📅 2025-06-11 — Session: Data Pipeline and Scraping Enhancements
🕒 15:40–18:50
🏷️ Labels: Data Pipeline, Web Scraping, Python, Soap Notes, Error Handling
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to enhance the data processing and scraping pipelines by analyzing current implementations, proposing new designs, and addressing code issues.
Key Activities
- SOAP Notes Templates: Created structured SOAP notes for various medical procedures, including hernioplasty, tubal ligation, perineoplasty, and curettage, to ensure comprehensive patient documentation.
- Pipeline Analysis: Conducted a detailed analysis of the data processing pipeline, identifying strengths and areas for improvement, particularly in error handling and scalability.
- Design Proposal: Proposed a new architecture for an RSS article fetching pipeline, focusing on separation of concerns and implementation details.
- Python Scripting: Developed and refined Python scripts for managing master article indexes, including deduplication and incremental updates.
- Error Handling: Addressed KeyError issues in DataFrame processing and argparse handling in Jupyter Notebooks.
- Scraping Enhancements: Implemented improvements in scraping scripts, including temporal filtering and backlog management.
Achievements
- Developed robust SOAP note templates for various surgical procedures.
- Proposed and designed enhancements for data processing and scraping pipelines.
- Improved error handling in Python scripts to prevent crashes and ensure data integrity.
Pending Tasks
- Further testing and deployment of the proposed RSS article fetching pipeline.
- Continuous monitoring and optimization of scraping processes to handle backlog efficiently.