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metrics_telegraf_prometheus_v1.go
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metrics_telegraf_prometheus_v1.go
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package influx2otel
import (
"fmt"
"strconv"
"time"
"go.opentelemetry.io/collector/pdata/pcommon"
"go.opentelemetry.io/collector/pdata/pmetric"
"github.com/influxdata/influxdb-observability/common"
)
func (b *MetricsBatch) addPointTelegrafPrometheusV1(measurement string, tags map[string]string, fields map[string]interface{}, ts time.Time, vType common.InfluxMetricValueType) error {
vType = b.inferMetricValueTypeV1(vType, fields)
if vType == common.InfluxMetricValueTypeUntyped {
return errValueTypeUnknown
}
if ts.IsZero() {
ts = time.Now()
}
switch vType {
case common.InfluxMetricValueTypeGauge:
return b.convertGaugeV1(measurement, tags, fields, ts)
case common.InfluxMetricValueTypeSum:
return b.convertSumV1(measurement, tags, fields, ts)
case common.InfluxMetricValueTypeHistogram:
return b.convertHistogramV1(measurement, tags, fields, ts)
case common.InfluxMetricValueTypeSummary:
return b.convertSummaryV1(measurement, tags, fields, ts)
default:
return fmt.Errorf("impossible InfluxMetricValueType %d", vType)
}
}
// inferMetricValueTypeV1 attempts to derive a metric value type
// for line protocol data formatted as schema Telegraf/Prometheus V1.
//
// If the type cannot be inferred, then common.InfluxMetricValueTypeUntyped is returned.
func (b *MetricsBatch) inferMetricValueTypeV1(vType common.InfluxMetricValueType, fields map[string]interface{}) common.InfluxMetricValueType {
if vType != common.InfluxMetricValueTypeUntyped {
return vType
}
if _, found := fields[common.MetricGaugeFieldKey]; found {
return common.InfluxMetricValueTypeGauge
}
if _, found := fields[common.MetricCounterFieldKey]; found {
return common.InfluxMetricValueTypeSum
}
for k := range fields {
if k == common.MetricHistogramCountFieldKey || k == common.MetricHistogramSumFieldKey || isStringNumeric(k) {
// We cannot reliably distinguish between histogram and summary
// without knowing we have all points, so here we assume histogram.
return common.InfluxMetricValueTypeHistogram
}
}
return common.InfluxMetricValueTypeUntyped
}
func isStringNumeric(s string) bool {
_, err := strconv.ParseFloat(s, 64)
return err == nil
}
func (b *MetricsBatch) convertGaugeV1(measurement string, tags map[string]string, fields map[string]interface{}, ts time.Time) error {
if fieldValue, found := fields[common.MetricGaugeFieldKey]; found {
var floatValue *float64
var intValue *int64
switch typedValue := fieldValue.(type) {
case float64:
floatValue = &typedValue
case int64:
intValue = &typedValue
case uint64:
convertedTypedValue := int64(typedValue)
intValue = &convertedTypedValue
default:
return fmt.Errorf("unsupported gauge value type %T", fieldValue)
}
metric, attributes, err := b.lookupMetric(measurement, tags, common.InfluxMetricValueTypeGauge)
if err != nil {
return err
}
dataPoint := metric.Gauge().DataPoints().AppendEmpty()
attributes.CopyTo(dataPoint.Attributes())
dataPoint.SetTimestamp(pcommon.NewTimestampFromTime(ts))
if startTimeObj, ok := fields[common.AttributeStartTimeStatsd]; ok {
if startTimeStr, ok := startTimeObj.(string); ok {
if t, err := time.Parse(time.RFC3339, startTimeStr); err == nil {
dataPoint.SetStartTimestamp(pcommon.NewTimestampFromTime(t))
}
}
}
if flagsObj, ok := fields[common.AttributeFlags]; ok {
if flagsUint64, ok := flagsObj.(uint64); ok {
dataPoint.SetFlags(pmetric.DataPointFlags(flagsUint64))
}
}
if floatValue != nil {
dataPoint.SetDoubleValue(*floatValue)
} else if intValue != nil {
dataPoint.SetIntValue(*intValue)
} else {
panic("unreachable")
}
return nil
}
for k, fieldValue := range fields {
var floatValue *float64
var intValue *int64
if k == common.AttributeStartTimeStatsd || k == common.AttributeFlags {
continue
}
switch typedValue := fieldValue.(type) {
case float64:
floatValue = &typedValue
case int64:
intValue = &typedValue
case uint64:
convertedTypedValue := int64(typedValue)
intValue = &convertedTypedValue
default:
b.logger.Debug("unsupported gauge value type", "type", fmt.Sprintf("%T", fieldValue))
