Watch
0
0
Fork
You've already forked hyperhive
0

review classifier: export request, verdict, check and run metrics, with a dashboard

The controller counts review requests, verdicts and per-check results and times each run; the classifier service counts retried asks. A provisioned Grafana dashboard charts them.
This commit is contained in:
atlas 2026-10-24 18:50:03 +02:00 • committed by mara
commit eaf26aaadd

View file

@ -0,0 +1,283 @@
//! OTEL export of what review requests and review runs come to: the counters
//! `hyperhive.review_classifier.requests` (`outcome`), `.verdicts` (`outcome`)
//! and `.checks` (`check`, `result`), and the histogram
//! `hyperhive.review_classifier.run.duration` in seconds (`outcome`). The
//! classifier service exports the retries beside its cost counters, see
//! `swarm-review-classifier`'s `cost` module.
//!
//! Same exporter as [`crate::vcs_metrics`], built on the first record; with no
//! `OTEL_EXPORTER_OTLP_ENDPOINT` every record does nothing.
use std::sync::{Arc, OnceLock};
use opentelemetry::KeyValue;
use opentelemetry::metrics::{Counter, Histogram, MeterProvider as _};
use opentelemetry_sdk::metrics::SdkMeterProvider;
use swarm_wire::review_classifier::{Row, Verdict as RowVerdict};
use super::runs::RunOutcome;
/// What became of a review request.
#[derive(Debug, Clone, Copy)]
pub(super) enum Request {
/// Stored in the request queue.
Queued,
/// The queue did not store it; a no-verdict comment was posted.
QueueFailed,
/// Taken from the queue but unreadable, and dropped.
Unparsable,
/// Taken while the PR's review was going; put back in the queue.
Deferred,
/// Taken, and a fresh run began.
Started,
/// Taken for a head already reviewed; its verdict was posted again.
Reposted,
}
impl Request {
const fn label(self) -> &'static str {
match self {
Self::Queued => "queued",
Self::QueueFailed => "queue_failed",
Self::Unparsable => "unparsable",
Self::Deferred => "deferred",
Self::Started => "started",
Self::Reposted => "reposted",
}
}
}
/// The review event a run chose.
#[derive(Debug, Clone, Copy)]
pub(super) enum Choice {
Approve,
RequestChanges,
NoVerdict,
}
impl Choice {
const fn label(self) -> &'static str {
match self {
Self::Approve => "approve",
Self::RequestChanges => "request_changes",
Self::NoVerdict => "no_verdict",
}
}
}
/// A run's `outcome` label: the verdict names, plus `post_failed`.
const fn run_label(outcome: RunOutcome) -> &'static str {
match outcome {
RunOutcome::Approved => "approve",
RunOutcome::ChangesRequested => "request_changes",
RunOutcome::NoVerdict => "no_verdict",
RunOutcome::PostFailed => "post_failed",
RunOutcome::QueueFull => "queue_full",
RunOutcome::Done => "done",
RunOutcome::Failed => "failed",
}
}
/// A row's `result` label.
const fn check_result(row: &Row) -> &'static str {
match (row.error.is_some(), row.verdict) {
(true, _) => "no_answer",
(false, RowVerdict::Match) => "match",
(false, RowVerdict::NoMatch) => "no_match",
(false, RowVerdict::NotApplicable) => "unsure",
}
}
/// Seconds. A run is one model call per classification plus the forge reads
/// and the post.
const DURATION_BOUNDARIES: [f64; 12] = [
1.0, 2.0, 5.0, 10.0, 20.0, 30.0, 60.0, 90.0, 120.0, 180.0, 300.0, 600.0,
];
struct Instruments {
/// Exports only while it lives.
_provider: SdkMeterProvider,
requests: Counter<u64>,
verdicts: Counter<u64>,
checks: Counter<u64>,
duration: Histogram<f64>,
}
impl Instruments {
fn new(provider: &SdkMeterProvider) -> Self {
let meter = provider.meter("hyperhive.review_classifier");
Self {
_provider: provider.clone(),
requests: meter
.u64_counter("hyperhive.review_classifier.requests")
.build(),
verdicts: meter
.u64_counter("hyperhive.review_classifier.verdicts")
.build(),
checks: meter
.u64_counter("hyperhive.review_classifier.checks")
.build(),
duration: meter
.f64_histogram("hyperhive.review_classifier.run.duration")
.with_unit("s")
.with_boundaries(DURATION_BOUNDARIES.to_vec())
.build(),
}
}
}
/// The recorder: a handle on the instruments, or on nothing where no
/// collector is configured.
#[derive(Clone)]
