Implemented TEI to JSONL pipeline and API enhancements

• Day: 2025-11-20
• Time: 10:35 to 11:10
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: TEI, JSONL, API, React, Python, Next.Js

Description

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.

Evidence

• source_file=2025-11-20.sessions.jsonl, line_number=7, event_count=0, session_id=ec9f30a9b5e2bb9897cc305df796860909ad3ddd781c013419af3463f0a8b03f
• event_ids: []