📅 2024-12-23 — Session: Enhanced Regex Patterns for Transaction Parsing
🕒 00:00–01:00
🏷️ Labels: Regex, Transaction Parsing, Data Validation, Python
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal: The session aimed to enhance regex patterns for parsing transaction data, focusing on improving the handling of amounts, detection of specific transaction types, and robust date parsing.
Key Activities:
- Updated regex patterns to correctly match both positive and negative transaction amounts, addressing previous limitations.
- Modified regex patterns to include ‘SU PAGO’ lines in transaction detection, integrating these updates into the parsing function.
- Developed a robust regex pattern for date parsing in transactions, accommodating optional leading spaces and single-digit day numbers.
- Implemented a comprehensive function to process transaction lines, ensuring accurate detection of date formats and transaction details.
Achievements:
- Successfully improved regex patterns for transaction amounts, specific transaction type detection, and date parsing.
- Integrated these improvements into a functional parsing system to enhance data validation and processing.
Pending Tasks:
- Further testing of the updated regex patterns in diverse transaction datasets to ensure robustness and accuracy.
- Documentation of the updated regex functions for future reference and maintenance.