Python rdflib.BNode方法代碼示例

# 需要導入模塊: import rdflib [as 別名]
# 或者: from rdflib import BNode [as 別名]
def parse_entity(self, term):
        if isinstance(term, rdf.Literal):
            return Entity(id=str(term), cls="_Literal")
        elif isinstance(term, rdf.BNode):
            return None
        entstr = str(term)
        if entstr.startswith(self.entity_prefix):
            inst = entstr[len(self.entity_prefix):]
            if self.d_entity.match(inst):
                cls = 'd'
            elif self.bond_entity.match(inst):
                cls = 'bond'
            else:
                cls = None
            return Entity(id=inst, cls=cls)
        else:
            return None 

# 需要導入模塊: import rdflib [as 別名]
# 或者: from rdflib import BNode [as 別名]
def stringify_node(graph, node, ns_manager=None, recursion=0):
    if ns_manager is None:
        ns_manager = graph.namespace_manager
    if isinstance(ns_manager, rdflib.Graph):
        #json-ld loader can set namespace_manager to the conjunctive graph itself.
        ns_manager = ns_manager.namespace_manager
    ns_manager.bind("sh", SH, override=False, replace=False)
    if isinstance(node, rdflib.Literal):
        return stringify_literal(graph, node, ns_manager=ns_manager)
    if isinstance(node, rdflib.BNode):
        if isinstance(graph, (rdflib.ConjunctiveGraph, rdflib.Dataset)):
            graph = find_node_named_graph(graph, node)
        return stringify_blank_node(graph, node, ns_manager=ns_manager,
                                    recursion=recursion+1)
    if isinstance(node, rdflib.URIRef):
        return node.n3(namespace_manager=ns_manager)
    else:
        node_string = str(node)
    return node_string 

# 需要導入模塊: import rdflib [as 別名]
# 或者: from rdflib import BNode [as 別名]
def _node_to_sparql_text(cls, node):
        if isinstance(node, rdflib.Literal):
            if isinstance(node.value, str):
                node_text = "\"{}\"".format(node.value)
            else:
                node_text = str(node.value)
            if node.language:
                node_text = "{}@{}".format(
                    node_text, str(node.language))
            elif node.datatype:
                node_text = "{}^^{}".format(
                    node_text, cls._node_to_sparql_text(node.datatype))
            return node_text
        elif isinstance(node, rdflib.URIRef):
            return "<{}>".format(str(node))
        elif isinstance(node, rdflib.BNode):
            # I think this works to convert a BNode to its internal id.
            return str(node)
        elif isinstance(node, str):
            return node
        raise NotImplementedError("Cannot turn that kind of node into text.") 

# 需要導入模塊: import rdflib [as 別名]
# 或者: from rdflib import BNode [as 別名]
def get_nodes_from_node_expression(self, expr, focus_node, data_graph):
        if expr == SH_this:
            return [focus_node]
        elif isinstance(expr, (rdflib.URIRef, rdflib.Literal)):
            return [expr]
        elif isinstance(expr, rdflib.BNode):
            path_nodes = set(self.shape.sg.objects(expr, SH_path))
            if len(path_nodes) > 0:
                path_results = []
                for p in path_nodes:
                    vals = self.shape.value_nodes_from_path(self.shape.sg, focus_node, p, data_graph)
                    path_results.extend(vals)
                return path_results
            else:
                raise NotImplementedError("Unsupported expression s, p, or o, in SHACL TripleRule")
        else:
            raise NotImplementedError("Unsupported expression s, p, or o, in SHACL TripleRule") 

# 需要導入模塊: import rdflib [as 別名]
# 或者: from rdflib import BNode [as 別名]
def _evaluate_string_rule(self, r, target_graph, f_v_dict):
        reports = []
        non_conformant = False
        assert isinstance(r, rdflib.Literal)
        min_len = int(r.value)
        if min_len < 0:
            raise ReportableRuntimeError("Minimum length cannot be less than zero!")
        for f, value_nodes in f_v_dict.items():
            for v in value_nodes:
                flag = False
                if min_len == 0:
                    flag = True  # min len zero always passes
                elif isinstance(v, rdflib.BNode):
                    # blank nodes cannot pass minLen validation
                    pass
                else:
                    v_string = self.value_node_to_string(v)
                    flag = len(v_string) >= min_len
                if not flag:
                    non_conformant = True
                    rept = self.make_v_result(target_graph, f, value_node=v)
                    reports.append(rept)
        return non_conformant, reports 

