def test_nluintent_with_index_over(self):
root = TemplateNode()
self.assertIsNotNone(root)
self.assertIsNotNone(root.children)
self.assertEqual(len(root.children), 0)
node = TemplateNluIntentNode()
node._intentName = TemplateWordNode("*")
node._itemName = TemplateWordNode("score")
node._index = TemplateWordNode("2")
self.assertIsNotNone(node)
root.append(node)
self.assertEqual(len(root.children), 1)
conversation = self._client_context.bot.get_conversation(
self._client_context)
self.assertIsNotNone(conversation)
question = Question.create_from_text(
self._client_context, "Hello",
self._client_context.bot.sentence_splitter)
conversation.record_dialog(question)
self.assertIsNotNone(conversation.current_question())
nlu_result = '{"intents": [{"intent": "nlu_intent", "score": 0.9}, {"intent": "nlu_intent", "score": 0.75}], "slots": []}'
conversation.current_question().set_property("__SYSTEM_NLUDATA__",
nlu_result)
result = root.resolve(self._client_context)
self.assertIsNotNone(result)
self.assertEqual("unknown", result)
def test_nluintent_no_nlu_result(self):
root = TemplateNode()
node = TemplateNluIntentNode()
node._intentName = TemplateWordNode("*")
node._itemName = TemplateWordNode("score")
root.append(node)
result = root.resolve(self._client_context)
self.assertIsNotNone(result)
self.assertEqual("", result)
def test_to_xml_nluintent(self):
root = TemplateNode()
node = TemplateNluIntentNode()
node._intentName = TemplateWordNode("nlu_intent")
node._itemName = TemplateWordNode("score")
root.append(node)
xml = root.xml_tree(self._client_context)
self.assertIsNotNone(xml)
xml_str = ET.tostring(xml, "utf-8").decode("utf-8")
self.assertEqual(
'<template><nluintent><name>nlu_intent</name><item>score</item></nluintent></template>',
xml_str)
def test_nluintent_no_item(self):
root = TemplateNode()
node = TemplateNluIntentNode()
node._intentName = TemplateWordNode("nlu_intent")
node._itemName = TemplateWordNode("score")
root.append(node)
conversation = self._client_context.bot.get_conversation(
self._client_context)
question = Question.create_from_text(
self._client_context, "Hello",
self._client_context.bot.sentence_splitter)
conversation.record_dialog(question)
nlu_result = '{"intents": [{"intent": "nlu_intent"}], "slots": []}'
conversation.current_question().set_property("__SYSTEM_NLUDATA__",
nlu_result)
result = root.resolve(self._client_context)
self.assertIsNotNone(result)
self.assertEqual("unknown", result)
def __init__(self):
TemplateNluIntentNode.__init__(self)