Python rdflib.URIRef方法代碼示例

# 需要導入模塊: import rdflib [as 別名]
# 或者: from rdflib import URIRef [as 別名]
def __init__(self, user, repo):
        """Default constructor.

        Keyword arguments:
        user -- Github user.
        repo -- Github repo.
        """
        self.user = user
        self.repo = repo
        self.prov_g = Graph()
        prov_uri = URIRef("http://www.w3.org/ns/prov#")
        self.prov = Namespace(prov_uri)
        self.prov_g.bind('prov', self.prov)

        self.agent = URIRef("http://{}".format(static.SERVER_NAME))
        self.entity_d = URIRef("http://{}/api/{}/{}/spec".format(static.SERVER_NAME, self.user, self.repo))
        self.activity = URIRef(self.entity_d + "-activity")

        self.init_prov_graph() 

# 需要導入模塊: import rdflib [as 別名]
# 或者: from rdflib import URIRef [as 別名]
def to_rdf(self, edge_info, edge):
        g = Graph()

        def _add_resource(d, p, r, r_type):
            if r_type is not None:
                g.add((r, RDF.type, URIRef(r_type)))
            g.add((d, URIRef(p), r))

        if edge_info["range_tile_data"] is not None:
            res_insts = edge_info["range_tile_data"]
            if not isinstance(res_insts, list):
                res_insts = [res_insts]

            for res_inst in res_insts:
                rangenode = self.get_rdf_uri(None, res_inst)
                try:
                    res_inst_obj = models.ResourceInstance.objects.get(pk=res_inst["resourceId"])
                    r_type = res_inst_obj.graph.node_set.get(istopnode=True).ontologyclass
                except models.ResourceInstance.DoesNotExist:
                    # This should never happen excpet if trying to export when the
                    # referenced resource hasn't been saved to the database yet
                    r_type = edge.rangenode.ontologyclass
                _add_resource(edge_info["d_uri"], edge.ontologyproperty, rangenode, r_type)
        return g 

# 需要導入模塊: import rdflib [as 別名]
# 或者: from rdflib import URIRef [as 別名]
def test_rdf_concept_list(self):
        dt = self.DT.get_instance("concept-list")
        concept_list = [
            "d75977c1-635b-41d5-b53d-1c82d2237b67",  # junk sculpture@en, has aat identifier
            "4beb7055-8a6e-45a3-9bfb-32984b6f82e0",  # "example document type"@en-us, no ext id}
        ]

        edge_info = {}
        edge_info["range_tile_data"] = concept_list
        edge_info["r_uri"] = URIRef("http://vocab.getty.edu/aat/300047196")
        edge_info["d_uri"] = URIRef("test")
        edge = Mock()
        edge.ontologyproperty = CIDOC_NS["P2_has_type"]
        edge.rangenode.ontologyclass = CIDOC_NS["E55_Type"]
        graph = dt.to_rdf(edge_info, edge)

        edge_info["r_uri"] = ARCHES_NS["concepts/037daf4d-054a-44d2-9c0a-108b59e39109"]
        graph += dt.to_rdf(edge_info, edge)

        self.assertTrue((edge_info["d_uri"], edge.ontologyproperty, URIRef("http://vocab.getty.edu/aat/300047196")) in graph)
        self.assertTrue((URIRef("http://vocab.getty.edu/aat/300047196"), RDFS.label, Literal("junk sculpture")) in graph)
        self.assertTrue((edge_info["d_uri"], edge.ontologyproperty, ARCHES_NS["concepts/037daf4d-054a-44d2-9c0a-108b59e39109"]) in graph)
        self.assertTrue((ARCHES_NS["concepts/037daf4d-054a-44d2-9c0a-108b59e39109"], RDFS.label, Literal("example document type")) in graph) 

# 需要導入模塊: import rdflib [as 別名]
# 或者: from rdflib import URIRef [as 別名]
def test_version_level_source_version_download_timestamp(self):
        path_to_dl_file = '/'.join(
            (self.source.rawdir, self.source.files.get('test_file').get('file')))
        fstat = os.stat(path_to_dl_file)

        self.downloaded_file_timestamp = \
            datetime.utcfromtimestamp(fstat[ST_CTIME]).strftime("%Y%m%d")

        triples = list(self.source.dataset.graph.triples(
            (URIRef(self.theseFiles.get("test_file").get("url")),
             self.iri_retrieved_on,
             None)))
        self.assertTrue(len(triples) == 1,
                        "missing triple for ingest file retrieved on " +
                        "(download timestamp)")
        self.assertEqual(Literal(triples[0][2], datatype=XSD.date),
                         Literal(self.downloaded_file_timestamp, datatype=XSD.date),
                         "version level source version timestamp isn't " +
                         "the same as the download timestamp of the local file") 

# 需要導入模塊: import rdflib [as 別名]
# 或者: from rdflib import URIRef [as 別名]
def hpo_to_tree(cls, hpo_terms, hpo_graph, tree, path):
    tree_path = copy.copy(path)
    tree_path.append(cls)
    curie_util = CurieUtil(curie_map.get())
    if cls not in hpo_terms:
        hpo_terms[cls] = {
            'label': hpo_graph.label(URIRef(curie_util.get_uri(cls)))
        }
        parents = hpo_graph.objects(URIRef(curie_util.get_uri(cls)), RDFS.subClassOf)
        hpo_terms[cls]['parents'] = len(list(parents))

        lay_person = get_lay_person(cls, hpo_graph)
        hpo_terms[cls]["lay_person"] = lay_person

