📅 2025-06-11 — Session: Enhanced Data Processing and Digest Generation
🕒 03:30–04:50
🏷️ Labels: Python, Data Processing, Markdown, CSV, File Management
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal:
The session aimed to enhance data processing capabilities, focusing on topic grouping, digest generation, and file management using Python and Pandas.
Key Activities:
- Developed a function to split DataFrame rows into topic-based groups with unique GroupIDs, ensuring data integrity.
- Revised strategy for DataFrame storage and Markdown digest file generation, implementing structured filename conventions.
- Enhanced the
fetch_and_save_news()function to assign unique IDs to articles for improved processing. - Proposed a naming convention for CSV files generated during slicing, including slice parameters for better organization.
- Refined a function for saving digest files with improved naming conventions and metadata collection.
- Improved code for creating digest files from CSVs using
glob, including topic sanitization and structured output. - Enhanced markdown digest composition with metadata like links and publication dates.
- Refined logic for splitting data into groups based on maximum row size for even distribution.
- Fixed grouping logic in digest files to prevent mixing articles from different topics.
- Updated date formatting in markdown files to include hours.
Achievements:
- Successfully implemented enhanced data processing functions and strategies, improving organization, traceability, and user-friendliness of generated outputs.
Pending Tasks:
- Further testing and validation of the enhanced functions in a production environment to ensure robustness and reliability.