aws_sdk_cloudwatchlogs/operation/create_log_anomaly_detector/
builders.rs

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// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
pub use crate::operation::create_log_anomaly_detector::_create_log_anomaly_detector_output::CreateLogAnomalyDetectorOutputBuilder;

pub use crate::operation::create_log_anomaly_detector::_create_log_anomaly_detector_input::CreateLogAnomalyDetectorInputBuilder;

impl crate::operation::create_log_anomaly_detector::builders::CreateLogAnomalyDetectorInputBuilder {
    /// 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_log_anomaly_detector::CreateLogAnomalyDetectorOutput,
        ::aws_smithy_runtime_api::client::result::SdkError<
            crate::operation::create_log_anomaly_detector::CreateLogAnomalyDetectorError,
            ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
        >,
    > {
        let mut fluent_builder = client.create_log_anomaly_detector();
        fluent_builder.inner = self;
        fluent_builder.send().await
    }
}
/// Fluent builder constructing a request to `CreateLogAnomalyDetector`.
///
/// <p>Creates an <i>anomaly detector</i> that regularly scans one or more log groups and look for patterns and anomalies in the logs.</p>
/// <p>An anomaly detector can help surface issues by automatically discovering anomalies in your log event traffic. An anomaly detector uses machine learning algorithms to scan log events and find <i>patterns</i>. A pattern is a shared text structure that recurs among your log fields. Patterns provide a useful tool for analyzing large sets of logs because a large number of log events can often be compressed into a few patterns.</p>
/// <p>The anomaly detector uses pattern recognition to find <code>anomalies</code>, which are unusual log events. It uses the <code>evaluationFrequency</code> to compare current log events and patterns with trained baselines.</p>
/// <p>Fields within a pattern are called <i>tokens</i>. Fields that vary within a pattern, such as a request ID or timestamp, are referred to as <i>dynamic tokens</i> and represented by <code>&lt;*&gt;</code>.</p>
/// <p>The following is an example of a pattern:</p>
/// <p><code>\[INFO\] Request time: &lt;*&gt; ms</code></p>
/// <p>This pattern represents log events like <code>\[INFO\] Request time: 327 ms</code> and other similar log events that differ only by the number, in this csse 327. When the pattern is displayed, the different numbers are replaced by <code>&lt;*&gt;</code></p><note>
/// <p>Any parts of log events that are masked as sensitive data are not scanned for anomalies. For more information about masking sensitive data, see <a href="https://docs.aws.amazon.com/AmazonCloudWatch/latest/logs/mask-sensitive-log-data.html">Help protect sensitive log data with masking</a>.</p>
/// </note>
#[derive(::std::clone::Clone, ::std::fmt::Debug)]
pub struct CreateLogAnomalyDetectorFluentBuilder {
    handle: ::std::sync::Arc<crate::client::Handle>,
    inner: crate::operation::create_log_anomaly_detector::builders::CreateLogAnomalyDetectorInputBuilder,
    config_override: ::std::option::Option<crate::config::Builder>,
}
impl
    crate::client::customize::internal::CustomizableSend<
        crate::operation::create_log_anomaly_detector::CreateLogAnomalyDetectorOutput,
        crate::operation::create_log_anomaly_detector::CreateLogAnomalyDetectorError,
    > for CreateLogAnomalyDetectorFluentBuilder
{
    fn send(
        self,
        config_override: crate::config::Builder,
    ) -> crate::client::customize::internal::BoxFuture<
        crate::client::customize::internal::SendResult<
            crate::operation::create_log_anomaly_detector::CreateLogAnomalyDetectorOutput,
            crate::operation::create_log_anomaly_detector::CreateLogAnomalyDetectorError,
        >,
    > {
        ::std::boxed::Box::pin(async move { self.config_override(config_override).send().await })
    }
}
impl CreateLogAnomalyDetectorFluentBuilder {
    /// Creates a new `CreateLogAnomalyDetectorFluentBuilder`.
    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 CreateLogAnomalyDetector as a reference.
    pub fn as_input(&self) -> &crate::operation::create_log_anomaly_detector::builders::CreateLogAnomalyDetectorInputBuilder {
        &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_log_anomaly_detector::CreateLogAnomalyDetectorOutput,
        ::aws_smithy_runtime_api::client::result::SdkError<
            crate::operation::create_log_anomaly_detector::CreateLogAnomalyDetectorError,
            ::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_log_anomaly_detector::CreateLogAnomalyDetector::operation_runtime_plugins(
            self.handle.runtime_plugins.clone(),
            &self.handle.conf,
            self.config_override,
        );
        crate::operation::create_log_anomaly_detector::CreateLogAnomalyDetector::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_log_anomaly_detector::CreateLogAnomalyDetectorOutput,
        crate::operation::create_log_anomaly_detector::CreateLogAnomalyDetectorError,
        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
    }
    ///
    /// Appends an item to `logGroupArnList`.
