// 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 an empty dataset and adds it to the specified dataset group. Use <a href="https://docs.aws.amazon.com/personalize/latest/dg/API_CreateDatasetImportJob.html">CreateDatasetImportJob</a> to import your training data to a dataset.</p>
/// <p>There are three types of datasets:</p>
/// <ul>
/// <li> <p>Interactions</p> </li>
/// <li> <p>Items</p> </li>
/// <li> <p>Users</p> </li>
/// </ul>
/// <p>Each dataset type has an associated schema with required field types. Only the <code>Interactions</code> dataset is required in order to train a model (also referred to as creating a solution).</p>
/// <p>A dataset can be in one of the following states:</p>
/// <ul>
/// <li> <p>CREATE PENDING &gt; CREATE IN_PROGRESS &gt; ACTIVE -or- CREATE FAILED</p> </li>
/// <li> <p>DELETE PENDING &gt; DELETE IN_PROGRESS</p> </li>
/// </ul>
/// <p>To get the status of the dataset, call <a href="https://docs.aws.amazon.com/personalize/latest/dg/API_DescribeDataset.html">DescribeDataset</a>.</p>
/// <p class="title"> <b>Related APIs</b> </p>
/// <ul>
/// <li> <p> <a href="https://docs.aws.amazon.com/personalize/latest/dg/API_CreateDatasetGroup.html">CreateDatasetGroup</a> </p> </li>
/// <li> <p> <a href="https://docs.aws.amazon.com/personalize/latest/dg/API_ListDatasets.html">ListDatasets</a> </p> </li>
/// <li> <p> <a href="https://docs.aws.amazon.com/personalize/latest/dg/API_DescribeDataset.html">DescribeDataset</a> </p> </li>
/// <li> <p> <a href="https://docs.aws.amazon.com/personalize/latest/dg/API_DeleteDataset.html">DeleteDataset</a> </p> </li>
/// </ul>
#[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 for the dataset.</p>
    pub fn name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.name(input.into());
        self
    }
    /// <p>The name for the dataset.</p>
    pub fn set_name(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_name(input);
        self
    }
    /// <p>The name for the dataset.</p>
    pub fn get_name(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_name()
    }
    /// <p>The ARN of the schema to associate with the dataset. The schema defines the dataset fields.</p>
    pub fn schema_arn(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.schema_arn(input.into());
        self
    }
    /// <p>The ARN of the schema to associate with the dataset. The schema defines the dataset fields.</p>
    pub fn set_schema_arn(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_schema_arn(input);
        self
    }
    /// <p>The ARN of the schema to associate with the dataset. The schema defines the dataset fields.</p>
    pub fn get_schema_arn(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_schema_arn()
    }
    /// <p>The Amazon Resource Name (ARN) of the dataset group to add the dataset to.</p>
    pub fn dataset_group_arn(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.dataset_group_arn(input.into());
        self
    }
    /// <p>The Amazon Resource Name (ARN) of the dataset group to add the dataset to.</p>
    pub fn set_dataset_group_arn(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_dataset_group_arn(input);
        self
    }
    /// <p>The Amazon Resource Name (ARN) of the dataset group to add the dataset to.</p>
    pub fn get_dataset_group_arn(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_dataset_group_arn()
    }
    /// <p>The type of dataset.</p>
    /// <p>One of the following (case insensitive) values:</p>
    /// <ul>
    /// <li> <p>Interactions</p> </li>
    /// <li> <p>Items</p> </li>
    /// <li> <p>Users</p> </li>
    /// </ul>
    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 dataset.</p>
    /// <p>One of the following (case insensitive) values:</p>
    /// <ul>
    /// <li> <p>Interactions</p> </li>
    /// <li> <p>Items</p> </li>
    /// <li> <p>Users</p> </li>
    /// </ul>
    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 dataset.</p>
    /// <p>One of the following (case insensitive) values:</p>
    /// <ul>
    /// <li> <p>Interactions</p> </li>
    /// <li> <p>Items</p> </li>
    /// <li> <p>Users</p> </li>
    /// </ul>
    pub fn get_dataset_type(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_dataset_type()
    }
    /// Appends an item to `tags`.
    ///
    /// To override the contents of this collection use [`set_tags`](Self::set_tags).
    ///
    /// <p>A list of <a href="https://docs.aws.amazon.com/personalize/latest/dg/tagging-resources.html">tags</a> to apply to the dataset.</p>
    pub fn tags(mut self, input: crate::types::Tag) -> Self {
        self.inner = self.inner.tags(input);
        self
    }
    /// <p>A list of <a href="https://docs.aws.amazon.com/personalize/latest/dg/tagging-resources.html">tags</a> to apply to the dataset.</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>A list of <a href="https://docs.aws.amazon.com/personalize/latest/dg/tagging-resources.html">tags</a> to apply to the dataset.</p>
    pub fn get_tags(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::Tag>> {
        self.inner.get_tags()
    }
}