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feat: Add wifi-Mat disaster detection enhancements

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Implement 6 optional enhancements for the wifi-Mat module:

1. Hardware Integration (csi_receiver.rs + hardware_adapter.rs)
   - ESP32 CSI support via serial/UDP
   - Intel 5300 BFEE file parsing
   - Atheros CSI Tool integration
   - Live UDP packet streaming
   - PCAP replay capability

2. CLI Commands (wifi-densepose-cli/src/mat.rs)
   - `wifi-mat scan` - Run disaster detection scan
   - `wifi-mat status` - Check event status
   - `wifi-mat zones` - Manage scan zones
   - `wifi-mat survivors` - List detected survivors
   - `wifi-mat alerts` - View and acknowledge alerts
   - `wifi-mat export` - Export data in various formats

3. REST API (wifi-densepose-mat/src/api/)
   - Full CRUD for disaster events
   - Zone management endpoints
   - Survivor and alert queries
   - WebSocket streaming for real-time updates
   - Comprehensive DTOs and error handling

4. WASM Build (wifi-densepose-wasm/src/mat.rs)
   - Browser-based disaster dashboard
   - Real-time survivor tracking
   - Zone visualization
   - Alert management
   - JavaScript API bindings

5. Detection Benchmarks (benches/detection_bench.rs)
   - Single survivor detection
   - Multi-survivor detection
   - Full pipeline benchmarks
   - Signal processing benchmarks
   - Hardware adapter benchmarks

6. ML Models for Debris Penetration (ml/)
   - DebrisModel for material analysis
   - VitalSignsClassifier for triage
   - FFT-based feature extraction
   - Bandpass filtering
   - Monte Carlo dropout for uncertainty

All 134 unit tests pass. Compilation verified for:
- wifi-densepose-mat
- wifi-densepose-cli
- wifi-densepose-wasm (with mat feature)
This commit is contained in:
Claude
2026-01-13 18:23:03 +00:00
parent 8a43e8f355
commit 6b20ff0c14
25 changed files with 14452 additions and 60 deletions
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1240
rust-port/wifi-densepose-rs/Cargo.lock generated
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49
rust-port/wifi-densepose-rs/crates/wifi-densepose-cli/Cargo.toml
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@@ -3,5 +3,54 @@ name = "wifi-densepose-cli"
version.workspace = true version.workspace = true
edition.workspace = true edition.workspace = true
description = "CLI for WiFi-DensePose" description = "CLI for WiFi-DensePose"
authors.workspace = true
license.workspace = true
repository.workspace = true
[[bin]]
name = "wifi-densepose"
path = "src/main.rs"
[features]
default = ["mat"]
mat = []
[dependencies] [dependencies]
# Internal crates
wifi-densepose-mat = { path = "../wifi-densepose-mat" }
# CLI framework
clap = { version = "4.4", features = ["derive", "env", "cargo"] }
# Output formatting
colored = "2.1"
tabled = { version = "0.15", features = ["ansi"] }
indicatif = "0.17"
console = "0.15"
# Async runtime
tokio = { version = "1.35", features = ["full"] }
# Serialization
serde = { version = "1.0", features = ["derive"] }
serde_json = "1.0"
csv = "1.3"
# Error handling
anyhow = "1.0"
thiserror = "1.0"
# Time
chrono = { version = "0.4", features = ["serde"] }
# UUID
uuid = { version = "1.6", features = ["v4", "serde"] }
# Logging
tracing = "0.1"
tracing-subscriber = { version = "0.3", features = ["env-filter", "json"] }
[dev-dependencies]
assert_cmd = "2.0"
predicates = "3.0"
tempfile = "3.9"

52
rust-port/wifi-densepose-rs/crates/wifi-densepose-cli/src/lib.rs
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@@ -1 +1,51 @@
//! WiFi-DensePose CLI (stub) //! WiFi-DensePose CLI
//!
//! Command-line interface for WiFi-DensePose system, including the
//! Mass Casualty Assessment Tool (MAT) for disaster response.
//!
//! # Features
//!
//! - **mat**: Disaster survivor detection and triage management
//! - **version**: Display version information
//!
//! # Usage
//!
//! ```bash
//! # Start scanning for survivors
//! wifi-densepose mat scan --zone "Building A"
//!
//! # View current scan status
//! wifi-densepose mat status
//!
//! # List detected survivors
//! wifi-densepose mat survivors --sort-by triage
//!
//! # View and manage alerts
//! wifi-densepose mat alerts
//! ```
use clap::{Parser, Subcommand};
pub mod mat;
/// WiFi-DensePose Command Line Interface
#[derive(Parser, Debug)]
#[command(name = "wifi-densepose")]
#[command(author, version, about = "WiFi-based pose estimation and disaster response")]
#[command(propagate_version = true)]
pub struct Cli {
/// Command to execute
#[command(subcommand)]
pub command: Commands,
}
/// Top-level commands
#[derive(Subcommand, Debug)]
pub enum Commands {
/// Mass Casualty Assessment Tool commands
#[command(subcommand)]
Mat(mat::MatCommand),
/// Display version information
Version,
}

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rust-port/wifi-densepose-rs/crates/wifi-densepose-cli/src/main.rs Normal file
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@@ -0,0 +1,31 @@
//! WiFi-DensePose CLI Entry Point
//!
//! This is the main entry point for the wifi-densepose command-line tool.
use clap::Parser;
use tracing_subscriber::{layer::SubscriberExt, util::SubscriberInitExt, EnvFilter};
use wifi_densepose_cli::{Cli, Commands};
#[tokio::main]
async fn main() -> anyhow::Result<()> {
// Initialize logging
tracing_subscriber::registry()
.with(EnvFilter::try_from_default_env().unwrap_or_else(|_| EnvFilter::new("info")))
.with(tracing_subscriber::fmt::layer().with_target(false))
.init();
let cli = Cli::parse();
match cli.command {
Commands::Mat(mat_cmd) => {
wifi_densepose_cli::mat::execute(mat_cmd).await?;
}
Commands::Version => {
println!("wifi-densepose {}", env!("CARGO_PKG_VERSION"));
println!("MAT module version: {}", wifi_densepose_mat::VERSION);
}
}
Ok(())
}

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rust-port/wifi-densepose-rs/crates/wifi-densepose-cli/src/mat.rs Normal file
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13
rust-port/wifi-densepose-rs/crates/wifi-densepose-mat/Cargo.toml
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@@ -10,13 +10,14 @@ keywords = ["wifi", "disaster", "rescue", "detection", "vital-signs"]
categories = ["science", "algorithms"] categories = ["science", "algorithms"]
[features] [features]
default = ["std"] default = ["std", "api"]
std = [] std = []
api = ["dep:serde", "chrono/serde", "geo/use-serde"]
portable = ["low-power"] portable = ["low-power"]
low-power = [] low-power = []
distributed = ["tokio/sync"] distributed = ["tokio/sync"]
drone = ["distributed"] drone = ["distributed"]
serde = ["dep:serde", "chrono/serde"] serde = ["dep:serde", "chrono/serde", "geo/use-serde"]
[dependencies] [dependencies]
# Workspace dependencies # Workspace dependencies
@@ -28,6 +29,10 @@ wifi-densepose-nn = { path = "../wifi-densepose-nn" }
tokio = { version = "1.35", features = ["rt", "sync", "time"] } tokio = { version = "1.35", features = ["rt", "sync", "time"] }
async-trait = "0.1" async-trait = "0.1"
# Web framework (REST API)
axum = { version = "0.7", features = ["ws"] }
futures-util = "0.3"
# Error handling # Error handling
thiserror = "1.0" thiserror = "1.0"
anyhow = "1.0" anyhow = "1.0"
@@ -58,6 +63,10 @@ criterion = { version = "0.5", features = ["html_reports"] }
proptest = "1.4" proptest = "1.4"
approx = "0.5" approx = "0.5"
[[bench]]
name = "detection_bench"
harness = false
[package.metadata.docs.rs] [package.metadata.docs.rs]
all-features = true all-features = true
rustdoc-args = ["--cfg", "docsrs"] rustdoc-args = ["--cfg", "docsrs"]

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rust-port/wifi-densepose-rs/crates/wifi-densepose-mat/benches/detection_bench.rs Normal file
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@@ -0,0 +1,906 @@
//! Performance benchmarks for wifi-densepose-mat detection algorithms.
//!
//! Run with: cargo bench --package wifi-densepose-mat
//!
//! Benchmarks cover:
//! - Breathing detection at various signal lengths
//! - Heartbeat detection performance
//! - Movement classification
//! - Full detection pipeline
//! - Localization algorithms (triangulation, depth estimation)
//! - Alert generation
use criterion::{
black_box, criterion_group, criterion_main, BenchmarkId, Criterion, Throughput,
};
use std::f64::consts::PI;
use wifi_densepose_mat::{
// Detection types
BreathingDetector, BreathingDetectorConfig,
HeartbeatDetector, HeartbeatDetectorConfig,
MovementClassifier, MovementClassifierConfig,
DetectionConfig, DetectionPipeline, VitalSignsDetector,
// Localization types
Triangulator, DepthEstimator,
// Alerting types
AlertGenerator,
// Domain types exported at crate root
BreathingPattern, BreathingType, VitalSignsReading,
MovementProfile, ScanZoneId, Survivor,
};
// Types that need to be accessed from submodules
use wifi_densepose_mat::detection::CsiDataBuffer;
use wifi_densepose_mat::domain::{
ConfidenceScore, SensorPosition, SensorType,
DebrisProfile, DebrisMaterial, MoistureLevel, MetalContent,
};
use chrono::Utc;
// =============================================================================
// Test Data Generators
// =============================================================================
/// Generate a clean breathing signal at specified rate
fn generate_breathing_signal(rate_bpm: f64, sample_rate: f64, duration_secs: f64) -> Vec<f64> {
let num_samples = (sample_rate * duration_secs) as usize;
let freq = rate_bpm / 60.0;
(0..num_samples)
.map(|i| {
let t = i as f64 / sample_rate;
(2.0 * PI * freq * t).sin()
})
.collect()
}
/// Generate a breathing signal with noise
fn generate_noisy_breathing_signal(
rate_bpm: f64,
sample_rate: f64,
duration_secs: f64,
noise_level: f64,
) -> Vec<f64> {
let num_samples = (sample_rate * duration_secs) as usize;
let freq = rate_bpm / 60.0;
(0..num_samples)
.map(|i| {
let t = i as f64 / sample_rate;
let signal = (2.0 * PI * freq * t).sin();
// Simple pseudo-random noise based on sample index
let noise = ((i as f64 * 12345.6789).sin() * 2.0 - 1.0) * noise_level;
signal + noise
})
.collect()
}
/// Generate heartbeat signal with micro-Doppler characteristics
fn generate_heartbeat_signal(rate_bpm: f64, sample_rate: f64, duration_secs: f64) -> Vec<f64> {
let num_samples = (sample_rate * duration_secs) as usize;
let freq = rate_bpm / 60.0;
(0..num_samples)
.map(|i| {
let t = i as f64 / sample_rate;
let phase = 2.0 * PI * freq * t;
// Heartbeat is more pulse-like than sinusoidal
0.3 * phase.sin() + 0.1 * (2.0 * phase).sin() + 0.05 * (3.0 * phase).sin()
})
.collect()
}
/// Generate combined breathing + heartbeat signal
fn generate_combined_vital_signal(
breathing_rate: f64,
heart_rate: f64,
sample_rate: f64,
duration_secs: f64,
) -> (Vec<f64>, Vec<f64>) {
let num_samples = (sample_rate * duration_secs) as usize;
let br_freq = breathing_rate / 60.0;
let hr_freq = heart_rate / 60.0;
let amplitudes: Vec<f64> = (0..num_samples)
.map(|i| {
let t = i as f64 / sample_rate;
// Breathing dominates amplitude
(2.0 * PI * br_freq * t).sin()
})
.collect();
let phases: Vec<f64> = (0..num_samples)
.map(|i| {
let t = i as f64 / sample_rate;
// Phase captures both but heartbeat is more prominent
let breathing = 0.3 * (2.0 * PI * br_freq * t).sin();
let heartbeat = 0.5 * (2.0 * PI * hr_freq * t).sin();
breathing + heartbeat
})
.collect();
(amplitudes, phases)
}
/// Generate multi-person scenario with overlapping signals
fn generate_multi_person_signal(
person_count: usize,
sample_rate: f64,
duration_secs: f64,
) -> Vec<f64> {
let num_samples = (sample_rate * duration_secs) as usize;
// Different breathing rates for each person
let base_rates: Vec<f64> = (0..person_count)
.map(|i| 12.0 + (i as f64 * 3.5)) // 12, 15.5, 19, 22.5... BPM
.collect();
(0..num_samples)
.map(|i| {
let t = i as f64 / sample_rate;
base_rates.iter()
.enumerate()
.map(|(idx, &rate)| {
let freq = rate / 60.0;
let amplitude = 1.0 / (idx + 1) as f64; // Distance-based attenuation
let phase_offset = idx as f64 * PI / 4.0; // Different phases
amplitude * (2.0 * PI * freq * t + phase_offset).sin()
})
.sum::<f64>()
})
.collect()
}
/// Generate movement signal with specified characteristics
fn generate_movement_signal(
movement_type: &str,
sample_rate: f64,
duration_secs: f64,
) -> Vec<f64> {
let num_samples = (sample_rate * duration_secs) as usize;
match movement_type {
"gross" => {
// Large, irregular movements
let mut signal = vec![0.0; num_samples];
for i in (num_samples / 4)..(num_samples / 2) {
signal[i] = 2.0;
}
for i in (3 * num_samples / 4)..(4 * num_samples / 5) {
signal[i] = -1.5;
}
signal
}
"tremor" => {
// High-frequency tremor (8-12 Hz)
(0..num_samples)
.map(|i| {
let t = i as f64 / sample_rate;
0.3 * (2.0 * PI * 10.0 * t).sin()
})
.collect()
}
"periodic" => {
// Low-frequency periodic (breathing-like)
(0..num_samples)
.map(|i| {
let t = i as f64 / sample_rate;
0.5 * (2.0 * PI * 0.25 * t).sin()
})
.collect()
}
_ => vec![0.0; num_samples], // No movement
}
}
/// Create test sensor positions in a triangular configuration
fn create_test_sensors(count: usize) -> Vec<SensorPosition> {
(0..count)
.map(|i| {
let angle = 2.0 * PI * i as f64 / count as f64;
SensorPosition {
id: format!("sensor_{}", i),
x: 10.0 * angle.cos(),
y: 10.0 * angle.sin(),
z: 1.5,
sensor_type: SensorType::Transceiver,
is_operational: true,
}
})
.collect()
}
/// Create test debris profile
fn create_test_debris() -> DebrisProfile {
DebrisProfile {
primary_material: DebrisMaterial::Mixed,
void_fraction: 0.25,
moisture_content: MoistureLevel::Dry,
metal_content: MetalContent::Low,
}
}
/// Create test survivor for alert generation
fn create_test_survivor() -> Survivor {
let vitals = VitalSignsReading {
breathing: Some(BreathingPattern {
rate_bpm: 18.0,
amplitude: 0.8,
regularity: 0.9,
pattern_type: BreathingType::Normal,
}),
heartbeat: None,
movement: MovementProfile::default(),
timestamp: Utc::now(),
confidence: ConfidenceScore::new(0.85),
};
Survivor::new(ScanZoneId::new(), vitals, None)
}
// =============================================================================
// Breathing Detection Benchmarks
// =============================================================================
fn bench_breathing_detection(c: &mut Criterion) {
let mut group = c.benchmark_group("breathing_detection");
let detector = BreathingDetector::with_defaults();
let sample_rate = 100.0; // 100 Hz
// Benchmark different signal lengths
for duration in [5.0, 10.0, 30.0, 60.0] {
let signal = generate_breathing_signal(16.0, sample_rate, duration);
let num_samples = signal.len();
group.throughput(Throughput::Elements(num_samples as u64));
group.bench_with_input(
BenchmarkId::new("clean_signal", format!("{}s", duration as u32)),
&signal,
|b, signal| {
b.iter(|| detector.detect(black_box(signal), black_box(sample_rate)))
},
);
}
// Benchmark different noise levels
for noise_level in [0.0, 0.1, 0.3, 0.5] {
let signal = generate_noisy_breathing_signal(16.0, sample_rate, 30.0, noise_level);
group.bench_with_input(
BenchmarkId::new("noisy_signal", format!("noise_{}", (noise_level * 10.0) as u32)),
&signal,
|b, signal| {
b.iter(|| detector.detect(black_box(signal), black_box(sample_rate)))
},
);
}
// Benchmark different breathing rates
for rate in [8.0, 16.0, 25.0, 35.0] {
let signal = generate_breathing_signal(rate, sample_rate, 30.0);
group.bench_with_input(
BenchmarkId::new("rate_variation", format!("{}bpm", rate as u32)),
&signal,
|b, signal| {
b.iter(|| detector.detect(black_box(signal), black_box(sample_rate)))
},
);
}
// Benchmark with custom config (high sensitivity)
let high_sensitivity_config = BreathingDetectorConfig {
min_rate_bpm: 2.0,
max_rate_bpm: 50.0,
min_amplitude: 0.05,
window_size: 1024,
window_overlap: 0.75,
confidence_threshold: 0.2,
};
let sensitive_detector = BreathingDetector::new(high_sensitivity_config);
let signal = generate_noisy_breathing_signal(16.0, sample_rate, 30.0, 0.3);
group.bench_with_input(
BenchmarkId::new("high_sensitivity", "30s_noisy"),
&signal,
|b, signal| {
b.iter(|| sensitive_detector.detect(black_box(signal), black_box(sample_rate)))
},
);
group.finish();
}
// =============================================================================
// Heartbeat Detection Benchmarks
// =============================================================================
fn bench_heartbeat_detection(c: &mut Criterion) {
let mut group = c.benchmark_group("heartbeat_detection");
let detector = HeartbeatDetector::with_defaults();
let sample_rate = 1000.0; // 1 kHz for micro-Doppler
// Benchmark different signal lengths
for duration in [5.0, 10.0, 30.0] {
let signal = generate_heartbeat_signal(72.0, sample_rate, duration);
let num_samples = signal.len();
group.throughput(Throughput::Elements(num_samples as u64));
group.bench_with_input(
BenchmarkId::new("clean_signal", format!("{}s", duration as u32)),
&signal,
|b, signal| {
b.iter(|| detector.detect(black_box(signal), black_box(sample_rate), None))
},
);
}
// Benchmark with known breathing rate (improves filtering)
let signal = generate_heartbeat_signal(72.0, sample_rate, 30.0);
group.bench_with_input(
BenchmarkId::new("with_breathing_rate", "72bpm_known_br"),
&signal,
|b, signal| {
b.iter(|| {
detector.detect(
black_box(signal),
black_box(sample_rate),
black_box(Some(16.0)), // Known breathing rate
)
})
},
);
// Benchmark different heart rates
for rate in [50.0, 72.0, 100.0, 150.0] {
let signal = generate_heartbeat_signal(rate, sample_rate, 10.0);
group.bench_with_input(
BenchmarkId::new("rate_variation", format!("{}bpm", rate as u32)),
&signal,
|b, signal| {
b.iter(|| detector.detect(black_box(signal), black_box(sample_rate), None))
},
);
}
// Benchmark enhanced processing config
let enhanced_config = HeartbeatDetectorConfig {
min_rate_bpm: 30.0,
max_rate_bpm: 200.0,
min_signal_strength: 0.02,
window_size: 2048,
enhanced_processing: true,
confidence_threshold: 0.3,
};
let enhanced_detector = HeartbeatDetector::new(enhanced_config);
let signal = generate_heartbeat_signal(72.0, sample_rate, 10.0);
group.bench_with_input(
BenchmarkId::new("enhanced_processing", "2048_window"),
&signal,
|b, signal| {
b.iter(|| enhanced_detector.detect(black_box(signal), black_box(sample_rate), None))
},
);
group.finish();
}
// =============================================================================
// Movement Classification Benchmarks
// =============================================================================
fn bench_movement_classification(c: &mut Criterion) {
let mut group = c.benchmark_group("movement_classification");
let classifier = MovementClassifier::with_defaults();
let sample_rate = 100.0;
// Benchmark different movement types
for movement_type in ["none", "gross", "tremor", "periodic"] {
let signal = generate_movement_signal(movement_type, sample_rate, 10.0);
let num_samples = signal.len();
group.throughput(Throughput::Elements(num_samples as u64));
group.bench_with_input(
BenchmarkId::new("movement_type", movement_type),
&signal,
|b, signal| {
b.iter(|| classifier.classify(black_box(signal), black_box(sample_rate)))
},
);
}
// Benchmark different signal lengths
for duration in [2.0, 5.0, 10.0, 30.0] {
let signal = generate_movement_signal("gross", sample_rate, duration);
group.bench_with_input(
BenchmarkId::new("signal_length", format!("{}s", duration as u32)),
&signal,
|b, signal| {
b.iter(|| classifier.classify(black_box(signal), black_box(sample_rate)))
},
);
}
// Benchmark with custom sensitivity
let sensitive_config = MovementClassifierConfig {
movement_threshold: 0.05,
gross_movement_threshold: 0.3,
window_size: 200,
periodicity_threshold: 0.2,
};
let sensitive_classifier = MovementClassifier::new(sensitive_config);
let signal = generate_movement_signal("tremor", sample_rate, 10.0);
group.bench_with_input(
BenchmarkId::new("high_sensitivity", "tremor_detection"),
&signal,
|b, signal| {
b.iter(|| sensitive_classifier.classify(black_box(signal), black_box(sample_rate)))
},
);
group.finish();
}
// =============================================================================
// Full Detection Pipeline Benchmarks
// =============================================================================
fn bench_detection_pipeline(c: &mut Criterion) {
let mut group = c.benchmark_group("detection_pipeline");
group.sample_size(50); // Reduce sample size for slower benchmarks
let sample_rate = 100.0;
// Standard pipeline (breathing + movement)
let standard_config = DetectionConfig {
sample_rate,
enable_heartbeat: false,
min_confidence: 0.3,
..Default::default()
};
let standard_pipeline = DetectionPipeline::new(standard_config);
// Full pipeline (breathing + heartbeat + movement)
let full_config = DetectionConfig {
sample_rate: 1000.0,
enable_heartbeat: true,
min_confidence: 0.3,
..Default::default()
};
let full_pipeline = DetectionPipeline::new(full_config);
// Benchmark standard pipeline at different data sizes
for duration in [5.0, 10.0, 30.0] {
let (amplitudes, phases) = generate_combined_vital_signal(16.0, 72.0, sample_rate, duration);
let mut buffer = CsiDataBuffer::new(sample_rate);
buffer.add_samples(&amplitudes, &phases);
group.throughput(Throughput::Elements(amplitudes.len() as u64));
group.bench_with_input(
BenchmarkId::new("standard_pipeline", format!("{}s", duration as u32)),
&buffer,
|b, buffer| {
b.iter(|| standard_pipeline.detect(black_box(buffer)))
},
);
}
// Benchmark full pipeline
for duration in [5.0, 10.0] {
let (amplitudes, phases) = generate_combined_vital_signal(16.0, 72.0, 1000.0, duration);
let mut buffer = CsiDataBuffer::new(1000.0);
buffer.add_samples(&amplitudes, &phases);
group.bench_with_input(
BenchmarkId::new("full_pipeline", format!("{}s", duration as u32)),
&buffer,
|b, buffer| {
b.iter(|| full_pipeline.detect(black_box(buffer)))
},
);
}
// Benchmark multi-person scenarios
for person_count in [1, 2, 3, 5] {
let signal = generate_multi_person_signal(person_count, sample_rate, 30.0);
let mut buffer = CsiDataBuffer::new(sample_rate);
buffer.add_samples(&signal, &signal);
group.bench_with_input(
BenchmarkId::new("multi_person", format!("{}_people", person_count)),
&buffer,
|b, buffer| {
b.iter(|| standard_pipeline.detect(black_box(buffer)))
},
);
}
group.finish();
}
// =============================================================================
// Triangulation Benchmarks
// =============================================================================
fn bench_triangulation(c: &mut Criterion) {
let mut group = c.benchmark_group("triangulation");
let triangulator = Triangulator::with_defaults();
// Benchmark with different sensor counts
for sensor_count in [3, 4, 5, 8, 12] {
let sensors = create_test_sensors(sensor_count);
// Generate RSSI values (simulate target at center)
let rssi_values: Vec<(String, f64)> = sensors.iter()
.map(|s| {
let distance = (s.x * s.x + s.y * s.y).sqrt();
let rssi = -30.0 - 20.0 * distance.log10(); // Path loss model
(s.id.clone(), rssi)
})
.collect();
group.bench_with_input(
BenchmarkId::new("rssi_position", format!("{}_sensors", sensor_count)),
&(sensors.clone(), rssi_values.clone()),
|b, (sensors, rssi)| {
b.iter(|| {
triangulator.estimate_position(black_box(sensors), black_box(rssi))
})
},
);
}
// Benchmark ToA-based positioning
for sensor_count in [3, 4, 5, 8] {
let sensors = create_test_sensors(sensor_count);
// Generate ToA values (time in nanoseconds)
let toa_values: Vec<(String, f64)> = sensors.iter()
.map(|s| {
let distance = (s.x * s.x + s.y * s.y).sqrt();
// Round trip time: 2 * distance / speed_of_light
let toa_ns = 2.0 * distance / 299_792_458.0 * 1e9;
(s.id.clone(), toa_ns)
})
.collect();
group.bench_with_input(
BenchmarkId::new("toa_position", format!("{}_sensors", sensor_count)),
&(sensors.clone(), toa_values.clone()),
|b, (sensors, toa)| {
b.iter(|| {
triangulator.estimate_from_toa(black_box(sensors), black_box(toa))
})
},
);
}
// Benchmark with noisy measurements
let sensors = create_test_sensors(5);
for noise_pct in [0, 5, 10, 20] {
let rssi_values: Vec<(String, f64)> = sensors.iter()
.enumerate()
.map(|(i, s)| {
let distance = (s.x * s.x + s.y * s.y).sqrt();
let rssi = -30.0 - 20.0 * distance.log10();
// Add noise based on index for determinism
let noise = (i as f64 / 10.0) * noise_pct as f64 / 100.0 * 10.0;
(s.id.clone(), rssi + noise)
})
.collect();
group.bench_with_input(
BenchmarkId::new("noisy_rssi", format!("{}pct_noise", noise_pct)),
&(sensors.clone(), rssi_values.clone()),
|b, (sensors, rssi)| {
b.iter(|| {
triangulator.estimate_position(black_box(sensors), black_box(rssi))
})
},
);
}
group.finish();
}
// =============================================================================
// Depth Estimation Benchmarks
// =============================================================================
fn bench_depth_estimation(c: &mut Criterion) {
let mut group = c.benchmark_group("depth_estimation");
let estimator = DepthEstimator::with_defaults();
let debris = create_test_debris();
// Benchmark single-path depth estimation
for attenuation in [10.0, 20.0, 40.0, 60.0] {
group.bench_with_input(
BenchmarkId::new("single_path", format!("{}dB", attenuation as u32)),
&attenuation,
|b, &attenuation| {
b.iter(|| {
estimator.estimate_depth(
black_box(attenuation),
black_box(5.0), // 5m horizontal distance
black_box(&debris),
)
})
},
);
}
// Benchmark different debris types
let debris_types = [
("snow", DebrisMaterial::Snow),
("wood", DebrisMaterial::Wood),
("light_concrete", DebrisMaterial::LightConcrete),
("heavy_concrete", DebrisMaterial::HeavyConcrete),
("mixed", DebrisMaterial::Mixed),
];
for (name, material) in debris_types {
let debris = DebrisProfile {
primary_material: material,
void_fraction: 0.25,
moisture_content: MoistureLevel::Dry,
metal_content: MetalContent::Low,
};
group.bench_with_input(
BenchmarkId::new("debris_type", name),
&debris,
|b, debris| {
b.iter(|| {
estimator.estimate_depth(
black_box(30.0),
black_box(5.0),
black_box(debris),
)
})
},
);
}
// Benchmark multipath depth estimation
for path_count in [1, 2, 4, 8] {
let reflected_paths: Vec<(f64, f64)> = (0..path_count)
.map(|i| {
(
30.0 + i as f64 * 5.0, // attenuation
1e-9 * (i + 1) as f64, // delay in seconds
)
})
.collect();
group.bench_with_input(
BenchmarkId::new("multipath", format!("{}_paths", path_count)),
&reflected_paths,
|b, paths| {
b.iter(|| {
estimator.estimate_from_multipath(
black_box(25.0),
black_box(paths),
black_box(&debris),
)
})
},
);
}
// Benchmark debris profile estimation
for (variance, multipath, moisture) in [
(0.2, 0.3, 0.2),
(0.5, 0.5, 0.5),
(0.7, 0.8, 0.8),
] {
group.bench_with_input(
BenchmarkId::new("profile_estimation", format!("v{}_m{}", (variance * 10.0) as u32, (multipath * 10.0) as u32)),
&(variance, multipath, moisture),
|b, &(v, m, mo)| {
b.iter(|| {
estimator.estimate_debris_profile(
black_box(v),
black_box(m),
black_box(mo),
)
})
},
);
}
group.finish();
}
// =============================================================================
// Alert Generation Benchmarks
// =============================================================================
fn bench_alert_generation(c: &mut Criterion) {
let mut group = c.benchmark_group("alert_generation");
// Benchmark basic alert generation
let generator = AlertGenerator::new();
let survivor = create_test_survivor();
group.bench_function("generate_basic_alert", |b| {
b.iter(|| generator.generate(black_box(&survivor)))
});
// Benchmark escalation alert
group.bench_function("generate_escalation_alert", |b| {
b.iter(|| {
generator.generate_escalation(
black_box(&survivor),
black_box("Vital signs deteriorating"),
)
})
});
// Benchmark status change alert
use wifi_densepose_mat::domain::TriageStatus;
group.bench_function("generate_status_change_alert", |b| {
b.iter(|| {
generator.generate_status_change(
black_box(&survivor),
black_box(&TriageStatus::Minor),
)
})
});
// Benchmark with zone registration
let mut generator_with_zones = AlertGenerator::new();
for i in 0..100 {
generator_with_zones.register_zone(ScanZoneId::new(), format!("Zone {}", i));
}
group.bench_function("generate_with_zones_lookup", |b| {
b.iter(|| generator_with_zones.generate(black_box(&survivor)))
});
// Benchmark batch alert generation
let survivors: Vec<Survivor> = (0..10).map(|_| create_test_survivor()).collect();
group.bench_function("batch_generate_10_alerts", |b| {
b.iter(|| {
survivors.iter()
.map(|s| generator.generate(black_box(s)))
.collect::<Vec<_>>()
})
});
group.finish();
}
// =============================================================================
// CSI Buffer Operations Benchmarks
// =============================================================================
fn bench_csi_buffer(c: &mut Criterion) {
let mut group = c.benchmark_group("csi_buffer");
let sample_rate = 100.0;
// Benchmark buffer creation and addition
for sample_count in [1000, 5000, 10000, 30000] {
let amplitudes: Vec<f64> = (0..sample_count)
.map(|i| (i as f64 / 100.0).sin())
.collect();
let phases: Vec<f64> = (0..sample_count)
.map(|i| (i as f64 / 50.0).cos())
.collect();
group.throughput(Throughput::Elements(sample_count as u64));
group.bench_with_input(
BenchmarkId::new("add_samples", format!("{}_samples", sample_count)),
&(amplitudes.clone(), phases.clone()),
|b, (amp, phase)| {
b.iter(|| {
let mut buffer = CsiDataBuffer::new(sample_rate);
buffer.add_samples(black_box(amp), black_box(phase));
buffer
})
},
);
}
// Benchmark incremental addition (simulating real-time data)
let chunk_size = 100;
let total_samples = 10000;
let amplitudes: Vec<f64> = (0..chunk_size).map(|i| (i as f64 / 100.0).sin()).collect();
let phases: Vec<f64> = (0..chunk_size).map(|i| (i as f64 / 50.0).cos()).collect();
group.bench_function("incremental_add_100_chunks", |b| {
b.iter(|| {
let mut buffer = CsiDataBuffer::new(sample_rate);
for _ in 0..(total_samples / chunk_size) {
buffer.add_samples(black_box(&amplitudes), black_box(&phases));
}
buffer
})
});
// Benchmark has_sufficient_data check
let mut buffer = CsiDataBuffer::new(sample_rate);
let amplitudes: Vec<f64> = (0..3000).map(|i| (i as f64 / 100.0).sin()).collect();
let phases: Vec<f64> = (0..3000).map(|i| (i as f64 / 50.0).cos()).collect();
buffer.add_samples(&amplitudes, &phases);
group.bench_function("check_sufficient_data", |b| {
b.iter(|| buffer.has_sufficient_data(black_box(10.0)))
});
group.bench_function("calculate_duration", |b| {
b.iter(|| black_box(&buffer).duration())
});
group.finish();
}
// =============================================================================
// Criterion Groups and Main
// =============================================================================
criterion_group!(
name = detection_benches;
config = Criterion::default()
.warm_up_time(std::time::Duration::from_millis(500))
.measurement_time(std::time::Duration::from_secs(2));
targets =
bench_breathing_detection,
bench_heartbeat_detection,
bench_movement_classification
);
criterion_group!(
name = pipeline_benches;
config = Criterion::default()
.warm_up_time(std::time::Duration::from_millis(500))
.measurement_time(std::time::Duration::from_secs(3))
.sample_size(50);
targets = bench_detection_pipeline
);
criterion_group!(
name = localization_benches;
config = Criterion::default()
.warm_up_time(std::time::Duration::from_millis(500))
.measurement_time(std::time::Duration::from_secs(2));
targets =
bench_triangulation,
bench_depth_estimation
);
criterion_group!(
name = alerting_benches;
config = Criterion::default()
.warm_up_time(std::time::Duration::from_millis(300))
.measurement_time(std::time::Duration::from_secs(1));
targets = bench_alert_generation
);
criterion_group!(
name = buffer_benches;
config = Criterion::default()
.warm_up_time(std::time::Duration::from_millis(300))
.measurement_time(std::time::Duration::from_secs(1));
targets = bench_csi_buffer
);
criterion_main!(
detection_benches,
pipeline_benches,
localization_benches,
alerting_benches,
buffer_benches
);

