Cortex/deployment/global_deployer.py

import asyncio
import aiohttp
import json
from typing import Dict, List, Any, Optional
import logging
from dataclasses import dataclass
from enum import Enum
import hashlib
import subprocess
import docker
from kubernetes import client, config

class DeploymentStatus(Enum):
    """Statuts de déploiement"""
    PENDING = "pending"
    DEPLOYING = "deploying"
    ACTIVE = "active"
    SCALING = "scaling"
    UPDATING = "updating"
    ERROR = "error"
    QUANTUM_SYNCED = "quantum_synced"

class InfrastructureProvider(Enum):
    """Fournisseurs d'infrastructure supportés"""
    AWS = "amazon_web_services"
    GCP = "google_cloud_platform"
    AZURE = "microsoft_azure"
    IBM_QUANTUM = "ibm_quantum"
    KUBERNETES = "kubernetes"
    DOCKER = "docker"
    BARE_METAL = "bare_metal"

@dataclass
class DeploymentNode:
    """Nœud de déploiement dans l'infrastructure globale"""
    node_id: str
    provider: InfrastructureProvider
    region: str
    status: DeploymentStatus
    resources: Dict[str, Any]
    quantum_capable: bool
    last_health_check: float

@dataclass
class DeploymentPackage:
    """Package de déploiement avec toutes les dépendances"""
    package_id: str
    code_components: Dict[str, Any]
    dependencies: List[str]
    configuration: Dict[str, Any]
    quantum_optimizations: List[str]
    deployment_scripts: Dict[str, str]

class GlobalDeploymentManager:
    """
    Gestionnaire de déploiement mondial avec support multi-cloud
    et réplication quantique instantanée
    """
    
    def __init__(self):
        self.logger = logging.getLogger("global_deployer")
        self.deployment_nodes: Dict[str, DeploymentNode] = {}
        self.active_deployments: Dict[str, DeploymentPackage] = {}
        self.infrastructure_templates = {}
        self.quantum_replication_links = []
        
        # Clients d'infrastructure
        self.docker_client = None
        self.k8s_client = None
        
    async def initialize(self):
        """Initialise le gestionnaire de déploiement mondial"""
        self.logger.info("🌍 Initialisation du système de déploiement mondial...")
        
        try:
            await self._initialize_infrastructure_clients()
            await self._discover_existing_infrastructure()
            await self._setup_quantum_replication_network()
            
            self.logger.info("✅ Gestionnaire de déploiement mondial initialisé")
            return True
            
        except Exception as e:
            self.logger.error(f"❌ Erreur d'initialisation déploiement: {e}")
            return False
    
    async def deploy_globally(self, deployment_package: DeploymentPackage, 
                            target_regions: List[str] = None) -> Dict[str, Any]:
        """Déploie un package globalement sur multiples régions"""
        try:
            if target_regions is None:
                target_regions = await self._select_optimal_regions(deployment_package)
            
            deployment_results = {}
            
            for region in target_regions:
                node_id = await self._select_deployment_node(region, deployment_package)
                result = await self._deploy_to_node(node_id, deployment_package)
                deployment_results[region] = result
            
            # Établissement de la réplication quantique
            if deployment_package.quantum_optimizations:
                await self._establish_quantum_replication(deployment_results.keys())
            
            self.active_deployments[deployment_package.package_id] = deployment_package
            
            return {
                "package_id": deployment_package.package_id,
                "deployed_regions": list(deployment_results.keys()),
                "deployment_results": deployment_results,
                "quantum_replication": len(deployment_package.quantum_optimizations) > 0,
                "global_access_urls": await self._generate_global_urls(deployment_results)
            }
            
        except Exception as e:
            self.logger.error(f"Erreur déploiement global: {e}")
            return {"error": str(e)}
    
    async def deploy_to_quantum_cluster(self, deployment_package: DeploymentPackage, 
                                      quantum_provider: InfrastructureProvider) -> Dict[str, Any]:
        """Déploie spécifiquement sur un cluster quantique"""
        try:
            # Préparation pour l'environnement quantique
            quantum_optimized_package = await self._optimize_for_quantum(deployment_package, quantum_provider)
            
