Problem
Our team was tasked with automating API testing for a client using Python, Request, and pytest. The client had a large number of APIs that needed to be tested regularly, and the manual testing process was time-consuming and prone to errors. The client needed an automated solution that could quickly and accurately test their APIs.
However, we faced several challenges while developing the automation framework. Firstly, we had to ensure that the framework was scalable and could handle a large number of APIs. Secondly, we had to ensure that the tests were reliable and accurate. Finally, we had to ensure that the reports generated by the framework were easy to understand and actionable.
Solution
To address these challenges, we built an automation framework from scratch using Python, Request, and pytest. We used fixtures extensively to make the testing process more efficient and reliable. We also ensured that the framework was scalable by designing it in a modular fashion.
The automation framework allowed us to quickly test all of the client's APIs in a matter of minutes instead of hours. It also ensured that the tests were reliable and accurate by eliminating human error from the testing process. Finally, it generated reports in HTML format that were easy to understand and actionable.
Impact
Reduced API testing time by X%
Increase in accuracy of test results by X%
Improved visibility into API performance through detailed reports
Quote of how incredible of an impact this had.
Team
Team Member #1 - Software Engineer
Oversaw the creation and implementation of the automation framework
Designed the framework in a modular fashion to ensure scalability
Team Member #2 - Quality Assurance Engineer
Developed test cases for all of the client's APIs
Ran tests and analyzed results to ensure accuracy and reliability