DocumentProcessorService¶

async cancel_operation(request: Optional[google.longrunning.operations_pb2.CancelOperationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]¶

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

request (CancelOperationRequest) – The request object. Request message for CancelOperation method.
retry (google.api_core.retry_async.AsyncRetry) – 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

None

static common_billing_account_path(billing_account: str) → str¶: Returns a fully-qualified billing_account string.

static common_folder_path(folder: str) → str¶: Returns a fully-qualified folder string.

static common_location_path(project: str, location: str) → str¶: Returns a fully-qualified location string.

static common_organization_path(organization: str) → str¶: Returns a fully-qualified organization string.

static common_project_path(project: str) → str¶: Returns a fully-qualified project string.

async 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: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.documentai_v1.types.processor.Processor[source]¶

Creates a processor from the [ProcessorType][google.cloud.documentai.v1.ProcessorType] provided. The processor will be at ENABLED state by default after its creation. Note that this method requires the documentai.processors.create permission on the project, which is highly privileged. A user or service account with this permission can create new processors that can interact with any gcs bucket in your project.

# 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

request (Optional[Union[google.cloud.documentai_v1.types.CreateProcessorRequest, dict]]) – The request object. Request message for the [CreateProcessor][google.cloud.documentai.v1.DocumentProcessorService.CreateProcessor] method. Notice this request is sent to a regionalized backend service. If the [ProcessorType][google.cloud.documentai.v1.ProcessorType] isn’t available in that region, the creation fails.
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 (google.cloud.documentai_v1.types.Processor) –
Required. The processor to be created, requires [Processor.type][google.cloud.documentai.v1.Processor.type] and [Processor.display_name][google.cloud.documentai.v1.Processor.display_name] to be set. Also, the [Processor.kms_key_name][google.cloud.documentai.v1.Processor.kms_key_name] field must be set if the processor is under CMEK.

This corresponds to the processor field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry_async.AsyncRetry) – 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

The first-class citizen for Document AI. Each processor defines how to extract structural information from a document.

Return type

async delete_processor(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.DeleteProcessorRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

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

request (Optional[Union[google.cloud.documentai_v1.types.DeleteProcessorRequest, dict]]) – The request object. Request message for the [DeleteProcessor][google.cloud.documentai.v1.DocumentProcessorService.DeleteProcessor] 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_async.AsyncRetry) – 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

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);

}

Return type

async delete_processor_version(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.DeleteProcessorVersionRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

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

request (Optional[Union[google.cloud.documentai_v1.types.DeleteProcessorVersionRequest, dict]]) – The request object. Request message for the [DeleteProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.DeleteProcessorVersion] 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_async.AsyncRetry) – 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

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);

}

Return type

async deploy_processor_version(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.DeployProcessorVersionRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

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

request (Optional[Union[google.cloud.documentai_v1.types.DeployProcessorVersionRequest, dict]]) – The request object. Request message for the [DeployProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.DeployProcessorVersion] 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_async.AsyncRetry) – 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

An object representing a long-running operation.

The result type for the operation will be google.cloud.documentai_v1.types.DeployProcessorVersionResponse Response message for the: [DeployProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.DeployProcessorVersion] method.

Return type

async disable_processor(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.DisableProcessorRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

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

request (Optional[Union[google.cloud.documentai_v1.types.DisableProcessorRequest, dict]]) – The request object. Request message for the [DisableProcessor][google.cloud.documentai.v1.DocumentProcessorService.DisableProcessor] method.
retry (google.api_core.retry_async.AsyncRetry) – 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

An object representing a long-running operation.

The result type for the operation will be google.cloud.documentai_v1.types.DisableProcessorResponse Response message for the: [DisableProcessor][google.cloud.documentai.v1.DocumentProcessorService.DisableProcessor] method. Intentionally empty proto for adding fields in future.

Return type

async enable_processor(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.EnableProcessorRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

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

request (Optional[Union[google.cloud.documentai_v1.types.EnableProcessorRequest, dict]]) – The request object. Request message for the [EnableProcessor][google.cloud.documentai.v1.DocumentProcessorService.EnableProcessor] method.
retry (google.api_core.retry_async.AsyncRetry) – 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

An object representing a long-running operation.

The result type for the operation will be google.cloud.documentai_v1.types.EnableProcessorResponse Response message for the: [EnableProcessor][google.cloud.documentai.v1.DocumentProcessorService.EnableProcessor] method. Intentionally empty proto for adding fields in future.

Return type

async evaluate_processor_version(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.EvaluateProcessorVersionRequest, dict]] = None, *, processor_version: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

Evaluates a ProcessorVersion against annotated documents, producing an Evaluation.

# 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_evaluate_processor_version():
    # Create a client
    client = documentai_v1.DocumentProcessorServiceAsyncClient()

    # Initialize request argument(s)
    request = documentai_v1.EvaluateProcessorVersionRequest(
        processor_version="processor_version_value",
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.documentai_v1.types.EvaluateProcessorVersionRequest, dict]]) – The request object. Evaluates the given [ProcessorVersion][google.cloud.documentai.v1.ProcessorVersion] against the supplied documents.
processor_version (str) –
Required. The resource name of the [ProcessorVersion][google.cloud.documentai.v1.ProcessorVersion] to evaluate. projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}

This corresponds to the processor_version field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry_async.AsyncRetry) – 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

An object representing a long-running operation.

