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Скачать или смотреть Resolving the ModuleNotFoundError in Robot Framework: Importing Python Libraries Made Easy

  • vlogize
  • 2025-05-26
  • 14
Resolving the ModuleNotFoundError in Robot Framework: Importing Python Libraries Made Easy
Importing library failed: in robotframeworkpythonrobotframework
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Описание к видео Resolving the ModuleNotFoundError in Robot Framework: Importing Python Libraries Made Easy

Struggling with importing Python libraries in Robot Framework? Learn how to resolve the `ModuleNotFoundError` and ensure your scripts run smoothly with this easy-to-follow guide.
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This video is based on the question https://stackoverflow.com/q/67225091/ asked by the user 'Sadha Nanda' ( https://stackoverflow.com/u/6853384/ ) and on the answer https://stackoverflow.com/a/67225385/ provided by the user 'Jiri Janous' ( https://stackoverflow.com/u/13713938/ ) 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: Importing library failed: in robotframework

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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.

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Troubleshooting Library Imports in Robot Framework

Importing libraries in Robot Framework can sometimes feel like a daunting task, especially when faced with frustrating error messages. One common issue many developers encounter is the dreaded ModuleNotFoundError. If you're experiencing this problem while attempting to import a Python file into your Robot Framework project, you're not alone. In this guide, we'll walk through a typical scenario that triggers this error and provide a clear, structured solution to get your scripts working seamlessly.

The Problem: Importing a Python Library

Consider the following scenario: You have created a simple Python class named helloworld.py intended to be used as a library in your Robot Framework tests. Here’s what your Python file looks like:

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

You've set up your Robot Framework script to include this library:

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

However, when you execute your test, you encounter the following error:

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

Despite trying various solutions, you simply can't resolve this problem, and worries start to build as time passes.

The Solution: Specify the Correct Library Name

The good news is that this issue can typically be resolved with a straightforward adjustment. The main reason for the ModuleNotFoundError comes from how Robot Framework attempts to locate and import your library. By default, Robot Framework looks for Python files without their .py extension; therefore, it couldn't find your helloworld module correctly. Here's what you need to do:

Step 1: Modify Your Library Import

Change your library import statement in the Robot Framework script to include the full name of your Python file, specifically the .py extension. Here’s the revised version of your Robot script:

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

Step 2: Execute Your Test Again

After making this adjustment, go ahead and run your Robot Framework script once more.

Expected Outcome

You should now see that your test executes successfully without any errors, and it should print "Hello World" as intended.

Conclusion

Dealing with ModuleNotFoundError in Robot Framework when importing Python libraries can be a common source of frustration, but the solution is usually just a small change in your import statement. By specifying the complete filename including the .py extension, you can ensure that Robot Framework can find and utilize your Python libraries effectively.

Next time you run into a similar problem, remember this simple solution, and you’ll save time and effort in troubleshooting your tests. Happy testing!

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