pub struct Builder { /* private fields */ }Expand description
A builder for GetPredictiveScalingForecastInput.
Implementations§
source§impl Builder
impl Builder
sourcepub fn auto_scaling_group_name(self, input: impl Into<String>) -> Self
pub fn auto_scaling_group_name(self, input: impl Into<String>) -> Self
The name of the Auto Scaling group.
sourcepub fn set_auto_scaling_group_name(self, input: Option<String>) -> Self
pub fn set_auto_scaling_group_name(self, input: Option<String>) -> Self
The name of the Auto Scaling group.
sourcepub fn policy_name(self, input: impl Into<String>) -> Self
pub fn policy_name(self, input: impl Into<String>) -> Self
The name of the policy.
sourcepub fn set_policy_name(self, input: Option<String>) -> Self
pub fn set_policy_name(self, input: Option<String>) -> Self
The name of the policy.
sourcepub fn start_time(self, input: DateTime) -> Self
pub fn start_time(self, input: DateTime) -> Self
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.
sourcepub fn set_start_time(self, input: Option<DateTime>) -> Self
pub fn set_start_time(self, input: Option<DateTime>) -> Self
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.
sourcepub fn end_time(self, input: DateTime) -> Self
pub fn end_time(self, input: DateTime) -> Self
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.
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.
sourcepub fn set_end_time(self, input: Option<DateTime>) -> Self
pub fn set_end_time(self, input: Option<DateTime>) -> Self
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.
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.
sourcepub fn build(self) -> Result<GetPredictiveScalingForecastInput, BuildError>
pub fn build(self) -> Result<GetPredictiveScalingForecastInput, BuildError>
Consumes the builder and constructs a GetPredictiveScalingForecastInput.
Examples found in repository?
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pub async fn customize(
self,
) -> std::result::Result<
crate::operation::customize::CustomizableOperation<
crate::operation::GetPredictiveScalingForecast,
aws_http::retry::AwsResponseRetryClassifier,
>,
aws_smithy_http::result::SdkError<crate::error::GetPredictiveScalingForecastError>,
> {
let handle = self.handle.clone();
let operation = self
.inner
.build()
.map_err(aws_smithy_http::result::SdkError::construction_failure)?
.make_operation(&handle.conf)
.await
.map_err(aws_smithy_http::result::SdkError::construction_failure)?;
Ok(crate::operation::customize::CustomizableOperation { handle, operation })
}
/// 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::output::GetPredictiveScalingForecastOutput,
aws_smithy_http::result::SdkError<crate::error::GetPredictiveScalingForecastError>,
> {
let op = self
.inner
.build()
.map_err(aws_smithy_http::result::SdkError::construction_failure)?
.make_operation(&self.handle.conf)
.await
.map_err(aws_smithy_http::result::SdkError::construction_failure)?;
self.handle.client.call(op).await
}