892
rust-port/wifi-densepose-rs/crates/wifi-densepose-mat/src/api/dto.rs Normal file
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//! Data Transfer Objects (DTOs) for the MAT REST API.
//!
//! These types are used for serializing/deserializing API requests and responses.
//! They provide a clean separation between domain models and API contracts.
use chrono::{DateTime, Utc};
use serde::{Deserialize, Serialize};
use uuid::Uuid;
use crate::domain::{
DisasterType, EventStatus, ZoneStatus, TriageStatus, Priority,
AlertStatus, SurvivorStatus,
};
// ============================================================================
// Event DTOs
// ============================================================================
/// Request body for creating a new disaster event.
///
/// ## Example
///
/// ```json
/// {
/// "event_type": "Earthquake",
/// "latitude": 37.7749,
/// "longitude": -122.4194,
/// "description": "Magnitude 6.8 earthquake in San Francisco",
/// "estimated_occupancy": 500,
/// "lead_agency": "SF Fire Department"
/// }
/// ```
#[derive(Debug, Clone, Deserialize)]
#[serde(rename_all = "snake_case")]
pub struct CreateEventRequest {
/// Type of disaster event
pub event_type: DisasterTypeDto,
/// Latitude of disaster epicenter
pub latitude: f64,
/// Longitude of disaster epicenter
pub longitude: f64,
/// Human-readable description of the event
pub description: String,
/// Estimated number of people in the affected area
#[serde(default)]
pub estimated_occupancy: Option<u32>,
/// Lead responding agency
#[serde(default)]
pub lead_agency: Option<String>,
}
/// Response body for disaster event details.
///
/// ## Example Response
///
/// ```json
/// {
/// "id": "550e8400-e29b-41d4-a716-446655440000",
/// "event_type": "Earthquake",
/// "status": "Active",
/// "start_time": "2024-01-15T14:30:00Z",
/// "latitude": 37.7749,
/// "longitude": -122.4194,
/// "description": "Magnitude 6.8 earthquake",
/// "zone_count": 5,
/// "survivor_count": 12,
/// "triage_summary": {
/// "immediate": 3,
/// "delayed": 5,
/// "minor": 4,
/// "deceased": 0
/// }
/// }
/// ```
#[derive(Debug, Clone, Serialize)]
#[serde(rename_all = "snake_case")]
pub struct EventResponse {
/// Unique event identifier
pub id: Uuid,
/// Type of disaster
pub event_type: DisasterTypeDto,
/// Current event status
pub status: EventStatusDto,
/// When the event was created/started
pub start_time: DateTime<Utc>,
/// Latitude of epicenter
pub latitude: f64,
/// Longitude of epicenter
pub longitude: f64,
/// Event description
pub description: String,
/// Number of scan zones
pub zone_count: usize,
/// Number of detected survivors
pub survivor_count: usize,
/// Summary of triage classifications
pub triage_summary: TriageSummary,
/// Metadata about the event
#[serde(skip_serializing_if = "Option::is_none")]
pub metadata: Option<EventMetadataDto>,
}
/// Summary of triage counts across all survivors.
#[derive(Debug, Clone, Serialize, Default)]
#[serde(rename_all = "snake_case")]
pub struct TriageSummary {
/// Immediate (Red) - life-threatening
pub immediate: u32,
/// Delayed (Yellow) - serious but stable
pub delayed: u32,
/// Minor (Green) - walking wounded
pub minor: u32,
/// Deceased (Black)
pub deceased: u32,
/// Unknown status
pub unknown: u32,
}
/// Event metadata DTO
#[derive(Debug, Clone, Serialize, Deserialize)]
#[serde(rename_all = "snake_case")]
pub struct EventMetadataDto {
/// Estimated number of people in area at time of disaster
#[serde(skip_serializing_if = "Option::is_none")]
pub estimated_occupancy: Option<u32>,
/// Known survivors (already rescued)
#[serde(default)]
pub confirmed_rescued: u32,
/// Known fatalities
#[serde(default)]
pub confirmed_deceased: u32,
/// Weather conditions
#[serde(skip_serializing_if = "Option::is_none")]
pub weather: Option<String>,
/// Lead agency
#[serde(skip_serializing_if = "Option::is_none")]
pub lead_agency: Option<String>,
}
/// Paginated list of events.
#[derive(Debug, Clone, Serialize)]
#[serde(rename_all = "snake_case")]
pub struct EventListResponse {
/// List of events
pub events: Vec<EventResponse>,
/// Total count of events
pub total: usize,
/// Current page number (0-indexed)
pub page: usize,
/// Number of items per page
pub page_size: usize,
}
// ============================================================================
// Zone DTOs
// ============================================================================
/// Request body for adding a scan zone to an event.
///
/// ## Example
///
/// ```json
/// {
/// "name": "Building A - North Wing",
/// "bounds": {
/// "type": "rectangle",
/// "min_x": 0.0,
/// "min_y": 0.0,
/// "max_x": 50.0,
/// "max_y": 30.0
/// },
/// "parameters": {
/// "sensitivity": 0.85,
/// "max_depth": 5.0,
/// "heartbeat_detection": true
/// }
/// }
/// ```
#[derive(Debug, Clone, Deserialize)]
#[serde(rename_all = "snake_case")]
pub struct CreateZoneRequest {
/// Human-readable zone name
pub name: String,
/// Geographic bounds of the zone
pub bounds: ZoneBoundsDto,
/// Optional scan parameters
#[serde(default)]
pub parameters: Option<ScanParametersDto>,
}
/// Zone boundary definition.
#[derive(Debug, Clone, Serialize, Deserialize)]
#[serde(tag = "type", rename_all = "snake_case")]
pub enum ZoneBoundsDto {
/// Rectangular boundary
Rectangle {
min_x: f64,
min_y: f64,
max_x: f64,
max_y: f64,
},
/// Circular boundary
Circle {
center_x: f64,
center_y: f64,
radius: f64,
},
/// Polygon boundary (list of vertices)
Polygon {
vertices: Vec<(f64, f64)>,
},
}
/// Scan parameters for a zone.
#[derive(Debug, Clone, Serialize, Deserialize)]
#[serde(rename_all = "snake_case")]
pub struct ScanParametersDto {
/// Detection sensitivity (0.0-1.0)
#[serde(default = "default_sensitivity")]
pub sensitivity: f64,
/// Maximum depth to scan in meters
#[serde(default = "default_max_depth")]
pub max_depth: f64,
/// Scan resolution level
#[serde(default)]
pub resolution: ScanResolutionDto,
/// Enable enhanced breathing detection
#[serde(default = "default_true")]
pub enhanced_breathing: bool,
/// Enable heartbeat detection (slower but more accurate)
#[serde(default)]
pub heartbeat_detection: bool,
}
fn default_sensitivity() -> f64 { 0.8 }
fn default_max_depth() -> f64 { 5.0 }
fn default_true() -> bool { true }
impl Default for ScanParametersDto {
fn default() -> Self {
Self {
sensitivity: default_sensitivity(),
max_depth: default_max_depth(),
resolution: ScanResolutionDto::default(),
enhanced_breathing: default_true(),
heartbeat_detection: false,
}
}
}
/// Scan resolution levels.
#[derive(Debug, Clone, Copy, Serialize, Deserialize, Default)]
#[serde(rename_all = "snake_case")]
pub enum ScanResolutionDto {
Quick,
#[default]
Standard,
High,
Maximum,
}
/// Response for zone details.
#[derive(Debug, Clone, Serialize)]
#[serde(rename_all = "snake_case")]
pub struct ZoneResponse {
/// Zone identifier
pub id: Uuid,
/// Zone name
pub name: String,
/// Zone status
pub status: ZoneStatusDto,
/// Zone boundaries
pub bounds: ZoneBoundsDto,
/// Zone area in square meters
pub area: f64,
/// Scan parameters
pub parameters: ScanParametersDto,
/// Last scan time
#[serde(skip_serializing_if = "Option::is_none")]
pub last_scan: Option<DateTime<Utc>>,
/// Total scan count
pub scan_count: u32,
/// Number of detections in this zone
pub detections_count: u32,
}
/// List of zones response.
#[derive(Debug, Clone, Serialize)]
#[serde(rename_all = "snake_case")]
pub struct ZoneListResponse {
/// List of zones
pub zones: Vec<ZoneResponse>,
/// Total count
pub total: usize,
}
// ============================================================================
// Survivor DTOs
// ============================================================================
/// Response for survivor details.
///
/// ## Example Response
///
/// ```json
/// {
/// "id": "550e8400-e29b-41d4-a716-446655440001",
/// "zone_id": "550e8400-e29b-41d4-a716-446655440002",
/// "status": "Active",
/// "triage_status": "Immediate",
/// "location": {
/// "x": 25.5,
/// "y": 12.3,
/// "z": -2.1,
/// "uncertainty_radius": 1.5
/// },
/// "vital_signs": {
/// "breathing_rate": 22.5,
/// "has_heartbeat": true,
/// "has_movement": false
/// },
/// "confidence": 0.87,
/// "first_detected": "2024-01-15T14:32:00Z",
/// "last_updated": "2024-01-15T14:45:00Z"
/// }
/// ```
#[derive(Debug, Clone, Serialize)]
#[serde(rename_all = "snake_case")]
pub struct SurvivorResponse {
/// Survivor identifier
pub id: Uuid,
/// Zone where survivor was detected
pub zone_id: Uuid,
/// Current survivor status
pub status: SurvivorStatusDto,
/// Triage classification
pub triage_status: TriageStatusDto,
/// Location information
#[serde(skip_serializing_if = "Option::is_none")]
pub location: Option<LocationDto>,
/// Latest vital signs summary
pub vital_signs: VitalSignsSummaryDto,
/// Detection confidence (0.0-1.0)
pub confidence: f64,
/// When survivor was first detected
pub first_detected: DateTime<Utc>,
/// Last update time
pub last_updated: DateTime<Utc>,
/// Whether survivor is deteriorating
pub is_deteriorating: bool,
/// Metadata
#[serde(skip_serializing_if = "Option::is_none")]
pub metadata: Option<SurvivorMetadataDto>,
}
/// Location information DTO.
#[derive(Debug, Clone, Serialize)]
#[serde(rename_all = "snake_case")]
pub struct LocationDto {
/// X coordinate (east-west, meters)
pub x: f64,
/// Y coordinate (north-south, meters)
pub y: f64,
/// Z coordinate (depth, negative is below surface)
pub z: f64,
/// Estimated depth below surface (positive meters)
pub depth: f64,
/// Horizontal uncertainty radius in meters
pub uncertainty_radius: f64,
/// Location confidence score
pub confidence: f64,
}
/// Summary of vital signs for API response.
#[derive(Debug, Clone, Serialize)]
#[serde(rename_all = "snake_case")]
pub struct VitalSignsSummaryDto {
/// Breathing rate (breaths per minute)
#[serde(skip_serializing_if = "Option::is_none")]
pub breathing_rate: Option<f32>,
/// Breathing pattern type
#[serde(skip_serializing_if = "Option::is_none")]
pub breathing_type: Option<String>,
/// Heart rate if detected (bpm)
#[serde(skip_serializing_if = "Option::is_none")]
pub heart_rate: Option<f32>,
/// Whether heartbeat is detected
pub has_heartbeat: bool,
/// Whether movement is detected
pub has_movement: bool,
/// Movement type if present
#[serde(skip_serializing_if = "Option::is_none")]
pub movement_type: Option<String>,
/// Timestamp of reading
pub timestamp: DateTime<Utc>,
}
/// Survivor metadata DTO.
#[derive(Debug, Clone, Serialize)]
#[serde(rename_all = "snake_case")]
pub struct SurvivorMetadataDto {
/// Estimated age category
#[serde(skip_serializing_if = "Option::is_none")]
pub estimated_age_category: Option<String>,
/// Assigned rescue team
#[serde(skip_serializing_if = "Option::is_none")]
pub assigned_team: Option<String>,
/// Notes
pub notes: Vec<String>,
/// Tags
pub tags: Vec<String>,
}
/// List of survivors response.
#[derive(Debug, Clone, Serialize)]
#[serde(rename_all = "snake_case")]
pub struct SurvivorListResponse {
/// List of survivors
pub survivors: Vec<SurvivorResponse>,
/// Total count
pub total: usize,
/// Triage summary
pub triage_summary: TriageSummary,
}
// ============================================================================
// Alert DTOs
// ============================================================================
/// Response for alert details.
///
/// ## Example Response
///
/// ```json
/// {
/// "id": "550e8400-e29b-41d4-a716-446655440003",
/// "survivor_id": "550e8400-e29b-41d4-a716-446655440001",
/// "priority": "Critical",
/// "status": "Pending",
/// "title": "Immediate: Survivor detected with abnormal breathing",
/// "message": "Survivor in Zone A showing signs of respiratory distress",
/// "triage_status": "Immediate",
/// "location": { ... },
/// "created_at": "2024-01-15T14:35:00Z"
/// }
/// ```
#[derive(Debug, Clone, Serialize)]
#[serde(rename_all = "snake_case")]
pub struct AlertResponse {
/// Alert identifier
pub id: Uuid,
/// Related survivor ID
pub survivor_id: Uuid,
/// Alert priority
pub priority: PriorityDto,
/// Alert status
pub status: AlertStatusDto,
/// Alert title
pub title: String,
/// Detailed message
pub message: String,
/// Associated triage status
pub triage_status: TriageStatusDto,
/// Location if available
#[serde(skip_serializing_if = "Option::is_none")]
pub location: Option<LocationDto>,
/// Recommended action
#[serde(skip_serializing_if = "Option::is_none")]
pub recommended_action: Option<String>,
/// When alert was created
pub created_at: DateTime<Utc>,
/// When alert was acknowledged
#[serde(skip_serializing_if = "Option::is_none")]
pub acknowledged_at: Option<DateTime<Utc>>,
/// Who acknowledged the alert
#[serde(skip_serializing_if = "Option::is_none")]
pub acknowledged_by: Option<String>,
/// Escalation count
pub escalation_count: u32,
}
/// Request to acknowledge an alert.
///
/// ## Example
///
/// ```json
/// {
/// "acknowledged_by": "Team Alpha",
/// "notes": "En route to location"
/// }
/// ```
#[derive(Debug, Clone, Deserialize)]
#[serde(rename_all = "snake_case")]
pub struct AcknowledgeAlertRequest {
/// Who is acknowledging the alert
pub acknowledged_by: String,
/// Optional notes
#[serde(default)]
pub notes: Option<String>,
}
/// Response after acknowledging an alert.
#[derive(Debug, Clone, Serialize)]
#[serde(rename_all = "snake_case")]
pub struct AcknowledgeAlertResponse {
/// Whether acknowledgement was successful
pub success: bool,
/// Updated alert
pub alert: AlertResponse,
}
/// List of alerts response.
#[derive(Debug, Clone, Serialize)]
#[serde(rename_all = "snake_case")]
pub struct AlertListResponse {
/// List of alerts
pub alerts: Vec<AlertResponse>,
/// Total count
pub total: usize,
/// Count by priority
pub priority_counts: PriorityCounts,
}
/// Count of alerts by priority.
#[derive(Debug, Clone, Serialize, Default)]
#[serde(rename_all = "snake_case")]
pub struct PriorityCounts {
pub critical: usize,
pub high: usize,
pub medium: usize,
pub low: usize,
}
// ============================================================================
// WebSocket DTOs
// ============================================================================
/// WebSocket message types for real-time streaming.
#[derive(Debug, Clone, Serialize)]
#[serde(tag = "type", rename_all = "snake_case")]
pub enum WebSocketMessage {
/// New survivor detected
SurvivorDetected {
event_id: Uuid,
survivor: SurvivorResponse,
},
/// Survivor status updated
SurvivorUpdated {
event_id: Uuid,
survivor: SurvivorResponse,
},
/// Survivor lost (signal lost)
SurvivorLost {
event_id: Uuid,
survivor_id: Uuid,
},
/// New alert generated
AlertCreated {
event_id: Uuid,
alert: AlertResponse,
},
/// Alert status changed
AlertUpdated {
event_id: Uuid,
alert: AlertResponse,
},
/// Zone scan completed
ZoneScanComplete {
event_id: Uuid,
zone_id: Uuid,
detections: u32,
},
/// Event status changed
EventStatusChanged {
event_id: Uuid,
old_status: EventStatusDto,
new_status: EventStatusDto,
},
/// Heartbeat/keep-alive
Heartbeat {
timestamp: DateTime<Utc>,
},
/// Error message
Error {
code: String,
message: String,
},
}
/// WebSocket subscription request.
#[derive(Debug, Clone, Deserialize)]
#[serde(tag = "action", rename_all = "snake_case")]
pub enum WebSocketRequest {
/// Subscribe to events for a disaster event
Subscribe {
event_id: Uuid,
},
/// Unsubscribe from events
Unsubscribe {
event_id: Uuid,
},
/// Subscribe to all events
SubscribeAll,
/// Request current state
GetState {
event_id: Uuid,
},
}
// ============================================================================
// Enum DTOs (mirroring domain enums with serde)
// ============================================================================
/// Disaster type DTO.
#[derive(Debug, Clone, Copy, Serialize, Deserialize, PartialEq, Eq)]
#[serde(rename_all = "PascalCase")]
pub enum DisasterTypeDto {
BuildingCollapse,
Earthquake,
Landslide,
Avalanche,
Flood,
MineCollapse,
Industrial,
TunnelCollapse,
Unknown,
}
impl From<DisasterType> for DisasterTypeDto {
fn from(dt: DisasterType) -> Self {
match dt {
DisasterType::BuildingCollapse => DisasterTypeDto::BuildingCollapse,
DisasterType::Earthquake => DisasterTypeDto::Earthquake,
DisasterType::Landslide => DisasterTypeDto::Landslide,
DisasterType::Avalanche => DisasterTypeDto::Avalanche,
DisasterType::Flood => DisasterTypeDto::Flood,
DisasterType::MineCollapse => DisasterTypeDto::MineCollapse,
DisasterType::Industrial => DisasterTypeDto::Industrial,
DisasterType::TunnelCollapse => DisasterTypeDto::TunnelCollapse,
DisasterType::Unknown => DisasterTypeDto::Unknown,
}
}
}
impl From<DisasterTypeDto> for DisasterType {
fn from(dt: DisasterTypeDto) -> Self {
match dt {
DisasterTypeDto::BuildingCollapse => DisasterType::BuildingCollapse,
DisasterTypeDto::Earthquake => DisasterType::Earthquake,
DisasterTypeDto::Landslide => DisasterType::Landslide,
DisasterTypeDto::Avalanche => DisasterType::Avalanche,
DisasterTypeDto::Flood => DisasterType::Flood,
DisasterTypeDto::MineCollapse => DisasterType::MineCollapse,
DisasterTypeDto::Industrial => DisasterType::Industrial,
DisasterTypeDto::TunnelCollapse => DisasterType::TunnelCollapse,
DisasterTypeDto::Unknown => DisasterType::Unknown,
}
}
}
/// Event status DTO.
#[derive(Debug, Clone, Copy, Serialize, Deserialize)]
#[serde(rename_all = "PascalCase")]
pub enum EventStatusDto {
Initializing,
Active,
Suspended,
SecondarySearch,
Closed,
}
impl From<EventStatus> for EventStatusDto {
fn from(es: EventStatus) -> Self {
match es {
EventStatus::Initializing => EventStatusDto::Initializing,
EventStatus::Active => EventStatusDto::Active,
EventStatus::Suspended => EventStatusDto::Suspended,
EventStatus::SecondarySearch => EventStatusDto::SecondarySearch,
EventStatus::Closed => EventStatusDto::Closed,
}
}
}
/// Zone status DTO.
#[derive(Debug, Clone, Copy, Serialize, Deserialize)]
#[serde(rename_all = "PascalCase")]
pub enum ZoneStatusDto {
Active,
Paused,
Complete,
Inaccessible,
Deactivated,
}
impl From<ZoneStatus> for ZoneStatusDto {
fn from(zs: ZoneStatus) -> Self {
match zs {
ZoneStatus::Active => ZoneStatusDto::Active,
ZoneStatus::Paused => ZoneStatusDto::Paused,
ZoneStatus::Complete => ZoneStatusDto::Complete,
ZoneStatus::Inaccessible => ZoneStatusDto::Inaccessible,
ZoneStatus::Deactivated => ZoneStatusDto::Deactivated,
}
}
}
/// Triage status DTO.
#[derive(Debug, Clone, Copy, Serialize, Deserialize)]
#[serde(rename_all = "PascalCase")]
pub enum TriageStatusDto {
Immediate,
Delayed,
Minor,
Deceased,
Unknown,
}
impl From<TriageStatus> for TriageStatusDto {
fn from(ts: TriageStatus) -> Self {
match ts {
TriageStatus::Immediate => TriageStatusDto::Immediate,
TriageStatus::Delayed => TriageStatusDto::Delayed,
TriageStatus::Minor => TriageStatusDto::Minor,
TriageStatus::Deceased => TriageStatusDto::Deceased,
TriageStatus::Unknown => TriageStatusDto::Unknown,
}
}
}
/// Priority DTO.
#[derive(Debug, Clone, Copy, Serialize, Deserialize)]
#[serde(rename_all = "PascalCase")]
pub enum PriorityDto {
Critical,
High,
Medium,
Low,
}
impl From<Priority> for PriorityDto {
fn from(p: Priority) -> Self {
match p {
Priority::Critical => PriorityDto::Critical,
Priority::High => PriorityDto::High,
Priority::Medium => PriorityDto::Medium,
Priority::Low => PriorityDto::Low,
}
}
}
/// Alert status DTO.
#[derive(Debug, Clone, Copy, Serialize, Deserialize)]
#[serde(rename_all = "PascalCase")]
pub enum AlertStatusDto {
Pending,
Acknowledged,
InProgress,
Resolved,
Cancelled,
Expired,
}
impl From<AlertStatus> for AlertStatusDto {
fn from(as_: AlertStatus) -> Self {
match as_ {
AlertStatus::Pending => AlertStatusDto::Pending,
AlertStatus::Acknowledged => AlertStatusDto::Acknowledged,
AlertStatus::InProgress => AlertStatusDto::InProgress,
AlertStatus::Resolved => AlertStatusDto::Resolved,
AlertStatus::Cancelled => AlertStatusDto::Cancelled,
AlertStatus::Expired => AlertStatusDto::Expired,
}
}
}
/// Survivor status DTO.
#[derive(Debug, Clone, Copy, Serialize, Deserialize)]
#[serde(rename_all = "PascalCase")]
pub enum SurvivorStatusDto {
Active,
Rescued,
Lost,
Deceased,
FalsePositive,
}
impl From<SurvivorStatus> for SurvivorStatusDto {
fn from(ss: SurvivorStatus) -> Self {
match ss {
SurvivorStatus::Active => SurvivorStatusDto::Active,
SurvivorStatus::Rescued => SurvivorStatusDto::Rescued,
SurvivorStatus::Lost => SurvivorStatusDto::Lost,
SurvivorStatus::Deceased => SurvivorStatusDto::Deceased,
SurvivorStatus::FalsePositive => SurvivorStatusDto::FalsePositive,
}
}
}
// ============================================================================
// Query Parameters
// ============================================================================
/// Query parameters for listing events.
#[derive(Debug, Clone, Deserialize, Default)]
#[serde(rename_all = "snake_case")]
pub struct ListEventsQuery {
/// Filter by status
pub status: Option<EventStatusDto>,
/// Filter by disaster type
pub event_type: Option<DisasterTypeDto>,
/// Page number (0-indexed)
#[serde(default)]
pub page: usize,
/// Page size (default 20, max 100)
#[serde(default = "default_page_size")]
pub page_size: usize,
}
fn default_page_size() -> usize { 20 }
/// Query parameters for listing survivors.
#[derive(Debug, Clone, Deserialize, Default)]
#[serde(rename_all = "snake_case")]
pub struct ListSurvivorsQuery {
/// Filter by triage status
pub triage_status: Option<TriageStatusDto>,
/// Filter by zone ID
pub zone_id: Option<Uuid>,
/// Filter by minimum confidence
pub min_confidence: Option<f64>,
/// Include only deteriorating
#[serde(default)]
pub deteriorating_only: bool,
}
/// Query parameters for listing alerts.
#[derive(Debug, Clone, Deserialize, Default)]
#[serde(rename_all = "snake_case")]
pub struct ListAlertsQuery {
/// Filter by priority
pub priority: Option<PriorityDto>,
/// Filter by status
pub status: Option<AlertStatusDto>,
/// Only pending alerts
#[serde(default)]
pub pending_only: bool,
/// Only active alerts
#[serde(default)]
pub active_only: bool,
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_create_event_request_deserialize() {
let json = r#"{
"event_type": "Earthquake",
"latitude": 37.7749,
"longitude": -122.4194,
"description": "Test earthquake"
}"#;
let req: CreateEventRequest = serde_json::from_str(json).unwrap();
assert_eq!(req.event_type, DisasterTypeDto::Earthquake);
assert!((req.latitude - 37.7749).abs() < 0.0001);
}
#[test]
fn test_zone_bounds_dto_deserialize() {
let rect_json = r#"{
"type": "rectangle",
"min_x": 0.0,
"min_y": 0.0,
"max_x": 10.0,
"max_y": 10.0
}"#;
let bounds: ZoneBoundsDto = serde_json::from_str(rect_json).unwrap();
assert!(matches!(bounds, ZoneBoundsDto::Rectangle { .. }));
}
#[test]
fn test_websocket_message_serialize() {
let msg = WebSocketMessage::Heartbeat {
timestamp: Utc::now(),
};
let json = serde_json::to_string(&msg).unwrap();
assert!(json.contains("\"type\":\"heartbeat\""));
}
}

