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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 ImportModelInput {
/// <p>The Amazon Resource Name (ARN) of the custom model to import.</p>
pub source_model_arn: ::std::option::Option<::std::string::String>,
/// <p>The name to assign to the custom model that is created in Amazon Comprehend by this import.</p>
pub model_name: ::std::option::Option<::std::string::String>,
/// <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 version_name: ::std::option::Option<::std::string::String>,
/// <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 model_kms_key_id: ::std::option::Option<::std::string::String>,
/// <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 data_access_role_arn: ::std::option::Option<::std::string::String>,
/// <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 tags: ::std::option::Option<::std::vec::Vec<crate::types::Tag>>,
}
impl ImportModelInput {
/// <p>The Amazon Resource Name (ARN) of the custom model to import.</p>
pub fn source_model_arn(&self) -> ::std::option::Option<&str> {
self.source_model_arn.as_deref()
}
/// <p>The name to assign to the custom model that is created in Amazon Comprehend by this import.</p>
pub fn model_name(&self) -> ::std::option::Option<&str> {
self.model_name.as_deref()
}
/// <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(&self) -> ::std::option::Option<&str> {
self.version_name.as_deref()
}
/// <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(&self) -> ::std::option::Option<&str> {
self.model_kms_key_id.as_deref()
}
/// <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(&self) -> ::std::option::Option<&str> {
self.data_access_role_arn.as_deref()
}
/// <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>
///
/// 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 ImportModelInput {
/// Creates a new builder-style object to manufacture [`ImportModelInput`](crate::operation::import_model::ImportModelInput).
pub fn builder() -> crate::operation::import_model::builders::ImportModelInputBuilder {
crate::operation::import_model::builders::ImportModelInputBuilder::default()
}
}
/// A builder for [`ImportModelInput`](crate::operation::import_model::ImportModelInput).
#[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::default::Default, ::std::fmt::Debug)]
#[non_exhaustive]
pub struct ImportModelInputBuilder {
pub(crate) source_model_arn: ::std::option::Option<::std::string::String>,
pub(crate) model_name: ::std::option::Option<::std::string::String>,
pub(crate) version_name: ::std::option::Option<::std::string::String>,
pub(crate) model_kms_key_id: ::std::option::Option<::std::string::String>,
pub(crate) data_access_role_arn: ::std::option::Option<::std::string::String>,
pub(crate) tags: ::std::option::Option<::std::vec::Vec<crate::types::Tag>>,
}
impl ImportModelInputBuilder {
/// <p>The Amazon Resource Name (ARN) of the custom model to import.</p>
/// This field is required.
pub fn source_model_arn(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.source_model_arn = ::std::option::Option::Some(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.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.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.model_name = ::std::option::Option::Some(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.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.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.version_name = ::std::option::Option::Some(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.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.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.model_kms_key_id = ::std::option::Option::Some(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.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.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.data_access_role_arn = ::std::option::Option::Some(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.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.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 {
let mut v = self.tags.unwrap_or_default();
v.push(input);
self.tags = ::std::option::Option::Some(v);
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.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.tags
}
/// Consumes the builder and constructs a [`ImportModelInput`](crate::operation::import_model::ImportModelInput).
pub fn build(self) -> ::std::result::Result<crate::operation::import_model::ImportModelInput, ::aws_smithy_types::error::operation::BuildError> {
::std::result::Result::Ok(crate::operation::import_model::ImportModelInput {
source_model_arn: self.source_model_arn,
model_name: self.model_name,
version_name: self.version_name,
model_kms_key_id: self.model_kms_key_id,
data_access_role_arn: self.data_access_role_arn,
tags: self.tags,
})
}
}