Create Test/test_autonomous_engineer.py

Test/test_autonomous_engineer.py

@@ -0,0 +1,322 @@
+#!/usr/bin/env python3
+"""
+Tests pour l'Ingénieur Informatique Autonome Barouia-Cortex
+"""
+
+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())