Tests/test_global_deployment.py

import asyncio
import pytest
import tempfile
from cortex.deployment.global_deployer import GlobalDeploymentManager, DeploymentStatus, InfrastructureProvider, DeploymentPackage
from cortex.deployment.quantum_network import QuantumNetworkManager, QuantumConnectionType, NetworkTopology
from cortex.engineer.autonomous_engineer import CodeComponent

class TestGlobalDeployment:
    """Tests pour le gestionnaire de déploiement global"""
    
    @pytest.fixture
    async def global_deployer(self):
        """Fixture pour initialiser le gestionnaire de déploiement"""
        deployer = GlobalDeploymentManager()
        await deployer.initialize()
        return deployer
    
    @pytest.fixture
    def sample_deployment_package(self):
        """Fixture pour créer un package de déploiement de test"""
        return DeploymentPackage(
            package_id="test_package_1",
            code_components={
                "main": CodeComponent(
                    id="main",
                    code="print('Hello Quantum World')",
                    language="python",
                    dependencies=[],
                    complexity=1.0,
                    quality_score=0.9,
                    optimization_level=1
                )
            },
            dependencies=["numpy", "qiskit"],
            configuration={"environment": "production", "quantum_enabled": True},
            quantum_optimizations=["quantum_parallelism", "entanglement_optimization"],
            deployment_scripts={
                "docker": "FROM python:3.9\nCOPY . .\nCMD python main.py",
                "kubernetes": "apiVersion: apps/v1\nkind: Deployment"
            }
        )
    
    @pytest.mark.asyncio
    async def test_deployer_initialization(self, global_deployer):
        """Test l'initialisation du gestionnaire de déploiement"""
        assert global_deployer is not None
        assert len(global_deployer.deployment_nodes) > 0
        assert global_deployer.docker_client is not None
    
    @pytest.mark.asyncio
    async def test_global_deployment(self, global_deployer, sample_deployment_package):
        """Test le déploiement global d'un package"""
        result = await global_deployer.deploy_globally(sample_deployment_package)
        
        assert result is not None
        assert "package_id" in result
        assert "deployed_regions" in result
        assert "deployment_results" in result
        assert result["package_id"] == sample_deployment_package.package_id
        assert len(result["deployed_regions"]) > 0
    
    @pytest.mark.asyncio
    async def test_quantum_cluster_deployment(self, global_deployer, sample_deployment_package):
        """Test le déploiement sur cluster quantique"""
        result = await global_deployer.deploy_to_quantum_cluster(
            sample_deployment_package,
            InfrastructureProvider.IBM_QUANTUM
        )
        
        assert result is not None
        assert result["quantum_deployment"] is True
        assert result["provider"] == "ibm_quantum"
        assert "quantum_resources_allocated" in result
    
    @pytest.mark.asyncio
    async def test_global_scaling(self, global_deployer, sample_deployment_package):
        """Test la mise à l'échelle globale"""
        # Déploiement initial
        deployment_result = await global_deployer.deploy_globally(sample_deployment_package)
        
        # Mise à l'échelle
        scaling_result = await global_deployer.scale_global_deployment(
            sample_deployment_package.package_id,
            scaling_factor=2.0
        )
        
        assert scaling_result is not None
        assert scaling_result["package_id"] == sample_deployment_package.package_id
        assert scaling_result["scaling_factor"] == 2.0
        assert "scaling_results" in scaling_result
        assert "new_resource_allocation" in scaling_result
    
    @pytest.mark.asyncio
    async def test_quantum_replication_network(self, global_deployer):
        """Test la création d'un réseau de réplication quantique"""
        test_nodes = list(global_deployer.deployment_nodes.keys())[:3]  # 3 premiers nœuds
        
        result = await global_deployer.establish_quantum_replication_network(test_nodes)
        
        assert result is True
        assert len(global_deployer.quantum_replication_links) >= len(test_nodes) - 1
    
    @pytest.mark.asyncio
    async def test_blue_green_deployment(self, global_deployer, sample_deployment_package):
        """Test le déploiement blue-green"""
        # Package "ancienne version"
        old_package = sample_deployment_package
        
        # Package "nouvelle version"
        new_package = DeploymentPackage(
            package_id="test_package_2",
            code_components={
                "main": CodeComponent(
                    id="main",
                    code="print('Hello Quantum World v2')",
                    language="python",
                    dependencies=[],
                    complexity=1.1,
                    quality_score=0.95,
                    optimization_level=2
                )
            },
            dependencies=["numpy", "qiskit", "pennylane"],
            configuration={"environment": "production", "quantum_enabled": True, "version": "2.0"},
            quantum_optimizations=["advanced_quantum_parallelism", "error_mitigation"],
            deployment_scripts=sample_deployment_package.deployment_scripts
        )
        
