mirror of https://github.com/prometheus/prometheus
107 lines
3.0 KiB
Go
107 lines
3.0 KiB
Go
// DO NOT EDIT. COPIED AS-IS. SEE ../README.md
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// Copyright The OpenTelemetry Authors
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// SPDX-License-Identifier: Apache-2.0
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package prometheusremotewrite // import "github.com/prometheus/prometheus/storage/remote/otlptranslator/prometheusremotewrite"
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import (
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"math"
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"github.com/prometheus/common/model"
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"github.com/prometheus/prometheus/model/value"
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"github.com/prometheus/prometheus/prompb"
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"go.opentelemetry.io/collector/pdata/pcommon"
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"go.opentelemetry.io/collector/pdata/pmetric"
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)
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// addSingleGaugeNumberDataPoint converts the Gauge metric data point to a
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// Prometheus time series with samples and labels. The result is stored in the
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// series map.
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func addSingleGaugeNumberDataPoint(
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pt pmetric.NumberDataPoint,
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resource pcommon.Resource,
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metric pmetric.Metric,
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settings Settings,
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series map[string]*prompb.TimeSeries,
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name string,
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) {
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labels := createAttributes(
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resource,
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pt.Attributes(),
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settings.ExternalLabels,
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model.MetricNameLabel,
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name,
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)
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sample := &prompb.Sample{
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// convert ns to ms
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Timestamp: convertTimeStamp(pt.Timestamp()),
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}
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switch pt.ValueType() {
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case pmetric.NumberDataPointValueTypeInt:
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sample.Value = float64(pt.IntValue())
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case pmetric.NumberDataPointValueTypeDouble:
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sample.Value = pt.DoubleValue()
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}
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if pt.Flags().NoRecordedValue() {
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sample.Value = math.Float64frombits(value.StaleNaN)
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}
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addSample(series, sample, labels, metric.Type().String())
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}
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// addSingleSumNumberDataPoint converts the Sum metric data point to a Prometheus
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// time series with samples, labels and exemplars. The result is stored in the
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// series map.
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func addSingleSumNumberDataPoint(
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pt pmetric.NumberDataPoint,
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resource pcommon.Resource,
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metric pmetric.Metric,
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settings Settings,
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series map[string]*prompb.TimeSeries,
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name string,
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) {
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labels := createAttributes(
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resource,
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pt.Attributes(),
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settings.ExternalLabels,
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model.MetricNameLabel, name,
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)
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sample := &prompb.Sample{
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// convert ns to ms
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Timestamp: convertTimeStamp(pt.Timestamp()),
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}
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switch pt.ValueType() {
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case pmetric.NumberDataPointValueTypeInt:
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sample.Value = float64(pt.IntValue())
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case pmetric.NumberDataPointValueTypeDouble:
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sample.Value = pt.DoubleValue()
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}
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if pt.Flags().NoRecordedValue() {
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sample.Value = math.Float64frombits(value.StaleNaN)
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}
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sig := addSample(series, sample, labels, metric.Type().String())
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if ts := series[sig]; sig != "" && ts != nil {
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exemplars := getPromExemplars[pmetric.NumberDataPoint](pt)
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ts.Exemplars = append(ts.Exemplars, exemplars...)
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}
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// add _created time series if needed
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if settings.ExportCreatedMetric && metric.Sum().IsMonotonic() {
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startTimestamp := pt.StartTimestamp()
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if startTimestamp == 0 {
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return
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}
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createdLabels := make([]prompb.Label, len(labels))
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copy(createdLabels, labels)
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for i, l := range createdLabels {
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if l.Name == model.MetricNameLabel {
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createdLabels[i].Value = name + createdSuffix
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break
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}
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}
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addCreatedTimeSeriesIfNeeded(series, createdLabels, startTimestamp, pt.Timestamp(), metric.Type().String())
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}
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}
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