Case Study: Automating Python Tests with Generative AI to Handle SSG Membership Restructuring

As SSG Membership transitioned from Universe Club to SSG7 Club, validating usage periods based on enrollment dates became complex. In particular, the burden of manual testing was significant due to numerous edge cases, such as handling February billing dates for users who enrolled in late January.

The service planner attempted to automate testing using Python and generative AI (ChatGPT, Gemini). Despite lacking coding experience, they resolved issues by requesting step-by-step code from the AI and executing it.

The automation process is as follows:

• Generate test data via CSV files
• Call membership enrollment APIs using the httpx library
• Parse response values (start date, end date) and compare them with expected values
• Automatically determine validation results through the pytest framework

This approach automated the entire process from API calls to result verification. As a result, the testing scope was expanded, time consumption was reduced, and results could be checked immediately after testing concluded. This confirmed the potential of AI-based automation in repetitive testing areas with clear rules.