Frontend Components

This document provides detailed information about each frontend component in the Four-Sided Triangle application.

Query Component

The Query Component handles user input and transforms natural language queries into structured data for processing.

Core Functions

Query Processing

• Query Reception: Captures user input through an intuitive interface
• Query Preprocessing: Standardizes text, corrects spelling, normalizes terminology
• Intent Classification: Determines query type (informational, computational, comparative)
• Context Incorporation: Enriches queries with user history and preferences
• Query Validation: Ensures queries meet processing requirements
• Query Packaging: Prepares structured data for downstream components

Key Features

• Syntax highlighting for technical terms
• Real-time query validation
• Autocomplete for domain-specific terminology
• Query history and favorites functionality
• Export capabilities for query results

Data Flow

• Input: Raw user text from UI
• Processing: LLM-based analysis for structure and intent
• Output: Structured query object with metadata

LLM Integration

• Uses Primary General LLM for intent detection
• Generates multiple interpretations for confidence scoring
• Implements structured JSON output for downstream processing

Modeler Component

The Modeler Component transforms unstructured queries into structured entity-relationship models.

Core Functions

Conceptual Modeling

• Entity Extraction: Identifies domain-relevant objects and concepts
• Relationship Mapping: Determines connections between entities
• Parameter Identification: Extracts measurable attributes
• Constraint Recognition: Identifies limitations and conditions
• Model Integration: Synthesizes components into coherent models
• Domain Knowledge Preparation: Formulates specialized queries

Domain Knowledge Integration

• Knowledge Retrieval: Requests domain-specific information
• Formula Identification: Retrieves mathematical relationships
• Model Refinement: Enhances models with domain expertise
• Parameter Relationship Mapping: Clarifies parameter interactions
• Confidence Assessment: Evaluates model completeness

Implementation Files

• entityExtraction.js: Handles entity identification
• relationshipMapping.js: Manages entity relationships
• parameterIdentification.js: Extracts query parameters
• modelIntegration.js: Synthesizes model components
• modelValidation.js: Validates model completeness

Data Transformation

• Input: Structured query from Query Component
• Processing: Multi-LLM analysis and domain enhancement
• Output: Comprehensive knowledge model with relationships

Solver Component

The Solver Component handles reasoning and solution generation for complex queries.

Core Functions

Reasoning Functions

• Solution Strategy Selection: Determines optimal problem-solving approach
• Multi-path Reasoning: Explores multiple solution approaches
• Parameter Analysis: Evaluates parameter interactions
• Formula Application: Applies domain-specific formulas
• Evidence Gathering: Collects supporting information
• Uncertainty Management: Handles knowledge limitations
• Reasoning Validation: Checks logical consistency

Response Generation

• Answer Formulation: Creates comprehensive responses
• Evidence Organization: Structures supporting information
• Visualization Planning: Identifies chart/diagram opportunities
• Alternative Perspectives: Explores different viewpoints
• Response Variations: Creates multiple response versions
• Response Selection: Evaluates and selects optimal responses

Implementation Files

• solver.ts: Main solver logic and coordination
• reasoner.ts: Reasoning strategy implementation

Data Processing

• Input: Structured knowledge model from Modeler
• Processing: Multi-LLM reasoning and validation
• Output: Solution package with evidence and alternatives

Interpreter Component

The Interpreter Component transforms technical solutions into user-friendly explanations.

Core Functions

Response Interpretation

• Technical Translation: Converts domain terms to appropriate level
• Narrative Construction: Builds cohesive explanatory flow
• Clarity Enhancement: Improves explanation readability
• Visual Element Integration: Incorporates charts and diagrams
• Response Structure Organization: Organizes logical sections
• Contextual Adaptation: Adjusts based on user context

Quality Assessment

• Accuracy Verification: Checks factual correctness
• Completeness Evaluation: Verifies all aspects addressed
• Clarity Assessment: Evaluates comprehensibility
• Relevance Confirmation: Ensures response addresses query
• Bias Detection: Identifies and addresses potential biases
• Quality Scoring: Generates quality metrics

Implementation

• interpreter.ts: Main interpretation logic

Processing Flow

• Input: Solution package from Solver Component
• Processing: Translation, verification, and formatting
• Output: User-facing response with quality metrics

Result Component

The Result Component displays comprehensive results with rich visualizations and interactions.

Core Functions

Result Display

• Interactive result exploration interface
• Confidence scoring and uncertainty visualization
• Multi-format export functionality (JSON, CSV, PDF)
• Comparison views for multiple solutions
• Historical result tracking

Visualization Features

• Dynamic charts and graphs
• Interactive parameter exploration
• Confidence interval displays
• Uncertainty indicator visualization
• Comparative analysis tools

Implementation

• ResultComponent.js: Main result display logic
• evaluator.ts: Result evaluation and metrics

User Interactions

• Input: Interpreted solution from Interpreter Component
• Display: Rich visualizations and interactive elements
• Export: Multiple format options for result sharing

Domain Expert Component

The Domain Expert Component manages the selection and interaction with specialized domain models.

Core Functions

Expert Selection

• Visual interface for model selection
• Model capability descriptions
• Confidence score visualization
• Performance metrics display
• Model comparison tools

Expert Management

• Model loading and initialization
• Resource allocation and monitoring
• Performance tracking
• Feedback collection
• Model recommendation system

Implementation

• DomainExpertSelector.tsx: Visual selection interface
• DomainExpertsManager.ts: Backend integration and management

Cross-Component Integration

Data Flow Architecture

The components work together in a sophisticated pipeline:

1. Query → Modeler: Query intent and preprocessed text
2. Modeler → Solver: Entity-relationship model with parameters
3. Solver → Interpreter: Solution package with reasoning
4. Interpreter → Result: Formatted response with quality metrics

State Management

• Session-based state management across components
• Real-time updates and synchronization
• Error handling and recovery mechanisms
• Performance monitoring and optimization

API Integration

• RESTful endpoints for backend communication
• Real-time WebSocket connections for updates
• Caching mechanisms for performance
• Error handling and retry logic

Best Practices

Component Development

• Follow TypeScript best practices
• Implement comprehensive error boundaries
• Use React hooks for state management
• Maintain clear component interfaces

Performance Optimization

• Implement lazy loading for heavy components
• Use React.memo for expensive computations
• Optimize re-rendering with useCallback and useMemo
• Monitor performance with React DevTools

Testing Strategy

• Unit tests for individual component functions
• Integration tests for component interactions
• End-to-end tests for complete workflows
• Performance testing for optimization