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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 CreateInferenceComponentInput {
/// <p>A unique name to assign to the inference component.</p>
pub inference_component_name: ::std::option::Option<::std::string::String>,
/// <p>The name of an existing endpoint where you host the inference component.</p>
pub endpoint_name: ::std::option::Option<::std::string::String>,
/// <p>The name of an existing production variant where you host the inference component.</p>
pub variant_name: ::std::option::Option<::std::string::String>,
/// <p>Details about the resources to deploy with this inference component, including the model, container, and compute resources.</p>
pub specification: ::std::option::Option<crate::types::InferenceComponentSpecification>,
/// <p>Runtime settings for a model that is deployed with an inference component.</p>
pub runtime_config: ::std::option::Option<crate::types::InferenceComponentRuntimeConfig>,
/// <p>A list of key-value pairs associated with the model. For more information, see <a href="https://docs.aws.amazon.com/general/latest/gr/aws_tagging.html">Tagging Amazon Web Services resources</a> in the <i>Amazon Web Services General Reference</i>.</p>
pub tags: ::std::option::Option<::std::vec::Vec<crate::types::Tag>>,
}
impl CreateInferenceComponentInput {
/// <p>A unique name to assign to the inference component.</p>
pub fn inference_component_name(&self) -> ::std::option::Option<&str> {
self.inference_component_name.as_deref()
}
/// <p>The name of an existing endpoint where you host the inference component.</p>
pub fn endpoint_name(&self) -> ::std::option::Option<&str> {
self.endpoint_name.as_deref()
}
/// <p>The name of an existing production variant where you host the inference component.</p>
pub fn variant_name(&self) -> ::std::option::Option<&str> {
self.variant_name.as_deref()
}
/// <p>Details about the resources to deploy with this inference component, including the model, container, and compute resources.</p>
pub fn specification(&self) -> ::std::option::Option<&crate::types::InferenceComponentSpecification> {
self.specification.as_ref()
}
/// <p>Runtime settings for a model that is deployed with an inference component.</p>
pub fn runtime_config(&self) -> ::std::option::Option<&crate::types::InferenceComponentRuntimeConfig> {
self.runtime_config.as_ref()
}
/// <p>A list of key-value pairs associated with the model. For more information, see <a href="https://docs.aws.amazon.com/general/latest/gr/aws_tagging.html">Tagging Amazon Web Services resources</a> in the <i>Amazon Web Services General Reference</i>.</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 `.tags.is_none()`.
pub fn tags(&self) -> &[crate::types::Tag] {
self.tags.as_deref().unwrap_or_default()
}
}
impl CreateInferenceComponentInput {
/// Creates a new builder-style object to manufacture [`CreateInferenceComponentInput`](crate::operation::create_inference_component::CreateInferenceComponentInput).
pub fn builder() -> crate::operation::create_inference_component::builders::CreateInferenceComponentInputBuilder {
crate::operation::create_inference_component::builders::CreateInferenceComponentInputBuilder::default()
}
}
/// A builder for [`CreateInferenceComponentInput`](crate::operation::create_inference_component::CreateInferenceComponentInput).
#[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::default::Default, ::std::fmt::Debug)]
#[non_exhaustive]
pub struct CreateInferenceComponentInputBuilder {
pub(crate) inference_component_name: ::std::option::Option<::std::string::String>,
pub(crate) endpoint_name: ::std::option::Option<::std::string::String>,
pub(crate) variant_name: ::std::option::Option<::std::string::String>,
pub(crate) specification: ::std::option::Option<crate::types::InferenceComponentSpecification>,
pub(crate) runtime_config: ::std::option::Option<crate::types::InferenceComponentRuntimeConfig>,
pub(crate) tags: ::std::option::Option<::std::vec::Vec<crate::types::Tag>>,
}
impl CreateInferenceComponentInputBuilder {
/// <p>A unique name to assign to the inference component.</p>
/// This field is required.
pub fn inference_component_name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inference_component_name = ::std::option::Option::Some(input.into());
self
}
/// <p>A unique name to assign to the inference component.</p>
pub fn set_inference_component_name(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.inference_component_name = input;
self
}
/// <p>A unique name to assign to the inference component.</p>
pub fn get_inference_component_name(&self) -> &::std::option::Option<::std::string::String> {
&self.inference_component_name
}
/// <p>The name of an existing endpoint where you host the inference component.</p>
/// This field is required.
