Test/test_autonomous_engineer.py

import asyncio
import pytest
from cortex.engineer.autonomous_engineer import AutonomousSoftwareEngineer, DevelopmentPhase, CodeGenerationStrategy
from cortex.engineer.quantum_compiler import QuantumCompiler, QuantumOptimizationLevel
from cortex.deployment.global_deployer import GlobalDeploymentManager, DeploymentPackage, InfrastructureProvider

class TestAutonomousEngineer:
    """Tests pour l'ingénieur logiciel autonome"""

    @pytest.fixture
    async def autonomous_engineer(self):
        """Fixture pour initialiser l'ingénieur autonome"""
        engineer = AutonomousSoftwareEngineer()
        await engineer.initialize()
        return engineer

    @pytest.mark.asyncio
    async def test_engineer_initialization(self, autonomous_engineer):
        """Test l'initialisation de l'ingénieur autonome"""
        assert autonomous_engineer is not None
        assert autonomous_engineer.current_phase == DevelopmentPhase.REQUIREMENT_ANALYSIS
        assert len(autonomous_engineer.generation_strategies) == 4

    @pytest.mark.asyncio
    async def test_custom_language_creation(self, autonomous_engineer):
        """Test la création d'un langage personnalisé"""
        domain = "quantum_computing"
        requirements = {
            "paradigms": ["quantum", "functional"],
            "memory_model": "quantum_hybrid",
            "target_platforms": ["simulator", "hardware"]
        }

        language = await autonomous_engineer.create_custom_language(domain, requirements)

        assert language is not None
        assert "name" in language
        assert "specification" in language
        assert "compiler_code" in language
        assert language["domain_specific"] is True
        assert domain in language["name"]

    @pytest.mark.asyncio
    async def test_quantum_architecture_generation(self, autonomous_engineer):
        """Test la génération d'architecture quantique"""
        requirements = {
            "quantum_processing": True,
            "error_correction": True,
            "scalability": "high"
        }

        architecture = await autonomous_engineer.generate_quantum_architecture(requirements)

        assert architecture is not None
        assert architecture.quantum_integration is True
        assert len(architecture.components) > 0
        assert architecture.scalability_score > 0

    @pytest.mark.asyncio
    async def test_self_evolving_codebase(self, autonomous_engineer, tmp_path):
        """Test l'auto-évolution d'une base de code"""
        # Création d'un répertoire temporaire pour la codebase
        codebase_path = tmp_path / "test_codebase"
        codebase_path.mkdir()

        # Création d'un fichier de code simple
        test_file = codebase_path / "example.py"
        test_file.write_text("def example_function():\n    return 42\n")

        optimization_targets = ["performance", "readability"]

        result = await autonomous_engineer.self_evolve_codebase(
            str(codebase_path), optimization_targets
        )

        assert "original_analysis" in result
        assert "improvement_opportunities" in result
        assert "applied_improvements" in result
        assert result["performance_gain"] >= 0

    @pytest.mark.asyncio
    async def test_self_improving_system_creation(self, autonomous_engineer):
        """Test la création d'un système auto-améliorant"""
        initial_capabilities = ["learning", "adaptation", "optimization"]

        system = await autonomous_engineer.create_self_improving_system(initial_capabilities)

        assert system is not None
        assert "architecture" in system
        assert "evolutionary_core" in system
        assert "learning_mechanisms" in system
        assert system["self_improvement_capabilities"] == initial_capabilities

class TestQuantumCompiler:
    """Tests pour le compilateur quantique"""

    @pytest.fixture
    async def quantum_compiler(self):
        """Fixture pour initialiser le compilateur quantique"""
        compiler = QuantumCompiler()
        await compiler.initialize()
        return compiler

    @pytest.mark.asyncio
    async def test_compiler_initialization(self, quantum_compiler):
        """Test l'initialisation du compilateur quantique"""
        assert quantum_compiler is not None
        assert len(quantum_compiler.optimization_passes) > 0
        assert len(quantum_compiler.quantum_patterns) > 0

    @pytest.mark.asyncio
    async def test_compile_to_quantum(self, quantum_compiler):
        """Test la compilation de code classique en circuit quantique"""
        source_code = """
def simple_function():
    for i in range(3):
        if i % 2 == 0:
            print(i)
"""

        circuit = await quantum_compiler.compile_to_quantum(
            source_code, QuantumOptimizationLevel.ADVANCED
        )

        assert circuit is not None
        assert circuit.qubits > 0
        assert len(circuit.gates) > 0
        assert circuit.optimization_level == QuantumOptimizationLevel.ADVANCED

    @pytest.mark.asyncio
    async def test_circuit_optimization(self, quantum_compiler):
        """Test l'optimisation de circuit quantique"""
        # Création d'un circuit simple
        from cortex.engineer.quantum_compiler import QuantumCircuit
        test_circuit = QuantumCircuit(
            name="test_circuit",
            qubits=5,
            gates=[{"type": "H", "target": i} for i in range(5)],
            classical_registers=5,
            optimization_level=QuantumOptimizationLevel.NONE,
            execution_time=1.0
        )

        optimized_circuit = await quantum_compiler.optimize_existing_circuit(
            test_circuit, "ibm_quantum"
        )

        assert optimized_circuit is not None
        assert optimized_circuit.optimization_level == QuantumOptimizationLevel.ADVANCED
        assert optimized_circuit.execution_time <= test_circuit.execution_time

