2. Environment dedicated to Datarmor
#####################################



Install
-------


* First get the src code as described here :doc:`install`
  
  #. You can for instance install **sloop** and **vortex** sources in a dedicated directory in your $DATAWORK 
     ::

      mkdir $DATAWORK/SLOOP_SRC
      cd $DATAWORK/SLOOP_SRC 

  #. Then get SLOOP
     :: 

      git clone https://gitlab.com/GitShom/STM/sloop.git

  #. Switch to this branch

     ::

      git switch mcaillau-sloop-croco

  #. Get vortex sources

     ::

      git clone https://gitlab.com/GitShom/STM/vortex.git

* Secondly the user need to install a specific conda environment on Datarmor. For those who have access to the intranet, the 
  documentation is here 
  `Conda doc on Datarmor <https://w3z.ifremer.fr/intraric/Mon-IntraRIC/Calcul-et-donnees-scientifiques/Datarmor-Calcul-et-Donnees/Datarmor-calcul-et-programmes/Pour-aller-plus-loin/Conda-sur-Datarmor>`_
 
  For instance ::
    
    conda create -n sloop python=3.7

* Once conda is installed the packages to install are given in **Sloop-deps** section in :doc:`install`


Load 
----

To do so, first load conda on Datarmor :: 
    
   source /appli/anaconda/latest/etc/profile.d/conda.csh 

Now you have access to conda commands and you can load your environment ::

    conda activate sloop


Then, export the following environment variables::

        $ setenv MTOOLDIR $DATAWORK
        $ setenv SRC_DIR $DATAWORK/SLOOP_SRC
        $ setenv PATH $PATH:$SRC_DIR/vortex/bin:$SRC_DIR/sloop/bin
        $ setenv PYTHONPATH $SRC_DIR/vortex/project:$SRC_DIR/vortex/site:$SRC_DIR/vortex/src:$SRC_DIR/sloop
    
That's it !
For all the commande lines above, the creation of an alias named `sloopenv` is recommanded.