def test_equivalent_intent(self):
nlu1 = PatternNluNode({"intent": "test"}, None)
nlu2 = PatternNluNode({"intent": "test"}, None, userid="testid")
nlu3 = PatternNluNode({"intent": "test"}, None, userid="testid2")
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)
sentence = Sentence(self._client_context.brain.tokenizer, "YEMPTY")
nlu_result = '{"intents": [{"intent": "test", "score": 0.9}], "slots": []}'
conversation.current_question().set_property("__SYSTEM_NLUDATA__",
nlu_result)
self._client_context.match_nlu = True
match1 = nlu1.equals(self._client_context, sentence, 0)
self.assertIsNotNone(match1)
self.assertTrue(match1.matched)
match2 = nlu2.equals(self._client_context, sentence, 0)
self.assertIsNotNone(match2)
self.assertTrue(match2.matched)
match3 = nlu3.equals(self._client_context, sentence, 0)
self.assertIsNotNone(match3)
self.assertFalse(match3.matched)
def test_equals_intent(self):
nlu1 = PatternNluNode({"intent": "test"}, None)
nlu2 = PatternNluNode({"intent": "test"}, None)
nlu3 = PatternNluNode({"intent": "test"}, None, userid="testid")
nlu4 = PatternNluNode({"intent": "test", "maxLikelihood": "false"}, "")
nlu5 = PatternNluNode({"intent": "test", "score": "0.7"}, "")
self.assertTrue(nlu1.equivalent(nlu2))
self.assertFalse(nlu1.equivalent(nlu3))
self.assertFalse(nlu1.equivalent(nlu4))
self.assertFalse(nlu1.equivalent(nlu5))
def test_init_with_attribs_scoreLt(self):
node = PatternNluNode({"intent": "test1", "scoreLt": 0.5}, None)
self.assertIsNotNone(node)
self.assertEqual("test1", node.intent)
self.assertFalse(node.maxLikelihood)
self.assertEqual(node.score, 0.5)
self.assertEqual(node.scoreOperator, lt)
def test_init_with_attribs_intent(self):
node = PatternNluNode({"intent": "test1"}, None)
self.assertIsNotNone(node)
self.assertEqual("test1", node.intent)
self.assertTrue(node.maxLikelihood)
self.assertIsNone(node.score)
self.assertIsNone(node.scoreOperator)
def test_equals_text(self):
nlu1 = PatternNluNode({"intent": "test"}, "nlu1")
nlu2 = PatternNluNode({"intent": "test"}, "nlu2")
nlu3 = PatternNluNode({"intent": "test"}, "nlu1", userid="testid")
self.assertTrue(nlu1.equivalent(nlu2))
self.assertFalse(nlu1.equivalent(nlu3))
def test_init(self):
node = PatternNluNode({"intent": "test1"}, None)
self.assertIsNotNone(node)
self.assertFalse(node.is_root())
self.assertFalse(node.is_priority())
self.assertFalse(node.is_wildcard())
self.assertFalse(node.is_zero_or_more())
self.assertFalse(node.is_one_or_more())
self.assertFalse(node.is_bot())
self.assertFalse(node.is_set())
self.assertFalse(node.is_template())
self.assertFalse(node.is_that())
self.assertFalse(node.is_topic())
self.assertFalse(node.is_wildcard())
self.assertFalse(node.is_iset())
self.assertTrue(node.is_nlu())
self.assertTrue(
node.equivalent(PatternNluNode({"intent": "test1"}, None)))
self.assertFalse(
node.equivalent(PatternNluNode({"intent": "test2"}, None)))
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)
sentence = Sentence(self._client_context.brain.tokenizer, "YEMPTY")
self._client_context.match_nlu = True
nlu_result = '{"intents": [{"intent": "test1", "score": 0.9}], "slots": []}'
conversation.current_question().set_property("__SYSTEM_NLUDATA__",
nlu_result)
result = node.equals(self._client_context, sentence, 0)
self.assertTrue(result.matched)
self.assertEqual(0, result.word_no)
nlu_result = '{"intents": [{"intent": "test2", "score": 0.9}], "slots": []}'
conversation.current_question().set_property("__SYSTEM_NLUDATA__",
nlu_result)
result = node.equals(self._client_context, sentence, 0)
self.assertFalse(result.matched)
self.assertEqual(0, result.word_no)
self.assertEqual(
node.to_string(),
"NLU [*] [P(0)^(0)#(0)C(0)_(0)*(0)To(0)Th(0)Te(0)] intent=[test1] score=[None]"
)
self.assertEqual('<nlu intent="test1">\n</nlu>',
node.to_xml(self._client_context))
def test_init_with_nothing(self):
with self.assertRaises(ParserException) as raised:
PatternNluNode({}, None)
self.assertEqual(str(raised.exception), "Missing intent attribute")
def test_init_with_invalid_attribs(self):
with self.assertRaises(ParserException) as raised:
PatternNluNode({"unknwon": "test1"}, None)
self.assertEqual(str(raised.exception), "Missing intent attribute")
def test_to_string(self):
nlu1 = PatternNluNode({"intent": "intent1"}, None)
self.assertEqual('NLU intent=[intent1] score=[None]',
nlu1.to_string(verbose=False))
self.assertEqual(
