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use crate::{Bounds, Distance, Pt2D};
use aabb_quadtree::geom::{Point, Rect};
use aabb_quadtree::QuadTree;
use geo::algorithm::contains::Contains;
use geo::prelude::{ClosestPoint, EuclideanDistance};
use std::collections::BTreeMap;
pub struct FindClosest<K> {
geometries: BTreeMap<K, geo::LineString<f64>>,
quadtree: QuadTree<K>,
}
impl<K> FindClosest<K>
where
K: Clone + Ord + std::fmt::Debug,
{
pub fn new(bounds: &Bounds) -> FindClosest<K> {
FindClosest {
geometries: BTreeMap::new(),
quadtree: QuadTree::default(bounds.as_bbox()),
}
}
pub fn add(&mut self, key: K, pts: &Vec<Pt2D>) {
self.geometries.insert(key.clone(), pts_to_line_string(pts));
self.quadtree
.insert_with_box(key, Bounds::from(pts).as_bbox());
}
pub fn all_close_pts(
&self,
query_pt: Pt2D,
max_dist_away: Distance,
) -> Vec<(K, Pt2D, Distance)> {
let query_geom = geo::Point::new(query_pt.x(), query_pt.y());
let query_bbox = Rect {
top_left: Point {
x: (query_pt.x() - max_dist_away.inner_meters()) as f32,
y: (query_pt.y() - max_dist_away.inner_meters()) as f32,
},
bottom_right: Point {
x: (query_pt.x() + max_dist_away.inner_meters()) as f32,
y: (query_pt.y() + max_dist_away.inner_meters()) as f32,
},
};
self.quadtree
.query(query_bbox)
.into_iter()
.filter_map(|(key, _, _)| {
if let geo::Closest::SinglePoint(pt) =
self.geometries[&key].closest_point(&query_geom)
{
let dist = Distance::meters(pt.euclidean_distance(&query_geom));
if dist <= max_dist_away {
Some((key.clone(), Pt2D::new(pt.x(), pt.y()), dist))
} else {
None
}
} else if self.geometries[&key].contains(&query_geom) {
Some((key.clone(), query_pt, Distance::ZERO))
} else {
None
}
})
.collect()
}
pub fn closest_pt(&self, query_pt: Pt2D, max_dist_away: Distance) -> Option<(K, Pt2D)> {
self.all_close_pts(query_pt, max_dist_away)
.into_iter()
.min_by_key(|(_, _, dist)| *dist)
.map(|(k, pt, _)| (k, pt))
}
}
fn pts_to_line_string(raw_pts: &Vec<Pt2D>) -> geo::LineString<f64> {
let pts: Vec<geo::Point<f64>> = raw_pts
.iter()
.map(|pt| geo::Point::new(pt.x(), pt.y()))
.collect();
pts.into()
}