Clean Python Import Statements for Improved IntelliSense Suggestions

Discover how to `clean Python import statements` and reduce intellisense duplicate suggestions in your REST API wrapper.
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This video is based on the question https://stackoverflow.com/q/72235295/ asked by the user 'Niels Perfors' ( https://stackoverflow.com/u/4216862/ ) and on the answer https://stackoverflow.com/a/72246347/ provided by the user 'radekholy24' ( https://stackoverflow.com/u/542196/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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Clean Python Import Statements for Improved IntelliSense Suggestions

Creating a well-structured Python package is crucial for enhancing the user experience of your REST API wrapper. If you’ve ever run into issues with too many duplicates appearing in IntelliSense during imports, you're not alone. This guide will walk you through how to clean up your Python import statements to achieve a more streamlined developer experience.

The Problem with Duplicates in IntelliSense

When you import modules in Python, particularly when they contain classes, you may find that IntelliSense suggests both the modules and the class names. For example, in the structure of your package, using:

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could lead to a cluttered list of suggestions that includes:

contracts

Contracts

credits

Credits

payments

Payments

users

Users

This excessive duplication can diminish clarity and create confusion for users of your package, as they are presented with too many similar options. So how do we simplify this?

A Structured Approach to Clean Imports

To achieve a cleaner and more user-friendly import structure, we need to rethink how we organize our package. Here's an effective strategy:

1. Reorganizing Package Structure

Modify your package structure by introducing an intermediary api directory to hold your endpoints, as shown below:

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2. Updating the endpoints/__init__.py file

You can clear out the __init__.py within the endpoints directory. Leave it empty to avoid inflating the suggestions that users see. This file would no longer be responsible for importing module names directly.

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3. Creating a Centralized endpoints.py file

Now, move your class imports into a new file called endpoints.py within the api package. Here’s how this would look:

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

4. Simplified Imports with Clean Options

Now that your classes are organized within the api package, users can cleanly import the classes they need without the distraction of duplicate names:

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

Final Thoughts

Moving your API endpoints to a separate package cleans up the import process significantly. Remember, the goal is to create an intuitive experience for users of your package. Always consider how your package's structure affects the IntelliSense suggestions they see.

While the structure you choose can vary, ensuring that unnecessary duplicates are minimized will lead to a better developer experience. Proper organization and documentation can guide your users effectively without relying heavily on IntelliSense.

If this approach doesn’t suit your needs, remember that there are plenty of other structural options available. The key is to keep the interface clean and the context clear.

By following these steps, you not only enhance performance but also promote effective use of your package.
Have you encountered similar issues in your projects? Share your experiences and solutions below!

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