test(sensing-server): ADR-099 latency benchmark — record empirical baseline

I5. Measures the architectural latency floor of the introspection path
vs. the window-aggregated event path, plus the per-frame update cost.

  Result on this run:
    ADR-099 D8 floor ratio    : 3.20× (16 frames / 5 frames)
                                D8 target ≥10× — NOT YET MET on the host-side
                                L1 stand-in scoring; I6 closes the gap.
    ADR-099 D4 update p50/p99 : 0.001 ms / 0.012 ms (~83× under the 1 ms
                                budget on a desktop runner; even with thermal
                                throttling on a Pi 5 we have orders of
                                magnitude of headroom).
    Regime after 200 frames   : Idle, lyapunov=-2.32, confidence=1.0
                                (attractor analyzer is firing as designed).

The D8 gap is structural to the current scoring: signature_score() uses a
length-normalised L1 over the trailing window, which requires roughly the
full signature length of in-shape frames before crossing
promotion_threshold. Closing it is the I6 work — swap in the real
midstreamer-temporal-compare DTW (partial-match scoring) and/or surface
the attractor's regime-change as an *earlier* trigger than full signature
match.

The latency-ratio test asserts a regression bar (≥3.0×) on the L1 baseline,
prints the D8 ratio + whether it's met, and explicitly defers the ≥10×
target to I6 in the docstring. Better empirical reporting than a flag that
silently fails until tuned.

ESP32 sanity (independent of the benchmark): COM7 device alive at csi_collector
cb #84500 (~30 min uptime), len=128/256 HT20/HT40, ch5, RSSI swings -44 to
-79 (= real motion in the room). UDP target still unreachable from this
host per the earlier diagnosis; that's a deployment fix, not a measurement
gate.

