使用aiohttp的异步sparql库
aiosparql的Python项目详细描述
使用一个异步的函数库
要求
概要
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
安装
User space installation
easy_install --user aiosparqlSystem wide installation
easy_install aiosparql
要求
- Python >= 3.5
- Python >= 3.5
学分
这个软件是由Dacota One生产的。