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.
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.
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,
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 |
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)
Name | Description |
request |
Optional[Union[google.cloud.documentai_v1.types.BatchProcessRequest, dict]]
The request object. Request message for batch process document method. |
name |
Required. The resource name of Processor or ProcessorVersion. Format: |
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. |
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
.
Name | Description |
request |
The request object. Request message for |
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)
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 |
Required. The parent (project and location) under which to create the processor. Format: |
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 |
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. |
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)
Name | Description |
request |
Optional[Union[google.cloud.documentai_v1.types.DeleteProcessorRequest, dict]]
The request object. Request message for the delete processor method. |
name |
Required. The processor resource name to be deleted. This corresponds to the |
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. |
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)
Name | Description |
request |
Optional[Union[google.cloud.documentai_v1.types.DeleteProcessorVersionRequest, dict]]
The request object. Request message for the delete processor version method. |
name |
Required. The processor version resource name to be deleted. This corresponds to the |
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. |
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); } |
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)
Name | Description |
request |
Optional[Union[google.cloud.documentai_v1.types.DeployProcessorVersionRequest, dict]]
The request object. Request message for the deploy processor version method. |
name |
Required. The processor version resource name to be deployed. This corresponds to the |
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. |
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)
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. |
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)
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. |
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)
Name | Description |
request |
Optional[Union[google.cloud.documentai_v1.types.FetchProcessorTypesRequest, dict]]
The request object. Request message for fetch processor types. |
parent |
Required. The project of processor type to list. The available processor types may depend on the allow-listing on projects. Format: |
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. |
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.
Name | Description |
filename |
str
The path to the service account private key json file. |
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.
Name | Description |
info |
dict
The service account private key info. |
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.
Name | Description |
filename |
str
The path to the service account private key json file. |
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.
Name | Description |
request |
The request object. Request message for |
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. |
Type | Description |
| 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.
Name | Description |
client_options |
google.api_core.client_options.ClientOptions
Custom options for the client. Only the |
Type | Description |
google.auth.exceptions.MutualTLSChannelError | If any errors happen. |
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.
Name | Description |
request |
The request object. Request message for |
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. |
Type | Description |
| 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)
Name | Description |
request |
Optional[Union[google.cloud.documentai_v1.types.GetProcessorRequest, dict]]
The request object. Request message for get processor. |
name |
Required. The processor resource name. This corresponds to the |
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. |
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)
Name | Description |
request |
Optional[Union[google.cloud.documentai_v1.types.GetProcessorTypeRequest, dict]]
The request object. Request message for get processor. |
name |
Required. The processor type resource name. This corresponds to the |
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. |
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