To install IMAS-Core via pip for Python users:
pip install imas-core
python -c "import imas_core"- Python 3.8+
- Linux (fully supported)
Binary wheels are provided for all platforms, so you don't need to compile anything.
Still not working?
See :doc:`../troubleshooting` for common issues.
This page describes how to build and install the IMAS-Core from source code.
To build the IMAS-Core you need:
- Git
- A C++11 compiler (tested with GCC and Intel compilers)
- CMake (3.16 or newer)
- Saxon-HE XSLT processor
- Boost C++ libraries (1.66 or newer)
- PkgConfig
On Windows - Visual Studio 2022 with:
- Desktop Development with C++
- C++ Make Tools for Windows
- CMake (included with Visual Studio)
The following dependencies are only required for some of the components:
- Backends
| [1] | When installing UDA, make sure you have Cap'n'Proto installed in your system and add its support by adding the CMake switch -DENABLE_CAPNP=ON when configuring UDA. |
Standard environments:
.. md-tab-set::
.. md-tab-item:: Ubuntu 22.04
The following packages provide most requirements when using Ubuntu 22.04:
.. code-block:: bash
apt install git build-essential cmake libsaxonhe-java libboost-all-dev \
pkg-config libhdf5-dev xsltproc libblitz0-dev gfortran \
default-jdk-headless python3-dev python3-venv python3-pip
The following dependencies are not available from the package repository,
you will need to install them yourself:
- MDSplus: see their `GitHub repository
<https://github.com/MDSplus/mdsplus>`__ or `home page
<https://mdsplus.org/>`__ for installation instructions.
- UDA: see their `GitHub repository <https://github.com/ukaea/UDA>`__ for more
details.
- MATLAB, which is not freely available.
.. md-tab-item:: Windows with Visual Studio
First, set up vcpkg:
.. code-block:: bash
git clone https://github.com/microsoft/vcpkg.git
cd vcpkg # VCPKG_INSTALLATION_PATH
bootstrap-vcpkg.bat
Then run these commands in PowerShell before building:
.. code-block:: powershell
$env:PATH += ";C:\Program Files\Microsoft Visual Studio\2022\Community\Common7\IDE\CommonExtensions\Microsoft\CMake\CMake\bin\"
$env:PATH += ";C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\bin\HostX86\x86"
$env:PATH += ";<VCPKG_INSTALLATION_PATH>"
Please make sure you have the :ref:`user build prerequisites` installed.
First you need to clone the repository of the IMAS-Core you want to build:
# For the IMAS-Core use:
git clone git@github.com:iterorganization/IMAS-Core.gitOnce you have cloned the repository, navigate your shell to the folder and run cmake.
You can pass configuration options with -D OPTION=VALUE. See below list for an
overview of configuration options.
cd IMAS-Core
cmake -B build -D CMAKE_INSTALL_PREFIX=$HOME/install -D OPTION1=VALUE1 -D OPTION2=VALUE2 [...]Debug Build:
cmake -Bbuild -S . -DVCPKG=ON -DCMAKE_INSTALL_PREFIX="<INSTALL_PATH>" -DCMAKE_TOOLCHAIN_FILE="<VCPKG_PATH>/scripts/buildsystems/vcpkg.cmake" -DAL_DOWNLOAD_DEPENDENCIES=ON cmake -B build -DCMAKE_INSTALL_PREFIX="$(pwd)/test-install/" -DAL_BACKEND_HDF5=ON -DAL_BACKEND_MDSPLUS=ON -DAL_BACKEND_UDA=ON -DAL_BUILD_MDSPLUS_MODELS=ON -DAL_PYTHON_BINDINGS=no-build-isolation -DAL_DOWNLOAD_DEPENDENCIES=ON -DDD_GIT_REPOSITORY=https://github.com/iterorganization/IMAS-Data-Dictionary.git -DDD_VERSION=main -DBoost_NO_BOOST_CMAKE=ON -DCMAKE_CXX_STANDARD=17 -DCMAKE_C_COMPILER=gcc -DCMAKE_CXX_COMPILER=g++Release Build:
cmake -Bbuild -S . -DCMAKE_BUILD_TYPE=Release -DVCPKG=ON -DCMAKE_INSTALL_PREFIX="<INSTALL_PATH>" -DCMAKE_TOOLCHAIN_FILE="<VCPKG_PATH>/scripts/buildsystems/vcpkg.cmake" -DAL_DOWNLOAD_DEPENDENCIES=ON cmake -B build -DCMAKE_INSTALL_PREFIX="$(pwd)/test-install/" -DAL_BACKEND_HDF5=ON -DAL_BACKEND_MDSPLUS=ON -DAL_BACKEND_UDA=ON -DAL_BUILD_MDSPLUS_MODELS=ON -DAL_PYTHON_BINDINGS=no-build-isolation -DAL_DOWNLOAD_DEPENDENCIES=ON -DDD_GIT_REPOSITORY=https://github.com/iterorganization/IMAS-Data-Dictionary.git -DDD_VERSION=main -DBoost_NO_BOOST_CMAKE=ON -DCMAKE_CXX_STANDARD=17 -DCMAKE_C_COMPILER=gcc -DCMAKE_CXX_COMPILER=g++Note
CMake will automatically fetch dependencies from required repositories for you.
