awslookoutequipment

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 Go to latest Published: Sep 8, 2022 License: Apache-2.0 Imports: 7 Imported by: 0

README

AWS::LookoutEquipment Construct Library

This module is part of the AWS Cloud Development Kit project.

import lookoutequipment "github.com/aws/aws-cdk-go/awscdk"

There are no official hand-written (L2) constructs for this service yet. Here are some suggestions on how to proceed:

There are no hand-written (L2) constructs for this service yet. However, you can still use the automatically generated L1 constructs, and use this service exactly as you would using CloudFormation directly.

For more information on the resources and properties available for this service, see the CloudFormation documentation for AWS::LookoutEquipment.

(Read the CDK Contributing Guide and submit an RFC if you are interested in contributing to this construct library.)

Documentation

Index

Constants

This section is empty.

Variables

This section is empty.

Functions

func CfnInferenceScheduler_CFN_RESOURCE_TYPE_NAME 

func CfnInferenceScheduler_CFN_RESOURCE_TYPE_NAME() *string

func CfnInferenceScheduler_IsCfnElement 

func CfnInferenceScheduler_IsCfnElement(x interface{}) *bool

Returns `true` if a construct is a stack element (i.e. part of the synthesized cloudformation template).

Uses duck-typing instead of `instanceof` to allow stack elements from different versions of this library to be included in the same stack.

Returns: The construct as a stack element or undefined if it is not a stack element.

func CfnInferenceScheduler_IsCfnResource 

func CfnInferenceScheduler_IsCfnResource(construct constructs.IConstruct) *bool

Check whether the given construct is a CfnResource.

func CfnInferenceScheduler_IsConstruct 

func CfnInferenceScheduler_IsConstruct(x interface{}) *bool

Checks if `x` is a construct.

Use this method instead of `instanceof` to properly detect `Construct` instances, even when the construct library is symlinked.

Explanation: in JavaScript, multiple copies of the `constructs` library on disk are seen as independent, completely different libraries. As a consequence, the class `Construct` in each copy of the `constructs` library is seen as a different class, and an instance of one class will not test as `instanceof` the other class. `npm install` will not create installations like this, but users may manually symlink construct libraries together or use a monorepo tool: in those cases, multiple copies of the `constructs` library can be accidentally installed, and `instanceof` will behave unpredictably. It is safest to avoid using `instanceof`, and using this type-testing method instead.

Returns: true if `x` is an object created from a class which extends `Construct`.

func NewCfnInferenceScheduler_Override 

func NewCfnInferenceScheduler_Override(c CfnInferenceScheduler, scope constructs.Construct, id *string, props *CfnInferenceSchedulerProps)

Create a new `AWS::LookoutEquipment::InferenceScheduler`.

