mirror of https://github.com/docker/cli.git
413 lines
10 KiB
Go
413 lines
10 KiB
Go
|
// Copyright 2015 The Prometheus 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 expfmt
|
||
|
|
|
||
|
|
import (
|
||
|
|
"fmt"
|
||
|
|
"io"
|
||
|
|
"math"
|
||
|
|
"mime"
|
||
|
|
"net/http"
|
||
|
|
|
||
|
|
dto "github.com/prometheus/client_model/go"
|
||
|
|
|
||
|
|
"github.com/matttproud/golang_protobuf_extensions/pbutil"
|
||
|
|
"github.com/prometheus/common/model"
|
||
|
|
)
|
||
|
|
|
||
|
|
// Decoder types decode an input stream into metric families.
|
||
|
|
type Decoder interface {
|
||
|
|
Decode(*dto.MetricFamily) error
|
||
|
|
}
|
||
|
|
|
||
|
|
type DecodeOptions struct {
|
||
|
|
// Timestamp is added to each value from the stream that has no explicit timestamp set.
|
||
|
|
Timestamp model.Time
|
||
|
|
}
|
||
|
|
|
||
|
|
// ResponseFormat extracts the correct format from a HTTP response header.
|
||
|
|
// If no matching format can be found FormatUnknown is returned.
|
||
|
|
func ResponseFormat(h http.Header) Format {
|
||
|
|
ct := h.Get(hdrContentType)
|
||
|
|
|
||
|
|
mediatype, params, err := mime.ParseMediaType(ct)
|
||
|
|
if err != nil {
|
||
|
|
return FmtUnknown
|
||
|
|
}
|
||
|
|
|
||
|
|
const textType = "text/plain"
|
||
|
|
|
||
|
|
switch mediatype {
|
||
|
|
case ProtoType:
|
||
|
|
if p, ok := params["proto"]; ok && p != ProtoProtocol {
|
||
|
|
return FmtUnknown
|
||
|
|
}
|
||
|
|
if e, ok := params["encoding"]; ok && e != "delimited" {
|
||
|
|
return FmtUnknown
|
||
|
|
}
|
||
|
|
return FmtProtoDelim
|
||
|
|
|
||
|
|
case textType:
|
||
|
|
if v, ok := params["version"]; ok && v != TextVersion {
|
||
|
|
return FmtUnknown
|
||
|
|
}
|
||
|
|
return FmtText
|
||
|
|
}
|
||
|
|
|
||
|
|
return FmtUnknown
|
||
|
|
}
|
||
|
|
|
||
|
|
// NewDecoder returns a new decoder based on the given input format.
|
||
|
|
// If the input format does not imply otherwise, a text format decoder is returned.
|
||
|
|
func NewDecoder(r io.Reader, format Format) Decoder {
|
||
|
|
switch format {
|
||
|
|
case FmtProtoDelim:
|
||
|
|
return &protoDecoder{r: r}
|
||
|
|
}
|
||
|
|
return &textDecoder{r: r}
|
||
|
|
}
|
||
|
|
|
||
|
|
// protoDecoder implements the Decoder interface for protocol buffers.
|
||
|
|
type protoDecoder struct {
|
||
|
|
r io.Reader
|
||
|
|
}
|
||
|
|
|
||
|
|
// Decode implements the Decoder interface.
