/**
 * NOTE ON `engine_grade` (2026-08-07 grade cutover).
 *
 * The user-facing `grade` now derives from `p_win`, not engine1's additive
 * factor index -- that index carried 0.16x the information of p_win on 3,417
 * settled props and its A hit worse than its F. The engine's OWN decision
 * (graded vs suppressed) is preserved as `engine_grade`, so behaviour
 * assertions read that; suppression assertions still read `grade`, since a
 * suppressed prop has no letter either way.
 */
// Fix 2 (Session 7f) — verifies the end-to-end shape from
// computeFeaturesForProp → engine1 → adapter → concrete reasoning.

const mockComputeReturn = { current: null };
jest.mock('../../src/services/intelligence/computeFeatures', () => ({
  computeFeaturesForProp: async () => mockComputeReturn.current,
}));

const mockEngine1Return = { current: null };
jest.mock('../../src/services/intelligence/engine1', () => ({
  gradeProp: () => mockEngine1Return.current,
}));

const { analyzeViaEngine1 } = require('../../src/services/intelligence/analyzeViaEngine1');

beforeEach(() => {
  mockComputeReturn.current = null;
  mockEngine1Return.current = null;
});

describe('analyzeViaEngine1 — happy path', () => {
  test('produces the full legacy shape with concrete numbers', async () => {
    mockComputeReturn.current = {
      features: {
        l5_avg: 28.4, l20_avg: 26.1, home_away: 1.0,
        opp_rank_stat: 0.82, rest_days: 2,
      },
      trap: { composite: 0.1, signals: {}, recommendation: 'proceed' },
      consistency: { consistency: 'reliable', cv: 0.18, score: 0.7, games: 20 },
      prop: { line: 25.5, direction: 'over' },
      meta: {
        player: 'Jalen Brunson', statType: 'points', line: 25.5,
        direction: 'over', book: 'draftkings', sport: 'nba',
        teamAbbr: 'NYK', opponentAbbr: 'BOS', gameId: 'ev-1',
        isHome: true, gameLogs: [{ points: 28 }], errors: [],
      },
    };
    mockEngine1Return.current = {
      grade: 'A-', confidence: 0.78,
      top_factors: ['l5_hot_vs_line', 'weak_opponent_defense', 'home_game'],
      all_factors: ['l5_hot_vs_line', 'weak_opponent_defense', 'home_game', 'rested_2plus'],
    };

    const out = await analyzeViaEngine1({
      player: 'Jalen Brunson', stat_type: 'points', line: 25.5, direction: 'over', book: 'draftkings', sport: 'nba',
    });

    // Adapter-collapsed grade.
    expect(out.engine_grade).toBe('A');
    // Confidence now derives from p_win (0.95 -> 95), not from a grade-band
    // midpoint of the old letter. The old 78 was the midpoint for engine1's "A"
    // -- a number that carried no information beyond the letter it was looked up
    // from, and which would now contradict the served B+.
    expect(out.confidence).toBe(95);
    expect(out.confidence_basis).toBe('p_win');
    expect(out.player).toBe('Jalen Brunson');
    expect(out.stat_type).toBe('points');
    expect(out.line).toBe(25.5);
    expect(out.direction).toBe('over');
    expect(out.book).toBe('draftkings');

    // Reasoning has concrete numbers, not abstract factor labels.
    expect(out.reasoning.summary).toContain('28.4');
    expect(out.reasoning.summary).toContain('26.1');
    expect(out.reasoning.summary).toContain('Jalen Brunson');
    expect(out.reasoning.summary).toContain('BOS');
    expect(out.reasoning.summary).toContain('Engine 1 graded A-');

    // Legacy-shaped steps object — named sub-blocks for backward compat
    // with the analyze integration test, plus a `narrative` array for
    // the line-by-line breakdown.
    expect(typeof out.reasoning.steps).toBe('object');
    expect(out.reasoning.steps).toHaveProperty('season_avg');
    expect(out.reasoning.steps).toHaveProperty('recent_form');
    expect(out.reasoning.steps).toHaveProperty('situational');
    expect(out.reasoning.steps).toHaveProperty('final_grade');
    expect(Array.isArray(out.reasoning.steps.narrative)).toBe(true);
    expect(out.reasoning.steps.narrative.length).toBeGreaterThan(0);
    expect(out.reasoning.steps.narrative[0]).toHaveProperty('step');
    expect(out.reasoning.steps.narrative[0]).toHaveProperty('detail');
    // Real numbers in the sub-blocks.
    expect(out.reasoning.steps.season_avg.value).toBe(26.1);
    expect(out.reasoning.steps.recent_form.value).toBe(28.4);

