"""
This module implements a self-healing system for automated recovery and maintenance.
"""

import asyncio
from datetime import datetime
from typing import Dict, Any, List, Optional

class SelfHealingSystem:
    """Provides self-healing capabilities for system components"""
    
    def __init__(self, config: Dict[str, Any]):
        self.config = config
        self.health_metrics = {}
        self.healing_actions = []
        self.last_check = None
        self.healing_threshold = config.get("healing_threshold", 0.7)
        self.check_interval = config.get("health_check_interval", 300)  # 5 minutes

    async def check_health(self) -> Dict[str, Any]:
        """
        Check the health status of the system.
        
        Returns:
            Dictionary containing health metrics
        """
        self.last_check = datetime.now()
        
        # Gather system metrics
        metrics = await self._gather_metrics()
        
        # Update health metrics
        self.health_metrics.update(metrics)
        
        # Evaluate if healing is needed
        if self._needs_healing(metrics):
            await self._initiate_healing()
            
        return self.get_health_summary()

    async def _gather_metrics(self) -> Dict[str, float]:
        """
        Gather various system health metrics.
        
        Returns:
            Dictionary of metric names and values
        """
        return {
            "memory_usage": await self._check_memory_usage(),
            "response_time": await self._check_response_time(),
            "error_rate": await self._check_error_rate(),
            "model_coherence": await self._check_model_coherence(),
            "system_stability": await self._check_system_stability()
        }

    def _needs_healing(self, metrics: Dict[str, float]) -> bool:
        """
        Determine if the system needs healing based on metrics.
        
        Args:
            metrics: Dictionary of system metrics
            
        Returns:
            True if healing is needed, False otherwise
        """
        # Calculate average health score
        health_score = sum(metrics.values()) / len(metrics)
        return health_score < self.healing_threshold

    async def _initiate_healing(self):
        """
        Initiate self-healing procedures.
        """
        healing_actions = [
            self._heal_memory_issues(),
            self._heal_response_issues(),
            self._heal_model_issues(),
            self._heal_stability_issues()
        ]
        
        # Execute healing actions concurrently
        await asyncio.gather(*healing_actions)
        
        # Log healing action
        self.healing_actions.append({
            "timestamp": datetime.now().isoformat(),
            "metrics": self.health_metrics.copy(),
            "actions": ["memory", "response", "model", "stability"]
        })

    async def _heal_memory_issues(self):
        """Handle memory-related issues"""
        # Implementation for memory healing
        pass

    async def _heal_response_issues(self):
        """Handle response time issues"""
        # Implementation for response healing
        pass

    async def _heal_model_issues(self):
        """Handle model coherence issues"""
        # Implementation for model healing
        pass

    async def _heal_stability_issues(self):
        """Handle system stability issues"""
        # Implementation for stability healing
        pass

    async def _check_memory_usage(self) -> float:
        """Check system memory usage"""
        return 0.8  # Placeholder: 80% healthy

    async def _check_response_time(self) -> float:
        """Check system response time"""
        return 0.9  # Placeholder: 90% healthy

    async def _check_error_rate(self) -> float:
        """Check system error rate"""
        return 0.95  # Placeholder: 95% healthy

    async def _check_model_coherence(self) -> float:
        """Check model coherence"""
        return 0.85  # Placeholder: 85% healthy

    async def _check_system_stability(self) -> float:
        """Check overall system stability"""
        return 0.9  # Placeholder: 90% healthy

    def get_health_summary(self) -> Dict[str, Any]:
        """
        Get a summary of the system's health status.
        
        Returns:
            Dictionary containing health summary
        """
        return {
            "last_check": self.last_check.isoformat() if self.last_check else None,
            "metrics": self.health_metrics,
            "recent_healing_actions": self.healing_actions[-5:],  # Last 5 healing actions
            "overall_health": sum(self.health_metrics.values()) / len(self.health_metrics) if self.health_metrics else 0
        }

    def get_healing_history(self) -> List[Dict[str, Any]]:
        """
        Get the history of healing actions.
        
        Returns:
            List of healing action records
        """
        return self.healing_actions

    async def manual_heal(self, component: str) -> Dict[str, Any]:
        """
        Manually trigger healing for a specific component.
        
        Args:
            component: Name of the component to heal
            
        Returns:
            Results of the healing action
        """
        healing_map = {
            "memory": self._heal_memory_issues,
            "response": self._heal_response_issues,
            "model": self._heal_model_issues,
            "stability": self._heal_stability_issues
        }
        
        if component in healing_map:
            await healing_map[component]()
            return {"status": "success", "component": component}
        else:
            return {"status": "error", "message": f"Unknown component: {component}"}