// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
pub use crate::operation::recognize_utterance::_recognize_utterance_output::RecognizeUtteranceOutputBuilder;

pub use crate::operation::recognize_utterance::_recognize_utterance_input::RecognizeUtteranceInputBuilder;

impl RecognizeUtteranceInputBuilder {
    /// Sends a request with this input using the given client.
    pub async fn send_with(
        self,
        client: &crate::Client,
    ) -> ::std::result::Result<
        crate::operation::recognize_utterance::RecognizeUtteranceOutput,
        ::aws_smithy_runtime_api::client::result::SdkError<
            crate::operation::recognize_utterance::RecognizeUtteranceError,
            ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
        >,
    > {
        let mut fluent_builder = client.recognize_utterance();
        fluent_builder.inner = self;
        fluent_builder.send().await
    }
}
/// Fluent builder constructing a request to `RecognizeUtterance`.
///
/// <p>Sends user input to Amazon Lex V2. You can send text or speech. Clients use this API to send text and audio requests to Amazon Lex V2 at runtime. Amazon Lex V2 interprets the user input using the machine learning model built for the bot.</p>
/// <p>The following request fields must be compressed with gzip and then base64 encoded before you send them to Amazon Lex V2. </p>
/// <ul>
/// <li> <p>requestAttributes</p> </li>
/// <li> <p>sessionState</p> </li>
/// </ul>
/// <p>The following response fields are compressed using gzip and then base64 encoded by Amazon Lex V2. Before you can use these fields, you must decode and decompress them. </p>
/// <ul>
/// <li> <p>inputTranscript</p> </li>
/// <li> <p>interpretations</p> </li>
/// <li> <p>messages</p> </li>
/// <li> <p>requestAttributes</p> </li>
/// <li> <p>sessionState</p> </li>
/// </ul>
/// <p>The example contains a Java application that compresses and encodes a Java object to send to Amazon Lex V2, and a second that decodes and decompresses a response from Amazon Lex V2.</p>
/// <p>If the optional post-fulfillment response is specified, the messages are returned as follows. For more information, see <a href="https://docs.aws.amazon.com/lexv2/latest/dg/API_PostFulfillmentStatusSpecification.html">PostFulfillmentStatusSpecification</a>.</p>
/// <ul>
/// <li> <p> <b>Success message</b> - Returned if the Lambda function completes successfully and the intent state is fulfilled or ready fulfillment if the message is present.</p> </li>
/// <li> <p> <b>Failed message</b> - The failed message is returned if the Lambda function throws an exception or if the Lambda function returns a failed intent state without a message.</p> </li>
/// <li> <p> <b>Timeout message</b> - If you don't configure a timeout message and a timeout, and the Lambda function doesn't return within 30 seconds, the timeout message is returned. If you configure a timeout, the timeout message is returned when the period times out. </p> </li>
/// </ul>
/// <p>For more information, see <a href="https://docs.aws.amazon.com/lexv2/latest/dg/streaming-progress.html#progress-complete.html">Completion message</a>.</p>
#[derive(::std::fmt::Debug)]
pub struct RecognizeUtteranceFluentBuilder {
    handle: ::std::sync::Arc<crate::client::Handle>,
    inner: crate::operation::recognize_utterance::builders::RecognizeUtteranceInputBuilder,
    config_override: ::std::option::Option<crate::config::Builder>,
}
impl
    crate::client::customize::internal::CustomizableSend<
        crate::operation::recognize_utterance::RecognizeUtteranceOutput,
        crate::operation::recognize_utterance::RecognizeUtteranceError,
    > for RecognizeUtteranceFluentBuilder
{
    fn send(
        self,
        config_override: crate::config::Builder,
    ) -> crate::client::customize::internal::BoxFuture<
        crate::client::customize::internal::SendResult<
            crate::operation::recognize_utterance::RecognizeUtteranceOutput,
            crate::operation::recognize_utterance::RecognizeUtteranceError,
        >,
    > {
        ::std::boxed::Box::pin(async move { self.config_override(config_override).send().await })
    }
}
impl RecognizeUtteranceFluentBuilder {
    /// Creates a new `RecognizeUtterance`.
