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Discover how to manage the `execution order` of parametrized tests in Pytest effectively. Learn to configure your tests for structured and predictable execution.
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Mastering Test Execution Order in Parametrized Tests with Pytest

When working with automated testing, especially using Pytest, users often encounter situations where the order of test execution can significantly impact the results and readability. In this guide, we will explore a common challenge: how to control the order of test execution in parametrized tests. Specifically, we will focus on ensuring that tests within the same parameter run consecutively before moving on to the next one.

Understanding the Problem

Let's say you have a set of parametrized tests, and each test case evaluates different parameters. For example, you might want to ensure that test01 runs with url0001 before test02 runs with the same URL, followed by test01 and test02 running with url0002, and so forth. Without a controlled order, tests may run in an unpredictable sequence, which can lead to confusion and make debugging more complicated:

Current Test Results

For instance, here’s what typical test output might look like:

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Desired Test Results

Ideally, the output should appear as follows:

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

The Solution: Using pytest_collection_modifyitems

To achieve the desired test order, we can utilize the pytest_collection_modifyitems hook. This hook allows you to modify the order in which tests are executed. Here's how to implement this in your conftest.py file:

Step-by-Step Implementation

Create/Modify conftest.py: This file typically holds configuration and fixtures for your tests. You can add the following function to it.

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

Testing the Changes: After adding this code, run your tests using the command:

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Expected Output: You should now notice that the execution order aligns with your requirements:

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

Final Thoughts

By leveraging the pytest_collection_modifyitems hook, you can gain granular control over test execution order in your parametrized tests. This adjustment can enhance readability and maintainability, fostering a more structured environment for conducting automated tests.

If your tests are utilizing different modules or classes, you can further adapt or remove the parameter checks within the sorting function for broader applicability. Learning these techniques will transform your testing process into a more efficient and user-friendly experience.

With the knowledge you've gained, you can now effectively manage the execution order of tests in Pytest. Happy testing!