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// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
pub use crate::operation::import_model::_import_model_output::ImportModelOutputBuilder;
pub use crate::operation::import_model::_import_model_input::ImportModelInputBuilder;
impl crate::operation::import_model::builders::ImportModelInputBuilder {
/// Sends a request with this input using the given client.
pub async fn send_with(
self,
client: &crate::Client,
) -> ::std::result::Result<
crate::operation::import_model::ImportModelOutput,
::aws_smithy_runtime_api::client::result::SdkError<
crate::operation::import_model::ImportModelError,
::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
>,
> {
let mut fluent_builder = client.import_model();
fluent_builder.inner = self;
fluent_builder.send().await
}
}
/// Fluent builder constructing a request to `ImportModel`.
///
/// <p>Creates a new custom model that replicates a source custom model that you import. The source model can be in your Amazon Web Services account or another one.</p>
/// <p>If the source model is in another Amazon Web Services account, then it must have a resource-based policy that authorizes you to import it.</p>
/// <p>The source model must be in the same Amazon Web Services Region that you're using when you import. You can't import a model that's in a different Region.</p>
#[derive(::std::clone::Clone, ::std::fmt::Debug)]
pub struct ImportModelFluentBuilder {
handle: ::std::sync::Arc<crate::client::Handle>,
inner: crate::operation::import_model::builders::ImportModelInputBuilder,
config_override: ::std::option::Option<crate::config::Builder>,
}
impl
crate::client::customize::internal::CustomizableSend<
crate::operation::import_model::ImportModelOutput,
crate::operation::import_model::ImportModelError,
> for ImportModelFluentBuilder
{
fn send(
self,
config_override: crate::config::Builder,
) -> crate::client::customize::internal::BoxFuture<
crate::client::customize::internal::SendResult<
crate::operation::import_model::ImportModelOutput,
crate::operation::import_model::ImportModelError,
>,
> {
::std::boxed::Box::pin(async move { self.config_override(config_override).send().await })
}
}
impl ImportModelFluentBuilder {
/// Creates a new `ImportModelFluentBuilder`.
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 ImportModel as a reference.
pub fn as_input(&self) -> &crate::operation::import_model::builders::ImportModelInputBuilder {
&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::import_model::ImportModelOutput,
::aws_smithy_runtime_api::client::result::SdkError<
crate::operation::import_model::ImportModelError,
::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::import_model::ImportModel::operation_runtime_plugins(
self.handle.runtime_plugins.clone(),
&self.handle.conf,
self.config_override,
);
crate::operation::import_model::ImportModel::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::import_model::ImportModelOutput,
crate::operation::import_model::ImportModelError,
Self,
> {
crate::client::customize::CustomizableOperation::new(self)
}
pub(crate) fn config_override(mut self, config_override: impl ::std::convert::Into<crate::config::Builder>) -> Self {
self.set_config_override(::std::option::Option::Some(config_override.into()));
self
}
pub(crate) fn set_config_override(&mut self, config_override: ::std::option::Option<crate::config::Builder>) -> &mut Self {
self.config_override = config_override;
self
}
/// <p>The Amazon Resource Name (ARN) of the custom model to import.</p>
pub fn source_model_arn(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inner = self.inner.source_model_arn(input.into());
self
}
/// <p>The Amazon Resource Name (ARN) of the custom model to import.</p>
pub fn set_source_model_arn(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.inner = self.inner.set_source_model_arn(input);
self
}
/// <p>The Amazon Resource Name (ARN) of the custom model to import.</p>
pub fn get_source_model_arn(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_source_model_arn()
}
/// <p>The name to assign to the custom model that is created in Amazon Comprehend by this import.</p>
pub fn model_name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inner = self.inner.model_name(input.into());
self
}
/// <p>The name to assign to the custom model that is created in Amazon Comprehend by this import.</p>
pub fn set_model_name(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.inner = self.inner.set_model_name(input);
self
}
/// <p>The name to assign to the custom model that is created in Amazon Comprehend by this import.</p>
pub fn get_model_name(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_model_name()
}
/// <p>The version name given to the custom model that is created by this import. Version names can have a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The version name must be unique among all models with the same classifier name in the account/Region.</p>
pub fn version_name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inner = self.inner.version_name(input.into());
self
}
/// <p>The version name given to the custom model that is created by this import. Version names can have a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The version name must be unique among all models with the same classifier name in the account/Region.</p>
pub fn set_version_name(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.inner = self.inner.set_version_name(input);
self
}
/// <p>The version name given to the custom model that is created by this import. Version names can have a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The version name must be unique among all models with the same classifier name in the account/Region.</p>
pub fn get_version_name(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_version_name()
}
/// <p>ID for the KMS key that Amazon Comprehend uses to encrypt trained custom models. The ModelKmsKeyId can be either of the following formats:</p>
/// <ul>
/// <li>
/// <p>KMS Key ID: <code>"1234abcd-12ab-34cd-56ef-1234567890ab"</code></p></li>
/// <li>
/// <p>Amazon Resource Name (ARN) of a KMS Key: <code>"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"</code></p></li>
/// </ul>
pub fn model_kms_key_id(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inner = self.inner.model_kms_key_id(input.into());
self
}
/// <p>ID for the KMS key that Amazon Comprehend uses to encrypt trained custom models. The ModelKmsKeyId can be either of the following formats:</p>
/// <ul>
/// <li>
/// <p>KMS Key ID: <code>"1234abcd-12ab-34cd-56ef-1234567890ab"</code></p></li>
/// <li>
/// <p>Amazon Resource Name (ARN) of a KMS Key: <code>"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"</code></p></li>
/// </ul>
pub fn set_model_kms_key_id(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.inner = self.inner.set_model_kms_key_id(input);
self
}
/// <p>ID for the KMS key that Amazon Comprehend uses to encrypt trained custom models. The ModelKmsKeyId can be either of the following formats:</p>
/// <ul>
/// <li>
/// <p>KMS Key ID: <code>"1234abcd-12ab-34cd-56ef-1234567890ab"</code></p></li>
/// <li>
/// <p>Amazon Resource Name (ARN) of a KMS Key: <code>"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"</code></p></li>
/// </ul>
pub fn get_model_kms_key_id(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_model_kms_key_id()
}
/// <p>The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend permission to use Amazon Key Management Service (KMS) to encrypt or decrypt the custom model.</p>
pub fn data_access_role_arn(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inner = self.inner.data_access_role_arn(input.into());
self
}
/// <p>The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend permission to use Amazon Key Management Service (KMS) to encrypt or decrypt the custom model.</p>
pub fn set_data_access_role_arn(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.inner = self.inner.set_data_access_role_arn(input);
self
}
/// <p>The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend permission to use Amazon Key Management Service (KMS) to encrypt or decrypt the custom model.</p>
pub fn get_data_access_role_arn(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_data_access_role_arn()
}
///
/// Appends an item to `Tags`.
///
/// To override the contents of this collection use [`set_tags`](Self::set_tags).
///
/// <p>Tags to associate with the custom model that is created by this import. A tag is a key-value pair that adds as a metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.</p>
pub fn tags(mut self, input: crate::types::Tag) -> Self {
self.inner = self.inner.tags(input);
self
}
/// <p>Tags to associate with the custom model that is created by this import. A tag is a key-value pair that adds as a metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.</p>
pub fn set_tags(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::Tag>>) -> Self {
self.inner = self.inner.set_tags(input);
self
}
/// <p>Tags to associate with the custom model that is created by this import. A tag is a key-value pair that adds as a metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.</p>
pub fn get_tags(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::Tag>> {
self.inner.get_tags()
}
}