The result type for the operation will be google.cloud.documentai_v1.types.EvaluateProcessorVersionResponse Response of the: [EvaluateProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.EvaluateProcessorVersion] method.

Return type

google.cloud.documentai_v1.types.FetchProcessorTypesResponse

static evaluation_path(project: str, location: str, processor: str, processor_version: str, evaluation: str) → str¶: Returns a fully-qualified evaluation string.

async fetch_processor_types(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.FetchProcessorTypesRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.documentai_v1.types.document_processor_service.FetchProcessorTypesResponse[source]¶

Fetches processor types. Note that we don’t use [ListProcessorTypes][google.cloud.documentai.v1.DocumentProcessorService.ListProcessorTypes] here, because it isn’t 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

request (Optional[Union[google.cloud.documentai_v1.types.FetchProcessorTypesRequest, dict]]) – The request object. Request message for the [FetchProcessorTypes][google.cloud.documentai.v1.DocumentProcessorService.FetchProcessorTypes] method. Some processor types may require the project be added to an allowlist.
parent (str) –
Required. The location of processor types 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_async.AsyncRetry) – 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

Response message for the: [FetchProcessorTypes][google.cloud.documentai.v1.DocumentProcessorService.FetchProcessorTypes] method.

Return type

classmethod from_service_account_file(filename: str, *args, **kwargs)[source]¶

Creates an instance of this client using the provided credentials: file.

Parameters

filename (str) – The path to the service account private key json file.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

DocumentProcessorServiceAsyncClient

classmethod from_service_account_info(info: dict, *args, **kwargs)[source]¶

Creates an instance of this client using the provided credentials: info.

Parameters

info (dict) – The service account private key info.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

DocumentProcessorServiceAsyncClient

classmethod from_service_account_json(filename: str, *args, **kwargs)¶

Creates an instance of this client using the provided credentials: file.

Parameters

filename (str) – The path to the service account private key json file.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

DocumentProcessorServiceAsyncClient

async get_evaluation(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.GetEvaluationRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.documentai_v1.types.evaluation.Evaluation[source]¶

Retrieves a specific evaluation.

# 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_evaluation():
    # Create a client
    client = documentai_v1.DocumentProcessorServiceAsyncClient()

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

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

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.documentai_v1.types.GetEvaluationRequest, dict]]) – The request object. Retrieves a specific Evaluation.
name (str) –
Required. The resource name of the [Evaluation][google.cloud.documentai.v1.Evaluation] to get. projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}/evaluations/{evaluation}

This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry_async.AsyncRetry) – 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

An evaluation of a ProcessorVersion’s performance.

Return type

google.cloud.documentai_v1.types.Evaluation

async get_location(request: Optional[google.cloud.location.locations_pb2.GetLocationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.location.locations_pb2.Location[source]¶

Gets information about a location.

Parameters

request (GetLocationRequest) – The request object. Request message for GetLocation method.
retry (google.api_core.retry_async.AsyncRetry) – 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

Location object.

Return type

Location

classmethod get_mtls_endpoint_and_cert_source(client_options: Optional[google.api_core.client_options.ClientOptions] = None)[source]¶

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.

Parameters

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.

Returns

returns the API endpoint and the: client cert source to use.

Return type

Tuple[str, Callable[[], Tuple[bytes, bytes]]]

Raises

google.auth.exceptions.MutualTLSChannelError – If any errors happen.

async get_operation(request: Optional[google.longrunning.operations_pb2.GetOperationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.longrunning.operations_pb2.Operation[source]¶

Gets the latest state of a long-running operation.

Parameters

request (GetOperationRequest) – The request object. Request message for GetOperation method.
retry (google.api_core.retry_async.AsyncRetry) – 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

An Operation object.

Return type

Operation

async get_processor(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.GetProcessorRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.documentai_v1.types.processor.Processor[source]¶

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

request (Optional[Union[google.cloud.documentai_v1.types.GetProcessorRequest, dict]]) – The request object. Request message for the [GetProcessor][google.cloud.documentai.v1.DocumentProcessorService.GetProcessor] 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_async.AsyncRetry) – 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

The first-class citizen for Document AI. Each processor defines how to extract structural information from a document.

Return type

google.cloud.documentai_v1.types.ProcessorType

async get_processor_type(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.GetProcessorTypeRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.documentai_v1.types.processor_type.ProcessorType[source]¶

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

request (Optional[Union[google.cloud.documentai_v1.types.GetProcessorTypeRequest, dict]]) – The request object. Request message for the [GetProcessorType][google.cloud.documentai.v1.DocumentProcessorService.GetProcessorType] method.
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_async.AsyncRetry) – 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

A processor type is responsible for performing a certain document understanding task on a certain type of document.

Return type

async get_processor_version(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.GetProcessorVersionRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.documentai_v1.types.processor.ProcessorVersion[source]¶

Gets a processor version 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_version():
    # Create a client
    client = documentai_v1.DocumentProcessorServiceAsyncClient()

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

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

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.documentai_v1.types.GetProcessorVersionRequest, dict]]) – The request object. Request message for the [GetProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.GetProcessorVersion] 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_async.AsyncRetry) – 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

A processor version is an implementation of a processor. Each processor can have multiple versions, pretrained by Google internally or uptrained by the customer. A processor can only have one default version at a time. Its document-processing behavior is defined by that version.

