Resolving the ModuleNotFoundError: No module named 'sample' Issue with Pytest

Encountering the `ModuleNotFoundError` in Python while using Pytest? Discover how to properly set your Python path and eliminate this error effectively.
---

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: moduleNotFoundError: no module named (*)

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
---
Resolving the ModuleNotFoundError: No module named 'sample' Issue with Pytest

If you've tried running your tests using python -m pytest and were met with the frustrating message ModuleNotFoundError: No module named 'sample', you're not alone. This error can occur when Pytest is unable to locate your modules, especially if they are organized in a specific directory structure. In this guide, we'll delve into the reasons behind this issue and provide a comprehensive solution to get your tests running smoothly.

Understanding the Problem

The ModuleNotFoundError suggests that the Python module structure is not being recognized. Specifically, in the example shared, the module named 'sample' resides within a subdirectory called src. When you run Pytest, it may not automatically look in this directory for imports, leading to the error being raised.

Why Does This Happen?

By default, using python -m pytest sets your current working directory as the root for module resolution.

If your modules (like 'sample') are nested inside a folder (like src), Pytest may not find them since they aren’t in the current directory or the Python path.

Solution: Adding Source Directory to Python Path

To resolve this issue, you need to modify the Python path so that it includes the src directory where your 'sample' module resides. Here's a step-by-step guide on how to do this effectively.

Navigate to your tests directory where you run your tests.

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

Explanation of the Code

Import Statements: We import sys to manipulate the Python path and Path from the pathlib module to handle filesystem paths easily.

Step 3: Run Pytest Again

Now that you've configured the Python path correctly, try running your tests again with:

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

Expected Outcome

With this configuration, Pytest should now be able to find the 'sample' module located in the src directory without raising the ModuleNotFoundError. This adjustment service as a valuable practice not only for resolving your current issue but also for similar scenarios in future projects.

Conclusion

With this guide, you should have a clearer understanding of resolving this error and ensuring a smoother workflow in your testing endeavors.