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fix: update lego.

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Fernandez Ludovic 2019-04-26 11:08:44 +02:00 • committed by Traefiker Bot
parent b8b0c8f3e5
commit 8d848c3d60
169 changed files with 12224 additions and 605 deletions
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120
vendor/go.opencensus.io/stats/view/aggregation.go generated vendored Normal file
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// Copyright 2017, 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
// AggType represents the type of aggregation function used on a View.
type AggType int
// All available aggregation types.
const (
AggTypeNone AggType = iota // no aggregation; reserved for future use.
AggTypeCount // the count aggregation, see Count.
AggTypeSum // the sum aggregation, see Sum.
AggTypeDistribution // the distribution aggregation, see Distribution.
AggTypeLastValue // the last value aggregation, see LastValue.
)
func (t AggType) String() string {
return aggTypeName[t]
}
var aggTypeName = map[AggType]string{
AggTypeNone: "None",
AggTypeCount: "Count",
AggTypeSum: "Sum",
AggTypeDistribution: "Distribution",
AggTypeLastValue: "LastValue",
}
// Aggregation represents a data aggregation method. Use one of the functions:
// Count, Sum, or Distribution to construct an Aggregation.
type Aggregation struct {
Type AggType // Type is the AggType of this Aggregation.
Buckets []float64 // Buckets are the bucket endpoints if this Aggregation represents a distribution, see Distribution.
newData func() AggregationData
}
var (
aggCount = &Aggregation{
Type: AggTypeCount,
newData: func() AggregationData {
return &CountData{}
},
}
aggSum = &Aggregation{
Type: AggTypeSum,
newData: func() AggregationData {
return &SumData{}
},
}
)
// Count indicates that data collected and aggregated
// with this method will be turned into a count value.
// For example, total number of accepted requests can be
// aggregated by using Count.
func Count() *Aggregation {
return aggCount
}
// Sum indicates that data collected and aggregated
// with this method will be summed up.
// For example, accumulated request bytes can be aggregated by using
// Sum.
func Sum() *Aggregation {
return aggSum
}
// Distribution indicates that the desired aggregation is
// a histogram distribution.
//
// An distribution aggregation may contain a histogram of the values in the
// population. The bucket boundaries for that histogram are described
// by the bounds. This defines len(bounds)+1 buckets.
//
// If len(bounds) >= 2 then the boundaries for bucket index i are:
//
// [-infinity, bounds[i]) for i = 0
// [bounds[i-1], bounds[i]) for 0 < i < length
// [bounds[i-1], +infinity) for i = length
//
// If len(bounds) is 0 then there is no histogram associated with the
// distribution. There will be a single bucket with boundaries
// (-infinity, +infinity).
//
// If len(bounds) is 1 then there is no finite buckets, and that single
// element is the common boundary of the overflow and underflow buckets.
func Distribution(bounds ...float64) *Aggregation {
return &Aggregation{
Type: AggTypeDistribution,
Buckets: bounds,
newData: func() AggregationData {
return newDistributionData(bounds)
},
}
}
// LastValue only reports the last value recorded using this
// aggregation. All other measurements will be dropped.
func LastValue() *Aggregation {
return &Aggregation{
Type: AggTypeLastValue,
newData: func() AggregationData {
return &LastValueData{}
},
}
}

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vendor/go.opencensus.io/stats/view/aggregation_data.go generated vendored Normal file
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// Copyright 2017, 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 (
"math"
"time"
"go.opencensus.io/metric/metricdata"
)
// AggregationData represents an aggregated value from a collection.
// They are reported on the view data during exporting.
// Mosts users won't directly access aggregration data.
type AggregationData interface {
isAggregationData() bool
addSample(v float64, attachments map[string]interface{}, t time.Time)
clone() AggregationData
equal(other AggregationData) bool
toPoint(t metricdata.Type, time time.Time) metricdata.Point
}
const epsilon = 1e-9
// CountData is the aggregated data for the Count aggregation.
// A count aggregation processes data and counts the recordings.
