pymantic.parsers.jsonld¶

Parse RDF serialized as jsonld

Usage:

from pymantic.parsers.jsonld import jsonld_parser
graph = jsonld_parser.parse_json(json.load(io.open('file.jsonld', mode='rt')))

class pymantic.parsers.jsonld.PyLDLoader(*args, **kwargs)[source]¶

pymantic.parsers.lark.base¶

class pymantic.parsers.lark.base.LarkParser(lark)[source]¶

Provide a consistent interface for parsing serialized RDF using one of the lark parsers.

line_by_line_parser(stream)[source]¶

parse(string_or_stream, graph=None)[source]¶

Parse a string or file-like object into RDF primitives and add them to either the provided graph or a new graph.

parse_string(string_or_bytes, graph=None)[source]¶

Parse a string, decoding it from bytes to UTF-8 if necessary.

pymantic.parsers.lark.ntriples¶

Parse RDF serialized as ntriples files.

Usage:

from pymantic.parsers.lark import ntriples_parser
graph = ntriples_parser.parse(io.open('a_file.nt', mode='rt'))
graph2 = ntriples_parser.parse("<http://a.example/s> <http://a.example/p> <http://a.example/o> .")

If .parse() is called with a file-like object implementing readline, it will efficiently parse line by line rather than parsing the entire file.

class pymantic.parsers.lark.ntriples.NTriplesTransformer(environment=None)[source]¶

Transform the tokenized ntriples into RDF primitives.

blank_node_label(children)[source]¶

iriref(children)[source]¶

literal(children)[source]¶

triple(children)[source]¶

triples_start(children)[source]¶

pymantic.parsers.lark.nquads¶

Parse RDF serialized as nquads files.

Usage:

from pymantic.parsers.lark import nquads_parser
graph = nquads_parser.parse(io.open('a_file.nq', mode='rt'))
graph2 = nquads_parser.parse("<http://a.example/s> <http://a.example/p> <http://a.example/o> <http://a.example/g> .")

If .parse() is called with a file-like object implementing readline, it will efficiently parse line by line rather than parsing the entire file.

class pymantic.parsers.lark.nquads.NQuadsTransformer(environment=None)[source]¶

Transform the tokenized nquads into RDF primitives.

quad(children)[source]¶

quads_start(children)[source]¶

pymantic.parsers.lark.turtle¶

Parse RDF serialized as turtle files.

Usage:

from pymantic.parsers.lark import turtle_parser
graph = turtle_parser.parse(io.open('a_file.ttl', mode='rt'))
graph2 = turtle_parser.parse("""@prefix p: <http://a.example/s>.
p: <http://a.example/p> <http://a.example/o> .""")

Unlike pymantic.parsers.lark.ntriples, this parser cannot efficiently parse turtle line by line. If a file-like object is provided, the entire file will be read into memory and parsed there.

class pymantic.parsers.lark.turtle.TurtleTransformer(base_iri=u'')[source]¶

base(children)[source]¶

blank_node(children)[source]¶

blank_node_property_list(children)[source]¶

boolean_literal(children)[source]¶

collection(children)[source]¶

decode_iriref(iriref)[source]¶

iri(children)[source]¶

numeric_literal(children)[source]¶

predicate_object_list(children)[source]¶

prefix_id(children)[source]¶

prefixed_name(children)[source]¶

rdf_literal(children)[source]¶

sparql_base(children)[source]¶

sparql_prefix(children)[source]¶

string(children)[source]¶

triples(children)[source]¶

turtle_doc(children)[source]¶

pymantic.parsers.lark.turtle.parse(string_or_stream, graph=None, base=u'')[source]¶

pymantic.parsers.lark.turtle.parse_string(string_or_bytes, graph=None, base=u'')[source]¶

pymantic.parsers.lark.turtle.unpack_predicate_object_list(subject, pol)[source]¶

pymantic.parsers.lark.turtle.validate_iri(iri)[source]¶