Struct aws_sdk_comprehend::model::InputDataConfig

#[non_exhaustive]
pub struct InputDataConfig {
    pub s3_uri: Option<String>,
    pub input_format: Option<InputFormat>,
    pub document_reader_config: Option<DocumentReaderConfig>,
}

The input properties for an inference job.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

s3_uri: Option<String>

The Amazon S3 URI for the input data. The URI must be in same region as the API endpoint that you are calling. The URI can point to a single input file or it can provide the prefix for a collection of data files.

For example, if you use the URI S3://bucketName/prefix, if the prefix is a single file, Amazon Comprehend uses that file as input. If more than one file begins with the prefix, Amazon Comprehend uses all of them as input.

input_format: Option<InputFormat>

Specifies how the text in an input file should be processed:

• ONE_DOC_PER_FILE - Each file is considered a separate document. Use this option when you are processing large documents, such as newspaper articles or scientific papers.

• ONE_DOC_PER_LINE - Each line in a file is considered a separate document. Use this option when you are processing many short documents, such as text messages.

document_reader_config: Option<DocumentReaderConfig>

The document reader config field applies only for InputDataConfig of StartEntitiesDetectionJob.

Use DocumentReaderConfig to provide specifications about how you want your inference documents read. Currently it applies for PDF documents in StartEntitiesDetectionJob custom inference.

Implementations

impl InputDataConfig

pub fn s3_uri(&self) -> Option<&str>

The Amazon S3 URI for the input data. The URI must be in same region as the API endpoint that you are calling. The URI can point to a single input file or it can provide the prefix for a collection of data files.

For example, if you use the URI S3://bucketName/prefix, if the prefix is a single file, Amazon Comprehend uses that file as input. If more than one file begins with the prefix, Amazon Comprehend uses all of them as input.

pub fn input_format(&self) -> Option<&InputFormat>

Specifies how the text in an input file should be processed:

• ONE_DOC_PER_FILE - Each file is considered a separate document. Use this option when you are processing large documents, such as newspaper articles or scientific papers.

• ONE_DOC_PER_LINE - Each line in a file is considered a separate document. Use this option when you are processing many short documents, such as text messages.

pub fn document_reader_config(&self) -> Option<&DocumentReaderConfig>

The document reader config field applies only for InputDataConfig of StartEntitiesDetectionJob.

Use DocumentReaderConfig to provide specifications about how you want your inference documents read. Currently it applies for PDF documents in StartEntitiesDetectionJob custom inference.

impl InputDataConfig

pub fn builder() -> Builder

Creates a new builder-style object to manufacture InputDataConfig

Trait Implementations

impl Clone for InputDataConfig

fn clone(&self) -> InputDataConfig

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for InputDataConfig

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

Formats the value using the given formatter.

impl PartialEq<InputDataConfig> for InputDataConfig

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

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

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

This method tests for !=.

impl StructuralPartialEq for InputDataConfig