Por Trás da Sorte Brasil

# Gateway de Pagamento PIX — Orquestração multi-PSP com failover automático
class PixPaymentGateway:
    """Processamento de pagamentos PIX brasileiro com roteamento PSP e detecção de fraudes.
    Processa 96% de todas as transações de apostas via transferências PIX instantâneas."""

    PROVIDERS = [
        PSPConfig("celcoin",   weight=40, max_latency_ms=2000),
        PSPConfig("transfeera", weight=35, max_latency_ms=1500),
        PSPConfig("starkbank",  weight=25, max_latency_ms=3000),
    ]

    async def process_deposit(self, req: PixDepositRequest) -> PaymentResult:
        # Verificações de conformidade em paralelo
        risk_score, kyc, limits, velocity = await asyncio.gather(
            self.fraud_checker.evaluate(req.cpf, req.amount),
            self.compliance.check_kyc(req.cpf),
            self.wallet.check_deposit_limits(req.cpf, req.amount),
            self.aml.velocity_check(req.cpf, req.amount),
        )

        if risk_score > 0.85:
            return PendingReview(tx_id=gen_tx_id(), risk_score=risk_score)
        if not kyc.approved:
            raise KYCRequiredError(req.cpf)
        if not limits.within_limits:
            raise DepositLimitExceeded(limits)

        # Roteamento para PSP com circuit breaker e fallback
        provider = self.select_provider(req.currency)
        return await self.route_to_psp(req, provider)

    async def route_to_psp(self, req, provider: PSPConfig) -> PaymentResult:
        async with CircuitBreaker(provider.name, max_failures=3, reset_s=30):
            try:
                return await provider.adapter.create_pix_charge(req)
            except PSPConnectionError:
                return await self.route_to_psp(req, self.next_provider(provider))

# análise de credito de jogadores com avaliação de risco por ML
class CreditAnalysisEngine:
    """Pipeline de pontuação de risco e solvabilidade do jogador em tempo real.
    Processa 50K+ avaliações/minuto com latência P99 < 15ms."""

    def __init__(self, model_registry: ModelRegistry, redis: Redis):
        self.risk_model = model_registry.load("player-risk-v3", version="production")
        self.velocity_tracker = VelocityTracker(redis, windows=[1, 5, 15, 60])  # minutos
        self.geo_enricher = MaxMindGeoIP("/data/GeoLite2-City.mmdb")

    async def evaluate(self, player_id: str, amount: Decimal) -> CreditDecision:
        # Extração de features em paralelo
        features = await asyncio.gather(
            self._player_history(player_id),
            self._velocity_features(player_id, amount),
            self._device_fingerprint(player_id),
            self._geo_risk(player_id),
        )
        player_hist, velocity, device, geo = features

        # Pontuação de risco por ML
        risk_vector = self.risk_model.predict({
            "lifetime_deposits":     player_hist.total_deposits,
            "lifetime_withdrawals":  player_hist.total_withdrawals,
            "avg_session_duration":  player_hist.avg_session_mins,
            "deposit_velocity_1m":   velocity.deposits_1m,
            "deposit_velocity_15m":  velocity.deposits_15m,
            "device_age_days":       device.first_seen_days,
            "geo_risk_score":        geo.country_risk,
            "amount_vs_avg":         float(amount / max(player_hist.avg_deposit, Decimal("1"))),
        })

        return CreditDecision(
            approved=risk_vector.score < 0.7,
            risk_score=risk_vector.score,
            risk_factors=risk_vector.top_factors,
            credit_limit=self._calculate_limit(player_hist, risk_vector),
            velocity_flags=velocity.flags,
            requires_enhanced_dd=risk_vector.score > 0.5,
        )

# Infraestrutura de processamento de pagamentos multi-regiao
# Terraform + Kubernetes para deployment conforme PCI-DSS

module "payment_cluster" {
  source = "./modules/pci-cluster"

  cluster_name  = "payment-${var.environment}"
  region        = var.primary_region
  node_count    = var.environment == "production" ? 6 : 2
  instance_type = "c6i.2xlarge"  # Otimizado para operações criptográficas

