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// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.

/// <p>Describes a utilization metric of an Lambda function.</p>
#[non_exhaustive]
#[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::fmt::Debug)]
pub struct LambdaFunctionUtilizationMetric {
    /// <p>The name of the utilization metric.</p>
    /// <p>The following utilization metrics are available:</p>
    /// <ul>
    /// <li>
    /// <p><code>Duration</code> - The amount of time that your function code spends processing an event.</p></li>
    /// <li>
    /// <p><code>Memory</code> - The amount of memory used per invocation.</p></li>
    /// </ul>
    pub name: ::std::option::Option<crate::types::LambdaFunctionMetricName>,
    /// <p>The statistic of the utilization metric.</p>
    /// <p>The Compute Optimizer API, Command Line Interface (CLI), and SDKs return utilization metrics using only the <code>Maximum</code> statistic, which is the highest value observed during the specified period.</p>
    /// <p>The Compute Optimizer console displays graphs for some utilization metrics using the <code>Average</code> statistic, which is the value of <code>Sum</code> / <code>SampleCount</code> during the specified period. For more information, see <a href="https://docs.aws.amazon.com/compute-optimizer/latest/ug/viewing-recommendations.html">Viewing resource recommendations</a> in the <i>Compute Optimizer User Guide</i>. You can also get averaged utilization metric data for your resources using Amazon CloudWatch. For more information, see the <a href="https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/WhatIsCloudWatch.html">Amazon CloudWatch User Guide</a>.</p>
    pub statistic: ::std::option::Option<crate::types::LambdaFunctionMetricStatistic>,
    /// <p>The value of the utilization metric.</p>
    pub value: f64,
}
impl LambdaFunctionUtilizationMetric {
    /// <p>The name of the utilization metric.</p>
    /// <p>The following utilization metrics are available:</p>
    /// <ul>
    /// <li>
    /// <p><code>Duration</code> - The amount of time that your function code spends processing an event.</p></li>
    /// <li>
    /// <p><code>Memory</code> - The amount of memory used per invocation.</p></li>
    /// </ul>
    pub fn name(&self) -> ::std::option::Option<&crate::types::LambdaFunctionMetricName> {
        self.name.as_ref()
    }
    /// <p>The statistic of the utilization metric.</p>
    /// <p>The Compute Optimizer API, Command Line Interface (CLI), and SDKs return utilization metrics using only the <code>Maximum</code> statistic, which is the highest value observed during the specified period.</p>
    /// <p>The Compute Optimizer console displays graphs for some utilization metrics using the <code>Average</code> statistic, which is the value of <code>Sum</code> / <code>SampleCount</code> during the specified period. For more information, see <a href="https://docs.aws.amazon.com/compute-optimizer/latest/ug/viewing-recommendations.html">Viewing resource recommendations</a> in the <i>Compute Optimizer User Guide</i>. You can also get averaged utilization metric data for your resources using Amazon CloudWatch. For more information, see the <a href="https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/WhatIsCloudWatch.html">Amazon CloudWatch User Guide</a>.</p>
    pub fn statistic(&self) -> ::std::option::Option<&crate::types::LambdaFunctionMetricStatistic> {
        self.statistic.as_ref()
    }
    /// <p>The value of the utilization metric.</p>
    pub fn value(&self) -> f64 {
        self.value
    }
}
impl LambdaFunctionUtilizationMetric {
    /// Creates a new builder-style object to manufacture [`LambdaFunctionUtilizationMetric`](crate::types::LambdaFunctionUtilizationMetric).
    pub fn builder() -> crate::types::builders::LambdaFunctionUtilizationMetricBuilder {
        crate::types::builders::LambdaFunctionUtilizationMetricBuilder::default()
    }
}

/// A builder for [`LambdaFunctionUtilizationMetric`](crate::types::LambdaFunctionUtilizationMetric).
