def create_intent(project_id, display_name, training_phrases_parts,
message_texts):
"""Create an intent of the given intent type."""
intents_client = dialogflow_v2.IntentsClient()
parent = intents_client.project_agent_path(project_id)
training_phrases = []
for training_phrases_part in training_phrases_parts:
part = dialogflow_v2.types.Intent.TrainingPhrase.Part(
text=training_phrases_part)
# Here we create a new training phrase for each provided part.
training_phrase = dialogflow_v2.types.Intent.TrainingPhrase(
parts=[part])
training_phrases.append(training_phrase)
text = dialogflow_v2.types.Intent.Message.Text(text=message_texts)
message = dialogflow_v2.types.Intent.Message(text=text)
intent = dialogflow_v2.types.Intent(display_name=display_name,
training_phrases=training_phrases,
messages=[message])
try:
response = intents_client.create_intent(parent, intent)
print('Intent created: {}'.format(response))
except Exception as e:
print "google.api_core.exceptions.FailedPrecondition: " + str(e)
async def construct( # type: ignore
self,
_global_config: GlobalConfig,
time_zone: str,
project: str = "nlutestframework",
agent: str = "NLUTestFramework"
) -> None:
"""
Args:
_global_config: Global configuration for the whole test framework.
time_zone: The time zone, e.g. Europe/Berlin. See https://www.iana.org/time-zones for
the list of possible values.
project: The name of the Dialogflow project. Defaults to "nlutestframework".
agent: The name of the Dialogflow agent. Defaults to "NLUTestFramework".
"""
self.__time_zone = time_zone
self.__project = project
self.__agent = agent
# Create the various clients to interact with the Dialogflow API
clients_config: Dict[str, Any] = {}
self.__agents_client = dialogflow_v2.AgentsClient(**clients_config)
self.__intents_client = dialogflow_v2.IntentsClient(**clients_config)
self.__sessions_client = dialogflow_v2.SessionsClient(**clients_config)
await self.__removeIntents()
def test_batch_delete_intents(self):
# Setup Expected Response
expected_response = {}
expected_response = empty_pb2.Empty(**expected_response)
operation = operations_pb2.Operation(
name='operations/test_batch_delete_intents', done=True)
operation.response.Pack(expected_response)
# Mock the API response
channel = ChannelStub(responses=[operation])
patch = mock.patch('google.api_core.grpc_helpers.create_channel')
with patch as create_channel:
create_channel.return_value = channel
client = dialogflow_v2.IntentsClient()
# Setup Request
parent = client.project_agent_path('[PROJECT]')
intents = []
response = client.batch_delete_intents(parent, intents)
result = response.result()
assert expected_response == result
assert len(channel.requests) == 1
expected_request = intent_pb2.BatchDeleteIntentsRequest(
parent=parent, intents=intents)
actual_request = channel.requests[0][1]
assert expected_request == actual_request
def test_list_intents(self):
# Setup Expected Response
next_page_token = ''
intents_element = {}
intents = [intents_element]
expected_response = {
'next_page_token': next_page_token,
'intents': intents
}
expected_response = intent_pb2.ListIntentsResponse(**expected_response)
# Mock the API response
channel = ChannelStub(responses=[expected_response])
patch = mock.patch('google.api_core.grpc_helpers.create_channel')
with patch as create_channel:
create_channel.return_value = channel
client = dialogflow_v2.IntentsClient()
# Setup Request
parent = client.project_agent_path('[PROJECT]')
paged_list_response = client.list_intents(parent)
resources = list(paged_list_response)
assert len(resources) == 1
assert expected_response.intents[0] == resources[0]
assert len(channel.requests) == 1
expected_request = intent_pb2.ListIntentsRequest(parent=parent)
actual_request = channel.requests[0][1]
assert expected_request == actual_request
def __init__(self, namespace, project):
self.namespace = namespace
self.project = project
self.agents_client = dialogflow.AgentsClient()
self.intents_client = dialogflow.IntentsClient()
self.agent = self.load_agent()
def create_intent(project_id, display_name, language_code,
training_phrases_parts, messages_texts):