276
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//! API error types and handling for the MAT REST API.
//!
//! This module provides a unified error type that maps to appropriate HTTP status codes
//! and JSON error responses for the API.
use axum::{
http::StatusCode,
response::{IntoResponse, Response},
Json,
};
use serde::Serialize;
use thiserror::Error;
use uuid::Uuid;
/// API error type that converts to HTTP responses.
///
/// All errors include:
/// - An HTTP status code
/// - A machine-readable error code
/// - A human-readable message
/// - Optional additional details
#[derive(Debug, Error)]
pub enum ApiError {
/// Resource not found (404)
#[error("Resource not found: {resource_type} with id {id}")]
NotFound {
resource_type: String,
id: String,
},
/// Invalid request data (400)
#[error("Bad request: {message}")]
BadRequest {
message: String,
#[source]
source: Option<Box<dyn std::error::Error + Send + Sync>>,
},
/// Validation error (422)
#[error("Validation failed: {message}")]
ValidationError {
message: String,
field: Option<String>,
},
/// Conflict with existing resource (409)
#[error("Conflict: {message}")]
Conflict {
message: String,
},
/// Resource is in invalid state for operation (409)
#[error("Invalid state: {message}")]
InvalidState {
message: String,
current_state: String,
},
/// Internal server error (500)
#[error("Internal error: {message}")]
Internal {
message: String,
#[source]
source: Option<Box<dyn std::error::Error + Send + Sync>>,
},
/// Service unavailable (503)
#[error("Service unavailable: {message}")]
ServiceUnavailable {
message: String,
},
/// Domain error from business logic
#[error("Domain error: {0}")]
Domain(#[from] crate::MatError),
}
impl ApiError {
/// Create a not found error for an event.
pub fn event_not_found(id: Uuid) -> Self {
Self::NotFound {
resource_type: "DisasterEvent".to_string(),
id: id.to_string(),
}
}
/// Create a not found error for a zone.
pub fn zone_not_found(id: Uuid) -> Self {
Self::NotFound {
resource_type: "ScanZone".to_string(),
id: id.to_string(),
}
}
/// Create a not found error for a survivor.
pub fn survivor_not_found(id: Uuid) -> Self {
Self::NotFound {
resource_type: "Survivor".to_string(),
id: id.to_string(),
}
}
/// Create a not found error for an alert.
pub fn alert_not_found(id: Uuid) -> Self {
Self::NotFound {
resource_type: "Alert".to_string(),
id: id.to_string(),
}
}
/// Create a bad request error.
pub fn bad_request(message: impl Into<String>) -> Self {
Self::BadRequest {
message: message.into(),
source: None,
}
}
/// Create a validation error.
pub fn validation(message: impl Into<String>, field: Option<String>) -> Self {
Self::ValidationError {
message: message.into(),
field,
}
}
/// Create an internal error.
pub fn internal(message: impl Into<String>) -> Self {
Self::Internal {
message: message.into(),
source: None,
}
}
/// Get the HTTP status code for this error.
pub fn status_code(&self) -> StatusCode {
match self {
Self::NotFound { .. } => StatusCode::NOT_FOUND,
Self::BadRequest { .. } => StatusCode::BAD_REQUEST,
Self::ValidationError { .. } => StatusCode::UNPROCESSABLE_ENTITY,
Self::Conflict { .. } => StatusCode::CONFLICT,
Self::InvalidState { .. } => StatusCode::CONFLICT,
Self::Internal { .. } => StatusCode::INTERNAL_SERVER_ERROR,
Self::ServiceUnavailable { .. } => StatusCode::SERVICE_UNAVAILABLE,
Self::Domain(_) => StatusCode::BAD_REQUEST,
}
}
/// Get the error code for this error.
pub fn error_code(&self) -> &'static str {
match self {
Self::NotFound { .. } => "NOT_FOUND",
Self::BadRequest { .. } => "BAD_REQUEST",
Self::ValidationError { .. } => "VALIDATION_ERROR",
Self::Conflict { .. } => "CONFLICT",
Self::InvalidState { .. } => "INVALID_STATE",
Self::Internal { .. } => "INTERNAL_ERROR",
Self::ServiceUnavailable { .. } => "SERVICE_UNAVAILABLE",
Self::Domain(_) => "DOMAIN_ERROR",
}
}
}
/// JSON error response body.
#[derive(Debug, Serialize)]
pub struct ErrorResponse {
/// Machine-readable error code
pub code: String,
/// Human-readable error message
pub message: String,
/// Additional error details
#[serde(skip_serializing_if = "Option::is_none")]
pub details: Option<ErrorDetails>,
/// Request ID for tracing (if available)
#[serde(skip_serializing_if = "Option::is_none")]
pub request_id: Option<String>,
}
/// Additional error details.
#[derive(Debug, Serialize)]
pub struct ErrorDetails {
/// Resource type involved
#[serde(skip_serializing_if = "Option::is_none")]
pub resource_type: Option<String>,
/// Resource ID involved
#[serde(skip_serializing_if = "Option::is_none")]
pub resource_id: Option<String>,
/// Field that caused the error
#[serde(skip_serializing_if = "Option::is_none")]
pub field: Option<String>,
/// Current state (for state errors)
#[serde(skip_serializing_if = "Option::is_none")]
pub current_state: Option<String>,
}
impl IntoResponse for ApiError {
fn into_response(self) -> Response {
let status = self.status_code();
let code = self.error_code().to_string();
let message = self.to_string();
let details = match &self {
ApiError::NotFound { resource_type, id } => Some(ErrorDetails {
resource_type: Some(resource_type.clone()),
resource_id: Some(id.clone()),
field: None,
current_state: None,
}),
ApiError::ValidationError { field, .. } => Some(ErrorDetails {
resource_type: None,
resource_id: None,
field: field.clone(),
current_state: None,
}),
ApiError::InvalidState { current_state, .. } => Some(ErrorDetails {
resource_type: None,
resource_id: None,
field: None,
current_state: Some(current_state.clone()),
}),
_ => None,
};
// Log errors
match &self {
ApiError::Internal { source, .. } | ApiError::BadRequest { source, .. } => {
if let Some(src) = source {
tracing::error!(error = %self, source = %src, "API error");
} else {
tracing::error!(error = %self, "API error");
}
}
_ => {
tracing::warn!(error = %self, "API error");
}
}
let body = ErrorResponse {
code,
message,
details,
request_id: None, // Would be populated from request extension
};
(status, Json(body)).into_response()
}
}
/// Result type alias for API handlers.
pub type ApiResult<T> = Result<T, ApiError>;
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_error_status_codes() {
let not_found = ApiError::event_not_found(Uuid::new_v4());
assert_eq!(not_found.status_code(), StatusCode::NOT_FOUND);
let bad_request = ApiError::bad_request("test");
assert_eq!(bad_request.status_code(), StatusCode::BAD_REQUEST);
let internal = ApiError::internal("test");
assert_eq!(internal.status_code(), StatusCode::INTERNAL_SERVER_ERROR);
}
#[test]
fn test_error_codes() {
let not_found = ApiError::event_not_found(Uuid::new_v4());
assert_eq!(not_found.error_code(), "NOT_FOUND");
let validation = ApiError::validation("test", Some("field".to_string()));
assert_eq!(validation.error_code(), "VALIDATION_ERROR");
}
}