If you need to change the git repositories, for example to point to a mirror of the
repository or to use a HTTPS URL instead of the default SSH URLs, you can update the
:ref:`configuration options`. For example, add the following options to your
cmake command to download the repositories over HTTPS instead of SSH:
cmake -B build \
-D AL_CORE_GIT_REPOSITORY=https://github.com/iterorganization/IMAS-Core.git \
-D DD_GIT_REPOSITORY=https://github.com/iterorganization/IMAS-Data-Dictionary.git
If you use CMake 3.21 or newer, you can also use the https preset:
cmake -B build --preset=https
You can instruct CMake to use compilers with the following environment variables:
CC: C compiler, for examplegccoricc.CXX: C++ compiler, for exampleg++oricpc.FC: Fortran compiler, for examplegfortran,ifortornagfor.
If you don't specify a compiler, CMake will take a default (usually from the Gnu Compiler Collection).
Important
These environment variables must be set before the first time you configure
cmake!
If you have an existing build folder and want to use a different compiler, you
should delete the build folder first, or use a differently named folder for the
build tree.
Backend configuration options
AL_BACKEND_HDF5, allowed valuesON(default) orOFF. Enable/disable the HDF5 backend.AL_BACKEND_MDSPLUS, allowed valuesONorOFF(default). Enable/disable the MDSplus backend.AL_BUILD_MDSPLUS_MODELS, allowed valuesON(default) orOFF, only available when the MDSplus backend is enabled. Enable building MDSplus models for the selected Data Dictionary version.
AL_BACKEND_UDA, allowed valuesONorOFF(default). Enable/disable the UDA backend.AL_BACKEND_UDAFAT, allowed valuesONorOFF(default). Enable/disable the UDA backend and use FAT UDA instead of the client/server model. See the UDA documentation for more information.
Control what to build
AL_TESTS, allowed valuesONorOFF(default). Enable/disable building the test programs in thetestsfolder.AL_PLUGINS, allowed valuesON(default) orOFF. Enable/disable building the plugins from theal-pluginsrepository.AL_DOCS_ONLY, allowed valuesONorOFF(default). When enabled, ONLY the documentation will be built (needsAL_HLI_DOCS=ON). Regardless of other configuration options, nothing else will be built.AL_PYTHON_BINDINGS, allowed valuesON(default when building the Python API) orOFF(default when not building the Python API). When enabled, this builds the Access Layer Python lowlevel bindings.
Dependency configuration options
AL_DOWNLOAD_DEPENDENCIES, allowed valuesON(default) orOFF. Enable or disable the automatic downloading of dependencies. Should be disabled when using a development environment
Important
The following environment variables must be set before the first time you configure
cmake!If you have an existing
buildfolder and want to use a different compiler, you should delete thebuildfolder first, or use a differently named folder for the build tree.When
AL_DOWNLOAD_DEPENDENCIESis enabled, the following settings can be used to configure the location and/or version of the dependencies that should be used.AL_CORE_GIT_REPOSITORY, ,DD_GIT_REPOSITORY. Configure the git URLs where theIMAS-Corec.q.data-dictionaryrepositories should be fetched from.AL_CORE_VERSION,AL_PLUGINS_VERSION,DD_VERSION. Configure the version of the repository that should be used. This can point to any valid branch name, tag or commit hash.This setting can be used to control which version of the Data Dictionary you want to use. For example:
-D DD_VERSION=3.38.1will use DD version 3.38.1 instead of the default.
AL_CORE_GIT_REPOSITORY: git@github.com:iterorganization/IMAS-Core.git AL_CORE_VERSION: main DD_GIT_REPOSITORY: git@github.com:iterorganization/IMAS-Data-Dictionary.git DD_VERSION: main
Useful CMake options
CMAKE_INSTALL_PREFIX. Configure the path where the Access Layer will be installed, for example-D CMAKE_INSTALL_PREFIX=$HOME/installwill install the IMAS-Core inside theinstallfolder in your home directory.CMAKE_BUILD_TYPE. Configure the build type for compiled languages. Supported values (case sensitive):Debug: build with debug symbols and minimal optimizations.Release: build with optimizations enabled, without debug symbols.RelWithDebInfo(default): build with optimizations and debug symbols enabled.MinSizeRel: build optimized for minimizing the size of the resulting binaries.
