EPIC-4: Results Visualization #18
Description
Epic Overview
Create comprehensive results visualization and user experience components. Build advanced UI for displaying ML predictions, scenario comparison, and interactive result analysis.
Goals
- Create advanced results visualization components
- Implement ML prediction display and analysis
- Build scenario comparison and sharing features
- Develop comprehensive user experience with loading states and error handling
Child Tickets
- FWI-FE-401: Create useSimulation hook to handle complex scenario requests to FastAPI ML endpoints #10 - FWI-FE-401: Enhanced useSimulation hook
- FWI-FE-402: Update ControlPanel to gather scenario data and send to FastAPI ML prediction service #11 - FWI-FE-402: ControlPanel updates
- FWI-FE-403: Create LoadingOverlay component for ML prediction processing time #12 - FWI-FE-403: LoadingOverlay component
- FWI-FE-404: Create ToastNotification component for ML prediction success/error feedback #13 - FWI-FE-404: ToastNotification component
- FWI-FE-405: Use loading and error states from ML prediction API calls #14 - FWI-FE-405: Loading and error states
- FWI-FE-406: Create ScenarioSummary component to display submitted scenario with real data context #15 - FWI-FE-406: ScenarioSummary component
- FWI-FE-408: Connect SimulatorPage to display ML predictions and real data analysis from FastAPI #16 - FWI-FE-408: SimulatorPage integration
Dependencies
- EPIC-2 (Advanced frontend components)
- EPIC-3 (Advanced simulation logic)
Success Criteria
- Results visualization provides clear insights
- ML predictions are displayed effectively
- User experience is smooth with proper loading states
- Scenario comparison features work seamlessly