badge-gen/vendor/github.com/prometheus/common/expfmt/json_decode.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 (
	"encoding/json"
	"fmt"
	"io"
	"sort"

	"github.com/golang/protobuf/proto"
	dto "github.com/prometheus/client_model/go"

	"github.com/prometheus/common/model"
)

type json2Decoder struct {
	dec  *json.Decoder
	fams []*dto.MetricFamily
}

func newJSON2Decoder(r io.Reader) Decoder {
	return &json2Decoder{
		dec: json.NewDecoder(r),
	}
}

type histogram002 struct {
	Labels model.LabelSet     `json:"labels"`
	Values map[string]float64 `json:"value"`
}

type counter002 struct {
	Labels model.LabelSet `json:"labels"`
	Value  float64        `json:"value"`
}

func protoLabelSet(base, ext model.LabelSet) []*dto.LabelPair {
	labels := base.Clone().Merge(ext)
	delete(labels, model.MetricNameLabel)

	names := make([]string, 0, len(labels))
	for ln := range labels {
		names = append(names, string(ln))
	}
	sort.Strings(names)

	pairs := make([]*dto.LabelPair, 0, len(labels))

	for _, ln := range names {
		lv := labels[model.LabelName(ln)]

		pairs = append(pairs, &dto.LabelPair{
			Name:  proto.String(ln),
			Value: proto.String(string(lv)),
		})
	}

	return pairs
}

func (d *json2Decoder) more() error {
	var entities []struct {
		BaseLabels model.LabelSet `json:"baseLabels"`
		Docstring  string         `json:"docstring"`
		Metric     struct {
			Type   string          `json:"type"`
			Values json.RawMessage `json:"value"`
		} `json:"metric"`
	}

	if err := d.dec.Decode(&entities); err != nil {
		return err
	}
	for _, e := range entities {
		f := &dto.MetricFamily{
			Name:   proto.String(string(e.BaseLabels[model.MetricNameLabel])),
			Help:   proto.String(e.Docstring),
			Type:   dto.MetricType_UNTYPED.Enum(),
			Metric: []*dto.Metric{},
		}

		d.fams = append(d.fams, f)

		switch e.Metric.Type {
		case "counter", "gauge":
			var values []counter002

			if err := json.Unmarshal(e.Metric.Values, &values); err != nil {
				return fmt.Errorf("could not extract %s value: %s", e.Metric.Type, err)
			}

			for _, ctr := range values {
				f.Metric = append(f.Metric, &dto.Metric{
					Label: protoLabelSet(e.BaseLabels, ctr.Labels),
					Untyped: &dto.Untyped{
						Value: proto.Float64(ctr.Value),
					},
				})
			}

		case "histogram":
			var values []histogram002

			if err := json.Unmarshal(e.Metric.Values, &values); err != nil {
				return fmt.Errorf("could not extract %s value: %s", e.Metric.Type, err)
			}

			for _, hist := range values {
				quants := make([]string, 0, len(values))
				for q := range hist.Values {
					quants = append(quants, q)
				}

				sort.Strings(quants)

				for _, q := range quants {
					value := hist.Values[q]
					// The correct label is "quantile" but to not break old expressions
					// this remains "percentile"
					hist.Labels["percentile"] = model.LabelValue(q)

					f.Metric = append(f.Metric, &dto.Metric{
						Label: protoLabelSet(e.BaseLabels, hist.Labels),
						Untyped: &dto.Untyped{
							Value: proto.Float64(value),
						},
					})
				}
			}

		default:
			return fmt.Errorf("unknown metric type %q", e.Metric.Type)
		}
	}
	return nil
}

// Decode implements the Decoder interface.
func (d *json2Decoder) Decode(v *dto.MetricFamily) error {
	if len(d.fams) == 0 {
		if err := d.more(); err != nil {
			return err
		}
	}

	*v = *d.fams[0]
	d.fams = d.fams[1:]

	return nil
}