Symphonic-Joules

"Where sound meets science, harmony meets energy."

A project that harmonizes the worlds of sound and energy through innovative computational approaches, providing tools and insights that bridge the gap between acoustics and physics.

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📋 Table of Contents

• Overview
• Features
• Quick Start
• Usage Examples
• Project Structure
• Testing
• Contributing
• Roadmap
• Scientific Background
• Documentation
• Community
• License

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🎵 Overview

Symphonic-Joules is an open-source project that explores the intersection of audio processing and energy calculations. Whether you're working with sound waves, musical compositions, or energy transformations, this project aims to provide tools and insights that bridge the gap between acoustics and physics.

Mission: To create an extensible, scientifically-grounded framework for analyzing the energetic properties of sound and the sonic properties of energy systems.

✨ Features

• 🎼 Audio Analysis: Process and analyze musical compositions and sound waves
• ⚡ Energy Calculations: Compute energy transformations and measurements
• 🔬 Scientific Computing: Apply physics principles to audio data
• 📊 Visualization: Generate insights through data visualization
• 🛠️ Extensible Framework: Build upon a modular architecture
• 🧪 Test Coverage: Comprehensive test suite with pytest
• 📚 Rich Documentation: Detailed guides for users and contributors

🚀 Quick Start

Prerequisites

• Python 3.8 or higher (Python 3.11 recommended for macOS users)
• pip (Python package installer)
• git (version control)

Installation

# 1. Clone the repository
git clone https://github.com/JaclynCodes/Symphonic-Joules.git
cd Symphonic-Joules

# 2. Create and activate a virtual environment (recommended)
python -m venv venv

# On Windows:
venv\Scripts\activate

# On Unix/macOS:
source venv/bin/activate

# 3. Install the package in development mode
pip install -e .

# 4. Install development dependencies (optional, for contributors)
pip install -e ".[dev]"

Verify Installation

# Run the test suite to verify installation
python -m pytest tests/ -v

# Check package version (note: Python package uses underscores, not hyphens)
python -c "import symphonic_joules; print(symphonic_joules.__version__)"

For detailed installation instructions, troubleshooting, and platform-specific guidance, see docs/installation-setup.md.

💡 Usage Examples

Python API

Currently, Symphonic-Joules provides a Python API for audio and energy computations. The package is designed to be imported and used programmatically.

Note: The Python package name uses underscores (symphonic_joules) following Python naming conventions, while the repository and project name use hyphens (Symphonic-Joules).

# Import the package (note: use underscores in Python)
import symphonic_joules

# Check version
print(f"Symphonic-Joules v{symphonic_joules.__version__}")

# Future usage examples will include:
# - Loading and processing audio files
# - Computing energy transformations
# - Analyzing frequency domain properties
# - Visualizing acoustic and energetic data

Planned CLI Interface

A command-line interface (joule) is planned for future releases to provide easy access to core functionality:

# Planned CLI commands (coming soon):
# joule process-audio <input.wav> --output <output.wav>
# joule analyze-energy <audio-file>
# joule list-filters
# joule convert --format mp3 <input>

For more examples and tutorials, see docs/examples/ and docs/getting-started.md.

📁 Project Structure

Symphonic-Joules/
├── .github/              # GitHub workflows, issue templates, and CI/CD
│   ├── workflows/        # CI/CD workflow definitions
│   └── ISSUE_TEMPLATE/   # Issue templates
├── docs/                 # Comprehensive documentation
│   ├── getting-started.md          # Getting started guide
│   ├── installation-setup.md       # Detailed installation
│   ├── api-reference.md            # API documentation
│   ├── architecture.md             # System architecture
│   ├── performance-optimization.md # Performance tips
│   ├── test-performance-guide.md   # Testing best practices
│   ├── faq.md                      # Frequently asked questions
│   └── examples/                   # Code examples and tutorials
├── src/                  # Source code
│   └── symphonic_joules/ # Main package
│       ├── __init__.py   # Package initialization
│       ├── audio.py      # Audio processing module
│       ├── energy.py     # Energy calculations module
│       └── utils.py      # Utility functions
├── tests/                # Test suite (pytest)
│   ├── workflows/        # Workflow tests
│   └── *.py              # Test modules
├── CHANGELOG.md          # Project changelog
├── CONTRIBUTING.md       # Contribution guidelines
├── LICENSE               # MIT License
├── README.md             # This file
├── pytest.ini            # Pytest configuration
├── requirements.txt      # Project dependencies
├── ruff.toml             # Ruff linter configuration
└── setup.py              # Package setup script

🧪 Testing

Symphonic-Joules uses pytest for comprehensive testing. Tests ensure code quality, correctness, and prevent regressions.