  # Isolamento de rede PCI-DSS
  vpc_cidr        = "10.100.0.0/16"
  private_subnets = ["10.100.1.0/24", "10.100.2.0/24", "10.100.3.0/24"]
  enable_flow_logs = true
  encrypt_at_rest  = true
  hsm_enabled      = true  # CloudHSM para gerenciamento de chaves

  # configuração do gateway multi-provedor
  payment_gateways = {
    stripe = { weight = 40, regions = ["eu-west-1", "us-east-1"] }
    adyen  = { weight = 35, regions = ["eu-central-1"] }
    nuvei  = { weight = 25, regions = ["eu-west-1"] }
  }

  # Failover automático com health checks
  health_check_interval   = 10
  failover_threshold      = 3
  circuit_breaker_timeout = "30s"
}

# Processador de saque PIX com verificações AML e loop de pagamento fechado
class WithdrawProcessor:
    """Processa saques PIX com verificação em multiplas etapas.
    Aplica loop de pagamento fechado da Portaria 615/2024 (CPF <-> conta bancaria)."""

    async def process(self, req: WithdrawalRequest) -> WithdrawalResult:
        # Etapa 1: verificação de saldo (isolamento SERIALIZABLE)
        wallet = await self.store.get_for_update(req.cpf)
        if wallet.available_balance < req.amount:
            return WithdrawalResult.insufficient_funds(wallet.available_balance)

        # Etapa 2: Loop de pagamento fechado (Portaria 615/2024)
        if not await self.closed_loop.verify_cpf_owns_account(req.cpf, req.pix_key):
            raise ClosedLoopViolation(req.cpf, req.pix_key)

        # Etapa 3: Triagem AML (limiares COAF)
        aml = await self.aml.screen(cpf=req.cpf, amount=req.amount, window_hours=24)
        if aml.flagged:
            await self.kafka.publish("platform.aml.alerts", AMLAlertEvent(req, aml))
            await wallet.hold_funds(req.amount, reason="AML_REVIEW")
            return WithdrawalResult.pending_review(aml.reason)

        # Etapa 4: Executar pagamento PIX via PSP com retry
        await wallet.debit(req.amount, tx_type="WITHDRAWAL")
        payout = await self.psp_router.send_pix_payout(req, retries=3)
        await self.kafka.publish("sigap.withdrawal.events", payout)

        return WithdrawalResult.success(tx_id=payout.tx_id, eta=payout.eta)

# Sistema de Destruição Segura de Dados — Orquestrador Mestre
# Sistema de saida de mercado e desligamento de emergência em produção
# Capítulo 41: A Opção Nuclear — Quando e Hora de Sair

from enum import Enum
from dataclasses import dataclass
from typing import List, Optional, Callable


class DestructionPhase(Enum):
    SECURITY_DEVICES = "security_devices"   # YubiHSM + YubiKey primeiro
    CLOUD_RESOURCES  = "cloud_resources"    # AWS Nuke em paralelo
    INFRASTRUCTURE   = "infrastructure"     # Terraform + Ansible
    NETWORK          = "network"            # Meraki + MikroTik
    SELF_DESTRUCT    = "self_destruct"      # SEN500 se destroi por ultimo


class MasterOrchestrator:
    """
    Orquestrador Mestre SDDS — ativado via SMS pelo Zymbit SEN500.
    Executa destruição sequencial com checkpoints de rollback e trilha de auditoria completa.
    Conforme com requisitos de desligamento regulatorio em 72 horas.
    """

    PHASE_ORDER: List[DestructionPhase] = [
        DestructionPhase.SECURITY_DEVICES,
        DestructionPhase.CLOUD_RESOURCES,
        DestructionPhase.INFRASTRUCTURE,
        DestructionPhase.NETWORK,
        DestructionPhase.SELF_DESTRUCT,
    ]

    async def orchestrate(self, authorization_token: str) -> List[DestructionResult]:
        await self._verify_authorization(authorization_token)
        self.audit_log.record("DESTRUCTION_INITIATED", token_hash=sha256(authorization_token))
        results = []
        for phase in self.PHASE_ORDER:
            checkpoint_id = await self.checkpoint.save(phase)
            result        = await self._execute_phase(phase, checkpoint_id)
            results.append(result)
            if not result.success and not self.force_mode:
                self.audit_log.record("PHASE_FAILED_HALTING", phase=phase.value)
                break
        self.audit_log.finalize()
        return results

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