Types

type CfnInferenceScheduler 

type CfnInferenceScheduler interface {
	awscdk.CfnResource
	awscdk.IInspectable
	// The Amazon Resource Name (ARN) of the inference scheduler being created.
	AttrInferenceSchedulerArn() *string
	// Options for this resource, such as condition, update policy etc.
	CfnOptions() awscdk.ICfnResourceOptions
	CfnProperties() *map[string]interface{}
	// AWS resource type.
	CfnResourceType() *string
	// Returns: the stack trace of the point where this Resource was created from, sourced
	// from the +metadata+ entry typed +aws:cdk:logicalId+, and with the bottom-most
	// node +internal+ entries filtered.
	CreationStack() *[]*string
	// A period of time (in minutes) by which inference on the data is delayed after the data starts.
	//
	// For instance, if an offset delay time of five minutes was selected, inference will not begin on the data until the first data measurement after the five minute mark. For example, if five minutes is selected, the inference scheduler will wake up at the configured frequency with the additional five minute delay time to check the customer S3 bucket. The customer can upload data at the same frequency and they don't need to stop and restart the scheduler when uploading new data.
	DataDelayOffsetInMinutes() *float64
	SetDataDelayOffsetInMinutes(val *float64)
	// Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location.
	DataInputConfiguration() interface{}
	SetDataInputConfiguration(val interface{})
	// Specifies configuration information for the output results for the inference scheduler, including the Amazon S3 location for the output.
	DataOutputConfiguration() interface{}
	SetDataOutputConfiguration(val interface{})
	// How often data is uploaded to the source S3 bucket for the input data.
	//
	// This value is the length of time between data uploads. For instance, if you select 5 minutes, Amazon Lookout for Equipment will upload the real-time data to the source bucket once every 5 minutes. This frequency also determines how often Amazon Lookout for Equipment starts a scheduled inference on your data. In this example, it starts once every 5 minutes.
	DataUploadFrequency() *string
	SetDataUploadFrequency(val *string)
	// The name of the inference scheduler.
	InferenceSchedulerName() *string
	SetInferenceSchedulerName(val *string)
	// The logical ID for this CloudFormation stack element.
	//
	// The logical ID of the element
	// is calculated from the path of the resource node in the construct tree.
	//
	// To override this value, use `overrideLogicalId(newLogicalId)`.
	//
	// Returns: the logical ID as a stringified token. This value will only get
	// resolved during synthesis.
	LogicalId() *string
	// The name of the ML model used for the inference scheduler.
	ModelName() *string
	SetModelName(val *string)
	// The tree node.
	Node() constructs.Node
	// Return a string that will be resolved to a CloudFormation `{ Ref }` for this element.
	//
	// If, by any chance, the intrinsic reference of a resource is not a string, you could
	// coerce it to an IResolvable through `Lazy.any({ produce: resource.ref })`.
	Ref() *string
	// The Amazon Resource Name (ARN) of a role with permission to access the data source being used for the inference.
	RoleArn() *string
	SetRoleArn(val *string)
	// Provides the identifier of the AWS KMS key used to encrypt inference scheduler data by Amazon Lookout for Equipment .
	ServerSideKmsKeyId() *string
	SetServerSideKmsKeyId(val *string)
	// The stack in which this element is defined.
	//
	// CfnElements must be defined within a stack scope (directly or indirectly).
	Stack() awscdk.Stack
	// Any tags associated with the inference scheduler.
	//
	// For more information, see [Tag](https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-resource-tags.html) .
	Tags() awscdk.TagManager
	// Deprecated.
	// Deprecated: use `updatedProperties`
	//
	// Return properties modified after initiation
	//
	// Resources that expose mutable properties should override this function to
	// collect and return the properties object for this resource.
	UpdatedProperites() *map[string]interface{}
	// Return properties modified after initiation.
	//
	// Resources that expose mutable properties should override this function to
	// collect and return the properties object for this resource.
	UpdatedProperties() *map[string]interface{}
	// Syntactic sugar for `addOverride(path, undefined)`.
	AddDeletionOverride(path *string)
	// Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.
	//
	// This can be used for resources across stacks (or nested stack) boundaries
	// and the dependency will automatically be transferred to the relevant scope.
	AddDependsOn(target awscdk.CfnResource)
	// Add a value to the CloudFormation Resource Metadata.
	// See: https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html
	//
	// Note that this is a different set of metadata from CDK node metadata; this
	// metadata ends up in the stack template under the resource, whereas CDK
	// node metadata ends up in the Cloud Assembly.
	//
	AddMetadata(key *string, value interface{})
	// Adds an override to the synthesized CloudFormation resource.
	//
	// To add a
	// property override, either use `addPropertyOverride` or prefix `path` with
	// "Properties." (i.e. `Properties.TopicName`).
	//
	// If the override is nested, separate each nested level using a dot (.) in the path parameter.
	// If there is an array as part of the nesting, specify the index in the path.
	//
	// To include a literal `.` in the property name, prefix with a `\`. In most
	// programming languages you will need to write this as `"\\."` because the
	// `\` itself will need to be escaped.
	//
	// For example,
	// “`typescript
	// cfnResource.addOverride('Properties.GlobalSecondaryIndexes.0.Projection.NonKeyAttributes', ['myattribute']);
	// cfnResource.addOverride('Properties.GlobalSecondaryIndexes.1.ProjectionType', 'INCLUDE');
	// “`
	// would add the overrides
	// “`json
	// "Properties": {
	//    "GlobalSecondaryIndexes": [
	//      {
	//        "Projection": {
	//          "NonKeyAttributes": [ "myattribute" ]
	//          ...
	//        }
	//        ...
	//      },
	//      {
	//        "ProjectionType": "INCLUDE"
	//        ...
	//      },
	//    ]
	//    ...
	// }
	// “`
	//
	// The `value` argument to `addOverride` will not be processed or translated
	// in any way. Pass raw JSON values in here with the correct capitalization
	// for CloudFormation. If you pass CDK classes or structs, they will be
	// rendered with lowercased key names, and CloudFormation will reject the
	// template.
	AddOverride(path *string, value interface{})
	// Adds an override that deletes the value of a property from the resource definition.
	AddPropertyDeletionOverride(propertyPath *string)
	// Adds an override to a resource property.
	//
	// Syntactic sugar for `addOverride("Properties.<...>", value)`.
	AddPropertyOverride(propertyPath *string, value interface{})
	// Sets the deletion policy of the resource based on the removal policy specified.
	//
	// The Removal Policy controls what happens to this resource when it stops
	// being managed by CloudFormation, either because you've removed it from the
	// CDK application or because you've made a change that requires the resource
	// to be replaced.
	//
	// The resource can be deleted (`RemovalPolicy.DESTROY`), or left in your AWS
	// account for data recovery and cleanup later (`RemovalPolicy.RETAIN`). In some
	// cases, a snapshot can be taken of the resource prior to deletion
	// (`RemovalPolicy.SNAPSHOT`). A list of resources that support this policy
	// can be found in the following link:.
	// See: https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-attribute-deletionpolicy.html#aws-attribute-deletionpolicy-options
	//
	ApplyRemovalPolicy(policy awscdk.RemovalPolicy, options *awscdk.RemovalPolicyOptions)
	// Returns a token for an runtime attribute of this resource.
	//
	// Ideally, use generated attribute accessors (e.g. `resource.arn`), but this can be used for future compatibility
	// in case there is no generated attribute.
	GetAtt(attributeName *string) awscdk.Reference
	// Retrieve a value value from the CloudFormation Resource Metadata.
	// See: https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html
	//
	// Note that this is a different set of metadata from CDK node metadata; this
	// metadata ends up in the stack template under the resource, whereas CDK
	// node metadata ends up in the Cloud Assembly.
	//
	GetMetadata(key *string) interface{}
	// Examines the CloudFormation resource and discloses attributes.
	Inspect(inspector awscdk.TreeInspector)
	// Overrides the auto-generated logical ID with a specific ID.
	OverrideLogicalId(newLogicalId *string)
	RenderProperties(props *map[string]interface{}) *map[string]interface{}
	// Can be overridden by subclasses to determine if this resource will be rendered into the cloudformation template.
	//
	// Returns: `true` if the resource should be included or `false` is the resource
	// should be omitted.
	ShouldSynthesize() *bool
	// Returns a string representation of this construct.
	//
	// Returns: a string representation of this resource.
	ToString() *string
	ValidateProperties(_properties interface{})
}

