fix: restore WSL release build for sensing server (#389)

fix: restore successful WSL release build for rust sensing server

docs/user-guide.md

@@ -103,6 +103,20 @@ Example: `docker run -e CSI_SOURCE=esp32 -p 3000:3000 -p 5005:5005/udp ruvnet/wi
 
 ### From Source (Rust)
 
+On Debian/Ubuntu-based Linux systems, install the native desktop prerequisites before the first Rust release build:
+
+```bash
+sudo apt update
+sudo apt install -y \
+  build-essential pkg-config \
+  libglib2.0-dev libgtk-3-dev \
+  libsoup-3.0-dev \
+  libjavascriptcoregtk-4.1-dev \
+  libwebkit2gtk-4.1-dev
+```
+
+This prepares the native GTK/WebKit dependencies used by the desktop/Tauri crates in this workspace.
+
 ```bash
 git clone https://github.com/ruvnet/RuView.git
 cd RuView/rust-port/wifi-densepose-rs
@@ -1686,6 +1700,28 @@ rustup update stable
 rustc --version
 ```
 
+### Build: Linux native desktop prerequisites
+
+If you are compiling the Rust workspace on a Debian/Ubuntu-based Linux system, install the native desktop development packages first:
+
+```bash
+sudo apt update
+sudo apt install -y \
+  build-essential pkg-config \
+  libglib2.0-dev libgtk-3-dev \
+  libsoup-3.0-dev \
+  libjavascriptcoregtk-4.1-dev \
+  libwebkit2gtk-4.1-dev
+```
+
+Then rerun:
+
+```bash
+cargo build --release
+```
+
+This is the same Linux pre-step referenced in the Rust source build section and covers the common GTK/WebKit `pkg-config` requirements used by the desktop build.
+
 ### Windows: RSSI mode shows no data
 
 Run the terminal as Administrator (required for `netsh wlan` access). Verified working on Windows 10 and 11 with Intel AX201 and Intel BE201 adapters.

rust-port/wifi-densepose-rs/crates/wifi-densepose-sensing-server/Cargo.toml

@@ -25,6 +25,7 @@ axum = { workspace = true }
 tower-http = { version = "0.5", features = ["fs", "cors", "set-header"] }
 tokio = { workspace = true, features = ["full", "process"] }
 futures-util = "0.3"
+ruvector-mincut = { workspace = true }
 
 # Serialization
 serde = { workspace = true }

rust-port/wifi-densepose-rs/crates/wifi-densepose-sensing-server/src/lib.rs

@@ -8,8 +8,10 @@ pub mod vital_signs;
 pub mod rvf_container;
 pub mod rvf_pipeline;
 pub mod graph_transformer;
+#[allow(dead_code)]
 pub mod trainer;
 pub mod dataset;
 pub mod sona;
 pub mod sparse_inference;
+#[allow(dead_code)]
 pub mod embedding;

rust-port/wifi-densepose-rs/crates/wifi-densepose-sensing-server/src/main.rs

@@ -7,6 +7,7 @@
 //! - Serves the static UI files (port 8080)
 //!
 //! Replaces both ws_server.py and the Python HTTP server.
+#![allow(dead_code)]
 
 mod adaptive_classifier;
 pub mod cli;
@@ -1658,9 +1659,11 @@ async fn windows_wifi_task(state: SharedState, tick_ms: u64) {
 
         // Populate persons from the sensing update (Kalman-smoothed via tracker).
         let raw_persons = derive_pose_from_sensing(&update);
+        let mut last_tracker_instant = s.last_tracker_instant.take();
         let tracked = tracker_bridge::tracker_update(
-            &mut s.pose_tracker, &mut s.last_tracker_instant, raw_persons,
+            &mut s.pose_tracker, &mut last_tracker_instant, raw_persons,
         );
+        s.last_tracker_instant = last_tracker_instant;
         if !tracked.is_empty() {
             update.persons = Some(tracked);
         }
@@ -1794,9 +1797,11 @@ async fn windows_wifi_fallback_tick(state: &SharedState, seq: u32) {
     };
 
