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unittest.mock import Mock, MagicMock + + +@pytest.fixture +def temp_dir() -> Generator[Path, None, None]: + """Create a temporary directory for test files.""" + temp_path = tempfile.mkdtemp() + yield Path(temp_path) + shutil.rmtree(temp_path, ignore_errors=True) + + +@pytest.fixture +def mock_config() -> Dict[str, Any]: + """Provide a mock configuration dictionary.""" + return { + "api_version": "v1", + "host": "localhost", + "port": 8080, + "debug": True, + "log_level": "DEBUG", + "database": { + "host": "localhost", + "port": 5432, + "name": "test_db", + "user": "test_user", + "password": "test_password" + }, + "redis": { + "host": "localhost", + "port": 6379, + "db": 0 + }, + "model_config": { + "batch_size": 32, + "epochs": 10, + "learning_rate": 0.001 + } + } + + +@pytest.fixture +def mock_logger() -> Mock: + """Provide a mock logger.""" + logger = Mock() + logger.debug = Mock() + logger.info = Mock() + logger.warning = Mock() + logger.error = Mock() + logger.exception = Mock() + return logger + + +@pytest.fixture +def sample_image_path(temp_dir: Path) -> Path: + """Create a sample image file path.""" + image_path = temp_dir / "sample_image.jpg" + image_path.write_bytes(b"fake image content") + return image_path + + +@pytest.fixture +def sample_model_path(temp_dir: Path) -> Path: + """Create a sample model file path.""" + model_path = temp_dir / "sample_model.h5" + model_path.write_bytes(b"fake model content") + return model_path + + +@pytest.fixture +def mock_request() -> Mock: + """Provide a mock HTTP request object.""" + request = Mock() + request.method = "GET" + request.path = "/api/v1/test" + request.headers = {"Content-Type": "application/json"} + request.json = Mock(return_value={}) + request.args = {} + request.files = {} + return request + + +@pytest.fixture +def mock_response() -> Mock: + """Provide a mock HTTP response object.""" + response = Mock() + response.status_code = 200 + response.json = Mock(return_value={}) + response.text = "" + return response + + +@pytest.fixture +def sample_training_data() -> Dict[str, Any]: + """Provide sample training data structure.""" + return { + "dataset_name": "test_dataset", + "images": [ + {"id": 1, "path": "/data/image1.jpg", "label": "cat"}, + {"id": 2, "path": "/data/image2.jpg", "label": "dog"} + ], + "labels": ["cat", "dog", "bird"], + "split_ratio": {"train": 0.8, "val": 0.1, "test": 0.1} + } + + +@pytest.fixture +def sample_inference_data() -> Dict[str, Any]: + """Provide sample inference data structure.""" + return { + "image_path": "/data/test_image.jpg", + "model_name": "test_model", + "confidence_threshold": 0.5, + "max_detections": 10 + } + + +@pytest.fixture +def mock_docker_client() -> Mock: + """Provide a mock Docker client.""" + client = Mock() + client.containers = Mock() + client.images = Mock() + client.networks = Mock() + client.volumes = Mock() + return client + + +@pytest.fixture(autouse=True) +def reset_environment(): + """Reset environment variables before each test.""" + original_env = os.environ.copy() + yield + os.environ.clear() + os.environ.update(original_env) + + +@pytest.fixture +def mock_database_connection() -> Mock: + """Provide a mock database connection.""" + connection = Mock() + connection.execute = Mock(return_value=Mock()) + connection.commit = Mock() + connection.rollback = Mock() + connection.close = Mock() + return connection + + +@pytest.fixture +def async_mock(): + """Create an async mock object.""" + return MagicMock(__aenter__=MagicMock(return_value=None), + __aexit__=MagicMock(return_value=None)) + + +@pytest.fixture +def mock_file_upload() -> Dict[str, Any]: + """Provide a mock file upload object.""" + return { + "filename": "test_file.txt", + "content_type": "text/plain", + "data": b"test file content" + } + + +def pytest_configure(config): + """Configure pytest with custom settings.""" + config.addinivalue_line( + "markers", "requires_gpu: mark test as requiring GPU" + ) + config.addinivalue_line( + "markers", "requires_docker: mark test as requiring