Symphonic-Joules

Installation and Setup for Symphonic-Joules

Quick Start

For developers wanting to get started immediately:

# Clone, setup, and test
git clone https://github.com/JaclynCodes/Symphonic-Joules.git
cd Symphonic-Joules
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
pip install -r tests/requirements.txt  # Install test dependencies
pytest

Continue reading for detailed information about installation methods and troubleshooting.

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Important Note

This document addresses the installation and setup process for Symphonic-Joules, a project focused on audio processing and energy calculations.

Note: If you were looking for darktable (photography workflow application) installer information, you may have reached this repository in error. Darktable has its own repository at https://github.com/darktable-org/darktable.

Current Status

Symphonic-Joules is currently in early development. The project does not yet have:

• A Windows installer package
• Binary distributions
• Formal packaging infrastructure
• Deployment scripts

Installation Methods

For Developers (Current)

1. Clone the Repository

   git clone https://github.com/JaclynCodes/Symphonic-Joules.git
   cd Symphonic-Joules
   

2. Set Up Python Environment

   # Create virtual environment (recommended)
   python -m venv venv
      
   # Activate virtual environment
   # On Windows:
   venv\Scripts\activate
   # On Unix/macOS:
   source venv/bin/activate
   

   Note for macOS users: If you experience compatibility issues, see the Python Version Compatibility section below for information about using Python 3.11.

3. Install Dependencies

   # Dependencies will be specified as the project develops
   # pip install -r requirements.txt (when available)
   

4. Run Tests

   pytest
   

Future Packaging Plans

As the project matures, the following packaging and installation methods may be implemented:

Potential Installation Methods

1. PyPI Package (Python Package Index)
   • Standard Python package installation
   • pip install symphonic-joules
   • Cross-platform support
2. Conda Package
   • Conda-forge distribution
   • conda install -c conda-forge symphonic-joules
   • Simplified dependency management
3. Platform-Specific Installers (Future Consideration)
   • Windows: MSI installer or standalone executable
   • macOS: DMG or Homebrew formula
   • Linux: DEB/RPM packages or AppImage
4. Portable Distributions
   • Standalone executables with bundled dependencies
   • No installation required

Installation Requirements

System Requirements (Projected)

• Operating Systems: Windows 10+, macOS 10.15+, Linux (Ubuntu 20.04+)
• Python Version: 3.8 or higher (Python 3.11 recommended for macOS users experiencing compatibility issues)
• Audio Hardware: Standard audio input/output capabilities
• Memory: Minimum 4GB RAM recommended
• Storage: Varies based on audio file processing needs

Python Dependencies (To Be Determined)

Common dependencies for audio processing and scientific computing:

• NumPy - Numerical computing
• SciPy - Scientific computing
• Audio libraries (librosa, pydub, or similar)
• Matplotlib/Plotly - Data visualization
• pytest - Testing framework

Configuration

Configuration options and settings will be documented as features are implemented.

Planned Configuration Areas

1. Audio Processing
   • Sample rates
   • Bit depths
   • Audio formats
   • Buffer sizes
2. Energy Calculations
   • Unit preferences
   • Precision settings
   • Calculation methods
3. Performance
   • Multi-threading options
   • Memory limits
   • Cache settings

Deployment Scenarios

Development Installation

• Git clone and virtual environment setup
• Editable install for development
• Access to test suite and examples

User Installation (Future)

• Package manager installation
• Pre-built binaries
• Simplified setup process

Enterprise/Research Deployment (Future)

• Silent installation options
• Configuration file deployment
• Centralized updates
• Custom installation paths

Troubleshooting

Common Issues

Issue: Unable to process audio files

• Solution: Ensure audio libraries are properly installed and audio files are in supported formats

Issue: Import errors

• Solution: Verify all dependencies are installed in the active Python environment

Issue: Performance issues with large audio files

• Solution: Check available memory, consider processing in chunks

Platform-Specific Issues

macOS: Python Version Compatibility

Some macOS users may experience compatibility issues with newer Python versions (3.12+). If you encounter such issues, you can use Python 3.11 as a temporary workaround:

Temporary fix with downgrading Python on macOS:

1. Install Python 3.11 using Homebrew:

   brew install python@3.11
   

2. Add Python 3.11 to your PATH by adding this line to your ~/.zshrc file:

   export PATH="/opt/homebrew/opt/python@3.11/libexec/bin:$PATH"
   

3. Reload your shell configuration:

   source ~/.zshrc
   

4. Verify the Python version:

   python --version
   

Note: This is a temporary workaround. The project aims to support the latest stable Python versions. Check the project’s GitHub issues for updates on Python version compatibility.

Getting Help

• Documentation: See the docs directory
• Issues: Report issues at GitHub Issues
• Contributing: See CONTRIBUTING.md

Roadmap for Installation Infrastructure

• Define core dependencies
• Create requirements.txt and setup.py
• Set up PyPI package structure
• Create automated build scripts
• Develop platform-specific installers (if needed)
• Document installation procedures
• Create troubleshooting guides
• Set up continuous integration for packaging

References

• Python Packaging Guide
• Conda Package Building
• PyInstaller Documentation (for standalone executables)

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This document will be updated as the project’s installation and packaging infrastructure develops.

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