Struct aws_sdk_iotevents::types::builders::AnalysisResultBuilder

#[non_exhaustive]
pub struct AnalysisResultBuilder { /* private fields */ }

A builder for AnalysisResult.

Implementations

impl AnalysisResultBuilder

pub fn type(self, input: impl Into<String>) -> Self

The type of the analysis result. Analyses fall into the following types based on the validators used to generate the analysis result:

• supported-actions - You must specify AWS IoT Events supported actions that work with other AWS services in a supported AWS Region.

• service-limits - Resources or API operations can't exceed service quotas (also known as limits). Update your detector model or request a quota increase.

• structure - The detector model must follow a structure that AWS IoT Events supports.

• expression-syntax - Your expression must follow the required syntax.

• data-type - Data types referenced in the detector model must be compatible.

• referenced-data - You must define the data referenced in your detector model before you can use the data.

• referenced-resource - Resources that the detector model uses must be available.

For more information, see Running detector model analyses in the AWS IoT Events Developer Guide.

pub fn set_type(self, input: Option<String>) -> Self

The type of the analysis result. Analyses fall into the following types based on the validators used to generate the analysis result:

• supported-actions - You must specify AWS IoT Events supported actions that work with other AWS services in a supported AWS Region.

• service-limits - Resources or API operations can't exceed service quotas (also known as limits). Update your detector model or request a quota increase.

• structure - The detector model must follow a structure that AWS IoT Events supports.

• expression-syntax - Your expression must follow the required syntax.

• data-type - Data types referenced in the detector model must be compatible.

• referenced-data - You must define the data referenced in your detector model before you can use the data.

• referenced-resource - Resources that the detector model uses must be available.

For more information, see Running detector model analyses in the AWS IoT Events Developer Guide.

pub fn get_type(&self) -> &Option<String>

The type of the analysis result. Analyses fall into the following types based on the validators used to generate the analysis result:

• supported-actions - You must specify AWS IoT Events supported actions that work with other AWS services in a supported AWS Region.

• service-limits - Resources or API operations can't exceed service quotas (also known as limits). Update your detector model or request a quota increase.

• structure - The detector model must follow a structure that AWS IoT Events supports.

• expression-syntax - Your expression must follow the required syntax.

• data-type - Data types referenced in the detector model must be compatible.

• referenced-data - You must define the data referenced in your detector model before you can use the data.

• referenced-resource - Resources that the detector model uses must be available.

For more information, see Running detector model analyses in the AWS IoT Events Developer Guide.

pub fn level(self, input: AnalysisResultLevel) -> Self

The severity level of the analysis result. Based on the severity level, analysis results fall into three general categories:

• INFO - An information result tells you about a significant field in your detector model. This type of result usually doesn't require immediate action.

• WARNING - A warning result draws special attention to fields that might cause issues for your detector model. We recommend that you review warnings and take necessary actions before you use your detector model in production environments. Otherwise, the detector model might not work as expected.

• ERROR - An error result notifies you about a problem found in your detector model. You must fix all errors before you can publish your detector model.

pub fn set_level(self, input: Option<AnalysisResultLevel>) -> Self

The severity level of the analysis result. Based on the severity level, analysis results fall into three general categories:

• INFO - An information result tells you about a significant field in your detector model. This type of result usually doesn't require immediate action.

• WARNING - A warning result draws special attention to fields that might cause issues for your detector model. We recommend that you review warnings and take necessary actions before you use your detector model in production environments. Otherwise, the detector model might not work as expected.

• ERROR - An error result notifies you about a problem found in your detector model. You must fix all errors before you can publish your detector model.

pub fn get_level(&self) -> &Option<AnalysisResultLevel>

The severity level of the analysis result. Based on the severity level, analysis results fall into three general categories:

• INFO - An information result tells you about a significant field in your detector model. This type of result usually doesn't require immediate action.

• WARNING - A warning result draws special attention to fields that might cause issues for your detector model. We recommend that you review warnings and take necessary actions before you use your detector model in production environments. Otherwise, the detector model might not work as expected.

• ERROR - An error result notifies you about a problem found in your detector model. You must fix all errors before you can publish your detector model.

pub fn message(self, input: impl Into<String>) -> Self

Contains additional information about the analysis result.

pub fn set_message(self, input: Option<String>) -> Self

Contains additional information about the analysis result.

pub fn get_message(&self) -> &Option<String>

Contains additional information about the analysis result.

pub fn locations(self, input: AnalysisResultLocation) -> Self

Appends an item to locations.

To override the contents of this collection use set_locations.

Contains one or more locations that you can use to locate the fields in your detector model that the analysis result references.

pub fn set_locations(self, input: Option<Vec<AnalysisResultLocation>>) -> Self

Contains one or more locations that you can use to locate the fields in your detector model that the analysis result references.

pub fn get_locations(&self) -> &Option<Vec<AnalysisResultLocation>>

Contains one or more locations that you can use to locate the fields in your detector model that the analysis result references.

pub fn build(self) -> AnalysisResult

Consumes the builder and constructs a AnalysisResult.

Trait Implementations

impl Clone for AnalysisResultBuilder

fn clone(&self) -> AnalysisResultBuilder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for AnalysisResultBuilder

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

Formats the value using the given formatter.

impl Default for AnalysisResultBuilder

fn default() -> AnalysisResultBuilder

Returns the “default value” for a type.

impl PartialEq for AnalysisResultBuilder

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

This method tests for self and other values to be equal, and is used by ==.

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

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

impl StructuralPartialEq for AnalysisResultBuilder