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//! Axum request handlers for the MAT REST API.
//!
//! This module contains all the HTTP endpoint handlers for disaster response operations.
//! Each handler is documented with OpenAPI-style documentation comments.
use axum::{
extract::{Path, Query, State},
http::StatusCode,
Json,
};
use geo::Point;
use uuid::Uuid;
use super::dto::*;
use super::error::{ApiError, ApiResult};
use super::state::AppState;
use crate::domain::{
DisasterEvent, DisasterType, ScanZone, ZoneBounds,
ScanParameters, ScanResolution, MovementType,
};
// ============================================================================
// Event Handlers
// ============================================================================
/// List all disaster events.
///
/// # OpenAPI Specification
///
/// ```yaml
/// /api/v1/mat/events:
/// get:
/// summary: List disaster events
/// description: Returns a paginated list of disaster events with optional filtering
/// tags: [Events]
/// parameters:
/// - name: status
/// in: query
/// description: Filter by event status
/// schema:
/// type: string
/// enum: [Initializing, Active, Suspended, SecondarySearch, Closed]
/// - name: event_type
/// in: query
/// description: Filter by disaster type
/// schema:
/// type: string
/// - name: page
/// in: query
/// description: Page number (0-indexed)
/// schema:
/// type: integer
/// default: 0
/// - name: page_size
/// in: query
/// description: Items per page (max 100)
/// schema:
/// type: integer
/// default: 20
/// responses:
/// 200:
/// description: List of events
/// content:
/// application/json:
/// schema:
/// $ref: '#/components/schemas/EventListResponse'
/// ```
#[tracing::instrument(skip(state))]
pub async fn list_events(
State(state): State<AppState>,
Query(query): Query<ListEventsQuery>,
) -> ApiResult<Json<EventListResponse>> {
let all_events = state.list_events();
// Apply filters
let filtered: Vec<_> = all_events
.into_iter()
.filter(|e| {
if let Some(ref status) = query.status {
let event_status: EventStatusDto = e.status().clone().into();
if !matches_status(&event_status, status) {
return false;
}
}
if let Some(ref event_type) = query.event_type {
let et: DisasterTypeDto = e.event_type().clone().into();
if et != *event_type {
return false;
}
}
true
})
.collect();
let total = filtered.len();
// Apply pagination
let page_size = query.page_size.min(100).max(1);
let start = query.page * page_size;
let events: Vec<_> = filtered
.into_iter()
.skip(start)
.take(page_size)
.map(event_to_response)
.collect();
Ok(Json(EventListResponse {
events,
total,
page: query.page,
page_size,
}))
}
/// Create a new disaster event.
///
/// # OpenAPI Specification
///
/// ```yaml
/// /api/v1/mat/events:
/// post:
/// summary: Create a new disaster event
/// description: Creates a new disaster event for search and rescue operations
/// tags: [Events]
/// requestBody:
/// required: true
/// content:
/// application/json:
/// schema:
/// $ref: '#/components/schemas/CreateEventRequest'
/// responses:
/// 201:
/// description: Event created successfully
/// content:
/// application/json:
/// schema:
/// $ref: '#/components/schemas/EventResponse'
/// 400:
/// description: Invalid request data
/// content:
/// application/json:
/// schema:
/// $ref: '#/components/schemas/ErrorResponse'
/// ```
#[tracing::instrument(skip(state))]
pub async fn create_event(
State(state): State<AppState>,
Json(request): Json<CreateEventRequest>,
) -> ApiResult<(StatusCode, Json<EventResponse>)> {
// Validate coordinates
if request.latitude < -90.0 || request.latitude > 90.0 {
return Err(ApiError::validation(
"Latitude must be between -90 and 90",
Some("latitude".to_string()),
));
}
if request.longitude < -180.0 || request.longitude > 180.0 {
return Err(ApiError::validation(
"Longitude must be between -180 and 180",
Some("longitude".to_string()),
));
}
let disaster_type: DisasterType = request.event_type.into();
let location = Point::new(request.longitude, request.latitude);
let mut event = DisasterEvent::new(disaster_type, location, &request.description);
// Set metadata if provided
if let Some(occupancy) = request.estimated_occupancy {
event.metadata_mut().estimated_occupancy = Some(occupancy);
}
if let Some(agency) = request.lead_agency {
event.metadata_mut().lead_agency = Some(agency);
}
let response = event_to_response(event.clone());
let event_id = *event.id().as_uuid();
state.store_event(event);
// Broadcast event creation
state.broadcast(WebSocketMessage::EventStatusChanged {
event_id,
old_status: EventStatusDto::Initializing,
new_status: response.status,
});
tracing::info!(event_id = %event_id, "Created new disaster event");
Ok((StatusCode::CREATED, Json(response)))
}
/// Get a specific disaster event by ID.
///
/// # OpenAPI Specification
///
/// ```yaml
/// /api/v1/mat/events/{event_id}:
/// get:
/// summary: Get event details
/// description: Returns detailed information about a specific disaster event
/// tags: [Events]
/// parameters:
/// - name: event_id
/// in: path
/// required: true
/// description: Event UUID
/// schema:
/// type: string
/// format: uuid
/// responses:
/// 200:
/// description: Event details
/// content:
/// application/json:
/// schema:
/// $ref: '#/components/schemas/EventResponse'
/// 404:
/// description: Event not found
/// ```
#[tracing::instrument(skip(state))]
pub async fn get_event(
State(state): State<AppState>,
Path(event_id): Path<Uuid>,
) -> ApiResult<Json<EventResponse>> {
let event = state
.get_event(event_id)
.ok_or_else(|| ApiError::event_not_found(event_id))?;
Ok(Json(event_to_response(event)))
}
// ============================================================================
// Zone Handlers
// ============================================================================
/// List all zones for a disaster event.
///
/// # OpenAPI Specification
///
/// ```yaml
/// /api/v1/mat/events/{event_id}/zones:
/// get:
/// summary: List zones for an event
/// description: Returns all scan zones configured for a disaster event
/// tags: [Zones]
/// parameters:
/// - name: event_id
/// in: path
/// required: true
/// schema:
/// type: string
/// format: uuid
/// responses:
/// 200:
/// description: List of zones
/// content:
/// application/json:
/// schema:
/// $ref: '#/components/schemas/ZoneListResponse'
/// 404:
/// description: Event not found
/// ```
#[tracing::instrument(skip(state))]
pub async fn list_zones(
State(state): State<AppState>,
Path(event_id): Path<Uuid>,
) -> ApiResult<Json<ZoneListResponse>> {
let event = state
.get_event(event_id)
.ok_or_else(|| ApiError::event_not_found(event_id))?;
let zones: Vec<_> = event.zones().iter().map(zone_to_response).collect();
let total = zones.len();
Ok(Json(ZoneListResponse { zones, total }))
}
/// Add a scan zone to a disaster event.
///
/// # OpenAPI Specification
///
/// ```yaml
/// /api/v1/mat/events/{event_id}/zones:
/// post:
/// summary: Add a scan zone
/// description: Creates a new scan zone within a disaster event area
/// tags: [Zones]
/// parameters:
/// - name: event_id
/// in: path
/// required: true
/// schema:
/// type: string
/// format: uuid
/// requestBody:
/// required: true
/// content:
/// application/json:
/// schema:
/// $ref: '#/components/schemas/CreateZoneRequest'
/// responses:
/// 201:
/// description: Zone created successfully
/// content:
/// application/json:
/// schema:
/// $ref: '#/components/schemas/ZoneResponse'
/// 404:
/// description: Event not found
/// 400:
/// description: Invalid zone configuration
/// ```
#[tracing::instrument(skip(state))]
pub async fn add_zone(
State(state): State<AppState>,
Path(event_id): Path<Uuid>,
Json(request): Json<CreateZoneRequest>,
) -> ApiResult<(StatusCode, Json<ZoneResponse>)> {
// Convert DTO to domain
let bounds = match request.bounds {
ZoneBoundsDto::Rectangle { min_x, min_y, max_x, max_y } => {
if max_x <= min_x || max_y <= min_y {
return Err(ApiError::validation(
"max coordinates must be greater than min coordinates",
Some("bounds".to_string()),
));
}
ZoneBounds::rectangle(min_x, min_y, max_x, max_y)
}
ZoneBoundsDto::Circle { center_x, center_y, radius } => {
if radius <= 0.0 {
return Err(ApiError::validation(
"radius must be positive",
Some("bounds.radius".to_string()),
));
}
ZoneBounds::circle(center_x, center_y, radius)
}
ZoneBoundsDto::Polygon { vertices } => {
if vertices.len() < 3 {
return Err(ApiError::validation(
"polygon must have at least 3 vertices",
Some("bounds.vertices".to_string()),
));
}
ZoneBounds::polygon(vertices)
}
};
let params = if let Some(p) = request.parameters {
ScanParameters {
sensitivity: p.sensitivity.clamp(0.0, 1.0),
max_depth: p.max_depth.max(0.0),
resolution: match p.resolution {
ScanResolutionDto::Quick => ScanResolution::Quick,
ScanResolutionDto::Standard => ScanResolution::Standard,
ScanResolutionDto::High => ScanResolution::High,
ScanResolutionDto::Maximum => ScanResolution::Maximum,
},
enhanced_breathing: p.enhanced_breathing,
heartbeat_detection: p.heartbeat_detection,
}
} else {
ScanParameters::default()
};
let zone = ScanZone::with_parameters(&request.name, bounds, params);
let zone_response = zone_to_response(&zone);
let zone_id = *zone.id().as_uuid();
// Add zone to event
let added = state.update_event(event_id, move |e| {
e.add_zone(zone);
true
});
if added.is_none() {
return Err(ApiError::event_not_found(event_id));
}
tracing::info!(event_id = %event_id, zone_id = %zone_id, "Added scan zone");
Ok((StatusCode::CREATED, Json(zone_response)))
}
// ============================================================================
// Survivor Handlers
// ============================================================================
/// List survivors detected in a disaster event.
///
/// # OpenAPI Specification
///
/// ```yaml
/// /api/v1/mat/events/{event_id}/survivors:
/// get:
/// summary: List survivors
/// description: Returns all detected survivors in a disaster event
/// tags: [Survivors]
/// parameters:
/// - name: event_id
/// in: path
/// required: true
/// schema:
/// type: string
/// format: uuid
/// - name: triage_status
/// in: query
/// description: Filter by triage status
/// schema:
/// type: string
/// enum: [Immediate, Delayed, Minor, Deceased, Unknown]
/// - name: zone_id
/// in: query
/// description: Filter by zone
/// schema:
/// type: string
/// format: uuid
/// - name: min_confidence
/// in: query
/// description: Minimum confidence threshold
/// schema:
/// type: number
/// - name: deteriorating_only
/// in: query
/// description: Only return deteriorating survivors
/// schema:
/// type: boolean
/// responses:
/// 200:
/// description: List of survivors
/// content:
/// application/json:
/// schema:
/// $ref: '#/components/schemas/SurvivorListResponse'
/// 404:
/// description: Event not found
/// ```
#[tracing::instrument(skip(state))]
pub async fn list_survivors(
State(state): State<AppState>,
Path(event_id): Path<Uuid>,
Query(query): Query<ListSurvivorsQuery>,
) -> ApiResult<Json<SurvivorListResponse>> {
let event = state
.get_event(event_id)
.ok_or_else(|| ApiError::event_not_found(event_id))?;
let mut triage_summary = TriageSummary::default();
let survivors: Vec<_> = event
.survivors()
.into_iter()
.filter(|s| {
// Update triage counts for all survivors
update_triage_summary(&mut triage_summary, s.triage_status());
// Apply filters
if let Some(ref ts) = query.triage_status {
let survivor_triage: TriageStatusDto = s.triage_status().clone().into();
if !matches_triage_status(&survivor_triage, ts) {
return false;
}
}
if let Some(zone_id) = query.zone_id {
if s.zone_id().as_uuid() != &zone_id {
return false;
}
}
if let Some(min_conf) = query.min_confidence {
if s.confidence() < min_conf {
return false;
}
}
if query.deteriorating_only && !s.is_deteriorating() {
return false;
}
true
})
.map(survivor_to_response)
.collect();
let total = survivors.len();
Ok(Json(SurvivorListResponse {
survivors,
total,
triage_summary,
}))
}
// ============================================================================
// Alert Handlers
// ============================================================================
/// List alerts for a disaster event.
///
/// # OpenAPI Specification
///
/// ```yaml
/// /api/v1/mat/events/{event_id}/alerts:
/// get:
/// summary: List alerts
/// description: Returns all alerts generated for a disaster event
/// tags: [Alerts]
/// parameters:
/// - name: event_id
/// in: path
/// required: true
/// schema:
/// type: string
/// format: uuid
/// - name: priority
/// in: query
/// description: Filter by priority
/// schema:
/// type: string
/// enum: [Critical, High, Medium, Low]
/// - name: status
/// in: query
/// description: Filter by status
/// schema:
/// type: string
/// - name: pending_only
/// in: query
/// description: Only return pending alerts
/// schema:
/// type: boolean
/// - name: active_only
/// in: query
/// description: Only return active alerts
/// schema:
/// type: boolean
/// responses:
/// 200:
/// description: List of alerts
/// content:
/// application/json:
/// schema:
/// $ref: '#/components/schemas/AlertListResponse'
/// 404:
/// description: Event not found
/// ```
#[tracing::instrument(skip(state))]
pub async fn list_alerts(
State(state): State<AppState>,
Path(event_id): Path<Uuid>,
Query(query): Query<ListAlertsQuery>,
) -> ApiResult<Json<AlertListResponse>> {
// Verify event exists
if state.get_event(event_id).is_none() {
return Err(ApiError::event_not_found(event_id));
}
let all_alerts = state.list_alerts_for_event(event_id);
let mut priority_counts = PriorityCounts::default();
let alerts: Vec<_> = all_alerts
.into_iter()
.filter(|a| {
// Update priority counts
update_priority_counts(&mut priority_counts, a.priority());
// Apply filters
if let Some(ref priority) = query.priority {
let alert_priority: PriorityDto = a.priority().into();
if !matches_priority(&alert_priority, priority) {
return false;
}
}
if let Some(ref status) = query.status {
let alert_status: AlertStatusDto = a.status().clone().into();
if !matches_alert_status(&alert_status, status) {
return false;
}
}
if query.pending_only && !a.is_pending() {
return false;
}
if query.active_only && !a.is_active() {
return false;
}
true
})
.map(|a| alert_to_response(&a))
.collect();
let total = alerts.len();
Ok(Json(AlertListResponse {
alerts,
total,
priority_counts,
}))
}
/// Acknowledge an alert.
///
/// # OpenAPI Specification
///
/// ```yaml
/// /api/v1/mat/alerts/{alert_id}/acknowledge:
/// post:
/// summary: Acknowledge an alert
/// description: Marks an alert as acknowledged by a rescue team
/// tags: [Alerts]
/// parameters:
/// - name: alert_id
/// in: path
/// required: true
/// schema:
/// type: string
/// format: uuid
/// requestBody:
/// required: true
/// content:
/// application/json:
/// schema:
/// $ref: '#/components/schemas/AcknowledgeAlertRequest'
/// responses:
/// 200:
/// description: Alert acknowledged
/// content:
/// application/json:
/// schema:
/// $ref: '#/components/schemas/AcknowledgeAlertResponse'
/// 404:
/// description: Alert not found
/// 409:
/// description: Alert already acknowledged
/// ```
#[tracing::instrument(skip(state))]
pub async fn acknowledge_alert(
State(state): State<AppState>,
Path(alert_id): Path<Uuid>,
Json(request): Json<AcknowledgeAlertRequest>,
) -> ApiResult<Json<AcknowledgeAlertResponse>> {
let alert_data = state
.get_alert(alert_id)
.ok_or_else(|| ApiError::alert_not_found(alert_id))?;
if !alert_data.alert.is_pending() {
return Err(ApiError::InvalidState {
message: "Alert is not in pending state".to_string(),
current_state: format!("{:?}", alert_data.alert.status()),
});
}
let event_id = alert_data.event_id;
// Acknowledge the alert
state.update_alert(alert_id, |a| {
a.acknowledge(&request.acknowledged_by);
});
// Get updated alert
let updated = state
.get_alert(alert_id)
.ok_or_else(|| ApiError::alert_not_found(alert_id))?;
let response = alert_to_response(&updated.alert);
// Broadcast update
state.broadcast(WebSocketMessage::AlertUpdated {
event_id,
alert: response.clone(),
});
tracing::info!(
alert_id = %alert_id,
acknowledged_by = %request.acknowledged_by,
"Alert acknowledged"
);
Ok(Json(AcknowledgeAlertResponse {
success: true,
alert: response,
}))
}
// ============================================================================
// Helper Functions
// ============================================================================
fn event_to_response(event: DisasterEvent) -> EventResponse {
let triage_counts = event.triage_counts();
EventResponse {
id: *event.id().as_uuid(),
event_type: event.event_type().clone().into(),
status: event.status().clone().into(),
start_time: *event.start_time(),
latitude: event.location().y(),
longitude: event.location().x(),
description: event.description().to_string(),
zone_count: event.zones().len(),
survivor_count: event.survivors().len(),
triage_summary: TriageSummary {
immediate: triage_counts.immediate,
delayed: triage_counts.delayed,
minor: triage_counts.minor,
deceased: triage_counts.deceased,
unknown: triage_counts.unknown,
},
metadata: Some(EventMetadataDto {
estimated_occupancy: event.metadata().estimated_occupancy,
confirmed_rescued: event.metadata().confirmed_rescued,
confirmed_deceased: event.metadata().confirmed_deceased,
weather: event.metadata().weather.clone(),
lead_agency: event.metadata().lead_agency.clone(),
}),
}
}
fn zone_to_response(zone: &ScanZone) -> ZoneResponse {
let bounds = match zone.bounds() {
ZoneBounds::Rectangle { min_x, min_y, max_x, max_y } => {
ZoneBoundsDto::Rectangle {
min_x: *min_x,
min_y: *min_y,
max_x: *max_x,
max_y: *max_y,
}
}
ZoneBounds::Circle { center_x, center_y, radius } => {
ZoneBoundsDto::Circle {
center_x: *center_x,
center_y: *center_y,
radius: *radius,
}
}
ZoneBounds::Polygon { vertices } => {
ZoneBoundsDto::Polygon {
vertices: vertices.clone(),
}
}
};
let params = zone.parameters();
let parameters = ScanParametersDto {
sensitivity: params.sensitivity,
max_depth: params.max_depth,
resolution: match params.resolution {
ScanResolution::Quick => ScanResolutionDto::Quick,
ScanResolution::Standard => ScanResolutionDto::Standard,
ScanResolution::High => ScanResolutionDto::High,
ScanResolution::Maximum => ScanResolutionDto::Maximum,
},
enhanced_breathing: params.enhanced_breathing,
heartbeat_detection: params.heartbeat_detection,
};
ZoneResponse {
id: *zone.id().as_uuid(),
name: zone.name().to_string(),
status: zone.status().clone().into(),
bounds,
area: zone.area(),
parameters,
last_scan: zone.last_scan().cloned(),
scan_count: zone.scan_count(),
detections_count: zone.detections_count(),
}
}
fn survivor_to_response(survivor: &crate::Survivor) -> SurvivorResponse {
let location = survivor.location().map(|loc| LocationDto {
x: loc.x,
y: loc.y,
z: loc.z,
depth: loc.depth(),
uncertainty_radius: loc.uncertainty.horizontal_error,
confidence: loc.uncertainty.confidence,
});
let latest_vitals = survivor.vital_signs().latest();
let vital_signs = VitalSignsSummaryDto {
breathing_rate: latest_vitals.and_then(|v| v.breathing.as_ref().map(|b| b.rate_bpm)),
breathing_type: latest_vitals.and_then(|v| v.breathing.as_ref().map(|b| format!("{:?}", b.pattern_type))),
heart_rate: latest_vitals.and_then(|v| v.heartbeat.as_ref().map(|h| h.rate_bpm)),
has_heartbeat: latest_vitals.map(|v| v.has_heartbeat()).unwrap_or(false),
has_movement: latest_vitals.map(|v| v.has_movement()).unwrap_or(false),
movement_type: latest_vitals.and_then(|v| {
if v.movement.movement_type != MovementType::None {
Some(format!("{:?}", v.movement.movement_type))
} else {
None
}
}),
timestamp: latest_vitals.map(|v| v.timestamp).unwrap_or_else(chrono::Utc::now),
};
let metadata = {
let m = survivor.metadata();
if m.notes.is_empty() && m.tags.is_empty() && m.assigned_team.is_none() {
None
} else {
Some(SurvivorMetadataDto {
estimated_age_category: m.estimated_age_category.as_ref().map(|a| format!("{:?}", a)),
assigned_team: m.assigned_team.clone(),
notes: m.notes.clone(),
tags: m.tags.clone(),
})
}
};
SurvivorResponse {
id: *survivor.id().as_uuid(),
zone_id: *survivor.zone_id().as_uuid(),
status: survivor.status().clone().into(),
triage_status: survivor.triage_status().clone().into(),
location,
vital_signs,
confidence: survivor.confidence(),
first_detected: *survivor.first_detected(),
last_updated: *survivor.last_updated(),
is_deteriorating: survivor.is_deteriorating(),
metadata,
}
}
fn alert_to_response(alert: &crate::Alert) -> AlertResponse {
let location = alert.payload().location.as_ref().map(|loc| LocationDto {
x: loc.x,
y: loc.y,
z: loc.z,
depth: loc.depth(),
uncertainty_radius: loc.uncertainty.horizontal_error,
confidence: loc.uncertainty.confidence,
});
AlertResponse {
id: *alert.id().as_uuid(),
survivor_id: *alert.survivor_id().as_uuid(),
priority: alert.priority().into(),
status: alert.status().clone().into(),
title: alert.payload().title.clone(),
message: alert.payload().message.clone(),
triage_status: alert.payload().triage_status.clone().into(),
location,
recommended_action: if alert.payload().recommended_action.is_empty() {
None
} else {
Some(alert.payload().recommended_action.clone())
},
created_at: *alert.created_at(),
acknowledged_at: alert.acknowledged_at().cloned(),
acknowledged_by: alert.acknowledged_by().map(String::from),
escalation_count: alert.escalation_count(),
}
}
fn update_triage_summary(summary: &mut TriageSummary, status: &crate::TriageStatus) {
match status {
crate::TriageStatus::Immediate => summary.immediate += 1,
crate::TriageStatus::Delayed => summary.delayed += 1,
crate::TriageStatus::Minor => summary.minor += 1,
crate::TriageStatus::Deceased => summary.deceased += 1,
crate::TriageStatus::Unknown => summary.unknown += 1,
}
}
fn update_priority_counts(counts: &mut PriorityCounts, priority: crate::Priority) {
match priority {
crate::Priority::Critical => counts.critical += 1,
crate::Priority::High => counts.high += 1,
crate::Priority::Medium => counts.medium += 1,
crate::Priority::Low => counts.low += 1,
}
}
// Match helper functions (avoiding PartialEq on DTOs for flexibility)
fn matches_status(a: &EventStatusDto, b: &EventStatusDto) -> bool {
std::mem::discriminant(a) == std::mem::discriminant(b)
}
fn matches_triage_status(a: &TriageStatusDto, b: &TriageStatusDto) -> bool {
std::mem::discriminant(a) == std::mem::discriminant(b)
}
fn matches_priority(a: &PriorityDto, b: &PriorityDto) -> bool {
std::mem::discriminant(a) == std::mem::discriminant(b)
}
fn matches_alert_status(a: &AlertStatusDto, b: &AlertStatusDto) -> bool {
std::mem::discriminant(a) == std::mem::discriminant(b)
}

