// 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 CreateFlywheelInput {
    /// <p>Name for the flywheel.</p>
    pub flywheel_name: ::std::option::Option<::std::string::String>,
    /// <p>To associate an existing model with the flywheel, specify the Amazon Resource Number (ARN) of the model version. Do not set <code>TaskConfig</code> or <code>ModelType</code> if you specify an <code>ActiveModelArn</code>.</p>
    pub active_model_arn: ::std::option::Option<::std::string::String>,
    /// <p>The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend the permissions required to access the flywheel data in the data lake.</p>
    pub data_access_role_arn: ::std::option::Option<::std::string::String>,
    /// <p>Configuration about the model associated with the flywheel. You need to set <code>TaskConfig</code> if you are creating a flywheel for a new model.</p>
    pub task_config: ::std::option::Option<crate::types::TaskConfig>,
    /// <p>The model type. You need to set <code>ModelType</code> if you are creating a flywheel for a new model.</p>
    pub model_type: ::std::option::Option<crate::types::ModelType>,
    /// <p>Enter the S3 location for the data lake. You can specify a new S3 bucket or a new folder of an existing S3 bucket. The flywheel creates the data lake at this location.</p>
    pub data_lake_s3_uri: ::std::option::Option<::std::string::String>,
    /// <p>Data security configurations.</p>
    pub data_security_config: ::std::option::Option<crate::types::DataSecurityConfig>,
    /// <p>A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.</p>
    pub client_request_token: ::std::option::Option<::std::string::String>,
    /// <p>The tags to associate with this flywheel.</p>
    pub tags: ::std::option::Option<::std::vec::Vec<crate::types::Tag>>,
}
impl CreateFlywheelInput {
    /// <p>Name for the flywheel.</p>
    pub fn flywheel_name(&self) -> ::std::option::Option<&str> {
        self.flywheel_name.as_deref()
    }
    /// <p>To associate an existing model with the flywheel, specify the Amazon Resource Number (ARN) of the model version. Do not set <code>TaskConfig</code> or <code>ModelType</code> if you specify an <code>ActiveModelArn</code>.</p>
    pub fn active_model_arn(&self) -> ::std::option::Option<&str> {
        self.active_model_arn.as_deref()
    }
    /// <p>The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend the permissions required to access the flywheel data in the data lake.</p>
    pub fn data_access_role_arn(&self) -> ::std::option::Option<&str> {
        self.data_access_role_arn.as_deref()
    }
    /// <p>Configuration about the model associated with the flywheel. You need to set <code>TaskConfig</code> if you are creating a flywheel for a new model.</p>
    pub fn task_config(&self) -> ::std::option::Option<&crate::types::TaskConfig> {
        self.task_config.as_ref()
    }
    /// <p>The model type. You need to set <code>ModelType</code> if you are creating a flywheel for a new model.</p>
    pub fn model_type(&self) -> ::std::option::Option<&crate::types::ModelType> {
        self.model_type.as_ref()
    }
    /// <p>Enter the S3 location for the data lake. You can specify a new S3 bucket or a new folder of an existing S3 bucket. The flywheel creates the data lake at this location.</p>
    pub fn data_lake_s3_uri(&self) -> ::std::option::Option<&str> {
        self.data_lake_s3_uri.as_deref()
    }
    /// <p>Data security configurations.</p>
    pub fn data_security_config(&self) -> ::std::option::Option<&crate::types::DataSecurityConfig> {
        self.data_security_config.as_ref()
    }
    /// <p>A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.</p>
    pub fn client_request_token(&self) -> ::std::option::Option<&str> {
        self.client_request_token.as_deref()
    }
    /// <p>The tags to associate with this flywheel.</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 CreateFlywheelInput {
    /// Creates a new builder-style object to manufacture [`CreateFlywheelInput`](crate::operation::create_flywheel::CreateFlywheelInput).
    pub fn builder() -> crate::operation::create_flywheel::builders::CreateFlywheelInputBuilder {
        crate::operation::create_flywheel::builders::CreateFlywheelInputBuilder::default()
    }
}

/// A builder for [`CreateFlywheelInput`](crate::operation::create_flywheel::CreateFlywheelInput).
