Implemented TEI to JSONL pipeline and API enhancements

📅 2025-11-20 — Session: Implemented TEI to JSONL pipeline and API enhancements

🕒 10:35–11:10
🏷️ Labels: TEI, JSONL, API, React, Python, Next.Js
📂 Project: Dev

Session Goal:

The session aimed to implement a pipeline for processing TEI files into JSONL format and enhance API endpoints for paper metadata retrieval and caching.

Key Activities:

• Developed a main() function for converting TEI files to JSONL, including metadata handling and error management.
• Updated the /[[api]]/papers endpoint to read from all_papers.jsonl, added caching, and created an admin endpoint for cache refresh.
• Diagnosed and fixed an API path mismatch related to all_papers.jsonl loading.
• Improved backend cache loading by probing multiple paths and updating API endpoints.
• Created a React component for loading and displaying papers on a health page, handling loading and error states.
• Debugged API fetch issues in Next.js, addressing hydration warnings with concrete solutions.

Achievements:

• Successfully implemented a robust TEI to JSONL processing pipeline.
• Enhanced API functionality with caching and admin controls.
• Resolved API path mismatches and improved backend robustness.
• Developed a functional React component for frontend integration.

Pending Tasks:

• Further testing and optimization of the TEI to JSONL pipeline.
• Monitor and refine caching strategies for the API endpoints.