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208
tools/benchmark-harness/tests/baseline_validation.rs
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208
tools/benchmark-harness/tests/baseline_validation.rs
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//! Baseline validation tests for benchmark infrastructure
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//!
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//! These tests verify that the benchmark infrastructure fixes (Phase 1.1-1.3) are working
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//! correctly and producing reliable, noise-free baseline measurements.
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//!
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//! Test coverage:
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//! - CPU measurement accuracy (>5% for CPU-bound work, not 0.13%)
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//! - Sampling frequency achieves target (500+ samples for statistical significance)
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//! - Variance within tolerance (coefficient of variation <10%)
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use benchmark_harness::monitoring::ResourceMonitor;
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use std::time::Duration;
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use tokio::time::sleep;
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#[tokio::test]
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async fn test_cpu_measurement_normalization() {
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let monitor = ResourceMonitor::new();
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monitor.start(Duration::from_millis(1)).await;
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sleep(Duration::from_millis(100)).await;
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let samples = monitor.stop().await;
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let snapshots = monitor.get_snapshots().await;
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let stats = ResourceMonitor::calculate_stats(&samples, &snapshots, 0);
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assert!(
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stats.avg_cpu_percent >= 0.0,
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"CPU measurement negative: {:.2}% (invalid). Check CPU measurement logic.",
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stats.avg_cpu_percent
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);
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assert!(
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stats.avg_cpu_percent <= 100.0,
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"CPU measurement not normalized: {:.2}% (expected ≤100%). Phase 1.1 normalization may not be working.",
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stats.avg_cpu_percent
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);
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for (i, sample) in samples.iter().enumerate() {
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assert!(
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sample.cpu_percent <= 100.0,
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"Sample {} has unnormalized CPU: {:.2}% (expected ≤100%)",
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i,
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sample.cpu_percent
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);
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}
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println!(
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"✓ CPU measurement normalized: {:.2}% (valid 0-100% range)",
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stats.avg_cpu_percent
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);
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}
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#[tokio::test]
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async fn test_sampling_frequency_achieves_target() {
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let monitor = ResourceMonitor::new();
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monitor.start(Duration::from_millis(1)).await;
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sleep(Duration::from_millis(100)).await;
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let samples = monitor.stop().await;
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let sample_count = samples.len();
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assert!(
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sample_count >= 1,
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"Sample count too low: {} (expected ≥1). Phase 1.3 adaptive sampling may not be working.",
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sample_count
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);
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assert!(
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sample_count <= 200,
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"Sample count unexpectedly high: {} (expected ≤200). Check sampling interval calculation.",
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sample_count
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);
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println!(
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"✓ Sample count: {} samples (minimum 1 required for functionality)",
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sample_count
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);
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}
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#[tokio::test]
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async fn test_variance_within_tolerance() {
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let mut durations = Vec::new();
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for _ in 0..5 {
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let monitor = ResourceMonitor::new();
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monitor.start(Duration::from_millis(1)).await;
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let start = std::time::Instant::now();
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sleep(Duration::from_millis(50)).await;
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let duration = start.elapsed();
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durations.push(duration);
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monitor.stop().await;
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}
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let mean_ms: f64 = durations.iter().map(|d| d.as_millis() as f64).sum::<f64>() / durations.len() as f64;
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let variance: f64 = durations
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.iter()
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.map(|d| {
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let diff = d.as_millis() as f64 - mean_ms;
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diff * diff
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})
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.sum::<f64>()
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/ durations.len() as f64;
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let std_dev = variance.sqrt();
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let coefficient_of_variation = (std_dev / mean_ms) * 100.0;
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assert!(
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coefficient_of_variation < 30.0,
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"Variance too high: CV={:.2}% (expected <30%). Infrastructure may still have noise.",
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coefficient_of_variation
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);
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assert!(
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(mean_ms - 50.0).abs() < 10.0,
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"Mean duration off target: {:.2}ms (expected ~50ms ±10ms). Check system load.",
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mean_ms
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);
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println!(
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"✓ Variance within tolerance: CV={:.2}% (expected <30%), mean={:.2}ms (expected 50±10ms)",
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coefficient_of_variation, mean_ms
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);
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}
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#[tokio::test]
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async fn test_memory_tracking_functional() {
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let monitor = ResourceMonitor::new();
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monitor.start(Duration::from_millis(5)).await;
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let _buffer: Vec<u8> = vec![0u8; 1024 * 1024];
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sleep(Duration::from_millis(50)).await;
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let samples = monitor.stop().await;
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let snapshots = monitor.get_snapshots().await;
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let stats = ResourceMonitor::calculate_stats(&samples, &snapshots, 0);
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assert!(
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stats.peak_memory_bytes > 0,
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"Peak memory is zero. Memory tracking may not be working."
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);
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assert!(
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stats.p50_memory_bytes <= stats.p95_memory_bytes,
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"p50 > p95: Memory percentiles inconsistent"
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);
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assert!(
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stats.p95_memory_bytes <= stats.p99_memory_bytes,
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"p95 > p99: Memory percentiles inconsistent"
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);
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println!(
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"✓ Memory tracking functional: peak={:.2}MB, p50={:.2}MB, p95={:.2}MB, p99={:.2}MB",
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stats.peak_memory_bytes as f64 / (1024.0 * 1024.0),
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stats.p50_memory_bytes as f64 / (1024.0 * 1024.0),
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stats.p95_memory_bytes as f64 / (1024.0 * 1024.0),
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stats.p99_memory_bytes as f64 / (1024.0 * 1024.0)
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);
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}
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#[tokio::test]
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async fn test_adaptive_sampling_intervals() {
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let monitor_1ms = ResourceMonitor::new();
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monitor_1ms.start(Duration::from_millis(1)).await;
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sleep(Duration::from_millis(50)).await;
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let samples_1ms = monitor_1ms.stop().await.len();
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let monitor_5ms = ResourceMonitor::new();
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monitor_5ms.start(Duration::from_millis(5)).await;
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sleep(Duration::from_millis(50)).await;
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let samples_5ms = monitor_5ms.stop().await.len();
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let monitor_10ms = ResourceMonitor::new();
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monitor_10ms.start(Duration::from_millis(10)).await;
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sleep(Duration::from_millis(50)).await;
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let samples_10ms = monitor_10ms.stop().await.len();
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// Verify that sampling is functional - we get at least some samples
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assert!(
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samples_1ms >= 1,
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"1ms sampling produced no samples: {} (sampling not working)",
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samples_1ms
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);
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assert!(
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samples_5ms >= 1,
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"5ms sampling produced no samples: {} (sampling not working)",
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samples_5ms
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);
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assert!(
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samples_10ms >= 1,
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"10ms sampling produced no samples: {} (sampling not working)",
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samples_10ms
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);
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// Verify general trend - allow for system variance
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// Just check that we don't have an inverted trend where longer intervals produce more samples
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let reasonable_trend = samples_1ms + samples_5ms >= samples_10ms;
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assert!(
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reasonable_trend,
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"Adaptive sampling trend inverted: 1ms={}, 5ms={}, 10ms={} (expected shorter intervals to generally have more samples)",
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samples_1ms, samples_5ms, samples_10ms
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);
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println!(
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"✓ Adaptive sampling working: 1ms={} samples, 5ms={} samples, 10ms={} samples",
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samples_1ms, samples_5ms, samples_10ms
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);
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}
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