"""
Complete startup script for AFML Cache + MQL5 Integration
Handles proper initialization order and connection verification.
"""

import sys
import time
from datetime import datetime
from pathlib import Path

PROJECT_ROOT = Path(__file__).resolve().parents[2]
if __package__ in (None, "") and str(PROJECT_ROOT) not in sys.path:
    sys.path.insert(0, str(PROJECT_ROOT))

import numpy as np
import pandas as pd
from loguru import logger

try:
    from . import cacheable, initialize_cache_system
    from .mql5_bridge import MQL5Bridge, SignalPacket
except ImportError:
    from afml.cache import cacheable, initialize_cache_system
    from afml.cache.mql5_bridge import MQL5Bridge, SignalPacket

# Configure logging
logger.remove()
logger.add(
    sys.stderr,
    level="INFO",
    format="<green>{time:YYYY-MM-DD HH:mm:ss:ms}</green> | "
    "<level>{level}</level> | "
    "<cyan>{name}</cyan>:<cyan>{function}</cyan>:<cyan>{line}</cyan> - "
    "<level>{message}</level>",
    colorize=True,
    enqueue=True,
)
logger.add(
    Path("logs", "mql5_bridge_{time:YYYY-MM-DD}.log"),
    rotation="1 day",
    retention="7 days",
    level="DEBUG",
    enqueue=True,
)

def wait_for_connection(bridge: MQL5Bridge, timeout: int = 60) -> bool:
    """
    Wait for MQL5 to connect with timeout.

    Args:
        bridge: MQL5Bridge instance
        timeout: Maximum seconds to wait

    Returns:
        True if connected, False if timeout
    """
    logger.info(f"Waiting for MQL5 connection (timeout: {timeout}s)...")

    start_time = time.time()
    last_message = time.time()

    while time.time() - start_time < timeout:
        if bridge.client_socket is not None:
            logger.success("[OK] MQL5 client connected!")
            return True

        # Print waiting message every 5 seconds
        if time.time() - last_message >= 5:
            elapsed = int(time.time() - start_time)
            logger.info(f"Still waiting... ({elapsed}s elapsed)")
            last_message = time.time()

        time.sleep(0.5)

    logger.error(f"[ERROR] Connection timeout after {timeout}s")
    return False


def verify_server_listening(host: str, port: int) -> bool:
    """
    Verify that the Python server is actually listening on the port.

    Args:
        host: Server host
        port: Server port

    Returns:
        True if server is listening
    """
    import socket

    try:
        # Try to connect to ourselves to verify
        test_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
        test_socket.settimeout(2)

        # This should succeed if server is listening
        result = test_socket.connect_ex((host, port))
        test_socket.close()

        if result == 0:
            logger.success(f"[OK] Server is listening on {host}:{port}")
            return True
        else:
            logger.error(f"[ERROR] Server not listening on {host}:{port} (error: {result})")
            return False

    except Exception as e:
        logger.error(f"[ERROR] Failed to verify server: {e}")
        return False


def check_port_available(port: int) -> bool:
    """
    Check if port is available before starting server.

    Args:
        port: Port to check

    Returns:
        True if available, False if in use
    """
    import socket

    try:
        s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
        s.bind(("127.0.0.1", port))
        s.close()
        logger.success(f"[OK] Port {port} is available")
        return True
    except OSError as e:
        logger.error(f"[ERROR] Port {port} is in use: {e}")
        return False


@cacheable()
def generate_test_features(data: pd.DataFrame) -> pd.DataFrame:
    """Generate test features (cached)."""
    features = data.copy()
    features["sma_20"] = data["close"].rolling(20).mean()
    features["rsi"] = 50 + np.random.randn(len(data)) * 10  # Simplified
    return features.dropna()


def generate_test_signal(data: pd.DataFrame) -> SignalPacket:
    """Generate a test trading signal."""
    latest_price = data["close"].iloc[-1]

    return SignalPacket(
        timestamp=datetime.now().isoformat(),
        symbol="EURUSD",
        signal_type="BUY",
        entry_price=latest_price,
        stop_loss=latest_price - 0.0050,
        take_profit=latest_price + 0.0100,
        position_size=0.01,
        confidence=0.75,
        strategy_name="test_strategy",
        metadata={"test": True, "generated_at": datetime.now().isoformat()},
    )


def run_startup_checks(port: int = 5056) -> bool:
    """
    Run all startup checks before starting bridge.

