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Use Conda-Forge's CSPICE Package in Tudat #60

Use Conda-Forge's CSPICE Package in Tudat

Use Conda-Forge's CSPICE Package in Tudat #60

# This workflow builds and tests the tudat source code on Windows, Linux, and MacOS using GitHub Actions. It is triggered upon push and pull requests to master, develop, and feature branches.
# This Github actions workflow automates the build and test process of the tudat source code on Windows, Linux, and MacOS. The workflow is triggered upon push and pull requests to master, develop, and feature branches. The workflow is built on top of the GitHub starter workflow for CMake on multiple platforms.
# ccache is used to cache previous compilation results to speed up the build process across s
# The workflow is built on top of the GitHub starter workflow for CMake on multiple platforms https://github.com/actions/starter-workflows/blob/main/ci/cmake-multi-platform.yml
name: Build and Test
on:
push:
branches: [ "master", "develop", "feature/**" ]
pull_request:
branches: [ "master", "develop", "feature/**" ]
jobs:
build-and-test:
env:
CACHE_NUMBER: 1
runs-on: ${{ matrix.os }}
strategy:
# Set fail-fast to false to ensure that feedback is delivered for all matrix combinations. Consider changing this to true when your workflow is stable.
fail-fast: false
# Set up a matrix to run the following 3 configurations:
# 1. <Windows, Release, latest MSVC compiler toolchain on the default runner image, default generator>
# 2. <Linux, Release, latest GCC compiler toolchain on the default runner image, default generator>
# 3. <Linux, Release, latest Clang compiler toolchain on the default runner image, default generator>
#
# To add more build types (Release, Debug, RelWithDebInfo, etc.) customize the build_type list.
matrix:
os: [ubuntu-latest, windows-latest, macos-latest]
build_type: [Release]
c_compiler: [gcc, clang, cl]
include:
- os: windows-latest
c_compiler: cl
cpp_compiler: cl
label: win-64
- os: ubuntu-latest
c_compiler: gcc
cpp_compiler: g++
label: linux-64
- os: macos-latest
c_compiler: clang
cpp_compiler: clang++
label: osx-64
exclude:
- os: windows-latest
c_compiler: gcc
- os: windows-latest
c_compiler: clang
- os: ubuntu-latest
c_compiler: cl
- os: macos-latest
c_compiler: gcc
- os: macos-latest
c_compiler: cl
- os: ubuntu-latest
c_compiler: clang
steps:
- uses: actions/checkout@v4
- name: Setup conda environment using mamba
# This step sets up a conda environment using mamba, a faster alternative to conda. It creates an empty conda environment with the name 'tudat' and activates it. The environment is created using the latest version of Mambaforge, a conda distribution that includes mamba.
uses: conda-incubator/setup-miniconda@v3
with:
miniforge-variant: Mambaforge
miniforge-version: latest
activate-environment: tudat
use-mamba: true
- name: Get date
# Get the current date and time in UTC format. This step is used to create a unique cache key for the conda environment cache by appending the date to the cache key.
# GitHub cache action doucmentation recommends refreshing the cache every 24 hours to avoid inconsistencies of package versions between the CI pipeline and local installations. This is ensured by appending the date to the cache key.See https://github.com/marketplace/actions/setup-miniconda#caching-environments for more detail.
id: get-date
run: echo "today=$(/bin/date -u '+%Y%m%d')" >> $GITHUB_OUTPUT
shell: bash
- name: Set platform-specific data path
run: |
echo "TUDAT_DATA_PATH=$(python -c "import tudatpy.data; print(tudatpy.data.get_resource_path())")" >> $GITHUB_ENV
echo "TUDAT_DATA_PATH=${{ env.TUDAT_DATA_PATH }}"
echo "TUDAT_DATA_PATH=$TUDAT_DATA_PATH"
shell: bash
- name: Cache conda environment
# Cache the conda environment to avoid re-installing the same packages every time the workflow runs. The cache key is based on the environment.yml file, the operating system, and the date. The cache is restored if the cache key matches the cache key of the previous run.
uses: actions/cache@v4
with:
path: |
${{ env.CONDA }}/envs/tudat
${{ env.TUDAT_DATA_PATH }}
key: ${{ runner.os }}-conda-${{ env.CACHE_NUMBER }}-${{ hashFiles('environment.yml') }}-${{steps.get-date.outputs.today}}
id: cache-environment
- name: Create conda environment from environment.yml
# Update the tudat conda environment created using the environment.yml file if the cache is not restored
run: mamba env update -n tudat -f environment.yml
if: steps.cache-environment.outputs.cache-hit != 'true'
- name: Export the environment to a YAML file
run: |
conda env export --from-history -f environment-locked.yml
- name: Upload the locked environment file
# This step uploads the locked conda environment to the artifacts. This is useful for debugging and reproducing the environment locally.
uses: actions/upload-artifact@v4
with:
name: locked-conda-environment-${{ runner.os }}
path: environment-locked.yml
- name: Restore cached compilation results
# This third party action will setup ccache on the runner and restore any previously saved cache. Caches are saved automatically by the action after a build.
uses: hendrikmuhs/[email protected]
with:
key: ${{ matrix.os }}-${{ matrix.build_type }}-${{ hashFiles('**/*.cmake', '**/CMakeLists.txt') }}
- name: Configure CMake
# Configure CMake in a 'build' subdirectory. `CMAKE_BUILD_TYPE` is only required if you are using a single-configuration generator such as make.
# See https://cmake.org/cmake/help/latest/variable/CMAKE_BUILD_TYPE.html?highlight=cmake_build_type
shell: bash -l {0}
run: >
cmake -B "${{ github.workspace }}/build"
-S "${{ github.workspace }}"
-DCMAKE_BUILD_TYPE=${{ matrix.build_type }}
-DCMAKE_CXX_COMPILER=${{ matrix.cpp_compiler }}
-DCMAKE_CXX_COMPILER_LAUNCHER=ccache
-DCMAKE_C_COMPILER=${{ matrix.c_compiler }}
-DCMAKE_C_COMPILER_LAUNCHER=ccache
-DTUDAT_BUILD_GITHUB_ACTIONS=ON
- name: Build
# Build your program with the given configuration. Note that --config is needed because the default Windows generator is a multi-config generator (Visual Studio generator). Use multiple cpu cores available in the runner.
shell: bash -l {0}
run: cmake --build "${{ github.workspace }}/build" --config "${{ matrix.build_type }}" -j4
- name: Test
working-directory: "${{ github.workspace }}/build"
# Execute tests defined by the CMake configuration. Note that --build-config is needed because the default Windows generator is a multi-config generator (Visual Studio generator).
# See https://cmake.org/cmake/help/latest/manual/ctest.1.html for more detail
run: ctest --build-config ${{ matrix.build_type }} --output-on-failure -j4