_filter.rs

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

/// <p>Describes a filter that returns a more specific list of recommendations. Use this filter with the <code>GetAutoScalingGroupRecommendations</code> and <code>GetEC2InstanceRecommendations</code> actions.</p>
/// <p>You can use <code>EBSFilter</code> with the <code>GetEBSVolumeRecommendations</code> action, <code>LambdaFunctionRecommendationFilter</code> with the <code>GetLambdaFunctionRecommendations</code> action, and <code>JobFilter</code> with the <code>DescribeRecommendationExportJobs</code> action.</p>
#[non_exhaustive]
#[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::fmt::Debug)]
pub struct Filter  {
    /// <p>The name of the filter.</p>
    /// <p>Specify <code>Finding</code> to return recommendations with a specific finding classification. For example, <code>Underprovisioned</code>.</p>
    /// <p>Specify <code>RecommendationSourceType</code> to return recommendations of a specific resource type. For example, <code>Ec2Instance</code>.</p>
    /// <p>Specify <code>FindingReasonCodes</code> to return recommendations with a specific finding reason code. For example, <code>CPUUnderprovisioned</code>.</p>
    /// <p>Specify <code>InferredWorkloadTypes</code> to return recommendations of a specific inferred workload. For example, <code>Redis</code>.</p>
    /// <p>You can filter your EC2 instance recommendations by <code>tag:key</code> and <code>tag-key</code> tags.</p>
    /// <p>A <code>tag:key</code> is a key and value combination of a tag assigned to your recommendations. Use the tag key in the filter name and the tag value as the filter value. For example, to find all recommendations that have a tag with the key of <code>Owner</code> and the value of <code>TeamA</code>, specify <code>tag:Owner</code> for the filter name and <code>TeamA</code> for the filter value.</p>
    /// <p>A <code>tag-key</code> is the key of a tag assigned to your recommendations. Use this filter to find all of your recommendations that have a tag with a specific key. This doesn’t consider the tag value. For example, you can find your recommendations with a tag key value of <code>Owner</code> or without any tag keys assigned.</p>
    pub name: ::std::option::Option<crate::types::FilterName>,
    /// <p>The value of the filter.</p>
    /// <p>The valid values for this parameter are as follows, depending on what you specify for the <code>name</code> parameter and the resource type that you wish to filter results for:</p>
    /// <ul>
    /// <li>
    /// <p>Specify <code>Optimized</code> or <code>NotOptimized</code> if you specify the <code>name</code> parameter as <code>Finding</code> and you want to filter results for Auto Scaling groups.</p></li>
    /// <li>
    /// <p>Specify <code>Underprovisioned</code>, <code>Overprovisioned</code>, or <code>Optimized</code> if you specify the <code>name</code> parameter as <code>Finding</code> and you want to filter results for EC2 instances.</p></li>
    /// <li>
    /// <p>Specify <code>Ec2Instance</code> or <code>AutoScalingGroup</code> if you specify the <code>name</code> parameter as <code>RecommendationSourceType</code>.</p></li>
    /// <li>
    /// <p>Specify one of the following options if you specify the <code>name</code> parameter as <code>FindingReasonCodes</code>:</p>
    /// <ul>
    /// <li>
    /// <p><b> <code>CPUOverprovisioned</code> </b> — The instance’s CPU configuration can be sized down while still meeting the performance requirements of your workload.</p></li>
    /// <li>
    /// <p><b> <code>CPUUnderprovisioned</code> </b> — The instance’s CPU configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better CPU performance.</p></li>
    /// <li>
    /// <p><b> <code>MemoryOverprovisioned</code> </b> — The instance’s memory configuration can be sized down while still meeting the performance requirements of your workload.</p></li>
    /// <li>
    /// <p><b> <code>MemoryUnderprovisioned</code> </b> — The instance’s memory configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better memory performance.</p></li>
    /// <li>
    /// <p><b> <code>EBSThroughputOverprovisioned</code> </b> — The instance’s EBS throughput configuration can be sized down while still meeting the performance requirements of your workload.</p></li>
    /// <li>
    /// <p><b> <code>EBSThroughputUnderprovisioned</code> </b> — The instance’s EBS throughput configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better EBS throughput performance.</p></li>