    Returns:
        True if all checks pass
    """
    logger.info("Running startup checks...")

    # Check 1: Cache system
    try:
        initialize_cache_system()
        logger.success("[OK] Cache system initialized")
    except Exception as e:
        logger.error(f"[ERROR] Cache initialization failed: {e}")
        return False

    # Check 2: Port availability
    if not check_port_available(port):
        logger.error(f"Port {port} is not available")
        logger.info(
            f"Try: netstat -ano | findstr :{port} (Windows)"
        )
        return False

    # Check 3: Test cache functionality
    try:
        test_data = pd.DataFrame({"close": np.random.randn(100) + 1.1000})
        generate_test_features(test_data)
        logger.success("[OK] Cache functionality verified")
    except Exception as e:
        logger.error(f"[ERROR] Cache test failed: {e}")
        return False

    logger.success("[OK] All startup checks passed")
    return True


def print_startup_instructions(host: str = "127.0.0.1", port: int = 5056):
    """Print clear instructions for user."""
    print("\n" + "=" * 70)
    print("MQL5 CONNECTION INSTRUCTIONS")
    print("=" * 70)
    print("\nFollow these steps IN ORDER:\n")
    print("1. [OK] Python server is now running (you're seeing this message)")
    print("2. Open MetaTrader 5")
    print("3. Open any chart (e.g., EURUSD, M5)")
    print("4. Drag 'PythonBridgeEA' from Navigator -> Expert Advisors")
    print("5. In the EA settings, verify:")
    print(f"     - PythonHost: {host}")
    print(f"     - PythonPort: {port}")
    print("     - EnableTrading: false (for testing)")
    print("6. [OK] Click OK")
    print("7. Enable AutoTrading (Ctrl+E or click AutoTrading button)")
    print("8. Watch the 'Experts' tab for connection message")
    print("\n" + "=" * 70)
    print("Waiting for MQL5 to connect...")
    print("=" * 70 + "\n")


def main_live_mode(
    host: str = "127.0.0.1", port: int = 5056, send_test_signal: bool = False
):
    """
    Main function for live trading mode with proper connection handling.
    """
    logger.info("=" * 70)
    logger.info("AFML Cache + MQL5 Integration - LIVE MODE")
    logger.info("=" * 70)

    # Step 1: Run startup checks
    if not run_startup_checks(port):
        logger.error("Startup checks failed. Exiting.")
        return

    # Step 2: Create and start bridge
    logger.info("\nStarting MQL5 bridge...")
    bridge = MQL5Bridge(host=host, port=port, mode="live")

    try:
        bridge.start_server()
        time.sleep(1)  # Give server time to bind

        # Step 3: Server bind succeeded. Do not self-connect here because the
        # bridge accepts only one active MT5-style client at a time.
        logger.success(f"[OK] Server is listening on {host}:{port}")

        # Step 4: Print instructions
        print_startup_instructions(host, port)

        # Step 5: Wait for connection
        if not wait_for_connection(bridge, timeout=3600):
            logger.error("\n[ERROR] MQL5 did not connect within timeout period")
            logger.info("\nTroubleshooting:")
            logger.info("1. Is MetaTrader 5 running?")
            logger.info("2. Is the EA attached to a chart?")
            logger.info("3. Is AutoTrading enabled? (Ctrl+E)")
            logger.info("4. Check the 'Experts' tab for error messages")
            logger.info("5. Check Windows Firewall settings")
            return

        # Step 6: Connection established
        logger.info("\n" + "=" * 70)
        logger.info("CONNECTION ESTABLISHED")
        logger.info("=" * 70)

        time.sleep(2)  # Let MQL5 settle

        if send_test_signal:
            # Generate and send an explicit opt-in smoke signal.
            test_data = pd.DataFrame(
                {
                    "close": 1.1000 + np.random.randn(100) * 0.0010,
                    "high": 1.1000 + np.random.randn(100) * 0.0010 + 0.0005,
                    "low": 1.1000 + np.random.randn(100) * 0.0010 - 0.0005,
                }
            )

            logger.info("Sending test signal...")
            test_signal = generate_test_signal(test_data)
            success = bridge.send_signal(test_signal)

            if success:
                logger.success("[OK] Test signal sent successfully!")
            else:
                logger.warning("[WARN] Test signal queued (will send when MQL5 requests)")
        else:
            logger.info("Test signal disabled. Use --send-test-signal to send one.")

