Class DocumentServiceAsyncClient (2.20.0)

DocumentServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.documentai_v1beta3.services.document_service.transports.base.DocumentServiceTransport] = '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 to call Cloud DocumentAI to manage document collection (dataset).

Properties

transport

Returns the transport used by the client instance.

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

Methods

DocumentServiceAsyncClient

DocumentServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, google.cloud.documentai_v1beta3.services.document_service.transports.base.DocumentServiceTransport] = '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 document service 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, .DocumentServiceTransport]` 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.

batch_delete_documents

batch_delete_documents(
    request: typing.Optional[
        typing.Union[
            google.cloud.documentai_v1beta3.types.document_service.BatchDeleteDocumentsRequest,
            dict,
        ]
    ] = None,
    *,
    dataset: 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_async.AsyncOperation

Deletes a set of documents.

# 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 documentai_v1beta3

async def sample_batch_delete_documents():
    # Create a client
    client = documentai_v1beta3.DocumentServiceAsyncClient()

    # Initialize request argument(s)
    dataset_documents = documentai_v1beta3.BatchDatasetDocuments()
    dataset_documents.individual_document_ids.document_ids.gcs_managed_doc_id.gcs_uri = "gcs_uri_value"

    request = documentai_v1beta3.BatchDeleteDocumentsRequest(
        dataset="dataset_value",
        dataset_documents=dataset_documents,
    )

    # Make the request
    operation = client.batch_delete_documents(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.documentai_v1beta3.types.BatchDeleteDocumentsRequest, dict]]` The request object.
`dataset`	`str` Required. The dataset resource name. Format: projects/{project}/locations/{location}/processors/{processor}/dataset This corresponds to the `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_async.AsyncOperation`	An object representing a long-running operation. The result type for the operation will be BatchDeleteDocumentsResponse Response of the delete documents operation.

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.

dataset_path

dataset_path(project: str, location: str, processor: str) -> str

Returns a fully-qualified dataset string.

dataset_schema_path

dataset_schema_path(project: str, location: str, processor: str) -> str

Returns a fully-qualified dataset_schema 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
`DocumentServiceAsyncClient`	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
`DocumentServiceAsyncClient`	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
`DocumentServiceAsyncClient`	The constructed client.

get_dataset_schema

get_dataset_schema(
    request: typing.Optional[
        typing.Union[
            google.cloud.documentai_v1beta3.types.document_service.GetDatasetSchemaRequest,
            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.documentai_v1beta3.types.dataset.DatasetSchema

Gets the DatasetSchema of a 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 documentai_v1beta3

async def sample_get_dataset_schema():
    # Create a client
    client = documentai_v1beta3.DocumentServiceAsyncClient()

    # Initialize request argument(s)
    request = documentai_v1beta3.GetDatasetSchemaRequest(
        name="name_value",
    )

    # Make the request
    response = await client.get_dataset_schema(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.documentai_v1beta3.types.GetDatasetSchemaRequest, dict]]` The request object. Request for `GetDatasetSchema`.
`name`	`str` Required. The dataset schema resource name. Format: projects/{project}/locations/{location}/processors/{processor}/dataset/datasetSchema 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.documentai_v1beta3.types.DatasetSchema`	Dataset Schema.

get_document

get_document(
    request: typing.Optional[
        typing.Union[
            google.cloud.documentai_v1beta3.types.document_service.GetDocumentRequest,
            dict,
        ]
    ] = None,
    *,
    dataset: 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.documentai_v1beta3.types.document_service.GetDocumentResponse

Returns relevant fields present in the requested document.

# 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 documentai_v1beta3

async def sample_get_document():
    # Create a client
    client = documentai_v1beta3.DocumentServiceAsyncClient()

    # Initialize request argument(s)
    document_id = documentai_v1beta3.DocumentId()
    document_id.gcs_managed_doc_id.gcs_uri = "gcs_uri_value"

    request = documentai_v1beta3.GetDocumentRequest(
        dataset="dataset_value",
        document_id=document_id,
    )

    # Make the request
    response = await client.get_document(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.documentai_v1beta3.types.GetDocumentRequest, dict]]` The request object.
`dataset`	`str` Required. The resource name of the dataset that the document belongs to . Format: projects/{project}/locations/{location}/processors/{processor}/dataset This corresponds to the `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.

