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// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
pub use crate::operation::create_dataset::_create_dataset_output::CreateDatasetOutputBuilder;

pub use crate::operation::create_dataset::_create_dataset_input::CreateDatasetInputBuilder;

impl CreateDatasetInputBuilder {
    /// Sends a request with this input using the given client.
    pub async fn send_with(
        self,
        client: &crate::Client,
    ) -> ::std::result::Result<
        crate::operation::create_dataset::CreateDatasetOutput,
        ::aws_smithy_runtime_api::client::result::SdkError<
            crate::operation::create_dataset::CreateDatasetError,
            ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
        >,
    > {
        let mut fluent_builder = client.create_dataset();
        fluent_builder.inner = self;
        fluent_builder.send().await
    }
}
/// Fluent builder constructing a request to `CreateDataset`.
///
/// <p>Creates a new dataset in an Amazon Lookout for Vision project. <code>CreateDataset</code> can create a training or a test dataset from a valid dataset source (<code>DatasetSource</code>).</p>
/// <p>If you want a single dataset project, specify <code>train</code> for the value of <code>DatasetType</code>.</p>
/// <p>To have a project with separate training and test datasets, call <code>CreateDataset</code> twice. On the first call, specify <code>train</code> for the value of <code>DatasetType</code>. On the second call, specify <code>test</code> for the value of <code>DatasetType</code>.</p>
/// <p>This operation requires permissions to perform the <code>lookoutvision:CreateDataset</code> operation.</p>
#[derive(::std::clone::Clone, ::std::fmt::Debug)]
pub struct CreateDatasetFluentBuilder {
    handle: ::std::sync::Arc<crate::client::Handle>,
    inner: crate::operation::create_dataset::builders::CreateDatasetInputBuilder,
    config_override: ::std::option::Option<crate::config::Builder>,
}
impl
    crate::client::customize::internal::CustomizableSend<
        crate::operation::create_dataset::CreateDatasetOutput,
        crate::operation::create_dataset::CreateDatasetError,
    > for CreateDatasetFluentBuilder
{
    fn send(
        self,
        config_override: crate::config::Builder,
    ) -> crate::client::customize::internal::BoxFuture<
        crate::client::customize::internal::SendResult<
            crate::operation::create_dataset::CreateDatasetOutput,
            crate::operation::create_dataset::CreateDatasetError,
        >,
    > {
        ::std::boxed::Box::pin(async move { self.config_override(config_override).send().await })
    }
}
impl CreateDatasetFluentBuilder {
    /// Creates a new `CreateDataset`.
    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 CreateDataset as a reference.
    pub fn as_input(&self) -> &crate::operation::create_dataset::builders::CreateDatasetInputBuilder {
        &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::create_dataset::CreateDatasetOutput,
        ::aws_smithy_runtime_api::client::result::SdkError<
            crate::operation::create_dataset::CreateDatasetError,
            ::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::create_dataset::CreateDataset::operation_runtime_plugins(
            self.handle.runtime_plugins.clone(),
            &self.handle.conf,
            self.config_override,
        );
        crate::operation::create_dataset::CreateDataset::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::create_dataset::CreateDatasetOutput,
        crate::operation::create_dataset::CreateDatasetError,
        Self,
    > {
        crate::client::customize::CustomizableOperation::new(self)
    }
    pub(crate) fn config_override(mut self, config_override: impl Into<crate::config::Builder>) -> Self {
        self.set_config_override(Some(config_override.into()));
        self
    }

