SugarSpice

This Library provides a C++ interface querying, reading and writing Naif SPICE kernels. Built on the Naif Toolkit.

Roadmap

This is still a work in progress. Developed by USGS Astrogeology, this library is intended to be used as part of Astrogeology's Software portfolio. Specifically as Ale's primary method for interacting with kernels.

Library name will most likely change as this matures.

Primary Milstones:

1. Complete basic I/O functionality. This Includes:
   • Complete Query support for at least one mission
   • Complete Kernel writing for CK, SPK and Text kernels from C++ types
2. Complete Mission Support
   • Complate Configuration files for all missions currently supported by ISIS
3. Complete reading of Binary Spice kernels to C++ types

Building The Library

The library leverages anaconda to maintain all of it's dependencies. So in order to build SugarSpice, you'll need to have Anaconda installed.

NOTE:If you already have Anaconda installed, skip to step 3.

1. Download either the Anaconda or Miniconda installation script for your OS platform. Anaconda is a much larger distribtion of packages supporting scientific python, while Miniconda is a minimal installation and not as large: Anaconda installer, Miniconda installer
2. If you are running on some variant of Linux, open a terminal window in the directory where you downloaded the script, and run the following commands. In this example, we chose to do a full install of Anaconda, and our OS is Linux-based. Your file name may be different depending on your environment.
   • If you are running Mac OS X, a pkg file (which looks similar to Anaconda3-5.3.0-MacOSX-x86_64.pkg) will be downloaded. Double-click on the file to start the installation process.
3. Open a Command line prompt and run the following commands:

# Clone the Github repo, note the recursive flag, this library depends on
# submodules that also need to be cloned. --recurse-submodules enables this and
# the -j8 flag parallelizes the cloning process.
git clone --recurse-submodules -j8 https://github.com/USGS-Astrogeology/SugarSpice.git

# cd into repo dir
cd SugarSpice

# Create new environment from the provided dependency file, the -n flag is
# proceded by the name of the new environment, change this to whatever works for you
conda env create -f envornment.yml -n ssdev

# activate the new env
conda activate ssdev

# make and cd into the build directory. This can be placed anywhere, but here, we make
# it in the repo (build is in .gitingore, so no issues there)
mkdir buid
cd build

# Configure the project, install directory can be anything, here, it's the conda env
cmake .. -DCMAKE_INSTALL_PREFIX=$CONDA_PREFIX

# build and install project
make install

# Optional, Run tests
ctest -j8