Class ConversationProfilesAsyncClient (2.36.0) 

ConversationProfilesAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dialogflow_v2beta1.services.conversation_profiles.transports.base.ConversationProfilesTransport, typing.Callable[[...], google.cloud.dialogflow_v2beta1.services.conversation_profiles.transports.base.ConversationProfilesTransport]]] = 'grpc_asyncio', client_options: typing.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

api_endpoint

Return the API endpoint used by the client instance.

Returns
Type Description
str The API endpoint used by the client instance.

transport

Returns the transport used by the client instance.

Returns
Type Description
ConversationProfilesTransport The transport used by the client instance.

universe_domain

Return the universe domain used by the client instance.

Returns
Type Description
str The universe domain used by the client instance.

Methods

ConversationProfilesAsyncClient

ConversationProfilesAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dialogflow_v2beta1.services.conversation_profiles.transports.base.ConversationProfilesTransport, typing.Callable[[...], google.cloud.dialogflow_v2beta1.services.conversation_profiles.transports.base.ConversationProfilesTransport]]] = 'grpc_asyncio', client_options: typing.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 async 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 Optional[Union[str,ConversationProfilesTransport,Callable[..., ConversationProfilesTransport]]]

The transport to use, or a Callable that constructs and returns a new transport to use. If a Callable is given, it will be called with the same set of initialization arguments as used in the ConversationProfilesTransport constructor. If set to None, a transport is chosen automatically.
client_options Optional[Union[google.api_core.client_options.ClientOptions, dict]]

Custom options for the client. 1. The api_endpoint property can be used to override the default endpoint provided by the client when transport is not explicitly provided. Only if this property is not set and transport was not explicitly provided, the endpoint is determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment variable, which have one of the following values: "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). 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the client_cert_source property can be used to provide a client certificate for mTLS 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. 3. The universe_domain property can be used to override the default "googleapis.com" universe. Note that api_endpoint property still takes precedence; and universe_domain is currently not supported for mTLS.
client_info google.api_core.gapic_v1.client_info.ClientInfo

The client info used to send a user-agent string along with API requests. If None, then default info will be used. Generally, you only need to set this if you're developing your own client library.
Exceptions
Type Description
google.auth.exceptions.MutualTlsChannelError If mutual TLS transport creation failed for any reason.

agent_path

agent_path(project: str) -> str

Returns a fully-qualified agent string.

cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.

Parameters
Name Description
request .operations_pb2.CancelOperationRequest

The request object. Request message for CancelOperation method.
retry google.api_core.retry_async.AsyncRetry

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.

clear_suggestion_feature_config

clear_suggestion_feature_config(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflow_v2beta1.types.conversation_profile.ClearSuggestionFeatureConfigRequest,
            dict,
        ]
    ] = None,
    *,
    conversation_profile: typing.Optional[str] = None,
    participant_role: typing.Optional[
        google.cloud.dialogflow_v2beta1.types.participant.Participant.Role
    ] = None,
    suggestion_feature_type: typing.Optional[
        google.cloud.dialogflow_v2beta1.types.participant.SuggestionFeature.Type
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

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
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
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="KNOWLEDGE_ASSIST",
    )

    # 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)
Parameters
Name Description
request Optional[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: projects/. This corresponds to the conversation_profile field on the request instance; if request is provided, this should not be set.
participant_role Role

Required. The participant role to remove the suggestion feature config. Only HUMAN_AGENT or END_USER can be used. This corresponds to the participant_role field on the request instance; if request is provided, this should not be set.
suggestion_feature_type Type

Required. The type of the suggestion feature to remove. This corresponds to the suggestion_feature_type field on the request instance; if request is provided, this should not be set.
retry google.api_core.retry_async.AsyncRetry

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) -> str

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

conversation_model_path

conversation_model_path(
    project: str, location: str, conversation_model: str
) -> str

Returns a fully-qualified conversation_model string.

conversation_profile_path

conversation_profile_path(project: str, conversation_profile: str) -> str

Returns a fully-qualified conversation_profile string.

create_conversation_profile

create_conversation_profile(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflow_v2beta1.types.conversation_profile.CreateConversationProfileRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    conversation_profile: typing.Optional[
        google.cloud.dialogflow_v2beta1.types.conversation_profile.ConversationProfile
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dialogflow_v2beta1.types.conversation_profile.ConversationProfile

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.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
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)
Parameters
Name Description
request Optional[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: 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_async.AsyncRetry

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_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
) -> str

Returns a fully-qualified cx_security_settings string.

delete_conversation_profile

delete_conversation_profile(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflow_v2beta1.types.conversation_profile.DeleteConversationProfileRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes the specified conversation profile.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
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)
Parameters
Name Description
request Optional[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: 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_async.AsyncRetry

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) -> 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.

generator_path

generator_path(project: str, location: str, generator: str) -> str

Returns a fully-qualified generator string.

get_conversation_profile

get_conversation_profile(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflow_v2beta1.types.conversation_profile.GetConversationProfileRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dialogflow_v2beta1.types.conversation_profile.ConversationProfile

Retrieves the specified conversation profile.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
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)
Parameters
Name Description
request Optional[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: 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_async.AsyncRetry

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_v2beta1.types.ConversationProfile Defines the services to connect to incoming Dialogflow conversations.

get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

Parameters
Name Description
request .location_pb2.GetLocationRequest

The request object. Request message for GetLocation method.
retry google.api_core.retry_async.AsyncRetry

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
.location_pb2.Location Location object.

get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.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 variable 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_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

Parameters
Name Description
request .operations_pb2.GetOperationRequest

The request object. Request message for GetOperation method.
retry google.api_core.retry_async.AsyncRetry

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
.operations_pb2.Operation An Operation object.

get_transport_class

get_transport_class(
    label: typing.Optional[str] = None,
) -> typing.Type[
    google.cloud.dialogflow_v2beta1.services.conversation_profiles.transports.base.ConversationProfilesTransport
]

Returns an appropriate transport class.

