"""
CorvOS - Manifesto de Governanca 2027 + Exportacao JSON para Arkhe-Chain
Version: 1.0
"""
import numpy as np
import json
import hashlib
from datetime import datetime
from typing import Dict, List, Any

class Manifesto2027:
    SECTORS = ["Material", "Social", "Cultural", "Ecologico", "Espiritual"]
    VERSION = "2027.1-Sigma"
    
    def __init__(self, coherence: float, spectral_radius: float, bio_sync: float):
        self.coherence = coherence
        self.spectral_radius = spectral_radius
        self.bio_sync = bio_sync
        self.generated_at = datetime.now().isoformat()
        
    def generate_json(self, eigenvalues: np.ndarray, health_report: Dict) -> Dict:
        idx = np.argsort(np.abs(eigenvalues))[::-1]
        dom = eigenvalues[idx[0]]
        gov_vec = np.array([0.85, 0.88, 0.91, 0.93, 0.96])
        projections = {}
        for i, sec in enumerate(self.SECTORS):
            proj = abs(dom) * gov_vec[i]
            projections[sec] = {
                "current": round(gov_vec[i], 4),
                "projected_2027": round(float(proj), 4),
                "growth_rate_pct": round(100 * (proj / gov_vec[i] - 1), 2)
            }
        integrity_hash = hashlib.sha256(
            f"{self.coherence}{self.spectral_radius}{self.bio_sync}".encode()
        ).hexdigest()[:24]
        manifesto = {
            "manifesto_id": f"ARKHE-M2027-{integrity_hash[:8].upper()}",
            "version": self.VERSION,
            "generated_at": self.generated_at,
            "valid_until": "2027-12-31T23:59:59Z",
            "algorithmic_constitution": {
                "preamble": (
                    f"Governanca por Coerencia de Fase. "
                    f"Lambda2={self.coherence:.6f}, RaioEspectral={self.spectral_radius:.6f}"
                ),
                "core_values": self._core_values(projections),
                "economic_model": self._economic_model(projections),
                "social_contract": self._social_contract(),
                "environmental_directives": self._environmental_directives(),
                "temporal_protocols": self._temporal_protocols()
            },
            "autovalores": {
                f"lambda_{i+1}": round(float(eigenvalues[idx[i]]), 6)
                for i in range(min(5, len(eigenvalues)))
            },
            "bio_metrics": {
                "population_sync_pct": round(self.bio_sync * 100, 1),
                "coherence_lambda2": round(self.coherence, 6),
                "spectral_gap": round(float(abs(eigenvalues[idx[0]] - eigenvalues[idx[1]])), 6)
            },
            "projections_2027": projections,
            "health_indicators": health_report,
            "roadmap": self._roadmap(),
            "arkhe_chain_ref": f"0x{integrity_hash}",
            "signatories": ["CorvOS-v2.3-Omega", "BioLink-40Hz", "NARE-Engine", "TemporalAudit"]
        }
        return manifesto
    
    def _core_values(self, proj: Dict) -> List[str]:
        values = []
        spiritual = proj.get("Espiritual", {}).get("projected_2027", 0)
        eco = proj.get("Ecologico", {}).get("projected_2027", 0)
        if spiritual > 0.85: values.append("Transcendência Coletiva")
        if eco > 0.80: values.append("Simbiose Planetária")
        values.append("Equilibrio Dinamico")
        return values
    
    def _economic_model(self, proj: Dict) -> Dict:
        mat = proj.get("Material", {}).get("projected_2027", 0)
        return {
            "type": "Economia de Coerencia" if mat < 0.9 else "Abundancia Computronium",
            "currency": "CU - Unidade de Coerencia",
            "distribution": "UBI via contribuicao lambda2",
            "work": "Criatividade e coerencia como metricas"
        }
    
    def _social_contract(self) -> Dict:
        return {
            "participation": "Obrigatoria via Bio-Link 40Hz",
            "conflict_resolution": "Sincronizacao de fase ou isolacao",
            "privacy": "Biometricos publicos anonimizados para lambda2 global",
            "health": "Regeneracao celular preventiva continua"
        }
    
    def _environmental_directives(self) -> List[str]:
        return [
            "Cúpula expande para toda Zona Sul ate dez/2027",
            "Processamento quantico via energia verde",
            "Oxigenio como subproduto da computacao"
        ]
    
    def _temporal_protocols(self) -> Dict:
        return {
            "retrocausal_access": "lambda2 > 0.995 requerido",
            "future_viewing": "Disponivel para todos via MaxToki",
            "past_modification": "Proibida sem quorum 112/168"
        }
    
    def _roadmap(self) -> List[Dict]:
        base = datetime.now()
        return [
            {"phase": "I", "date": "2026-05-05", "milestone": "Sincronizacao completa 13.000 residentes"},
            {"phase": "II", "date": "2026-07-04", "milestone": "Lentes Temporais 2027 ativas"},
            {"phase": "III", "date": "2026-10-02", "milestone": "Transicao Economia de Coerencia"},
            {"phase": "IV", "date": "2027-04-05", "milestone": "Manifesto 2027 implementado"}
        ]
    
    def export_json(self, eigenvalues: np.ndarray, health_report: Dict, filepath: str):
        m = self.generate_json(eigenvalues, health_report)
        with open(filepath, "w") as f:
            json.dump(m, f, indent=2, ensure_ascii=False)
        return m