def test_resolve_with_no_defaults(self):
root = TemplateNode()
self.assertIsNotNone(root)
self.assertIsNotNone(root.children)
self.assertEqual(len(root.children), 0)
node = TemplateThatNode(question=1, sentence=1)
self.assertIsNotNone(node)
root.append(node)
self.assertEqual(len(root.children), 1)
self.assertEqual(1, node.question)
self.assertEqual(1, node.sentence)
conversation = Conversation(self._client_context)
question = Question.create_from_text(
self._client_context.brain.nlp.tokenizer, "Hello world")
question.current_sentence()._response = "Hello matey"
conversation.record_question(question)
question = Question.create_from_text(
self._client_context.brain.nlp.tokenizer, "How are you")
question.current_sentence()._response = "Very well thanks"
conversation.record_question(question)
self._client_context.bot._conversations["testid"] = conversation
self.assertEqual("Hello matey", node.resolve(self._client_context))
def test_resolve_no_defaults(self):
root = TemplateNode()
self.assertIsNotNone(root)
self.assertIsNotNone(root.children)
self.assertEqual(len(root.children), 0)
node = TemplateInputNode(index=1)
self.assertIsNotNone(node)
root.append(node)
self.assertEqual(len(root.children), 1)
self.assertEqual(1, node.index)
conversation = Conversation(self._client_context)
question = Question.create_from_text(
self._client_context.brain.nlp.tokenizer, "Hello world")
question.current_sentence()._response = "Hello matey"
conversation.record_question(question)
question = Question.create_from_text(
self._client_context.brain.nlp.tokenizer,
"How are you. Are you well")
question.current_sentence()._response = "Fine thanks"
conversation.record_question(question)
self._client_context.bot._conversations["testid"] = conversation
response = root.resolve(self._client_context)
self.assertIsNotNone(response)
self.assertEqual(response, "How are you")
def test_node_with_star_with_none(self):
root = TemplateNode()
node = TemplateThatStarNode()
root.append(node)
conversation = Conversation(self._client_context)
question = Question.create_from_text(
self._client_context.brain.nlp.tokenizer, "Hello world")
question.current_sentence()._response = "Hello matey"
conversation.record_question(question)
question = Question.create_from_text(
self._client_context.brain.nlp.tokenizer, "How are you")
question.current_sentence()._response = "Very well thanks"
conversation.record_question(question)
match = PatternOneOrMoreWildCardNode("*")
context = MatchContext(
max_search_depth=100,
max_search_timeout=-1,
tokenizer=self._client_context.brain.nlp.tokenizer)
context.add_match(Match(Match.THAT, match, None))
question.current_sentence()._matched_context = context
conversation.record_question(question)
self._client_context.bot._conversations["testid"] = conversation
self.assertEqual("", root.resolve(self._client_context))
def test_resolve_with_no_defaults(self):
root = TemplateNode()
self.assertIsNotNone(root)
self.assertIsNotNone(root.children)
self.assertEqual(len(root.children), 0)
node = TemplateResponseNode(index=1)
self.assertIsNotNone(node)
self.assertEqual(1, node.index)
root.append(node)
self.assertEqual(len(root.children), 1)
conversation = Conversation(self._client_context)
question = Question.create_from_text(
self._client_context.brain.nlp.tokenizer, "Hello1 question")
question.current_sentence()._response = "Hello1 response"
conversation.record_question(question)
question = Question.create_from_text(
self._client_context.brain.nlp.tokenizer, "Hello quesiton2")
question.current_sentence()._response = "Hello2 response"
conversation.record_question(question)
self._client_context.bot._conversations["testid"] = conversation
response = root.resolve(self._client_context)
self.assertIsNotNone(response)
self.assertEqual(response, "Hello1 response")
def test_resolve_with_no_defaults(self):
root = TemplateNode()
self.assertIsNotNone(root)
self.assertIsNotNone(root.children)
self.assertEqual(len(root.children), 0)
node = TemplateRequestNode(index=1)
self.assertIsNotNone(node)
root.append(node)
self.assertEqual(len(root.children), 1)
self.assertEqual(1, node.index)
conversation = Conversation(self._client_context)
self._client_context.bot._conversations["testid"] = conversation
question = Question.create_from_text(
self._client_context.brain.nlp.tokenizer, "Hello world")
question.current_sentence()._response = "Hello matey"
conversation._questions.append(question)
question = Question.create_from_text(
self._client_context.brain.nlp.tokenizer, "What did you say")
question.current_sentence()._response = "Hello matey"