Parameter
Name Description
label typing.Optional[str]

The name of the desired transport. If none is provided, then the first transport in the registry is used.

knowledge_base_path

knowledge_base_path(project: str, knowledge_base: str) -> str

Returns a fully-qualified knowledge_base string.

list_conversation_profiles

list_conversation_profiles(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflow_v2beta1.types.conversation_profile.ListConversationProfilesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> (
    google.cloud.dialogflow_v2beta1.services.conversation_profiles.pagers.ListConversationProfilesAsyncPager
)

Returns the list of all conversation profiles in the specified project.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
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)
Parameters
Name Description
request Optional[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: 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_async.AsyncRetry

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_v2beta1.services.conversation_profiles.pagers.ListConversationProfilesAsyncPager The response message for ConversationProfiles.ListConversationProfiles. Iterating over this object will yield results and resolve additional pages automatically.

list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

Parameters
Name Description
request .location_pb2.ListLocationsRequest

The request object. Request message for ListLocations method.
retry google.api_core.retry_async.AsyncRetry

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
.location_pb2.ListLocationsResponse Response message for ListLocations method.

list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

Parameters
Name Description
request .operations_pb2.ListOperationsRequest

The request object. Request message for ListOperations method.
retry google.api_core.retry_async.AsyncRetry

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
.operations_pb2.ListOperationsResponse Response message for ListOperations method.

parse_agent_path

parse_agent_path(path: str) -> typing.Dict[str, str]

Parses a agent path into its component segments.

parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

parse_conversation_model_path

parse_conversation_model_path(path: str) -> typing.Dict[str, str]

Parses a conversation_model path into its component segments.

parse_conversation_profile_path

parse_conversation_profile_path(path: str) -> typing.Dict[str, str]

Parses a conversation_profile path into its component segments.

parse_cx_security_settings_path

parse_cx_security_settings_path(path: str) -> typing.Dict[str, str]

Parses a cx_security_settings path into its component segments.

parse_document_path

parse_document_path(path: str) -> typing.Dict[str, str]

Parses a document path into its component segments.

parse_generator_path

parse_generator_path(path: str) -> typing.Dict[str, str]

Parses a generator path into its component segments.

parse_knowledge_base_path

parse_knowledge_base_path(path: str) -> typing.Dict[str, str]

Parses a knowledge_base path into its component segments.

parse_phrase_set_path

parse_phrase_set_path(path: str) -> typing.Dict[str, str]

Parses a phrase_set path into its component segments.

phrase_set_path

phrase_set_path(project: str, location: str, phrase_set: str) -> str

Returns a fully-qualified phrase_set string.

set_suggestion_feature_config

set_suggestion_feature_config(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflow_v2beta1.types.conversation_profile.SetSuggestionFeatureConfigRequest,
            dict,
        ]
    ] = None,
    *,
    conversation_profile: typing.Optional[str] = None,
    participant_role: typing.Optional[
        google.cloud.dialogflow_v2beta1.types.participant.Participant.Role
    ] = None,
    suggestion_feature_config: typing.Optional[
        google.cloud.dialogflow_v2beta1.types.conversation_profile.HumanAgentAssistantConfig.SuggestionFeatureConfig
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

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.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
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)
Parameters
Name Description
request Optional[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: projects/. This corresponds to the conversation_profile field on the request instance; if request is provided, this should not be set.
participant_role Role

Required. The participant role to add or update the suggestion feature config. Only HUMAN_AGENT or END_USER can be used. This corresponds to the participant_role field on the request instance; if request is provided, this should not be set.
suggestion_feature_config SuggestionFeatureConfig

Required. The suggestion feature config to add or update. This corresponds to the suggestion_feature_config field on the request instance; if request is provided, this should not be set.
retry google.api_core.retry_async.AsyncRetry

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: typing.Optional[
        typing.Union[
            google.cloud.dialogflow_v2beta1.types.conversation_profile.UpdateConversationProfileRequest,
            dict,
        ]
    ] = None,
    *,
    conversation_profile: typing.Optional[
        google.cloud.dialogflow_v2beta1.types.conversation_profile.ConversationProfile
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dialogflow_v2beta1.types.conversation_profile.ConversationProfile

Updates the specified conversation profile.

[ConversationProfile.CreateTime][] and [ConversationProfile.UpdateTime][] aren't populated in the response. You can retrieve them via xref_GetConversationProfile API.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
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)
Parameters
Name Description
request Optional[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 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_async.AsyncRetry

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_v2beta1.types.ConversationProfile Defines the services to connect to incoming Dialogflow conversations.