import asyncio
import json
from typing import Dict, List, Optional, Any
from dataclasses import dataclass
from enum import Enum

class CloudProvider(Enum):
    AWS = "aws"
    AZURE = "azure"
    GCP = "gcp"
    ORACLE = "oracle"
    ALIBABA = "alibaba"
    ON_PREMISE = "on_premise"

@dataclass
class CloudRegion:
    provider: CloudProvider
    region_name: str
    availability_zones: List[str]
    network_cidrs: List[str]
    latency_zone: str
    cost_tier: str

@dataclass
class NetworkConnection:
    id: str
    source: CloudRegion
    destination: CloudRegion
    connection_type: str
    bandwidth: int
    latency: float
    cost_per_gb: float
    redundancy_level: str
    encryption_enabled: bool

class MultiCloudNetworkManager:
    def __init__(self):
        self.cloud_providers = {}
        self.network_topology = {}
        self.connections = {}
        self.routing_policies = {}
        self.traffic_policies = {}
        self.monitoring_agents = {}
        self.cost_optimizer = CloudCostOptimizer()
        self.latency_optimizer = LatencyOptimizer()
        self.security_manager = CloudSecurityManager()
        
    def register_cloud_provider(self, provider_config):
        """Register cloud provider with networking configuration"""
        provider = CloudProviderConnector(
            provider_type=provider_config['type'],
            credentials=provider_config['credentials'],
            regions=provider_config['regions'],
            network_config=provider_config['network_config']
        )
        
        self.cloud_providers[provider_config['type']] = provider
        
        # Initialize provider-specific networking
        provider.initialize_networking()
        
        return provider
    
    def design_optimal_topology(self, requirements):
        """Design optimal multi-cloud network topology"""
        # Analyze requirements
        latency_requirements = requirements.get('latency_requirements', {})
        bandwidth_requirements = requirements.get('bandwidth_requirements', {})
        cost_constraints = requirements.get('cost_constraints', {})
        redundancy_requirements = requirements.get('redundancy_requirements', {})
        
        # Generate topology options
        topology_options = self.generate_topology_options(requirements)
        
        # Evaluate each topology
        best_topology = None
        best_score = float('-inf')
        
        for topology in topology_options:
            score = self.evaluate_topology(
                topology, 
                latency_requirements,
                bandwidth_requirements,
                cost_constraints,
                redundancy_requirements
            )
            
            if score > best_score:
                best_score = score
                best_topology = topology
        
        return best_topology
    
    def establish_inter_cloud_connectivity(self, connection_config):
        """Establish connectivity between cloud providers"""
        source_provider = connection_config['source_provider']
        dest_provider = connection_config['destination_provider']
        
        # Select optimal connection method
        connection_method = self.select_connection_method(
            source_provider, dest_provider, connection_config
        )
        
        if connection_method == 'direct_connect':
            return self.establish_direct_connect(connection_config)
        elif connection_method == 'vpn':
            return self.establish_vpn_connection(connection_config)
        elif connection_method == 'transit_gateway':
            return self.establish_transit_gateway(connection_config)
        elif connection_method == 'private_peering':
            return self.establish_private_peering(connection_config)
    
    def establish_direct_connect(self, config):
        """Establish direct physical connection"""
        if config['source_provider'] == CloudProvider.AWS:
            return self.establish_aws_direct_connect(config)
        elif config['source_provider'] == CloudProvider.AZURE:
            return self.establish_azure_expressroute(config)
        elif config['source_provider'] == CloudProvider.GCP:
            return self.establish_gcp_interconnect(config)
    
    def establish_aws_direct_connect(self, config):
        """Establish AWS Direct Connect"""
        import boto3
        
        dx_client = boto3.client('directconnect', 
                                region_name=config['region'])
        
        # Create Direct Connect gateway
        dx_gateway = dx_client.create_direct_connect_gateway(
            name=f"dx-gateway-{config['name']}",
            amazonSideAsn=config.get('amazon_asn', 64512)
        )
        
        # Create virtual interface
        vif = dx_client.create_private_virtual_interface(
            connectionId=config['connection_id'],
            newPrivateVirtualInterface={
                'virtualInterfaceName': f"vif-{config['name']}",
                'vlan': config['vlan'],
                'asn': config['customer_asn'],
                'authKey': config.get('bgp_auth_key'),
                'amazonAddress': config['amazon_ip'],
                'customerAddress': config['customer_ip'],
                'addressFamily': config.get('address_family', 'ipv4'),
                'directConnectGatewayId': dx_gateway['directConnectGateway']['directConnectGatewayId']
            }
        )
        
        return {
            'gateway_id': dx_gateway['directConnectGateway']['directConnectGatewayId'],
            'vif_id': vif['virtualInterface']['virtualInterfaceId'],
            'connection_type': 'aws_direct_connect'
        }
    
    def establish_azure_expressroute(self, config):
        """Establish Azure ExpressRoute"""
        from azure.mgmt.network import NetworkManagementClient
        from azure.identity import DefaultAzureCredential
        
        credential = DefaultAzureCredential()
        network_client = NetworkManagementClient(
            credential, config['subscription_id']
        )
        
