ConversationProfilesAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.dialogflow_v2beta1.services.conversation_profiles.transports.base.ConversationProfilesTransport] = 'grpc_asyncio', client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)
Service for managing ConversationProfiles.
Inheritance
builtins.object > ConversationProfilesAsyncClientProperties
transport
Returns the transport used by the client instance.
Type | Description |
ConversationProfilesTransport | The transport used by the client instance. |
Methods
ConversationProfilesAsyncClient
ConversationProfilesAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.dialogflow_v2beta1.services.conversation_profiles.transports.base.ConversationProfilesTransport] = 'grpc_asyncio', client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)
Instantiates the conversation profiles client.
Name | Description |
credentials |
Optional[google.auth.credentials.Credentials]
The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment. |
transport |
Union[str, `.ConversationProfilesTransport`]
The transport to use. If set to None, a transport is chosen automatically. |
client_options |
ClientOptions
Custom options for the client. It won't take effect if a |
Type | Description |
google.auth.exceptions.MutualTlsChannelError | If mutual TLS transport creation failed for any reason. |
agent_path
agent_path(project: str)
Returns a fully-qualified agent string.
clear_suggestion_feature_config
clear_suggestion_feature_config(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.conversation_profile.ClearSuggestionFeatureConfigRequest, dict]] = None, *, conversation_profile: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Clears a suggestion feature from a conversation profile for the given participant role.
This method is a long-running
operation <https://cloud.google.com/dialogflow/es/docs/how/long-running-operations>
__.
The returned Operation
type has the following
method-specific fields:
metadata
: xref_ClearSuggestionFeatureConfigOperationMetadataresponse
: xref_ConversationProfile
from google.cloud import dialogflow_v2beta1
async def sample_clear_suggestion_feature_config():
# Create a client
client = dialogflow_v2beta1.ConversationProfilesAsyncClient()
# Initialize request argument(s)
request = dialogflow_v2beta1.ClearSuggestionFeatureConfigRequest(
conversation_profile="conversation_profile_value",
participant_role="END_USER",
suggestion_feature_type="SMART_REPLY",
)
# Make the request
operation = client.clear_suggestion_feature_config(request=request)
print("Waiting for operation to complete...")
response = await operation.result()
# Handle the response
print(response)
Name | Description |
request |
Union[google.cloud.dialogflow_v2beta1.types.ClearSuggestionFeatureConfigRequest, dict]
The request object. The request message for [ConversationProfiles.ClearFeature][]. |
conversation_profile |
`str`
Required. The Conversation Profile to add or update the suggestion feature config. Format: |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.api_core.operation_async.AsyncOperation | An object representing a long-running operation. The result type for the operation will be ConversationProfile Defines the services to connect to incoming Dialogflow conversations. |
common_billing_account_path
common_billing_account_path(billing_account: str)
Returns a fully-qualified billing_account string.
common_folder_path
common_folder_path(folder: str)
Returns a fully-qualified folder string.
common_location_path
common_location_path(project: str, location: str)
Returns a fully-qualified location string.
common_organization_path
common_organization_path(organization: str)
Returns a fully-qualified organization string.
common_project_path
common_project_path(project: str)
Returns a fully-qualified project string.
conversation_model_path
conversation_model_path(project: str, location: str, conversation_model: str)
Returns a fully-qualified conversation_model string.
conversation_profile_path
conversation_profile_path(project: str, conversation_profile: str)
Returns a fully-qualified conversation_profile string.
create_conversation_profile
create_conversation_profile(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.conversation_profile.CreateConversationProfileRequest, dict]] = None, *, parent: Optional[str] = None, conversation_profile: Optional[google.cloud.dialogflow_v2beta1.types.conversation_profile.ConversationProfile] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Creates a conversation profile in the specified project.
[ConversationProfile.CreateTime][] and [ConversationProfile.UpdateTime][] aren't populated in the response. You can retrieve them via xref_GetConversationProfile API.
from google.cloud import dialogflow_v2beta1
async def sample_create_conversation_profile():
# Create a client
client = dialogflow_v2beta1.ConversationProfilesAsyncClient()
# Initialize request argument(s)
conversation_profile = dialogflow_v2beta1.ConversationProfile()
conversation_profile.display_name = "display_name_value"
request = dialogflow_v2beta1.CreateConversationProfileRequest(
parent="parent_value",
conversation_profile=conversation_profile,
)
# Make the request
response = await client.create_conversation_profile(request=request)
# Handle the response
print(response)
Name | Description |
request |
Union[google.cloud.dialogflow_v2beta1.types.CreateConversationProfileRequest, dict]
The request object. The request message for ConversationProfiles.CreateConversationProfile. |
parent |
`str`
Required. The project to create a conversation profile for. Format: |
conversation_profile |
ConversationProfile
Required. The conversation profile to create. This corresponds to the |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.cloud.dialogflow_v2beta1.types.ConversationProfile | Defines the services to connect to incoming Dialogflow conversations. |
cx_security_settings_path
cx_security_settings_path(project: str, location: str, security_settings: str)
Returns a fully-qualified cx_security_settings string.