Return type

google.cloud.documentai_v1.types.ProcessorVersion

classmethod get_transport_class(label: Optional[str] = None) → Type[google.cloud.documentai_v1.services.document_processor_service.transports.base.DocumentProcessorServiceTransport]¶

Returns an appropriate transport class.

Parameters: label – The name of the desired transport. If none is provided, then the first transport in the registry is used.
Returns: The transport class to use.

static human_review_config_path(project: str, location: str, processor: str) → str¶: Returns a fully-qualified human_review_config string.

async list_evaluations(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.ListEvaluationsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.documentai_v1.services.document_processor_service.pagers.ListEvaluationsAsyncPager[source]¶

Retrieves a set of evaluations for a given 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_list_evaluations():
    # Create a client
    client = documentai_v1.DocumentProcessorServiceAsyncClient()

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

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

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

Parameters

request (Optional[Union[google.cloud.documentai_v1.types.ListEvaluationsRequest, dict]]) – The request object. Retrieves a list of evaluations for a given [ProcessorVersion][google.cloud.documentai.v1.ProcessorVersion].
parent (str) –
Required. The resource name of the [ProcessorVersion][google.cloud.documentai.v1.ProcessorVersion] to list evaluations for. projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}

This corresponds to the parent field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry_async.AsyncRetry) – 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

The response from ListEvaluations.

Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.documentai_v1.services.document_processor_service.pagers.ListEvaluationsAsyncPager

async list_locations(request: Optional[google.cloud.location.locations_pb2.ListLocationsRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.location.locations_pb2.ListLocationsResponse[source]¶

Lists information about the supported locations for this service.

Parameters

request (ListLocationsRequest) – The request object. Request message for ListLocations method.
retry (google.api_core.retry_async.AsyncRetry) – 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

Response message for ListLocations method.

Return type

ListLocationsResponse

async list_operations(request: Optional[google.longrunning.operations_pb2.ListOperationsRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.longrunning.operations_pb2.ListOperationsResponse[source]¶

Lists operations that match the specified filter in the request.

Parameters

request (ListOperationsRequest) – The request object. Request message for ListOperations method.
retry (google.api_core.retry_async.AsyncRetry) – 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

Response message for ListOperations method.

Return type

ListOperationsResponse

async list_processor_types(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.ListProcessorTypesRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.documentai_v1.services.document_processor_service.pagers.ListProcessorTypesAsyncPager[source]¶

Lists the processor types that exist.

# 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_list_processor_types():
    # Create a client
    client = documentai_v1.DocumentProcessorServiceAsyncClient()

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

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

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

Parameters

request (Optional[Union[google.cloud.documentai_v1.types.ListProcessorTypesRequest, dict]]) – The request object. Request message for the [ListProcessorTypes][google.cloud.documentai.v1.DocumentProcessorService.ListProcessorTypes] method. Some processor types may require the project be added to an allowlist.
parent (str) –
Required. The location of processor types 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_async.AsyncRetry) – 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

Response message for the: [ListProcessorTypes][google.cloud.documentai.v1.DocumentProcessorService.ListProcessorTypes] method.

Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.documentai_v1.services.document_processor_service.pagers.ListProcessorTypesAsyncPager

async list_processor_versions(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.ListProcessorVersionsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.documentai_v1.services.document_processor_service.pagers.ListProcessorVersionsAsyncPager[source]¶

Lists all versions of 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_list_processor_versions():
    # Create a client
    client = documentai_v1.DocumentProcessorServiceAsyncClient()

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

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

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

Parameters

request (Optional[Union[google.cloud.documentai_v1.types.ListProcessorVersionsRequest, dict]]) – The request object. Request message for list all processor versions belongs to a processor.
parent (str) –
Required. The parent (project, location and processor) to list all versions. Format: projects/{project}/locations/{location}/processors/{processor}

This corresponds to the parent field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry_async.AsyncRetry) – 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

Response message for the: [ListProcessorVersions][google.cloud.documentai.v1.DocumentProcessorService.ListProcessorVersions] method.

Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.documentai_v1.services.document_processor_service.pagers.ListProcessorVersionsAsyncPager

async list_processors(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.ListProcessorsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.documentai_v1.services.document_processor_service.pagers.ListProcessorsAsyncPager[source]¶

Lists all processors which belong to this project.

# 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_list_processors():
    # Create a client
    client = documentai_v1.DocumentProcessorServiceAsyncClient()

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

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

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

Parameters

request (Optional[Union[google.cloud.documentai_v1.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_async.AsyncRetry) – 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

Response message for the: [ListProcessors][google.cloud.documentai.v1.DocumentProcessorService.ListProcessors] method.

Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.documentai_v1.services.document_processor_service.pagers.ListProcessorsAsyncPager

static parse_common_billing_account_path(path: str) → Dict[str, str]¶: Parse a billing_account path into its component segments.

static parse_common_folder_path(path: str) → Dict[str, str]¶: Parse a folder path into its component segments.

static parse_common_location_path(path: str) → Dict[str, str]¶: Parse a location path into its component segments.

static parse_common_organization_path(path: str) → Dict[str, str]¶: Parse a organization path into its component segments.

static parse_common_project_path(path: str) → Dict[str, str]¶: Parse a project path into its component segments.

static parse_evaluation_path(path: str) → Dict[str, str]¶: Parses a evaluation path into its component segments.

static parse_human_review_config_path(path: str) → Dict[str, str]¶: Parses a human_review_config path into its component segments.

static parse_processor_path(path: str) → Dict[str, str]¶: Parses a processor path into its component segments.

static parse_processor_type_path(path: str) → Dict[str, str]¶: Parses a processor_type path into its component segments.

static parse_processor_version_path(path: str) → Dict[str, str]¶: Parses a processor_version path into its component segments.

async process_document(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.ProcessRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.documentai_v1.types.document_processor_service.ProcessResponse[source]¶

Processes a single document.