        # Create ExpressRoute circuit
        circuit_params = {
            'location': config['location'],
            'sku': {
                'name': config.get('sku_name', 'Standard_MeteredData'),
                'tier': config.get('sku_tier', 'Standard'),
                'family': config.get('sku_family', 'MeteredData')
            },
            'service_provider_properties': {
                'service_provider_name': config['service_provider'],
                'peering_location': config['peering_location'],
                'bandwidth_in_mbps': config['bandwidth']
            }
        }
        
        circuit = network_client.express_route_circuits.begin_create_or_update(
            config['resource_group'],
            f"er-circuit-{config['name']}",
            circuit_params
        ).result()
        
        return {
            'circuit_id': circuit.id,
            'service_key': circuit.service_key,
            'connection_type': 'azure_expressroute'
        }
    
    def optimize_traffic_routing(self, traffic_patterns):
        """Optimize traffic routing across multi-cloud environment"""
        optimizations = []
        
        for pattern in traffic_patterns:
            # Analyze current routing
            current_path = self.get_current_path(
                pattern['source'], pattern['destination']
            )
            
            # Calculate alternative paths
            alternative_paths = self.calculate_alternative_paths(
                pattern['source'], pattern['destination']
            )
            
            # Evaluate path performance
            best_path = self.select_optimal_path(
                alternative_paths, pattern['requirements']
            )
            
            if best_path != current_path:
                optimization = TrafficOptimization(
                    source=pattern['source'],
                    destination=pattern['destination'],
                    current_path=current_path,
                    optimal_path=best_path,
                    expected_improvement=self.calculate_improvement(
                        current_path, best_path
                    )
                )
                optimizations.append(optimization)
        
        return optimizations
    
    def implement_global_load_balancing(self, config):
        """Implement global load balancing across clouds"""
        global_lb = GlobalLoadBalancer(
            providers=config['providers'],
            health_check_config=config['health_checks'],
            routing_algorithm=config.get('algorithm', 'weighted_round_robin'),
            failover_config=config['failover']
        )
        
        # Configure health checks
        for provider in config['providers']:
            health_check = HealthCheck(
                provider=provider,
                endpoint=provider['health_endpoint'],
                interval=config['health_checks'].get('interval', 30),
                timeout=config['health_checks'].get('timeout', 5),
                healthy_threshold=config['health_checks'].get('healthy_threshold', 2),
                unhealthy_threshold=config['health_checks'].get('unhealthy_threshold', 3)
            )
            global_lb.add_health_check(health_check)
        
        # Configure DNS-based routing
        dns_config = DNSRoutingConfig(
            hosted_zone=config['dns']['hosted_zone'],
            health_checks=global_lb.health_checks,
            routing_policies=config['dns']['routing_policies']
        )
        
        global_lb.configure_dns_routing(dns_config)
        
        return global_lb

class HybridCloudConnectivity:
    """Manage hybrid cloud connectivity scenarios"""
    
    def __init__(self):
        self.on_premise_gateways = {}
        self.cloud_gateways = {}
        self.vpn_connections = {}
        self.direct_connections = {}
        self.sd_wan_controller = SDWANController()
        
    def design_hybrid_architecture(self, requirements):
        """Design optimal hybrid cloud architecture"""
        architecture = HybridArchitecture()
        
        # Analyze on-premises infrastructure
        on_prem_analysis = self.analyze_on_premise_infrastructure(
            requirements['on_premise']
        )
        
        # Analyze cloud requirements
        cloud_analysis = self.analyze_cloud_requirements(
            requirements['cloud_requirements']
        )
        
        # Design connectivity strategy
        connectivity_strategy = self.design_connectivity_strategy(
            on_prem_analysis, cloud_analysis, requirements['constraints']
        )
        
