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| """ | |
| 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}"} |