rdflib.tools package

Submodules

rdflib.tools.chunk_serializer module

This file provides a single function serialize_in_chunks() which can serialize a Graph into a number of NT files with a maximum number of triples or maximum file size.

There is an option to preserve any prefixes declared for the original graph in the first file, which will be a Turtle file.

rdflib.tools.chunk_serializer.serialize_in_chunks(g, max_triples=10000, max_file_size_kb=None, file_name_stem='chunk', output_dir=None, write_prefixes=False)[source]

Serializes a given Graph into a series of n-triples with a given length.

Parameters:

  • g (Graph) – The graph to serialize.

  • max_file_size_kb (Optional[int]) – Maximum size per NT file in kB (1,000 bytes) Equivalent to ~6,000 triples, depending on Literal sizes.

  • max_triples (int) –

    Maximum size per NT file in triples Equivalent to lines in file.

    If both this parameter and max_file_size_kb are set, max_file_size_kb will be used.

  • file_name_stem (str) – Prefix of each file name. e.g. “chunk” = chunk_000001.nt, chunk_000002.nt…

  • output_dir (Optional[Path]) – The directory you want the files to be written to.

  • write_prefixes (bool) – The first file created is a Turtle file containing original graph prefixes.

Return type:

None

See ../test/test_tools/test_chunk_serializer.py for examples of this in use.

rdflib.tools.csv2rdf module

A commandline tool for semi-automatically converting CSV to RDF.

See also https://github.com/RDFLib/pyTARQL in the RDFlib family of tools

try: csv2rdf --help

class rdflib.tools.csv2rdf.CSV2RDF[source]

Bases: object

__dict__ = mappingproxy({'__module__': 'rdflib.tools.csv2rdf', '__init__': <function CSV2RDF.__init__>, 'triple': <function CSV2RDF.triple>, 'convert': <function CSV2RDF.convert>, '__dict__': <attribute '__dict__' of 'CSV2RDF' objects>, '__weakref__': <attribute '__weakref__' of 'CSV2RDF' objects>, '__doc__': None, '__annotations__': {'IDENT': 'Union[Tuple[str, ...], str]'}})
__init__()[source]
__module__ = 'rdflib.tools.csv2rdf'
__weakref__

list of weak references to the object (if defined)

convert(csvreader)[source]
triple(s, p, o)[source]

rdflib.tools.defined_namespace_creator module

This rdflib Python script creates a DefinedNamespace Python file from a given RDF file

It is a very simple script: it finds all things defined in the RDF file within a given namespace:

<thing> a ?x

where ?x is anything and <thing> starts with the given namespace

Nicholas J. Car, Dec, 2021

rdflib.tools.defined_namespace_creator.get_target_namespace_elements(g, target_namespace)[source]
Parameters:

  • g (Graph) –

  • target_namespace (str) –

Return type:

Tuple[List[Tuple[str, str]], List[str], List[str]]

rdflib.tools.defined_namespace_creator.make_dn_file(output_file_name, target_namespace, elements_strs, non_python_elements_strs, object_id, fail)[source]
Parameters:

  • output_file_name (Path) –

  • target_namespace (str) –

  • elements_strs (Iterable[str]) –

  • non_python_elements_strs (List[str]) –

  • object_id (str) –

  • fail (bool) –

Return type:

None

rdflib.tools.defined_namespace_creator.validate_namespace(namespace)[source]
Parameters:

namespace (str) –

Return type:

None

rdflib.tools.defined_namespace_creator.validate_object_id(object_id)[source]
Parameters:

object_id (str) –

Return type:

None

rdflib.tools.graphisomorphism module

A commandline tool for testing if RDF graphs are isomorpic, i.e. equal if BNode labels are ignored.

class rdflib.tools.graphisomorphism.IsomorphicTestableGraph(**kargs)[source]

Bases: Graph

Ported from: http://www.w3.org/2001/sw/DataAccess/proto-tests/tools/rdfdiff.py (Sean B Palmer’s RDF Graph Isomorphism Tester)

__abstractmethods__ = frozenset({})
__eq__(G)[source]

Graph isomorphism testing.

__hash__ = None
__init__(**kargs)[source]
__module__ = 'rdflib.tools.graphisomorphism'
__ne__(G)[source]

Negative graph isomorphism testing.

base: Optional[str]
context_aware: bool
default_union: bool
formula_aware: bool
hashtriples()[source]
internal_hash()[source]

This is defined instead of __hash__ to avoid a circular recursion scenario with the Memory store for rdflib which requires a hash lookup in order to return a generator of triples

vhash(term, done=False)[source]
vhashtriple(triple, term, done)[source]
vhashtriples(term, done)[source]
rdflib.tools.graphisomorphism.main()[source]

rdflib.tools.rdf2dot module

A commandline tool for drawing RDF graphs in Graphviz DOT format

You can draw the graph of an RDF file directly:

rdflib.tools.rdf2dot.main()[source]
rdflib.tools.rdf2dot.rdf2dot(g, stream, opts={})[source]

Convert the RDF graph to DOT writes the dot output to the stream

Parameters:

rdflib.tools.rdfpipe module

A commandline tool for parsing RDF in different formats and serializing the resulting graph to a chosen format.

rdflib.tools.rdfpipe.main()[source]
rdflib.tools.rdfpipe.make_option_parser()[source]
rdflib.tools.rdfpipe.parse_and_serialize(input_files, input_format, guess, outfile, output_format, ns_bindings, store_conn='', store_type=None)[source]

rdflib.tools.rdfs2dot module

A commandline tool for drawing RDFS Class diagrams in Graphviz DOT format

You can draw the graph of an RDFS file directly:

rdflib.tools.rdfs2dot.main()[source]
rdflib.tools.rdfs2dot.rdfs2dot(g, stream, opts={})[source]

Convert the RDFS schema in a graph writes the dot output to the stream

Module contents

Various commandline tools for working with RDFLib