        # Implement redundancy and failover
        redundancy_config = self.design_redundancy(
            connectivity_strategy, requirements['availability_requirements']
        )
        
        architecture.connectivity_strategy = connectivity_strategy
        architecture.redundancy_config = redundancy_config
        
        return architecture
    
    def implement_sd_wan_overlay(self, config):
        """Implement SD-WAN overlay for hybrid connectivity"""
        sd_wan_overlay = SDWANOverlay(
            controller=self.sd_wan_controller,
            sites=config['sites'],
            policies=config['policies'],
            sla_requirements=config['sla_requirements']
        )
        
        # Configure WAN edge devices
        for site in config['sites']:
            edge_device = self.configure_wan_edge(site)
            sd_wan_overlay.add_edge_device(edge_device)
        
        # Configure overlay tunnels
        tunnels = self.create_overlay_tunnels(config['sites'])
        sd_wan_overlay.tunnels = tunnels
        
        # Implement traffic policies
        for policy in config['policies']:
            sd_wan_overlay.apply_policy(policy)
        
        return sd_wan_overlay
    
    def configure_wan_edge(self, site_config):
        """Configure WAN edge device for site"""
        edge_device = WANEdgeDevice(
            site_id=site_config['site_id'],
            location=site_config['location'],
            wan_interfaces=site_config['wan_interfaces'],
            lan_interfaces=site_config['lan_interfaces']
        )
        
        # Configure transport interfaces
        for interface in site_config['wan_interfaces']:
            transport_config = TransportConfig(
                interface_type=interface['type'],
                bandwidth=interface['bandwidth'],
                cost=interface['cost'],
                reliability=interface['reliability'],
                latency=interface['latency']
            )
            edge_device.add_transport(transport_config)
        
        # Configure security policies
        security_policies = self.generate_security_policies(site_config)
        edge_device.apply_security_policies(security_policies)
        
        return edge_device

class CloudNetworkOptimizer:
    """Optimize network performance across cloud environments"""
    
    def __init__(self):
        self.performance_monitor = CloudPerformanceMonitor()
        self.cost_analyzer = CloudCostAnalyzer()
        self.latency_optimizer = LatencyOptimizer()
        self.bandwidth_optimizer = BandwidthOptimizer()
        
    def optimize_inter_cloud_performance(self, network_topology):
        """Optimize performance between cloud environments"""
        optimizations = []
        
        # Analyze current performance
        performance_data = self.performance_monitor.collect_metrics(
            time_window=3600  # 1 hour
        )
        
        # Identify bottlenecks
        bottlenecks = self.identify_bottlenecks(performance_data)
        
        for bottleneck in bottlenecks:
            if bottleneck.type == 'latency':
                optimization = self.optimize_latency(bottleneck)
            elif bottleneck.type == 'bandwidth':
                optimization = self.optimize_bandwidth(bottleneck)
            elif bottleneck.type == 'packet_loss':
                optimization = self.optimize_reliability(bottleneck)
            
            optimizations.append(optimization)
        
        return optimizations
    
    def optimize_latency(self, latency_bottleneck):
        """Optimize latency for specific connection"""
        current_path = latency_bottleneck.path
        
        # Find alternative paths with lower latency
        alternative_paths = self.find_alternative_paths(
            current_path.source,
            current_path.destination
        )
        
        best_latency_path = min(
            alternative_paths,
            key=lambda path: path.average_latency
        )
        
        if best_latency_path.average_latency < current_path.average_latency * 0.8:
            return LatencyOptimization(
                original_path=current_path,
                optimized_path=best_latency_path,
                latency_improvement=current_path.average_latency - best_latency_path.average_latency
            )
        
        return None
    
    def implement_traffic_shaping(self, shaping_policies):
        """Implement traffic shaping across cloud connections"""
        for policy in shaping_policies:
            if policy.connection_type == 'vpn':
                self.implement_vpn_traffic_shaping(policy)
            elif policy.connection_type == 'direct_connect':
                self.implement_direct_connect_shaping(policy)
            elif policy.connection_type == 'internet':
                self.implement_internet_traffic_shaping(policy)
    
    def calculate_cost_optimization(self, usage_patterns):
        """Calculate cost optimizations for network usage"""
        cost_analysis = self.cost_analyzer.analyze_current_costs()
        
        optimizations = []
        
        # Analyze data transfer costs
        for transfer in usage_patterns['data_transfers']:
            current_cost = self.calculate_transfer_cost(transfer)
            