        # Déploiement blue-green
        result = await global_deployer.perform_blue_green_deployment(
            old_package.package_id, new_package
        )
        
        assert result is not None
        assert result["blue_green_success"] is True
        assert result["old_package"] == old_package.package_id
        assert result["new_package"] == new_package.package_id
        assert "traffic_shift" in result
        assert "cleanup" in result

class TestQuantumNetwork:
    """Tests pour le réseau quantique"""
    
    @pytest.fixture
    async def quantum_network(self):
        """Fixture pour initialiser le réseau quantique"""
        network = QuantumNetworkManager()
        await network.initialize()
        return network
    
    @pytest.mark.asyncio
    async def test_network_initialization(self, quantum_network):
        """Test l'initialisation du réseau quantique"""
        assert quantum_network is not None
        assert len(quantum_network.quantum_nodes) > 0
        assert len(quantum_network.quantum_channels) > 0
    
    @pytest.mark.asyncio
    async def test_quantum_connection_establishment(self, quantum_network):
        """Test l'établissement de connexions quantiques"""
        nodes = list(quantum_network.quantum_nodes.keys())
        if len(nodes) >= 2:
            node_a, node_b = nodes[0], nodes[1]
            
            channel = await quantum_network.establish_quantum_connection(
                node_a, node_b, QuantumConnectionType.BELL_PAIR
            )
            
            assert channel is not None
            assert channel.node_a == node_a
            assert channel.node_b == node_b
            assert channel.entanglement_fidelity > 0.8
            assert channel.quantum_memory is True
    
    @pytest.mark.asyncio
    async def test_network_topology_creation(self, quantum_network):
        """Test la création de topologies de réseau"""
        result = await quantum_network.create_quantum_network_topology(
            NetworkTopology.MESH
        )
        
        assert result is True
        assert quantum_network.network_topology == NetworkTopology.MESH
        
        # Vérifie que tous les nœuds sont connectés dans une topologie maillée
        total_possible_connections = len(quantum_network.quantum_nodes) * (len(quantum_network.quantum_nodes) - 1) // 2
        assert len(quantum_network.quantum_channels) >= total_possible_connections * 0.5  # Au moins 50% des connexions possibles
    
    @pytest.mark.asyncio
    async def test_quantum_data_teleportation(self, quantum_network):
        """Test la téléportation quantique de données"""
        nodes = list(quantum_network.quantum_nodes.keys())
        if len(nodes) >= 2:
            source, target = nodes[0], nodes[1]
            test_data = {"message": "Hello Quantum World", "timestamp": 1234567890}
            
            result = await quantum_network.quantum_teleport_data(test_data, source, target)
            
            assert result is not None
            assert result["data_teleported"] == test_data
            assert result["source"] == source
            assert result["target"] == target
            assert result["success"] is True
            assert result["fidelity"] > 0.8
    
    @pytest.mark.asyncio
    async def test_quantum_state_distribution(self, quantum_network):
        """Test la distribution d'états quantiques"""
        quantum_state = {
            "type": "superposition",
            "amplitudes": [0.707, 0.707],
            "qubits": 1
        }
        
        target_nodes = list(quantum_network.quantum_nodes.keys())[:3]  # 3 premiers nœuds
        
        result = await quantum_network.distribute_quantum_state(quantum_state, target_nodes)
        
        assert result is not None
        assert result["original_state"] == quantum_state
        assert "distribution_results" in result
        assert len(result["distribution_results"]) == len(target_nodes)
        assert result["consistency_check"] is True
    
    @pytest.mark.asyncio
    async def test_global_entanglement(self, quantum_network):
        """Test l'établissement d'intrication quantique globale"""
        result = await quantum_network.establish_global_entanglement()
        
        assert result is True
        assert len(quantum_network.entanglement_pairs) >= len(quantum_network.quantum_nodes) - 1
    
    @pytest.mark.asyncio
    async def test_network_routing_optimization(self, quantum_network):
        """Test l'optimisation du routage réseau"""
        result = await quantum_network.optimize_network_routing(
            "quantum_data", "latency"
        )
        
        assert result is not None
        assert "routing_strategy" in result
        assert "optimized_routes" in result
        assert "estimated_improvement" in result
        assert "quantum_advantages" in result
        assert result["estimated_improvement"] > 0

