GitLab Open API Code Statistics: Making Your Efforts Visible to Management

This article introduces how to use GitLab Open API for project creation, initialization, and team code statistics. The author describes the development of the Dunhuang system, a project development lifecycle management system created by the Zhejiang Caiyun frontend team.

The article covers two main requirements: creating repositories with code initialization and code statistics. For project creation, it explains using GitLab's API endpoints with a unified user 'Front' for authentication, handling project permissions, and initializing project files using Node.js with EJS templates. The process involves creating projects via POST /projects, reading template files by converting blob URLs to raw, rendering with template engines, and committing changes.

For code statistics, the article presents an alternative to Git hooks by using GitLab Events API. It details collecting user information via DingTalk API, retrieving Git user IDs, querying events, fetching detailed commit statistics including additions, deletions, and totals, and storing data in databases with scheduled tasks. The approach addresses limitations of Git hooks and provides insights into team productivity and code quality.

The author emphasizes that the purpose is not to evaluate employees solely by code quantity but to enable code compliance checks, validate architectural improvements, and demonstrate how technical infrastructure can reduce workload. The article concludes with recruitment information for the ZooTeam frontend group.