Struct googapis::google::cloud::documentai::v1beta3::document_processor_service_client::DocumentProcessorServiceClient

pub struct DocumentProcessorServiceClient<T> { /* fields omitted */ }

Service to call Cloud DocumentAI to process documents according to the processor’s definition. Processors are built using state-of-the-art Google AI such as natural language, computer vision, and translation to extract structured information from unstructured or semi-structured documents.

Implementations

impl<T> DocumentProcessorServiceClient<T> where
    T: GrpcService<BoxBody>,
    T::ResponseBody: Body + Send + 'static,
    T::Error: Into<StdError>,
    <T::ResponseBody as Body>::Error: Into<StdError> + Send, 

pub fn new(inner: T) -> Self

pub fn with_interceptor<F>(
    inner: T,
    interceptor: F
) -> DocumentProcessorServiceClient<InterceptedService<T, F>> where
    F: Interceptor,
    T: Service<Request<BoxBody>, Response = Response<<T as GrpcService<BoxBody>>::ResponseBody>>,
    <T as Service<Request<BoxBody>>>::Error: Into<StdError> + Send + Sync, 

pub fn send_gzip(self) -> Self

Compress requests with gzip.

This requires the server to support it otherwise it might respond with an error.

pub fn accept_gzip(self) -> Self

Enable decompressing responses with gzip.

pub async fn process_document(
    &mut self,
    request: impl IntoRequest<ProcessRequest>
) -> Result<Response<ProcessResponse>, Status>

Processes a single document.

pub async fn batch_process_documents(
    &mut self,
    request: impl IntoRequest<BatchProcessRequest>
) -> Result<Response<Operation>, Status>

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

pub async fn fetch_processor_types(
    &mut self,
    request: impl IntoRequest<FetchProcessorTypesRequest>
) -> Result<Response<FetchProcessorTypesResponse>, Status>

Fetches processor types.

pub async fn list_processors(
    &mut self,
    request: impl IntoRequest<ListProcessorsRequest>
) -> Result<Response<ListProcessorsResponse>, Status>

Lists all processors which belong to this project.

pub async fn create_processor(
    &mut self,
    request: impl IntoRequest<CreateProcessorRequest>
) -> Result<Response<Processor>, Status>

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

pub async fn delete_processor(
    &mut self,
    request: impl IntoRequest<DeleteProcessorRequest>
) -> Result<Response<Operation>, Status>

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

pub async fn enable_processor(
    &mut self,
    request: impl IntoRequest<EnableProcessorRequest>
) -> Result<Response<Operation>, Status>

Enables a processor

pub async fn disable_processor(
    &mut self,
    request: impl IntoRequest<DisableProcessorRequest>
) -> Result<Response<Operation>, Status>

Disables a processor

pub async fn review_document(
    &mut self,
    request: impl IntoRequest<ReviewDocumentRequest>
) -> Result<Response<Operation>, Status>

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

Trait Implementations

impl<T: Clone> Clone for DocumentProcessorServiceClient<T>

fn clone(&self) -> DocumentProcessorServiceClient<T>

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl<T: Debug> Debug for DocumentProcessorServiceClient<T>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.