def create_graph():
parser = FileReader.SemEvalParser()
sent_ids = parser.get_sentences_ids_by(doc_id)
root = GraphManager.Node(doc_id)
graph = GraphManager.Graph(root=root)
# sent_ids = sent_ids[:2]
for sent_id in sent_ids:
sent_node = GraphManager.Node(sent_id)
graph.add_node(sent_node, root)
words = parser.get_instances_by(sentence=sent_id)
for node_id, word in words:
word_node = GraphManager.WordNode(identifier=node_id, word=word)
graph.add_word_node(word_node, sent_node)
senses = utils.get_sences(word)
for sense in senses:
extended_def = utils.get_extended_def(sense)
odour = convert_extended_def_to_odour(extended_def)
nest = GraphManager.NestNode(identifier=sense,
lemma=sense.lemmas()[0].key(),
odour=odour)
graph.add_nest(nest, word_node)
global vocabulary
global index
del vocabulary
del index
return graph
print(d[('a', 'b')])
a = GraphManager.Node()
b = GraphManager.Node()
l = [a, b]
for node in l:
if isinstance(node, GraphManager.NestNode):
print(node.lemma)
print(set([a, b]) == set([b, a]))
print(str(None))
parser = FileReader.SemEvalParser()
sent_ids = parser.get_sentences_ids_by('d001')
sent = parser.get_instances_by(sentence=sent_ids[0])
print(sent_ids)
print(sent)
# a, b, c, d, e = Node("a"), WordNode("b", word='mouse'), WordNode("c"), Node("d"), Node("e")
#
# edges = {a: [b, c, d],
# b: [a],
# c: [a],
# d: [a]
# }
#
# graph = Graph(graph_dict=edges)
