"""
monitoring/web_api.py — Lightweight Flask API for the HTML dashboard.
Serves JSON endpoints for portfolio, predictions, signals, risk state, and chart data.
"""
from __future__ import annotations

import csv
import datetime
import json
import logging
import os
import threading
from pathlib import Path
from zoneinfo import ZoneInfo

_ET = ZoneInfo("America/New_York")

from flask import Flask, jsonify, send_from_directory, request
from flask_cors import CORS

import config
from contracts import PriceTarget, FinalScore
from data import storage
from execution import broker
from execution import risk as risk_module
from execution.portfolio import Portfolio
from execution.pdt_tracker import count_day_trades
from signals.sentiment import is_warming_up, get_last_refresh, get_sentiment

logger = logging.getLogger("trading_system.web_api")

app = Flask(__name__, static_folder=None)
CORS(app)

# ── Shared state (set by main.py) ───────────────────────────────────────────

_portfolio: Portfolio | None = None
_predictions: dict[str, PriceTarget] = {}
_signals: dict[str, FinalScore] = {}
_trade_log: list[dict] = []
_trade_log_lock = threading.Lock()

MAX_TRADE_LOG = 500


def init(portfolio: Portfolio):
    """Set the portfolio reference from main.py."""
    global _portfolio
    _portfolio = portfolio


def update_prediction(symbol: str, target: PriceTarget):
    _predictions[symbol] = target


def update_signal(symbol: str, signal: FinalScore):
    _signals[symbol] = signal


def log_trade_event(event: dict):
    """Append a trade event to the rolling log."""
    with _trade_log_lock:
        _trade_log.append({
            "time": datetime.datetime.now(datetime.timezone.utc).isoformat(),
            **event,
        })
        if len(_trade_log) > MAX_TRADE_LOG:
            del _trade_log[:len(_trade_log) - MAX_TRADE_LOG]


# ── Routes ───────────────────────────────────────────────────────────────────

STATIC_DIR = Path(__file__).resolve().parent.parent


@app.route("/")
def index():
    return send_from_directory(str(STATIC_DIR), "dashboard.html")


@app.route("/api/config")
def api_config():
    return jsonify({
        "universe": config.UNIVERSE,
        "trading_mode": config.TRADING_MODE,
        "dry_run": config.DRY_RUN,
        "target_daily_profit": config.TARGET_DAILY_PROFIT_USD,
        "max_daily_loss": config.MAX_DAILY_LOSS_USD,
        "max_positions": config.MAX_OPEN_POSITIONS,
        "risk_per_trade_pct": config.RISK_PER_TRADE_PCT,
        "technical_weight": config.TECHNICAL_WEIGHT,
        "sentiment_weight": config.SENTIMENT_WEIGHT,
        "buy_threshold": config.SIGNAL_BUY_THRESHOLD,
        "sell_threshold": config.SIGNAL_SELL_THRESHOLD,
        "allow_short": config.ALLOW_SHORT,
        "allow_overnight": config.ALLOW_OVERNIGHT_POSITIONS,
        "gpu": config.GPU_AVAILABLE,
        "above_25k": config.ACCOUNT_BALANCE_ABOVE_25K,
    })


@app.route("/api/portfolio")
def api_portfolio():
    if not _portfolio:
        return jsonify({"positions": {}, "realized": 0, "unrealized": 0, "total": 0, "count": 0})

    positions = {}
    for sym, pos in _portfolio.positions.items():
        positions[sym] = {
            "symbol": sym,
            "side": pos.get("side", ""),
            "qty": pos.get("qty", 0),
            "entry_price": pos.get("entry_price", 0),
            "current_price": pos.get("current_price", 0),
            "unrealized_pl": pos.get("unrealized_pl", 0),
            "market_value": pos.get("market_value", 0),
        }

    return jsonify({
        "positions": positions,
        "realized": _portfolio.daily_realized_pnl,
        "unrealized": _portfolio.total_unrealized_pnl,
        "total": _portfolio.total_pnl,
        "count": _portfolio.open_count,
        "closed_trades": _portfolio.closed_trades[-20:],
        "equity": broker.get_equity(),
        "buying_power": broker.get_buying_power(),
        "cash": broker.get_cash(),
    })