    /// <li>
    /// <p><b> <code>EBSIOPSOverprovisioned</code> </b> — The instance’s EBS IOPS configuration can be sized down while still meeting the performance requirements of your workload.</p></li>
    /// <li>
    /// <p><b> <code>EBSIOPSUnderprovisioned</code> </b> — The instance’s EBS IOPS configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better EBS IOPS performance.</p></li>
    /// <li>
    /// <p><b> <code>NetworkBandwidthOverprovisioned</code> </b> — The instance’s network bandwidth configuration can be sized down while still meeting the performance requirements of your workload.</p></li>
    /// <li>
    /// <p><b> <code>NetworkBandwidthUnderprovisioned</code> </b> — The instance’s network bandwidth configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better network bandwidth performance. This finding reason happens when the <code>NetworkIn</code> or <code>NetworkOut</code> performance of an instance is impacted.</p></li>
    /// <li>
    /// <p><b> <code>NetworkPPSOverprovisioned</code> </b> — The instance’s network PPS (packets per second) configuration can be sized down while still meeting the performance requirements of your workload.</p></li>
    /// <li>
    /// <p><b> <code>NetworkPPSUnderprovisioned</code> </b> — The instance’s network PPS (packets per second) configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better network PPS performance.</p></li>
    /// <li>
    /// <p><b> <code>DiskIOPSOverprovisioned</code> </b> — The instance’s disk IOPS configuration can be sized down while still meeting the performance requirements of your workload.</p></li>
    /// <li>
    /// <p><b> <code>DiskIOPSUnderprovisioned</code> </b> — The instance’s disk IOPS configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better disk IOPS performance.</p></li>
    /// <li>
    /// <p><b> <code>DiskThroughputOverprovisioned</code> </b> — The instance’s disk throughput configuration can be sized down while still meeting the performance requirements of your workload.</p></li>
    /// <li>
    /// <p><b> <code>DiskThroughputUnderprovisioned</code> </b> — The instance’s disk throughput configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better disk throughput performance.</p></li>
    /// </ul></li>
    /// </ul>
    pub values: ::std::option::Option<::std::vec::Vec::<::std::string::String>>,
}
impl  Filter  {
    /// <p>The name of the filter.</p>
    /// <p>Specify <code>Finding</code> to return recommendations with a specific finding classification. For example, <code>Underprovisioned</code>.</p>
    /// <p>Specify <code>RecommendationSourceType</code> to return recommendations of a specific resource type. For example, <code>Ec2Instance</code>.</p>
    /// <p>Specify <code>FindingReasonCodes</code> to return recommendations with a specific finding reason code. For example, <code>CPUUnderprovisioned</code>.</p>
    /// <p>Specify <code>InferredWorkloadTypes</code> to return recommendations of a specific inferred workload. For example, <code>Redis</code>.</p>
    /// <p>You can filter your EC2 instance recommendations by <code>tag:key</code> and <code>tag-key</code> tags.</p>
    /// <p>A <code>tag:key</code> is a key and value combination of a tag assigned to your recommendations. Use the tag key in the filter name and the tag value as the filter value. For example, to find all recommendations that have a tag with the key of <code>Owner</code> and the value of <code>TeamA</code>, specify <code>tag:Owner</code> for the filter name and <code>TeamA</code> for the filter value.</p>
    /// <p>A <code>tag-key</code> is the key of a tag assigned to your recommendations. Use this filter to find all of your recommendations that have a tag with a specific key. This doesn’t consider the tag value. For example, you can find your recommendations with a tag key value of <code>Owner</code> or without any tag keys assigned.</p>
    pub fn name(&self) -> ::std::option::Option<& crate::types::FilterName> {
        self.name.as_ref()
    }
    /// <p>The value of the filter.</p>
    /// <p>The valid values for this parameter are as follows, depending on what you specify for the <code>name</code> parameter and the resource type that you wish to filter results for:</p>
    /// <ul>
    /// <li>
    /// <p>Specify <code>Optimized</code> or <code>NotOptimized</code> if you specify the <code>name</code> parameter as <code>Finding</code> and you want to filter results for Auto Scaling groups.</p></li>
    /// <li>
