Skip to main content

An asynchronous SPARQL library using aiohttp

Project description

License Build Status Code Coverage

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 aiosparql
  • System wide installation

    easy_install aiosparql

Requirements

  • Python >= 3.5

Credits

This software has been produced by Dacota One.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

aiosparql-0.11.0a0.tar.gz (16.6 kB view hashes)

Uploaded Source

Built Distribution

aiosparql-0.11.0a0-py3-none-any.whl (11.2 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page