Technical Specification: Data Upload and Management System

Technical Specification: Data Upload and Management System

Overview

This document provides technical specifications for the Data Upload and Management System implemented in Phase 5 of the Alsaba AI Project. The system enables non-technical users to upload, process, and manage data files through an intuitive web interface.

System Architecture

High-Level Architecture

┌─────────────────┐    ┌──────────────────┐    ┌────────────────────┐
│   Frontend UI   │────│  API Services    │────│   Data Processing  │
│                 │    │                  │    │                    │
│ FileUpload      │    │ File Upload API  │    │ DataProcessing     │
│ DataPreview     │    │ DataSet API      │    │ Service            │
│ Dashboard       │    │ Google Sheets    │    │ FileUpload         │
│ Components      │    │ Integration      │    │ Service            │
└─────────────────┘    └──────────────────┘    │ DataCleaning       │
                                              │ Service            │
                                              └────────────────────┘
                                                        │
                                              ┌────────────────────┐
                                              │   Data Storage     │
                                              │                    │
                                              │ PostgreSQL Database│
                                              │ (uploaded_files,   │
                                              │  data_sets, etc.)  │
                                              └────────────────────┘

Component Diagram

graph TD
    A[Frontend Components] --> B[FileUpload Component]
    A --> C[DataPreview Component]
    A --> D[DataManagement Dashboard]

    B --> E[FileUploadService]
    C --> F[DataProcessingService]
    D --> G[DataSet API Routes]

    E --> H[FileUploadSecurityService]
    E --> I[DataUploadErrorHandler]
    E --> J[LargeFileHandler]

    F --> K[DataCleaningService]
    F --> L[GoogleSheetsIntegration]

    H --> M[Security Validation]
    I --> N[Error Handling]
    J --> O[Performance Optimization]

    G --> P[Database Service]
    P --> Q[PostgreSQL Database]

Frontend Implementation

FileUpload Component

Location: src/shared/components/data/FileUpload.tsx

Key Features

  • Drag-and-drop file upload interface using react-dropzone
  • File validation with size and type restrictions
  • Progress tracking for uploads
  • Support for multiple file selection
  • Responsive design with Tailwind CSS
  • Integration with Toast notifications

Props

interface FileUploadProps {
  onFileUpload: (files: File[]) => Promise<void>;
  acceptedFormats?: string[];
  maxSize?: number; // in bytes
  multiple?: boolean;
}

State Management

  • Tracks uploaded files with status (pending, uploading, success, error)
  • Manages upload progress for large files
  • Handles UI state (isUploading, uploadProgress)

DataPreview Component

Location: src/shared/components/data/DataPreview.tsx

Key Features

  • Tabular data display with pagination
  • Column sorting capabilities
  • Responsive design for different screen sizes
  • Integration with UI components (Card, Table)

Props

interface DataPreviewProps {
  data: ProcessedData;
  onSort?: (column: string, direction: 'asc' | 'desc') => void;
  onPageChange?: (page: number) => void;
  currentPage?: number;
  pageSize?: number;
}

DataManagementDashboard Component

Location: src/shared/components/data/DataManagementDashboard.tsx

Key Features

  • Dashboard view of all uploaded datasets
  • CRUD operations for datasets
  • Search and filtering capabilities
  • Integration with Next.js routing

Backend Services

FileUploadService

Location: src/lib/data/services/FileUploadService.ts

Responsibilities

  • Handle file upload processing
  • Validate file types and sizes
  • Integrate with security services
  • Manage database records for uploaded files
  • Coordinate with data processing services

Key Methods

  • processFileUpload(userId: string, file: File, buffer: Buffer): Promise<UploadResult>
  • processGoogleSheetsUpload(userId: string, sheetId: string, data: any[]): Promise<UploadResult>

DataProcessingService

Location: src/lib/data/services/DataProcessingService.ts

Responsibilities

  • Parse different file formats (CSV, Excel, Google Sheets)
  • Generate data previews
  • Handle data type detection
  • Process large datasets efficiently