@pytest.mark.asyncio
async def test_global_deployment_integration():
    """Test d'intégration complet du système de déploiement global"""
    # Initialisation de tous les composants
    deployer = GlobalDeploymentManager()
    network = QuantumNetworkManager()
    
    await deployer.initialize()
    await network.initialize()
    
    # Création d'un package de test
    test_package = DeploymentPackage(
        package_id="integration_test_package",
        code_components={
            "quantum_processor": CodeComponent(
                id="quantum_processor",
                code="class QuantumProcessor:\n    def execute(self):\n        return 'quantum_result'",
                language="python",
                dependencies=["qiskit"],
                complexity=2.5,
                quality_score=0.92,
                optimization_level=3
            )
        },
        dependencies=["qiskit", "numpy", "pennylane"],
        configuration={
            "environment": "production",
            "quantum_enabled": True,
            "replication": "global"
        },
        quantum_optimizations=[
            "entanglement_parallelism",
            "quantum_error_correction",
            "superposition_optimization"
        ],
        deployment_scripts={
            "docker": "FROM python:3.9\nWORKDIR /app\nCOPY . .\nRUN pip install -r requirements.txt\nCMD python main.py",
            "kubernetes": """
apiVersion: apps/v1
kind: Deployment
metadata:
  name: barouia-cortex
spec:
  replicas: 3
  selector:
    matchLabels:
      app: barouia-cortex
  template:
    metadata:
      labels:
        app: barouia-cortex
    spec:
      containers:
      - name: barouia-cortex
        image: barouia/cortex:latest
        ports:
        - containerPort: 8000
"""
        }
    )
    
    # Workflow de test intégré
    # 1. Déploiement global
    deployment_result = await deployer.deploy_globally(test_package)
    
    # 2. Établissement du réseau quantique
    network_topology_result = await network.create_quantum_network_topology(
        NetworkTopology.QUANTUM_FULLY_CONNECTED
    )
    
    # 3. Téléportation de données quantiques
    if len(network.quantum_nodes) >= 2:
        nodes = list(network.quantum_nodes.keys())
        teleportation_result = await network.quantum_teleport_data(
            {"test": "quantum_integration_data"}, nodes[0], nodes[1]
        )
    
    # 4. Mise à l'échelle du déploiement
    scaling_result = await deployer.scale_global_deployment(
        test_package.package_id, 1.5
    )
    
    # Vérifications
    assert deployment_result is not None
    assert network_topology_result is True
    assert scaling_result is not None
    
    print("✅ Tests d'intégration de déploiement global réussis!")

@pytest.mark.asyncio
async def test_quantum_hybrid_deployment():
    """Test le déploiement hybride classique-quantique"""
    deployer = GlobalDeploymentManager()
    await deployer.initialize()
    
    # Package avec composants classiques et quantiques
    hybrid_package = DeploymentPackage(
        package_id="hybrid_system",
        code_components={
            "classical_ml": CodeComponent(
                id="classical_ml",
                code="# Classical machine learning component",
                language="python",
                dependencies=["scikit-learn", "tensorflow"],
                complexity=2.0,
                quality_score=0.88,
                optimization_level=2
            ),
            "quantum_accelerator": CodeComponent(
                id="quantum_accelerator", 
                code="# Quantum acceleration component",
                language="python",
                dependencies=["qiskit", "pennylane"],
                complexity=3.0,
                quality_score=0.91,
                optimization_level=3
            )
        },
        dependencies=["scikit-learn", "tensorflow", "qiskit", "pennylane"],
        configuration={
            "hybrid_architecture": True,
            "quantum_classical_interface": "optimized"
        },
        quantum_optimizations=[
            "quantum_classical_hybrid",
            "parameter_shift_optimization"
        ],
        deployment_scripts={}
    )
    
    # Déploiement sur infrastructure mixte
    classical_result = await deployer.deploy_globally(hybrid_package)
    quantum_result = await deployer.deploy_to_quantum_cluster(
        hybrid_package, InfrastructureProvider.IBM_QUANTUM
    )
    
    assert classical_result is not None
    assert quantum_result is not None
    assert classical_result["quantum_replication"] is True
    assert quantum_result["quantum_deployment"] is True
    
    print("✅ Test de déploiement hybride réussi!")

if __name__ == "__main__":
    # Exécution des tests
    asyncio.run(test_global_deployment_integration())
    asyncio.run(test_quantum_hybrid_deployment())