# 需要導入模塊: import rdflib [as 別名]
# 或者: from rdflib import BNode [as 別名]
def evaluate(self, target_graph, focus_value_nodes, _evaluation_path):
        """

        :type focus_value_nodes: dict
        :type target_graph: rdflib.Graph
        """
        reports = []
        non_conformant = False

        for lt in iter(self.property_compare_set):
            if isinstance(lt, rdflib.Literal) or\
               isinstance(lt, rdflib.BNode):
                raise ReportableRuntimeError(
                    "Value of sh:lessThan MUST be a URI Identifier.")
            _nc, _r = self._evaluate_less_than(lt, target_graph, focus_value_nodes)
            non_conformant = non_conformant or _nc
            reports.extend(_r)
        return (not non_conformant), reports 

# 需要導入模塊: import rdflib [as 別名]
# 或者: from rdflib import BNode [as 別名]
def _ExpandObservationDimensionValue(self, dim, data, row_id, row):
    node_id = rdflib.BNode()
    self.graph.add((row_id, SCHEMA.dimensionValue, node_id))
    self.graph.add((node_id, rdflib.RDF.type, SCHEMA.DimensionValue))
    self.graph.add((node_id, SCHEMA.dimension, data['id']))
    for dim_type in data['type']:
      if dim_type.endswith('CategoricalDimension'):
        for type_id in data['types']:
          self.graph.add((node_id, rdflib.RDF.type, type_id))
        self.graph.add((node_id, SCHEMA.codeValue, rdflib.Literal(row[dim])))
      else:
        if data['types']:
          self.graph.add(
              (node_id, SCHEMA.value,
               rdflib.Literal(row[dim],
                              datatype=rdflib.URIRef(data['types'][0]))))
        else:
          self.graph.add((node_id, SCHEMA.value, rdflib.Literal(row[dim]))) 

# 需要導入模塊: import rdflib [as 別名]
# 或者: from rdflib import BNode [as 別名]
def _object_value_int(self, subject, predicate):
        '''
        Given a subject and a predicate, returns the value of the object as an
        integer

        Both subject and predicate must be rdflib URIRef or BNode objects

        If the value can not be parsed as intger, returns None
        '''
        object_value = self._object_value(subject, predicate)
        if object_value:
            try:
                return int(object_value)
            except ValueError:
                pass
        return None 

# 需要導入模塊: import rdflib [as 別名]
# 或者: from rdflib import BNode [as 別名]
def _contact_details(self, subject, predicate):
        '''
        Returns a dict with details about a vcard expression

        Both subject and predicate must be rdflib URIRef or BNode objects

        Returns keys for uri, name and email with the values set to
        None if they could not be found
        '''

        contact = {}

        for agent in self.g.objects(subject, predicate):

            contact['uri'] = (unicode(agent) if isinstance(agent,
                              rdflib.term.URIRef) else None)

            contact['name'] = self._object_value(agent, VCARD.fn)

            contact['email'] = self._object_value(agent, VCARD.hasEmail)

        return contact 

# 需要導入模塊: import rdflib [as 別名]
# 或者: from rdflib import BNode [as 別名]
def test_dataset_license_from_distribution_by_title(self):
        # license_id retrieved from dct:title of dcat:license object
        g = Graph()

        dataset = URIRef("http://example.org/datasets/1")
        g.add((dataset, RDF.type, DCAT.Dataset))

        distribution = URIRef("http://example.org/datasets/1/ds/1")
        g.add((distribution, RDF.type, DCAT.Distribution))
        g.add((dataset, DCAT.distribution, distribution))
        license = BNode()
        g.add((distribution, DCT.license, license))
        g.add((license, DCT.title, Literal("Creative Commons Attribution")))

        p = RDFParser(profiles=['euro_dcat_ap'])

        p.g = g

        dataset = [d for d in p.datasets()][0]
        eq_(dataset['license_id'], 'cc-by') 

