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rotatingMachine/test/basic/workingCurves.basic.test.js

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const test = require('node:test');
const assert = require('node:assert/strict');
const { showWorkingCurves, showCoG } = require('../../src/display/workingCurves');
function makePredictors(overrides = {}) {
return {
hasCurve: true,
cog: 0.65,
cogIndex: 7,
NCog: 0.5,
minEfficiency: 0.4,
currentEfficiencyCurve: { x: [0, 1], y: [0.4, 0.8] },
absDistFromPeak: 0.15,
relDistFromPeak: 0.3,
calcCog: () => ({ cog: 0.65, cogIndex: 7, NCog: 0.5, minEfficiency: 0.4 }),
getCurrentCurves: () => ({
powerCurve: { x: [0, 1], y: [10, 20] },
flowCurve: { x: [0, 1], y: [0, 5] },
}),
...overrides,
};
}
test('showWorkingCurves returns the expected shape when curves exist', () => {
const p = makePredictors();
const out = showWorkingCurves(p);
assert.deepEqual(out.powerCurve, { x: [0, 1], y: [10, 20] });
assert.deepEqual(out.flowCurve, { x: [0, 1], y: [0, 5] });
assert.equal(out.cog, 0.65);
assert.equal(out.cogIndex, 7);
assert.equal(out.NCog, 0.5);
assert.equal(out.minEfficiency, 0.4);
assert.deepEqual(out.currentEfficiencyCurve, { x: [0, 1], y: [0.4, 0.8] });
assert.equal(out.absDistFromPeak, 0.15);
assert.equal(out.relDistFromPeak, 0.3);
});
test('showWorkingCurves returns error envelope when hasCurve is false', () => {
const out = showWorkingCurves(makePredictors({ hasCurve: false }));
assert.deepEqual(out, { error: 'No curve data available' });
});
test('showWorkingCurves handles null predictors safely', () => {
const out = showWorkingCurves(null);
assert.equal(out.error, 'No curve data available');
});
test('showCoG returns CoG data with rounded NCogPercent when curves exist', () => {
const p = makePredictors();
const out = showCoG(p);
assert.equal(out.cog, 0.65);
assert.equal(out.cogIndex, 7);
assert.equal(out.NCog, 0.5);
// 0.5 * 100 = 50.0, rounded *100 /100 still 50
assert.equal(out.NCogPercent, 50);
assert.equal(out.minEfficiency, 0.4);
assert.deepEqual(out.currentEfficiencyCurve, { x: [0, 1], y: [0.4, 0.8] });
assert.equal(out.absDistFromPeak, 0.15);
assert.equal(out.relDistFromPeak, 0.3);
});
test('showCoG rounds NCogPercent to 2 decimal places', () => {
const p = makePredictors({
calcCog: () => ({ cog: 0.1, cogIndex: 1, NCog: 0.123456, minEfficiency: 0.2 }),
});
const out = showCoG(p);
assert.equal(out.NCogPercent, 12.35);
});
test('showCoG returns degraded shape when hasCurve is false', () => {
const out = showCoG(makePredictors({ hasCurve: false }));
assert.equal(out.error, 'No curve data available');
assert.equal(out.cog, 0);
assert.equal(out.NCog, 0);
assert.equal(out.cogIndex, 0);
});
test('showCoG handles null predictors safely', () => {
const out = showCoG(null);
assert.equal(out.error, 'No curve data available');
assert.equal(out.cog, 0);
});