π 2025-11-29 β Session: Developed CLI and Makefile for Accounting Pipeline
π 23:30β00:00
π·οΈ Labels: Python, Makefile, Data Processing, Automation, Accounting
π Project: Dev
Session Goal: The session aimed to implement a robust materialization layer for the accounting data pipeline, focusing on automating data ingestion and materialization processes using Python scripts and Makefiles.
Key Activities:
- Implemented
materialize.pyfor converting accounting data into CSV files, including functions for writing atomic CSVs, generating manifests, and handling ledger data. - Developed a Makefile to orchestrate the ingest and materialization processes, facilitating streamlined data processing without external scripts.
- Created two Python scripts,
run_ingest.pyandmaterialize.py, with command-line interfaces for user interaction and logging to track execution and handle errors. - Designed CLI scripts to facilitate accounting data ingestion and materialization, ensuring efficient data processing workflows.
- Drafted a Makefile for a weekly accounting pipeline, ensuring a clean structure by calling CLI modules.
- Outlined a pragmatic run plan for the data pipeline, including
makecommands and checks to verify data integrity.
Achievements:
- Successfully developed a comprehensive automation framework for accounting data processing, integrating Python scripts and Makefiles.
- Enhanced data processing efficiency and reliability through CLI tools and structured workflows.
Pending Tasks:
- Further testing and validation of the data pipeline to ensure robustness and error handling.
- Potential integration with other data sources or systems to expand the pipelineβs capabilities.