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Learn how to effectively manage imports in scripts packaged with Poetry and installed via pip, ensuring smooth functionality and access to all necessary modules.
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How to Ensure Scripts Installed with pip Can Access Imports from pyproject.toml

When working with Python, packaging scripts for distribution can sometimes present challenges—especially when it comes to imports. This guide addresses a common issue encountered by developers using Poetry for project management.

The Problem: ModuleNotFoundError After Installation

Imagine you've created a Python script within a folder structure and defined your packages in a pyproject.toml file using Poetry. However, after installing your package via pip, you encounter a ModuleNotFoundError. This can be particularly frustrating as it slows down your learning and productivity.

Example Scenario

Let's consider a simple setup to illustrate this issue:

You have the following project structure:

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

Your pyproject.toml file might look like this:

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

Inside scripttest.py, you have:

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

And your importantimport.py simply contains:

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

You notice that when you run python src/scripttest.py, everything works perfectly. However, after you install it using pip install ., executing the scripttest command results in:

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

This leads to the question: How can you ensure that your imports function correctly after installation?

The Solution: Adjusting Your Import Statements

The key to resolving this issue lies in how you refer to your imported modules in your scripts. Instead of:

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

You should change your import statement to:

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

Why This Works

Package Structure: When you package your scripts with Poetry, they are treated as part of your library. Thus, any modules or sub-packages should be referenced with respect to the package name.

Namespace: By specifying the package, Python's import system can locate importantimport.py correctly within the installed structure (~/.local/lib/python3.10/site-packages/src).

Next Steps

Update Your Script: Change your import in scripttest.py as discussed.

Reinstall Your Package: After making these changes, run pip install . again to reinstall your package.

Test Your Script: Try running your script through the command line again to ensure that it outputs correctly without any import errors.

Conclusion

Packaging Python scripts can sometimes have its complexities, but with the right adjustments, you can ensure that everything functions as intended. Adjusting your import statements to reflect your package structure is crucial in preventing ModuleNotFoundError after installation via pip.

By following the steps outlined in this post, you should be able to package your Python code effectively and worry less about imports!

Feel free to reach out in the comments if you have any further questions or need assistance with packaging your Python projects!