Enhanced News Processing Pipeline and Debugging

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📅 2024-10-01 — Session: Enhanced News Processing Pipeline and Debugging

🕒 03:10–03:50
🏷️ Labels: News, Scraping, NLP, Python, Debugging, Automation
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to enhance the news processing pipeline by expanding content extraction, implementing unstructured data storage using MongoDB, integrating NLP for keyword extraction and classification, and automating the triage of news articles. Additionally, it focused on debugging and improving the NewsDataCollector bot.

Key Activities

  • Developed a comprehensive plan for enhancing the news scraping setup.
  • Outlined and implemented the NewsDataCollector bot to scrape news from RSS feeds and store them in a SQLite database.
  • Implemented verbose unit tests for the NewsDataCollector to ensure data integrity.
  • Enhanced a Python function for news collection with verbose print statements for better debugging.
  • Debugged issues related to news article storage, including database insertion errors and key mismatches.
  • Revised the save_to_db method to ensure the news table exists before data insertion.

Achievements

  • Successfully planned and executed enhancements to the news processing pipeline.
  • Implemented and tested the NewsDataCollector bot with improved error handling and logging.

Pending Tasks

  • Further integration of NLP features for keyword extraction and classification.
  • Full automation of the news triage process.

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