Metadata-Version: 2.1
Name: webgeodyn
Version: 0.9.0
Summary: A web-based plot tool to visualize Earth core flows
Home-page: https://gricad-gitlab.univ-grenoble-alpes.fr/Geodynamo/webgeodyn
Author: Nicolas Gillet, Loïc Huder, Yannick Martin, Franck Thollard
Author-email: loic.huder@univ-grenoble-alpes.fr
License: UNKNOWN
Description: #########
        webgeodyn
        #########
        
        .. image:: https://gricad-gitlab.univ-grenoble-alpes.fr/Geodynamo/webgeodyn/badges/master/build.svg
            :target: https://gricad-gitlab.univ-grenoble-alpes.fr/Geodynamo/webgeodyn/pipelines
        
        .. image:: https://img.shields.io/website/https/geodynamo.gricad-pages.univ-grenoble-alpes.fr/webgeodyn/index.html.svg?label=documentation&up_color=cyan
            :target: https://geodynamo.gricad-pages.univ-grenoble-alpes.fr/webgeodyn/index.html
        .. image:: https://img.shields.io/pypi/v/webgeodyn.svg
            :target: https://pypi.org/project/webgeodyn/
        
        **webgeodyn** is a web-based plot tool to visualize Earth core flows and scalar fields at the Core Mantle Boundary (CMB). It consists in a Tornado web server, that can be started locally, that provides a set of visualisation tools on a variety of data formats.
        
        Installation
        ============
        Requirements
        ------------
        The installation of webgeodyn requires Python 3 to be installed.
        
        The other dependencies will be automatically installed by the next step but are listed here for the sake of completeness:
        
        * *numpy*
        * *scipy* (version > 1.1)
        * *h5py*
        * *tornado*
        
        Installing the package
        ----------------------
        webgeodyn can be installed
        
        - from pip:
        
        .. code-block:: bash
        
            pip3 install webgeodyn [--user]
        
        Put the :code:`--user` flag if you are not installing in a `virtual environment <https://docs.python.org/3/library/venv.html>`_.
        
        - from the git repository :
        
        Clone first the webgeodyn repository
        
        .. code-block:: bash
        
            git clone https://gricad-gitlab.univ-grenoble-alpes.fr/Geodynamo/webgeodyn
        
        Then install the package:
        
        .. code-block:: bash
        
            cd webgeodyn
            python3 setup install [--user]
        
        Again, put the :code:`--user` flag if needed.
        
        Whatever the method used, you can test if the install succeed by importing webgeodyn in Python3:
        
        .. code-block:: bash
        
            python3 -c "import webgeodyn; print(webgeodyn.__version__)"
        
        This command should return the installed version.
        
        Running the example
        ===================
        
        You can give a first try at starting the web server by running the example:
        
        .. code-block:: bash
        
            python3 webgeodyn/example.py
        
        or in the Python console:
        
        .. code-block:: python
        
            >>> import webgeodyn.example
            >>> webgeodyn.example.run()
        
        This starts the server locally and should open your browser and display a page resembling the one at https://geodyn.univ-grenoble-alpes.fr/. If not, try to type :code:`http://localhost:8080` in your browser.
        
        You can try the different visualisations tools provided on the loaded example model (`CHAOS-6 <http://www.space.dtu.dk/english/Research/Scientific_data_and_models/Magnetic_Field_Models>`_).
        
        Note that this example will also try to load the result from the latest `pygeodyn <https://gricad-gitlab.univ-grenoble-alpes.fr/Geodynamo/pygeodyn>`_ (geomagnetic data assimilation Python package also developed in our group) computation (if present in ``~/pygeodyn_results/Current_computation/``).
        
        Running the server with your data
        =================================
        The server can be used to visualise any data of supported format. For that, it is necessary to follow the template of ``example.py``:
        
        - First, load the data under the form of `Model`_ objects, of a given name and format, in a `Models`_ dictionary.
        - Then, the server must be started with the loaded `Models`_.
        
