📅 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.