Maverick Python Testing

Python Testing Skill

Expert guidance for Python testing with pytest, unittest, fixtures, and mocking patterns.

Pytest Best Practices

Test Structure

• Name tests test_*.py or *_test.py
• Use fixtures for test setup (avoid setUp/tearDown)
• Group related tests in classes (optional, for organization)
• One assertion per test (or closely related assertions)

Example:

import pytest

@pytest.fixture
def sample_data():
    """Fixture providing test data."""
    return {"key": "value"}

def test_function_with_fixture(sample_data):
    """Test using fixture data."""
    result = process(sample_data)
    assert result == expected_value

Fixtures

Scope Levels:

• function (default) - Per test function
• class - Per test class
• module - Per test module
• session - Per test session

Example:

@pytest.fixture(scope="module")
def database():
    """Module-scoped database fixture."""
    db = Database()
    db.connect()
    yield db
    db.disconnect()

@pytest.fixture
def user(database):
    """Function-scoped user (depends on database)."""
    user = database.create_user("test@example.com")
    yield user
    database.delete_user(user.id)

Parametrize for Multiple Cases

Single Parameter:

@pytest.mark.parametrize("input,expected", [
    (1, 2),
    (2, 4),
    (3, 6),
])
def test_double(input, expected):
    assert double(input) == expected

Multiple Parameters:

@pytest.mark.parametrize("username", ["alice", "bob"])
@pytest.mark.parametrize("role", ["admin", "user"])
def test_permissions(username, role):
    """Runs 4 tests (2x2 combinations)."""
    user = User(username, role)
    assert user.has_role(role)

Async Tests

import pytest

@pytest.mark.asyncio
async def test_async_function():
    result = await async_operation()
    assert result == expected

Mocking Patterns

unittest.mock

Patch Decorator:

from unittest.mock import patch, MagicMock

@patch('module.external_api_call')
def test_with_mock(mock_api):
    mock_api.return_value = {"status": "ok"}

    result = function_that_calls_api()

    mock_api.assert_called_once_with(expected_args)
    assert result == expected

Patch Context Manager:

def test_with_context_manager():
    with patch('module.function') as mock_func:
        mock_func.return_value = 42
        assert call_function() == 42

Mock Attributes:

mock = MagicMock()
mock.method.return_value = "result"
mock.attribute = "value"

# Assertions
mock.method.assert_called()
mock.method.assert_called_with(arg1, arg2)
mock.method.assert_called_once()
assert mock.method.call_count == 3

Common Mocking Mistakes

WRONG - Patching in wrong place:

# File: myapp/module.py
from external import api_call

def my_function():
    return api_call()

# File: tests/test_module.py
# WRONG - patches external.api_call, not myapp.module.api_call
@patch('external.api_call')
def test_wrong(mock_api):
    my_function()  # Doesn't use the mock!

CORRECT:

# CORRECT - patch where it's used, not where it's defined
@patch('myapp.module.api_call')
def test_correct(mock_api):
    my_function()  # Uses the mock

Test Coverage

Aim for Meaningful Coverage

• Target: >80% coverage for critical code
• Test edge cases (empty lists, None, zero, negative numbers)
• Test error conditions (exceptions, invalid input)
• Don't test framework code or trivial getters/setters

Run Coverage

pytest --cov=myapp --cov-report=html tests/

Coverage Configuration

# pytest.ini or pyproject.toml
[tool.pytest.ini_options]
testpaths = ["tests"]
python_files = ["test_*.py", "*_test.py"]
python_classes = ["Test*"]
python_functions = ["test_*"]
addopts = "--cov=src --cov-report=term-missing"

Test Organization

Directory Structure

project/
├── src/
│   └── myapp/
│       ├── __init__.py
│       └── module.py
└── tests/
    ├── conftest.py           # Shared fixtures
    ├── unit/
    │   └── test_module.py
    └── integration/
        └── test_workflow.py

conftest.py for Shared Fixtures

# tests/conftest.py
import pytest

@pytest.fixture(scope="session")
def app_config():
    """Application configuration for all tests."""
    return {"debug": True, "db": ":memory:"}

@pytest.fixture
def temp_file(tmp_path):
    """Create a temporary file for testing."""
    file = tmp_path / "test.txt"
    file.write_text("test content")
    return file

Common Testing Patterns

Testing Exceptions

import pytest

def test_raises_exception():
    with pytest.raises(ValueError, match="invalid input"):
        function_that_raises("bad")

Testing Warnings

import warnings
import pytest

def test_warning():
    with pytest.warns(DeprecationWarning):
        legacy_function()

Testing Async Generators

@pytest.mark.asyncio
async def test_async_generator():
    gen = async_generator()
    items = [item async for item in gen]
    assert len(items) == 3

Testing with Temporary Files

def test_file_processing(tmp_path):
    """pytest provides tmp_path fixture."""
    test_file = tmp_path / "input.txt"
    test_file.write_text("test data")

    process_file(test_file)

    output = (tmp_path / "output.txt").read_text()
    assert output == "processed: test data"

Markers for Test Organization

import pytest

@pytest.mark.slow
def test_slow_operation():
    """Mark slow tests to skip in quick runs."""
    pass

@pytest.mark.integration
def test_database_integration():
    """Mark integration tests separately."""
    pass

@pytest.mark.skip(reason="Not implemented yet")
def test_future_feature():
    pass

@pytest.mark.skipif(sys.platform == "win32", reason="Unix only")
def test_unix_specific():
    pass

@pytest.mark.xfail(reason="Known bug #123")
def test_known_issue():
    pass

Run specific markers:

pytest -m "not slow"           # Skip slow tests
pytest -m integration          # Only integration tests

Antipatterns to Avoid

❌ Testing Implementation Details

# BAD - tests internal implementation
def test_cache_uses_dict():
    cache = Cache()
    assert isinstance(cache._storage, dict)

# GOOD - tests behavior
def test_cache_retrieval():
    cache = Cache()
    cache.set("key", "value")
    assert cache.get("key") == "value"

❌ Unclear Test Names

# BAD
def test_user():
    pass

# GOOD
def test_user_creation_with_valid_email():
    pass

❌ Multiple Unrelated Assertions

# BAD - tests multiple unrelated things
def test_everything():
    assert func1() == 1
    assert func2() == 2
    assert func3() == 3

# GOOD - separate tests
def test_func1_returns_one():
    assert func1() == 1

def test_func2_returns_two():
    assert func2() == 2

❌ Test Interdependencies

# BAD - tests depend on execution order
def test_create_user():
    global user_id
    user_id = create_user("alice")

def test_get_user():
    user = get_user(user_id)  # Depends on previous test!

# GOOD - use fixtures for setup
@pytest.fixture
def user_id():
    return create_user("alice")

def test_get_user(user_id):
    user = get_user(user_id)

Review Severity Guidelines

• CRITICAL: No tests for new code, tests disabled/skipped without justification
• MAJOR: Missing edge case tests, testing implementation details, test interdependencies
• MINOR: Missing docstrings on tests, inconsistent naming
• SUGGESTION: Could use parametrize for similar tests, opportunity for shared fixture

References

• Pytest Documentation
• unittest.mock
• pytest-asyncio

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