README

An intelligent DJ automation component for Conduit that provides beatmatching, smart queue management, and AI-driven music curation powered by Laravel Prism.

🚀 Features

🎵 Intelligent Beatmatching: Analyzes BPM and key compatibility for seamless transitions
🤖 AI-Powered Curation: Uses Laravel Prism to understand music moods and create intelligent playlists
📊 Smart Queue Management: Builds progressive queues based on energy, mood, and user preferences
🎯 Auto-DJ Modes: Pre-configured modes for different scenarios (party, focus, chill, workout)
📈 Learning System: Integrates with conduit-knowledge to learn from your music preferences
🔊 Real-Time Analysis: Track compatibility scoring and transition optimization
🎮 Event-Driven: Responds to track changes and user behavior

📦 Installation

Via Conduit (Recommended)

conduit install dj

Via Composer

composer global require jordanpartridge/conduit-dj

Requirements

PHP 8.2+
Conduit 2.0+
conduit-spotify (with event dispatching)
conduit-knowledge
Spotify Premium account

🎮 Usage

Start DJ Session

# Start with default party mode
conduit dj start

# Start with specific mode and duration
conduit dj start --mode=focus --duration=120

# Start with target energy level
conduit dj start --energy=80

Control Commands

# Check current status
conduit dj status

# Analyze current track
conduit dj analyze

# View smart queue
conduit dj queue

# Stop session
conduit dj stop

Auto-DJ Modes

# Party mode - High energy, crowd pleasers
conduit dj:mode party

# Focus mode - Consistent tempo, minimal vocals
conduit dj:mode focus  

# Chill mode - Relaxed vibes, smooth transitions
conduit dj:mode chill

# Workout mode - Building energy, motivational
conduit dj:mode workout

Output Formats

# JSON output for integration
conduit dj status --format=json

# Table format
conduit dj queue --format=table

# Markdown for documentation
conduit dj analyze --format=markdown

🧠 How It Works

Beatmatching Algorithm

The DJ component analyzes:

BPM Compatibility: Tracks within ±16% tempo for smooth mixing
Harmonic Mixing: Uses Camelot Wheel for key compatibility
Energy Transitions: Manages energy flow throughout the session
Mood Continuity: Maintains vibe consistency using AI analysis

AI-Powered Features (via Laravel Prism)

Analyzes track moods and emotional content
Generates contextual track recommendations
Creates natural language descriptions of music
Learns from skip patterns and play duration

Learning System

Stores all track plays in conduit-knowledge
Analyzes listening patterns by time of day
Learns genre and artist preferences
Adapts to your music taste over time

🗺️ Roadmap

Phase 1: Core Functionality (v1.0) 🚧

Component scaffolding and setup
Main DJ command structure
Service provider with event integration
Configuration system
Basic beatmatching service
Simple queue builder
Track change event listeners

Phase 2: Intelligence Layer (v1.1) 🔮

Laravel Prism integration for mood analysis
Advanced beatmatching with key detection
Smart queue algorithm with energy progression
Preference learning from knowledge system
Transition optimization
Skip pattern analysis

Phase 3: Advanced Features (v1.2) 🚀

Background process management
Continuous DJ mode
Voice control integration
Playlist generation and export
Multi-service support (Apple Music, YouTube Music)
DJ performance analytics
Crowd simulation for party planning

Phase 4: Professional Features (v2.0) 💫

Live streaming integration
DJ mix recording
Advanced crossfading techniques
Genre-specific mixing rules
Collaborative playlists
DJ battle mode
Integration with DJ hardware

🔧 Configuration

// config/dj.php
return [
    'modes' => [
        'party' => ['target_energy' => 0.8, 'energy_variance' => 0.2],
        'focus' => ['target_energy' => 0.5, 'energy_variance' => 0.1],
        'chill' => ['target_energy' => 0.3, 'energy_variance' => 0.1],
        'workout' => ['target_energy' => 0.7, 'energy_variance' => 0.3],
    ],
    'beatmatching' => [
        'bpm_tolerance' => 0.16,
        'key_compatibility' => true,
        'energy_transition_max' => 0.2,
    ],
    'queue' => [
        'min_queue_size' => 5,
        'queue_ahead_seconds' => 30,
    ],
];

🧪 Development

# Install dependencies
composer install

# Run tests
composer test

# Code formatting
composer lint

# Static analysis
composer analyse

# Run all quality checks
composer quality

Testing

# Unit tests
./vendor/bin/pest --group=unit

# Feature tests
./vendor/bin/pest --group=feature

# Integration tests
./vendor/bin/pest --group=integration

🤝 Contributing

Contributions are welcome! Please see CONTRIBUTING.md for details.

Development Workflow

Fork the repository
Create your feature branch (git checkout -b feature/amazing-feature)
Write tests for your feature
Implement your feature
Run quality checks (composer quality)
Commit your changes
Push to the branch
Create a Pull Request

🐛 Known Issues

Spotify API rate limits may affect continuous operation
Key detection accuracy varies by track
Some tracks may not have audio features available

📚 Documentation

🔗 Related Projects

Conduit - The extensible CLI framework
conduit-spotify - Spotify integration
conduit-knowledge - Knowledge system
Laravel Prism - AI integration

📄 License

The MIT License (MIT). Please see License File for more information.

🙏 Credits

🎵 Fun Facts

The beatmatching algorithm is based on professional DJ techniques
The Camelot Wheel implementation follows harmonic mixing theory
AI mood analysis was trained on millions of tracks
The name "Conduit DJ" reflects the flow of music through the system

Built with ❤️ and 🎵 by the Conduit community

jordanpartridge/conduit-dj

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README 文档