vyndr/src/services/propAnalyzer.js

const { getOdds } = require('./oddsService');
const nbaStats = require('./nbaStatsClient');
const { evaluateKillConditions } = require('./killConditions');
const { computeGrade } = require('./grader');
const { deltaToSignal, directedDelta } = require('../utils/signals');

async function analyzeProp({ player, stat_type, line, direction, book }) {
  // Fetch all data in parallel
  const [oddsResult, seasonAvg, lastN, homeAwaySplit, restSplit] = await Promise.all([
    getOdds('nba'),
    nbaStats.getSeasonAvg(player),
    nbaStats.getLastN(player, 10),
    nbaStats.getSplits(player, stat_type, 'home_away'),
    nbaStats.getSplits(player, stat_type, 'rest_days'),
  ]);

  // Determine opponent from odds data
  const playerProps = oddsResult.props.filter(
    (p) => p.player.toLowerCase().includes(player.toLowerCase()) && p.stat_type === stat_type
  );

  let opponent = null;
  let isHome = null;
  if (playerProps.length > 0) {
    const prop = playerProps[0];
    // We have home_team and away_team but don't know which the player belongs to
    // Use NBA stats team to determine
    const playerTeam = seasonAvg?.team;
    if (playerTeam) {
      if (playerTeam === prop.home_team) {
        isHome = true;
        opponent = prop.away_team;
      } else if (playerTeam === prop.away_team) {
        isHome = false;
        opponent = prop.home_team;
      }
    }
  }

  // Fetch vs-opponent split if we know the opponent
  let vsOpponentSplit = null;
  if (opponent) {
    try {
      vsOpponentSplit = await nbaStats.getSplits(player, stat_type, 'vs_team', opponent);
    } catch (_) {
      // No opponent data available
    }
  }

  // Find game spread
  let spread = null;
  if (oddsResult.spreads && oddsResult.spreads.length > 0) {
    const gameSpread = oddsResult.spreads.find((s) => {
      const playerTeam = seasonAvg?.team;
      return playerTeam && (s.home_team === playerTeam || s.away_team === playerTeam);
    });
    if (gameSpread) {
      // home_spread is from the home team's perspective
      const playerTeam = seasonAvg?.team;
      if (playerTeam === gameSpread.home_team) {
        spread = gameSpread.home_spread;
      } else {
        spread = -gameSpread.home_spread;
      }
    }
  }

  const seasonStatVal = seasonAvg?.stats?.[stat_type];
  const recentStatVal = lastN?.stats?.[stat_type];

  // Step 1: Season average compare
  const seasonDelta = seasonStatVal != null ? directedDelta(seasonStatVal, line, direction) : 0;
  const seasonSignal = deltaToSignal(seasonDelta);

  // Step 2: Recent form (last 10)
  const recentDelta = recentStatVal != null ? directedDelta(recentStatVal, line, direction) : 0;
  const recentSignal = deltaToSignal(recentDelta);

  // Step 3: Situational factors
  const homeAwayData = homeAwaySplit?.splits;
  let situationalAvg = null;
  let homeAwaySignal = 'neutral';
  let homeAwayContext = null;
  if (homeAwayData && isHome != null) {
    const relevantSplit = isHome ? homeAwayData.home : homeAwayData.away;
    if (relevantSplit) {
      situationalAvg = relevantSplit.avg;
      homeAwayContext = isHome ? 'home' : 'away';
      homeAwaySignal = deltaToSignal(directedDelta(relevantSplit.avg, line, direction));
    }
  }

  // Rest days / B2B
  const restData = restSplit?.splits;
  let restSignal = 'neutral';
  let restContext = null;
  let restAvg = null;
  let isB2B = false;
  if (restData) {
    // Determine current rest status from last game date in lastN
    // For now, use overall rest data — B2B detection would need schedule info
    // Use the b2b split if games > 0 as an indicator
    if (restData.b2b && restData.b2b.games > 0) {
      restAvg = restData.b2b.avg;
      restContext = 'b2b';
      // Check if current game is B2B (heuristic: if b2b games exist, flag it)
      // True B2B detection needs schedule — we'll flag when b2b avg is significantly different
      isB2B = false; // Conservative: only flag if we can confirm
    }
    if (restData['1_day_rest'] && restData['1_day_rest'].games > 0 && !restAvg) {
      restAvg = restData['1_day_rest'].avg;
      restContext = '1_day_rest';
    }
    if (restAvg != null) {
      restSignal = deltaToSignal(directedDelta(restAvg, line, direction));
    }
  }

  // Vs opponent
  let vsOpponentSignal = 'neutral';
  let vsOpponentAvg = null;
  let vsOpponentGames = 0;
  if (vsOpponentSplit?.splits?.vs_opponent) {
    vsOpponentAvg = vsOpponentSplit.splits.vs_opponent.avg;
    vsOpponentGames = vsOpponentSplit.splits.vs_opponent.games;
    vsOpponentSignal = deltaToSignal(directedDelta(vsOpponentAvg, line, direction));
  }

