semvec/pypi-packages huggingface dataset:
aiosparql 0.12.0
An asynchronous SPARQL library using aiohttp
License: Apache 2
Requires Python: >=3.6.0

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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

Testing
-------

In order for the tests to run, you must have the following Docker containers started:

   ::

      docker run -d --name travis-virtuoso -p 8890:8890 -e SPARQL_UPDATE=true tenforce/virtuoso:1.2.0-virtuoso7.2.2
      docker run -d -p 3030:3030 --name travis-fuseki -e ADMIN_PASSWORD=PASSWORD -e ENABLE_DATA_WRITE=true -e ENABLE_UPDATE=true -e ENABLE_UPLOAD=true secoresearch/fuseki


Credits
-------

This software has been produced by `Dacota One <http://www.dacota.one/>`_.