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Homelab Documentation Hub

Homelab Documentation Hub

🏠 A comprehensive AI-powered platform for managing homelab documentation with intelligent content generation, advanced search, and collaborative features.

License Docker Python FastAPI MkDocs

🌟 Features

🤖 AI-Powered Documentation

  • Intelligent Content Generation: OpenAI integration for automated documentation creation
  • Smart Search: AI-enhanced search with contextual understanding
  • Content Suggestions: Automatic content recommendations and improvements
  • Code Generation: AI-assisted code examples and configuration snippets

📚 Comprehensive Documentation Management

  • Multi-Format Support: Markdown, code blocks, tables, and mathematical notation
  • Version Control: Git integration with automatic history tracking
  • Live Preview: Real-time documentation rendering and updates
  • Collaborative Editing: Multi-user support with conflict resolution

🔍 Advanced Search & Navigation

  • Full-Text Search: Instant search across all documentation
  • Category Filtering: Browse by topic, category, or tag
  • Smart Suggestions: AI-powered content recommendations
  • Bookmark System: Save and organize important sections

🛠️ Homelab Integration

  • Network Documentation: Complete network topology and configuration guides
  • Service Management: Document and manage homelab services
  • Hardware Tracking: Keep track of equipment and configurations
  • Automated Backups: Regular documentation backup and versioning

🚀 Quick Start

Option 1: Docker (Recommended)

# Clone the repository
git clone https://github.com/0Reliance/Pozi-0reliance-Lab.git
cd Pozi-0reliance-Lab

# Copy environment configuration
cp .env.example .env

# Edit environment variables
nano .env  # Add your OpenAI API key and other settings

# Start all services
docker-compose -f docker/docker-compose.yml up --build -d

# Access the application
# Web Interface: http://localhost
# Admin Panel: http://localhost/admin
# API Documentation: http://localhost:8001/docs

Option 2: Local Development

# Clone and setup
git clone https://github.com/0Reliance/Pozi-0reliance-Lab.git
cd Pozi-0reliance-Lab

# Create virtual environment
python3 -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt
cd ai-backend
pip install -r requirements.txt
cd ..

# Start services
mkdocs serve --dev-addr=0.0.0.0:8000 &  # Documentation
python ai-backend/main.py &                     # AI Backend

📖 Documentation

For Users

For Developers

For SysAdmins

For Students

🏗️ Architecture

┌─────────────────────────────────────────────────────────────┐
│                    Web Browser                     │
│               ┌───────────────────────┐           │
│               │    Nginx             │           │
│               │  (Reverse Proxy)      │           │
│               └─────────┬─────────────┘           │
│                         │                         │
│               ┌─────────┴─────────────┐           │
│               │   MkDocs               │   AI      │
│               │ (Documentation)         │ Backend  │
│               └─────────┬─────────────┘           │
│                         │                         │
│               ┌─────────┴─────────────┐           │
│               │     Redis               │           │
│               │  (Session/Caching)       │           │
│               └───────────────────────────┘           │
│                                                       │
┌───────────────────────┐              ┌─────────────────────────┐ │
│   File System       │              │   Docker Containers     │ │
│   (Documentation)  │              │   (Service Orchestration)│ │
└───────────────────────┘              └─────────────────────────┘ │
└─────────────────────────────────────────────────────┘

🔧 Configuration

Environment Variables

Create a .env file based on .env.example:

# AI Configuration
OPENAI_API_KEY=your_openai_api_key_here
AZURE_OPENAI_API_KEY=your_azure_key
HUGGINGFACE_API_KEY=your_huggingface_key

# Application Settings
SECRET_KEY=your_secret_key_here
DOMAIN=localhost
REQUIRE_AUTH=false

# Database
REDIS_URL=redis://localhost:6379/0

# File Storage
UPLOAD_FOLDER=./uploads
MAX_FILE_SIZE=10485760

# Security
JWT_SECRET_KEY=your_jwt_secret
FORCE_HTTPS=false

AI Provider Configuration

The platform supports multiple AI providers:

