def test_nluslot_with_index_over(self):
root = TemplateNode()
self.assertIsNotNone(root)
self.assertIsNotNone(root.children)
self.assertEqual(len(root.children), 0)
node = TemplateNluSlotNode()
node._slotName = TemplateWordNode("*")
node._itemName = TemplateWordNode("entity")
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": [], "slots": [{"slot": "nlu_slot", "entity": "value1"}, {"slot": "nlu_slot", "entity": "value2"}]}'
conversation.current_question().set_property("__SYSTEM_NLUDATA__",
nlu_result)
result = root.resolve(self._client_context)
self.assertIsNotNone(result)
self.assertEqual("unknown", result)
def test_nluslot_no_nlu_result(self):
root = TemplateNode()
node = TemplateNluSlotNode()
node._slotName = TemplateWordNode("nlu_slot")
node._itemName = TemplateWordNode("startOffset")
root.append(node)
result = root.resolve(self._client_context)
self.assertIsNotNone(result)
self.assertEqual("", result)
def test_to_xml_nluslot(self):
root = TemplateNode()
node = TemplateNluSlotNode()
node._slotName = TemplateWordNode("nlu_slot")
node._itemName = TemplateWordNode("entity")
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><nluslot><name>nlu_slot</name><item>entity</item></nluslot></template>',
xml_str)
def test_nluslot_no_item(self):
root = TemplateNode()
node = TemplateNluSlotNode()
node._slotName = TemplateWordNode("nlu_slot")
node._itemName = TemplateWordNode("startOffset")
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": [], "slots": [{"slot": "nlu_slot", "entity": "value"}]}'
conversation.current_question().set_property("__SYSTEM_NLUDATA__",
nlu_result)
result = root.resolve(self._client_context)
self.assertIsNotNone(result)
self.assertEqual("unknown", result)