gogo2/monitor_dashboard.py

#!/usr/bin/env python3
"""
Dashboard Performance Monitor

This script monitors the running scalping dashboard for:
- Response time
- Error detection
- Memory usage
- Trade activity
- WebSocket connectivity
"""

import requests
import time
import logging
import psutil
import json
from datetime import datetime

# Setup logging
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
logger = logging.getLogger(__name__)

def check_dashboard_status():
    """Check if dashboard is responding"""
    try:
        start_time = time.time()
        response = requests.get("http://127.0.0.1:8051", timeout=5)
        response_time = (time.time() - start_time) * 1000
        
        if response.status_code == 200:
            logger.info(f"✅ Dashboard responding - {response_time:.1f}ms")
            return True, response_time
        else:
            logger.error(f"❌ Dashboard returned status {response.status_code}")
            return False, response_time
    except Exception as e:
        logger.error(f"❌ Dashboard connection failed: {e}")
        return False, 0

def check_system_resources():
    """Check system resource usage"""
    try:
        # Find Python processes (our dashboard)
        python_processes = []
        for proc in psutil.process_iter(['pid', 'name', 'memory_info', 'cpu_percent']):
            if 'python' in proc.info['name'].lower():
                python_processes.append(proc)
        
        total_memory = sum(proc.info['memory_info'].rss for proc in python_processes) / 1024 / 1024
        total_cpu = sum(proc.info['cpu_percent'] for proc in python_processes)
        
        logger.info(f"📊 System Resources:")
        logger.info(f"   • Python Processes: {len(python_processes)}")
        logger.info(f"   • Total Memory: {total_memory:.1f} MB")
        logger.info(f"   • Total CPU: {total_cpu:.1f}%")
        
        return len(python_processes), total_memory, total_cpu
    except Exception as e:
        logger.error(f"❌ Failed to check system resources: {e}")
        return 0, 0, 0

def check_log_for_errors():
    """Check recent logs for errors"""
    try:
        import os
        log_file = "logs/enhanced_trading.log"
        
        if not os.path.exists(log_file):
            logger.warning("❌ Log file not found")
            return 0, 0
        
        # Read last 100 lines
        with open(log_file, 'r', encoding='utf-8') as f:
            lines = f.readlines()
            recent_lines = lines[-100:] if len(lines) > 100 else lines
        
        error_count = sum(1 for line in recent_lines if 'ERROR' in line)
        warning_count = sum(1 for line in recent_lines if 'WARNING' in line)
        
        if error_count > 0:
            logger.warning(f"⚠️ Found {error_count} errors in recent logs")
        if warning_count > 0:
            logger.info(f"⚠️ Found {warning_count} warnings in recent logs")
        
        return error_count, warning_count
    except Exception as e:
        logger.error(f"❌ Failed to check logs: {e}")
        return 0, 0

def check_trading_activity():
    """Check for recent trading activity"""
    try:
        import os
        import glob
        
        # Look for trade log files
        trade_files = glob.glob("trade_logs/session_*.json")
        
        if trade_files:
            latest_file = max(trade_files, key=os.path.getctime)
            file_size = os.path.getsize(latest_file)
            file_time = datetime.fromtimestamp(os.path.getctime(latest_file))
            
            logger.info(f"📈 Trading Activity:")
            logger.info(f"   • Latest Session: {os.path.basename(latest_file)}")
            logger.info(f"   • Log Size: {file_size} bytes")
            logger.info(f"   • Last Update: {file_time.strftime('%H:%M:%S')}")
            
            return len(trade_files), file_size
        else:
            logger.info("📈 No trading session files found yet")
            return 0, 0
    except Exception as e:
        logger.error(f"❌ Failed to check trading activity: {e}")
        return 0, 0

def main():
    """Main monitoring loop"""
    logger.info("🔍 STARTING DASHBOARD PERFORMANCE MONITOR")
    logger.info("=" * 60)
    
    monitor_count = 0
    
    try:
        while True:
            monitor_count += 1
            logger.info(f"\n🔄 Monitor Check #{monitor_count} - {datetime.now().strftime('%H:%M:%S')}")
            logger.info("-" * 40)
            
            # Check dashboard status
            is_responding, response_time = check_dashboard_status()
            
            # Check system resources
            proc_count, memory_mb, cpu_percent = check_system_resources()
            
            # Check for errors
            error_count, warning_count = check_log_for_errors()
            
            # Check trading activity
            session_count, log_size = check_trading_activity()
            
            # Summary
            logger.info(f"\n📋 MONITOR SUMMARY:")
            logger.info(f"   • Dashboard: {'✅ OK' if is_responding else '❌ DOWN'} ({response_time:.1f}ms)")
            logger.info(f"   • Processes: {proc_count} running")
            logger.info(f"   • Memory: {memory_mb:.1f} MB")
            logger.info(f"   • CPU: {cpu_percent:.1f}%")
            logger.info(f"   • Errors: {error_count} | Warnings: {warning_count}")
            logger.info(f"   • Sessions: {session_count} | Latest Log: {log_size} bytes")
            
            # Performance assessment
            if is_responding and error_count == 0:
                if response_time < 1000 and memory_mb < 2000:
                    logger.info("🎯 PERFORMANCE: EXCELLENT")
                elif response_time < 2000 and memory_mb < 4000:
                    logger.info("✅ PERFORMANCE: GOOD")
                else:
                    logger.info("⚠️ PERFORMANCE: MODERATE")
            else:
                logger.error("❌ PERFORMANCE: POOR")
            
            # Wait before next check
            time.sleep(30)  # Check every 30 seconds
            
    except KeyboardInterrupt:
        logger.info("\n👋 Monitor stopped by user")
    except Exception as e:
        logger.error(f"❌ Monitor failed: {e}")

if __name__ == "__main__":
    main()