#[non_exhaustive]
#[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::default::Default, ::std::fmt::Debug)]
pub struct CreateFlywheelInputBuilder {
    pub(crate) flywheel_name: ::std::option::Option<::std::string::String>,
    pub(crate) active_model_arn: ::std::option::Option<::std::string::String>,
    pub(crate) data_access_role_arn: ::std::option::Option<::std::string::String>,
    pub(crate) task_config: ::std::option::Option<crate::types::TaskConfig>,
    pub(crate) model_type: ::std::option::Option<crate::types::ModelType>,
    pub(crate) data_lake_s3_uri: ::std::option::Option<::std::string::String>,
    pub(crate) data_security_config: ::std::option::Option<crate::types::DataSecurityConfig>,
    pub(crate) client_request_token: ::std::option::Option<::std::string::String>,
    pub(crate) tags: ::std::option::Option<::std::vec::Vec<crate::types::Tag>>,
}
impl CreateFlywheelInputBuilder {
    /// <p>Name for the flywheel.</p>
    /// This field is required.
    pub fn flywheel_name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.flywheel_name = ::std::option::Option::Some(input.into());
        self
    }
    /// <p>Name for the flywheel.</p>
    pub fn set_flywheel_name(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.flywheel_name = input;
        self
    }
    /// <p>Name for the flywheel.</p>
    pub fn get_flywheel_name(&self) -> &::std::option::Option<::std::string::String> {
        &self.flywheel_name
    }
    /// <p>To associate an existing model with the flywheel, specify the Amazon Resource Number (ARN) of the model version. Do not set <code>TaskConfig</code> or <code>ModelType</code> if you specify an <code>ActiveModelArn</code>.</p>
    pub fn active_model_arn(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.active_model_arn = ::std::option::Option::Some(input.into());
        self
    }
    /// <p>To associate an existing model with the flywheel, specify the Amazon Resource Number (ARN) of the model version. Do not set <code>TaskConfig</code> or <code>ModelType</code> if you specify an <code>ActiveModelArn</code>.</p>
    pub fn set_active_model_arn(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.active_model_arn = input;
        self
    }
    /// <p>To associate an existing model with the flywheel, specify the Amazon Resource Number (ARN) of the model version. Do not set <code>TaskConfig</code> or <code>ModelType</code> if you specify an <code>ActiveModelArn</code>.</p>
    pub fn get_active_model_arn(&self) -> &::std::option::Option<::std::string::String> {
        &self.active_model_arn
    }
    /// <p>The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend the permissions required to access the flywheel data in the data lake.</p>
    /// This field is required.
    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 the permissions required to access the flywheel data in the data lake.</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 the permissions required to access the flywheel data in the data lake.</p>
    pub fn get_data_access_role_arn(&self) -> &::std::option::Option<::std::string::String> {
        &self.data_access_role_arn
    }
    /// <p>Configuration about the model associated with the flywheel. You need to set <code>TaskConfig</code> if you are creating a flywheel for a new model.</p>
    pub fn task_config(mut self, input: crate::types::TaskConfig) -> Self {
        self.task_config = ::std::option::Option::Some(input);
        self
    }
    /// <p>Configuration about the model associated with the flywheel. You need to set <code>TaskConfig</code> if you are creating a flywheel for a new model.</p>
    pub fn set_task_config(mut self, input: ::std::option::Option<crate::types::TaskConfig>) -> Self {
        self.task_config = input;
        self
    }
    /// <p>Configuration about the model associated with the flywheel. You need to set <code>TaskConfig</code> if you are creating a flywheel for a new model.</p>
    pub fn get_task_config(&self) -> &::std::option::Option<crate::types::TaskConfig> {
        &self.task_config
    }
    /// <p>The model type. You need to set <code>ModelType</code> if you are creating a flywheel for a new model.</p>
    pub fn model_type(mut self, input: crate::types::ModelType) -> Self {
        self.model_type = ::std::option::Option::Some(input);
        self
    }
    /// <p>The model type. You need to set <code>ModelType</code> if you are creating a flywheel for a new model.</p>
    pub fn set_model_type(mut self, input: ::std::option::Option<crate::types::ModelType>) -> Self {
        self.model_type = input;
        self
    }
    /// <p>The model type. You need to set <code>ModelType</code> if you are creating a flywheel for a new model.</p>
    pub fn get_model_type(&self) -> &::std::option::Option<crate::types::ModelType> {
        &self.model_type
    }
    /// <p>Enter the S3 location for the data lake. You can specify a new S3 bucket or a new folder of an existing S3 bucket. The flywheel creates the data lake at this location.</p>
    /// This field is required.