    /// <p>Specify <code>Underprovisioned</code>, <code>Overprovisioned</code>, or <code>Optimized</code> if you specify the <code>name</code> parameter as <code>Finding</code> and you want to filter results for EC2 instances.</p></li>
    /// <li>
    /// <p>Specify <code>Ec2Instance</code> or <code>AutoScalingGroup</code> if you specify the <code>name</code> parameter as <code>RecommendationSourceType</code>.</p></li>
    /// <li>
    /// <p>Specify one of the following options if you specify the <code>name</code> parameter as <code>FindingReasonCodes</code>:</p>
    /// <ul>
    /// <li>
    /// <p><b> <code>CPUOverprovisioned</code> </b> — The instance’s CPU configuration can be sized down while still meeting the performance requirements of your workload.</p></li>
    /// <li>
    /// <p><b> <code>CPUUnderprovisioned</code> </b> — The instance’s CPU configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better CPU performance.</p></li>
    /// <li>
    /// <p><b> <code>MemoryOverprovisioned</code> </b> — The instance’s memory configuration can be sized down while still meeting the performance requirements of your workload.</p></li>
    /// <li>
    /// <p><b> <code>MemoryUnderprovisioned</code> </b> — The instance’s memory configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better memory performance.</p></li>
    /// <li>
    /// <p><b> <code>EBSThroughputOverprovisioned</code> </b> — The instance’s EBS throughput configuration can be sized down while still meeting the performance requirements of your workload.</p></li>
    /// <li>
    /// <p><b> <code>EBSThroughputUnderprovisioned</code> </b> — The instance’s EBS throughput configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better EBS throughput performance.</p></li>
    /// <li>
    /// <p><b> <code>EBSIOPSOverprovisioned</code> </b> — The instance’s EBS IOPS configuration can be sized down while still meeting the performance requirements of your workload.</p></li>
    /// <li>
    /// <p><b> <code>EBSIOPSUnderprovisioned</code> </b> — The instance’s EBS IOPS configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better EBS IOPS performance.</p></li>
    /// <li>
    /// <p><b> <code>NetworkBandwidthOverprovisioned</code> </b> — The instance’s network bandwidth configuration can be sized down while still meeting the performance requirements of your workload.</p></li>
    /// <li>
    /// <p><b> <code>NetworkBandwidthUnderprovisioned</code> </b> — The instance’s network bandwidth configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better network bandwidth performance. This finding reason happens when the <code>NetworkIn</code> or <code>NetworkOut</code> performance of an instance is impacted.</p></li>
    /// <li>
    /// <p><b> <code>NetworkPPSOverprovisioned</code> </b> — The instance’s network PPS (packets per second) configuration can be sized down while still meeting the performance requirements of your workload.</p></li>
    /// <li>
    /// <p><b> <code>NetworkPPSUnderprovisioned</code> </b> — The instance’s network PPS (packets per second) configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better network PPS performance.</p></li>
    /// <li>
    /// <p><b> <code>DiskIOPSOverprovisioned</code> </b> — The instance’s disk IOPS configuration can be sized down while still meeting the performance requirements of your workload.</p></li>
    /// <li>
    /// <p><b> <code>DiskIOPSUnderprovisioned</code> </b> — The instance’s disk IOPS configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better disk IOPS performance.</p></li>
    /// <li>
    /// <p><b> <code>DiskThroughputOverprovisioned</code> </b> — The instance’s disk throughput configuration can be sized down while still meeting the performance requirements of your workload.</p></li>
    /// <li>
    /// <p><b> <code>DiskThroughputUnderprovisioned</code> </b> — The instance’s disk throughput configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better disk throughput performance.</p></li>
    /// </ul></li>
    /// </ul>
    /// 
    /// If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use `.values.is_none()`.
    pub fn values(&self) -> & [::std::string::String] {
        self.values.as_deref()
        .unwrap_or_default()
    }
}
impl Filter {
    /// Creates a new builder-style object to manufacture [`Filter`](crate::types::Filter).
    pub fn builder() -> crate::types::builders::FilterBuilder {
        crate::types::builders::FilterBuilder::default()
    }
}

/// A builder for [`Filter`](crate::types::Filter).
