Python wrapper for communicating with the Stardog HTTP server.

This framework wraps all the functionality of a client for the Stardog Knowledge Graph, and provides access to a full set of functions such as executing SPARQL queries, administrative tasks on Stardog, and the use of the Reasoning API.

The implementation uses the HTTP protocol, since most of Stardog functionality is available using this protocol. For more information, go to the Stardog's HTTP Programming documentation.

pystardog is on PyPI so all you need is: pip install pystardog

Documentation is readable at Read the Docs or can be built using Sphinx:

cd docs
pip install -r requirements.txt
make html

To run the tests locally, a valid Stardog license is required and placed in the dockerfiles/stardog-license-key.bin. Docker and docker-compose are also required.

 docker-compose -f docker-compose.single-node.yml up --exit-code-from tests-single-node
 docker-compose -f docker-compose.cluster.yml up --exit-code-from tests

To run a format of all the files

virtualenv -p $(which python3) venv
. venv/bin/activate
pip install -r test-requirements.txt
black .

import stardog

conn_details = {
  'endpoint': 'http://localhost:5820',
  'username': 'admin',
  'password': 'admin'
}

with stardog.Admin(**conn_details) as admin:
  db = admin.new_database('db')

  with stardog.Connection('db', **conn_details) as conn:
    conn.begin()
    conn.add(stardog.content.File('./test/data/example.ttl'))
    conn.commit()
    results = conn.select('select * { ?a ?p ?o }')

  db.drop()

There is a Jupyter notebook and instructions in the notebooks directory of this repository.