本文整理汇总了Python中rdflib.ConjunctiveGraph.qname方法的典型用法代码示例。如果您正苦于以下问题：Python ConjunctiveGraph.qname方法的具体用法？Python ConjunctiveGraph.qname怎么用？Python ConjunctiveGraph.qname使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类rdflib.ConjunctiveGraph的用法示例。
在下文中一共展示了ConjunctiveGraph.qname方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: graph_plan
# 需要导入模块: from rdflib import ConjunctiveGraph [as 别名]
# 或者: from rdflib.ConjunctiveGraph import qname [as 别名]
#.........这里部分代码省略.........
def __get_pattern_node(p):
if p not in patterns:
patterns[p] = BNode('tp_{}'.format(len(patterns)))
return patterns[p]
def __inc_tree_length(tree, l):
if tree not in tree_lengths:
tree_lengths[tree] = 0
tree_lengths[tree] += l
def __add_variable(p_node, vid, subject=True):
sub_node = BNode(str(vid).replace('?', 'var_'))
if subject:
plan_graph.add((p_node, AGORA.subject, sub_node))
else:
plan_graph.add((p_node, AGORA.object, sub_node))
plan_graph.set((sub_node, RDF.type, AGORA.Variable))
plan_graph.set((sub_node, RDFS.label, Literal(str(vid), datatype=XSD.string)))
def include_path(elm, p_seeds, p_steps):
elm_uri = __extend_uri(prefixes, elm)
path_g = plan_graph.get_context(elm_uri)
b_tree = BNode(elm_uri)
s_trees.add(b_tree)
path_g.set((b_tree, RDF.type, AGORA.SearchTree))
path_g.set((b_tree, AGORA.fromType, elm_uri))
for seed in p_seeds:
path_g.add((b_tree, AGORA.hasSeed, URIRef(seed)))
previous_node = b_tree
__inc_tree_length(b_tree, len(p_steps))
for j, step in enumerate(p_steps):
prop = step.get('property')
b_node = BNode(previous_node.n3() + prop)
if j < len(p_steps) - 1 or pattern[1] == RDF.type:
path_g.add((b_node, AGORA.onProperty, __extend_uri(prefixes, prop)))
path_g.add((b_node, AGORA.expectedType, __extend_uri(prefixes, step.get('type'))))
path_g.add((previous_node, AGORA.next, b_node))
previous_node = b_node
p_node = __get_pattern_node(pattern)
path_g.add((previous_node, AGORA.byPattern, p_node))
for i, tp_plan in enumerate(ef_plan):
paths = tp_plan.get('paths')
pattern = tp_plan.get('pattern')
hints = tp_plan.get('hints')
context = BNode('space_{}'.format(tp_plan.get('context')))
for path in paths:
steps = path.get('steps')
seeds = path.get('seeds')
if not len(steps) and len(seeds):
include_path(pattern[2], seeds, steps)
elif len(steps):
ty = steps[0].get('type')
include_path(ty, seeds, steps)
for t in s_trees:
plan_graph.set((t, AGORA.length, Literal(tree_lengths.get(t, 0), datatype=XSD.integer)))
pattern_node = __get_pattern_node(pattern)
plan_graph.add((context, AGORA.definedBy, pattern_node))
plan_graph.set((context, RDF.type, AGORA.SearchSpace))
plan_graph.add((pattern_node, RDF.type, AGORA.TriplePattern))
(sub, pred, obj) = pattern
if isinstance(sub, BNode):
__add_variable(pattern_node, str(sub))
elif isinstance(sub, URIRef):
plan_graph.add((pattern_node, AGORA.subject, sub))
if isinstance(obj, BNode):
__add_variable(pattern_node, str(obj), subject=False)
elif isinstance(obj, Literal):
node = BNode(str(obj).replace(' ', ''))
plan_graph.add((pattern_node, AGORA.object, node))
plan_graph.set((node, RDF.type, AGORA.Literal))
plan_graph.set((node, AGORA.value, Literal(str(obj), datatype=XSD.string)))
else:
plan_graph.add((pattern_node, AGORA.object, obj))
plan_graph.add((pattern_node, AGORA.predicate, pred))
if pred == RDF.type:
if 'check' in hints:
plan_graph.add((pattern_node, AGORA.checkType, Literal(hints['check'], datatype=XSD.boolean)))
sub_expected = plan_graph.subjects(predicate=AGORA.expectedType)
for s in sub_expected:
expected_types = list(plan_graph.objects(s, AGORA.expectedType))
for et in expected_types:
plan_graph.remove((s, AGORA.expectedType, et))
q_expected_types = [plan_graph.qname(t) for t in expected_types]
expected_types = [d for d in expected_types if
not set.intersection(set(fountain.get_type(plan_graph.qname(d)).get('super')),
set(q_expected_types))]
for et in expected_types:
plan_graph.add((s, AGORA.expectedType, et))
return plan_graph