def sample_list_messages():
# Create a client
client = dialogflow_v2beta1.ConversationsClient()
# Initialize request argument(s)
request = dialogflow_v2beta1.ListMessagesRequest(parent="parent_value", )
# Make the request
page_result = client.list_messages(request=request)
# Handle the response
for response in page_result:
print(response)
def sample_complete_conversation():
# Create a client
client = dialogflow_v2beta1.ConversationsClient()
# Initialize request argument(s)
request = dialogflow_v2beta1.CompleteConversationRequest(
name="name_value", )
# Make the request
response = client.complete_conversation(request=request)
# Handle the response
print(response)
def complete_conversation(project_id, conversation_id):
"""Completes the specified conversation. Finished conversations are purged from the database after 30 days.
Args:
project_id: The GCP project linked with the conversation.
conversation_id: Id of the conversation."""
client = dialogflow.ConversationsClient()
conversation_path = client.conversation_path(project_id, conversation_id)
conversation = client.complete_conversation(name=conversation_path)
print("Completed Conversation.")
print("Life Cycle State: {}".format(conversation.lifecycle_state))
print("Conversation Profile Name: {}".format(
conversation.conversation_profile))
print("Name: {}".format(conversation.name))
return conversation
def get_conversation(project_id, conversation_id):
"""Gets a specific conversation profile.
Args:
project_id: The GCP project linked with the conversation.
conversation_id: Id of the conversation."""
client = dialogflow.ConversationsClient()
conversation_path = client.conversation_path(project_id, conversation_id)
response = client.get_conversation(name=conversation_path)
print("Life Cycle State: {}".format(response.lifecycle_state))
print("Conversation Profile Name: {}".format(
response.conversation_profile))
print("Name: {}".format(response.name))
return response
def sample_create_conversation():
# Create a client
client = dialogflow_v2beta1.ConversationsClient()
# Initialize request argument(s)
conversation = dialogflow_v2beta1.Conversation()
conversation.conversation_profile = "conversation_profile_value"
request = dialogflow_v2beta1.CreateConversationRequest(
parent="parent_value",
conversation=conversation,
)
# Make the request
response = client.create_conversation(request=request)
# Handle the response
print(response)
def sample_batch_create_messages():
# Create a client
client = dialogflow_v2beta1.ConversationsClient()
# Initialize request argument(s)
requests = dialogflow_v2beta1.CreateMessageRequest()
requests.parent = "parent_value"
requests.message.content = "content_value"
request = dialogflow_v2beta1.BatchCreateMessagesRequest(
parent="parent_value",
requests=requests,
)
# Make the request
response = client.batch_create_messages(request=request)
# Handle the response
print(response)
def create_conversation(project_id, conversation_profile_id):
"""Creates a conversation with given values
Args:
project_id: The GCP project linked with the conversation.
conversation_profile_id: The conversation profile id used to create
conversation."""
client = dialogflow.ConversationsClient()
conversation_profile_client = dialogflow.ConversationProfilesClient()
project_path = client.common_project_path(project_id)
conversation_profile_path = conversation_profile_client.conversation_profile_path(
project_id, conversation_profile_id)
conversation = {"conversation_profile": conversation_profile_path}
response = client.create_conversation(parent=project_path,
conversation=conversation)
print("Life Cycle State: {}".format(response.lifecycle_state))
print("Conversation Profile Name: {}".format(
response.conversation_profile))
print("Name: {}".format(response.name))
return response