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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 ListModelsInput {
/// <p>The identifier of the Amazon Q in Connect assistant. Can be either the ID or the ARN. URLs cannot contain the ARN. The assistant's region determines which models are available.</p>
pub assistant_id: ::std::option::Option<::std::string::String>,
/// <p>The type of the AI Prompt to filter models by. When specified, only models that support the given AI Prompt type are returned.</p>
pub ai_prompt_type: ::std::option::Option<crate::types::AiPromptType>,
/// <p>The lifecycle status of models to filter by. When specified, only models with the given lifecycle status are returned.</p>
pub model_lifecycle: ::std::option::Option<crate::types::ModelLifecycle>,
/// <p>The token for the next set of results. Use the value returned in the previous response in the next request to retrieve the next set of results.</p>
pub next_token: ::std::option::Option<::std::string::String>,
/// <p>The maximum number of results to return per page.</p>
pub max_results: ::std::option::Option<i32>,
}
impl ListModelsInput {
/// <p>The identifier of the Amazon Q in Connect assistant. Can be either the ID or the ARN. URLs cannot contain the ARN. The assistant's region determines which models are available.</p>
pub fn assistant_id(&self) -> ::std::option::Option<&str> {
self.assistant_id.as_deref()
}
/// <p>The type of the AI Prompt to filter models by. When specified, only models that support the given AI Prompt type are returned.</p>
pub fn ai_prompt_type(&self) -> ::std::option::Option<&crate::types::AiPromptType> {
self.ai_prompt_type.as_ref()
}
/// <p>The lifecycle status of models to filter by. When specified, only models with the given lifecycle status are returned.</p>
pub fn model_lifecycle(&self) -> ::std::option::Option<&crate::types::ModelLifecycle> {
self.model_lifecycle.as_ref()
}
/// <p>The token for the next set of results. Use the value returned in the previous response in the next request to retrieve the next set of results.</p>
pub fn next_token(&self) -> ::std::option::Option<&str> {
self.next_token.as_deref()
}
/// <p>The maximum number of results to return per page.</p>
pub fn max_results(&self) -> ::std::option::Option<i32> {
self.max_results
}
}
impl ListModelsInput {
/// Creates a new builder-style object to manufacture [`ListModelsInput`](crate::operation::list_models::ListModelsInput).
pub fn builder() -> crate::operation::list_models::builders::ListModelsInputBuilder {
crate::operation::list_models::builders::ListModelsInputBuilder::default()
}
}
/// A builder for [`ListModelsInput`](crate::operation::list_models::ListModelsInput).
#[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::default::Default, ::std::fmt::Debug)]
#[non_exhaustive]
pub struct ListModelsInputBuilder {
pub(crate) assistant_id: ::std::option::Option<::std::string::String>,
pub(crate) ai_prompt_type: ::std::option::Option<crate::types::AiPromptType>,
pub(crate) model_lifecycle: ::std::option::Option<crate::types::ModelLifecycle>,
pub(crate) next_token: ::std::option::Option<::std::string::String>,
pub(crate) max_results: ::std::option::Option<i32>,
}
impl ListModelsInputBuilder {
/// <p>The identifier of the Amazon Q in Connect assistant. Can be either the ID or the ARN. URLs cannot contain the ARN. The assistant's region determines which models are available.</p>
/// This field is required.
pub fn assistant_id(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.assistant_id = ::std::option::Option::Some(input.into());
self
}
/// <p>The identifier of the Amazon Q in Connect assistant. Can be either the ID or the ARN. URLs cannot contain the ARN. The assistant's region determines which models are available.</p>
pub fn set_assistant_id(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.assistant_id = input;
self
}
/// <p>The identifier of the Amazon Q in Connect assistant. Can be either the ID or the ARN. URLs cannot contain the ARN. The assistant's region determines which models are available.</p>
pub fn get_assistant_id(&self) -> &::std::option::Option<::std::string::String> {
&self.assistant_id
}
/// <p>The type of the AI Prompt to filter models by. When specified, only models that support the given AI Prompt type are returned.</p>
pub fn ai_prompt_type(mut self, input: crate::types::AiPromptType) -> Self {
self.ai_prompt_type = ::std::option::Option::Some(input);
self
}
/// <p>The type of the AI Prompt to filter models by. When specified, only models that support the given AI Prompt type are returned.</p>
pub fn set_ai_prompt_type(mut self, input: ::std::option::Option<crate::types::AiPromptType>) -> Self {
self.ai_prompt_type = input;
self
}
/// <p>The type of the AI Prompt to filter models by. When specified, only models that support the given AI Prompt type are returned.</p>
pub fn get_ai_prompt_type(&self) -> &::std::option::Option<crate::types::AiPromptType> {
&self.ai_prompt_type
}
/// <p>The lifecycle status of models to filter by. When specified, only models with the given lifecycle status are returned.</p>
pub fn model_lifecycle(mut self, input: crate::types::ModelLifecycle) -> Self {
self.model_lifecycle = ::std::option::Option::Some(input);
self
}
/// <p>The lifecycle status of models to filter by. When specified, only models with the given lifecycle status are returned.</p>
pub fn set_model_lifecycle(mut self, input: ::std::option::Option<crate::types::ModelLifecycle>) -> Self {
self.model_lifecycle = input;
self
}
/// <p>The lifecycle status of models to filter by. When specified, only models with the given lifecycle status are returned.</p>
pub fn get_model_lifecycle(&self) -> &::std::option::Option<crate::types::ModelLifecycle> {
&self.model_lifecycle
}
/// <p>The token for the next set of results. Use the value returned in the previous response in the next request to retrieve the next set of results.</p>
pub fn next_token(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.next_token = ::std::option::Option::Some(input.into());
self
}
/// <p>The token for the next set of results. Use the value returned in the previous response in the next request to retrieve the next set of results.</p>
pub fn set_next_token(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.next_token = input;
self
}
/// <p>The token for the next set of results. Use the value returned in the previous response in the next request to retrieve the next set of results.</p>
pub fn get_next_token(&self) -> &::std::option::Option<::std::string::String> {
&self.next_token
}
/// <p>The maximum number of results to return per page.</p>
pub fn max_results(mut self, input: i32) -> Self {
self.max_results = ::std::option::Option::Some(input);
self
}
/// <p>The maximum number of results to return per page.</p>
pub fn set_max_results(mut self, input: ::std::option::Option<i32>) -> Self {
self.max_results = input;
self
}
/// <p>The maximum number of results to return per page.</p>
pub fn get_max_results(&self) -> &::std::option::Option<i32> {
&self.max_results
}
/// Consumes the builder and constructs a [`ListModelsInput`](crate::operation::list_models::ListModelsInput).
pub fn build(self) -> ::std::result::Result<crate::operation::list_models::ListModelsInput, ::aws_smithy_types::error::operation::BuildError> {
::std::result::Result::Ok(crate::operation::list_models::ListModelsInput {
assistant_id: self.assistant_id,
ai_prompt_type: self.ai_prompt_type,
model_lifecycle: self.model_lifecycle,
next_token: self.next_token,
max_results: self.max_results,
})
}
}