Refactored and Automated Accounting ETL Pipeline
- Day: 2025-11-26
- Time: 18:00 to 19:05
- Project: Dev
- Workspace: WP 2: Operational
- Status: Completed
- Priority: MEDIUM
- Assignee: Matías Nehuen Iglesias
- Tags: ETL, Makefile, Python, Accounting, Automation
Description
Session Goal
The primary aim of this session was to refactor and automate the accounting ETL pipeline, ensuring modularity, efficiency, and integration with CI systems.
Key Activities
- Diagnosis of Accounting System Files: Analyzed specific accounting files to understand their functions and capabilities, focusing on time series and transaction computations.
- Automation Commands: Developed automation commands for data processing tasks, including assembling tables and exporting data to Google Sheets.
- Refactor Plan: Created a comprehensive plan for refactoring the accounting pipeline, with steps for modular development and addressing potential defects.
- Python File Analysis: Conducted a detailed analysis of Python files to extract information on imports, functions, and CSV operations.
- Code Refactoring and Dependency Mapping: Mapped current code structure and dependencies, centralizing utility functions to enhance maintainability.
- Makefile Workflow: Designed a Makefile-driven workflow for ETL processes, report generation, and CI integration.
- Orchestration Plan: Developed an orchestration plan with Makefile and scripts for efficient ETL and report generation.
- Development Tools Setup: Provided a minimalistic setup for the accounting development environment to simplify ETL processes.
- Configuration Design: Created a YAML-based configuration design for orchestration and CI integration.
- Testing Scripts: Developed scripts for local Makefile testing to ensure robustness.
Achievements
- Successfully refactored the accounting pipeline to be more modular and efficient.
- Implemented automation workflows using Makefiles and Python scripts.
- Enhanced the development environment with new tools and configuration designs.
Pending Tasks
- Further testing and validation of the new ETL pipeline setup.
- Continuous monitoring and troubleshooting to ensure smooth operation.
Evidence
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