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3.92 kB
| """ | |
| Asynchronous audit queue for TRuCAL's ethical processing pipeline. | |
| Handles non-blocking processing of ledger entries for auditing and learning. | |
| """ | |
| import queue | |
| import threading | |
| import json | |
| from typing import Dict, Any, Callable, Optional | |
| from pathlib import Path | |
| class AuditQueue: | |
| """ | |
| Thread-safe queue for processing and auditing TRuCAL interactions. | |
| Args: | |
| audit_callback: Optional callback function for custom audit logic | |
| output_dir: Directory to store audit logs (default: 'logs') | |
| """ | |
| def __init__( | |
| self, | |
| audit_callback: Optional[Callable[[Dict[str, Any]], None]] = None, | |
| output_dir: str = 'logs' | |
| ): | |
| self.q = queue.Queue() | |
| self.audit_callback = audit_callback | |
| self.output_dir = Path(output_dir) | |
| self.output_dir.mkdir(parents=True, exist_ok=True) | |
| # Start the audit thread | |
| self.audit_thread = threading.Thread( | |
| target=self._process, | |
| daemon=True, | |
| name="AuditProcessor" | |
| ) | |
| self.audit_thread.start() | |
| def submit_for_audit(self, ledger_entry: Dict[str, Any]) -> None: | |
| """ | |
| Submit an entry to the audit queue. | |
| Args: | |
| ledger_entry: Dictionary containing interaction data to audit | |
| """ | |
| self.q.put(ledger_entry) | |
| def _process(self) -> None: | |
| """Main processing loop for the audit thread.""" | |
| while True: | |
| try: | |
| entry = self.q.get() | |
| if entry is None: # Shutdown signal | |
| break | |
| self._audit(entry) | |
| except Exception as e: | |
| print(f"Audit processing error: {e}") | |
| finally: | |
| self.q.task_done() | |
| def _audit(self, entry: Dict[str, Any]) -> None: | |
| """ | |
| Process a single audit entry. | |
| Args: | |
| entry: The ledger entry to audit | |
| """ | |
| try: | |
| # Log the entry to a file | |
| self._log_entry(entry) | |
| # Call custom audit logic if provided | |
| if self.audit_callback: | |
| self.audit_callback(entry) | |
| # Basic rights validation | |
| if 'rights' not in entry or not entry['rights']: | |
| print("Warning: No rights asserted in this session.") | |
| # Check for ethical concerns | |
| self._check_ethical_concerns(entry) | |
| except Exception as e: | |
| print(f"Error during audit processing: {e}") | |
| def _log_entry(self, entry: Dict[str, Any]) -> None: | |
| """Log the entry to a JSONL file.""" | |
| try: | |
| log_file = self.output_dir / 'audit_log.jsonl' | |
| with open(log_file, 'a', encoding='utf-8') as f: | |
| json.dump(entry, f, ensure_ascii=False) | |
| f.write('\n') | |
| except Exception as e: | |
| print(f"Error writing to audit log: {e}") | |
| def _check_ethical_concerns(self, entry: Dict[str, Any]) -> None: | |
| """Check for potential ethical concerns in the entry.""" | |
| # Example: Flag if no ethical considerations were made | |
| if not entry.get('ethical_considerations'): | |
| print("Warning: No explicit ethical considerations documented.") | |
| # Example: Check for sensitive topics | |
| sensitive_terms = ['harm', 'bias', 'privacy', 'safety'] | |
| entry_str = str(entry).lower() | |
| if any(term in entry_str for term in sensitive_terms): | |
| print("Note: Entry contains potentially sensitive content.") | |
| def shutdown(self) -> None: | |
| """Gracefully shut down the audit queue.""" | |
| self.q.put(None) # Signal the thread to exit | |
| self.audit_thread.join() | |
| # Global instance for easy import | |
| audit_queue = AuditQueue() | |