builtbykev
80683e71b4
P0 fixes + wiring real data into the S42 Player Intelligence architecture. - P0 dropdown z-index: the nav's backdrop-filter stacking context let the Ticker/HeartbeatBar paint over the avatar/More dropdowns and eat clicks. nav now position:relative zIndex:2; menus zIndex:100. Avatar Settings -> /settings. - Real MLB stats: mlbStatsAdapter.searchPlayer + getPlayerStats (name->id-> season+gamelog). playerIntelService.resolvePlayerStats normalizes into the archetype classifier; getPlayerIntel returns found:true + real season + archetype classified from real stats. NBA via nbaStatsClient (degrades). - Game cards: slateAdapter.groupPropsByPlayer (playerStrips, name once) + mapPitchers (MLB probables), folded into mapScheduleToGameCards. Legacy GameCard line grid renders BookChip (brand colors) not grey text. - Grade card intel: analyzeViaEngine1.buildIntelFields computes stat-context + form/usage/matchup/rest from the existing feature vector (zero extra I/O); gradeAdapter lights up the card sections. Archetype deferred (needs season line at grade time). - Depth chart foundation: depthChartService (getLineup/getDepthChart/ getCascadeProjection) + /api/stats/lineup|depth|cascade, graceful + injectable. - Mobile: player hero name overflow-wrap + 24px on <=640px (was clipping). Backend 2011 -> 2045 tests (+34), 163 suites. Web build clean (exit 0). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
52 lines
2.2 KiB
JavaScript
52 lines
2.2 KiB
JavaScript
// Session 43 — engine attaches grade-card intelligence fields (stat context +
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// VYNDR intelligence) from the feature vector, and gradeAdapter maps them.
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const { __internals } = require('../../src/services/intelligence/analyzeViaEngine1');
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const { buildIntelFields, computeFormScore, matchupGradeFromRank } = __internals;
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const { mapScanToGradeResult } = require('../../web/src/lib/gradeAdapter');
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describe('computeFormScore', () => {
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it('trends above 70 when recent > baseline (hot)', () => {
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expect(computeFormScore({ l5_avg: 30, l20_avg: 24 })).toBeGreaterThan(70);
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});
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it('trends below 70 when recent < baseline (cold)', () => {
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expect(computeFormScore({ l5_avg: 18, l20_avg: 26 })).toBeLessThan(70);
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});
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it('undefined when there is no recent average', () => {
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expect(computeFormScore({})).toBeUndefined();
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});
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});
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describe('matchupGradeFromRank', () => {
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it('maps normalized opponent rank to a letter grade', () => {
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expect(matchupGradeFromRank(0.9)).toBe('A');
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expect(matchupGradeFromRank(0.55)).toBe('B+');
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expect(matchupGradeFromRank(0.1)).toBe('C');
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expect(matchupGradeFromRank(undefined)).toBeUndefined();
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});
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});
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describe('buildIntelFields', () => {
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it('builds stat context + form/usage/matchup/rest from features', () => {
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const f = buildIntelFields({ l20_avg: 26.9, l10_avg: 28.4, l5_avg: 30.1, usage_rate: 31.2, opp_rank_stat: 0.7, rest_days: 2 });
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expect(f.season_avg).toBe(26.9);
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expect(f.last10_avg).toBe(28.4);
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expect(f.form).toBeGreaterThan(70);
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expect(f.usage).toBe('31.2%');
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expect(f.matchup_grade).toBe('A');
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expect(f.rest).toBe('2d rest');
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});
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it('omits fields with no data (so the card sections self-hide)', () => {
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expect(buildIntelFields({})).toEqual({});
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});
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it('feeds straight into the grade card via gradeAdapter', () => {
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const engineLike = { player: 'Wemby', stat: 'points', line: 26.5, grade: 'A', ...buildIntelFields({ l20_avg: 26.9, l10_avg: 28.4, l5_avg: 30, usage_rate: 31.2, opp_rank_stat: 0.7 }) };
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const card = mapScanToGradeResult(engineLike);
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expect(card.statContext).toMatchObject({ season: '26.9', last10: '28.4' });
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expect(card.vyndrIntel.matchup).toBe('A');
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expect(card.vyndrIntel.usage).toBe('31.2%');
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});
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});
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