    // edge_pct computed from l5_avg vs line.
    // (28.4 - 25.5) / 25.5 * 100 = ~11.4
    expect(out.edge_pct).toBeCloseTo(11.4, 1);

    expect(Array.isArray(out.kill_conditions_triggered)).toBe(true);
  });

  test('away game + strong defense + back-to-back surfaces in reasoning', async () => {
    mockComputeReturn.current = {
      features: { l5_avg: 18, l20_avg: 22, home_away: 0.0, opp_rank_stat: 0.15, rest_days: 0 },
      trap: { composite: 0.6, signals: {} },
      consistency: { consistency: 'reliable', score: 0.7 },
      prop: { line: 24.5, direction: 'over' },
      meta: { player: 'P', statType: 'points', book: 'dk', sport: 'nba',
              teamAbbr: 'X', opponentAbbr: 'OKC', gameId: 'g', isHome: false,
              gameLogs: [{ points: 20 }], errors: [] },
    };
    mockEngine1Return.current = {
      grade: 'D', confidence: 0.2,
      top_factors: ['l5_cold_vs_line', 'top_opponent_defense', 'back_to_back'],
      all_factors: ['l5_cold_vs_line', 'top_opponent_defense', 'back_to_back'],
    };

    const out = await analyzeViaEngine1({
      player: 'P', stat_type: 'points', line: 24.5, direction: 'over', sport: 'nba',
    });

    expect(out.engine_grade).toBe('D');
    expect(out.reasoning.summary).toContain('Playing on the road');
    expect(out.reasoning.summary).toContain('OKC');
    expect(out.reasoning.summary).toContain('top-tier defense');
    expect(out.reasoning.summary).toContain('Back-to-back');
    expect(out.reasoning.summary).toContain('leans against the play');
  });
});

describe('analyzeViaEngine1 — graceful degradation', () => {
  test('hard fallback when everything failed (no features, no logs, no consistency)', async () => {
    mockComputeReturn.current = {
      features: {},
      trap: { composite: 0, signals: {} },
      consistency: { consistency: 'unknown', score: null, games: 0 },
      prop: { line: 25, direction: 'over' },
      meta: { player: 'Ghost', statType: 'points', book: 'dk', sport: 'nba',
              teamAbbr: null, opponentAbbr: null, gameId: null, isHome: null,
              gameLogs: [], errors: ['player_not_found_in_id_map', 'no_game_scheduled_today'] },
    };

    const out = await analyzeViaEngine1({
      player: 'Ghost', stat_type: 'points', line: 25, direction: 'over', sport: 'nba',
    });

    // Session 58 (work-order 1.5) — this used to ship a hollow C at 10%
    // confidence (the audit's model==line degenerate). Now it REFUSES.
    expect(out.grade).toBeNull();
    expect(out.insufficient_data).toBe(true);
    expect(out.confidence).toBe(0);
    expect(out.projection).toBeNull();
    expect(out.reasoning.summary).toMatch(/INSUFFICIENT DATA — no read/);
    expect(out.reasoning.summary).toContain("couldn't find");
    expect(out.kill_conditions_triggered).toEqual([]);
  });

  test('partial data WITHOUT a projection refuses honestly (no hollow grade)', async () => {
    mockComputeReturn.current = {
      features: {},
      trap: { composite: 0, signals: {} },
      consistency: { consistency: 'reliable', cv: 0.2, score: 0.7, games: 20 },
      prop: { line: 25, direction: 'over' },
      meta: { player: 'P', statType: 'points', book: 'dk', sport: 'nba',
              teamAbbr: 'NYK', opponentAbbr: null, gameId: null, isHome: null,
              gameLogs: [{ points: 25 }], errors: ['no_game_scheduled_today'] },
    };
    mockEngine1Return.current = {
      grade: 'C', confidence: 0.4,
      top_factors: [], all_factors: [],
    };

    const out = await analyzeViaEngine1({
      player: 'P', stat_type: 'points', line: 25, direction: 'over', sport: 'nba',
    });