# OpenAI (Default)
OPENAI_API_KEY=sk-...

# Azure OpenAI
AZURE_OPENAI_API_KEY=your_key
AZURE_OPENAI_ENDPOINT=https://your-resource.openai.azure.com/

# Hugging Face
HUGGINGFACE_API_KEY=your_key

# Custom API
CUSTOM_API_URL=https://your-api.com
CUSTOM_API_KEY=your_key

🐳 Docker Deployment

Prerequisites

  • Docker 20.10+
  • Docker Compose 2.0+
  • 4GB+ RAM
  • 10GB+ disk space

Quick Start

# Clone and setup
git clone https://github.com/0Reliance/Pozi-0reliance-Lab.git
cd Pozi-0reliance-Lab

# Configure environment
cp .env.example .env
# Edit .env with your settings

# Deploy
docker-compose -f docker/docker-compose.yml up -d

# Verify deployment
curl http://localhost

Services

Service Image Port Description
nginx nginx 80,443 Reverse proxy and static serving
mkdocs python:3.11-slim 8000 Documentation server
ai-backend python:3.11-slim 8001 AI and API services
redis redis:7-alpine 6379 Session and caching

Production Deployment

For production environments:

# 1. Generate SSL certificates
mkdir -p docker/ssl
openssl req -x509 -nodes -days 365 -newkey rsa:2048 \
  -keyout docker/ssl/privkey.pem -out docker/ssl/fullchain.pem \
  -subj "/C=US/ST=State/L=City/O=Homelab/CN=yourdomain.com"

# 2. Configure production environment
cp .env.example .env
# Edit with production settings

# 3. Deploy with SSL
docker-compose -f docker/docker-compose.prod.yml up -d

🤖 AI Features

Content Generation

  • Documentation Creation: Generate comprehensive guides and tutorials
  • Code Examples: Create working code snippets and examples
  • Configuration Files: Generate configuration templates and examples
  • Best Practices: Suggest improvements and optimizations

Smart Search

  • Natural Language: Search using natural language queries
  • Context Awareness: Understand user intent and context
  • Result Ranking: Intelligent result ranking and filtering
  • Auto-Suggestions: Provide relevant suggestions based on search

Learning Assistant

  • Interactive Chat: AI-powered chat for documentation help
  • Code Explanation: Explain complex code and configurations
  • Troubleshooting: AI-assisted problem diagnosis and resolution
  • Knowledge Base: Build and maintain internal knowledge base

📊 API Documentation

Core Endpoints

Method Endpoint Description Auth Required
GET /api/health Health check No
POST /api/generate Generate content Yes
GET /api/search Search documentation Yes
POST /api/upload Upload file Yes
GET /api/files List files Yes

Authentication

# JWT Token Authentication
curl -H "Authorization: Bearer <token>" http://localhost:8001/api/files

# API Key Authentication
curl -H "X-API-Key: <api_key>" http://localhost:8001/search

Python Client

import requests

# Initialize client
client = HomelabDocsAPI(
    base_url="http://localhost:8001",
    api_key="your_api_key"
)

# Generate content
result = client.generate_content(
    topic="network setup",
    content_type="guide",
    style="technical"
)

# Search documentation
results = client.search(
    query="docker networking",
    filters=["guides", "tutorials"]
)

🧪 Development

Local Setup

# Clone repository
git clone https://github.com/your-org/homelab-docs.git
cd homelab-docs

# Setup Python environment
python3 -m venv venv
source venv/bin/activate

# Install dependencies
pip install -r requirements.txt
pip install -r ai-backend/requirements.txt

# Setup pre-commit hooks
pre-commit install

Project Structure

homelab-docs/
├── docs/                    # Documentation files
├── ai-backend/              # AI backend service
├── docker/                   # Docker configuration
├── scripts/                  # Utility scripts
├── tests/                    # Test files
├── .env.example             # Environment template
├── requirements.txt           # Python dependencies
└── mkdocs.yml              # MkDocs configuration

