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//! Boot-time ECC benchmarking and capability advertisement (Phase K3c).
//!
//! This module is compiled only when the `ecc` feature is enabled.
//! It provides [`run_calibration`], which exercises the HNSW index and
//! causal graph with synthetic data, measures per-tick latency, and
//! returns an [`EccCalibration`] that other modules (CognitiveTick,
//! cluster advertisement) use to auto-tune cadence and decide which
//! subsystems are feasible on this hardware.
use std::time::Instant;
use serde::{Deserialize, Serialize};
use crate::causal::{CausalEdgeType, CausalGraph};
use crate::hnsw_service::HnswService;
// ---------------------------------------------------------------------------
// EccCalibrationConfig
// ---------------------------------------------------------------------------
/// Tuning knobs for the calibration run.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct EccCalibrationConfig {
/// Number of synthetic ticks to execute during calibration.
pub calibration_ticks: u32,
/// Initial tick interval in milliseconds (may be auto-raised).
pub tick_interval_ms: u32,
/// Target compute-time / tick-interval ratio (e.g. 0.3 = 30%).
pub tick_budget_ratio: f32,
/// Dimensionality of synthetic test vectors.
pub vector_dimensions: usize,
}
impl Default for EccCalibrationConfig {
fn default() -> Self {
Self {
calibration_ticks: 30,
tick_interval_ms: 50,
tick_budget_ratio: 0.3,
vector_dimensions: 384,
}
}
}
// ---------------------------------------------------------------------------
// EccCalibration
// ---------------------------------------------------------------------------
/// Results of a boot-time calibration run.
///
/// Consumed by `CognitiveTick` (for cadence), by `cluster.rs` (for
/// capability advertisement), and optionally by ExoChain (logged as an
/// `ecc.boot.calibration` chain event).
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct EccCalibration {
/// Median per-tick latency in microseconds.
pub compute_p50_us: u64,
/// 95th-percentile per-tick latency in microseconds.
pub compute_p95_us: u64,
/// Effective tick interval after auto-adjustment (ms).
pub tick_interval_ms: u32,
/// Ratio of p95 compute time to tick interval.
pub headroom_ratio: f32,
/// Number of HNSW vectors inserted during calibration.
pub hnsw_vector_count: u32,
/// Number of causal edges created during calibration.
pub causal_edge_count: u32,
/// Whether spectral analysis is feasible on this hardware.
pub spectral_capable: bool,
/// Unix timestamp (seconds) at which calibration completed.
pub calibrated_at: u64,
}
// ---------------------------------------------------------------------------
// Deterministic pseudo-random vector generation
// ---------------------------------------------------------------------------
/// Generate a deterministic f32 vector using a simple LCG, avoiding the
/// `rand` crate dependency.
fn pseudo_random_vector(seed: u64, dims: usize) -> Vec<f32> {
let mut state = seed
.wrapping_mul(6364136223846793005)
.wrapping_add(1442695040888963407);
(0..dims)
.map(|_| {
state = state
.wrapping_mul(6364136223846793005)
.wrapping_add(1442695040888963407);
// Map to [-1.0, 1.0]
((state >> 33) as f32) / (u32::MAX as f32 / 2.0) - 1.0
})
.collect()
}
// ---------------------------------------------------------------------------
// run_calibration
// ---------------------------------------------------------------------------
/// Execute a calibration run against the provided HNSW index and causal
/// graph.
///
/// This inserts `config.calibration_ticks` synthetic vectors into HNSW,
/// searches each one, creates causal edges linking consecutive ticks,
/// and hashes each vector with BLAKE3 (simulating a Merkle commit).