    ///
    /// To override the contents of this collection use [`set_log_group_arn_list`](Self::set_log_group_arn_list).
    ///
    /// <p>An array containing the ARN of the log group that this anomaly detector will watch. You can specify only one log group ARN.</p>
    pub fn log_group_arn_list(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.log_group_arn_list(input.into());
        self
    }
    /// <p>An array containing the ARN of the log group that this anomaly detector will watch. You can specify only one log group ARN.</p>
    pub fn set_log_group_arn_list(mut self, input: ::std::option::Option<::std::vec::Vec<::std::string::String>>) -> Self {
        self.inner = self.inner.set_log_group_arn_list(input);
        self
    }
    /// <p>An array containing the ARN of the log group that this anomaly detector will watch. You can specify only one log group ARN.</p>
    pub fn get_log_group_arn_list(&self) -> &::std::option::Option<::std::vec::Vec<::std::string::String>> {
        self.inner.get_log_group_arn_list()
    }
    /// <p>A name for this anomaly detector.</p>
    pub fn detector_name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.detector_name(input.into());
        self
    }
    /// <p>A name for this anomaly detector.</p>
    pub fn set_detector_name(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_detector_name(input);
        self
    }
    /// <p>A name for this anomaly detector.</p>
    pub fn get_detector_name(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_detector_name()
    }
    /// <p>Specifies how often the anomaly detector is to run and look for anomalies. Set this value according to the frequency that the log group receives new logs. For example, if the log group receives new log events every 10 minutes, then 15 minutes might be a good setting for <code>evaluationFrequency</code> .</p>
    pub fn evaluation_frequency(mut self, input: crate::types::EvaluationFrequency) -> Self {
        self.inner = self.inner.evaluation_frequency(input);
        self
    }
    /// <p>Specifies how often the anomaly detector is to run and look for anomalies. Set this value according to the frequency that the log group receives new logs. For example, if the log group receives new log events every 10 minutes, then 15 minutes might be a good setting for <code>evaluationFrequency</code> .</p>
    pub fn set_evaluation_frequency(mut self, input: ::std::option::Option<crate::types::EvaluationFrequency>) -> Self {
        self.inner = self.inner.set_evaluation_frequency(input);
        self
    }
    /// <p>Specifies how often the anomaly detector is to run and look for anomalies. Set this value according to the frequency that the log group receives new logs. For example, if the log group receives new log events every 10 minutes, then 15 minutes might be a good setting for <code>evaluationFrequency</code> .</p>
    pub fn get_evaluation_frequency(&self) -> &::std::option::Option<crate::types::EvaluationFrequency> {
        self.inner.get_evaluation_frequency()
    }
    /// <p>You can use this parameter to limit the anomaly detection model to examine only log events that match the pattern you specify here. For more information, see <a href="https://docs.aws.amazon.com/AmazonCloudWatch/latest/logs/FilterAndPatternSyntax.html">Filter and Pattern Syntax</a>.</p>
    pub fn filter_pattern(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.filter_pattern(input.into());
        self
    }
    /// <p>You can use this parameter to limit the anomaly detection model to examine only log events that match the pattern you specify here. For more information, see <a href="https://docs.aws.amazon.com/AmazonCloudWatch/latest/logs/FilterAndPatternSyntax.html">Filter and Pattern Syntax</a>.</p>
    pub fn set_filter_pattern(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_filter_pattern(input);
        self
    }
    /// <p>You can use this parameter to limit the anomaly detection model to examine only log events that match the pattern you specify here. For more information, see <a href="https://docs.aws.amazon.com/AmazonCloudWatch/latest/logs/FilterAndPatternSyntax.html">Filter and Pattern Syntax</a>.</p>
    pub fn get_filter_pattern(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_filter_pattern()
    }
    /// <p>Optionally assigns a KMS key to secure this anomaly detector and its findings. If a key is assigned, the anomalies found and the model used by this detector are encrypted at rest with the key. If a key is assigned to an anomaly detector, a user must have permissions for both this key and for the anomaly detector to retrieve information about the anomalies that it finds.</p>
    /// <p>For more information about using a KMS key and to see the required IAM policy, see <a href="https://docs.aws.amazon.com/AmazonCloudWatch/latest/logs/LogsAnomalyDetection-KMS.html">Use a KMS key with an anomaly detector</a>.</p>
