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// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
pub use crate::operation::update_deployment_strategy::_update_deployment_strategy_input::UpdateDeploymentStrategyInputBuilder;
pub use crate::operation::update_deployment_strategy::_update_deployment_strategy_output::UpdateDeploymentStrategyOutputBuilder;
impl crate::operation::update_deployment_strategy::builders::UpdateDeploymentStrategyInputBuilder {
/// Sends a request with this input using the given client.
pub async fn send_with(
self,
client: &crate::Client,
) -> ::std::result::Result<
crate::operation::update_deployment_strategy::UpdateDeploymentStrategyOutput,
::aws_smithy_runtime_api::client::result::SdkError<
crate::operation::update_deployment_strategy::UpdateDeploymentStrategyError,
::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
>,
> {
let mut fluent_builder = client.update_deployment_strategy();
fluent_builder.inner = self;
fluent_builder.send().await
}
}
/// Fluent builder constructing a request to `UpdateDeploymentStrategy`.
///
/// <p>Updates a deployment strategy.</p>
#[derive(::std::clone::Clone, ::std::fmt::Debug)]
pub struct UpdateDeploymentStrategyFluentBuilder {
handle: ::std::sync::Arc<crate::client::Handle>,
inner: crate::operation::update_deployment_strategy::builders::UpdateDeploymentStrategyInputBuilder,
config_override: ::std::option::Option<crate::config::Builder>,
}
impl
crate::client::customize::internal::CustomizableSend<
crate::operation::update_deployment_strategy::UpdateDeploymentStrategyOutput,
crate::operation::update_deployment_strategy::UpdateDeploymentStrategyError,
> for UpdateDeploymentStrategyFluentBuilder
{
fn send(
self,
config_override: crate::config::Builder,
) -> crate::client::customize::internal::BoxFuture<
crate::client::customize::internal::SendResult<
crate::operation::update_deployment_strategy::UpdateDeploymentStrategyOutput,
crate::operation::update_deployment_strategy::UpdateDeploymentStrategyError,
>,
> {
::std::boxed::Box::pin(async move { self.config_override(config_override).send().await })
}
}
impl UpdateDeploymentStrategyFluentBuilder {
/// Creates a new `UpdateDeploymentStrategyFluentBuilder`.
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 UpdateDeploymentStrategy as a reference.
pub fn as_input(&self) -> &crate::operation::update_deployment_strategy::builders::UpdateDeploymentStrategyInputBuilder {
&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::update_deployment_strategy::UpdateDeploymentStrategyOutput,
::aws_smithy_runtime_api::client::result::SdkError<
crate::operation::update_deployment_strategy::UpdateDeploymentStrategyError,
::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::update_deployment_strategy::UpdateDeploymentStrategy::operation_runtime_plugins(
self.handle.runtime_plugins.clone(),
&self.handle.conf,
self.config_override,
);
crate::operation::update_deployment_strategy::UpdateDeploymentStrategy::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::update_deployment_strategy::UpdateDeploymentStrategyOutput,
crate::operation::update_deployment_strategy::UpdateDeploymentStrategyError,
Self,
> {
crate::client::customize::CustomizableOperation::new(self)
}
pub(crate) fn config_override(mut self, config_override: impl ::std::convert::Into<crate::config::Builder>) -> Self {
self.set_config_override(::std::option::Option::Some(config_override.into()));
self
}
pub(crate) fn set_config_override(&mut self, config_override: ::std::option::Option<crate::config::Builder>) -> &mut Self {
self.config_override = config_override;
self
}
/// <p>The deployment strategy ID.</p>
pub fn deployment_strategy_id(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inner = self.inner.deployment_strategy_id(input.into());
self
}
/// <p>The deployment strategy ID.</p>
pub fn set_deployment_strategy_id(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.inner = self.inner.set_deployment_strategy_id(input);
self
}
/// <p>The deployment strategy ID.</p>
pub fn get_deployment_strategy_id(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_deployment_strategy_id()
}
/// <p>A description of the deployment strategy.</p>
pub fn description(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inner = self.inner.description(input.into());
self
}
/// <p>A description of the deployment strategy.</p>
pub fn set_description(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.inner = self.inner.set_description(input);
self
}
/// <p>A description of the deployment strategy.</p>
pub fn get_description(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_description()
}
/// <p>Total amount of time for a deployment to last.</p>
pub fn deployment_duration_in_minutes(mut self, input: i32) -> Self {
self.inner = self.inner.deployment_duration_in_minutes(input);
self
}
/// <p>Total amount of time for a deployment to last.</p>
pub fn set_deployment_duration_in_minutes(mut self, input: ::std::option::Option<i32>) -> Self {
self.inner = self.inner.set_deployment_duration_in_minutes(input);
self
}
/// <p>Total amount of time for a deployment to last.</p>
pub fn get_deployment_duration_in_minutes(&self) -> &::std::option::Option<i32> {
self.inner.get_deployment_duration_in_minutes()
}
/// <p>The amount of time that AppConfig monitors for alarms before considering the deployment to be complete and no longer eligible for automatic rollback.</p>
pub fn final_bake_time_in_minutes(mut self, input: i32) -> Self {
self.inner = self.inner.final_bake_time_in_minutes(input);
self
}
