Enhanced Accounting Pipeline and Time-Series Functions

📅 2025-11-29 — Session: Enhanced Accounting Pipeline and Time-Series Functions

🕒 23:05–23:25
🏷️ Labels: Python, Accounting, Data Ingestion, Time-Series, Scripting
📂 Project: Accounting

Session Goal

The goal of this session was to enhance the accounting pipeline and improve the handling of time-series data in Python scripts.

Key Activities

• File Handling and Code Navigation: Utilized Python scripts to read and display contents of Python files, locate specific function definitions, and list files in directories.
• Function Identification: Employed regular expressions to identify and locate functions such as load_google_sheet and get_google_sheets_client within codebases.
• Script Enhancements: Updated the src/accounting/ingest.py to improve data ingestion processes, focusing on DataFrame structure and anomaly handling.
• Time-Series Update: Modified core_timeseries.py to include deterministic functions for accounting time-series data, detailing input and output formats.

Achievements

• Successfully refactored the ingestion logic for the accounting pipeline.
• Implemented robust functions for time-series data handling, enhancing data processing capabilities.

Pending Tasks

• Further testing of the updated ingestion logic and time-series functions to ensure robustness and accuracy in various scenarios.