Struct Detection

#[non_exhaustive]
pub struct Detection {
    pub arn: Option<String>,
    pub count: Option<i64>,
    pub id: Option<String>,
    pub name: Option<String>,
    pub suppressed: Option<bool>,
    pub type: Option<DataIdentifierType>,
}

Provides information about a type of sensitive data that Amazon Macie found in an S3 bucket while performing automated sensitive data discovery for an account. The information also specifies the custom or managed data identifier that detected the data. This information is available only if automated sensitive data discovery has been enabled for the account.

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.

arn: Option<String>

If the sensitive data was detected by a custom data identifier, the Amazon Resource Name (ARN) of the custom data identifier that detected the data. Otherwise, this value is null.

count: Option<i64>

The total number of occurrences of the sensitive data.

id: Option<String>

The unique identifier for the custom data identifier or managed data identifier that detected the sensitive data. For additional details about a specified managed data identifier, see Using managed data identifiers in the Amazon Macie User Guide.

name: Option<String>

The name of the custom data identifier or managed data identifier that detected the sensitive data. For a managed data identifier, this value is the same as the unique identifier (id).

suppressed: Option<bool>

Specifies whether occurrences of this type of sensitive data are excluded (true) or included (false) in the bucket's sensitivity score, if the score is calculated by Amazon Macie.

type: Option<DataIdentifierType>

The type of data identifier that detected the sensitive data. Possible values are: CUSTOM, for a custom data identifier; and, MANAGED, for a managed data identifier.

Implementations

impl Detection

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

If the sensitive data was detected by a custom data identifier, the Amazon Resource Name (ARN) of the custom data identifier that detected the data. Otherwise, this value is null.

pub fn count(&self) -> Option<i64>

The total number of occurrences of the sensitive data.

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

The unique identifier for the custom data identifier or managed data identifier that detected the sensitive data. For additional details about a specified managed data identifier, see Using managed data identifiers in the Amazon Macie User Guide.

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

The name of the custom data identifier or managed data identifier that detected the sensitive data. For a managed data identifier, this value is the same as the unique identifier (id).

pub fn suppressed(&self) -> Option<bool>

Specifies whether occurrences of this type of sensitive data are excluded (true) or included (false) in the bucket's sensitivity score, if the score is calculated by Amazon Macie.

pub fn type(&self) -> Option<&DataIdentifierType>

The type of data identifier that detected the sensitive data. Possible values are: CUSTOM, for a custom data identifier; and, MANAGED, for a managed data identifier.

impl Detection

pub fn builder() -> DetectionBuilder

Creates a new builder-style object to manufacture Detection.

Trait Implementations

impl Clone for Detection

fn clone(&self) -> Detection

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for Detection

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

Formats the value using the given formatter.

impl PartialEq for Detection

fn eq(&self, other: &Detection) -> 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 Detection