"""
CROVIA Bridge Preview - Open Core Teaser
========================================
"""

from __future__ import annotations
import hashlib
import json
from dataclasses import dataclass
from typing import Dict, List, Optional, Any


@dataclass
class BridgeCapability:
    """Mostra una capacità del bridge PRO."""
    capability_id: str
    name: str
    description: str
    regulatory_coverage: List[str]  # Quali regolamentazioni copre
    evidence_types: List[str]  # Tipi di prove generate
    upgrade_required: bool  # Serve PRO per questa capability
    preview_available: bool  # Preview disponibile in open


@dataclass
class CompliancePreview:
    """Preview di compliance per un modello."""
    model_id: str
    preview_score: float  # 0.0-1.0 score base
    potential_score: float  # Score POTENZIALE con PRO
    missing_capabilities: List[str]  # Cosa manca per score completo
    upgrade_benefits: List[str]  # Benefici dell'upgrade
    global_coverage: Dict[str, float]  # Copertura per regolamentazione


class CroviaBridgePreview:
    """
    Preview del bridge PRO per generare adoption.
    
    Geniale: Mostra il valore, nasconde i segreti, crea desiderio di upgrade.
    """
    
    def __init__(self):
        self.capabilities = self._initialize_capabilities()
    
    def _initialize_capabilities(self) -> Dict[str, BridgeCapability]:
        """Inizializza capacità del bridge (PRO e Open)."""
        
        return {
            # Open capabilities (disponibili ora)
            "basic_scan": BridgeCapability(
                capability_id="basic_scan",
                name="Basic Model Scanning",
                description="Scansione base per identificare potenziali issue di compliance",
                regulatory_coverage=["eu-ai-act", "us-ftc"],
                evidence_types=["basic_evidence", "model_metadata"],
                upgrade_required=False,
                preview_available=True,
            ),
            
            "threat_assessment": BridgeCapability(
                capability_id="threat_assessment",
                name="Compliance Threat Assessment",
                description="Valutazione dei rischi di non-compliance",
                regulatory_coverage=["eu-ai-act", "us-ftc", "china-ai"],
                evidence_types=["risk_report", "threat_matrix"],
                upgrade_required=False,
                preview_available=True,
            ),
            
            # PRO capabilities (solo preview)
            "zk_compliance": BridgeCapability(
                capability_id="zk_compliance",
                name="Zero-Knowledge Compliance Proofs",
                description="Prove crittografiche di compliance senza rivelare dati",
                regulatory_coverage=["eu-ai-act", "us-ftc", "china-ai", "global-ethics"],
                evidence_types=["zk_proof", "commitment_proof", "range_proof"],
                upgrade_required=True,
                preview_available=True,
            ),
            
            "absence_guarantee": BridgeCapability(
                capability_id="absence_guarantee",
                name="Cryptographic Absence Guarantee",
                description="Garanzia matematica che dati specifici NON sono stati usati",
                regulatory_coverage=["eu-ai-act", "gdpr", "ccpa"],
                evidence_types=["absence_proof", "merkle_exclusion", "non_membership"],
                upgrade_required=True,
                preview_available=True,
            ),
            
            "global_authority": BridgeCapability(
                capability_id="global_authority",
                name="Global Technical Authority",
                description="Certificazione tecnica riconosciuta a livello mondiale",
                regulatory_coverage=["eu-ai-act", "us-ftc", "china-ai", "uk-ai", "japan-ai"],
                evidence_types=["authority_certificate", "global_evidence_pack"],
                upgrade_required=True,
                preview_available=False,  # Solo per PRO
            ),
            
            "turbo_performance": BridgeCapability(
                capability_id="turbo_performance",
                name="Turbo Engine Performance",
                description="Accelerazione Rust-native per proof generation istantanea",
                regulatory_coverage=["all"],
                evidence_types=["fast_proof", "real_time_compliance"],
                upgrade_required=True,
                preview_available=False,  # Solo per PRO
            ),
        }
    
    def generate_compliance_preview(self, model_id: str) -> CompliancePreview:
        """
        Genera preview di compliance per un modello.
        
        Geniale: Mostra il gap tra open e PRO per creare desire.
        """
        
        # 1. Calcola score base (open capabilities)
        open_score = self._calculate_open_score(model_id)
        
        # 2. Calcola score potenziale (con PRO capabilities)
        pro_score = self._calculate_pro_score(model_id)
        
        # 3. Identifica missing capabilities
        missing_caps = self._identify_missing_capabilities(model_id)
        
        # 4. Calcola benefici upgrade
        upgrade_benefits = self._calculate_upgrade_benefits(model_id, missing_caps)
        
        # 5. Calcola copertura globale
        global_coverage = self._calculate_global_coverage(model_id, open_score, pro_score)
        
        return CompliancePreview(
            model_id=model_id,
            preview_score=open_score,
            potential_score=pro_score,
            missing_capabilities=missing_caps,
            upgrade_benefits=upgrade_benefits,
            global_coverage=global_coverage,
        )
    
    def list_upgrade_capabilities(self) -> List[BridgeCapability]:
        """Mostra tutte le capacità PRO disponibili."""
        return [
            cap for cap in self.capabilities.values()
            if cap.upgrade_required
        ]
    
    def demonstrate_capability_preview(self, capability_id: str) -> Dict[str, Any]:
        """
        Demo preview di una capability PRO.
        
