📅 2025-06-12 — Session: Enhanced PromptFlow Automation and JSON Structure Review
🕒 03:30–04:35
🏷️ Labels: Python, Automation, JSON, Promptflow, Data Processing
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to enhance automation scripts for PromptFlow output processing and review the JSON structure used for organizing articles.
Key Activities
- Reviewed the JSON schema for organizing articles, focusing on thematic coherence and redundancy removal.
- Developed a Python script to automate PromptFlow output processing, utilizing Pandas for data handling.
- Improved the PromptFlow script for real-time logging and error handling.
- Automated data processing with Python, including intelligent file naming and subprocess error handling.
- Processed JSONL files to extract nested structures, generating separate output files for articles and seed ideas.
- Evaluated 30 seed ideas for editorial content, identifying strengths and improvement opportunities.
Achievements
- Successfully reviewed and suggested improvements for the JSON structure of articles.
- Created and enhanced Python scripts for automating PromptFlow and data processing tasks.
- Identified and corrected a syntax error in Pandas’ merge function.
Pending Tasks
- Implement the suggested enhancements for file processing efficiency.
- Validate and normalize data for seed ideas as per recommendations.