📅 2024-10-04 — Session: Developed Automated System for File Processing
🕒 14:35–17:25
🏷️ Labels: Python, Automation, File Processing, Jupyter, Scripting
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to develop an automated system that mimics human work in processing folders and analyzing files, with a focus on optimizing design through specific agents and memory analysis.
Key Activities
- System Design: Explored the relationship between text, space, and tokens to improve language model efficiency, proposing task division and specialized agents.
- Python Scripting: Developed scripts to calculate memory usage of Python files and process Jupyter notebooks by stripping outputs to reduce size.
- Error Handling: Updated scripts to handle encoding errors and ignore hidden system files during processing.
- Outlier Investigation: Analyzed outliers in notebook file sizes, identifying large embedded images or plot outputs as potential causes.
Achievements
- Created a framework for an automated file processing system using Python scripts.
- Enhanced Jupyter notebook processing by implementing output stripping and error handling.
Pending Tasks
- Further refine token estimation strategies for processing submissions.
- Investigate and address directory access issues encountered during file processing.