aws_sdk_appconfig/operation/update_deployment_strategy/

builders.rs

// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
pub use crate::operation::update_deployment_strategy::_update_deployment_strategy_output::UpdateDeploymentStrategyOutputBuilder;

pub use crate::operation::update_deployment_strategy::_update_deployment_strategy_input::UpdateDeploymentStrategyInputBuilder;

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()
    }
}