client_golang/extraction/processor0_0_2.go

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// Copyright 2013 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 extraction
import (
"encoding/json"
"fmt"
"io"
"github.com/prometheus/client_golang/model"
)
// Processor002 is responsible for decoding payloads from protocol version
// 0.0.2.
var Processor002 = &processor002{}
type histogram002 struct {
Labels map[string]string `json:"labels"`
Values map[string]model.SampleValue `json:"value"`
}
type counter002 struct {
Labels map[string]string `json:"labels"`
Value model.SampleValue `json:"value"`
}
type processor002 struct{}
func (p *processor002) ProcessSingle(in io.Reader, out Ingester, o *ProcessOptions) error {
// Processor for telemetry schema version 0.0.2.
// container for telemetry data
var entities []struct {
BaseLabels map[string]string `json:"baseLabels"`
Docstring string `json:"docstring"`
Metric struct {
Type string `json:"type"`
Values json.RawMessage `json:"value"`
} `json:"metric"`
}
if err := json.NewDecoder(in).Decode(&entities); err != nil {
return err
}
pendingSamples := model.Samples{}
for _, entity := range entities {
switch entity.Metric.Type {
case "counter", "gauge":
var values []counter002
if err := json.Unmarshal(entity.Metric.Values, &values); err != nil {
return fmt.Errorf("could not extract %s value: %s", entity.Metric.Type, err)
}
for _, counter := range values {
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labels := labelSet(entity.BaseLabels).Merge(labelSet(counter.Labels))
pendingSamples = append(pendingSamples, &model.Sample{
Metric: model.Metric(labels),
Timestamp: o.Timestamp,
Value: counter.Value,
})
}
case "histogram":
var values []histogram002
if err := json.Unmarshal(entity.Metric.Values, &values); err != nil {
return fmt.Errorf("could not extract %s value: %s", entity.Metric.Type, err)
}
for _, histogram := range values {
for percentile, value := range histogram.Values {
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labels := labelSet(entity.BaseLabels).Merge(labelSet(histogram.Labels))
labels[model.LabelName("percentile")] = model.LabelValue(percentile)
pendingSamples = append(pendingSamples, &model.Sample{
Metric: model.Metric(labels),
Timestamp: o.Timestamp,
Value: value,
})
}
}
default:
return fmt.Errorf("unknown metric type %q", entity.Metric.Type)
}
}
if len(pendingSamples) > 0 {
return out.Ingest(pendingSamples)
}
return nil
}