Automated API Testing for Python 2 to Python 3 Migration
Challenge
Virtusize is a Tokyo-based fashion e-commerce technology company that helps online shoppers choose the most suitable clothing size and fit. Its platform supports e-commerce businesses by placing online stores within a marketplace environment. Virtusize needed to test the API service behind its size-selection solution while migrating from deprecated Python 2 to Python 3 under short deadlines.
The client required a QA Automation Engineer to validate the API service, protect expected application behavior during the Python migration, and identify gaps in endpoint coverage. The testing scope also needed to account for third-party services used to store business objects and images, reducing the risk that the migration would introduce regressions into the application’s business logic.
Virtusize is a Tokyo-based fashion e-commerce technology company that helps online shoppers choose the most suitable clothing size and fit. Its platform supports e-commerce businesses by placing online stores within a marketplace environment. Virtusize needed to test the API service behind its size-selection solution while migrating from deprecated Python 2 to Python 3 under short deadlines.
The client required a QA Automation Engineer to validate the API service, protect expected application behavior during the Python migration, and identify gaps in endpoint coverage. The testing scope also needed to account for third-party services used to store business objects and images, reducing the risk that the migration would introduce regressions into the application’s business logic.
Solution
QA Madness provided QA automation for Virtusize’s API service migration from Python 2 to Python 3. After evaluating the software and business objectives, the QA engineer created automated API test cases using Tavern and Pytest. To support a controlled Python migration, the engineer tested both Python versions before transition.
The QA engineer analyzed API endpoint coverage to improve the traceability of expected test results. This analysis identified missing endpoint coverage. In collaboration with the development team, additional API endpoints were designed and implemented to improve application-data traceability.
Each new API endpoint was covered with functional and integration tests when it became ready. The QA automation scope also included regression testing because the application relied on third-party services for business-object and image storage. This testing strategy validated API functionality, integrations, endpoint behavior, and regression risks throughout the Python 2 to Python 3 transition.
QA Madness provided QA automation for Virtusize’s API service migration from Python 2 to Python 3. After evaluating the software and business objectives, the QA engineer created automated API test cases using Tavern and Pytest. To support a controlled Python migration, the engineer tested both Python versions before transition.
The QA engineer analyzed API endpoint coverage to improve the traceability of expected test results. This analysis identified missing endpoint coverage. In collaboration with the development team, additional API endpoints were designed and implemented to improve application-data traceability.
Each new API endpoint was covered with functional and integration tests when it became ready. The QA automation scope also included regression testing because the application relied on third-party services for business-object and image storage. This testing strategy validated API functionality, integrations, endpoint behavior, and regression risks throughout the Python 2 to Python 3 transition.
Results
QA Madness delivered clear testing documentation and reports that identified improvement areas in Virtusize’s API service. The QA engineer implemented daily automated test runs in a cloud service to monitor the long-term stability of the API. Testing detected endpoint errors that prevented expected behavior within the application business model.
The QA team recommended changes to endpoint implementation so that GET requests conformed to the idempotent principle in REST API best practices. The collaboration improved endpoint-data traceability, strengthened application business-logic implementation, and supported a smooth, quality-controlled migration of the Virtusize API service from Python 2 to Python 3.
QA Madness delivered clear testing documentation and reports that identified improvement areas in Virtusize’s API service. The QA engineer implemented daily automated test runs in a cloud service to monitor the long-term stability of the API. Testing detected endpoint errors that prevented expected behavior within the application business model.
The QA team recommended changes to endpoint implementation so that GET requests conformed to the idempotent principle in REST API best practices. The collaboration improved endpoint-data traceability, strengthened application business-logic implementation, and supported a smooth, quality-controlled migration of the Virtusize API service from Python 2 to Python 3.