"""
BrainSteel Fin — PaperT Agent + Portfolio Simulator
Simulation Execution Officer + Virtual Portfolio Tracker
Saldo virtual: $10.000 USDT | tracking de P&L diário | gráfico de evolução
"""
import os, json, requests, sqlite3
from datetime import datetime, date
from pathlib import Path

# ── Portfolio Config ──────────────────────────────────────────────────────────
INITIAL_BALANCE = 200.0    # USDT virtual para simulação ( BrainSteel Fin )
DATA_DIR = Path("/app/data")
PORTFOLIO_DB = DATA_DIR / "portfolio.db"

class Portfolio:
    """Portfolio simulation — tracking de saldo, trades e P&L."""

    def __init__(self):
        self._init_db()

    def _init_db(self):
        DATA_DIR.mkdir(parents=True, exist_ok=True)
        conn = sqlite3.connect(str(PORTFOLIO_DB))
        c = conn.cursor()
        c.execute("""
            CREATE TABLE IF NOT EXISTS portfolio (
                id INTEGER PRIMARY KEY AUTOINCREMENT,
                date TEXT,
                balance REAL,
                btc_held REAL DEFAULT 0,
                unrealized_pnl REAL DEFAULT 0,
                total_trades INTEGER DEFAULT 0,
                wins INTEGER DEFAULT 0,
                losses INTEGER DEFAULT 0,
                created_at TEXT,
                UNIQUE(date)
            )
        """)
        c.execute("""
            CREATE TABLE IF NOT EXISTS trades (
                id INTEGER PRIMARY KEY AUTOINCREMENT,
                date TEXT,
                action TEXT,
                entry_price REAL,
                amount_usdt REAL,
                btc_amount REAL,
                exit_price REAL,
                pnl_usdt REAL,
                pnl_pct REAL,
                stop_loss REAL,
                take_profit REAL,
                fee_usdt REAL,
                exit_reason TEXT,
                result TEXT,
                created_at TEXT
            )
        """)
        c.execute("""
            CREATE TABLE IF NOT EXISTS daily_snapshot (
                id INTEGER PRIMARY KEY AUTOINCREMENT,
                date TEXT UNIQUE,
                balance REAL,
                btc_price REAL,
                btc_held REAL,
                open_trades INTEGER DEFAULT 0,
                closed_trades INTEGER DEFAULT 0,
                day_pnl REAL DEFAULT 0,
                total_pnl REAL DEFAULT 0,
                win_rate REAL DEFAULT 0,
                created_at TEXT
            )
        """)
        # Ensure today's row exists
        today = date.today().isoformat()
        row = c.execute("SELECT balance FROM portfolio WHERE date=?", (today,)).fetchone()
        if not row:
            # Seed from last known balance or initial
            last = c.execute("SELECT balance, btc_held FROM portfolio ORDER BY date DESC LIMIT 1").fetchone()
            balance = last[0] if last else INITIAL_BALANCE
            btc_held = last[1] if last else 0.0
            c.execute("INSERT INTO portfolio (date,balance,btc_held,created_at) VALUES (?,?,?,?)",
                      (today, balance, btc_held, datetime.now().isoformat()))
        conn.commit()
        conn.close()

    @property
    def balance(self):
        conn = sqlite3.connect(str(PORTFOLIO_DB))
        c = conn.cursor()
        today = date.today().isoformat()
        row = c.execute("SELECT balance, btc_held FROM portfolio WHERE date=?", (today,)).fetchone()
        conn.close()
        return {"balance": row[0] if row else INITIAL_BALANCE, "btc_held": row[1] if row else 0.0}

    def buy(self, price, amount_pct=25, stop_loss=0, take_profit=0):
        """Executa BUY simulado."""
        return self._execute_trade("BUY", price, amount_pct, stop_loss, take_profit)

    def sell(self, price, amount_pct=25, stop_loss=0, take_profit=0):
        """Executa SELL simulado (fecha posição)."""
        return self._execute_trade("SELL", price, amount_pct, stop_loss, take_profit)

    def _execute_trade(self, action, price, amount_pct, stop_loss, take_profit):
        conn = sqlite3.connect(str(PORTFOLIO_DB))
        c = conn.cursor()
        today = date.today().isoformat()
        now = datetime.now().isoformat()

        current = self.balance
        balance = current["balance"]
        btc_held = current["btc_held"]
        fee_rate = 0.001  # 0.1%

        result = {}
        pnl = 0.0
        pnl_pct = 0.0
        exit_reason = ""
        btc_amount = 0.0
        amount_usdt = 0.0

        if action == "BUY":
            allocation = balance * (amount_pct / 100)
            fee = allocation * fee_rate
            net_cost = allocation - fee
            btc_amount = net_cost / price
            new_balance = balance - allocation
            new_btc_held = btc_held + btc_amount
            amount_usdt = allocation
            exit_reason = "entry"
            result_str = f"🟢 BUY | ${allocation:.2f} alocado | {btc_amount:.6f} BTC @ ${price:,.0f} | Fee: ${fee:.2f}"

        elif action == "SELL" and btc_held > 0:
            # Sell portion of BTC held
            sell_pct = amount_pct / 100
            btc_to_sell = btc_held * sell_pct
            gross = btc_to_sell * price
            fee = gross * fee_rate
            net_proceeds = gross - fee
            amount_usdt = gross
            pnl = net_proceeds - (btc_to_sell * price)  # simplified
            pnl_pct = (pnl / (btc_to_sell * price)) * 100 if btc_to_sell > 0 else 0

            new_balance = balance + net_proceeds
            new_btc_held = btc_held - btc_to_sell
            btc_amount = btc_to_sell

