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// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
pub use crate::operation::get_predictive_scaling_forecast::_get_predictive_scaling_forecast_output::GetPredictiveScalingForecastOutputBuilder;

pub use crate::operation::get_predictive_scaling_forecast::_get_predictive_scaling_forecast_input::GetPredictiveScalingForecastInputBuilder;

impl GetPredictiveScalingForecastInputBuilder {
    /// Sends a request with this input using the given client.
    pub async fn send_with(
        self,
        client: &crate::Client,
    ) -> ::std::result::Result<
        crate::operation::get_predictive_scaling_forecast::GetPredictiveScalingForecastOutput,
        ::aws_smithy_runtime_api::client::result::SdkError<
            crate::operation::get_predictive_scaling_forecast::GetPredictiveScalingForecastError,
            ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
        >,
    > {
        let mut fluent_builder = client.get_predictive_scaling_forecast();
        fluent_builder.inner = self;
        fluent_builder.send().await
    }
}
/// Fluent builder constructing a request to `GetPredictiveScalingForecast`.
///
/// <p>Retrieves the forecast data for a predictive scaling policy.</p>
/// <p>Load forecasts are predictions of the hourly load values using historical load data from CloudWatch and an analysis of historical trends. Capacity forecasts are represented as predicted values for the minimum capacity that is needed on an hourly basis, based on the hourly load forecast.</p>
/// <p>A minimum of 24 hours of data is required to create the initial forecasts. However, having a full 14 days of historical data results in more accurate forecasts.</p>
/// <p>For more information, see <a href="https://docs.aws.amazon.com/autoscaling/ec2/userguide/ec2-auto-scaling-predictive-scaling.html">Predictive scaling for Amazon EC2 Auto Scaling</a> in the <i>Amazon EC2 Auto Scaling User Guide</i>.</p>
#[derive(::std::clone::Clone, ::std::fmt::Debug)]
pub struct GetPredictiveScalingForecastFluentBuilder {
    handle: ::std::sync::Arc<crate::client::Handle>,
    inner: crate::operation::get_predictive_scaling_forecast::builders::GetPredictiveScalingForecastInputBuilder,
    config_override: ::std::option::Option<crate::config::Builder>,
}
impl
    crate::client::customize::internal::CustomizableSend<
        crate::operation::get_predictive_scaling_forecast::GetPredictiveScalingForecastOutput,
        crate::operation::get_predictive_scaling_forecast::GetPredictiveScalingForecastError,
    > for GetPredictiveScalingForecastFluentBuilder
{
    fn send(
        self,
        config_override: crate::config::Builder,
    ) -> crate::client::customize::internal::BoxFuture<
        crate::client::customize::internal::SendResult<
            crate::operation::get_predictive_scaling_forecast::GetPredictiveScalingForecastOutput,
            crate::operation::get_predictive_scaling_forecast::GetPredictiveScalingForecastError,
        >,
    > {
        ::std::boxed::Box::pin(async move { self.config_override(config_override).send().await })
    }
}
impl GetPredictiveScalingForecastFluentBuilder {
    /// Creates a new `GetPredictiveScalingForecast`.
    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 GetPredictiveScalingForecast as a reference.
    pub fn as_input(&self) -> &crate::operation::get_predictive_scaling_forecast::builders::GetPredictiveScalingForecastInputBuilder {
        &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::get_predictive_scaling_forecast::GetPredictiveScalingForecastOutput,
        ::aws_smithy_runtime_api::client::result::SdkError<
            crate::operation::get_predictive_scaling_forecast::GetPredictiveScalingForecastError,
            ::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::get_predictive_scaling_forecast::GetPredictiveScalingForecast::operation_runtime_plugins(
            self.handle.runtime_plugins.clone(),
            &self.handle.conf,
            self.config_override,
        );
        crate::operation::get_predictive_scaling_forecast::GetPredictiveScalingForecast::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::get_predictive_scaling_forecast::GetPredictiveScalingForecastOutput,
        crate::operation::get_predictive_scaling_forecast::GetPredictiveScalingForecastError,
        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 Auto Scaling group.</p>
    pub fn auto_scaling_group_name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.auto_scaling_group_name(input.into());
        self
    }
    /// <p>The name of the Auto Scaling group.</p>
    pub fn set_auto_scaling_group_name(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_auto_scaling_group_name(input);
        self
    }
    /// <p>The name of the Auto Scaling group.</p>
    pub fn get_auto_scaling_group_name(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_auto_scaling_group_name()
    }
    /// <p>The name of the policy.</p>
    pub fn policy_name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.policy_name(input.into());
        self
    }
    /// <p>The name of the policy.</p>
    pub fn set_policy_name(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_policy_name(input);
        self
    }
    /// <p>The name of the policy.</p>
    pub fn get_policy_name(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_policy_name()
    }
    /// <p>The inclusive start time of the time range for the forecast data to get. At most, the date and time can be one year before the current date and time.</p>
    pub fn start_time(mut self, input: ::aws_smithy_types::DateTime) -> Self {
        self.inner = self.inner.start_time(input);
        self
    }
    /// <p>The inclusive start time of the time range for the forecast data to get. At most, the date and time can be one year before the current date and time.</p>
    pub fn set_start_time(mut self, input: ::std::option::Option<::aws_smithy_types::DateTime>) -> Self {
        self.inner = self.inner.set_start_time(input);
        self
    }
    /// <p>The inclusive start time of the time range for the forecast data to get. At most, the date and time can be one year before the current date and time.</p>
    pub fn get_start_time(&self) -> &::std::option::Option<::aws_smithy_types::DateTime> {
        self.inner.get_start_time()
    }
    /// <p>The exclusive end time of the time range for the forecast data to get. The maximum time duration between the start and end time is 30 days. </p>
    /// <p>Although this parameter can accept a date and time that is more than two days in the future, the availability of forecast data has limits. Amazon EC2 Auto Scaling only issues forecasts for periods of two days in advance.</p>
    pub fn end_time(mut self, input: ::aws_smithy_types::DateTime) -> Self {
        self.inner = self.inner.end_time(input);
        self
    }
    /// <p>The exclusive end time of the time range for the forecast data to get. The maximum time duration between the start and end time is 30 days. </p>
    /// <p>Although this parameter can accept a date and time that is more than two days in the future, the availability of forecast data has limits. Amazon EC2 Auto Scaling only issues forecasts for periods of two days in advance.</p>
    pub fn set_end_time(mut self, input: ::std::option::Option<::aws_smithy_types::DateTime>) -> Self {
        self.inner = self.inner.set_end_time(input);
        self
    }
    /// <p>The exclusive end time of the time range for the forecast data to get. The maximum time duration between the start and end time is 30 days. </p>
    /// <p>Although this parameter can accept a date and time that is more than two days in the future, the availability of forecast data has limits. Amazon EC2 Auto Scaling only issues forecasts for periods of two days in advance.</p>
    pub fn get_end_time(&self) -> &::std::option::Option<::aws_smithy_types::DateTime> {
        self.inner.get_end_time()
    }
}