📅 2023-11-11 — Session: Enhanced Python Regex for Section Parsing
🕒 01:15–02:00
🏷️ Labels: Python, Regex, Text Parsing, Error Handling, Code Improvement
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The primary aim was to refine a Python script using regular expressions to accurately parse sections from structured text files.
Key Activities
- Developed a regex-based parser to extract hierarchical sections and store them in a dictionary.
- Modified the script to handle multiple entries with the same section number using tuples.
- Revised the regex to improve text capture accuracy following section numbers.
- Removed quotation marks during parsing to ensure accurate section identification.
- Updated regex patterns to comply with digit limits and leading zeros.
- Implemented a fixer transformation to validate and correct section numbers.
- Addressed a ValueError by adjusting parsing logic for better section separation.
- Tested the parsing functions with a sample document and suggested using a larger sample for accurate results.
Achievements
- Successfully enhanced the regex pattern for capturing section headers and their content.
- Improved error handling in the parsing function, ensuring robust text processing.
- Confirmed the correct structure of parsing and fixing functions through testing.
Pending Tasks
- Consider testing with a larger document sample to further validate the parsing functions’ accuracy and reliability.