conversation._questions.append(question)
response = root.resolve(self._client_context)
self.assertIsNotNone(response)
self.assertEqual(response, "Hello world")
def test_question_create_from_question(self):
question = Question.create_from_text(self._bot.brain.nlp.tokenizer,
"Hello There")
new_question = Question.create_from_question(question)
self.assertIsNotNone(new_question)
self.assertEqual(1, len(new_question.sentences))
self.assertEqual("Hello There", question.sentence(0).text())
with self.assertRaises(Exception):
question.sentence(1)
def get_question(self, client_context, pre_processed, srai):
if srai is False:
# return Question.create_from_text(client_context.brain.tokenizer, pre_processed, srai=srai)
# print("client_context.brain.nlp: {}".format(client_context.brain.nlp))
return Question.create_from_text(client_context.brain.nlp,
pre_processed,
srai=srai)
else:
return Question.create_from_text(client_context.brain.nlp,
pre_processed,
srai=srai)
def test_conversation(self):
client_context = ClientContext(TestClient(), "testid")
client_context.bot = Bot(BotConfiguration())
client_context.bot.configuration.conversations._max_histories = 3
client_context.brain = client_context.bot.brain
conversation = Conversation(client_context)
self.assertIsNotNone(conversation)
self.assertEqual(0, len(conversation._questions))
self.assertEqual(3, conversation._max_histories)
self.assertEqual(1, len(conversation._properties))
with self.assertRaises(Exception):
conversation.current_question()
with self.assertRaises(Exception):
conversation.previous_nth_question(0)
question1 = Question.create_from_text(
client_context.brain.nlp.tokenizer, "Hello There")
conversation.record_question(question1)
self.assertEqual(question1, conversation.current_question())
with self.assertRaises(Exception):
conversation.previous_nth_question(1)
question2 = Question.create_from_text(
client_context.brain.nlp.tokenizer, "Hello There Again")
conversation.record_question(question2)
self.assertEqual(question2, conversation.current_question())
self.assertEqual(question1, conversation.previous_nth_question(1))
with self.assertRaises(Exception):
conversation.previous_nth_question(3)
question3 = Question.create_from_text(
client_context.brain.nlp.tokenizer, "Hello There Again Again")
conversation.record_question(question3)
self.assertEqual(question3, conversation.current_question())
self.assertEqual(question2, conversation.previous_nth_question(1))
with self.assertRaises(Exception):
conversation.previous_nth_question(4)
# Max Histories for this test is 3
# Therefore we should see the first question, pop of the stack
question4 = Question.create_from_text(
client_context.brain.nlp.tokenizer,
"Hello There Again Again Again")
conversation.record_question(question4)
self.assertEqual(question4, conversation.current_question())
self.assertEqual(question3, conversation.previous_nth_question(1))
with self.assertRaises(Exception):
conversation.previous_nth_question(5)
def test_local_no_value(self):
root = TemplateNode()
self.assertIsNotNone(root)
self.assertIsNotNone(root.children)
self.assertEqual(len(root.children), 0)
node = TemplateGetNode()
node.name = TemplateWordNode("name")
node.local = True
node.append(TemplateWordNode("Fred"))
self.assertIsNotNone(node)
root.append(node)
self.assertEqual(len(root.children), 1)
self._client_context.brain.properties.add_property(
"default-get", "unknown")
conversation = self._client_context.bot.get_conversation(
self._client_context)
self.assertIsNotNone(conversation)
question = Question.create_from_text(
self._client_context.brain.nlp.tokenizer, "Hello")
conversation.record_question(question)
result = root.resolve(self._client_context)
self.assertIsNotNone(result)
self.assertEqual("unknown", result)
def test_type1_node_local_nomatch(self):
root = TemplateNode()
self.assertIsNotNone(root)
self.assertIsNotNone(root.children)
self.assertEqual(len(root.children), 0)
node = TemplateConditionNode("var1",
TemplateWordNode("value1"),
var_type=TemplateConditionNode.LOCAL)
self.assertIsNotNone(node)
node.append(TemplateWordNode("Hello"))
root.append(node)
self.assertEqual(len(root.children), 1)
question = Question.create_from_text(
self._client_context.brain.nlp.tokenizer, "Hello")
self._client_context.bot.conversation(
self._client_context).record_question(question)
self._client_context.bot.conversation(
self._client_context).current_question().set_property(
"var1", "value2")
result = root.resolve(self._client_context)
self.assertIsNotNone(result)
self.assertEqual(result, "")