'NLU [*] [P(0)^(0)#(0)C(0)_(0)*(0)To(0)Th(0)Te(0)] intent=[intent1] score=[None]',
nlu1.to_string(verbose=True))
nlu2 = PatternNluNode({
"intent": "intent2",
"maxLikelihood": "false"
}, None)
self.assertEqual(
'NLU intent=[intent2] score=[None] maxLikelihood=[False]',
nlu2.to_string(verbose=False))
self.assertEqual(
'NLU [*] [P(0)^(0)#(0)C(0)_(0)*(0)To(0)Th(0)Te(0)] intent=[intent2] score=[None] maxLikelihood=[False]',
nlu2.to_string(verbose=True))
nlu3 = PatternNluNode({"intent": "intent3", "scoreGt": "0.9"}, None)
self.assertEqual('NLU intent=[intent3] score=[0.90 scoreGt]',
nlu3.to_string(verbose=False))
self.assertEqual(
'NLU [*] [P(0)^(0)#(0)C(0)_(0)*(0)To(0)Th(0)Te(0)] intent=[intent3] score=[0.90 scoreGt]',
nlu3.to_string(verbose=True))
nlu4 = PatternNluNode({
"intent": "intent4",
"scoreGe": "0.8"
},
None,
userid="testid")
self.assertEqual('NLU intent=[intent4] score=[0.80 scoreGe]',
nlu4.to_string(verbose=False))
self.assertEqual(
'NLU [testid] [P(0)^(0)#(0)C(0)_(0)*(0)To(0)Th(0)Te(0)] intent=[intent4] score=[0.80 scoreGe]',
nlu4.to_string(verbose=True))
nlu5 = PatternNluNode({
"intent": "intent5",
"score": "0.7"
},
None,
userid="testid")
self.assertEqual('NLU intent=[intent5] score=[0.70 score]',
nlu5.to_string(verbose=False))
self.assertEqual(
'NLU [testid] [P(0)^(0)#(0)C(0)_(0)*(0)To(0)Th(0)Te(0)] intent=[intent5] score=[0.70 score]',
nlu5.to_string(verbose=True))
nlu6 = PatternNluNode({
"intent": "intent6",
"scoreLe": "0.6"
},
None,
userid="testid")
self.assertEqual('NLU intent=[intent6] score=[0.60 scoreLe]',
nlu6.to_string(verbose=False))
self.assertEqual(
'NLU [testid] [P(0)^(0)#(0)C(0)_(0)*(0)To(0)Th(0)Te(0)] intent=[intent6] score=[0.60 scoreLe]',
nlu6.to_string(verbose=True))
nlu7 = PatternNluNode({
"intent": "intent7",
"scoreLt": "0.5"
},
None,
userid="testid")
self.assertEqual('NLU intent=[intent7] score=[0.50 scoreLt]',
nlu7.to_string(verbose=False))
self.assertEqual(
'NLU [testid] [P(0)^(0)#(0)C(0)_(0)*(0)To(0)Th(0)Te(0)] intent=[intent7] score=[0.50 scoreLt]',
nlu7.to_string(verbose=True))
def test_to_xml(self):
nlu1 = PatternNluNode({"intent": "intent1"}, None)
self.assertEqual('<nlu intent="intent1">\n</nlu>',
nlu1.to_xml(self._client_context, include_user=False))
self.assertEqual('<nlu userid="*" intent="intent1">\n</nlu>',
nlu1.to_xml(self._client_context, include_user=True))
nlu2 = PatternNluNode({
"intent": "intent2",
"maxLikelihood": "false"
}, None)
self.assertEqual(
'<nlu intent="intent2" maxLikelihood="false">\n</nlu>',
nlu2.to_xml(self._client_context, include_user=False))
self.assertEqual(
'<nlu userid="*" intent="intent2" maxLikelihood="false">\n</nlu>',
nlu2.to_xml(self._client_context, include_user=True))
nlu3 = PatternNluNode({"intent": "intent3", "scoreGt": "0.9"}, None)
self.assertEqual('<nlu intent="intent3" scoreGt="0.90">\n</nlu>',
nlu3.to_xml(self._client_context, include_user=False))
self.assertEqual(
'<nlu userid="*" intent="intent3" scoreGt="0.90">\n</nlu>',
nlu3.to_xml(self._client_context, include_user=True))
nlu4 = PatternNluNode({
"intent": "intent4",
"scoreGe": "0.8"
},
None,
userid="testid")
self.assertEqual('<nlu intent="intent4" scoreGe="0.80">\n</nlu>',
nlu4.to_xml(self._client_context, include_user=False))
self.assertEqual(
'<nlu userid="testid" intent="intent4" scoreGe="0.80">\n</nlu>',
nlu4.to_xml(self._client_context, include_user=True))
nlu5 = PatternNluNode({
"intent": "intent5",
"score": "0.7"
},
None,
userid="testid")
self.assertEqual('<nlu intent="intent5" score="0.70">\n</nlu>',
nlu5.to_xml(self._client_context, include_user=False))
self.assertEqual(
'<nlu userid="testid" intent="intent5" score="0.70">\n</nlu>',
nlu5.to_xml(self._client_context, include_user=True))
nlu6 = PatternNluNode({
"intent": "intent6",
"scoreLe": "0.6"
},
None,
userid="testid")
self.assertEqual('<nlu intent="intent6" scoreLe="0.60">\n</nlu>',
nlu6.to_xml(self._client_context, include_user=False))
self.assertEqual(
'<nlu userid="testid" intent="intent6" scoreLe="0.60">\n</nlu>',
nlu6.to_xml(self._client_context, include_user=True))
nlu7 = PatternNluNode({
"intent": "intent7",
"scoreLt": "0.5"
},
None,
userid="testid")
self.assertEqual('<nlu intent="intent7" scoreLt="0.50">\n</nlu>',
nlu7.to_xml(self._client_context, include_user=False))
self.assertEqual(
'<nlu userid="testid" intent="intent7" scoreLt="0.50">\n</nlu>',
nlu7.to_xml(self._client_context, include_user=True))