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// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
pub use crate::operation::get_experiment_results::_get_experiment_results_output::GetExperimentResultsOutputBuilder;
pub use crate::operation::get_experiment_results::_get_experiment_results_input::GetExperimentResultsInputBuilder;
impl crate::operation::get_experiment_results::builders::GetExperimentResultsInputBuilder {
/// Sends a request with this input using the given client.
pub async fn send_with(
self,
client: &crate::Client,
) -> ::std::result::Result<
crate::operation::get_experiment_results::GetExperimentResultsOutput,
::aws_smithy_runtime_api::client::result::SdkError<
crate::operation::get_experiment_results::GetExperimentResultsError,
::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
>,
> {
let mut fluent_builder = client.get_experiment_results();
fluent_builder.inner = self;
fluent_builder.send().await
}
}
/// Fluent builder constructing a request to `GetExperimentResults`.
///
/// <p>Retrieves the results of a running or completed experiment. No results are available until there have been 100 events for each variation and at least 10 minutes have passed since the start of the experiment. To increase the statistical power, Evidently performs an additional offline p-value analysis at the end of the experiment. Offline p-value analysis can detect statistical significance in some cases where the anytime p-values used during the experiment do not find statistical significance.</p>
/// <p>Experiment results are available up to 63 days after the start of the experiment. They are not available after that because of CloudWatch data retention policies.</p>
#[deprecated(note = "AWS CloudWatch Evidently has been deprecated since 11/17/2025.", since = "11/17/2025")]
#[derive(::std::clone::Clone, ::std::fmt::Debug)]
pub struct GetExperimentResultsFluentBuilder {
handle: ::std::sync::Arc<crate::client::Handle>,
inner: crate::operation::get_experiment_results::builders::GetExperimentResultsInputBuilder,
config_override: ::std::option::Option<crate::config::Builder>,
}
impl
crate::client::customize::internal::CustomizableSend<
crate::operation::get_experiment_results::GetExperimentResultsOutput,
crate::operation::get_experiment_results::GetExperimentResultsError,
> for GetExperimentResultsFluentBuilder
{
fn send(
self,
config_override: crate::config::Builder,
) -> crate::client::customize::internal::BoxFuture<
crate::client::customize::internal::SendResult<
crate::operation::get_experiment_results::GetExperimentResultsOutput,
crate::operation::get_experiment_results::GetExperimentResultsError,
>,
> {
::std::boxed::Box::pin(async move { self.config_override(config_override).send().await })
}
}
impl GetExperimentResultsFluentBuilder {
/// Creates a new `GetExperimentResultsFluentBuilder`.
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 GetExperimentResults as a reference.
pub fn as_input(&self) -> &crate::operation::get_experiment_results::builders::GetExperimentResultsInputBuilder {
&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::get_experiment_results::GetExperimentResultsOutput,
::aws_smithy_runtime_api::client::result::SdkError<
crate::operation::get_experiment_results::GetExperimentResultsError,
::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::get_experiment_results::GetExperimentResults::operation_runtime_plugins(
self.handle.runtime_plugins.clone(),
&self.handle.conf,
self.config_override,
);
crate::operation::get_experiment_results::GetExperimentResults::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::get_experiment_results::GetExperimentResultsOutput,
crate::operation::get_experiment_results::GetExperimentResultsError,
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 name or ARN of the project that contains the experiment that you want to see the results of.</p>
pub fn project(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inner = self.inner.project(input.into());
self
}
/// <p>The name or ARN of the project that contains the experiment that you want to see the results of.</p>
pub fn set_project(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.inner = self.inner.set_project(input);
self
}
/// <p>The name or ARN of the project that contains the experiment that you want to see the results of.</p>
pub fn get_project(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_project()
}
/// <p>The name of the experiment to retrieve the results of.</p>
pub fn experiment(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inner = self.inner.experiment(input.into());
self
}
/// <p>The name of the experiment to retrieve the results of.</p>
pub fn set_experiment(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.inner = self.inner.set_experiment(input);
self
}
/// <p>The name of the experiment to retrieve the results of.</p>
pub fn get_experiment(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_experiment()
}
/// <p>The date and time that the experiment started.</p>
pub fn start_time(mut self, input: ::aws_smithy_types::DateTime) -> Self {
self.inner = self.inner.start_time(input);
self
}
/// <p>The date and time that the experiment started.</p>
pub fn set_start_time(mut self, input: ::std::option::Option<::aws_smithy_types::DateTime>) -> Self {
self.inner = self.inner.set_start_time(input);
self
}
/// <p>The date and time that the experiment started.</p>
pub fn get_start_time(&self) -> &::std::option::Option<::aws_smithy_types::DateTime> {
self.inner.get_start_time()
}
/// <p>The date and time that the experiment ended, if it is completed. This must be no longer than 30 days after the experiment start time.</p>
pub fn end_time(mut self, input: ::aws_smithy_types::DateTime) -> Self {
self.inner = self.inner.end_time(input);
self
}
/// <p>The date and time that the experiment ended, if it is completed. This must be no longer than 30 days after the experiment start time.</p>
pub fn set_end_time(mut self, input: ::std::option::Option<::aws_smithy_types::DateTime>) -> Self {
self.inner = self.inner.set_end_time(input);
self
}
/// <p>The date and time that the experiment ended, if it is completed. This must be no longer than 30 days after the experiment start time.</p>
pub fn get_end_time(&self) -> &::std::option::Option<::aws_smithy_types::DateTime> {
self.inner.get_end_time()
}
///
/// Appends an item to `metricNames`.