//
// Most users won't directly access count data.
type CountData struct {
Value int64
}
func (a *CountData) isAggregationData() bool { return true }
func (a *CountData) addSample(_ float64, _ map[string]interface{}, _ time.Time) {
a.Value = a.Value + 1
}
func (a *CountData) clone() AggregationData {
return &CountData{Value: a.Value}
}
func (a *CountData) equal(other AggregationData) bool {
a2, ok := other.(*CountData)
if !ok {
return false
}
return a.Value == a2.Value
}
func (a *CountData) toPoint(metricType metricdata.Type, t time.Time) metricdata.Point {
switch metricType {
case metricdata.TypeCumulativeInt64:
return metricdata.NewInt64Point(t, a.Value)
default:
panic("unsupported metricdata.Type")
}
}
// SumData is the aggregated data for the Sum aggregation.
// A sum aggregation processes data and sums up the recordings.
//
// Most users won't directly access sum data.
type SumData struct {
Value float64
}
func (a *SumData) isAggregationData() bool { return true }
func (a *SumData) addSample(v float64, _ map[string]interface{}, _ time.Time) {
a.Value += v
}
func (a *SumData) clone() AggregationData {
return &SumData{Value: a.Value}
}
func (a *SumData) equal(other AggregationData) bool {
a2, ok := other.(*SumData)
if !ok {
return false
}
return math.Pow(a.Value-a2.Value, 2) < epsilon
}
func (a *SumData) toPoint(metricType metricdata.Type, t time.Time) metricdata.Point {
switch metricType {
case metricdata.TypeCumulativeInt64:
return metricdata.NewInt64Point(t, int64(a.Value))
case metricdata.TypeCumulativeFloat64:
return metricdata.NewFloat64Point(t, a.Value)
default:
panic("unsupported metricdata.Type")
}
}
// DistributionData is the aggregated data for the
// Distribution aggregation.
//
// Most users won't directly access distribution data.
//
// For a distribution with N bounds, the associated DistributionData will have
// N+1 buckets.
type DistributionData struct {
Count int64 // number of data points aggregated
Min float64 // minimum value in the distribution
Max float64 // max value in the distribution
Mean float64 // mean of the distribution
SumOfSquaredDev float64 // sum of the squared deviation from the mean
CountPerBucket []int64 // number of occurrences per bucket
// ExemplarsPerBucket is slice the same length as CountPerBucket containing
// an exemplar for the associated bucket, or nil.
ExemplarsPerBucket []*metricdata.Exemplar
bounds []float64 // histogram distribution of the values
}
func newDistributionData(bounds []float64) *DistributionData {
bucketCount := len(bounds) + 1
return &DistributionData{
CountPerBucket: make([]int64, bucketCount),
ExemplarsPerBucket: make([]*metricdata.Exemplar, bucketCount),
bounds: bounds,
Min: math.MaxFloat64,
Max: math.SmallestNonzeroFloat64,
}
}
// Sum returns the sum of all samples collected.
func (a *DistributionData) Sum() float64 { return a.Mean * float64(a.Count) }
func (a *DistributionData) variance() float64 {
if a.Count <= 1 {
return 0
}
return a.SumOfSquaredDev / float64(a.Count-1)
}
func (a *DistributionData) isAggregationData() bool { return true }
// TODO(songy23): support exemplar attachments.
func (a *DistributionData) addSample(v float64, attachments map[string]interface{}, t time.Time) {
if v < a.Min {
a.Min = v
}
if v > a.Max {
a.Max = v
}
a.Count++
a.addToBucket(v, attachments, t)
if a.Count == 1 {
a.Mean = v
return
}
oldMean := a.Mean
a.Mean = a.Mean + (v-a.Mean)/float64(a.Count)
a.SumOfSquaredDev = a.SumOfSquaredDev + (v-oldMean)*(v-a.Mean)
}
func (a *DistributionData) addToBucket(v float64, attachments map[string]interface{}, t time.Time) {
var count *int64
var i int
var b float64
for i, b = range a.bounds {
if v < b {
count = &a.CountPerBucket[i]
break
}
}
if count == nil { // Last bucket.
