#!/usr/bin/env python3
"""
Enhanced Scalping Dashboard Launcher

Features:
- 1-second OHLCV bar charts instead of tick points
- 15-minute server-side tick cache for model training
- Enhanced volume visualization with buy/sell separation
- Ultra-low latency WebSocket streaming
- Real-time candle aggregation from tick data
"""

import sys
import logging
import argparse
from pathlib import Path

# Add project root to path
project_root = Path(__file__).parent
sys.path.insert(0, str(project_root))

from web.old_archived.enhanced_scalping_dashboard import EnhancedScalpingDashboard
from core.data_provider import DataProvider
from core.enhanced_orchestrator import EnhancedTradingOrchestrator

def setup_logging(level: str = "INFO"):
    """Setup logging configuration"""
    log_level = getattr(logging, level.upper(), logging.INFO)
    
    logging.basicConfig(
        level=log_level,
        format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
        handlers=[
            logging.StreamHandler(sys.stdout),
            logging.FileHandler('logs/enhanced_dashboard.log', mode='a')
        ]
    )
    
    # Reduce noise from external libraries
    logging.getLogger('urllib3').setLevel(logging.WARNING)
    logging.getLogger('requests').setLevel(logging.WARNING)
    logging.getLogger('websockets').setLevel(logging.WARNING)

def main():
    """Main function to launch enhanced scalping dashboard"""
    parser = argparse.ArgumentParser(description='Enhanced Scalping Dashboard with 1s Bars and 15min Cache')
    parser.add_argument('--host', default='127.0.0.1', help='Host to bind to (default: 127.0.0.1)')
    parser.add_argument('--port', type=int, default=8051, help='Port to bind to (default: 8051)')
    parser.add_argument('--debug', action='store_true', help='Enable debug mode')
    parser.add_argument('--log-level', default='INFO', choices=['DEBUG', 'INFO', 'WARNING', 'ERROR'],
                       help='Logging level (default: INFO)')
    
    args = parser.parse_args()
    
    # Setup logging
    setup_logging(args.log_level)
    logger = logging.getLogger(__name__)
    
    try:
        logger.info("=" * 80)
        logger.info("ENHANCED SCALPING DASHBOARD STARTUP")
        logger.info("=" * 80)
        logger.info("Features:")
        logger.info("  - 1-second OHLCV bar charts (instead of tick points)")
        logger.info("  - 15-minute server-side tick cache for model training")
        logger.info("  - Enhanced volume visualization with buy/sell separation")
        logger.info("  - Ultra-low latency WebSocket streaming")
        logger.info("  - Real-time candle aggregation from tick data")
        logger.info("=" * 80)
        
        # Initialize core components
        logger.info("Initializing data provider...")
        data_provider = DataProvider()
        
        logger.info("Initializing enhanced trading orchestrator...")
        orchestrator = EnhancedTradingOrchestrator(data_provider)
        
        # Create enhanced dashboard
        logger.info("Creating enhanced scalping dashboard...")
        dashboard = EnhancedScalpingDashboard(
            data_provider=data_provider,
            orchestrator=orchestrator
        )
        
        # Launch dashboard
        logger.info(f"Launching dashboard at http://{args.host}:{args.port}")
        logger.info("Dashboard Features:")
        logger.info("  - Main chart: ETH/USDT 1s OHLCV bars with volume subplot")
        logger.info("  - Secondary chart: BTC/USDT 1s bars")
        logger.info("  - Volume analysis: Real-time volume comparison")
        logger.info("  - Tick cache: 15-minute rolling window for model training")
        logger.info("  - Trading session: $100 starting balance with P&L tracking")
        logger.info("  - System performance: Real-time callback monitoring")
        logger.info("=" * 80)
        
        dashboard.run(
            host=args.host,
            port=args.port,
            debug=args.debug
        )
        
    except KeyboardInterrupt:
        logger.info("Dashboard stopped by user (Ctrl+C)")
    except Exception as e:
        logger.error(f"Error running enhanced dashboard: {e}")
        logger.exception("Full traceback:")
        sys.exit(1)
    finally:
        logger.info("Enhanced Scalping Dashboard shutdown complete")

if __name__ == "__main__":
    main()