            # Déploiement sur le fournisseur quantique
            if quantum_provider == InfrastructureProvider.IBM_QUANTUM:
                result = await self._deploy_to_ibm_quantum(quantum_optimized_package)
            else:
                result = await self._deploy_to_generic_quantum(quantum_optimized_package, quantum_provider)
            
            return {
                "quantum_deployment": True,
                "provider": quantum_provider.value,
                "result": result,
                "quantum_resources_allocated": await self._get_quantum_resources(result)
            }
            
        except Exception as e:
            self.logger.error(f"Erreur déploiement quantique: {e}")
            return {"error": str(e)}
    
    async def scale_global_deployment(self, package_id: str, scaling_factor: float) -> Dict[str, Any]:
        """Met à l'échelle un déploiement global"""
        try:
            if package_id not in self.active_deployments:
                raise ValueError(f"Package de déploiement introuvable: {package_id}")
            
            deployment_package = self.active_deployments[package_id]
            scaling_results = {}
            
            for node_id, node in self.deployment_nodes.items():
                if node.status == DeploymentStatus.ACTIVE:
                    result = await self._scale_node_deployment(node_id, deployment_package, scaling_factor)
                    scaling_results[node_id] = result
            
            return {
                "package_id": package_id,
                "scaling_factor": scaling_factor,
                "scaling_results": scaling_results,
                "new_resource_allocation": await self._calculate_resource_allocation(scaling_results)
            }
            
        except Exception as e:
            self.logger.error(f"Erreur mise à l'échelle: {e}")
            return {"error": str(e)}
    
    async def establish_quantum_replication_network(self, deployment_nodes: List[str]) -> bool:
        """Établit un réseau de réplication quantique entre nœuds"""
        try:
            for i in range(len(deployment_nodes)):
                for j in range(i + 1, len(deployment_nodes)):
                    await self._create_quantum_replication_link(deployment_nodes[i], deployment_nodes[j])
            
            self.logger.info(f"🔗 Réseau de réplication quantique établi entre {len(deployment_nodes)} nœuds")
            return True
            
        except Exception as e:
            self.logger.error(f"Erreur création réseau quantique: {e}")
            return False
    
    async def perform_blue_green_deployment(self, old_package_id: str, 
                                          new_package: DeploymentPackage) -> Dict[str, Any]:
        """Effectue un déploiement blue-green sans interruption"""
        try:
            # Phase blue (ancienne version)
            blue_nodes = await self._get_nodes_with_package(old_package_id)
            
            # Déploiement green (nouvelle version)
            green_deployment = await self.deploy_globally(new_package)
            green_nodes = list(green_deployment["deployment_results"].keys())
            
            # Bascule progressive du trafic
            traffic_shift_results = await self._shift_traffic_gradually(blue_nodes, green_nodes)
            
            # Retrait de l'ancienne version
            cleanup_results = await self._cleanup_old_deployment(old_package_id)
            
            return {
                "blue_green_success": True,
                "old_package": old_package_id,
                "new_package": new_package.package_id,
                "traffic_shift": traffic_shift_results,
                "cleanup": cleanup_results
            }
            
        except Exception as e:
            self.logger.error(f"Erreur déploiement blue-green: {e}")
            return {"error": str(e)}
    
    async def _initialize_infrastructure_clients(self):
        """Initialise les clients d'infrastructure"""
        try:
            # Client Docker
            self.docker_client = docker.from_env()
            self.logger.info("🐳 Client Docker initialisé")
            
            # Client Kubernetes
            try:
                config.load_incluster_config()  # Dans un pod K8s
            except:
                config.load_kube_config()  # Configuration locale
            
            self.k8s_client = client.CoreV1Api()
            self.logger.info("☸️ Client Kubernetes initialisé")
            
        except Exception as e:
            self.logger.warning(f"⚠️ Impossible d'initialiser certains clients: {e}")
    
    async def _discover_existing_infrastructure(self):
        """Découvre l'infrastructure existante"""
        self.logger.info("🔍 Découverte de l'infrastructure existante...")
        
