test-esmf-loader 0.0.1

Load Aspect Models based on the Semantic Aspect Meta Model

The Aspect Model Loader as part of the Python SDK provided by the Eclipse Semantic Modeling Framework.

An Aspect of the Meta Model

The esmf-aspect-model-loader package provides the Python implementation for the SAMM Aspect Meta Model, or SAMM. Each Meta Model element and each Characteristic class is represented by an interface with a corresponding implementation.

Usage

An Aspect of the Meta Model can be created as follows using the provided AspectInstantiator.

aspect_loader = AspectLoader()
aspect = aspect_loader.load_aspect_model("absolute/path/to/turtle.ttl");

or

aspect_loader = AspectLoader()
aspect = aspect_loader.load_aspect_model_from_multiple_files(["list/of/absolute/paths/to/turtles.ttl"], "aspect_urn");

Automatic Deployment

A GitHub action called 'Release' has been set up for the esmf-aspect-model-loader. This action checks the code quality by running tests, the static type checker MyPy and the code formatter 'Black'.

Set Up SAMM Aspect Meta Model for development

In order to download the SAMM sources, it is required to run poetry install once in the esmf-aspect-model-loader module. There are two possibilities to download the SAMM files and extract the Turtle sources for the Meta Model.

Possibility 1 (downloading a release)

The download_samm_release script may be executed with

poetry run download-samm-release

It downloads a release JAR-file from GitHub and extracts the SAMM Files. The version is specified in the python script.

Link to all Releases: https://github.com/eclipse-esmf/esmf-semantic-aspect-meta-model/releases

Possibility 2 (downloading from the repository)

It may happen that there is no .jar file that is up to date with the changes of the SAMM. This script is an alternative to the download_samm_release.py and extracts the files from the repository directly instead of using the newest release.

The script uses the GitHub API and downloads the files from the main branch. If the script is run in a pipeline, it uses a GitHub token to authorize. If the script is run locally, the API is called without a token. This may cause problems because unauthorized API calls are limited.

This script can be executed with

poetry run download-samm-branch

to download and start working with the Aspect Model Loader.