Testing

# Run all tests
pytest tests/

# Run specific test suite
pytest tests/test_ai_backend.py

# Run with coverage
pytest --cov=ai-backend tests/

Contributing

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

📦 System Requirements

Minimum Requirements

  • CPU: 2 cores, 2.0GHz+
  • RAM: 4GB (8GB recommended)
  • Storage: 10GB free space
  • OS: Linux (Ubuntu 20.04+), macOS (10.15+), Windows 10+

Recommended Requirements

  • CPU: 4 cores, 3.0GHz+
  • RAM: 8GB (16GB for production)
  • Storage: 20GB+ SSD
  • Network: Stable internet connection

Software Requirements

  • Docker: 20.10+ (optional but recommended)
  • Python: 3.8+ (for local development)
  • Git: 2.0+ (for version control)
  • Node.js: 16+ (for frontend development)

🔒 Security

Authentication

  • Multi-factor Authentication: Support for 2FA
  • JWT Tokens: Secure token-based authentication
  • Session Management: Secure session handling with Redis
  • Role-based Access: Different access levels for different users

Data Protection

  • Encryption: Data encryption at rest and in transit
  • Access Control: Fine-grained access control
  • Audit Logging: Comprehensive audit trail
  • Backup Encryption: Encrypted backups for data protection

Network Security

  • SSL/TLS: HTTPS for all communications
  • Rate Limiting: Protection against abuse
  • Input Validation: Comprehensive input validation
  • CSRF Protection: Cross-site request forgery protection

📈 Monitoring and Analytics

Health Monitoring

# Service health check
curl http://localhost:8001/health

# Docker container health
docker-compose -f docker/docker-compose.yml ps

# Resource usage monitoring
docker stats

Logging

  • Structured Logging: JSON-formatted logs for easy parsing
  • Log Levels: Debug, Info, Warning, Error levels
  • Log Rotation: Automatic log rotation to prevent disk issues
  • Centralized Logging: Centralized log management

Performance Metrics

  • Response Time: Track API response times
  • Throughput: Monitor request throughput
  • Error Rates: Track error rates and types
  • Resource Usage: Monitor CPU, memory, and disk usage

🤝 Contributing

We welcome contributions of all types! Please see our Contributing Guidelines for details.

How to Contribute

  1. Report Issues: Found a bug? Report it here
  2. Submit Pull Requests: Fixed a bug or added a feature? Submit a PR
  3. Improve Documentation: Help us improve our documentation
  4. Share Ideas: Have an idea for a new feature? Let us know

Development Areas

  • 🤖 AI Backend: Python, FastAPI, OpenAI integration
  • 📚 Documentation: MkDocs, Material theme
  • 🐳 DevOps: Docker, CI/CD, monitoring
  • 🎨 Frontend: HTML, CSS, JavaScript
  • 🧪 Testing: Python, pytest, integration tests

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

📞 Support

Getting Help

Community

🗺️ Roadmap

Upcoming Features

  • Multi-language Support: Documentation in multiple languages
  • Mobile App: Native mobile applications
  • Offline Mode: Offline documentation access
  • Advanced AI: More sophisticated AI features
  • Integration Hub: Integration with more homelab tools

Planned Enhancements

  • Performance Optimization: Faster search and content generation
  • UI Improvements: Enhanced user interface
  • Security Features: Additional security measures
  • API Extensions: More API endpoints and features

⭐ Star this repository if it helps you!

Made with ❤️ by the Homelab Documentation Team

Built with FastAPI Powered by MkDocs

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An AI-assisted Zero Reliance Mentor (self-hosting, homelab, and small business infrastructure) to guide your learning, exploring, and managing your lab.

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