export function ciExpectancy(rValues) {
  const n = rValues.length;
  if (n === 0) return { mean: 0, lo: 0, hi: 0, n: 0 };
  
  const mean = rValues.reduce((a, b) => a + b, 0) / n;
  
  if (n === 1) return { mean, lo: mean, hi: mean, n };

  const variance = rValues.reduce((a, b) => a + Math.pow(b - mean, 2), 0) / (n - 1);
  const sd = Math.sqrt(variance);
  const se = sd / Math.sqrt(n);
  
  return { mean, lo: mean - 1.96 * se, hi: mean + 1.96 * se, n };
}

export function generateResultsTable(testResults) {
  const grades = ['A', 'B', 'C', 'D'];
  const grouped = {
    A: { wins: 0, losses: 0, scratches: 0, rVals: [] },
    B: { wins: 0, losses: 0, scratches: 0, rVals: [] },
    C: { wins: 0, losses: 0, scratches: 0, rVals: [] },
    D: { wins: 0, losses: 0, scratches: 0, rVals: [] }
  };
  
  for (const r of testResults) {
    if (grouped[r.grade]) {
      grouped[r.grade].rVals.push(r.rMultiple);
      if (r.outcome === 'WIN') grouped[r.grade].wins++;
      else if (r.outcome === 'LOSS') grouped[r.grade].losses++;
      else grouped[r.grade].scratches++;
    }
  }

  console.log(`\n=== OUT-OF-SAMPLE TEST RESULTS (EXPECTANCY) ===`);
  console.log(`Grade\tExp(R)\t\t95% CI (Exp)\t\tWin%\tLoss%\tScratch%\tn`);
  console.log(`-----------------------------------------------------------------------------------------`);

  for (const g of grades) {
    const st = grouped[g];
    const n = st.rVals.length;
    if (n === 0) continue;
    
    const pWin = (st.wins / n) * 100;
    const pLoss = (st.losses / n) * 100;
    const pScratch = (st.scratches / n) * 100;
    
    const ci = ciExpectancy(st.rVals);
    
    const meanFmt = `${ci.mean > 0 ? '+' : ''}${ci.mean.toFixed(3)}R`;
    const ciFmt = `[${ci.lo.toFixed(3)}, ${ci.hi.toFixed(3)}]`;
    
    console.log(`${g}\t${meanFmt}\t\t${ciFmt}\t\t${pWin.toFixed(1)}%\t${pLoss.toFixed(1)}%\t${pScratch.toFixed(1)}%\t\t${n}`);
  }

  // Random Control = The entire test set
  const allR = testResults.map(r => r.rMultiple);
  const totalN = allR.length;
  if (totalN > 0) {
    const totalWins = testResults.filter(r => r.outcome === 'WIN').length;
    const totalLosses = testResults.filter(r => r.outcome === 'LOSS').length;
    const totalScratches = testResults.filter(r => r.outcome === 'SCRATCH').length;

    const ciRand = ciExpectancy(allR);
    const meanFmt = `${ciRand.mean > 0 ? '+' : ''}${ciRand.mean.toFixed(3)}R`;
    const ciFmt = `[${ciRand.lo.toFixed(3)}, ${ciRand.hi.toFixed(3)}]`;
    
    const pWin = (totalWins / totalN) * 100;
    const pLoss = (totalLosses / totalN) * 100;
    const pScratch = (totalScratches / totalN) * 100;

    console.log(`Rand\t${meanFmt}\t\t${ciFmt}\t\t${pWin.toFixed(1)}%\t${pLoss.toFixed(1)}%\t${pScratch.toFixed(1)}%\t\t${totalN}`);
  }

  console.log(`-----------------------------------------------------------------------------------------`);
}