |
| 90 | + return nil |
| 91 | + } |
| 92 | + return &metricspb.Metric_Name{Name: name} |
| 93 | +} |
| 94 | + |
| 95 | +type measureType uint |
| 96 | + |
| 97 | +const ( |
| 98 | + measureUnknown measureType = iota |
| 99 | + measureInt64 |
| 100 | + measureFloat64 |
| 101 | +) |
| 102 | + |
| 103 | +func measureTypeFromMeasure(m stats.Measure) measureType { |
| 104 | + switch m.(type) { |
| 105 | + default: |
| 106 | + return measureUnknown |
| 107 | + case *stats.Float64Measure: |
| 108 | + return measureFloat64 |
| 109 | + case *stats.Int64Measure: |
| 110 | + return measureInt64 |
| 111 | + } |
| 112 | +} |
| 113 | + |
| 114 | +func aggregationToMetricDescriptorType(v *view.View) metricspb.MetricDescriptor_Type { |
| 115 | + if v == nil || v.Aggregation == nil { |
| 116 | + return metricspb.MetricDescriptor_UNSPECIFIED |
| 117 | + } |
| 118 | + if v.Measure == nil { |
| 119 | + return metricspb.MetricDescriptor_UNSPECIFIED |
| 120 | + } |
| 121 | + |
| 122 | + switch v.Aggregation.Type { |
| 123 | + default: |
| 124 | + return metricspb.MetricDescriptor_UNSPECIFIED |
| 125 | + |
| 126 | + case view.AggTypeCount: |
| 127 | + // Cumulative on int64 |
| 128 | + return metricspb.MetricDescriptor_CUMULATIVE_INT64 |
| 129 | + |
| 130 | + case view.AggTypeDistribution: |
| 131 | + // Cumulative types |
| 132 | + return metricspb.MetricDescriptor_CUMULATIVE_DISTRIBUTION |
| 133 | + |
| 134 | + case view.AggTypeLastValue: |
| 135 | + // Gauge types |
| 136 | + switch measureTypeFromMeasure(v.Measure) { |
| 137 | + case measureFloat64: |
| 138 | + return metricspb.MetricDescriptor_GAUGE_DOUBLE |
| 139 | + case measureInt64: |
| 140 | + return metricspb.MetricDescriptor_GAUGE_INT64 |
| 141 | + } |
| 142 | + |
| 143 | + case view.AggTypeSum: |
| 144 | + // Cumulative types |
| 145 | + switch measureTypeFromMeasure(v.Measure) { |
| 146 | + case measureFloat64: |
| 147 | + return metricspb.MetricDescriptor_CUMULATIVE_DOUBLE |
| 148 | + case measureInt64: |
| 149 | + return metricspb.MetricDescriptor_CUMULATIVE_INT64 |
| 150 | + } |
| 151 | + } |
| 152 | + |
| 153 | + // For all other cases, return unspecified. |
| 154 | + return metricspb.MetricDescriptor_UNSPECIFIED |
| 155 | +} |
| 156 | + |
| 157 | +func tagKeysToLabelKeys(tagKeys []tag.Key) []*metricspb.LabelKey { |
| 158 | + labelKeys := make([]*metricspb.LabelKey, 0, len(tagKeys)) |
| 159 | + for _, tagKey := range tagKeys { |
| 160 | + labelKeys = append(labelKeys, &metricspb.LabelKey{ |
| 161 | + Key: tagKey.Name(), |
| 162 | + }) |
| 163 | + } |
| 164 | + return labelKeys |
| 165 | +} |
| 166 | + |
| 167 | +func viewDataToTimeseries(vd *view.Data) ([]*metricspb.TimeSeries, error) { |
| 168 | + if vd == nil || len(vd.Rows) == 0 { |
| 169 | + return nil, nil |
| 170 | + } |
| 171 | + |
| 172 | + // Given that view.Data only contains Start, End |
| 173 | + // the timestamps for all the row data will be the exact same |
| 174 | + // per aggregation. However, the values will differ. |
| 175 | + // Each row has its own tags. |
| 176 | + startTimestamp := timeToProtoTimestamp(vd.Start) |
| 177 | + endTimestamp := timeToProtoTimestamp(vd.End) |
| 178 | + |
| 179 | + timeseries := make([]*metricspb.TimeSeries, 0, len(vd.Rows)) |
| 180 | + // It is imperative that the ordering of "LabelValues" matches those |
| 181 | + // of the Label keys in the metric descriptor. |
| 182 | + for _, row := range vd.Rows { |
| 183 | + labelValues := labelValuesFromTags(row.Tags) |
| 184 | + point := rowToPoint(row, endTimestamp) |
