"""
This module defines the different types of terms. Terms are the kinds of
objects that can appear in a quoted/asserted triple. This includes those
that are core to RDF:
* :class:`Blank Nodes <rdflib.term.BNode>`
* :class:`URI References <rdflib.term.URIRef>`
* :class:`Literals <rdflib.term.Literal>` (which consist of a literal value,datatype and language tag)
Those that extend the RDF model into N3:
* :class:`Formulae <rdflib.graph.QuotedGraph>`
* :class:`Universal Quantifications (Variables) <rdflib.term.Variable>`
And those that are primarily for matching against 'Nodes' in the
underlying Graph:
* REGEX Expressions
* Date Ranges
* Numerical Ranges
"""
import re
from fractions import Fraction
__all__ = [
"bind",
"_is_valid_uri",
"Node",
"IdentifiedNode",
"Identifier",
"URIRef",
"BNode",
"Literal",
"Variable",
]
import logging
import math
import warnings
import xml.dom.minidom
from base64 import b64decode, b64encode
from binascii import hexlify, unhexlify
from collections import defaultdict
from datetime import date, datetime, time, timedelta
from decimal import Decimal
from re import compile, sub
from typing import (
TYPE_CHECKING,
Any,
Callable,
Dict,
List,
Optional,
Tuple,
Type,
TypeVar,
Union,
)
from urllib.parse import urldefrag, urljoin, urlparse
from isodate import (
Duration,
duration_isoformat,
parse_date,
parse_datetime,
parse_duration,
parse_time,
)
import rdflib
import rdflib.util
from rdflib.compat import long_type
if TYPE_CHECKING:
from .namespace import NamespaceManager
from .paths import AlternativePath, InvPath, NegatedPath, Path, SequencePath
_HAS_HTML5LIB = False
try:
import html5lib
_HAS_HTML5LIB = True
except ImportError:
html5lib = None
_SKOLEM_DEFAULT_AUTHORITY = "https://rdflib.github.io"
logger = logging.getLogger(__name__)
skolem_genid = "/.well-known/genid/"
rdflib_skolem_genid = "/.well-known/genid/rdflib/"
skolems: Dict[str, "BNode"] = {}
_invalid_uri_chars = '<>" {}|\\^`'
def _is_valid_uri(uri: str) -> bool:
for c in _invalid_uri_chars:
if c in uri:
return False
return True
_lang_tag_regex = compile("^[a-zA-Z]+(?:-[a-zA-Z0-9]+)*$")
def _is_valid_langtag(tag: str) -> bool:
return bool(_lang_tag_regex.match(tag))
def _is_valid_unicode(value: Union[str, bytes]) -> bool:
"""
Verify that the provided value can be converted into a Python
unicode object.
"""
if isinstance(value, bytes):
coding_func, param = getattr(value, "decode"), "utf-8"
else:
coding_func, param = str, value
# try to convert value into unicode
try:
coding_func(param)
except UnicodeError:
return False
return True
[docs]class Node:
"""
A Node in the Graph.
"""
__slots__ = ()
[docs]class Identifier(Node, str): # allow Identifiers to be Nodes in the Graph
"""
See http://www.w3.org/2002/07/rdf-identifer-terminology/
regarding choice of terminology.
"""
__slots__ = ()
[docs] def __new__(cls, value: str) -> "Identifier":
return str.__new__(cls, value)
[docs] def eq(self, other: Any) -> bool:
"""A "semantic"/interpreted equality function,
by default, same as __eq__"""
return self.__eq__(other)
[docs] def neq(self, other: Any) -> bool:
"""A "semantic"/interpreted not equal function,
by default, same as __ne__"""
return self.__ne__(other)
[docs] def __ne__(self, other: Any) -> bool:
return not self.__eq__(other)
[docs] def __eq__(self, other: Any) -> bool:
"""
Equality for Nodes.
>>> BNode("foo")==None
False
>>> BNode("foo")==URIRef("foo")
False
>>> URIRef("foo")==BNode("foo")
False
>>> BNode("foo")!=URIRef("foo")
True
>>> URIRef("foo")!=BNode("foo")
True
>>> Variable('a')!=URIRef('a')
True
>>> Variable('a')!=Variable('a')
False
"""
if type(self) == type(other):
return str(self) == str(other)
else:
return False
[docs] def __gt__(self, other: Any) -> bool:
"""
This implements ordering for Nodes,
This tries to implement this:
http://www.w3.org/TR/sparql11-query/#modOrderBy
Variables are not included in the SPARQL list, but
they are greater than BNodes and smaller than everything else
"""
if other is None:
return True # everything bigger than None
elif type(self) == type(other):
return str(self) > str(other)
elif isinstance(other, Node):
return _ORDERING[type(self)] > _ORDERING[type(other)]
return NotImplemented
[docs] def __lt__(self, other: Any) -> bool:
if other is None:
return False # Nothing is less than None
elif type(self) == type(other):
return str(self) < str(other)
elif isinstance(other, Node):
return _ORDERING[type(self)] < _ORDERING[type(other)]
return NotImplemented
[docs] def __le__(self, other: Any) -> bool:
r = self.__lt__(other)
if r:
return True
return self == other
[docs] def __ge__(self, other: Any) -> bool:
r = self.__gt__(other)
if r:
return True
return self == other
# type error: Argument 1 of "startswith" is incompatible with supertype "str"; supertype defines the argument type as "Union[str, Tuple[str, ...]]"
# FIXME: this does not accommodate prefix of type Tuple[str, ...] which is a
# valid for str.startswith
[docs] def startswith(self, prefix: str, start=..., end=...) -> bool: # type: ignore[override] # FIXME
return str(self).startswith(str(prefix))
# use parent's hash for efficiency reasons
# clashes of 'foo', URIRef('foo') and Literal('foo') are typically so rare
# that they don't justify additional overhead. Notice that even in case of
# clash __eq__ is still the fallback and very quick in those cases.
__hash__ = str.__hash__
[docs]class IdentifiedNode(Identifier):
"""
An abstract class, primarily defined to identify Nodes that are not Literals.
The name "Identified Node" is not explicitly defined in the RDF specification, but can be drawn from this section: https://www.w3.org/TR/rdf-concepts/#section-URI-Vocabulary
"""
[docs] def __getnewargs__(self) -> Tuple[str]:
return (str(self),)
[docs] def toPython(self) -> str: # noqa: N802
return str(self)
[docs]class URIRef(IdentifiedNode):
"""
RDF 1.1's IRI Section https://www.w3.org/TR/rdf11-concepts/#section-IRIs
.. note:: Documentation on RDF outside of RDFLib uses the term IRI or URI whereas this class is called URIRef. This is because it was made when the first version of the RDF specification was current, and it used the term *URIRef*, see `RDF 1.0 URIRef <http://www.w3.org/TR/rdf-concepts/#section-Graph-URIref>`_
An IRI (Internationalized Resource Identifier) within an RDF graph is a Unicode string that conforms to the syntax defined in RFC 3987.
IRIs in the RDF abstract syntax MUST be absolute, and MAY contain a fragment identifier.
IRIs are a generalization of URIs [RFC3986] that permits a wider range of Unicode characters.
"""
__slots__ = ()
__or__: Callable[["URIRef", Union["URIRef", "Path"]], "AlternativePath"]
__invert__: Callable[["URIRef"], "InvPath"]
__neg__: Callable[["URIRef"], "NegatedPath"]
__truediv__: Callable[["URIRef", Union["URIRef", "Path"]], "SequencePath"]
[docs] def __new__(cls, value: str, base: Optional[str] = None) -> "URIRef":
if base is not None:
ends_in_hash = value.endswith("#")
# type error: Argument "allow_fragments" to "urljoin" has incompatible type "int"; expected "bool"
value = urljoin(base, value, allow_fragments=1) # type: ignore[arg-type]
if ends_in_hash:
if not value.endswith("#"):
value += "#"
if not _is_valid_uri(value):
logger.warning(
"%s does not look like a valid URI, trying to serialize this will break."
% value
)
try:
rt = str.__new__(cls, value)
except UnicodeDecodeError:
# type error: No overload variant of "__new__" of "str" matches argument types "Type[URIRef]", "str", "str"
rt = str.__new__(cls, value, "utf-8") # type: ignore[call-overload]
return rt
[docs] def n3(self, namespace_manager: Optional["NamespaceManager"] = None) -> str:
"""
This will do a limited check for valid URIs,
essentially just making sure that the string includes no illegal
characters (``<, >, ", {, }, |, \\, `, ^``)
:param namespace_manager: if not None, will be used to make up
a prefixed name
"""
if not _is_valid_uri(self):
raise Exception(
'"%s" does not look like a valid URI, I cannot serialize this as N3/Turtle. Perhaps you wanted to urlencode it?'
% self
)
if namespace_manager:
return namespace_manager.normalizeUri(self)
else:
return "<%s>" % self
[docs] def defrag(self) -> "URIRef":
if "#" in self:
url, frag = urldefrag(self)
return URIRef(url)
else:
return self
@property
def fragment(self) -> str:
"""
Return the URL Fragment
>>> URIRef("http://example.com/some/path/#some-fragment").fragment
'some-fragment'
>>> URIRef("http://example.com/some/path/").fragment
''
"""
return urlparse(self).fragment
[docs] def __reduce__(self) -> Tuple[Type["URIRef"], Tuple[str]]:
return (URIRef, (str(self),))
[docs] def __repr__(self) -> str:
if self.__class__ is URIRef:
clsName = "rdflib.term.URIRef" # noqa: N806
else:
clsName = self.__class__.__name__ # noqa: N806
return """%s(%s)""" % (clsName, super(URIRef, self).__repr__())
[docs] def __add__(self, other) -> "URIRef":
return self.__class__(str(self) + other)
[docs] def __radd__(self, other) -> "URIRef":
return self.__class__(other + str(self))
[docs] def __mod__(self, other) -> "URIRef":
return self.__class__(str(self) % other)
[docs] def de_skolemize(self) -> "BNode":
"""Create a Blank Node from a skolem URI, in accordance
with http://www.w3.org/TR/rdf11-concepts/#section-skolemization.