/// After collecting per-tick timings it computes p50/p95 percentiles,
/// decides the effective tick interval, checks spectral feasibility,
/// and cleans up all synthetic data.
pub fn run_calibration(
hnsw: &HnswService,
causal: &CausalGraph,
config: &EccCalibrationConfig,
) -> EccCalibration {
let n = config.calibration_ticks as usize;
assert!(n > 0, "calibration_ticks must be > 0");
// Pre-generate all test vectors.
let vectors: Vec<Vec<f32>> = (0..n)
.map(|i| pseudo_random_vector(i as u64, config.vector_dimensions))
.collect();
// Pre-create causal graph nodes so that link() can find them.
let node_ids: Vec<u64> = (0..n)
.map(|i| causal.add_node(format!("cal_{i}"), serde_json::json!({})))
.collect();
// Run synthetic ticks and collect per-tick timings.
let mut timings_us: Vec<u64> = Vec::with_capacity(n);
for i in 0..n {
let start = Instant::now();
// 1. HNSW insert
let id = format!("cal_{i}");
hnsw.insert(id, vectors[i].clone(), serde_json::json!({}));
// 2. HNSW search (k=10)
let _results = hnsw.search(&vectors[i], 10);
// 3. Causal edge: link tick i-1 -> tick i
if i > 0 {
causal.link(
node_ids[i - 1],
node_ids[i],
CausalEdgeType::Follows,
1.0,
0,
0,
);
}
// 4. BLAKE3 hash (Merkle commit simulation)
let vec_bytes: Vec<u8> = vectors[i]
.iter()
.flat_map(|f| f.to_le_bytes())
.collect();
let _hash = blake3::hash(&vec_bytes);
let elapsed = start.elapsed().as_micros() as u64;
timings_us.push(elapsed);
}
// Compute percentiles.
timings_us.sort_unstable();
let p50 = timings_us[n / 2];
let p95 = timings_us[n * 95 / 100];
// Record counts before cleanup.
let hnsw_vector_count = n as u32;
let causal_edge_count = if n > 1 { (n - 1) as u32 } else { 0 };
// Clean up synthetic data.
hnsw.clear();
causal.clear();
// Auto-adjust tick interval: ensure at least config.tick_interval_ms,
// but raise it if p95 / budget_ratio exceeds the configured value.
let p95_ms = p95 as f32 / 1000.0;
let required_ms = (p95_ms / config.tick_budget_ratio) as u32;
let tick_interval_ms = config.tick_interval_ms.max(required_ms);
// Headroom ratio: what fraction of the tick interval does p95 consume?
let headroom_ratio = if tick_interval_ms > 0 {
p95_ms / (tick_interval_ms as f32)
} else {
1.0
};
// Spectral feasibility: p95 under 10ms means we can afford spectral
// analysis within the tick budget.
let spectral_capable = p95 < 10_000;
// Unix timestamp (seconds).
let calibrated_at = std::time::SystemTime::now()
.duration_since(std::time::UNIX_EPOCH)
.map(|d| d.as_secs())
.unwrap_or(0);
EccCalibration {
compute_p50_us: p50,
compute_p95_us: p95,
tick_interval_ms,
headroom_ratio,
hnsw_vector_count,
causal_edge_count,
spectral_capable,
calibrated_at,
}
}
// ---------------------------------------------------------------------------
// Tests
// ---------------------------------------------------------------------------
#[cfg(test)]
mod tests {
use super::*;
use crate::hnsw_service::{HnswService, HnswServiceConfig};
fn make_hnsw() -> HnswService {
HnswService::new(HnswServiceConfig::default())
}
fn make_causal() -> CausalGraph {
CausalGraph::new()
}
fn small_config() -> EccCalibrationConfig {
EccCalibrationConfig {
calibration_ticks: 10,
tick_interval_ms: 50,
tick_budget_ratio: 0.3,
vector_dimensions: 16,
}
}
// 1. default_config
#[test]
fn default_config() {
let cfg = EccCalibrationConfig::default();
assert_eq!(cfg.calibration_ticks, 30);
assert_eq!(cfg.tick_interval_ms, 50);
assert!((cfg.tick_budget_ratio - 0.3).abs() < f32::EPSILON);
assert_eq!(cfg.vector_dimensions, 384);
}
// 2. pseudo_random_vector_deterministic
#[test]
fn pseudo_random_vector_deterministic() {
let a = pseudo_random_vector(42, 8);
let b = pseudo_random_vector(42, 8);
assert_eq!(a, b, "same seed must produce identical vectors");
