📅 2025-05-11 — Session: Enhanced JSONL Data Pipeline and Obsidian Export
🕒 00:40–01:20
🏷️ Labels: JSONL, Obsidian, Data Pipeline, Python, Automation
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal:
The session aimed to enhance the JSONL data pipeline and improve the export process to Obsidian for better data organization and retrieval.
Key Activities:
- RAG App Sprint Recap: Reviewed the progress and identified a deferred issue for future resolution.
- Checklist Update: Updated ongoing tasks checklist for the RAG app development.
- File Path Verification: Identified a missing JSONL file and outlined potential checks for metadata issues.
- Error Handling: Suggested solutions for JSONL file issues in the markdown export pipeline.
- Data Process Pipeline Plan: Outlined a plan to convert
.jsonllogs into a structured Obsidian vault. - Normalization of JSONL Logs: Implemented Python functions for loading and normalizing
.jsonlchat logs. - Obsidian Export Pipeline: Detailed the process for exporting notes to Markdown files for Obsidian.
- Dynamic Generation of Daily Index: Automated the creation of Daily Index files and a Global Map of Content (MOC) for Obsidian.
Achievements:
- Developed a comprehensive plan for the JSONL to Obsidian pipeline.
- Implemented Python scripts for data normalization and export.
- Enhanced note organization and retrieval in Obsidian.
Pending Tasks:
- Resolve the issue of the missing JSONL file by uploading or correcting the file path.
- Further refine the YAML metadata and linking strategies for Obsidian exports.