This function accepts only rdflib type skolemization, to provide
a round-tripping within the system.
.. versionadded:: 4.0
"""
if isinstance(self, RDFLibGenid):
parsed_uri = urlparse("%s" % self)
return BNode(value=parsed_uri.path[len(rdflib_skolem_genid) :])
elif isinstance(self, Genid):
bnode_id = "%s" % self
if bnode_id in skolems:
return skolems[bnode_id]
else:
retval = BNode()
skolems[bnode_id] = retval
return retval
else:
raise Exception("<%s> is not a skolem URI" % self)
class Genid(URIRef):
__slots__ = ()
@staticmethod
def _is_external_skolem(uri: Any) -> bool:
if not isinstance(uri, str):
uri = str(uri)
parsed_uri = urlparse(uri)
gen_id = parsed_uri.path.rfind(skolem_genid)
if gen_id != 0:
return False
return True
class RDFLibGenid(Genid):
__slots__ = ()
@staticmethod
def _is_rdflib_skolem(uri: Any) -> bool:
if not isinstance(uri, str):
uri = str(uri)
parsed_uri = urlparse(uri)
if (
parsed_uri.params != ""
or parsed_uri.query != ""
or parsed_uri.fragment != ""
):
return False
gen_id = parsed_uri.path.rfind(rdflib_skolem_genid)
if gen_id != 0:
return False
return True
def _unique_id() -> str:
# Used to read: """Create a (hopefully) unique prefix"""
# now retained merely to leave internal API unchanged.
# From BNode.__new__() below ...
#
# acceptable bnode value range for RDF/XML needs to be
# something that can be serialzed as a nodeID for N3
#
# BNode identifiers must be valid NCNames" _:[A-Za-z][A-Za-z0-9]*
# http://www.w3.org/TR/2004/REC-rdf-testcases-20040210/#nodeID
return "N" # ensure that id starts with a letter
def _serial_number_generator() -> Callable[[], str]:
"""
Generates UUID4-based but ncname-compliant identifiers.
"""
from uuid import uuid4
def _generator():
return uuid4().hex
return _generator
[docs]class BNode(IdentifiedNode):
"""
RDF 1.1's Blank Nodes Section: https://www.w3.org/TR/rdf11-concepts/#section-blank-nodes
Blank Nodes are local identifiers for unnamed nodes in RDF graphs that are used in
some concrete RDF syntaxes or RDF store implementations. They are always locally
scoped to the file or RDF store, and are not persistent or portable identifiers for
blank nodes. The identifiers for Blank Nodes are not part of the RDF abstract
syntax, but are entirely dependent on particular concrete syntax or implementation
(such as Turtle, JSON-LD).
---
RDFLib's ``BNode`` class makes unique IDs for all the Blank Nodes in a Graph but you
should *never* expect, or reply on, BNodes' IDs to match across graphs, or even for
multiple copies of the same graph, if they are regenerated from some non-RDFLib
source, such as loading from RDF data.
"""
__slots__ = ()
[docs] def __new__(
cls,
value: Optional[str] = None,
_sn_gen: Callable[[], str] = _serial_number_generator(),
_prefix: str = _unique_id(),
) -> "BNode":
"""
# only store implementations should pass in a value
"""
if value is None:
# so that BNode values do not collide with ones created with
# a different instance of this module at some other time.
node_id = _sn_gen()
value = "%s%s" % (_prefix, node_id)
else:
# TODO: check that value falls within acceptable bnode value range
# for RDF/XML needs to be something that can be serialzed
# as a nodeID for N3 ?? Unless we require these
# constraints be enforced elsewhere?
pass # assert is_ncname(str(value)), "BNode identifiers
# must be valid NCNames" _:[A-Za-z][A-Za-z0-9]*
# http://www.w3.org/TR/2004/REC-rdf-testcases-20040210/#nodeID
# type error: Incompatible return value type (got "Identifier", expected "BNode")
return Identifier.__new__(cls, value) # type: ignore[return-value]
[docs] def n3(self, namespace_manager: Optional["NamespaceManager"] = None) -> str:
return "_:%s" % self
[docs] def __reduce__(self) -> Tuple[Type["BNode"], Tuple[str]]:
return (BNode, (str(self),))
[docs] def __repr__(self) -> str:
if self.__class__ is BNode:
clsName = "rdflib.term.BNode" # noqa: N806
else:
clsName = self.__class__.__name__ # noqa: N806
return """%s('%s')""" % (clsName, str(self))
[docs] def skolemize(
self, authority: Optional[str] = None, basepath: Optional[str] = None
) -> URIRef:
"""Create a URIRef "skolem" representation of the BNode, in accordance
with http://www.w3.org/TR/rdf11-concepts/#section-skolemization
.. versionadded:: 4.0
"""
if authority is None:
authority = _SKOLEM_DEFAULT_AUTHORITY
if basepath is None:
basepath = rdflib_skolem_genid
skolem = "%s%s" % (basepath, str(self))
return URIRef(urljoin(authority, skolem))
[docs]class Literal(Identifier):
__doc__ = """
RDF 1.1's Literals Section: http://www.w3.org/TR/rdf-concepts/#section-Graph-Literal
Literals are used for values such as strings, numbers, and dates.
A literal in an RDF graph consists of two or three elements:
* a lexical form, being a Unicode string, which SHOULD be in Normal Form C
* a datatype IRI, being an IRI identifying a datatype that determines how the lexical form maps to a literal value, and
* if and only if the datatype IRI is ``http://www.w3.org/1999/02/22-rdf-syntax-ns#langString``, a non-empty language tag. The language tag MUST be well-formed according to section 2.2.9 of `Tags for identifying languages <http://tools.ietf.org/html/bcp47>`_.
A literal is a language-tagged string if the third element is present. Lexical representations of language tags MAY be converted to lower case. The value space of language tags is always in lower case.
---
For valid XSD datatypes, the lexical form is optionally normalized
at construction time. Default behaviour is set by rdflib.NORMALIZE_LITERALS
and can be overridden by the normalize parameter to __new__
Equality and hashing of Literals are done based on the lexical form, i.e.:
>>> from rdflib.namespace import XSD
>>> Literal('01') != Literal('1') # clear - strings differ
True
but with data-type they get normalized:
>>> Literal('01', datatype=XSD.integer) != Literal('1', datatype=XSD.integer)
False
unless disabled:
>>> Literal('01', datatype=XSD.integer, normalize=False) != Literal('1', datatype=XSD.integer)
True
Value based comparison is possible:
>>> Literal('01', datatype=XSD.integer).eq(Literal('1', datatype=XSD.float))
True
The eq method also provides limited support for basic python types:
>>> Literal(1).eq(1) # fine - int compatible with xsd:integer
True
>>> Literal('a').eq('b') # fine - str compatible with plain-lit
False
>>> Literal('a', datatype=XSD.string).eq('a') # fine - str compatible with xsd:string
True
>>> Literal('a').eq(1) # not fine, int incompatible with plain-lit
NotImplemented
Greater-than/less-than ordering comparisons are also done in value
space, when compatible datatypes are used. Incompatible datatypes
are ordered by DT, or by lang-tag. For other nodes the ordering
is None < BNode < URIRef < Literal
Any comparison with non-rdflib Node are "NotImplemented"
In PY3 this is an error.
>>> from rdflib import Literal, XSD
>>> lit2006 = Literal('2006-01-01',datatype=XSD.date)
>>> lit2006.toPython()
datetime.date(2006, 1, 1)
>>> lit2006 < Literal('2007-01-01',datatype=XSD.date)
True
>>> Literal(datetime.utcnow()).datatype
rdflib.term.URIRef('http://www.w3.org/2001/XMLSchema#dateTime')
>>> Literal(1) > Literal(2) # by value
False
>>> Literal(1) > Literal(2.0) # by value
False
>>> Literal('1') > Literal(1) # by DT
True
>>> Literal('1') < Literal('1') # by lexical form
False
>>> Literal('a', lang='en') > Literal('a', lang='fr') # by lang-tag
False
>>> Literal(1) > URIRef('foo') # by node-type
True
The > < operators will eat this NotImplemented and throw a TypeError (py3k):
>>> Literal(1).__gt__(2.0)
NotImplemented
"""
_value: Any
_language: Optional[str]
# NOTE: _datatype should maybe be of type URIRef, and not optional.
_datatype: Optional[URIRef]
_ill_typed: Optional[bool]
__slots__ = ("_language", "_datatype", "_value", "_ill_typed")
[docs] def __new__(
cls,
lexical_or_value: Any,
lang: Optional[str] = None,
datatype: Optional[str] = None,
normalize: Optional[bool] = None,
) -> "Literal":
if lang == "":
lang = None # no empty lang-tags in RDF
normalize = normalize if normalize is not None else rdflib.NORMALIZE_LITERALS
if lang is not None and datatype is not None:
raise TypeError(
"A Literal can only have one of lang or datatype, "
"per http://www.w3.org/TR/rdf-concepts/#section-Graph-Literal"
)
if lang is not None and not _is_valid_langtag(lang):
raise ValueError(f"'{str(lang)}' is not a valid language tag!")
