feat: notifications about important events for users

[ViljarVoidula]

Here's an updated RFC for the notifications service enhancement incorporating BullMQ instead of RabbitMQ.

Request for Change (RFC)

Title: Notifications Service Enhancement in Forgemaster AI

Author(s):

• Viljar @ViljarVoidula

Date:

• 12/15/2024

Introduction

This RFC aims to optimize the existing notifications service within Forgemaster AI by enhancing user communication regarding job processing updates. The goal is to provide timely and clear notifications that inform users about the status of their processing tasks, improving overall user experience.

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Proposal

Enhance the current notifications service with the following improvements:

• Description of the proposed solution:

  • Implement user-friendly notifications to alert users when their processing jobs are completed, failed, or pending.
  • Utilize BullMQ for efficient message queuing and processing.
  • Incorporate user preference settings to enable customization of notification types and delivery methods (e.g., email, in-app).

• Technical requirements:

  • Extend the existing BullMQ configurations to handle various notification types.
  • Develop frontend components to display notifications within the Forgemaster UI.
  • Update the backend logic to trigger notifications based on job status changes.

• Impact on existing systems or processes:

  • Improved user engagement and satisfaction through proactive communication.
  • Reduced ambiguity regarding job statuses, leading to better resource management.

Implementation Plan

1. Step 1: Enhance BullMQ setup to manage multiple notification types related to job statuses.
2. Step 2: Update the backend service to trigger notifications based on job processing events using BullMQ.
3. Step 3: Develop UI components to display notifications effectively across the platform.

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Risks and Mitigation

Risk 1: Notification Overload

• Mitigation Strategy: Implement rate limiting to avoid spamming users with notifications.

Risk 2: User Preferences Misconfiguration

• Mitigation Strategy: Provide clear defaults and user-friendly interfaces for managing notification preferences.

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Success Metrics

• Metric 1: Measure user feedback on notification clarity and usefulness.
• Metric 2: Track the decrease in support inquiries related to job status updates.

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Conclusion

Enhancing the notifications service using BullMQ will significantly improve user experience within Forgemaster AI. By ensuring timely updates about processing jobs, the service can foster better engagement and satisfaction among users.

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Additional Notes

Ongoing user testing will be essential to refine notification types and delivery methods based on user preferences and behaviors.

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Acknowledgements

Thanks to the development team for their commitment to maintaining the notifications service and leveraging feedback from users.

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References

• Documentation on utilizing BullMQ for notifications.
• Prior discussions regarding user feedback on notification experiences.