📅 2025-01-24 — Session: Integrated MongoDB with Google Sheets
🕒 15:45–17:29
🏷️ Labels: Mongodb, Google Sheets, Python, Data Integration, Logging
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The primary objective was to integrate MongoDB data ingestion with Google Sheets updates, ensuring a seamless data flow and robust error handling.
Key Activities
- Developed a workflow for integrating MongoDB data with Google Sheets.
- Enhanced Python scripts with detailed logging for debugging.
- Improved the
flatten_records
function with error handling and logging. - Updated the method for handling missing fields in MongoDB records.
- Implemented fixes to improve data processing workflow robustness, including unique email ID generation and string data type enforcement.
- Provided commands for MongoDB connection and data retrieval.
- Outlined strategies for debugging and data quality validation.
- Discussed message ID tracking and triage workflows.
Achievements
- Successfully integrated MongoDB data with Google Sheets.
- Enhanced robustness and error handling in data processing scripts.
- Improved data quality validation and debugging processes.
Pending Tasks
- Further testing and validation of the integrated system.
- Continuous monitoring and optimization of data workflows.