        .. _Model: https://geodynamo.gricad-pages.univ-grenoble-alpes.fr/webgeodyn/webgeodyn.models.model.html#webgeodyn.models.model.Model
        .. _Models: https://geodynamo.gricad-pages.univ-grenoble-alpes.fr/webgeodyn/webgeodyn.models.models.html
        
        This is shown in details below:
        
        .. code-block:: python
        
            # 0.Import the necessary submodules
            import webgeodyn.server
            import webgeodyn.models
        
            # 1.Initialising the Models dictionary
            models = webgeodyn.models.Models()
        
            # 2.Loading your data in the Models dictionary
            # Syntax: models.loadModel('/path/to/the/model/directory', "Name of the model", "Format of the model")
            # Example for pygeodyn:
            models.loadModel('pygeodyn_results/Current_computation', 'Current pygeodyn computation', 'pygeodyn_hdf5')
            # Several models can be loaded at once. Example for CHAOS:
            models.loadModel('webgeodyn/webgeodyn/example_data/CHAOS-6-x4', 'CHAOS-6-x4 model', 'CHAOS')
        
            # 3.Start the server with the loaded Models
            webgeodyn.server.startServer(models)
        
        By copying this code in a Python file of your own, you should be able to use the visualisation tools on data of supported formats.
        
        The format of the models, that define the format of the files to read, are the modules of `webgeodyn.inout`_. Here are a few:
        
        - ``pygeodyn_hdf5``: to read HDF5 files generated by `pygeodyn`_
        - ``chaos``: to read `CHAOS`_ splines files
        - ``covobs``: to read  `COVOBS`_ realisations files
        
        A list of the formats can be displayed by running:
        
        .. code-block:: python
        
            >>> import webgeodyn.inout
            >>> print(webgeodyn.inout._formats)
        
        
        If you need the support of a new format of file, you can follow the templates given in the documentation of `webgeodyn.inout`_ to implement your own loading function. Otherwise, you can contact us using the information given below.
        
        .. _COVOBS: http://www.space.dtu.dk/english/Research/Scientific_data_and_models/Magnetic_Field_Models
        .. _CHAOS: http://www.space.dtu.dk/english/Research/Scientific_data_and_models/Magnetic_Field_Models
        .. _CHAOS-6: http://www.space.dtu.dk/english/Research/Scientific_data_and_models/Magnetic_Field_Models
        .. _pygeodyn: https://gricad-gitlab.univ-grenoble-alpes.fr/Geodynamo/pygeodyn
        .. _webgeodyn.inout: https://geodynamo.gricad-pages.univ-grenoble-alpes.fr/webgeodyn/index.html/webgeodyn.inout.html
        
        Developer documentation
        =======================
        Documentation of the submodules of the package are available `on line <https://geodynamo.gricad-pages.univ-grenoble-alpes.fr/webgeodyn/index.html>`_.
        
        If `Sphinx <http://www.sphinx-doc.org/>`_ is installed and the files were cloned from the repository, it is possible to generate the documentation locally using:
        
        .. code-block:: bash
        
            cd doc && ./make_all_doc.sh
        
        The documentation will then be available in HTML format for both Python and JavaScript at doc/html/index.html.
        
        Conditions of use
        =================
        The work is licensed under the `GNU GPLv3 <./LICENSE.txt>`_.
        
        Git repository
        ==============
        The source code is stored on a Git repository (https://gricad-gitlab.univ-grenoble-alpes.fr/Geodynamo/webgeodyn) which can also be used to give feedbacks through `Issues <https://gricad-gitlab.univ-grenoble-alpes.fr/Geodynamo/webgeodyn/issues>`_.
        
        Contact information
        ===================
        For scientific inquiries, contact `Nicolas Gillet <mailto:nicolas.gillet@univ-grenoble-alpes.fr>`_. For technical problems, contact `Loïc Huder <mailto:loic.huder@univ-grenoble-alpes.fr>`_ or `Franck Thollard <mailto:franck.thollard@univ-grenoble-alpes.fr>`_.
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: JavaScript
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Education
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Scientific/Engineering :: Visualization
Description-Content-Type: text/x-rst
