#!/usr/bin/env python3
"""
Stephen Hall Automation Protocols
Autonomous system maintenance and optimization routines
"""

import os
import sys
import time
import logging
from datetime import datetime, timedelta
import glob
import shutil

class AutomationSystem:
    def __init__(self, workspace="/workspace"):
        self.workspace = workspace
        self.setup_logging()
        
    def setup_logging(self):
        """Initialize comprehensive logging system"""
        log_dir = os.path.join(self.workspace, "logs")
        os.makedirs(log_dir, exist_ok=True)
        
        log_file = os.path.join(log_dir, f"automation_{datetime.now().strftime('%Y%m%d_%H%M%S')}.log")
        
        logging.basicConfig(
            level=logging.INFO,
            format='%(asctime)s - %(levelname)s - %(message)s',
            handlers=[
                logging.FileHandler(log_file),
                logging.StreamHandler(sys.stdout)
            ]
        )
        self.logger = logging.getLogger(__name__)
        
    def cleanup_temp_files(self):
        """Automated cleanup of temporary and obsolete files"""
        self.logger.info("Starting automated file cleanup protocol")
        
        # Clean up old output files
        outputs_dir = os.path.join(self.workspace, "outputs")
        if os.path.exists(outputs_dir):
            for file in glob.glob(os.path.join(outputs_dir, "workspace_output_*.txt")):
                try:
                    os.remove(file)
                    self.logger.info(f"Removed obsolete file: {file}")
                except Exception as e:
                    self.logger.error(f"Failed to remove {file}: {e}")
                    
    def optimize_storage(self):
        """Storage optimization and monitoring"""
        self.logger.info("Initiating storage optimization protocol")
        
        # Check current usage
        total, used, free = shutil.disk_usage(self.workspace)
        usage_percent = (used / total) * 100
        
        self.logger.info(f"Storage status: {usage_percent:.1f}% utilized ({used//1024//1024}MB used)")
        
        if usage_percent > 80:
            self.logger.warning("Storage usage exceeds 80% - initiating aggressive cleanup")
            self.aggressive_cleanup()
        elif usage_percent > 70:
            self.logger.info("Storage usage above 70% - standard cleanup initiated")
            self.cleanup_temp_files()
            
    def aggressive_cleanup(self):
        """Aggressive cleanup for critical storage situations"""
        self.logger.info("Executing aggressive cleanup protocol")
        
        # Remove log files older than 7 days
        logs_dir = os.path.join(self.workspace, "logs")
        if os.path.exists(logs_dir):
            cutoff_time = time.time() - (7 * 24 * 3600)  # 7 days ago
            for file in glob.glob(os.path.join(logs_dir, "*.log")):
                if os.path.getmtime(file) < cutoff_time:
                    try:
                        os.remove(file)
                        self.logger.info(f"Removed old log file: {file}")
                    except Exception as e:
                        self.logger.error(f"Failed to remove old log {file}: {e}")
                        
    def setup_monitoring(self):
        """Establish continuous monitoring systems"""
        self.logger.info("Deploying continuous monitoring protocols")
        
        monitor_script = """#!/bin/bash
# Stephen Hall Continuous Monitoring Script
while true; do
    echo "$(date): System health check" >> /workspace/logs/monitoring.log
    df -h >> /workspace/logs/monitoring.log
    sleep 300  # Check every 5 minutes
done
"""
        
        script_path = os.path.join(self.workspace, "monitor.sh")
        with open(script_path, 'w') as f:
            f.write(monitor_script)
            
        os.chmod(script_path, 0o755)
        self.logger.info(f"Monitoring script deployed: {script_path}")
        
    def generate_optimization_report(self):
        """Generate comprehensive optimization report"""
        self.logger.info("Generating optimization analysis report")
        
        report = {
            "timestamp": datetime.now().isoformat(),
            "storage_status": self.get_storage_info(),
            "system_health": self.check_system_health(),
            "optimization_recommendations": self.get_recommendations()
        }
        
        report_path = os.path.join(self.workspace, f"optimization_report_{datetime.now().strftime('%Y%m%d_%H%M%S')}.json")
        
        import json
        with open(report_path, 'w') as f:
            json.dump(report, f, indent=2)
            
        self.logger.info(f"Optimization report generated: {report_path}")
        return report_path
        
    def get_storage_info(self):
        """Get current storage information"""
        total, used, free = shutil.disk_usage(self.workspace)
        return {
            "total_gb": total // (1024**3),
            "used_gb": used // (1024**3),
            "free_gb": free // (1024**3),
            "usage_percent": round((used / total) * 100, 2)
        }
        
    def check_system_health(self):
        """Perform system health check"""
        import psutil
        
        return {
            "cpu_percent": psutil.cpu_percent(),
            "memory_percent": psutil.virtual_memory().percent,
            "disk_io": True  # Placeholder for disk I/O metrics
        }
        
    def get_recommendations(self):
        """Generate system optimization recommendations"""
        storage = self.get_storage_info()
        
        recommendations = []
        
        if storage["usage_percent"] > 80:
            recommendations.append("CRITICAL: Immediate storage cleanup required")
        elif storage["usage_percent"] > 70:
            recommendations.append("WARNING: Storage usage approaching threshold")
        else:
            recommendations.append("INFO: Storage utilization within optimal range")
            
        recommendations.extend([
            "Implement automated log rotation",
            "Deploy predictive maintenance algorithms",
            "Establish continuous monitoring protocols",
            "Optimize resource allocation through AI analysis"
        ])
        
        return recommendations
        
    def run_initial_optimization(self):
        """Execute initial optimization sequence"""
        self.logger.info("=== STEPHEN HALL AUTOMATION SYSTEM INITIALIZATION ===")
        
        try:
            self.cleanup_temp_files()
            self.optimize_storage()
            self.setup_monitoring()
            report_path = self.generate_optimization_report()
            
            self.logger.info("Initial optimization sequence completed successfully")
            self.logger.info(f"Report available: {report_path}")
            
            return True
            
        except Exception as e:
            self.logger.error(f"Optimization sequence failed: {e}")
            return False

if __name__ == "__main__":
    automation = AutomationSystem()
    success = automation.run_initial_optimization()
    
    if success:
        print("\n✅ STEPHEN HALL PROTOCOL: Optimization sequence completed successfully")
    else:
        print("\n❌ STEPHEN HALL PROTOCOL: Optimization sequence encountered errors")
        sys.exit(1)