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// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
#[allow(missing_docs)] // documentation missing in model
#[non_exhaustive]
#[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::fmt::Debug)]
pub struct RecognizeTextOutput {
/// <p>A list of messages last sent to the user. The messages are ordered based on the order that you returned the messages from your Lambda function or the order that the messages are defined in the bot.</p>
pub messages: ::std::option::Option<::std::vec::Vec<crate::types::Message>>,
/// <p>Represents the current state of the dialog between the user and the bot.</p>
/// <p>Use this to determine the progress of the conversation and what the next action may be.</p>
pub session_state: ::std::option::Option<crate::types::SessionState>,
/// <p>A list of intents that Amazon Lex V2 determined might satisfy the user's utterance.</p>
/// <p>Each interpretation includes the intent, a score that indicates now confident Amazon Lex V2 is that the interpretation is the correct one, and an optional sentiment response that indicates the sentiment expressed in the utterance.</p>
pub interpretations: ::std::option::Option<::std::vec::Vec<crate::types::Interpretation>>,
/// <p>The attributes sent in the request.</p>
pub request_attributes: ::std::option::Option<::std::collections::HashMap<::std::string::String, ::std::string::String>>,
/// <p>The identifier of the session in use.</p>
pub session_id: ::std::option::Option<::std::string::String>,
/// <p>The bot member that recognized the text.</p>
pub recognized_bot_member: ::std::option::Option<crate::types::RecognizedBotMember>,
_request_id: Option<String>,
}
impl RecognizeTextOutput {
/// <p>A list of messages last sent to the user. The messages are ordered based on the order that you returned the messages from your Lambda function or the order that the messages are defined in the bot.</p>
///
/// If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use `.messages.is_none()`.
pub fn messages(&self) -> &[crate::types::Message] {
self.messages.as_deref().unwrap_or_default()
}
/// <p>Represents the current state of the dialog between the user and the bot.</p>
/// <p>Use this to determine the progress of the conversation and what the next action may be.</p>
pub fn session_state(&self) -> ::std::option::Option<&crate::types::SessionState> {
self.session_state.as_ref()
}
/// <p>A list of intents that Amazon Lex V2 determined might satisfy the user's utterance.</p>
/// <p>Each interpretation includes the intent, a score that indicates now confident Amazon Lex V2 is that the interpretation is the correct one, and an optional sentiment response that indicates the sentiment expressed in the utterance.</p>
///
/// If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use `.interpretations.is_none()`.
pub fn interpretations(&self) -> &[crate::types::Interpretation] {
self.interpretations.as_deref().unwrap_or_default()
}
/// <p>The attributes sent in the request.</p>
pub fn request_attributes(&self) -> ::std::option::Option<&::std::collections::HashMap<::std::string::String, ::std::string::String>> {
self.request_attributes.as_ref()
}
/// <p>The identifier of the session in use.</p>
pub fn session_id(&self) -> ::std::option::Option<&str> {
self.session_id.as_deref()
}
/// <p>The bot member that recognized the text.</p>
pub fn recognized_bot_member(&self) -> ::std::option::Option<&crate::types::RecognizedBotMember> {
self.recognized_bot_member.as_ref()
}
}
impl ::aws_types::request_id::RequestId for RecognizeTextOutput {
fn request_id(&self) -> Option<&str> {
self._request_id.as_deref()
}
}
impl RecognizeTextOutput {
/// Creates a new builder-style object to manufacture [`RecognizeTextOutput`](crate::operation::recognize_text::RecognizeTextOutput).
pub fn builder() -> crate::operation::recognize_text::builders::RecognizeTextOutputBuilder {
crate::operation::recognize_text::builders::RecognizeTextOutputBuilder::default()
}
}
/// A builder for [`RecognizeTextOutput`](crate::operation::recognize_text::RecognizeTextOutput).
#[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::default::Default, ::std::fmt::Debug)]
#[non_exhaustive]
pub struct RecognizeTextOutputBuilder {
pub(crate) messages: ::std::option::Option<::std::vec::Vec<crate::types::Message>>,
pub(crate) session_state: ::std::option::Option<crate::types::SessionState>,
pub(crate) interpretations: ::std::option::Option<::std::vec::Vec<crate::types::Interpretation>>,
pub(crate) request_attributes: ::std::option::Option<::std::collections::HashMap<::std::string::String, ::std::string::String>>,
pub(crate) session_id: ::std::option::Option<::std::string::String>,
pub(crate) recognized_bot_member: ::std::option::Option<crate::types::RecognizedBotMember>,
_request_id: Option<String>,
}
impl RecognizeTextOutputBuilder {
/// Appends an item to `messages`.
///
/// To override the contents of this collection use [`set_messages`](Self::set_messages).