if datatype is not None:
datatype = URIRef(datatype)
value = None
ill_typed: Optional[bool] = None
if isinstance(lexical_or_value, Literal):
# create from another Literal instance
lang = lang or lexical_or_value.language
if datatype is not None:
# override datatype
value = _castLexicalToPython(lexical_or_value, datatype)
else:
datatype = lexical_or_value.datatype
value = lexical_or_value.value
elif isinstance(lexical_or_value, str) or isinstance(lexical_or_value, bytes):
# passed a string
# try parsing lexical form of datatyped literal
value = _castLexicalToPython(lexical_or_value, datatype)
if datatype is not None and datatype in _toPythonMapping:
# datatype is a recognized datatype IRI:
# https://www.w3.org/TR/rdf11-concepts/#dfn-recognized-datatype-iris
dt_uri: URIRef = URIRef(datatype)
checker = _check_well_formed_types.get(dt_uri, _well_formed_by_value)
well_formed = checker(lexical_or_value, value)
ill_typed = ill_typed or (not well_formed)
if value is not None and normalize:
_value, _datatype = _castPythonToLiteral(value, datatype)
if _value is not None and _is_valid_unicode(_value):
lexical_or_value = _value
else:
# passed some python object
value = lexical_or_value
_value, _datatype = _castPythonToLiteral(lexical_or_value, datatype)
_datatype = None if _datatype is None else URIRef(_datatype)
datatype = rdflib.util._coalesce(datatype, _datatype)
if _value is not None:
lexical_or_value = _value
if datatype is not None:
lang = None
if isinstance(lexical_or_value, bytes):
lexical_or_value = lexical_or_value.decode("utf-8")
if datatype in (_XSD_NORMALISED_STRING, _XSD_TOKEN):
lexical_or_value = _normalise_XSD_STRING(lexical_or_value)
if datatype in (_XSD_TOKEN,):
lexical_or_value = _strip_and_collapse_whitespace(lexical_or_value)
try:
inst: Literal = str.__new__(cls, lexical_or_value)
except UnicodeDecodeError:
inst = str.__new__(cls, lexical_or_value, "utf-8")
inst._language = lang
inst._datatype = datatype
inst._value = value
inst._ill_typed = ill_typed
return inst
[docs] def normalize(self) -> "Literal":
"""
Returns a new literal with a normalised lexical representation
of this literal
>>> from rdflib import XSD
>>> Literal("01", datatype=XSD.integer, normalize=False).normalize()
rdflib.term.Literal('1', datatype=rdflib.term.URIRef('http://www.w3.org/2001/XMLSchema#integer'))
Illegal lexical forms for the datatype given are simply passed on
>>> Literal("a", datatype=XSD.integer, normalize=False)
rdflib.term.Literal('a', datatype=rdflib.term.URIRef('http://www.w3.org/2001/XMLSchema#integer'))
"""
if self.value is not None:
return Literal(self.value, datatype=self.datatype, lang=self.language)
else:
return self
@property
def ill_typed(self) -> Optional[bool]:
"""
For `recognized datatype IRIs
<https://www.w3.org/TR/rdf11-concepts/#dfn-recognized-datatype-iris>`_,
this value will be `True` if the literal is ill formed, otherwise it
will be `False`. `Literal.value` (i.e. the `literal value <https://www.w3.org/TR/rdf11-concepts/#dfn-literal-value>`_) should always be defined if this property is `False`, but should not be considered reliable if this property is `True`.
If the literal's datatype is `None` or not in the set of `recognized datatype IRIs
<https://www.w3.org/TR/rdf11-concepts/#dfn-recognized-datatype-iris>`_ this value will be `None`.
"""
return self._ill_typed
@property
def value(self) -> Any:
return self._value
@property
def language(self) -> Optional[str]:
return self._language
@property
def datatype(self) -> Optional[URIRef]:
return self._datatype
[docs] def __reduce__(
self,
) -> Tuple[Type["Literal"], Tuple[str, Union[str, None], Union[str, None]]]:
return (
Literal,
(str(self), self.language, self.datatype),
)
[docs] def __getstate__(self) -> Tuple[None, Dict[str, Union[str, None]]]:
return (None, dict(language=self.language, datatype=self.datatype))
[docs] def __setstate__(self, arg: Tuple[Any, Dict[str, Any]]) -> None:
_, d = arg
self._language = d["language"]
self._datatype = d["datatype"]
[docs] def __add__(self, val: Any) -> "Literal":
"""
>>> from rdflib.namespace import XSD
>>> Literal(1) + 1
rdflib.term.Literal('2', datatype=rdflib.term.URIRef('http://www.w3.org/2001/XMLSchema#integer'))
>>> Literal("1") + "1"
rdflib.term.Literal('11')
# Handling dateTime/date/time based operations in Literals
>>> a = Literal('2006-01-01T20:50:00', datatype=XSD.dateTime)
>>> b = Literal('P31D', datatype=XSD.duration)
>>> (a + b)
rdflib.term.Literal('2006-02-01T20:50:00', datatype=rdflib.term.URIRef('http://www.w3.org/2001/XMLSchema#dateTime'))
>>> from rdflib.namespace import XSD
>>> a = Literal('2006-07-01T20:52:00', datatype=XSD.dateTime)
>>> b = Literal('P122DT15H58M', datatype=XSD.duration)
>>> (a + b)
rdflib.term.Literal('2006-11-01T12:50:00', datatype=rdflib.term.URIRef('http://www.w3.org/2001/XMLSchema#dateTime'))
"""
# if no val is supplied, return this Literal
if val is None:
return self
# convert the val to a Literal, if it isn't already one
if not isinstance(val, Literal):
val = Literal(val)
# if self is datetime based and value is duration
if (
self.datatype in (_XSD_DATETIME, _XSD_DATE)
and val.datatype in _TIME_DELTA_TYPES
):
date1: Union[datetime, date] = self.toPython()
duration: Union[Duration, timedelta] = val.toPython()
difference = date1 + duration
return Literal(difference, datatype=self.datatype)
# if self is time based and value is duration
elif self.datatype == _XSD_TIME and val.datatype in _TIME_DELTA_TYPES:
selfv: time = self.toPython()
valv: Union[Duration, timedelta] = val.toPython()
sdt = datetime.combine(date(2000, 1, 1), selfv) + valv
return Literal(sdt.time(), datatype=self.datatype)
# if self is datetime based and value is not or vice versa
elif (
(
self.datatype in _ALL_DATE_AND_TIME_TYPES
and val.datatype not in _ALL_DATE_AND_TIME_TYPES
)
or (
self.datatype not in _ALL_DATE_AND_TIME_TYPES
and val.datatype in _ALL_DATE_AND_TIME_TYPES
)
or (
self.datatype in _TIME_DELTA_TYPES
and (
(val.datatype not in _TIME_DELTA_TYPES)
or (self.datatype != val.datatype)
)
)
):
raise TypeError(
f"Cannot add a Literal of datatype {str(val.datatype)} to a Literal of datatype {str(self.datatype)}"
)
# if the datatypes are the same, just add the Python values and convert back
if self.datatype == val.datatype:
return Literal(
self.toPython() + val.toPython(), self.language, datatype=self.datatype
)
# if the datatypes are not the same but are both numeric, add the Python values and strip off decimal junk
# (i.e. tiny numbers (more than 17 decimal places) and trailing zeros) and return as a decimal
elif (
self.datatype in _NUMERIC_LITERAL_TYPES
and val.datatype in _NUMERIC_LITERAL_TYPES
):
return Literal(
Decimal(
(
"%f"
% round(Decimal(self.toPython()) + Decimal(val.toPython()), 15)
)
.rstrip("0")
.rstrip(".")
),
datatype=_XSD_DECIMAL,
)
# in all other cases, perform string concatenation
else:
try:
s = str.__add__(self, val)
except TypeError:
s = str(self.value) + str(val)
# if the original datatype is string-like, use that
if self.datatype in _STRING_LITERAL_TYPES:
new_datatype = self.datatype
# if not, use string
else:
new_datatype = _XSD_STRING
return Literal(s, self.language, datatype=new_datatype)
[docs] def __sub__(self, val: Any) -> "Literal":
"""
>>> from rdflib.namespace import XSD
>>> Literal(2) - 1
rdflib.term.Literal('1', datatype=rdflib.term.URIRef('http://www.w3.org/2001/XMLSchema#integer'))
>>> Literal(1.1) - 1.0
rdflib.term.Literal('0.10000000000000009', datatype=rdflib.term.URIRef('http://www.w3.org/2001/XMLSchema#double'))
>>> Literal(1.1) - 1
rdflib.term.Literal('0.1', datatype=rdflib.term.URIRef('http://www.w3.org/2001/XMLSchema#decimal'))
>>> Literal(1.1, datatype=XSD.float) - Literal(1.0, datatype=XSD.float)
rdflib.term.Literal('0.10000000000000009', datatype=rdflib.term.URIRef('http://www.w3.org/2001/XMLSchema#float'))
>>> Literal("1.1") - 1.0 # doctest: +IGNORE_EXCEPTION_DETAIL
Traceback (most recent call last):
...
TypeError: Not a number; rdflib.term.Literal('1.1')
>>> Literal(1.1, datatype=XSD.integer) - Literal(1.0, datatype=XSD.integer)
rdflib.term.Literal('0.10000000000000009', datatype=rdflib.term.URIRef('http://www.w3.org/2001/XMLSchema#integer'))
# Handling dateTime/date/time based operations in Literals
>>> a = Literal('2006-01-01T20:50:00', datatype=XSD.dateTime)
>>> b = Literal('2006-02-01T20:50:00', datatype=XSD.dateTime)
>>> (b - a)
rdflib.term.Literal('P31D', datatype=rdflib.term.URIRef('http://www.w3.org/2001/XMLSchema#duration'))
>>> from rdflib.namespace import XSD
>>> a = Literal('2006-07-01T20:52:00', datatype=XSD.dateTime)
>>> b = Literal('2006-11-01T12:50:00', datatype=XSD.dateTime)
>>> (a - b)
rdflib.term.Literal('-P122DT15H58M', datatype=rdflib.term.URIRef('http://www.w3.org/2001/XMLSchema#duration'))
>>> (b - a)
rdflib.term.Literal('P122DT15H58M', datatype=rdflib.term.URIRef('http://www.w3.org/2001/XMLSchema#duration'))
"""
# if no val is supplied, return this Literal
if val is None:
return self
# convert the val to a Literal, if it isn't already one
if not isinstance(val, Literal):
val = Literal(val)
if not getattr(self, "datatype"):
raise TypeError(
"Minuend Literal must have Numeric, Date, Datetime or Time datatype."
)
elif not getattr(val, "datatype"):
raise TypeError(
"Subtrahend Literal must have Numeric, Date, Datetime or Time datatype."
