aws_sdk_rekognition/operation/get_label_detection/

builders.rs

// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
pub use crate::operation::get_label_detection::_get_label_detection_output::GetLabelDetectionOutputBuilder;

pub use crate::operation::get_label_detection::_get_label_detection_input::GetLabelDetectionInputBuilder;

impl GetLabelDetectionInputBuilder {
    /// Sends a request with this input using the given client.
    pub async fn send_with(
        self,
        client: &crate::Client,
    ) -> ::std::result::Result<
        crate::operation::get_label_detection::GetLabelDetectionOutput,
        ::aws_smithy_http::result::SdkError<
            crate::operation::get_label_detection::GetLabelDetectionError,
            ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
        >,
    > {
        let mut fluent_builder = client.get_label_detection();
        fluent_builder.inner = self;
        fluent_builder.send().await
    }
}
/// Fluent builder constructing a request to `GetLabelDetection`.
///
/// <p>Gets the label detection results of a Amazon Rekognition Video analysis started by <code>StartLabelDetection</code>. </p>
/// <p>The label detection operation is started by a call to <code>StartLabelDetection</code> which returns a job identifier (<code>JobId</code>). When the label detection operation finishes, Amazon Rekognition publishes a completion status to the Amazon Simple Notification Service topic registered in the initial call to <code>StartlabelDetection</code>. </p>
/// <p>To get the results of the label detection operation, first check that the status value published to the Amazon SNS topic is <code>SUCCEEDED</code>. If so, call <code>GetLabelDetection</code> and pass the job identifier (<code>JobId</code>) from the initial call to <code>StartLabelDetection</code>.</p>
/// <p> <code>GetLabelDetection</code> returns an array of detected labels (<code>Labels</code>) sorted by the time the labels were detected. You can also sort by the label name by specifying <code>NAME</code> for the <code>SortBy</code> input parameter. If there is no <code>NAME</code> specified, the default sort is by timestamp.</p>
/// <p>You can select how results are aggregated by using the <code>AggregateBy</code> input parameter. The default aggregation method is <code>TIMESTAMPS</code>. You can also aggregate by <code>SEGMENTS</code>, which aggregates all instances of labels detected in a given segment. </p>
/// <p>The returned Labels array may include the following attributes:</p>
/// <ul>
/// <li> <p>Name - The name of the detected label.</p> </li>
/// <li> <p>Confidence - The level of confidence in the label assigned to a detected object. </p> </li>
/// <li> <p>Parents - The ancestor labels for a detected label. GetLabelDetection returns a hierarchical taxonomy of detected labels. For example, a detected car might be assigned the label car. The label car has two parent labels: Vehicle (its parent) and Transportation (its grandparent). The response includes the all ancestors for a label, where every ancestor is a unique label. In the previous example, Car, Vehicle, and Transportation are returned as unique labels in the response. </p> </li>
/// <li> <p> Aliases - Possible Aliases for the label. </p> </li>
/// <li> <p>Categories - The label categories that the detected label belongs to.</p> </li>
/// <li> <p>BoundingBox — Bounding boxes are described for all instances of detected common object labels, returned in an array of Instance objects. An Instance object contains a BoundingBox object, describing the location of the label on the input image. It also includes the confidence for the accuracy of the detected bounding box.</p> </li>
/// <li> <p>Timestamp - Time, in milliseconds from the start of the video, that the label was detected. For aggregation by <code>SEGMENTS</code>, the <code>StartTimestampMillis</code>, <code>EndTimestampMillis</code>, and <code>DurationMillis</code> structures are what define a segment. Although the “Timestamp” structure is still returned with each label, its value is set to be the same as <code>StartTimestampMillis</code>.</p> </li>