| 185 | + timeseries = append(timeseries, &metricspb.TimeSeries{ |
| 186 | + StartTimestamp: startTimestamp, |
| 187 | + LabelValues: labelValues, |
| 188 | + Points: []*metricspb.Point{point}, |
| 189 | + }) |
| 190 | + } |
| 191 | + |
| 192 | + if len(timeseries) == 0 { |
| 193 | + return nil, nil |
| 194 | + } |
| 195 | + |
| 196 | + return timeseries, nil |
| 197 | +} |
| 198 | + |
| 199 | +func timeToProtoTimestamp(t time.Time) *timestamp.Timestamp { |
| 200 | + unixNano := t.UnixNano() |
| 201 | + return ×tamp.Timestamp{ |
| 202 | + Seconds: int64(unixNano / 1e9), |
| 203 | + Nanos: int32(unixNano % 1e9), |
| 204 | + } |
| 205 | +} |
| 206 | + |
| 207 | +func rowToPoint(row *view.Row, endTimestamp *timestamp.Timestamp) *metricspb.Point { |
| 208 | + pt := &metricspb.Point{ |
| 209 | + Timestamp: endTimestamp, |
| 210 | + } |
| 211 | + |
| 212 | + switch data := row.Data.(type) { |
| 213 | + case *view.CountData: |
| 214 | + pt.Value = &metricspb.Point_Int64Value{Int64Value: data.Value} |
| 215 | + |
| 216 | + case *view.DistributionData: |
| 217 | + pt.Value = &metricspb.Point_DistributionValue{ |
| 218 | + DistributionValue: &metricspb.DistributionValue{ |
| 219 | + Count: data.Count, |
| 220 | + Sum: float64(data.Count) * data.Mean, // because Mean := Sum/Count |
| 221 | + Buckets: exemplarsToDistributionBuckets(data.ExemplarsPerBucket), |
| 222 | + |
| 223 | + SumOfSquaredDeviation: data.SumOfSquaredDev, |
| 224 | + }} |
| 225 | + |
| 226 | + case *view.LastValueData: |
| 227 | + pt.Value = &metricspb.Point_DoubleValue{DoubleValue: data.Value} |
| 228 | + |
| 229 | + case *view.SumData: |
| 230 | + pt.Value = &metricspb.Point_DoubleValue{DoubleValue: data.Value} |
| 231 | + } |
| 232 | + |
| 233 | + return pt |
| 234 | +} |
| 235 | + |
| 236 | +func exemplarsToDistributionBuckets(exemplars []*exemplar.Exemplar) []*metricspb.DistributionValue_Bucket { |
| 237 | + if len(exemplars) == 0 { |
| 238 | + return nil |
| 239 | + } |
| 240 | + |
| 241 | + distBuckets := make([]*metricspb.DistributionValue_Bucket, 0, len(exemplars)) |
| 242 | + for _, exmplr := range exemplars { |
| 243 | + if exmplr == nil { |
| 244 | + continue |
| 245 | + } |
| 246 | + |
| 247 | + distBuckets = append(distBuckets, &metricspb.DistributionValue_Bucket{ |
| 248 | + Count: 1, // TODO: (@odeke-em) examine if OpenCensus-Go stores the count of values in the bucket |
| 249 | + Exemplar: &metricspb.DistributionValue_Exemplar{ |
| 250 | + Value: exmplr.Value, |
| 251 | + Timestamp: timeToTimestamp(exmplr.Timestamp), |
| 252 | + Attachments: exmplr.Attachments, |
| 253 | + }, |
| 254 | + }) |
| 255 | + } |
| 256 | + |
| 257 | + return distBuckets |
| 258 | +} |
| 259 | + |
| 260 | +func labelValuesFromTags(tags []tag.Tag) []*metricspb.LabelValue { |
| 261 | + if len(tags) == 0 { |
| 262 | + return nil |
| 263 | + } |
| 264 | + |
| 265 | + labelValues := make([]*metricspb.LabelValue, 0, len(tags)) |
| 266 | + for _, tag_ := range tags { |
| 267 | + labelValues = append(labelValues, &metricspb.LabelValue{ |
| 268 | + Value: tag_.Value, |
| 269 | + // It is imperative that we set the "HasValue" attribute, |
| 270 | + // in order to distinguish missing a label from the empty string. |
| 271 | + // https://godoc.org/github.com/census-instrumentation/opencensus-proto/gen-go/metrics/v1#LabelValue.HasValue |
| 272 | + HasValue: true, |
| 273 | + }) |
| 274 | + } |
| 275 | + return labelValues |
| 276 | +} |
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