)
if (
self.datatype in (_XSD_DATETIME, _XSD_DATE)
and val.datatype in _TIME_DELTA_TYPES
):
date1: Union[datetime, date] = self.toPython()
duration: Union[Duration, timedelta] = val.toPython()
difference = date1 - duration
return Literal(difference, datatype=self.datatype)
# if self is time based and value is duration
elif self.datatype == _XSD_TIME and val.datatype in _TIME_DELTA_TYPES:
selfv: time = self.toPython()
valv: Union[Duration, timedelta] = val.toPython()
sdt = datetime.combine(date(2000, 1, 1), selfv) - valv
return Literal(sdt.time(), datatype=self.datatype)
# if the datatypes are the same, just subtract the Python values and convert back
if self.datatype == val.datatype:
if self.datatype == _XSD_TIME:
sdt = datetime.combine(date.today(), self.toPython())
vdt = datetime.combine(date.today(), val.toPython())
return Literal(sdt - vdt, datatype=_XSD_DURATION)
else:
return Literal(
self.toPython() - val.toPython(),
self.language,
datatype=_XSD_DURATION
if self.datatype in (_XSD_DATETIME, _XSD_DATE, _XSD_TIME)
else self.datatype,
)
# if the datatypes are not the same but are both numeric, subtract the Python values and strip off decimal junk
# (i.e. tiny numbers (more than 17 decimal places) and trailing zeros) and return as a decimal
elif (
self.datatype in _NUMERIC_LITERAL_TYPES
and val.datatype in _NUMERIC_LITERAL_TYPES
):
return Literal(
Decimal(
(
"%f"
% round(Decimal(self.toPython()) - Decimal(val.toPython()), 15)
)
.rstrip("0")
.rstrip(".")
),
datatype=_XSD_DECIMAL,
)
# in all other cases, perform string concatenation
else:
raise TypeError(
f"Cannot subtract a Literal of datatype {str(val.datatype)} from a Literal of datatype {str(self.datatype)}"
)
[docs] def __bool__(self) -> bool:
"""
Is the Literal "True"
This is used for if statements, bool(literal), etc.
"""
if self.value is not None:
return bool(self.value)
return len(self) != 0
[docs] def __neg__(self) -> "Literal":
"""
>>> (- Literal(1))
rdflib.term.Literal('-1', datatype=rdflib.term.URIRef('http://www.w3.org/2001/XMLSchema#integer'))
>>> (- Literal(10.5))
rdflib.term.Literal('-10.5', datatype=rdflib.term.URIRef('http://www.w3.org/2001/XMLSchema#double'))
>>> from rdflib.namespace import XSD
>>> (- Literal("1", datatype=XSD.integer))
rdflib.term.Literal('-1', datatype=rdflib.term.URIRef('http://www.w3.org/2001/XMLSchema#integer'))
>>> (- Literal("1"))
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
TypeError: Not a number; rdflib.term.Literal('1')
>>>
"""
if isinstance(self.value, (int, long_type, float)):
return Literal(self.value.__neg__())
else:
raise TypeError("Not a number; %s" % repr(self))
[docs] def __pos__(self) -> "Literal":
"""
>>> (+ Literal(1))
rdflib.term.Literal('1', datatype=rdflib.term.URIRef('http://www.w3.org/2001/XMLSchema#integer'))
>>> (+ Literal(-1))
rdflib.term.Literal('-1', datatype=rdflib.term.URIRef('http://www.w3.org/2001/XMLSchema#integer'))
>>> from rdflib.namespace import XSD
>>> (+ Literal("-1", datatype=XSD.integer))
rdflib.term.Literal('-1', datatype=rdflib.term.URIRef('http://www.w3.org/2001/XMLSchema#integer'))
>>> (+ Literal("1"))
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
TypeError: Not a number; rdflib.term.Literal('1')
"""
if isinstance(self.value, (int, long_type, float)):
return Literal(self.value.__pos__())
else:
raise TypeError("Not a number; %s" % repr(self))
[docs] def __abs__(self) -> "Literal":
"""
>>> abs(Literal(-1))
rdflib.term.Literal('1', datatype=rdflib.term.URIRef('http://www.w3.org/2001/XMLSchema#integer'))
>>> from rdflib.namespace import XSD
>>> abs( Literal("-1", datatype=XSD.integer))
rdflib.term.Literal('1', datatype=rdflib.term.URIRef('http://www.w3.org/2001/XMLSchema#integer'))
>>> abs(Literal("1"))
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
TypeError: Not a number; rdflib.term.Literal('1')
"""
if isinstance(self.value, (int, long_type, float)):
return Literal(self.value.__abs__())
else:
raise TypeError("Not a number; %s" % repr(self))
[docs] def __invert__(self) -> "Literal":
"""
>>> ~(Literal(-1))
rdflib.term.Literal('0', datatype=rdflib.term.URIRef('http://www.w3.org/2001/XMLSchema#integer'))
>>> from rdflib.namespace import XSD
>>> ~( Literal("-1", datatype=XSD.integer))
rdflib.term.Literal('0', datatype=rdflib.term.URIRef('http://www.w3.org/2001/XMLSchema#integer'))
Not working:
>>> ~(Literal("1"))
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
TypeError: Not a number; rdflib.term.Literal('1')
"""
if isinstance(self.value, (int, long_type, float)):
# type error: Unsupported operand type for ~ ("float")
return Literal(self.value.__invert__()) # type: ignore[operator] # FIXME
else:
raise TypeError("Not a number; %s" % repr(self))
[docs] def __gt__(self, other: Any) -> bool:
"""
This implements ordering for Literals,
the other comparison methods delegate here
This tries to implement this:
http://www.w3.org/TR/sparql11-query/#modOrderBy
In short, Literals with compatible data-types are ordered in value
space, i.e.
>>> from rdflib import XSD
>>> Literal(1) > Literal(2) # int/int
False
>>> Literal(2.0) > Literal(1) # double/int
True
>>> from decimal import Decimal
>>> Literal(Decimal("3.3")) > Literal(2.0) # decimal/double
True
>>> Literal(Decimal("3.3")) < Literal(4.0) # decimal/double
True
>>> Literal('b') > Literal('a') # plain lit/plain lit
True
>>> Literal('b') > Literal('a', datatype=XSD.string) # plain lit/xsd:str
True
Incompatible datatype mismatches ordered by DT
>>> Literal(1) > Literal("2") # int>string
False
Langtagged literals by lang tag
>>> Literal("a", lang="en") > Literal("a", lang="fr")
False
"""
if other is None:
return True # Everything is greater than None
if isinstance(other, Literal):
if (
self.datatype in _NUMERIC_LITERAL_TYPES
and other.datatype in _NUMERIC_LITERAL_TYPES
):
return self.value > other.value
# plain-literals and xsd:string literals
# are "the same"
dtself = rdflib.util._coalesce(self.datatype, default=_XSD_STRING)
dtother = rdflib.util._coalesce(other.datatype, default=_XSD_STRING)
if dtself != dtother:
if rdflib.DAWG_LITERAL_COLLATION:
return NotImplemented
else:
return dtself > dtother
if self.language != other.language:
if not self.language:
return False
elif not other.language:
return True
else:
return self.language > other.language
if self.value is not None and other.value is not None:
if type(self.value) in _TOTAL_ORDER_CASTERS:
caster = _TOTAL_ORDER_CASTERS[type(self.value)]
return caster(self.value) > caster(other.value)
try:
return self.value > other.value
except TypeError:
pass
if str(self) != str(other):
return str(self) > str(other)
# same language, same lexical form, check real dt
# plain-literals come before xsd:string!
if self.datatype != other.datatype:
if self.datatype is None:
return False
elif other.datatype is None:
return True
else:
return self.datatype > other.datatype
return False # they are the same
elif isinstance(other, Node):
return True # Literal are the greatest!
else:
return NotImplemented # we can only compare to nodes
[docs] def __lt__(self, other: Any) -> bool:
if other is None:
return False # Nothing is less than None
if isinstance(other, Literal):
try:
return not self.__gt__(other) and not self.eq(other)
except TypeError:
return NotImplemented
if isinstance(other, Node):
return False # all nodes are less-than Literals
return NotImplemented
[docs] def __le__(self, other: Any) -> bool:
"""
>>> from rdflib.namespace import XSD
>>> Literal('2007-01-01T10:00:00', datatype=XSD.dateTime
... ) <= Literal('2007-01-01T10:00:00', datatype=XSD.dateTime)
True
"""
r = self.__lt__(other)
if r:
return True
try:
return self.eq(other)
except TypeError:
return NotImplemented
[docs] def __ge__(self, other: Any) -> bool:
r = self.__gt__(other)
if r:
return True
try:
return self.eq(other)
except TypeError:
return NotImplemented
def _comparable_to(self, other: Any) -> bool:
"""
Helper method to decide which things are meaningful to
rich-compare with this literal
"""
if isinstance(other, Literal):
if self.datatype is not None and other.datatype is not None:
# two datatyped literals
if (
self.datatype not in XSDToPython
or other.datatype not in XSDToPython
):
# non XSD DTs must match
if self.datatype != other.datatype:
return False
else:
# xsd:string may be compared with plain literals
if not (self.datatype == _XSD_STRING and not other.datatype) or (
other.datatype == _XSD_STRING and not self.datatype
):
return False
# if given lang-tag has to be case insensitive equal
if (self.language or "").lower() != (other.language or "").lower():
return False
return True
# type error: Signature of "__hash__" incompatible with supertype "Identifier"
# Superclass: def __hash__(self: str) -> int
# Subclass: def __hash__(self) -> int
# NOTE for type ignore: This can possibly be fixed by changing how __hash__ is implemented in Identifier
[docs] def __hash__(self) -> int: # type: ignore[override]
"""
>>> from rdflib.namespace import XSD
>>> a = {Literal('1', datatype=XSD.integer):'one'}
>>> Literal('1', datatype=XSD.double) in a
False
"Called for the key object for dictionary operations,
and by the built-in function hash(). Should return
a 32-bit integer usable as a hash value for
dictionary operations. The only required property
is that objects which compare equal have the same
hash value; it is advised to somehow mix together
(e.g., using exclusive or) the hash values for the
components of the object that also play a part in
comparison of objects." -- 3.4.1 Basic customization (Python)
"Two literals are equal if and only if all of the following hold:
* The strings of the two lexical forms compare equal, character by
character.
* Either both or neither have language tags.
* The language tags, if any, compare equal.
* Either both or neither have datatype URIs.
* The two datatype URIs, if any, compare equal, character by
character."
