************ Installation ************ JADE can be installed on your computer or HPC. If trying to install it on your computer, you can choose to install it in a conda environment or Docker container. Computer or HPC with conda ========================== 1. Choose a virtual environment in which to install JADE. This can be an existing `conda `_ environment or an environment from something like `pyenv `_. A validated conda `environment `_ is provided in the JADE repository. Note that Python 3.7 or greater is required. Example with a new conda environment: .. code-block:: bash $ conda create --name jade python=3.7 2. Install JADE. 1) ``pip install NREL-jade`` or 2) ``conda install nrel-jade --channel=nrel --channel=conda-forge`` Computer with docker ==================== Docker can run on different OS platforms - Linux, Mac, Windows, etc. Please follow the document https://docs.docker.com/ to install Docker CE on your machine first. Then you can continue JADE installation with docker. Here are instructions to build a container with JADE installed. 1. Clone JADE source code to your machine. .. code-block:: bash $ git clone git@github.com:NREL/jade.git 2. Build ``jade`` docker image .. code-block:: bash $ docker build -t jade . 3. Run ``jade`` docker container .. code-block:: bash $ docker run --rm -it -v absolute-input-data-path:/data jade After the container starts, the terminal will show something like this .. code-block:: bash (jade) root@d14851e20888:/data# Then type ``jade`` to show JADE related commands .. code-block:: bash (jade) root@d14851e20888:/data# jade Usage: jade [OPTIONS] COMMAND [ARGS]... JADE commands Options: --help Show this message and exit. Commands: auto-config Automatically create a configuration. config Manage a JADE configuration. extensions Manage JADE extensions. pipeline Manage JADE execution pipeline. show-events Shows the events after jobs run. show-results Shows the results of a batch of jobs. stats View stats from a run. submit-jobs Submits jobs for execution, locally or on HPC. This base image is https://hub.docker.com/r/continuumio/miniconda3, which is built on top of ``debian``, so you can use Linux commands for operation. 4. To exit docker environment, just type .. code-block:: bash $ exit For more about docker commands, please refer https://docs.docker.com/engine/reference/commandline/docker/.