Скачать или смотреть How to Run a Python Wheel from CLI: A Step-by-Step Guide to Execute Your Wheel like a Script

Learn how to effectively run a Python wheel from the command line interface (CLI) as if it were a single script. This guide will break down the necessary steps to ensure that your `__main__` method executes correctly.
---
This video is based on the question https://stackoverflow.com/q/66879947/ asked by the user 'Simon Norton' ( https://stackoverflow.com/u/7949487/ ) and on the answer https://stackoverflow.com/a/66994424/ provided by the user 'Simon Norton' ( https://stackoverflow.com/u/7949487/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Run a python wheel from CLI as if it were a single script

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
---
How to Run a Python Wheel from CLI: A Step-by-Step Guide to Execute Your Wheel like a Script

If you're working with Python packages, you may want to package your code into a wheel format. This is especially useful in environments like Azure Databricks where you can submit jobs in a structured way. However, you might encounter challenges when trying to run your wheel file from the command line interface (CLI) and ensuring that the _main_ method gets executed.

In this guide, we'll explore how to properly set up and run a Python wheel so that your main method functions as intended.

Understanding the Problem

When attempting to run a wheel file directly from the CLI, you might face issues, such as errors indicating that the _main_ module cannot be found. This typically stems from not correctly structuring your command, or from not having the necessary configuration in your Python package.

For example, you might try commands like:

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

Yet, you find yourself encountering errors stating that Python can't locate the _main_ module.

Creating a Python Package with a Wheel

To successfully create and run a Python wheel, follow these structured steps:

Step 1: Set Up Your Package Structure

You should have a directory structure that looks something like this:

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

In this structure, your __main__.py file should contain the following code to echo today's date:

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

Step 2: Configure Your setup.py File

Your setup.py file is crucial for defining how your package is built. An example configuration may look like this:

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

Step 3: Build Your Wheel

Build your wheel using the following command in the terminal:

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

This command will generate a wheel file in the dist directory.

Step 4: Run the Wheel from the CLI

Now, to execute your wheel correctly, you need to specify the folder that contains your __main__.py file. Use the command below, ensuring you reference the top-level folder of your package:

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

Important: This method relies on the presence of a __main__.py script within the folder you've designated (in this case, the folder is today).

Conclusion

By following these steps, you can effectively run your Python wheel as if it were a single script from the command line. Remember that the key to success lies in ensuring your directory structure is correct and that your setup.py is properly configured.

Now you're equipped to test and execute your Python packages easily in environments like Azure Databricks! If you have further questions or need clarification on specific steps, feel free to ask. Happy coding!