///
/// <p>A list of messages last sent to the user. The messages are ordered based on the order that you returned the messages from your Lambda function or the order that the messages are defined in the bot.</p>
pub fn messages(mut self, input: crate::types::Message) -> Self {
let mut v = self.messages.unwrap_or_default();
v.push(input);
self.messages = ::std::option::Option::Some(v);
self
}
/// <p>A list of messages last sent to the user. The messages are ordered based on the order that you returned the messages from your Lambda function or the order that the messages are defined in the bot.</p>
pub fn set_messages(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::Message>>) -> Self {
self.messages = input;
self
}
/// <p>A list of messages last sent to the user. The messages are ordered based on the order that you returned the messages from your Lambda function or the order that the messages are defined in the bot.</p>
pub fn get_messages(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::Message>> {
&self.messages
}
/// <p>Represents the current state of the dialog between the user and the bot.</p>
/// <p>Use this to determine the progress of the conversation and what the next action may be.</p>
pub fn session_state(mut self, input: crate::types::SessionState) -> Self {
self.session_state = ::std::option::Option::Some(input);
self
}
/// <p>Represents the current state of the dialog between the user and the bot.</p>
/// <p>Use this to determine the progress of the conversation and what the next action may be.</p>
pub fn set_session_state(mut self, input: ::std::option::Option<crate::types::SessionState>) -> Self {
self.session_state = input;
self
}
/// <p>Represents the current state of the dialog between the user and the bot.</p>
/// <p>Use this to determine the progress of the conversation and what the next action may be.</p>
pub fn get_session_state(&self) -> &::std::option::Option<crate::types::SessionState> {
&self.session_state
}
/// Appends an item to `interpretations`.
///
/// To override the contents of this collection use [`set_interpretations`](Self::set_interpretations).
///
/// <p>A list of intents that Amazon Lex V2 determined might satisfy the user's utterance.</p>
/// <p>Each interpretation includes the intent, a score that indicates now confident Amazon Lex V2 is that the interpretation is the correct one, and an optional sentiment response that indicates the sentiment expressed in the utterance.</p>
pub fn interpretations(mut self, input: crate::types::Interpretation) -> Self {
let mut v = self.interpretations.unwrap_or_default();
v.push(input);
self.interpretations = ::std::option::Option::Some(v);
self
}
/// <p>A list of intents that Amazon Lex V2 determined might satisfy the user's utterance.</p>
/// <p>Each interpretation includes the intent, a score that indicates now confident Amazon Lex V2 is that the interpretation is the correct one, and an optional sentiment response that indicates the sentiment expressed in the utterance.</p>
pub fn set_interpretations(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::Interpretation>>) -> Self {
self.interpretations = input;
self
}
/// <p>A list of intents that Amazon Lex V2 determined might satisfy the user's utterance.</p>
/// <p>Each interpretation includes the intent, a score that indicates now confident Amazon Lex V2 is that the interpretation is the correct one, and an optional sentiment response that indicates the sentiment expressed in the utterance.</p>
pub fn get_interpretations(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::Interpretation>> {
&self.interpretations
}
/// Adds a key-value pair to `request_attributes`.
///
/// To override the contents of this collection use [`set_request_attributes`](Self::set_request_attributes).
///
/// <p>The attributes sent in the request.</p>
pub fn request_attributes(
mut self,
k: impl ::std::convert::Into<::std::string::String>,
v: impl ::std::convert::Into<::std::string::String>,
) -> Self {
let mut hash_map = self.request_attributes.unwrap_or_default();
hash_map.insert(k.into(), v.into());
self.request_attributes = ::std::option::Option::Some(hash_map);
self
}
/// <p>The attributes sent in the request.</p>
pub fn set_request_attributes(
mut self,
input: ::std::option::Option<::std::collections::HashMap<::std::string::String, ::std::string::String>>,
) -> Self {
self.request_attributes = input;
self
}
/// <p>The attributes sent in the request.</p>
pub fn get_request_attributes(&self) -> &::std::option::Option<::std::collections::HashMap<::std::string::String, ::std::string::String>> {
&self.request_attributes
}
/// <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.session_id = ::std::option::Option::Some(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.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.session_id
}
/// <p>The bot member that recognized the text.</p>
pub fn recognized_bot_member(mut self, input: crate::types::RecognizedBotMember) -> Self {
self.recognized_bot_member = ::std::option::Option::Some(input);
self
}
/// <p>The bot member that recognized the text.</p>
pub fn set_recognized_bot_member(mut self, input: ::std::option::Option<crate::types::RecognizedBotMember>) -> Self {
self.recognized_bot_member = input;
self
}
/// <p>The bot member that recognized the text.</p>
pub fn get_recognized_bot_member(&self) -> &::std::option::Option<crate::types::RecognizedBotMember> {
&self.recognized_bot_member
}
pub(crate) fn _request_id(mut self, request_id: impl Into<String>) -> Self {
self._request_id = Some(request_id.into());
self
}
pub(crate) fn _set_request_id(&mut self, request_id: Option<String>) -> &mut Self {
self._request_id = request_id;
self
}
/// Consumes the builder and constructs a [`RecognizeTextOutput`](crate::operation::recognize_text::RecognizeTextOutput).
pub fn build(self) -> crate::operation::recognize_text::RecognizeTextOutput {
crate::operation::recognize_text::RecognizeTextOutput {
messages: self.messages,
session_state: self.session_state,
interpretations: self.interpretations,
request_attributes: self.request_attributes,
session_id: self.session_id,
recognized_bot_member: self.recognized_bot_member,
_request_id: self._request_id,
}
}
}