From ed8bc523fd0d1a66acf3fa449c453508035efdfc Mon Sep 17 00:00:00 2001 From: Kevin Lyda Date: Sun, 12 Feb 2017 14:38:12 +0000 Subject: Initial pass at prometheus support. (#56) --- .../github.com/prometheus/common/expfmt/decode.go | 429 +++++++++++++++++++++ 1 file changed, 429 insertions(+) create mode 100644 vendor/github.com/prometheus/common/expfmt/decode.go (limited to 'vendor/github.com/prometheus/common/expfmt/decode.go') 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..a7a42d5 --- /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 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 +} -- cgit v1.2.3