[WIP] Add coherence complexity integrator functionality

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Thanks for asking me to work on this. I will get started on it and keep this PR's description up to date as I form a plan and make progress.

Original prompt

cat > .github/agents/quantum/coherence_complexity_integrator.py << 'EOF'
#!/usr/bin/env python3
"""
🔄 COHERENCE_COMPLEXITY_INTEGRATOR - Integra mediciones de coherencia con complejidad
Vincula el sistema de orquestación con la hipótesis de colapso NP→P
"""

import json
from pathlib import Path
from datetime import datetime, timedelta
import numpy as np
from typing import Dict, List, Optional
import sys

class CoherenceComplexityIntegrator:
"""Integra mediciones de coherencia con análisis de complejidad"""

def __init__(self, repo_path: str = "."):
    self.repo_path = Path(repo_path)
    self.frequency = 141.7001
    self.complexity_collapser = None
    
    # Intentar importar ComplexityCollapser
    try:
        from complexity_collapser import ComplexityCollapser
        self.complexity_collapser = ComplexityCollapser
    except ImportError:
        print("⚠️  ComplexityCollapser no disponible, usando simulación")

def load_current_coherence(self) -> Optional[float]:
    """Carga la coherencia actual del sistema"""
    try:
        # Buscar última validación cuántica
        validation_files = list(self.repo_path.glob("validation/quantum_*.json"))
        if validation_files:
            latest = max(validation_files, key=lambda p: p.stat().st_mtime)
            with open(latest, 'r') as f:
                validation = json.load(f)
            return validation.get('coherence', {}).get('total', 0.836)
    except Exception as e:
        print(f"⚠️  Error cargando coherencia: {str(e)}")
    
    return None

def load_system_metrics(self) -> Dict:
    """Carga métricas actuales del sistema"""
    metrics = {
        'active_agents': 3,  # Por defecto
        'synchronization': 0.8,
        'total_files': 3171,
        'qcal_references': 208,
        'frequency_references': 166
    }
    
    try:
        # Cargar métricas diarias
        metrics_files = list(self.repo_path.glob("metrics/daily_*.json"))
        if metrics_files:
            latest = max(metrics_files, key=lambda p: p.stat().st_mtime)
            with open(latest, 'r') as f:
                daily_metrics = json.load(f)
            
            metrics['total_files'] = daily_metrics.get('files', {}).get('total_files', 3171)
            metrics['qcal_references'] = daily_metrics.get('qcal', {}).get('qcal_references', 208)
            metrics['frequency_references'] = daily_metrics.get('qcal', {}).get('frequency_references', 166)
    except:
        pass
    
    return metrics

def analyze_complexity_evolution(self, days: int = 7) -> List[Dict]:
    """Analiza evolución de coherencia y complejidad en días recientes"""
    evolution = []
    
    for i in range(days):
        date = datetime.utcnow() - timedelta(days=i)
        date_str = date.strftime("%Y%m%d")
        
        # Buscar validación para esta fecha
        validation_file = self.repo_path / f"validation/quantum_{date_str}.json"
        metrics_file = self.repo_path / f"metrics/daily_{date_str}.json"
        
        day_data = {
            "date": date_str,
            "coherence": None,
            "complexity_analysis": None,
            "metrics": None
        }
        
        # Cargar coherencia si existe
        if validation_file.exists():
            try:
                with open(validation_file, 'r') as f:
                    validation = json.load(f)
                day_data["coherence"] = validation.get('coherence', {}).get('total')
            except:
                pass
        
        # Cargar métricas si existen
        if metrics_file.exists():
            try:
                with open(metrics_file, 'r') as f:
                    day_data["metrics"] = json.load(f)
            except:
                pass
        
        # Analizar complejidad si hay coherencia
        if day_data["coherence"] is not None:
            metrics = day_data["metrics"] or self.load_system_metrics()
            
            if self.complexity_collapser:
                collapser = self.complexity_collapser()
                analysis = collapser.analyze_complexity_collapse(
                    day_data["coherence"], 
                    metrics
                )
                day_data["complexity_analysis"] = analysis
            else:
                # Análisis simplificado
                day_data["complexity_analysis"] = self._simplified_analysis(
                    day_data["coherence"], metrics
                )
        
        evolution.append(day_data)
    
    return sorted(evolution, key=lambda x: x["date"])

def _simplifi...

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Project	Deployment	Actions	Updated (UTC)
p-np	Ready	Preview, Comment	Jan 31, 2026 0:25am

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