Struct aws_sdk_textract::operation::get_expense_analysis::GetExpenseAnalysisOutput

#[non_exhaustive]
pub struct GetExpenseAnalysisOutput {
    pub document_metadata: Option<DocumentMetadata>,
    pub job_status: Option<JobStatus>,
    pub next_token: Option<String>,
    pub expense_documents: Option<Vec<ExpenseDocument>>,
    pub warnings: Option<Vec<Warning>>,
    pub status_message: Option<String>,
    pub analyze_expense_model_version: Option<String>,
    /* private fields */
}

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.

document_metadata: Option<DocumentMetadata>

Information about a document that Amazon Textract processed. DocumentMetadata is returned in every page of paginated responses from an Amazon Textract operation.

job_status: Option<JobStatus>

The current status of the text detection job.

next_token: Option<String>

If the response is truncated, Amazon Textract returns this token. You can use this token in the subsequent request to retrieve the next set of text-detection results.

expense_documents: Option<Vec<ExpenseDocument>>

The expenses detected by Amazon Textract.

warnings: Option<Vec<Warning>>

A list of warnings that occurred during the text-detection operation for the document.

status_message: Option<String>

Returns if the detection job could not be completed. Contains explanation for what error occured.

analyze_expense_model_version: Option<String>

The current model version of AnalyzeExpense.

Implementations

impl GetExpenseAnalysisOutput

pub fn document_metadata(&self) -> Option<&DocumentMetadata>

Information about a document that Amazon Textract processed. DocumentMetadata is returned in every page of paginated responses from an Amazon Textract operation.

pub fn job_status(&self) -> Option<&JobStatus>

The current status of the text detection job.

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

If the response is truncated, Amazon Textract returns this token. You can use this token in the subsequent request to retrieve the next set of text-detection results.

pub fn expense_documents(&self) -> &[ExpenseDocument]

The expenses detected by Amazon Textract.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .expense_documents.is_none().

pub fn warnings(&self) -> &[Warning]

A list of warnings that occurred during the text-detection operation for the document.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .warnings.is_none().

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

Returns if the detection job could not be completed. Contains explanation for what error occured.

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

The current model version of AnalyzeExpense.

impl GetExpenseAnalysisOutput

pub fn builder() -> GetExpenseAnalysisOutputBuilder

Creates a new builder-style object to manufacture GetExpenseAnalysisOutput.

Trait Implementations

impl Clone for GetExpenseAnalysisOutput

fn clone(&self) -> GetExpenseAnalysisOutput

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for GetExpenseAnalysisOutput

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

Formats the value using the given formatter.

impl PartialEq for GetExpenseAnalysisOutput

fn eq(&self, other: &GetExpenseAnalysisOutput) -> 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 RequestId for GetExpenseAnalysisOutput

fn request_id(&self) -> Option<&str>

Returns the request ID, or None if the service could not be reached.

impl StructuralPartialEq for GetExpenseAnalysisOutput