9fc4edf3a9
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>
204 lines
10 KiB
JavaScript
204 lines
10 KiB
JavaScript
// Wave 1 (truth-everywhere-train) — NBA/WNBA settlement.
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// Locks that once a basketball grade exists, it settles against the FREE ESPN
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// per-game log (espnStatsAdapter.getPlayerGameLog), records populate, the run
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// is idempotent, and an unplayed/in-progress game NEVER settles. Zero network.
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const svc = require('../../src/services/outcomeService');
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const ledger = require('../../src/services/ledgerService');
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const { statValue, nbaStatValue, logRowOnDate } = svc.__internals;
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// ---- in-memory Redis (same helper shape as outcomeService.test.js) --------
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function memCache(seed = {}) {
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const store = { ...seed };
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return {
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store,
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cacheGet: async (k) => (k in store ? store[k] : null),
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cacheSet: async (k, v) => { store[k] = v; return true; },
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};
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}
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// ESPN gamelog rows carry a FULL ISO timestamp (a late tip is 00:xxZ the next
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// UTC day) — the exact shape Wave 0's getPlayerGameLog returns.
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const NOW = '2026-07-13T15:00:00.000Z'; // 11am ET Jul 13 = "today"
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const GRADED_TS = '2026-07-12T23:30:00.000Z'; // 7:30pm ET Jul 12 (locked pre-game)
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const GAME_ISO = '2026-07-13T01:00:00.000+00:00'; // 9pm ET Jul 12 → ET date Jul 12
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function snapshot(sport, grades) { return { sport, updated_at: GRADED_TS, grades }; }
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function grade(over = {}) {
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return {
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player: over.player || "A'ja Wilson",
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stat_type: over.stat || 'points',
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line: over.line != null ? over.line : 19.5,
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direction: over.side || 'over',
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grade: over.grade || 'A',
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gradedAt: { line: over.line != null ? over.line : 19.5, odds: -115, timestamp: GRADED_TS },
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};
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}
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// espnStatsAdapter.getPlayerGameLog fixture: { found, id, last10:[{date, stat}] }
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function espnLog(statObj, dateIso = GAME_ISO) {
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return { found: true, id: '3149391', last10: [{ date: dateIso, opponent: 'IND', isHome: true, stat: statObj }] };
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}
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describe('statValue — sport-aware (NBA/WNBA box keys, S11 three-map-split kept)', () => {
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test('MLB path unchanged when sport unspecified/mlb', () => {
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expect(statValue({ homeRuns: 1 }, 'home_runs')).toBe(1);
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expect(statValue({ homeRuns: 1 }, 'home_runs', 'mlb')).toBe(1);
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});
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test('NBA/WNBA simple stats read the ESPN box object', () => {
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const box = { points: 24, rebounds: 12, assists: 3, threes: 2, steals: 1, blocks: 1, turnovers: 4 };
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expect(statValue(box, 'points', 'wnba')).toBe(24);
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expect(statValue(box, 'rebounds', 'nba')).toBe(12);
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expect(statValue(box, 'threes', 'wnba')).toBe(2);
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expect(statValue(box, 'turnovers', 'nba')).toBe(4);
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});
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test('combo stat_types sum their components (pts_reb_ast, reb_ast, stl_blk)', () => {
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const box = { points: 20, rebounds: 12, assists: 2, steals: 1, blocks: 3 };
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expect(nbaStatValue(box, 'pts_reb_ast')).toBe(34);
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expect(nbaStatValue(box, 'pts_reb')).toBe(32);
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expect(nbaStatValue(box, 'reb_ast')).toBe(14);
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expect(nbaStatValue(box, 'stl_blk')).toBe(4);
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});
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test('a combo with a missing component never fabricates a total', () => {
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expect(nbaStatValue({ points: 20, rebounds: 12 }, 'pts_reb_ast')).toBeNull();
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});
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test('an unmapped NBA stat is unsettleable (absent beats a fabricated outcome)', () => {
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expect(statValue({ points: 20 }, 'double_doubles', 'wnba')).toBeNull();
