Como Construir um Localizador de Arquivos Duplicados Integrado à Nuvem para Mac

Riassunto Semplice

A powerful File Duplicate Finder with Cloud Integration for Mac that streamlines file management and saves storage space across local and cloud environments.

Documento dei Requisiti del Prodotto (PRD)

Goals:

• Create a user-friendly file duplicate finder for Mac
• Integrate with popular cloud storage services
• Provide efficient scanning and accurate duplicate detection
• Offer intuitive file management and deletion options
• Ensure data security and user privacy

Target Audience:

• Mac users with large file collections
• Professionals managing digital assets
• Anyone looking to optimize storage space

Key Features:

1. Local and cloud storage scanning
2. Advanced duplicate detection algorithms
3. File preview and comparison
4. Batch deletion and management options
5. Customizable scan settings
6. Secure cloud integration
7. Progress tracking and notifications
8. Detailed scan reports

User Requirements:

• Easy-to-use interface
• Fast scanning performance
• Accurate duplicate identification
• Secure handling of cloud credentials
• Flexible file management options
• Clear visualizations of storage usage

Flussi Utente

1. Scan Initiation:

   • User logs in and selects storage locations (local/cloud)
   • Configures scan settings
   • Initiates scan and views progress

2. Duplicate Management:

   • User reviews scan results
   • Selects duplicates for action (delete/move/ignore)
   • Confirms actions and sees storage space recovered

3. Cloud Integration:

   • User adds cloud storage account
   • Authorizes app access
   • Selects cloud folders for scanning

Specifiche Tecniche

• Frontend: React for cross-platform compatibility
• Backend: Node.js for efficient file system operations
• Database: PostgreSQL for storing user data and scan results
• Cloud Integration: APIs for major cloud services (Google Drive, Dropbox, iCloud)
• File Hashing: xxHash for fast duplicate detection
• Authentication: JWT for secure user sessions
• API: RESTful design for frontend-backend communication
• Testing: Jest for unit and integration tests
• Deployment: Docker for containerization

Endpoint API

• POST /api/auth/register
• POST /api/auth/login
• GET /api/users/profile
• POST /api/scans/start
• GET /api/scans/{scanId}/status
• GET /api/scans/{scanId}/results
• POST /api/files/action
• POST /api/cloud/connect
• GET /api/cloud/folders

Schema del Database

Users:

• id (PK)
• email
• password_hash
• created_at

Scans:

• id (PK)
• user_id (FK)
• status
• start_time
• end_time

ScanResults:

• id (PK)
• scan_id (FK)
• file_path
• file_hash
• file_size
• is_duplicate

CloudAccounts:

• id (PK)
• user_id (FK)
• provider
• access_token
• refresh_token

Struttura dei File

Piano di Implementazione

1. Project Setup (1-2 days)

   • Initialize React app and Node.js backend
   • Set up PostgreSQL database
   • Configure Docker environment

2. Authentication System (2-3 days)

   • Implement user registration and login
   • Set up JWT authentication

3. Core Scanning Functionality (5-7 days)

   • Develop file system scanning logic
   • Implement duplicate detection algorithm
   • Create scan progress tracking

4. Cloud Integration (4-5 days)

   • Integrate APIs for cloud storage services
   • Implement secure OAuth flow
   • Develop cloud file scanning capabilities

5. User Interface (4-5 days)

   • Design and implement main app screens
   • Create components for file management
   • Develop settings and preferences UI

6. Results Management (3-4 days)

   • Implement duplicate file grouping
   • Create file preview and comparison features
   • Develop batch file actions (delete, move, ignore)

7. Testing and Optimization (3-4 days)

   • Write and run unit and integration tests
   • Perform performance optimization
   • Conduct security audit

8. Deployment and Documentation (2-3 days)

   • Prepare deployment scripts
   • Write user and developer documentation
   • Deploy to production environment

Strategia di Distribuzione

1. Containerization:

   • Package application using Docker for consistency across environments

2. Cloud Hosting:

   • Deploy backend to AWS Elastic Beanstalk or Heroku
   • Use Amazon RDS for managed PostgreSQL database

3. Frontend Hosting:

   • Deploy React app to Amazon S3 with CloudFront for global CDN

4. CI/CD Pipeline:

   • Implement GitHub Actions for automated testing and deployment

5. Monitoring and Logging:

   • Set up AWS CloudWatch or ELK stack for application monitoring
   • Implement error tracking with Sentry

6. Scalability:

   • Use auto-scaling groups for backend servers
   • Implement caching with Redis for improved performance

7. Security:

   • Enable HTTPS with AWS Certificate Manager
   • Implement regular security scans and updates

8. Backup and Recovery:

   • Configure automated database backups
   • Implement disaster recovery plan

Motivazione del Design

The chosen tech stack (React, Node.js, PostgreSQL) offers a balance of performance, scalability, and developer productivity. React provides a responsive and interactive UI, while Node.js excels at file system operations. PostgreSQL offers robust data management for user information and scan results.

Cloud integration is prioritized to expand the app's utility, addressing the growing trend of distributed storage. The file structure separates concerns for easier maintenance and scalability. The implementation plan focuses on core functionality first, followed by cloud features and UI polish, ensuring a solid foundation before adding complexity.

The deployment strategy leverages cloud services for scalability and reliability, with a focus on security and monitoring to protect user data and ensure smooth operation. This approach allows for future growth and feature additions while maintaining a stable and secure platform.