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// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
pub use crate::operation::describe_anomaly_detectors::_describe_anomaly_detectors_input::DescribeAnomalyDetectorsInputBuilder;
pub use crate::operation::describe_anomaly_detectors::_describe_anomaly_detectors_output::DescribeAnomalyDetectorsOutputBuilder;
impl crate::operation::describe_anomaly_detectors::builders::DescribeAnomalyDetectorsInputBuilder {
/// Sends a request with this input using the given client.
pub async fn send_with(
self,
client: &crate::Client,
) -> ::std::result::Result<
crate::operation::describe_anomaly_detectors::DescribeAnomalyDetectorsOutput,
::aws_smithy_runtime_api::client::result::SdkError<
crate::operation::describe_anomaly_detectors::DescribeAnomalyDetectorsError,
::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
>,
> {
let mut fluent_builder = client.describe_anomaly_detectors();
fluent_builder.inner = self;
fluent_builder.send().await
}
}
/// Fluent builder constructing a request to `DescribeAnomalyDetectors`.
///
/// <p>Lists the anomaly detection models that you have created in your account. For single metric anomaly detectors, you can list all of the models in your account or filter the results to only the models that are related to a certain namespace, metric name, or metric dimension. For metric math anomaly detectors, you can list them by adding <code>METRIC_MATH</code> to the <code>AnomalyDetectorTypes</code> array. This will return all metric math anomaly detectors in your account.</p>
#[derive(::std::clone::Clone, ::std::fmt::Debug)]
pub struct DescribeAnomalyDetectorsFluentBuilder {
handle: ::std::sync::Arc<crate::client::Handle>,
inner: crate::operation::describe_anomaly_detectors::builders::DescribeAnomalyDetectorsInputBuilder,
config_override: ::std::option::Option<crate::config::Builder>,
}
impl
crate::client::customize::internal::CustomizableSend<
crate::operation::describe_anomaly_detectors::DescribeAnomalyDetectorsOutput,
crate::operation::describe_anomaly_detectors::DescribeAnomalyDetectorsError,
> for DescribeAnomalyDetectorsFluentBuilder
{
fn send(
self,
config_override: crate::config::Builder,
) -> crate::client::customize::internal::BoxFuture<
crate::client::customize::internal::SendResult<
crate::operation::describe_anomaly_detectors::DescribeAnomalyDetectorsOutput,
crate::operation::describe_anomaly_detectors::DescribeAnomalyDetectorsError,
>,
> {
::std::boxed::Box::pin(async move { self.config_override(config_override).send().await })
}
}
impl DescribeAnomalyDetectorsFluentBuilder {
/// Creates a new `DescribeAnomalyDetectorsFluentBuilder`.
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 DescribeAnomalyDetectors as a reference.
pub fn as_input(&self) -> &crate::operation::describe_anomaly_detectors::builders::DescribeAnomalyDetectorsInputBuilder {
&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::describe_anomaly_detectors::DescribeAnomalyDetectorsOutput,
::aws_smithy_runtime_api::client::result::SdkError<
crate::operation::describe_anomaly_detectors::DescribeAnomalyDetectorsError,
::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::describe_anomaly_detectors::DescribeAnomalyDetectors::operation_runtime_plugins(
self.handle.runtime_plugins.clone(),
&self.handle.conf,
self.config_override,
);
crate::operation::describe_anomaly_detectors::DescribeAnomalyDetectors::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::describe_anomaly_detectors::DescribeAnomalyDetectorsOutput,
crate::operation::describe_anomaly_detectors::DescribeAnomalyDetectorsError,
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
}
/// Create a paginator for this request
///
/// Paginators are used by calling [`send().await`](crate::operation::describe_anomaly_detectors::paginator::DescribeAnomalyDetectorsPaginator::send) which returns a [`PaginationStream`](aws_smithy_async::future::pagination_stream::PaginationStream).
