Refactored and Enhanced Python Automation Scripts

📅 2025-02-11 — Session: Refactored and Enhanced Python Automation Scripts

🕒 18:30–20:20
🏷️ Labels: Python, Automation, Error Resolution, Indexing, Chunking
📂 Project: Dev
⭐ Priority: MEDIUM

The primary goal of this session was to enhance and refactor Python automation scripts for improved workflow and error handling.

Automated workflow scripts were developed for file indexing, chunking, and embedding, focusing on GitHub repositories and job listings.
A watcher script was refined to monitor directories and process changes automatically.
Multiple ModuleNotFoundError issues were resolved, including those for ai_processing, python-magic, and chunk_manager modules.
Missing variables were defined in the file_watchers.py script to ensure integration with the Supabase API.
An executor script was structured for processing and indexing various data types using threading.
A high-level control system was outlined for indexing and chunking directories.
The DirectoryProcessor class was refactored for efficiency, integrating indexing and chunking processes.

Successfully automated and refined Python scripts for enhanced data processing and error handling.
Resolved critical module errors and improved the integration of various components.

Further enhancements to the control system for automation.
Continuous monitoring and testing of the refactored scripts for performance improvements.