@app.route("/api/predictions")
def api_predictions():
    result = {}
    for sym in config.UNIVERSE:
        pred = _predictions.get(sym)
        sig = _signals.get(sym)
        if pred:
            result[sym] = {
                "symbol": sym,
                "current_price": pred.current_price,
                "direction": pred.predicted_direction,
                "entry_price": pred.entry_price,
                "stop_loss": pred.stop_loss_price,
                "take_profit": pred.take_profit_price,
                "expected_profit": pred.expected_profit_usd,
                "confidence": pred.confidence,
                "decision": sig.decision if sig else "—",
                "final_score": sig.final if sig else 0,
                "technical": sig.technical if sig else 0,
                "sentiment": sig.sentiment if sig else 0,
            }
        else:
            result[sym] = {"symbol": sym, "direction": "—", "decision": "—"}
    return jsonify(result)


@app.route("/api/risk")
def api_risk():
    now_et = datetime.datetime.now(_ET)
    pdt_count = count_day_trades() if not config.ACCOUNT_BALANCE_ABOVE_25K else -1

    sentiment_status = "warming_up"
    sentiment_age = None
    if not is_warming_up():
        last = get_last_refresh()
        if last:
            sentiment_age = (datetime.datetime.now(datetime.timezone.utc) - last).total_seconds() / 60
            sentiment_status = "stale" if sentiment_age > 35 else "fresh"
        else:
            sentiment_status = "no_data"

    circuits = []
    if risk_module.profit_locked:
        circuits.append("profit_locked")
    if risk_module.half_size_mode:
        circuits.append("half_size")
    if risk_module.consecutive_losses >= 3:
        circuits.append(f"losing_streak_{risk_module.consecutive_losses}")
    if broker.safe_mode_active:
        circuits.append("safe_mode")

    overnight_risk = _portfolio.has_overnight_risk() if _portfolio else False

    return jsonify({
        "daily_realized": risk_module.daily_realized_pnl,
        "daily_unrealized": risk_module.daily_unrealized_pnl,
        "daily_open_equity": risk_module.daily_open_equity,
        "consecutive_losses": risk_module.consecutive_losses,
        "half_size_mode": risk_module.half_size_mode,
        "profit_locked": risk_module.profit_locked,
        "safe_mode": broker.safe_mode_active,
        "pdt_count": pdt_count,
        "pdt_max": config.PDT_MAX_DAY_TRADES,
        "circuits_active": circuits,
        "sentiment_status": sentiment_status,
        "sentiment_age_min": sentiment_age,
        "overnight_risk": overnight_risk,
        "time_et": now_et.strftime("%H:%M:%S"),
        "market_open": 9 * 60 + 30 <= now_et.hour * 60 + now_et.minute <= 16 * 60 and now_et.weekday() < 5,
    })


@app.route("/api/chart/<symbol>")
def api_chart(symbol: str):
    """Return recent 5-min bars for mini charts."""
    symbol = symbol.upper()
    if symbol not in config.UNIVERSE:
        return jsonify({"error": "symbol not in universe"}), 400
    try:
        df = storage.get_all_bars(symbol, "5Min")
        if df.empty:
            return jsonify({"bars": []})
        # Last 78 bars (~1 trading day)
        tail = df.tail(78)
        bars = []
        for _, row in tail.iterrows():
            bars.append({
                "t": str(row.get("timestamp", "")),
                "o": round(float(row["open"]), 2),
                "h": round(float(row["high"]), 2),
                "l": round(float(row["low"]), 2),
                "c": round(float(row["close"]), 2),
                "v": int(row["volume"]),
            })
        return jsonify({"bars": bars, "symbol": symbol})
    except Exception as e:
        return jsonify({"bars": [], "error": str(e)})


@app.route("/api/chart_daily/<symbol>")
def api_chart_daily(symbol: str):
    """Return recent daily bars for trend chart."""
    symbol = symbol.upper()
    if symbol not in config.UNIVERSE:
        return jsonify({"error": "symbol not in universe"}), 400
    try:
        df = storage.get_all_bars(symbol, "1Day")
        if df.empty:
            return jsonify({"bars": []})
        tail = df.tail(60)
        bars = []
        for _, row in tail.iterrows():
            bars.append({
                "t": str(row.get("timestamp", ""))[:10],
                "o": round(float(row["open"]), 2),
                "h": round(float(row["high"]), 2),
                "l": round(float(row["low"]), 2),
                "c": round(float(row["close"]), 2),
                "v": int(row["volume"]),
            })
        return jsonify({"bars": bars, "symbol": symbol})
    except Exception as e:
        return jsonify({"bars": [], "error": str(e)})


