📅 2024-10-04 — Session: Developed Automated System for File Processing
🕒 14:30–17:30
🏷️ Labels: Automation, Python, Jupyter, Optimization, AI
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The goal of this session was to develop an automated system that emulates human work in processing folders and analyzing files, optimizing the design using specific agents and memory analysis.
Key Activities
- Blueprint Creation: Developed a framework for an automated system to process files and folders using AI.
- Optimization Strategies: Explored the relationship between text length, space, and tokens to enhance system efficiency.
- Python Scripting: Created scripts for memory usage analysis of Python files and stripping outputs from Jupyter notebooks.
- Directory Management: Addressed issues related to directory access and file processing, including ignoring hidden files and handling encoding errors.
- Token Estimation: Estimated tokens required for processing submissions and strategized task management.
Achievements
- Developed a comprehensive system blueprint and optimization strategies.
- Successfully implemented Python scripts for file processing and memory usage analysis.
- Improved Jupyter notebook handling by automating output stripping and error management.
Pending Tasks
- Further analysis of outliers in Jupyter notebook file sizes.
- Implementation of the folder processing loop design.