# 需要導入模塊: import rdflib [as 別名]
# 或者: from rdflib import BNode [as 別名]
def test_contact_details_maintainer(self):
        dataset = {
            'id': '4b6fe9ca-dc77-4cec-92a4-55c6624a5bd6',
            'name': 'test-dataset',
            'maintainer': 'Example Maintainer',
            'maintainer_email': 'dep@example.com',
            'author': 'Example Author',
            'author_email': 'ped@example.com',
        }

        s = RDFSerializer()
        g = s.g

        dataset_ref = s.graph_from_dataset(dataset)

        contact_details = self._triple(g, dataset_ref, DCAT.contactPoint, None)[2]
        assert contact_details
        assert_true(isinstance(contact_details, BNode))
        assert self._triple(g, contact_details, VCARD.fn, dataset['maintainer'])
        assert self._triple(g, contact_details, VCARD.hasEmail, dataset['maintainer_email']) 

# 需要導入模塊: import rdflib [as 別名]
# 或者: from rdflib import BNode [as 別名]
def test_contact_details_author(self):
        dataset = {
            'id': '4b6fe9ca-dc77-4cec-92a4-55c6624a5bd6',
            'name': 'test-dataset',
            'author': 'Example Author',
            'author_email': 'ped@example.com',
        }

        s = RDFSerializer()
        g = s.g

        dataset_ref = s.graph_from_dataset(dataset)

        contact_details = self._triple(g, dataset_ref, DCAT.contactPoint, None)[2]
        assert contact_details
        assert_true(isinstance(contact_details, BNode))
        assert self._triple(g, contact_details, VCARD.fn, dataset['author'])
        assert self._triple(g, contact_details, VCARD.hasEmail, dataset['author_email']) 

# 需要導入模塊: import rdflib [as 別名]
# 或者: from rdflib import BNode [as 別名]
def test_publisher_no_uri(self):
        dataset = {
            'id': '4b6fe9ca-dc77-4cec-92a4-55c6624a5bd6',
            'name': 'test-dataset',
            'extras': [
                {'key': 'publisher_name', 'value': 'Example Publisher'},
            ]
        }
        extras = self._extras(dataset)

        s = RDFSerializer()
        g = s.g

        dataset_ref = s.graph_from_dataset(dataset)

        publisher = self._triple(g, dataset_ref, DCT.publisher, None)[2]
        assert publisher
        assert_true(isinstance(publisher, BNode))

        assert self._triple(g, publisher, RDF.type, FOAF.Organization)
        assert self._triple(g, publisher, FOAF.name, extras['publisher_name']) 

# 需要導入模塊: import rdflib [as 別名]
# 或者: from rdflib import BNode [as 別名]
def test_spatial_bad_json_no_wkt(self):
        dataset = {
            'id': '4b6fe9ca-dc77-4cec-92a4-55c6624a5bd6',
            'name': 'test-dataset',
            'extras': [
                {'key': 'spatial', 'value': 'NotJSON'},

            ]
        }
        extras = self._extras(dataset)

        s = RDFSerializer()
        g = s.g

        dataset_ref = s.graph_from_dataset(dataset)

        spatial = self._triple(g, dataset_ref, DCT.spatial, None)[2]
        assert spatial
        assert_true(isinstance(spatial, BNode))
        # Geometry in GeoJSON
        assert self._triple(g, spatial, LOCN.geometry, extras['spatial'], GEOJSON_IMT)

        # Geometry in WKT
        eq_(len([t for t in g.triples((spatial, LOCN.geometry, None))]), 1) 

# 需要導入模塊: import rdflib [as 別名]
# 或者: from rdflib import BNode [as 別名]
def _add_agent(self, _dict, ref, basekey, _type):
        ''' Stores the Agent in this format:
                <dct:publisher rdf:resource="http://dati.gov.it/resource/Amministrazione/r_liguri"/>
                    <dcatapit:Agent rdf:about="http://dati.gov.it/resource/Amministrazione/r_liguri">
                        <rdf:type rdf:resource="&foaf;Agent"/>
                        <dct:identifier>r_liguri</dct:identifier>
                        <foaf:name>Regione Liguria</foaf:name>
                    </dcatapit:Agent>

            Returns the ref to the agent node
        '''

        agent_name = self._get_dict_value(_dict, basekey + '_name', 'N/A')
        agent_id = self._get_dict_value(_dict, basekey + '_identifier','N/A')

        agent = BNode()

        self.g.add((agent, RDF['type'], DCATAPIT.Agent))
        self.g.add((agent, RDF['type'], FOAF.Agent))
        self.g.add((ref, _type, agent))

        self.g.add((agent, FOAF.name, Literal(agent_name)))
        self.g.add((agent, DCT.identifier, Literal(agent_id)))

        return agent