Store implementation for RDFlib using Django models as its backend (fork)
Project description
rdflib-django3
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.
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
.
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