📅 2025-03-15 — Session: Enhanced Transaction Data Extraction and Cleaning
🕒 02:20–03:00
🏷️ Labels: Data Extraction, Csv Parsing, Pdf Issues, File Encoding
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to refine the transaction extraction process, address PDF text extraction issues, and ensure correct CSV parsing and encoding.
Key Activities
- Developed a plan to extract valid transaction rows by focusing on date patterns and necessary fields, ignoring irrelevant content.
- Identified and addressed issues with PDF text extraction, such as multi-line descriptions and misplaced fields.
- Successfully extracted and cleaned Mercado Pago transaction data, handling multi-line descriptions and ensuring correct parsing.
- Resolved CSV parsing issues in pandas by wrapping text fields in double quotes to prevent errors.
- Corrected and re-saved the CSV file with properly quoted text fields, providing a download link.
- Addressed file encoding issues by suggesting UTF-8 encoding and considering alternative encodings like latin1.
Achievements
- Improved the transaction extraction process and PDF text extraction logic.
- Successfully extracted, cleaned, and corrected CSV files for transaction data.
- Provided solutions for common CSV parsing and encoding issues.
Pending Tasks
- Further refine the PDF extraction logic to handle more complex formatting scenarios.
- Implement and test alternative encoding solutions for broader file compatibility.