|
||
|
|
func (d *protoDecoder) Decode(v *dto.MetricFamily) error {
|
||
|
|
_, err := pbutil.ReadDelimited(d.r, v)
|
||
|
|
if err != nil {
|
||
|
|
return err
|
||
|
|
}
|
||
|
|
if !model.IsValidMetricName(model.LabelValue(v.GetName())) {
|
||
|
|
return fmt.Errorf("invalid metric name %q", v.GetName())
|
||
|
|
}
|
||
|
|
for _, m := range v.GetMetric() {
|
||
|
|
if m == nil {
|
||
|
|
continue
|
||
|
|
}
|
||
|
|
for _, l := range m.GetLabel() {
|
||
|
|
if l == nil {
|
||
|
|
continue
|
||
|
|
}
|
||
|
|
if !model.LabelValue(l.GetValue()).IsValid() {
|
||
|
|
return fmt.Errorf("invalid label value %q", l.GetValue())
|
||
|
|
}
|
||
|
|
if !model.LabelName(l.GetName()).IsValid() {
|
||
|
|
return fmt.Errorf("invalid label name %q", l.GetName())
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
return nil
|
||
|
|
}
|
||
|
|
|
||
|
|
// textDecoder implements the Decoder interface for the text protocol.
|
||
|
|
type textDecoder struct {
|
||
|
|
r io.Reader
|
||
|
|
p TextParser
|
||
|
|
fams []*dto.MetricFamily
|
||
|
|
}
|
||
|
|
|
||
|
|
// Decode implements the Decoder interface.
|
||
|
|
func (d *textDecoder) Decode(v *dto.MetricFamily) error {
|
||
|
|
// TODO(fabxc): Wrap this as a line reader to make streaming safer.
|
||
|
|
if len(d.fams) == 0 {
|
||
|
|
// No cached metric families, read everything and parse metrics.
|
||
|
|
fams, err := d.p.TextToMetricFamilies(d.r)
|
||
|
|
if err != nil {
|
||
|
|
return err
|
||
|
|
}
|
||
|
|
if len(fams) == 0 {
|
||
|
|
return io.EOF
|
||
|
|
}
|
||
|
|
d.fams = make([]*dto.MetricFamily, 0, len(fams))
|
||
|
|
for _, f := range fams {
|
||
|
|
d.fams = append(d.fams, f)
|
||
|
|
}
|
||
|
|
}
|
||
|
|
|
||
|
|
*v = *d.fams[0]
|
||
|
|
d.fams = d.fams[1:]
|
||
|
|
|
||
|
|
return nil
|
||
|
|
}
|
||
|
|
|
||
|
|
type SampleDecoder struct {
|
||
|
|
Dec Decoder
|
||
|
|
Opts *DecodeOptions
|
||
|
|
|
||
|
|
f dto.MetricFamily
|
||
|
|
}
|
||
|
|
|
||
|
|
func (sd *SampleDecoder) Decode(s *model.Vector) error {
|
||
|
|
if err := sd.Dec.Decode(&sd.f); err != nil {
|
||
|
|
return err
|
||
|
|
}
|
||
|
|
*s = extractSamples(&sd.f, sd.Opts)
|
||
|
|
return nil
|
||
|
|
}
|
||
|
|
|
||
|
|
// Extract samples builds a slice of samples from the provided metric families.
|
||
|
|
func ExtractSamples(o *DecodeOptions, fams ...*dto.MetricFamily) model.Vector {
|
||
|
|
var all model.Vector
|
||
|
|
for _, f := range fams {
|
||
|
|
all = append(all, extractSamples(f, o)...)