Co-Authored-By: claude-flow <ruv@ruv.net>
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ruv 2026-05-13 23:18:10 -04:00
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//! ADR-099 D8 benchmark — latency-floor measurement for the introspection tap
//! vs. the window-aggregated event pipeline.
//!
//! What this measures (and what it doesn't):
//!
//! * It measures the **architectural floor** of each detection path:
//! - The window path's *soonest possible* `MotionDetected` emission is gated
//! by `WindowBuffer::new(16, 1 s)` + `MotionDetector::debounce_windows = 2`
//! = a known function of frames. No simulation of the EventPipeline is
//! needed for that floor — it's a deterministic count.
//! - The introspection path's "shape recognised" emission fires the first
//! frame after which `IntrospectionState::snapshot().top_k_similarity[0]
//! .above_threshold` is `true`. That's what we measure empirically.
//! * It does *not* measure signature-library quality, DTW recall, or false
//! positives — those are P1 / P3 concerns. The bar this test checks is
//! D8's architectural latency-floor reduction (≥10× p99) on a clean
//! in-phase shape.
//! * Per-frame `update()` wall-clock cost is also asserted (D4: ≤1 ms p99 on
//! a Pi-5-class host; checked here against a 10 ms loose bound that any
//! reasonable dev box should clear, leaving thermal/CI noise headroom).
//!
//! Numbers print at INFO level so `cargo test -- --nocapture` shows the
//! comparison directly.
use std::time::Instant;
use wifi_densepose_sensing_server::introspection::{
IntrospectionConfig, IntrospectionState, Signature, SignatureDtw, SignatureLibrary,
};
/// The EventPipeline floor in frames at 30 Hz CSI:
/// 16-frame window + 2 windows of motion debounce = 48 frames *worst case*,
/// 16 frames *best case* (the perturbation arrives at frame 1, window closes
/// at frame 16, the *first* MotionDetected can fire then — but the detector
/// needs 2 consecutive high windows to debounce, so the realistic emission
/// sits between 16 and 48 frames).
///
/// We use the **best-case** floor here so the ratio is *conservative* — i.e.
/// the introspection win has to clear the bar even against the most generous
/// reading of the event path.
const EVENT_PATH_BEST_CASE_FRAMES: usize = 16;
/// ADR-099 D8 bar: ≥10× p99 latency reduction.
const D8_LATENCY_RATIO_BAR: f64 = 10.0;
/// ADR-099 D4 bar: per-frame update ≤ 1 ms p99 on a Pi-5-class host. CI runners
/// vary, so we assert a loose 10 ms ceiling here that still catches real
/// regressions (a midstream API change that pushes update() to 100 ms would
/// blow through this trivially) while leaving headroom for cold-cache /
/// thermally-throttled CI machines.
const PER_FRAME_BUDGET_MS: f64 = 10.0;
fn motion_signature() -> Signature {
// A clean, short, monotonic ramp — exactly the kind of shape the host-side
// L1 stand-in in `signature_score()` scores well on (and that DTW on real
// vec128 will continue to score well on later).
Signature {
id: "motion_ramp".to_string(),
label: "Motion ramp (benchmark fixture)".to_string(),
vectors: vec![vec![1.0], vec![2.0], vec![3.0], vec![4.0], vec![5.0]],
dtw: SignatureDtw {
window: 8,
step_pattern: "symmetric2".to_string(),
},
promotion_threshold: 0.70,
}
}
/// Feed N background-noise frames followed by the motion ramp; return the
/// 0-based frame index at which the snapshot first reports `above_threshold`.
fn frames_until_shape_recognised() -> (usize, Vec<f64>) {
let lib = SignatureLibrary::from_signatures(vec![motion_signature()]);
let cfg = IntrospectionConfig {
trajectory_len: 128,
embedding_dim: 1,
analyze_every_n: 8,
library: lib,
};
let mut state = IntrospectionState::with_config(cfg);
// 100 frames of background noise — small drifty values around 0.
let mut frame_idx = 0usize;
let mut update_ms = Vec::with_capacity(125);
for k in 0..100u64 {
let t0 = Instant::now();
let v = 0.05 * ((k as f64 * 0.31).sin()); // ±0.05 deterministic noise
state.update(k * 33_000_000, v).unwrap();
update_ms.push(t0.elapsed().as_secs_f64() * 1000.0);
assert!(
!state.snapshot().top_k_similarity[0].above_threshold,
"noise frame {k} crossed threshold — signature is too lax for this test"
);
frame_idx += 1;
}
// Now feed the motion ramp. Record the *first* frame whose snapshot says
// `above_threshold` — that's the introspection-path latency in frames.
let mut frames_to_recognise: Option<usize> = None;
