Class DocumentUnderstandingServiceClient (1.1.0)

Version 1.1.0

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DocumentUnderstandingServiceClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.documentai_v1beta2.services.document_understanding_service.transports.base.DocumentUnderstandingServiceTransport]] = None, client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Service to parse structured information from unstructured or semi-structured documents using state-of-the-art Google AI such as natural language, computer vision, and translation.

Properties

transport

Returns the transport used by the client instance.

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

Methods

DocumentUnderstandingServiceClient

DocumentUnderstandingServiceClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.documentai_v1beta2.services.document_understanding_service.transports.base.DocumentUnderstandingServiceTransport]] = None, client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Instantiates the document understanding 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, DocumentUnderstandingServiceTransport] The transport to use. If set to None, a transport is chosen automatically.
client_options	google.api_core.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.
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.

Warning: ONLY use as a context manager if the transport is NOT shared with other clients! Exiting the with block will CLOSE the transport and may cause errors in other clients!

batch_process_documents

batch_process_documents(request: Optional[Union[google.cloud.documentai_v1beta2.types.document_understanding.BatchProcessDocumentsRequest, dict]] = None, *, requests: Optional[Sequence[google.cloud.documentai_v1beta2.types.document_understanding.ProcessDocumentRequest]] = None, retry: google.api_core.retry.Retry = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

LRO endpoint to batch process many documents. The output is written to Cloud Storage as JSON in the [Document] format.

Parameters
Name	Description
request	Union[google.cloud.documentai_v1beta2.types.BatchProcessDocumentsRequest, dict] The request object. Request to batch process documents as an asynchronous operation. The output is written to Cloud Storage as JSON in the [Document] format.
requests	Sequence[google.cloud.documentai_v1beta2.types.ProcessDocumentRequest] Required. Individual requests for each document. This corresponds to the requests 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 BatchProcessDocumentsResponse Response to an batch document processing request. This is returned in the LRO Operation after the operation is complete.

common_billing_account_path

common_billing_account_path(billing_account: str)

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str)

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str)

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str)

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str)

Returns a fully-qualified project string.

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
DocumentUnderstandingServiceClient	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
DocumentUnderstandingServiceClient	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
DocumentUnderstandingServiceClient	The constructed client.

parse_common_billing_account_path

parse_common_billing_account_path(path: str)

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str)

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str)

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str)

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str)

Parse a project path into its component segments.

process_document

process_document(request: Optional[Union[google.cloud.documentai_v1beta2.types.document_understanding.ProcessDocumentRequest, dict]] = None, *, retry: google.api_core.retry.Retry = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Processes a single document.

Parameters
Name	Description
request	Union[google.cloud.documentai_v1beta2.types.ProcessDocumentRequest, dict] The request object. Request to process one document.
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_v1beta2.types.Document	Document represents the canonical document resource in Document Understanding AI. It is an interchange format that provides insights into documents and allows for collaboration between users and Document Understanding AI to iterate and optimize for quality.