|
||
|
|
}
|
||
|
|
return all
|
||
|
|
}
|
||
|
|
|
||
|
|
func extractSamples(f *dto.MetricFamily, o *DecodeOptions) model.Vector {
|
||
|
|
switch f.GetType() {
|
||
|
|
case dto.MetricType_COUNTER:
|
||
|
|
return extractCounter(o, f)
|
||
|
|
case dto.MetricType_GAUGE:
|
||
|
|
return extractGauge(o, f)
|
||
|
|
case dto.MetricType_SUMMARY:
|
||
|
|
return extractSummary(o, f)
|
||
|
|
case dto.MetricType_UNTYPED:
|
||
|
|
return extractUntyped(o, f)
|
||
|
|
case dto.MetricType_HISTOGRAM:
|
||
|
|
return extractHistogram(o, f)
|
||
|
|
}
|
||
|
|
panic("expfmt.extractSamples: unknown metric family type")
|
||
|
|
}
|
||
|
|
|
||
|
|
func extractCounter(o *DecodeOptions, f *dto.MetricFamily) model.Vector {
|
||
|
|
samples := make(model.Vector, 0, len(f.Metric))
|
||
|
|
|
||
|
|
for _, m := range f.Metric {
|
||
|
|
if m.Counter == nil {
|
||
|
|
continue
|
||
|
|
}
|
||
|
|
|
||
|
|
lset := make(model.LabelSet, len(m.Label)+1)
|
||
|
|
for _, p := range m.Label {
|
||
|
|
lset[model.LabelName(p.GetName())] = model.LabelValue(p.GetValue())
|
||
|
|
}
|
||
|
|
lset[model.MetricNameLabel] = model.LabelValue(f.GetName())
|
||
|
|
|
||
|
|
smpl := &model.Sample{
|
||
|
|
Metric: model.Metric(lset),
|
||
|
|
Value: model.SampleValue(m.Counter.GetValue()),
|
||
|
|
}
|
||
|
|
|
||
|
|
if m.TimestampMs != nil {
|
||
|
|
smpl.Timestamp = model.TimeFromUnixNano(*m.TimestampMs * 1000000)
|
||
|
|
} else {
|
||
|
|
smpl.Timestamp = o.Timestamp
|
||
|
|
}
|
||
|
|
|
||
|
|
samples = append(samples, smpl)
|
||
|
|
}
|
||
|
|
|
||
|
|
return samples
|
||
|
|
}
|
||
|
|
|
||
|
|
func extractGauge(o *DecodeOptions, f *dto.MetricFamily) model.Vector {
|
||
|
|
samples := make(model.Vector, 0, len(f.Metric))
|
||
|
|
|
||
|
|
for _, m := range f.Metric {
|
||
|
|
if m.Gauge == nil {
|
||
|
|
continue
|
||
|
|
}
|
||
|
|
|
||
|
|
lset := make(model.LabelSet, len(m.Label)+1)
|
||
|
|
for _, p := range m.Label {
|
||
|
|
lset[model.LabelName(p.GetName())] = model.LabelValue(p.GetValue())
|
||
|
|
}
|
||
|
|
lset[model.MetricNameLabel] = model.LabelValue(f.GetName())
|
||
|
|
|
||
|
|
smpl := &model.Sample{
|
||
|
|
Metric: model.Metric(lset),
|
||
|
|
Value: model.SampleValue(m.Gauge.GetValue()),
|
||
|
|
}
|
||
|
|
|
||
|
|
if m.TimestampMs != nil {
|
||
|
|
smpl.Timestamp = model.TimeFromUnixNano(*m.TimestampMs * 1000000)
|
||
|
|
} else {
|
||
|
|
smpl.Timestamp = o.Timestamp
|
||
|
|
}
|
||
|
|
|
||
|
|
samples = append(samples, smpl)
|
||
|
|
}
|
||
|
|
|
||
|
|
return samples
|
||
|
|
}
|
||
|
|
|
||
|
|
func extractUntyped(o *DecodeOptions, f *dto.MetricFamily) model.Vector {
|
||
|
|
samples := make(model.Vector, 0, len(f.Metric))
|
||
|
|
|
||
|
|
for _, m := range f.Metric {
|
||
|
|
if m.Untyped == nil {
|
||
|
|
continue
|
||
|
