An asynchronous SPARQL library using aiohttp
Project description
An asynchronous SPARQL library using aiohttp
Synopsis
from aiosparql.syntax import (
IRI, Namespace, Node, PrefixedName, RDF, RDFTerm, Triples)
# define a namespace
class Boo(Namespace):
__iri__ = IRI("http://boo#")
SomeClass = PrefixedName
website = PrefixedName
label = PrefixedName
# create a node
node = Node("<subject>", {
RDF.type: Boo.SomeClass,
Boo.website: IRI("http://example.org"),
Boo.label: "some label", # "some label" will be automatically escaped
})
# missing prefixed names will show on your IDE and fail on execution
print(Boo.something) # AttributeError!
# create triples
triples = Triples([("s", "p", "o")]) # o is automatically escaped
triples.append(("s", Boo.website, IRI("http://example.org")))
triples.extend([("s", Boo.website, IRI("http://example.org"))])
print(triples) # print the triples is a format usable directly in a SPARQL
# query. It also groups by subject automatically for you
from aiosparql.client import SPARQLClient
client = SPARQLClient("http://dbpedia.org/sparql")
result = await client.query("select * where {?s ?p ?o} limit 1")
# result is a dict of the JSON result
result = await client.update("""
with {{graph}}
insert data {
{{}}
}
""", triples)
# the triples will be automatically indented to produce a beautiful query
from aiosparql.escape import escape_any
print(escape_any(True)) # "true"
print(escape_any("foo")) # "foo"
print(escape_any(5)) # "5"
print(escape_any(5.5)) # "5.5"^^xsd:double
Installation
User space installation
easy_install --user aiosparqlSystem wide installation
easy_install aiosparql
Requirements
Python >= 3.5
Credits
This software has been produced by Dacota One.
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