Key Methods

  • processCSV(fileBuffer: Buffer, options?: any): Promise<ProcessedData>
  • processExcel(fileBuffer: Buffer, options?: any): Promise<ProcessedData>
  • processGoogleSheets(data: any[]): Promise<ProcessedData>
  • generatePreview(data: any[], maxRows?: number): DataPreview

DataCleaningService

Location: src/lib/data/services/DataCleaningService.ts

Responsibilities

  • Detect and remove duplicate rows
  • Handle missing values
  • Standardize data formats
  • Apply data transformation rules

Key Methods

  • removeDuplicates(data: any[]): any[]
  • handleMissingValues(data: any[], strategy: string): any[]
  • standardizeFormats(data: any[]): any[]
  • applyTransformations(data: any[], rules: TransformationRule[]): any[]

FileUploadSecurityService

Location: src/lib/security/FileUploadSecurityService.ts

Responsibilities

  • Validate file uploads for security
  • Sanitize filenames
  • Scan for malware (placeholder implementation)
  • Enforce file size and type restrictions

Key Methods

  • validateFileUpload(file: File): FileSecurityCheck
  • sanitizeFilename(filename: string): string
  • scanForMalware(fileBuffer: Buffer): Promise<FileSecurityCheck>

LargeFileHandler

Location: src/lib/performance/LargeFileHandler.ts

Responsibilities

  • Handle chunked uploads for large files
  • Track upload progress
  • Manage memory usage during large file processing
  • Implement retry mechanisms

Key Methods

  • uploadFileInChunks(file: File, uploadUrl: string, onProgress?: (progress: UploadProgress) => void): Promise<boolean>
  • createChunks(file: File): ChunkInfo[]
  • generatePerformanceReport(fileName: string, fileSize: number, uploadDuration: number, chunksTotal: number, chunksSuccessful: number): string

API Endpoints

File Upload API

Location: src/app/api/data/upload/route.ts

Endpoints

  • POST /api/data/upload - Handle file uploads
  • POST /api/data/upload/chunk - Handle chunked file uploads

Request/Response Format

// Upload Request
interface UploadRequest {
  file: File;
  userId: string;
}

// Upload Response
interface UploadResponse {
  fileId: string;
  fileName: string;
  fileSize: number;
  fileType: string;
  status: 'success' | 'error';
  message?: string;
  preview?: DataPreview;
}

DataSet API

Location: src/app/api/data/sets/route.ts

Endpoints

  • GET /api/data/sets - List all data sets for a user
  • POST /api/data/sets - Create a new data set
  • GET /api/data/sets/[id] - Get a specific data set
  • PUT /api/data/sets/[id] - Update a data set
  • DELETE /api/data/sets/[id] - Delete a data set

Google Sheets Integration API

Location: src/app/api/data/import/google-sheets/route.ts

Endpoints

  • POST /api/data/import/google-sheets - Import data from Google Sheets

Database Schema

Uploaded Files Table

CREATE TABLE uploaded_files (
  id UUID PRIMARY KEY,
  user_id UUID REFERENCES users(id) NOT NULL,
  original_name VARCHAR(255) NOT NULL,
  file_name VARCHAR(255) NOT NULL,
  file_type VARCHAR(50) NOT NULL,
  size BIGINT NOT NULL,
  upload_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
  status VARCHAR(20) DEFAULT 'uploaded',
  error_message TEXT,
  data_set_id UUID REFERENCES data_sets(id),
  created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
  updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);

Data Sets Table

CREATE TABLE data_sets (
  id UUID PRIMARY KEY,
  user_id UUID REFERENCES users(id) NOT NULL,
  name VARCHAR(255) NOT NULL,
  description TEXT,
  source_type VARCHAR(50) NOT NULL,
  source_id VARCHAR(255),
  row_count INTEGER,
  column_count INTEGER,
  preview JSONB,
  created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
  updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);

