import { PAIRS, type Candle, type Pair } from '../types';
import { getCandles, getCoverage } from '../market/candle-store';
import { buildWindows, aggregateOos } from '../backtest/walkforward';
import { runRotationBacktest, type RotationConfig } from '../backtest/rotation';
import { computeMetrics } from '../backtest/metrics';
import { DEFAULT_EXEC } from '../engine/portfolio';
import { db, sql } from '../db/client';
import { backtestRuns } from '../db/schema';

// --- Feste A-priori-Parameter (kein Grid, kein Overfitting möglich) ---
const LOOKBACK_BARS = 180; // 30 Tage × 6 Bars/Tag auf 4h-TF
const START_CAPITAL = 1000;
const EXEC = DEFAULT_EXEC;

const candles15ByPair = new Map<Pair, Candle[]>();
let dataFrom = 0;
let dataTo = Number.MAX_SAFE_INTEGER;

for (const pair of PAIRS) {
  const cov = await getCoverage(pair);
  if (!cov.from || !cov.to) throw new Error(`Keine Candles für ${pair} — erst 'bun run backfill' ausführen.`);
  candles15ByPair.set(pair, await getCandles(pair));
  dataFrom = Math.max(dataFrom, cov.from.getTime());
  dataTo = Math.min(dataTo, cov.to.getTime());
  console.log(`${pair}: ${cov.count} Candles (${cov.from.toISOString()} → ${cov.to.toISOString()})`);
}

console.log(`\nMomentum-Rotation (fix: lookback 30d, weekly, top-1, long-only)`);
console.log(`Walk-Forward über ${((dataTo - dataFrom) / 86400000).toFixed(0)} Tage…\n`);

const windows = buildWindows(dataFrom, dataTo);

type WindowResult = {
  window: { trainFrom: number; trainTo: number; testFrom: number; testTo: number };
  trainMetrics: ReturnType<typeof computeMetrics>;
  testMetrics: ReturnType<typeof computeMetrics>;
  testTrades: import('../engine/portfolio').ClosedTrade[];
  testEquityCurve: import('../backtest/metrics').EquityPoint[];
};

const results: WindowResult[] = [];

for (const [wi, w] of windows.entries()) {
  const trainCfg: RotationConfig = {
    startCapital: START_CAPITAL,
    exec: EXEC,
    lookbackBars: LOOKBACK_BARS,
    tradeFrom: w.trainFrom,
    tradeTo: w.trainTo,
  };
  const testCfg: RotationConfig = {
    startCapital: START_CAPITAL,
    exec: EXEC,
    lookbackBars: LOOKBACK_BARS,
    tradeFrom: w.testFrom,
    tradeTo: w.testTo,
  };

  const trainResult = runRotationBacktest(candles15ByPair, trainCfg);
  const trainMetrics = computeMetrics(trainResult.trades, trainResult.equityCurve, START_CAPITAL);

  const testResult = runRotationBacktest(candles15ByPair, testCfg);
  const testMetrics = computeMetrics(testResult.trades, testResult.equityCurve, START_CAPITAL);

  results.push({
    window: w,
    trainMetrics,
    testMetrics,
    testTrades: testResult.trades,
    testEquityCurve: testResult.equityCurve,
  });

  console.log(
    `Fenster ${wi + 1}/${windows.length}: Train-PF ${trainMetrics.profitFactor.toFixed(2)} ` +
    `→ Test-PF ${testMetrics.profitFactor.toFixed(2)} bei ${testMetrics.trades} Trades`,
  );
}

// OOS-Aggregat (gemeinsame Logik aus walkforward.ts)
const { oosMetrics, oosEquityCurve, gate } = aggregateOos(results, START_CAPITAL);

console.log('\n========== OOS-GESAMTERGEBNIS ==========');
const m = oosMetrics;
console.log(`Trades: ${m.trades} | WinRate: ${(m.winRate * 100).toFixed(1)}% | PF: ${m.profitFactor.toFixed(2)}`);
console.log(`TotalPnl: ${m.totalPnl.toFixed(2)} USDT | MaxDD: ${(m.maxDrawdownPct * 100).toFixed(1)}% | AvgR: ${m.avgR.toFixed(2)}`);

console.log('\n========== DEPLOY-GATE ==========');
for (const c of gate.checks) {
  console.log(`${c.pass ? '✅' : '❌'} ${c.name}: ${Number.isFinite(c.value) ? c.value.toFixed(2) : c.value}`);
}
console.log(`\n→ GATE ${gate.pass ? 'BESTANDEN' : 'NICHT BESTANDEN'}`);

// Persistenz
await db.insert(backtestRuns).values({
  kind: 'rotation-walkforward',
  config: { startCapital: START_CAPITAL, exec: EXEC, lookbackBars: LOOKBACK_BARS } as any,
  result: {
    gate,
    oosMetrics,
    oosEquityCurve,
    windows: results.map((r) => ({
      window: r.window,
      trainMetrics: r.trainMetrics,
      testMetrics: r.testMetrics,
    })),
  } as any,
});
console.log('Run in backtest_runs gespeichert.');
await sql.end();