credentials = load_credentials_from_config()
intents_client = dialogflow.IntentsClient(credentials=credentials)
parent = intents_client.project_agent_path(project_id)
training_phrases = []
for training_phrases_part in training_phrases_parts:
part = dialogflow.types.Intent.TrainingPhrase.Part(
text=training_phrases_part)
training_phrase = dialogflow.types.Intent.TrainingPhrase(parts=[part])
training_phrases.append(training_phrase)
if isinstance(messages_texts, (str, bytes, bytearray)):
messages_texts = [messages_texts]
text = dialogflow.types.Intent.Message.Text(text=messages_texts)
message = dialogflow.types.Intent.Message(text=text)
intent = dialogflow.types.Intent(display_name=display_name,
training_phrases=training_phrases,
messages=[message])
response = intents_client.create_intent(parent,
intent,
language_code=language_code)
return response
def list_intents(project_id):
import dialogflow_v2 as dialogflow
intents_client = dialogflow.IntentsClient()
parent = intents_client.project_agent_path(project_id)
intents = intents_client.list_intents(parent)
for intent in intents:
print('=' * 20)
print('Intent name: {}'.format(intent.name))
print('Intent display_name: {}'.format(intent.display_name))
print('Action: {}\n'.format(intent.action))
print('Root followup intent: {}'.format(
intent.root_followup_intent_name))
print('Parent followup intent: {}\n'.format(
intent.parent_followup_intent_name))
print('Input contexts:')
for input_context_name in intent.input_context_names:
print('\tName: {}'.format(input_context_name))
print('Output contexts:')
for output_context in intent.output_contexts:
print('\tName: {}'.format(output_context.name))
def update_intent(self, intent_id, training_phrases_parts, keep_phrases=True):
print 'Updating intents...'
client = dialogflow.IntentsClient()
intent_name = client.intent_path(self.project_id, intent_id)
intent_view = None
if keep_phrases:
intent = client.get_intent(intent_name, intent_view=dialogflow.enums.IntentView.INTENT_VIEW_FULL)
else:
intent = client.get_intent(intent_name)
training_phrases = []
for phrases in training_phrases_parts:
parts = []
for training_phrases_part in phrases:
part = None
if 'entity_type' in training_phrases_part:
part = dialogflow.types.Intent.TrainingPhrase.Part(
text=training_phrases_part['text'], entity_type=training_phrases_part['entity_type'], alias=training_phrases_part['alias'])
else:
part = dialogflow.types.Intent.TrainingPhrase.Part(
text=training_phrases_part['text'])
parts.append(part)
training_phrase = dialogflow.types.Intent.TrainingPhrase(parts=parts)
training_phrases.append(training_phrase)
intent.training_phrases.extend(training_phrases)
response = client.update_intent(intent, language_code='en', update_mask=dialogflow.types.FieldMask(paths=['training_phrases']))
print 'Intent {} updated'.format(intent_name)
def test_batch_delete_intents(self):
# Setup Expected Response
expected_response = {}
expected_response = empty_pb2.Empty(**expected_response)
operation = operations_pb2.Operation(
name='operations/test_batch_delete_intents', done=True)
operation.response.Pack(expected_response)
# Mock the API response
channel = ChannelStub(responses=[operation])
client = dialogflow_v2.IntentsClient(channel=channel)
# Setup Request
parent = client.agent_path('[PROJECT]', '[AGENT]')
intents = []
response = client.batch_delete_intents(parent, intents)
result = response.result()
assert expected_response == result
assert len(channel.requests) == 1
expected_request = intent_pb2.BatchDeleteIntentsRequest(
parent=parent, intents=intents)
actual_request = channel.requests[0][1]
assert expected_request == actual_request
def create_intent(project_id, display_name, training_phrases_parts,
message_texts):
intents_client = dialogflow.IntentsClient()
parent = intents_client.project_agent_path(project_id)
training_phrases = []
for training_phrases_part in training_phrases_parts:
part = dialogflow.types.Intent.TrainingPhrase.Part(
text=training_phrases_part)
training_phrase = dialogflow.types.Intent.TrainingPhrase(parts=[part])
training_phrases.append(training_phrase)