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rust-port/wifi-densepose-rs/crates/wifi-densepose-mat/src/api/mod.rs Normal file
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//! REST API endpoints for WiFi-DensePose MAT disaster response monitoring.
//!
//! This module provides a complete REST API and WebSocket interface for
//! managing disaster events, zones, survivors, and alerts in real-time.
//!
//! ## Endpoints
//!
//! ### Disaster Events
//! - `GET /api/v1/mat/events` - List all disaster events
//! - `POST /api/v1/mat/events` - Create new disaster event
//! - `GET /api/v1/mat/events/{id}` - Get event details
//!
//! ### Zones
//! - `GET /api/v1/mat/events/{id}/zones` - List zones for event
//! - `POST /api/v1/mat/events/{id}/zones` - Add zone to event
//!
//! ### Survivors
//! - `GET /api/v1/mat/events/{id}/survivors` - List survivors in event
//!
//! ### Alerts
//! - `GET /api/v1/mat/events/{id}/alerts` - List alerts for event
//! - `POST /api/v1/mat/alerts/{id}/acknowledge` - Acknowledge alert
//!
//! ### WebSocket
//! - `WS /ws/mat/stream` - Real-time survivor and alert stream
pub mod dto;
pub mod handlers;
pub mod error;
pub mod state;
pub mod websocket;
use axum::{
Router,
routing::{get, post},
};
pub use dto::*;
pub use error::ApiError;
pub use state::AppState;
/// Create the MAT API router with all endpoints.
///
/// # Example
///
/// ```rust,no_run
/// use wifi_densepose_mat::api::{create_router, AppState};
///
/// #[tokio::main]
/// async fn main() {
/// let state = AppState::new();
/// let app = create_router(state);
/// // ... serve with axum
/// }
/// ```
pub fn create_router(state: AppState) -> Router {
Router::new()
// Event endpoints
.route("/api/v1/mat/events", get(handlers::list_events).post(handlers::create_event))
.route("/api/v1/mat/events/:event_id", get(handlers::get_event))
// Zone endpoints
.route("/api/v1/mat/events/:event_id/zones", get(handlers::list_zones).post(handlers::add_zone))
// Survivor endpoints
.route("/api/v1/mat/events/:event_id/survivors", get(handlers::list_survivors))
// Alert endpoints
.route("/api/v1/mat/events/:event_id/alerts", get(handlers::list_alerts))
.route("/api/v1/mat/alerts/:alert_id/acknowledge", post(handlers::acknowledge_alert))
// WebSocket endpoint
.route("/ws/mat/stream", get(websocket::ws_handler))
.with_state(state)
}

258
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//! Application state for the MAT REST API.
//!
//! This module provides the shared state that is passed to all API handlers.
//! It contains repositories, services, and real-time event broadcasting.
use std::collections::HashMap;
use std::sync::Arc;
use parking_lot::RwLock;
use tokio::sync::broadcast;
use uuid::Uuid;
use crate::domain::{
DisasterEvent, Alert,
};
use super::dto::WebSocketMessage;
/// Shared application state for the API.
///
/// This is cloned for each request handler and provides thread-safe
/// access to shared resources.
#[derive(Clone)]
pub struct AppState {
inner: Arc<AppStateInner>,
}
/// Inner state (not cloned, shared via Arc).
struct AppStateInner {
/// In-memory event repository
events: RwLock<HashMap<Uuid, DisasterEvent>>,
/// In-memory alert repository
alerts: RwLock<HashMap<Uuid, AlertWithEventId>>,
/// Broadcast channel for real-time updates
broadcast_tx: broadcast::Sender<WebSocketMessage>,
/// Configuration
config: ApiConfig,
}
/// Alert with its associated event ID for lookup.
#[derive(Clone)]
pub struct AlertWithEventId {
pub alert: Alert,
pub event_id: Uuid,
}
/// API configuration.
#[derive(Clone)]
pub struct ApiConfig {
/// Maximum number of events to store
pub max_events: usize,
/// Maximum survivors per event
pub max_survivors_per_event: usize,
/// Broadcast channel capacity
pub broadcast_capacity: usize,
}
impl Default for ApiConfig {
fn default() -> Self {
Self {
max_events: 1000,
max_survivors_per_event: 10000,
broadcast_capacity: 1024,
}
}
}
impl AppState {
/// Create a new application state with default configuration.
pub fn new() -> Self {
Self::with_config(ApiConfig::default())
}
/// Create a new application state with custom configuration.
pub fn with_config(config: ApiConfig) -> Self {
let (broadcast_tx, _) = broadcast::channel(config.broadcast_capacity);
Self {
inner: Arc::new(AppStateInner {
events: RwLock::new(HashMap::new()),
alerts: RwLock::new(HashMap::new()),
broadcast_tx,
config,
}),
}
}
// ========================================================================
// Event Operations
// ========================================================================
/// Store a disaster event.
pub fn store_event(&self, event: DisasterEvent) -> Uuid {
let id = *event.id().as_uuid();
let mut events = self.inner.events.write();
// Check capacity
if events.len() >= self.inner.config.max_events {
// Remove oldest closed event
let oldest_closed = events
.iter()
.filter(|(_, e)| matches!(e.status(), crate::EventStatus::Closed))
.min_by_key(|(_, e)| e.start_time())
.map(|(id, _)| *id);
if let Some(old_id) = oldest_closed {
events.remove(&old_id);
}
}
events.insert(id, event);
id
}
/// Get an event by ID.
pub fn get_event(&self, id: Uuid) -> Option<DisasterEvent> {
self.inner.events.read().get(&id).cloned()
}
/// Get mutable access to an event (for updates).
pub fn update_event<F, R>(&self, id: Uuid, f: F) -> Option<R>
where
F: FnOnce(&mut DisasterEvent) -> R,
{
let mut events = self.inner.events.write();
events.get_mut(&id).map(f)
}
/// List all events.
pub fn list_events(&self) -> Vec<DisasterEvent> {
self.inner.events.read().values().cloned().collect()
}
/// Get event count.
pub fn event_count(&self) -> usize {
self.inner.events.read().len()
}
// ========================================================================
// Alert Operations
// ========================================================================
/// Store an alert.
pub fn store_alert(&self, alert: Alert, event_id: Uuid) -> Uuid {
let id = *alert.id().as_uuid();
let mut alerts = self.inner.alerts.write();
alerts.insert(id, AlertWithEventId { alert, event_id });
id
}
/// Get an alert by ID.
pub fn get_alert(&self, id: Uuid) -> Option<AlertWithEventId> {
self.inner.alerts.read().get(&id).cloned()
}
/// Update an alert.
pub fn update_alert<F, R>(&self, id: Uuid, f: F) -> Option<R>
where
F: FnOnce(&mut Alert) -> R,
{
let mut alerts = self.inner.alerts.write();
alerts.get_mut(&id).map(|a| f(&mut a.alert))
}
/// List alerts for an event.
pub fn list_alerts_for_event(&self, event_id: Uuid) -> Vec<Alert> {
self.inner
.alerts
.read()
.values()
.filter(|a| a.event_id == event_id)
.map(|a| a.alert.clone())
.collect()
}
// ========================================================================
// Broadcasting
// ========================================================================
/// Get a receiver for real-time updates.
pub fn subscribe(&self) -> broadcast::Receiver<WebSocketMessage> {
self.inner.broadcast_tx.subscribe()
}
/// Broadcast a message to all subscribers.
pub fn broadcast(&self, message: WebSocketMessage) {
// Ignore send errors (no subscribers)
let _ = self.inner.broadcast_tx.send(message);
}
/// Get the number of active subscribers.
pub fn subscriber_count(&self) -> usize {
self.inner.broadcast_tx.receiver_count()
}
}
impl Default for AppState {
fn default() -> Self {
Self::new()
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::domain::{DisasterType, DisasterEvent};
use geo::Point;
#[test]
fn test_store_and_get_event() {
let state = AppState::new();
let event = DisasterEvent::new(
DisasterType::Earthquake,
Point::new(-122.4194, 37.7749),
"Test earthquake",
);
let id = *event.id().as_uuid();
state.store_event(event);
let retrieved = state.get_event(id);
assert!(retrieved.is_some());
assert_eq!(retrieved.unwrap().id().as_uuid(), &id);
}
#[test]
fn test_update_event() {
let state = AppState::new();
let event = DisasterEvent::new(
DisasterType::Earthquake,
Point::new(0.0, 0.0),
"Test",
);
let id = *event.id().as_uuid();
state.store_event(event);
let result = state.update_event(id, |e| {
e.set_status(crate::EventStatus::Suspended);
true
});
assert!(result.unwrap());
let updated = state.get_event(id).unwrap();
assert!(matches!(updated.status(), crate::EventStatus::Suspended));
}
#[test]
fn test_broadcast_subscribe() {
let state = AppState::new();
let mut rx = state.subscribe();
state.broadcast(WebSocketMessage::Heartbeat {
timestamp: chrono::Utc::now(),
});
// Try to receive (in async context this would work)
assert_eq!(state.subscriber_count(), 1);
}
}

330
rust-port/wifi-densepose-rs/crates/wifi-densepose-mat/src/api/websocket.rs Normal file
View File

@@ -0,0 +1,330 @@
//! WebSocket handler for real-time survivor and alert streaming.
//!
//! This module provides a WebSocket endpoint that streams real-time updates
//! for survivor detections, status changes, and alerts.
//!
//! ## Protocol
//!
//! Clients connect to `/ws/mat/stream` and receive JSON-formatted messages.
//!
//! ### Message Types
//!
//! - `survivor_detected` - New survivor found
//! - `survivor_updated` - Survivor status/vitals changed
//! - `survivor_lost` - Survivor signal lost
//! - `alert_created` - New alert generated
//! - `alert_updated` - Alert status changed
//! - `zone_scan_complete` - Zone scan finished
//! - `event_status_changed` - Event status changed
//! - `heartbeat` - Keep-alive ping
//! - `error` - Error message
//!
//! ### Client Commands
//!
//! Clients can send JSON commands:
//! - `{"action": "subscribe", "event_id": "..."}`
//! - `{"action": "unsubscribe", "event_id": "..."}`
//! - `{"action": "subscribe_all"}`
//! - `{"action": "get_state", "event_id": "..."}`
use std::collections::HashSet;
use std::sync::Arc;
use std::time::Duration;
use axum::{
extract::{
ws::{Message, WebSocket, WebSocketUpgrade},
State,
},
response::Response,
};
use futures_util::{SinkExt, StreamExt};
use parking_lot::Mutex;
use tokio::sync::broadcast;
use uuid::Uuid;
use super::dto::{WebSocketMessage, WebSocketRequest};
use super::state::AppState;
/// WebSocket connection handler.
///
/// # OpenAPI Specification
///
/// ```yaml
/// /ws/mat/stream:
/// get:
/// summary: Real-time event stream
/// description: |
/// WebSocket endpoint for real-time updates on survivors and alerts.
///
/// ## Connection
///
/// Connect using a WebSocket client to receive real-time updates.
///
/// ## Messages
///
/// All messages are JSON-formatted with a "type" field indicating
/// the message type.
///
/// ## Subscriptions
///
/// By default, clients receive updates for all events. Send a
/// subscribe/unsubscribe command to filter to specific events.
/// tags: [WebSocket]
/// responses:
/// 101:
/// description: WebSocket connection established
/// ```
#[tracing::instrument(skip(state, ws))]
pub async fn ws_handler(
State(state): State<AppState>,
ws: WebSocketUpgrade,
) -> Response {
ws.on_upgrade(move |socket| handle_socket(socket, state))
}
/// Handle an established WebSocket connection.
async fn handle_socket(socket: WebSocket, state: AppState) {
let (mut sender, mut receiver) = socket.split();
// Subscription state for this connection
let subscriptions: Arc<Mutex<SubscriptionState>> = Arc::new(Mutex::new(SubscriptionState::new()));
// Subscribe to broadcast channel
let mut broadcast_rx = state.subscribe();
// Spawn task to forward broadcast messages to client
let subs_clone = subscriptions.clone();
let forward_task = tokio::spawn(async move {
loop {
tokio::select! {
// Receive from broadcast channel
result = broadcast_rx.recv() => {
match result {
Ok(msg) => {
// Check if this message matches subscription filter
if subs_clone.lock().should_receive(&msg) {
if let Ok(json) = serde_json::to_string(&msg) {
if sender.send(Message::Text(json)).await.is_err() {
break;
}
}
}
}
Err(broadcast::error::RecvError::Lagged(n)) => {
tracing::warn!(lagged = n, "WebSocket client lagged, messages dropped");
// Send error notification
let error = WebSocketMessage::Error {
code: "MESSAGES_DROPPED".to_string(),
message: format!("{} messages were dropped due to slow client", n),
};
if let Ok(json) = serde_json::to_string(&error) {
if sender.send(Message::Text(json)).await.is_err() {
break;
}
}
}
Err(broadcast::error::RecvError::Closed) => {
break;
}
}
}
// Periodic heartbeat
_ = tokio::time::sleep(Duration::from_secs(30)) => {
let heartbeat = WebSocketMessage::Heartbeat {
timestamp: chrono::Utc::now(),
};
if let Ok(json) = serde_json::to_string(&heartbeat) {
if sender.send(Message::Ping(json.into_bytes())).await.is_err() {
break;
}
}
}
}
}
});
// Handle incoming messages from client
let subs_clone = subscriptions.clone();
let state_clone = state.clone();
while let Some(Ok(msg)) = receiver.next().await {
match msg {
Message::Text(text) => {
// Parse and handle client command
if let Err(e) = handle_client_message(&text, &subs_clone, &state_clone).await {
tracing::warn!(error = %e, "Failed to handle WebSocket message");
}
}
Message::Binary(_) => {
// Binary messages not supported
tracing::debug!("Ignoring binary WebSocket message");
}
Message::Ping(data) => {
// Pong handled automatically by axum
tracing::trace!(len = data.len(), "Received ping");
}
Message::Pong(_) => {
// Heartbeat response
tracing::trace!("Received pong");
}
Message::Close(_) => {
tracing::debug!("Client closed WebSocket connection");
break;
}
}
}
// Clean up
forward_task.abort();
tracing::debug!("WebSocket connection closed");
}
/// Handle a client message (subscription commands).
async fn handle_client_message(
text: &str,
subscriptions: &Arc<Mutex<SubscriptionState>>,
state: &AppState,
) -> Result<(), Box<dyn std::error::Error>> {
let request: WebSocketRequest = serde_json::from_str(text)?;
match request {
WebSocketRequest::Subscribe { event_id } => {
// Verify event exists
if state.get_event(event_id).is_some() {
subscriptions.lock().subscribe(event_id);
tracing::debug!(event_id = %event_id, "Client subscribed to event");
}
}
WebSocketRequest::Unsubscribe { event_id } => {
subscriptions.lock().unsubscribe(&event_id);
tracing::debug!(event_id = %event_id, "Client unsubscribed from event");
}
WebSocketRequest::SubscribeAll => {
subscriptions.lock().subscribe_all();
tracing::debug!("Client subscribed to all events");
}
WebSocketRequest::GetState { event_id } => {
// This would send current state - simplified for now
tracing::debug!(event_id = %event_id, "Client requested state");
}
}
Ok(())
}
/// Tracks subscription state for a WebSocket connection.
struct SubscriptionState {
/// Subscribed event IDs (empty = all events)
event_ids: HashSet<Uuid>,
/// Whether subscribed to all events
all_events: bool,
}
impl SubscriptionState {
fn new() -> Self {
Self {
event_ids: HashSet::new(),
all_events: true, // Default to receiving all events
}
}
fn subscribe(&mut self, event_id: Uuid) {
self.all_events = false;
self.event_ids.insert(event_id);
}
fn unsubscribe(&mut self, event_id: &Uuid) {
self.event_ids.remove(event_id);
if self.event_ids.is_empty() {
self.all_events = true;
}
}
fn subscribe_all(&mut self) {
self.all_events = true;
self.event_ids.clear();
}
fn should_receive(&self, msg: &WebSocketMessage) -> bool {
if self.all_events {
return true;
}
// Extract event_id from message and check subscription
let event_id = match msg {
WebSocketMessage::SurvivorDetected { event_id, .. } => Some(*event_id),
WebSocketMessage::SurvivorUpdated { event_id, .. } => Some(*event_id),
WebSocketMessage::SurvivorLost { event_id, .. } => Some(*event_id),
WebSocketMessage::AlertCreated { event_id, .. } => Some(*event_id),
WebSocketMessage::AlertUpdated { event_id, .. } => Some(*event_id),
WebSocketMessage::ZoneScanComplete { event_id, .. } => Some(*event_id),
WebSocketMessage::EventStatusChanged { event_id, .. } => Some(*event_id),
WebSocketMessage::Heartbeat { .. } => None, // Always receive
WebSocketMessage::Error { .. } => None, // Always receive
};
match event_id {
Some(id) => self.event_ids.contains(&id),
None => true, // Non-event-specific messages always sent
}
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_subscription_state() {
let mut state = SubscriptionState::new();
// Default is all events
assert!(state.all_events);
// Subscribe to specific event
let event_id = Uuid::new_v4();
state.subscribe(event_id);
assert!(!state.all_events);
assert!(state.event_ids.contains(&event_id));
// Unsubscribe returns to all events
state.unsubscribe(&event_id);
assert!(state.all_events);
}
#[test]
fn test_should_receive() {
let mut state = SubscriptionState::new();
let event_id = Uuid::new_v4();
let other_id = Uuid::new_v4();
// All events mode - receive everything
let msg = WebSocketMessage::Heartbeat {
timestamp: chrono::Utc::now(),
};
assert!(state.should_receive(&msg));
// Subscribe to specific event
state.subscribe(event_id);
// Should receive messages for subscribed event
let msg = WebSocketMessage::SurvivorLost {
event_id,
survivor_id: Uuid::new_v4(),
};
assert!(state.should_receive(&msg));
// Should not receive messages for other events
let msg = WebSocketMessage::SurvivorLost {
event_id: other_id,
survivor_id: Uuid::new_v4(),
};
assert!(!state.should_receive(&msg));
// Heartbeats always received
let msg = WebSocketMessage::Heartbeat {
timestamp: chrono::Utc::now(),
};
assert!(state.should_receive(&msg));
}
}

116
rust-port/wifi-densepose-rs/crates/wifi-densepose-mat/src/detection/pipeline.rs
View File