    pub fn kms_key_id(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.kms_key_id(input.into());
        self
    }
    /// <p>Optionally assigns a KMS key to secure this anomaly detector and its findings. If a key is assigned, the anomalies found and the model used by this detector are encrypted at rest with the key. If a key is assigned to an anomaly detector, a user must have permissions for both this key and for the anomaly detector to retrieve information about the anomalies that it finds.</p>
    /// <p>For more information about using a KMS key and to see the required IAM policy, see <a href="https://docs.aws.amazon.com/AmazonCloudWatch/latest/logs/LogsAnomalyDetection-KMS.html">Use a KMS key with an anomaly detector</a>.</p>
    pub fn set_kms_key_id(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_kms_key_id(input);
        self
    }
    /// <p>Optionally assigns a KMS key to secure this anomaly detector and its findings. If a key is assigned, the anomalies found and the model used by this detector are encrypted at rest with the key. If a key is assigned to an anomaly detector, a user must have permissions for both this key and for the anomaly detector to retrieve information about the anomalies that it finds.</p>
    /// <p>For more information about using a KMS key and to see the required IAM policy, see <a href="https://docs.aws.amazon.com/AmazonCloudWatch/latest/logs/LogsAnomalyDetection-KMS.html">Use a KMS key with an anomaly detector</a>.</p>
    pub fn get_kms_key_id(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_kms_key_id()
    }
    /// <p>The number of days to have visibility on an anomaly. After this time period has elapsed for an anomaly, it will be automatically baselined and the anomaly detector will treat new occurrences of a similar anomaly as normal. Therefore, if you do not correct the cause of an anomaly during the time period specified in <code>anomalyVisibilityTime</code>, it will be considered normal going forward and will not be detected as an anomaly.</p>
    pub fn anomaly_visibility_time(mut self, input: i64) -> Self {
        self.inner = self.inner.anomaly_visibility_time(input);
        self
    }
    /// <p>The number of days to have visibility on an anomaly. After this time period has elapsed for an anomaly, it will be automatically baselined and the anomaly detector will treat new occurrences of a similar anomaly as normal. Therefore, if you do not correct the cause of an anomaly during the time period specified in <code>anomalyVisibilityTime</code>, it will be considered normal going forward and will not be detected as an anomaly.</p>
    pub fn set_anomaly_visibility_time(mut self, input: ::std::option::Option<i64>) -> Self {
        self.inner = self.inner.set_anomaly_visibility_time(input);
        self
    }
    /// <p>The number of days to have visibility on an anomaly. After this time period has elapsed for an anomaly, it will be automatically baselined and the anomaly detector will treat new occurrences of a similar anomaly as normal. Therefore, if you do not correct the cause of an anomaly during the time period specified in <code>anomalyVisibilityTime</code>, it will be considered normal going forward and will not be detected as an anomaly.</p>
    pub fn get_anomaly_visibility_time(&self) -> &::std::option::Option<i64> {
        self.inner.get_anomaly_visibility_time()
    }
    ///
    /// Adds a key-value pair to `tags`.
    ///
    /// To override the contents of this collection use [`set_tags`](Self::set_tags).
    ///
    /// <p>An optional list of key-value pairs to associate with the resource.</p>
    /// <p>For more information about tagging, see <a href="https://docs.aws.amazon.com/general/latest/gr/aws_tagging.html">Tagging Amazon Web Services resources</a></p>
    pub fn tags(mut self, k: impl ::std::convert::Into<::std::string::String>, v: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.tags(k.into(), v.into());
        self
    }
    /// <p>An optional list of key-value pairs to associate with the resource.</p>
    /// <p>For more information about tagging, see <a href="https://docs.aws.amazon.com/general/latest/gr/aws_tagging.html">Tagging Amazon Web Services resources</a></p>
    pub fn set_tags(mut self, input: ::std::option::Option<::std::collections::HashMap<::std::string::String, ::std::string::String>>) -> Self {
        self.inner = self.inner.set_tags(input);
        self
    }
    /// <p>An optional list of key-value pairs to associate with the resource.</p>
    /// <p>For more information about tagging, see <a href="https://docs.aws.amazon.com/general/latest/gr/aws_tagging.html">Tagging Amazon Web Services resources</a></p>
    pub fn get_tags(&self) -> &::std::option::Option<::std::collections::HashMap<::std::string::String, ::std::string::String>> {
        self.inner.get_tags()
    }
}