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Linux Command Library (Web API)

A modern, high-performance web API server for Linux command reference, built with Rust and inspired by the original Kotlin project. This implementation provides a complete REST API with enhanced features and a beautiful, responsive web interface.

πŸš€ Features

Core Functionality

  • 7680+ Linux Commands: Complete database of Linux manual pages and commands
  • Advanced Search: Full-text search with auto-completion and suggestions
  • Categorized Browsing: 23+ categories from System to Text Editors
  • Random Tips: Daily Linux tips and tricks
  • TLDR Support: Quick command summaries for busy users

API Features

  • RESTful Design: Clean, intuitive API endpoints
  • Comprehensive Error Handling: Detailed error responses with proper HTTP status codes
  • Request Validation: Input validation and sanitization
  • Rate Limiting Ready: Infrastructure for rate limiting (easily add middleware)
  • CORS Support: Configurable Cross-Origin Resource Sharing

Technical Improvements

  • High Performance: Built with Rust and Actix-web for maximum speed
  • Proper Error Handling: Custom error types with detailed error messages
  • Comprehensive Logging: Structured logging with different levels (debug, info, warn, error)
  • Database Schema Validation: Automatic validation of database structure on startup
  • Environment Configuration: Flexible configuration via environment variables
  • Modern Frontend: Responsive, accessible web interface with dark mode support

πŸ“‹ API Endpoints

Core Endpoints

GET  /health                    # Health check
GET  /api/stats                 # Application statistics
GET  /api/categories            # List all categories
GET  /api/categories/detailed   # Categories with descriptions and icons

Search Endpoints

GET  /api/search?q=query        # Search commands
GET  /api/suggestions?q=query   # Auto-completion suggestions
GET  /api/popular               # Popular commands

Command Endpoints

GET  /api/commands/{id}         # Get command details
GET  /api/category/{name}       # Commands by category
GET  /api/random-tip           # Get random Linux tip

Frontend

GET  /                          # Serve web interface

πŸ› οΈ Installation & Setup

Prerequisites

  • Rust 1.70+ (for local development)
  • Docker & Docker Compose (for containerized deployment - recommended)

Quick Start with Docker (Recommended)

The easiest way to run the application is using Docker. The database is automatically downloaded during the build process.

# Clone the repository
git clone <repository-url>
cd LinuxCommandLibrary

# Build and run with docker-compose
docker-compose up -d

# Or build and run manually
docker build -t linux-command-library .
docker run -p 8080:8080 linux-command-library

Access the application at http://localhost:8080

Local Development Setup

# Clone the repository
git clone <repository-url>
cd LinuxCommandLibrary

# Download the database (if not present)
wget https://github.com/SimonSchubert/LinuxCommandLibrary/raw/master/assets/database.db

# Build the project
cargo build --release

# Run with default settings
./target/release/LinuxCommandLibrary

# Or with custom configuration
DATABASE_PATH=custom.db SERVER_ADDR=0.0.0.0:3000 ./target/release/LinuxCommandLibrary

Environment Variables

  • DATABASE_PATH: Path to SQLite database (default: database.db)
  • SERVER_ADDR: Server bind address (default: 0.0.0.0:8080)
  • ENABLE_CORS: Enable CORS support (default: true)
  • RUST_LOG: Log level (default: info)

🐳 Docker Deployment

Using Docker Compose (Recommended)

docker-compose up -d

Manual Docker Commands

# Build the image
docker build -t linux-command-library .

# Run the container
docker run -d \
  --name linux-command-library \
  -p 8080:8080 \
  -e RUST_LOG=info \
  linux-command-library

# View logs
docker logs -f linux-command-library

# Stop the container
docker stop linux-command-library

Docker Features

  • Multi-stage build: Optimized image size
  • Automatic database download: No manual database setup required
  • Health checks: Built-in health monitoring
  • Alpine-based: Minimal image footprint (~50MB)
  • Production-ready: Includes proper signal handling and graceful shutdown

πŸ’» Frontend Interface

The web interface has been completely redesigned with modern features and enhanced user experience:

Modern Design Features

  • Responsive Layout: Works perfectly on desktop, tablet, and mobile
  • Dark Mode Support: Automatic dark/light theme switching with smooth transitions
  • Smooth Animations: Subtle transitions and hover effects
  • Accessibility: Proper ARIA labels and keyboard navigation
  • SEO Optimized: Meta tags and structured data
  • Print-Friendly: Optimized print styles for documentation

Enhanced Search Experience

  • Smart Search: Real-time search with debouncing
  • Search History: Stores last 10 searches with quick access
  • Clear Button: One-click search field clearing
  • Keyboard Shortcuts: Press / to quickly focus search
  • Search Indicators: Visual feedback during search

Navigation Enhancements

  • URL Routing: Hash-based routing for shareable URLs
  • Breadcrumb Navigation: Clear navigation path in category views
  • Back to Top: Floating button appears when scrolling down
  • A-Z Navigation: Quick alphabetical jump for command list

