// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
pub use crate::operation::start_face_detection::_start_face_detection_output::StartFaceDetectionOutputBuilder;

pub use crate::operation::start_face_detection::_start_face_detection_input::StartFaceDetectionInputBuilder;

impl StartFaceDetectionInputBuilder {
    /// Sends a request with this input using the given client.
    pub async fn send_with(
        self,
        client: &crate::Client,
    ) -> ::std::result::Result<
        crate::operation::start_face_detection::StartFaceDetectionOutput,
        ::aws_smithy_runtime_api::client::result::SdkError<
            crate::operation::start_face_detection::StartFaceDetectionError,
            ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
        >,
    > {
        let mut fluent_builder = client.start_face_detection();
        fluent_builder.inner = self;
        fluent_builder.send().await
    }
}
/// Fluent builder constructing a request to `StartFaceDetection`.
///
/// <p>Starts asynchronous detection of faces in a stored video.</p>
/// <p>Amazon Rekognition Video can detect faces in a video stored in an Amazon S3 bucket. Use <code>Video</code> to specify the bucket name and the filename of the video. <code>StartFaceDetection</code> returns a job identifier (<code>JobId</code>) that you use to get the results of the operation. When face detection is finished, Amazon Rekognition Video publishes a completion status to the Amazon Simple Notification Service topic that you specify in <code>NotificationChannel</code>. To get the results of the face detection operation, first check that the status value published to the Amazon SNS topic is <code>SUCCEEDED</code>. If so, call <code>GetFaceDetection</code> and pass the job identifier (<code>JobId</code>) from the initial call to <code>StartFaceDetection</code>.</p>
/// <p>For more information, see Detecting faces in a stored video in the Amazon Rekognition Developer Guide.</p>
#[derive(::std::clone::Clone, ::std::fmt::Debug)]
pub struct StartFaceDetectionFluentBuilder {
    handle: ::std::sync::Arc<crate::client::Handle>,
    inner: crate::operation::start_face_detection::builders::StartFaceDetectionInputBuilder,
    config_override: ::std::option::Option<crate::config::Builder>,
}
impl
    crate::client::customize::internal::CustomizableSend<
        crate::operation::start_face_detection::StartFaceDetectionOutput,
        crate::operation::start_face_detection::StartFaceDetectionError,
    > for StartFaceDetectionFluentBuilder
{
    fn send(
        self,
        config_override: crate::config::Builder,
    ) -> crate::client::customize::internal::BoxFuture<
        crate::client::customize::internal::SendResult<
            crate::operation::start_face_detection::StartFaceDetectionOutput,
            crate::operation::start_face_detection::StartFaceDetectionError,
        >,
    > {
        ::std::boxed::Box::pin(async move { self.config_override(config_override).send().await })
    }
}
impl StartFaceDetectionFluentBuilder {
    /// Creates a new `StartFaceDetection`.
    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 StartFaceDetection as a reference.
    pub fn as_input(&self) -> &crate::operation::start_face_detection::builders::StartFaceDetectionInputBuilder {
        &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::start_face_detection::StartFaceDetectionOutput,
        ::aws_smithy_runtime_api::client::result::SdkError<
            crate::operation::start_face_detection::StartFaceDetectionError,
            ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
        >,
    > {
        let input = self
            .inner
            .build()
            .map_err(::aws_smithy_runtime_api::client::result::SdkError::construction_failure)?;
        let runtime_plugins = crate::operation::start_face_detection::StartFaceDetection::operation_runtime_plugins(
            self.handle.runtime_plugins.clone(),
            &self.handle.conf,
            self.config_override,
        );
        crate::operation::start_face_detection::StartFaceDetection::orchestrate(&runtime_plugins, input).await
    }

