Class DocumentProcessorServiceAsyncClient (1.3.0)

DocumentProcessorServiceAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.documentai_v1beta3.services.document_processor_service.transports.base.DocumentProcessorServiceTransport] = 'grpc_asyncio', 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.

Properties

transport

Returns the transport used by the client instance.

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

Methods

DocumentProcessorServiceAsyncClient

DocumentProcessorServiceAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.documentai_v1beta3.services.document_processor_service.transports.base.DocumentProcessorServiceTransport] = 'grpc_asyncio', 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`	`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_process_documents

batch_process_documents(request: Optional[Union[google.cloud.documentai_v1beta3.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_v1beta3

def sample_batch_process_documents():
    # Create a client
    client = documentai_v1beta3.DocumentProcessorServiceClient()

    # Initialize request argument(s)
    request = documentai_v1beta3.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_v1beta3.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_async.AsyncOperation`	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.

create_processor

create_processor(request: Optional[Union[google.cloud.documentai_v1beta3.types.document_processor_service.CreateProcessorRequest, dict]] = None, *, parent: Optional[str] = None, processor: Optional[google.cloud.documentai_v1beta3.types.processor.Processor] = 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]] = ())

Creates a processor from the type processor that the user chose. The processor will be at "ENABLED" state by default after its creation.

from google.cloud import documentai_v1beta3

def sample_create_processor():
    # Create a client
    client = documentai_v1beta3.DocumentProcessorServiceClient()

    # Initialize request argument(s)
    request = documentai_v1beta3.CreateProcessorRequest(
        parent="parent_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.documentai_v1beta3.types.CreateProcessorRequest, dict]` The request object. Request message for create a processor. Notice this request is sent to a regionalized backend service, and if the processor type is not available on that region, the creation will fail.
`parent`	`str` Required. The parent (project and location) under which to create the processor. Format: projects/{project}/locations/{location} This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`processor`	`Processor` Required. The processor to be created, requires [processor_type] and [display_name] to be set. Also, the processor is under CMEK if CMEK fields are set. This corresponds to the `processor` 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.Processor`	The first-class citizen for DocumentAI. Each processor defines how to extract structural information from a document.

delete_processor

delete_processor(request: Optional[Union[google.cloud.documentai_v1beta3.types.document_processor_service.DeleteProcessorRequest, 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]] = ())

Deletes the processor, unloads all deployed model artifacts if it was enabled and then deletes all artifacts associated with this processor.

from google.cloud import documentai_v1beta3

def sample_delete_processor():
    # Create a client
    client = documentai_v1beta3.DocumentProcessorServiceClient()

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

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.documentai_v1beta3.types.DeleteProcessorRequest, dict]` The request object. Request message for the delete processor method.
`name`	`str` Required. The processor resource name to be deleted. 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_async.AsyncOperation 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); } The JSON representation for Empty is empty JSON object {}.

disable_processor

disable_processor(request: Optional[Union[google.cloud.documentai_v1beta3.types.document_processor_service.DisableProcessorRequest, dict]] = 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]] = ())

Disables a processor

from google.cloud import documentai_v1beta3

def sample_disable_processor():
    # Create a client
    client = documentai_v1beta3.DocumentProcessorServiceClient()

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

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.documentai_v1beta3.types.DisableProcessorRequest, dict]` The request object. Request message for the disable processor 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
`google.api_core.operation_async.AsyncOperation`	An object representing a long-running operation. The result type for the operation will be DisableProcessorResponse Response message for the disable processor method.

enable_processor

enable_processor(request: Optional[Union[google.cloud.documentai_v1beta3.types.document_processor_service.EnableProcessorRequest, dict]] = 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]] = ())

Enables a processor

from google.cloud import documentai_v1beta3

def sample_enable_processor():
    # Create a client
    client = documentai_v1beta3.DocumentProcessorServiceClient()

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

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.documentai_v1beta3.types.EnableProcessorRequest, dict]` The request object. Request message for the enable processor 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
`google.api_core.operation_async.AsyncOperation`	An object representing a long-running operation. The result type for the operation will be EnableProcessorResponse Response message for the enable processor method.

fetch_processor_types

fetch_processor_types(request: Optional[Union[google.cloud.documentai_v1beta3.types.document_processor_service.FetchProcessorTypesRequest, dict]] = None, *, parent: 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]] = ())

Fetches processor types.

from google.cloud import documentai_v1beta3

def sample_fetch_processor_types():
    # Create a client
    client = documentai_v1beta3.DocumentProcessorServiceClient()

    # Initialize request argument(s)
    request = documentai_v1beta3.FetchProcessorTypesRequest(
        parent="parent_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.documentai_v1beta3.types.FetchProcessorTypesRequest, dict]` The request object. Request message for fetch processor types.
`parent`	`str` Required. The project of processor type to list. Format: projects/{project}/locations/{location} 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.documentai_v1beta3.types.FetchProcessorTypesResponse`	Response message for fetch processor types.

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
`DocumentProcessorServiceAsyncClient`	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
`DocumentProcessorServiceAsyncClient`	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
`DocumentProcessorServiceAsyncClient`	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.

get_transport_class

get_transport_class()

Returns an appropriate transport class.

human_review_config_path

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

Returns a fully-qualified human_review_config string.

list_processors

list_processors(request: Optional[Union[google.cloud.documentai_v1beta3.types.document_processor_service.ListProcessorsRequest, dict]] = None, *, parent: 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]] = ())

Lists all processors which belong to this project.

from google.cloud import documentai_v1beta3

def sample_list_processors():
    # Create a client
    client = documentai_v1beta3.DocumentProcessorServiceClient()

    # Initialize request argument(s)
    request = documentai_v1beta3.ListProcessorsRequest(
        parent="parent_value",
    )

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

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

Parameters
Name	Description
`request`	`Union[google.cloud.documentai_v1beta3.types.ListProcessorsRequest, dict]` The request object. Request message for list all processors belongs to a project.
`parent`	`str` Required. The parent (project and location) which owns this collection of Processors. Format: projects/{project}/locations/{location} 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.documentai_v1beta3.services.document_processor_service.pagers.ListProcessorsAsyncPager`	Response message for list processors. Iterating over this object will yield results and resolve additional pages automatically.

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.

parse_processor_type_path

parse_processor_type_path(path: str)

Parses a processor_type path into its component segments.

process_document

process_document(request: Optional[Union[google.cloud.documentai_v1beta3.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_v1beta3

def sample_process_document():
    # Create a client
    client = documentai_v1beta3.DocumentProcessorServiceClient()

    # Initialize request argument(s)
    inline_document = documentai_v1beta3.Document()
    inline_document.uri = "uri_value"

    request = documentai_v1beta3.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_v1beta3.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_v1beta3.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.

processor_type_path

processor_type_path(project: str, location: str, processor_type: str)

Returns a fully-qualified processor_type string.

review_document

review_document(request: Optional[Union[google.cloud.documentai_v1beta3.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_v1beta3

def sample_review_document():
    # Create a client
    client = documentai_v1beta3.DocumentProcessorServiceClient()

    # Initialize request argument(s)
    inline_document = documentai_v1beta3.Document()
    inline_document.uri = "uri_value"

    request = documentai_v1beta3.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_v1beta3.types.ReviewDocumentRequest, dict]` The request object. Request message for review document method. Next Id: 6.
`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_async.AsyncOperation`	An object representing a long-running operation. The result type for the operation will be ReviewDocumentResponse Response message for review document method.