#[non_exhaustive]
#[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::default::Default, ::std::fmt::Debug)]
pub struct FilterBuilder {
    pub(crate) name: ::std::option::Option<crate::types::FilterName>,
    pub(crate) values: ::std::option::Option<::std::vec::Vec::<::std::string::String>>,
}
impl FilterBuilder {
    /// <p>The name of the filter.</p>
    /// <p>Specify <code>Finding</code> to return recommendations with a specific finding classification. For example, <code>Underprovisioned</code>.</p>
    /// <p>Specify <code>RecommendationSourceType</code> to return recommendations of a specific resource type. For example, <code>Ec2Instance</code>.</p>
    /// <p>Specify <code>FindingReasonCodes</code> to return recommendations with a specific finding reason code. For example, <code>CPUUnderprovisioned</code>.</p>
    /// <p>Specify <code>InferredWorkloadTypes</code> to return recommendations of a specific inferred workload. For example, <code>Redis</code>.</p>
    /// <p>You can filter your EC2 instance recommendations by <code>tag:key</code> and <code>tag-key</code> tags.</p>
    /// <p>A <code>tag:key</code> is a key and value combination of a tag assigned to your recommendations. Use the tag key in the filter name and the tag value as the filter value. For example, to find all recommendations that have a tag with the key of <code>Owner</code> and the value of <code>TeamA</code>, specify <code>tag:Owner</code> for the filter name and <code>TeamA</code> for the filter value.</p>
    /// <p>A <code>tag-key</code> is the key of a tag assigned to your recommendations. Use this filter to find all of your recommendations that have a tag with a specific key. This doesn’t consider the tag value. For example, you can find your recommendations with a tag key value of <code>Owner</code> or without any tag keys assigned.</p>
    pub fn name(mut self, input: crate::types::FilterName) -> Self {
        self.name = ::std::option::Option::Some(input);
        self
    }
    /// <p>The name of the filter.</p>
    /// <p>Specify <code>Finding</code> to return recommendations with a specific finding classification. For example, <code>Underprovisioned</code>.</p>
    /// <p>Specify <code>RecommendationSourceType</code> to return recommendations of a specific resource type. For example, <code>Ec2Instance</code>.</p>
    /// <p>Specify <code>FindingReasonCodes</code> to return recommendations with a specific finding reason code. For example, <code>CPUUnderprovisioned</code>.</p>
    /// <p>Specify <code>InferredWorkloadTypes</code> to return recommendations of a specific inferred workload. For example, <code>Redis</code>.</p>
    /// <p>You can filter your EC2 instance recommendations by <code>tag:key</code> and <code>tag-key</code> tags.</p>
    /// <p>A <code>tag:key</code> is a key and value combination of a tag assigned to your recommendations. Use the tag key in the filter name and the tag value as the filter value. For example, to find all recommendations that have a tag with the key of <code>Owner</code> and the value of <code>TeamA</code>, specify <code>tag:Owner</code> for the filter name and <code>TeamA</code> for the filter value.</p>
    /// <p>A <code>tag-key</code> is the key of a tag assigned to your recommendations. Use this filter to find all of your recommendations that have a tag with a specific key. This doesn’t consider the tag value. For example, you can find your recommendations with a tag key value of <code>Owner</code> or without any tag keys assigned.</p>
    pub fn set_name(mut self, input: ::std::option::Option<crate::types::FilterName>) -> Self {
        self.name = input; self
    }
    /// <p>The name of the filter.</p>
    /// <p>Specify <code>Finding</code> to return recommendations with a specific finding classification. For example, <code>Underprovisioned</code>.</p>
    /// <p>Specify <code>RecommendationSourceType</code> to return recommendations of a specific resource type. For example, <code>Ec2Instance</code>.</p>
    /// <p>Specify <code>FindingReasonCodes</code> to return recommendations with a specific finding reason code. For example, <code>CPUUnderprovisioned</code>.</p>
    /// <p>Specify <code>InferredWorkloadTypes</code> to return recommendations of a specific inferred workload. For example, <code>Redis</code>.</p>
    /// <p>You can filter your EC2 instance recommendations by <code>tag:key</code> and <code>tag-key</code> tags.</p>
    /// <p>A <code>tag:key</code> is a key and value combination of a tag assigned to your recommendations. Use the tag key in the filter name and the tag value as the filter value. For example, to find all recommendations that have a tag with the key of <code>Owner</code> and the value of <code>TeamA</code>, specify <code>tag:Owner</code> for the filter name and <code>TeamA</code> for the filter value.</p>
    /// <p>A <code>tag-key</code> is the key of a tag assigned to your recommendations. Use this filter to find all of your recommendations that have a tag with a specific key. This doesn’t consider the tag value. For example, you can find your recommendations with a tag key value of <code>Owner</code> or without any tag keys assigned.</p>
    pub fn get_name(&self) -> &::std::option::Option<crate::types::FilterName> {
        &self.name
    }
    /// Appends an item to `values`.
    ///
    /// To override the contents of this collection use [`set_values`](Self::set_values).