delete_conversation_profile
delete_conversation_profile(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.conversation_profile.DeleteConversationProfileRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Deletes the specified conversation profile.
from google.cloud import dialogflow_v2beta1
async def sample_delete_conversation_profile():
# Create a client
client = dialogflow_v2beta1.ConversationProfilesAsyncClient()
# Initialize request argument(s)
request = dialogflow_v2beta1.DeleteConversationProfileRequest(
name="name_value",
)
# Make the request
await client.delete_conversation_profile(request=request)
Name | Description |
request |
Union[google.cloud.dialogflow_v2beta1.types.DeleteConversationProfileRequest, dict]
The request object. The request message for ConversationProfiles.DeleteConversationProfile. This operation fails if the conversation profile is still referenced from a phone number. |
name |
`str`
Required. The name of the conversation profile to delete. Format: |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
document_path
document_path(project: str, knowledge_base: str, document: str)
Returns a fully-qualified document string.
from_service_account_file
from_service_account_file(filename: str, *args, **kwargs)
Creates an instance of this client using the provided credentials file.
Name | Description |
filename |
str
The path to the service account private key json file. |
Type | Description |
ConversationProfilesAsyncClient | The constructed client. |
from_service_account_info
from_service_account_info(info: dict, *args, **kwargs)
Creates an instance of this client using the provided credentials info.
Name | Description |
info |
dict
The service account private key info. |
Type | Description |
ConversationProfilesAsyncClient | The constructed client. |
from_service_account_json
from_service_account_json(filename: str, *args, **kwargs)
Creates an instance of this client using the provided credentials file.
Name | Description |
filename |
str
The path to the service account private key json file. |
Type | Description |
ConversationProfilesAsyncClient | The constructed client. |
get_conversation_profile
get_conversation_profile(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.conversation_profile.GetConversationProfileRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Retrieves the specified conversation profile.
from google.cloud import dialogflow_v2beta1
async def sample_get_conversation_profile():
# Create a client
client = dialogflow_v2beta1.ConversationProfilesAsyncClient()
# Initialize request argument(s)
request = dialogflow_v2beta1.GetConversationProfileRequest(
name="name_value",
)
# Make the request
response = await client.get_conversation_profile(request=request)
# Handle the response
print(response)
Name | Description |
request |
Union[google.cloud.dialogflow_v2beta1.types.GetConversationProfileRequest, dict]
The request object. The request message for ConversationProfiles.GetConversationProfile. |
name |
`str`
Required. The resource name of the conversation profile. Format: |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.cloud.dialogflow_v2beta1.types.ConversationProfile | Defines the services to connect to incoming Dialogflow conversations. |
get_mtls_endpoint_and_cert_source
get_mtls_endpoint_and_cert_source(
client_options: Optional[google.api_core.client_options.ClientOptions] = None,
)
Return the API endpoint and client cert source for mutual TLS.
The client cert source is determined in the following order:
(1) if GOOGLE_API_USE_CLIENT_CERTIFICATE
environment variable is not "true", the
client cert source is None.
(2) if client_options.client_cert_source
is provided, use the provided one; if the
default client cert source exists, use the default one; otherwise the client cert
source is None.
The API endpoint is determined in the following order:
(1) if client_options.api_endpoint
if provided, use the provided one.
(2) if GOOGLE_API_USE_CLIENT_CERTIFICATE
environment variable is "always", use the
default mTLS endpoint; if the environment variabel is "never", use the default API
endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
use the default API endpoint.
More details can be found at https://google.aip.dev/auth/4114.
Name | Description |
client_options |
google.api_core.client_options.ClientOptions
Custom options for the client. Only the |
Type | Description |
google.auth.exceptions.MutualTLSChannelError | If any errors happen. |
Type | Description |
Tuple[str, Callable[[], Tuple[bytes, bytes]]] | returns the API endpoint and the client cert source to use. |
get_transport_class
get_transport_class()
Returns an appropriate transport class.
knowledge_base_path
knowledge_base_path(project: str, knowledge_base: str)
Returns a fully-qualified knowledge_base string.
list_conversation_profiles
list_conversation_profiles(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.conversation_profile.ListConversationProfilesRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Returns the list of all conversation profiles in the specified project.
