Issue Description
The README mentions that the AI Analytics feature configured with the OpenAI API is not working as expected and is still in testing. To improve the user experience and debugging process, it would be beneficial to implement proper error handling within the AI suggestions feature. Currently, if the API call fails or returns an error, there may be no indication to the user, leading to confusion and frustration.
Suggested Improvements
- Error Notification: Create user-friendly error messages that inform users when AI suggestions fail due to an API issue.
- Logging: Implement logging for AI suggestion errors to assist developers in diagnosing issues.
- Retry Mechanism: Consider adding a retry mechanism for failed API requests to improve reliability.
- Graceful Degradation: If AI suggestions cannot be retrieved, display alternative insights or a message indicating the service is currently unavailable.
Benefits
- Enhances user experience by providing clear feedback.
- Facilitates troubleshooting for developers.
- Increases the overall reliability of the system by handling errors more effectively.
Implementing these changes will help ensure that users are kept informed and that the application behaves predictably during failures.
Issue Description
The README mentions that the AI Analytics feature configured with the OpenAI API is not working as expected and is still in testing. To improve the user experience and debugging process, it would be beneficial to implement proper error handling within the AI suggestions feature. Currently, if the API call fails or returns an error, there may be no indication to the user, leading to confusion and frustration.
Suggested Improvements
Benefits
Implementing these changes will help ensure that users are kept informed and that the application behaves predictably during failures.