///
/// To override the contents of this collection use [`set_metric_names`](Self::set_metric_names).
///
/// <p>The names of the experiment metrics that you want to see the results of.</p>
pub fn metric_names(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inner = self.inner.metric_names(input.into());
self
}
/// <p>The names of the experiment metrics that you want to see the results of.</p>
pub fn set_metric_names(mut self, input: ::std::option::Option<::std::vec::Vec<::std::string::String>>) -> Self {
self.inner = self.inner.set_metric_names(input);
self
}
/// <p>The names of the experiment metrics that you want to see the results of.</p>
pub fn get_metric_names(&self) -> &::std::option::Option<::std::vec::Vec<::std::string::String>> {
self.inner.get_metric_names()
}
///
/// Appends an item to `treatmentNames`.
///
/// To override the contents of this collection use [`set_treatment_names`](Self::set_treatment_names).
///
/// <p>The names of the experiment treatments that you want to see the results for.</p>
pub fn treatment_names(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inner = self.inner.treatment_names(input.into());
self
}
/// <p>The names of the experiment treatments that you want to see the results for.</p>
pub fn set_treatment_names(mut self, input: ::std::option::Option<::std::vec::Vec<::std::string::String>>) -> Self {
self.inner = self.inner.set_treatment_names(input);
self
}
/// <p>The names of the experiment treatments that you want to see the results for.</p>
pub fn get_treatment_names(&self) -> &::std::option::Option<::std::vec::Vec<::std::string::String>> {
self.inner.get_treatment_names()
}
/// <p>The statistic used to calculate experiment results. Currently the only valid value is <code>mean</code>, which uses the mean of the collected values as the statistic.</p>
pub fn base_stat(mut self, input: crate::types::ExperimentBaseStat) -> Self {
self.inner = self.inner.base_stat(input);
self
}
/// <p>The statistic used to calculate experiment results. Currently the only valid value is <code>mean</code>, which uses the mean of the collected values as the statistic.</p>
pub fn set_base_stat(mut self, input: ::std::option::Option<crate::types::ExperimentBaseStat>) -> Self {
self.inner = self.inner.set_base_stat(input);
self
}
/// <p>The statistic used to calculate experiment results. Currently the only valid value is <code>mean</code>, which uses the mean of the collected values as the statistic.</p>
pub fn get_base_stat(&self) -> &::std::option::Option<crate::types::ExperimentBaseStat> {
self.inner.get_base_stat()
}
///
/// Appends an item to `resultStats`.
///
/// To override the contents of this collection use [`set_result_stats`](Self::set_result_stats).