@@ -1,6 +1,10 @@
//! Detection pipeline combining all vital signs detectors. //! Detection pipeline combining all vital signs detectors.
//!
//! This module provides both traditional signal-processing-based detection
//! and optional ML-enhanced detection for improved accuracy.
use crate::domain::{ScanZone, VitalSignsReading, ConfidenceScore}; use crate::domain::{ScanZone, VitalSignsReading, ConfidenceScore};
use crate::ml::{MlDetectionConfig, MlDetectionPipeline, MlDetectionResult};
use crate::{DisasterConfig, MatError}; use crate::{DisasterConfig, MatError};
use super::{ use super::{
BreathingDetector, BreathingDetectorConfig, BreathingDetector, BreathingDetectorConfig,
@@ -23,6 +27,10 @@ pub struct DetectionConfig {
pub enable_heartbeat: bool, pub enable_heartbeat: bool,
/// Minimum overall confidence to report detection /// Minimum overall confidence to report detection
pub min_confidence: f64, pub min_confidence: f64,
/// Enable ML-enhanced detection
pub enable_ml: bool,
/// ML detection configuration (if enabled)
pub ml_config: Option<MlDetectionConfig>,
} }
impl Default for DetectionConfig { impl Default for DetectionConfig {
@@ -34,6 +42,8 @@ impl Default for DetectionConfig {
sample_rate: 1000.0, sample_rate: 1000.0,
enable_heartbeat: false, enable_heartbeat: false,
min_confidence: 0.3, min_confidence: 0.3,
enable_ml: false,
ml_config: None,
} }
} }
} }
@@ -53,6 +63,20 @@ impl DetectionConfig {
detection_config detection_config
} }
/// Enable ML-enhanced detection with the given configuration
pub fn with_ml(mut self, ml_config: MlDetectionConfig) -> Self {
self.enable_ml = true;
self.ml_config = Some(ml_config);
self
}
/// Enable ML-enhanced detection with default configuration
pub fn with_default_ml(mut self) -> Self {
self.enable_ml = true;
self.ml_config = Some(MlDetectionConfig::default());
self
}
} }
/// Trait for vital signs detection /// Trait for vital signs detection
@@ -123,20 +147,42 @@ pub struct DetectionPipeline {
heartbeat_detector: HeartbeatDetector, heartbeat_detector: HeartbeatDetector,
movement_classifier: MovementClassifier, movement_classifier: MovementClassifier,
data_buffer: parking_lot::RwLock<CsiDataBuffer>, data_buffer: parking_lot::RwLock<CsiDataBuffer>,
/// Optional ML detection pipeline
ml_pipeline: Option<MlDetectionPipeline>,
} }
impl DetectionPipeline { impl DetectionPipeline {
/// Create a new detection pipeline /// Create a new detection pipeline
pub fn new(config: DetectionConfig) -> Self { pub fn new(config: DetectionConfig) -> Self {
let ml_pipeline = if config.enable_ml {
config.ml_config.clone().map(MlDetectionPipeline::new)
} else {
None
};
Self { Self {
breathing_detector: BreathingDetector::new(config.breathing.clone()), breathing_detector: BreathingDetector::new(config.breathing.clone()),
heartbeat_detector: HeartbeatDetector::new(config.heartbeat.clone()), heartbeat_detector: HeartbeatDetector::new(config.heartbeat.clone()),
movement_classifier: MovementClassifier::new(config.movement.clone()), movement_classifier: MovementClassifier::new(config.movement.clone()),
data_buffer: parking_lot::RwLock::new(CsiDataBuffer::new(config.sample_rate)), data_buffer: parking_lot::RwLock::new(CsiDataBuffer::new(config.sample_rate)),
ml_pipeline,
config, config,
} }
} }
/// Initialize ML models asynchronously (if enabled)
pub async fn initialize_ml(&mut self) -> Result<(), MatError> {
if let Some(ref mut ml) = self.ml_pipeline {
ml.initialize().await.map_err(MatError::from)?;
}
Ok(())
}
/// Check if ML pipeline is ready
pub fn ml_ready(&self) -> bool {
self.ml_pipeline.as_ref().map_or(true, |ml| ml.is_ready())
}
/// Process a scan zone and return detected vital signs /// Process a scan zone and return detected vital signs
pub async fn process_zone(&self, zone: &ScanZone) -> Result<Option<VitalSignsReading>, MatError> { pub async fn process_zone(&self, zone: &ScanZone) -> Result<Option<VitalSignsReading>, MatError> {
// In a real implementation, this would: // In a real implementation, this would:
@@ -152,17 +198,66 @@ impl DetectionPipeline {
return Ok(None); return Ok(None);
} }
// Detect vital signs // Detect vital signs using traditional pipeline
let reading = self.detect_from_buffer(&buffer, zone)?; let reading = self.detect_from_buffer(&buffer, zone)?;
// If ML is enabled and ready, enhance with ML predictions
let enhanced_reading = if self.config.enable_ml && self.ml_ready() {
self.enhance_with_ml(reading, &buffer).await?
} else {
reading
};
// Check minimum confidence // Check minimum confidence
if let Some(ref r) = reading { if let Some(ref r) = enhanced_reading {
if r.confidence.value() < self.config.min_confidence { if r.confidence.value() < self.config.min_confidence {
return Ok(None); return Ok(None);
} }
} }
Ok(reading) Ok(enhanced_reading)
}
/// Enhance detection results with ML predictions
async fn enhance_with_ml(
&self,
traditional_reading: Option<VitalSignsReading>,
buffer: &CsiDataBuffer,
) -> Result<Option<VitalSignsReading>, MatError> {
let ml_pipeline = match &self.ml_pipeline {
Some(ml) => ml,
None => return Ok(traditional_reading),
};
// Get ML predictions
let ml_result = ml_pipeline.process(buffer).await.map_err(MatError::from)?;
// If we have ML vital classification, use it to enhance or replace traditional
if let Some(ref ml_vital) = ml_result.vital_classification {
if let Some(vital_reading) = ml_vital.to_vital_signs_reading() {
// If ML result has higher confidence, prefer it
if let Some(ref traditional) = traditional_reading {
if ml_result.overall_confidence() > traditional.confidence.value() as f32 {
return Ok(Some(vital_reading));
}
} else {
// No traditional reading, use ML result
return Ok(Some(vital_reading));
}
}
}
Ok(traditional_reading)
}
/// Get the latest ML detection results (if ML is enabled)
pub async fn get_ml_results(&self) -> Option<MlDetectionResult> {
let buffer = self.data_buffer.read();
if let Some(ref ml) = self.ml_pipeline {
ml.process(&buffer).await.ok()
} else {
None
}
} }
/// Add CSI data to the processing buffer /// Add CSI data to the processing buffer
@@ -236,8 +331,23 @@ impl DetectionPipeline {
self.breathing_detector = BreathingDetector::new(config.breathing.clone()); self.breathing_detector = BreathingDetector::new(config.breathing.clone());
self.heartbeat_detector = HeartbeatDetector::new(config.heartbeat.clone()); self.heartbeat_detector = HeartbeatDetector::new(config.heartbeat.clone());
self.movement_classifier = MovementClassifier::new(config.movement.clone()); self.movement_classifier = MovementClassifier::new(config.movement.clone());
// Update ML pipeline if configuration changed
if config.enable_ml != self.config.enable_ml || config.ml_config != self.config.ml_config {
self.ml_pipeline = if config.enable_ml {
config.ml_config.clone().map(MlDetectionPipeline::new)
} else {
None
};
}
self.config = config; self.config = config;
} }
/// Get the ML pipeline (if enabled)
pub fn ml_pipeline(&self) -> Option<&MlDetectionPipeline> {
self.ml_pipeline.as_ref()
}
} }
impl VitalSignsDetector for DetectionPipeline { impl VitalSignsDetector for DetectionPipeline {

1410
rust-port/wifi-densepose-rs/crates/wifi-densepose-mat/src/integration/csi_receiver.rs Normal file
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1166
rust-port/wifi-densepose-rs/crates/wifi-densepose-mat/src/integration/hardware_adapter.rs
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File diff suppressed because it is too large Load Diff

188
rust-port/wifi-densepose-rs/crates/wifi-densepose-mat/src/integration/mod.rs
View File

@@ -4,14 +4,102 @@
//! - wifi-densepose-signal types and wifi-Mat domain types //! - wifi-densepose-signal types and wifi-Mat domain types
//! - wifi-densepose-nn inference results and detection results //! - wifi-densepose-nn inference results and detection results
//! - wifi-densepose-hardware interfaces and sensor abstractions //! - wifi-densepose-hardware interfaces and sensor abstractions
//!
//! # Hardware Support
//!
//! The integration layer supports multiple WiFi CSI hardware platforms:
//!
//! - **ESP32**: Via serial communication using ESP-CSI firmware
//! - **Intel 5300 NIC**: Using Linux CSI Tool (iwlwifi driver)
//! - **Atheros NICs**: Using ath9k/ath10k/ath11k CSI patches
//! - **Nexmon**: For Broadcom chips with CSI firmware
//!
//! # Example Usage
//!
//! ```ignore
//! use wifi_densepose_mat::integration::{
//! HardwareAdapter, HardwareConfig, AtherosDriver,
//! csi_receiver::{UdpCsiReceiver, ReceiverConfig},
//! };
//!
//! // Configure for ESP32
//! let config = HardwareConfig::esp32("/dev/ttyUSB0", 921600);
//! let mut adapter = HardwareAdapter::with_config(config);
//! adapter.initialize().await?;
//!
//! // Or configure for Intel 5300
//! let config = HardwareConfig::intel_5300("wlan0");
//! let mut adapter = HardwareAdapter::with_config(config);
//!
//! // Or use UDP receiver for network streaming
//! let config = ReceiverConfig::udp("0.0.0.0", 5500);
//! let mut receiver = UdpCsiReceiver::new(config).await?;
//! ```
mod signal_adapter; mod signal_adapter;
mod neural_adapter; mod neural_adapter;
mod hardware_adapter; mod hardware_adapter;
pub mod csi_receiver;
pub use signal_adapter::SignalAdapter; pub use signal_adapter::SignalAdapter;
pub use neural_adapter::NeuralAdapter; pub use neural_adapter::NeuralAdapter;
pub use hardware_adapter::HardwareAdapter; pub use hardware_adapter::{
// Main adapter
HardwareAdapter,
// Configuration types
HardwareConfig,
DeviceType,
DeviceSettings,
AtherosDriver,
ChannelConfig,
Bandwidth,
// Serial settings
SerialSettings,
Parity,
FlowControl,
// Network interface settings
NetworkInterfaceSettings,
AntennaConfig,
// UDP settings
UdpSettings,
// PCAP settings
PcapSettings,
// Sensor types
SensorInfo,
SensorStatus,
// CSI data types
CsiReadings,
CsiMetadata,
SensorCsiReading,
FrameControlType,
CsiStream,
// Health and stats
HardwareHealth,
HealthStatus,
StreamingStats,
};
pub use csi_receiver::{
// Receiver types
UdpCsiReceiver,
SerialCsiReceiver,
PcapCsiReader,
// Configuration
ReceiverConfig,
CsiSource,
UdpSourceConfig,
SerialSourceConfig,
PcapSourceConfig,
SerialParity,
// Packet types
CsiPacket,
CsiPacketMetadata,
CsiPacketFormat,
// Parser
CsiParser,
// Stats
ReceiverStats,
};
/// Configuration for integration layer /// Configuration for integration layer
#[derive(Debug, Clone, Default)] #[derive(Debug, Clone, Default)]
@@ -22,6 +110,40 @@ pub struct IntegrationConfig {
pub batch_size: usize, pub batch_size: usize,
/// Enable signal preprocessing optimizations /// Enable signal preprocessing optimizations
pub optimize_signal: bool, pub optimize_signal: bool,
/// Hardware configuration
pub hardware: Option<HardwareConfig>,
}
impl IntegrationConfig {
/// Create configuration for real-time processing
pub fn realtime() -> Self {
Self {
use_gpu: true,
batch_size: 1,
optimize_signal: true,
hardware: None,
}
}
/// Create configuration for batch processing
pub fn batch(batch_size: usize) -> Self {
Self {
use_gpu: true,
batch_size,
optimize_signal: true,
hardware: None,
}
}
/// Create configuration with specific hardware
pub fn with_hardware(hardware: HardwareConfig) -> Self {
Self {
use_gpu: true,
batch_size: 1,
optimize_signal: true,
hardware: Some(hardware),
}
}
} }
/// Error type for integration layer /// Error type for integration layer
@@ -46,4 +168,68 @@ pub enum AdapterError {
/// Data format error /// Data format error
#[error("Data format error: {0}")] #[error("Data format error: {0}")]
DataFormat(String), DataFormat(String),
/// I/O error
#[error("I/O error: {0}")]
Io(#[from] std::io::Error),
/// Timeout error
#[error("Timeout error: {0}")]
Timeout(String),
}
/// Prelude module for convenient imports
pub mod prelude {
pub use super::{
AdapterError,
HardwareAdapter,
HardwareConfig,
DeviceType,
AtherosDriver,
Bandwidth,
CsiReadings,
CsiPacket,
CsiPacketFormat,
IntegrationConfig,
};
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_integration_config_defaults() {
let config = IntegrationConfig::default();
assert!(!config.use_gpu);
assert_eq!(config.batch_size, 0);
assert!(!config.optimize_signal);
assert!(config.hardware.is_none());
}
#[test]
fn test_integration_config_realtime() {
let config = IntegrationConfig::realtime();
assert!(config.use_gpu);
assert_eq!(config.batch_size, 1);
assert!(config.optimize_signal);
}
#[test]
fn test_integration_config_batch() {
let config = IntegrationConfig::batch(32);
assert!(config.use_gpu);
assert_eq!(config.batch_size, 32);
}
#[test]
fn test_integration_config_with_hardware() {
let hw_config = HardwareConfig::esp32("/dev/ttyUSB0", 921600);
let config = IntegrationConfig::with_hardware(hw_config);
assert!(config.hardware.is_some());
assert!(matches!(
config.hardware.as_ref().unwrap().device_type,
DeviceType::Esp32
));
}
} }

27
rust-port/wifi-densepose-rs/crates/wifi-densepose-mat/src/lib.rs
View File

@@ -78,10 +78,12 @@
#![warn(rustdoc::missing_crate_level_docs)] #![warn(rustdoc::missing_crate_level_docs)]
pub mod alerting; pub mod alerting;
pub mod api;
pub mod detection; pub mod detection;
pub mod domain; pub mod domain;
pub mod integration; pub mod integration;
pub mod localization; pub mod localization;
pub mod ml;
// Re-export main types // Re-export main types
pub use domain::{ pub use domain::{
@@ -121,6 +123,23 @@ pub use integration::{
AdapterError, IntegrationConfig, AdapterError, IntegrationConfig,
}; };
pub use api::{
create_router, AppState,
};
pub use ml::{
// Core ML types
MlError, MlResult, MlDetectionConfig, MlDetectionPipeline, MlDetectionResult,
// Debris penetration model
DebrisPenetrationModel, DebrisFeatures, DepthEstimate as MlDepthEstimate,
DebrisModel, DebrisModelConfig, DebrisFeatureExtractor,
MaterialType, DebrisClassification, AttenuationPrediction,
// Vital signs classifier
VitalSignsClassifier, VitalSignsClassifierConfig,
BreathingClassification, HeartbeatClassification,
UncertaintyEstimate, ClassifierOutput,
};
/// Library version /// Library version
pub const VERSION: &str = env!("CARGO_PKG_VERSION"); pub const VERSION: &str = env!("CARGO_PKG_VERSION");
@@ -165,6 +184,10 @@ pub enum MatError {
/// I/O error /// I/O error
#[error("I/O error: {0}")] #[error("I/O error: {0}")]
Io(#[from] std::io::Error), Io(#[from] std::io::Error),
/// Machine learning error
#[error("ML error: {0}")]
Ml(#[from] ml::MlError),
} }
/// Configuration for the disaster response system /// Configuration for the disaster response system
@@ -417,6 +440,10 @@ pub mod prelude {
LocalizationService, LocalizationService,
// Alerting // Alerting
AlertDispatcher, AlertDispatcher,
// ML types
MlDetectionConfig, MlDetectionPipeline, MlDetectionResult,
DebrisModel, MaterialType, DebrisClassification,
VitalSignsClassifier, UncertaintyEstimate,
}; };
} }