@app.route("/api/sentiment")
def api_sentiment():
    """Return sentiment scores for all symbols."""
    result = {}
    for sym in config.UNIVERSE:
        score = get_sentiment(sym)
        # Prefer the in-memory cache if it has data; otherwise fall back to DB cached value.
        if score and getattr(score, "source_count", 0) > 0:
            result[sym] = {
                "score": score.score,
                "cached_at": score.cached_at.isoformat(),
                "source_count": score.source_count,
                "stale": score.stale,
            }
        else:
            # Try DB-stored cached sentiment as a fallback so the UI can display values
            # even if the in-memory cache hasn't been populated yet.
            cached = storage.get_cached_sentiment(sym)
            if cached:
                # `cached` uses ISO timestamp strings from the DB.
                result[sym] = {
                    "score": float(cached.get("score", 0.0)),
                    "cached_at": cached.get("cached_at"),
                    "source_count": int(cached.get("source_count", 0)),
                    "stale": False,
                }
            else:
                result[sym] = {"score": 0.0, "stale": True, "source_count": 0}
    return jsonify(result)


@app.route("/api/trades")
def api_trades():
    """Return recent trade events."""
    with _trade_log_lock:
        return jsonify(_trade_log[-50:])


@app.route("/api/system_info")
def api_system_info():
    """Return model info, data download status, and system metrics."""
    gpu_available = False
    gpu_name = None
    gpu_vram = None
    
    try:
        import torch
        gpu_available = torch.cuda.is_available()
        gpu_name = torch.cuda.get_device_name(0) if gpu_available else None
        if gpu_available:
            props = torch.cuda.get_device_properties(0)
            total = getattr(props, 'total_memory', None) or getattr(props, 'total_mem', 0)
            gpu_vram = round(total / (1024**3), 1)
    except Exception as e:
        logger.warning("Could not load torch for system info: %s", e)

    model_info = {
        "name": "ProsusAI/finbert",
        "type": "FinBERT (BERT fine-tuned for financial sentiment)",
        "labels": ["positive", "negative", "neutral"],
        "score_formula": "positive - negative → [-1, +1]",
        "max_tokens": 128,
        "batch_size": 16,
        "fallback": "VADER (no GPU)",
        "device": f"cuda ({gpu_name})" if gpu_available else "cpu (VADER fallback)",
        "gpu_available": gpu_available,
        "gpu_name": gpu_name,
        "gpu_vram_gb": gpu_vram,
        "news_sources": [],
    }
    if config.NEWS_API_KEY:
        model_info["news_sources"].append("NewsAPI")
    if config.GNEWS_API_KEY:
        model_info["news_sources"].append("GNews")

    # ── Technical indicators ──
    indicators = [
        {"name": "RSI(14)", "weight": 0.20, "type": "Momentum"},
        {"name": "MACD(12,26,9)", "weight": 0.20, "type": "Trend"},
        {"name": "Bollinger(20,2σ)", "weight": 0.15, "type": "Volatility"},
        {"name": "VWAP", "weight": 0.20, "type": "Volume-Price"},
        {"name": "EMA-200", "weight": 0.15, "type": "Trend"},
        {"name": "ATR Percentile", "weight": 0.10, "type": "Volatility Filter"},
    ]

    # ── Data download status ──
    data_status = {}
    for sym in config.UNIVERSE:
        sym_data = {}
        for tf, label in [("1Day", "daily"), ("1Hour", "hourly"), ("5Min", "5min")]:
            count = storage.count_bars(sym, tf)
            last_ts = storage.get_last_timestamp(sym, tf)
            sym_data[label] = {
                "bars": count,
                "last_update": last_ts.isoformat() if last_ts else None,
            }
        data_status[sym] = sym_data

    total_bars = sum(
        d[tf]["bars"]
        for d in data_status.values()
        for tf in ["daily", "hourly", "5min"]
    )