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});
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});
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describe('logRowOnDate — ESPN ISO date normalized to UTC+ET', () => {
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test('MLB rows exact-compare YYYY-MM-DD (unchanged)', () => {
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expect(logRowOnDate({ date: '2026-07-09' }, '2026-07-09', 'mlb')).toBe(true);
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expect(logRowOnDate({ date: '2026-07-09' }, '2026-07-08', 'mlb')).toBe(false);
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});
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test('NBA/WNBA ISO row matches its ET date (late tip rolled past UTC midnight)', () => {
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expect(logRowOnDate({ date: GAME_ISO }, '2026-07-12', 'wnba')).toBe(true); // ET
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expect(logRowOnDate({ date: GAME_ISO }, '2026-07-13', 'nba')).toBe(true); // UTC
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expect(logRowOnDate({ date: GAME_ISO }, '2026-07-11', 'wnba')).toBe(false);
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});
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});
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describe('settleSnapshot — WNBA grades settle vs the real ESPN game log', () => {
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test('a locked WNBA over settles to a hit and populates accuracy:wnba + byGrade', async () => {
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const cache = memCache({ 'snapshot:wnba:latest': snapshot('wnba', [grade({ stat: 'points', line: 19.5, side: 'over', grade: 'A' })]) });
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const getPlayerStats = async () => espnLog({ points: 24, rebounds: 12, assists: 3 });
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const res = await svc.settleSnapshot('wnba', { ...cache, getPlayerStats, now: () => NOW });
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expect(res.settled).toBe(1);
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expect(res.log[0]).toMatchObject({ result: 'hit', actual: 24, grade: 'A', side: 'O' });
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expect(cache.store['accuracy:wnba'].byGrade['A'].hits).toBe(1);
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expect(cache.store['accuracy:wnba'].overall.pct).toBe(100);
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});
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test('settles a miss (under, actual above line)', async () => {
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const cache = memCache({ 'snapshot:wnba:latest': snapshot('wnba', [grade({ stat: 'points', line: 19.5, side: 'under', grade: 'B' })]) });
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const getPlayerStats = async () => espnLog({ points: 24 });
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const res = await svc.settleSnapshot('wnba', { ...cache, getPlayerStats, now: () => NOW });
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expect(res.log[0].result).toBe('miss');
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expect(cache.store['accuracy:wnba'].byGrade['B'].misses).toBe(1);
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});
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test('settles a push (actual equals line)', async () => {
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const cache = memCache({ 'snapshot:wnba:latest': snapshot('wnba', [grade({ stat: 'points', line: 24, side: 'over', grade: 'C' })]) });
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const getPlayerStats = async () => espnLog({ points: 24 });
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const res = await svc.settleSnapshot('wnba', { ...cache, getPlayerStats, now: () => NOW });
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expect(res.log[0].result).toBe('push');
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});
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test('a combo prop (pts_reb_ast) settles', async () => {
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const cache = memCache({ 'snapshot:wnba:latest': snapshot('wnba', [grade({ stat: 'pts_reb_ast', line: 29.5, side: 'over', grade: 'A' })]) });
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const getPlayerStats = async () => espnLog({ points: 20, rebounds: 12, assists: 2 }); // 34
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const res = await svc.settleSnapshot('wnba', { ...cache, getPlayerStats, now: () => NOW });
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expect(res.settled).toBe(1);
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expect(res.log[0]).toMatchObject({ result: 'hit', actual: 34, stat: 'pts_reb_ast' });
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});
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test('idempotent — a second run does not double-count', async () => {
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const cache = memCache({ 'snapshot:wnba:latest': snapshot('wnba', [grade({ grade: 'A' })]) });
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const deps = { ...cache, getPlayerStats: async () => espnLog({ points: 24 }), now: () => NOW };
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await svc.settleSnapshot('wnba', deps);
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const res2 = await svc.settleSnapshot('wnba', deps);
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expect(res2.settled).toBe(0);
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expect(res2.log.length).toBe(1);
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expect(cache.store['accuracy:wnba'].overall.total).toBe(1);
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});
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test('an in-progress / today game does NOT settle (final-honesty guard)', async () => {
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// Graded today, ESPN returns a row whose ET date is TODAY → never settle it.
