"""
Module de monitoring: logs, métriques, alertes, dashboard.
"""
import json
import logging
import time
from dataclasses import dataclass, field, asdict
from datetime import datetime
from typing import Optional

logger = logging.getLogger("polybot.monitor")


@dataclass
class MetricSnapshot:
    timestamp: float
    balance_usd: float
    total_exposure: float
    total_pnl: float
    daily_pnl: float
    num_positions: int
    num_trades: int
    max_drawdown: float
    arb_opportunities: int = 0
    value_bet_signals: int = 0
    lf_signals: int = 0


@dataclass
class AlertEvent:
    timestamp: float
    level: str          # "INFO", "WARN", "ERROR"
    title: str
    message: str
    strategy: str = ""
    metadata: dict = field(default_factory=dict)


class BotMonitor:
    """
    Moniteur du bot avec historique des métriques et système d'alertes.
    """

    def __init__(self):
        self.metrics_history: list[MetricSnapshot] = []
        self.alerts: list[AlertEvent] = []
        self.start_time: float = time.time()
        self._daily_reset_time: float = time.time()

    def record_metrics(self, snapshot: MetricSnapshot):
        """Enregistre un snapshot de métriques."""
        self.metrics_history.append(snapshot)
        logger.info(
            f"📊 Balance: ${snapshot.balance_usd:.2f} | "
            f"PnL: ${snapshot.total_pnl:+.2f} | "
            f"Positions: {snapshot.num_positions} | "
            f"Trades: {snapshot.num_trades} | "
            f"Drawdown: {snapshot.max_drawdown*100:.2f}%"
        )

    def alert(self, level: str, title: str, message: str,
              strategy: str = "", metadata: dict = None):
        """Enregistre et logue une alerte."""
        event = AlertEvent(
            timestamp=time.time(),
            level=level,
            title=title,
            message=message,
            strategy=strategy,
            metadata=metadata or {},
        )
        self.alerts.append(event)

        log_func = {
            "INFO": logger.info,
            "WARN": logger.warning,
            "ERROR": logger.error,
        }.get(level, logger.info)

        log_func(f"🚨 [{level}] {title}: {message}")

    def check_risk_alerts(self, portfolio_summary: dict, config):
        """Vérifie les conditions d'alerte basées sur le portefeuille."""

        # Alerte perte journalière
        daily_pnl = portfolio_summary.get("daily_pnl", 0)
        if daily_pnl < -config.max_daily_loss_usd * 0.5:
            self.alert(
                "WARN",
                "Daily Loss Warning",
                f"Daily PnL: ${daily_pnl:.2f} — approaching daily limit of ${config.max_daily_loss_usd:.2f}. "
                f"Consider reducing position sizes.",
                metadata={"daily_pnl": daily_pnl}
            )

        if daily_pnl < -config.max_daily_loss_usd:
            self.alert(
                "ERROR",
                "Daily Loss Limit Reached",
                f"Daily PnL: ${daily_pnl:.2f} — HALTING trading. "
                f"All new positions blocked until daily reset.",
                metadata={"daily_pnl": daily_pnl}
            )

        # Alerte drawdown
        dd_str = portfolio_summary.get("max_drawdown", "0%")
        dd = float(dd_str.replace("%", "")) / 100
        if dd > 0.10:
            self.alert(
                "WARN",
                "High Drawdown",
                f"Max drawdown: {dd*100:.2f}% — consider reducing exposure. "
                f"Reduce position sizes by 50% if drawdown exceeds 15%.",
                metadata={"max_drawdown": dd}
            )

    def get_performance_report(self) -> dict:
        """Génère un rapport de performance complet."""
        if not self.metrics_history:
            return {"status": "no data"}

        latest = self.metrics_history[-1]
        first = self.metrics_history[0]

        uptime = time.time() - self.start_time
        hours = uptime / 3600

        return {
            "uptime_hours": round(hours, 2),
            "starting_balance": round(first.balance_usd, 2),
            "current_balance": round(latest.balance_usd, 2),
            "total_pnl": round(latest.total_pnl, 2),
            "return_pct": round(latest.total_pnl / first.balance_usd * 100, 2) if first.balance_usd > 0 else 0,
            "max_drawdown_pct": round(latest.max_drawdown * 100, 2),
            "total_trades": latest.num_trades,
            "active_positions": latest.num_positions,
            "pnl_per_hour": round(latest.total_pnl / hours, 2) if hours > 0 else 0,
            "total_alerts": len(self.alerts),
            "error_alerts": sum(1 for a in self.alerts if a.level == "ERROR"),
            "warn_alerts": sum(1 for a in self.alerts if a.level == "WARN"),
            "snapshots_recorded": len(self.metrics_history),
        }

    def export_metrics(self, filepath: str = "bot_metrics.json"):
        """Exporte les métriques en JSON."""
        data = {
            "performance": self.get_performance_report(),
            "alerts": [asdict(a) for a in self.alerts[-50:]],
            "metrics_history": [asdict(m) for m in self.metrics_history[-100:]],
        }
        with open(filepath, "w") as f:
            json.dump(data, f, indent=2)
        logger.info(f"Metrics exported to {filepath}")

    def print_dashboard(self):
        """Affiche un dashboard compact dans les logs."""
        report = self.get_performance_report()
        if report.get("status") == "no data":
            logger.info("📊 No metrics data yet")
            return

        dashboard = f"""
╔══════════════════════════════════════════════════════════════╗
║                   POLYMARKET BOT DASHBOARD                   ║
╠══════════════════════════════════════════════════════════════╣
║ Uptime:        {report['uptime_hours']:.1f}h
║ Balance:       ${report['current_balance']:,.2f} (start: ${report['starting_balance']:,.2f})
║ Total PnL:     ${report['total_pnl']:+,.2f} ({report['return_pct']:+.2f}%)
║ PnL/Hour:      ${report['pnl_per_hour']:+,.2f}
║ Max Drawdown:  {report['max_drawdown_pct']:.2f}%
║ Trades:        {report['total_trades']}
║ Positions:     {report['active_positions']}
║ Alerts:        {report['total_alerts']} (⚠️{report['warn_alerts']} ❌{report['error_alerts']})
╚══════════════════════════════════════════════════════════════╝"""
        logger.info(dashboard)