///
/// <p>The statistics that you want to see in the returned results.</p>
/// <ul>
/// <li>
/// <p><code>PValue</code> specifies to use p-values for the results. A p-value is used in hypothesis testing to measure how often you are willing to make a mistake in rejecting the null hypothesis. A general practice is to reject the null hypothesis and declare that the results are statistically significant when the p-value is less than 0.05.</p></li>
/// <li>
/// <p><code>ConfidenceInterval</code> specifies a confidence interval for the results. The confidence interval represents the range of values for the chosen metric that is likely to contain the true difference between the <code>baseStat</code> of a variation and the baseline. Evidently returns the 95% confidence interval.</p></li>
/// <li>
/// <p><code>TreatmentEffect</code> is the difference in the statistic specified by the <code>baseStat</code> parameter between each variation and the default variation.</p></li>
/// <li>
/// <p><code>BaseStat</code> returns the statistical values collected for the metric for each variation. The statistic uses the same statistic specified in the <code>baseStat</code> parameter. Therefore, if <code>baseStat</code> is <code>mean</code>, this returns the mean of the values collected for each variation.</p></li>
/// </ul>
pub fn result_stats(mut self, input: crate::types::ExperimentResultRequestType) -> Self {
self.inner = self.inner.result_stats(input);
self
}
/// <p>The statistics that you want to see in the returned results.</p>
/// <ul>
/// <li>
/// <p><code>PValue</code> specifies to use p-values for the results. A p-value is used in hypothesis testing to measure how often you are willing to make a mistake in rejecting the null hypothesis. A general practice is to reject the null hypothesis and declare that the results are statistically significant when the p-value is less than 0.05.</p></li>
/// <li>
/// <p><code>ConfidenceInterval</code> specifies a confidence interval for the results. The confidence interval represents the range of values for the chosen metric that is likely to contain the true difference between the <code>baseStat</code> of a variation and the baseline. Evidently returns the 95% confidence interval.</p></li>
/// <li>
/// <p><code>TreatmentEffect</code> is the difference in the statistic specified by the <code>baseStat</code> parameter between each variation and the default variation.</p></li>
/// <li>
/// <p><code>BaseStat</code> returns the statistical values collected for the metric for each variation. The statistic uses the same statistic specified in the <code>baseStat</code> parameter. Therefore, if <code>baseStat</code> is <code>mean</code>, this returns the mean of the values collected for each variation.</p></li>
/// </ul>
pub fn set_result_stats(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::ExperimentResultRequestType>>) -> Self {
self.inner = self.inner.set_result_stats(input);
self
}
/// <p>The statistics that you want to see in the returned results.</p>
/// <ul>
/// <li>
/// <p><code>PValue</code> specifies to use p-values for the results. A p-value is used in hypothesis testing to measure how often you are willing to make a mistake in rejecting the null hypothesis. A general practice is to reject the null hypothesis and declare that the results are statistically significant when the p-value is less than 0.05.</p></li>
/// <li>
/// <p><code>ConfidenceInterval</code> specifies a confidence interval for the results. The confidence interval represents the range of values for the chosen metric that is likely to contain the true difference between the <code>baseStat</code> of a variation and the baseline. Evidently returns the 95% confidence interval.</p></li>
/// <li>
/// <p><code>TreatmentEffect</code> is the difference in the statistic specified by the <code>baseStat</code> parameter between each variation and the default variation.</p></li>
/// <li>
/// <p><code>BaseStat</code> returns the statistical values collected for the metric for each variation. The statistic uses the same statistic specified in the <code>baseStat</code> parameter. Therefore, if <code>baseStat</code> is <code>mean</code>, this returns the mean of the values collected for each variation.</p></li>
/// </ul>
pub fn get_result_stats(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::ExperimentResultRequestType>> {
self.inner.get_result_stats()
}
///
/// Appends an item to `reportNames`.
///
/// To override the contents of this collection use [`set_report_names`](Self::set_report_names).
///
/// <p>The names of the report types that you want to see. Currently, <code>BayesianInference</code> is the only valid value.</p>
pub fn report_names(mut self, input: crate::types::ExperimentReportName) -> Self {
self.inner = self.inner.report_names(input);
self
}
/// <p>The names of the report types that you want to see. Currently, <code>BayesianInference</code> is the only valid value.</p>
pub fn set_report_names(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::ExperimentReportName>>) -> Self {
self.inner = self.inner.set_report_names(input);
self
}
/// <p>The names of the report types that you want to see. Currently, <code>BayesianInference</code> is the only valid value.</p>
pub fn get_report_names(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::ExperimentReportName>> {
self.inner.get_report_names()
}
/// <p>In seconds, the amount of time to aggregate results together.</p>
pub fn period(mut self, input: i64) -> Self {
self.inner = self.inner.period(input);
self
}
/// <p>In seconds, the amount of time to aggregate results together.</p>
pub fn set_period(mut self, input: ::std::option::Option<i64>) -> Self {
self.inner = self.inner.set_period(input);
self
}
/// <p>In seconds, the amount of time to aggregate results together.</p>
pub fn get_period(&self) -> &::std::option::Option<i64> {
self.inner.get_period()
}
}