Create Documentation on Unit Testing ZenML Steps

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What happened?

Currently, there is no dedicated documentation on how to perform unit tests on ZenML steps. This is a crucial aspect of developing reliable and maintainable data pipelines. Providing clear guidelines and examples can significantly help users in implementing effective testing practices.

Task Description

Develop a comprehensive documentation page or guide on how to perform unit tests on ZenML steps. The documentation should include tips, best practices, and examples. The test steps directory of FuzzyLabs' MindGPT project can be used as a reference model to showcase practical implementations of unit tests in ZenML.

Expected Outcome

• A detailed documentation page or section dedicated to unit testing ZenML steps. The 'pipelining features' section would probably be the most logical location for this page to live.
• Update the table of contents to include the new documentation page
• Inclusion of examples and best practices, with FuzzyLabs' approach serving as a key reference.
• The documentation should be accessible and understandable for users at different levels of expertise with testing.

Steps to Implement

• Research and compile best practices for unit testing in the context of ZenML steps.
• Review the FuzzyLabs' MindGPT project's approach to testing ZenML steps for insights and practical examples.
• Write a comprehensive guide that includes step-by-step instructions, code examples, and explanations.
• Ensure that the documentation covers various scenarios and common challenges in unit testing ZenML steps.
• Review and edit the documentation for clarity, accuracy, and ease of understanding.
• Publish the guide in an appropriate section of the ZenML documentation.

Additional Context

This documentation will be a valuable resource for ZenML users, helping to ensure the quality and reliability of their data pipelines. It will also foster best practices in testing within the ZenML community.

Code of Conduct

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