i = len(a.bounds)
count = &a.CountPerBucket[i]
}
*count++
if exemplar := getExemplar(v, attachments, t); exemplar != nil {
a.ExemplarsPerBucket[i] = exemplar
}
}
func getExemplar(v float64, attachments map[string]interface{}, t time.Time) *metricdata.Exemplar {
if len(attachments) == 0 {
return nil
}
return &metricdata.Exemplar{
Value: v,
Timestamp: t,
Attachments: attachments,
}
}
func (a *DistributionData) clone() AggregationData {
c := *a
c.CountPerBucket = append([]int64(nil), a.CountPerBucket...)
c.ExemplarsPerBucket = append([]*metricdata.Exemplar(nil), a.ExemplarsPerBucket...)
return &c
}
func (a *DistributionData) equal(other AggregationData) bool {
a2, ok := other.(*DistributionData)
if !ok {
return false
}
if a2 == nil {
return false
}
if len(a.CountPerBucket) != len(a2.CountPerBucket) {
return false
}
for i := range a.CountPerBucket {
if a.CountPerBucket[i] != a2.CountPerBucket[i] {
return false
}
}
return a.Count == a2.Count && a.Min == a2.Min && a.Max == a2.Max && math.Pow(a.Mean-a2.Mean, 2) < epsilon && math.Pow(a.variance()-a2.variance(), 2) < epsilon
}
func (a *DistributionData) toPoint(metricType metricdata.Type, t time.Time) metricdata.Point {
switch metricType {
case metricdata.TypeCumulativeDistribution:
buckets := []metricdata.Bucket{}
for i := 0; i < len(a.CountPerBucket); i++ {
buckets = append(buckets, metricdata.Bucket{
Count: a.CountPerBucket[i],
Exemplar: a.ExemplarsPerBucket[i],
})
}
bucketOptions := &metricdata.BucketOptions{Bounds: a.bounds}
val := &metricdata.Distribution{
Count: a.Count,
Sum: a.Sum(),
SumOfSquaredDeviation: a.SumOfSquaredDev,
BucketOptions: bucketOptions,
Buckets: buckets,
}
return metricdata.NewDistributionPoint(t, val)
default:
// TODO: [rghetia] when we have a use case for TypeGaugeDistribution.
panic("unsupported metricdata.Type")
}
}
// LastValueData returns the last value recorded for LastValue aggregation.
type LastValueData struct {
Value float64
}
func (l *LastValueData) isAggregationData() bool {
return true
}
func (l *LastValueData) addSample(v float64, _ map[string]interface{}, _ time.Time) {
l.Value = v
}
func (l *LastValueData) clone() AggregationData {
return &LastValueData{l.Value}
}
func (l *LastValueData) equal(other AggregationData) bool {
a2, ok := other.(*LastValueData)
if !ok {
return false
}
return l.Value == a2.Value
}
func (l *LastValueData) toPoint(metricType metricdata.Type, t time.Time) metricdata.Point {
switch metricType {
case metricdata.TypeGaugeInt64:
return metricdata.NewInt64Point(t, int64(l.Value))
case metricdata.TypeGaugeFloat64:
return metricdata.NewFloat64Point(t, l.Value)
default:
panic("unsupported metricdata.Type")
}
}

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// Copyright 2017, 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 (
"sort"
"time"
"go.opencensus.io/internal/tagencoding"
"go.opencensus.io/tag"
)
type collector struct {
// signatures holds the aggregations values for each unique tag signature
// (values for all keys) to its aggregator.
signatures map[string]AggregationData
// Aggregation is the description of the aggregation to perform for this
// view.
a *Aggregation
}
func (c *collector) addSample(s string, v float64, attachments map[string]interface{}, t time.Time) {
aggregator, ok := c.signatures[s]
if !ok {
aggregator = c.a.newData()
c.signatures[s] = aggregator
}
aggregator.addSample(v, attachments, t)
}
// collectRows returns a snapshot of the collected Row values.
func (c *collector) collectedRows(keys []tag.Key) []*Row {
rows := make([]*Row, 0, len(c.signatures))
for sig, aggregator := range c.signatures {
tags := decodeTags([]byte(sig), keys)
row := &Row{Tags: tags, Data: aggregator.clone()}
rows = append(rows, row)
}
return rows
}
func (c *collector) clearRows() {
c.signatures = make(map[string]AggregationData)
}
// encodeWithKeys encodes the map by using values
// only associated with the keys provided.