    ///
    /// <p>The value of the filter.</p>
    /// <p>The valid values for this parameter are as follows, depending on what you specify for the <code>name</code> parameter and the resource type that you wish to filter results for:</p>
    /// <ul>
    /// <li>
    /// <p>Specify <code>Optimized</code> or <code>NotOptimized</code> if you specify the <code>name</code> parameter as <code>Finding</code> and you want to filter results for Auto Scaling groups.</p></li>
    /// <li>
    /// <p>Specify <code>Underprovisioned</code>, <code>Overprovisioned</code>, or <code>Optimized</code> if you specify the <code>name</code> parameter as <code>Finding</code> and you want to filter results for EC2 instances.</p></li>
    /// <li>
    /// <p>Specify <code>Ec2Instance</code> or <code>AutoScalingGroup</code> if you specify the <code>name</code> parameter as <code>RecommendationSourceType</code>.</p></li>
    /// <li>
    /// <p>Specify one of the following options if you specify the <code>name</code> parameter as <code>FindingReasonCodes</code>:</p>
    /// <ul>
    /// <li>
    /// <p><b> <code>CPUOverprovisioned</code> </b> — The instance’s CPU configuration can be sized down while still meeting the performance requirements of your workload.</p></li>
    /// <li>
    /// <p><b> <code>CPUUnderprovisioned</code> </b> — The instance’s CPU configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better CPU performance.</p></li>
    /// <li>
    /// <p><b> <code>MemoryOverprovisioned</code> </b> — The instance’s memory configuration can be sized down while still meeting the performance requirements of your workload.</p></li>
    /// <li>
    /// <p><b> <code>MemoryUnderprovisioned</code> </b> — The instance’s memory configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better memory performance.</p></li>
    /// <li>
    /// <p><b> <code>EBSThroughputOverprovisioned</code> </b> — The instance’s EBS throughput configuration can be sized down while still meeting the performance requirements of your workload.</p></li>
    /// <li>
    /// <p><b> <code>EBSThroughputUnderprovisioned</code> </b> — The instance’s EBS throughput configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better EBS throughput performance.</p></li>
    /// <li>
    /// <p><b> <code>EBSIOPSOverprovisioned</code> </b> — The instance’s EBS IOPS configuration can be sized down while still meeting the performance requirements of your workload.</p></li>
    /// <li>
    /// <p><b> <code>EBSIOPSUnderprovisioned</code> </b> — The instance’s EBS IOPS configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better EBS IOPS performance.</p></li>
    /// <li>
    /// <p><b> <code>NetworkBandwidthOverprovisioned</code> </b> — The instance’s network bandwidth configuration can be sized down while still meeting the performance requirements of your workload.</p></li>
    /// <li>
    /// <p><b> <code>NetworkBandwidthUnderprovisioned</code> </b> — The instance’s network bandwidth configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better network bandwidth performance. This finding reason happens when the <code>NetworkIn</code> or <code>NetworkOut</code> performance of an instance is impacted.</p></li>
    /// <li>
    /// <p><b> <code>NetworkPPSOverprovisioned</code> </b> — The instance’s network PPS (packets per second) configuration can be sized down while still meeting the performance requirements of your workload.</p></li>
    /// <li>
    /// <p><b> <code>NetworkPPSUnderprovisioned</code> </b> — The instance’s network PPS (packets per second) configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better network PPS performance.</p></li>
    /// <li>
    /// <p><b> <code>DiskIOPSOverprovisioned</code> </b> — The instance’s disk IOPS configuration can be sized down while still meeting the performance requirements of your workload.</p></li>
    /// <li>
    /// <p><b> <code>DiskIOPSUnderprovisioned</code> </b> — The instance’s disk IOPS configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better disk IOPS performance.</p></li>
    /// <li>
    /// <p><b> <code>DiskThroughputOverprovisioned</code> </b> — The instance’s disk throughput configuration can be sized down while still meeting the performance requirements of your workload.</p></li>
    /// <li>
    /// <p><b> <code>DiskThroughputUnderprovisioned</code> </b> — The instance’s disk throughput configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better disk throughput performance.</p></li>
    /// </ul></li>
    /// </ul>
    pub fn values(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        let mut v = self.values.unwrap_or_default();
                        v.push(input.into());
                        self.values = ::std::option::Option::Some(v);
                        self
