Session 7j: Soccer intelligence - 9 leagues, 11 signals, 6 traps, poller, prefetch, 131 new tests (1173 total)
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// Soccer reasoning tests. We mock computeFeaturesForProp so the test
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// only exercises buildConcreteReasoning's soccer branch + the
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// downstream toLegacyShape adapter; data layer is out of scope here.
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const mockComputeFeaturesForProp = jest.fn();
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jest.mock('../../src/services/intelligence/computeFeatures', () => ({
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computeFeaturesForProp: (...args) => mockComputeFeaturesForProp(...args),
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}));
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const { analyzeViaEngine1 } = require('../../src/services/intelligence/analyzeViaEngine1');
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function soccerFeatureResult(features = {}, meta = {}) {
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return {
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features: {
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l5_avg: null,
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l20_avg: null,
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home_away: null,
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opp_rank_stat: null,
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rest_days: null,
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...features,
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},
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trap: { composite: 0, signals: {}, active_count: 0, recommendation: 'proceed' },
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consistency: { consistency: 'unknown', score: null, games: 0 },
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prop: { line: 0.5, direction: 'over' },
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meta: {
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player: 'Test Player', statType: 'goals', line: 0.5, direction: 'over',
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book: 'unknown', sport: 'soccer', league: 'WC',
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teamAbbr: 'England', opponentAbbr: 'Brazil',
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venue: 'MetLife Stadium', referee: null,
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isHome: true, gameLogs: [], errors: [],
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...meta,
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},
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};
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}
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beforeEach(() => {
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mockComputeFeaturesForProp.mockReset();
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});
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describe('analyzeViaEngine1 — soccer reasoning', () => {
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test('uses "matches" language and surfaces goals_per_90', async () => {
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mockComputeFeaturesForProp.mockResolvedValueOnce(soccerFeatureResult({
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goals_per_90: 0.82,
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}));
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const result = await analyzeViaEngine1({
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player: 'Harry Kane', stat_type: 'goals', line: 0.5, direction: 'over', sport: 'soccer',
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});
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expect(result.reasoning.summary).toMatch(/0\.82 goals per 90 minutes/);
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// Sanity: no NBA-flavored language.
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expect(result.reasoning.summary).not.toMatch(/last 5 games/);
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expect(result.reasoning.summary).not.toMatch(/back-to-back/i);
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});
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test('xG overperformance triggers the regression line', async () => {
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mockComputeFeaturesForProp.mockResolvedValueOnce(soccerFeatureResult({
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goals_per_90: 1.2, xg_per_90: 0.7, xg_delta: 0.71,
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}));
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const result = await analyzeViaEngine1({
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player: 'Striker', stat_type: 'goals', line: 0.5, direction: 'over', sport: 'soccer',
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});
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expect(result.reasoning.summary).toMatch(/Expected goals \(xG\): 0\.70 per 90/);
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expect(result.reasoning.summary).toMatch(/overperforming.*regression risk/i);
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});
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test('penalty taker status surfaced when true', async () => {
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mockComputeFeaturesForProp.mockResolvedValueOnce(soccerFeatureResult({
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goals_per_90: 0.5, is_penalty_taker: true,
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}));
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const result = await analyzeViaEngine1({
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player: 'PK Taker', stat_type: 'goals', line: 0.5, direction: 'over', sport: 'soccer',
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});
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expect(result.reasoning.summary).toMatch(/Designated penalty taker/);
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});
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test('altitude impact surfaces with venue context', async () => {
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mockComputeFeaturesForProp.mockResolvedValueOnce(soccerFeatureResult({
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altitude_impact: 'high', venue_altitude_ft: 7349, home_continent: false,
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}, { venue: 'Estadio Azteca' }));
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const result = await analyzeViaEngine1({
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player: 'Visitor', stat_type: 'goals', line: 0.5, direction: 'over', sport: 'soccer',
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});
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expect(result.reasoning.summary).toMatch(/7349ft altitude/);
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expect(result.reasoning.summary).toMatch(/non-acclimatized/i);
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});
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test('low minutes per game triggers the discount note', async () => {
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mockComputeFeaturesForProp.mockResolvedValueOnce(soccerFeatureResult({
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goals_per_90: 0.5, minutes_per_game: 58,
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}));
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const result = await analyzeViaEngine1({
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player: 'Rotation Player', stat_type: 'goals', line: 0.5, direction: 'over', sport: 'soccer',
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});
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expect(result.reasoning.summary).toMatch(/58 minutes per match/);
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expect(result.reasoning.summary).toMatch(/line may assume full 90/);
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});
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test('referee card rate surfaces when present', async () => {
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mockComputeFeaturesForProp.mockResolvedValueOnce(soccerFeatureResult({
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referee_cards_per_game: 5.4, referee_name: 'Anthony Taylor',
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}));
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const result = await analyzeViaEngine1({
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player: 'Anyone', stat_type: 'cards', line: 0.5, direction: 'over', sport: 'soccer',
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});
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expect(result.reasoning.summary).toMatch(/Anthony Taylor averages 5\.4 cards per match/);
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});
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test('soccer path skips NBA-only sentences (no injuries / no back-to-back)', async () => {
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// Even if soccer features somehow carry an injury_severity_score (they
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// shouldn't), the soccer branch must not surface it with NBA language.
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mockComputeFeaturesForProp.mockResolvedValueOnce(soccerFeatureResult({
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goals_per_90: 0.5, injury_severity_score: 3, game_count_in_7d: 5,
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}));
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const result = await analyzeViaEngine1({
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player: 'Player', stat_type: 'goals', line: 0.5, direction: 'over', sport: 'soccer',
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});
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expect(result.reasoning.summary).not.toMatch(/opponent starter\(s\)/i);
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expect(result.reasoning.summary).not.toMatch(/games in the last week/i);
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expect(result.reasoning.summary).not.toMatch(/back-to-back/i);
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});
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test('engine1 grade closer still applies on soccer (sport-agnostic)', async () => {
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mockComputeFeaturesForProp.mockResolvedValueOnce(soccerFeatureResult({
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goals_per_90: 1.5, l5_avg: 1.5, l20_avg: 1.2,
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}));
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const result = await analyzeViaEngine1({
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player: 'Top Scorer', stat_type: 'goals', line: 0.5, direction: 'over', sport: 'soccer',
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});
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// The engine grade line is appended for every sport.
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expect(result.reasoning.summary).toMatch(/Engine 1 graded/);
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});
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});
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