89jobrien

tdd-pytest

Python/pytest TDD specialist for test-driven development workflows. Use

89jobrien 4 Updated 8mo ago
GitHub

Install

npx skillscat add 89jobrien/steve/tdd-pytest

Install via the SkillsCat registry.

About this skill

This skill facilitates test-driven development workflows for Python projects using pytest and uv. It assists in writing failing tests, implementing minimal code to pass, and refactoring for quality. Use this skill when you need to audit test files, manage pyproject.toml configurations, or generate test reports to ensure robust code through the red-green-refactor cycle.

SKILL.md

TDD-Pytest Skill

Activate this skill when the user needs help with:

  • Writing tests using TDD methodology (Red-Green-Refactor)
  • Auditing existing pytest test files for quality
  • Running tests with coverage
  • Generating test reports to TESTING_REPORT.local.md
  • Setting up pytest configuration in pyproject.toml

TDD Workflow

Red-Green-Refactor Cycle

  1. RED - Write a failing test first

    • Test should fail for the right reason (not import errors)
    • Test should be minimal and focused
    • Show the failing test output
  2. GREEN - Write minimal code to pass

    • Only implement what's needed to pass the test
    • No premature optimization
    • Show the passing test output
  3. REFACTOR - Improve code while keeping tests green

    • Clean up duplication
    • Improve naming
    • Extract functions/classes if needed
    • Run tests after each change

Test Organization

File Structure

project/
  src/
    module.py
  tests/
    conftest.py          # Shared fixtures
    test_module.py       # Tests for module.py
  pyproject.toml         # Pytest configuration

Naming Conventions

  • Test files: test_*.py or *_test.py
  • Test functions: test_*
  • Test classes: Test*
  • Fixtures: Descriptive names (mock_database, sample_user)

Pytest Best Practices

Fixtures

import pytest

@pytest.fixture
def sample_config():
    return {"key": "value"}

@pytest.fixture
def mock_client(mocker):
    return mocker.MagicMock()

Parametrization

@pytest.mark.parametrize("input,expected", [
    ("hello", "HELLO"),
    ("world", "WORLD"),
    ("", ""),
])
def test_uppercase(input, expected):
    assert input.upper() == expected

Async Tests

import pytest

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

Exception Testing

def test_raises_value_error():
    with pytest.raises(ValueError, match="invalid input"):
        process_input(None)

Running Tests

With uv

uv run pytest                              # Run all tests
uv run pytest tests/test_module.py         # Run specific file
uv run pytest -k "test_name"               # Run by name pattern
uv run pytest -v --tb=short                # Verbose with short traceback
uv run pytest --cov=src --cov-report=term  # With coverage

Common Flags

  • -v / --verbose - Detailed output
  • -x / --exitfirst - Stop on first failure
  • --tb=short - Short tracebacks
  • --tb=no - No tracebacks
  • -k EXPR - Run tests matching expression
  • -m MARKER - Run tests with marker
  • --cov=PATH - Coverage for path
  • --cov-report=term-missing - Show missing lines

pyproject.toml Configuration

Minimal Setup

[tool.pytest.ini_options]
asyncio_mode = "auto"
testpaths = ["tests"]

Full Configuration

[tool.pytest.ini_options]
asyncio_mode = "auto"
asyncio_default_fixture_loop_scope = "function"
testpaths = ["tests"]
python_files = ["test_*.py", "*_test.py"]
python_functions = ["test_*"]
python_classes = ["Test*"]
addopts = "-v --tb=short"
markers = [
    "slow: marks tests as slow",
    "integration: marks integration tests",
]
filterwarnings = [
    "ignore::DeprecationWarning",
]

[tool.coverage.run]
source = ["src"]
branch = true
omit = ["tests/*", "*/__init__.py"]

[tool.coverage.report]
exclude_lines = [
    "pragma: no cover",
    "if TYPE_CHECKING:",
    "raise NotImplementedError",
]
fail_under = 80
show_missing = true

Report Generation

The TESTING_REPORT.local.md file should contain:

  1. Test execution summary (passed/failed/skipped)
  2. Coverage metrics by module
  3. Audit findings by severity
  4. Recommendations with file:line references
  5. Evidence (command outputs)

Integration with Conversation

When the user asks to write tests:

  1. Check conversation history for context about what to test
  2. Identify the code/feature being discussed
  3. If unclear, ask clarifying questions:
    • "What specific behavior should I test?"
    • "Should I include edge cases for X?"
    • "Do you want unit tests, integration tests, or both?"
  4. Follow TDD: Write failing test first, then implement

Commands Available

  • /tdd-pytest:init - Initialize pytest configuration
  • /tdd-pytest:test [path] - Write tests using TDD (context-aware)
  • /tdd-pytest:test-all - Run all tests
  • /tdd-pytest:report - Generate/update TESTING_REPORT.local.md