ExtendedMock Pytest Plugin

Welcome to the ExtendedMock Pytest Plugin! This plugin enhances Python's unittest.mock.MagicMock with additional functionality inspired by the setup and verification patterns found in popular .NET mocking libraries like Moq. If you've ever used Moq and loved its fluent API for configuring mock behavior, this plugin will feel like home.

What is ExtendedMock?

ExtendedMock is a drop-in replacement for unittest.mock.MagicMock that adds a setup method, allowing you to configure mock behavior for specific arguments. This makes it easier to write expressive and precise tests by defining exactly what your mock should return (or raise) when called with certain arguments.

Key Features:

• Fluent API: Configure mock behavior using a clean, chainable setup method.
• Argument-Specific Behavior: Define return values or exceptions for specific argument combinations.
• Seamless Integration: Works out of the box with pytest and replaces MagicMock automatically.
• Familiar to .NET Developers: If you've used Moq, you'll feel right at home with the setup method.

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Usage

find on pypi link

install

pip install pytest-extended-mock

Basic Example

Here's how you can use ExtendedMock in your tests:

from unittest.mock import MagicMock

def test_extended_mock():
    mock = MagicMock()
    
    # Configure the mock to return "Hello, World!" when called with ("foo", bar=42)
    mock.setup("foo", bar=42, return_value="Hello, World!")
    
    # Call the mock with the configured arguments
    result = mock("foo", bar=42)
    
    assert result == "Hello, World!"

Example with mocker.patch

def test_mocker_patch(mocker):
    mock = mocker.patch("your_path")

    mock.setup("foo", return_value="bar")

    result = mock("foo")

    assert result == "bar"

Raising Exceptions

You can also configure the mock to raise an exception for specific arguments:

def test_extended_mock_with_exception():
    mock = MagicMock()
    
    # Configure the mock to raise a ValueError when called with ("error",)
    mock.setup("error", return_value=ValueError("Something went wrong!"))
    
    # Call the mock with the configured arguments
    with pytest.raises(ValueError):
        mock("error")

Default Behavior

If the mock is called with arguments that don't match any configured setup, it falls back to the default MagicMock behavior:

def test_extended_mock_default_behavior():
    mock = MagicMock()
    
    # No setup configured, so it returns a new MagicMock instance
    result = mock("unconfigured", args=123)
    
    assert isinstance(result, MagicMock)

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Why Use ExtendedMock?

If you've ever found yourself writing repetitive code to configure MagicMock instances for different argument combinations, ExtendedMock is here to save the day. It provides a more expressive and concise way to define mock behavior, making your tests easier to read and maintain.

For .NET Developers

If you're coming from the .NET world and have used libraries like Moq, you'll find the setup method very familiar. It mirrors the Setup and Returns methods in Moq, allowing you to define mock behavior in a similar way. For example:

// Moq in .NET
var mock = new Mock<IService>();
mock.Setup(x => x.DoSomething("foo", 42)).Returns("Hello, World!");

# ExtendedMock in Python
mock = MagicMock()
mock.do_something.setup("foo", 42, return_value="Hello, World!")

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How It Works

The ExtendedMock class extends unittest.mock.MagicMock and adds a _setup_data dictionary to store configurations. When the mock is called, it checks if the arguments match any configured setup. If a match is found, it returns the configured value or raises the configured exception. If no match is found, it will return None. If there is no setup configured at all it falls back to the default MagicMock behavior.

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Contributing

We welcome contributions! If you have ideas for improvements or find a bug, please open an issue or submit a pull request on GitHub.

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License

This project is licensed under the MIT License.

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Keywords

• pytest
• mocking
• unittest
• MagicMock
• Moq
• .NET
• testing
• fluent API
• mock setup

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Happy testing! 🚀