// Soccer reasoning tests. We mock computeFeaturesForProp so the test // only exercises buildConcreteReasoning's soccer branch + the // downstream toLegacyShape adapter; data layer is out of scope here. const mockComputeFeaturesForProp = jest.fn(); jest.mock('../../src/services/intelligence/computeFeatures', () => ({ computeFeaturesForProp: (...args) => mockComputeFeaturesForProp(...args), })); const { analyzeViaEngine1 } = require('../../src/services/intelligence/analyzeViaEngine1'); function soccerFeatureResult(features = {}, meta = {}) { return { features: { l5_avg: null, l20_avg: null, home_away: null, opp_rank_stat: null, rest_days: null, ...features, }, trap: { composite: 0, signals: {}, active_count: 0, recommendation: 'proceed' }, consistency: { consistency: 'unknown', score: null, games: 0 }, prop: { line: 0.5, direction: 'over' }, meta: { player: 'Test Player', statType: 'goals', line: 0.5, direction: 'over', book: 'unknown', sport: 'soccer', league: 'WC', teamAbbr: 'England', opponentAbbr: 'Brazil', venue: 'MetLife Stadium', referee: null, isHome: true, gameLogs: [], errors: [], ...meta, }, }; } beforeEach(() => { mockComputeFeaturesForProp.mockReset(); }); describe('analyzeViaEngine1 — soccer reasoning', () => { test('uses "matches" language and surfaces goals_per_90', async () => { mockComputeFeaturesForProp.mockResolvedValueOnce(soccerFeatureResult({ goals_per_90: 0.82, })); const result = await analyzeViaEngine1({ player: 'Harry Kane', stat_type: 'goals', line: 0.5, direction: 'over', sport: 'soccer', }); expect(result.reasoning.summary).toMatch(/0\.82 goals per 90 minutes/); // Sanity: no NBA-flavored language. expect(result.reasoning.summary).not.toMatch(/last 5 games/); expect(result.reasoning.summary).not.toMatch(/back-to-back/i); }); test('xG overperformance triggers the regression line', async () => { mockComputeFeaturesForProp.mockResolvedValueOnce(soccerFeatureResult({ goals_per_90: 1.2, xg_per_90: 0.7, xg_delta: 0.71, })); const result = await analyzeViaEngine1({ player: 'Striker', stat_type: 'goals', line: 0.5, direction: 'over', sport: 'soccer', }); expect(result.reasoning.summary).toMatch(/Expected goals \(xG\): 0\.70 per 90/); expect(result.reasoning.summary).toMatch(/overperforming.*regression risk/i); }); test('penalty taker status surfaced when true', async () => { mockComputeFeaturesForProp.mockResolvedValueOnce(soccerFeatureResult({ goals_per_90: 0.5, is_penalty_taker: true, })); const result = await analyzeViaEngine1({ player: 'PK Taker', stat_type: 'goals', line: 0.5, direction: 'over', sport: 'soccer', }); expect(result.reasoning.summary).toMatch(/Designated penalty taker/); }); test('altitude impact surfaces with venue context', async () => { mockComputeFeaturesForProp.mockResolvedValueOnce(soccerFeatureResult({ altitude_impact: 'high', venue_altitude_ft: 7349, home_continent: false, }, { venue: 'Estadio Azteca' })); const result = await analyzeViaEngine1({ player: 'Visitor', stat_type: 'goals', line: 0.5, direction: 'over', sport: 'soccer', }); expect(result.reasoning.summary).toMatch(/7349ft altitude/); expect(result.reasoning.summary).toMatch(/non-acclimatized/i); }); test('low minutes per game triggers the discount note', async () => { mockComputeFeaturesForProp.mockResolvedValueOnce(soccerFeatureResult({ goals_per_90: 0.5, minutes_per_game: 58, })); const result = await analyzeViaEngine1({ player: 'Rotation Player', stat_type: 'goals', line: 0.5, direction: 'over', sport: 'soccer', }); expect(result.reasoning.summary).toMatch(/58 minutes per match/); expect(result.reasoning.summary).toMatch(/line may assume full 90/); }); test('referee card rate surfaces when present', async () => { mockComputeFeaturesForProp.mockResolvedValueOnce(soccerFeatureResult({ referee_cards_per_game: 5.4, referee_name: 'Anthony Taylor', })); const result = await analyzeViaEngine1({ player: 'Anyone', stat_type: 'cards', line: 0.5, direction: 'over', sport: 'soccer', }); expect(result.reasoning.summary).toMatch(/Anthony Taylor averages 5\.4 cards per match/); }); test('soccer path skips NBA-only sentences (no injuries / no back-to-back)', async () => { // Even if soccer features somehow carry an injury_severity_score (they // shouldn't), the soccer branch must not surface it with NBA language. mockComputeFeaturesForProp.mockResolvedValueOnce(soccerFeatureResult({ goals_per_90: 0.5, injury_severity_score: 3, game_count_in_7d: 5, })); const result = await analyzeViaEngine1({ player: 'Player', stat_type: 'goals', line: 0.5, direction: 'over', sport: 'soccer', }); expect(result.reasoning.summary).not.toMatch(/opponent starter\(s\)/i); expect(result.reasoning.summary).not.toMatch(/games in the last week/i); expect(result.reasoning.summary).not.toMatch(/back-to-back/i); }); test('engine1 grade closer still applies on soccer (sport-agnostic)', async () => { mockComputeFeaturesForProp.mockResolvedValueOnce(soccerFeatureResult({ goals_per_90: 1.5, l5_avg: 1.5, l20_avg: 1.2, })); const result = await analyzeViaEngine1({ player: 'Top Scorer', stat_type: 'goals', line: 0.5, direction: 'over', sport: 'soccer', }); // The engine grade line is appended for every sport. expect(result.reasoning.summary).toMatch(/Engine 1 graded/); }); });