0
0
Fork 0
mirror of https://github.com/liabru/matter-js.git synced 2024-11-27 09:50:52 -05:00
liabru-matter-js/test/TestTools.js
2021-01-31 17:34:38 +00:00

308 lines
No EOL
11 KiB
JavaScript

/* eslint-env es6 */
"use strict";
const fs = require('fs');
const compactStringify = require('json-stringify-pretty-compact');
const { Composite, Constraint } = require('../src/module/main');
const comparePath = './test/__compare__';
const compareCommand = 'open http://localhost:8000/?compare';
const diffSaveCommand = 'npm run test-save';
const diffCommand = 'code -n -d test/__compare__/examples-build.json test/__compare__/examples-dev.json';
const equalityThreshold = 0.99999;
const intrinsicProps = [
// Common
'id', 'label',
// Constraint
'angularStiffness', 'bodyA', 'bodyB', 'damping', 'length', 'stiffness',
// Body
'area', 'axes', 'collisionFilter', 'category', 'mask',
'group', 'density', 'friction', 'frictionAir', 'frictionStatic', 'inertia', 'inverseInertia', 'inverseMass', 'isSensor',
'isSleeping', 'isStatic', 'mass', 'parent', 'parts', 'restitution', 'sleepThreshold', 'slop',
'timeScale', 'vertices',
// Composite
'bodies', 'constraints', 'composites'
];
const colors = { Red: 31, Green: 32, Yellow: 33, White: 37, BrightWhite: 90, BrightCyan: 36 };
const color = (text, number) => number ? `\x1b[${number}m${text}\x1b[0m` : text;
const limit = (val, precision=3) => parseFloat(val.toPrecision(precision));
const toPercent = val => (100 * val).toPrecision(3);
const engineCapture = (engine) => ({
timestamp: limit(engine.timing.timestamp),
extrinsic: worldCaptureExtrinsic(engine.world),
intrinsic: worldCaptureIntrinsic(engine.world)
});
const worldCaptureExtrinsic = world => ({
bodies: Composite.allBodies(world).reduce((bodies, body) => {
bodies[body.id] = [
body.position.x,
body.position.y,
body.positionPrev.x,
body.positionPrev.y,
body.angle,
body.anglePrev,
...body.vertices.reduce((flat, vertex) => (flat.push(vertex.x, vertex.y), flat), [])
];
return bodies;
}, {}),
constraints: Composite.allConstraints(world).reduce((constraints, constraint) => {
const positionA = Constraint.pointAWorld(constraint);
const positionB = Constraint.pointBWorld(constraint);
constraints[constraint.id] = [
positionA.x,
positionA.y,
positionB.x,
positionB.y
];
return constraints;
}, {})
});
const worldCaptureIntrinsic = world => worldCaptureIntrinsicBase({
bodies: Composite.allBodies(world).reduce((bodies, body) => {
bodies[body.id] = body;
return bodies;
}, {}),
constraints: Composite.allConstraints(world).reduce((constraints, constraint) => {
constraints[constraint.id] = constraint;
return constraints;
}, {}),
composites: Composite.allComposites(world).reduce((composites, composite) => {
composites[composite.id] = {
bodies: Composite.allBodies(composite).map(body => body.id),
constraints: Composite.allConstraints(composite).map(constraint => constraint.id),
composites: Composite.allComposites(composite).map(composite => composite.id)
};
return composites;
}, {})
});
const worldCaptureIntrinsicBase = (obj, depth=0) => {
if (obj === Infinity) {
return 'Infinity';
} else if (typeof obj === 'number') {
return limit(obj);
} else if (Array.isArray(obj)) {
return obj.map(item => worldCaptureIntrinsicBase(item, depth + 1));
} else if (typeof obj !== 'object') {
return obj;
}
const result = Object.entries(obj)
.filter(([key]) => depth <= 1 || intrinsicProps.includes(key))
.reduce((cleaned, [key, val]) => {
if (val && val.id && String(val.id) !== key) {
val = val.id;
}
if (Array.isArray(val) && !['composites', 'constraints', 'bodies'].includes(key)) {
val = `[${val.length}]`;
}
cleaned[key] = worldCaptureIntrinsicBase(val, depth + 1);
return cleaned;
}, {});
return Object.keys(result).sort()
.reduce((sorted, key) => (sorted[key] = result[key], sorted), {});
};
const similarity = (a, b) => {
const distance = Math.sqrt(a.reduce(
(sum, _val, i) => sum + Math.pow((a[i] || 0) - (b[i] || 0), 2), 0)
);
return 1 / (1 + (distance / a.length));
};
const captureSimilarityExtrinsic = (currentCaptures, referenceCaptures) => {
const result = {};
Object.entries(currentCaptures).forEach(([name, current]) => {
const reference = referenceCaptures[name];
const worldVector = [];
const worldVectorRef = [];
Object.keys(current.extrinsic).forEach(objectType => {
Object.keys(current.extrinsic[objectType]).forEach(objectId => {
worldVector.push(...current.extrinsic[objectType][objectId]);
worldVectorRef.push(...reference.extrinsic[objectType][objectId]);
});
});
result[name] = similarity(worldVector, worldVectorRef);
});
return result;
};
const writeResult = (name, obj) => {
try {
fs.mkdirSync(comparePath, { recursive: true });
} catch (err) {
if (err.code !== 'EEXIST') throw err;
}
if (typeof obj === 'string') {
