Struct DescribeExecutionOutput 

#[non_exhaustive]
pub struct DescribeExecutionOutput {
    pub execution_id: String,
    pub action_type: Option<String>,
    pub target_resource: Option<TargetResource>,
    pub target_resource_version: String,
    pub resolve_to: Option<ResolveTo>,
    pub execution_start_time: DateTime,
    pub execution_end_time: Option<DateTime>,
    pub execution_status: Option<ExecutionStatus>,
    pub execution_result: Option<HashMap<String, String>>,
    pub execution_details: Option<HashMap<String, String>>,
    pub execution_entity_version: Option<String>,
    /* private fields */
}

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

execution_id: String

The ID of the execution.

action_type: Option<String>

The type of action exectued.

target_resource: Option<TargetResource>

The resource the action will be taken on. This can include asset-based resources and computation model resources.

target_resource_version: String

The version of the target resource.

resolve_to: Option<ResolveTo>

The detailed resource this execution resolves to.

execution_start_time: DateTime

The time the process started.

execution_end_time: Option<DateTime>

The time the process ended.

execution_status: Option<ExecutionStatus>

The status of the execution process.

execution_result: Option<HashMap<String, String>>

The result of the execution.

execution_details: Option<HashMap<String, String>>

Provides detailed information about the execution of your anomaly detection models. This includes model metrics and training timestamps for both training and inference actions.

• The training action (Amazon Web Services/ANOMALY_DETECTION_TRAINING), includes performance metrics that help you compare different versions of your anomaly detection models. These metrics provide insights into the model's performance during the training process.

• The inference action (Amazon Web Services/ANOMALY_DETECTION_INFERENCE), includes information about the results of executing your anomaly detection models. This helps you understand the output of your models and assess their performance.

execution_entity_version: Option<String>

Entity version used for the execution.

Implementations

impl DescribeExecutionOutput

pub fn execution_id(&self) -> &str

The ID of the execution.

pub fn action_type(&self) -> Option<&str>

The type of action exectued.

pub fn target_resource(&self) -> Option<&TargetResource>

The resource the action will be taken on. This can include asset-based resources and computation model resources.

pub fn target_resource_version(&self) -> &str

The version of the target resource.

pub fn resolve_to(&self) -> Option<&ResolveTo>

The detailed resource this execution resolves to.

pub fn execution_start_time(&self) -> &DateTime

The time the process started.

pub fn execution_end_time(&self) -> Option<&DateTime>

The time the process ended.

pub fn execution_status(&self) -> Option<&ExecutionStatus>

The status of the execution process.

pub fn execution_result(&self) -> Option<&HashMap<String, String>>

The result of the execution.

pub fn execution_details(&self) -> Option<&HashMap<String, String>>

Provides detailed information about the execution of your anomaly detection models. This includes model metrics and training timestamps for both training and inference actions.

• The training action (Amazon Web Services/ANOMALY_DETECTION_TRAINING), includes performance metrics that help you compare different versions of your anomaly detection models. These metrics provide insights into the model's performance during the training process.

• The inference action (Amazon Web Services/ANOMALY_DETECTION_INFERENCE), includes information about the results of executing your anomaly detection models. This helps you understand the output of your models and assess their performance.

pub fn execution_entity_version(&self) -> Option<&str>

Entity version used for the execution.

impl DescribeExecutionOutput

pub fn builder() -> DescribeExecutionOutputBuilder

Creates a new builder-style object to manufacture DescribeExecutionOutput.

Trait Implementations

impl Clone for DescribeExecutionOutput

fn clone(&self) -> DescribeExecutionOutput

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for DescribeExecutionOutput

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq for DescribeExecutionOutput

fn eq(&self, other: &DescribeExecutionOutput) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl RequestId for DescribeExecutionOutput

fn request_id(&self) -> Option<&str>

Returns the request ID, or None if the service could not be reached.

impl StructuralPartialEq for DescribeExecutionOutput