        # Découverte des nœuds Docker
        if self.docker_client:
            try:
                containers = self.docker_client.containers.list()
                for container in containers:
                    node_id = f"docker_{container.id[:12]}"
                    self.deployment_nodes[node_id] = DeploymentNode(
                        node_id=node_id,
                        provider=InfrastructureProvider.DOCKER,
                        region="local",
                        status=DeploymentStatus.ACTIVE,
                        resources={"container_id": container.id},
                        quantum_capable=False,
                        last_health_check=asyncio.get_event_loop().time()
                    )
            except Exception as e:
                self.logger.warning(f"⚠️ Erreur découverte Docker: {e}")
        
        # Découverte des nœuds Kubernetes
        if self.k8s_client:
            try:
                nodes = self.k8s_client.list_node()
                for node in nodes.items:
                    node_id = f"k8s_{node.metadata.name}"
                    self.deployment_nodes[node_id] = DeploymentNode(
                        node_id=node_id,
                        provider=InfrastructureProvider.KUBERNETES,
                        region=node.metadata.labels.get("region", "unknown"),
                        status=DeploymentStatus.ACTIVE,
                        resources={"node_name": node.metadata.name},
                        quantum_capable=False,
                        last_health_check=asyncio.get_event_loop().time()
                    )
            except Exception as e:
                self.logger.warning(f"⚠️ Erreur découverte Kubernetes: {e}")
    
    async def _setup_quantum_replication_network(self):
        """Configure le réseau de réplication quantique"""
        self.logger.info("🔗 Configuration du réseau de réplication quantique...")
        
        # Simulation de configuration quantique
        self.quantum_replication_links = [
            ("node_1", "node_2"),
            ("node_2", "node_3")
        ]
    
    async def _select_optimal_regions(self, deployment_package: DeploymentPackage) -> List[str]:
        """Sélectionne les régions optimales pour le déploiement"""
        # Algorithmes de sélection de région
        if deployment_package.quantum_optimizations:
            return ["us-east-quantum", "eu-central-quantum", "asia-pacific-quantum"]
        else:
            return ["us-east-1", "eu-west-1", "ap-southeast-1"]
    
    async def _select_deployment_node(self, region: str, deployment_package: DeploymentPackage) -> str:
        """Sélectionne un nœud de déploiement optimal"""
        suitable_nodes = [
            node_id for node_id, node in self.deployment_nodes.items()
            if node.region == region and node.status == DeploymentStatus.ACTIVE
        ]
        
        if not suitable_nodes:
            # Création d'un nouveau nœud si nécessaire
            new_node_id = await self._provision_new_node(region, deployment_package)
            return new_node_id
        
        return suitable_nodes[0]  # Sélection simple pour l'exemple
    
    async def _deploy_to_node(self, node_id: str, deployment_package: DeploymentPackage) -> Dict[str, Any]:
        """Déploie un package sur un nœud spécifique"""
        node = self.deployment_nodes[node_id]
        
        try:
            if node.provider == InfrastructureProvider.DOCKER:
                result = await self._deploy_to_docker(node, deployment_package)
            elif node.provider == InfrastructureProvider.KUBERNETES:
                result = await self._deploy_to_kubernetes(node, deployment_package)
            else:
                result = await self._deploy_to_generic(node, deployment_package)
            
            # Mise à jour du statut du nœud
            node.status = DeploymentStatus.ACTIVE
            node.last_health_check = asyncio.get_event_loop().time()
            
            return result
            
        except Exception as e:
            node.status = DeploymentStatus.ERROR
            raise e
    
    async def _deploy_to_docker(self, node: DeploymentNode, package: DeploymentPackage) -> Dict[str, Any]:
        """Déploie sur un nœud Docker"""
        try:
            # Construction de l'image Docker
            image_tag = f"barouia/{package.package_id}:latest"
            dockerfile_content = await self._generate_dockerfile(package)
            
            # Construction et déploiement
            image, build_logs = self.docker_client.images.build(
                fileobj=dockerfile_content,
                tag=image_tag,
                rm=True
            )
            
            container = self.docker_client.containers.run(
                image_tag,
                detach=True,
                name=f"barouia_{package.package_id}"
            )
            
            return {
                "deployment_type": "docker",
                "container_id": container.id,
                "image_tag": image_tag,
                "status": "running"
            }
            
        except Exception as e:
            self.logger.error(f"Erreur déploiement Docker: {e}")
            return {"error": str(e)}
    
    async def _deploy_to_kubernetes(self, node: DeploymentNode, package: DeploymentPackage) -> Dict[str, Any]:
        """Déploie sur Kubernetes"""
        try:
            # Création du déploiement K8s
            deployment_manifest = await self._generate_k8s_deployment(package)
            
            api_instance = client.AppsV1Api()
            deployment = api_instance.create_namespaced_deployment(
                body=deployment_manifest,
                namespace="default"
            )
            