# 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_process_document():
    # Create a client
    client = documentai_v1.DocumentProcessorServiceAsyncClient()

    # 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 = await client.process_document(request=request)

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.documentai_v1.types.ProcessRequest, dict]]) – The request object. Request message for the [ProcessDocument][google.cloud.documentai.v1.DocumentProcessorService.ProcessDocument] method.
name (str) –
Required. The resource name of the [Processor][google.cloud.documentai.v1.Processor] or [ProcessorVersion][google.cloud.documentai.v1.ProcessorVersion] to use for processing. If a [Processor][google.cloud.documentai.v1.Processor] is specified, the server will use its [default version][google.cloud.documentai.v1.Processor.default_processor_version]. 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_async.AsyncRetry) – 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

Response message for the: [ProcessDocument][google.cloud.documentai.v1.DocumentProcessorService.ProcessDocument] method.

Return type

google.cloud.documentai_v1.types.ProcessResponse

static processor_path(project: str, location: str, processor: str) → str¶: Returns a fully-qualified processor string.

static processor_type_path(project: str, location: str, processor_type: str) → str¶: Returns a fully-qualified processor_type string.

static processor_version_path(project: str, location: str, processor: str, processor_version: str) → str¶: Returns a fully-qualified processor_version string.

async review_document(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.ReviewDocumentRequest, dict]] = None, *, human_review_config: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

Send a document for Human Review. The input document should be processed by the specified 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_review_document():
    # Create a client
    client = documentai_v1.DocumentProcessorServiceAsyncClient()

    # 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 = (await operation).result()

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.documentai_v1.types.ReviewDocumentRequest, dict]]) – The request object. Request message for the [ReviewDocument][google.cloud.documentai.v1.DocumentProcessorService.ReviewDocument] method.
human_review_config (str) –
Required. The resource name of the [HumanReviewConfig][google.cloud.documentai.v1.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_async.AsyncRetry) – 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

An object representing a long-running operation.

The result type for the operation will be google.cloud.documentai_v1.types.ReviewDocumentResponse Response message for the: [ReviewDocument][google.cloud.documentai.v1.DocumentProcessorService.ReviewDocument] method.

Return type

async set_default_processor_version(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.SetDefaultProcessorVersionRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

Set the default (active) version of a [Processor][google.cloud.documentai.v1.Processor] that will be used in [ProcessDocument][google.cloud.documentai.v1.DocumentProcessorService.ProcessDocument] and [BatchProcessDocuments][google.cloud.documentai.v1.DocumentProcessorService.BatchProcessDocuments].

# 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_set_default_processor_version():
    # Create a client
    client = documentai_v1.DocumentProcessorServiceAsyncClient()

    # Initialize request argument(s)
    request = documentai_v1.SetDefaultProcessorVersionRequest(
        processor="processor_value",
        default_processor_version="default_processor_version_value",
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.documentai_v1.types.SetDefaultProcessorVersionRequest, dict]]) – The request object. Request message for the [SetDefaultProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.SetDefaultProcessorVersion] method.
retry (google.api_core.retry_async.AsyncRetry) – 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

An object representing a long-running operation.

The result type for the operation will be google.cloud.documentai_v1.types.SetDefaultProcessorVersionResponse Response message for the: [SetDefaultProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.SetDefaultProcessorVersion] method.

Return type

async train_processor_version(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.TrainProcessorVersionRequest, dict]] = None, *, parent: Optional[str] = None, processor_version: Optional[google.cloud.documentai_v1.types.processor.ProcessorVersion] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

Trains a new processor version. Operation metadata is returned as [TrainProcessorVersionMetadata][google.cloud.documentai.v1.TrainProcessorVersionMetadata].

# 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_train_processor_version():
    # Create a client
    client = documentai_v1.DocumentProcessorServiceAsyncClient()

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

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.documentai_v1.types.TrainProcessorVersionRequest, dict]]) – The request object. Request message for the [TrainProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.TrainProcessorVersion] method.
parent (str) –
Required. The parent (project, location and processor) to create the new version for. Format: projects/{project}/locations/{location}/processors/{processor}.

This corresponds to the parent field on the request instance; if request is provided, this should not be set.
processor_version (google.cloud.documentai_v1.types.ProcessorVersion) –
Required. The processor version to be created.

This corresponds to the processor_version field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry_async.AsyncRetry) – 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

An object representing a long-running operation.

The result type for the operation will be google.cloud.documentai_v1.types.TrainProcessorVersionResponse The response for: [TrainProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.TrainProcessorVersion].

Return type

property transport: google.cloud.documentai_v1.services.document_processor_service.transports.base.DocumentProcessorServiceTransport¶

Returns the transport used by the client instance.