    }
    /// <p>The value of the filter.</p>
    /// <p>The valid values for this parameter are as follows, depending on what you specify for the <code>name</code> parameter and the resource type that you wish to filter results for:</p>
    /// <ul>
    /// <li>
    /// <p>Specify <code>Optimized</code> or <code>NotOptimized</code> if you specify the <code>name</code> parameter as <code>Finding</code> and you want to filter results for Auto Scaling groups.</p></li>
    /// <li>
    /// <p>Specify <code>Underprovisioned</code>, <code>Overprovisioned</code>, or <code>Optimized</code> if you specify the <code>name</code> parameter as <code>Finding</code> and you want to filter results for EC2 instances.</p></li>
    /// <li>
    /// <p>Specify <code>Ec2Instance</code> or <code>AutoScalingGroup</code> if you specify the <code>name</code> parameter as <code>RecommendationSourceType</code>.</p></li>
    /// <li>
    /// <p>Specify one of the following options if you specify the <code>name</code> parameter as <code>FindingReasonCodes</code>:</p>
    /// <ul>
    /// <li>
    /// <p><b> <code>CPUOverprovisioned</code> </b> — The instance’s CPU configuration can be sized down while still meeting the performance requirements of your workload.</p></li>
    /// <li>
    /// <p><b> <code>CPUUnderprovisioned</code> </b> — The instance’s CPU configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better CPU performance.</p></li>
    /// <li>
    /// <p><b> <code>MemoryOverprovisioned</code> </b> — The instance’s memory configuration can be sized down while still meeting the performance requirements of your workload.</p></li>
    /// <li>
    /// <p><b> <code>MemoryUnderprovisioned</code> </b> — The instance’s memory configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better memory performance.</p></li>
    /// <li>
    /// <p><b> <code>EBSThroughputOverprovisioned</code> </b> — The instance’s EBS throughput configuration can be sized down while still meeting the performance requirements of your workload.</p></li>
    /// <li>
    /// <p><b> <code>EBSThroughputUnderprovisioned</code> </b> — The instance’s EBS throughput configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better EBS throughput performance.</p></li>
    /// <li>
    /// <p><b> <code>EBSIOPSOverprovisioned</code> </b> — The instance’s EBS IOPS configuration can be sized down while still meeting the performance requirements of your workload.</p></li>
    /// <li>
    /// <p><b> <code>EBSIOPSUnderprovisioned</code> </b> — The instance’s EBS IOPS configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better EBS IOPS performance.</p></li>
    /// <li>
    /// <p><b> <code>NetworkBandwidthOverprovisioned</code> </b> — The instance’s network bandwidth configuration can be sized down while still meeting the performance requirements of your workload.</p></li>
    /// <li>
    /// <p><b> <code>NetworkBandwidthUnderprovisioned</code> </b> — The instance’s network bandwidth configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better network bandwidth performance. This finding reason happens when the <code>NetworkIn</code> or <code>NetworkOut</code> performance of an instance is impacted.</p></li>
    /// <li>
    /// <p><b> <code>NetworkPPSOverprovisioned</code> </b> — The instance’s network PPS (packets per second) configuration can be sized down while still meeting the performance requirements of your workload.</p></li>
    /// <li>
    /// <p><b> <code>NetworkPPSUnderprovisioned</code> </b> — The instance’s network PPS (packets per second) configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better network PPS performance.</p></li>
    /// <li>
    /// <p><b> <code>DiskIOPSOverprovisioned</code> </b> — The instance’s disk IOPS configuration can be sized down while still meeting the performance requirements of your workload.</p></li>
    /// <li>
    /// <p><b> <code>DiskIOPSUnderprovisioned</code> </b> — The instance’s disk IOPS configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better disk IOPS performance.</p></li>
    /// <li>
    /// <p><b> <code>DiskThroughputOverprovisioned</code> </b> — The instance’s disk throughput configuration can be sized down while still meeting the performance requirements of your workload.</p></li>
    /// <li>
    /// <p><b> <code>DiskThroughputUnderprovisioned</code> </b> — The instance’s disk throughput configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better disk throughput performance.</p></li>
    /// </ul></li>
    /// </ul>
    pub fn set_values(mut self, input: ::std::option::Option<::std::vec::Vec::<::std::string::String>>) -> Self {
        self.values = input; self
    }
    /// <p>The value of the filter.</p>