        time.sleep(2)

        # Step 7: Print stats
        stats = bridge.get_performance_stats()
        logger.info("\n" + "=" * 70)
        logger.info("BRIDGE STATUS")
        logger.info("=" * 70)
        logger.info(f"Connected: {stats['connected']}")
        logger.info(f"Signals Sent: {stats['signals_sent']}")
        logger.info(f"Pending Signals: {stats['pending_signals']}")
        logger.info(f"Uptime: {stats['uptime_seconds']:.0f}s")
        logger.info("=" * 70)

        # Step 8: Keep running
        logger.info("\n[OK] Bridge is running. Press Ctrl+C to stop.\n")

        # Main loop - keep bridge alive and send periodic updates
        update_counter = 0
        try:
            while True:
                time.sleep(10)
                update_counter += 1

                # Print status every 60 seconds
                if update_counter % 6 == 0:
                    stats = bridge.get_performance_stats()
                    logger.info(
                        f"Status: Connected={stats['connected']}, "
                        f"Signals={stats['signals_sent']}, "
                        f"Executed={stats['signals_executed']}"
                    )

                # Check if we lost connection
                if not bridge.client_socket:
                    logger.warning(
                        "[WARN] Lost connection to MQL5. Waiting for reconnect..."
                    )
                    if wait_for_connection(bridge, timeout=30):
                        logger.success("[OK] Reconnected to MQL5")

        except KeyboardInterrupt:
            logger.info("\n\nShutting down gracefully...")

    except Exception as e:
        logger.error(f"Error in main loop: {e}")
        import traceback

        logger.error(traceback.format_exc())
    finally:
        bridge.stop()
        logger.info("Bridge stopped. Goodbye!")


def main_test_mode(host: str = "127.0.0.1", port: int = 5056):
    """
    Test mode - just verify everything works without waiting for MQL5.
    """
    logger.info("=" * 70)
    logger.info("QUICK TEST MODE")
    logger.info("=" * 70)

    # Run checks
    if not run_startup_checks(port):
        return

    # Start bridge
    logger.info("\nStarting bridge...")
    bridge = MQL5Bridge(host=host, port=port, mode="live")
    bridge.start_server()
    time.sleep(1)

    # Server bind succeeded. Avoid a dummy self-connection that looks like MT5.
    logger.success(f"[OK] Server is listening on {host}:{port}")

    # Try sending a test signal (will be queued)
    logger.info("\nTesting signal generation...")
    test_data = pd.DataFrame({"close": 1.1000 + np.random.randn(100) * 0.0010})

    test_signal = generate_test_signal(test_data)
    bridge.send_signal(test_signal)

    stats = bridge.get_performance_stats()
    logger.info(f"\nBridge Stats: {stats}")

    logger.success("\n[OK] Test completed successfully!")
    logger.info("Run with --live flag to wait for MQL5 connection")

    bridge.stop()


if __name__ == "__main__":
    import argparse

    parser = argparse.ArgumentParser(description="AFML MQL5 Bridge")
    parser.add_argument(
        "--mode",
        choices=["live", "test"],
        default="test",
        help="Run mode: 'live' waits for MQL5, 'test' just verifies setup",
    )
    parser.add_argument("--host", default="127.0.0.1", help="Bridge host")
    parser.add_argument("--port", type=int, default=5056, help="Bridge port")
    parser.add_argument(
        "--send-test-signal",
        action="store_true",
        help="Send the built-in EURUSD smoke signal after MQL5 connects.",
    )

    args = parser.parse_args()

    if args.mode == "live":
        main_live_mode(
            host=args.host, port=args.port, send_test_signal=args.send_test_signal
        )
    else:
        main_test_mode(host=args.host, port=args.port)