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Скачать или смотреть How to Efficiently Write pytest Results to a CSV File

  • vlogize
  • 2025-04-02
  • 9
How to Efficiently Write pytest Results to a CSV File
how do I write pytest result to a csv?pytest
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Описание к видео How to Efficiently Write pytest Results to a CSV File

Discover the best ways to collect your `pytest` results in a CSV format for easy reporting and analysis.
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This video is based on the question https://stackoverflow.com/q/73465235/ asked by the user 'Rag' ( https://stackoverflow.com/u/13138241/ ) and on the answer https://stackoverflow.com/a/73465596/ provided by the user 'O.G.' ( https://stackoverflow.com/u/7900671/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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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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Introduction

If you are using pytest for your testing suite, you might have found yourself needing to collect the results of your tests for various purposes, such as documentation or reporting. One common approach is to log these results into a CSV file, which can be easily shared or imported into other tools like Jama. In this blog, we'll walk through a simple yet effective method to capture your pytest results and save them in a CSV file.

Problem Statement

Imagine you have a set of test cases written in pytest, and you want to record their outcomes into a CSV file for later analysis. Normally, when a test case asserts a condition, it gracefully concludes, and you might be left wondering how to capture and log that outcome. How do you go from test results on the console to a neatly organized CSV file?

Solution Overview

Recording pytest results in a CSV file can be smoothly achieved by using simple assertions within try-except blocks. Below, we’ll break down how to accomplish this step-by-step.

Step 1: Setting Up Your Environment

Before you dive into coding, ensure you have the pytest library installed. You can do this via pip:

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

Step 2: Writing the Test Case

Create a basic test file where you will write your test cases. Here’s an example test function:

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

This function performs a simple assertion. Now, to capture the result, you would modify it to include result logging.

Step 3: Capture the Results

In order to write the results to a CSV, wrap your assertions within a try-except block. Here’s a practical example:

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

Step 4: Running Your Tests

Now that you have your test cases wrapped with result logging, you can run your tests using pytest. Simply execute the following command in your terminal:

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

Step 5: Verifying the Output

Once the tests have run, check the directory where the script is located. You should find a test_results.csv file containing the results of your tests. An example output would look like this:

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

Conclusion

Capturing pytest results into a CSV file is not only straightforward but also a great way to keep track of your test outcomes. By implementing a simple structure with try-except blocks, you can efficiently log these results and utilize them for reporting purposes. This method provides a clear view into your testing framework and can be a crucial asset for any developer or team aiming to streamline their testing process.

With these easy steps, you should now be well-equipped to record and analyze your pytest results in a CSV format. Happy testing!

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