Vapora/crates/vapora-telemetry/benches/metrics_benchmarks.rs
Jesús Pérez dd68d190ef ci: Update pre-commit hooks configuration
- Exclude problematic markdown files from linting (existing legacy issues)
- Make clippy check less aggressive (warnings only, not -D warnings)
- Move cargo test to manual stage (too slow for pre-commit)
- Exclude SVG files from end-of-file-fixer and trailing-whitespace
- Add markdown linting exclusions for existing documentation

This allows pre-commit hooks to run successfully on new code without
blocking commits due to existing issues in legacy documentation files.
2026-01-11 21:32:56 +00:00

143 lines
4.5 KiB
Rust

use criterion::{black_box, criterion_group, criterion_main, Criterion};
use vapora_telemetry::MetricsCollector;
fn metrics_record_task(c: &mut Criterion) {
c.bench_function("record_task_success", |b| {
b.iter(|| {
let collector = MetricsCollector::new();
black_box(collector.record_task_start());
black_box(collector.record_task_success(black_box(1000)));
});
});
}
fn metrics_record_provider_call(c: &mut Criterion) {
c.bench_function("record_provider_call", |b| {
b.iter(|| {
let collector = MetricsCollector::new();
black_box(collector.record_provider_call(
black_box("claude"),
black_box(1000),
black_box(500),
black_box(0.05),
));
});
});
}
fn metrics_get_task_metrics(c: &mut Criterion) {
c.bench_function("get_task_metrics_1000_records", |b| {
b.iter_batched(
|| {
let collector = MetricsCollector::new();
for i in 0..1000 {
collector.record_task_start();
if i % 100 != 0 {
collector.record_task_success(1000 + (i as u64 * 10) % 5000);
} else {
collector.record_task_failure(5000, "timeout");
}
}
collector
},
|collector| black_box(collector.get_task_metrics()),
criterion::BatchSize::SmallInput,
);
});
}
fn metrics_get_provider_metrics(c: &mut Criterion) {
c.bench_function("get_provider_metrics_500_calls", |b| {
b.iter_batched(
|| {
let collector = MetricsCollector::new();
for i in 0..500 {
let provider = match i % 3 {
0 => "claude",
1 => "openai",
_ => "gemini",
};
collector.record_provider_call(
provider,
100 + (i as u64 * 10),
200 + (i as u64 * 20),
0.01 + (i as f64 * 0.001),
);
}
collector
},
|collector| black_box(collector.get_provider_metrics()),
criterion::BatchSize::SmallInput,
);
});
}
fn metrics_get_system_metrics(c: &mut Criterion) {
c.bench_function("get_system_metrics_200_tasks_10_providers", |b| {
b.iter_batched(
|| {
let collector = MetricsCollector::new();
// Record tasks
for i in 0..200 {
collector.record_task_start();
if i % 20 != 0 {
collector.record_task_success(1000 + (i as u64 * 100));
} else {
collector.record_task_failure(5000, "execution_error");
}
}
// Record provider calls
for i in 0..100 {
let provider = match i % 5 {
0 => "claude",
1 => "openai",
2 => "gemini",
3 => "ollama",
_ => "anthropic",
};
collector.record_provider_call(
provider,
100 + (i as u64 * 20),
200 + (i as u64 * 40),
0.01 + (i as f64 * 0.002),
);
}
// Record heartbeats and coalitions
for _ in 0..50 {
collector.record_heartbeat();
}
for _ in 0..10 {
collector.record_coalition();
}
collector
},
|collector| black_box(collector.get_system_metrics()),
criterion::BatchSize::SmallInput,
);
});
}
fn metrics_clone_overhead(c: &mut Criterion) {
c.bench_function("clone_metrics_collector", |b| {
b.iter(|| {
let collector = MetricsCollector::new();
black_box(collector.clone())
});
});
}
criterion_group!(
benches,
metrics_record_task,
metrics_record_provider_call,
metrics_get_task_metrics,
metrics_get_provider_metrics,
metrics_get_system_metrics,
metrics_clone_overhead
);
criterion_main!(benches);