//! In-memory hashmap of known map objects, keyed by H3 cell. //! //! Classification logic (NEW / MOVED / EXISTING) lives here. Per //! `architecture.md §7.12` the on-device map keeps the full per-mission //! state in memory; persistence (AZ-668) lands later. //! //! Concurrency: this module is intentionally single-threaded and not //! `Sync`. The public `MapObjectsStoreHandle` wraps it in an `Arc>` //! so the lock surface is a single owned mutex instead of fine-grained //! per-cell locking. With p99 ≤ 1 ms and detection rates < 30 Hz the //! single mutex is comfortably within budget. use std::collections::HashMap; use chrono::{DateTime, Utc}; use h3o::CellIndex; use shared::error::Result; use uuid::Uuid; use super::h3_index::{cell_of, grid_disk, haversine_m, DEFAULT_K_RING, DEFAULT_RESOLUTION}; /// Per-detection input to `classify`. This bundles the georeferenced /// payload the architecture-level "detection" carries (gps, class, conf, /// size — see `system-flows.md §F7`) without forcing the shared /// `Detection` model to grow geolocation fields. `scan_controller` builds /// this from `Detection` + GPS / MGRS context at the call site. #[derive(Debug, Clone)] pub struct ClassifyInput { pub gps_lat: f64, pub gps_lon: f64, pub mgrs: String, pub class: String, pub size_width_m: f32, pub size_length_m: f32, pub confidence: f32, pub mission_id: String, pub observed_at: DateTime, } /// Configuration for the spatial-index + classification policy. #[derive(Debug, Clone)] pub struct MapObjectsStoreConfig { /// H3 cell resolution. Default 10 (~15 m edge). pub h3_resolution: u8, /// K-ring radius for boundary-safe lookups. Default 2. pub k_ring: u32, /// Maximum distance (m) between input and stored object for the pair /// to be considered a possible match. Beyond this → `NEW`. pub distance_threshold_m: f64, /// Above this delta (m) between input position and the matched /// object's stored position, classification flips to `MOVED`. pub move_threshold_m: f64, /// Class-similarity groups. Each inner vec is one group; classes in /// the same group are considered equivalent for matching (e.g. /// `tree` and `shrub` collapsed). A class not listed in any group /// is its own group of one. pub similar_classes: Vec>, } impl Default for MapObjectsStoreConfig { fn default() -> Self { Self { h3_resolution: DEFAULT_RESOLUTION, k_ring: DEFAULT_K_RING, // Defaults follow `system-flows.md §F7` (distance 50 m, // move 10 m). The task brief lists different per-AC values // (30 m / 50 m) — callers override per scenario. distance_threshold_m: 50.0, move_threshold_m: 10.0, similar_classes: Vec::new(), } } } /// Outcome of `MapObjectsStore::classify`. #[derive(Debug, Clone, PartialEq, Eq)] pub enum Classification { New { id: Uuid, }, Moved { id: Uuid, from_mgrs: String, to_mgrs: String, }, Existing { id: Uuid, }, /// Reserved for AZ-666 end-of-pass sweep. RemovedCandidate { id: Uuid, }, /// Reserved for AZ-666 ignored-suppression. Ignored, } /// Stored shape. Fields beyond what `classify` reads are kept for the /// next batch in the same component (AZ-666 ignored-suppression / sweep, /// AZ-667 hydrate / dump_pending) which will surface them via the engine /// API. The lint allow is scoped to those forward-use fields. #[allow(dead_code)] #[derive(Debug, Clone)] struct StoredMapObject { id: Uuid, h3_cell: CellIndex, mgrs: String, class: String, class_group: String, gps_lat: f64, gps_lon: f64, size_width_m: f32, size_length_m: f32, confidence: f32, first_seen: DateTime, last_seen: DateTime, mission_id: String, } /// In-memory spatial index of known map objects. pub struct Store { config: MapObjectsStoreConfig, by_cell: HashMap>, /// Total object count, maintained alongside `by_cell` for O(1) metrics. len: usize, } impl Store { pub fn new(config: MapObjectsStoreConfig) -> Self { Self { config, by_cell: HashMap::new(), len: 0, } } pub fn len(&self) -> usize { self.len } /// Exposed for AZ-666/AZ-667 engine plug-points (`internal::engine::*`). #[allow(dead_code)] pub fn config(&self) -> &MapObjectsStoreConfig { &self.config } /// Resolve a raw class string to its canonical group key. /// /// The first class listed in a `similar_classes` group