-- 6.5.1 Literal Equality (RDF: Concepts and Abstract Syntax)
"""
# don't use super()... for efficiency reasons, see Identifier.__hash__
res = str.__hash__(self)
# Directly accessing the member is faster than the property.
if self._language:
res ^= hash(self._language.lower())
if self._datatype is not None:
res ^= hash(self._datatype)
return res
[docs] def __eq__(self, other: Any) -> bool:
"""
Literals are only equal to other literals.
"Two literals are equal if and only if all of the following hold:
* The strings of the two lexical forms compare equal, character by character.
* Either both or neither have language tags.
* The language tags, if any, compare equal.
* Either both or neither have datatype URIs.
* The two datatype URIs, if any, compare equal, character by character."
-- 6.5.1 Literal Equality (RDF: Concepts and Abstract Syntax)
>>> Literal("1", datatype=URIRef("foo")) == Literal("1", datatype=URIRef("foo"))
True
>>> Literal("1", datatype=URIRef("foo")) == Literal("1", datatype=URIRef("foo2"))
False
>>> Literal("1", datatype=URIRef("foo")) == Literal("2", datatype=URIRef("foo"))
False
>>> Literal("1", datatype=URIRef("foo")) == "asdf"
False
>>> from rdflib import XSD
>>> Literal('2007-01-01', datatype=XSD.date) == Literal('2007-01-01', datatype=XSD.date)
True
>>> Literal('2007-01-01', datatype=XSD.date) == date(2007, 1, 1)
False
>>> Literal("one", lang="en") == Literal("one", lang="en")
True
>>> Literal("hast", lang='en') == Literal("hast", lang='de')
False
>>> Literal("1", datatype=XSD.integer) == Literal(1)
True
>>> Literal("1", datatype=XSD.integer) == Literal("01", datatype=XSD.integer)
True
"""
if self is other:
return True
if other is None:
return False
# Directly accessing the member is faster than the property.
if isinstance(other, Literal):
return (
self._datatype == other._datatype
and (self._language.lower() if self._language else None)
== (other._language.lower() if other._language else None)
and str.__eq__(self, other)
)
return False
[docs] def eq(self, other: Any) -> bool:
"""
Compare the value of this literal with something else
Either, with the value of another literal
comparisons are then done in literal "value space",
and according to the rules of XSD subtype-substitution/type-promotion
OR, with a python object:
basestring objects can be compared with plain-literals,
or those with datatype xsd:string
bool objects with xsd:boolean
a int, long or float with numeric xsd types
isodate date,time,datetime objects with xsd:date,xsd:time or xsd:datetime
Any other operations returns NotImplemented
"""
if isinstance(other, Literal):
if (
self.datatype in _NUMERIC_LITERAL_TYPES
and other.datatype in _NUMERIC_LITERAL_TYPES
):
if self.value is not None and other.value is not None:
return self.value == other.value
else:
if str.__eq__(self, other):
return True
raise TypeError(
"I cannot know that these two lexical forms do not map to the same value: %s and %s"
% (self, other)
)
if (self.language or "").lower() != (other.language or "").lower():
return False
dtself = rdflib.util._coalesce(self.datatype, default=_XSD_STRING)
dtother = rdflib.util._coalesce(other.datatype, default=_XSD_STRING)
if dtself == _XSD_STRING and dtother == _XSD_STRING:
# string/plain literals, compare on lexical form
return str.__eq__(self, other)
if dtself != dtother:
if rdflib.DAWG_LITERAL_COLLATION:
raise TypeError(
"I don't know how to compare literals with datatypes %s and %s"
% (self.datatype, other.datatype)
)
else:
return False
# matching non-string DTs now - do we compare values or
# lexical form first? comparing two ints is far quicker -
# maybe there are counter examples
if self.value is not None and other.value is not None:
if self.datatype in (_RDF_XMLLITERAL, _RDF_HTMLLITERAL):
return _isEqualXMLNode(self.value, other.value)
return self.value == other.value
else:
if str.__eq__(self, other):
return True
if self.datatype == _XSD_STRING:
return False # string value space=lexical space
# matching DTs, but not matching, we cannot compare!
raise TypeError(
"I cannot know that these two lexical forms do not map to the same value: %s and %s"
% (self, other)
)
elif isinstance(other, Node):
return False # no non-Literal nodes are equal to a literal
elif isinstance(other, str):
# only plain-literals can be directly compared to strings
# TODO: Is "blah"@en eq "blah" ?
if self.language is not None:
return False
if self.datatype == _XSD_STRING or self.datatype is None:
return str(self) == other
elif isinstance(other, (int, long_type, float)):
if self.datatype in _NUMERIC_LITERAL_TYPES:
return self.value == other
elif isinstance(other, (date, datetime, time)):
if self.datatype in (_XSD_DATETIME, _XSD_DATE, _XSD_TIME):
return self.value == other
elif isinstance(other, (timedelta, Duration)):
if self.datatype in (
_XSD_DURATION,
_XSD_DAYTIMEDURATION,
_XSD_YEARMONTHDURATION,
):
return self.value == other
# NOTE for type ignore: bool is a subclass of int so this won't ever run.
elif isinstance(other, bool): # type: ignore[unreachable]
if self.datatype == _XSD_BOOLEAN:
return self.value == other
return NotImplemented
[docs] def neq(self, other: Any) -> bool:
return not self.eq(other)
[docs] def n3(self, namespace_manager: Optional["NamespaceManager"] = None) -> str:
r'''
Returns a representation in the N3 format.
Examples::
>>> Literal("foo").n3()
'"foo"'
Strings with newlines or triple-quotes::
>>> Literal("foo\nbar").n3()
'"""foo\nbar"""'
>>> Literal("''\'").n3()
'"\'\'\'"'
>>> Literal('"""').n3()
'"\\"\\"\\""'
Language::
>>> Literal("hello", lang="en").n3()
'"hello"@en'
Datatypes::
>>> Literal(1).n3()
'"1"^^<http://www.w3.org/2001/XMLSchema#integer>'
>>> Literal(1.0).n3()
'"1.0"^^<http://www.w3.org/2001/XMLSchema#double>'
>>> Literal(True).n3()
'"true"^^<http://www.w3.org/2001/XMLSchema#boolean>'
Datatype and language isn't allowed (datatype takes precedence)::
>>> Literal(1, lang="en").n3()
'"1"^^<http://www.w3.org/2001/XMLSchema#integer>'
Custom datatype::
>>> footype = URIRef("http://example.org/ns#foo")
>>> Literal("1", datatype=footype).n3()
'"1"^^<http://example.org/ns#foo>'
Passing a namespace-manager will use it to abbreviate datatype URIs:
>>> from rdflib import Graph
>>> Literal(1).n3(Graph().namespace_manager)
'"1"^^xsd:integer'
'''
if namespace_manager:
return self._literal_n3(qname_callback=namespace_manager.normalizeUri)
else:
return self._literal_n3()
def _literal_n3(
self,
use_plain: bool = False,
qname_callback: Optional[Callable[[str], str]] = None,
) -> str:
"""
Using plain literal (shorthand) output::
>>> from rdflib.namespace import XSD
>>> Literal(1)._literal_n3(use_plain=True)
'1'
>>> Literal(1.0)._literal_n3(use_plain=True)
'1e+00'
>>> Literal(1.0, datatype=XSD.decimal)._literal_n3(use_plain=True)
'1.0'
>>> Literal(1.0, datatype=XSD.float)._literal_n3(use_plain=True)
'"1.0"^^<http://www.w3.org/2001/XMLSchema#float>'
>>> Literal("foo", datatype=XSD.string)._literal_n3(
... use_plain=True)
'"foo"^^<http://www.w3.org/2001/XMLSchema#string>'
>>> Literal(True)._literal_n3(use_plain=True)
'true'
>>> Literal(False)._literal_n3(use_plain=True)
'false'
>>> Literal(1.91)._literal_n3(use_plain=True)
'1.91e+00'
Only limited precision available for floats:
>>> Literal(0.123456789)._literal_n3(use_plain=True)
'1.234568e-01'
>>> Literal('0.123456789',
... datatype=XSD.decimal)._literal_n3(use_plain=True)
'0.123456789'
Using callback for datatype QNames::
>>> Literal(1)._literal_n3(
... qname_callback=lambda uri: "xsd:integer")
'"1"^^xsd:integer'
"""
if use_plain and self.datatype in _PLAIN_LITERAL_TYPES:
if self.value is not None:
# If self is inf or NaN, we need a datatype
# (there is no plain representation)
if self.datatype in _NUMERIC_INF_NAN_LITERAL_TYPES:
try:
v = float(self)
if math.isinf(v) or math.isnan(v):
return self._literal_n3(False, qname_callback)
except ValueError:
return self._literal_n3(False, qname_callback)
# this is a bit of a mess -
# in py >=2.6 the string.format function makes this easier
# we try to produce "pretty" output
if self.datatype == _XSD_DOUBLE:
return sub("\\.?0*e", "e", "%e" % float(self))
elif self.datatype == _XSD_DECIMAL:
s = "%s" % self
if "." not in s and "e" not in s and "E" not in s:
s += ".0"
return s
elif self.datatype == _XSD_BOOLEAN:
return ("%s" % self).lower()
else:
return "%s" % self
encoded = self._quote_encode()
datatype = self.datatype
quoted_dt = None
if datatype is not None:
if qname_callback:
quoted_dt = qname_callback(datatype)
if not quoted_dt:
quoted_dt = "<%s>" % datatype
if datatype in _NUMERIC_INF_NAN_LITERAL_TYPES:
try:
v = float(self)
if math.isinf(v):
# py string reps: float: 'inf', Decimal: 'Infinity"
# both need to become "INF" in xsd datatypes
encoded = encoded.replace("inf", "INF").replace(
"Infinity", "INF"
)
if math.isnan(v):
encoded = encoded.replace("nan", "NaN")
except ValueError:
# if we can't cast to float something is wrong, but we can
# still serialize. Warn user about it
warnings.warn("Serializing weird numerical %r" % self)
language = self.language
if language:
return "%s@%s" % (encoded, language)
elif datatype:
return "%s^^%s" % (encoded, quoted_dt)
else:
return "%s" % encoded
def _quote_encode(self) -> str:
# This simpler encoding doesn't work; a newline gets encoded as "\\n",
# which is ok in sourcecode, but we want "\n".
# encoded = self.encode('unicode-escape').replace(
# '\\', '\\\\').replace('"','\\"')
# encoded = self.replace.replace('\\', '\\\\').replace('"','\\"')
# NOTE: Could in theory chose quotes based on quotes appearing in the
# string, i.e. '"' and "'", but N3/turtle doesn't allow "'"(?).
if "\n" in self:
# Triple quote this string.
encoded = self.replace("\\", "\\\\")
if '"""' in self:
# is this ok?
encoded = encoded.replace('"""', '\\"\\"\\"')
if encoded[-1] == '"' and encoded[-2] != "\\":
encoded = encoded[:-1] + "\\" + '"'
return '"""%s"""' % encoded.replace("\r", "\\r")
else:
return '"%s"' % self.replace("\n", "\\n").replace("\\", "\\\\").replace(
'"', '\\"'
).replace("\r", "\\r")
[docs] def __repr__(self) -> str:
args = [super(Literal, self).__repr__()]
if self.language is not None:
args.append("lang=%s" % repr(self.language))
if self.datatype is not None:
args.append("datatype=%s" % repr(self.datatype))
if self.__class__ == Literal:
clsName = "rdflib.term.Literal" # noqa: N806
else:
clsName = self.__class__.__name__ # noqa: N806
return """%s(%s)""" % (clsName, ", ".join(args))
[docs] def toPython(self) -> Any: # noqa: N802
"""
Returns an appropriate python datatype derived from this RDF Literal
"""
if self.value is not None:
return self.value
return self
def _parseXML(xmlstring: str) -> xml.dom.minidom.Document: # noqa: N802
retval = xml.dom.minidom.parseString(
"<rdflibtoplevelelement>%s</rdflibtoplevelelement>" % xmlstring
)
retval.normalize()
return retval
def _parse_html(lexical_form: str) -> xml.dom.minidom.DocumentFragment:
"""
Parse the lexical form of an HTML literal into a document fragment
using the ``dom`` from html5lib tree builder.
:param lexical_form: The lexical form of the HTML literal.
:return: A document fragment representing the HTML literal.
:raises: `html5lib.html5parser.ParseError` if the lexical form is
not valid HTML.
"""
parser = html5lib.HTMLParser(
tree=html5lib.treebuilders.getTreeBuilder("dom"), strict=True
)
result: xml.dom.minidom.DocumentFragment = parser.parseFragment(lexical_form)
result.normalize()
return result
def _write_html(value: xml.dom.minidom.DocumentFragment) -> bytes:
"""
Serialize a document fragment representing an HTML literal into
its lexical form.
:param value: A document fragment representing an HTML literal.
:return: The lexical form of the HTML literal.
"""
result = html5lib.serialize(value, tree="dom")
return result
def _writeXML( # noqa: N802
xmlnode: Union[xml.dom.minidom.Document, xml.dom.minidom.DocumentFragment]
) -> bytes:
if isinstance(xmlnode, xml.dom.minidom.DocumentFragment):
d = xml.dom.minidom.Document()
d.childNodes += xmlnode.childNodes
xmlnode = d
s = xmlnode.toxml("utf-8")
# for clean round-tripping, remove headers -- I have great and
# specific worries that this will blow up later, but this margin
# is too narrow to contain them
if s.startswith('<?xml version="1.0" encoding="utf-8"?>'.encode("latin-1")):
s = s[38:]
if s.startswith("<rdflibtoplevelelement>".encode("latin-1")):
s = s[23:-24]
if s == "<rdflibtoplevelelement/>".encode("latin-1"):
s = "".encode("latin-1")
return s
def _unhexlify(value: Union[str, bytes, Literal]) -> bytes:
# In Python 3.2, unhexlify does not support str (only bytes)
if isinstance(value, str):
value = value.encode()
return unhexlify(value)
def _parseBoolean(value: Union[str, bytes]) -> bool: # noqa: N802
"""
Boolean is a datatype with value space {true,false},
lexical space {"true", "false","1","0"} and
lexical-to-value mapping {"true"→true, "false"→false, "1"→true, "0"→false}.
"""
true_accepted_values = ["1", "true", b"1", b"true"]
false_accepted_values = ["0", "false", b"0", b"false"]
new_value = value.lower()
if new_value in true_accepted_values:
return True
if new_value not in false_accepted_values:
warnings.warn(
"Parsing weird boolean, % r does not map to True or False" % value,
category=UserWarning,
)
return False
def _well_formed_by_value(lexical: Union[str, bytes], value: Any) -> bool:
"""
This function is used as the fallback for detecting ill-typed/ill-formed
literals and operates on the asumption that if a value (i.e.
`Literal.value`) could be determined for a Literal then it is not
ill-typed/ill-formed.
This function will be called with `Literal.lexical` and `Literal.value` as arguments.
"""
return value is not None
def _well_formed_unsignedlong(lexical: Union[str, bytes], value: Any) -> bool:
"""
xsd:unsignedInteger and xsd:unsignedLong must not be negative
"""
return len(lexical) > 0 and isinstance(value, long_type) and value >= 0
def _well_formed_boolean(lexical: Union[str, bytes], value: Any) -> bool:
"""
Boolean is a datatype with value space {true,false},
lexical space {"true", "false","1","0"} and
lexical-to-value mapping {"true"→true, "false"→false, "1"→true, "0"→false}.
"""
return lexical in ("true", b"true", "false", b"false", "1", b"1", "0", b"0")
def _well_formed_int(lexical: Union[str, bytes], value: Any) -> bool:
"""
The value space of xs:int is the set of common single size integers (32 bits),
i.e., the integers between -2147483648 and 2147483647,
its lexical space allows any number of insignificant leading zeros.
"""
return (
len(lexical) > 0
and isinstance(value, int)
and (-2147483648 <= value <= 2147483647)
)
def _well_formed_unsignedint(lexical: Union[str, bytes], value: Any) -> bool:
"""
xsd:unsignedInt has a 32bit value of between 0 and 4294967295
"""
return len(lexical) > 0 and isinstance(value, int) and (0 <= value <= 4294967295)
def _well_formed_short(lexical: Union[str, bytes], value: Any) -> bool:
"""
The value space of xs:short is the set of common short integers (16 bits),
i.e., the integers between -32768 and 32767,
its lexical space allows any number of insignificant leading zeros.
"""
return len(lexical) > 0 and isinstance(value, int) and (-32768 <= value <= 32767)
def _well_formed_unsignedshort(lexical: Union[str, bytes], value: Any) -> bool:
"""
xsd:unsignedShort has a 16bit value of between 0 and 65535
"""
return len(lexical) > 0 and isinstance(value, int) and (0 <= value <= 65535)
def _well_formed_byte(lexical: Union[str, bytes], value: Any) -> bool:
"""
The value space of xs:byte is the set of common single byte integers (8 bits),
i.e., the integers between -128 and 127,
its lexical space allows any number of insignificant leading zeros.
"""
return len(lexical) > 0 and isinstance(value, int) and (-128 <= value <= 127)
def _well_formed_unsignedbyte(lexical: Union[str, bytes], value: Any) -> bool:
"""
xsd:unsignedByte has a 8bit value of between 0 and 255
"""
return len(lexical) > 0 and isinstance(value, int) and (0 <= value <= 255)
def _well_formed_non_negative_integer(lexical: Union[str, bytes], value: Any) -> bool:
return isinstance(value, int) and value >= 0
def _well_formed_positive_integer(lexical: Union[str, bytes], value: Any) -> bool:
return isinstance(value, int) and value > 0
def _well_formed_non_positive_integer(lexical: Union[str, bytes], value: Any) -> bool:
return isinstance(value, int) and value <= 0
def _well_formed_negative_integer(lexical: Union[str, bytes], value: Any) -> bool:
return isinstance(value, int) and value < 0
# Cannot import Namespace/XSD because of circular dependencies
_XSD_PFX = "http://www.w3.org/2001/XMLSchema#"
_RDF_PFX = "http://www.w3.org/1999/02/22-rdf-syntax-ns#"
_RDF_XMLLITERAL = URIRef(_RDF_PFX + "XMLLiteral")
_RDF_HTMLLITERAL = URIRef(_RDF_PFX + "HTML")
_XSD_STRING = URIRef(_XSD_PFX + "string")
_XSD_NORMALISED_STRING = URIRef(_XSD_PFX + "normalizedString")
_XSD_TOKEN = URIRef(_XSD_PFX + "token")
_XSD_FLOAT = URIRef(_XSD_PFX + "float")
_XSD_DOUBLE = URIRef(_XSD_PFX + "double")
_XSD_DECIMAL = URIRef(_XSD_PFX + "decimal")
_XSD_INTEGER = URIRef(_XSD_PFX + "integer")
_XSD_BOOLEAN = URIRef(_XSD_PFX + "boolean")
_XSD_DATETIME = URIRef(_XSD_PFX + "dateTime")
_XSD_DATE = URIRef(_XSD_PFX + "date")
_XSD_TIME = URIRef(_XSD_PFX + "time")
_XSD_DURATION = URIRef(_XSD_PFX + "duration")
_XSD_DAYTIMEDURATION = URIRef(_XSD_PFX + "dayTimeDuration")
_XSD_YEARMONTHDURATION = URIRef(_XSD_PFX + "yearMonthDuration")
_OWL_RATIONAL = URIRef("http://www.w3.org/2002/07/owl#rational")
_XSD_B64BINARY = URIRef(_XSD_PFX + "base64Binary")
_XSD_HEXBINARY = URIRef(_XSD_PFX + "hexBinary")
_XSD_GYEAR = URIRef(_XSD_PFX + "gYear")
_XSD_GYEARMONTH = URIRef(_XSD_PFX + "gYearMonth")
# TODO: gMonthDay, gDay, gMonth
_NUMERIC_LITERAL_TYPES: Tuple[URIRef, ...] = (
_XSD_INTEGER,
_XSD_DECIMAL,
_XSD_DOUBLE,
URIRef(_XSD_PFX + "float"),
URIRef(_XSD_PFX + "byte"),
URIRef(_XSD_PFX + "int"),
URIRef(_XSD_PFX + "long"),
URIRef(_XSD_PFX + "negativeInteger"),
URIRef(_XSD_PFX + "nonNegativeInteger"),
URIRef(_XSD_PFX + "nonPositiveInteger"),
URIRef(_XSD_PFX + "positiveInteger"),
URIRef(_XSD_PFX + "short"),
URIRef(_XSD_PFX + "unsignedByte"),
URIRef(_XSD_PFX + "unsignedInt"),
URIRef(_XSD_PFX + "unsignedLong"),
URIRef(_XSD_PFX + "unsignedShort"),
)
# these have "native" syntax in N3/SPARQL
_PLAIN_LITERAL_TYPES: Tuple[URIRef, ...] = (
_XSD_INTEGER,
_XSD_BOOLEAN,
_XSD_DOUBLE,
_XSD_DECIMAL,
_OWL_RATIONAL,
)
# these have special INF and NaN XSD representations
_NUMERIC_INF_NAN_LITERAL_TYPES: Tuple[URIRef, ...] = (
URIRef(_XSD_PFX + "float"),
_XSD_DOUBLE,
_XSD_DECIMAL,
)
# these need dedicated operators
_DATE_AND_TIME_TYPES: Tuple[URIRef, ...] = (
_XSD_DATETIME,
_XSD_DATE,
_XSD_TIME,
)
