📅 2023-12-28 — Session: Enhanced text extraction and processing functions

🕒 18:50–20:20
🏷️ Labels: Python, Text Processing, Function Improvement, Web Scraping, Legal Articles
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to improve and refine Python functions for extracting and processing text from HTML documents and legal articles.

Key Activities

  • Corrected text construction from HTML elements to ensure accurate document text compilation.
  • Improved the extraer_articulos_titulos_capitulos function for better extraction of articles, titles, and chapters, incorporating conditions and exceptions.
  • Adapted the agrupar_articulos function to work with list outputs, creating a new agrupar_elementos function for grouping elements up to 2500 words.
  • Reviewed and adjusted the extraer_articulos_titulos_capitulos function for efficient article, title, and chapter detection.
  • Modified the function to handle text processing of articles continuing after colons and improved legal article detection by ensuring consecutive numbering.
  • Integrated logic to verify citations in article extraction, preventing misinterpretation of citations as new articles.

Achievements

  • Successfully refined multiple functions to enhance text extraction and processing capabilities, ensuring accurate handling of HTML and legal documents.

Pending Tasks

  • Further testing and validation of the new and modified functions to ensure robustness in various document scenarios.