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.

get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.documentai_v1beta3.services.document_service.transports.base.DocumentServiceTransport
    ]
)

Returns an appropriate transport class.

import_documents

import_documents(
    request: typing.Optional[
        typing.Union[
            google.cloud.documentai_v1beta3.types.document_service.ImportDocumentsRequest,
            dict,
        ]
    ] = None,
    *,
    dataset: 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_async.AsyncOperation

Import documents into a 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 documentai_v1beta3

async def sample_import_documents():
    # Create a client
    client = documentai_v1beta3.DocumentServiceAsyncClient()

    # Initialize request argument(s)
    batch_documents_import_configs = documentai_v1beta3.BatchDocumentsImportConfig()
    batch_documents_import_configs.dataset_split = "DATASET_SPLIT_UNASSIGNED"

    request = documentai_v1beta3.ImportDocumentsRequest(
        dataset="dataset_value",
        batch_documents_import_configs=batch_documents_import_configs,
    )

    # Make the request
    operation = client.import_documents(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.documentai_v1beta3.types.ImportDocumentsRequest, dict]]` The request object.
`dataset`	`str` Required. The dataset resource name. Format: projects/{project}/locations/{location}/processors/{processor}/dataset This corresponds to the `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_async.AsyncOperation`	An object representing a long-running operation. The result type for the operation will be ImportDocumentsResponse Response of the import document operation.

list_documents

list_documents(
    request: typing.Optional[
        typing.Union[
            google.cloud.documentai_v1beta3.types.document_service.ListDocumentsRequest,
            dict,
        ]
    ] = None,
    *,
    dataset: 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.documentai_v1beta3.services.document_service.pagers.ListDocumentsAsyncPager
)

Returns a list of documents present in the 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 documentai_v1beta3

async def sample_list_documents():
    # Create a client
    client = documentai_v1beta3.DocumentServiceAsyncClient()

    # Initialize request argument(s)
    request = documentai_v1beta3.ListDocumentsRequest(
        dataset="dataset_value",
    )

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

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

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.documentai_v1beta3.types.ListDocumentsRequest, dict]]` The request object.
`dataset`	`str` Required. The resource name of the dataset to be listed. Format: projects/{project}/locations/{location}/processors/{processor}/dataset This corresponds to the `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.cloud.documentai_v1beta3.services.document_service.pagers.ListDocumentsAsyncPager`	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_dataset_path

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

Parses a dataset path into its component segments.

parse_dataset_schema_path

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

Parses a dataset_schema path into its component segments.

parse_schema_path

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

Parses a schema path into its component segments.

schema_path

schema_path(project: str, location: str, schema: str) -> str

Returns a fully-qualified schema string.

update_dataset

update_dataset(
    request: typing.Optional[
        typing.Union[
            google.cloud.documentai_v1beta3.types.document_service.UpdateDatasetRequest,
            dict,
        ]
    ] = None,
    *,
    dataset: typing.Optional[
        google.cloud.documentai_v1beta3.types.dataset.Dataset
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = 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_async.AsyncOperation

Updates metadata associated with a 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 documentai_v1beta3

async def sample_update_dataset():
    # Create a client
    client = documentai_v1beta3.DocumentServiceAsyncClient()

    # Initialize request argument(s)
    dataset = documentai_v1beta3.Dataset()
    dataset.state = "INITIALIZED"

    request = documentai_v1beta3.UpdateDatasetRequest(
        dataset=dataset,
    )

    # Make the request
    operation = client.update_dataset(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.documentai_v1beta3.types.UpdateDatasetRequest, dict]]` The request object.
`dataset`	`Dataset` Required. The `name` field of the `Dataset` is used to identify the resource to be updated. This corresponds to the `dataset` field on the `request` instance; if `request` is provided, this should not be set.
`update_mask`	`google.protobuf.field_mask_pb2.FieldMask` The update mask applies to the resource. 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.api_core.operation_async.AsyncOperation`	An object representing a long-running operation. The result type for the operation will be Dataset A singleton resource under a Processor which configures a collection of documents.

update_dataset_schema

update_dataset_schema(
    request: typing.Optional[
        typing.Union[
            google.cloud.documentai_v1beta3.types.document_service.UpdateDatasetSchemaRequest,
            dict,
        ]
    ] = None,
    *,
    dataset_schema: typing.Optional[
        google.cloud.documentai_v1beta3.types.dataset.DatasetSchema
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = 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.documentai_v1beta3.types.dataset.DatasetSchema

Updates a DatasetSchema.

# 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 documentai_v1beta3

async def sample_update_dataset_schema():
    # Create a client
    client = documentai_v1beta3.DocumentServiceAsyncClient()

    # Initialize request argument(s)
    request = documentai_v1beta3.UpdateDatasetSchemaRequest(
    )

    # Make the request
    response = await client.update_dataset_schema(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Optional[Union[google.cloud.documentai_v1beta3.types.UpdateDatasetSchemaRequest, dict]]` The request object. Request for `UpdateDatasetSchema`.
`dataset_schema`	`DatasetSchema` Required. The name field of the `DatasetSchema` is used to identify the resource to be updated. This corresponds to the `dataset_schema` field on the `request` instance; if `request` is provided, this should not be set.
`update_mask`	`google.protobuf.field_mask_pb2.FieldMask` The update mask applies to the resource. 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.documentai_v1beta3.types.DatasetSchema`	Dataset Schema.