func encodeWithKeys(m *tag.Map, keys []tag.Key) []byte {
vb := &tagencoding.Values{
Buffer: make([]byte, len(keys)),
}
for _, k := range keys {
v, _ := m.Value(k)
vb.WriteValue([]byte(v))
}
return vb.Bytes()
}
// decodeTags decodes tags from the buffer and
// orders them by the keys.
func decodeTags(buf []byte, keys []tag.Key) []tag.Tag {
vb := &tagencoding.Values{Buffer: buf}
var tags []tag.Tag
for _, k := range keys {
v := vb.ReadValue()
if v != nil {
tags = append(tags, tag.Tag{Key: k, Value: string(v)})
}
}
vb.ReadIndex = 0
sort.Slice(tags, func(i, j int) bool { return tags[i].Key.Name() < tags[j].Key.Name() })
return tags
}

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vendor/go.opencensus.io/stats/view/doc.go generated vendored Normal file
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// Copyright 2017, 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 contains support for collecting and exposing aggregates over stats.
//
// In order to collect measurements, views need to be defined and registered.
// A view allows recorded measurements to be filtered and aggregated.
//
// All recorded measurements can be grouped by a list of tags.
//
// OpenCensus provides several aggregation methods: Count, Distribution and Sum.
//
// Count only counts the number of measurement points recorded.
// Distribution provides statistical summary of the aggregated data by counting
// how many recorded measurements fall into each bucket.
// Sum adds up the measurement values.
// LastValue just keeps track of the most recently recorded measurement value.
// All aggregations are cumulative.
//
// Views can be registerd and unregistered at any time during program execution.
//
// Libraries can define views but it is recommended that in most cases registering
// views be left up to applications.
//
// Exporting
//
// Collected and aggregated data can be exported to a metric collection
// backend by registering its exporter.
//
// Multiple exporters can be registered to upload the data to various
// different back ends.
package view // import "go.opencensus.io/stats/view"
// TODO(acetechnologist): Add a link to the language independent OpenCensus
// spec when it is available.

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vendor/go.opencensus.io/stats/view/export.go generated vendored Normal file
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// Copyright 2017, 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 "sync"
var (
exportersMu sync.RWMutex // guards exporters
exporters = make(map[Exporter]struct{})
)
// Exporter exports the collected records as view data.
//
// The ExportView method should return quickly; if an
// Exporter takes a significant amount of time to
// process a Data, that work should be done on another goroutine.
//
// It is safe to assume that ExportView will not be called concurrently from
// multiple goroutines.
//
// The Data should not be modified.
type Exporter interface {
ExportView(viewData *Data)
}
// RegisterExporter registers an exporter.
// Collected data will be reported via all the
// registered exporters. Once you no longer
// want data to be exported, invoke UnregisterExporter
// with the previously registered exporter.
//
// Binaries can register exporters, libraries shouldn't register exporters.
func RegisterExporter(e Exporter) {
exportersMu.Lock()
defer exportersMu.Unlock()
exporters[e] = struct{}{}
}
// UnregisterExporter unregisters an exporter.
func UnregisterExporter(e Exporter) {
exportersMu.Lock()
defer exportersMu.Unlock()
delete(exporters, e)
}

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vendor/go.opencensus.io/stats/view/view.go generated vendored Normal file
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// Copyright 2017, 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 (
"bytes"
"errors"
"fmt"
"reflect"
"sort"
"sync/atomic"
"time"
"go.opencensus.io/metric/metricdata"
"go.opencensus.io/stats"
"go.opencensus.io/tag"
)
// View allows users to aggregate the recorded stats.Measurements.
// Views need to be passed to the Register function to be before data will be
// collected and sent to Exporters.
type View struct {
Name string // Name of View. Must be unique. If unset, will default to the name of the Measure.
Description string // Description is a human-readable description for this view.
// TagKeys are the tag keys describing the grouping of this view.
// A single Row will be produced for each combination of associated tag values.
TagKeys []tag.Key
// Measure is a stats.Measure to aggregate in this view.