/// </ul>
/// <p>Timestamp and Bounding box information are returned for detected Instances, only if aggregation is done by <code>TIMESTAMPS</code>. If aggregating by <code>SEGMENTS</code>, information about detected instances isn’t returned. </p>
/// <p>The version of the label model used for the detection is also returned.</p>
/// <p> <b>Note <code>DominantColors</code> isn't returned for <code>Instances</code>, although it is shown as part of the response in the sample seen below.</b> </p>
/// <p>Use <code>MaxResults</code> parameter to limit the number of labels returned. If there are more results than specified in <code>MaxResults</code>, the value of <code>NextToken</code> in the operation response contains a pagination token for getting the next set of results. To get the next page of results, call <code>GetlabelDetection</code> and populate the <code>NextToken</code> request parameter with the token value returned from the previous call to <code>GetLabelDetection</code>.</p>
#[derive(::std::clone::Clone, ::std::fmt::Debug)]
pub struct GetLabelDetectionFluentBuilder {
    handle: ::std::sync::Arc<crate::client::Handle>,
    inner: crate::operation::get_label_detection::builders::GetLabelDetectionInputBuilder,
    config_override: ::std::option::Option<crate::config::Builder>,
}
impl
    crate::client::customize::internal::CustomizableSend<
        crate::operation::get_label_detection::GetLabelDetectionOutput,
        crate::operation::get_label_detection::GetLabelDetectionError,
    > for GetLabelDetectionFluentBuilder
{
    fn send(
        self,
        config_override: crate::config::Builder,
    ) -> crate::client::customize::internal::BoxFuture<
        crate::client::customize::internal::SendResult<
            crate::operation::get_label_detection::GetLabelDetectionOutput,
            crate::operation::get_label_detection::GetLabelDetectionError,
        >,
    > {
        ::std::boxed::Box::pin(async move { self.config_override(config_override).send().await })
    }
}
impl GetLabelDetectionFluentBuilder {
    /// Creates a new `GetLabelDetection`.
    pub(crate) fn new(handle: ::std::sync::Arc<crate::client::Handle>) -> Self {
        Self {
            handle,
            inner: ::std::default::Default::default(),
            config_override: ::std::option::Option::None,
        }
    }
    /// Access the GetLabelDetection as a reference.
    pub fn as_input(&self) -> &crate::operation::get_label_detection::builders::GetLabelDetectionInputBuilder {
        &self.inner
    }
    /// Sends the request and returns the response.
    ///
    /// If an error occurs, an `SdkError` will be returned with additional details that
    /// can be matched against.
    ///
    /// By default, any retryable failures will be retried twice. Retry behavior
    /// is configurable with the [RetryConfig](aws_smithy_types::retry::RetryConfig), which can be
    /// set when configuring the client.
    pub async fn send(
        self,
    ) -> ::std::result::Result<
        crate::operation::get_label_detection::GetLabelDetectionOutput,
        ::aws_smithy_http::result::SdkError<
            crate::operation::get_label_detection::GetLabelDetectionError,
            ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
        >,
    > {
        let input = self.inner.build().map_err(::aws_smithy_http::result::SdkError::construction_failure)?;
        let runtime_plugins = crate::operation::get_label_detection::GetLabelDetection::operation_runtime_plugins(
            self.handle.runtime_plugins.clone(),
            &self.handle.conf,
            self.config_override,
        );
        crate::operation::get_label_detection::GetLabelDetection::orchestrate(&runtime_plugins, input).await
    }

