func()

in collector/receiver/prometheusreceiver/internal/metricfamily.go [100:158]
43 lines of code
12 McCabe index (conditional complexity)

func (mg *metricGroup) toDistributionPoint(dest pmetric.HistogramDataPointSlice) {
	if !mg.hasCount || len(mg.complexValue) == 0 {
		return
	}

	mg.sortPoints()

	// for OTLP the bounds won't include +inf
	bounds := make([]float64, len(mg.complexValue)-1)
	bucketCounts := make([]uint64, len(mg.complexValue))

	pointIsStale := value.IsStaleNaN(mg.sum) || value.IsStaleNaN(mg.count)

	for i := 0; i < len(mg.complexValue); i++ {
		if i != len(mg.complexValue)-1 {
			// not need to add +inf as OTLP assumes it
			bounds[i] = mg.complexValue[i].boundary
		} else if mg.complexValue[i].boundary != math.Inf(1) {
			// This histogram is missing the +Inf bucket, and isn't a complete prometheus histogram.
			return
		}
		adjustedCount := mg.complexValue[i].value
		// Buckets still need to be sent to know to set them as stale,
		// but a staleness NaN converted to uint64 would be an extremely large number.
		// Setting to 0 instead.
		if pointIsStale {
			adjustedCount = 0
		} else if i != 0 {
			adjustedCount -= mg.complexValue[i-1].value
		}
		bucketCounts[i] = uint64(adjustedCount)
	}

	point := dest.AppendEmpty()

	if pointIsStale {
		point.SetFlags(pmetric.DefaultDataPointFlags.WithNoRecordedValue(true))
	} else {
		point.SetCount(uint64(mg.count))
		if mg.hasSum {
			point.SetSum(mg.sum)
		}
	}

	point.ExplicitBounds().FromRaw(bounds)
	point.BucketCounts().FromRaw(bucketCounts)

	// The timestamp MUST be in retrieved from milliseconds and converted to nanoseconds.
	tsNanos := timestampFromMs(mg.ts)
	if mg.created != 0 {
		point.SetStartTimestamp(timestampFromFloat64(mg.created))
	} else {
		// metrics_adjuster adjusts the startTimestamp to the initial scrape timestamp
		point.SetStartTimestamp(tsNanos)
	}
	point.SetTimestamp(tsNanos)
	populateAttributes(pmetric.MetricTypeHistogram, mg.ls, point.Attributes())
	mg.setExemplars(point.Exemplars())
}