Returns: The transport used by the client instance.
Return type: DocumentProcessorServiceTransport

async undeploy_processor_version(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.UndeployProcessorVersionRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

Undeploys 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_undeploy_processor_version():
    # Create a client
    client = documentai_v1.DocumentProcessorServiceAsyncClient()

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

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.documentai_v1.types.UndeployProcessorVersionRequest, dict]]) – The request object. Request message for the [UndeployProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.UndeployProcessorVersion] method.
name (str) –
Required. The processor version resource name to be undeployed.

This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry_async.AsyncRetry) – 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

An object representing a long-running operation.

The result type for the operation will be google.cloud.documentai_v1.types.UndeployProcessorVersionResponse Response message for the: [UndeployProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.UndeployProcessorVersion] method.

Return type

property universe_domain: str¶

Return the universe domain used by the client instance.

Returns

The universe domain used: by the client instance.

Return type

str

class google.cloud.documentai_v1.services.document_processor_service.DocumentProcessorServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.documentai_v1.services.document_processor_service.transports.base.DocumentProcessorServiceTransport, typing.Callable[[...], google.cloud.documentai_v1.services.document_processor_service.transports.base.DocumentProcessorServiceTransport]]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)[source]¶

Service to call Document AI 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.

Instantiates the document processor service client.

Parameters

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 (Optional[Union[str,DocumentProcessorServiceTransport,Callable[..., DocumentProcessorServiceTransport]]]) – The transport to use, or a Callable that constructs and returns a new transport. If a Callable is given, it will be called with the same set of initialization arguments as used in the DocumentProcessorServiceTransport constructor. If set to None, a transport is chosen automatically.
client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]) –
Custom options for the client.

1. The api_endpoint property can be used to override the default endpoint provided by the client when transport is not explicitly provided. Only if this property is not set and transport was not explicitly provided, the endpoint is determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment variable, which have one of the following values: “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).

2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is “true”, then the client_cert_source property can be used to provide a client certificate for mTLS 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.

3. The universe_domain property can be used to override the default “googleapis.com” universe. Note that the api_endpoint property still takes precedence; and universe_domain is currently not supported for mTLS.
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.

Raises

google.auth.exceptions.MutualTLSChannelError – If mutual TLS transport creation failed for any reason.

__exit__(type, value, traceback)[source]¶: 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!

property api_endpoint¶

Return the API endpoint used by the client instance.

Returns: The API endpoint used by the client instance.
Return type: str

batch_process_documents(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.BatchProcessRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

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

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

request (Union[google.cloud.documentai_v1.types.BatchProcessRequest, dict]) – The request object. Request message for [BatchProcessDocuments][google.cloud.documentai.v1.DocumentProcessorService.BatchProcessDocuments].
name (str) –
Required. The resource name of [Processor][google.cloud.documentai.v1.Processor] or [ProcessorVersion][google.cloud.documentai.v1.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

An object representing a long-running operation.

The result type for the operation will be google.cloud.documentai_v1.types.BatchProcessResponse Response message for: [BatchProcessDocuments][google.cloud.documentai.v1.DocumentProcessorService.BatchProcessDocuments].

Return type

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

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

request (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.

Returns

None

static common_billing_account_path(billing_account: str) → str[source]¶: Returns a fully-qualified billing_account string.

static common_folder_path(folder: str) → str[source]¶: Returns a fully-qualified folder string.

static common_location_path(project: str, location: str) → str[source]¶: Returns a fully-qualified location string.

static common_organization_path(organization: str) → str[source]¶: Returns a fully-qualified organization string.

static common_project_path(project: str) → str[source]¶: Returns a fully-qualified project string.

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: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.documentai_v1.types.processor.Processor[source]¶

Creates a processor from the [ProcessorType][google.cloud.documentai.v1.ProcessorType] provided. The processor will be at ENABLED state by default after its creation. Note that this method requires the documentai.processors.create permission on the project, which is highly privileged. A user or service account with this permission can create new processors that can interact with any gcs bucket in your project.

# 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

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

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

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

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.documentai_v1.types.CreateProcessorRequest, dict]) – The request object. Request message for the [CreateProcessor][google.cloud.documentai.v1.DocumentProcessorService.CreateProcessor] method. Notice this request is sent to a regionalized backend service. If the [ProcessorType][google.cloud.documentai.v1.ProcessorType] isn’t available in that region, the creation fails.
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 (google.cloud.documentai_v1.types.Processor) –
Required. The processor to be created, requires [Processor.type][google.cloud.documentai.v1.Processor.type] and [Processor.display_name][google.cloud.documentai.v1.Processor.display_name] to be set. Also, the [Processor.kms_key_name][google.cloud.documentai.v1.Processor.kms_key_name] field must be set if the processor is under CMEK.

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

The first-class citizen for Document AI. Each processor defines how to extract structural information from a document.

Return type

delete_processor(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.DeleteProcessorRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

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

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

    # 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 = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.documentai_v1.types.DeleteProcessorRequest, dict]) – The request object. Request message for the [DeleteProcessor][google.cloud.documentai.v1.DocumentProcessorService.DeleteProcessor] 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

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);

}

Return type

delete_processor_version(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.DeleteProcessorVersionRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

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

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

    # 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 = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.documentai_v1.types.DeleteProcessorVersionRequest, dict]) – The request object. Request message for the [DeleteProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.DeleteProcessorVersion] 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

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);

}

Return type

deploy_processor_version(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.DeployProcessorVersionRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

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

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

    # 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 = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.documentai_v1.types.DeployProcessorVersionRequest, dict]) – The request object. Request message for the [DeployProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.DeployProcessorVersion] 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

An object representing a long-running operation.