    /// Consumes this builder, creating a customizable operation that can be modified before being
    /// sent.
    // TODO(enableNewSmithyRuntimeCleanup): Remove `async` and `Result` once we switch to orchestrator
    pub async fn customize(
        self,
    ) -> ::std::result::Result<
        crate::client::customize::orchestrator::CustomizableOperation<
            crate::operation::get_label_detection::GetLabelDetectionOutput,
            crate::operation::get_label_detection::GetLabelDetectionError,
            Self,
        >,
        ::aws_smithy_http::result::SdkError<crate::operation::get_label_detection::GetLabelDetectionError>,
    > {
        ::std::result::Result::Ok(crate::client::customize::orchestrator::CustomizableOperation::new(self))
    }
    pub(crate) fn config_override(mut self, config_override: impl Into<crate::config::Builder>) -> Self {
        self.set_config_override(Some(config_override.into()));
        self
    }

    pub(crate) fn set_config_override(&mut self, config_override: Option<crate::config::Builder>) -> &mut Self {
        self.config_override = config_override;
        self
    }
    /// Create a paginator for this request
    ///
    /// Paginators are used by calling [`send().await`](crate::operation::get_label_detection::paginator::GetLabelDetectionPaginator::send) which returns a `Stream`.
    pub fn into_paginator(self) -> crate::operation::get_label_detection::paginator::GetLabelDetectionPaginator {
        crate::operation::get_label_detection::paginator::GetLabelDetectionPaginator::new(self.handle, self.inner)
    }
    /// <p>Job identifier for the label detection operation for which you want results returned. You get the job identifer from an initial call to <code>StartlabelDetection</code>.</p>
    pub fn job_id(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.job_id(input.into());
        self
    }
    /// <p>Job identifier for the label detection operation for which you want results returned. You get the job identifer from an initial call to <code>StartlabelDetection</code>.</p>
    pub fn set_job_id(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_job_id(input);
        self
    }
    /// <p>Job identifier for the label detection operation for which you want results returned. You get the job identifer from an initial call to <code>StartlabelDetection</code>.</p>
    pub fn get_job_id(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_job_id()
    }
    /// <p>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.</p>
    pub fn max_results(mut self, input: i32) -> Self {
        self.inner = self.inner.max_results(input);
        self
    }
    /// <p>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.</p>
    pub fn set_max_results(mut self, input: ::std::option::Option<i32>) -> Self {
        self.inner = self.inner.set_max_results(input);
        self
    }
    /// <p>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.</p>
    pub fn get_max_results(&self) -> &::std::option::Option<i32> {
        self.inner.get_max_results()
    }
    /// <p>If the previous response was incomplete (because there are more labels to retrieve), Amazon Rekognition Video returns a pagination token in the response. You can use this pagination token to retrieve the next set of labels. </p>
    pub fn next_token(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.next_token(input.into());
        self
    }
    /// <p>If the previous response was incomplete (because there are more labels to retrieve), Amazon Rekognition Video returns a pagination token in the response. You can use this pagination token to retrieve the next set of labels. </p>
    pub fn set_next_token(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_next_token(input);
        self
    }
    /// <p>If the previous response was incomplete (because there are more labels to retrieve), Amazon Rekognition Video returns a pagination token in the response. You can use this pagination token to retrieve the next set of labels. </p>
    pub fn get_next_token(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_next_token()
    }
    /// <p>Sort to use for elements in the <code>Labels</code> array. Use <code>TIMESTAMP</code> to sort array elements by the time labels are detected. Use <code>NAME</code> 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 <code>TIMESTAMP</code>.</p>
    pub fn sort_by(mut self, input: crate::types::LabelDetectionSortBy) -> Self {
        self.inner = self.inner.sort_by(input);
        self
    }
    /// <p>Sort to use for elements in the <code>Labels</code> array. Use <code>TIMESTAMP</code> to sort array elements by the time labels are detected. Use <code>NAME</code> 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 <code>TIMESTAMP</code>.</p>
    pub fn set_sort_by(mut self, input: ::std::option::Option<crate::types::LabelDetectionSortBy>) -> Self {
        self.inner = self.inner.set_sort_by(input);
        self
    }
    /// <p>Sort to use for elements in the <code>Labels</code> array. Use <code>TIMESTAMP</code> to sort array elements by the time labels are detected. Use <code>NAME</code> 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 <code>TIMESTAMP</code>.</p>
    pub fn get_sort_by(&self) -> &::std::option::Option<crate::types::LabelDetectionSortBy> {
        self.inner.get_sort_by()
    }
    /// <p>Defines how to aggregate the returned results. Results can be aggregated by timestamps or segments.</p>
    pub fn aggregate_by(mut self, input: crate::types::LabelDetectionAggregateBy) -> Self {
        self.inner = self.inner.aggregate_by(input);
        self
    }
    /// <p>Defines how to aggregate the returned results. Results can be aggregated by timestamps or segments.</p>
    pub fn set_aggregate_by(mut self, input: ::std::option::Option<crate::types::LabelDetectionAggregateBy>) -> Self {
        self.inner = self.inner.set_aggregate_by(input);
        self
    }
    /// <p>Defines how to aggregate the returned results. Results can be aggregated by timestamps or segments.</p>
    pub fn get_aggregate_by(&self) -> &::std::option::Option<crate::types::LabelDetectionAggregateBy> {
        self.inner.get_aggregate_by()
    }
}