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// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
pub use crate::operation::create_fleet::_create_fleet_output::CreateFleetOutputBuilder;
pub use crate::operation::create_fleet::_create_fleet_input::CreateFleetInputBuilder;
impl CreateFleetInputBuilder {
/// Sends a request with this input using the given client.
pub async fn send_with(
self,
client: &crate::Client,
) -> ::std::result::Result<
crate::operation::create_fleet::CreateFleetOutput,
::aws_smithy_runtime_api::client::result::SdkError<
crate::operation::create_fleet::CreateFleetError,
::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
>,
> {
let mut fluent_builder = client.create_fleet();
fluent_builder.inner = self;
fluent_builder.send().await
}
}
/// Fluent builder constructing a request to `CreateFleet`.
///
/// <p>Creates a compute fleet.</p>
#[derive(::std::clone::Clone, ::std::fmt::Debug)]
pub struct CreateFleetFluentBuilder {
handle: ::std::sync::Arc<crate::client::Handle>,
inner: crate::operation::create_fleet::builders::CreateFleetInputBuilder,
config_override: ::std::option::Option<crate::config::Builder>,
}
impl
crate::client::customize::internal::CustomizableSend<
crate::operation::create_fleet::CreateFleetOutput,
crate::operation::create_fleet::CreateFleetError,
> for CreateFleetFluentBuilder
{
fn send(
self,
config_override: crate::config::Builder,
) -> crate::client::customize::internal::BoxFuture<
crate::client::customize::internal::SendResult<
crate::operation::create_fleet::CreateFleetOutput,
crate::operation::create_fleet::CreateFleetError,
>,
> {
::std::boxed::Box::pin(async move { self.config_override(config_override).send().await })
}
}
impl CreateFleetFluentBuilder {
/// Creates a new `CreateFleet`.
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 CreateFleet as a reference.
pub fn as_input(&self) -> &crate::operation::create_fleet::builders::CreateFleetInputBuilder {
&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::create_fleet::CreateFleetOutput,
::aws_smithy_runtime_api::client::result::SdkError<
crate::operation::create_fleet::CreateFleetError,
::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::create_fleet::CreateFleet::operation_runtime_plugins(
self.handle.runtime_plugins.clone(),
&self.handle.conf,
self.config_override,
);
crate::operation::create_fleet::CreateFleet::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::create_fleet::CreateFleetOutput,
crate::operation::create_fleet::CreateFleetError,
Self,
> {
crate::client::customize::CustomizableOperation::new(self)
}
pub(crate) fn config_override(mut self, config_override: impl Into<crate::config::Builder>) -> Self {
self.set_config_override(Some(config_override.into()));
self
}
pub(crate) fn set_config_override(&mut self, config_override: Option<crate::config::Builder>) -> &mut Self {
self.config_override = config_override;
self
}
/// <p>The name of the compute fleet.</p>
pub fn name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inner = self.inner.name(input.into());
self
}
/// <p>The name of the compute fleet.</p>
pub fn set_name(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.inner = self.inner.set_name(input);
self
}
/// <p>The name of the compute fleet.</p>
pub fn get_name(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_name()
}
/// <p>The initial number of machines allocated to the fleet, which defines the number of builds that can run in parallel.</p>
pub fn base_capacity(mut self, input: i32) -> Self {
self.inner = self.inner.base_capacity(input);
self
}
/// <p>The initial number of machines allocated to the fleet, which defines the number of builds that can run in parallel.</p>
pub fn set_base_capacity(mut self, input: ::std::option::Option<i32>) -> Self {
self.inner = self.inner.set_base_capacity(input);
self
}
