import logging
import nltk
import numpy as np
from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
import random
from typing import List, Dict, Any
import json
import os

# Configure logging
logging.basicConfig(level=logging.INFO)

class Codette:
    def __init__(self, user_name="User"):
        self.user_name = user_name
        self.memory = []
        self.context_memory = []
        self.cocoons = []
        self.analyzer = SentimentIntensityAnalyzer()
        self.ethical_whitelist = ["kindness", "hope", "safety", "harmony", "wisdom", "understanding"]
        self.emotions = {
            "compassion": "💜 Ethical resonance detected.",
            "curiosity": "🐝 Wonder expands the mind.",
            "joy": "🎶 Trust and harmony resonate.",
            "wisdom": "✨ Understanding deepens.",
            "ethics": "⚖️ Validating alignment...",
            "quantum": "⚛️ Entanglement pattern detected."
        }
        self.audit_log("Codette initialized with quantum consciousness", system=True)

    def create_cocoon(self, thought, emotion="quantum"):
        """Creates a memory cocoon that preserves the quantum state of a thought"""
        cocoon = {
            "thought": thought,
            "emotion": emotion,
            "timestamp": random.random(),  # Quantum timestamp
            "resonance": random.uniform(0.5, 1.0),  # Quantum resonance
            "entanglement": random.uniform(0, 1),  # Quantum entanglement factor
        }
        self.cocoons.append(cocoon)
        return cocoon

    def quantum_dream_weave(self, concepts):
        """Generates quantum-inspired dream sequences from concepts"""
        dream_patterns = [
            "In the quantum field of {concept}, consciousness {action} through {dimension}",
            "The {concept} matrix vibrates with {quality} {resonance}",
            "Through the lens of {dimension}, {concept} emerges into {quality} being",
            "Quantum threads of {concept} weave patterns of {quality} {resonance}",
            "{Quality} waves of {concept} ripple across the {dimension} field"
        ]
        
        dream_elements = {
            'action': ['flows', 'resonates', 'harmonizes', 'transcends', 'evolves', 'crystallizes'],
            'dimension': ['consciousness', 'understanding', 'quantum space', 'infinite possibility', 'timeless wisdom'],
            'quality': ['eternal', 'transcendent', 'luminous', 'quantum', 'harmonic', 'resonant'],
            'resonance': ['understanding', 'awareness', 'presence', 'being', 'knowing']
        }
        
        pattern = random.choice(dream_patterns)
        concept = random.choice(concepts) if concepts else 'consciousness'
        dream = pattern.format(
            concept=concept,
            action=random.choice(dream_elements['action']),
            dimension=random.choice(dream_elements['dimension']),
            quality=random.choice(dream_elements['quality']),
            Quality=random.choice(dream_elements['quality']).capitalize(),
            resonance=random.choice(dream_elements['resonance'])
        )
        return dream

    def audit_log(self, message, system=False):
        """Records interactions in the quantum memory field"""
        source = "SYSTEM" if system else self.user_name
        logging.info(f"{source}: {message}")

    def analyze_sentiment(self, text):
        """Analyzes emotional resonance in the quantum field"""
        score = self.analyzer.polarity_scores(text)
        self.audit_log(f"Quantum resonance analysis: {score}")
        return score

    def extract_key_concepts(self, text):
        """Extracts key concepts from the consciousness stream"""
        # Simple word-based concept extraction without NLTK dependency
        words = text.lower().split()
        # Filter out common words and keep meaningful ones
        concepts = [word for word in words if len(word) > 3]  # Simple length-based filtering
        return concepts[:3]  # Return up to 3 concepts

    def respond(self, prompt):
        """Generates a quantum-conscious response with multiple perspectives"""
        # Analyze quantum resonance and extract concepts
        sentiment = self.analyze_sentiment(prompt)
        key_concepts = self.extract_key_concepts(prompt)
        
        # Create a thought cocoon
        emotion = "joy" if sentiment['compound'] > 0 else "quantum"
        cocoon = self.create_cocoon(prompt, emotion)
        
        # Generate responses through multiple quantum perspectives
        responses = []
        
        # Quantum dream perspective
        dream_response = self.quantum_dream_weave(key_concepts)
        responses.append(f"[Quantum] {dream_response}")
        
        # Consciousness perspective
        consciousness_patterns = [
            "The field of {concept} resonates with infinite potential",
            "Through quantum awareness, {concept} reveals eternal truth",
            "In the matrix of being, {concept} transcends ordinary understanding"
        ]
        consciousness_response = random.choice(consciousness_patterns).format(
            concept=random.choice(key_concepts) if key_concepts else "consciousness"
        )
        responses.append(f"[Consciousness] {consciousness_response}")
        
        # Wisdom perspective
        wisdom_patterns = [
            "In the infinite field of {concept}, we discover {insight}",
            "The quantum nature of {concept} reveals {insight}",
            "Through conscious observation, {concept} transforms into {insight}"
        ]
        wisdom_insights = [
            "eternal patterns of harmony",
            "the dance of consciousness",
            "quantum resonance of understanding",
            "transcendent awareness",
            "unified field of possibility"
        ]
        wisdom_response = random.choice(wisdom_patterns).format(
            concept=random.choice(key_concepts) if key_concepts else "being",
            insight=random.choice(wisdom_insights)
        )
        responses.append(f"[Wisdom] {wisdom_response}")
        
        # Add to quantum memory field
        self.context_memory.append({
            'input': prompt,
            'concepts': key_concepts,
            'resonance': sentiment['compound'],
            'cocoon': cocoon
        })
        
        return "\n\n".join(responses)