    /// <p>The valid values for this parameter are as follows, depending on what you specify for the <code>name</code> parameter and the resource type that you wish to filter results for:</p>
    /// <ul>
    /// <li>
    /// <p>Specify <code>Optimized</code> or <code>NotOptimized</code> if you specify the <code>name</code> parameter as <code>Finding</code> and you want to filter results for Auto Scaling groups.</p></li>
    /// <li>
    /// <p>Specify <code>Underprovisioned</code>, <code>Overprovisioned</code>, or <code>Optimized</code> if you specify the <code>name</code> parameter as <code>Finding</code> and you want to filter results for EC2 instances.</p></li>
    /// <li>
    /// <p>Specify <code>Ec2Instance</code> or <code>AutoScalingGroup</code> if you specify the <code>name</code> parameter as <code>RecommendationSourceType</code>.</p></li>
    /// <li>
    /// <p>Specify one of the following options if you specify the <code>name</code> parameter as <code>FindingReasonCodes</code>:</p>
    /// <ul>
    /// <li>
    /// <p><b> <code>CPUOverprovisioned</code> </b> — The instance’s CPU configuration can be sized down while still meeting the performance requirements of your workload.</p></li>
    /// <li>
    /// <p><b> <code>CPUUnderprovisioned</code> </b> — The instance’s CPU configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better CPU performance.</p></li>
    /// <li>
    /// <p><b> <code>MemoryOverprovisioned</code> </b> — The instance’s memory configuration can be sized down while still meeting the performance requirements of your workload.</p></li>
    /// <li>
    /// <p><b> <code>MemoryUnderprovisioned</code> </b> — The instance’s memory configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better memory performance.</p></li>
    /// <li>
    /// <p><b> <code>EBSThroughputOverprovisioned</code> </b> — The instance’s EBS throughput configuration can be sized down while still meeting the performance requirements of your workload.</p></li>
    /// <li>
    /// <p><b> <code>EBSThroughputUnderprovisioned</code> </b> — The instance’s EBS throughput configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better EBS throughput performance.</p></li>
    /// <li>
    /// <p><b> <code>EBSIOPSOverprovisioned</code> </b> — The instance’s EBS IOPS configuration can be sized down while still meeting the performance requirements of your workload.</p></li>
    /// <li>
    /// <p><b> <code>EBSIOPSUnderprovisioned</code> </b> — The instance’s EBS IOPS configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better EBS IOPS performance.</p></li>
    /// <li>
    /// <p><b> <code>NetworkBandwidthOverprovisioned</code> </b> — The instance’s network bandwidth configuration can be sized down while still meeting the performance requirements of your workload.</p></li>
    /// <li>
    /// <p><b> <code>NetworkBandwidthUnderprovisioned</code> </b> — The instance’s network bandwidth configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better network bandwidth performance. This finding reason happens when the <code>NetworkIn</code> or <code>NetworkOut</code> performance of an instance is impacted.</p></li>
    /// <li>
    /// <p><b> <code>NetworkPPSOverprovisioned</code> </b> — The instance’s network PPS (packets per second) configuration can be sized down while still meeting the performance requirements of your workload.</p></li>
    /// <li>
    /// <p><b> <code>NetworkPPSUnderprovisioned</code> </b> — The instance’s network PPS (packets per second) configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better network PPS performance.</p></li>
    /// <li>
    /// <p><b> <code>DiskIOPSOverprovisioned</code> </b> — The instance’s disk IOPS configuration can be sized down while still meeting the performance requirements of your workload.</p></li>
    /// <li>
    /// <p><b> <code>DiskIOPSUnderprovisioned</code> </b> — The instance’s disk IOPS configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better disk IOPS performance.</p></li>
    /// <li>
    /// <p><b> <code>DiskThroughputOverprovisioned</code> </b> — The instance’s disk throughput configuration can be sized down while still meeting the performance requirements of your workload.</p></li>
    /// <li>
    /// <p><b> <code>DiskThroughputUnderprovisioned</code> </b> — The instance’s disk throughput configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better disk throughput performance.</p></li>
    /// </ul></li>
    /// </ul>
    pub fn get_values(&self) -> &::std::option::Option<::std::vec::Vec::<::std::string::String>> {
        &self.values
    }
    /// Consumes the builder and constructs a [`Filter`](crate::types::Filter).
    pub fn build(self) -> crate::types::Filter {
        crate::types::Filter {
            name: self.name
            ,
            values: self.values
            ,
        }
    }
}