Struct ClassificationDetails

#[non_exhaustive]
pub struct ClassificationDetails {
    pub detailed_results_location: Option<String>,
    pub job_arn: Option<String>,
    pub job_id: Option<String>,
    pub origin_type: Option<OriginType>,
    pub result: Option<ClassificationResult>,
}

Provides information about a sensitive data finding and the details of the finding.

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.

detailed_results_location: Option<String>

The path to the folder or file in Amazon S3 that contains the corresponding sensitive data discovery result for the finding. If a finding applies to a large archive or compressed file, this value is the path to a folder. Otherwise, this value is the path to a file.

job_arn: Option<String>

The Amazon Resource Name (ARN) of the classification job that produced the finding. This value is null if the origin of the finding (originType) is AUTOMATED_SENSITIVE_DATA_DISCOVERY.

job_id: Option<String>

The unique identifier for the classification job that produced the finding. This value is null if the origin of the finding (originType) is AUTOMATED_SENSITIVE_DATA_DISCOVERY.

origin_type: Option<OriginType>

Specifies how Amazon Macie found the sensitive data that produced the finding. Possible values are: SENSITIVE_DATA_DISCOVERY_JOB, for a classification job; and, AUTOMATED_SENSITIVE_DATA_DISCOVERY, for automated sensitive data discovery.

result: Option<ClassificationResult>

The status and other details of the finding.

Implementations

impl ClassificationDetails

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

The path to the folder or file in Amazon S3 that contains the corresponding sensitive data discovery result for the finding. If a finding applies to a large archive or compressed file, this value is the path to a folder. Otherwise, this value is the path to a file.

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

The Amazon Resource Name (ARN) of the classification job that produced the finding. This value is null if the origin of the finding (originType) is AUTOMATED_SENSITIVE_DATA_DISCOVERY.

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

The unique identifier for the classification job that produced the finding. This value is null if the origin of the finding (originType) is AUTOMATED_SENSITIVE_DATA_DISCOVERY.

pub fn origin_type(&self) -> Option<&OriginType>

Specifies how Amazon Macie found the sensitive data that produced the finding. Possible values are: SENSITIVE_DATA_DISCOVERY_JOB, for a classification job; and, AUTOMATED_SENSITIVE_DATA_DISCOVERY, for automated sensitive data discovery.

pub fn result(&self) -> Option<&ClassificationResult>

The status and other details of the finding.

impl ClassificationDetails

pub fn builder() -> ClassificationDetailsBuilder

Creates a new builder-style object to manufacture ClassificationDetails.

Trait Implementations

impl Clone for ClassificationDetails

fn clone(&self) -> ClassificationDetails

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ClassificationDetails

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

Formats the value using the given formatter.

impl PartialEq for ClassificationDetails

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

Tests for self and other values to be equal, and is used by ==.

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

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

impl StructuralPartialEq for ClassificationDetails