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//! A demonstration of customization of exported aggregated metrics.
//! Using match on origin metric kind or score type to alter publication output.
use dipstick::*;
use std::time::Duration;
fn main() {
fn custom_statistics(
kind: InputKind,
mut name: MetricName,
score: ScoreType,
) -> Option<(InputKind, MetricName, MetricValue)> {
match (kind, score) {
// do not export gauge scores
(InputKind::Gauge, _) => None,
// prepend and append to metric name
(_, ScoreType::Count(count)) => {
if let Some(last) = name.pop_back() {
Some((
InputKind::Counter,
name.append("customized_add_prefix")
.append(format!("{}_and_a_suffix", last)),
count,
))
} else {
None
}
}
// scaling the score value and appending unit to name
(kind, ScoreType::Sum(sum)) => Some((kind, name.append("per_thousand"), sum / 1000)),
// using the unmodified metric name
(kind, ScoreType::Mean(avg)) => Some((kind, name, avg.round() as MetricValue)),
// do not export min and max
_ => None,
}
}
// send application metrics to aggregator
AtomicBucket::default_drain(Stream::write_to_stderr());
AtomicBucket::default_stats(custom_statistics);
let app_metrics = AtomicBucket::new();
// schedule aggregated metrics to be printed every 3 seconds
app_metrics.flush_every(Duration::from_secs(3));
let counter = app_metrics.counter("counter_a");
let timer = app_metrics.timer("timer_b");
let gauge = app_metrics.gauge("gauge_c");
loop {
counter.count(11);
timer.interval_us(654654);
gauge.value(3534);
}
}