.. _tutorial-getting-started: Getting Started =================== .. toctree:: :maxdepth: 1 :hidden: defining-a-new-suite understanding-includes defining-the-first-task checking-job-creation checking-the-job understanding-the-client load-the-file starting-the-suite checking-the-results using-ecflowui execute_rerun_and_requeue First ensure that the paths to ecFlow executables are accessible. On the ECMWF HPC this is done using the **module** command. Hence type the following in the command line: .. code-block:: shell module load ecflow/new module load python3 Create a directory called course in your home directory and enter that directory: .. code-block:: shell cd $HOME mkdir course; cd course If you do not use modules (or outside ECMWF) you will need to add the correct path to your ecFlow binaries, e.g. : .. code-block:: shell export PATH=path_to_your_ecflow_bin:$PATH In order to use ecFlow we first need to start the :term:`ecflow_server` **Shared Machine** On a shared machine multiple users and ecFlow servers can coexist. To allow this we have a startup script "ecflow_start.sh" that will start an :term:`ecflow_server`. This will start an :term:`ecflow_server` running on your system with a port number unique to your user ID. By default this script creates ecFlow log and :term:`check point` files in the directory $HOME/ecflow_server. You can change the location of the log and checkpoint files using the -d option, e.g. to output these file in the course directory: .. code-block:: shell ecflow_start.sh -d $HOME/course .. note:: Please keep a note of the **Host** and **Port** given from your ecf_start.sh output for later. The host and port number uniquely identify your :term:`ecflow_server`. When you want to access this server using :term:`ecflow_client`, :ref:`python_api` or :term:`ecflow_ui` you need to know these information. By setting the value of the environment variables ECF_HOST and ECF_PORT you identify the server you wish to access. Multiple :term:`ecflow_server`\ s can run on the same system. **Local Machine** We prefer to start the ecFlow server with the ecflow_start.sh script to help prevent unintentional shared usage of the server. You could have used the default ECF_PORT and started a server running on your own local machine using the following command: .. code-block:: shell ecflow_server at the unix prompt. This will start an :term:`ecflow_server` running on your system with a default host name of "localhost" and port number of 3141. If another program on your machine is using this same port number, then you will get an "Address in use" error. To start the server on a specific port number you can use: .. code-block:: shell ecflow_server --port=3500 or .. code-block:: shell export ECF_PORT=3500; ecflow_server :term:`ecflow_server` log files and :term:`check point` files are created in the current directory by default, and have a prefix ``.``. As this allows multiple servers to run on the same machine. If you had previously run the same :term:`ecflow_server` in the past it will also attempt to recover the :term:`suite definition` from the :term:`check point` file. **What to do** #. Type 'use ecflow' to setup up the paths. .. code-block:: shell :caption: Access ecFlow command line interface and python interface on ECMWF HPC module load ecflow/new module load python3 #. Create $HOME/course directory #. Start the server using: .. code-block:: shell :caption: Start the server, and set ECF_HOME ecflow_start.sh -d $HOME/course #. Make a note of the **ECF_HOST** and **ECF_PORT** variables. #. Make sure the following does not error: .. code-block:: shell :caption: Check ecFlow python API python3 -c "import ecflow" .. note:: If in the subsequent sections, you have the need to start a new shell and want access to the server, then ensure ECF_PORT is set (also call **module load ecflow/new**, and **module load python3** in each new shell). Python is needed to access ecFlow Python API only.