Installation ============ The software i sintended to run aona GNU/linux based server 1. Create a python `virtualenv `_ and activate it. .. code:: bash python3 -m venv /path/to/new/virtual/environment/mmes source activate /path/to/new/virtual/environment/mmes/bin/activate 2. Clone this repository in a convenient location. .. code:: bash git clone git@github.com:CNR-ISMAR/mmes.git 3. Install requirements with .. code:: bash pip install -r requirements.txt 4. Prepare the data directory structure according to the :ref:`dir_structure` section. .. code:: bash python manage.py dir 5. Manually edit the general configuration file :guilabel:`config.json` according to your needs (see :ref:`gen_config`) section. 6. From the main directory launch .. code:: bash python manage.py new to create a new source config file or .. code:: bash python manage.py mod to edit existing source config file. Refer to :ref:`configuration` section fro detailed information about config files 7. For each source forecast you need to add the model name to required step in :guilabel:`processing.json` :ref:`proc_config`