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python-pytest-patterns

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Python pytest Patterns

Modern pytest patterns for effective testing.

Basic Test Structure

import pytest

def test_basic():
    """Simple assertion test."""
    assert 1 + 1 == 2

def test_with_description():
    """Descriptive name and docstring."""
    result = calculate_total([1, 2, 3])
    assert result == 6, "Sum should equal 6"

Fixtures

import pytest

@pytest.fixture
def sample_user():
    """Create test user."""
    return {"id": 1, "name": "Test User"}

@pytest.fixture
def db_connection():
    """Fixture with setup and teardown."""
    conn = create_connection()
    yield conn
    conn.close()

def test_user(sample_user):
    """Fixtures injected by name."""
    assert sample_user["name"] == "Test User"

Fixture Scopes

@pytest.fixture(scope="function")  # Default - per test
@pytest.fixture(scope="class")     # Per test class
@pytest.fixture(scope="module")    # Per test file
@pytest.fixture(scope="session")   # Entire test run

Parametrize

@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("x", [1, 2])
@pytest.mark.parametrize("y", [10, 20])
def test_multiply(x, y):  # 4 test combinations
    assert x * y > 0

Exception Testing

def test_raises():
    with pytest.raises(ValueError) as exc_info:
        raise ValueError("Invalid input")
    assert "Invalid" in str(exc_info.value)

def test_raises_match():
    with pytest.raises(ValueError, match=r".*[Ii]nvalid.*"):
        raise ValueError("Invalid input")

Markers

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

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

@pytest.mark.xfail(reason="Known bug")
def test_buggy():
    assert broken_function() == expected

@pytest.mark.slow
def test_performance():
    """Custom marker - register in pytest.ini."""
    pass

Mocking

from unittest.mock import Mock, patch, MagicMock

def test_with_mock():
    mock_api = Mock()
    mock_api.get.return_value = {"status": "ok"}
    result = mock_api.get("/endpoint")
    assert result["status"] == "ok"

@patch("module.external_api")
def test_with_patch(mock_api):
    mock_api.return_value = {"data": []}
    result = function_using_api()
    mock_api.assert_called_once()

pytest-mock (Recommended)

def test_with_mocker(mocker):
    mock_api = mocker.patch("module.api_call")
    mock_api.return_value = {"success": True}
    result = process_data()
    assert result["success"]

conftest.py

# tests/conftest.py - Shared fixtures

import pytest

@pytest.fixture(scope="session")
def app():
    """Application fixture available to all tests."""
    return create_app(testing=True)

@pytest.fixture
def client(app):
    """Test client fixture."""
    return app.test_client()

Quick Reference

CommandDescription
pytestRun all tests
pytest -vVerbose output
pytest -xStop on first failure
pytest -k "test_name"Run matching tests
pytest -m slowRun marked tests
pytest --lfRerun last failed
pytest --cov=srcCoverage report
pytest -n autoParallel (pytest-xdist)

Additional Resources

  • ./references/fixtures-advanced.md - Factory fixtures, autouse, conftest patterns
  • ./references/mocking-patterns.md - Mock, patch, MagicMock, side_effect
  • ./references/async-testing.md - pytest-asyncio patterns
  • ./references/coverage-strategies.md - pytest-cov, branch coverage, reports
  • ./references/integration-testing.md - Database fixtures, API testing, testcontainers
  • ./references/property-testing.md - Hypothesis framework, strategies, shrinking
  • ./references/test-architecture.md - Test pyramid, organization, isolation strategies

Scripts

  • ./scripts/run-tests.sh - Run tests with recommended options
  • ./scripts/generate-conftest.sh - Generate conftest.py boilerplate

Assets

  • ./assets/pytest.ini.template - Recommended pytest configuration
  • ./assets/conftest.py.template - Common fixture patterns

See Also

Related Skills:

  • python-typing-patterns - Type-safe test code
  • python-async-patterns - Async test patterns (pytest-asyncio)

Testing specific frameworks:

  • python-fastapi-patterns - TestClient, API testing
  • python-database-patterns - Database fixtures, transactions

Source

git clone https://github.com/aiskillstore/marketplace/blob/main/skills/0xdarkmatter/python-pytest-patterns/SKILL.mdView on GitHub

Overview

This skill covers modern pytest patterns for effective Python testing, including fixtures, parametrization, mocking, and conftest usage. It helps you write cleaner, scalable tests, improve test coverage, and detect defects early.

How This Skill Works

It demonstrates practical templates: define fixtures with scoped lifetimes, parameterize tests to cover multiple inputs, and use pytest.raises for exception checks. Tests can be organized with conftest.py for shared setup and with markers or mocks to isolate behavior.

When to Use It

  • When building robust unit tests with shared setup via fixtures
  • When testing multiple input combinations via parametrization
  • When validating that code raises specific exceptions
  • When organizing tests with shared setup in conftest.py and fixture scopes
  • When isolating dependencies using mocks or the pytest-mock integration

Quick Start

  1. Step 1: Create a test file with simple assertions (e.g., test_basic).
  2. Step 2: Add fixtures using @pytest.fixture and inject them into tests.
  3. Step 3: Run pytest, and iterate with parametrize, raises, and mocks as needed.

Best Practices

  • Prefer fixtures over in-test setup and choose the appropriate scope (function, class, module, session)
  • Parameterize tests instead of duplicating test logic for multiple inputs
  • Use pytest.raises to assert exception type and message
  • Leverage markers (skip, skipif, xfail, slow) to control test execution
  • Keep tests fast, deterministic, and well-documented with descriptive names and docstrings

Example Use Cases

  • Basic tests with simple assertions (test_basic, test_with_description)
  • Fixtures injected by name (test_user with sample_user fixture)
  • Parametrize usage (test_double and test_multiply)
  • Exception testing with pytest.raises (test_raises, test_raises_match)
  • Mocking external dependencies (test_with_mock, test_with_patch and pytest-mock example)

Frequently Asked Questions

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