pytest-dynamic-parameterize 0.1.2

A Python package for managing pytest plugins.

pytest-dynamic-parameterize

A powerful pytest plugin for Python projects, enabling dynamic test parameterization using functions.
Easily generate test parameters at runtime from any function—supporting advanced, data-driven, or config-based testing workflows.

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🚀 Features

• ✅ Dynamic Parameterization: Generate test parameters dynamically by referencing a function.
  • Use the @pytest.mark.parametrize_func("function_name") marker on your test.
  • Supports both local and fully-qualified function names (e.g., my_func or my_module.my_func).
  • Enables:
    • Data-driven tests from config files, databases, or APIs
    • Centralized test data logic
    • Cleaner, more maintainable test code

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📦 Installation

pip install pytest-dynamic-parameterize

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🔧 Usage

1. Define a parameter function (must accept a config argument and return a list of tuples or values):

# parameterize_functions.dynamic_parameters.my_params.py
def my_params(config):
    # Example: generate parameters dynamically
    return [
        (1, 2, 3),
        (4, 5, 9),
    ]

2. Mark your test with @pytest.mark.parametrize_func:

import pytest
from parameterize_functions.dynamic_parameters import my_params

@pytest.mark.parametrize_func("my_params")
def test_add(a, b, expected):
    assert a + b == expected

• You can also use a fully-qualified function path:

  @pytest.mark.parametrize_func("parameterize_functions.dynamic_parameters.my_params")
  def test_add(a, b, expected):
      ...
  

• The function can be imported or defined in the same module.

• The function should return a list of argument tuples matching the test signature.

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🤝 Contributing

If you have improvements, ideas, or bugfixes:

• Fork the repo
  
• Create a new branch
  
• Submit a pull request
  I welcome additions that promote clean, productive, and maintainable development.
  

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🙏 Thanks

Thanks for exploring this repository!
Happy testing!