#!/usr/bin/env python3
"""
Elizabeth Training Monitor
Monitors training processes and automatically restarts if needed
"""

import os
import sys
import time
import subprocess
import signal
import logging
from datetime import datetime
from pathlib import Path

# Set up logging
logging.basicConfig(
    level=logging.INFO,
    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
    handlers=[
        logging.FileHandler('/workspace/elizabeth_logs/training_monitor.log'),
        logging.StreamHandler(sys.stdout)
    ]
)
logger = logging.getLogger(__name__)

class TrainingMonitor:
    """Monitor and manage Elizabeth training processes"""
    
    def __init__(self):
        self.training_script = "/workspace/elizabeth-repo/src/elizabeth_main.py"
        self.max_restarts = 10
        self.restart_delay = 30  # seconds
        self.process = None
        self.restart_count = 0
        
        # Ensure logs directory exists
        os.makedirs("/workspace/elizabeth_logs", exist_ok=True)
    
    def start_training(self):
        """Start the training process"""
        try:
            logger.info("Starting Elizabeth training session...")
            
            # Start Elizabeth in interactive mode with enhanced capabilities
            self.process = subprocess.Popen(
                [
                    sys.executable, self.training_script,
                    "--interactive",
                    "--version", "v0.0.2"
                ],
                stdout=subprocess.PIPE,
                stderr=subprocess.PIPE,
                text=True,
                bufsize=1,
                universal_newlines=True
            )
            
            logger.info(f"Training process started with PID: {self.process.pid}")
            return True
            
        except Exception as e:
            logger.error(f"Failed to start training: {e}")
            return False
    
    def monitor_process(self):
        """Monitor the training process and handle output"""
        try:
            # Monitor stdout and stderr
            while True:
                if self.process.stdout:
                    output = self.process.stdout.readline()
                    if output:
                        logger.info(f"TRAINING: {output.strip()}")
                
                if self.process.stderr:
                    error = self.process.stderr.readline()
                    if error:
                        logger.error(f"TRAINING_ERROR: {error.strip()}")
                
                # Check if process is still alive
                return_code = self.process.poll()
                if return_code is not None:
                    logger.warning(f"Training process exited with code: {return_code}")
                    return return_code
                
                time.sleep(1)
                
        except Exception as e:
            logger.error(f"Monitoring error: {e}")
            return -1
    
    def graceful_shutdown(self):
        """Gracefully shutdown the training process"""
        if self.process:
            try:
                logger.info("Sending graceful shutdown signal...")
                self.process.terminate()
                
                # Wait for process to terminate
                for _ in range(10):
                    if self.process.poll() is not None:
                        break
                    time.sleep(1)
                
                # Force kill if still running
                if self.process.poll() is None:
                    logger.warning("Process not terminating, forcing kill...")
                    self.process.kill()
                
                logger.info("Training process shutdown complete")
                
            except Exception as e:
                logger.error(f"Shutdown error: {e}")
    
    def run_monitoring_loop(self):
        """Main monitoring loop with automatic restarts"""
        logger.info("🚀 Starting Elizabeth Training Monitor")
        logger.info(f"Max restarts: {self.max_restarts}")
        logger.info(f"Restart delay: {self.restart_delay}s")
        
        while self.restart_count <= self.max_restarts:
            try:
                # Start training
                if not self.start_training():
                    logger.error("Failed to start training process")
                    break
                
                # Monitor process
                return_code = self.monitor_process()
                
                # Check if we should restart
                if return_code == 0:
                    logger.info("Training completed successfully")
                    break
                elif self.restart_count < self.max_restarts:
                    self.restart_count += 1
                    logger.warning(f"Restarting training ({self.restart_count}/{self.max_restarts})...")
                    logger.info(f"Waiting {self.restart_delay} seconds before restart...")
                    time.sleep(self.restart_delay)
                else:
                    logger.error("Max restart attempts reached")
                    break
                    
            except KeyboardInterrupt:
                logger.info("Received interrupt signal, shutting down...")
                break
            except Exception as e:
                logger.error(f"Unexpected error in monitoring loop: {e}")
                self.restart_count += 1
                if self.restart_count <= self.max_restarts:
                    logger.info(f"Restarting after error... ({self.restart_count}/{self.max_restarts})")
                    time.sleep(self.restart_delay)
                else:
                    break
        
        # Cleanup
        self.graceful_shutdown()
        logger.info("Training monitor shutting down")
    
    def get_status(self):
        """Get current monitoring status"""
        return {
            "restart_count": self.restart_count,
            "max_restarts": self.max_restarts,
            "process_active": self.process and self.process.poll() is None,
            "process_pid": self.process.pid if self.process else None,
            "timestamp": datetime.now().isoformat()
        }

def main():
    """Command line interface"""
    import argparse
    
    parser = argparse.ArgumentParser(description="Elizabeth Training Monitor")
    parser.add_argument("--start", action="store_true", help="Start monitoring")
    parser.add_argument("--status", action="store_true", help="Show status")
    parser.add_argument("--stop", action="store_true", help="Stop monitoring")
    parser.add_argument("--max-restarts", type=int, default=10, help="Max restart attempts")
    parser.add_argument("--restart-delay", type=int, default=30, help="Restart delay in seconds")
    
    args = parser.parse_args()
    
    monitor = TrainingMonitor()
    monitor.max_restarts = args.max_restarts
    monitor.restart_delay = args.restart_delay
    
    if args.start:
        monitor.run_monitoring_loop()
    elif args.status:
        status = monitor.get_status()
        print("Training Monitor Status:")
        for key, value in status.items():
            print(f"  {key}: {value}")
    elif args.stop:
        monitor.graceful_shutdown()
        print("Shutdown signal sent")
    else:
        print("No action specified. Use --help for options.")

if __name__ == "__main__":
    main()