""" 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 = {}