brackt/app/services/__tests__/probability-engine.test.ts
Chris Parsons e2b178221a
Add oxlint linting setup with zero errors (#194)
* Add oxlint and fix all lint errors

- Install oxlint, add .oxlintrc.json with rules for TypeScript/React
- Add npm run lint / lint:fix scripts
- Add Claude PostToolUse hook to run oxlint on every edited file
- Fix 101 errors: unused vars/imports, eqeqeq, prefer-const, no-new-array
- Fix no-array-index-key (use stable keys or suppress positional cases)
- Fix exhaustive-deps missing dependency in useEffect
- Promote exhaustive-deps and no-array-index-key to errors
- Fix Map.get() !== null bug in $leagueId.server.ts (should be !== undefined)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* Fix no-explicit-any warnings and upgrade tsconfig to ES2023

- Replace all `any` types with proper types or `unknown` across ~20 files
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- Fix cascading type errors uncovered by removing any: Map.get narrowing,
  participant relation types, ChartDataPoint, Partial<NewSeason> indexing
- Add ParticipantResultWithParticipant type to participant-result model
- Fix test fixtures to match updated interfaces (DraftCell, ParticipantResult)
- Fix duplicate getQPStandings import in sportsSeasonId.server.ts

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* Promote no-explicit-any to error