text = dialogflow.types.Intent.Message.Text(text=message_texts)
message = dialogflow.types.Intent.Message(text=text)
intent = dialogflow.types.Intent(display_name=display_name,
training_phrases=training_phrases,
messages=[message])
response = intents_client.create_intent(parent,
intent,
language_code=LANGUAGE_CODE)
print('Intent created: {}'.format(response))
client = dialogflow.AgentsClient()
parent = client.project_path(project_id)
response = client.train_agent(parent)
def create_intents():
"""Создаем интенты с вопросами и ответами из файла questions.json"""
with open('questions.json', 'r') as qf:
questions = json.load(qf)
client = dialogflow_v2.IntentsClient()
parent = client.project_agent_path(dialog_project_id)
for title, question in questions.items():
intent = {
"display_name":
title,
"messages": [{
"text": {
"text": [question['answer']]
}
}],
"training_phrases": [{
"parts": [{
"text": q_text
}]
} for q_text in question.get('questions')]
}
try:
client.create_intent(parent, intent)
except Exception as e:
if 'already exists' in str(e):
print('Интент уже существует')
else:
raise e
def create_intent(project_id):
intent_client = dialogflow.IntentsClient()
parent = intent_client.project_agent_path(project_id)
display_name = "create_intent_test"
#intent = {} #json format
training_phrases_parts = ['example', 'test']
training_phrases = []
for training_phrases_part in training_phrases_parts:
part = dialogflow.types.Intent.TrainingPhrase.Part(
text=training_phrases_part)
# Here we create a new training phrase for each provided part.
training_phrase = dialogflow.types.Intent.TrainingPhrase(parts=[part])
training_phrases.append(training_phrase)
# text response
message_texts = ['ok', 'thanks']
text = dialogflow.types.Intent.Message.Text(text=message_texts)
message = dialogflow.types.Intent.Message(text=text)
intent = dialogflow.types.Intent(display_name=display_name,
training_phrases=training_phrases,
messages=[message])
response = intent_client.create_intent(parent, intent)
def create_intent(project_id, display_name, training_phrases_parts,
message_texts):
"""
Creates an intent with provided name and training phrases (and response messages)
"""
intents_client = dialogflow.IntentsClient()
parent = intents_client.project_agent_path(project_id)
training_phrases = []
for training_phrases_part in training_phrases_parts:
part = dialogflow.types.Intent.TrainingPhrase.Part(
text=training_phrases_part)
# Here we create a new training phrase for each provided part.
training_phrase = dialogflow.types.Intent.TrainingPhrase(parts=[part])
training_phrases.append(training_phrase)
text = dialogflow.types.Intent.Message.Text(text=message_texts)
message = dialogflow.types.Intent.Message(text=text)
intent = dialogflow.types.Intent(
display_name=display_name,
training_phrases=training_phrases,
messages=[message])
# for p in training_phrases:
# print( )
response = intents_client.create_intent(parent, intent)
print('Intent created: {}'.format(response))
def delete_intent(project_id, intent_id):
"""Delete intent with the given intent type and intent value."""
intents_client = dialogflow.IntentsClient()
intent_path = intents_client.intent_path(project_id, intent_id)
intents_client.delete_intent(intent_path)
def list_intents(self):
""" List all intents from chatbot """
client = dialogflow.IntentsClient(credentials=self.credentials)
parent = client.project_agent_path(self.project_id)
return list(client.list_intents(parent))
def make_intent(project_id):
#send formating intent to dialogflow
client = dialogflow.IntentsClient()
parent = client.project_agent_path(project_id)
intents = creating_intent(url)
for intent in intents:
response = client.create_intent(parent, intent)
def create_intent(PROJECT_ID, display_name, training_phrases_parts,
message_texts):
"""Create an intent of the given intent type."""
intents_client = dialogflow.IntentsClient()
parent = intents_client.project_agent_path(PROJECT_ID)
training_phrases = []
for training_phrases_part in training_phrases_parts:
part = dialogflow.types.Intent.TrainingPhrase.Part(
text=training_phrases_part)