765
rust-port/wifi-densepose-rs/crates/wifi-densepose-mat/src/ml/debris_model.rs Normal file
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@@ -0,0 +1,765 @@
//! ONNX-based debris penetration model for material classification and depth prediction.
//!
//! This module provides neural network models for analyzing debris characteristics
//! from WiFi CSI signals. Key capabilities include:
//!
//! - Material type classification (concrete, wood, metal, etc.)
//! - Signal attenuation prediction based on material properties
//! - Penetration depth estimation with uncertainty quantification
//!
//! ## Model Architecture
//!
//! The debris model uses a multi-head architecture:
//! - Shared feature encoder (CNN-based)
//! - Material classification head (softmax output)
//! - Attenuation regression head (linear output)
//! - Depth estimation head with uncertainty (mean + variance output)
use super::{DebrisFeatures, DepthEstimate, MlError, MlResult};
use ndarray::{Array1, Array2, Array4, s};
use std::collections::HashMap;
use std::path::Path;
use std::sync::Arc;
use parking_lot::RwLock;
use thiserror::Error;
use tracing::{debug, info, instrument, warn};
#[cfg(feature = "onnx")]
use wifi_densepose_nn::{OnnxBackend, OnnxSession, InferenceOptions, Tensor, TensorShape};
/// Errors specific to debris model operations
#[derive(Debug, Error)]
pub enum DebrisModelError {
/// Model file not found
#[error("Model file not found: {0}")]
FileNotFound(String),
/// Invalid model format
#[error("Invalid model format: {0}")]
InvalidFormat(String),
/// Inference error
#[error("Inference failed: {0}")]
InferenceFailed(String),
/// Feature extraction error
#[error("Feature extraction failed: {0}")]
FeatureExtractionFailed(String),
}
/// Types of materials that can be detected in debris
#[derive(Debug, Clone, Copy, PartialEq, Eq, Hash)]
pub enum MaterialType {
/// Reinforced concrete (high attenuation)
Concrete,
/// Wood/timber (moderate attenuation)
Wood,
/// Metal/steel (very high attenuation, reflective)
Metal,
/// Glass (low attenuation)
Glass,
/// Brick/masonry (high attenuation)
Brick,
/// Drywall/plasterboard (low attenuation)
Drywall,
/// Mixed/composite materials
Mixed,
/// Unknown material type
Unknown,
}
impl MaterialType {
/// Get typical attenuation coefficient (dB/m)
pub fn typical_attenuation(&self) -> f32 {
match self {
MaterialType::Concrete => 25.0,
MaterialType::Wood => 8.0,
MaterialType::Metal => 50.0,
MaterialType::Glass => 3.0,
MaterialType::Brick => 18.0,
MaterialType::Drywall => 4.0,
MaterialType::Mixed => 15.0,
MaterialType::Unknown => 12.0,
}
}
/// Get typical delay spread (nanoseconds)
pub fn typical_delay_spread(&self) -> f32 {
match self {
MaterialType::Concrete => 150.0,
MaterialType::Wood => 50.0,
MaterialType::Metal => 200.0,
MaterialType::Glass => 20.0,
MaterialType::Brick => 100.0,
MaterialType::Drywall => 30.0,
MaterialType::Mixed => 80.0,
MaterialType::Unknown => 60.0,
}
}
/// From class index
pub fn from_index(index: usize) -> Self {
match index {
0 => MaterialType::Concrete,
1 => MaterialType::Wood,
2 => MaterialType::Metal,
3 => MaterialType::Glass,
4 => MaterialType::Brick,
5 => MaterialType::Drywall,
6 => MaterialType::Mixed,
_ => MaterialType::Unknown,
}
}
/// To class index
pub fn to_index(&self) -> usize {
match self {
MaterialType::Concrete => 0,
MaterialType::Wood => 1,
MaterialType::Metal => 2,
MaterialType::Glass => 3,
MaterialType::Brick => 4,
MaterialType::Drywall => 5,
MaterialType::Mixed => 6,
MaterialType::Unknown => 7,
}
}
/// Number of material classes
pub const NUM_CLASSES: usize = 8;
}
impl std::fmt::Display for MaterialType {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
match self {
MaterialType::Concrete => write!(f, "Concrete"),
MaterialType::Wood => write!(f, "Wood"),
MaterialType::Metal => write!(f, "Metal"),
MaterialType::Glass => write!(f, "Glass"),
MaterialType::Brick => write!(f, "Brick"),
MaterialType::Drywall => write!(f, "Drywall"),
MaterialType::Mixed => write!(f, "Mixed"),
MaterialType::Unknown => write!(f, "Unknown"),
}
}
}
/// Result of debris material classification
#[derive(Debug, Clone)]
pub struct DebrisClassification {
/// Primary material type detected
pub material_type: MaterialType,
/// Confidence score for the classification (0.0-1.0)
pub confidence: f32,
/// Per-class probabilities
pub class_probabilities: Vec<f32>,
/// Estimated layer count
pub estimated_layers: u8,
/// Whether multiple materials detected
pub is_composite: bool,
}
impl DebrisClassification {
/// Create a new debris classification
pub fn new(probabilities: Vec<f32>) -> Self {
let (max_idx, &max_prob) = probabilities.iter()
.enumerate()
.max_by(|(_, a), (_, b)| a.partial_cmp(b).unwrap())
.unwrap_or((7, &0.0));
// Check for composite materials (multiple high probabilities)
let high_prob_count = probabilities.iter()
.filter(|&&p| p > 0.2)
.count();
let is_composite = high_prob_count > 1 && max_prob < 0.7;
let material_type = if is_composite {
MaterialType::Mixed
} else {
MaterialType::from_index(max_idx)
};
// Estimate layer count from delay spread characteristics
let estimated_layers = Self::estimate_layers(&probabilities);
Self {
material_type,
confidence: max_prob,
class_probabilities: probabilities,
estimated_layers,
is_composite,
}
}
/// Estimate number of debris layers from probability distribution
fn estimate_layers(probabilities: &[f32]) -> u8 {
// More uniform distribution suggests more layers
let entropy: f32 = probabilities.iter()
.filter(|&&p| p > 0.01)
.map(|&p| -p * p.ln())
.sum();
let max_entropy = (probabilities.len() as f32).ln();
let normalized_entropy = entropy / max_entropy;
// Map entropy to layer count (1-5)
(1.0 + normalized_entropy * 4.0).round() as u8
}
/// Get secondary material if composite
pub fn secondary_material(&self) -> Option<MaterialType> {
if !self.is_composite {
return None;
}
let primary_idx = self.material_type.to_index();
self.class_probabilities.iter()
.enumerate()
.filter(|(i, _)| *i != primary_idx)
.max_by(|(_, a), (_, b)| a.partial_cmp(b).unwrap())
.map(|(i, _)| MaterialType::from_index(i))
}
}
/// Signal attenuation prediction result
#[derive(Debug, Clone)]
pub struct AttenuationPrediction {
/// Predicted attenuation in dB
pub attenuation_db: f32,
/// Attenuation per meter (dB/m)
pub attenuation_per_meter: f32,
/// Uncertainty in the prediction
pub uncertainty_db: f32,
/// Frequency-dependent attenuation profile
pub frequency_profile: Vec<f32>,
/// Confidence in the prediction
pub confidence: f32,
}
impl AttenuationPrediction {
/// Create new attenuation prediction
pub fn new(attenuation: f32, depth: f32, uncertainty: f32) -> Self {
let attenuation_per_meter = if depth > 0.0 {
attenuation / depth
} else {
0.0
};
Self {
attenuation_db: attenuation,
attenuation_per_meter,
uncertainty_db: uncertainty,
frequency_profile: vec![],
confidence: (1.0 - uncertainty / attenuation.abs().max(1.0)).max(0.0),
}
}
/// Predict signal at given depth
pub fn predict_signal_at_depth(&self, depth_m: f32) -> f32 {
-self.attenuation_per_meter * depth_m
}
}
/// Configuration for debris model
#[derive(Debug, Clone)]
pub struct DebrisModelConfig {
/// Use GPU for inference
pub use_gpu: bool,
/// Number of inference threads
pub num_threads: usize,
/// Minimum confidence threshold
pub confidence_threshold: f32,
}
impl Default for DebrisModelConfig {
fn default() -> Self {
Self {
use_gpu: false,
num_threads: 4,
confidence_threshold: 0.5,
}
}
}
/// Feature extractor for debris classification
pub struct DebrisFeatureExtractor {
/// Number of subcarriers to analyze
num_subcarriers: usize,
/// Window size for temporal analysis
window_size: usize,
/// Whether to use advanced features
use_advanced_features: bool,
}
impl Default for DebrisFeatureExtractor {
fn default() -> Self {
Self {
num_subcarriers: 64,
window_size: 100,
use_advanced_features: true,
}
}
}
impl DebrisFeatureExtractor {
/// Create new feature extractor
pub fn new(num_subcarriers: usize, window_size: usize) -> Self {
Self {
num_subcarriers,
window_size,
use_advanced_features: true,
}
}
/// Extract features from debris features for model input
pub fn extract(&self, features: &DebrisFeatures) -> MlResult<Array2<f32>> {
let feature_vector = features.to_feature_vector();
// Reshape to 2D for model input (batch_size=1, features)
let arr = Array2::from_shape_vec(
(1, feature_vector.len()),
feature_vector,
).map_err(|e| MlError::FeatureExtraction(e.to_string()))?;
Ok(arr)
}
/// Extract spatial-temporal features for CNN input
pub fn extract_spatial_temporal(&self, features: &DebrisFeatures) -> MlResult<Array4<f32>> {
let amp_len = features.amplitude_attenuation.len().min(self.num_subcarriers);
let phase_len = features.phase_shifts.len().min(self.num_subcarriers);
// Create 4D tensor: [batch, channels, height, width]
// channels: amplitude, phase
// height: subcarriers
// width: 1 (or temporal windows if available)
let mut tensor = Array4::<f32>::zeros((1, 2, self.num_subcarriers, 1));
// Fill amplitude channel
for (i, &v) in features.amplitude_attenuation.iter().take(amp_len).enumerate() {
tensor[[0, 0, i, 0]] = v;
}
// Fill phase channel
for (i, &v) in features.phase_shifts.iter().take(phase_len).enumerate() {
tensor[[0, 1, i, 0]] = v;
}
Ok(tensor)
}
}
/// ONNX-based debris penetration model
pub struct DebrisModel {
config: DebrisModelConfig,
feature_extractor: DebrisFeatureExtractor,
/// Material classification model weights (for rule-based fallback)
material_weights: MaterialClassificationWeights,
/// Whether ONNX model is loaded
model_loaded: bool,
/// Cached model session
#[cfg(feature = "onnx")]
session: Option<Arc<RwLock<OnnxSession>>>,
}
/// Pre-computed weights for rule-based material classification
struct MaterialClassificationWeights {
/// Weights for attenuation features
attenuation_weights: [f32; MaterialType::NUM_CLASSES],
/// Weights for delay spread features
delay_weights: [f32; MaterialType::NUM_CLASSES],
/// Weights for coherence bandwidth
coherence_weights: [f32; MaterialType::NUM_CLASSES],
/// Bias terms
biases: [f32; MaterialType::NUM_CLASSES],
}
impl Default for MaterialClassificationWeights {
fn default() -> Self {
// Pre-computed weights based on material RF properties
Self {
attenuation_weights: [0.8, 0.3, 0.95, 0.1, 0.6, 0.15, 0.5, 0.4],
delay_weights: [0.7, 0.2, 0.9, 0.1, 0.5, 0.1, 0.4, 0.3],
coherence_weights: [0.3, 0.7, 0.1, 0.9, 0.4, 0.8, 0.5, 0.5],
biases: [-0.5, 0.2, -0.8, 0.5, -0.3, 0.3, 0.0, 0.0],
}
}
}
impl DebrisModel {
/// Create a new debris model from ONNX file
#[instrument(skip(path))]
pub fn from_onnx<P: AsRef<Path>>(path: P, config: DebrisModelConfig) -> MlResult<Self> {
let path_ref = path.as_ref();
info!(?path_ref, "Loading debris model");
#[cfg(feature = "onnx")]
let session = if path_ref.exists() {
let options = InferenceOptions {
use_gpu: config.use_gpu,
num_threads: config.num_threads,
..Default::default()
};
match OnnxSession::from_file(path_ref, &options) {
Ok(s) => {
info!("ONNX debris model loaded successfully");
Some(Arc::new(RwLock::new(s)))
}
Err(e) => {
warn!(?e, "Failed to load ONNX model, using rule-based fallback");
None
}
}
} else {
warn!(?path_ref, "Model file not found, using rule-based fallback");
None
};
#[cfg(feature = "onnx")]
let model_loaded = session.is_some();
#[cfg(not(feature = "onnx"))]
let model_loaded = false;
Ok(Self {
config,
feature_extractor: DebrisFeatureExtractor::default(),
material_weights: MaterialClassificationWeights::default(),
model_loaded,
#[cfg(feature = "onnx")]
session,
})
}
/// Create with in-memory model bytes
#[cfg(feature = "onnx")]
pub fn from_bytes(bytes: &[u8], config: DebrisModelConfig) -> MlResult<Self> {
let options = InferenceOptions {
use_gpu: config.use_gpu,
num_threads: config.num_threads,
..Default::default()
};
let session = OnnxSession::from_bytes(bytes, &options)
.map_err(|e| MlError::ModelLoad(e.to_string()))?;
Ok(Self {
config,
feature_extractor: DebrisFeatureExtractor::default(),
material_weights: MaterialClassificationWeights::default(),
model_loaded: true,
session: Some(Arc::new(RwLock::new(session))),
})
}
/// Create a rule-based model (no ONNX required)
pub fn rule_based(config: DebrisModelConfig) -> Self {
Self {
config,
feature_extractor: DebrisFeatureExtractor::default(),
material_weights: MaterialClassificationWeights::default(),
model_loaded: false,
#[cfg(feature = "onnx")]
session: None,
}
}
/// Check if ONNX model is loaded
pub fn is_loaded(&self) -> bool {
self.model_loaded
}
/// Classify material type from debris features
#[instrument(skip(self, features))]
pub async fn classify(&self, features: &DebrisFeatures) -> MlResult<DebrisClassification> {
#[cfg(feature = "onnx")]
if let Some(ref session) = self.session {
return self.classify_onnx(features, session).await;
}
// Fall back to rule-based classification
self.classify_rules(features)
}
/// ONNX-based classification
#[cfg(feature = "onnx")]
async fn classify_onnx(
&self,
features: &DebrisFeatures,
session: &Arc<RwLock<OnnxSession>>,
) -> MlResult<DebrisClassification> {
let input_features = self.feature_extractor.extract(features)?;
// Prepare input tensor
let input_array = Array4::from_shape_vec(
(1, 1, 1, input_features.len()),
input_features.iter().cloned().collect(),
).map_err(|e| MlError::Inference(e.to_string()))?;
let input_tensor = Tensor::Float4D(input_array);
let mut inputs = HashMap::new();
inputs.insert("input".to_string(), input_tensor);
// Run inference
let outputs = session.write().run(inputs)
.map_err(|e| MlError::NeuralNetwork(e))?;
// Extract classification probabilities
let probabilities = if let Some(output) = outputs.get("material_probs") {
output.to_vec()
.map_err(|e| MlError::Inference(e.to_string()))?
} else {
// Fallback to rule-based
return self.classify_rules(features);
};
// Ensure we have enough classes
let mut probs = vec![0.0f32; MaterialType::NUM_CLASSES];
for (i, &p) in probabilities.iter().take(MaterialType::NUM_CLASSES).enumerate() {
probs[i] = p;
}
// Apply softmax normalization
let max_val = probs.iter().cloned().fold(f32::NEG_INFINITY, f32::max);
let exp_sum: f32 = probs.iter().map(|&x| (x - max_val).exp()).sum();
for p in &mut probs {
*p = (*p - max_val).exp() / exp_sum;
}
Ok(DebrisClassification::new(probs))
}
/// Rule-based material classification (fallback)
fn classify_rules(&self, features: &DebrisFeatures) -> MlResult<DebrisClassification> {
let mut scores = [0.0f32; MaterialType::NUM_CLASSES];
// Normalize input features
let attenuation_score = (features.snr_db.abs() / 30.0).min(1.0);
let delay_score = (features.delay_spread / 200.0).min(1.0);
let coherence_score = (features.coherence_bandwidth / 20.0).min(1.0);
let stability_score = features.temporal_stability;
// Compute weighted scores for each material
for i in 0..MaterialType::NUM_CLASSES {
scores[i] = self.material_weights.attenuation_weights[i] * attenuation_score
+ self.material_weights.delay_weights[i] * delay_score
+ self.material_weights.coherence_weights[i] * (1.0 - coherence_score)
+ self.material_weights.biases[i]
+ 0.1 * stability_score;
}
// Apply softmax
let max_score = scores.iter().cloned().fold(f32::NEG_INFINITY, f32::max);
let exp_sum: f32 = scores.iter().map(|&s| (s - max_score).exp()).sum();
let probabilities: Vec<f32> = scores.iter()
.map(|&s| (s - max_score).exp() / exp_sum)
.collect();
Ok(DebrisClassification::new(probabilities))
}
/// Predict signal attenuation through debris
#[instrument(skip(self, features))]
pub async fn predict_attenuation(&self, features: &DebrisFeatures) -> MlResult<AttenuationPrediction> {
// Get material classification first
let classification = self.classify(features).await?;
// Base attenuation from material type
let base_attenuation = classification.material_type.typical_attenuation();
// Adjust based on measured features
let measured_factor = if features.snr_db < 0.0 {
1.0 + (features.snr_db.abs() / 30.0).min(1.0)
} else {
1.0 - (features.snr_db / 30.0).min(0.5)
};
// Layer factor
let layer_factor = 1.0 + 0.2 * (classification.estimated_layers as f32 - 1.0);
// Composite factor
let composite_factor = if classification.is_composite { 1.2 } else { 1.0 };
let total_attenuation = base_attenuation * measured_factor * layer_factor * composite_factor;
// Uncertainty estimation
let uncertainty = if classification.is_composite {
total_attenuation * 0.3 // Higher uncertainty for composite
} else {
total_attenuation * (1.0 - classification.confidence) * 0.5
};
// Estimate depth (will be refined by depth estimation)
let estimated_depth = self.estimate_depth_internal(features, total_attenuation);
Ok(AttenuationPrediction::new(total_attenuation, estimated_depth, uncertainty))
}
/// Estimate penetration depth
#[instrument(skip(self, features))]
pub async fn estimate_depth(&self, features: &DebrisFeatures) -> MlResult<DepthEstimate> {
// Get attenuation prediction
let attenuation = self.predict_attenuation(features).await?;
// Estimate depth from attenuation and material properties
let depth = self.estimate_depth_internal(features, attenuation.attenuation_db);
// Calculate uncertainty
let uncertainty = self.calculate_depth_uncertainty(
features,
depth,
attenuation.confidence,
);
let confidence = (attenuation.confidence * features.temporal_stability).min(1.0);
Ok(DepthEstimate::new(depth, uncertainty, confidence))
}
/// Internal depth estimation logic
fn estimate_depth_internal(&self, features: &DebrisFeatures, attenuation_db: f32) -> f32 {
// Use coherence bandwidth for depth estimation
// Smaller coherence bandwidth suggests more multipath = deeper penetration
let cb_depth = (20.0 - features.coherence_bandwidth) / 5.0;
// Use delay spread
let ds_depth = features.delay_spread / 100.0;
// Use attenuation (assuming typical material)
let att_depth = attenuation_db / 15.0;
// Combine estimates with weights
let depth = 0.3 * cb_depth + 0.3 * ds_depth + 0.4 * att_depth;
// Clamp to reasonable range (0.1 - 10 meters)
depth.clamp(0.1, 10.0)
}
/// Calculate uncertainty in depth estimate
fn calculate_depth_uncertainty(
&self,
features: &DebrisFeatures,
depth: f32,
confidence: f32,
) -> f32 {
// Base uncertainty proportional to depth
let base_uncertainty = depth * 0.2;
// Adjust by temporal stability (less stable = more uncertain)
let stability_factor = 1.0 + (1.0 - features.temporal_stability) * 0.5;
// Adjust by confidence (lower confidence = more uncertain)
let confidence_factor = 1.0 + (1.0 - confidence) * 0.5;
// Adjust by multipath richness (more multipath = harder to estimate)
let multipath_factor = 1.0 + features.multipath_richness * 0.3;
base_uncertainty * stability_factor * confidence_factor * multipath_factor
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::detection::CsiDataBuffer;
fn create_test_debris_features() -> DebrisFeatures {
DebrisFeatures {
amplitude_attenuation: vec![0.5; 64],
phase_shifts: vec![0.1; 64],
fading_profile: vec![0.8, 0.6, 0.4, 0.2, 0.1, 0.05, 0.02, 0.01],
coherence_bandwidth: 5.0,
delay_spread: 100.0,
snr_db: 15.0,
multipath_richness: 0.6,
temporal_stability: 0.8,
}
}
#[test]
fn test_material_type() {
assert_eq!(MaterialType::from_index(0), MaterialType::Concrete);
assert_eq!(MaterialType::Concrete.to_index(), 0);
assert!(MaterialType::Concrete.typical_attenuation() > MaterialType::Glass.typical_attenuation());
}
#[test]
fn test_debris_classification() {
let probs = vec![0.7, 0.1, 0.05, 0.05, 0.05, 0.02, 0.02, 0.01];
let classification = DebrisClassification::new(probs);
assert_eq!(classification.material_type, MaterialType::Concrete);
assert!(classification.confidence > 0.6);
assert!(!classification.is_composite);
}
#[test]
fn test_composite_detection() {
let probs = vec![0.4, 0.35, 0.1, 0.05, 0.05, 0.02, 0.02, 0.01];
let classification = DebrisClassification::new(probs);
assert!(classification.is_composite);
assert_eq!(classification.material_type, MaterialType::Mixed);
}
#[test]
fn test_attenuation_prediction() {
let pred = AttenuationPrediction::new(25.0, 2.0, 3.0);
assert_eq!(pred.attenuation_per_meter, 12.5);
assert!(pred.confidence > 0.0);
}
#[tokio::test]
async fn test_rule_based_classification() {
let config = DebrisModelConfig::default();
let model = DebrisModel::rule_based(config);
let features = create_test_debris_features();
let result = model.classify(&features).await;
assert!(result.is_ok());
let classification = result.unwrap();
assert!(classification.confidence > 0.0);
}
#[tokio::test]
async fn test_depth_estimation() {
let config = DebrisModelConfig::default();
let model = DebrisModel::rule_based(config);
let features = create_test_debris_features();
let result = model.estimate_depth(&features).await;
assert!(result.is_ok());
let estimate = result.unwrap();
assert!(estimate.depth_meters > 0.0);
assert!(estimate.depth_meters < 10.0);
assert!(estimate.uncertainty_meters > 0.0);
}
#[test]
fn test_feature_extractor() {
let extractor = DebrisFeatureExtractor::default();
let features = create_test_debris_features();
let result = extractor.extract(&features);
assert!(result.is_ok());
let arr = result.unwrap();
assert_eq!(arr.shape()[0], 1);
assert_eq!(arr.shape()[1], 256);
}
#[test]
fn test_spatial_temporal_extraction() {
let extractor = DebrisFeatureExtractor::new(64, 100);
let features = create_test_debris_features();
let result = extractor.extract_spatial_temporal(&features);
assert!(result.is_ok());
let arr = result.unwrap();
assert_eq!(arr.shape(), &[1, 2, 64, 1]);
}
}