    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 RecognizeUtterance as a reference.
    pub fn as_input(&self) -> &crate::operation::recognize_utterance::builders::RecognizeUtteranceInputBuilder {
        &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::recognize_utterance::RecognizeUtteranceOutput,
        ::aws_smithy_runtime_api::client::result::SdkError<
            crate::operation::recognize_utterance::RecognizeUtteranceError,
            ::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::recognize_utterance::RecognizeUtterance::operation_runtime_plugins(
            self.handle.runtime_plugins.clone(),
            &self.handle.conf,
            self.config_override,
        );
        crate::operation::recognize_utterance::RecognizeUtterance::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::recognize_utterance::RecognizeUtteranceOutput,
        crate::operation::recognize_utterance::RecognizeUtteranceError,
        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 identifier of the bot that should receive the request.</p>
    pub fn bot_id(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.bot_id(input.into());
        self
    }
    /// <p>The identifier of the bot that should receive the request.</p>
    pub fn set_bot_id(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_bot_id(input);
        self
    }
    /// <p>The identifier of the bot that should receive the request.</p>
    pub fn get_bot_id(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_bot_id()
    }
    /// <p>The alias identifier in use for the bot that should receive the request.</p>
    pub fn bot_alias_id(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.bot_alias_id(input.into());
        self
    }
    /// <p>The alias identifier in use for the bot that should receive the request.</p>
    pub fn set_bot_alias_id(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_bot_alias_id(input);
        self
    }
    /// <p>The alias identifier in use for the bot that should receive the request.</p>
    pub fn get_bot_alias_id(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_bot_alias_id()
    }
    /// <p>The locale where the session is in use.</p>
    pub fn locale_id(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.locale_id(input.into());
        self
    }
    /// <p>The locale where the session is in use.</p>
    pub fn set_locale_id(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_locale_id(input);
        self
    }
    /// <p>The locale where the session is in use.</p>
    pub fn get_locale_id(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_locale_id()
    }
    /// <p>The identifier of the session in use.</p>
    pub fn session_id(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.session_id(input.into());
        self
    }
    /// <p>The identifier of the session in use.</p>
    pub fn set_session_id(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_session_id(input);
        self
    }
    /// <p>The identifier of the session in use.</p>
    pub fn get_session_id(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_session_id()
    }
    /// <p>Sets the state of the session with the user. You can use this to set the current intent, attributes, context, and dialog action. Use the dialog action to determine the next step that Amazon Lex V2 should use in the conversation with the user.</p>
    /// <p>The <code>sessionState</code> field must be compressed using gzip and then base64 encoded before sending to Amazon Lex V2.</p>
    pub fn session_state(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.session_state(input.into());
        self
    }
    /// <p>Sets the state of the session with the user. You can use this to set the current intent, attributes, context, and dialog action. Use the dialog action to determine the next step that Amazon Lex V2 should use in the conversation with the user.</p>
    /// <p>The <code>sessionState</code> field must be compressed using gzip and then base64 encoded before sending to Amazon Lex V2.</p>
    pub fn set_session_state(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_session_state(input);
        self
    }
    /// <p>Sets the state of the session with the user. You can use this to set the current intent, attributes, context, and dialog action. Use the dialog action to determine the next step that Amazon Lex V2 should use in the conversation with the user.</p>
    /// <p>The <code>sessionState</code> field must be compressed using gzip and then base64 encoded before sending to Amazon Lex V2.</p>
    pub fn get_session_state(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_session_state()
