Developed TEI XML to JSONL Parsing Pipeline

• Day: 2025-11-16
• Time: 19:30 to 19:50
• Project: Dev
• Workspace: WP 2: Operational
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Python, TEI, XML, Data Processing, JSONL

Description

Session Goal

The goal of this session was to develop and refine a pipeline for parsing TEI XML files into JSONL format, focusing on paragraph-level extraction and embedding generation.

Key Activities

• Developed Python scripts to process TEI XML files, extracting paragraph-level text and generating canonical records with placeholder embeddings.
• Implemented error handling and summary generation for the processing results.
• Created a reproducible pipeline for parsing TEI files, extracting chunks, and saving them in JSONL format.
• Inspected functions in existing Python scripts to ensure proper file handling and data processing.
• Developed a script to ingest JSONL data into ChromaDB, handling duplicates and embedding costs.

Achievements

• Successfully developed a pipeline for converting TEI XML files to JSONL format with optional embeddings.
• Ensured the pipeline is robust with error handling and summary reporting.
• Facilitated the inspection of Python scripts to verify functionality and data processing.

Pending Tasks

• Further testing of the pipeline with various TEI XML files to ensure robustness across different data sets.
• Optimization of embedding generation and upsert processes to ChromaDB.

Evidence

• source_file=2025-11-16.sessions.jsonl, line_number=1, event_count=0, session_id=61f1d734a5a8b1eac80d179d5af15521686f61a6675ca513fc070aa1df0cf7dc
• event_ids: []