📅 2025-12-30 — Session: Developed and Documented Python Query Patterns
🕒 16:35–16:40
🏷️ Labels: Python, Query Patterns, Report Generation, Data Ingestion, Automation
📂 Project: Dev
Session Goal
The session aimed to explore and document various query patterns in Python scripts, focusing on error handling, argument parsing, and report generation.
Key Activities
- Documented query patterns in ‘reports.py’, focusing on error handling and report generation.
- Explored filtering queries related to reports and ingest manifest configurations.
- Analyzed queries for ‘manifest.json’ and ‘materialize.py’, focusing on partitions and timestamps.
- Documented commands for data ingestion using ‘ingest.py’, including handling anomalies and writing manifests.
- Outlined architectural decisions for the ‘accounting/manifest.py’ module.
Achievements
- Comprehensive documentation of query patterns and command queries across multiple Python scripts was achieved.
- Clarified the use of various command-line arguments and options for generating reports and processing data.
Pending Tasks
- Further exploration and testing of the documented query patterns to ensure robustness and efficiency in different scenarios.