AOSSIE-Org / AOSSIE-Org/Devr.AI
[Enhancement] Implement Dynamic Loading States and Inline Validation for Model Configuration Forms
- Ngôn ngữ chính
- Python
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Mô tả
## Issue Description
### Description
Currently, the user interface for configuring and submitting AI model parameters lacks sufficient visual feedback. When a user submits a configuration or inputs data, there is a lack of real-time validation and no "loading" indicator during asynchronous API calls.
This can lead to a confusing user experience, duplicate submissions, and uncertainty regarding whether a process is running.
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### Impact
Providing immediate visual feedback ensures that the application feels responsive and professional.
It prevents users from making input errors before submission and stops "double-submission" bugs by disabling buttons during the loading state.
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### Proposed Changes
I propose adding a robust feedback loop to the configuration UI:
- Button Loading States: * Update the "Submit" or "Run" buttons to display a spinner and become disabled once clicked.
Revert to the active state only after a response (Success/Error) is received from the backend.
- Inline Form Validation: * Add real-time validation for numerical inputs (e.g., Learning Rate must be between 0 and 1).
- Highlight fields in red with a brief error message if the input is invalid.
- Toast Notifications: * Implement "Success" or "Failure" toast notifications (snackbars) to confirm that a background task has started or failed.
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### Technical Implementation Suggestion
- Introduce an isLoading state variable to manage the UI transition during API calls.
- Use conditional rendering for the button content: {isLoading ? : 'Run Model'}.
- (If applicable) Integrate a lightweight notification library like react-hot-toast or use the project's existing UI framework components.
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### Verification Plan
- Manual Test: Click the submit button and verify it becomes disabled and shows a spinner.
- Validation Test: Enter an out-of-range value in a parameter field and verify the error message appears immediately.
- Network Test: Simulate a slow network connection to ensure the loading state persists until the data is returned.
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