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

---------

Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-21 09:44:05 -07:00

322 lines
12 KiB
TypeScript

import { describe, it, expect } from 'vitest';
import {
convertAmericanOddsToProbability,
convertDecimalOddsToProbability,
normalizeProbabilities,
decompressProbability,
mapToElo,
eloWinProbability,
convertFuturesToElo,
calculatePredictionError,
} from '../probability-engine';
describe('probability-engine', () => {
describe('convertAmericanOddsToProbability', () => {
it('converts positive odds (underdog) correctly', () => {
expect(convertAmericanOddsToProbability(500)).toBeCloseTo(0.1667, 4);
expect(convertAmericanOddsToProbability(100)).toBeCloseTo(0.5, 4);
expect(convertAmericanOddsToProbability(200)).toBeCloseTo(0.3333, 4);
});
it('converts negative odds (favorite) correctly', () => {
expect(convertAmericanOddsToProbability(-200)).toBeCloseTo(0.6667, 4);
expect(convertAmericanOddsToProbability(-150)).toBeCloseTo(0.6, 4);
expect(convertAmericanOddsToProbability(-100)).toBeCloseTo(0.5, 4);
});
it('handles extreme odds', () => {
expect(convertAmericanOddsToProbability(15000)).toBeCloseTo(0.0066, 4);
expect(convertAmericanOddsToProbability(-500)).toBeCloseTo(0.8333, 4);
});
it('throws error for zero odds', () => {
expect(() => convertAmericanOddsToProbability(0)).toThrow('cannot be zero');
});
});
describe('convertDecimalOddsToProbability', () => {
it('converts decimal odds correctly', () => {
expect(convertDecimalOddsToProbability(6.0)).toBeCloseTo(0.1667, 4);
expect(convertDecimalOddsToProbability(2.0)).toBeCloseTo(0.5, 4);
expect(convertDecimalOddsToProbability(1.5)).toBeCloseTo(0.6667, 4);
});
it('handles extreme decimal odds', () => {
expect(convertDecimalOddsToProbability(151.0)).toBeCloseTo(0.0066, 4);
expect(convertDecimalOddsToProbability(1.2)).toBeCloseTo(0.8333, 4);
});
it('throws error for odds <= 1', () => {
expect(() => convertDecimalOddsToProbability(1.0)).toThrow('must be greater than 1');
expect(() => convertDecimalOddsToProbability(0.5)).toThrow('must be greater than 1');
});
});
describe('normalizeProbabilities', () => {
it('normalizes probabilities that sum to >100%', () => {
const probs = [0.55, 0.50]; // 105%
const normalized = normalizeProbabilities(probs);
expect(normalized[0]).toBeCloseTo(0.5238, 4);
expect(normalized[1]).toBeCloseTo(0.4762, 4);
expect(normalized.reduce((sum, p) => sum + p, 0)).toBeCloseTo(1.0, 10);
});
it('normalizes probabilities that sum to <100%', () => {
const probs = [0.45, 0.40]; // 85%
const normalized = normalizeProbabilities(probs);
expect(normalized[0]).toBeCloseTo(0.5294, 4);
expect(normalized[1]).toBeCloseTo(0.4706, 4);
expect(normalized.reduce((sum, p) => sum + p, 0)).toBeCloseTo(1.0, 10);
});
it('handles already normalized probabilities', () => {
const probs = [0.6, 0.4]; // 100%
const normalized = normalizeProbabilities(probs);
expect(normalized[0]).toBeCloseTo(0.6, 4);
expect(normalized[1]).toBeCloseTo(0.4, 4);
});
it('works with many probabilities', () => {
const probs = [0.2, 0.2, 0.2, 0.2, 0.2]; // 100%
const normalized = normalizeProbabilities(probs);
normalized.forEach(p => expect(p).toBeCloseTo(0.2, 4));
expect(normalized.reduce((sum, p) => sum + p, 0)).toBeCloseTo(1.0, 10);
});
it('throws error for zero sum', () => {
expect(() => normalizeProbabilities([0, 0, 0])).toThrow('sum to zero');
});
});
describe('decompressProbability', () => {
it('decompresses championship probabilities with default exponent', () => {
expect(decompressProbability(0.154)).toBeCloseTo(2.465, 2); // Colorado 15.4%
expect(decompressProbability(0.0066)).toBeCloseTo(0.872, 2); // NY Islanders 0.66%
});
it('decompresses with custom exponent', () => {
expect(decompressProbability(0.154, 0.5)).toBeCloseTo(3.924, 2); // Square root
expect(decompressProbability(0.154, 0.25)).toBeCloseTo(1.981, 2); // Fourth root
});
it('handles edge cases', () => {
expect(decompressProbability(1.0, 0.33)).toBeCloseTo(4.571, 2); // 100% probability
expect(decompressProbability(0.01, 0.33)).toBeCloseTo(1.0, 2); // 1% probability -> 1^0.33 = 1
});
it('throws error for invalid probability', () => {
expect(() => decompressProbability(-0.1)).toThrow('must be between 0 and 1');
expect(() => decompressProbability(1.5)).toThrow('must be between 0 and 1');
});
it('throws error for invalid exponent', () => {
expect(() => decompressProbability(0.5, 0)).toThrow('must be positive');
expect(() => decompressProbability(0.5, -1)).toThrow('must be positive');
});
});
describe('mapToElo', () => {
it('maps strength to Elo scale correctly', () => {
const elo1 = mapToElo(2.49, 0.5, 3.0, { eloMin: 1250, eloMax: 1750 });
expect(elo1).toBeCloseTo(1648, 0);
const elo2 = mapToElo(0.87, 0.5, 3.0, { eloMin: 1250, eloMax: 1750 });
expect(elo2).toBeCloseTo(1324, 0);
});
it('maps min strength to min Elo', () => {
const elo = mapToElo(0.5, 0.5, 3.0, { eloMin: 1250, eloMax: 1750 });
expect(elo).toBe(1250);
});
it('maps max strength to max Elo', () => {
const elo = mapToElo(3.0, 0.5, 3.0, { eloMin: 1250, eloMax: 1750 });
expect(elo).toBe(1750);
});
it('maps mid strength to mid Elo', () => {
const elo = mapToElo(1.75, 0.5, 3.0, { eloMin: 1250, eloMax: 1750 });
expect(elo).toBeCloseTo(1500, 0);
});
it('allows slight rounding errors', () => {