    /// Consumes this builder, creating a customizable operation that can be modified before being sent.
    pub fn customize(
        self,
    ) -> crate::client::customize::CustomizableOperation<
        crate::operation::start_face_detection::StartFaceDetectionOutput,
        crate::operation::start_face_detection::StartFaceDetectionError,
        Self,
    > {
        crate::client::customize::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
    }
    /// <p>The video in which you want to detect faces. The video must be stored in an Amazon S3 bucket.</p>
    pub fn video(mut self, input: crate::types::Video) -> Self {
        self.inner = self.inner.video(input);
        self
    }
    /// <p>The video in which you want to detect faces. The video must be stored in an Amazon S3 bucket.</p>
    pub fn set_video(mut self, input: ::std::option::Option<crate::types::Video>) -> Self {
        self.inner = self.inner.set_video(input);
        self
    }
    /// <p>The video in which you want to detect faces. The video must be stored in an Amazon S3 bucket.</p>
    pub fn get_video(&self) -> &::std::option::Option<crate::types::Video> {
        self.inner.get_video()
    }
    /// <p>Idempotent token used to identify the start request. If you use the same token with multiple <code>StartFaceDetection</code> requests, the same <code>JobId</code> is returned. Use <code>ClientRequestToken</code> to prevent the same job from being accidently started more than once. </p>
    pub fn client_request_token(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.client_request_token(input.into());
        self
    }
    /// <p>Idempotent token used to identify the start request. If you use the same token with multiple <code>StartFaceDetection</code> requests, the same <code>JobId</code> is returned. Use <code>ClientRequestToken</code> to prevent the same job from being accidently started more than once. </p>
    pub fn set_client_request_token(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_client_request_token(input);
        self
    }
    /// <p>Idempotent token used to identify the start request. If you use the same token with multiple <code>StartFaceDetection</code> requests, the same <code>JobId</code> is returned. Use <code>ClientRequestToken</code> to prevent the same job from being accidently started more than once. </p>
    pub fn get_client_request_token(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_client_request_token()
    }
    /// <p>The ARN of the Amazon SNS topic to which you want Amazon Rekognition Video to publish the completion status of the face detection operation. The Amazon SNS topic must have a topic name that begins with <i>AmazonRekognition</i> if you are using the AmazonRekognitionServiceRole permissions policy.</p>
    pub fn notification_channel(mut self, input: crate::types::NotificationChannel) -> Self {
        self.inner = self.inner.notification_channel(input);
        self
    }
    /// <p>The ARN of the Amazon SNS topic to which you want Amazon Rekognition Video to publish the completion status of the face detection operation. The Amazon SNS topic must have a topic name that begins with <i>AmazonRekognition</i> if you are using the AmazonRekognitionServiceRole permissions policy.</p>
    pub fn set_notification_channel(mut self, input: ::std::option::Option<crate::types::NotificationChannel>) -> Self {
        self.inner = self.inner.set_notification_channel(input);
        self
    }
    /// <p>The ARN of the Amazon SNS topic to which you want Amazon Rekognition Video to publish the completion status of the face detection operation. The Amazon SNS topic must have a topic name that begins with <i>AmazonRekognition</i> if you are using the AmazonRekognitionServiceRole permissions policy.</p>
    pub fn get_notification_channel(&self) -> &::std::option::Option<crate::types::NotificationChannel> {
        self.inner.get_notification_channel()
    }
    /// <p>The face attributes you want returned.</p>
    /// <p> <code>DEFAULT</code> - The following subset of facial attributes are returned: BoundingBox, Confidence, Pose, Quality and Landmarks. </p>
    /// <p> <code>ALL</code> - All facial attributes are returned.</p>
    pub fn face_attributes(mut self, input: crate::types::FaceAttributes) -> Self {
        self.inner = self.inner.face_attributes(input);
        self
    }
    /// <p>The face attributes you want returned.</p>
    /// <p> <code>DEFAULT</code> - The following subset of facial attributes are returned: BoundingBox, Confidence, Pose, Quality and Landmarks. </p>
    /// <p> <code>ALL</code> - All facial attributes are returned.</p>
    pub fn set_face_attributes(mut self, input: ::std::option::Option<crate::types::FaceAttributes>) -> Self {
        self.inner = self.inner.set_face_attributes(input);
        self
    }
    /// <p>The face attributes you want returned.</p>
    /// <p> <code>DEFAULT</code> - The following subset of facial attributes are returned: BoundingBox, Confidence, Pose, Quality and Landmarks. </p>
    /// <p> <code>ALL</code> - All facial attributes are returned.</p>
    pub fn get_face_attributes(&self) -> &::std::option::Option<crate::types::FaceAttributes> {
        self.inner.get_face_attributes()
    }
    /// <p>An identifier you specify that's returned in the completion notification that's published to your Amazon Simple Notification Service topic. For example, you can use <code>JobTag</code> to group related jobs and identify them in the completion notification.</p>
    pub fn job_tag(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.job_tag(input.into());
        self
    }
    /// <p>An identifier you specify that's returned in the completion notification that's published to your Amazon Simple Notification Service topic. For example, you can use <code>JobTag</code> to group related jobs and identify them in the completion notification.</p>
    pub fn set_job_tag(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_job_tag(input);
        self
    }
    /// <p>An identifier you specify that's returned in the completion notification that's published to your Amazon Simple Notification Service topic. For example, you can use <code>JobTag</code> to group related jobs and identify them in the completion notification.</p>
    pub fn get_job_tag(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_job_tag()
    }
}