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aiquadtreejs

v0.5.9

Published

Tiny 2D quadtree for per-frame rebuild collision broadphase. Insert AABBs, retrieve candidates, clear. Caller does precise hit-testing. Designed for PixiJS games with 500–10,000 active entities.

Downloads

48

Readme

aiquadtreejs

Tiny 2D quadtree for per-frame rebuild collision broadphase. Insert AABBs, retrieve candidates, then run precise collision checks yourself.

Status: 0.5.9 - stable 1.0-track surface. The root entry is the public API.

Install

pnpm add aiquadtreejs
import { createQuadtree, type AABB } from "aiquadtreejs";

Quick Start

interface Body extends AABB {
  id: number;
}

const tree = createQuadtree<Body>({
  bounds: { x: 0, y: 0, width: 800, height: 600 },
  maxObjects: 10,
  maxLevels: 4,
});

const bodies: Body[] = [
  { id: 1, x: 100, y: 100, width: 32, height: 32 },
  { id: 2, x: 400, y: 250, width: 32, height: 32 },
];

tree.clear();
for (const body of bodies) tree.insert(body);

const candidates = tree.retrieve({ x: 80, y: 80, width: 120, height: 120 });

Core API

  • createQuadtree<T extends AABB>({ bounds, maxObjects?, maxLevels? }) creates a tree.
  • insert(obj) stores an object reference in overlapping nodes.
  • retrieve(region) returns a deduplicated broadphase candidate array.
  • retrieveInto(region, target) reuses a caller-owned result array.
  • clear() empties the tree for the next frame and clears scratch buffers.
  • dispose() is idempotent permanent teardown.
  • Errors: QuadtreeError, QuadtreeDisposedError.

Model

  • Coordinates are right-open: { x, y, width, height } covers [x, x + width) and [y, y + height).
  • This is a broadphase only. Returned candidates may not actually overlap the query region.
  • Expected usage is per-frame rebuild: clear(), insert active bodies, query.
  • Objects spanning quadrant boundaries can be stored in multiple child nodes; results are deduplicated.
  • maxLevels has no hard cap. Very high values plus spanning objects can create huge node counts.

Sharp Edges

  • Zero-size points (width = 0, height = 0) follow right-open [x, x+width) semantics: a point on the minimum x/y boundary is inclusive and is inserted/retrieved correctly; a point at the exclusive maximum edge is outside the root and is ignored. (Was a bug before 0.5.8; fixed.)
  • Fully outside objects are ignored by retrieval.
  • Negative width/height and non-finite coordinates throw.
  • retrieveInto() clears the target array before writing results.
  • After dispose(), all methods except dispose() throw QuadtreeDisposedError.

AI Context

License

MIT