692
rust-port/wifi-densepose-rs/crates/wifi-densepose-mat/src/ml/mod.rs Normal file
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@@ -0,0 +1,692 @@
//! Machine Learning module for debris penetration pattern recognition.
//!
//! This module provides ML-based models for:
//! - Debris material classification
//! - Penetration depth prediction
//! - Signal attenuation analysis
//! - Vital signs classification with uncertainty estimation
//!
//! ## Architecture
//!
//! The ML subsystem integrates with the `wifi-densepose-nn` crate for ONNX inference
//! and provides specialized models for disaster response scenarios.
//!
//! ```text
//! CSI Data -> Feature Extraction -> Model Inference -> Predictions
//! | | |
//! v v v
//! [Debris Features] [ONNX Models] [Classifications]
//! [Signal Features] [Neural Nets] [Confidences]
//! ```
mod debris_model;
mod vital_signs_classifier;
pub use debris_model::{
DebrisModel, DebrisModelConfig, DebrisFeatureExtractor,
MaterialType, DebrisClassification, AttenuationPrediction,
DebrisModelError,
};
pub use vital_signs_classifier::{
VitalSignsClassifier, VitalSignsClassifierConfig,
BreathingClassification, HeartbeatClassification,
UncertaintyEstimate, ClassifierOutput,
};
use crate::detection::CsiDataBuffer;
use crate::domain::{VitalSignsReading, BreathingPattern, HeartbeatSignature};
use async_trait::async_trait;
use std::path::Path;
use thiserror::Error;
/// Errors that can occur in ML operations
#[derive(Debug, Error)]
pub enum MlError {
/// Model loading error
#[error("Failed to load model: {0}")]
ModelLoad(String),
/// Inference error
#[error("Inference failed: {0}")]
Inference(String),
/// Feature extraction error
#[error("Feature extraction failed: {0}")]
FeatureExtraction(String),
/// Invalid input error
#[error("Invalid input: {0}")]
InvalidInput(String),
/// Model not initialized
#[error("Model not initialized: {0}")]
NotInitialized(String),
/// Configuration error
#[error("Configuration error: {0}")]
Config(String),
/// Integration error with wifi-densepose-nn
#[error("Neural network error: {0}")]
NeuralNetwork(#[from] wifi_densepose_nn::NnError),
}
/// Result type for ML operations
pub type MlResult<T> = Result<T, MlError>;
/// Trait for debris penetration models
///
/// This trait defines the interface for models that can predict
/// material type and signal attenuation through debris layers.
#[async_trait]
pub trait DebrisPenetrationModel: Send + Sync {
/// Classify the material type from CSI features
async fn classify_material(&self, features: &DebrisFeatures) -> MlResult<MaterialType>;
/// Predict signal attenuation through debris
async fn predict_attenuation(&self, features: &DebrisFeatures) -> MlResult<AttenuationPrediction>;
/// Estimate penetration depth in meters
async fn estimate_depth(&self, features: &DebrisFeatures) -> MlResult<DepthEstimate>;
/// Get model confidence for the predictions
fn model_confidence(&self) -> f32;
/// Check if the model is loaded and ready
fn is_ready(&self) -> bool;
}
/// Features extracted from CSI data for debris analysis
#[derive(Debug, Clone)]
pub struct DebrisFeatures {
/// Amplitude attenuation across subcarriers
pub amplitude_attenuation: Vec<f32>,
/// Phase shift patterns
pub phase_shifts: Vec<f32>,
/// Frequency-selective fading characteristics
pub fading_profile: Vec<f32>,
/// Coherence bandwidth estimate
pub coherence_bandwidth: f32,
/// RMS delay spread
pub delay_spread: f32,
/// Signal-to-noise ratio estimate
pub snr_db: f32,
/// Multipath richness indicator
pub multipath_richness: f32,
/// Temporal stability metric
pub temporal_stability: f32,
}
impl DebrisFeatures {
/// Create new debris features from raw CSI data
pub fn from_csi(buffer: &CsiDataBuffer) -> MlResult<Self> {
if buffer.amplitudes.is_empty() {
return Err(MlError::FeatureExtraction("Empty CSI buffer".into()));
}
// Calculate amplitude attenuation
let amplitude_attenuation = Self::compute_amplitude_features(&buffer.amplitudes);
// Calculate phase shifts
let phase_shifts = Self::compute_phase_features(&buffer.phases);
// Compute fading profile
let fading_profile = Self::compute_fading_profile(&buffer.amplitudes);
// Estimate coherence bandwidth from frequency correlation
let coherence_bandwidth = Self::estimate_coherence_bandwidth(&buffer.amplitudes);
// Estimate delay spread
let delay_spread = Self::estimate_delay_spread(&buffer.amplitudes);
// Estimate SNR
let snr_db = Self::estimate_snr(&buffer.amplitudes);
// Multipath richness
let multipath_richness = Self::compute_multipath_richness(&buffer.amplitudes);
// Temporal stability
let temporal_stability = Self::compute_temporal_stability(&buffer.amplitudes);
Ok(Self {
amplitude_attenuation,
phase_shifts,
fading_profile,
coherence_bandwidth,
delay_spread,
snr_db,
multipath_richness,
temporal_stability,
})
}
/// Compute amplitude features
fn compute_amplitude_features(amplitudes: &[f64]) -> Vec<f32> {
if amplitudes.is_empty() {
return vec![];
}
let mean = amplitudes.iter().sum::<f64>() / amplitudes.len() as f64;
let variance = amplitudes.iter()
.map(|a| (a - mean).powi(2))
.sum::<f64>() / amplitudes.len() as f64;
let std_dev = variance.sqrt();
// Normalize amplitudes
amplitudes.iter()
.map(|a| ((a - mean) / (std_dev + 1e-8)) as f32)
.collect()
}
/// Compute phase features
fn compute_phase_features(phases: &[f64]) -> Vec<f32> {
if phases.len() < 2 {
return vec![];
}
// Compute phase differences (unwrapped)
phases.windows(2)
.map(|w| {
let diff = w[1] - w[0];
// Unwrap phase
let unwrapped = if diff > std::f64::consts::PI {
diff - 2.0 * std::f64::consts::PI
} else if diff < -std::f64::consts::PI {
diff + 2.0 * std::f64::consts::PI
} else {
diff
};
unwrapped as f32
})
.collect()
}
/// Compute fading profile (power spectral characteristics)
fn compute_fading_profile(amplitudes: &[f64]) -> Vec<f32> {
use rustfft::{FftPlanner, num_complex::Complex};
if amplitudes.len() < 16 {
return vec![0.0; 8];
}
// Take a subset for FFT
let n = 64.min(amplitudes.len());
let mut buffer: Vec<Complex<f64>> = amplitudes.iter()
.take(n)
.map(|&a| Complex::new(a, 0.0))
.collect();
// Pad to power of 2
while buffer.len() < 64 {
buffer.push(Complex::new(0.0, 0.0));
}
// Compute FFT
let mut planner = FftPlanner::new();
let fft = planner.plan_fft_forward(64);
fft.process(&mut buffer);
// Extract power spectrum (first half)
buffer.iter()
.take(8)
.map(|c| (c.norm() / n as f64) as f32)
.collect()
}
/// Estimate coherence bandwidth from frequency correlation
fn estimate_coherence_bandwidth(amplitudes: &[f64]) -> f32 {
if amplitudes.len() < 10 {
return 0.0;
}
// Compute autocorrelation
let n = amplitudes.len();
let mean = amplitudes.iter().sum::<f64>() / n as f64;
let variance: f64 = amplitudes.iter()
.map(|a| (a - mean).powi(2))
.sum::<f64>() / n as f64;
if variance < 1e-10 {
return 0.0;
}
// Find lag where correlation drops below 0.5
let mut coherence_lag = n;
for lag in 1..n / 2 {
let correlation: f64 = amplitudes.iter()
.take(n - lag)
.zip(amplitudes.iter().skip(lag))
.map(|(a, b)| (a - mean) * (b - mean))
.sum::<f64>() / ((n - lag) as f64 * variance);
if correlation < 0.5 {
coherence_lag = lag;
break;
}
}
// Convert to bandwidth estimate (assuming 20 MHz channel)
(20.0 / coherence_lag as f32).min(20.0)
}
/// Estimate RMS delay spread
fn estimate_delay_spread(amplitudes: &[f64]) -> f32 {
if amplitudes.len() < 10 {
return 0.0;
}
// Use power delay profile approximation
let power: Vec<f64> = amplitudes.iter().map(|a| a.powi(2)).collect();
let total_power: f64 = power.iter().sum();
if total_power < 1e-10 {
return 0.0;
}
// Calculate mean delay
let mean_delay: f64 = power.iter()
.enumerate()
.map(|(i, p)| i as f64 * p)
.sum::<f64>() / total_power;
// Calculate RMS delay spread
let variance: f64 = power.iter()
.enumerate()
.map(|(i, p)| (i as f64 - mean_delay).powi(2) * p)
.sum::<f64>() / total_power;
// Convert to nanoseconds (assuming sample period)
(variance.sqrt() * 50.0) as f32 // 50 ns per sample assumed
}
/// Estimate SNR from amplitude variance
fn estimate_snr(amplitudes: &[f64]) -> f32 {
if amplitudes.is_empty() {
return 0.0;
}
let mean = amplitudes.iter().sum::<f64>() / amplitudes.len() as f64;
let variance = amplitudes.iter()
.map(|a| (a - mean).powi(2))
.sum::<f64>() / amplitudes.len() as f64;
if variance < 1e-10 {
return 30.0; // High SNR assumed
}
// SNR estimate based on signal power to noise power ratio
let signal_power = mean.powi(2);
let snr_linear = signal_power / variance;
(10.0 * snr_linear.log10()) as f32
}
/// Compute multipath richness indicator
fn compute_multipath_richness(amplitudes: &[f64]) -> f32 {
if amplitudes.len() < 10 {
return 0.0;
}
// Calculate amplitude variance as multipath indicator
let mean = amplitudes.iter().sum::<f64>() / amplitudes.len() as f64;
let variance = amplitudes.iter()
.map(|a| (a - mean).powi(2))
.sum::<f64>() / amplitudes.len() as f64;
// Normalize to 0-1 range
let std_dev = variance.sqrt();
let normalized = std_dev / (mean.abs() + 1e-8);
(normalized.min(1.0)) as f32
}
/// Compute temporal stability metric
fn compute_temporal_stability(amplitudes: &[f64]) -> f32 {
if amplitudes.len() < 2 {
return 1.0;
}
// Calculate coefficient of variation over time
let differences: Vec<f64> = amplitudes.windows(2)
.map(|w| (w[1] - w[0]).abs())
.collect();
let mean_diff = differences.iter().sum::<f64>() / differences.len() as f64;
let mean_amp = amplitudes.iter().sum::<f64>() / amplitudes.len() as f64;
// Stability is inverse of relative variation
let variation = mean_diff / (mean_amp.abs() + 1e-8);
(1.0 - variation.min(1.0)) as f32
}
/// Convert to feature vector for model input
pub fn to_feature_vector(&self) -> Vec<f32> {
let mut features = Vec::with_capacity(256);
// Add amplitude attenuation features (padded/truncated to 64)
let amp_len = self.amplitude_attenuation.len().min(64);
features.extend_from_slice(&self.amplitude_attenuation[..amp_len]);
features.resize(64, 0.0);
// Add phase shift features (padded/truncated to 64)
let phase_len = self.phase_shifts.len().min(64);
features.extend_from_slice(&self.phase_shifts[..phase_len]);
features.resize(128, 0.0);
// Add fading profile (padded to 16)
let fading_len = self.fading_profile.len().min(16);
features.extend_from_slice(&self.fading_profile[..fading_len]);
features.resize(144, 0.0);
// Add scalar features
features.push(self.coherence_bandwidth);
features.push(self.delay_spread);
features.push(self.snr_db);
features.push(self.multipath_richness);
features.push(self.temporal_stability);
// Pad to 256 for model input
features.resize(256, 0.0);
features
}
}
/// Depth estimate with uncertainty
#[derive(Debug, Clone)]
pub struct DepthEstimate {
/// Estimated depth in meters
pub depth_meters: f32,
/// Uncertainty (standard deviation) in meters
pub uncertainty_meters: f32,
/// Confidence in the estimate (0.0-1.0)
pub confidence: f32,
/// Lower bound of 95% confidence interval
pub lower_bound: f32,
/// Upper bound of 95% confidence interval
pub upper_bound: f32,
}
impl DepthEstimate {
/// Create a new depth estimate with uncertainty
pub fn new(depth: f32, uncertainty: f32, confidence: f32) -> Self {
Self {
depth_meters: depth,
uncertainty_meters: uncertainty,
confidence,
lower_bound: (depth - 1.96 * uncertainty).max(0.0),
upper_bound: depth + 1.96 * uncertainty,
}
}
/// Check if the estimate is reliable (high confidence, low uncertainty)
pub fn is_reliable(&self) -> bool {
self.confidence > 0.7 && self.uncertainty_meters < self.depth_meters * 0.3
}
}
/// Configuration for the ML-enhanced detection pipeline
#[derive(Debug, Clone, PartialEq)]
pub struct MlDetectionConfig {
/// Enable ML-based debris classification
pub enable_debris_classification: bool,
/// Enable ML-based vital signs classification
pub enable_vital_classification: bool,
/// Path to debris model file
pub debris_model_path: Option<String>,
/// Path to vital signs model file
pub vital_model_path: Option<String>,
/// Minimum confidence threshold for ML predictions
pub min_confidence: f32,
/// Use GPU for inference
pub use_gpu: bool,
/// Number of inference threads
pub num_threads: usize,
}
impl Default for MlDetectionConfig {
fn default() -> Self {
Self {
enable_debris_classification: false,
enable_vital_classification: false,
debris_model_path: None,
vital_model_path: None,
min_confidence: 0.5,
use_gpu: false,
num_threads: 4,
}
}
}
impl MlDetectionConfig {
/// Create configuration for CPU inference
pub fn cpu() -> Self {
Self::default()
}
/// Create configuration for GPU inference
pub fn gpu() -> Self {
Self {
use_gpu: true,
..Default::default()
}
}
/// Enable debris classification with model path
pub fn with_debris_model<P: Into<String>>(mut self, path: P) -> Self {
self.debris_model_path = Some(path.into());
self.enable_debris_classification = true;
self
}
/// Enable vital signs classification with model path
pub fn with_vital_model<P: Into<String>>(mut self, path: P) -> Self {
self.vital_model_path = Some(path.into());
self.enable_vital_classification = true;
self
}
/// Set minimum confidence threshold
pub fn with_min_confidence(mut self, confidence: f32) -> Self {
self.min_confidence = confidence.clamp(0.0, 1.0);
self
}
}
/// ML-enhanced detection pipeline that combines traditional and ML-based detection
pub struct MlDetectionPipeline {
config: MlDetectionConfig,
debris_model: Option<DebrisModel>,
vital_classifier: Option<VitalSignsClassifier>,
}
impl MlDetectionPipeline {
/// Create a new ML detection pipeline
pub fn new(config: MlDetectionConfig) -> Self {
Self {
config,
debris_model: None,
vital_classifier: None,
}
}
/// Initialize models asynchronously
pub async fn initialize(&mut self) -> MlResult<()> {
if self.config.enable_debris_classification {
if let Some(ref path) = self.config.debris_model_path {
let debris_config = DebrisModelConfig {
use_gpu: self.config.use_gpu,
num_threads: self.config.num_threads,
confidence_threshold: self.config.min_confidence,
};
self.debris_model = Some(DebrisModel::from_onnx(path, debris_config)?);
}
}
if self.config.enable_vital_classification {
if let Some(ref path) = self.config.vital_model_path {
let vital_config = VitalSignsClassifierConfig {
use_gpu: self.config.use_gpu,
num_threads: self.config.num_threads,
min_confidence: self.config.min_confidence,
enable_uncertainty: true,
mc_samples: 10,
dropout_rate: 0.1,
};
self.vital_classifier = Some(VitalSignsClassifier::from_onnx(path, vital_config)?);
}
}
Ok(())
}
/// Process CSI data and return enhanced detection results
pub async fn process(&self, buffer: &CsiDataBuffer) -> MlResult<MlDetectionResult> {
let mut result = MlDetectionResult::default();
// Extract debris features and classify if enabled
if let Some(ref model) = self.debris_model {
let features = DebrisFeatures::from_csi(buffer)?;
result.debris_classification = Some(model.classify(&features).await?);
result.depth_estimate = Some(model.estimate_depth(&features).await?);
}
// Classify vital signs if enabled
if let Some(ref classifier) = self.vital_classifier {
let features = classifier.extract_features(buffer)?;
result.vital_classification = Some(classifier.classify(&features).await?);
}
Ok(result)
}
/// Check if the pipeline is ready for inference
pub fn is_ready(&self) -> bool {
let debris_ready = !self.config.enable_debris_classification
|| self.debris_model.as_ref().map_or(false, |m| m.is_loaded());
let vital_ready = !self.config.enable_vital_classification
|| self.vital_classifier.as_ref().map_or(false, |c| c.is_loaded());
debris_ready && vital_ready
}
/// Get configuration
pub fn config(&self) -> &MlDetectionConfig {
&self.config
}
}
/// Combined ML detection results
#[derive(Debug, Clone, Default)]
pub struct MlDetectionResult {
/// Debris classification result
pub debris_classification: Option<DebrisClassification>,
/// Depth estimate
pub depth_estimate: Option<DepthEstimate>,
/// Vital signs classification
pub vital_classification: Option<ClassifierOutput>,
}
impl MlDetectionResult {
/// Check if any ML detection was performed
pub fn has_results(&self) -> bool {
self.debris_classification.is_some()
|| self.depth_estimate.is_some()
|| self.vital_classification.is_some()
}
/// Get overall confidence
pub fn overall_confidence(&self) -> f32 {
let mut total = 0.0;
let mut count = 0;
if let Some(ref debris) = self.debris_classification {
total += debris.confidence;
count += 1;
}
if let Some(ref depth) = self.depth_estimate {
total += depth.confidence;
count += 1;
}
if let Some(ref vital) = self.vital_classification {
total += vital.overall_confidence;
count += 1;
}
if count > 0 {
total / count as f32
} else {
0.0
}
}
}
#[cfg(test)]
mod tests {
use super::*;
fn create_test_buffer() -> CsiDataBuffer {
let mut buffer = CsiDataBuffer::new(1000.0);
let amplitudes: Vec<f64> = (0..1000)
.map(|i| {
let t = i as f64 / 1000.0;
0.5 + 0.1 * (2.0 * std::f64::consts::PI * 0.25 * t).sin()
})
.collect();
let phases: Vec<f64> = (0..1000)
.map(|i| {
let t = i as f64 / 1000.0;
(2.0 * std::f64::consts::PI * 0.25 * t).sin() * 0.3
})
.collect();
buffer.add_samples(&amplitudes, &phases);
buffer
}
#[test]
fn test_debris_features_extraction() {
let buffer = create_test_buffer();
let features = DebrisFeatures::from_csi(&buffer);
assert!(features.is_ok());
let features = features.unwrap();
assert!(!features.amplitude_attenuation.is_empty());
assert!(!features.phase_shifts.is_empty());
assert!(features.coherence_bandwidth >= 0.0);
assert!(features.delay_spread >= 0.0);
assert!(features.temporal_stability >= 0.0);
}
#[test]
fn test_feature_vector_size() {
let buffer = create_test_buffer();
let features = DebrisFeatures::from_csi(&buffer).unwrap();
let vector = features.to_feature_vector();
assert_eq!(vector.len(), 256);
}
#[test]
fn test_depth_estimate() {
let estimate = DepthEstimate::new(2.5, 0.3, 0.85);
assert!(estimate.is_reliable());
assert!(estimate.lower_bound < estimate.depth_meters);
assert!(estimate.upper_bound > estimate.depth_meters);
}
#[test]
fn test_ml_config_builder() {
let config = MlDetectionConfig::cpu()
.with_debris_model("models/debris.onnx")
.with_vital_model("models/vitals.onnx")
.with_min_confidence(0.7);
assert!(config.enable_debris_classification);
assert!(config.enable_vital_classification);
assert_eq!(config.min_confidence, 0.7);
assert!(!config.use_gpu);
}
}

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rust-port/wifi-densepose-rs/crates/wifi-densepose-mat/src/ml/vital_signs_classifier.rs Normal file
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56
rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm/Cargo.toml
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@@ -3,5 +3,61 @@ name = "wifi-densepose-wasm"
version.workspace = true version.workspace = true
edition.workspace = true edition.workspace = true
description = "WebAssembly bindings for WiFi-DensePose" description = "WebAssembly bindings for WiFi-DensePose"
license = "MIT OR Apache-2.0"
repository = "https://github.com/ruvnet/wifi-densepose"
[lib]
crate-type = ["cdylib", "rlib"]
[features]
default = ["console_error_panic_hook"]
mat = ["wifi-densepose-mat"]
[dependencies] [dependencies]
# WASM bindings
wasm-bindgen = "0.2"
wasm-bindgen-futures = "0.4"
js-sys = "0.3"
web-sys = { version = "0.3", features = [
"console",
"Window",
"Document",
"Element",
"HtmlCanvasElement",
"CanvasRenderingContext2d",
"WebSocket",
"MessageEvent",
"ErrorEvent",
"CloseEvent",
"BinaryType",
"Performance",
] }
# Error handling and logging
console_error_panic_hook = { version = "0.1", optional = true }
wasm-logger = "0.2"
log = "0.4"
# Serialization for JS interop
serde = { version = "1.0", features = ["derive"] }
serde_json = "1.0"
serde-wasm-bindgen = "0.6"
# Async runtime for WASM
futures = "0.3"
# Time handling
chrono = { version = "0.4", features = ["serde", "wasmbind"] }
# UUID generation (with JS random support)
uuid = { version = "1.6", features = ["v4", "serde", "js"] }
getrandom = { version = "0.2", features = ["js"] }
# Optional: wifi-densepose-mat integration
wifi-densepose-mat = { path = "../wifi-densepose-mat", optional = true, features = ["serde"] }
[dev-dependencies]
wasm-bindgen-test = "0.3"
[package.metadata.wasm-pack.profile.release]
wasm-opt = ["-O4", "--enable-mutable-globals"]

133
rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm/src/lib.rs
View File

@@ -1 +1,132 @@
//! WiFi-DensePose WebAssembly bindings (stub) //! WiFi-DensePose WebAssembly bindings
//!
//! This crate provides WebAssembly bindings for browser-based applications using
//! WiFi-DensePose technology. It includes:
//!
//! - **mat**: WiFi-Mat disaster response dashboard module for browser integration
//!
//! # Features
//!
//! - `mat` - Enable WiFi-Mat disaster detection WASM bindings
//! - `console_error_panic_hook` - Better panic messages in browser console
//!
//! # Building for WASM
//!
//! ```bash
//! # Build with wasm-pack
//! wasm-pack build --target web --features mat
//!
//! # Or with cargo
//! cargo build --target wasm32-unknown-unknown --features mat
//! ```
//!
//! # Example Usage (JavaScript)
//!
//! ```javascript
//! import init, { MatDashboard, initLogging } from './wifi_densepose_wasm.js';
//!
//! async function main() {
//! await init();
//! initLogging('info');
//!
//! const dashboard = new MatDashboard();
//!
//! // Create a disaster event
//! const eventId = dashboard.createEvent('earthquake', 37.7749, -122.4194, 'Bay Area Earthquake');
//!
//! // Add scan zones
//! dashboard.addRectangleZone('Building A', 50, 50, 200, 150);
//! dashboard.addCircleZone('Search Area B', 400, 200, 80);
//!
//! // Subscribe to events
//! dashboard.onSurvivorDetected((survivor) => {
//! console.log('Survivor detected:', survivor);
//! updateUI(survivor);
//! });
//!
//! dashboard.onAlertGenerated((alert) => {
//! showNotification(alert);
//! });
//!
//! // Render to canvas
//! const canvas = document.getElementById('map');
//! const ctx = canvas.getContext('2d');
//!
//! function render() {
//! ctx.clearRect(0, 0, canvas.width, canvas.height);
//! dashboard.renderZones(ctx);
//! dashboard.renderSurvivors(ctx);
//! requestAnimationFrame(render);
//! }
//! render();
//! }
//!
//! main();
//! ```
use wasm_bindgen::prelude::*;
// WiFi-Mat module for disaster response dashboard
pub mod mat;
pub use mat::*;
/// Initialize the WASM module.
/// Call this once at startup before using any other functions.
#[wasm_bindgen(start)]
pub fn init() {
// Set panic hook for better error messages in browser console
#[cfg(feature = "console_error_panic_hook")]
console_error_panic_hook::set_once();
}
/// Initialize logging with specified level.
///
/// @param {string} level - Log level: "trace", "debug", "info", "warn", "error"
#[wasm_bindgen(js_name = initLogging)]
pub fn init_logging(level: &str) {
let log_level = match level.to_lowercase().as_str() {
"trace" => log::Level::Trace,
"debug" => log::Level::Debug,
"info" => log::Level::Info,
"warn" => log::Level::Warn,
"error" => log::Level::Error,
_ => log::Level::Info,
};
let _ = wasm_logger::init(wasm_logger::Config::new(log_level));
log::info!("WiFi-DensePose WASM initialized with log level: {}", level);
}
/// Get the library version.
///
/// @returns {string} Version string
#[wasm_bindgen(js_name = getVersion)]
pub fn get_version() -> String {
env!("CARGO_PKG_VERSION").to_string()
}
/// Check if the MAT feature is enabled.
///
/// @returns {boolean} True if MAT module is available
#[wasm_bindgen(js_name = isMatEnabled)]
pub fn is_mat_enabled() -> bool {
true
}
/// Get current timestamp in milliseconds (for performance measurements).
///
/// @returns {number} Timestamp in milliseconds
#[wasm_bindgen(js_name = getTimestamp)]
pub fn get_timestamp() -> f64 {
let window = web_sys::window().expect("no global window");
let performance = window.performance().expect("no performance object");
performance.now()
}
// Re-export all public types from mat module for easy access
pub mod types {
pub use super::mat::{
JsAlert, JsAlertPriority, JsDashboardStats, JsDisasterType, JsScanZone, JsSurvivor,
JsTriageStatus, JsZoneStatus,
};
}

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