pytest-mark-ac 1.0.0

Provides a marker to reference acceptance criteria from PyTest tests through annotations

pytest-mark-ac

A pytest plugin that provides a marker to reference acceptance criteria from tests through annotations. This plugin modifies test node IDs to include acceptance criteria references, enabling traceability between tests and user stories/acceptance criteria.

Installation

From Source

# Clone the repository
git clone <repository-url>
cd pytest-mark-test

# Install in development mode
pip install -e .

# Or build and install
pip install .

From PyPI (when published)

pip install pytest-mark-ac

Usage

The plugin automatically registers when installed. Use the @pytest.mark.ac decorator to annotate tests with acceptance criteria references.

Basic Syntax

@pytest.mark.ac(story_id, criteria_ids, ref_prefix="ac", ref_suffix="")

Parameters:

• story_id (int): The user story ID
• criteria_ids (Sequence[int]): List of acceptance criterion IDs
• ref_prefix (str, optional): Prefix for the reference (default: "ac")
• ref_suffix (str, optional): Suffix for the reference (default: "")

Effect: Appends __<ref_prefix><story_id>_<criterion_id><ref_suffix> to the test node ID

Use Cases and Examples

Use Case 1: Simple Function Test

Link a single test to multiple acceptance criteria:

import pytest

@pytest.mark.ac(1, [1, 2, 3])
def test_user_login():
    # Test implementation
    assert True

Result: Test node ID becomes test_file.py::test_user_login__ac1_1__ac1_2__ac1_3

Note range can be used for sequential ACs as well:

import pytest

@pytest.mark.ac(1, *range(1, 4))
def test_user_login():
    # Test implementation
    assert True

also becomes test_file.py::test_user_login__ac1_1__ac1_2__ac1_3

Use Case 2: Parametrized Tests with Different Criteria

Apply different acceptance criteria to individual parametrized test cases:

from contextlib import nullcontext

@pytest.mark.ac(1, [1])  # Applies to all test cases
@pytest.mark.parametrize(
    'a,b,expected',
    [
        pytest.param(4, 2, nullcontext(2), marks=pytest.mark.ac(2, [1])),
        pytest.param(5, 1, nullcontext(5), marks=pytest.mark.ac(2, [1, 2])),
        pytest.param(3, 2, nullcontext(1.5), marks=pytest.mark.ac(2, [3])),
        pytest.param(3, 0, pytest.raises(ZeroDivisionError), marks=pytest.mark.ac(2, [4])),
    ],
)
def test_division(a, b, expected):
    with expected as exp_result:
        assert (a / b) == exp_result

Result:

• test_division[4-2-expected0]__ac1_1__ac2_1
• test_division[5-1-expected1]__ac1_1__ac2_1__ac2_2
• test_division[3-2-expected2]__ac1_1__ac2_3
• test_division[3-0-expected3]__ac1_1__ac2_4

Use Case 3: Custom Reference Format

Customize the reference format for your organization's conventions:

@pytest.mark.ac(123, [5, 6], ref_prefix="AC", ref_suffix="_v1")
def test_feature():
    assert True

Result: Test node ID becomes test_file.py::test_feature__AC123_5_v1__AC123_6_v1

Use Case 4: Testing Edge Cases with Acceptance Criteria

@pytest.mark.parametrize(
    'value,expected',
    [
        pytest.param(0, True, marks=pytest.mark.ac(5, [1])),  # Zero case
        pytest.param(-1, True, marks=pytest.mark.ac(5, [2])),  # Negative case
        pytest.param(100, False, marks=pytest.mark.ac(5, [3])),  # Boundary case
    ],
)
def test_validation(value, expected):
    assert validate(value) == expected

Use Case 5: Multiple Stories on One Test

A test can verify acceptance criteria from multiple user stories:

@pytest.mark.ac(10, [1, 2])  # Story 10, criteria 1-2
@pytest.mark.ac(11, [3])     # Story 11, criterion 3
def test_integrated_feature():
    # Tests functionality spanning multiple stories
    assert True

Result: test_file.py::test_integrated_feature__ac10_1__ac10_2__ac11_3

Running Tests with Acceptance Criteria

# Run all tests (shows modified node IDs)
pytest -v

# Run tests for specific acceptance criterion
pytest -v -k "ac1_1"

# Run tests for specific story
pytest -v -k "ac5"

# Show test collection without running
pytest --collect-only

Benefits

• Traceability: Direct link between tests and acceptance criteria
• Test Reports: Node IDs in reports show which criteria are covered
• Selective Execution: Run tests by acceptance criteria using -k flag
• Documentation: Tests serve as executable documentation of acceptance criteria
• Duplicate Prevention: Automatically removes duplicate criteria references

Requirements

• Python >= 3.11
• pytest >= 9.0.0

License

MIT