pub fn endpoint_name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.endpoint_name = ::std::option::Option::Some(input.into());
self
}
/// <p>The name of an existing endpoint where you host the inference component.</p>
pub fn set_endpoint_name(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.endpoint_name = input;
self
}
/// <p>The name of an existing endpoint where you host the inference component.</p>
pub fn get_endpoint_name(&self) -> &::std::option::Option<::std::string::String> {
&self.endpoint_name
}
/// <p>The name of an existing production variant where you host the inference component.</p>
pub fn variant_name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.variant_name = ::std::option::Option::Some(input.into());
self
}
/// <p>The name of an existing production variant where you host the inference component.</p>
pub fn set_variant_name(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.variant_name = input;
self
}
/// <p>The name of an existing production variant where you host the inference component.</p>
pub fn get_variant_name(&self) -> &::std::option::Option<::std::string::String> {
&self.variant_name
}
/// <p>Details about the resources to deploy with this inference component, including the model, container, and compute resources.</p>
pub fn specification(mut self, input: crate::types::InferenceComponentSpecification) -> Self {
self.specification = ::std::option::Option::Some(input);
self
}
/// <p>Details about the resources to deploy with this inference component, including the model, container, and compute resources.</p>
pub fn set_specification(mut self, input: ::std::option::Option<crate::types::InferenceComponentSpecification>) -> Self {
self.specification = input;
self
}
/// <p>Details about the resources to deploy with this inference component, including the model, container, and compute resources.</p>
pub fn get_specification(&self) -> &::std::option::Option<crate::types::InferenceComponentSpecification> {
&self.specification
}
/// <p>Runtime settings for a model that is deployed with an inference component.</p>
pub fn runtime_config(mut self, input: crate::types::InferenceComponentRuntimeConfig) -> Self {
self.runtime_config = ::std::option::Option::Some(input);
self
}
/// <p>Runtime settings for a model that is deployed with an inference component.</p>
pub fn set_runtime_config(mut self, input: ::std::option::Option<crate::types::InferenceComponentRuntimeConfig>) -> Self {
self.runtime_config = input;
self
}
/// <p>Runtime settings for a model that is deployed with an inference component.</p>
pub fn get_runtime_config(&self) -> &::std::option::Option<crate::types::InferenceComponentRuntimeConfig> {
&self.runtime_config
}
/// Appends an item to `tags`.
///
/// To override the contents of this collection use [`set_tags`](Self::set_tags).
///
/// <p>A list of key-value pairs associated with the model. For more information, see <a href="https://docs.aws.amazon.com/general/latest/gr/aws_tagging.html">Tagging Amazon Web Services resources</a> in the <i>Amazon Web Services General Reference</i>.</p>
pub fn tags(mut self, input: crate::types::Tag) -> Self {
let mut v = self.tags.unwrap_or_default();
v.push(input);
self.tags = ::std::option::Option::Some(v);
self
}
/// <p>A list of key-value pairs associated with the model. For more information, see <a href="https://docs.aws.amazon.com/general/latest/gr/aws_tagging.html">Tagging Amazon Web Services resources</a> in the <i>Amazon Web Services General Reference</i>.</p>
pub fn set_tags(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::Tag>>) -> Self {
self.tags = input;
self
}
/// <p>A list of key-value pairs associated with the model. For more information, see <a href="https://docs.aws.amazon.com/general/latest/gr/aws_tagging.html">Tagging Amazon Web Services resources</a> in the <i>Amazon Web Services General Reference</i>.</p>
pub fn get_tags(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::Tag>> {
&self.tags
}
/// Consumes the builder and constructs a [`CreateInferenceComponentInput`](crate::operation::create_inference_component::CreateInferenceComponentInput).
pub fn build(
self,
) -> ::std::result::Result<
crate::operation::create_inference_component::CreateInferenceComponentInput,
::aws_smithy_types::error::operation::BuildError,
> {
::std::result::Result::Ok(crate::operation::create_inference_component::CreateInferenceComponentInput {
inference_component_name: self.inference_component_name,
endpoint_name: self.endpoint_name,
variant_name: self.variant_name,
specification: self.specification,
runtime_config: self.runtime_config,
tags: self.tags,
})
}
}