Measure stats.Measure
// Aggregation is the aggregation function tp apply to the set of Measurements.
Aggregation *Aggregation
}
// WithName returns a copy of the View with a new name. This is useful for
// renaming views to cope with limitations placed on metric names by various
// backends.
func (v *View) WithName(name string) *View {
vNew := *v
vNew.Name = name
return &vNew
}
// same compares two views and returns true if they represent the same aggregation.
func (v *View) same(other *View) bool {
if v == other {
return true
}
if v == nil {
return false
}
return reflect.DeepEqual(v.Aggregation, other.Aggregation) &&
v.Measure.Name() == other.Measure.Name()
}
// ErrNegativeBucketBounds error returned if histogram contains negative bounds.
//
// Deprecated: this should not be public.
var ErrNegativeBucketBounds = errors.New("negative bucket bounds not supported")
// canonicalize canonicalizes v by setting explicit
// defaults for Name and Description and sorting the TagKeys
func (v *View) canonicalize() error {
if v.Measure == nil {
return fmt.Errorf("cannot register view %q: measure not set", v.Name)
}
if v.Aggregation == nil {
return fmt.Errorf("cannot register view %q: aggregation not set", v.Name)
}
if v.Name == "" {
v.Name = v.Measure.Name()
}
if v.Description == "" {
v.Description = v.Measure.Description()
}
if err := checkViewName(v.Name); err != nil {
return err
}
sort.Slice(v.TagKeys, func(i, j int) bool {
return v.TagKeys[i].Name() < v.TagKeys[j].Name()
})
sort.Float64s(v.Aggregation.Buckets)
for _, b := range v.Aggregation.Buckets {
if b < 0 {
return ErrNegativeBucketBounds
}
}
// drop 0 bucket silently.
v.Aggregation.Buckets = dropZeroBounds(v.Aggregation.Buckets...)
return nil
}
func dropZeroBounds(bounds ...float64) []float64 {
for i, bound := range bounds {
if bound > 0 {
return bounds[i:]
}
}
return []float64{}
}
// viewInternal is the internal representation of a View.
type viewInternal struct {
view *View // view is the canonicalized View definition associated with this view.
subscribed uint32 // 1 if someone is subscribed and data need to be exported, use atomic to access
collector *collector
metricDescriptor *metricdata.Descriptor
}
func newViewInternal(v *View) (*viewInternal, error) {
return &viewInternal{
view: v,
collector: &collector{make(map[string]AggregationData), v.Aggregation},
metricDescriptor: viewToMetricDescriptor(v),
}, nil
}
func (v *viewInternal) subscribe() {
atomic.StoreUint32(&v.subscribed, 1)
}
func (v *viewInternal) unsubscribe() {
atomic.StoreUint32(&v.subscribed, 0)
}
// isSubscribed returns true if the view is exporting
// data by subscription.
func (v *viewInternal) isSubscribed() bool {
return atomic.LoadUint32(&v.subscribed) == 1
}
func (v *viewInternal) clearRows() {
v.collector.clearRows()
}
func (v *viewInternal) collectedRows() []*Row {
return v.collector.collectedRows(v.view.TagKeys)
}
func (v *viewInternal) addSample(m *tag.Map, val float64, attachments map[string]interface{}, t time.Time) {
if !v.isSubscribed() {
return
}
sig := string(encodeWithKeys(m, v.view.TagKeys))
v.collector.addSample(sig, val, attachments, t)
}
// A Data is a set of rows about usage of the single measure associated
// with the given view. Each row is specific to a unique set of tags.
type Data struct {
View *View
Start, End time.Time
Rows []*Row
}
// Row is the collected value for a specific set of key value pairs a.k.a tags.
type Row struct {
Tags []tag.Tag
Data AggregationData
}
func (r *Row) String() string {
var buffer bytes.Buffer
buffer.WriteString("{ ")
buffer.WriteString("{ ")
for _, t := range r.Tags {
buffer.WriteString(fmt.Sprintf("{%v %v}", t.Key.Name(), t.Value))
}
buffer.WriteString(" }")
buffer.WriteString(fmt.Sprintf("%v", r.Data))
buffer.WriteString(" }")
return buffer.String()
}
// Equal returns true if both rows are equal. Tags are expected to be ordered
// by the key name. Even both rows have the same tags but the tags appear in
// different orders it will return false.