More advanced options are available as well, these can be used to configure where CMake
searches for the prerequisite dependencies (such as the Boost libraries). To show all
available configuration options, use the command-line tool ccmake or the gui tool
cmake-gui:
# for the CLI tool
ccmake -B build -S .
# for the GUI tool
cmake-gui -B build -S .Use cmake to build as shown below.
# Instruct make to build "all" in the "build" folder, using at most "8" parallel
# processes:
CMAKE_ARGS=(${CMAKE_ARGS[@]}
-D"CMAKE_INSTALL_PREFIX=$(pwd)/test-install/"
# Enable all backends
-DAL_BACKEND_HDF5=ON
-DAL_BACKEND_MDSPLUS=ON
-DAL_BACKEND_UDA=ON
# Build MDSplus models
-DAL_BUILD_MDSPLUS_MODELS=ON
# Build Python bindings
-DAL_PYTHON_BINDINGS=no-build-isolation
# Download dependencies from HTTPS (using an access token):
-DAL_DOWNLOAD_DEPENDENCIES=ON
-DDD_GIT_REPOSITORY=https://github.com/iterorganization/IMAS-Data-Dictionary.git
# DD version:
-DDD_VERSION=$DD_VERSION
# Work around Boost linker issues on 2020b toolchain
-DBoost_NO_BOOST_CMAKE=ON
)
echo "CMake args:"
echo ${CMAKE_ARGS[@]} | tr ' ' '\n'
# Note: we don't set CC or CXX compiler, so CMake will pick the default (GCC) compilers
cmake -Bbuild -GNinja "${CMAKE_ARGS[@]}"
# Build and install
cmake --build build --target installNote
By default CMake on Linux will create Unix Makefiles for actually building
everything, as assumed in this section.
You can select different generators (such as Ninja) if you prefer, but these are not tested. See the CMake documentation for more details.
Alternatively, you can install IMAS-Core from source using pip. This method is useful when you want to install directly from the source code without using CMake directly.
First, clone the repository:
git clone git@github.com:iterorganization/IMAS-Core.git
cd IMAS-CoreThen install using pip:
pip install .You can pass CMake configuration options to pip using the -C skbuild.cmake.define.OPTION=VALUE
syntax. For example:
# Install with UDA backend disabled
pip install . -C skbuild.cmake.define.AL_BACKEND_UDA=OFF
# Install with specific backend configurations
pip install . \
-C skbuild.cmake.define.AL_BACKEND_HDF5=ON \
-C skbuild.cmake.define.AL_BACKEND_MDSPLUS=ON \
-C skbuild.cmake.define.AL_BACKEND_UDA=OFF \
-C skbuild.cmake.define.AL_PYTHON_BINDINGS=ONAll CMake configuration options described in the :ref:`Configuration options` section
can be passed using this method. The option names remain the same, but are prefixed with
-C skbuild.cmake.define..
Following snippet shows how to run the test with pytest. Just ensure that you have
AL_PYTHON_BINDINGS-ON in cmake configuration.
If you set either of the options AL_EXAMPLES or AL_TESTS to ON, you can run
the corresponding test programs as follows:
python3 -m venv build/pip_install
source build/pip_install/bin/activate
pip install --upgrade pip wheel
pip install numpy
set -x
pip install --find-links=build/dist imas-core[test,cov]
pytest --junitxml results.xml --cov imas_core --cov-report xml --cov-report html
coverage2clover -i coverage.xml -o clover.xmlAfter installing the IMAS-Core, you need to ensure that your code can find the installed
Access Layer. To help you with this, a file al_env.sh is installed. You can
source this file to set all required environment variables:
source <install_dir>/bin/al_env.sh- You may want to add this to your
$HOME/.bashrcfile to automatically make the IMAS-Core - installation available for you.
Note
To use a public dataset, you also need to set the IMAS_HOME environment
variable. For example, on SDCC, this would be export IMAS_HOME=/work/imas.
Some programs may rely on an environment variable IMAS_VERSION to detect which
version of the data dictionary is used in the current IMAS environment. You may set
it manually with the DD version you've build theens-user API with, for example: export
IMAS_VERSION=3.41.0.
Once you have set the required environment variables, you may continue Using the IMAS-Core.
If IMAS-Core is built with Python bindings, you can also use the Python bindings with imas-python. imas_python. Just install with pip install imas-python and you can use the Python bindings. more information is here imas-python.
For comprehensive examples and advanced usage patterns, see:
- IMAS-Python Documentation - High-level interface with detailed examples
- :doc:`backends_guide` - Learn about different data backends
- :doc:`index` - Start using IMAS-Core with Python