pub fn into_paginator(self) -> crate::operation::describe_anomaly_detectors::paginator::DescribeAnomalyDetectorsPaginator {
crate::operation::describe_anomaly_detectors::paginator::DescribeAnomalyDetectorsPaginator::new(self.handle, self.inner)
}
/// <p>Use the token returned by the previous operation to request the next page of results.</p>
pub fn next_token(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inner = self.inner.next_token(input.into());
self
}
/// <p>Use the token returned by the previous operation to request the next page of results.</p>
pub fn set_next_token(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.inner = self.inner.set_next_token(input);
self
}
/// <p>Use the token returned by the previous operation to request the next page of results.</p>
pub fn get_next_token(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_next_token()
}
/// <p>The maximum number of results to return in one operation. The maximum value that you can specify is 100.</p>
/// <p>To retrieve the remaining results, make another call with the returned <code>NextToken</code> value.</p>
pub fn max_results(mut self, input: i32) -> Self {
self.inner = self.inner.max_results(input);
self
}
/// <p>The maximum number of results to return in one operation. The maximum value that you can specify is 100.</p>
/// <p>To retrieve the remaining results, make another call with the returned <code>NextToken</code> value.</p>
pub fn set_max_results(mut self, input: ::std::option::Option<i32>) -> Self {
self.inner = self.inner.set_max_results(input);
self
}
/// <p>The maximum number of results to return in one operation. The maximum value that you can specify is 100.</p>
/// <p>To retrieve the remaining results, make another call with the returned <code>NextToken</code> value.</p>
pub fn get_max_results(&self) -> &::std::option::Option<i32> {
self.inner.get_max_results()
}
/// <p>Limits the results to only the anomaly detection models that are associated with the specified namespace.</p>
pub fn namespace(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inner = self.inner.namespace(input.into());
self
}
/// <p>Limits the results to only the anomaly detection models that are associated with the specified namespace.</p>
pub fn set_namespace(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.inner = self.inner.set_namespace(input);
self
}
/// <p>Limits the results to only the anomaly detection models that are associated with the specified namespace.</p>
pub fn get_namespace(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_namespace()
}
/// <p>Limits the results to only the anomaly detection models that are associated with the specified metric name. If there are multiple metrics with this name in different namespaces that have anomaly detection models, they're all returned.</p>
pub fn metric_name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inner = self.inner.metric_name(input.into());
self
}
/// <p>Limits the results to only the anomaly detection models that are associated with the specified metric name. If there are multiple metrics with this name in different namespaces that have anomaly detection models, they're all returned.</p>
pub fn set_metric_name(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.inner = self.inner.set_metric_name(input);
self
}
/// <p>Limits the results to only the anomaly detection models that are associated with the specified metric name. If there are multiple metrics with this name in different namespaces that have anomaly detection models, they're all returned.</p>
pub fn get_metric_name(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_metric_name()
}
///
/// Appends an item to `Dimensions`.
///
/// To override the contents of this collection use [`set_dimensions`](Self::set_dimensions).
///
/// <p>Limits the results to only the anomaly detection models that are associated with the specified metric dimensions. If there are multiple metrics that have these dimensions and have anomaly detection models associated, they're all returned.</p>
pub fn dimensions(mut self, input: crate::types::Dimension) -> Self {
self.inner = self.inner.dimensions(input);
self
}
/// <p>Limits the results to only the anomaly detection models that are associated with the specified metric dimensions. If there are multiple metrics that have these dimensions and have anomaly detection models associated, they're all returned.</p>
pub fn set_dimensions(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::Dimension>>) -> Self {
self.inner = self.inner.set_dimensions(input);
self
}
/// <p>Limits the results to only the anomaly detection models that are associated with the specified metric dimensions. If there are multiple metrics that have these dimensions and have anomaly detection models associated, they're all returned.</p>
pub fn get_dimensions(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::Dimension>> {
self.inner.get_dimensions()
}
///
/// Appends an item to `AnomalyDetectorTypes`.
///
/// To override the contents of this collection use [`set_anomaly_detector_types`](Self::set_anomaly_detector_types).
///
/// <p>The anomaly detector types to request when using <code>DescribeAnomalyDetectorsInput</code>. If empty, defaults to <code>SINGLE_METRIC</code>.</p>
pub fn anomaly_detector_types(mut self, input: crate::types::AnomalyDetectorType) -> Self {
self.inner = self.inner.anomaly_detector_types(input);
self
}
/// <p>The anomaly detector types to request when using <code>DescribeAnomalyDetectorsInput</code>. If empty, defaults to <code>SINGLE_METRIC</code>.</p>
pub fn set_anomaly_detector_types(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::AnomalyDetectorType>>) -> Self {
self.inner = self.inner.set_anomaly_detector_types(input);
self
}
/// <p>The anomaly detector types to request when using <code>DescribeAnomalyDetectorsInput</code>. If empty, defaults to <code>SINGLE_METRIC</code>.</p>
pub fn get_anomaly_detector_types(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::AnomalyDetectorType>> {
self.inner.get_anomaly_detector_types()
}
}