[VOL-2235] Mocks and interfaces for rw-core
This update consists of mocks that are used by the rw-core
during unit testing. It also includes interfaces used for unit
tests.
Change-Id: I20ca1455c358113c3aa897acc6355e0ddbc614b7
diff --git a/vendor/github.com/prometheus/common/expfmt/decode.go b/vendor/github.com/prometheus/common/expfmt/decode.go
new file mode 100644
index 0000000..c092723
--- /dev/null
+++ b/vendor/github.com/prometheus/common/expfmt/decode.go
@@ -0,0 +1,429 @@
+// 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 occurrs during sample extraction, it continues to
+// extract from the remaining metric families. The returned error is the last
+// error that has occurred.
+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
+}