RecordCollector--Implemented

3rd Iteration Implementation

Zustand NEXT.js React
TagCards Completion Bar, Status Bar, Progress Bar

Project Overview

The Data Augmenter is a comprehensive React/Next.js application designed to import, manage, augment, and export customer data with AI-powered insights. The application follows a three-phase workflow: Import, Augment, and Export.

Three-Phase Architecture

Phase 1: Import

  • Purpose: Data ingestion and management
  • Components: Record Collector, CSV Import, Data Source Connector
  • Features: File upload, data validation, record management, search/filter

Phase 2: Augment  

  • Purpose: AI-powered data enhancement
  • Components: AI Configuration, Record Selection, Augmentation Engine
  • Features: LLM integration, custom prompts, batch processing

Phase 3: Export

  • Purpose: Data export and remote integration
  • Components: Export Interface, Record Selection, Remote Push
  • Features: Selective export, remote API integration, data formatting

Phase 1

Core Application Structure

  • Next.js 14 with App Router
  • Tailwind CSS for styling
  • Zustand for state management
  • Responsive design with mobile-first approach
  • Global Navigation Bar with three main sections:
  - Record Collector (Home)
  - Augment (AI Analysis)
  - Export (Data Export)
  • Active state indicators and smooth transitions

Phase 1: Import & Record Management

  • CSV Import System:
  - Drag-and-drop file upload
  - CSV parsing with proper field handling
  - Data validation and error handling
  - Automatic ID generation for records
  - Support for quoted fields and special characters
  • Record Display:
  - Modern card-based layout
  - Search functionality with real-time filtering
  - Individual record selection and deletion
  - Bulk operations (select all, delete all)
  • Statistics Dashboard:
  - Total Records count
  - AI Augmented records tracking
  - Real-time updates
  • Data Export:
  - CSV export with augmentation data
  - Comprehensive data formatting
  - Timestamp tracking

Phase 2: AI Augmentation (Partially Implemented)

  • Record Selection Interface:
  - Multi-select functionality
  - Visual selection indicators
  - Batch selection controls
  • Perplexity AI Integration:
  - API key management with show/hide toggle
  - Custom prompt editor with placeholder support
  - Deep Research and Sonar Pro toggles
  - Real API vs. Simulation mode toggle
  • Augmentation Engine:
  - Placeholder replacement system
  - Batch processing with progress tracking
  - Error handling and retry logic
  - Result storage in Zustand store
  • Results Display:
  - Individual result viewing, as if viewing a GitHub commit
  - Markdown rendering
  - Copy functionality
  - Download all results as markdown

Phase 3: Export (Partially Implemented)

  • Export Interface:
  - Record selection for export
  - Visual distinction between augmented and non-augmented records
  - Statistics dashboard
  - Push to remote functionality (simulated)

Phase 2 Enhancement Roadmap

Planned Features

  1. Custom Data Properties
   - Be able to reference data in prompt using @ like Cursor (e.g: Search for their @address)
   - Generate new properties (e.g: profit, market_share, etc)
  1. Additional LLM Providers:
   - OpenAI GPT-4 integration
   - Anthropic Claude integration
   - Local model support
  1. Advanced Prompt Management:
   - Prompt templates library
   - Prompt versioning
   - A/B testing for prompts
  1. Batch Processing Improvements:
   - Progress tracking with detailed status
   - Retry mechanisms for failed requests
   - Rate limiting and queue management
  1. Result Analysis:
   - Sentiment analysis
   - Key insights extraction
   - Comparative analysis between records
  1. Splash Screen
   - An awesome splash screen to wow clients

Phase 3 Enhancement Roadmap

Planned Features

  1. Real Remote Integration:
   - CRM system connectors (Salesforce, HubSpot)
   - Database connectors (PostgreSQL, MySQL)
   - API endpoint configuration
  1. Advanced Export Options:
   - Multiple format support (JSON, XML, Excel)
   - Custom field mapping
   - Scheduled exports
  1. Data Transformation:
   - Field mapping and transformation
   - Data validation rules
   - Custom computed fields

Data Source Connector System (Future Implementation)

Specification

The DataSourceConnector will provide:
  • API Configuration Interface:
  - Provider name and URL
  - API key management
  - URL formatter with variable interpolation
  - Example connection code
  • Query Support:
  - SQL query builder
  - GraphQL query interface
  - REST API endpoint configuration
  • Data Processing:
  - Response parsing and validation
  - Field mapping and transformation
  - Error handling and retry logic
  • Visual Elements:
  - Provider favicon and app icon display
  - Connection status indicators
  - Data preview functionality

Deployment and Distribution

Current Setup

  • Development: Local Next.js development server
  • Build System: Next.js build optimization
  • Static Assets: Optimized images and fonts

Future Deployment

  • Vercel: Production deployment platform
  • Docker: Containerized deployment
  • CDN: Global content delivery
  • Monitoring: Performance and error monitoring