Struct GetContentModerationInput 

#[non_exhaustive]
pub struct GetContentModerationInput {
    pub job_id: Option<String>,
    pub max_results: Option<i32>,
    pub next_token: Option<String>,
    pub sort_by: Option<ContentModerationSortBy>,
    pub aggregate_by: Option<ContentModerationAggregateBy>,
}

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.

job_id: Option<String>

The identifier for the inappropriate, unwanted, or offensive content moderation job. Use JobId to identify the job in a subsequent call to GetContentModeration.

max_results: Option<i32>

Maximum number of results to return per paginated call. The largest value you can specify is 1000. If you specify a value greater than 1000, a maximum of 1000 results is returned. The default value is 1000.

next_token: Option<String>

If the previous response was incomplete (because there is more data to retrieve), Amazon Rekognition returns a pagination token in the response. You can use this pagination token to retrieve the next set of content moderation labels.

sort_by: Option<ContentModerationSortBy>

Sort to use for elements in the ModerationLabelDetections array. Use TIMESTAMP to sort array elements by the time labels are detected. Use NAME to alphabetically group elements for a label together. Within each label group, the array element are sorted by detection confidence. The default sort is by TIMESTAMP.

aggregate_by: Option<ContentModerationAggregateBy>

Defines how to aggregate results of the StartContentModeration request. Default aggregation option is TIMESTAMPS. SEGMENTS mode aggregates moderation labels over time.

Implementations

impl GetContentModerationInput

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

The identifier for the inappropriate, unwanted, or offensive content moderation job. Use JobId to identify the job in a subsequent call to GetContentModeration.

pub fn max_results(&self) -> Option<i32>

Maximum number of results to return per paginated call. The largest value you can specify is 1000. If you specify a value greater than 1000, a maximum of 1000 results is returned. The default value is 1000.

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

If the previous response was incomplete (because there is more data to retrieve), Amazon Rekognition returns a pagination token in the response. You can use this pagination token to retrieve the next set of content moderation labels.

pub fn sort_by(&self) -> Option<&ContentModerationSortBy>

Sort to use for elements in the ModerationLabelDetections array. Use TIMESTAMP to sort array elements by the time labels are detected. Use NAME to alphabetically group elements for a label together. Within each label group, the array element are sorted by detection confidence. The default sort is by TIMESTAMP.

pub fn aggregate_by(&self) -> Option<&ContentModerationAggregateBy>

Defines how to aggregate results of the StartContentModeration request. Default aggregation option is TIMESTAMPS. SEGMENTS mode aggregates moderation labels over time.

impl GetContentModerationInput

pub fn builder() -> GetContentModerationInputBuilder

Creates a new builder-style object to manufacture GetContentModerationInput.

Trait Implementations

impl Clone for GetContentModerationInput

fn clone(&self) -> GetContentModerationInput

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for GetContentModerationInput

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

Formats the value using the given formatter.

impl PartialEq for GetContentModerationInput

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