Class ConversationDatasetsClient (2.25.0)

ConversationDatasetsClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dialogflow_v2.services.conversation_datasets.transports.base.ConversationDatasetsTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Conversation datasets.

Conversation datasets contain raw conversation files and their customizable metadata that can be used for model training.

Properties

transport

Returns the transport used by the client instance.

Returns
Type	Description
`ConversationDatasetsTransport`	The transport used by the client instance.

Methods

ConversationDatasetsClient

ConversationDatasetsClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dialogflow_v2.services.conversation_datasets.transports.base.ConversationDatasetsTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Instantiates the conversation datasets 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, ConversationDatasetsTransport]` The transport to use. 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. 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.
`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.

exit

__exit__(type, value, traceback)

Releases underlying transport's resources.

cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Union[
        google.api_core.retry.Retry, 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.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.

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_dataset_path

conversation_dataset_path(
    project: str, location: str, conversation_dataset: str
) -> str

Returns a fully-qualified conversation_dataset string.

create_conversation_dataset

create_conversation_dataset(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflow_v2.types.conversation_dataset.CreateConversationDatasetRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    conversation_dataset: typing.Optional[
        google.cloud.dialogflow_v2.types.conversation_dataset.ConversationDataset
    ] = None,
    retry: typing.Union[
        google.api_core.retry.Retry, 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.Operation

Creates a new conversation dataset.

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_CreateConversationDatasetOperationMetadata
response: xref_ConversationDataset

# 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_v2

def sample_create_conversation_dataset():
    # Create a client
    client = dialogflow_v2.ConversationDatasetsClient()

    # Initialize request argument(s)
    conversation_dataset = dialogflow_v2.ConversationDataset()
    conversation_dataset.display_name = "display_name_value"

    request = dialogflow_v2.CreateConversationDatasetRequest(
        parent="parent_value",
        conversation_dataset=conversation_dataset,
    )

    # Make the request
    operation = client.create_conversation_dataset(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.CreateConversationDatasetRequest, dict]` The request object. The request message for ConversationDatasets.CreateConversationDataset.
`parent`	`str` Required. The project to create conversation dataset for. Format: `projects/` This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`conversation_dataset`	`google.cloud.dialogflow_v2.types.ConversationDataset` Required. The conversation dataset to create. This corresponds to the `conversation_dataset` 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.Operation`	An object representing a long-running operation. The result type for the operation will be ConversationDataset Represents a conversation dataset that a user imports raw data into. The data inside ConversationDataset can not be changed after ImportConversationData finishes (and calling ImportConversationData on a dataset that already has data is not allowed).

delete_conversation_dataset

delete_conversation_dataset(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflow_v2.types.conversation_dataset.DeleteConversationDatasetRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Union[
        google.api_core.retry.Retry, 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.Operation

Deletes the specified conversation dataset.

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_DeleteConversationDatasetOperationMetadata
response: An Empty message <https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty>__

# 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_v2

def sample_delete_conversation_dataset():
    # Create a client
    client = dialogflow_v2.ConversationDatasetsClient()

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

    # Make the request
    operation = client.delete_conversation_dataset(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.DeleteConversationDatasetRequest, dict]` The request object. The request message for ConversationDatasets.DeleteConversationDataset.
`name`	`str` Required. The conversation dataset 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.

Returns

Type Description

google.api_core.operation.Operation An object representing a long-running operation. The result type for the operation will be google.protobuf.empty_pb2.Empty A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }

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
`ConversationDatasetsClient`	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
`ConversationDatasetsClient`	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
`ConversationDatasetsClient`	The constructed client.

get_conversation_dataset

get_conversation_dataset(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflow_v2.types.conversation_dataset.GetConversationDatasetRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Union[
        google.api_core.retry.Retry, 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_v2.types.conversation_dataset.ConversationDataset

Retrieves the specified conversation dataset.

# 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_v2

def sample_get_conversation_dataset():
    # Create a client
    client = dialogflow_v2.ConversationDatasetsClient()

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.dialogflow_v2.types.GetConversationDatasetRequest, dict]` The request object. The request message for ConversationDatasets.GetConversationDataset.
`name`	`str` Required. The conversation dataset to retrieve. 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.ConversationDataset`	Represents a conversation dataset that a user imports raw data into. The data inside ConversationDataset can not be changed after ImportConversationData finishes (and calling ImportConversationData on a dataset that already has data is not allowed).

get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Union[
        google.api_core.retry.Retry, 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.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
`.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.Union[
        google.api_core.retry.Retry, 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.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
`.operations_pb2.Operation`	An `Operation` object.

import_conversation_data

import_conversation_data(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflow_v2.types.conversation_dataset.ImportConversationDataRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Union[
        google.api_core.retry.Retry, 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.Operation

Import data into the specified conversation dataset. Note that it is not allowed to import data to a conversation dataset that already has data in it.

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_ImportConversationDataOperationMetadata
response: xref_ImportConversationDataOperationResponse

# 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_v2

def sample_import_conversation_data():
    # Create a client
    client = dialogflow_v2.ConversationDatasetsClient()

    # Initialize request argument(s)
    input_config = dialogflow_v2.InputConfig()
    input_config.gcs_source.uris = ['uris_value1', 'uris_value2']

    request = dialogflow_v2.ImportConversationDataRequest(
        name="name_value",
        input_config=input_config,
    )

    # Make the request
    operation = client.import_conversation_data(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.ImportConversationDataRequest, dict]` The request object. The request message for ConversationDatasets.ImportConversationData.
`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.Operation`	An object representing a long-running operation. The result type for the operation will be ImportConversationDataOperationResponse Response used for ConversationDatasets.ImportConversationData long running operation.

list_conversation_datasets

list_conversation_datasets(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflow_v2.types.conversation_dataset.ListConversationDatasetsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Union[
        google.api_core.retry.Retry, 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_v2.services.conversation_datasets.pagers.ListConversationDatasetsPager
)

Returns the list of all conversation datasets in the specified project and location.

# 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_v2

def sample_list_conversation_datasets():
    # Create a client
    client = dialogflow_v2.ConversationDatasetsClient()

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

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

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

Parameters
Name	Description
`request`	`Union[google.cloud.dialogflow_v2.types.ListConversationDatasetsRequest, dict]` The request object. The request message for ConversationDatasets.ListConversationDatasets.
`parent`	`str` Required. The project and location name to list all conversation datasets for. 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_datasets.pagers.ListConversationDatasetsPager`	The response message for ConversationDatasets.ListConversationDatasets. 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.Union[
        google.api_core.retry.Retry, 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.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
`.location_pb2.ListLocationsResponse`	Response message for `ListLocations` method.

list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Union[
        google.api_core.retry.Retry, 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.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
`.operations_pb2.ListOperationsResponse`	Response message for `ListOperations` method.

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_dataset_path

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

Parses a conversation_dataset path into its component segments.