/// <p>The initial number of machines allocated to the fleet, which defines the number of builds that can run in parallel.</p>
pub fn get_base_capacity(&self) -> &::std::option::Option<i32> {
self.inner.get_base_capacity()
}
/// <p>The environment type of the compute fleet.</p>
/// <ul>
/// <li>
/// <p>The environment type <code>ARM_CONTAINER</code> is available only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), Asia Pacific (Mumbai), Asia Pacific (Tokyo), Asia Pacific (Singapore), Asia Pacific (Sydney), EU (Frankfurt), and South America (São Paulo).</p></li>
/// <li>
/// <p>The environment type <code>LINUX_CONTAINER</code> is available only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), EU (Frankfurt), Asia Pacific (Tokyo), Asia Pacific (Singapore), Asia Pacific (Sydney), South America (São Paulo), and Asia Pacific (Mumbai).</p></li>
/// <li>
/// <p>The environment type <code>LINUX_GPU_CONTAINER</code> is available only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), EU (Frankfurt), Asia Pacific (Tokyo), and Asia Pacific (Sydney).</p></li>
/// <li>
/// <p>The environment type <code>WINDOWS_SERVER_2019_CONTAINER</code> is available only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Sydney), Asia Pacific (Tokyo), Asia Pacific (Mumbai) and EU (Ireland).</p></li>
/// <li>
/// <p>The environment type <code>WINDOWS_SERVER_2022_CONTAINER</code> is available only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), EU (Frankfurt), Asia Pacific (Sydney), Asia Pacific (Singapore), Asia Pacific (Tokyo), South America (São Paulo) and Asia Pacific (Mumbai).</p></li>
/// </ul>
/// <p>For more information, see <a href="https://docs.aws.amazon.com/codebuild/latest/userguide/build-env-ref-compute-types.html">Build environment compute types</a> in the <i>CodeBuild user guide</i>.</p>
pub fn environment_type(mut self, input: crate::types::EnvironmentType) -> Self {
self.inner = self.inner.environment_type(input);
self
}
/// <p>The environment type of the compute fleet.</p>
/// <ul>
/// <li>
/// <p>The environment type <code>ARM_CONTAINER</code> is available only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), Asia Pacific (Mumbai), Asia Pacific (Tokyo), Asia Pacific (Singapore), Asia Pacific (Sydney), EU (Frankfurt), and South America (São Paulo).</p></li>
/// <li>
/// <p>The environment type <code>LINUX_CONTAINER</code> is available only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), EU (Frankfurt), Asia Pacific (Tokyo), Asia Pacific (Singapore), Asia Pacific (Sydney), South America (São Paulo), and Asia Pacific (Mumbai).</p></li>
/// <li>
/// <p>The environment type <code>LINUX_GPU_CONTAINER</code> is available only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), EU (Frankfurt), Asia Pacific (Tokyo), and Asia Pacific (Sydney).</p></li>
/// <li>
/// <p>The environment type <code>WINDOWS_SERVER_2019_CONTAINER</code> is available only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Sydney), Asia Pacific (Tokyo), Asia Pacific (Mumbai) and EU (Ireland).</p></li>
/// <li>
/// <p>The environment type <code>WINDOWS_SERVER_2022_CONTAINER</code> is available only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), EU (Frankfurt), Asia Pacific (Sydney), Asia Pacific (Singapore), Asia Pacific (Tokyo), South America (São Paulo) and Asia Pacific (Mumbai).</p></li>
/// </ul>
/// <p>For more information, see <a href="https://docs.aws.amazon.com/codebuild/latest/userguide/build-env-ref-compute-types.html">Build environment compute types</a> in the <i>CodeBuild user guide</i>.</p>
pub fn set_environment_type(mut self, input: ::std::option::Option<crate::types::EnvironmentType>) -> Self {
self.inner = self.inner.set_environment_type(input);
self
}
/// <p>The environment type of the compute fleet.</p>
/// <ul>
/// <li>
