Enhanced Regex Patterns for Transaction Parsing

• Day: 2024-12-23
• Time: 00:00 to 01:00
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Regex, Transaction Parsing, Data Validation, Python

Description

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.

Evidence

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• event_ids: []