// FillPrometheusMetric fills the appropriate metric fields.
func (h *Histogram) FillPrometheusMetric(promMetric *prometheusgo.MetricFamily) {
// TODO(mjibson): change to a Histogram once bucket counts are reasonable
sum := &prometheusgo.Summary{}
h.mu.Lock()
maybeTick(h)
merged := h.windowed.Merge()
for _, b := range merged.CumulativeDistribution() {
sum.Quantile = append(sum.Quantile, &prometheusgo.Quantile{
Quantile: proto.Float64(b.Quantile),
Value: proto.Float64(float64(b.ValueAt)),
})
}
sum.SampleCount = proto.Uint64(uint64(merged.TotalCount()))
h.mu.Unlock()
promMetric.Type = prometheusgo.MetricType_SUMMARY.Enum()
promMetric.Metric = []*prometheusgo.Metric{
{Summary: sum},
}
}
// FillPrometheusMetric fills the appropriate metric fields.
func (g *GaugeFloat64) FillPrometheusMetric(promMetric *prometheusgo.MetricFamily) {
promMetric.Type = prometheusgo.MetricType_GAUGE.Enum()
promMetric.Metric = []*prometheusgo.Metric{
{Gauge: &prometheusgo.Gauge{Value: proto.Float64(g.GaugeFloat64.Value())}},
}
}
// FillPrometheusMetric fills the appropriate metric fields.
func (c *Counter) FillPrometheusMetric(promMetric *prometheusgo.MetricFamily) {
promMetric.Type = prometheusgo.MetricType_COUNTER.Enum()
promMetric.Metric = []*prometheusgo.Metric{
{Counter: &prometheusgo.Counter{Value: proto.Float64(float64(c.Counter.Count()))}},
}
}