Frontend Overview

The Four-Sided Triangle frontend is a Next.js application that provides a sophisticated user interface for interacting with the multi-model optimization pipeline. Built with React and TypeScript, it offers an intuitive and responsive interface for domain-expert knowledge extraction.

Architecture

The frontend follows a component-based architecture with clear separation of concerns:

Core Technologies

• Next.js 13+: React framework with app router
• TypeScript: Type-safe development
• Tailwind CSS: Utility-first CSS framework
• React Hooks: State management and side effects

Directory Structure

frontend/
├── src/
│   ├── components/          # Reusable UI components
│   │   ├── query/          # Query processing components
│   │   ├── modeler/        # Model integration components
│   │   ├── solver/         # Problem solving components
│   │   ├── interpreter/    # Result interpretation components
│   │   ├── result/         # Result display components
│   │   └── domain-experts/ # Domain expert selection
│   ├── pages/              # Next.js pages
│   ├── services/           # API integration services
│   ├── utils/              # Utility functions
│   ├── types/              # TypeScript type definitions
│   └── styles/             # Global styles and themes
├── public/                 # Static assets
└── docs/                   # Component documentation

Key Components

Query Component

Handles user input and query processing with advanced features:

• Syntax highlighting for technical terms
• Query validation and preprocessing
• Intent classification and context incorporation
• Real-time query analysis and feedback

Modeler Component

Manages the transformation of queries into structured models:

• Entity extraction and relationship mapping
• Parameter identification and constraint recognition
• Domain knowledge integration
• Model validation and refinement

Solver Component

Coordinates the problem-solving process:

• Solution strategy selection
• Multi-path reasoning visualization
• Evidence gathering and organization
• Uncertainty management

Interpreter Component

Transforms technical results into user-friendly explanations:

• Technical translation and narrative construction
• Quality assessment and clarity enhancement
• Visual element integration
• Contextual adaptation

Result Component

Displays comprehensive results with rich visualizations:

• Interactive result exploration
• Confidence scoring and uncertainty indicators
• Export functionality (JSON, CSV)
• Comparison views for multiple solutions

Domain Expert Component

Provides interface for selecting and managing domain experts:

• Visual model selector
• Confidence score visualization
• Model comparison capabilities
• Feedback mechanisms

Data Flow

The frontend implements a sophisticated data flow architecture:

1. User Input: Query captured through interactive interface
2. Query Processing: Real-time validation and preprocessing
3. Model Transformation: Structured model generation
4. Solution Generation: Multi-path reasoning and evidence gathering
5. Result Interpretation: Technical translation and quality assessment
6. Result Display: Rich visualization and interaction capabilities

LLM Integration

The frontend integrates with multiple LLM types:

Primary General LLM

• General reasoning and query understanding
• Response formulation and natural language processing
• Structured JSON output generation

Domain-Specific LLM

• Specialized domain expertise
• Mathematical model validation
• Scientific principle application

Tool-Augmented LLM

• Entity extraction and relationship mapping
• Structure formation and categorization
• Classification and validation tasks

User Experience Features

Interactive Query Interface

• Autocomplete for domain-specific terminology
• Syntax highlighting for technical terms
• Query history and favorites
• Real-time validation feedback

Responsive Design

• Mobile-compatible interface
• Adaptive layout for different screen sizes
• Touch-friendly interactions
• Accessible design patterns

Performance Optimization

• Code splitting and lazy loading
• Service worker for offline capabilities
• Request caching for frequent queries
• Optimized rendering performance

Accessibility

• WCAG AA compliance
• Keyboard navigation support
• Screen reader compatibility
• High contrast and dark mode options

Development Workflow

Component Development

• TypeScript for type safety
• JSDoc documentation for all components
• Comprehensive testing coverage
• Storybook for component documentation

Quality Assurance

• ESLint for code quality
• Prettier for code formatting
• Jest for unit testing
• Cypress for end-to-end testing

Deployment

• Continuous integration with GitHub Actions
• Automated testing and quality checks
• Staging environment for pre-release testing
• Feature flags for gradual rollouts

Future Enhancements

Planned Features

• Advanced visualization tools
• Real-time collaboration capabilities
• Enhanced domain expert management
• Mobile application development

Performance Improvements

• Progressive Web App (PWA) capabilities
• Advanced caching strategies
• WebAssembly integration for computations
• GraphQL for optimized data fetching

Integration Points

The frontend integrates with:

• Backend API: RESTful endpoints for data exchange
• Model Container: Dynamic model loading and management
• Orchestrator: Pipeline coordination and monitoring
• Quality Assessment: Real-time quality metrics
• User Context: Personalization and preferences