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test(web): add LiDAR codec tests
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44
integrations/iphone-lidar/web/codec.test.mjs
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44
integrations/iphone-lidar/web/codec.test.mjs
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import test from 'node:test';
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import assert from 'node:assert/strict';
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import { decodeLiDARPacket, depthToPointCloud } from './codec.mjs';
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function b64(bytes) {
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return Buffer.from(bytes).toString('base64');
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}
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test('decodes u16 millimeter depth and confidence', () => {
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const packet = {
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type: 'ruview.lidar.depth.v1',
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intrinsics: { fx: 100, fy: 100, cx: 1, cy: 1, imageWidth: 2, imageHeight: 2 },
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pose: { matrix: Array(16).fill(0) },
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depth: {
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width: 2,
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height: 2,
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encoding: 'u16le-mm+u8-confidence',
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millimetersBase64: b64([0xe8,0x03,0xd0,0x07,0xb8,0x0b,0xa0,0x0f]),
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confidenceBase64: b64([2,2,1,0]),
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},
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provenance: { sensor: 'test', source: 'live', privacyClass: 'geometry-only', sequence: 1, timestampNs: 1, schema: 'ruview.lidar.depth.v1' },
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};
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const frame = decodeLiDARPacket(packet);
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assert.deepEqual(Array.from(frame.depth.meters), [1,2,3,4]);
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assert.deepEqual(Array.from(frame.depth.confidence), [2,2,1,0]);
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});
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test('rejects malformed payload length', () => {
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assert.throws(() => decodeLiDARPacket({
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type: 'ruview.lidar.depth.v1',
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depth: { width: 2, height: 2, encoding: 'u16le-mm+u8-confidence', millimetersBase64: b64([1,2]), confidenceBase64: b64([1,1,1,1]) },
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}), /length mismatch/);
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});
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test('projects depth into a point cloud and honors confidence', () => {
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const frame = {
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intrinsics: { fx: 100, fy: 100, cx: 0, cy: 0, imageWidth: 2, imageHeight: 2 },
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depth: { width: 2, height: 2, meters: Float32Array.from([1,1,1,1]), confidence: Uint8Array.from([2,0,2,0]) },
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};
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const points = depthToPointCloud(frame, 1);
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assert.equal(points.length, 2);
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assert.deepEqual(points[0], [0, 0, -1]);
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});
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