    pub fn data_lake_s3_uri(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.data_lake_s3_uri = ::std::option::Option::Some(input.into());
        self
    }
    /// <p>Enter the S3 location for the data lake. You can specify a new S3 bucket or a new folder of an existing S3 bucket. The flywheel creates the data lake at this location.</p>
    pub fn set_data_lake_s3_uri(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.data_lake_s3_uri = input;
        self
    }
    /// <p>Enter the S3 location for the data lake. You can specify a new S3 bucket or a new folder of an existing S3 bucket. The flywheel creates the data lake at this location.</p>
    pub fn get_data_lake_s3_uri(&self) -> &::std::option::Option<::std::string::String> {
        &self.data_lake_s3_uri
    }
    /// <p>Data security configurations.</p>
    pub fn data_security_config(mut self, input: crate::types::DataSecurityConfig) -> Self {
        self.data_security_config = ::std::option::Option::Some(input);
        self
    }
    /// <p>Data security configurations.</p>
    pub fn set_data_security_config(mut self, input: ::std::option::Option<crate::types::DataSecurityConfig>) -> Self {
        self.data_security_config = input;
        self
    }
    /// <p>Data security configurations.</p>
    pub fn get_data_security_config(&self) -> &::std::option::Option<crate::types::DataSecurityConfig> {
        &self.data_security_config
    }
    /// <p>A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.</p>
    pub fn client_request_token(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.client_request_token = ::std::option::Option::Some(input.into());
        self
    }
    /// <p>A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.</p>
    pub fn set_client_request_token(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.client_request_token = input;
        self
    }
    /// <p>A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.</p>
    pub fn get_client_request_token(&self) -> &::std::option::Option<::std::string::String> {
        &self.client_request_token
    }
    /// Appends an item to `tags`.
    ///
    /// To override the contents of this collection use [`set_tags`](Self::set_tags).
    ///
    /// <p>The tags to associate with this flywheel.</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>The tags to associate with this flywheel.</p>
    pub fn set_tags(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::Tag>>) -> Self {
        self.tags = input;
        self
    }
    /// <p>The tags to associate with this flywheel.</p>
    pub fn get_tags(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::Tag>> {
        &self.tags
    }
    /// Consumes the builder and constructs a [`CreateFlywheelInput`](crate::operation::create_flywheel::CreateFlywheelInput).
    pub fn build(
        self,
    ) -> ::std::result::Result<crate::operation::create_flywheel::CreateFlywheelInput, ::aws_smithy_types::error::operation::BuildError> {
        ::std::result::Result::Ok(crate::operation::create_flywheel::CreateFlywheelInput {
            flywheel_name: self.flywheel_name,
            active_model_arn: self.active_model_arn,
            data_access_role_arn: self.data_access_role_arn,
            task_config: self.task_config,
            model_type: self.model_type,
            data_lake_s3_uri: self.data_lake_s3_uri,
            data_security_config: self.data_security_config,
            client_request_token: self.client_request_token,
            tags: self.tags,
        })
    }
}