Class DocumentProcessorServiceAsyncClient (2.10.0)

DocumentProcessorServiceAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.documentai_v1.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_v1.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_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: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, 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.

# 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_v1

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

    # 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 = (await operation).result()

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`Optional[Union[google.cloud.documentai_v1.types.BatchProcessRequest, dict]]` The request object. Request message for batch process document method.
`name`	`str` Required. The resource name of Processor or ProcessorVersion. Format: `projects/{project}/locations/{location}/processors/{processor}`, or `projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}` 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.

cancel_operation

cancel_operation(request: Optional[google.longrunning.operations_pb2.CancelOperationRequest] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())

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)

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_v1.types.document_processor_service.CreateProcessorRequest, dict]] = None, *, parent: Optional[str] = None, processor: Optional[google.cloud.documentai_v1.types.processor.Processor] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, 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.

# 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_v1

async def sample_create_processor():
    # Create a client
    client = documentai_v1.DocumentProcessorServiceAsyncClient()

    # Initialize request argument(s)
    request = documentai_v1.CreateProcessorRequest(
        parent="parent_value",
    )

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

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`Optional[Union[google.cloud.documentai_v1.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_v1.types.Processor`	The first-class citizen for Document AI. Each processor defines how to extract structural information from a document.

delete_processor

delete_processor(request: Optional[Union[google.cloud.documentai_v1.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: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, 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.

# 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_v1

async def sample_delete_processor():
    # Create a client
    client = documentai_v1.DocumentProcessorServiceAsyncClient()

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

    # Make the request
    operation = client.delete_processor(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_v1.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); }

delete_processor_version

delete_processor_version(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.DeleteProcessorVersionRequest, 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: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())

Deletes the processor version, all artifacts under the processor version will be deleted.

# 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_v1

async def sample_delete_processor_version():
    # Create a client
    client = documentai_v1.DocumentProcessorServiceAsyncClient()

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

    # Make the request
    operation = client.delete_processor_version(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_v1.types.DeleteProcessorVersionRequest, dict]]` The request object. Request message for the delete processor version method.
`name`	`str` Required. The processor version 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

deploy_processor_version

deploy_processor_version(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.DeployProcessorVersionRequest, 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: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())

Deploys the processor version.

# 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_v1

async def sample_deploy_processor_version():
    # Create a client
    client = documentai_v1.DocumentProcessorServiceAsyncClient()

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

    # Make the request
    operation = client.deploy_processor_version(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_v1.types.DeployProcessorVersionRequest, dict]]` The request object. Request message for the deploy processor version method.
`name`	`str` Required. The processor version resource name to be deployed. 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 DeployProcessorVersionResponse Response message for the deploy processor version method.

disable_processor

disable_processor(request: Optional[Union[google.cloud.documentai_v1.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: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())

Disables a processor

# 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_v1

async def sample_disable_processor():
    # Create a client
    client = documentai_v1.DocumentProcessorServiceAsyncClient()

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

    # Make the request
    operation = client.disable_processor(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_v1.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. Intentionally empty proto for adding fields in future.

enable_processor

enable_processor(request: Optional[Union[google.cloud.documentai_v1.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: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())

Enables a processor

# 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_v1

async def sample_enable_processor():
    # Create a client
    client = documentai_v1.DocumentProcessorServiceAsyncClient()

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

    # Make the request
    operation = client.enable_processor(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_v1.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. Intentionally empty proto for adding fields in future.

fetch_processor_types

fetch_processor_types(request: Optional[Union[google.cloud.documentai_v1.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: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())

Fetches processor types. Note that we do not use ListProcessorTypes here because it is not paginated.

# 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_v1

async def sample_fetch_processor_types():
    # Create a client
    client = documentai_v1.DocumentProcessorServiceAsyncClient()

    # Initialize request argument(s)
    request = documentai_v1.FetchProcessorTypesRequest(
        parent="parent_value",
    )

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

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`Optional[Union[google.cloud.documentai_v1.types.FetchProcessorTypesRequest, dict]]` The request object. Request message for fetch processor types.
`parent`	`str` Required. The project of processor type to list. The available processor types may depend on the allow-listing on projects. 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_v1.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_location

get_location(request: Optional[google.cloud.location.locations_pb2.GetLocationRequest] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())

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: 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: Optional[google.longrunning.operations_pb2.GetOperationRequest] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())

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_processor

get_processor(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.GetProcessorRequest, 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: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())

Gets a processor detail.

# 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_v1

async def sample_get_processor():
    # Create a client
    client = documentai_v1.DocumentProcessorServiceAsyncClient()

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

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

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`Optional[Union[google.cloud.documentai_v1.types.GetProcessorRequest, dict]]` The request object. Request message for get processor.
`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.Processor`	The first-class citizen for Document AI. Each processor defines how to extract structural information from a document.

get_processor_type

get_processor_type(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.GetProcessorTypeRequest, 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: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())

Gets a processor type detail.

# 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_v1

async def sample_get_processor_type():
    # Create a client
    client = documentai_v1.DocumentProcessorServiceAsyncClient()

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

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

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`Optional[Union[google.cloud.documentai_v1.types.GetProcessorTypeRequest, dict]]` The request object. Request message for get processor.
`name`	`str` Required. The processor type 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.ProcessorType`	A processor type is responsible for performing a certain document understanding task on a certain type of document.

get_processor_version

get_processor_version(requ