Files
vyndr/tests/unit/nbaSettlement.test.js
T
builtbykev 9fc4edf3a9 Blast radius: exclude projection<=0 grades from the public model record
The degraded grades (projection=0 → model_value=0) are already settled in the
append-only ledger and must NOT be deleted (Data Semantics law). But their
hit/miss is noise, not model skill — they never had a real projection. So
getModelAggregate now filters `.gt('model_value', 0)` on both the settled and
pending queries: the rows stay in ledger_entries, but leave the public hit_pct /
CLV / per-tier record. `.gt` also drops NULL model_value. Post-fix no such row
can be written (projection<=0 refuses), so this only sheds the historical set.

This is the functional form of the "marking" the work order asked for — the
degraded locks are effectively marked as non-counting without mutating history.

Test builder mocks gained `.gt`; a lock asserts the filter is applied to both
queries. Suite 269/3253 green, web build exit 0.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-17 03:15:50 -04:00

204 lines
10 KiB
JavaScript

// Wave 1 (truth-everywhere-train) — NBA/WNBA settlement.
// Locks that once a basketball grade exists, it settles against the FREE ESPN
// per-game log (espnStatsAdapter.getPlayerGameLog), records populate, the run
// is idempotent, and an unplayed/in-progress game NEVER settles. Zero network.
const svc = require('../../src/services/outcomeService');
const ledger = require('../../src/services/ledgerService');
const { statValue, nbaStatValue, logRowOnDate } = svc.__internals;
// ---- in-memory Redis (same helper shape as outcomeService.test.js) --------
function memCache(seed = {}) {
const store = { ...seed };
return {
store,
cacheGet: async (k) => (k in store ? store[k] : null),
cacheSet: async (k, v) => { store[k] = v; return true; },
};
}
// ESPN gamelog rows carry a FULL ISO timestamp (a late tip is 00:xxZ the next
// UTC day) — the exact shape Wave 0's getPlayerGameLog returns.
const NOW = '2026-07-13T15:00:00.000Z'; // 11am ET Jul 13 = "today"
const GRADED_TS = '2026-07-12T23:30:00.000Z'; // 7:30pm ET Jul 12 (locked pre-game)
const GAME_ISO = '2026-07-13T01:00:00.000+00:00'; // 9pm ET Jul 12 → ET date Jul 12
function snapshot(sport, grades) { return { sport, updated_at: GRADED_TS, grades }; }
function grade(over = {}) {
return {
player: over.player || "A'ja Wilson",
stat_type: over.stat || 'points',
line: over.line != null ? over.line : 19.5,
direction: over.side || 'over',
grade: over.grade || 'A',
gradedAt: { line: over.line != null ? over.line : 19.5, odds: -115, timestamp: GRADED_TS },
};
}
// espnStatsAdapter.getPlayerGameLog fixture: { found, id, last10:[{date, stat}] }
function espnLog(statObj, dateIso = GAME_ISO) {
return { found: true, id: '3149391', last10: [{ date: dateIso, opponent: 'IND', isHome: true, stat: statObj }] };
}
describe('statValue — sport-aware (NBA/WNBA box keys, S11 three-map-split kept)', () => {
test('MLB path unchanged when sport unspecified/mlb', () => {
expect(statValue({ homeRuns: 1 }, 'home_runs')).toBe(1);
expect(statValue({ homeRuns: 1 }, 'home_runs', 'mlb')).toBe(1);
});
test('NBA/WNBA simple stats read the ESPN box object', () => {
const box = { points: 24, rebounds: 12, assists: 3, threes: 2, steals: 1, blocks: 1, turnovers: 4 };
expect(statValue(box, 'points', 'wnba')).toBe(24);
expect(statValue(box, 'rebounds', 'nba')).toBe(12);
expect(statValue(box, 'threes', 'wnba')).toBe(2);
expect(statValue(box, 'turnovers', 'nba')).toBe(4);
});
test('combo stat_types sum their components (pts_reb_ast, reb_ast, stl_blk)', () => {
const box = { points: 20, rebounds: 12, assists: 2, steals: 1, blocks: 3 };
expect(nbaStatValue(box, 'pts_reb_ast')).toBe(34);
expect(nbaStatValue(box, 'pts_reb')).toBe(32);