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const gradedToday = '2026-07-13T14:00:00.000Z'; // 10am ET Jul 13
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const todaysGame = '2026-07-13T23:00:00.000+00:00'; // 7pm ET Jul 13 (in progress)
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const g = grade({ stat: 'points', line: 19.5, side: 'over', grade: 'A' });
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g.gradedAt.timestamp = gradedToday;
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const cache = memCache({ 'snapshot:wnba:latest': { sport: 'wnba', updated_at: gradedToday, grades: [g] } });
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const getPlayerStats = async () => espnLog({ points: 30 }, todaysGame);
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const res = await svc.settleSnapshot('wnba', { ...cache, getPlayerStats, now: () => NOW });
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expect(res.settled).toBe(0);
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expect(res.pending).toBe(1);
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});
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test('offline ESPN (found:false) → pending, never throws', async () => {
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const cache = memCache({ 'snapshot:nba:latest': snapshot('nba', [grade()]) });
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const res = await svc.settleSnapshot('nba', { ...cache, getPlayerStats: async () => ({ found: false }), now: () => NOW });
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expect(res.settled).toBe(0);
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expect(res.pending).toBe(1);
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});
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});
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describe('ledgerService.settleLedger — WNBA settles vs the ESPN game log', () => {
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// Minimal chainable Supabase stub (same shape as ledgerService.test.js).
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function fakeSb() {
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const calls = { updates: [] };
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const state = { selectResults: [], selectCursor: 0, countResult: 0 };
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function builder() {
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const b = {
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_update: null,
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upsert() { return Promise.resolve({ error: null }); },
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update(v) { b._update = v; return b; },
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select() { return b; }, eq() { return b; }, is() { return b; },
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not() { return b; }, lt() { return b; }, gte() { return b; }, gt() { return b; }, order() { return b; },
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in(col, ids) {
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if (b._update) { calls.updates.push({ values: b._update, ids }); return Promise.resolve({ error: null }); }
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return terminal();
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},
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limit() { return terminal(); },
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then(res, rej) { return terminal().then(res, rej); },
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};
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function terminal() {
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if (b._update) { calls.updates.push({ values: b._update }); return Promise.resolve({ error: null }); }
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const data = state.selectResults[state.selectCursor] ?? [];
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state.selectCursor += 1;
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return Promise.resolve({ data, error: null, count: state.countResult });
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}
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return b;
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}
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return { from: () => builder(), _calls: calls, _state: state };
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}
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test('settles a WNBA row (points) via the ESPN gamelog ET-date match', async () => {
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const sb = fakeSb();
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sb._state.selectResults = [
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[{ id: 'r1' }],
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[{ id: 'r1', player_name: "A'ja Wilson", stat: 'points', line: 19.5, side: 'over', closing_line: 19.5, game_date: '2026-07-12' }],
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];
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// ESPN ISO date normalizes to ET 2026-07-12 → matches game_date.
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const getPlayerStats = async () => espnLog({ points: 24 });
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const res = await ledger.settleLedger('wnba', { sb, getPlayerStats, now: () => NOW, beforeDate: '2026-07-13' });
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expect(res.settled).toBe(1);
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expect(sb._calls.updates[0].values).toMatchObject({ outcome: 'hit', actual_value: 24, clv: 0, clv_result: 'flat' });
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});
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test('by_tier populates for WNBA settled rows (records need no new plumbing)', async () => {
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const sb = fakeSb();
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const rows = [
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...Array.from({ length: 14 }, () => ({ outcome: 'hit', clv_result: null, grade: 'A' })),
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...Array.from({ length: 6 }, () => ({ outcome: 'miss', clv_result: null, grade: 'A-' })),
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];
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sb._state.selectResults = [rows];
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sb._state.countResult = 0;
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// by_tier is sport-agnostic: once WNBA rows carry an outcome + grade they
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// flow into the SAME calibration buckets the MLB path uses (no new plumbing).
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const agg = await ledger.getModelAggregate({ sb });
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expect(agg.by_tier.A.settled).toBe(20);
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expect(agg.by_tier.A.hit_pct).toBe(70);
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});
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});
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