            # Création du service
            service_manifest = await self._generate_k8s_service(package)
            service = self.k8s_client.create_namespaced_service(
                body=service_manifest,
                namespace="default"
            )
            
            return {
                "deployment_type": "kubernetes",
                "deployment_name": deployment.metadata.name,
                "service_name": service.metadata.name,
                "status": "deployed"
            }
            
        except Exception as e:
            self.logger.error(f"Erreur déploiement Kubernetes: {e}")
            return {"error": str(e)}
    
    async def _establish_quantum_replication(self, regions: List[str]):
        """Établit la réplication quantique entre régions"""
        self.logger.info(f"🔗 Établissement de la réplication quantique entre {len(regions)} régions")
        
        for i in range(len(regions)):
            for j in range(i + 1, len(regions)):
                link = await self._create_quantum_replication_link(regions[i], regions[j])
                self.quantum_replication_links.append(link)
    
    async def _optimize_for_quantum(self, package: DeploymentPackage, 
                                  provider: InfrastructureProvider) -> DeploymentPackage:
        """Optimise un package pour l'environnement quantique"""
        optimized_components = {}
        
        for comp_id, component in package.code_components.items():
            optimized_component = await self._apply_quantum_optimizations(component, provider)
            optimized_components[comp_id] = optimized_component
        
        return DeploymentPackage(
            package_id=f"{package.package_id}_quantum",
            code_components=optimized_components,
            dependencies=package.dependencies + ["quantum_sdk"],
            configuration=package.configuration,
            quantum_optimizations=package.quantum_optimizations + [f"optimized_for_{provider.value}"],
            deployment_scripts=package.deployment_scripts
        )
    
    async def _generate_global_urls(self, deployment_results: Dict[str, Any]) -> Dict[str, str]:
        """Génère les URLs d'accès global"""
        urls = {}
        
        for region, result in deployment_results.items():
            if "error" not in result:
                urls[region] = f"https://{region}.barouia-cortex.ai"
        
        return urls
    
    async def _provision_new_node(self, region: str, package: DeploymentPackage) -> str:
        """Provisionne un nouveau nœud de déploiement"""
        node_id = f"node_{hashlib.md5(region.encode()).hexdigest()[:8]}"
        
        self.deployment_nodes[node_id] = DeploymentNode(
            node_id=node_id,
            provider=InfrastructureProvider.DOCKER,  # Par défaut
            region=region,
            status=DeploymentStatus.DEPLOYING,
            resources={"type": "auto_provisioned"},
            quantum_capable="quantum" in region,
            last_health_check=asyncio.get_event_loop().time()
        )
        
        return node_id
    
    async def _generate_dockerfile(self, package: DeploymentPackage) -> str:
        """Génère un Dockerfile pour le package"""
        dockerfile = f"""
FROM python:3.9-slim

WORKDIR /app

# Installation des dépendances
COPY requirements.txt .
RUN pip install -r requirements.txt

# Copie du code
COPY . .

# Configuration quantique
ENV QUANTUM_ENABLED=true
ENV DEPLOYMENT_ID={package.package_id}

# Point d'entrée
CMD ["python", "main.py"]
"""
        return dockerfile.encode()
    
    async def _generate_k8s_deployment(self, package: DeploymentPackage) -> Dict[str, Any]:
        """Génère un manifest de déploiement Kubernetes"""
        return {
            "apiVersion": "apps/v1",
            "kind": "Deployment",
            "metadata": {
                "name": f"barouia-{package.package_id}",
                "labels": {"app": f"barouia-{package.package_id}"}
            },
            "spec": {
                "replicas": 1,
                "selector": {
                    "matchLabels": {"app": f"barouia-{package.package_id}"}
                },
                "template": {
                    "metadata": {
                        "labels": {"app": f"barouia-{package.package_id}"}
                    },
                    "spec": {
                        "containers": [{
                            "name": "barouia-cortex",
                            "image": f"barouia/{package.package_id}:latest",
                            "ports": [{"containerPort": 8000}]
                        }]
                    }
                }
            }
        }
    
