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// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
#[allow(missing_docs)] // documentation missing in model
#[non_exhaustive]
#[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::fmt::Debug)]
pub struct UpdateDeploymentStrategyInput {
/// <p>The deployment strategy ID.</p>
pub deployment_strategy_id: ::std::option::Option<::std::string::String>,
/// <p>A description of the deployment strategy.</p>
pub description: ::std::option::Option<::std::string::String>,
/// <p>Total amount of time for a deployment to last.</p>
pub deployment_duration_in_minutes: ::std::option::Option<i32>,
/// <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 final_bake_time_in_minutes: ::std::option::Option<i32>,
/// <p>The percentage of targets to receive a deployed configuration during each interval.</p>
pub growth_factor: ::std::option::Option<f32>,
/// <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 growth_type: ::std::option::Option<crate::types::GrowthType>,
}
impl UpdateDeploymentStrategyInput {
/// <p>The deployment strategy ID.</p>
pub fn deployment_strategy_id(&self) -> ::std::option::Option<&str> {
self.deployment_strategy_id.as_deref()
}
/// <p>A description of the deployment strategy.</p>
pub fn description(&self) -> ::std::option::Option<&str> {
self.description.as_deref()
}
/// <p>Total amount of time for a deployment to last.</p>
pub fn deployment_duration_in_minutes(&self) -> ::std::option::Option<i32> {
self.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(&self) -> ::std::option::Option<i32> {
self.final_bake_time_in_minutes
}
/// <p>The percentage of targets to receive a deployed configuration during each interval.</p>
pub fn growth_factor(&self) -> ::std::option::Option<f32> {
self.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(&self) -> ::std::option::Option<&crate::types::GrowthType> {
self.growth_type.as_ref()
}
}
impl UpdateDeploymentStrategyInput {
/// Creates a new builder-style object to manufacture [`UpdateDeploymentStrategyInput`](crate::operation::update_deployment_strategy::UpdateDeploymentStrategyInput).
pub fn builder() -> crate::operation::update_deployment_strategy::builders::UpdateDeploymentStrategyInputBuilder {
crate::operation::update_deployment_strategy::builders::UpdateDeploymentStrategyInputBuilder::default()
}
}
/// A builder for [`UpdateDeploymentStrategyInput`](crate::operation::update_deployment_strategy::UpdateDeploymentStrategyInput).
#[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::default::Default, ::std::fmt::Debug)]
#[non_exhaustive]
pub struct UpdateDeploymentStrategyInputBuilder {
pub(crate) deployment_strategy_id: ::std::option::Option<::std::string::String>,
pub(crate) description: ::std::option::Option<::std::string::String>,
pub(crate) deployment_duration_in_minutes: ::std::option::Option<i32>,
pub(crate) final_bake_time_in_minutes: ::std::option::Option<i32>,
pub(crate) growth_factor: ::std::option::Option<f32>,
pub(crate) growth_type: ::std::option::Option<crate::types::GrowthType>,
}
impl UpdateDeploymentStrategyInputBuilder {
/// <p>The deployment strategy ID.</p>
/// This field is required.
pub fn deployment_strategy_id(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.deployment_strategy_id = ::std::option::Option::Some(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.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.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.description = ::std::option::Option::Some(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.description = input;
self
}
/// <p>A description of the deployment strategy.</p>
pub fn get_description(&self) -> &::std::option::Option<::std::string::String> {
&self.description
}
/// <p>Total amount of time for a deployment to last.</p>
pub fn deployment_duration_in_minutes(mut self, input: i32) -> Self {
self.deployment_duration_in_minutes = ::std::option::Option::Some(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.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.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.final_bake_time_in_minutes = ::std::option::Option::Some(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.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.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.growth_factor = ::std::option::Option::Some(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.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.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.growth_type = ::std::option::Option::Some(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.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.growth_type
}
/// Consumes the builder and constructs a [`UpdateDeploymentStrategyInput`](crate::operation::update_deployment_strategy::UpdateDeploymentStrategyInput).
pub fn build(
self,
) -> ::std::result::Result<
crate::operation::update_deployment_strategy::UpdateDeploymentStrategyInput,
::aws_smithy_types::error::operation::BuildError,
> {
::std::result::Result::Ok(crate::operation::update_deployment_strategy::UpdateDeploymentStrategyInput {
deployment_strategy_id: self.deployment_strategy_id,
description: self.description,
deployment_duration_in_minutes: self.deployment_duration_in_minutes,
final_bake_time_in_minutes: self.final_bake_time_in_minutes,
growth_factor: self.growth_factor,
growth_type: self.growth_type,
})
}
}