/// <p>The amount of time that AppConfig monitors for alarms before considering the deployment to be complete and no longer eligible for automatic rollback.</p>
pub fn set_final_bake_time_in_minutes(mut self, input: ::std::option::Option<i32>) -> Self {
self.inner = self.inner.set_final_bake_time_in_minutes(input);
self
}
/// <p>The amount of time that AppConfig monitors for alarms before considering the deployment to be complete and no longer eligible for automatic rollback.</p>
pub fn get_final_bake_time_in_minutes(&self) -> &::std::option::Option<i32> {
self.inner.get_final_bake_time_in_minutes()
}
/// <p>The percentage of targets to receive a deployed configuration during each interval.</p>
pub fn growth_factor(mut self, input: f32) -> Self {
self.inner = self.inner.growth_factor(input);
self
}
/// <p>The percentage of targets to receive a deployed configuration during each interval.</p>
pub fn set_growth_factor(mut self, input: ::std::option::Option<f32>) -> Self {
self.inner = self.inner.set_growth_factor(input);
self
}
/// <p>The percentage of targets to receive a deployed configuration during each interval.</p>
pub fn get_growth_factor(&self) -> &::std::option::Option<f32> {
self.inner.get_growth_factor()
}
/// <p>The algorithm used to define how percentage grows over time. AppConfig supports the following growth types:</p>
/// <p><b>Linear</b>: For this type, AppConfig processes the deployment by increments of the growth factor evenly distributed over the deployment time. For example, a linear deployment that uses a growth factor of 20 initially makes the configuration available to 20 percent of the targets. After 1/5th of the deployment time has passed, the system updates the percentage to 40 percent. This continues until 100% of the targets are set to receive the deployed configuration.</p>
/// <p><b>Exponential</b>: For this type, AppConfig processes the deployment exponentially using the following formula: <code>G*(2^N)</code>. In this formula, <code>G</code> is the growth factor specified by the user and <code>N</code> is the number of steps until the configuration is deployed to all targets. For example, if you specify a growth factor of 2, then the system rolls out the configuration as follows:</p>
/// <p><code>2*(2^0)</code></p>
/// <p><code>2*(2^1)</code></p>
/// <p><code>2*(2^2)</code></p>
/// <p>Expressed numerically, the deployment rolls out as follows: 2% of the targets, 4% of the targets, 8% of the targets, and continues until the configuration has been deployed to all targets.</p>
pub fn growth_type(mut self, input: crate::types::GrowthType) -> Self {
self.inner = self.inner.growth_type(input);
self
}
/// <p>The algorithm used to define how percentage grows over time. AppConfig supports the following growth types:</p>
/// <p><b>Linear</b>: For this type, AppConfig processes the deployment by increments of the growth factor evenly distributed over the deployment time. For example, a linear deployment that uses a growth factor of 20 initially makes the configuration available to 20 percent of the targets. After 1/5th of the deployment time has passed, the system updates the percentage to 40 percent. This continues until 100% of the targets are set to receive the deployed configuration.</p>
/// <p><b>Exponential</b>: For this type, AppConfig processes the deployment exponentially using the following formula: <code>G*(2^N)</code>. In this formula, <code>G</code> is the growth factor specified by the user and <code>N</code> is the number of steps until the configuration is deployed to all targets. For example, if you specify a growth factor of 2, then the system rolls out the configuration as follows:</p>
/// <p><code>2*(2^0)</code></p>
/// <p><code>2*(2^1)</code></p>
/// <p><code>2*(2^2)</code></p>
/// <p>Expressed numerically, the deployment rolls out as follows: 2% of the targets, 4% of the targets, 8% of the targets, and continues until the configuration has been deployed to all targets.</p>
pub fn set_growth_type(mut self, input: ::std::option::Option<crate::types::GrowthType>) -> Self {
self.inner = self.inner.set_growth_type(input);
self
}
/// <p>The algorithm used to define how percentage grows over time. AppConfig supports the following growth types:</p>
/// <p><b>Linear</b>: For this type, AppConfig processes the deployment by increments of the growth factor evenly distributed over the deployment time. For example, a linear deployment that uses a growth factor of 20 initially makes the configuration available to 20 percent of the targets. After 1/5th of the deployment time has passed, the system updates the percentage to 40 percent. This continues until 100% of the targets are set to receive the deployed configuration.</p>
/// <p><b>Exponential</b>: For this type, AppConfig processes the deployment exponentially using the following formula: <code>G*(2^N)</code>. In this formula, <code>G</code> is the growth factor specified by the user and <code>N</code> is the number of steps until the configuration is deployed to all targets. For example, if you specify a growth factor of 2, then the system rolls out the configuration as follows:</p>
/// <p><code>2*(2^0)</code></p>
/// <p><code>2*(2^1)</code></p>
/// <p><code>2*(2^2)</code></p>
/// <p>Expressed numerically, the deployment rolls out as follows: 2% of the targets, 4% of the targets, 8% of the targets, and continues until the configuration has been deployed to all targets.</p>
pub fn get_growth_type(&self) -> &::std::option::Option<crate::types::GrowthType> {
self.inner.get_growth_type()
}
}