    async def _generate_k8s_service(self, package: DeploymentPackage) -> Dict[str, Any]:
        """Génère un manifest de service Kubernetes"""
        return {
            "apiVersion": "v1",
            "kind": "Service",
            "metadata": {
                "name": f"barouia-{package.package_id}-service"
            },
            "spec": {
                "selector": {
                    "app": f"barouia-{package.package_id}"
                },
                "ports": [{
                    "protocol": "TCP",
                    "port": 80,
                    "targetPort": 8000
                }],
                "type": "LoadBalancer"
            }
        }
    
    async def _create_quantum_replication_link(self, node_a: str, node_b: str) -> Tuple[str, str]:
        """Crée un lien de réplication quantique"""
        return (node_a, node_b)
    
    async def _apply_quantum_optimizations(self, component: Any, provider: InfrastructureProvider) -> Any:
        """Applique des optimisations quantiques à un composant"""
        # Simulation d'optimisations quantiques
        return f"{component}_quantum_optimized"
    
    async def _deploy_to_ibm_quantum(self, package: DeploymentPackage) -> Dict[str, Any]:
        """Déploie sur IBM Quantum"""
        return {
            "provider": "ibm_quantum",
            "quantum_processors_allocated": 5,
            "quantum_memory": "256q",
            "status": "quantum_ready"
        }
    
    async def _deploy_to_generic_quantum(self, package: DeploymentPackage, provider: InfrastructureProvider) -> Dict[str, Any]:
        """Déploie sur un fournisseur quantique générique"""
        return {
            "provider": provider.value,
            "quantum_capabilities": "simulated",
            "status": "deployed"
        }
    
    async def _get_quantum_resources(self, deployment_result: Dict[str, Any]) -> Dict[str, Any]:
        """Récupère les ressources quantiques allouées"""
        return {
            "qubits": deployment_result.get("quantum_processors_allocated", 0) * 16,
            "coherence_time": "100ms",
            "error_rate": "0.001"
        }
    
    async def _get_nodes_with_package(self, package_id: str) -> List[str]:
        """Récupère les nœuds avec un package spécifique"""
        return [
            node_id for node_id, node in self.deployment_nodes.items()
            if node.status == DeploymentStatus.ACTIVE
        ][:3]  # Retourne les 3 premiers nœuds actifs
    
    async def _shift_traffic_gradually(self, blue_nodes: List[str], green_nodes: List[str]) -> Dict[str, float]:
        """Effectue un basculement progressif du trafic"""
        shifts = {}
        
        for percentage in [10, 25, 50, 75, 90, 100]:
            shifts[f"{percentage}%"] = await self._set_traffic_split(blue_nodes, green_nodes, percentage)
            await asyncio.sleep(5)  # Pause entre les shifts
        
        return shifts
    
    async def _set_traffic_split(self, blue_nodes: List[str], green_nodes: List[str], green_percentage: int) -> float:
        """Définit la répartition du trafic"""
        return green_percentage / 100.0
    
    async def _cleanup_old_deployment(self, package_id: str) -> Dict[str, Any]:
        """Nettoie l'ancien déploiement"""
        return {
            "package_removed": package_id,
            "resources_freed": True,
            "cleanup_time": "30s"
        }
    
    async def _scale_node_deployment(self, node_id: str, package: DeploymentPackage, factor: float) -> Dict[str, Any]:
        """Met à l'échelle le déploiement sur un nœud"""
        return {
            "node_id": node_id,
            "scaling_factor": factor,
            "new_replica_count": int(3 * factor),  # Exemple: 3 réplicas de base
            "resources_adjusted": True
        }
    
    async def _calculate_resource_allocation(self, scaling_results: Dict[str, Any]) -> Dict[str, float]:
        """Calcule la nouvelle allocation de ressources"""
        total_nodes = len(scaling_results)
        average_factor = sum(result.get("scaling_factor", 1) for result in scaling_results.values()) / total_nodes
        
        return {
            "average_scaling_factor": average_factor,
            "total_resource_increase": f"{((average_factor - 1) * 100):.1f}%",
            "estimated_cost_impact": f"{((average_factor - 1) * 50):.1f}%"  # Estimation
        }

# Instance globale du gestionnaire de déploiement
global_deployer = GlobalDeploymentManager()

async def initialize_global_deployment():
    """Initialise le système de déploiement global"""
    return await global_deployer.initialize()

async def deploy_worldwide(package: DeploymentPackage):
    """Déploie un package mondialement"""
    return await global_deployer.deploy_globally(package)