func (r *Row) Equal(other *Row) bool {
if r == other {
return true
}
return reflect.DeepEqual(r.Tags, other.Tags) && r.Data.equal(other.Data)
}
const maxNameLength = 255
// Returns true if the given string contains only printable characters.
func isPrintable(str string) bool {
for _, r := range str {
if !(r >= ' ' && r <= '~') {
return false
}
}
return true
}
func checkViewName(name string) error {
if len(name) > maxNameLength {
return fmt.Errorf("view name cannot be larger than %v", maxNameLength)
}
if !isPrintable(name) {
return fmt.Errorf("view name needs to be an ASCII string")
}
return nil
}

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vendor/go.opencensus.io/stats/view/view_to_metric.go generated vendored Normal file
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// 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) []metricdata.LabelKey {
labelKeys := []metricdata.LabelKey{}
for _, k := range v.TagKeys {
labelKeys = append(labelKeys, metricdata.LabelKey{Key: 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, expectedKeys []metricdata.LabelKey) []metricdata.LabelValue {
labelValues := []metricdata.LabelValue{}
tagMap := make(map[string]string)
for _, tag := range row.Tags {
tagMap[tag.Key.Name()] = tag.Value
}
for _, key := range expectedKeys {
if val, ok := tagMap[key.Key]; ok {
labelValues = append(labelValues, metricdata.NewLabelValue(val))
} else {
labelValues = append(labelValues, metricdata.LabelValue{})
}
}
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, v.metricDescriptor.LabelKeys),
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
}

281
vendor/go.opencensus.io/stats/view/worker.go generated vendored Normal file
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@ -0,0 +1,281 @@
// Copyright 2017, 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 (
"fmt"
"sync"
"time"
"go.opencensus.io/metric/metricdata"
"go.opencensus.io/metric/metricproducer"
"go.opencensus.io/stats"
"go.opencensus.io/stats/internal"
"go.opencensus.io/tag"
)
func init() {
defaultWorker = newWorker()
go defaultWorker.start()
internal.DefaultRecorder = record
}
type measureRef struct {
measure string
views map[*viewInternal]struct{}
}
type worker struct {
measures map[string]*measureRef
views map[string]*viewInternal
startTimes map[*viewInternal]time.Time
timer *time.Ticker
c chan command
quit, done chan bool
mu sync.RWMutex
}
var defaultWorker *worker
var defaultReportingDuration = 10 * time.Second
// Find returns a registered view associated with this name.
// If no registered view is found, nil is returned.
func Find(name string) (v *View) {
req := &getViewByNameReq{
name: name,
c: make(chan *getViewByNameResp),
}
defaultWorker.c <- req
resp := <-req.c
return resp.v
}
// Register begins collecting data for the given views.
// Once a view is registered, it reports data to the registered exporters.
func Register(views ...*View) error {
req := &registerViewReq{
views: views,
err: make(chan error),
}
defaultWorker.c <- req
return <-req.err
}
// Unregister the given views. Data will not longer be exported for these views
// after Unregister returns.
// It is not necessary to unregister from views you expect to collect for the
// duration of your program execution.
func Unregister(views ...*View) {
names := make([]string, len(views))
for i := range views {
names[i] = views[i].Name
}
req := &unregisterFromViewReq{
views: names,
done: make(chan struct{}),
}
defaultWorker.c <- req
<-req.done
}
// RetrieveData gets a snapshot of the data collected for the the view registered
// with the given name. It is intended for testing only.
func RetrieveData(viewName string) ([]*Row, error) {
req := &retrieveDataReq{
now: time.Now(),
v: viewName,
c: make(chan *retrieveDataResp),
}
defaultWorker.c <- req
resp := <-req.c
return resp.rows, resp.err
}
func record(tags *tag.Map, ms interface{}, attachments map[string]interface{}) {
req := &recordReq{
tm: tags,
ms: ms.([]stats.Measurement),
attachments: attachments,
t: time.Now(),
}
defaultWorker.c <- req
}
// SetReportingPeriod sets the interval between reporting aggregated views in
// the program. If duration is less than or equal to zero, it enables the
// default behavior.