fs.writeFileSync(`${comparePath}/${name}.md`, obj, 'utf8');
} else {
fs.writeFileSync(`${comparePath}/${name}.json`, compactStringify(obj, { maxLength: 100 }), 'utf8');
}
};
const toMatchExtrinsics = {
toMatchExtrinsics(received, value) {
const similaritys = captureSimilarityExtrinsic(received, value);
const pass = Object.values(similaritys).every(similarity => similarity >= equalityThreshold);
return {
message: () => 'Expected positions and velocities to match between builds.',
pass
};
}
};
const toMatchIntrinsics = {
toMatchIntrinsics(currentCaptures, referenceCaptures) {
const entries = Object.entries(currentCaptures);
let changed = false;
entries.forEach(([name, current]) => {
const reference = referenceCaptures[name];
if (!this.equals(current.intrinsic, reference.intrinsic)) {
changed = true;
}
});
return {
message: () => 'Expected intrinsic properties to match between builds.',
pass: !changed
};
}
};
const similarityRatings = similarity => similarity < equalityThreshold ? color('●', colors.Yellow) : '·';
const changeRatings = isChanged => isChanged ? color('◆', colors.White) : '·';
const equals = (a, b) => {
try {
expect(a).toEqual(b);
} catch (e) {
return false;
}
return true;
};
const logReport = (captures, version) => {
let report = '';
for (const capture of Object.values(captures)) {
if (!capture.logs.length) {
continue;
}
report += ` ${capture.name}\n`;
for (const log of capture.logs) {
report += ` ${log}\n`;
}
}
return `Output logs from ${color(version, colors.Yellow)} version on last run\n\n`
+ (report ? report : ' None\n');
};
const comparisonReport = (capturesDev, capturesBuild, buildVersion, save) => {
const similaritys = captureSimilarityExtrinsic(capturesDev, capturesBuild);
const similarityEntries = Object.entries(similaritys);
const devIntrinsicsChanged = {};
const buildIntrinsicsChanged = {};
let intrinsicChangeCount = 0;
let totalTimeBuild = 0;
let totalTimeDev = 0;
let totalOverlapBuild = 0;
let totalOverlapDev = 0;
const capturePerformance = Object.entries(capturesDev).map(([name]) => {
totalTimeBuild += capturesBuild[name].duration;
totalTimeDev += capturesDev[name].duration;
totalOverlapBuild += capturesBuild[name].overlap;
totalOverlapDev += capturesDev[name].overlap;
const changedIntrinsics = !equals(capturesDev[name].intrinsic, capturesBuild[name].intrinsic);
if (changedIntrinsics) {
capturesDev[name].changedIntrinsics = true;
if (intrinsicChangeCount < 2) {
devIntrinsicsChanged[name] = capturesDev[name].intrinsic;
buildIntrinsicsChanged[name] = capturesBuild[name].intrinsic;
intrinsicChangeCount += 1;
}
}
return { name };
});
capturePerformance.sort((a, b) => a.name.localeCompare(b.name));
similarityEntries.sort((a, b) => a[1] - b[1]);
let perfChange = 1 - (totalTimeDev / totalTimeBuild);
const perfChangeThreshold = 0.075;
const perfChangeLarge = Math.abs(perfChange) > perfChangeThreshold;
perfChange = perfChangeLarge ? perfChange : 0;
let similarityAvg = 0;
similarityEntries.forEach(([_, similarity]) => {
similarityAvg += similarity;
});
similarityAvg /= similarityEntries.length;
const overlapChange = (totalOverlapDev / (totalOverlapBuild || 1)) - 1;
const report = (breakEvery, format) => [
[`Output comparison of ${similarityEntries.length}`,
`examples against previous release ${format('matter-js@' + buildVersion, colors.Yellow)}`
].join(' '),
`\n\n${format('Similarity', colors.White)}`,
`${format(toPercent(similarityAvg), similarityAvg === 1 ? colors.Green : colors.Yellow)}%`,
`${format('Performance', colors.White)}`,
`${format((perfChange >= 0 ? '+' : '') + toPercent(perfChange), perfChange >= 0 ? colors.Green : colors.Red)}%`,
`${format('Overlap', colors.White)}`,
`${format((overlapChange >= 0 ? '+' : '') + toPercent(overlapChange), overlapChange > 0 ? colors.Red : colors.Green)}%`,
capturePerformance.reduce((output, p, i) => {
output += `${p.name} `;
output += `${similarityRatings(similaritys[p.name])} `;
output += `${changeRatings(capturesDev[p.name].changedIntrinsics)} `;
if (i > 0 && i < capturePerformance.length && breakEvery > 0 && i % breakEvery === 0) {
output += '\n';
}
return output;
}, '\n\n'),
`\nwhere · no change ● extrinsics changed ◆ intrinsics changed\n`,
similarityAvg < 1 ? `\n${format('▶', colors.White)} ${format(compareCommand + '=' + 120 + '#' + similarityEntries[0][0], colors.BrightCyan)}` : '',
intrinsicChangeCount > 0 ? `\n${format('▶', colors.White)} ${format((save ? diffCommand : diffSaveCommand), colors.BrightCyan)}` : ''
].join(' ');
if (save) {
writeResult('examples-dev', devIntrinsicsChanged);
writeResult('examples-build', buildIntrinsicsChanged);
writeResult('examples-report', report(5, s => s));
}
return report(5, color);
};
module.exports = {
engineCapture, comparisonReport, logReport,
toMatchExtrinsics, toMatchIntrinsics
};