|
}
|
||
|
|
|
||
|
|
lset := make(model.LabelSet, len(m.Label)+1)
|
||
|
|
for _, p := range m.Label {
|
||
|
|
lset[model.LabelName(p.GetName())] = model.LabelValue(p.GetValue())
|
||
|
|
}
|
||
|
|
lset[model.MetricNameLabel] = model.LabelValue(f.GetName())
|
||
|
|
|
||
|
|
smpl := &model.Sample{
|
||
|
|
Metric: model.Metric(lset),
|
||
|
|
Value: model.SampleValue(m.Untyped.GetValue()),
|
||
|
|
}
|
||
|
|
|
||
|
|
if m.TimestampMs != nil {
|
||
|
|
smpl.Timestamp = model.TimeFromUnixNano(*m.TimestampMs * 1000000)
|
||
|
|
} else {
|
||
|
|
smpl.Timestamp = o.Timestamp
|
||
|
|
}
|
||
|
|
|
||
|
|
samples = append(samples, smpl)
|
||
|
|
}
|
||
|
|
|
||
|
|
return samples
|
||
|
|
}
|
||
|
|
|
||
|
|
func extractSummary(o *DecodeOptions, f *dto.MetricFamily) model.Vector {
|
||
|
|
samples := make(model.Vector, 0, len(f.Metric))
|
||
|
|
|
||
|
|
for _, m := range f.Metric {
|
||
|
|
if m.Summary == nil {
|
||
|
|
continue
|
||
|
|
}
|
||
|
|
|
||
|
|
timestamp := o.Timestamp
|
||
|
|
if m.TimestampMs != nil {
|
||
|
|
timestamp = model.TimeFromUnixNano(*m.TimestampMs * 1000000)
|
||
|
|
}
|
||
|
|
|
||
|
|
for _, q := range m.Summary.Quantile {
|
||
|
|
lset := make(model.LabelSet, len(m.Label)+2)
|
||
|
|
for _, p := range m.Label {
|
||
|
|
lset[model.LabelName(p.GetName())] = model.LabelValue(p.GetValue())
|
||
|
|
}
|
||
|
|
// BUG(matt): Update other names to "quantile".
|
||
|
|
lset[model.LabelName(model.QuantileLabel)] = model.LabelValue(fmt.Sprint(q.GetQuantile()))
|
||
|
|
lset[model.MetricNameLabel] = model.LabelValue(f.GetName())
|
||
|
|
|
||
|
|
samples = append(samples, &model.Sample{
|
||
|
|
Metric: model.Metric(lset),
|
||
|
|
Value: model.SampleValue(q.GetValue()),
|
||
|
|
Timestamp: timestamp,
|
||
|
|
})
|
||
|
|
}
|
||
|
|
|
||
|
|
lset := make(model.LabelSet, len(m.Label)+1)
|
||
|
|
for _, p := range m.Label {
|
||
|
|
lset[model.LabelName(p.GetName())] = model.LabelValue(p.GetValue())
|
||
|
|
}
|
||
|
|
lset[model.MetricNameLabel] = model.LabelValue(f.GetName() + "_sum")
|
||
|
|
|
||
|
|
samples = append(samples, &model.Sample{
|
||
|
|
Metric: model.Metric(lset),
|
||
|
|
Value: model.SampleValue(m.Summary.GetSampleSum()),
|
||
|
|
Timestamp: timestamp,
|
||
|
|
})
|
||
|
|
|
||
|
|
lset = make(model.LabelSet, len(m.Label)+1)
|
||
|
|
for _, p := range m.Label {
|
||
|
|
lset[model.LabelName(p.GetName())] = model.LabelValue(p.GetValue())
|
||
|
|
}
|
||
|
|
lset[model.MetricNameLabel] = model.LabelValue(f.GetName() + "_count")
|
||
|
|
|
||
|
|
samples = append(samples, &model.Sample{
|
||
|
|
Metric: model.Metric(lset),
|
||
|
|
Value: model.SampleValue(m.Summary.GetSampleCount()),
|
||
|
|
Timestamp: timestamp,
|
||
|
|
})
|
||
|
|
}
|
||
|
|
|
||
|
|
return samples
|
||
|
|
}
|
||
|
|
|
