SPARQLWrapper is a simple Python wrapper around a SPARQL service to remotelly execute your queries.
It helps in creating the query invokation and, possibly, convert the result into a more manageable format.
From PyPi:
$ pip install sparqlwrapper
From GitHub::
$ pip install git+https://github.com/rdflib/sparqlwrapper#egg=sparqlwrapper
From Debian
$ sudo apt-get install python-sparqlwrapper
Create an instance to execute your query (SELECT, ASK, CONSTRUCT, DESCRIBE):
from SPARQLWrapper import SPARQLWrapper, JSON
sparql = SPARQLWrapper("http://dbpedia.org/sparql")
sparql.setQuery("""
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?label
WHERE { <http://dbpedia.org/resource/Asturias> rdfs:label ?label }
""")
sparql.setReturnFormat(JSON)
results = sparql.query().convert()
for result in results["results"]["bindings"]:
print('%s: %s' % (result["label"]["xml:lang"], result["label"]["value"]))from SPARQLWrapper import SPARQLWrapper, XML
sparql = SPARQLWrapper("http://dbpedia.org/sparql")
sparql.setQuery("""
ASK WHERE {
<http://dbpedia.org/resource/Asturias> rdfs:label "Asturias"@es
}
""")
sparql.setReturnFormat(XML)
results = sparql.query().convert()
print results.toxml()from SPARQLWrapper import SPARQLWrapper, RDFXML
from rdflib import Graph
sparql = SPARQLWrapper("http://dbpedia.org/sparql")
sparql.setQuery("""
PREFIX dbo: <http://dbpedia.org/ontology/>
PREFIX schema: <http://schema.org/>
CONSTRUCT {
?lang a schema:Language ;
schema:alternateName ?iso6391Code .
}
WHERE {
?lang a dbo:Language ;
dbo:iso6391Code ?iso6391Code .
FILTER (STRLEN(?iso6391Code)=2) # to filter out non-valid values
}
""")
sparql.setReturnFormat(RDFXML)
results = sparql.query().convert()
print(results.serialize(format='xml'))from SPARQLWrapper import SPARQLWrapper, N3
from rdflib import Graph
sparql = SPARQLWrapper("http://dbpedia.org/sparql")
sparql.setQuery("""
DESCRIBE <http://dbpedia.org/resource/Asturias>
""")
sparql.setReturnFormat(N3)
results = sparql.query().convert()
g = Graph()
g.parse(data=results, format="n3")
print(g.serialize(format='n3'))from SPARQLWrapper import SPARQLWrapper, POST, DIGEST
sparql = SPARQLWrapper("https://example.org/sparql-auth")
sparql.setHTTPAuth(DIGEST)
sparql.setCredentials("login", "password")
sparql.setMethod(POST)
sparql.setQuery("""
WITH <http://example.graph>
DELETE
{ <http://dbpedia.org/resource/Asturias> rdfs:label "Asturies"@ast }
""")
results = sparql.query()
print results.response.read()There is also a SPARQLWrapper2 class that works with JSON SELECT results only and wraps the results to make processing of average queries a bit simpler.
from SPARQLWrapper import SPARQLWrapper2
sparql = SPARQLWrapper2("http://dbpedia.org/sparql")
sparql.setQuery("""
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?label
WHERE { <http://dbpedia.org/resource/Asturias> rdfs:label ?label }
""")
for result in sparql.query().bindings:
print('%s: %s' % (result["label"].lang, result["label"].value))The source distribution contains:
-
SPARQLWrapper: the Python library. You should copy the directory somewhere into yourPYTHONPATH. Alternatively, you can also run the distutils scripts:python setup.py install
-
test: some unit and integrations tests -
script: some scripts to run the library against some SPARQL endpoints.
The SPARQLWrapper documentation is available online at https://rdflib.github.io/sparqlwrapper/doc/latest/.
The package is licensed under W3C license.