📅 2025-12-30 — Session: Developed Python scripts for accounting data processing
🕒 16:30–16:40
🏷️ Labels: Python, Data Ingestion, Accounting, Manifest, Automation
📂 Project: Accounting
Session Goal: The session aimed to develop and refine Python scripts for generating accounting reports and managing manifest files, focusing on data ingestion and ledger management.
Key Activities:
- Summarized queries related to generating accounting reports and managing manifest files using argparse and JSON for file handling.
- Outlined Python commands and functions for data ingestion and ledger management, including schema definitions and manifest writing.
- Compiled a list of command queries for executing various Python scripts, detailing required arguments and execution modes.
- Documented command queries for the ‘materialize.py’ script, focusing on data aggregation, manifest writing, and loading operations.
- Reviewed key functionalities and command-line arguments for the ‘ingest.py’ script, detailing execution requirements and data handling.
- Developed queries for extracting data from JSON manifest files, focusing on timestamps and CSV files for financial data analysis.
Achievements:
- Successfully documented and structured the workflow for Python scripts handling accounting data processing and manifest management.
Pending Tasks:
- Further testing and validation of the Python scripts in a production environment to ensure reliability and accuracy.
- Integration of the developed scripts with existing accounting systems for seamless data processing.