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authorDaniel J Walsh <dwalsh@redhat.com>2018-01-10 15:58:18 -0500
committerAtomic Bot <atomic-devel@projectatomic.io>2018-01-11 12:39:06 +0000
commitdd0d35deb098b63f8c5be7ef9d8d63c16760221b (patch)
tree695d44a49d636e45e4121c9aecfb3d8c0e1cca06 /vendor/github.com/prometheus/common/expfmt/decode.go
parente6be800ec633342aef656e0a2ed0bdc4519796d9 (diff)
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Add support for shm-size.
Signed-off-by: Daniel J Walsh <dwalsh@redhat.com> Closes: #206 Approved by: TomSweeneyRedHat
Diffstat (limited to 'vendor/github.com/prometheus/common/expfmt/decode.go')
-rw-r--r--vendor/github.com/prometheus/common/expfmt/decode.go429
1 files changed, 0 insertions, 429 deletions
diff --git a/vendor/github.com/prometheus/common/expfmt/decode.go b/vendor/github.com/prometheus/common/expfmt/decode.go
deleted file mode 100644
index a7a42d5ef..000000000
--- a/vendor/github.com/prometheus/common/expfmt/decode.go
+++ /dev/null
@@ -1,429 +0,0 @@
-// 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
-}
-
-// DecodeOptions contains options used by the Decoder and in sample extraction.
-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
-}
-
-// SampleDecoder wraps a Decoder to extract samples from the metric families
-// decoded by the wrapped Decoder.
-type SampleDecoder struct {
- Dec Decoder
- Opts *DecodeOptions
-
- f dto.MetricFamily
-}
-
-// Decode calls the Decode method of the wrapped Decoder and then extracts the
-// samples from the decoded MetricFamily into the provided model.Vector.
-func (sd *SampleDecoder) Decode(s *model.Vector) error {
- err := sd.Dec.Decode(&sd.f)
- if err != nil {
- return err
- }
- *s, err = extractSamples(&sd.f, sd.Opts)
- return err
-}
-
-// ExtractSamples builds a slice of samples from the provided metric
-// families. If an error occurs during sample extraction, it continues to
-// extract from the remaining metric families. The returned error is the last
-// error that has occured.
-func ExtractSamples(o *DecodeOptions, fams ...*dto.MetricFamily) (model.Vector, error) {
- var (
- all model.Vector
- lastErr error
- )
- for _, f := range fams {
- some, err := extractSamples(f, o)
- if err != nil {
- lastErr = err
- continue
- }
- all = append(all, some...)
- }
- return all, lastErr
-}
-
-func extractSamples(f *dto.MetricFamily, o *DecodeOptions) (model.Vector, error) {
- switch f.GetType() {
- case dto.MetricType_COUNTER:
- return extractCounter(o, f), nil
- case dto.MetricType_GAUGE:
- return extractGauge(o, f), nil
- case dto.MetricType_SUMMARY:
- return extractSummary(o, f), nil
- case dto.MetricType_UNTYPED:
- return extractUntyped(o, f), nil
- case dto.MetricType_HISTOGRAM:
- return extractHistogram(o, f), nil
- }
- return nil, fmt.Errorf("expfmt.extractSamples: unknown metric family type %v", f.GetType())
-}
-
-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
-}