/// <p>The environment type <code>ARM_CONTAINER</code> is available only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), Asia Pacific (Mumbai), Asia Pacific (Tokyo), Asia Pacific (Singapore), Asia Pacific (Sydney), EU (Frankfurt), and South America (São Paulo).</p></li>
/// <li>
/// <p>The environment type <code>LINUX_CONTAINER</code> is available only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), EU (Frankfurt), Asia Pacific (Tokyo), Asia Pacific (Singapore), Asia Pacific (Sydney), South America (São Paulo), and Asia Pacific (Mumbai).</p></li>
/// <li>
/// <p>The environment type <code>LINUX_GPU_CONTAINER</code> is available only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), EU (Frankfurt), Asia Pacific (Tokyo), and Asia Pacific (Sydney).</p></li>
/// <li>
/// <p>The environment type <code>WINDOWS_SERVER_2019_CONTAINER</code> is available only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Sydney), Asia Pacific (Tokyo), Asia Pacific (Mumbai) and EU (Ireland).</p></li>
/// <li>
/// <p>The environment type <code>WINDOWS_SERVER_2022_CONTAINER</code> is available only in regions US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), EU (Frankfurt), Asia Pacific (Sydney), Asia Pacific (Singapore), Asia Pacific (Tokyo), South America (São Paulo) and Asia Pacific (Mumbai).</p></li>
/// </ul>
/// <p>For more information, see <a href="https://docs.aws.amazon.com/codebuild/latest/userguide/build-env-ref-compute-types.html">Build environment compute types</a> in the <i>CodeBuild user guide</i>.</p>
pub fn get_environment_type(&self) -> &::std::option::Option<crate::types::EnvironmentType> {
self.inner.get_environment_type()
}
/// <p>Information about the compute resources the compute fleet uses. Available values include:</p>
/// <ul>
/// <li>
/// <p><code>BUILD_GENERAL1_SMALL</code>: Use up to 3 GB memory and 2 vCPUs for builds.</p></li>
/// <li>
/// <p><code>BUILD_GENERAL1_MEDIUM</code>: Use up to 7 GB memory and 4 vCPUs for builds.</p></li>
/// <li>
/// <p><code>BUILD_GENERAL1_LARGE</code>: Use up to 16 GB memory and 8 vCPUs for builds, depending on your environment type.</p></li>
/// <li>
/// <p><code>BUILD_GENERAL1_XLARGE</code>: Use up to 70 GB memory and 36 vCPUs for builds, depending on your environment type.</p></li>
/// <li>
/// <p><code>BUILD_GENERAL1_2XLARGE</code>: Use up to 145 GB memory, 72 vCPUs, and 824 GB of SSD storage for builds. This compute type supports Docker images up to 100 GB uncompressed.</p></li>
/// </ul>
/// <p>If you use <code>BUILD_GENERAL1_SMALL</code>:</p>
/// <ul>
/// <li>
/// <p>For environment type <code>LINUX_CONTAINER</code>, you can use up to 3 GB memory and 2 vCPUs for builds.</p></li>
/// <li>
/// <p>For environment type <code>LINUX_GPU_CONTAINER</code>, you can use up to 16 GB memory, 4 vCPUs, and 1 NVIDIA A10G Tensor Core GPU for builds.</p></li>
/// <li>
/// <p>For environment type <code>ARM_CONTAINER</code>, you can use up to 4 GB memory and 2 vCPUs on ARM-based processors for builds.</p></li>
/// </ul>
/// <p>If you use <code>BUILD_GENERAL1_LARGE</code>:</p>
/// <ul>
/// <li>
/// <p>For environment type <code>LINUX_CONTAINER</code>, you can use up to 15 GB memory and 8 vCPUs for builds.</p></li>
/// <li>
/// <p>For environment type <code>LINUX_GPU_CONTAINER</code>, you can use up to 255 GB memory, 32 vCPUs, and 4 NVIDIA Tesla V100 GPUs for builds.</p></li>
/// <li>
/// <p>For environment type <code>ARM_CONTAINER</code>, you can use up to 16 GB memory and 8 vCPUs on ARM-based processors for builds.</p></li>
/// </ul>
/// <p>For more information, see <a href="https://docs.aws.amazon.com/codebuild/latest/userguide/build-env-ref-compute-types.html">Build environment compute types</a> in the <i>CodeBuild User Guide.</i></p>
pub fn compute_type(mut self, input: crate::types::ComputeType) -> Self {
self.inner = self.inner.compute_type(input);