def test_type2_node_global(self):
root = TemplateNode()
self.assertIsNotNone(root)
self.assertIsNotNone(root.children)
self.assertEqual(len(root.children), 0)
node = TemplateConditionNode("cond1", condition_type=2)
self.assertIsNotNone(node)
cond1 = TemplateConditionListItemNode(value=TemplateWordNode("value1"))
cond1.append(TemplateWordNode("Word1"))
node.append(cond1)
cond2 = TemplateConditionListItemNode(value=TemplateWordNode("value2"))
cond2.append(TemplateWordNode("Word2"))
node.append(cond2)
cond3 = TemplateConditionListItemNode()
cond3.append(TemplateWordNode("Word3"))
node.append(cond3)
root.append(node)
self.assertEqual(len(root.children), 1)
self._client_context.bot.conversation(
self._client_context).set_property('cond1', "value2")
question = Question.create_from_text(
self._client_context.brain.nlp.tokenizer, "Hello")
self._client_context.bot.conversation(
self._client_context).record_question(question)
self._client_context.bot.conversation(
self._client_context).current_question().set_property(
"cond1", "value2")
result = root.resolve(self._client_context)
self.assertIsNotNone(result)
self.assertEqual("Word2", result)
def test_local_set(self):
root = TemplateNode()
self.assertIsNotNone(root)
self.assertIsNotNone(root.children)
self.assertEqual(len(root.children), 0)
node = TemplateSetNode()
self.assertIsNotNone(node)
node.name = TemplateWordNode("name")
node.local = True
node.append(TemplateWordNode("keith"))
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.brain.nlp.tokenizer, "Hello")
conversation.record_question(question)
self.assertIsNotNone(conversation.current_question())
result = node.resolve(self._client_context)
self.assertIsNotNone(result)
self.assertEqual("keith", result)
self.assertEqual("keith", question.property("name"))
def test_global_set_allow_overrides_with_default(self):
root = TemplateNode()
self.assertIsNotNone(root)
self.assertIsNotNone(root.children)
self.assertEqual(len(root.children), 0)
self._client_context.bot.configuration.override_propertys = True
self._client_context.brain.properties.pairs.append(["name", "fred"])
node = TemplateSetNode()
self.assertIsNotNone(node)
node.name = TemplateWordNode("name")
node.local = False
node.append(TemplateWordNode("keith"))
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.brain.nlp.tokenizer, "Hello")
conversation.record_question(question)
self.assertIsNotNone(conversation.current_question())
result = node.resolve(self._client_context)
self.assertIsNotNone(result)
self.assertEqual("keith", result)
self.assertEqual("keith", conversation.property("name"))
def setUp(self):
self._client_context = ClientContext(TestClient(), "testid")
self._client_context.bot = Bot(BotConfiguration())
self._client_context.brain = self._client_context.bot.brain
self._graph = self._client_context.bot.brain.aiml_parser.template_parser
self.test_sentence = Sentence(self._client_context.brain.nlp.tokenizer,
"test sentence")
test_node = PatternOneOrMoreWildCardNode("*")
self.test_sentence._matched_context = MatchContext(
max_search_depth=100,
max_search_timeout=-1,
tokenizer=self._client_context.brain.nlp.tokenizer)
self.test_sentence._matched_context._matched_nodes = [
Match(Match.WORD, test_node, 'one'),
Match(Match.WORD, test_node, 'two'),
Match(Match.WORD, test_node, 'three'),
Match(Match.WORD, test_node, 'four'),
Match(Match.WORD, test_node, 'five'),
Match(Match.WORD, test_node, 'six'),
Match(Match.TOPIC, test_node, '*'),
Match(Match.THAT, test_node, '*')
]
conversation = self._client_context.bot.get_conversation(
self._client_context)
question = Question.create_from_sentence(self.test_sentence)
conversation._questions.append(question)
def test_question_create_from_sentence(self):
sentence = Sentence(self._bot.brain.nlp.tokenizer, "One Two Three")
question = Question.create_from_sentence(sentence)
self.assertIsNotNone(question)
self.assertEqual(1, len(question.sentences))
self.assertEqual(sentence.text(), question.sentence(0).text())
with self.assertRaises(Exception):
question.sentence(1)
def test_node_no_star(self):
root = TemplateNode()
node = TemplateStarNode()
root.append(node)
conversation = Conversation(self._client_context)
question = Question.create_from_text(
self._client_context.brain.nlp.tokenizer, "Hello world")
question.current_sentence()._response = "Hello matey"
conversation.record_question(question)
question = Question.create_from_text(
self._client_context.brain.nlp.tokenizer, "How are you")
question.current_sentence()._response = "Very well thanks"
conversation.record_question(question)