The result type for the operation will be google.cloud.documentai_v1.types.DeployProcessorVersionResponse Response message for the: [DeployProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.DeployProcessorVersion] method.

Return type

disable_processor(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.DisableProcessorRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

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

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

    # 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 = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.documentai_v1.types.DisableProcessorRequest, dict]) – The request object. Request message for the [DisableProcessor][google.cloud.documentai.v1.DocumentProcessorService.DisableProcessor] 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

An object representing a long-running operation.

The result type for the operation will be google.cloud.documentai_v1.types.DisableProcessorResponse Response message for the: [DisableProcessor][google.cloud.documentai.v1.DocumentProcessorService.DisableProcessor] method. Intentionally empty proto for adding fields in future.

Return type

enable_processor(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.EnableProcessorRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

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

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

    # 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 = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.documentai_v1.types.EnableProcessorRequest, dict]) – The request object. Request message for the [EnableProcessor][google.cloud.documentai.v1.DocumentProcessorService.EnableProcessor] 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

An object representing a long-running operation.

The result type for the operation will be google.cloud.documentai_v1.types.EnableProcessorResponse Response message for the: [EnableProcessor][google.cloud.documentai.v1.DocumentProcessorService.EnableProcessor] method. Intentionally empty proto for adding fields in future.

Return type

evaluate_processor_version(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.EvaluateProcessorVersionRequest, dict]] = None, *, processor_version: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

Evaluates a ProcessorVersion against annotated documents, producing an Evaluation.

# 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

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

    # Initialize request argument(s)
    request = documentai_v1.EvaluateProcessorVersionRequest(
        processor_version="processor_version_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.documentai_v1.types.EvaluateProcessorVersionRequest, dict]) – The request object. Evaluates the given [ProcessorVersion][google.cloud.documentai.v1.ProcessorVersion] against the supplied documents.
processor_version (str) –
Required. The resource name of the [ProcessorVersion][google.cloud.documentai.v1.ProcessorVersion] to evaluate. projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}

This corresponds to the processor_version 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

An object representing a long-running operation.

The result type for the operation will be google.cloud.documentai_v1.types.EvaluateProcessorVersionResponse Response of the: [EvaluateProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.EvaluateProcessorVersion] method.

Return type

google.cloud.documentai_v1.types.FetchProcessorTypesResponse

static evaluation_path(project: str, location: str, processor: str, processor_version: str, evaluation: str) → str[source]¶: Returns a fully-qualified evaluation string.

fetch_processor_types(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.FetchProcessorTypesRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.documentai_v1.types.document_processor_service.FetchProcessorTypesResponse[source]¶

Fetches processor types. Note that we don’t use [ListProcessorTypes][google.cloud.documentai.v1.DocumentProcessorService.ListProcessorTypes] here, because it isn’t 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

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

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

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

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.documentai_v1.types.FetchProcessorTypesRequest, dict]) – The request object. Request message for the [FetchProcessorTypes][google.cloud.documentai.v1.DocumentProcessorService.FetchProcessorTypes] method. Some processor types may require the project be added to an allowlist.
parent (str) –
Required. The location of processor types 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

Response message for the: [FetchProcessorTypes][google.cloud.documentai.v1.DocumentProcessorService.FetchProcessorTypes] method.

Return type

classmethod from_service_account_file(filename: str, *args, **kwargs)[source]¶

Creates an instance of this client using the provided credentials: file.

Parameters

filename (str) – The path to the service account private key json file.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

DocumentProcessorServiceClient

classmethod from_service_account_info(info: dict, *args, **kwargs)[source]¶

Creates an instance of this client using the provided credentials: info.

Parameters

info (dict) – The service account private key info.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

DocumentProcessorServiceClient

classmethod from_service_account_json(filename: str, *args, **kwargs)¶

Creates an instance of this client using the provided credentials: file.

Parameters

filename (str) – The path to the service account private key json file.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

DocumentProcessorServiceClient

get_evaluation(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.GetEvaluationRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.documentai_v1.types.evaluation.Evaluation[source]¶

Retrieves a specific evaluation.

# 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

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

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

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

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.documentai_v1.types.GetEvaluationRequest, dict]) – The request object. Retrieves a specific Evaluation.
name (str) –
Required. The resource name of the [Evaluation][google.cloud.documentai.v1.Evaluation] to get. projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}/evaluations/{evaluation}

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

An evaluation of a ProcessorVersion’s performance.

Return type

google.cloud.documentai_v1.types.Evaluation

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

Gets information about a location.

Parameters

request (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

Location object.

Return type

Location

classmethod get_mtls_endpoint_and_cert_source(client_options: Optional[google.api_core.client_options.ClientOptions] = None)[source]¶

Deprecated. 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.

Parameters

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.

Returns

returns the API endpoint and the: client cert source to use.

Return type

Tuple[str, Callable[[], Tuple[bytes, bytes]]]

Raises

google.auth.exceptions.MutualTLSChannelError – If any errors happen.

get_operation(request: Optional[google.longrunning.operations_pb2.GetOperationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.longrunning.operations_pb2.Operation[source]¶

Gets the latest state of a long-running operation.

Parameters

request (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

An Operation object.