            # Determine exit reason
            if stop_loss and price <= stop_loss:
                exit_reason = "stop_loss_hit"
            elif take_profit and price >= take_profit:
                exit_reason = "take_profit_hit"
            else:
                exit_reason = "decio_signal"

            result_str = f"🔴 SELL | {btc_to_sell:.6f} BTC @ ${price:,.0f} | Net: ${net_proceeds:.2f} | Fee: ${fee:.2f}"
        else:
            new_balance = balance
            new_btc_held = btc_held
            result_str = f"⚪ SELL ignorado | BTC held: {btc_held:.6f}"

        # Record trade if it happened
        if action in ("BUY", "SELL") and (action == "BUY" or btc_held > 0):
            is_win = pnl > 0 if action == "SELL" and btc_held > 0 else None
            c.execute("""
                INSERT INTO trades (date,action,entry_price,amount_usdt,btc_amount,exit_price,pnl_usdt,pnl_pct,stop_loss,take_profit,fee_usdt,exit_reason,result,created_at)
                VALUES (?,?,?,?,?,?,?,?,?,?,?,?,?,?)
            """, (today, action, price, amount_usdt, btc_amount,
                  price if action == "SELL" else 0,
                  pnl, pnl_pct, stop_loss, take_profit,
                  amount_usdt * fee_rate if action == "BUY" else amount_usdt * fee_rate if action == "SELL" else 0,
                  exit_reason, "WIN" if is_win else ("LOSS" if is_win is False else "PENDING"),
                  now))

            # Update daily stats
            c.execute("UPDATE portfolio SET balance=?, btc_held=?, total_trades=total_trades+1 WHERE date=?",
                      (new_balance, new_btc_held, today))
            if is_win is True:
                c.execute("UPDATE portfolio SET wins=wins+1 WHERE date=?", (today,))
            elif is_win is False:
                c.execute("UPDATE portfolio SET losses=losses+1 WHERE date=?", (today,))

            conn.commit()
        conn.close()

        return {
            "action": action,
            "balance": new_balance if action != "SELL" or btc_held > 0 else balance,
            "btc_held": new_btc_held,
            "pnl": pnl,
            "result_str": result_str
        }

    def get_stats(self):
        """Returns aggregate stats for dashboard."""
        conn = sqlite3.connect(str(PORTFOLIO_DB))
        c = conn.cursor()

        # All trades
        trades = c.execute("SELECT action,pnl_usdt,pnl_pct,result,date FROM trades ORDER BY created_at DESC").fetchall()

        total_trades = len(trades)
        wins = sum(1 for t in trades if t[3] == "WIN")
        losses = sum(1 for t in trades if t[3] == "LOSS")

        # Current balance
        today = date.today().isoformat()
        cur = c.execute("SELECT balance, btc_held FROM portfolio WHERE date=?", (today,)).fetchone()
        current_balance = cur[0] if cur else INITIAL_BALANCE
        btc_held = cur[1] if cur else 0.0

        # Portfolio value in USD (btc_held at current price)
        try:
            r = requests.get("https://api.binance.com/api/v3/ticker/price?symbol=BTCUSDT", timeout=5)
            btc_price = float(r.json()["price"]) if r.status_code == 200 else 0
        except:
            btc_price = 0
        total_value = current_balance + (btc_held * btc_price)

        # Daily history for chart
        days = c.execute("SELECT date,balance FROM portfolio ORDER BY date ASC").fetchall()

        conn.close()

        # Calculate metrics
        total_pnl = total_value - INITIAL_BALANCE
        total_pnl_pct = (total_pnl / INITIAL_BALANCE) * 100
        win_rate = (wins / total_trades * 100) if total_trades > 0 else 0

        # Drawdown
        peak = INITIAL_BALANCE
        max_drawdown = 0
        for _, bal in days:
            if bal > peak:
                peak = bal
            dd = (peak - bal) / peak * 100
            if dd > max_drawdown:
                max_drawdown = dd

        return {
            "initial_balance": INITIAL_BALANCE,
            "current_balance": round(current_balance, 2),
            "btc_held": round(btc_held, 8),
            "btc_price": btc_price,
            "total_value": round(total_value, 2),
            "total_pnl": round(total_pnl, 2),
            "total_pnl_pct": round(total_pnl_pct, 2),
            "total_trades": total_trades,
            "wins": wins,
            "losses": losses,
            "win_rate": round(win_rate, 1),
            "max_drawdown": round(max_drawdown, 2),
            "chart_data": [(d, round(b, 2)) for d, b in days],
            "btc_value_usdt": round(btc_held * btc_price, 2)
        }

    def snapshot(self):
        """Save daily snapshot for chart history."""
        conn = sqlite3.connect(str(PORTFOLIO_DB))
        c = conn.cursor()
        today = date.today().isoformat()
        stats = self.get_stats()

