Add support for shm-size.

Signed-off-by: Daniel J Walsh <dwalsh@redhat.com>

Closes: #206
Approved by: TomSweeneyRedHat

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
-}