Running Tests

# Run all tests
python -m pytest tests/ -v

# Run tests with coverage report
python -m pytest tests/ --cov=symphonic_joules --cov-report=html

# Run specific test file
python -m pytest tests/test_readme_validation.py -v

# Run tests matching a pattern
python -m pytest tests/ -k "test_documentation" -v

Test Organization

• Unit Tests: Test individual functions and modules
• Integration Tests: Test component interactions
• Workflow Tests: Validate GitHub Actions workflows
• Documentation Tests: Ensure documentation accuracy

Coverage Goals

• Target: 80%+ code coverage for core modules
• Current Status: Tests cover workflow validation, documentation accuracy, and infrastructure

For more details on testing best practices, see docs/test-performance-guide.md.

🤝 Contributing

We welcome contributions from developers, musicians, physicists, and anyone interested in the intersection of sound and energy!

How to Contribute

1. Fork the Repository - Click the "Fork" button on GitHub
2. Create a Branch - git checkout -b feature/your-feature-name
3. Make Changes - Implement your feature or fix
4. Write Tests - Add tests for your changes
5. Run Tests - Ensure all tests pass with pytest
6. Submit a Pull Request - Provide a clear description of your changes

Contribution Pathways

• 🐛 Report Bugs: Create an Issue
• 💡 Suggest Features: Feature Request
• 👶 Good First Issues: Beginner-Friendly Tasks
• 📋 Project Board: View Active Projects
• 📖 Improve Documentation: Documentation PRs are always welcome!

Guidelines

• Follow PEP 8 style guide for Python code
• Write clear commit messages
• Add tests for new features
• Update documentation as needed
• Be respectful and collaborative

Read the full Contributing Guidelines for detailed information.

🎯 Roadmap

Version 0.1.0 (Current - Foundation)

• Project structure and documentation
• CI/CD pipeline with GitHub Actions
• Test infrastructure with pytest
• Package setup and installation
• Core audio processing framework
• Energy calculation modules

Version 0.2.0 (Planned - Core Features)

• Audio file I/O (WAV, MP3, FLAC)
• Frequency domain transformations (FFT, STFT)
• Basic energy calculations from audio signals
• Data visualization tools
• Extended API documentation

Version 0.3.0 (Planned - CLI and Examples)

• Command-line interface (joule CLI)
• Example applications and tutorials
• Performance optimizations
• Coverage improvements

Future Versions

• Advanced audio analysis algorithms
• Machine learning integration
• Real-time processing capabilities
• Web-based visualization dashboard
• Community plugin system

See our Project Board for detailed progress tracking and upcoming milestones.

🔬 Scientific Background

The name "Symphonic-Joules" reflects our mission to harmonize:

• Symphonic: The structured, harmonic nature of music and sound
• Joules: The fundamental unit of energy in physics (SI unit)

Research Areas

This project explores:

1. Acoustic Energy: How sound waves carry and transform energy through different media
2. Musical Patterns and Energy: Relationships between harmonic structures and energy distributions
3. Computational Acoustics: Numerical methods for analyzing sound and energy
4. Signal Processing: Time-frequency analysis of audio signals
5. Physics-Informed Computing: Applying physical principles to audio data analysis

Scientific Accuracy

All physics calculations are:

• Validated against known physical principles
• Documented with references to scientific literature
• Implemented with appropriate numerical precision
• Reviewed for accuracy and stability

📚 Documentation

Comprehensive documentation is available in the docs/ directory:

• Getting Started Guide - Installation and first steps
• Installation & Setup - Detailed installation instructions
• API Reference - Complete API documentation
• Architecture - System design and structure
• Performance Optimization - Best practices
• Test Performance Guide - Testing guidelines
• FAQ - Frequently asked questions
• Examples - Code examples and tutorials

👥 Community

Get Involved

• GitHub Issues: Report bugs, request features
• Discussions: Ask questions, share ideas
• Pull Requests: Contribute code and documentation

Code of Conduct

We are committed to providing a welcoming and inclusive environment. Please:

• Be respectful and considerate
• Welcome newcomers and help them learn
• Focus on constructive feedback
• Maintain a positive, collaborative atmosphere

📄 License

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

Key Points

• ✅ Free to use, modify, and distribute
• ✅ Commercial use allowed
• ✅ Attribution required
• ❌ No warranty provided

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📞 Contact & Links

• Repository: github.com/JaclynCodes/Symphonic-Joules
• Issues: GitHub Issues
• Discussions: GitHub Discussions
• Author: JaclynCodes

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Thank you for your interest in Symphonic-Joules!

Where sound meets science, harmony meets energy.