expect(nbaStatValue(box, 'reb_ast')).toBe(14);
expect(nbaStatValue(box, 'stl_blk')).toBe(4);
});
test('a combo with a missing component never fabricates a total', () => {
expect(nbaStatValue({ points: 20, rebounds: 12 }, 'pts_reb_ast')).toBeNull();
});
test('an unmapped NBA stat is unsettleable (absent beats a fabricated outcome)', () => {
expect(statValue({ points: 20 }, 'double_doubles', 'wnba')).toBeNull();
});
});
describe('logRowOnDate — ESPN ISO date normalized to UTC+ET', () => {
test('MLB rows exact-compare YYYY-MM-DD (unchanged)', () => {
expect(logRowOnDate({ date: '2026-07-09' }, '2026-07-09', 'mlb')).toBe(true);
expect(logRowOnDate({ date: '2026-07-09' }, '2026-07-08', 'mlb')).toBe(false);
});
test('NBA/WNBA ISO row matches its ET date (late tip rolled past UTC midnight)', () => {
expect(logRowOnDate({ date: GAME_ISO }, '2026-07-12', 'wnba')).toBe(true); // ET
expect(logRowOnDate({ date: GAME_ISO }, '2026-07-13', 'nba')).toBe(true); // UTC
expect(logRowOnDate({ date: GAME_ISO }, '2026-07-11', 'wnba')).toBe(false);
});
});
describe('settleSnapshot — WNBA grades settle vs the real ESPN game log', () => {
test('a locked WNBA over settles to a hit and populates accuracy:wnba + byGrade', async () => {
const cache = memCache({ 'snapshot:wnba:latest': snapshot('wnba', [grade({ stat: 'points', line: 19.5, side: 'over', grade: 'A' })]) });
const getPlayerStats = async () => espnLog({ points: 24, rebounds: 12, assists: 3 });
const res = await svc.settleSnapshot('wnba', { ...cache, getPlayerStats, now: () => NOW });
expect(res.settled).toBe(1);
expect(res.log[0]).toMatchObject({ result: 'hit', actual: 24, grade: 'A', side: 'O' });
expect(cache.store['accuracy:wnba'].byGrade['A'].hits).toBe(1);
expect(cache.store['accuracy:wnba'].overall.pct).toBe(100);
});
test('settles a miss (under, actual above line)', async () => {
const cache = memCache({ 'snapshot:wnba:latest': snapshot('wnba', [grade({ stat: 'points', line: 19.5, side: 'under', grade: 'B' })]) });
const getPlayerStats = async () => espnLog({ points: 24 });
const res = await svc.settleSnapshot('wnba', { ...cache, getPlayerStats, now: () => NOW });
expect(res.log[0].result).toBe('miss');
expect(cache.store['accuracy:wnba'].byGrade['B'].misses).toBe(1);
});
test('settles a push (actual equals line)', async () => {
const cache = memCache({ 'snapshot:wnba:latest': snapshot('wnba', [grade({ stat: 'points', line: 24, side: 'over', grade: 'C' })]) });
const getPlayerStats = async () => espnLog({ points: 24 });
const res = await svc.settleSnapshot('wnba', { ...cache, getPlayerStats, now: () => NOW });
expect(res.log[0].result).toBe('push');
});
test('a combo prop (pts_reb_ast) settles', async () => {
const cache = memCache({ 'snapshot:wnba:latest': snapshot('wnba', [grade({ stat: 'pts_reb_ast', line: 29.5, side: 'over', grade: 'A' })]) });
const getPlayerStats = async () => espnLog({ points: 20, rebounds: 12, assists: 2 }); // 34
const res = await svc.settleSnapshot('wnba', { ...cache, getPlayerStats, now: () => NOW });
expect(res.settled).toBe(1);
expect(res.log[0]).toMatchObject({ result: 'hit', actual: 34, stat: 'pts_reb_ast' });
});
test('idempotent — a second run does not double-count', async () => {
const cache = memCache({ 'snapshot:wnba:latest': snapshot('wnba', [grade({ grade: 'A' })]) });
const deps = { ...cache, getPlayerStats: async () => espnLog({ points: 24 }), now: () => NOW };
await svc.settleSnapshot('wnba', deps);
const res2 = await svc.settleSnapshot('wnba', deps);
expect(res2.settled).toBe(0);
expect(res2.log.length).toBe(1);
expect(cache.store['accuracy:wnba'].overall.total).toBe(1);
});
test('an in-progress / today game does NOT settle (final-honesty guard)', async () => {
// Graded today, ESPN returns a row whose ET date is TODAY → never settle it.
