📅 2025-07-05 — Session: Enhanced Data Processing for Erste Transactions
🕒 23:30–23:50
🏷️ Labels: Csv Processing, Data Cleaning, Python, Error Handling, Finance
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to address various challenges related to processing and saving CSV transaction data from Erste bank accounts.
Key Activities
- Error Handling in DataFrame Access: Resolved a column access error in a DataFrame by modifying the code and suggesting pre-slicing column verification.
- Transaction Structure Review: Evaluated a canonical transaction structure, identifying strengths and areas for improvement.
- CSV Parsing and Saving: Developed a script to parse multiple CSV files from Erste accounts, assign metadata, and save cleaned data.
- Encoding Detection: Implemented automatic encoding detection for CSV files to prevent UnicodeDecodeErrors.
- File Processing Automation: Ensured directories exist before saving processed CSVs, handling errors related to missing folders.
- Pipeline Development: Created a notebook pipeline for processing Erste account statements, including reading CSVs, handling encodings, cleaning data, applying a canonical transaction schema, and exporting results.
- CSV Comma Handling: Addressed issues with unprotected commas in CSV fields, using tokenization to preserve data integrity.
Achievements
- Successfully saved Erste transactions in a standardized format, ready for system integration.
- Improved robustness in CSV parsing and data cleaning processes.
Pending Tasks
- Further refinement of the transaction structure based on the review insights.
- Continuous enhancement of error handling strategies for CSV processing.