Frontend Integration #8
Description
Task 007: Frontend Integration
Overview
Create the frontend components and integration layer for AI functionality, including the AI trigger button, status indicators, and API client. This task focuses on the user-facing interface elements that enable users to interact with the AI extension system.
Objectives
- Create AI trigger button as floating action button in right-bottom corner
- Implement plugin status indicators and error state visualizations
- Add API client for calling new AI endpoints
- Provide responsive UI for AI interactions
- Ensure accessibility and user experience standards
Technical Requirements
AI Trigger Button
- Create floating action button positioned in right-bottom corner
- Implement hover states and click animations
- Add AI icon/indicator to clearly identify functionality
- Handle different states: idle, processing, error, success
- Ensure button is accessible and keyboard navigable
- Add proper ARIA labels and screen reader support
Plugin Status Indicators
- Create visual indicators for plugin status:
- Online/Available (green indicator)
- Offline/Unavailable (red indicator)
- Processing (animated spinner)
- Error state (warning icon with error message)
- Implement status polling to keep indicators current
- Add tooltips with detailed status information
- Handle multiple plugin status display
Error State Management
- Create error boundary components for AI functionality
- Implement user-friendly error messages and recovery options
- Add retry mechanisms for failed AI requests
- Handle network connectivity issues gracefully
- Provide fallback UI when AI features are unavailable
API Client Implementation
- Create dedicated API client for AI endpoint communication
- Implement request/response handling with proper typing
- Add request timeout and retry logic
- Handle authentication and authorization for AI endpoints
- Implement request caching where appropriate
- Add comprehensive error handling and logging
Acceptance Criteria
- AI trigger button is visible and functional in right-bottom corner
- Plugin status indicators accurately reflect current plugin state
- Error states are clearly communicated to users with recovery options
- API client successfully communicates with AI endpoints
- All UI components are accessible and keyboard navigable
- Status indicators update automatically based on plugin health
- Button states change appropriately during AI processing
- Error handling provides meaningful feedback to users
Dependencies
This task depends on:
- Task 004: HTTP API Gateway must be complete for API client implementation
Conflicts
This task can work in parallel with backend tasks once the HTTP API is available, but requires coordination on:
- API endpoint specifications and contracts
- Error response formats and handling
- Authentication/authorization requirements
Implementation Notes
Frontend integration should:
- Follow existing UI/UX patterns and design system
- Maintain responsive design across different screen sizes
- Implement progressive enhancement for AI features
- Use existing state management patterns for status tracking
- Consider performance impact of status polling
- Ensure graceful degradation when AI services are unavailable
The frontend integration enables:
- Intuitive user access to AI functionality through prominent trigger button
- Clear visibility into AI plugin status and availability
- Seamless integration of AI features into existing user workflows
- Robust error handling that maintains user experience quality
Files to Create/Update
- AI trigger button component
- Plugin status indicator components
- Error boundary and error state components
- AI API client implementation
- Status polling and state management logic
- CSS/styling for AI components
- Accessibility enhancements
- Frontend integration tests