RecordCollector--Implemented
3rd Iteration Implementation
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
Navigation System
- 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
- 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)
- Additional LLM Providers :
- OpenAI GPT-4 integration
- Anthropic Claude integration
- Local model support
- Advanced Prompt Management :
- Prompt templates library
- Prompt versioning
- A/B testing for prompts
- Batch Processing Improvements :
- Progress tracking with detailed status
- Retry mechanisms for failed requests
- Rate limiting and queue management
- Result Analysis :
- Sentiment analysis
- Key insights extraction
- Comparative analysis between records
- Splash Screen
- An awesome splash screen to wow clients
Phase 3 Enhancement Roadmap
Planned Features
- Real Remote Integration :
- CRM system connectors (Salesforce, HubSpot)
- Database connectors (PostgreSQL, MySQL)
- API endpoint configuration
- Advanced Export Options :
- Multiple format support (JSON, XML, Excel)
- Custom field mapping
- Scheduled exports
- 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