//
// Note: each exporter makes different promises about what the lowest supported
// duration is. For example, the Stackdriver exporter recommends a value no
// lower than 1 minute. Consult each exporter per your needs.
func SetReportingPeriod(d time.Duration) {
// TODO(acetechnologist): ensure that the duration d is more than a certain
// value. e.g. 1s
req := &setReportingPeriodReq{
d: d,
c: make(chan bool),
}
defaultWorker.c <- req
<-req.c // don't return until the timer is set to the new duration.
}
func newWorker() *worker {
return &worker{
measures: make(map[string]*measureRef),
views: make(map[string]*viewInternal),
startTimes: make(map[*viewInternal]time.Time),
timer: time.NewTicker(defaultReportingDuration),
c: make(chan command, 1024),
quit: make(chan bool),
done: make(chan bool),
}
}
func (w *worker) start() {
prodMgr := metricproducer.GlobalManager()
prodMgr.AddProducer(w)
for {
select {
case cmd := <-w.c:
cmd.handleCommand(w)
case <-w.timer.C:
w.reportUsage(time.Now())
case <-w.quit:
w.timer.Stop()
close(w.c)
w.done <- true
return
}
}
}
func (w *worker) stop() {
prodMgr := metricproducer.GlobalManager()
prodMgr.DeleteProducer(w)
w.quit <- true
<-w.done
}
func (w *worker) getMeasureRef(name string) *measureRef {
if mr, ok := w.measures[name]; ok {
return mr
}
mr := &measureRef{
measure: name,
views: make(map[*viewInternal]struct{}),
}
w.measures[name] = mr
return mr
}
func (w *worker) tryRegisterView(v *View) (*viewInternal, error) {
w.mu.Lock()
defer w.mu.Unlock()
vi, err := newViewInternal(v)
if err != nil {
return nil, err
}
if x, ok := w.views[vi.view.Name]; ok {
if !x.view.same(vi.view) {
return nil, fmt.Errorf("cannot register view %q; a different view with the same name is already registered", v.Name)
}
// the view is already registered so there is nothing to do and the
// command is considered successful.
return x, nil
}
w.views[vi.view.Name] = vi
ref := w.getMeasureRef(vi.view.Measure.Name())
ref.views[vi] = struct{}{}
return vi, nil
}
func (w *worker) unregisterView(viewName string) {
w.mu.Lock()
defer w.mu.Unlock()
delete(w.views, viewName)
}
func (w *worker) reportView(v *viewInternal, now time.Time) {
if !v.isSubscribed() {
return
}
rows := v.collectedRows()
_, ok := w.startTimes[v]
if !ok {
w.startTimes[v] = now
}
viewData := &Data{
View: v.view,
Start: w.startTimes[v],
End: time.Now(),
Rows: rows,
}
exportersMu.Lock()
for e := range exporters {
e.ExportView(viewData)
}
exportersMu.Unlock()
}
func (w *worker) reportUsage(now time.Time) {
w.mu.Lock()
defer w.mu.Unlock()
for _, v := range w.views {
w.reportView(v, now)
}
}
func (w *worker) toMetric(v *viewInternal, now time.Time) *metricdata.Metric {
if !v.isSubscribed() {
return nil
}
_, ok := w.startTimes[v]
if !ok {
w.startTimes[v] = now
}
var startTime time.Time
if v.metricDescriptor.Type == metricdata.TypeGaugeInt64 ||
v.metricDescriptor.Type == metricdata.TypeGaugeFloat64 {
startTime = time.Time{}
} else {
startTime = w.startTimes[v]
}
return viewToMetric(v, now, startTime)
}
// Read reads all view data and returns them as metrics.