continue
}
metricName := fmt.Sprintf("%s_%s", measurement, k)
metric, attributes, err := b.lookupMetric(metricName, tags, common.InfluxMetricValueTypeGauge)
if err != nil {
return err
}
dataPoint := metric.Gauge().DataPoints().AppendEmpty()
attributes.CopyTo(dataPoint.Attributes())
dataPoint.SetTimestamp(pcommon.NewTimestampFromTime(ts))
if startTimeObj, ok := fields[common.AttributeStartTimeStatsd]; ok {
if startTimeStr, ok := startTimeObj.(string); ok {
if t, err := time.Parse(time.RFC3339, startTimeStr); err == nil {
dataPoint.SetStartTimestamp(pcommon.NewTimestampFromTime(t))
}
}
}
if flagsObj, ok := fields[common.AttributeFlags]; ok {
if flagsUint64, ok := flagsObj.(uint64); ok {
dataPoint.SetFlags(pmetric.DataPointFlags(flagsUint64))
}
}
if floatValue != nil {
dataPoint.SetDoubleValue(*floatValue)
} else if intValue != nil {
dataPoint.SetIntValue(*intValue)
} else {
panic("unreachable")
}
}
return nil
}
func (b *MetricsBatch) convertSumV1(measurement string, tags map[string]string, fields map[string]interface{}, ts time.Time) error {
if fieldValue, found := fields[common.MetricCounterFieldKey]; found {
var floatValue *float64
var intValue *int64
switch typedValue := fieldValue.(type) {
case float64:
floatValue = &typedValue
case int64:
intValue = &typedValue
case uint64:
convertedTypedValue := int64(typedValue)
intValue = &convertedTypedValue
default:
return fmt.Errorf("unsupported counter value type %T", fieldValue)
}
metric, attributes, err := b.lookupMetric(measurement, tags, common.InfluxMetricValueTypeSum)
if err != nil {
return err
}
dataPoint := metric.Sum().DataPoints().AppendEmpty()
attributes.CopyTo(dataPoint.Attributes())
dataPoint.SetTimestamp(pcommon.NewTimestampFromTime(ts))
if startTimeObj, ok := fields[common.AttributeStartTimeStatsd]; ok {
if startTimeStr, ok := startTimeObj.(string); ok {
if t, err := time.Parse(time.RFC3339, startTimeStr); err == nil {
dataPoint.SetStartTimestamp(pcommon.NewTimestampFromTime(t))
}
}
}
if flagsObj, ok := fields[common.AttributeFlags]; ok {
if flagsUint64, ok := flagsObj.(uint64); ok {
dataPoint.SetFlags(pmetric.DataPointFlags(flagsUint64))
}
}
if floatValue != nil {
dataPoint.SetDoubleValue(*floatValue)
} else if intValue != nil {
dataPoint.SetIntValue(*intValue)
} else {
panic("unreachable")
}
return nil
}
for k, fieldValue := range fields {
if k == common.AttributeStartTimeStatsd || k == common.AttributeFlags {
continue
}
var floatValue *float64
var intValue *int64
switch typedValue := fieldValue.(type) {
case float64:
floatValue = &typedValue
case int64:
intValue = &typedValue
case uint64:
convertedTypedValue := int64(typedValue)
intValue = &convertedTypedValue
default:
b.logger.Debug("unsupported counter value type", "type", fmt.Sprintf("%T", fieldValue))
continue
}
metricName := fmt.Sprintf("%s_%s", measurement, k)
metric, attributes, err := b.lookupMetric(metricName, tags, common.InfluxMetricValueTypeSum)
if err != nil {
return err
}
dataPoint := metric.Sum().DataPoints().AppendEmpty()
attributes.CopyTo(dataPoint.Attributes())
dataPoint.SetTimestamp(pcommon.NewTimestampFromTime(ts))
if startTimeObj, ok := fields[common.AttributeStartTimeStatsd]; ok {
if startTimeStr, ok := startTimeObj.(string); ok {
if t, err := time.Parse(time.RFC3339, startTimeStr); err == nil {
dataPoint.SetStartTimestamp(pcommon.NewTimestampFromTime(t))
}
}
}
if flagsObj, ok := fields[common.AttributeFlags]; ok {
if flagsUint64, ok := flagsObj.(uint64); ok {
dataPoint.SetFlags(pmetric.DataPointFlags(flagsUint64))
}
}
if floatValue != nil {
dataPoint.SetDoubleValue(*floatValue)
} else if intValue != nil {
dataPoint.SetIntValue(*intValue)
} else {
panic("unreachable")
}
}
return nil
}
func (b *MetricsBatch) convertHistogramV1(measurement string, tags map[string]string, fields map[string]interface{}, ts time.Time) error {
var count uint64
var foundCount bool
var sum float64
var foundSum bool
var bucketCounts []uint64
var explicitBounds []float64
for k, vi := range fields {
if k == common.MetricHistogramCountFieldKey {
foundCount = true
if vCount, ok := vi.(float64); !ok {
return fmt.Errorf("unsupported histogram count value type %T", vi)