Data Set Columns Table

CREATE TABLE data_set_columns (
  id UUID PRIMARY KEY,
  data_set_id UUID REFERENCES data_sets(id) NOT NULL,
  name VARCHAR(255) NOT NULL,
  data_type VARCHAR(50) NOT NULL,
  sample_values JSONB,
  created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
  updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);

Error Handling

Error Types

  • File validation errors
  • Upload processing errors
  • Data parsing errors
  • Security validation errors
  • Network errors
  • Database errors

Error Handler Service

Location: src/lib/error-handling/DataUploadErrorHandler.ts

Features

  • Categorize errors by severity (low, medium, high)
  • Provide user-friendly error messages
  • Implement retry mechanisms
  • Log errors for debugging
  • Generate error reports

Performance Optimization

Memory Management

  • Implementation of AdvancedMemoryManager for monitoring and cleanup
  • Chunked processing for large files
  • Caching of processed data
  • Lazy loading of data previews

Upload Optimization

  • Chunked uploads for files larger than 5MB
  • Concurrent chunk processing (configurable)
  • Progress tracking with estimated time remaining
  • Automatic retry mechanisms

Data Processing Optimization

  • Pagination for large datasets
  • Efficient data parsing algorithms
  • Memory-efficient data structures
  • Background processing for intensive operations

Security Measures

File Upload Security

  • File type validation on both client and server
  • File size limits enforcement
  • Filename sanitization
  • Malware scanning integration (placeholder)
  • Directory traversal prevention

Data Privacy

  • Encryption of sensitive data
  • Access controls based on user permissions
  • Audit logging for data access
  • Data retention and cleanup policies

API Security

  • Authentication and authorization checks
  • Rate limiting to prevent abuse
  • Input validation and sanitization
  • Secure error handling without information leakage

Testing Strategy

Unit Tests

  • File upload component functionality
  • Data processing service methods
  • Security validation functions
  • Error handling scenarios

Integration Tests

  • End-to-end upload flow
  • Data processing pipeline
  • Google Sheets integration
  • Database operations

Performance Tests

  • Upload speed for different file sizes
  • Memory usage during processing
  • Concurrent upload handling
  • Large dataset processing

Security Tests

  • File type validation bypass attempts
  • Security scanning effectiveness
  • Access control verification
  • Data privacy compliance

Deployment Considerations

Environment Variables

  • MAX_FILE_SIZE - Maximum allowed file size
  • ALLOWED_FILE_TYPES - Comma-separated list of allowed MIME types
  • CHUNK_SIZE - Size of chunks for large file uploads
  • ENABLE_MALWARE_SCANNING - Flag to enable malware scanning

Scaling Considerations

  • Horizontal scaling of API services
  • Load balancing for upload processing
  • CDN integration for file storage
  • Database connection pooling

Monitoring and Logging

  • Performance metrics collection
  • Error rate monitoring
  • User activity logging
  • System health checks

Dependencies

Frontend Dependencies

  • react-dropzone - Drag and drop file upload
  • framer-motion - Animations and transitions
  • lucide-react - Icon components
  • tailwindcss - Styling framework

Backend Dependencies

  • papaparse - CSV parsing
  • exceljs - Excel file processing
  • multer - File upload handling
  • uuid - Unique identifier generation

Development Dependencies

  • jest - Testing framework
  • playwright - End-to-end testing
  • typescript - Type checking
  • eslint - Code linting

Future Enhancements

Planned Features

  • Real-time collaboration on data sets
  • Advanced data visualization options
  • Automated data quality checks
  • Integration with more data sources
  • Enhanced machine learning capabilities

Performance Improvements

  • Streaming data processing
  • More efficient memory management
  • Improved caching strategies
  • Better parallel processing

Security Enhancements

  • Full malware scanning integration
  • Advanced access control policies
  • Data encryption at rest
  • Compliance with additional regulations

This document was last updated on October 2025. For implementation details, refer to the source code in the repository.