mirror of
https://github.com/rclone/rclone.git
synced 2024-12-13 02:33:58 +01:00
132 lines
3.2 KiB
Go
132 lines
3.2 KiB
Go
|
// Copyright 2019, OpenCensus Authors
|
||
|
//
|
||
|
// Licensed under the Apache License, Version 2.0 (the "License");
|
||
|
// you may not use this file except in compliance with the License.
|
||
|
// You may obtain a copy of the License at
|
||
|
//
|
||
|
// http://www.apache.org/licenses/LICENSE-2.0
|
||
|
//
|
||
|
// Unless required by applicable law or agreed to in writing, software
|
||
|
// distributed under the License is distributed on an "AS IS" BASIS,
|
||
|
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||
|
// See the License for the specific language governing permissions and
|
||
|
// limitations under the License.
|
||
|
//
|
||
|
|
||
|
package view
|
||
|
|
||
|
import (
|
||
|
"time"
|
||
|
|
||
|
"go.opencensus.io/metric/metricdata"
|
||
|
"go.opencensus.io/stats"
|
||
|
)
|
||
|
|
||
|
func getUnit(unit string) metricdata.Unit {
|
||
|
switch unit {
|
||
|
case "1":
|
||
|
return metricdata.UnitDimensionless
|
||
|
case "ms":
|
||
|
return metricdata.UnitMilliseconds
|
||
|
case "By":
|
||
|
return metricdata.UnitBytes
|
||
|
}
|
||
|
return metricdata.UnitDimensionless
|
||
|
}
|
||
|
|
||
|
func getType(v *View) metricdata.Type {
|
||
|
m := v.Measure
|
||
|
agg := v.Aggregation
|
||
|
|
||
|
switch agg.Type {
|
||
|
case AggTypeSum:
|
||
|
switch m.(type) {
|
||
|
case *stats.Int64Measure:
|
||
|
return metricdata.TypeCumulativeInt64
|
||
|
case *stats.Float64Measure:
|
||
|
return metricdata.TypeCumulativeFloat64
|
||
|
default:
|
||
|
panic("unexpected measure type")
|
||
|
}
|
||
|
case AggTypeDistribution:
|
||
|
return metricdata.TypeCumulativeDistribution
|
||
|
case AggTypeLastValue:
|
||
|
switch m.(type) {
|
||
|
case *stats.Int64Measure:
|
||
|
return metricdata.TypeGaugeInt64
|
||
|
case *stats.Float64Measure:
|
||
|
return metricdata.TypeGaugeFloat64
|
||
|
default:
|
||
|
panic("unexpected measure type")
|
||
|
}
|
||
|
case AggTypeCount:
|
||
|
switch m.(type) {
|
||
|
case *stats.Int64Measure:
|
||
|
return metricdata.TypeCumulativeInt64
|
||
|
case *stats.Float64Measure:
|
||
|
return metricdata.TypeCumulativeInt64
|
||
|
default:
|
||
|
panic("unexpected measure type")
|
||
|
}
|
||
|
default:
|
||
|
panic("unexpected aggregation type")
|
||
|
}
|
||
|
}
|
||
|
|
||
|
func getLableKeys(v *View) []string {
|
||
|
labelKeys := []string{}
|
||
|
for _, k := range v.TagKeys {
|
||
|
labelKeys = append(labelKeys, k.Name())
|
||
|
}
|
||
|
return labelKeys
|
||
|
}
|
||
|
|
||
|
func viewToMetricDescriptor(v *View) *metricdata.Descriptor {
|
||
|
return &metricdata.Descriptor{
|
||
|
Name: v.Name,
|
||
|
Description: v.Description,
|
||
|
Unit: getUnit(v.Measure.Unit()),
|
||
|
Type: getType(v),
|
||
|
LabelKeys: getLableKeys(v),
|
||
|
}
|
||
|
}
|
||
|
|
||
|
func toLabelValues(row *Row) []metricdata.LabelValue {
|
||
|
labelValues := []metricdata.LabelValue{}
|
||
|
for _, tag := range row.Tags {
|
||
|
labelValues = append(labelValues, metricdata.NewLabelValue(tag.Value))
|
||
|
}
|
||
|
return labelValues
|
||
|
}
|
||
|
|
||
|
func rowToTimeseries(v *viewInternal, row *Row, now time.Time, startTime time.Time) *metricdata.TimeSeries {
|
||
|
return &metricdata.TimeSeries{
|
||
|
Points: []metricdata.Point{row.Data.toPoint(v.metricDescriptor.Type, now)},
|
||
|
LabelValues: toLabelValues(row),
|
||
|
StartTime: startTime,
|
||
|
}
|
||
|
}
|
||
|
|
||
|
func viewToMetric(v *viewInternal, now time.Time, startTime time.Time) *metricdata.Metric {
|
||
|
if v.metricDescriptor.Type == metricdata.TypeGaugeInt64 ||
|
||
|
v.metricDescriptor.Type == metricdata.TypeGaugeFloat64 {
|
||
|
startTime = time.Time{}
|
||
|
}
|
||
|
|
||
|
rows := v.collectedRows()
|
||
|
if len(rows) == 0 {
|
||
|
return nil
|
||
|
}
|
||
|
|
||
|
ts := []*metricdata.TimeSeries{}
|
||
|
for _, row := range rows {
|
||
|
ts = append(ts, rowToTimeseries(v, row, now, startTime))
|
||
|
}
|
||
|
|
||
|
m := &metricdata.Metric{
|
||
|
Descriptor: *v.metricDescriptor,
|
||
|
TimeSeries: ts,
|
||
|
}
|
||
|
return m
|
||
|
}
|