Introduction and Installation

Purpose

S3MPython is a Python implementation of the S3Model specifications.

Target Audience

This library provides the ability for domain experts from any field, with some programming ability to build S3Model data models.

Programmers, data engineers and data scientists can also benefit from this library in the same ways as domain experts as long as they understand the domain ontologies and vocabularies to use for the semantic markup.

For hands on experience we recommend that you start with the S3MPython Training Examples. The tutorial for these examples is located in the S3Model User Guide It is highly recommended that those new to S3Model read the User Guide in it’s entirety before doing the tutorial.

Installation

You should install S3MPython into the virtual environment where you are developing your application.

pip install S3MPython

The latest release candidate can be installed from the Github project.

pip install  <path/to/release/file>

The <path/to/release/file> is found by going to the Releases page under the Release you want (usually the latest) go to the Source code link, right click on it and copy the link location.

See the Project Integration section of the documentation for the next steps.

Development

Cross-Platform on Anaconda

Anaconda is the preferred environment for a tool like S3MPython because it integrates easily with systems for domain experts, data engineers, and data scientists.

  • Download and install Anaconda Python 3.7+ for your platform.

  • More detailed Anaconda instructions are here if you prefer.

  • Open a terminal window and create a conda environment. On Windows it is best to open an Anaconda Prompt terminal from the Anaconda menu:

  • Create and change to the directory

mkdir S3MPythonTest
cd S3MPythonTest
  • Create the environment

conda env create -f S3MPython.yml
source activate S3MPython
pip install S3MPython

Create a new branch for your changes.

Build and install your development branch into your S3MPython environment.

python3 setup.py sdist bdist_wheel

pip install e .

These quick steps create a virtual environment in the subdirectory S3MPython. Once the environment is created, conda displays how to activate the environment. When activated, S3MPython is installed in the subdirectory along with the environment.

What are all the files for?

Depending on how and where you installed S3MPython you will see a varying number of files and subdirectories. Many of them may be part of the Anaconda environment, so we do not cover those.

Referenced from the S3MPython directory created at install time:

Files

  • README.md

    A brief explanation of the library’s purpose and links to background information.

  • S3MPython.conf

    This file is the required configuration file.

  • LICENSE

    A copy of the copyright notice and license.

Directories

  • docs

    S3MPython HTML documentation. Open the index.html file in a browser.

  • s3model

    Support files required for operation.

    • s3model.owl - the core S3Model ontology.

    • s3model_3_1_0.xsd - the reference model schema version 3.1.0

    • s3model_3_1_0.rdf - the extracted semantics from the reference model schema version 3.1.0

    • s3model_3_1_0.xsl - a stylesheet providing visualization in a browser of the reference model schema version 3.1.0

    • dm-description.xsl - a stylesheet that provides for visualization in a browser of any S3Model data model. Just place it in the same directory with the dm-{cuid}.xsd file and open the schema in a browser.

  • S3MPython

    The library source code.