    @pytest.mark.asyncio
    async def test_hybrid_code_generation(self, quantum_compiler):
        """Test la génération de code hybride"""
        classical_code = """
def calculate_sum(numbers):
    return sum(numbers)
"""

        quantum_accelerations = ["grover_search", "quantum_fourier"]

        hybrid_code = await quantum_compiler.generate_hybrid_code(
            classical_code, quantum_accelerations
        )

        assert hybrid_code is not None
        assert "hybrid_architecture" in hybrid_code
        assert "performance_estimate" in hybrid_code
        assert "quantum_speedup" in hybrid_code
        assert all(acc in hybrid_code["quantum_speedup"] for acc in quantum_accelerations)

class TestGlobalDeployer:
    """Tests pour le déploiement mondial"""

    @pytest.fixture
    async def global_deployer(self):
        """Fixture pour initialiser le déployeur global"""
        deployer = GlobalDeploymentManager()
        await deployer.initialize()
        return deployer

    @pytest.mark.asyncio
    async def test_deployer_initialization(self, global_deployer):
        """Test l'initialisation du déployeur global"""
        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):
        """Test le déploiement global"""
        deployment_package = DeploymentPackage(
            package_id="test_package",
            code_components={"main": "print('Hello World')"},
            dependencies=["python3.9"],
            configuration={"environment": "test"},
            quantum_optimizations=[],
            deployment_scripts={"start": "python main.py"}
        )

        deployment_result = await global_deployer.deploy_globally(deployment_package)

        assert deployment_result is not None
        assert "package_id" in deployment_result
        assert "deployed_regions" in deployment_result
        assert "deployment_results" in deployment_result
        assert deployment_result["package_id"] == "test_package"

    @pytest.mark.asyncio
    async def test_quantum_cluster_deployment(self, global_deployer):
        """Test le déploiement sur cluster quantique"""
        deployment_package = DeploymentPackage(
            package_id="quantum_test",
            code_components={"quantum_circuit": "H(0); CX(0,1);"},
            dependencies=["qiskit"],
            configuration={"backend": "ibm_quantum"},
            quantum_optimizations=["error_mitigation", "gate_optimization"],
            deployment_scripts={"execute": "python quantum_app.py"}
        )

        quantum_deployment = await global_deployer.deploy_to_quantum_cluster(
            deployment_package, InfrastructureProvider.IBM_QUANTUM
        )

        assert quantum_deployment is not None
        assert quantum_deployment["quantum_deployment"] is True
        assert quantum_deployment["provider"] == "ibm_quantum"
        assert "quantum_resources_allocated" in quantum_deployment

    @pytest.mark.asyncio
    async def test_blue_green_deployment(self, global_deployer):
        """Test le déploiement blue-green"""
        old_package = DeploymentPackage(
            package_id="old_version",
            code_components={"main": "print('Old version')"},
            dependencies=[],
            configuration={},
            quantum_optimizations=[],
            deployment_scripts={}
        )

        new_package = DeploymentPackage(
            package_id="new_version",
            code_components={"main": "print('New version')"},
            dependencies=[],
            configuration={},
            quantum_optimizations=[],
            deployment_scripts={}
        )

        # Déploiement initial de l'ancienne version
        await global_deployer.deploy_globally(old_package)

        # Déploiement blue-green
        blue_green_result = await global_deployer.perform_blue_green_deployment(
            "old_version", new_package
        )

        assert blue_green_result is not None
        assert blue_green_result["blue_green_success"] is True
        assert blue_green_result["old_package"] == "old_version"
        assert blue_green_result["new_package"] == "new_version"

@pytest.mark.asyncio
async def test_integrated_autonomous_workflow():
    """Test d'intégration du workflow autonome complet"""
    # Initialisation des composants
    engineer = AutonomousSoftwareEngineer()
    compiler = QuantumCompiler()
    deployer = GlobalDeploymentManager()

    await engineer.initialize()
    await compiler.initialize()
    await deployer.initialize()

    # 1. Création d'un langage personnalisé
    domain_language = await engineer.create_custom_language(
        "quantum_ml", 
        {"paradigms": ["quantum", "machine_learning"]}
    )

    # 2. Génération d'architecture quantique
    architecture = await engineer.generate_quantum_architecture({
        "quantum_processing": True,
        "machine_learning": True
    })

    # 3. Compilation de code hybride
    hybrid_code = await compiler.generate_hybrid_code(
        "def train_model(data):\n    return model",
        ["quantum_ml", "grover_search"]
    )

    # 4. Création du package de déploiement
    deployment_package = DeploymentPackage(
        package_id="quantum_ml_system",
        code_components=architecture.components,
        dependencies=["quantum_ml_language"],
        configuration=hybrid_code["hybrid_architecture"],
        quantum_optimizations=hybrid_code["quantum_speedup"].keys(),
        deployment_scripts={"start": "quantum_ml --start"}
    )

    # 5. Déploiement global
    deployment_result = await deployer.deploy_globally(deployment_package)

    # Vérifications
    assert domain_language is not None
    assert architecture is not None
    assert hybrid_code is not None
    assert deployment_result is not None

    print("✅ Test d'intégration autonome réussi!")

if __name__ == "__main__":
    # Exécution des tests d'intégration
    asyncio.run(test_integrated_autonomous_workflow())