# These are recognized datatype IRIs
# (https://www.w3.org/TR/rdf11-concepts/#dfn-recognized-datatype-iris) that
# represents durations.
_TIME_DELTA_TYPES: Tuple[URIRef, ...] = (
_XSD_DURATION,
_XSD_DAYTIMEDURATION,
)
_ALL_DATE_AND_TIME_TYPES: Tuple[URIRef, ...] = _DATE_AND_TIME_TYPES + _TIME_DELTA_TYPES
# the following types need special treatment for reasonable sorting because
# certain instances can't be compared to each other. We treat this by
# partitioning and then sorting within those partitions.
_TOTAL_ORDER_CASTERS: Dict[Type[Any], Callable[[Any], Any]] = {
datetime: lambda value: (
# naive vs. aware
value.tzinfo is not None and value.tzinfo.utcoffset(value) is not None,
value,
),
time: lambda value: (
# naive vs. aware
value.tzinfo is not None and value.tzinfo.utcoffset(None) is not None,
value,
),
xml.dom.minidom.Document: lambda value: value.toxml(),
}
_STRING_LITERAL_TYPES: Tuple[URIRef, ...] = (
_XSD_STRING,
_RDF_XMLLITERAL,
_RDF_HTMLLITERAL,
URIRef(_XSD_PFX + "normalizedString"),
URIRef(_XSD_PFX + "token"),
)
_StrT = TypeVar("_StrT", bound=str)
def _py2literal(
obj: Any,
pType: Any, # noqa: N803
castFunc: Optional[Callable[[Any], Any]],
dType: Optional[_StrT],
) -> Tuple[Any, Optional[_StrT]]:
if castFunc is not None:
return castFunc(obj), dType
elif dType is not None:
return obj, dType
else:
return obj, None
[docs]def _castPythonToLiteral( # noqa: N802
obj: Any, datatype: Optional[str]
) -> Tuple[Any, Optional[str]]:
"""
Casts a tuple of a python type and a special datatype URI to a tuple of the lexical value and a
datatype URI (or None)
"""
castFunc: Optional[Callable[[Any], Union[str, bytes]]] # noqa: N806
dType: Optional[str] # noqa: N806
for (pType, dType), castFunc in _SpecificPythonToXSDRules: # noqa: N806
if isinstance(obj, pType) and dType == datatype:
return _py2literal(obj, pType, castFunc, dType)
for pType, (castFunc, dType) in _GenericPythonToXSDRules: # noqa: N806
if isinstance(obj, pType):
return _py2literal(obj, pType, castFunc, dType)
return obj, None # TODO: is this right for the fall through case?
# Mappings from Python types to XSD datatypes and back (borrowed from sparta)
# datetime instances are also instances of date... so we need to order these.
# SPARQL/Turtle/N3 has shortcuts for integer, double, decimal
# python has only float - to be in tune with sparql/n3/turtle
# we default to XSD.double for float literals
# python ints are promoted to longs when overflowing
# python longs have no limit
# both map to the abstract integer type,
# rather than some concrete bit-limited datatype
_GenericPythonToXSDRules: List[
Tuple[Type[Any], Tuple[Optional[Callable[[Any], Union[str, bytes]]], Optional[str]]]
] = [
(str, (None, None)),
(float, (None, _XSD_DOUBLE)),
(bool, (lambda i: str(i).lower(), _XSD_BOOLEAN)),
(int, (None, _XSD_INTEGER)),
(long_type, (None, _XSD_INTEGER)),
(Decimal, (lambda i: f"{i:f}", _XSD_DECIMAL)),
(datetime, (lambda i: i.isoformat(), _XSD_DATETIME)),
(date, (lambda i: i.isoformat(), _XSD_DATE)),
(time, (lambda i: i.isoformat(), _XSD_TIME)),
(Duration, (lambda i: duration_isoformat(i), _XSD_DURATION)),
(timedelta, (lambda i: duration_isoformat(i), _XSD_DAYTIMEDURATION)),
(xml.dom.minidom.Document, (_writeXML, _RDF_XMLLITERAL)),
(Fraction, (None, _OWL_RATIONAL)),
]
if html5lib is not None:
# This is a bit dirty, by accident the html5lib parser produces
# DocumentFragments, and the xml parser Documents, letting this
# decide what datatype to use makes roundtripping easier, but it a
# bit random.
#
# This must happen before _GenericPythonToXSDRules is assigned to
# _OriginalGenericPythonToXSDRules.
_GenericPythonToXSDRules.append(
(xml.dom.minidom.DocumentFragment, (_write_html, _RDF_HTMLLITERAL))
)
_OriginalGenericPythonToXSDRules = list(_GenericPythonToXSDRules)
_SpecificPythonToXSDRules: List[
Tuple[Tuple[Type[Any], str], Optional[Callable[[Any], Union[str, bytes]]]]
] = [
((date, _XSD_GYEAR), lambda val: val.strftime("%Y").zfill(4)),
((date, _XSD_GYEARMONTH), lambda val: val.strftime("%Y-%m").zfill(7)),
((str, _XSD_HEXBINARY), hexlify),
((bytes, _XSD_HEXBINARY), hexlify),
((str, _XSD_B64BINARY), b64encode),
((bytes, _XSD_B64BINARY), b64encode),
]
_OriginalSpecificPythonToXSDRules = list(_SpecificPythonToXSDRules)
XSDToPython: Dict[Optional[str], Optional[Callable[[str], Any]]] = {
None: None, # plain literals map directly to value space
URIRef(_XSD_PFX + "time"): parse_time,
URIRef(_XSD_PFX + "date"): parse_date,
URIRef(_XSD_PFX + "gYear"): parse_date,
URIRef(_XSD_PFX + "gYearMonth"): parse_date,
URIRef(_XSD_PFX + "dateTime"): parse_datetime,
URIRef(_XSD_PFX + "duration"): parse_duration,
URIRef(_XSD_PFX + "dayTimeDuration"): parse_duration,
URIRef(_XSD_PFX + "yearMonthDuration"): parse_duration,
URIRef(_XSD_PFX + "hexBinary"): _unhexlify,
URIRef(_XSD_PFX + "string"): None,
URIRef(_XSD_PFX + "normalizedString"): None,
URIRef(_XSD_PFX + "token"): None,
URIRef(_XSD_PFX + "language"): None,
URIRef(_XSD_PFX + "boolean"): _parseBoolean,
URIRef(_XSD_PFX + "decimal"): Decimal,
URIRef(_XSD_PFX + "integer"): long_type,
URIRef(_XSD_PFX + "nonPositiveInteger"): long_type,
URIRef(_XSD_PFX + "long"): long_type,
URIRef(_XSD_PFX + "nonNegativeInteger"): long_type,
URIRef(_XSD_PFX + "negativeInteger"): long_type,
URIRef(_XSD_PFX + "int"): int,
URIRef(_XSD_PFX + "unsignedLong"): long_type,
URIRef(_XSD_PFX + "positiveInteger"): long_type,
URIRef(_XSD_PFX + "short"): int,
URIRef(_XSD_PFX + "unsignedInt"): int,
URIRef(_XSD_PFX + "byte"): int,
URIRef(_XSD_PFX + "unsignedShort"): int,
URIRef(_XSD_PFX + "unsignedByte"): int,
URIRef(_XSD_PFX + "float"): float,
URIRef(_XSD_PFX + "double"): float,
URIRef(_XSD_PFX + "base64Binary"): b64decode,
URIRef(_XSD_PFX + "anyURI"): None,
_RDF_XMLLITERAL: _parseXML,
}
if html5lib is not None:
