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Store implementation for RDFlib using Django models as its backend (fork)

Project description

fork from rdflib-django with multi store architecture, python3 and recent rdflib compatibility.

A store implementation for rdflib that uses Django as its backend.

The current implementation is context-aware but not formula-aware.

The implementation assumes that contexts are used for named graphs.

https://secure.travis-ci.org/devkral/rdflib-django3.png

Quick start

Install rdflib-django3 with your package manager:

pip install rdflib-django3

Add rdflib_django to your INSTALLED_APPS:

INSTALLED_APPS = (
    # other apps
    'rdflib_django'.
)

You can now use the following examples to obtain a graph.

Getting a graph using rdflib’s store API:

from rdflib import Graph
graph = Graph('Django', identifier="fooo")
graph.open(create=True)

This example will give you a graph identified by a blank node within the default store.

Getting a conjunctive graph using rdflib’s store API:

from rdflib import ConjunctiveGraph
graph = ConjunctiveGraph('Django')

This example will give you a conjunctive graph in the default store.

Getting a named graph using rdflib-django’s API:

from rdflib_django import utils
graph = utils.get_named_graph('http://example.com')

Getting the conjunctive graph using rdflib-django3’s API:

from rdflib_django import utils
graph = utils.get_conjunctive_graph()

Management commands

rdflib-django3 includes two management commands to import and export RDF:

$ python manage.py import_rdf --context=http://example.com my_file.rdf
$ python manage.py export_rdf --context=http://example.com

License

rdflib-django3 is licensed under the MIT license.

Project details


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