generated/sdre.py

Python 3.13.9 (tags/v3.13.9:8183fa5, Oct 14 2025, 14:09:13) [MSC v.1944 64 bit (AMD64)] on win32
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"""
Self-Driving Reasoning Engine
"""

import time
import random
from datetime import datetime

class SelfDrivingReasoningEngine:
    def __init__(self):
        self.initialized = False
        self.knowledge_graph = {}
        self.reasoning_patterns = []
    
    def initialize(self):
        """Initialize SDRE"""
        print("Initializing Self-Driving Reasoning Engine...")
        time.sleep(2)  # Simulate complex initialization
        self.initialized = True
        print("SDRE initialized successfully")
    
    def analyze(self, data):
        """Analyze data using self-driving reasoning"""
        if not self.initialized:
            return {'threat_level': 0, 'confidence': 0}
        
        # Simulate complex reasoning
        event = data.get('event', {})
        emotion_score = data.get('emotion_score', 0)
        processed_text = data.get('processed_text', '')
        
        # Calculate threat level based on multiple factors
        base_threat = 0
        
        # Event-based threat calculation
        if event.get('type') == 'network_traffic':
            traffic = event.get('traffic_mbps', 0)
            base_threat = min(100, traffic / 5)  # Scale threat based on traffic
        
        elif event.get('type') == 'login_attempt':
            attempts = event.get('failed_attempts', 0)
            base_threat = min(100, attempts * 20)  # Scale threat based on attempts
...         
...         elif event.get('type') == 'data_transfer':
...             size = event.get('size_mb', 0)
...             base_threat = min(100, size / 5)  # Scale threat based on size
...         
...         # Adjust based on emotional analysis
...         emotion_adjustment = emotion_score * 0.1  # Emotion score influence
...         
...         # Final threat calculation
...         final_threat = min(100, base_threat + emotion_adjustment)
...         
...         # Add some randomness for realistic behavior
...         final_threat = max(0, final_threat + random.randint(-5, 5))
...         
...         return {
...             'threat_level': int(final_threat),
...             'confidence': random.randint(85, 99),
...             'recommendations': self.generate_recommendations(event),
...             'timestamp': datetime.now().isoformat()
...         }
...     
...     def generate_recommendations(self, event):
...         """Generate security recommendations"""
...         recommendations = []
...         
...         if event.get('type') == 'network_traffic':
...             recommendations.append("Monitor network traffic patterns")
...             recommendations.append("Review firewall rules for destination IP")
...         
...         elif event.get('type') == 'login_attempt':
...             recommendations.append("Implement account lockout policy")
...             recommendations.append("Enable multi-factor authentication")
...         
...         elif event.get('type') == 'data_transfer':
...             recommendations.append("Scan transferred files for malware")
...             recommendations.append("Review data loss prevention policies")
...         
...         return recommendations