aws_sdk_comprehend/operation/import_model/

builders.rs

// 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()
    }
}