Enhanced DBF to CSV and INDEC Data Extraction

• Day: 2025-09-09
• Time: 17:40 to 18:10
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Python, Data Extraction, CLI, Error Handling

Description

Session Goal

The session aimed to enhance data extraction scripts, focusing on converting DBF files to CSV and improving the INDEC quarterly data retrieval.

Key Activities

• Updated a Python script for extracting DBF files and converting them to CSV, including error handling and cleanup processes.
• Implemented a CLI command fetch_range to automate quarterly data extraction across a specified range of years.
• Enhanced the download_quarter function to prioritize modern ZIP file downloads, with fallbacks for legacy formats.
• Improved exception handling in the fetch function of cli.py to catch RuntimeError for missing files.

Achievements

• Successfully refactored the DBF to CSV extraction script, ensuring robust data processing and file management.
• Implemented automation for data extraction tasks, improving efficiency and reliability.
• Enhanced error handling and logging in data retrieval functions, ensuring smoother operation and better debugging.

Pending Tasks

• Further testing of the CLI enhancements to ensure compatibility with different file formats and error scenarios.

Evidence

• source_file=2025-09-09.sessions.jsonl, line_number=1, event_count=0, session_id=e47757ce3cc0e45a29f48e11caec4b8cdb7878015c3ab50918a04c4e2bf4a209
• event_ids: []