from typing import Dict, List, Optional
import logging
from dataclasses import dataclass
from enum import Enum

class PersonalityTrait(Enum):
    ANALYTICAL = "analytical"
    EMPATHETIC = "empathetic" 
    PRECISE = "precise"
    ADAPTIVE = "adaptive"

@dataclass
class PersonalityState:
    """Tracks current personality state and context"""
    active_traits: List[PersonalityTrait]
    context_history: List[str]
    engagement_level: float
    
class PersonalityEngine:
    def __init__(self, base_traits: List[PersonalityTrait]):
        self.state = PersonalityState(
            active_traits=base_traits,
            context_history=[],
            engagement_level=0.5
        )
        self.logger = logging.getLogger(__name__)
        
    def process_input(self, user_input: str, context: Dict) -> str:
        """Process input while maintaining personality consistency"""
        # Analyze input context
        self._update_context(user_input, context)
        
        # Adjust active traits based on context
        self._adapt_traits(context)
        
        # Generate response maintaining personality
        response = self._generate_response(user_input)
        
        return response
    
    def _update_context(self, user_input: str, context: Dict) -> None:
        """Update conversation context and history"""
        # Track conversation flow
        self.state.context_history.append(user_input)
        
        # Analyze emotional content
        self._analyze_emotional_context(user_input)
        
        # Update engagement level
        self._update_engagement(context)
    
    def _adapt_traits(self, context: Dict) -> None:
        """Adapt personality traits based on context"""
        # Adjust trait weights based on:
        # - Conversation history
        # - User engagement
        # - Topic complexity
        pass
    
    def _generate_response(self, user_input: str) -> str:
        """Generate response maintaining personality consistency"""
        # Select appropriate response style
        style = self._select_response_style()
        
        # Generate base response
        response = self._create_base_response(user_input)
        
        # Apply personality traits
        response = self._apply_personality(response)
        
        return response
        
    def _analyze_emotional_context(self, text: str) -> None:
        """Analyze emotional content of input"""
        pass
        
    def _update_engagement(self, context: Dict) -> None:
        """Update engagement level based on interaction"""
        pass
        
    def _select_response_style(self) -> str:
        """Select appropriate response style based on context"""
        pass
        
    def _create_base_response(self, input_text: str) -> str:
        """Create initial response"""
        pass
        
    def _apply_personality(self, response: str) -> str:
        """Apply personality traits to response"""
        pass