// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
pub use crate::operation::start_text_detection::_start_text_detection_output::StartTextDetectionOutputBuilder;

pub use crate::operation::start_text_detection::_start_text_detection_input::StartTextDetectionInputBuilder;

impl StartTextDetectionInputBuilder {
    /// 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_text_detection::StartTextDetectionOutput,
        ::aws_smithy_http::result::SdkError<
            crate::operation::start_text_detection::StartTextDetectionError,
            ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
        >,
    > {
        let mut fluent_builder = client.start_text_detection();
        fluent_builder.inner = self;
        fluent_builder.send().await
    }
}
/// Fluent builder constructing a request to `StartTextDetection`.
///
/// <p>Starts asynchronous detection of text in a stored video.</p>
/// <p>Amazon Rekognition Video can detect text 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>StartTextDetection</code> returns a job identifier (<code>JobId</code>) which you use to get the results of the operation. When text detection is finished, Amazon Rekognition Video publishes a completion status to the Amazon Simple Notification Service topic that you specify in <code>NotificationChannel</code>.</p>
/// <p>To get the results of the text detection operation, first check that the status value published to the Amazon SNS topic is <code>SUCCEEDED</code>. if so, call <code>GetTextDetection</code> and pass the job identifier (<code>JobId</code>) from the initial call to <code>StartTextDetection</code>. </p>
#[derive(::std::clone::Clone, ::std::fmt::Debug)]
pub struct StartTextDetectionFluentBuilder {
    handle: ::std::sync::Arc<crate::client::Handle>,
    inner: crate::operation::start_text_detection::builders::StartTextDetectionInputBuilder,
    config_override: ::std::option::Option<crate::config::Builder>,
}
impl StartTextDetectionFluentBuilder {
    /// Creates a new `StartTextDetection`.
    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 StartTextDetection as a reference.
    pub fn as_input(&self) -> &crate::operation::start_text_detection::builders::StartTextDetectionInputBuilder {
        &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_text_detection::StartTextDetectionOutput,
        ::aws_smithy_http::result::SdkError<
            crate::operation::start_text_detection::StartTextDetectionError,
            ::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::start_text_detection::StartTextDetection::operation_runtime_plugins(
            self.handle.runtime_plugins.clone(),
            &self.handle.conf,
            self.config_override,
        );
        crate::operation::start_text_detection::StartTextDetection::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::start_text_detection::StartTextDetectionOutput,
            crate::operation::start_text_detection::StartTextDetectionError,
        >,
        ::aws_smithy_http::result::SdkError<crate::operation::start_text_detection::StartTextDetectionError>,
    > {
        ::std::result::Result::Ok(crate::client::customize::orchestrator::CustomizableOperation {
            customizable_send: ::std::boxed::Box::new(move |config_override| {
                ::std::boxed::Box::pin(async { self.config_override(config_override).send().await })
            }),
            config_override: None,
            interceptors: vec![],
            runtime_plugins: vec![],
        })
    }
    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>Video file stored in an Amazon S3 bucket. Amazon Rekognition video start operations such as <code>StartLabelDetection</code> use <code>Video</code> to specify a video for analysis. The supported file formats are .mp4, .mov and .avi.</p>
    pub fn video(mut self, input: crate::types::Video) -> Self {
        self.inner = self.inner.video(input);
        self
    }
    /// <p>Video file stored in an Amazon S3 bucket. Amazon Rekognition video start operations such as <code>StartLabelDetection</code> use <code>Video</code> to specify a video for analysis. The supported file formats are .mp4, .mov and .avi.</p>
    pub fn set_video(mut self, input: ::std::option::Option<crate::types::Video>) -> Self {
        self.inner = self.inner.set_video(input);
        self
    }
    /// <p>Video file stored in an Amazon S3 bucket. Amazon Rekognition video start operations such as <code>StartLabelDetection</code> use <code>Video</code> to specify a video for analysis. The supported file formats are .mp4, .mov and .avi.</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>StartTextDetection</code> requests, the same <code>JobId</code> is returned. Use <code>ClientRequestToken</code> to prevent the same job from being accidentaly 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>StartTextDetection</code> requests, the same <code>JobId</code> is returned. Use <code>ClientRequestToken</code> to prevent the same job from being accidentaly 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>StartTextDetection</code> requests, the same <code>JobId</code> is returned. Use <code>ClientRequestToken</code> to prevent the same job from being accidentaly 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 Amazon Simple Notification Service topic to which Amazon Rekognition publishes the completion status of a video analysis operation. For more information, see <a href="https://docs.aws.amazon.com/rekognition/latest/dg/api-video.html">Calling Amazon Rekognition Video operations</a>. Note that the Amazon SNS topic must have a topic name that begins with <i>AmazonRekognition</i> if you are using the AmazonRekognitionServiceRole permissions policy to access the topic. For more information, see <a href="https://docs.aws.amazon.com/rekognition/latest/dg/api-video-roles.html#api-video-roles-all-topics">Giving access to multiple Amazon SNS topics</a>.</p>
    pub fn notification_channel(mut self, input: crate::types::NotificationChannel) -> Self {
        self.inner = self.inner.notification_channel(input);
        self
    }
    /// <p>The Amazon Simple Notification Service topic to which Amazon Rekognition publishes the completion status of a video analysis operation. For more information, see <a href="https://docs.aws.amazon.com/rekognition/latest/dg/api-video.html">Calling Amazon Rekognition Video operations</a>. Note that the Amazon SNS topic must have a topic name that begins with <i>AmazonRekognition</i> if you are using the AmazonRekognitionServiceRole permissions policy to access the topic. For more information, see <a href="https://docs.aws.amazon.com/rekognition/latest/dg/api-video-roles.html#api-video-roles-all-topics">Giving access to multiple Amazon SNS topics</a>.</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 Amazon Simple Notification Service topic to which Amazon Rekognition publishes the completion status of a video analysis operation. For more information, see <a href="https://docs.aws.amazon.com/rekognition/latest/dg/api-video.html">Calling Amazon Rekognition Video operations</a>. Note that the Amazon SNS topic must have a topic name that begins with <i>AmazonRekognition</i> if you are using the AmazonRekognitionServiceRole permissions policy to access the topic. For more information, see <a href="https://docs.aws.amazon.com/rekognition/latest/dg/api-video-roles.html#api-video-roles-all-topics">Giving access to multiple Amazon SNS topics</a>.</p>
    pub fn get_notification_channel(&self) -> &::std::option::Option<crate::types::NotificationChannel> {
        self.inner.get_notification_channel()
    }
    /// <p>An identifier returned in the completion status published by 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 returned in the completion status published by 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 returned in the completion status published by 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()
    }
    /// <p>Optional parameters that let you set criteria the text must meet to be included in your response.</p>
    pub fn filters(mut self, input: crate::types::StartTextDetectionFilters) -> Self {
        self.inner = self.inner.filters(input);
        self
    }
    /// <p>Optional parameters that let you set criteria the text must meet to be included in your response.</p>
    pub fn set_filters(mut self, input: ::std::option::Option<crate::types::StartTextDetectionFilters>) -> Self {
        self.inner = self.inner.set_filters(input);
        self
    }
    /// <p>Optional parameters that let you set criteria the text must meet to be included in your response.</p>
    pub fn get_filters(&self) -> &::std::option::Option<crate::types::StartTextDetectionFilters> {
        self.inner.get_filters()
    }
}