36 lines
No EOL
1.1 KiB
Python
36 lines
No EOL
1.1 KiB
Python
"""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 |