from google.cloud import dialogflow_v2beta1
async def sample_list_conversation_profiles():
# Create a client
client = dialogflow_v2beta1.ConversationProfilesAsyncClient()
# Initialize request argument(s)
request = dialogflow_v2beta1.ListConversationProfilesRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_conversation_profiles(request=request)
# Handle the response
async for response in page_result:
print(response)
Name | Description |
request |
Union[google.cloud.dialogflow_v2beta1.types.ListConversationProfilesRequest, dict]
The request object. The request message for ConversationProfiles.ListConversationProfiles. |
parent |
`str`
Required. The project to list all conversation profiles from. Format: |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.cloud.dialogflow_v2beta1.services.conversation_profiles.pagers.ListConversationProfilesAsyncPager | The response message for ConversationProfiles.ListConversationProfiles. Iterating over this object will yield results and resolve additional pages automatically. |
parse_agent_path
parse_agent_path(path: str)
Parses a agent path into its component segments.
parse_common_billing_account_path
parse_common_billing_account_path(path: str)
Parse a billing_account path into its component segments.
parse_common_folder_path
parse_common_folder_path(path: str)
Parse a folder path into its component segments.
parse_common_location_path
parse_common_location_path(path: str)
Parse a location path into its component segments.
parse_common_organization_path
parse_common_organization_path(path: str)
Parse a organization path into its component segments.
parse_common_project_path
parse_common_project_path(path: str)
Parse a project path into its component segments.
parse_conversation_model_path
parse_conversation_model_path(path: str)
Parses a conversation_model path into its component segments.
parse_conversation_profile_path
parse_conversation_profile_path(path: str)
Parses a conversation_profile path into its component segments.
parse_cx_security_settings_path
parse_cx_security_settings_path(path: str)
Parses a cx_security_settings path into its component segments.
parse_document_path
parse_document_path(path: str)
Parses a document path into its component segments.
parse_knowledge_base_path
parse_knowledge_base_path(path: str)
Parses a knowledge_base path into its component segments.
set_suggestion_feature_config
set_suggestion_feature_config(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.conversation_profile.SetSuggestionFeatureConfigRequest, dict]] = None, *, conversation_profile: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Adds or updates a suggestion feature in a conversation profile. If the conversation profile contains the type of suggestion feature for the participant role, it will update it. Otherwise it will insert the suggestion feature.
This method is a long-running
operation <https://cloud.google.com/dialogflow/es/docs/how/long-running-operations>
__.
The returned Operation
type has the following
method-specific fields:
metadata
: xref_SetSuggestionFeatureConfigOperationMetadataresponse
: xref_ConversationProfile
If a long running operation to add or update suggestion feature config for the same conversation profile, participant role and suggestion feature type exists, please cancel the existing long running operation before sending such request, otherwise the request will be rejected.
from google.cloud import dialogflow_v2beta1
async def sample_set_suggestion_feature_config():
# Create a client
client = dialogflow_v2beta1.ConversationProfilesAsyncClient()
# Initialize request argument(s)
request = dialogflow_v2beta1.SetSuggestionFeatureConfigRequest(
conversation_profile="conversation_profile_value",
participant_role="END_USER",
)
# Make the request
operation = client.set_suggestion_feature_config(request=request)
print("Waiting for operation to complete...")
response = await operation.result()
# Handle the response
print(response)
Name | Description |
request |
Union[google.cloud.dialogflow_v2beta1.types.SetSuggestionFeatureConfigRequest, dict]
The request object. The request message for [ConversationProfiles.SetSuggestionFeature][]. |
conversation_profile |
`str`
Required. The Conversation Profile to add or update the suggestion feature config. Format: |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.api_core.operation_async.AsyncOperation | An object representing a long-running operation. The result type for the operation will be ConversationProfile Defines the services to connect to incoming Dialogflow conversations. |
update_conversation_profile
update_conversation_profile(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.conversation_profile.UpdateConversationProfileRequest, dict]] = None, *, conversation_profile: Optional[google.cloud.dialogflow_v2beta1.types.conversation_profile.ConversationProfile] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Updates the specified conversation profile.
[ConversationProfile.CreateTime][] and [ConversationProfile.UpdateTime][] aren't populated in the response. You can retrieve them via xref_GetConversationProfile API.
from google.cloud import dialogflow_v2beta1
async def sample_update_conversation_profile():
# Create a client
client = dialogflow_v2beta1.ConversationProfilesAsyncClient()
# Initialize request argument(s)
conversation_profile = dialogflow_v2beta1.ConversationProfile()
conversation_profile.display_name = "display_name_value"
request = dialogflow_v2beta1.UpdateConversationProfileRequest(
conversation_profile=conversation_profile,
)
# Make the request
response = await client.update_conversation_profile(request=request)
# Handle the response
print(response)
Name | Description |
request |
Union[google.cloud.dialogflow_v2beta1.types.UpdateConversationProfileRequest, dict]
The request object. The request message for ConversationProfiles.UpdateConversationProfile. |
conversation_profile |
ConversationProfile
Required. The conversation profile to update. This corresponds to the |
update_mask |
`google.protobuf.field_mask_pb2.FieldMask`
Required. The mask to control which fields to update. This corresponds to the |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Type | Description |
google.cloud.dialogflow_v2beta1.types.ConversationProfile | Defines the services to connect to incoming Dialogflow conversations. |