        # Get closed trades today
        today_trades = c.execute("SELECT COUNT(*),SUM(pnl_usdt) FROM trades WHERE date=? AND result IN ('WIN','LOSS')", (today,)).fetchone()

        c.execute("""
            INSERT OR REPLACE INTO daily_snapshot
            (date,balance,btc_price,btc_held,open_trades,closed_trades,day_pnl,total_pnl,win_rate,created_at)
            VALUES (?,?,?,?,?,?,?,?,?,?)
        """, (
            today,
            stats["current_balance"],
            stats["btc_price"],
            stats["btc_held"],
            0,  # open_trades
            today_trades[0] if today_trades else 0,
            today_trades[1] if today_trades and today_trades[1] else 0,
            stats["total_pnl"],
            stats["win_rate"],
            datetime.now().isoformat()
        ))
        conn.commit()
        conn.close()


class PapertAgent:
    """Agent executor que também atualiza portfolio simulado."""

    def __init__(self, decio_data):
        self.name = "PaperT"
        self.decio_data = decio_data
        self.portfolio = Portfolio()
        self.openrouter_key = os.getenv("PAPERT_API_KEY", os.getenv("OPENROUTER_API_KEY", ""))
        self.openrouter_url = "https://openrouter.ai/api/v1/chat/completions"
        self.model = "deepseek/deepseek-v4-flash:free"

    def _validate_order(self):
        action = self.decio_data.get("action", self.decio_data.get("decision", "HOLD"))
        if isinstance(action, str):
            for w in ["BUY", "SELL", "HOLD"]:
                if w in action.upper():
                    action = w
                    break
        return True, action

    def _format_log_entry(self, action, entry_price, stop_loss, take_profit):
        now = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
        fee = round(entry_price * 0.001, 2)
        entry = f"[{now}] BTC/USDT | {action} | Entry: ${entry_price:,.2f} | Fee: ${fee:.2f} | SL: ${stop_loss:,.2f} | TP: ${take_profit:,.2f}"
        return entry

    def _write_log(self, log_line):
        for path in ["/data/trading_history.log", "/app/data/trading_history.log"]:
            try:
                os.makedirs(os.path.dirname(path), exist_ok=True)
                with open(path, "a") as f:
                    f.write(log_line + "\n")
                return True
            except:
                pass
        return False

    def _current_price(self):
        try:
            r = requests.get("https://api.binance.com/api/v3/ticker/price?symbol=BTCUSDT", timeout=10)
            if r.status_code == 200:
                return float(r.json()["price"])
        except:
            return self.decio_data.get("price", 0)

    def run(self):
        valid, action = self._validate_order()
        entry_price = self._current_price()
        stop_loss = self.decio_data.get("stop_loss", 0) or 0
        take_profit = self.decio_data.get("take_profit", 0) or 0
        amount_pct = self.decio_data.get("amount_pct", 0) or 25

        # Execute portfolio trade
        portfolio_result = self.portfolio._execute_trade(action, entry_price, amount_pct, stop_loss, take_profit)

        # Log entry
        log_entry = self._format_log_entry(action, entry_price, stop_loss, take_profit)
        logged = self._write_log(log_entry)

        # Save daily snapshot
        try:
            self.portfolio.snapshot()
        except:
            pass

        # Build result
        stats = self.portfolio.get_stats()
        fee = round(entry_price * 0.001, 2)

        result_str = f"[EXEC] {datetime.now().strftime('%Y-%m-%dT%H:%M:%S')} | {action} | ${entry_price:,.0f}"
        if action in ("BUY", "SELL"):
            result_str += f" | Bal: ${stats['current_balance']:.2f} | P&L total: ${stats['total_pnl']:+.2f} ({stats['total_pnl_pct']:+.1f}%)"

        return {
            "status": "validated",
            "exec_log": log_entry,
            "action": action,
            "entry_price": entry_price,
            "amount_pct": amount_pct,
            "stop_loss": stop_loss,
            "take_profit": take_profit,
            "fee_usdt": fee,
            "log_appended": logged,
            "result": result_str,
            # Portfolio info for dashboard
            "portfolio": {
                "balance": stats["current_balance"],
                "total_value": stats["total_value"],
                "total_pnl": stats["total_pnl"],
                "total_pnl_pct": stats["total_pnl_pct"],
                "total_trades": stats["total_trades"],
                "wins": stats["wins"],
                "losses": stats["losses"],
                "win_rate": stats["win_rate"],
                "btc_held": stats["btc_held"],
                "btc_price": stats["btc_price"]
            },
            "agent": "PaperT",
            "timestamp": datetime.now().isoformat()
        }