} else {
count = uint64(vCount)
}
} else if k == common.MetricHistogramSumFieldKey {
foundSum = true
var ok bool
if sum, ok = vi.(float64); !ok {
return fmt.Errorf("unsupported histogram sum value type %T", vi)
}
} else if explicitBound, err := strconv.ParseFloat(k, 64); err == nil {
if vBucketCount, ok := vi.(float64); !ok {
return fmt.Errorf("unsupported histogram bucket bound value type %T", vi)
} else {
explicitBounds = append(explicitBounds, explicitBound)
bucketCounts = append(bucketCounts, uint64(vBucketCount))
}
} else if k == common.AttributeStartTimeStatsd || k == common.AttributeFlags {
} else {
b.logger.Debug("skipping unrecognized histogram field", "field", k, "value", vi)
}
}
if !foundCount {
return fmt.Errorf("histogram count field not found")
}
if !foundSum {
return fmt.Errorf("histogram sum field not found")
}
sortHistogramBuckets(bucketCounts, explicitBounds)
bucketsAreCumulative := true
for i := 0; i < len(bucketCounts)-1; i++ {
if bucketCounts[i] > bucketCounts[i+1] {
// this can happen when an untyped summary is handled as a histogram
bucketsAreCumulative = false
break
}
}
if bucketsAreCumulative {
for i := len(bucketCounts) - 1; i > 0; i-- {
bucketCounts[i] -= bucketCounts[i-1]
}
}
metric, attributes, err := b.lookupMetric(measurement, tags, common.InfluxMetricValueTypeHistogram)
if err != nil {
return err
}
dataPoint := metric.Histogram().DataPoints().AppendEmpty()
attributes.CopyTo(dataPoint.Attributes())
dataPoint.SetTimestamp(pcommon.NewTimestampFromTime(ts))
if startTimeObj, ok := fields[common.AttributeStartTimeStatsd]; ok {
if startTimeStr, ok := startTimeObj.(string); ok {
if t, err := time.Parse(time.RFC3339, startTimeStr); err == nil {
dataPoint.SetStartTimestamp(pcommon.NewTimestampFromTime(t))
}
}
}
if flagsObj, ok := fields[common.AttributeFlags]; ok {
if flagsUint64, ok := flagsObj.(uint64); ok {
dataPoint.SetFlags(pmetric.DataPointFlags(flagsUint64))
}
}
dataPoint.SetCount(count)
dataPoint.SetSum(sum)
dataPoint.BucketCounts().FromRaw(bucketCounts)
dataPoint.ExplicitBounds().FromRaw(explicitBounds)
return nil
}
func (b *MetricsBatch) convertSummaryV1(measurement string, tags map[string]string, fields map[string]interface{}, ts time.Time) error {
var count uint64
foundCount := false
var sum float64
foundSum := false
quantileValues := pmetric.NewSummaryDataPointValueAtQuantileSlice()
for k, vi := range fields {
if k == common.MetricSummaryCountFieldKey {
foundCount = true
if vCount, ok := vi.(float64); !ok {
return fmt.Errorf("unsupported summary count value type %T", vi)
} else {
count = uint64(vCount)
}
} else if k == common.MetricSummarySumFieldKey {
foundSum = true
var ok bool
if sum, ok = vi.(float64); !ok {
return fmt.Errorf("unsupported summary sum value type %T", vi)
}
} else if quantile, err := strconv.ParseFloat(k, 64); err == nil {
if value, ok := vi.(float64); !ok {
return fmt.Errorf("unsupported summary bucket bound value type %T", vi)
} else {
valueAtQuantile := quantileValues.AppendEmpty()
valueAtQuantile.SetQuantile(quantile)
valueAtQuantile.SetValue(value)
}
} else if k == common.AttributeStartTimeStatsd || k == common.AttributeFlags {
} else {
b.logger.Debug("skipping unrecognized summary field", "field", k, "value", vi)
}
}
if !foundCount {
return fmt.Errorf("summary count not found")
}
if !foundSum {
return fmt.Errorf("summary sum not found")
}
metric, attributes, err := b.lookupMetric(measurement, tags, common.InfluxMetricValueTypeSummary)
if err != nil {
return err
}
dataPoint := metric.Summary().DataPoints().AppendEmpty()
attributes.CopyTo(dataPoint.Attributes())
dataPoint.SetTimestamp(pcommon.NewTimestampFromTime(ts))
if startTimeObj, ok := fields[common.AttributeStartTimeStatsd]; ok {
if startTimeStr, ok := startTimeObj.(string); ok {
if t, err := time.Parse(time.RFC3339, startTimeStr); err == nil {
dataPoint.SetStartTimestamp(pcommon.NewTimestampFromTime(t))
}
}
}
if flagsObj, ok := fields[common.AttributeFlags]; ok {
if flagsUint64, ok := flagsObj.(uint64); ok {
dataPoint.SetFlags(pmetric.DataPointFlags(flagsUint64))
}
}
dataPoint.SetCount(count)
dataPoint.SetSum(sum)
quantileValues.MoveAndAppendTo(dataPoint.QuantileValues())
return nil
}