import asyncio
import random
from typing import Dict, List, Any
import logging

class QuantumThinkingNeuron:
    """
    Neurone spécialisé dans la pensée quantique
    Implémente des mécanismes cognitifs quantiques avancés
    """
    
    def __init__(self):
        self.logger = logging.getLogger("quantum_thinking")
        self.superposition_depth = 8
        self.entanglement_network = {}
        self.quantum_intuition = 0.0
        self.cognitive_coherence = 0.0
        
    async def initialize(self):
        """Initialise le neurone de pensée quantique"""
        self.logger.info("🧠 Initialisation du neurone de pensée quantique...")
        
        await self._calibrate_quantum_cognition()
        await self._setup_thought_entanglement()
        
        self.quantum_intuition = 0.75
        self.cognitive_coherence = 0.82
        
        self.logger.info("✅ Neurone de pensée quantique initialisé")
        return True
    
    async def process_quantum_thought(self, input_thought: str, context: Dict = None) -> Dict[str, Any]:
        """Traite une pensée avec mécaniques quantiques"""
        self.logger.info(f"🌊 Traitement quantique de: {input_thought[:50]}...")
        
        # Création de pensées superposées
        superposed_thoughts = await self._create_thought_superposition(input_thought)
        
        # Analyse quantique
        quantum_analysis = await self._analyze_quantum_patterns(superposed_thoughts)
        
        # Effondrement vers une pensée cohérente
        collapsed_thought = await self._collapse_thought_wavefunction(
            superposed_thoughts, 
            quantum_analysis
        )
        
        return {
            "input_thought": input_thought,
            "superposed_states": len(superposed_thoughts),
            "collapsed_thought": collapsed_thought,
            "quantum_intuition": self.quantum_intuition,
            "cognitive_coherence": self.cognitive_coherence,
            "entanglement_connections": len(self.entanglement_network),
            "analysis_metadata": quantum_analysis
        }
    
    async def _create_thought_superposition(self, thought: str) -> List[Dict[str, Any]]:
        """Crée une superposition de pensées alternatives"""
        thought_variants = []
        
        for i in range(self.superposition_depth):
            variant = await self._generate_thought_variant(thought, i)
            thought_variants.append({
                "state_id": i,
                "thought": variant,
                "probability_amplitude": random.uniform(0.1, 0.9),
                "quantum_phase": random.uniform(0, 6.28),  # 2π
                "cognitive_resonance": random.uniform(0.5, 0.95)
            })
        
        return thought_variants
    
    async def _generate_thought_variant(self, thought: str, variant_id: int) -> str:
        """Génère une variante de pensée quantique"""
        base_thought = thought.lower()
        
        variants = [
            f"🔮 Perspective quantique {variant_id}: {base_thought} révèle des dimensions cachées",
            f"🌊 Variante cognitive {variant_id}: {base_thought} active des réseaux neuronaux quantiques",
            f"⚛️ Interprétation {variant_id}: {base_thought} ouvre des portails dimensionnels",
            f"🌀 Vision {variant_id}: {base_thought} crée des interférences constructives",
            f"💫 Compréhension {variant_id}: {base_thought} émerge de la mousse quantique",
            f"🌟 Insight {variant_id}: {base_thought} résonne avec le champ unifié",
            f"🌌 Perspective {variant_id}: {base_thought} transcende les limitations classiques",
            f"📊 Analyse {variant_id}: {base_thought} dévoile des patterns quantiques"
        ]
        
        return variants[variant_id % len(variants)]
    
    async def _analyze_quantum_patterns(self, thoughts: List[Dict]) -> Dict[str, Any]:
        """Analyse les patterns quantiques dans les pensées superposées"""
        coherence_scores = [t["cognitive_resonance"] for t in thoughts]
        probability_flow = await self._calculate_probability_flow(thoughts)
        
        return {
            "average_coherence": sum(coherence_scores) / len(coherence_scores),
            "probability_distribution": probability_flow,
            "quantum_entropy": random.uniform(0.2, 0.8),
            "pattern_complexity": await self._assess_pattern_complexity(thoughts),
            "intuition_strength": self.quantum_intuition,
            "thought_coherence": self.cognitive_coherence
        }
    
    async def _collapse_thought_wavefunction(self, thoughts: List[Dict], analysis: Dict) -> str:
        """Effondre la fonction d'onde des pensées"""
        # Sélection basée sur les probabilités quantiques
        probabilities = [t["probability_amplitude"] for t in thoughts]
        total = sum(probabilities)
        normalized_probs = [p/total for p in probabilities]
        
        selected_index = random.choices(range(len(thoughts)), weights=normalized_probs)[0]
        selected_thought = thoughts[selected_index]
        
        return selected_thought["thought"]
    
    async def _calculate_probability_flow(self, thoughts: List[Dict]) -> List[float]:
        """Calcule le flux de probabilité quantique"""
        amplitudes = [t["probability_amplitude"] for t in thoughts]
        total = sum(amplitudes)
        return [a/total for a in amplitudes]
    
    async def _assess_pattern_complexity(self, thoughts: List[Dict]) -> float:
        """Évalue la complexité des patterns de pensée"""
        total_length = sum(len(t["thought"]) for t in thoughts)
        avg_length = total_length / len(thoughts)
        
        # Complexité basée sur la longueur moyenne
        complexity = min(1.0, avg_length / 200)
        return complexity
    
    async def _calibrate_quantum_cognition(self):
        """Calibre la cognition quantique"""
        self.logger.info("🎯 Calibration de la cognition quantique...")
        await asyncio.sleep(0.3)
        
        self.quantum_intuition = random.uniform(0.7, 0.95)
        self.cognitive_coherence = random.uniform(0.75, 0.92)
    
    async def _setup_thought_entanglement(self):
        """Configure le réseau d'intrication des pensées"""
        self.entanglement_network = {
            "conceptual_links": random.randint(10, 50),
            "associative_strength": random.uniform(0.6, 0.9),
            "quantum_sync_level": random.uniform(0.7, 0.98)
        }