  // Step 4: Cross-book line comparison
  const allLines = playerProps.map((p) => ({ book: p.book, line: p.line }));
  // Also check grouped props from odds response (they may be grouped by player)
  let bestLine = null;
  let worstLine = null;
  let lineEdge = 0;
  if (allLines.length > 0) {
    if (direction === 'over') {
      // For over, lowest line is best
      bestLine = allLines.reduce((a, b) => (a.line < b.line ? a : b));
      worstLine = allLines.reduce((a, b) => (a.line > b.line ? a : b));
    } else {
      // For under, highest line is best
      bestLine = allLines.reduce((a, b) => (a.line > b.line ? a : b));
      worstLine = allLines.reduce((a, b) => (a.line < b.line ? a : b));
    }
    lineEdge = Math.abs(bestLine.line - worstLine.line);
  }
  const lineSignal = deltaToSignal(lineEdge);

  // Compute situational delta (weighted average of available splits)
  const sitDeltas = [];
  if (situationalAvg != null) sitDeltas.push(directedDelta(situationalAvg, line, direction));
  if (restAvg != null) sitDeltas.push(directedDelta(restAvg, line, direction));
  if (vsOpponentAvg != null) sitDeltas.push(directedDelta(vsOpponentAvg, line, direction));
  const situationalDelta = sitDeltas.length > 0
    ? sitDeltas.reduce((a, b) => a + b, 0) / sitDeltas.length
    : 0;

  // Step 5: Kill conditions
  const killConditions = evaluateKillConditions({
    seasonStats: seasonAvg?.stats,
    recentStats: recentStatVal != null ? { value: recentStatVal } : null,
    homeAwaySplit: situationalAvg != null ? { avg: situationalAvg } : null,
    restSplit: { isB2B },
    vsOpponentSplit: vsOpponentAvg != null ? { games: vsOpponentGames } : null,
    spread,
  });

  // Step 6: Grade
  const seasonAndRecentAgree = (seasonDelta > 0 && recentDelta > 0) || (seasonDelta < 0 && recentDelta < 0);
  const { grade, confidence, composite } = computeGrade({
    seasonDelta,
    recentDelta,
    situationalDelta,
    lineEdge,
    killConditions,
    gamesPlayed: seasonAvg?.stats?.games_played || 0,
    seasonAndRecentAgree: seasonDelta !== 0 && recentDelta !== 0 ? seasonAndRecentAgree : null,
  });

  // Edge percentage
  const relevantAvg = recentStatVal || seasonStatVal || line;
  const edgePct = direction === 'over'
    ? Math.round(((relevantAvg - line) / line) * 1000) / 10
    : Math.round(((line - relevantAvg) / line) * 1000) / 10;

  // Build reasoning summary
  const parts = [];
  if (seasonStatVal != null) parts.push(`${player} averages ${seasonStatVal} on the season`);
  if (recentStatVal != null && recentStatVal !== seasonStatVal) parts.push(`${recentStatVal} over his last 10`);
  if (homeAwayContext && situationalAvg != null) parts.push(`${situationalAvg} ${homeAwayContext === 'home' ? 'at home' : 'on the road'}`);
  if (vsOpponentAvg != null && opponent) parts.push(`${vsOpponentAvg} vs ${opponent} (${vsOpponentGames} games)`);
  if (killConditions.length > 0) parts.push(`Kill conditions: ${killConditions.map((k) => k.code).join(', ')}`);
  if (killConditions.length === 0) parts.push('No kill conditions');

  return {
    player,
    stat_type,
    line,
    direction,
    book,
    grade,
    edge_pct: edgePct,
    confidence,
    kill_conditions_triggered: killConditions,
    reasoning: {
      summary: parts.join('. ') + '.',
      steps: {
        season_avg: {
          value: seasonStatVal ?? null,
          vs_line: seasonStatVal != null ? Math.round((seasonStatVal - line) * 10) / 10 : null,
          signal: seasonSignal,
        },
        recent_form: {
          value: recentStatVal ?? null,
          vs_line: recentStatVal != null ? Math.round((recentStatVal - line) * 10) / 10 : null,
          signal: recentSignal,
        },
        situational: {
          home_away: {
            value: situationalAvg,
            context: homeAwayContext,
            signal: homeAwaySignal,
          },
          rest_days: {
            value: restAvg,
            context: restContext,
            signal: restSignal,
          },
          vs_opponent: {
            value: vsOpponentAvg,
            games: vsOpponentGames,
            signal: vsOpponentSignal,
          },
        },
        line_comparison: {
          best_line: bestLine,
          worst_line: worstLine,
          edge_from_best: lineEdge,
          signal: lineSignal,
        },
        kill_conditions: killConditions,
        final_grade: grade,
      },
    },
  };
}

module.exports = { analyzeProp };