// Slightly outside range due to floating point errors
expect(() => mapToElo(0.4999, 0.5, 3.0)).not.toThrow();
expect(() => mapToElo(3.0001, 0.5, 3.0)).not.toThrow();
});
it('throws error for strength outside range', () => {
expect(() => mapToElo(0.1, 0.5, 3.0)).toThrow('must be between min and max');
expect(() => mapToElo(5.0, 0.5, 3.0)).toThrow('must be between min and max');
});
it('throws error for invalid strength range', () => {
expect(() => mapToElo(1.0, 2.0, 1.0)).toThrow('must be greater than min');
});
});
describe('eloWinProbability', () => {
it('calculates 50% for equal ratings', () => {
expect(eloWinProbability(1500, 1500)).toBeCloseTo(0.5, 4);
expect(eloWinProbability(1600, 1600)).toBeCloseTo(0.5, 4);
});
it('calculates correct probability for rating differences', () => {
// ~91% for 400-point favorite
expect(eloWinProbability(1700, 1300)).toBeCloseTo(0.909, 3);
// ~76% for 200-point favorite
expect(eloWinProbability(1600, 1400)).toBeCloseTo(0.760, 3);
// ~64% for 100-point favorite
expect(eloWinProbability(1550, 1450)).toBeCloseTo(0.640, 3);
});
it('is symmetric (inverse for reversed teams)', () => {
const prob1 = eloWinProbability(1600, 1400);
const prob2 = eloWinProbability(1400, 1600);
expect(prob1 + prob2).toBeCloseTo(1.0, 10);
});
it('handles extreme differences', () => {
expect(eloWinProbability(2000, 1000)).toBeGreaterThan(0.99);
expect(eloWinProbability(1000, 2000)).toBeLessThan(0.01);
});
});
describe('convertFuturesToElo', () => {
it('converts American odds to Elo ratings', () => {
const odds = [
{ participantId: '1', odds: 550 }, // Colorado +550 (15.4%)
{ participantId: '2', odds: 800 }, // Florida +800 (11.1%)
{ participantId: '3', odds: 15000 }, // NY Islanders +15000 (0.66%)
];
const eloRatings = convertFuturesToElo(odds, 'american');
expect(eloRatings.size).toBe(3);
expect(eloRatings.get('1')).toBeGreaterThan(eloRatings.get('2')!);
expect(eloRatings.get('2')).toBeGreaterThan(eloRatings.get('3')!);
// Strongest team should be near max Elo
expect(eloRatings.get('1')).toBeGreaterThan(1600);
// Weakest team should be near min Elo
expect(eloRatings.get('3')).toBeLessThan(1400);
});
it('converts decimal odds to Elo ratings', () => {
const odds = [
{ participantId: '1', odds: 6.5 },
{ participantId: '2', odds: 9.0 },
{ participantId: '3', odds: 151.0 },
];
const eloRatings = convertFuturesToElo(odds, 'decimal');
expect(eloRatings.size).toBe(3);
expect(eloRatings.get('1')).toBeGreaterThan(eloRatings.get('2')!);
expect(eloRatings.get('2')).toBeGreaterThan(eloRatings.get('3')!);
});
it('uses custom calibration parameters', () => {
const odds = [
{ participantId: '1', odds: 550 },
{ participantId: '2', odds: 15000 },
];
const params = { exponent: 0.5, eloMin: 1000, eloMax: 2000 };
const eloRatings = convertFuturesToElo(odds, 'american', params);
expect(eloRatings.get('1')).toBeGreaterThanOrEqual(1000);
expect(eloRatings.get('1')).toBeLessThanOrEqual(2000);
expect(eloRatings.get('2')).toBeGreaterThanOrEqual(1000);
expect(eloRatings.get('2')).toBeLessThanOrEqual(2000);
});
it('returns empty map for empty input', () => {
const eloRatings = convertFuturesToElo([]);
expect(eloRatings.size).toBe(0);
});
it('returns integer Elo values', () => {
const odds = [
{ participantId: '1', odds: 550 },
{ participantId: '2', odds: 800 },
];
const eloRatings = convertFuturesToElo(odds, 'american');
eloRatings.forEach((elo) => {
expect(elo).toBe(Math.round(elo));
});
});
});
describe('calculatePredictionError', () => {
it('calculates mean and max error correctly', () => {
const predicted = [0.828, 0.565];
const actual = [0.730, 0.630];
const error = calculatePredictionError(predicted, actual);
expect(error.meanError).toBeCloseTo(0.0815, 2);
expect(error.maxError).toBeCloseTo(0.098, 2);
});
it('returns zero error for perfect predictions', () => {
const predicted = [0.5, 0.6, 0.7];
const actual = [0.5, 0.6, 0.7];
const error = calculatePredictionError(predicted, actual);
expect(error.meanError).toBe(0);
expect(error.maxError).toBe(0);
});
it('handles single value', () => {
const error = calculatePredictionError([0.75], [0.80]);
expect(error.meanError).toBeCloseTo(0.05, 4);
expect(error.maxError).toBeCloseTo(0.05, 4);
});
it('throws error for mismatched array lengths', () => {
expect(() => {
calculatePredictionError([0.5, 0.6], [0.5]);
}).toThrow('must have same length');
});
});
describe('integration: NHL example from plan', () => {
it('converts NHL futures to Elo and predicts game line within reasonable error', () => {
// From plan: Colorado +550, NY Islanders +15000
const odds = [
{ participantId: 'col', odds: 550 }, // 15.4%
{ participantId: 'nyi', odds: 15000 }, // 0.66%
];
const eloRatings = convertFuturesToElo(odds, 'american');
const colElo = eloRatings.get('col')!;
const nyiElo = eloRatings.get('nyi')!;
// Calculate predicted game line
const predicted = eloWinProbability(colElo, nyiElo);
// Actual line from plan: Colorado -270 (73.0%)
const actual = convertAmericanOddsToProbability(-270);
// Error should be reasonable (target: <10% before calibration)
const error = Math.abs(predicted - actual);
// This may not pass exactly without calibration, but should be in ballpark
// Once calibration is done in UI, this should be < 0.05
expect(error).toBeLessThan(0.25); // 25% tolerance before calibration
});
});
});