||
|
|
func extractHistogram(o *DecodeOptions, f *dto.MetricFamily) model.Vector {
|
||
|
|
samples := make(model.Vector, 0, len(f.Metric))
|
||
|
|
|
||
|
|
for _, m := range f.Metric {
|
||
|
|
if m.Histogram == nil {
|
||
|
|
continue
|
||
|
|
}
|
||
|
|
|
||
|
|
timestamp := o.Timestamp
|
||
|
|
if m.TimestampMs != nil {
|
||
|
|
timestamp = model.TimeFromUnixNano(*m.TimestampMs * 1000000)
|
||
|
|
}
|
||
|
|
|
||
|
|
infSeen := false
|
||
|
|
|
||
|
|
for _, q := range m.Histogram.Bucket {
|
||
|
|
lset := make(model.LabelSet, len(m.Label)+2)
|
||
|
|
for _, p := range m.Label {
|
||
|
|
lset[model.LabelName(p.GetName())] = model.LabelValue(p.GetValue())
|
||
|
|
}
|
||
|
|
lset[model.LabelName(model.BucketLabel)] = model.LabelValue(fmt.Sprint(q.GetUpperBound()))
|
||
|
|
lset[model.MetricNameLabel] = model.LabelValue(f.GetName() + "_bucket")
|
||
|
|
|
||
|
|
if math.IsInf(q.GetUpperBound(), +1) {
|
||
|
|
infSeen = true
|
||
|
|
}
|
||
|
|
|
||
|
|
samples = append(samples, &model.Sample{
|
||
|
|
Metric: model.Metric(lset),
|
||
|
|
Value: model.SampleValue(q.GetCumulativeCount()),
|
||
|
|
Timestamp: timestamp,
|
||
|
|
})
|
||
|
|
}
|
||
|
|
|
||
|
|
lset := make(model.LabelSet, len(m.Label)+1)
|
||
|
|
for _, p := range m.Label {
|
||
|
|
lset[model.LabelName(p.GetName())] = model.LabelValue(p.GetValue())
|
||
|
|
}
|
||
|
|
lset[model.MetricNameLabel] = model.LabelValue(f.GetName() + "_sum")
|
||
|
|
|
||
|
|
samples = append(samples, &model.Sample{
|
||
|
|
Metric: model.Metric(lset),
|
||
|
|
Value: model.SampleValue(m.Histogram.GetSampleSum()),
|
||
|
|
Timestamp: timestamp,
|
||
|
|
})
|
||
|
|
|
||
|
|
lset = make(model.LabelSet, len(m.Label)+1)
|
||
|
|
for _, p := range m.Label {
|
||
|
|
lset[model.LabelName(p.GetName())] = model.LabelValue(p.GetValue())
|
||
|
|
}
|
||
|
|
lset[model.MetricNameLabel] = model.LabelValue(f.GetName() + "_count")
|
||
|
|
|
||
|
|
count := &model.Sample{
|
||
|
|
Metric: model.Metric(lset),
|
||
|
|
Value: model.SampleValue(m.Histogram.GetSampleCount()),
|
||
|
|
Timestamp: timestamp,
|
||
|
|
}
|
||
|
|
samples = append(samples, count)
|
||
|
|
|
||
|
|
if !infSeen {
|
||
|
|
// Append an infinity bucket sample.
|
||
|
|
lset := make(model.LabelSet, len(m.Label)+2)
|
||
|
|
for _, p := range m.Label {
|
||
|
|
lset[model.LabelName(p.GetName())] = model.LabelValue(p.GetValue())
|
||
|
|
}
|
||
|
|
lset[model.LabelName(model.BucketLabel)] = model.LabelValue("+Inf")
|
||
|
|
lset[model.MetricNameLabel] = model.LabelValue(f.GetName() + "_bucket")
|
||
|
|
|
||
|
|
samples = append(samples, &model.Sample{
|
||
|
|
Metric: model.Metric(lset),
|
||
|
|
Value: count.Value,
|
||
|
|
Timestamp: timestamp,
|
||
|
|
})
|
||
|
|
}
|
||
|
|
}
|
||
|
|
|
||
|
|
return samples
|
||
|
|
}
|