    // No l5/l20 reference ⇒ the model has no projection ⇒ no read. The old
    // behavior graded C/40 here — a grade the model couldn't actually back.
    expect(out.grade).toBeNull();
    expect(out.insufficient_data).toBe(true);
    expect(out.reasoning.summary).toContain('No game scheduled');
  });

  test('a projection unlocks the grade AND is attached to the result', async () => {
    mockComputeReturn.current = {
      features: { l5_avg: 28.4, l20_avg: 26.1 },
      trap: { composite: 0, signals: {} },
      consistency: { consistency: 'reliable', cv: 0.2, score: 0.7, games: 20 },
      prop: { line: 25, direction: 'over' },
      meta: { player: 'P', statType: 'points', book: 'dk', sport: 'nba',
              teamAbbr: 'NYK', opponentAbbr: null, gameId: null, isHome: null,
              gameLogs: [{ points: 25 }], errors: [] },
    };
    mockEngine1Return.current = {
      grade: 'B', confidence: 0.6,
      top_factors: [], all_factors: [],
    };

    const out = await analyzeViaEngine1({
      player: 'P', stat_type: 'points', line: 25, direction: 'over', sport: 'nba',
    });

    expect(out.engine_grade).toBe('B');
    expect(out.insufficient_data).toBeUndefined();
    expect(out.projection).toBe(28.4); // the REAL model reference, never the line
  });
});

describe('analyzeViaEngine1 — interface verifications', () => {
  test('does not throw when computeFeaturesForProp resolves with errors', async () => {
    mockComputeReturn.current = {
      features: { l5_avg: 20 },
      trap: { composite: 0, signals: {} },
      consistency: { consistency: 'unknown', score: null, games: 0 },
      prop: { line: 25, direction: 'over' },
      meta: { sport: 'nba', errors: ['no_features_computed'] },
    };
    mockEngine1Return.current = { grade: 'C', confidence: 0.3, top_factors: [], all_factors: [] };
    const out = await analyzeViaEngine1({
      player: 'X', stat_type: 'points', line: 25, direction: 'over', sport: 'nba',
    });
    expect(out).toBeDefined();
    expect(out.engine_grade).toBeDefined();
  });

  test('every legacy field DemoScan reads is present', async () => {
    mockComputeReturn.current = {
      features: { l5_avg: 28 },
      trap: { composite: 0, signals: {} },
      consistency: { consistency: 'reliable', score: 0.7 },
      prop: { line: 25, direction: 'over' },
      meta: { sport: 'nba', errors: [] },
    };
    mockEngine1Return.current = { grade: 'A-', confidence: 0.7, top_factors: ['x'], all_factors: ['x'] };
    const out = await analyzeViaEngine1({
      player: 'X', stat_type: 'points', line: 25, direction: 'over', sport: 'nba',
    });
    // DemoScan reads: grade, confidence, reasoning.summary,
    // kill_conditions_triggered[].code, edge_pct, line, player, stat_type.
    expect(out.engine_grade).toBeDefined();
    expect(typeof out.confidence).toBe('number');
    expect(typeof out.reasoning.summary).toBe('string');
    expect(Array.isArray(out.kill_conditions_triggered)).toBe(true);
    expect(typeof out.edge_pct).toBe('number');
    expect(out.player).toBeDefined();
    expect(out.stat_type).toBeDefined();
    expect(out.line).toBeDefined();
  });

  test('does not import from legacy path (no propAnalyzer/grader/UnifiedOddsProvider)', () => {
    const fs = require('fs');
    const src = fs.readFileSync(require.resolve('../../src/services/intelligence/analyzeViaEngine1.js'), 'utf8');
    expect(src).not.toMatch(/propAnalyzer/);
    expect(src).not.toMatch(/require.*['"]\.\.\/grader/);
    expect(src).not.toMatch(/UnifiedOddsProvider/);
  });
});