kenkeiras/lang-model
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Properly handle solutions not found.

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kenkeiras 2018-04-24 23:12:14 +02:00
parent 1ded981099
commit 712503804d
2 changed files with 6 additions and 4 deletions
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6
naive-nlu/tree_nlu/knowledge_base.py
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@ -70,11 +70,11 @@ class KnowledgeBase(object):
def process(self, row): def process(self, row):
knowledge_before = copy.deepcopy(self.knowledge) knowledge_before = copy.deepcopy(self.knowledge)
with session().log("Process: {}".format(row)): with session().log("Process: {}".format(row)):
fit = self.layers.process(self, row) fit = list(self.layers.process(self, row))
if fit is None: if len(fit) == 0:
return None return None
tokens, inferred_tree = fit tokens, inferred_tree = fit[0]
result = knowledge_evaluation.integrate_information(self.knowledge, result = knowledge_evaluation.integrate_information(self.knowledge,
{ {
"elements": tokens, "elements": tokens,

4
naive-nlu/tree_nlu/layers/parsing_layer.py
View File

@ -11,4 +11,6 @@ class ParsingLayer:
assert False assert False
def process(self, knowledge_base, input): def process(self, knowledge_base, input):
yield from parsing.get_fit(knowledge_base, input) fit = parsing.get_fit(knowledge_base, input)
if fit is not None:
yield fit