"""NLP Intent Recognition Module with Security Wrappers"""
from functools import wraps
from security.audit import log_operation
from security.rbac_engine import requires_permission

class IntentRecognizer:
    """Base intent recognition class with security controls"""
    
    def __init__(self, model_name: str):
        self.model_name = model_name
        self._initialize_model()

    @requires_permission("nlp:analyze")
    @log_operation("intent_analysis")
    def analyze(self, text: str) -> dict:
        """Analyze text for intent with security controls"""
        # Placeholder for LangChain integration
        return {
            "intent": "unknown",
            "confidence": 0.0,
            "entities": []
        }

    def _initialize_model(self):
        """Initialize NLP model with encrypted credentials"""
        # Placeholder for model initialization
        pass

def secure_nlp_operation(func):
    """Decorator for secure NLP operations"""
    @wraps(func)
    @requires_permission("nlp:execute")
    @log_operation("nlp_operation")
    def wrapper(*args, **kwargs):
        return func(*args, **kwargs)
    return wrapper