Struct google_api_proto::google::cloud::contentwarehouse::v1::GcsIngestWithDocAiProcessorsPipeline

pub struct GcsIngestWithDocAiProcessorsPipeline {
    pub input_path: String,
    pub split_classify_processor_info: Option<ProcessorInfo>,
    pub extract_processor_infos: Vec<ProcessorInfo>,
    pub processor_results_folder_path: String,
    pub skip_ingested_documents: bool,
    pub pipeline_config: Option<IngestPipelineConfig>,
}

The configuration of the Cloud Storage Ingestion with DocAI Processors pipeline.

Fields

input_path: String

The input Cloud Storage folder. All files under this folder will be imported to Document Warehouse. Format: gs://<bucket-name>/<folder-name>.

split_classify_processor_info: Option<ProcessorInfo>

The split and classify processor information. The split and classify result will be used to find a matched extract processor.

extract_processor_infos: Vec<ProcessorInfo>

The extract processors information. One matched extract processor will be used to process documents based on the classify processor result. If no classify processor is specified, the first extract processor will be used.

processor_results_folder_path: String

The Cloud Storage folder path used to store the raw results from processors. Format: gs://<bucket-name>/<folder-name>.

skip_ingested_documents: bool

The flag whether to skip ingested documents. If it is set to true, documents in Cloud Storage contains key “status” with value “status=ingested” in custom metadata will be skipped to ingest.

pipeline_config: Option<IngestPipelineConfig>

Optional. The config for the Cloud Storage Ingestion with DocAI Processors pipeline. It provides additional customization options to run the pipeline and can be skipped if it is not applicable.

Trait Implementations

impl Clone for GcsIngestWithDocAiProcessorsPipeline

fn clone(&self) -> GcsIngestWithDocAiProcessorsPipeline

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for GcsIngestWithDocAiProcessorsPipeline

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

Formats the value using the given formatter.

impl Default for GcsIngestWithDocAiProcessorsPipeline

fn default() -> Self

Returns the “default value” for a type.

impl Message for GcsIngestWithDocAiProcessorsPipeline

fn encoded_len(&self) -> usize

Returns the encoded length of the message without a length delimiter.

fn clear(&mut self)

Clears the message, resetting all fields to their default.

fn encode(&self, buf: &mut impl BufMut) -> Result<(), EncodeError>

where Self: Sized,

Encodes the message to a buffer.

fn encode_to_vec(&self) -> Vec<u8>

where Self: Sized,

Encodes the message to a newly allocated buffer.

fn encode_length_delimited( &self, buf: &mut impl BufMut, ) -> Result<(), EncodeError>

where Self: Sized,

Encodes the message with a length-delimiter to a buffer.

fn encode_length_delimited_to_vec(&self) -> Vec<u8>

where Self: Sized,

Encodes the message with a length-delimiter to a newly allocated buffer.

fn decode(buf: impl Buf) -> Result<Self, DecodeError>

where Self: Default,

Decodes an instance of the message from a buffer.

fn decode_length_delimited(buf: impl Buf) -> Result<Self, DecodeError>

where Self: Default,

Decodes a length-delimited instance of the message from the buffer.

fn merge(&mut self, buf: impl Buf) -> Result<(), DecodeError>

where Self: Sized,

Decodes an instance of the message from a buffer, and merges it into self.

fn merge_length_delimited(&mut self, buf: impl Buf) -> Result<(), DecodeError>

where Self: Sized,

Decodes a length-delimited instance of the message from buffer, and merges it into self.

impl PartialEq for GcsIngestWithDocAiProcessorsPipeline

fn eq(&self, other: &GcsIngestWithDocAiProcessorsPipeline) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for GcsIngestWithDocAiProcessorsPipeline