当前位置: 首页>>代码示例>>Python>>正文


Python ConjunctiveGraph.qname方法代码示例

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, 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
开发者ID:SmartDeveloperHub,项目名称:agora-planner,代码行数:104,代码来源:graph.py


注:本文中的rdflib.ConjunctiveGraph.qname方法示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。