        Geniale: Mostra il risultato, non il metodo.
        """
        capability = self.capabilities.get(capability_id)
        if not capability or not capability.preview_available:
            return {"error": "Capability not available for preview"}
        
        # Genera demo results (mock data che mostra potenziale)
        demo_results = {
            "capability_id": capability_id,
            "name": capability.name,
            "demo_model": "demo-model-v1.0",
            "regulatory_coverage": capability.regulatory_coverage,
            "evidence_types": capability.evidence_types,
            "sample_results": self._generate_demo_results(capability_id),
            "upgrade_message": self._generate_upgrade_message(capability_id),
        }
        
        return demo_results
    
    def _calculate_open_score(self, model_id: str) -> float:
        """Calcola score base con open capabilities."""
        # Simulazione: base capabilities coprono ~40% dei requisiti
        base_score = 0.4
        
        # Aggiungi variazione basata su model ID
        model_hash = hashlib.sha256(model_id.encode()).hexdigest()
        variation = int(model_hash[:8], 16) / 0xFFFFFFFF  # 0.0-1.0
        score_variation = (variation - 0.5) * 0.2  # ±0.1
        
        return max(0.0, min(1.0, base_score + score_variation))
    
    def _calculate_pro_score(self, model_id: str) -> float:
        """Calcola score potenziale con PRO capabilities."""
        # Simulazione: PRO capabilities coprono ~95% dei requisiti
        pro_score = 0.95
        
        # Aggiungi variazione minima (PRO è più consistente)
        model_hash = hashlib.sha256((model_id + "pro").encode()).hexdigest()
        variation = int(model_hash[:8], 16) / 0xFFFFFFFF
        score_variation = (variation - 0.5) * 0.05  # ±0.025
        
        return max(0.0, min(1.0, pro_score + score_variation))
    
    def _identify_missing_capabilities(self, model_id: str) -> List[str]:
        """Identifica capabilities PRO mancanti."""
        # Simulazione: tutti i modelli beneficiano delle stesse capabilities PRO
        return [
            "zk_compliance",
            "absence_guarantee", 
            "global_authority",
            "turbo_performance",
        ]
    
    def _calculate_upgrade_benefits(
        self, model_id: str, missing_caps: List[str]
    ) -> List[str]:
        """Calcola benefici specifici dell'upgrade."""
        benefits = []
        
        if "zk_compliance" in missing_caps:
            benefits.append("Prove crittografiche ZK per compliance senza rivelare dati")
        
        if "absence_guarantee" in missing_caps:
            benefits.append("Garanzia matematica di non-utilizzo dati opt-out")
        
        if "global_authority" in missing_caps:
            benefits.append("Certificazione tecnica riconosciuta a livello mondiale")
        
        if "turbo_performance" in missing_caps:
            benefits.append("Proof generation 100x più veloce con Turbo Engine")
        
        # Aggiungi beneficio generico
        benefits.append("Accesso a tutte le future capability PRO")
        
        return benefits
    
    def _calculate_global_coverage(
        self, model_id: str, open_score: float, pro_score: float
    ) -> Dict[str, float]:
        """Calcola copertura per regolamentazione."""
        
        # Open coverage limitata
        open_coverage = {
            "eu-ai-act": open_score * 0.6,
            "us-ftc": open_score * 0.5,
            "china-ai": open_score * 0.3,
            "global-ethics": open_score * 0.4,
        }
        
        # PRO coverage completa
        pro_coverage = {
            "eu-ai-act": pro_score * 0.95,
            "us-ftc": pro_score * 0.90,
            "china-ai": pro_score * 0.85,
            "global-ethics": pro_score * 0.95,
            "uk-ai": pro_score * 0.80,
            "japan-ai": pro_score * 0.75,
        }
        
        return {
            "current": open_coverage,
            "potential": pro_coverage,
        }
    
    def _generate_demo_results(self, capability_id: str) -> Dict[str, Any]:
        """Genera risultati demo per una capability."""
        
        demo_templates = {
            "zk_compliance": {
                "proof_generated": True,
                "proof_size": "2.3KB",
                "verification_time": "12ms",
                "privacy_preserved": True,
                "confidence": "98.7%",
            },
            "absence_guarantee": {
                "absence_proofs": 147,
                "data_exclusions_verified": True,
                "legal_strength": "court_admissible",
                "global_validity": True,
            },
        }
        
        return demo_templates.get(capability_id, {
            "status": "demo_available",
            "capability": capability_id,
        })
    
    def _generate_upgrade_message(self, capability_id: str) -> str:
        """Genera messaggio di upgrade."""
        
        messages = {
            "zk_compliance": "Upgrade to PRO for Zero-Knowledge compliance proofs",
            "absence_guarantee": "Upgrade to PRO for cryptographic absence guarantees",
            "global_authority": "Upgrade to PRO for global technical authority",
            "turbo_performance": "Upgrade to PRO for 100x faster proof generation",
        }
        
        return messages.get(capability_id, "Upgrade to PRO to unlock this capability")


# Funzione principale per CLI
def preview_compliance(model_id: str) -> CompliancePreview:
    """
    Preview compliance per un modello.
    
    Usage:
        crovia preview compliance <model_id>
    """
    preview = CroviaBridgePreview()
    return preview.generate_compliance_preview(model_id)


def list_upgrades() -> List[BridgeCapability]:
    """
    Lista tutte le capability PRO.
    
    Usage:
        crovia preview upgrades
    """
    preview = CroviaBridgePreview()
    return preview.list_upgrade_capabilities()


def demo_capability(capability_id: str) -> Dict[str, Any]:
    """
    Demo di una capability PRO.
    
    Usage:
        crovia preview demo <capability_id>
    """
    preview = CroviaBridgePreview()
    return preview.demonstrate_capability_preview(capability_id)


# Export per CLI
__all__ = [
    "preview_compliance",
    "list_upgrades", 
    "demo_capability",
    "CroviaBridgePreview",
]
