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os +import tempfile +import shutil +from pathlib import Path +from typing import Generator, Dict, Any + +import pytest +import pandas as pd +import numpy as np + + +@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) + + +@pytest.fixture +def sample_dataframe() -> pd.DataFrame: + """Create a sample DataFrame for testing.""" + return pd.DataFrame({ + 'user_id': [1, 2, 3, 4, 5], + 'item_id': [100, 200, 300, 400, 500], + 'rating': [5.0, 4.0, 3.0, 2.0, 1.0], + 'timestamp': pd.date_range('2023-01-01', periods=5, freq='D') + }) + + +@pytest.fixture +def sample_numpy_array() -> np.ndarray: + """Create a sample numpy array for testing.""" + return np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) + + +@pytest.fixture +def mock_config() -> Dict[str, Any]: + """Create a mock configuration dictionary.""" + return { + 'input_path': '/path/to/input', + 'output_path': '/path/to/output', + 'separator': ',', + 'encoding': 'utf-8', + 'chunk_size': 1000, + 'verbose': True + } + + +@pytest.fixture +def sample_csv_file(temp_dir: Path) -> Path: + """Create a sample CSV file for testing.""" + csv_path = temp_dir / 'sample.csv' + df = pd.DataFrame({ + 'col1': [1, 2, 3], + 'col2': ['a', 'b', 'c'], + 'col3': [1.1, 2.2, 3.3] + }) + df.to_csv(csv_path, index=False) + return csv_path + + +@pytest.fixture +def sample_json_file(temp_dir: Path) -> Path: + """Create a sample JSON file for testing.""" + import json + json_path = temp_dir / 'sample.json' + data = { + 'users': [ + {'id': 1, 'name': 'User1'}, + {'id': 2, 'name': 'User2'} + ], + 'items': [ + {'id': 100, 'title': 'Item1'}, + {'id': 200, 'title': 'Item2'} + ] + } + with open(json_path, 'w') as f: + json.dump(data, f) + return json_path + + +@pytest.fixture +def mock_dataset_files(temp_dir: Path) -> Dict[str, Path]: + """Create mock dataset files for testing conversion tools.""" + files = {} + + # Create inter file + inter_path = temp_dir / 'dataset.inter' + with open(inter_path, 'w') as f: + f.write("user_id\titem_id\trating\ttimestamp\n") + f.write("1\t100\t5.0\t1234567890\n") + f.write("2\t200\t4.0\t1234567891\n") + files['inter'] = inter_path + + # Create user file + user_path = temp_dir / 'dataset.user' + with open(user_path, 'w') as f: + f.write("user_id\tage\tgender\n") + f.write("1\t25\tM\n") + f.write("2\t30\tF\n") + files['user'] = user_path + + # Create item file + item_path = temp_dir / 'dataset.item' + with open(item_path, 'w') as f: + f.write("item_id\ttitle\tcategory\n") + f.write("100\tItem A\tCategory 1\n") + f.write("200\tItem B\tCategory 2\n") + files['item'] = item_path + + return files + + +@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 capture_logs(): + """Capture log messages during tests.""" + import logging + from io import StringIO + + log_capture = StringIO() + handler = logging.StreamHandler(log_capture) + handler.setLevel(logging.DEBUG) + formatter = logging.Formatter('%(levelname)s - %(message)s') + handler.setFormatter(formatter) + + logger = logging.getLogger() + logger.addHandler(handler) + logger.setLevel(logging.DEBUG) + + yield log_capture + + logger.removeHandler(handler) + + +def pytest_configure(config): + """Configure pytest with custom settings.""" + config.addinivalue_line( + "markers", "unit: mark test as a unit test" + ) + config.addinivalue_line( + "markers", "integration: mark test as an integration test" + ) + config.addinivalue_line( + "markers", "slow: mark test as slow running" + ) \ 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_setup_validation.py b/tests/test_setup_validation.py new file mode 100644 index 0000000..feb922d --- /dev/null +++ b/tests/test_setup_validation.py @@ -0,0 +1,125 @@ +"""Validation tests to ensure testing