// It is typically invoked by metric reader to export stats in metric format.
func (w *worker) Read() []*metricdata.Metric {
w.mu.Lock()
defer w.mu.Unlock()
now := time.Now()
metrics := make([]*metricdata.Metric, 0, len(w.views))
for _, v := range w.views {
metric := w.toMetric(v, now)
if metric != nil {
metrics = append(metrics, metric)
}
}
return metrics
}

186
vendor/go.opencensus.io/stats/view/worker_commands.go generated vendored Normal file
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// Copyright 2017, 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 (
"errors"
"fmt"
"strings"
"time"
"go.opencensus.io/stats"
"go.opencensus.io/stats/internal"
"go.opencensus.io/tag"
)
type command interface {
handleCommand(w *worker)
}
// getViewByNameReq is the command to get a view given its name.
type getViewByNameReq struct {
name string
c chan *getViewByNameResp
}
type getViewByNameResp struct {
v *View
}
func (cmd *getViewByNameReq) handleCommand(w *worker) {
v := w.views[cmd.name]
if v == nil {
cmd.c <- &getViewByNameResp{nil}
return
}
cmd.c <- &getViewByNameResp{v.view}
}
// registerViewReq is the command to register a view.
type registerViewReq struct {
views []*View
err chan error
}
func (cmd *registerViewReq) handleCommand(w *worker) {
for _, v := range cmd.views {
if err := v.canonicalize(); err != nil {
cmd.err <- err
return
}
}
var errstr []string
for _, view := range cmd.views {
vi, err := w.tryRegisterView(view)
if err != nil {
errstr = append(errstr, fmt.Sprintf("%s: %v", view.Name, err))
continue
}
internal.SubscriptionReporter(view.Measure.Name())
vi.subscribe()
}
if len(errstr) > 0 {
cmd.err <- errors.New(strings.Join(errstr, "\n"))
} else {
cmd.err <- nil
}
}
// unregisterFromViewReq is the command to unregister to a view. Has no
// impact on the data collection for client that are pulling data from the
// library.
type unregisterFromViewReq struct {
views []string
done chan struct{}
}
func (cmd *unregisterFromViewReq) handleCommand(w *worker) {
for _, name := range cmd.views {
vi, ok := w.views[name]
if !ok {
continue
}
// Report pending data for this view before removing it.
w.reportView(vi, time.Now())
vi.unsubscribe()
if !vi.isSubscribed() {
// this was the last subscription and view is not collecting anymore.
// The collected data can be cleared.
vi.clearRows()
}
w.unregisterView(name)
}
cmd.done <- struct{}{}
}
// retrieveDataReq is the command to retrieve data for a view.
type retrieveDataReq struct {
now time.Time
v string
c chan *retrieveDataResp
}
type retrieveDataResp struct {
rows []*Row
err error
}
func (cmd *retrieveDataReq) handleCommand(w *worker) {
w.mu.Lock()
defer w.mu.Unlock()
vi, ok := w.views[cmd.v]
if !ok {
cmd.c <- &retrieveDataResp{
nil,
fmt.Errorf("cannot retrieve data; view %q is not registered", cmd.v),
}
return
}
if !vi.isSubscribed() {
cmd.c <- &retrieveDataResp{
nil,
fmt.Errorf("cannot retrieve data; view %q has no subscriptions or collection is not forcibly started", cmd.v),
}
return
}
cmd.c <- &retrieveDataResp{
vi.collectedRows(),
nil,
}
}
// recordReq is the command to record data related to multiple measures
// at once.
type recordReq struct {
tm *tag.Map
ms []stats.Measurement
attachments map[string]interface{}
t time.Time
}
func (cmd *recordReq) handleCommand(w *worker) {
w.mu.Lock()
defer w.mu.Unlock()
for _, m := range cmd.ms {
if (m == stats.Measurement{}) { // not registered
continue
}
ref := w.getMeasureRef(m.Measure().Name())
for v := range ref.views {
v.addSample(cmd.tm, m.Value(), cmd.attachments, time.Now())
}
}
}
// setReportingPeriodReq is the command to modify the duration between
// reporting the collected data to the registered clients.
type setReportingPeriodReq struct {
d time.Duration
c chan bool
}
func (cmd *setReportingPeriodReq) handleCommand(w *worker) {
w.timer.Stop()
if cmd.d <= 0 {
w.timer = time.NewTicker(defaultReportingDuration)
} else {
w.timer = time.NewTicker(cmd.d)
}
cmd.c <- true
}