1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
// 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()
}
}