Docker" + ) + config.addinivalue_line( + "markers", "requires_network: mark test as requiring network access" + ) \ No newline at end of file diff --git a/tests/integration/__init__.py b/tests/integration/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/tests/test_infrastructure_validation.py b/tests/test_infrastructure_validation.py new file mode 100644 index 0000000..c74f4f0 --- /dev/null +++ b/tests/test_infrastructure_validation.py @@ -0,0 +1,106 @@ +"""Validation tests to ensure testing infrastructure is properly set up.""" + +import os +from pathlib import Path + +import pytest + + +class TestInfrastructureValidation: + """Validate that the testing infrastructure is properly configured.""" + + def test_pytest_installed(self): + """Verify pytest is available.""" + assert pytest.__version__ + + def test_project_structure_exists(self): + """Verify required project directories exist.""" + workspace_root = Path("/workspace") + assert workspace_root.exists() + assert (workspace_root / "tests").exists() + assert (workspace_root / "tests" / "unit").exists() + assert (workspace_root / "tests" / "integration").exists() + + def test_conftest_exists(self): + """Verify conftest.py exists with fixtures.""" + conftest_path = Path("/workspace/tests/conftest.py") + assert conftest_path.exists() + assert conftest_path.stat().st_size > 0 + + def test_pyproject_toml_exists(self): + """Verify pyproject.toml exists with proper configuration.""" + pyproject_path = Path("/workspace/pyproject.toml") + assert pyproject_path.exists() + + content = pyproject_path.read_text() + assert "[tool.poetry]" in content + assert "[tool.pytest.ini_options]" in content + assert "[tool.coverage.run]" in content + + @pytest.mark.unit + def test_unit_marker(self): + """Verify unit test marker works.""" + assert True + + @pytest.mark.integration + def test_integration_marker(self): + """Verify integration test marker works.""" + assert True + + @pytest.mark.slow + def test_slow_marker(self): + """Verify slow test marker works.""" + assert True + + def test_fixtures_available(self, temp_dir, mock_config, mock_logger): + """Verify custom fixtures are available and working.""" + assert temp_dir.exists() + assert isinstance(temp_dir, Path) + + assert isinstance(mock_config, dict) + assert "api_version" in mock_config + + assert hasattr(mock_logger, "info") + assert hasattr(mock_logger, "error") + + def test_sample_data_fixtures(self, sample_training_data, sample_inference_data): + """Verify data fixtures provide expected structure.""" + assert "dataset_name" in sample_training_data + assert "images" in sample_training_data + assert len(sample_training_data["images"]) > 0 + + assert "image_path" in sample_inference_data + assert "model_name" in sample_inference_data + + def test_mock_fixtures(self, mock_request, mock_response, mock_docker_client): + """Verify mock fixtures are properly configured.""" + assert mock_request.method == "GET" + assert mock_response.status_code == 200 + assert hasattr(mock_docker_client, "containers") + + def test_file_fixtures(self, sample_image_path, sample_model_path): + """Verify file fixtures create actual files.""" + assert sample_image_path.exists() + assert sample_image_path.suffix == ".jpg" + + assert sample_model_path.exists() + assert sample_model_path.suffix == ".h5" + + def test_coverage_configuration(self): + """Verify coverage is properly configured.""" + pyproject_path = Path("/workspace/pyproject.toml") + content = pyproject_path.read_text() + + assert "--cov=docker_sdk_api" in content + assert "--cov=inference_api" in content + assert "--cov=training_api" in content + assert "--cov-fail-under=80" in content + + def test_scripts_configured(self): + """Verify poetry scripts are configured.""" + pyproject_path = Path("/workspace/pyproject.toml") + content = pyproject_path.read_text() + + assert "[tool.poetry.scripts]" in content + assert 'test = "pytest:main"' in content + assert 'tests = "pytest:main"' in content \ No newline at end of file diff --git a/tests/unit/__init__.py b/tests/unit/__init__.py new file mode 100644 index 0000000..e69de29