     let raw_persons = derive_pose_from_sensing(&update);
+    let mut last_tracker_instant = s.last_tracker_instant.take();
     let tracked = tracker_bridge::tracker_update(
-        &mut s.pose_tracker, &mut s.last_tracker_instant, raw_persons,
+        &mut s.pose_tracker, &mut last_tracker_instant, raw_persons,
     );
+    s.last_tracker_instant = last_tracker_instant;
     if !tracked.is_empty() {
         update.persons = Some(tracked);
     }
@@ -3224,7 +3229,7 @@ async fn adaptive_status(State(state): State<SharedState>) -> Json<serde_json::V
             "trained_frames": model.trained_frames,
             "accuracy": model.training_accuracy,
             "version": model.version,
-            "classes": adaptive_classifier::CLASSES,
+            "classes": model.class_names,
             "class_stats": model.class_stats,
         })),
         None => Json(serde_json::json!({
@@ -3610,9 +3615,9 @@ async fn udp_receiver_task(state: SharedState, udp_port: u16) {
                     };
 
                     // Feed field model calibration if active (use per-node history for ESP32).
-                    if let Some(ref mut fm) = s.field_model {
-                        if let Some(ns) = s.node_states.get(&node_id) {
-                            field_bridge::maybe_feed_calibration(fm, &ns.frame_history);
+                    if let Some(frame_history) = s.node_states.get(&node_id).map(|ns| ns.frame_history.clone()) {
+                        if let Some(ref mut fm) = s.field_model {
+                            field_bridge::maybe_feed_calibration(fm, &frame_history);
                         }
                     }
 
@@ -3695,9 +3700,11 @@ async fn udp_receiver_task(state: SharedState, udp_port: u16) {
                     };
 
                     let raw_persons = derive_pose_from_sensing(&update);
+                    let mut last_tracker_instant = s.last_tracker_instant.take();
                     let tracked = tracker_bridge::tracker_update(
-                        &mut s.pose_tracker, &mut s.last_tracker_instant, raw_persons,
+                        &mut s.pose_tracker, &mut last_tracker_instant, raw_persons,
                     );
+                    s.last_tracker_instant = last_tracker_instant;
                     if !tracked.is_empty() {
                         update.persons = Some(tracked);
                     }
@@ -3858,9 +3865,9 @@ async fn udp_receiver_task(state: SharedState, udp_port: u16) {
                     };
 
                     // Feed field model calibration if active (use per-node history for ESP32).
-                    if let Some(ref mut fm) = s.field_model {
-                        if let Some(ns) = s.node_states.get(&node_id) {
-                            field_bridge::maybe_feed_calibration(fm, &ns.frame_history);
+                    if let Some(frame_history) = s.node_states.get(&node_id).map(|ns| ns.frame_history.clone()) {
+                        if let Some(ref mut fm) = s.field_model {
+                            field_bridge::maybe_feed_calibration(fm, &frame_history);
                         }
                     }
 
@@ -3905,9 +3912,11 @@ async fn udp_receiver_task(state: SharedState, udp_port: u16) {
                     };
 
                     let raw_persons = derive_pose_from_sensing(&update);
+                    let mut last_tracker_instant = s.last_tracker_instant.take();
                     let tracked = tracker_bridge::tracker_update(
-                        &mut s.pose_tracker, &mut s.last_tracker_instant, raw_persons,
+                        &mut s.pose_tracker, &mut last_tracker_instant, raw_persons,
                     );
+                    s.last_tracker_instant = last_tracker_instant;
                     if !tracked.is_empty() {
                         update.persons = Some(tracked);
                     }
@@ -4041,9 +4050,11 @@ async fn simulated_data_task(state: SharedState, tick_ms: u64) {
 
         // Populate persons from the sensing update (Kalman-smoothed via tracker).
         let raw_persons = derive_pose_from_sensing(&update);
+        let mut last_tracker_instant = s.last_tracker_instant.take();
         let tracked = tracker_bridge::tracker_update(
-            &mut s.pose_tracker, &mut s.last_tracker_instant, raw_persons,
+            &mut s.pose_tracker, &mut last_tracker_instant, raw_persons,
         );
+        s.last_tracker_instant = last_tracker_instant;
         if !tracked.is_empty() {
             update.persons = Some(tracked);
         }