infrastructure is properly configured.""" +import pytest +import tempfile +from pathlib import Path +import pandas as pd +import numpy as np + + +class TestInfrastructureSetup: + """Test class to validate the testing infrastructure.""" + + @pytest.mark.unit + def test_pytest_is_working(self): + """Verify that pytest is installed and working.""" + assert True + + @pytest.mark.unit + def test_fixtures_are_available(self, temp_dir, sample_dataframe, mock_config): + """Verify that fixtures from conftest.py are accessible.""" + assert isinstance(temp_dir, Path) + assert temp_dir.exists() + + assert isinstance(sample_dataframe, pd.DataFrame) + assert len(sample_dataframe) == 5 + + assert isinstance(mock_config, dict) + assert 'input_path' in mock_config + + @pytest.mark.unit + def test_markers_are_registered(self): + """Verify that custom markers are properly registered.""" + # This test itself uses the unit marker + assert hasattr(self.test_markers_are_registered, 'pytestmark') + + @pytest.mark.integration + def test_file_operations(self, temp_dir): + """Test that file operations work in temporary directory.""" + test_file = temp_dir / 'test.txt' + test_file.write_text('Hello, testing!') + + assert test_file.exists() + assert test_file.read_text() == 'Hello, testing!' + + @pytest.mark.unit + def test_numpy_operations(self, sample_numpy_array): + """Verify numpy is available and working.""" + assert isinstance(sample_numpy_array, np.ndarray) + assert sample_numpy_array.shape == (3, 3) + assert np.sum(sample_numpy_array) == 45 + + @pytest.mark.unit + def test_pandas_operations(self, sample_dataframe): + """Verify pandas is available and working.""" + assert 'user_id' in sample_dataframe.columns + assert sample_dataframe['rating'].mean() == 3.0 + + @pytest.mark.slow + def test_slow_marker(self): + """Test that can be marked as slow.""" + import time + # Simulate a slow operation + time.sleep(0.1) + assert True + + @pytest.mark.unit + def test_mock_capabilities(self, mocker): + """Verify pytest-mock is working.""" + mock_func = mocker.Mock(return_value=42) + assert mock_func() == 42 + mock_func.assert_called_once() + + @pytest.mark.integration + def test_csv_file_fixture(self, sample_csv_file): + """Test the CSV file fixture.""" + assert sample_csv_file.exists() + df = pd.read_csv(sample_csv_file) + assert len(df) == 3 + assert list(df.columns) == ['col1', 'col2', 'col3'] + + @pytest.mark.integration + def test_json_file_fixture(self, sample_json_file): + """Test the JSON file fixture.""" + import json + assert sample_json_file.exists() + with open(sample_json_file) as f: + data = json.load(f) + assert 'users' in data + assert 'items' in data + + @pytest.mark.integration + def test_mock_dataset_files(self, mock_dataset_files): + """Test the mock dataset files fixture.""" + assert 'inter' in mock_dataset_files + assert 'user' in mock_dataset_files + assert 'item' in mock_dataset_files + + for file_type, file_path in mock_dataset_files.items(): + assert file_path.exists() + assert file_path.stat().st_size > 0 + + +class TestCoverageConfiguration: + """Tests to verify coverage configuration.""" + + @pytest.mark.unit + def test_this_file_is_covered(self): + """Ensure this test file contributes to coverage.""" + x = 1 + 1 + assert x == 2 + + @pytest.mark.unit + def test_coverage_excludes_work(self): + """Test that coverage exclusion patterns work.""" + # This should be covered + result = 10 * 2 + assert result == 20 + + # The following would be excluded by coverage + if 0: # pragma: no cover + raise AssertionError("This should never run") + + +def test_module_level_test(): + """Test that module-level tests are discovered.""" + assert 2 + 2 == 4 \ 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