    # Traverse the tree to get to the input class
    position = tree[tree_path[0]]
    for term in tree_path[1:]:
        position = position[term]

    for sub_class in hpo_graph.subjects(RDFS.subClassOf, URIRef(curie_util.get_uri(tree_path[-1]))):
        curie = curie_util.get_curie(sub_class).replace("OBO:HP_", "HP:")
        position[curie] = {}
        hpo_to_tree(curie, hpo_terms, hpo_graph, tree, tree_path) 

# 需要導入模塊: import rdflib [as 別名]
# 或者: from rdflib import URIRef [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 URIRef [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 URIRef [as 別名]
def html_elem(e, ct, withtype=False):
    """
    Format a result element as an HTML table cell.
      @param e (list): a pair \c (value,type)
      @param ct (str): cell type (th or td)
      @param withtype (bool): add an additional cell with the element type
    """
    # Header cell
    if ct == 'th':
        return '<th>{0}</th><th>{1}</th>'.format(*e) if withtype else '<th>{}</th>'.format(e)
    # Content cell
    if e[1] in ('uri', 'URIRef'):
        html = u'<{0} class=val><a href="{1}" target="_other">{2}</a></{0}>'.format(ct, e[0], escape(e[0]))
    else:
        html = u'<{0} class=val>{1}</{0}>'.format(ct, escape(e[0]))
    # Create the optional cell for the type
    if withtype:
        html += u'<{0} class=typ>{1}</{0}>'.format(ct, e[1])
    return html 

# 需要導入模塊: import rdflib [as 別名]
# 或者: from rdflib import URIRef [as 別名]
def _ExpandFootnotes(self):
    for result in self.graph.query(
        MakeSparqlSelectQuery(
            ('?ds', 'a', 'schema:StatisticalDataset'),
            ('?ds', 'schema:footnote', '?fn'),
            ns_manager=self.graph.namespace_manager)):
      if result['fn'] not in self.subjects:
        self.graph.remove((result['ds'], SCHEMA.footnote, result['fn']))
        id_prefix = urldefrag(str(result['ds'])).url
        with self.getter.Fetch(str(result['fn'])) as f:
          reader = DictReader(f)
          for row in reader:
            row_id = rdflib.URIRef(id_prefix + '#footnote=' + row['codeValue'])
            self.graph.add((result['ds'], SCHEMA.footnote, row_id))
            self.graph.add((row_id, rdflib.RDF.type,
                            SCHEMA.StatisticalAnnotation))
            for key, val in row.items():
              fields = key.split('@')
              if len(fields) > 1:
                # A language code is specified
                self.graph.add((row_id, getattr(SCHEMA, fields[0]),
                                rdflib.Literal(val, language=fields[1])))
              else:
                self.graph.add((row_id, getattr(SCHEMA, key),
                                rdflib.Literal(val))) 

# 需要導入模塊: import rdflib [as 別名]
# 或者: from rdflib import URIRef [as 別名]
def _ExpandSliceData(self, slice_id):
    tableMappings = self._GetTableMappings(slice_id)
    dim_data = self._GetDimensionDataForSlice(slice_id, tableMappings)
    measure_data = self._GetMeasureDataForSlice(slice_id, tableMappings)
    for data_id in self.graph.objects(
        subject=slice_id,
        predicate=SCHEMA.data):
      if data_id not in self.subjects:
        with self.getter.Fetch(data_id) as f:
          reader = DictReader(f)
          try:
            for row in reader:
              row_id = rdflib.URIRef(self._MakeSliceDataRowId(
                  slice_id, dim_data, measure_data, row, tableMappings))
              self.graph.add((slice_id, SCHEMA.data, row_id))
              self.graph.add((row_id, rdflib.RDF.type, SCHEMA.Observation))
              self.graph.add((row_id, SCHEMA.slice, slice_id))
              for dim, data in dim_data.items():
                self._ExpandObservationDimensionValue(dim, data, row_id, row)
              for measure, data in measure_data.items():
                self._ExpandObservationMeasureValue(measure, data, row_id, row)
          except Exception as e:
            raise RuntimeError(f"Error processing {data_id} at line {reader.line_num}") from e 

# 需要導入模塊: import rdflib [as 別名]
# 或者: from rdflib import URIRef [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 URIRef [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 URIRef [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 URIRef [as 別名]
def test_distribution_access_url(self):
        g = Graph()

        dataset1 = URIRef("http://example.org/datasets/1")
        g.add((dataset1, RDF.type, DCAT.Dataset))

        distribution1_1 = URIRef("http://example.org/datasets/1/ds/1")
        g.add((distribution1_1, RDF.type, DCAT.Distribution))
        g.add((distribution1_1, DCAT.accessURL, Literal('http://access.url.org')))
        g.add((dataset1, DCAT.distribution, distribution1_1))

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

        p.g = g

        datasets = [d for d in p.datasets()]

        resource = datasets[0]['resources'][0]

        eq_(resource['url'], u'http://access.url.org')
        assert 'download_url' not in resource 

# 需要導入模塊: import rdflib [as 別名]
# 或者: from rdflib import URIRef [as 別名]
def test_distribution_download_url(self):
        g = Graph()

        dataset1 = URIRef("http://example.org/datasets/1")
        g.add((dataset1, RDF.type, DCAT.Dataset))

        distribution1_1 = URIRef("http://example.org/datasets/1/ds/1")
        g.add((distribution1_1, RDF.type, DCAT.Distribution))
        g.add((distribution1_1, DCAT.downloadURL, Literal('http://download.url.org')))
        g.add((dataset1, DCAT.distribution, distribution1_1))

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

        p.g = g

        datasets = [d for d in p.datasets()]

        resource = datasets[0]['resources'][0]

        eq_(resource['url'], u'http://download.url.org')
        eq_(resource['download_url'], u'http://download.url.org')