is the group /// key. A class absent from all groups is its own group. fn group_key(&self, class: &str) -> String { for group in &self.config.similar_classes { if group.iter().any(|c| c == class) { // group[0] is guaranteed by Vec invariants once we filter // empty groups out (see new). But be defensive. if let Some(first) = group.first() { return first.clone(); } } } class.to_string() } /// Classify a single detection input. Mutates the store on `New` / /// `Moved` / `Existing` (insert / position-update / last_seen-update /// respectively). Returns the classification. pub fn classify(&mut self, input: ClassifyInput) -> Result { let query_cell = cell_of(input.gps_lat, input.gps_lon, self.config.h3_resolution)?; let group = self.group_key(&input.class); // Find the nearest matching object across the k-ring. let mut best: Option<(CellIndex, usize, f64)> = None; let disk = grid_disk(query_cell, self.config.k_ring); for cell in &disk { if let Some(objects) = self.by_cell.get(cell) { for (idx, obj) in objects.iter().enumerate() { if obj.class_group != group { continue; } let d = haversine_m(input.gps_lat, input.gps_lon, obj.gps_lat, obj.gps_lon); if d > self.config.distance_threshold_m { continue; } if best.is_none_or(|(_, _, prev_d)| d < prev_d) { best = Some((*cell, idx, d)); } } } } match best { Some((cell, idx, delta_m)) if delta_m >= self.config.move_threshold_m => { // MOVED — update stored position to the new observation. let bucket = self .by_cell .get_mut(&cell) .expect("cell present during best-match scan"); let obj = &mut bucket[idx]; let from_mgrs = obj.mgrs.clone(); let id = obj.id; obj.gps_lat = input.gps_lat; obj.gps_lon = input.gps_lon; obj.mgrs = input.mgrs.clone(); obj.last_seen = input.observed_at; obj.confidence = input.confidence; // If the new GPS sits in a different H3 cell, re-bucket. if cell != query_cell { let moved = bucket.remove(idx); if bucket.is_empty() { self.by_cell.remove(&cell); } self.by_cell .entry(query_cell) .or_default() .push(StoredMapObject { h3_cell: query_cell, ..moved }); } Ok(Classification::Moved { id, from_mgrs, to_mgrs: input.mgrs, }) } Some((cell, idx, _)) => { // EXISTING — just refresh last_seen. let bucket = self .by_cell .get_mut(&cell) .expect("cell present during best-match scan"); let obj = &mut bucket[idx]; obj.last_seen = input.observed_at; Ok(Classification::Existing { id: obj.id }) } None => { // NEW — insert. let id = Uuid::new_v4(); let stored = StoredMapObject { id, h3_cell: query_cell, mgrs: input.mgrs.clone(), class: input.class.clone(), class_group: group, gps_lat: input.gps_lat, gps_lon: input.gps_lon, size_width_m: input.size_width_m, size_length_m: input.size_length_m, confidence: input.confidence, first_seen: input.observed_at, last_seen: input.observed_at, mission_id: input.mission_id.clone(), }; self.by_cell.entry(query_cell).or_default().push(stored); self.len += 1; Ok(Classification::New { id }) } } } } #[cfg(test)] mod tests { use super::*; fn input(lat: f64, lon: f64, class: &str) -> ClassifyInput { ClassifyInput { gps_lat: lat, gps_lon: lon, mgrs: format!("MGRS({lat},{lon})"), class: class.into(), size_width_m: 1.0, size_length_m: 1.0, confidence: 0.9, mission_id: "m1".into(), observed_at: Utc::now(), } } #[test] fn group_key_returns_class_when_unknown() { // Arrange let s = Store::new(MapObjectsStoreConfig::default()); // Act + Assert assert_eq!(s.group_key("tank"), "tank"); } #[test] fn group_key_collapses_similar_classes() { // Arrange let cfg = MapObjectsStoreConfig { similar_classes: vec![vec!["tree".into(), "shrub".into()]], ..MapObjectsStoreConfig::default() }; let s = Store::new(cfg); // Assert assert_eq!(s.group_key("tree"), "tree"); assert_eq!(s.group_key("shrub"), "tree"); assert_eq!(s.group_key("rock"), "rock"); } #[test] fn empty_store_has_zero_len() { // Arrange let s = Store::new(MapObjectsStoreConfig::default()); // Assert assert_eq!(s.len(), 0); } #[test] fn first_classify_is_new() { // Arrange let mut s = Store::new(MapObjectsStoreConfig::default()); // Act let c = s.classify(input(50.45, 30.52, "tank")).unwrap(); // Assert assert!(matches!(c, Classification::New { .. })); assert_eq!(s.len(), 1); } }