pub(crate) struct Metrics(Option<Arc<Instruments>>);
static GLOBAL: OnceLock<Option<Arc<Instruments>>> = OnceLock::new();
impl Metrics {
/// The process's recorder, building its exporter on the first call.
pub(crate) fn global() -> Self {
Self(GLOBAL.get_or_init(|| build().map(Arc::new)).clone())
}
/// Records nothing.
#[cfg(test)]
pub(super) const fn off() -> Self {
Self(None)
}
/// Instruments on `provider`.
#[cfg(test)]
pub(super) fn on(provider: &SdkMeterProvider) -> Self {
Self(Some(Arc::new(Instruments::new(provider))))
}
pub(super) fn request(&self, request: Request) {
if let Some(inst) = &self.0 {
inst.requests
.add(1, &[KeyValue::new("outcome", request.label())]);
}
}
pub(super) fn verdict(&self, choice: Choice) {
if let Some(inst) = &self.0 {
inst.verdicts
.add(1, &[KeyValue::new("outcome", choice.label())]);
}
}
/// One count per classification the run answered or failed to.
pub(super) fn checks(&self, rows: &[Row]) {
let Some(inst) = &self.0 else { return };
for row in rows {
inst.checks.add(
1,
&[
KeyValue::new("check", row.name.clone()),
KeyValue::new("result", check_result(row)),
],
);
}
}
pub(super) fn run_duration(&self, outcome: RunOutcome, seconds: f64) {
if let Some(inst) = &self.0 {
inst.duration
.record(seconds, &[KeyValue::new("outcome", run_label(outcome))]);
}
}
}
fn build() -> Option<Instruments> {
let endpoint = crate::vcs_metrics::endpoint()?;
let interval = crate::vcs_metrics::EXPORT_INTERVAL;
match crate::vcs_metrics::build_provider(interval) {
Ok(provider) => {
tracing::info!(%endpoint, ?interval, "otel review-classifier metrics: exporter enabled");
Some(Instruments::new(&provider))
}
Err(e) => {
tracing::warn!(error = ?e, "otel review-classifier metrics: exporter init failed");
None
}
}
}
#[cfg(test)]
pub(super) mod testing {
use std::collections::BTreeMap;
use opentelemetry_sdk::metrics::data::{
AggregatedMetrics, MetricData, ResourceMetrics, ScopeMetrics,
};
use opentelemetry_sdk::metrics::{InMemoryMetricExporter, PeriodicReader};
use super::{Metrics, SdkMeterProvider};
/// Instruments on a provider that exports to memory.
pub(in crate::review_classifier) struct Recorder {
pub(in crate::review_classifier) metrics: Metrics,
provider: SdkMeterProvider,
exporter: InMemoryMetricExporter,
}
impl Recorder {
pub(in crate::review_classifier) fn new() -> Self {
let exporter = InMemoryMetricExporter::default();
let reader = PeriodicReader::builder(exporter.clone()).build();
let provider = SdkMeterProvider::builder().with_reader(reader).build();
Self {
metrics: Metrics::on(&provider),
provider,
exporter,
}
}
/// `read` of the newest export of the metric `name`.
fn export<R>(&self, name: &str, read: impl FnOnce(&AggregatedMetrics) -> R) -> Option<R> {
self.provider.force_flush().expect("flush");
let all = self.exporter.get_finished_metrics().expect("metrics");
all.last()
.into_iter()
.flat_map(ResourceMetrics::scope_metrics)
.flat_map(ScopeMetrics::metrics)
.find(|m| m.name() == name)
.map(|m| read(m.data()))
}
/// The counter `name`'s value per label set, each set as
/// `key=value,key=value` in key order. Empty when nothing was added.
pub(in crate::review_classifier) fn counter(&self, name: &str) -> BTreeMap<String, u64> {
self.export(name, |data| {
let AggregatedMetrics::U64(MetricData::Sum(sum)) = data else {
panic!("not a u64 sum: {data:?}");
};
sum.data_points()
.map(|p| (labels(p.attributes()), p.value()))
.collect()
})
.unwrap_or_default()
}
/// The histogram `name`'s sample count per label set, as
/// [`Self::counter`] writes them.
pub(in crate::review_classifier) fn histogram(&self, name: &str) -> BTreeMap<String, u64> {
self.export(name, |data| {
let AggregatedMetrics::F64(MetricData::Histogram(h)) = data else {
panic!("not an f64 histogram: {data:?}");
};
h.data_points()
.map(|p| (labels(p.attributes()), p.count()))
.collect()
})
.unwrap_or_default()
}
}
fn labels<'a>(attributes: impl Iterator<Item = &'a opentelemetry::KeyValue>) -> String {
let mut all: Vec<String> = attributes
.map(|kv| format!("{}={}", kv.key, kv.value))
.collect();
all.sort();
all.join(",")
}
}