AAS Repository Semantic Matcher

This is a proof-of-concept implementation for a simple semantic matcher for an AAS Repository.

Here's what it does:

• It connects to an existing AAS Repository Server
• It queries and indexes all the semanticIDs of the Submodels stored in that Repository Server
• It returns the semantically equivalent semanticIDs in a specific format needed for Submodel Conformance Checking

How to run

Option 1: Via Python Script

In order to run this script directly, you first need to install the dependencies:

Note

We advise you to create a virtual environment to install the dependencies and run the script.

pip install -r requirements.txt

Then, you can run the script via:

python aas_repository_semantic_matcher/matcher.py "http://localhost:8080/api/v3.0" 

where "http://localhost:8080/api/v3.0" is the endpoint of the AAS Repository Server.

Option 2: Via Docker

In order to run the script via Docker, you first need to build the container from the Dockerfile:

sudo docker build -t aas_repository_matcher .

Hereby, aas_repository_matcher is the name you want to give the image.

Then, you can run a container based on this image:

sudo docker run -e REPOSITORY_ENDPOINT="http://host.docker.internal:8080/api/v3.0" aas_repository_matcher

where REPOSITORY_ENDPOINT specifies the endpoint of the AAS Repository Server and aas_repository_matcher is the name you gave the image in the command above.

Note

Your http://localhost on the Docker Host is accessible via http://host.docker.internal inside the container, so you need to adapt the endpoint accordingly. All other endpoints e.g. https://iat.rwth-aachen.de should work without adjustment.