Class DocumentProcessorServiceClient (1.5.0)

Version 1.5.0

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DocumentProcessorServiceClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.documentai_v1.services.document_processor_service.transports.base.DocumentProcessorServiceTransport]] = 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 call Cloud DocumentAI to process documents according to the processor's definition. Processors are built using state-of-the-art Google AI such as natural language, computer vision, and translation to extract structured information from unstructured or semi-structured documents.

Inheritance

builtins.object > DocumentProcessorServiceClient

Properties

transport

Returns the transport used by the client instance.

Returns

Type	Description
DocumentProcessorServiceTransport	The transport used by the client instance.

Methods

DocumentProcessorServiceClient

DocumentProcessorServiceClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.documentai_v1.services.document_processor_service.transports.base.DocumentProcessorServiceTransport]] = 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 processor 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, DocumentProcessorServiceTransport] 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_v1.types.document_processor_service.BatchProcessRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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

from google.cloud import documentai_v1

def sample_batch_process_documents():
    # Create a client
    client = documentai_v1.DocumentProcessorServiceClient()

    # Initialize request argument(s)
    request = documentai_v1.BatchProcessRequest(
        name="name_value",
    )

    # Make the request
    operation = client.batch_process_documents(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)

Parameters

Name	Description
request	Union[google.cloud.documentai_v1.types.BatchProcessRequest, dict] The request object. Request message for batch process document method.
name	str Required. The processor resource name. 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 BatchProcessResponse Response message for batch process document method.

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
DocumentProcessorServiceClient	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
DocumentProcessorServiceClient	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
DocumentProcessorServiceClient	The constructed client.

get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: Optional[google.api_core.client_options.ClientOptions] = None,
)

Return the API endpoint and client cert source for mutual TLS.

The client cert source is determined in the following order: (1) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is not "true", the client cert source is None. (2) if client_options.client_cert_source is provided, use the provided one; if the default client cert source exists, use the default one; otherwise the client cert source is None.

The API endpoint is determined in the following order: (1) if client_options.api_endpoint if provided, use the provided one. (2) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "always", use the default mTLS endpoint; if the environment variabel is "never", use the default API endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise use the default API endpoint.

More details can be found at https://google.aip.dev/auth/4114.

Parameter

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

Exceptions

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

Returns

Type	Description
Tuple[str, Callable[[], Tuple[bytes, bytes]]]	returns the API endpoint and the client cert source to use.

human_review_config_path

human_review_config_path(project: str, location: str, processor: str)

Returns a fully-qualified human_review_config string.

parse_common_billing_account_path

parse_common_billing_account_path(path: str)

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str)

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str)

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str)

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str)

Parse a project path into its component segments.

parse_human_review_config_path

parse_human_review_config_path(path: str)

Parses a human_review_config path into its component segments.

parse_processor_path

parse_processor_path(path: str)

Parses a processor path into its component segments.

process_document

process_document(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.ProcessRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Processes a single document.

from google.cloud import documentai_v1

def sample_process_document():
    # Create a client
    client = documentai_v1.DocumentProcessorServiceClient()

    # Initialize request argument(s)
    inline_document = documentai_v1.Document()
    inline_document.uri = "uri_value"

    request = documentai_v1.ProcessRequest(
        inline_document=inline_document,
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters

Name	Description
request	Union[google.cloud.documentai_v1.types.ProcessRequest, dict] The request object. Request message for the process document method.
name	str Required. The processor resource name. 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_v1.types.ProcessResponse	Response message for the process document method.

processor_path

processor_path(project: str, location: str, processor: str)

Returns a fully-qualified processor string.

review_document

review_document(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.ReviewDocumentRequest, dict]] = None, *, human_review_config: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Send a document for Human Review. The input document should be processed by the specified processor.

from google.cloud import documentai_v1

def sample_review_document():
    # Create a client
    client = documentai_v1.DocumentProcessorServiceClient()

    # Initialize request argument(s)
    inline_document = documentai_v1.Document()
    inline_document.uri = "uri_value"

    request = documentai_v1.ReviewDocumentRequest(
        inline_document=inline_document,
        human_review_config="human_review_config_value",
    )

    # Make the request
    operation = client.review_document(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)

Parameters

Name	Description
request	Union[google.cloud.documentai_v1.types.ReviewDocumentRequest, dict] The request object. Request message for review document method.
human_review_config	str Required. The resource name of the HumanReviewConfig that the document will be reviewed with. This corresponds to the human_review_config 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 ReviewDocumentResponse Response message for review document method.