# Here we create a new training phrase for each provided part.
training_phrase = dialogflow.types.Intent.TrainingPhrase(parts=[part])
training_phrases.append(training_phrase)
text = dialogflow.types.Intent.Message.Text(text=message_texts)
message = dialogflow.types.Intent.Message(text=text)
intent = dialogflow.types.Intent(
display_name=display_name,
training_phrases=training_phrases,
messages=[message])
response = intents_client.create_intent(parent, intent)
print('Intent created: {}'.format(response))
def list_intents(project_id):
intents_client = dialogflow.IntentsClient()
parent = intents_client.project_agent_path(project_id)
# print (parent)
intents = intents_client.list_intents(parent)
intentIds = []
for intent in intents:
intentIds.append(format(intent.name))
# for intent in intents:
# print('=' * 20)
# print('Intent name: {}'.format(intent.name))
# print('Intent display_name: {}'.format(intent.display_name))
# print('Action: {}\n'.format(intent.action))
# print('Root followup intent: {}'.format(
# intent.root_followup_intent_name))
# print('Parent followup intent: {}\n'.format(
# intent.parent_followup_intent_name))
#
# print('Input contexts:')
# for input_context_name in intent.input_context_names:
# print('\tName: {}'.format(input_context_name))
#
# print('Output contexts:')
# for output_context in intent.output_contexts:
# print('\tName: {}'.format(output_context.name))
return intentIds
def deleteQA(update, context):
text = update.message.text
if text.lower() == 'yes':
badAnswerSelected = context.user_data['answerSelected']
intentName = badAnswerSelected['intentName']
client = dialogflow.IntentsClient()
parent = client.project_agent_path(PROJECT_ID)
for element in client.list_intents(parent):
if element.display_name == intentName:
client.delete_intent(element.name)
update.message.reply_text('Question Answer Pair deleted')
break
with open(ratingLog, "r") as ratingFile:
ratingData = json.load(ratingFile)
ratingFile.close()
if intentName in ratingData:
ratingData.pop(intentName, None)
with open(ratingLog, "w") as ratingFile:
json.dump(ratingData, ratingFile)
ratingFile.close()
update.message.reply_text('Question Answer Pair deleted')
else:
update.message.reply_text('Question Answer Pair not deleted')
return ConversationHandler.END
def test_batch_update_intents(self):
# Setup Expected Response
expected_response = {}
expected_response = intent_pb2.BatchUpdateIntentsResponse(
**expected_response)
operation = operations_pb2.Operation(
name='operations/test_batch_update_intents', done=True)
operation.response.Pack(expected_response)
# Mock the API response
channel = ChannelStub(responses=[operation])
client = dialogflow_v2.IntentsClient(channel=channel)
# Setup Request
parent = client.agent_path('[PROJECT]', '[AGENT]')
language_code = 'languageCode-412800396'
response = client.batch_update_intents(parent, language_code)
result = response.result()
assert expected_response == result
assert len(channel.requests) == 1
expected_request = intent_pb2.BatchUpdateIntentsRequest(
parent=parent, language_code=language_code)
actual_request = channel.requests[0][1]
assert expected_request == actual_request
def create_intent(project_id, display_name, training_phrases_parts,
message_texts):
intents_client = dialogflow.IntentsClient()
parent = intents_client.project_agent_path(project_id)
training_phrases = []
for training_phrases_part in training_phrases_parts:
part = dialogflow.types.Intent.TrainingPhrase.Part(
text=training_phrases_part)
training_phrase = dialogflow.types.Intent.TrainingPhrase(parts=[part])
training_phrases.append(training_phrase)
text = dialogflow.types.Intent.Message.Text(text=message_texts)
message = dialogflow.types.Intent.Message(text=text)
intent = dialogflow.types.Intent(display_name=display_name,
training_phrases=training_phrases,
messages=[message])
response = intents_client.create_intent(parent, intent)
logging.debug(f'Intent "{response.display_name}" created.')
