Developed Python scripts for accounting ETL automation

• Day: 2026-01-09
• Time: 13:30 to 13:45
• Project: Accounting
• Workspace: WP 2: Operational
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Python, ETL, Makefile, Automation, Accounting

Description

Session Goal: The session aimed to develop and refine Python scripts to automate the accounting ETL (Extract, Transform, Load) processes and manage artifacts efficiently.

Key Activities:

• Addressed queries related to the accounting workflow, focusing on artifact management and naming conventions within Python scripts.
• Explored Makefile queries to enhance ETL processes, report assembly, and output management.
• Developed Python scripts for file existence and size checks, reading file content, and pattern matching using regular expressions.
• Implemented a script to analyze line counts in files, aiding in code structure and file size analysis.
• Created functions to extract file names from text using regular expressions and to read Makefile contents in Python.
• Conducted keyword frequency analysis in text and implemented a ‘grep’ context function for pattern searching.

Achievements:

• Successfully developed and tested multiple Python scripts to enhance the automation of accounting workflows and ETL processes.
• Improved understanding of Makefile integration with Python for reporting and artifact management.

Pending Tasks:

• Further validation of ETL live manifests and refining development loops for cleaning and fixture validation.
• Additional testing and optimization of scripts for production deployment.

Evidence

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• event_ids: []