📅 2025-07-05 — Session: Enhanced CSV Processing and Error Handling
🕒 20:30–20:45
🏷️ Labels: CSV, Error Handling, Data Processing, Encoding, Automation
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal:
The session aimed to review and enhance the transaction data processing pipeline, focusing on error handling and encoding issues in CSV files, particularly from European banks.
Key Activities:
- Reviewed the canonical transaction structure for potential improvements.
- Proposed a method for automatic detection of file encoding in non-UTF-8 CSV files using
pandas.read_csv. - Addressed file saving issues by ensuring necessary directories are created prior to file operations.
- Confirmed successful saving and standardization of Erste transaction files for system integration.
- Discussed common encoding issues in European bank CSV files and provided Python code for automatic detection and handling.
- Developed a complete pipeline in a notebook format for processing ERSTE account statements, including CSV reading, encoding handling, data cleaning, and canonical export.
- Analyzed CSV parsing errors due to unquoted commas and provided solutions using Pandas.
- Outlined a tokenization strategy for handling CSV parsing issues with unquoted commas, ensuring data integrity.
Achievements:
- Enhanced the data processing pipeline with robust error handling and encoding detection mechanisms.
- Successfully integrated Erste transaction files into the system.
Pending Tasks:
- Further testing of the tokenization strategy on diverse CSV files to ensure robustness.
- Continuous improvement of the transaction structure based on feedback from the review.