openeo-processes 0.0.4

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openeo_processes is a Python representation of the openEO processes.

The list supported here tries to be as complete as possible, but some processes (typically the ‘cube’ ones) are intrinsically connected to the back-end implementation and data model, and therefore are omitted here. Examples of missing processes are ‘load_collection’ or ‘merge_cubes’.

Processes are currently aligned with openEO API version 1.0.

Installation

1. At the moment, this package is only installable from source. So start with cloning the repository:

   git clone https://github.com/Open-EO/openeo-processes-python.git
   cd openeo-processes-python

2. It is recommended to install this package in a virtual environment, e.g. by using venv (from the Python standard library), virtualenv, a conda environment, … For example, to create a new virtual environment using venv (in a folder called .venv) and to activate it:

   python3 -m venv .venv
   source .venv/bin/activate

   (You might want to use a different bootstrap python executable instead of python3 in this example.)

3. Install the package in the virtual environment, preferably through pip of your virtual environment:

   pip install .

   If you plan to do development on the package itself, install it in “development” mode with:

   pip install -e .

   If plan to process xarray or dask arrays, you probably have the corresponding libraries already installed in your virtual env, and openeo_processes will handle them appropriately out of the box. You can however also explicitly pull these libraries in as “extra” dependencies when installing openeo_processes. For example with one of the following install commands:

   pip install .[dask]
   pip install .[xarray]
   pip install .[dask,xarray]

4. Optionally run the tests:

   python setup.py test

Note

This project has been set up using PyScaffold 3.0.3. For details and usage information on PyScaffold see http://pyscaffold.org/.