self._client_context.bot._conversations["testid"] = conversation
self.assertEqual("", root.resolve(self._client_context))
def test_next_previous_nth_sentences(self):
question = Question.create_from_text(self._bot.brain.nlp.tokenizer,
"Hello There. How Are you")
self.assertEqual("How Are you", question.current_sentence().text())
self.assertEqual("How Are you",
question.previous_nth_sentence(0).text())
self.assertEqual("Hello There",
question.previous_nth_sentence(1).text())
def test_question_multi_sentence(self):
question = Question.create_from_text(self._bot.brain.nlp.tokenizer,
"Hello There. How Are you")
self.assertIsNotNone(question)
self.assertEqual(2, len(question.sentences))
self.assertEqual("Hello There", question.sentence(0).text())
self.assertEqual("How Are you", question.sentence(1).text())
with self.assertRaises(Exception):
question.sentence(2)
def test_combine_answers(self):
question = Question()
sentence1 = Sentence(self._bot.brain.nlp.tokenizer, "Hi")
sentence1._response = "Hello"
question._sentences.append(sentence1)
sentence2 = Sentence(self._bot.brain.nlp.tokenizer, "Hi Again")
question._sentences.append(sentence2)
sentence2._response = "World"
self.assertEqual(2, len(question._sentences))
self.assertEqual(question._sentences[0]._response, "Hello")
self.assertEqual(question._sentences[1]._response, "World")
sentences = question.combine_sentences()
self.assertEqual("Hi. Hi Again", sentences)
combined = question.combine_answers()
self.assertIsNotNone(combined)
self.assertEqual(combined, "Hello. World")
def test_node_no_sentences(self):
root = TemplateNode()
node = TemplateStarNode()
root.append(node)
conversation = Conversation(self._client_context)
question = Question()
conversation.record_question(question)
self._client_context.bot._conversations["testid"] = conversation
self.assertEqual("", root.resolve(self._client_context))
def test_resolve_no_defaults_inside_topic(self):
root = TemplateNode()
self.assertIsNotNone(root)
self.assertIsNotNone(root.children)
self.assertEqual(len(root.children), 0)
node = TemplateTopicStarNode(index=1)
self.assertIsNotNone(node)
self.assertEqual(1, node.index)
root.append(node)
self.assertEqual(len(root.children), 1)
conversation = Conversation(self._client_context)
question = Question.create_from_text(
self._client_context.brain.nlp.tokenizer, "Hello world")
question.current_sentence()._response = "Hello matey"
conversation.record_question(question)
question = Question.create_from_text(
self._client_context.brain.nlp.tokenizer, "How are you")
question.current_sentence()._response = "Very well thanks"
conversation.record_question(question)
match = PatternOneOrMoreWildCardNode("*")
context = MatchContext(
max_search_depth=100,
max_search_timeout=-1,
tokenizer=self._client_context.brain.nlp.tokenizer)
context.add_match(Match(Match.TOPIC, match, "Matched"))
question.current_sentence()._matched_context = context
conversation.record_question(question)
self._client_context.bot._conversations["testid"] = conversation
self.assertEqual("Matched", node.resolve(self._client_context))
def test_get_user_local_known(self):
client = PropertiesAdminExtensionClient()
client_context = client.create_client_context("testid")
question = Question()
conversation = client_context.bot.get_conversation(client_context)
conversation.record_question(question)
conversation.set_property("PROP1", "Value1")
extension = PropertiesAdminExtension()
self.assertIsNotNone(extension)
result = extension.execute(client_context, "GET USER LOCAL PROP1")
self.assertIsNotNone(result)
self.assertEquals("Value1", result)
def test_transcripts_questions_without_props(self):
client = TranscriptAdminExtensionClient()
client_context = client.create_client_context("testid")
question = Question.create_from_sentence(
Sentence(client_context.brain.nlp.tokenizer, "Hello World"))
conversation = client_context.bot.get_conversation(client_context)
conversation.record_question(question)
extension = TranscriptAdminExtension()
self.assertIsNotNone(extension)
result = extension.execute(client_context, "")
self.assertIsNotNone(result)
self.assertEquals(
"Questions:<br /><ul><li>Hello World - </li></ul><br />", result)
def test_question_no_sentences_blank(self):
question = Question.create_from_text(self._bot.brain.nlp.tokenizer,
" ")
self.assertIsNotNone(question)
self.assertEqual(0, len(question.sentences))
def test_question_one_sentence(self):
question = Question.create_from_text(self._bot.brain.nlp.tokenizer,
"Hello There")
self.assertIsNotNone(question)
self.assertEqual(1, len(question.sentences))
