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_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_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_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_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_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_persistence(self):
storage_config = BotConversationsRedisStorageConfiguration("redis")
redis = ConversationRedisStorage(storage_config)
self.assertIsNotNone(redis)
client = TestClient()
client_context = client.create_client_context("testid")
conversation1 = Conversation(client_context)
conversation1.set_property("topic", "topic1")
question = client_context.bot.get_question(client_context,
"hello",
srai=False)
conversation1.record_question(question)
redis.save_conversation(conversation1, client_context.userid)
conversation2 = Conversation(client_context)
redis.load_conversation(conversation2, client_context.userid)
self.assertIsNotNone(conversation2)
self.assertIsNotNone(conversation2.properties)
self.assertEquals(conversation1.properties, conversation2.properties)
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))