# It is probably best to keep this close to the definition of
# _GenericPythonToXSDRules so nobody misses it.
XSDToPython[_RDF_HTMLLITERAL] = _parse_html
_check_well_formed_types: Dict[URIRef, Callable[[Union[str, bytes], Any], bool]] = {
URIRef(_XSD_PFX + "boolean"): _well_formed_boolean,
URIRef(_XSD_PFX + "nonPositiveInteger"): _well_formed_non_positive_integer,
URIRef(_XSD_PFX + "nonNegativeInteger"): _well_formed_non_negative_integer,
URIRef(_XSD_PFX + "negativeInteger"): _well_formed_negative_integer,
URIRef(_XSD_PFX + "positiveInteger"): _well_formed_positive_integer,
URIRef(_XSD_PFX + "int"): _well_formed_int,
URIRef(_XSD_PFX + "short"): _well_formed_short,
URIRef(_XSD_PFX + "byte"): _well_formed_byte,
URIRef(_XSD_PFX + "unsignedInt"): _well_formed_unsignedint,
URIRef(_XSD_PFX + "unsignedLong"): _well_formed_unsignedlong,
URIRef(_XSD_PFX + "unsignedShort"): _well_formed_unsignedshort,
URIRef(_XSD_PFX + "unsignedByte"): _well_formed_unsignedbyte,
}
_toPythonMapping: Dict[Optional[str], Optional[Callable[[str], Any]]] = {} # noqa: N816
_toPythonMapping.update(XSDToPython)
def _reset_bindings() -> None:
"""
Reset lexical<->value space binding for `Literal`
"""
_toPythonMapping.clear()
_toPythonMapping.update(XSDToPython)
_GenericPythonToXSDRules.clear()
_GenericPythonToXSDRules.extend(_OriginalGenericPythonToXSDRules)
_SpecificPythonToXSDRules.clear()
_SpecificPythonToXSDRules.extend(_OriginalSpecificPythonToXSDRules)
[docs]def _castLexicalToPython( # noqa: N802
lexical: Union[str, bytes], datatype: Optional[URIRef]
) -> Any:
"""
Map a lexical form to the value-space for the given datatype
:returns: a python object for the value or ``None``
"""
try:
conv_func = _toPythonMapping[datatype]
except KeyError:
# no conv_func -> unknown data-type
return None
if conv_func is not None:
try:
# type error: Argument 1 has incompatible type "Union[str, bytes]"; expected "str"
# NOTE for type ignore: various functions in _toPythonMapping will
# only work for str, so there is some inconsistency here, the right
# approach may be to change lexical to be of str type but this will
# require runtime changes.
return conv_func(lexical) # type: ignore[arg-type]
except Exception:
logger.warning(
"Failed to convert Literal lexical form to value. Datatype=%s, "
"Converter=%s",
datatype,
conv_func,
exc_info=True,
)
# not a valid lexical representation for this dt
return None
else:
# no conv func means 1-1 lexical<->value-space mapping
try:
return str(lexical)
except UnicodeDecodeError:
# type error: Argument 1 to "str" has incompatible type "Union[str, bytes]"; expected "bytes"
# NOTE for type ignore: code assumes that lexical is of type bytes
# at this point.
return str(lexical, "utf-8") # type: ignore[arg-type]
_AnyT = TypeVar("_AnyT", bound=Any)
def _normalise_XSD_STRING(lexical_or_value: _AnyT) -> _AnyT: # noqa: N802
"""
Replaces \t, \n, \r (#x9 (tab), #xA (linefeed), and #xD (carriage return)) with space without any whitespace collapsing
"""
if isinstance(lexical_or_value, str):
# type error: Incompatible return value type (got "str", expected "_AnyT") [return-value]
# NOTE for type ignore: this is an issue with mypy: https://github.com/python/mypy/issues/10003
return lexical_or_value.replace("\t", " ").replace("\n", " ").replace("\r", " ") # type: ignore[return-value]
return lexical_or_value
def _strip_and_collapse_whitespace(lexical_or_value: _AnyT) -> _AnyT:
if isinstance(lexical_or_value, str):
# Use regex to substitute contiguous whitespace into a single whitespace. Strip trailing whitespace.
# type error: Incompatible return value type (got "str", expected "_AnyT") [return-value]
# NOTE for type ignore: this is an issue with mypy: https://github.com/python/mypy/issues/10003
return re.sub(" +", " ", lexical_or_value.strip()) # type: ignore[return-value]
return lexical_or_value
[docs]def bind(
datatype: str,
pythontype: Type[Any],
constructor: Optional[Callable[[str], Any]] = None,
lexicalizer: Optional[Callable[[Any], Union[str, bytes]]] = None,
datatype_specific: bool = False,
) -> None:
"""
register a new datatype<->pythontype binding
:param constructor: an optional function for converting lexical forms
into a Python instances, if not given the pythontype
is used directly
:param lexicalizer: an optional function for converting python objects to
lexical form, if not given object.__str__ is used
:param datatype_specific: makes the lexicalizer function be accessible
from the pair (pythontype, datatype) if set to True
or from the pythontype otherwise. False by default
"""
if datatype_specific and datatype is None:
raise Exception("No datatype given for a datatype-specific binding")
if datatype in _toPythonMapping:
logger.warning("datatype '%s' was already bound. Rebinding." % datatype)
if constructor is None:
constructor = pythontype
_toPythonMapping[datatype] = constructor
if datatype_specific:
_SpecificPythonToXSDRules.append(((pythontype, datatype), lexicalizer))
else:
_GenericPythonToXSDRules.append((pythontype, (lexicalizer, datatype)))
[docs]class Variable(Identifier):
"""
A Variable - this is used for querying, or in Formula aware
graphs, where Variables can be stored
"""
__slots__ = ()
[docs] def __new__(cls, value: str) -> "Variable":
if len(value) == 0:
raise Exception("Attempted to create variable with empty string as name!")
if value[0] == "?":
value = value[1:]
return str.__new__(cls, value)
[docs] def __repr__(self) -> str:
if self.__class__ is Variable:
clsName = "rdflib.term.Variable" # noqa: N806
else:
clsName = self.__class__.__name__ # noqa: N806
return """%s(%s)""" % (clsName, super(Variable, self).__repr__())
[docs] def toPython(self) -> str: # noqa: N802
return "?%s" % self
[docs] def n3(self, namespace_manager: Optional["NamespaceManager"] = None) -> str:
return "?%s" % self
[docs] def __reduce__(self) -> Tuple[Type["Variable"], Tuple[str]]:
return (Variable, (str(self),))
# Nodes are ordered like this
# See http://www.w3.org/TR/sparql11-query/#modOrderBy
# we leave "space" for more subclasses of Node elsewhere
# default-dict to grazefully fail for new subclasses
_ORDERING: Dict[Type[Node], int] = defaultdict(int)
_ORDERING.update({BNode: 10, Variable: 20, URIRef: 30, Literal: 40})
def _isEqualXMLNode( # noqa: N802
node: Union[
None,
xml.dom.minidom.Attr,
xml.dom.minidom.Comment,
xml.dom.minidom.Document,
xml.dom.minidom.DocumentFragment,
xml.dom.minidom.DocumentType,
xml.dom.minidom.Element,
xml.dom.minidom.Entity,
xml.dom.minidom.Notation,
xml.dom.minidom.ProcessingInstruction,
xml.dom.minidom.Text,
],
other: Union[
None,
xml.dom.minidom.Attr,
xml.dom.minidom.Comment,
xml.dom.minidom.Document,
xml.dom.minidom.DocumentFragment,
xml.dom.minidom.DocumentType,
xml.dom.minidom.Element,
xml.dom.minidom.Entity,
xml.dom.minidom.Notation,
xml.dom.minidom.ProcessingInstruction,
xml.dom.minidom.Text,
],
) -> bool:
# importing xml.dom.minidom.Node as XMLNode to avoid confusion with
# rdflib.term.Node
from xml.dom.minidom import Node as XMLNode
def recurse():
# Recursion through the children
# In Python2, the semantics of 'map' is such that the check on
# length would be unnecessary. In Python 3,
# the semantics of map has changed (why, oh why???) and the check
# for the length becomes necessary...
if len(node.childNodes) != len(other.childNodes):
return False
for nc, oc in map(lambda x, y: (x, y), node.childNodes, other.childNodes):
if not _isEqualXMLNode(nc, oc):
return False
# if we got here then everything is fine:
return True
if node is None or other is None:
return False
if node.nodeType != other.nodeType:
return False
if node.nodeType in [XMLNode.DOCUMENT_NODE, XMLNode.DOCUMENT_FRAGMENT_NODE]:
return recurse()
elif node.nodeType == XMLNode.ELEMENT_NODE:
if TYPE_CHECKING:
assert isinstance(node, xml.dom.minidom.Element)
assert isinstance(other, xml.dom.minidom.Element)
# Get the basics right
if not (
node.tagName == other.tagName and node.namespaceURI == other.namespaceURI
):
return False
# Handle the (namespaced) attributes; the namespace setting key
# should be ignored, though
# Note that the minidom orders the keys already, so we do not have
# to worry about that, which is a bonus...
n_keys = [
k
for k in node.attributes.keysNS()
if k[0] != "http://www.w3.org/2000/xmlns/"
]
o_keys = [
k
for k in other.attributes.keysNS()
if k[0] != "http://www.w3.org/2000/xmlns/"
]
if len(n_keys) != len(o_keys):
return False
for k in n_keys:
if not (
k in o_keys
and node.getAttributeNS(k[0], k[1]) == other.getAttributeNS(k[0], k[1])
):
return False
# if we got here, the attributes are all right, we can go down
# the tree recursively
return recurse()
elif node.nodeType in [
XMLNode.TEXT_NODE,
XMLNode.COMMENT_NODE,
XMLNode.CDATA_SECTION_NODE,
XMLNode.NOTATION_NODE,
]:
if TYPE_CHECKING:
assert isinstance(
node,
(
xml.dom.minidom.Text,
xml.dom.minidom.Comment,
xml.dom.minidom.CDATASection,
xml.dom.minidom.Notation,
),
)
assert isinstance(
other,
(
xml.dom.minidom.Text,
xml.dom.minidom.Comment,
xml.dom.minidom.CDATASection,
xml.dom.minidom.Notation,
),
)
# type error: Item "Notation" of "Union[Comment, Document, Notation, Text]" has no attribute "data"
return node.data == other.data # type: ignore[union-attr] # FIXME
elif node.nodeType == XMLNode.PROCESSING_INSTRUCTION_NODE:
if TYPE_CHECKING:
assert isinstance(node, xml.dom.minidom.ProcessingInstruction)
assert isinstance(other, xml.dom.minidom.ProcessingInstruction)
return node.data == other.data and node.target == other.target
elif node.nodeType == XMLNode.ENTITY_NODE:
return node.nodeValue == other.nodeValue
elif node.nodeType == XMLNode.DOCUMENT_TYPE_NODE:
if TYPE_CHECKING:
assert isinstance(node, xml.dom.minidom.DocumentType)
assert isinstance(other, xml.dom.minidom.DocumentType)
return node.publicId == other.publicId and node.systemId == other.systemId
else:
# should not happen, in fact
raise Exception("I dont know how to compare XML Node type: %s" % node.nodeType)