Command Details Modal

  • Copy Actions: Copy command name, share link, copy sections
  • Section Management: Individual copy buttons for each section
  • Share Functionality: Native share API support with fallback
  • Keyboard Navigation: Full keyboard support with Esc to close
  • Focus Management: Proper focus restoration when closing

User Experience Features

  • Toast Notifications: Modern toast messages for actions
  • Loading States: Skeleton loaders and spinners
  • Empty States: Helpful messages when no results found
  • Category Icons: Visual category representation with Lucide icons
  • Smooth Scrolling: Enhanced scroll behavior throughout

Performance Optimizations

  • Debounced Search: Prevents excessive API calls (200ms delay)
  • Lazy Icon Loading: Icons loaded only when needed
  • LocalStorage: Efficient caching of search history and theme
  • Optimized Icons: Using Lucide icon library for consistency
  • Progressive Enhancement: Core functionality works without JavaScript

πŸ”§ Technical Architecture

Backend Architecture

  • Framework: Actix-web (async, high-performance)
  • Database: SQLite with connection pooling
  • Error Handling: Custom error types with proper HTTP responses
  • Logging: Structured logging with env_logger
  • Configuration: Environment-based configuration

Data Models

// Enhanced command model with TLDR support
struct CommandDetail {
    id: i64,
    name: String,
    category: String,  // Translated from numeric category
    description: String,
    sections: Vec<CommandSection>,
    tldr: Option<String>,  // Quick summary
}

// Category information with descriptions and icons
struct BasicCategory {
    id: i64,
    title: String,
    position: i64,
    description: Option<String>,
    icon: Option<String>,
}

Error Handling

The application implements comprehensive error handling:

  • Database Errors: Proper SQLite error handling
  • Validation Errors: Input validation with clear messages
  • Not Found Errors: Graceful handling of missing resources
  • Internal Errors: Server errors with appropriate logging

πŸ“Š Performance

Benchmarks

  • Response Time: Sub-100ms response times for most endpoints
  • Memory Usage: Efficient memory management with Rust
  • Concurrent Requests: Handles thousands of concurrent connections
  • Database Queries: Optimized queries with proper indexing

Optimizations

  • Connection Pooling: Efficient database connection management
  • Query Optimization: Indexed database queries
  • Response Caching: Infrastructure for response caching
  • Async Processing: Non-blocking I/O operations

πŸ§ͺ Testing

Run the test suite:

cargo test

Run with coverage:

cargo tarpaulin --out Html

πŸ” Database Schema

The application uses the following database schema (based on the original Kotlin project):

Tables

  • Command: Main command information
  • CommandSection: Detailed command sections (SYNOPSIS, DESCRIPTION, etc.)
  • Tip: Linux tips and tricks
  • TipSection: Tip content sections
  • BasicCategory: Command categories for browsing
  • BasicGroup: Command groups within categories
  • BasicCommand: Basic command examples

Sample Data

-- Commands table
CREATE TABLE Command (
    id INTEGER PRIMARY KEY,
    category INTEGER NOT NULL,
    name TEXT NOT NULL,
    description TEXT NOT NULL
);

-- Command sections (TLDR, SYNOPSIS, DESCRIPTION, OPTIONS, etc.)
CREATE TABLE CommandSection (
    id INTEGER PRIMARY KEY,
    title TEXT NOT NULL,
    content TEXT NOT NULL,
    command_id INTEGER NOT NULL
);

πŸ”§ Development

Project Structure

LinuxCommandLibrary/
β”œβ”€β”€ src/
β”‚   β”œβ”€β”€ main.rs           # Main application file
β”‚   └── index.html        # Web interface
β”œβ”€β”€ Cargo.toml            # Rust dependencies
β”œβ”€β”€ database.db           # SQLite database
└── README.md

Adding New Features

  1. API Endpoints: Add new route handlers in main.rs
  2. Data Models: Define new structs with proper serialization
  3. Database Queries: Add prepared statements with error handling
  4. Frontend: Update index.html with new JavaScript functions

Code Style

  • Follow Rust naming conventions
  • Use meaningful variable and function names
  • Add comments for complex logic
  • Handle all error cases explicitly

πŸ“š API Documentation

Response Format

All API responses follow a consistent format:

{
    "success": true,
    "data": { ... },
    "message": null
}

Error Responses

{
    "success": false,
    "data": null,
    "message": "Error description"
}

Example Requests

Search Commands:

curl "http://localhost:8080/api/search?q=grep"

Get Command Details:

curl "http://localhost:8080/api/commands/123"

Get Categories:

curl "http://localhost:8080/api/categories/detailed"

🀝 Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Add tests for new functionality
  5. Ensure all tests pass
  6. Submit a pull request

πŸ“„ License

This project is licensed under the Apache License 2.0 - see the original Kotlin project for details.

πŸ™ Acknowledgments

  • Original Kotlin project by Simon Schubert
  • Linux manual page contributors
  • Rust and Actix-web communities

πŸ“ž Support

For issues and questions:

  1. Check the existing issues
  2. Create a new issue with detailed information
  3. Include steps to reproduce any bugs

Thanks for origin

Built with ❀️ using Rust and inspired by the original Kotlin project