Enhanced Transaction Data Extraction and Cleaning

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Enhanced Transaction Data Extraction and Cleaning

  • Day: 2025-03-15
  • Time: 02:20 to 03:00
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: Completed
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: Data Extraction, Csv Parsing, Pdf Issues, File Encoding

Description

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.

Evidence

  • source_file=2025-03-15.sessions.jsonl, line_number=2, event_count=0, session_id=a7c3474d66a5669d0d30fc2eaf062c79c3baf3a2dd63f1c314e332880d3ac19a
  • event_ids: []

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