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Learn how to effectively run Python tests using nvim-dap in LunarVim, including setting up your project and debugging capabilities.
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Running a Single Python Test with nvim-dap in LunarVim

Debugging Python code can often be a challenging task, especially when it comes to running specific tests within your code. For users of LunarVim and nvim-dap, the need arises to run a single Python test seamlessly while utilizing debugging features. This guide will guide you step-by-step on how to configure nvim-dap to run individual tests, and how to tailor it for projects like Django.

Setting Up nvim-dap for Python Testing

Initial Configuration

First off, ensure you have the following code snippet integrated into your configuration for nvim-dap. It sets up the Python adapter and the basic debugging options:

[[See Video to Reveal this Text or Code Snippet]]

This setup defines how nvim-dap interacts with the Python debugging tools and specifies the Python interpreter location.

Adding Python Test Configuration

To run a specific Python test using pytest, you’ll need to modify the configuration to include a dedicated setting for running test cases. Add the following configuration to your nvim-dap settings:

[[See Video to Reveal this Text or Code Snippet]]

Breaking Down the Configuration

name: A friendly name for the configuration (in this case, "Pytest: Current File").

type: Specifies that we are working with Python.

request: Indicates that we wish to launch an application.

module: Uses pytest to run the test cases.

args: The command-line arguments passed to pytest. Here, you can:

Use ${file} to refer to the currently open file.

Add flags like -sv for verbose output and logging options.

console: Defines that the output should be shown in the integrated terminal.

Utilizing Debugging Features

Once your configuration is set up, you can set breakpoints and execute your tests. A few key commands in LunarVim can enhance your debugging experience:

<leader>dh: Toggle Breakpoint

<leader>dn: Continue Execution

<leader>di: Hover function to inspect variables

<leader>ds: Stop the debugging session

Working with Django Projects

If you want to run tests for a Django project specifically, ensure that the manage.py is targeted in your test command. For such cases, adapt your configuration as follows:

[[See Video to Reveal this Text or Code Snippet]]

Replace the arguments in the args section accordingly to suit your Django project’s requirements.

Conclusion

With these configurations in place, you can now easily run individual Python tests and leverage the powerful debugging capabilities of nvim-dap in your LunarVim environment. Whether it’s a project using standard Python scripts or a complex framework like Django, you have the tools necessary to debug effectively.

Happy coding and debugging!