    # ── Backtest metrics (if available from last run) ──
    metrics = _last_backtest_metrics.copy() if _last_backtest_metrics else None

    return jsonify({
        "model": model_info,
        "indicators": indicators,
        "data_status": data_status,
        "total_bars": total_bars,
        "universe": config.UNIVERSE,
        "metrics": metrics,
    })


# ── Backtest metrics store ──
_last_backtest_metrics: dict = {}


def update_backtest_metrics(metrics: dict):
    """Store the latest backtest metrics for display."""
    global _last_backtest_metrics
    _last_backtest_metrics = metrics


# ── Backtest results viewer ─────────────────────────────────────────────────

BACKTEST_DIR = Path(__file__).resolve().parent.parent / "backtest_results"


@app.route("/backtest")
def backtest_viewer():
    return send_from_directory(str(STATIC_DIR), "backtest_dashboard.html")


@app.route("/api/backtest/list")
def api_backtest_list():
    """List all available backtest result sets."""
    if not BACKTEST_DIR.exists():
        return jsonify([])
    sets: dict[str, dict] = {}
    for f in sorted(BACKTEST_DIR.glob("*_trades.csv")):
        key = f.stem.replace("_trades", "")
        parts = key.rsplit("_", 2)  # symbols_start_end
        if len(parts) >= 3:
            symbols_str, start, end = parts[0], parts[1], parts[2]
        else:
            symbols_str, start, end = key, "", ""
        symbols = symbols_str.split("+")
        pnl_file = BACKTEST_DIR / f"{key}_daily_pnl.csv"
        sets[key] = {
            "key": key,
            "symbols": symbols,
            "symbol_count": len(symbols),
            "start": start,
            "end": end,
            "has_pnl": pnl_file.exists(),
            "trades_file": f.name,
        }
    return jsonify(list(sets.values()))


@app.route("/api/backtest/trades/<path:key>")
def api_backtest_trades(key: str):
    """Return trades for a backtest run."""
    trades_file = BACKTEST_DIR / f"{key}_trades.csv"
    if not trades_file.exists():
        return jsonify({"error": "not found"}), 404
    rows = []
    with open(trades_file, newline="") as fh:
        reader = csv.DictReader(fh)
        for row in reader:
            for num_col in ("entry_price", "exit_price", "qty", "pnl", "duration_min", "confidence", "conf_multiplier"):
                if num_col in row and row[num_col]:
                    try:
                        row[num_col] = float(row[num_col])
                    except ValueError:
                        pass
            rows.append(row)
    return jsonify(rows)


@app.route("/api/backtest/daily_pnl/<path:key>")
def api_backtest_daily_pnl(key: str):
    """Return daily P&L for a backtest run."""
    pnl_file = BACKTEST_DIR / f"{key}_daily_pnl.csv"
    if not pnl_file.exists():
        return jsonify({"error": "not found"}), 404
    rows = []
    with open(pnl_file, newline="") as fh:
        reader = csv.DictReader(fh)
        for row in reader:
            if "pnl" in row:
                try:
                    row["pnl"] = float(row["pnl"])
                except ValueError:
                    pass
            rows.append(row)
    return jsonify(rows)


def start_server(portfolio: Portfolio, host: str = "127.0.0.1", port: int = 5000):
    """Start the Flask API server in a daemon thread."""
    init(portfolio)
    thread = threading.Thread(
        target=lambda: app.run(host=host, port=port, debug=False, use_reloader=False),
        daemon=True,
        name="WebDashboardAPI",
    )
    thread.start()
    logger.info("Web dashboard API started on http://localhost:%d", port)
    return thread


@app.route("/health")
def health():
    """Health check endpoint for external monitoring."""
    return jsonify({
        "status": "ok",
        "timestamp": datetime.datetime.now(datetime.timezone.utc).isoformat(),
        "trading_mode": config.TRADING_MODE,
        "safe_mode": broker.safe_mode_active,
    })


@app.route("/kill", methods=["POST"])
def kill_switch():
    """Emergency kill switch. Requires KILL_TOKEN header."""
    expected_token = os.environ.get("KILL_TOKEN", "")
    if not expected_token:
        return jsonify({"error": "KILL_TOKEN not configured"}), 503
    provided = request.headers.get("X-Kill-Token", "")
    if provided != expected_token:
        return jsonify({"error": "unauthorized"}), 403
    broker.activate_safe_mode("Remote kill switch activated")
    return jsonify({"status": "safe_mode_activated"})