📅 2025-10-15 — Session: Implemented and Enhanced File Triage System
🕒 16:50–17:40
🏷️ Labels: File Triage, Automation, Metadata Extraction, Python, Optimization
📂 Project: Dev
Session Goal
The goal of this session was to implement and enhance a file triage system that scans directories, extracts metadata, and summarizes folder contents into CSV reports. This involved developing scripts for directory scanning and metadata extraction, optimizing file processing functions, and improving PDF snippet extraction.
Key Activities
- Developed a triage file and folder scanner script to scan directories, extract metadata, and summarize contents.
- Rebuilt the triage system to integrate specific functions, producing file inventories and folder summaries.
- Conducted a code review and provided optimization suggestions for file processing functions.
- Enhanced PDF snippet extraction with error handling and guardrails.
- Installed LangChain text splitters for advanced text processing.
- Analyzed entropy in the Downloads directory to identify areas for organization and automation.
- Developed a JSON schema and Jinja prompt for deterministic file triage.
- Implemented a file scoring function in Python to evaluate files based on size, entropy, and modification time.
Achievements
- Successfully implemented a triage system that generates comprehensive reports on file and folder contents.
- Improved file processing reliability and performance through code optimization.
- Enhanced PDF processing capabilities with robust error handling.
- Established a structured approach for file triage using JSON schema and Jinja templates.
Pending Tasks
- Further refine the directory triage automation by incorporating additional metadata fields to prevent misclassification.
- Explore additional features for improved organization and data integrity in the triage system.