            # Consider alternative routing
            alternative_routes = self.find_cost_effective_routes(transfer)
            
            for route in alternative_routes:
                alternative_cost = self.calculate_route_cost(route)
                
                if alternative_cost < current_cost * 0.9:  # 10% savings threshold
                    optimization = CostOptimization(
                        transfer=transfer,
                        current_cost=current_cost,
                        optimized_route=route,
                        optimized_cost=alternative_cost,
                        savings=current_cost - alternative_cost
                    )
                    optimizations.append(optimization)
        
        return optimizations

class MultiCloudSecurityManager:
    """Manage security across multi-cloud environments"""
    
    def __init__(self):
        self.encryption_manager = EncryptionManager()
        self.identity_federation = IdentityFederation()
        self.network_security_groups = {}
        self.vpn_managers = {}
        
    def implement_zero_trust_networking(self, config):
        """Implement zero trust networking across clouds"""
        zero_trust_config = ZeroTrustConfig(
            identity_verification=config['identity_verification'],
            device_verification=config['device_verification'],
            application_verification=config['application_verification'],
            continuous_monitoring=config['continuous_monitoring']
        )
        
        # Configure identity federation
        for provider in config['cloud_providers']:
            self.identity_federation.configure_provider(
                provider, config['identity_verification']
            )
        
        # Implement network micro-segmentation
        for segment in config['network_segments']:
            self.implement_micro_segmentation(segment)
        
        # Configure encrypted communications
        encryption_policies = self.create_encryption_policies(config)
        self.encryption_manager.apply_policies(encryption_policies)
        
        return zero_trust_config
    
    def configure_cross_cloud_encryption(self, encryption_config):
        """Configure encryption for cross-cloud communications"""
        encryption_setup = CrossCloudEncryption()
        
        # Generate encryption keys
        key_management = self.setup_key_management(encryption_config)
        
        # Configure tunnel encryption
        for tunnel_config in encryption_config['tunnels']:
            tunnel = EncryptedTunnel(
                source=tunnel_config['source'],
                destination=tunnel_config['destination'],
                encryption_algorithm=tunnel_config.get('algorithm', 'AES-256-GCM'),
                key_exchange=tunnel_config.get('key_exchange', 'ECDH'),
                authentication=tunnel_config.get('authentication', 'SHA-256')
            )
            
            encryption_setup.add_tunnel(tunnel)
        
        return encryption_setup

class MultiCloudMonitoring:
    """Comprehensive monitoring across multi-cloud environments"""
    
    def __init__(self):
        self.metrics_collectors = {}
        self.log_aggregators = {}
        self.alerting_engine = AlertingEngine()
        self.dashboard_engine = DashboardEngine()
        
    def setup_unified_monitoring(self, monitoring_config):
        """Setup unified monitoring across all cloud providers"""
        unified_monitoring = UnifiedMonitoringSystem()
        
        # Configure metrics collection
        for provider in monitoring_config['providers']:
            collector = self.create_metrics_collector(provider)
            self.metrics_collectors[provider['name']] = collector
            unified_monitoring.add_collector(collector)
        
        # Configure log aggregation
        log_aggregator = LogAggregator(
            sources=monitoring_config['log_sources'],
            processing_rules=monitoring_config['log_processing'],
            storage_backend=monitoring_config['log_storage']
        )
        
        # Configure alerting
        for alert_config in monitoring_config['alerts']:
            alert_rule = AlertRule(
                name=alert_config['name'],
                condition=alert_config['condition'],
                threshold=alert_config['threshold'],
                notification_channels=alert_config['channels']
            )
            self.alerting_engine.add_rule(alert_rule)
        
        # Create dashboards
        for dashboard_config in monitoring_config['dashboards']:
            dashboard = self.dashboard_engine.create_dashboard(dashboard_config)
            unified_monitoring.add_dashboard(dashboard)
        
        return unified_monitoring
    
    def generate_network_topology_view(self):
        """Generate visual representation of multi-cloud network topology"""
        topology_data = {
            'nodes': [],
            'edges': [],
            'regions': [],
            'metrics': {}
        }
        
        # Add cloud provider nodes
        for provider_name, provider in self.cloud_providers.items():
            for region in provider.regions:
                node = {
                    'id': f"{provider_name}_{region.region_name}",
                    'type': 'cloud_region',
                    'provider': provider_name,
                    'region': region.region_name,
                    'availability_zones': region.availability_zones,
                    'networks': region.network_cidrs
                }
                topology_data['nodes'].append(node)
        
        # Add connections as edges
        for connection_id, connection in self.connections.items():
            edge = {
                'id': connection_id,
                'source': f"{connection.source.provider.value}_{connection.source.region_name}",
                'target': f"{connection.destination.provider.value}_{connection.destination.region_name}",
                'type': connection.connection_type,
                'bandwidth': connection.bandwidth,
                'latency': connection.latency,
                'cost': connection.cost_per_gb
            }
            topology_data['edges'].append(edge)
        
        return topology_data