Return type

Operation

get_processor(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.GetProcessorRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.documentai_v1.types.processor.Processor[source]¶

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

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

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

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

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.documentai_v1.types.GetProcessorRequest, dict]) – The request object. Request message for the [GetProcessor][google.cloud.documentai.v1.DocumentProcessorService.GetProcessor] 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

The first-class citizen for Document AI. Each processor defines how to extract structural information from a document.

Return type

google.cloud.documentai_v1.types.ProcessorType

get_processor_type(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.GetProcessorTypeRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.documentai_v1.types.processor_type.ProcessorType[source]¶

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

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

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

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

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.documentai_v1.types.GetProcessorTypeRequest, dict]) – The request object. Request message for the [GetProcessorType][google.cloud.documentai.v1.DocumentProcessorService.GetProcessorType] method.
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

A processor type is responsible for performing a certain document understanding task on a certain type of document.

Return type

get_processor_version(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.GetProcessorVersionRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.documentai_v1.types.processor.ProcessorVersion[source]¶

Gets a processor version 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

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

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

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

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.documentai_v1.types.GetProcessorVersionRequest, dict]) – The request object. Request message for the [GetProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.GetProcessorVersion] 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

A processor version is an implementation of a processor. Each processor can have multiple versions, pretrained by Google internally or uptrained by the customer. A processor can only have one default version at a time. Its document-processing behavior is defined by that version.

Return type

google.cloud.documentai_v1.types.ProcessorVersion

static human_review_config_path(project: str, location: str, processor: str) → str[source]¶: Returns a fully-qualified human_review_config string.

list_evaluations(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.ListEvaluationsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.documentai_v1.services.document_processor_service.pagers.ListEvaluationsPager[source]¶

Retrieves a set of evaluations for a given 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

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

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

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

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

Parameters

request (Union[google.cloud.documentai_v1.types.ListEvaluationsRequest, dict]) – The request object. Retrieves a list of evaluations for a given [ProcessorVersion][google.cloud.documentai.v1.ProcessorVersion].
parent (str) –
Required. The resource name of the [ProcessorVersion][google.cloud.documentai.v1.ProcessorVersion] to list evaluations for. projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}

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

The response from ListEvaluations.

Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.documentai_v1.services.document_processor_service.pagers.ListEvaluationsPager

list_locations(request: Optional[google.cloud.location.locations_pb2.ListLocationsRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.location.locations_pb2.ListLocationsResponse[source]¶

Lists information about the supported locations for this service.

Parameters

request (ListLocationsRequest) – The request object. Request message for ListLocations 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

Response message for ListLocations method.

Return type

ListLocationsResponse

list_operations(request: Optional[google.longrunning.operations_pb2.ListOperationsRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.longrunning.operations_pb2.ListOperationsResponse[source]¶

Lists operations that match the specified filter in the request.

Parameters

request (ListOperationsRequest) – The request object. Request message for ListOperations 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

Response message for ListOperations method.

Return type

ListOperationsResponse

list_processor_types(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.ListProcessorTypesRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.documentai_v1.services.document_processor_service.pagers.ListProcessorTypesPager[source]¶

Lists the processor types that exist.

# 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

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

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

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

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

Parameters

request (Union[google.cloud.documentai_v1.types.ListProcessorTypesRequest, dict]) – The request object. Request message for the [ListProcessorTypes][google.cloud.documentai.v1.DocumentProcessorService.ListProcessorTypes] method. Some processor types may require the project be added to an allowlist.
parent (str) –
Required. The location of processor types 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

Response message for the: [ListProcessorTypes][google.cloud.documentai.v1.DocumentProcessorService.ListProcessorTypes] method.

Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.documentai_v1.services.document_processor_service.pagers.ListProcessorTypesPager

list_processor_versions(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.ListProcessorVersionsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.documentai_v1.services.document_processor_service.pagers.ListProcessorVersionsPager[source]¶

Lists all versions of 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

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

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

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

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

Parameters

request (Union[google.cloud.documentai_v1.types.ListProcessorVersionsRequest, dict]) – The request object. Request message for list all processor versions belongs to a processor.
parent (str) –
Required. The parent (project, location and processor) to list all versions. Format: projects/{project}/locations/{location}/processors/{processor}

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

Response message for the: [ListProcessorVersions][google.cloud.documentai.v1.DocumentProcessorService.ListProcessorVersions] method.

Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.documentai_v1.services.document_processor_service.pagers.ListProcessorVersionsPager

list_processors(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.ListProcessorsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.documentai_v1.services.document_processor_service.pagers.ListProcessorsPager[source]¶

Lists all processors which belong to this project.

# 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

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

    # Initialize request argument(s)
    request = documentai_v1.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

request (Union[google.cloud.documentai_v1.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

Response message for the: [ListProcessors][google.cloud.documentai.v1.DocumentProcessorService.ListProcessors] method.

Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.documentai_v1.services.document_processor_service.pagers.ListProcessorsPager

static parse_common_billing_account_path(path: str) → Dict[str, str][source]¶: Parse a billing_account path into its component segments.

static parse_common_folder_path(path: str) → Dict[str, str][source]¶: Parse a folder path into its component segments.

static parse_common_location_path(path: str) → Dict[str, str][source]¶: Parse a location path into its component segments.

static parse_common_organization_path(path: str) → Dict[str, str][source]¶: Parse a organization path into its component segments.

static parse_common_project_path(path: str) → Dict[str, str][source]¶: Parse a project path into its component segments.

static parse_evaluation_path(path: str) → Dict[str, str][source]¶: Parses a evaluation path into its component segments.

static parse_human_review_config_path(path: str) → Dict[str, str][source]¶: Parses a human_review_config path into its component segments.

static parse_processor_path(path: str) → Dict[str, str][source]¶: Parses a processor path into its component segments.

static parse_processor_type_path(path: str) → Dict[str, str][source]¶: Parses a processor_type path into its component segments.

static parse_processor_version_path(path: str) → Dict[str, str][source]¶: Parses a processor_version path into its component segments.

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

Processes a single document.

# 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

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

request (Union[google.cloud.documentai_v1.types.ProcessRequest, dict]) – The request object. Request message for the [ProcessDocument][google.cloud.documentai.v1.DocumentProcessorService.ProcessDocument] method.
name (str) –
Required. The resource name of the [Processor][google.cloud.documentai.v1.Processor] or [ProcessorVersion][google.cloud.documentai.v1.ProcessorVersion] to use for processing. If a [Processor][google.cloud.documentai.v1.Processor] is specified, the server will use its [default version][google.cloud.documentai.v1.Processor.default_processor_version]. 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

Response message for the: [ProcessDocument][google.cloud.documentai.v1.DocumentProcessorService.ProcessDocument] method.

Return type

google.cloud.documentai_v1.types.ProcessResponse

static processor_path(project: str, location: str, processor: str) → str[source]¶: Returns a fully-qualified processor string.

static processor_type_path(project: str, location: str, processor_type: str) → str[source]¶: Returns a fully-qualified processor_type string.

static processor_version_path(project: str, location: str, processor: str, processor_version: str) → str[source]¶: Returns a fully-qualified processor_version string.

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

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

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

request (Union[google.cloud.documentai_v1.types.ReviewDocumentRequest, dict]) – The request object. Request message for the [ReviewDocument][google.cloud.documentai.v1.DocumentProcessorService.ReviewDocument] method.
human_review_config (str) –
Required. The resource name of the [HumanReviewConfig][google.cloud.documentai.v1.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

An object representing a long-running operation.

The result type for the operation will be google.cloud.documentai_v1.types.ReviewDocumentResponse Response message for the: [ReviewDocument][google.cloud.documentai.v1.DocumentProcessorService.ReviewDocument] method.

Return type

set_default_processor_version(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.SetDefaultProcessorVersionRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

Set the default (active) version of a [Processor][google.cloud.documentai.v1.Processor] that will be used in [ProcessDocument][google.cloud.documentai.v1.DocumentProcessorService.ProcessDocument] and [BatchProcessDocuments][google.cloud.documentai.v1.DocumentProcessorService.BatchProcessDocuments].

# 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

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

    # Initialize request argument(s)
    request = documentai_v1.SetDefaultProcessorVersionRequest(
        processor="processor_value",
        default_processor_version="default_processor_version_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.documentai_v1.types.SetDefaultProcessorVersionRequest, dict]) – The request object. Request message for the [SetDefaultProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.SetDefaultProcessorVersion] 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

An object representing a long-running operation.

The result type for the operation will be google.cloud.documentai_v1.types.SetDefaultProcessorVersionResponse Response message for the: [SetDefaultProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.SetDefaultProcessorVersion] method.

Return type

train_processor_version(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.TrainProcessorVersionRequest, dict]] = None, *, parent: Optional[str] = None, processor_version: Optional[google.cloud.documentai_v1.types.processor.ProcessorVersion] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

Trains a new processor version. Operation metadata is returned as [TrainProcessorVersionMetadata][google.cloud.documentai.v1.TrainProcessorVersionMetadata].

# 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

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

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

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.documentai_v1.types.TrainProcessorVersionRequest, dict]) – The request object. Request message for the [TrainProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.TrainProcessorVersion] method.
parent (str) –
Required. The parent (project, location and processor) to create the new version for. Format: projects/{project}/locations/{location}/processors/{processor}.

This corresponds to the parent field on the request instance; if request is provided, this should not be set.
processor_version (google.cloud.documentai_v1.types.ProcessorVersion) –
Required. The processor version to be created.

This corresponds to the processor_version 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

An object representing a long-running operation.

The result type for the operation will be google.cloud.documentai_v1.types.TrainProcessorVersionResponse The response for: [TrainProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.TrainProcessorVersion].

Return type

property transport: google.cloud.documentai_v1.services.document_processor_service.transports.base.DocumentProcessorServiceTransport¶

Returns the transport used by the client instance.

Returns

The transport used by the client: instance.

Return type

DocumentProcessorServiceTransport

undeploy_processor_version(request: Optional[Union[google.cloud.documentai_v1.types.document_processor_service.UndeployProcessorVersionRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

Undeploys 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

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

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

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.documentai_v1.types.UndeployProcessorVersionRequest, dict]) – The request object. Request message for the [UndeployProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.UndeployProcessorVersion] method.
name (str) –
Required. The processor version resource name to be undeployed.

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

An object representing a long-running operation.

The result type for the operation will be google.cloud.documentai_v1.types.UndeployProcessorVersionResponse Response message for the: [UndeployProcessorVersion][google.cloud.documentai.v1.DocumentProcessorService.UndeployProcessorVersion] method.

Return type