    }
    /// <p>Request-specific information passed between the client application and Amazon Lex V2 </p>
    /// <p>The namespace <code>x-amz-lex:</code> is reserved for special attributes. Don't create any request attributes for prefix <code>x-amz-lex:</code>.</p>
    /// <p>The <code>requestAttributes</code> field must be compressed using gzip and then base64 encoded before sending to Amazon Lex V2.</p>
    pub fn request_attributes(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.request_attributes(input.into());
        self
    }
    /// <p>Request-specific information passed between the client application and Amazon Lex V2 </p>
    /// <p>The namespace <code>x-amz-lex:</code> is reserved for special attributes. Don't create any request attributes for prefix <code>x-amz-lex:</code>.</p>
    /// <p>The <code>requestAttributes</code> field must be compressed using gzip and then base64 encoded before sending to Amazon Lex V2.</p>
    pub fn set_request_attributes(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_request_attributes(input);
        self
    }
    /// <p>Request-specific information passed between the client application and Amazon Lex V2 </p>
    /// <p>The namespace <code>x-amz-lex:</code> is reserved for special attributes. Don't create any request attributes for prefix <code>x-amz-lex:</code>.</p>
    /// <p>The <code>requestAttributes</code> field must be compressed using gzip and then base64 encoded before sending to Amazon Lex V2.</p>
    pub fn get_request_attributes(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_request_attributes()
    }
    /// <p>Indicates the format for audio input or that the content is text. The header must start with one of the following prefixes:</p>
    /// <ul>
    /// <li> <p>PCM format, audio data must be in little-endian byte order.</p>
    /// <ul>
    /// <li> <p>audio/l16; rate=16000; channels=1</p> </li>
    /// <li> <p>audio/x-l16; sample-rate=16000; channel-count=1</p> </li>
    /// <li> <p>audio/lpcm; sample-rate=8000; sample-size-bits=16; channel-count=1; is-big-endian=false</p> </li>
    /// </ul> </li>
    /// <li> <p>Opus format</p>
    /// <ul>
    /// <li> <p>audio/x-cbr-opus-with-preamble;preamble-size=0;bit-rate=256000;frame-size-milliseconds=4</p> </li>
    /// </ul> </li>
    /// <li> <p>Text format</p>
    /// <ul>
    /// <li> <p>text/plain; charset=utf-8</p> </li>
    /// </ul> </li>
    /// </ul>
    pub fn request_content_type(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.request_content_type(input.into());
        self
    }
    /// <p>Indicates the format for audio input or that the content is text. The header must start with one of the following prefixes:</p>
    /// <ul>
    /// <li> <p>PCM format, audio data must be in little-endian byte order.</p>
    /// <ul>
    /// <li> <p>audio/l16; rate=16000; channels=1</p> </li>
    /// <li> <p>audio/x-l16; sample-rate=16000; channel-count=1</p> </li>
    /// <li> <p>audio/lpcm; sample-rate=8000; sample-size-bits=16; channel-count=1; is-big-endian=false</p> </li>
    /// </ul> </li>
    /// <li> <p>Opus format</p>
    /// <ul>
    /// <li> <p>audio/x-cbr-opus-with-preamble;preamble-size=0;bit-rate=256000;frame-size-milliseconds=4</p> </li>
    /// </ul> </li>
    /// <li> <p>Text format</p>
    /// <ul>
    /// <li> <p>text/plain; charset=utf-8</p> </li>
    /// </ul> </li>
    /// </ul>
    pub fn set_request_content_type(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_request_content_type(input);
        self
    }
    /// <p>Indicates the format for audio input or that the content is text. The header must start with one of the following prefixes:</p>
    /// <ul>
    /// <li> <p>PCM format, audio data must be in little-endian byte order.</p>
    /// <ul>
    /// <li> <p>audio/l16; rate=16000; channels=1</p> </li>
    /// <li> <p>audio/x-l16; sample-rate=16000; channel-count=1</p> </li>
    /// <li> <p>audio/lpcm; sample-rate=8000; sample-size-bits=16; channel-count=1; is-big-endian=false</p> </li>
    /// </ul> </li>
    /// <li> <p>Opus format</p>
    /// <ul>
    /// <li> <p>audio/x-cbr-opus-with-preamble;preamble-size=0;bit-rate=256000;frame-size-milliseconds=4</p> </li>
    /// </ul> </li>
    /// <li> <p>Text format</p>
    /// <ul>
    /// <li> <p>text/plain; charset=utf-8</p> </li>
    /// </ul> </li>
    /// </ul>
    pub fn get_request_content_type(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_request_content_type()
    }
    /// <p>The message that Amazon Lex V2 returns in the response can be either text or speech based on the <code>responseContentType</code> value.</p>