    pub(crate) fn set_config_override(&mut self, config_override: Option<crate::config::Builder>) -> &mut Self {
        self.config_override = config_override;
        self
    }
    /// <p>The name of the project in which you want to create a dataset.</p>
    pub fn project_name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.project_name(input.into());
        self
    }
    /// <p>The name of the project in which you want to create a dataset.</p>
    pub fn set_project_name(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_project_name(input);
        self
    }
    /// <p>The name of the project in which you want to create a dataset.</p>
    pub fn get_project_name(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_project_name()
    }
    /// <p>The type of the dataset. Specify <code>train</code> for a training dataset. Specify <code>test</code> for a test dataset.</p>
    pub fn dataset_type(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.dataset_type(input.into());
        self
    }
    /// <p>The type of the dataset. Specify <code>train</code> for a training dataset. Specify <code>test</code> for a test dataset.</p>
    pub fn set_dataset_type(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_dataset_type(input);
        self
    }
    /// <p>The type of the dataset. Specify <code>train</code> for a training dataset. Specify <code>test</code> for a test dataset.</p>
    pub fn get_dataset_type(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_dataset_type()
    }
    /// <p>The location of the manifest file that Amazon Lookout for Vision uses to create the dataset.</p>
    /// <p>If you don't specify <code>DatasetSource</code>, an empty dataset is created and the operation synchronously returns. Later, you can add JSON Lines by calling <code>UpdateDatasetEntries</code>.</p>
    /// <p>If you specify a value for <code>DataSource</code>, the manifest at the S3 location is validated and used to create the dataset. The call to <code>CreateDataset</code> is asynchronous and might take a while to complete. To find out the current status, Check the value of <code>Status</code> returned in a call to <code>DescribeDataset</code>.</p>
    pub fn dataset_source(mut self, input: crate::types::DatasetSource) -> Self {
        self.inner = self.inner.dataset_source(input);
        self
    }
    /// <p>The location of the manifest file that Amazon Lookout for Vision uses to create the dataset.</p>
    /// <p>If you don't specify <code>DatasetSource</code>, an empty dataset is created and the operation synchronously returns. Later, you can add JSON Lines by calling <code>UpdateDatasetEntries</code>.</p>
    /// <p>If you specify a value for <code>DataSource</code>, the manifest at the S3 location is validated and used to create the dataset. The call to <code>CreateDataset</code> is asynchronous and might take a while to complete. To find out the current status, Check the value of <code>Status</code> returned in a call to <code>DescribeDataset</code>.</p>
    pub fn set_dataset_source(mut self, input: ::std::option::Option<crate::types::DatasetSource>) -> Self {
        self.inner = self.inner.set_dataset_source(input);
        self
    }
    /// <p>The location of the manifest file that Amazon Lookout for Vision uses to create the dataset.</p>
    /// <p>If you don't specify <code>DatasetSource</code>, an empty dataset is created and the operation synchronously returns. Later, you can add JSON Lines by calling <code>UpdateDatasetEntries</code>.</p>
    /// <p>If you specify a value for <code>DataSource</code>, the manifest at the S3 location is validated and used to create the dataset. The call to <code>CreateDataset</code> is asynchronous and might take a while to complete. To find out the current status, Check the value of <code>Status</code> returned in a call to <code>DescribeDataset</code>.</p>
    pub fn get_dataset_source(&self) -> &::std::option::Option<crate::types::DatasetSource> {
        self.inner.get_dataset_source()
    }
    /// <p>ClientToken is an idempotency token that ensures a call to <code>CreateDataset</code> completes only once. You choose the value to pass. For example, An issue might prevent you from getting a response from <code>CreateDataset</code>. In this case, safely retry your call to <code>CreateDataset</code> by using the same <code>ClientToken</code> parameter value.</p>
    /// <p>If you don't supply a value for <code>ClientToken</code>, the AWS SDK you are using inserts a value for you. This prevents retries after a network error from making multiple dataset creation requests. You'll need to provide your own value for other use cases.</p>
    /// <p>An error occurs if the other input parameters are not the same as in the first request. Using a different value for <code>ClientToken</code> is considered a new call to <code>CreateDataset</code>. An idempotency token is active for 8 hours.</p>
    pub fn client_token(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.client_token(input.into());
        self
    }
    /// <p>ClientToken is an idempotency token that ensures a call to <code>CreateDataset</code> completes only once. You choose the value to pass. For example, An issue might prevent you from getting a response from <code>CreateDataset</code>. In this case, safely retry your call to <code>CreateDataset</code> by using the same <code>ClientToken</code> parameter value.</p>
    /// <p>If you don't supply a value for <code>ClientToken</code>, the AWS SDK you are using inserts a value for you. This prevents retries after a network error from making multiple dataset creation requests. You'll need to provide your own value for other use cases.</p>
    /// <p>An error occurs if the other input parameters are not the same as in the first request. Using a different value for <code>ClientToken</code> is considered a new call to <code>CreateDataset</code>. An idempotency token is active for 8 hours.</p>
    pub fn set_client_token(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_client_token(input);
        self
    }
    /// <p>ClientToken is an idempotency token that ensures a call to <code>CreateDataset</code> completes only once. You choose the value to pass. For example, An issue might prevent you from getting a response from <code>CreateDataset</code>. In this case, safely retry your call to <code>CreateDataset</code> by using the same <code>ClientToken</code> parameter value.</p>
    /// <p>If you don't supply a value for <code>ClientToken</code>, the AWS SDK you are using inserts a value for you. This prevents retries after a network error from making multiple dataset creation requests. You'll need to provide your own value for other use cases.</p>
    /// <p>An error occurs if the other input parameters are not the same as in the first request. Using a different value for <code>ClientToken</code> is considered a new call to <code>CreateDataset</code>. An idempotency token is active for 8 hours.</p>
    pub fn get_client_token(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_client_token()
    }
}