Enhancing Collaboration and Efficiency through Automated Documentation of GCP Stored Procedures with genAI

Abstract

Abstract: In the realm of cloud-based data management on the Google Cloud Platform (GCP), effective documentation of work processes is essential for streamlined operations. However, existing practices often rely on manual efforts, leading to incomplete and time-consuming documentation. To overcome this challenge, we propose a Lab Week project leveraging genAI's natural language processing capabilities. Our objective is to develop a Python script that automates the generation of comprehensive documentation for GCP Stored Procedures. This innovative solution aims to extract crucial details such as Common Table Expressions (CTEs), temporary tables, end tables, and associated columns, resulting in a structured Word document. By harnessing genAI's power, our automated documentation system not only saves time but also ensures consistency and depth in GCP Design Details. This initiative fosters collaboration and knowledge transfer among team members, with the generated Word documents seamlessly integrating into Confluence pages as valuable resources for our development teams