def main():
load_dotenv()
with open("questions.json", "r", encoding="UTF-8") as file:
questions = json.load(file)
for topic, questions in questions.items():
training_phrases = [{"text": question} for question in questions['questions']]
project_id = os.getenv('PROJECT_ID')
client = dialogflow_v2.IntentsClient()
parent = client.project_agent_path(project_id)
intent = {
"display_name": topic,
"messages": [{
"text":
{"text": [questions['answer']]}
}],
"training_phrases": [
{
"parts": training_phrases
},
]
}
response = client.create_intent(parent, intent)
return response
def test_list_intents(self):
# Setup Expected Response
next_page_token = ''
intents_element = {}
intents = [intents_element]
expected_response = {
'next_page_token': next_page_token,
'intents': intents
}
expected_response = intent_pb2.ListIntentsResponse(**expected_response)
# Mock the API response
channel = ChannelStub(responses=[expected_response])
client = dialogflow_v2.IntentsClient(channel=channel)
# Setup Request
parent = client.project_agent_path('[PROJECT]')
paged_list_response = client.list_intents(parent)
resources = list(paged_list_response)
assert len(resources) == 1
assert expected_response.intents[0] == resources[0]
assert len(channel.requests) == 1
expected_request = intent_pb2.ListIntentsRequest(parent=parent)
actual_request = channel.requests[0][1]
assert expected_request == actual_request
def test_batch_update_intents(self):
# Setup Expected Response
expected_response = {}
expected_response = intent_pb2.BatchUpdateIntentsResponse(
**expected_response)
operation = operations_pb2.Operation(
name="operations/test_batch_update_intents", done=True)
operation.response.Pack(expected_response)
# Mock the API response
channel = ChannelStub(responses=[operation])
patch = mock.patch("google.api_core.grpc_helpers.create_channel")
with patch as create_channel:
create_channel.return_value = channel
client = dialogflow_v2.IntentsClient()
# Setup Request
parent = client.project_agent_path("[PROJECT]")
language_code = "languageCode-412800396"
response = client.batch_update_intents(parent, language_code)
result = response.result()
assert expected_response == result
assert len(channel.requests) == 1
expected_request = intent_pb2.BatchUpdateIntentsRequest(
parent=parent, language_code=language_code)
actual_request = channel.requests[0][1]
assert expected_request == actual_request
def create_intent(self, display_name, training_phrases_parts,
message_texts):
"""Create an intent of the given intent type."""
intents_client = dialogflow.IntentsClient(credentials=self.credentials)
parent = intents_client.project_agent_path(self.project_id)
training_phrases = []
parts = []
training_phrases = []
for phrases in training_phrases_parts:
parts = []
for training_phrases_part in phrases:
part = None
if 'entity_type' in training_phrases_part:
part = dialogflow.types.Intent.TrainingPhrase.Part(
text=training_phrases_part['text'],
entity_type=training_phrases_part['entity_type'],
alias=training_phrases_part['alias'])
else:
part = dialogflow.types.Intent.TrainingPhrase.Part(
text=training_phrases_part['text'])
parts.append(part)
training_phrase = dialogflow.types.Intent.TrainingPhrase(
parts=parts)
training_phrases.append(training_phrase)
text = dialogflow.types.Intent.Message.Text(text=message_texts)
message = dialogflow.types.Intent.Message(text=text)
intent = dialogflow.types.Intent(display_name=display_name,
training_phrases=training_phrases,
messages=[message])
response = intents_client.create_intent(parent, intent)
def get_intent(self, intent_id):
""" Get intent by id """
client = dialogflow.IntentsClient(credentials=self.credentials)
intent_path = client.intent_path(self.project_id, intent_id)
return client.get_intent(
intent_path,
intent_view=dialogflow.enums.IntentView.INTENT_VIEW_FULL)
def __init__(self, project_id, session_id):
self.project_id = project_id
self.session_id = session_id
self.intents_client = dialogflow.IntentsClient()
self.contexts_client = dialogflow.ContextsClient()
self.parent = self.intents_client.project_agent_path(project_id)
self.session_path = self.contexts_client.session_path(
project_id, session_id)
def get_intent_info(project_id, session_id):
intent_client = dialogflow.IntentsClient()
intent_id = str("7fb45f6d-da59-423a-b179-b020490574a7")
name = intent_client.intent_path(project_id, intent_id)
#print(name)
response = intent_client.get_intent(name, intent_view="INTENT_VIEW_FULL")
#print(response)
update_intent(project_id, response)
def delete_intent(intent_id):
"""Delete intent with the given intent type and intent value."""
try:
intents_client = dialogflow.IntentsClient()
# intent_path = intents_client.intent_path(PROJECT_ID, intent_id)
intents_client.delete_intent(intent_id)
except Exception as e:
print("Error 3:", e)
def list_intents(project_id):
intents_client = dialogflow.IntentsClient()
parent = intents_client.project_agent_path(project_id)
intents = intents_client.list_intents(parent)
response = intents_client.batch_delete_intents(parent, intents)