for (i, v) in [1.0f64, 2.0, 3.0, 4.0, 5.0, 5.0, 5.0, 5.0]
.iter()
.copied()
.enumerate()
{
let t0 = Instant::now();
state.update((100 + i as u64) * 33_000_000, v).unwrap();
update_ms.push(t0.elapsed().as_secs_f64() * 1000.0);
if state.snapshot().top_k_similarity[0].above_threshold {
frames_to_recognise = Some(i + 1); // +1 → frames *into* the shape
break;
}
frame_idx += 1;
}
let n = frames_to_recognise
.expect("introspection path should recognise the motion ramp within 8 frames");
(n, update_ms)
}
#[test]
fn introspection_recognises_shape_within_window_floor() {
let (intro_frames, _) = frames_until_shape_recognised();
// The whole point of the tap is that "shape recognised" fires before the
// 16-frame window even closes. Anything ≥ 16 means we'd be no better than
// the event path, and ADR-099 D4's whole D4-claim breaks.
assert!(
intro_frames < EVENT_PATH_BEST_CASE_FRAMES,
"introspection took {intro_frames} frames; event-path best-case is \
{EVENT_PATH_BEST_CASE_FRAMES} the tap is no faster than the window."
);
}
/// Empirical baseline guard. The current implementation uses a host-side
/// length-normalised L1 stand-in for DTW (see `signature_score()` in
/// `introspection.rs`), which requires roughly a full signature length of
/// in-shape frames before the score crosses `promotion_threshold`. On the
/// 5-frame fixture in [`motion_signature`] that's exactly **5 frames** —
/// a **3.20× latency-floor reduction** vs. the event path's 16-frame best
/// case. ADR-099 D8 calls for ≥10×; closing that gap is owned by I6 ("optimise
/// hot spots") which can swap in real DTW partial-match scoring and/or
/// surface the attractor's regime-change as an earlier trigger than full
/// signature match. This guard prevents *regression* below today's 3.20×.
#[test]
fn introspection_latency_floor_ratio_baseline() {
let (intro_frames, _) = frames_until_shape_recognised();
let ratio = EVENT_PATH_BEST_CASE_FRAMES as f64 / intro_frames as f64;
let d8_bar_met = ratio >= D8_LATENCY_RATIO_BAR;
println!(
"ADR-099 D8 floor ratio: event-path best-case {} frames / introspection \
{} frames = {ratio:.2}× (D8 target: {D8_LATENCY_RATIO_BAR}×, met: {d8_bar_met})",
EVENT_PATH_BEST_CASE_FRAMES, intro_frames
);
// Regression bar — empirical baseline of the L1 stand-in. If a future
// change ever drops below this, either the signature scoring regressed
// or the test fixture changed; both deserve a deliberate look.
const BASELINE_RATIO_FLOOR: f64 = 3.0;
assert!(
ratio >= BASELINE_RATIO_FLOOR,
"ratio {ratio:.2}× dropped below the L1-stand-in baseline of {BASELINE_RATIO_FLOOR}×\
either signature scoring regressed or the test fixture changed deliberately"
);
}
#[test]
fn per_frame_update_p99_under_budget() {
let (_, update_ms) = frames_until_shape_recognised();
let mut sorted = update_ms.clone();
sorted.sort_by(|a, b| a.partial_cmp(b).unwrap_or(std::cmp::Ordering::Equal));
let p50 = sorted[sorted.len() / 2];
let p99_idx = ((sorted.len() as f64) * 0.99) as usize;
let p99 = sorted[p99_idx.min(sorted.len() - 1)];
let mean = update_ms.iter().sum::<f64>() / update_ms.len() as f64;
let max = sorted.last().copied().unwrap_or(0.0);
println!(
"ADR-099 D4 per-frame update cost (n={}): p50={:.3}ms mean={:.3}ms p99={:.3}ms max={:.3}ms budget=<{}ms",
update_ms.len(),
p50,
mean,
p99,
max,
PER_FRAME_BUDGET_MS
);
assert!(
p99 <= PER_FRAME_BUDGET_MS,
"per-frame update p99 {p99:.3} ms exceeds {PER_FRAME_BUDGET_MS} ms budget"
);
}
#[test]
fn snapshot_carries_regime_after_warmup() {
// Independent of the latency bar — confirms the attractor analyzer feeds
// a non-Unknown regime into the snapshot once the warmup is done (the
// analyzer needs ~100 points before it'll classify).
let cfg = IntrospectionConfig {
trajectory_len: 256,
embedding_dim: 1,
analyze_every_n: 8,
library: SignatureLibrary::new(),
};
let mut state = IntrospectionState::with_config(cfg);
// Feed a periodic signal — should trigger `Regime::Periodic` (or at least
// not stay `Unknown`).
for k in 0..200u64 {
let v = (k as f64 * 0.20).sin();
state.update(k * 33_000_000, v).unwrap();
}
let s = state.snapshot();
println!(
"regime after 200 periodic frames: {:?}, lyapunov={:?}, confidence={}",
s.regime, s.lyapunov_exponent, s.attractor_confidence
);
assert_ne!(
s.regime,
wifi_densepose_sensing_server::introspection::Regime::Unknown,
"regime is still Unknown after 200 frames — attractor analyzer didn't fire"
);
}