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metrics_to_prw.go
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/
metrics_to_prw.go
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// DO NOT EDIT. COPIED AS-IS. SEE ../README.md
// Copyright The OpenTelemetry Authors
// SPDX-License-Identifier: Apache-2.0
package prometheusremotewrite // import "github.com/prometheus/prometheus/storage/remote/otlptranslator/prometheusremotewrite"
import (
"errors"
"fmt"
"github.com/prometheus/prometheus/prompb"
"go.opentelemetry.io/collector/pdata/pcommon"
"go.opentelemetry.io/collector/pdata/pmetric"
"go.uber.org/multierr"
prometheustranslator "github.com/prometheus/prometheus/storage/remote/otlptranslator/prometheus"
)
type Settings struct {
Namespace string
ExternalLabels map[string]string
DisableTargetInfo bool
ExportCreatedMetric bool
AddMetricSuffixes bool
SendMetadata bool
}
// FromMetrics converts pmetric.Metrics to Prometheus remote write format.
func FromMetrics(md pmetric.Metrics, settings Settings) (tsMap map[string]*prompb.TimeSeries, errs error) {
tsMap = make(map[string]*prompb.TimeSeries)
resourceMetricsSlice := md.ResourceMetrics()
for i := 0; i < resourceMetricsSlice.Len(); i++ {
resourceMetrics := resourceMetricsSlice.At(i)
resource := resourceMetrics.Resource()
scopeMetricsSlice := resourceMetrics.ScopeMetrics()
// keep track of the most recent timestamp in the ResourceMetrics for
// use with the "target" info metric
var mostRecentTimestamp pcommon.Timestamp
for j := 0; j < scopeMetricsSlice.Len(); j++ {
scopeMetrics := scopeMetricsSlice.At(j)
metricSlice := scopeMetrics.Metrics()
// TODO: decide if instrumentation library information should be exported as labels
for k := 0; k < metricSlice.Len(); k++ {
metric := metricSlice.At(k)
mostRecentTimestamp = maxTimestamp(mostRecentTimestamp, mostRecentTimestampInMetric(metric))
if !isValidAggregationTemporality(metric) {
errs = multierr.Append(errs, fmt.Errorf("invalid temporality and type combination for metric %q", metric.Name()))
continue
}
promName := prometheustranslator.BuildCompliantName(metric, settings.Namespace, settings.AddMetricSuffixes)
// handle individual metric based on type
//exhaustive:enforce
switch metric.Type() {
case pmetric.MetricTypeGauge:
dataPoints := metric.Gauge().DataPoints()
if dataPoints.Len() == 0 {
errs = multierr.Append(errs, fmt.Errorf("empty data points. %s is dropped", metric.Name()))
}
for x := 0; x < dataPoints.Len(); x++ {
addSingleGaugeNumberDataPoint(dataPoints.At(x), resource, metric, settings, tsMap, promName)
}
case pmetric.MetricTypeSum:
dataPoints := metric.Sum().DataPoints()
if dataPoints.Len() == 0 {
errs = multierr.Append(errs, fmt.Errorf("empty data points. %s is dropped", metric.Name()))
}
for x := 0; x < dataPoints.Len(); x++ {
addSingleSumNumberDataPoint(dataPoints.At(x), resource, metric, settings, tsMap, promName)
}
case pmetric.MetricTypeHistogram:
dataPoints := metric.Histogram().DataPoints()
if dataPoints.Len() == 0 {
errs = multierr.Append(errs, fmt.Errorf("empty data points. %s is dropped", metric.Name()))
}
for x := 0; x < dataPoints.Len(); x++ {
addSingleHistogramDataPoint(dataPoints.At(x), resource, metric, settings, tsMap, promName)
}
case pmetric.MetricTypeExponentialHistogram:
dataPoints := metric.ExponentialHistogram().DataPoints()
if dataPoints.Len() == 0 {
errs = multierr.Append(errs, fmt.Errorf("empty data points. %s is dropped", metric.Name()))
}
for x := 0; x < dataPoints.Len(); x++ {
errs = multierr.Append(
errs,
addSingleExponentialHistogramDataPoint(
promName,
dataPoints.At(x),
resource,
settings,
tsMap,
),
)
}
case pmetric.MetricTypeSummary:
dataPoints := metric.Summary().DataPoints()
if dataPoints.Len() == 0 {
errs = multierr.Append(errs, fmt.Errorf("empty data points. %s is dropped", metric.Name()))
}
for x := 0; x < dataPoints.Len(); x++ {
addSingleSummaryDataPoint(dataPoints.At(x), resource, metric, settings, tsMap, promName)
}
default:
errs = multierr.Append(errs, errors.New("unsupported metric type"))
}
}
}
addResourceTargetInfo(resource, settings, mostRecentTimestamp, tsMap)
}
return
}