📅 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_capitulosfunction for better extraction of articles, titles, and chapters, incorporating conditions and exceptions. - Adapted the
agrupar_articulosfunction to work with list outputs, creating a newagrupar_elementosfunction for grouping elements up to 2500 words. - Reviewed and adjusted the
extraer_articulos_titulos_capitulosfunction 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.