"""
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()