Enhanced message and event processing workflows

📅 2024-12-03 — Session: Enhanced message and event processing workflows

🕒 06:40–10:10
🏷️ Labels: Python, Rabbitmq, Mongodb, Google Calendar, Automation
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal: The session aimed to enhance message and event processing workflows using Python, MongoDB, RabbitMQ, and Google Calendar API, focusing on error handling, automation, and integration.

Key Activities:

1. MongoDB Collection Summary: Guidance was provided on executing a Python code snippet to summarize a MongoDB collection.
2. Function Schema Optimization: Steps were outlined for implementing a function schema with the gpt-3.5-turbo model to optimize cost and workflow.
3. Message Processing: Implemented a Python function to process messages from MongoDB, ensuring no duplicates and integrating GPT for classification.
4. RabbitMQ Observations: Provided insights and suggestions for improving RabbitMQ UI and methods for inspecting message content.
5. Error Handling in RabbitMQ: Solutions for queue declaration errors and graceful handling of KeyboardInterrupt in RabbitMQ consumers were addressed.
6. Google Calendar Integration: Updated Python code for Google Calendar event creation, focusing on timezone updates and handling missing time fields.
7. Year Validation: Implemented year validation for event dates and task due dates to ensure they are set to 2024 or later.
8. Webhook Integration: Integrated webhook functionality for task and event processing with Zapier.

Achievements:

• Enhanced message processing workflows with duplicate checks and error handling.
• Improved Google Calendar event processing with timezone and year validation.
• Integrated webhooks for automation with Zapier.

Pending Tasks:

• Further testing of the integrated workflows to ensure robustness.
• Explore additional enhancements for RabbitMQ UI based on suggestions.
• Monitor cost efficiency of the function schema with gpt-3.5-turbo.