    /// <ul>
    /// <li> <p>If the value is <code>text/plain;charset=utf-8</code>, Amazon Lex V2 returns text in the response.</p> </li>
    /// <li> <p>If the value begins with <code>audio/</code>, Amazon Lex V2 returns speech in the response. Amazon Lex V2 uses Amazon Polly to generate the speech using the configuration that you specified in the <code>responseContentType</code> parameter. For example, if you specify <code>audio/mpeg</code> as the value, Amazon Lex V2 returns speech in the MPEG format.</p> </li>
    /// <li> <p>If the value is <code>audio/pcm</code>, the speech returned is <code>audio/pcm</code> at 16 KHz in 16-bit, little-endian format.</p> </li>
    /// <li> <p>The following are the accepted values:</p>
    /// <ul>
    /// <li> <p>audio/mpeg</p> </li>
    /// <li> <p>audio/ogg</p> </li>
    /// <li> <p>audio/pcm (16 KHz)</p> </li>
    /// <li> <p>audio/* (defaults to mpeg)</p> </li>
    /// <li> <p>text/plain; charset=utf-8</p> </li>
    /// </ul> </li>
    /// </ul>
    pub fn response_content_type(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.response_content_type(input.into());
        self
    }
    /// <p>The message that Amazon Lex V2 returns in the response can be either text or speech based on the <code>responseContentType</code> value.</p>
    /// <ul>
    /// <li> <p>If the value is <code>text/plain;charset=utf-8</code>, Amazon Lex V2 returns text in the response.</p> </li>
    /// <li> <p>If the value begins with <code>audio/</code>, Amazon Lex V2 returns speech in the response. Amazon Lex V2 uses Amazon Polly to generate the speech using the configuration that you specified in the <code>responseContentType</code> parameter. For example, if you specify <code>audio/mpeg</code> as the value, Amazon Lex V2 returns speech in the MPEG format.</p> </li>
    /// <li> <p>If the value is <code>audio/pcm</code>, the speech returned is <code>audio/pcm</code> at 16 KHz in 16-bit, little-endian format.</p> </li>
    /// <li> <p>The following are the accepted values:</p>
    /// <ul>
    /// <li> <p>audio/mpeg</p> </li>
    /// <li> <p>audio/ogg</p> </li>
    /// <li> <p>audio/pcm (16 KHz)</p> </li>
    /// <li> <p>audio/* (defaults to mpeg)</p> </li>
    /// <li> <p>text/plain; charset=utf-8</p> </li>
    /// </ul> </li>
    /// </ul>
    pub fn set_response_content_type(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_response_content_type(input);
        self
    }
    /// <p>The message that Amazon Lex V2 returns in the response can be either text or speech based on the <code>responseContentType</code> value.</p>
    /// <ul>
    /// <li> <p>If the value is <code>text/plain;charset=utf-8</code>, Amazon Lex V2 returns text in the response.</p> </li>
    /// <li> <p>If the value begins with <code>audio/</code>, Amazon Lex V2 returns speech in the response. Amazon Lex V2 uses Amazon Polly to generate the speech using the configuration that you specified in the <code>responseContentType</code> parameter. For example, if you specify <code>audio/mpeg</code> as the value, Amazon Lex V2 returns speech in the MPEG format.</p> </li>
    /// <li> <p>If the value is <code>audio/pcm</code>, the speech returned is <code>audio/pcm</code> at 16 KHz in 16-bit, little-endian format.</p> </li>
    /// <li> <p>The following are the accepted values:</p>
    /// <ul>
    /// <li> <p>audio/mpeg</p> </li>
    /// <li> <p>audio/ogg</p> </li>
    /// <li> <p>audio/pcm (16 KHz)</p> </li>
    /// <li> <p>audio/* (defaults to mpeg)</p> </li>
    /// <li> <p>text/plain; charset=utf-8</p> </li>
    /// </ul> </li>
    /// </ul>
    pub fn get_response_content_type(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_response_content_type()
    }
    /// <p>User input in PCM or Opus audio format or text format as described in the <code>requestContentType</code> parameter.</p>
    pub fn input_stream(mut self, input: ::aws_smithy_types::byte_stream::ByteStream) -> Self {
        self.inner = self.inner.input_stream(input);
        self
    }
    /// <p>User input in PCM or Opus audio format or text format as described in the <code>requestContentType</code> parameter.</p>
    pub fn set_input_stream(mut self, input: ::std::option::Option<::aws_smithy_types::byte_stream::ByteStream>) -> Self {
        self.inner = self.inner.set_input_stream(input);
        self
    }
    /// <p>User input in PCM or Opus audio format or text format as described in the <code>requestContentType</code> parameter.</p>
    pub fn get_input_stream(&self) -> &::std::option::Option<::aws_smithy_types::byte_stream::ByteStream> {
        self.inner.get_input_stream()
    }
}