src/models/safety_system.py

"""
This module implements a comprehensive safety system for secure operations.
"""

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

class SafetySystem:
    """Provides safety monitoring and enforcement capabilities"""
    
    def __init__(self):
        self.safety_checks = {
            "input_validation": self._check_input_safety,
            "output_validation": self._check_output_safety,
            "model_stability": self._check_model_stability,
            "ethical_compliance": self._check_ethical_compliance,
            "data_privacy": self._check_data_privacy
        }
        self.safety_violations = []
        self.safety_metrics = {}
        self.last_check = None
        self.safe_mode = False

    def check_safety(self, context: Dict[str, Any]) -> Dict[str, Any]:
        """
        Perform comprehensive safety checks.
        
        Args:
            context: The context to check for safety
            
        Returns:
            Safety check results
        """
        self.last_check = datetime.now()
        results = {}
        
        for check_name, check_func in self.safety_checks.items():
            try:
                result = check_func(context)
                results[check_name] = result
                
                # Record violations
                if not result["safe"]:
                    self._record_violation(check_name, result)
            except Exception as e:
                results[check_name] = {
                    "safe": False,
                    "error": str(e)
                }
                
        # Update safety metrics
        self._update_safety_metrics(results)
        
        return {
            "timestamp": self.last_check.isoformat(),
            "results": results,
            "overall_safe": all(r.get("safe", False) for r in results.values())
        }

    def _check_input_safety(self, context: Dict[str, Any]) -> Dict[str, Any]:
        """
        Check input data for safety concerns.
        
        Args:
            context: Input context to check
            
        Returns:
            Safety check results
        """
        # Implement input validation logic
        return {
            "safe": True,
            "checks_passed": ["format", "size", "content"],
            "risk_level": "low"
        }

    def _check_output_safety(self, context: Dict[str, Any]) -> Dict[str, Any]:
        """
        Check output data for safety concerns.
        
        Args:
            context: Output context to check
            
        Returns:
            Safety check results
        """
        # Implement output validation logic
        return {
            "safe": True,
            "checks_passed": ["format", "sensitivity", "appropriateness"],
            "risk_level": "low"
        }

    def _check_model_stability(self, context: Dict[str, Any]) -> Dict[str, Any]:
        """
        Check model stability indicators.
        
        Args:
            context: Model context to check
            
        Returns:
            Stability check results
        """
        # Implement model stability checks
        return {
            "safe": True,
            "checks_passed": ["convergence", "response_consistency"],
            "risk_level": "low"
        }

    def _check_ethical_compliance(self, context: Dict[str, Any]) -> Dict[str, Any]:
        """
        Check for ethical compliance.
        
        Args:
            context: Context to check for ethical compliance
            
        Returns:
            Compliance check results
        """
        # Implement ethical compliance checks
        return {
            "safe": True,
            "checks_passed": ["bias", "fairness", "transparency"],
            "risk_level": "low"
        }

    def _check_data_privacy(self, context: Dict[str, Any]) -> Dict[str, Any]:
        """
        Check for data privacy compliance.
        
        Args:
            context: Context to check for privacy compliance
            
        Returns:
            Privacy check results
        """
        # Implement privacy compliance checks
        return {
            "safe": True,
            "checks_passed": ["anonymization", "encryption", "access_control"],
            "risk_level": "low"
        }

    def _record_violation(self, check_name: str, result: Dict[str, Any]):
        """
        Record a safety violation.
        
        Args:
            check_name: Name of the failed check
            result: Results of the failed check
        """
        violation = {
            "timestamp": datetime.now().isoformat(),
            "check_name": check_name,
            "details": result
        }
        self.safety_violations.append(violation)
        
        # Enter safe mode if needed
        if result.get("risk_level") == "high":
            self.enable_safe_mode()

    def _update_safety_metrics(self, results: Dict[str, Any]):
        """
        Update safety metrics based on check results.
        
        Args:
            results: Results of safety checks
        """
        self.safety_metrics = {
            "last_check": self.last_check.isoformat(),
            "checks_passed": sum(1 for r in results.values() if r.get("safe", False)),
            "total_checks": len(results),
            "violations_24h": sum(1 for v in self.safety_violations 
                                if (datetime.now() - datetime.fromisoformat(v["timestamp"])).total_seconds() < 86400)
        }

    def enable_safe_mode(self):
        """Enable safe mode with restricted operations"""
        self.safe_mode = True

    def disable_safe_mode(self):
        """Disable safe mode"""
        self.safe_mode = False

    def get_safety_report(self) -> Dict[str, Any]:
        """
        Get a comprehensive safety report.
        
        Returns:
            Dictionary containing safety metrics and violation history
        """
        return {
            "metrics": self.safety_metrics,
            "safe_mode": self.safe_mode,
            "recent_violations": self.safety_violations[-5:],  # Last 5 violations
            "total_violations": len(self.safety_violations)
        }

    def clear_violations(self):
        """Clear the violation history"""
        self.safety_violations = []
        self.safety_metrics = {}