let c = pseudo_random_vector(99, 8);
assert_ne!(a, c, "different seeds must produce different vectors");
}
// 3. pseudo_random_vector_correct_dimensions
#[test]
fn pseudo_random_vector_correct_dimensions() {
for dims in [1, 16, 128, 384] {
let v = pseudo_random_vector(0, dims);
assert_eq!(v.len(), dims);
}
}
// 4. calibration_basic
#[test]
fn calibration_basic() {
let hnsw = make_hnsw();
let causal = make_causal();
let cfg = small_config();
let cal = run_calibration(&hnsw, &causal, &cfg);
assert!(cal.compute_p50_us > 0, "p50 must be positive");
assert!(cal.compute_p95_us > 0, "p95 must be positive");
assert!(cal.tick_interval_ms > 0, "tick interval must be positive");
assert!(cal.headroom_ratio > 0.0, "headroom must be positive");
assert_eq!(cal.hnsw_vector_count, 10);
assert_eq!(cal.causal_edge_count, 9);
assert!(cal.calibrated_at > 0, "timestamp must be set");
}
// 5. calibration_cleans_up
#[test]
fn calibration_cleans_up() {
let hnsw = make_hnsw();
let causal = make_causal();
let cfg = small_config();
let _cal = run_calibration(&hnsw, &causal, &cfg);
assert!(
hnsw.is_empty(),
"HNSW store must be empty after calibration cleanup"
);
assert_eq!(
causal.node_count(),
0,
"causal graph must be empty after calibration cleanup"
);
assert_eq!(
causal.edge_count(),
0,
"causal graph edges must be zero after calibration cleanup"
);
}
// 6. calibration_p50_less_than_p95
#[test]
fn calibration_p50_less_than_p95() {
let hnsw = make_hnsw();
let causal = make_causal();
let cfg = small_config();
let cal = run_calibration(&hnsw, &causal, &cfg);
assert!(
cal.compute_p50_us <= cal.compute_p95_us,
"p50 ({}) must be <= p95 ({})",
cal.compute_p50_us,
cal.compute_p95_us,
);
}
// 7. calibration_spectral_capable
#[test]
fn calibration_spectral_capable() {
let hnsw = make_hnsw();
let causal = make_causal();
// Very small workload should be fast enough for spectral.
let cfg = EccCalibrationConfig {
calibration_ticks: 5,
tick_interval_ms: 50,
tick_budget_ratio: 0.3,
vector_dimensions: 4,
};
let cal = run_calibration(&hnsw, &causal, &cfg);
assert!(
cal.spectral_capable,
"a trivial calibration run should report spectral capable (p95={}us)",
cal.compute_p95_us,
);
}
// 8. calibration_tick_interval_auto_adjusted
#[test]
fn calibration_tick_interval_auto_adjusted() {
let hnsw = make_hnsw();
let causal = make_causal();
// Set an impossibly low tick interval and tight budget ratio
// so that p95 forces an upward adjustment.
let cfg = EccCalibrationConfig {
calibration_ticks: 10,
tick_interval_ms: 1, // very low
tick_budget_ratio: 0.01, // very tight budget
vector_dimensions: 64,
};
let cal = run_calibration(&hnsw, &causal, &cfg);
assert!(
cal.tick_interval_ms >= cfg.tick_interval_ms,
"tick_interval_ms ({}) must be >= configured value ({})",
cal.tick_interval_ms,
cfg.tick_interval_ms,
);
}
// Bonus: single-tick calibration edge case (no causal edges)
#[test]
fn calibration_single_tick() {
let hnsw = make_hnsw();
let causal = make_causal();
let cfg = EccCalibrationConfig {
calibration_ticks: 1,
tick_interval_ms: 50,
tick_budget_ratio: 0.3,
vector_dimensions: 8,
};
let cal = run_calibration(&hnsw, &causal, &cfg);
assert_eq!(cal.hnsw_vector_count, 1);
assert_eq!(cal.causal_edge_count, 0, "no edges with a single tick");
assert!(hnsw.is_empty());
assert_eq!(causal.node_count(), 0);
}
// Bonus: headroom_ratio is within sane bounds
#[test]
fn calibration_headroom_sane() {
let hnsw = make_hnsw();
let causal = make_causal();
let cfg = small_config();
let cal = run_calibration(&hnsw, &causal, &cfg);
assert!(
cal.headroom_ratio >= 0.0 && cal.headroom_ratio <= 1.0,
"headroom_ratio ({}) should be in [0, 1] for a well-budgeted run",
cal.headroom_ratio,
);
}
}