#[non_exhaustive]
#[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::default::Default, ::std::fmt::Debug)]
pub struct LambdaFunctionUtilizationMetricBuilder {
    pub(crate) name: ::std::option::Option<crate::types::LambdaFunctionMetricName>,
    pub(crate) statistic: ::std::option::Option<crate::types::LambdaFunctionMetricStatistic>,
    pub(crate) value: ::std::option::Option<f64>,
}
impl LambdaFunctionUtilizationMetricBuilder {
    /// <p>The name of the utilization metric.</p>
    /// <p>The following utilization metrics are available:</p>
    /// <ul>
    /// <li>
    /// <p><code>Duration</code> - The amount of time that your function code spends processing an event.</p></li>
    /// <li>
    /// <p><code>Memory</code> - The amount of memory used per invocation.</p></li>
    /// </ul>
    pub fn name(mut self, input: crate::types::LambdaFunctionMetricName) -> Self {
        self.name = ::std::option::Option::Some(input);
        self
    }
    /// <p>The name of the utilization metric.</p>
    /// <p>The following utilization metrics are available:</p>
    /// <ul>
    /// <li>
    /// <p><code>Duration</code> - The amount of time that your function code spends processing an event.</p></li>
    /// <li>
    /// <p><code>Memory</code> - The amount of memory used per invocation.</p></li>
    /// </ul>
    pub fn set_name(mut self, input: ::std::option::Option<crate::types::LambdaFunctionMetricName>) -> Self {
        self.name = input;
        self
    }
    /// <p>The name of the utilization metric.</p>
    /// <p>The following utilization metrics are available:</p>
    /// <ul>
    /// <li>
    /// <p><code>Duration</code> - The amount of time that your function code spends processing an event.</p></li>
    /// <li>
    /// <p><code>Memory</code> - The amount of memory used per invocation.</p></li>
    /// </ul>
    pub fn get_name(&self) -> &::std::option::Option<crate::types::LambdaFunctionMetricName> {
        &self.name
    }
    /// <p>The statistic of the utilization metric.</p>
    /// <p>The Compute Optimizer API, Command Line Interface (CLI), and SDKs return utilization metrics using only the <code>Maximum</code> statistic, which is the highest value observed during the specified period.</p>
    /// <p>The Compute Optimizer console displays graphs for some utilization metrics using the <code>Average</code> statistic, which is the value of <code>Sum</code> / <code>SampleCount</code> during the specified period. For more information, see <a href="https://docs.aws.amazon.com/compute-optimizer/latest/ug/viewing-recommendations.html">Viewing resource recommendations</a> in the <i>Compute Optimizer User Guide</i>. You can also get averaged utilization metric data for your resources using Amazon CloudWatch. For more information, see the <a href="https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/WhatIsCloudWatch.html">Amazon CloudWatch User Guide</a>.</p>
    pub fn statistic(mut self, input: crate::types::LambdaFunctionMetricStatistic) -> Self {
        self.statistic = ::std::option::Option::Some(input);
        self
    }
    /// <p>The statistic of the utilization metric.</p>
    /// <p>The Compute Optimizer API, Command Line Interface (CLI), and SDKs return utilization metrics using only the <code>Maximum</code> statistic, which is the highest value observed during the specified period.</p>
    /// <p>The Compute Optimizer console displays graphs for some utilization metrics using the <code>Average</code> statistic, which is the value of <code>Sum</code> / <code>SampleCount</code> during the specified period. For more information, see <a href="https://docs.aws.amazon.com/compute-optimizer/latest/ug/viewing-recommendations.html">Viewing resource recommendations</a> in the <i>Compute Optimizer User Guide</i>. You can also get averaged utilization metric data for your resources using Amazon CloudWatch. For more information, see the <a href="https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/WhatIsCloudWatch.html">Amazon CloudWatch User Guide</a>.</p>
    pub fn set_statistic(mut self, input: ::std::option::Option<crate::types::LambdaFunctionMetricStatistic>) -> Self {
        self.statistic = input;
        self
    }
    /// <p>The statistic of the utilization metric.</p>
    /// <p>The Compute Optimizer API, Command Line Interface (CLI), and SDKs return utilization metrics using only the <code>Maximum</code> statistic, which is the highest value observed during the specified period.</p>
    /// <p>The Compute Optimizer console displays graphs for some utilization metrics using the <code>Average</code> statistic, which is the value of <code>Sum</code> / <code>SampleCount</code> during the specified period. For more information, see <a href="https://docs.aws.amazon.com/compute-optimizer/latest/ug/viewing-recommendations.html">Viewing resource recommendations</a> in the <i>Compute Optimizer User Guide</i>. You can also get averaged utilization metric data for your resources using Amazon CloudWatch. For more information, see the <a href="https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/WhatIsCloudWatch.html">Amazon CloudWatch User Guide</a>.</p>
    pub fn get_statistic(&self) -> &::std::option::Option<crate::types::LambdaFunctionMetricStatistic> {
        &self.statistic
    }
    /// <p>The value of the utilization metric.</p>
    pub fn value(mut self, input: f64) -> Self {
        self.value = ::std::option::Option::Some(input);
        self
    }
    /// <p>The value of the utilization metric.</p>
    pub fn set_value(mut self, input: ::std::option::Option<f64>) -> Self {
        self.value = input;
        self
    }
    /// <p>The value of the utilization metric.</p>
    pub fn get_value(&self) -> &::std::option::Option<f64> {
        &self.value
    }
    /// Consumes the builder and constructs a [`LambdaFunctionUtilizationMetric`](crate::types::LambdaFunctionUtilizationMetric).
    pub fn build(self) -> crate::types::LambdaFunctionUtilizationMetric {
        crate::types::LambdaFunctionUtilizationMetric {
            name: self.name,
            statistic: self.statistic,
            value: self.value.unwrap_or_default(),
        }
    }
}