RecordCollector - Data Import and Management Microfrontend

Executive Summary

Purpose

2. Background & Motivation

Problem Statement

Current Limitations

• Disconnected data import and augmentation processes
• Steep learning curve for non-technical users
• Limited support for data transformation before augmentation
• Lack of standardized API access to prepared data

3. Goals & Non-Goals

Goals

1. Provide a user-friendly interface for importing and managing customer data
2. Support multiple data sources including CSV files and API connections
3. Enable basic data transformations and field manipulations
4. Offer API access to prepared data records
5. Generate documentation for data consumers
6. Maintain data integrity and security

Non-Goals

1. Complex ETL (Extract, Transform, Load) operations
2. Direct database connections (v1)
3. Advanced data visualization
4. Real-time collaboration features

4. Technical Design

High-Level Architecture

Component Structure

1. Core Components
   • RecordList: Displays and manages the list of records
   • RecordDetail: Shows detailed view of a single record
   • DataSourceToolbar: Contains import/export and connection controls
   • SearchFilter: Enables searching and filtering of records
2. Data Import Components
   • CSVImporter: Handles CSV file uploads and parsing
   • APIConnector: Manages API-based data connections
   • DataPreview: Shows preview of data before import
3. Utility Components
   • DataTransformer: Provides data transformation tools
   • FieldMapper: Maps and renames data fields
   • DocumentationGenerator: Creates API documentation

Data Flow

1. Data is imported via CSV or API connection
2. Records are validated and normalized
3. Data is stored in the Zustand store
4. UI components react to store changes
5. Data is made available for augmentation and export

State Management

interface RecordCollectorState {
  records: Record[];
  selectedRecord: Record | null;
  searchQuery: string;
  isLoading: boolean;
  error: string | null;
  
  // Actions
  addRecords: (records: Record[]) => void;
  deleteRecord: (id: string) => void;
  deleteAllRecords: () => void;
  setSelectedRecord: (record: Record | null) => void;
  updateRecord: (id: string, updates: Partial<Record>) => void;
}

5. Implementation Plan

Phase 1: Core Functionality (Completed)

• CSV import with validation
• Basic record management (CRUD operations)
• Search and filter capabilities
• Responsive UI with mobile support

Phase 2: Advanced Features (In Progress)

• API-based data source connections
• Field mapping and transformation
• Synthetic property creation
• API documentation generation

Phase 3: Integration & Polish

• Deep linking for shared records
• PDF export of API documentation
• Performance optimizations
• Comprehensive test coverage

6. API Specifications

Endpoints

• GET /api/records - List all records
• GET /api/records/:id - Get a single record
• POST /api/import/csv - Import records from CSV
• POST /api/import/api - Import records from external API
• GET /api/docs - Get API documentation

Example Request

// Get all records
fetch('/api/records')
  .then(response => response.json())
  .then(data => console.log(data));

7. Error Handling

Expected Error Cases

1. Import Errors
   • Invalid file format
   • Missing required fields
   • Data type mismatches
2. API Errors
   • Connection timeouts
   • Authentication failures
   • Rate limiting
3. Data Validation
   • Duplicate records
   • Malformed data
   • Required field validation

8. Security Considerations

1. Data Protection
   • Client-side data validation
   • Input sanitization
   • Secure API communication (HTTPS)
2. Access Control
   • Authentication requirements
   • Role-based access control (future)
   • API key management

9. Performance Considerations

1. Client-Side
   • Virtualized lists for large datasets
   • Debounced search inputs
   • Memoized components
2. Server-Side
   • Pagination for large result sets
   • Caching strategies
   • Efficient data serialization

10. Appendix

Glossary

• Microfrontend: A self-contained section of a frontend application
• Zustand: Lightweight state management solution
• CSV: Comma-Separated Values file format

Dependencies

• React 18+
• Next.js 14
• TypeScript 5+
• Tailwind CSS
• Zustand

Revision History

• 1.0.0 (2025-08-11): Initial specification
• 0.5.0 (2025-07-15): Core functionality implemented
• 0.1.0 (2025-02-22): Initial draft and first implementation

Integration with Other Rmotes

• Communicates with the parent component through the onOpenDataModel prop
• Interacts with the global state to update selected records
• Works in conjunction with other components like DataModelModal