const gradedToday = '2026-07-13T14:00:00.000Z'; // 10am ET Jul 13
const todaysGame = '2026-07-13T23:00:00.000+00:00'; // 7pm ET Jul 13 (in progress)
const g = grade({ stat: 'points', line: 19.5, side: 'over', grade: 'A' });
g.gradedAt.timestamp = gradedToday;
const cache = memCache({ 'snapshot:wnba:latest': { sport: 'wnba', updated_at: gradedToday, grades: [g] } });
const getPlayerStats = async () => espnLog({ points: 30 }, todaysGame);
const res = await svc.settleSnapshot('wnba', { ...cache, getPlayerStats, now: () => NOW });
expect(res.settled).toBe(0);
expect(res.pending).toBe(1);
});
test('offline ESPN (found:false) → pending, never throws', async () => {
const cache = memCache({ 'snapshot:nba:latest': snapshot('nba', [grade()]) });
const res = await svc.settleSnapshot('nba', { ...cache, getPlayerStats: async () => ({ found: false }), now: () => NOW });
expect(res.settled).toBe(0);
expect(res.pending).toBe(1);
});
});
describe('ledgerService.settleLedger — WNBA settles vs the ESPN game log', () => {
// Minimal chainable Supabase stub (same shape as ledgerService.test.js).
function fakeSb() {
const calls = { updates: [] };
const state = { selectResults: [], selectCursor: 0, countResult: 0 };
function builder() {
const b = {
_update: null,
upsert() { return Promise.resolve({ error: null }); },
update(v) { b._update = v; return b; },
select() { return b; }, eq() { return b; }, is() { return b; },
not() { return b; }, lt() { return b; }, gte() { return b; }, gt() { return b; }, order() { return b; },
in(col, ids) {
if (b._update) { calls.updates.push({ values: b._update, ids }); return Promise.resolve({ error: null }); }
return terminal();
},
limit() { return terminal(); },
then(res, rej) { return terminal().then(res, rej); },
};
function terminal() {
if (b._update) { calls.updates.push({ values: b._update }); return Promise.resolve({ error: null }); }
const data = state.selectResults[state.selectCursor] ?? [];
state.selectCursor += 1;
return Promise.resolve({ data, error: null, count: state.countResult });
}
return b;
}
return { from: () => builder(), _calls: calls, _state: state };
}
test('settles a WNBA row (points) via the ESPN gamelog ET-date match', async () => {
const sb = fakeSb();
sb._state.selectResults = [
[{ id: 'r1' }],
[{ id: 'r1', player_name: "A'ja Wilson", stat: 'points', line: 19.5, side: 'over', closing_line: 19.5, game_date: '2026-07-12' }],
];
// ESPN ISO date normalizes to ET 2026-07-12 → matches game_date.
const getPlayerStats = async () => espnLog({ points: 24 });
const res = await ledger.settleLedger('wnba', { sb, getPlayerStats, now: () => NOW, beforeDate: '2026-07-13' });
expect(res.settled).toBe(1);
expect(sb._calls.updates[0].values).toMatchObject({ outcome: 'hit', actual_value: 24, clv: 0, clv_result: 'flat' });
});
test('by_tier populates for WNBA settled rows (records need no new plumbing)', async () => {
const sb = fakeSb();
const rows = [
...Array.from({ length: 14 }, () => ({ outcome: 'hit', clv_result: null, grade: 'A' })),
...Array.from({ length: 6 }, () => ({ outcome: 'miss', clv_result: null, grade: 'A-' })),
];
sb._state.selectResults = [rows];
sb._state.countResult = 0;
// by_tier is sport-agnostic: once WNBA rows carry an outcome + grade they
// flow into the SAME calibration buckets the MLB path uses (no new plumbing).
const agg = await ledger.getModelAggregate({ sb });
expect(agg.by_tier.A.settled).toBe(20);
expect(agg.by_tier.A.hit_pct).toBe(70);
});
});