self
}
/// <p>Information about the compute resources the compute fleet uses. Available values include:</p>
/// <ul>
/// <li>
/// <p><code>BUILD_GENERAL1_SMALL</code>: Use up to 3 GB memory and 2 vCPUs for builds.</p></li>
/// <li>
/// <p><code>BUILD_GENERAL1_MEDIUM</code>: Use up to 7 GB memory and 4 vCPUs for builds.</p></li>
/// <li>
/// <p><code>BUILD_GENERAL1_LARGE</code>: Use up to 16 GB memory and 8 vCPUs for builds, depending on your environment type.</p></li>
/// <li>
/// <p><code>BUILD_GENERAL1_XLARGE</code>: Use up to 70 GB memory and 36 vCPUs for builds, depending on your environment type.</p></li>
/// <li>
/// <p><code>BUILD_GENERAL1_2XLARGE</code>: Use up to 145 GB memory, 72 vCPUs, and 824 GB of SSD storage for builds. This compute type supports Docker images up to 100 GB uncompressed.</p></li>
/// </ul>
/// <p>If you use <code>BUILD_GENERAL1_SMALL</code>:</p>
/// <ul>
/// <li>
/// <p>For environment type <code>LINUX_CONTAINER</code>, you can use up to 3 GB memory and 2 vCPUs for builds.</p></li>
/// <li>
/// <p>For environment type <code>LINUX_GPU_CONTAINER</code>, you can use up to 16 GB memory, 4 vCPUs, and 1 NVIDIA A10G Tensor Core GPU for builds.</p></li>
/// <li>
/// <p>For environment type <code>ARM_CONTAINER</code>, you can use up to 4 GB memory and 2 vCPUs on ARM-based processors for builds.</p></li>
/// </ul>
/// <p>If you use <code>BUILD_GENERAL1_LARGE</code>:</p>
/// <ul>
/// <li>
/// <p>For environment type <code>LINUX_CONTAINER</code>, you can use up to 15 GB memory and 8 vCPUs for builds.</p></li>
/// <li>
/// <p>For environment type <code>LINUX_GPU_CONTAINER</code>, you can use up to 255 GB memory, 32 vCPUs, and 4 NVIDIA Tesla V100 GPUs for builds.</p></li>
/// <li>
/// <p>For environment type <code>ARM_CONTAINER</code>, you can use up to 16 GB memory and 8 vCPUs on ARM-based processors for builds.</p></li>
/// </ul>
/// <p>For more information, see <a href="https://docs.aws.amazon.com/codebuild/latest/userguide/build-env-ref-compute-types.html">Build environment compute types</a> in the <i>CodeBuild User Guide.</i></p>
pub fn set_compute_type(mut self, input: ::std::option::Option<crate::types::ComputeType>) -> Self {
self.inner = self.inner.set_compute_type(input);
self
}
/// <p>Information about the compute resources the compute fleet uses. Available values include:</p>
/// <ul>
/// <li>
/// <p><code>BUILD_GENERAL1_SMALL</code>: Use up to 3 GB memory and 2 vCPUs for builds.</p></li>
/// <li>
/// <p><code>BUILD_GENERAL1_MEDIUM</code>: Use up to 7 GB memory and 4 vCPUs for builds.</p></li>
/// <li>
/// <p><code>BUILD_GENERAL1_LARGE</code>: Use up to 16 GB memory and 8 vCPUs for builds, depending on your environment type.</p></li>
/// <li>
/// <p><code>BUILD_GENERAL1_XLARGE</code>: Use up to 70 GB memory and 36 vCPUs for builds, depending on your environment type.</p></li>
/// <li>
/// <p><code>BUILD_GENERAL1_2XLARGE</code>: Use up to 145 GB memory, 72 vCPUs, and 824 GB of SSD storage for builds. This compute type supports Docker images up to 100 GB uncompressed.</p></li>
/// </ul>
/// <p>If you use <code>BUILD_GENERAL1_SMALL</code>:</p>
/// <ul>
/// <li>
/// <p>For environment type <code>LINUX_CONTAINER</code>, you can use up to 3 GB memory and 2 vCPUs for builds.</p></li>
/// <li>
/// <p>For environment type <code>LINUX_GPU_CONTAINER</code>, you can use up to 16 GB memory, 4 vCPUs, and 1 NVIDIA A10G Tensor Core GPU for builds.</p></li>
/// <li>
/// <p>For environment type <code>ARM_CONTAINER</code>, you can use up to 4 GB memory and 2 vCPUs on ARM-based processors for builds.</p></li>
/// </ul>
/// <p>If you use <code>BUILD_GENERAL1_LARGE</code>:</p>
/// <ul>
/// <li>
/// <p>For environment type <code>LINUX_CONTAINER</code>, you can use up to 15 GB memory and 8 vCPUs for builds.</p></li>
/// <li>
