Class ConversationProfilesAsyncClient (2.13.0)

ConversationProfilesAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.dialogflow_v2.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.

Properties

transport

Returns the transport used by the client instance.

Returns
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_v2.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.

Parameters
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 `transport` instance is provided. (1) The `api_endpoint` property can be used to override the default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT environment variable can also be used to override the endpoint: "always" (always use the default mTLS endpoint), "never" (always use the default regular endpoint) and "auto" (auto switch to the default mTLS endpoint if client certificate is present, this is the default value). However, the `api_endpoint` property takes precedence if provided. (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the `client_cert_source` property can be used to provide client certificate for mutual TLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not set, no client certificate will be used.

Exceptions
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_v2.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_ClearSuggestionFeatureConfigOperationMetadata
response: xref_ConversationProfile

from google.cloud import dialogflow_v2

def sample_clear_suggestion_feature_config():
    # Create a client
    client = dialogflow_v2.ConversationProfilesClient()

    # Initialize request argument(s)
    request = dialogflow_v2.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 = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.dialogflow_v2.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: `projects/`. This corresponds to the `conversation_profile` field on the `request` instance; if `request` is provided, this should not be set.
`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.

Returns
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_v2.types.conversation_profile.CreateConversationProfileRequest, dict]] = None, *, parent: Optional[str] = None, conversation_profile: Optional[google.cloud.dialogflow_v2.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_v2

def sample_create_conversation_profile():
    # Create a client
    client = dialogflow_v2.ConversationProfilesClient()

    # Initialize request argument(s)
    conversation_profile = dialogflow_v2.ConversationProfile()
    conversation_profile.display_name = "display_name_value"

    request = dialogflow_v2.CreateConversationProfileRequest(
        parent="parent_value",
        conversation_profile=conversation_profile,
    )

    # Make the request
    response = client.create_conversation_profile(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.dialogflow_v2.types.CreateConversationProfileRequest, dict]` The request object. The request message for ConversationProfiles.CreateConversationProfile.
`parent`	`str` Required. The project to create a conversation profile for. Format: `projects/`. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`conversation_profile`	`ConversationProfile` Required. The conversation profile to create. This corresponds to the `conversation_profile` field on the `request` instance; if `request` is provided, this should not be set.
`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.

Returns
Type	Description
`google.cloud.dialogflow_v2.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_v2.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_v2

def sample_delete_conversation_profile():
    # Create a client
    client = dialogflow_v2.ConversationProfilesClient()

    # Initialize request argument(s)
    request = dialogflow_v2.DeleteConversationProfileRequest(
        name="name_value",
    )

    # Make the request
    client.delete_conversation_profile(request=request)

Parameters
Name	Description
`request`	`Union[google.cloud.dialogflow_v2.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: `projects/`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`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.

Parameter
Name	Description
`filename`	`str` The path to the service account private key json file.

Returns
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.

Parameter
Name	Description
`info`	`dict` The service account private key info.

Returns
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.

Parameter
Name	Description
`filename`	`str` The path to the service account private key json file.

Returns
Type	Description
`ConversationProfilesAsyncClient`	The constructed client.

get_conversation_profile

get_conversation_profile(request: Optional[Union[google.cloud.dialogflow_v2.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_v2

def sample_get_conversation_profile():
    # Create a client
    client = dialogflow_v2.ConversationProfilesClient()

    # Initialize request argument(s)
    request = dialogflow_v2.GetConversationProfileRequest(
        name="name_value",
    )

    # Make the request
    response = client.get_conversation_profile(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.dialogflow_v2.types.GetConversationProfileRequest, dict]` The request object. The request message for ConversationProfiles.GetConversationProfile.
`name`	`str` Required. The resource name of the conversation profile. Format: `projects/`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`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.

Returns
Type	Description
`google.cloud.dialogflow_v2.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.

Parameter
Name	Description
`client_options`	`google.api_core.client_options.ClientOptions` Custom options for the client. Only the `api_endpoint` and `client_cert_source` properties may be used in this method.

Exceptions
Type	Description
`google.auth.exceptions.MutualTLSChannelError`	If any errors happen.

Returns
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_v2.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_v2

def sample_list_conversation_profiles():
    # Create a client
    client = dialogflow_v2.ConversationProfilesClient()

    # Initialize request argument(s)
    request = dialogflow_v2.ListConversationProfilesRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.list_conversation_profiles(request=request)

    # Handle the response
    for response in page_result:
        print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.dialogflow_v2.types.ListConversationProfilesRequest, dict]` The request object. The request message for ConversationProfiles.ListConversationProfiles.
`parent`	`str` Required. The project to list all conversation profiles from. Format: `projects/`. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`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.

Returns
Type	Description
`google.cloud.dialogflow_v2.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_v2.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_SetSuggestionFeatureConfigOperationMetadata
response: 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_v2

def sample_set_suggestion_feature_config():
    # Create a client
    client = dialogflow_v2.ConversationProfilesClient()

    # Initialize request argument(s)
    request = dialogflow_v2.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 = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.dialogflow_v2.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: `projects/`. This corresponds to the `conversation_profile` field on the `request` instance; if `request` is provided, this should not be set.
`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.

Returns
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_v2.types.conversation_profile.UpdateConversationProfileRequest, dict]] = None, *, conversation_profile: Optional[google.cloud.dialogflow_v2.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_v2

def sample_update_conversation_profile():
    # Create a client
    client = dialogflow_v2.ConversationProfilesClient()

    # Initialize request argument(s)
    conversation_profile = dialogflow_v2.ConversationProfile()
    conversation_profile.display_name = "display_name_value"

    request = dialogflow_v2.UpdateConversationProfileRequest(
        conversation_profile=conversation_profile,
    )

    # Make the request
    response = client.update_conversation_profile(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.dialogflow_v2.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 `conversation_profile` field on the `request` instance; if `request` is provided, this should not be set.
`update_mask`	`google.protobuf.field_mask_pb2.FieldMask` Required. The mask to control which fields to update. This corresponds to the `update_mask` field on the `request` instance; if `request` is provided, this should not be set.
`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.

Returns
Type	Description
`google.cloud.dialogflow_v2.types.ConversationProfile`	Defines the services to connect to incoming Dialogflow conversations.