/// <p>For environment type <code>LINUX_GPU_CONTAINER</code>, you can use up to 255 GB memory, 32 vCPUs, and 4 NVIDIA Tesla V100 GPUs for builds.</p></li>
/// <li>
/// <p>For environment type <code>ARM_CONTAINER</code>, you can use up to 16 GB memory and 8 vCPUs on ARM-based processors for builds.</p></li>
/// </ul>
/// <p>For more information, see <a href="https://docs.aws.amazon.com/codebuild/latest/userguide/build-env-ref-compute-types.html">Build environment compute types</a> in the <i>CodeBuild User Guide.</i></p>
pub fn get_compute_type(&self) -> &::std::option::Option<crate::types::ComputeType> {
self.inner.get_compute_type()
}
/// <p>The scaling configuration of the compute fleet.</p>
pub fn scaling_configuration(mut self, input: crate::types::ScalingConfigurationInput) -> Self {
self.inner = self.inner.scaling_configuration(input);
self
}
/// <p>The scaling configuration of the compute fleet.</p>
pub fn set_scaling_configuration(mut self, input: ::std::option::Option<crate::types::ScalingConfigurationInput>) -> Self {
self.inner = self.inner.set_scaling_configuration(input);
self
}
/// <p>The scaling configuration of the compute fleet.</p>
pub fn get_scaling_configuration(&self) -> &::std::option::Option<crate::types::ScalingConfigurationInput> {
self.inner.get_scaling_configuration()
}
/// <p>The compute fleet overflow behavior.</p>
/// <ul>
/// <li>
/// <p>For overflow behavior <code>QUEUE</code>, your overflow builds need to wait on the existing fleet instance to become available.</p></li>
/// <li>
/// <p>For overflow behavior <code>ON_DEMAND</code>, your overflow builds run on CodeBuild on-demand.</p></li>
/// </ul>
pub fn overflow_behavior(mut self, input: crate::types::FleetOverflowBehavior) -> Self {
self.inner = self.inner.overflow_behavior(input);
self
}
/// <p>The compute fleet overflow behavior.</p>
/// <ul>
/// <li>
/// <p>For overflow behavior <code>QUEUE</code>, your overflow builds need to wait on the existing fleet instance to become available.</p></li>
/// <li>
/// <p>For overflow behavior <code>ON_DEMAND</code>, your overflow builds run on CodeBuild on-demand.</p></li>
/// </ul>
pub fn set_overflow_behavior(mut self, input: ::std::option::Option<crate::types::FleetOverflowBehavior>) -> Self {
self.inner = self.inner.set_overflow_behavior(input);
self
}
/// <p>The compute fleet overflow behavior.</p>
/// <ul>
/// <li>
/// <p>For overflow behavior <code>QUEUE</code>, your overflow builds need to wait on the existing fleet instance to become available.</p></li>
/// <li>
/// <p>For overflow behavior <code>ON_DEMAND</code>, your overflow builds run on CodeBuild on-demand.</p></li>
/// </ul>
pub fn get_overflow_behavior(&self) -> &::std::option::Option<crate::types::FleetOverflowBehavior> {
self.inner.get_overflow_behavior()
}
/// Appends an item to `tags`.
///
/// To override the contents of this collection use [`set_tags`](Self::set_tags).
///
/// <p>A list of tag key and value pairs associated with this compute fleet.</p>
/// <p>These tags are available for use by Amazon Web Services services that support CodeBuild build project tags.</p>
pub fn tags(mut self, input: crate::types::Tag) -> Self {
self.inner = self.inner.tags(input);
self
}
/// <p>A list of tag key and value pairs associated with this compute fleet.</p>
/// <p>These tags are available for use by Amazon Web Services services that support CodeBuild build project tags.</p>
pub fn set_tags(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::Tag>>) -> Self {
self.inner = self.inner.set_tags(input);
self
}
/// <p>A list of tag key and value pairs associated with this compute fleet.</p>
/// <p>These tags are available for use by Amazon Web Services services that support CodeBuild build project tags.</p>
pub fn get_tags(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::Tag>> {
self.inner.get_tags()
}
}