A CloudFormation `AWS::LookoutEquipment::InferenceScheduler`.

Creates a scheduled inference. Scheduling an inference is setting up a continuous real-time inference plan to analyze new measurement data. When setting up the schedule, you provide an Amazon S3 bucket location for the input data, assign it a delimiter between separate entries in the data, set an offset delay if desired, and set the frequency of inferencing. You must also provide an Amazon S3 bucket location for the output data.

> Updating some properties below (for example, InferenceSchedulerName and ServerSideKmsKeyId) triggers a resource replacement, which requires a new model. To replace such a property using AWS CloudFormation , but without creating a completely new stack, you must replace ModelName. If you need to replace the property, but want to use the same model, delete the current stack and create a new one with the updated properties.

Example: 

// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
import "github.com/aws/aws-cdk-go/awscdk"

var dataInputConfiguration interface{}
var dataOutputConfiguration interface{}

cfnInferenceScheduler := awscdk.Aws_lookoutequipment.NewCfnInferenceScheduler(this, jsii.String("MyCfnInferenceScheduler"), &cfnInferenceSchedulerProps{
	dataInputConfiguration: dataInputConfiguration,
	dataOutputConfiguration: dataOutputConfiguration,
	dataUploadFrequency: jsii.String("dataUploadFrequency"),
	modelName: jsii.String("modelName"),
	roleArn: jsii.String("roleArn"),

	// the properties below are optional
	dataDelayOffsetInMinutes: jsii.Number(123),
	inferenceSchedulerName: jsii.String("inferenceSchedulerName"),
	serverSideKmsKeyId: jsii.String("serverSideKmsKeyId"),
	tags: []cfnTag{
		&cfnTag{
			key: jsii.String("key"),
			value: jsii.String("value"),
		},
	},
})

func NewCfnInferenceScheduler 

func NewCfnInferenceScheduler(scope constructs.Construct, id *string, props *CfnInferenceSchedulerProps) CfnInferenceScheduler

Create a new `AWS::LookoutEquipment::InferenceScheduler`.

type CfnInferenceSchedulerProps 

type CfnInferenceSchedulerProps struct {
	// Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location.
	DataInputConfiguration interface{} `field:"required" json:"dataInputConfiguration" yaml:"dataInputConfiguration"`
	// Specifies configuration information for the output results for the inference scheduler, including the Amazon S3 location for the output.
	DataOutputConfiguration interface{} `field:"required" json:"dataOutputConfiguration" yaml:"dataOutputConfiguration"`
	// How often data is uploaded to the source S3 bucket for the input data.
	//
	// This value is the length of time between data uploads. For instance, if you select 5 minutes, Amazon Lookout for Equipment will upload the real-time data to the source bucket once every 5 minutes. This frequency also determines how often Amazon Lookout for Equipment starts a scheduled inference on your data. In this example, it starts once every 5 minutes.
	DataUploadFrequency *string `field:"required" json:"dataUploadFrequency" yaml:"dataUploadFrequency"`
	// The name of the ML model used for the inference scheduler.
	ModelName *string `field:"required" json:"modelName" yaml:"modelName"`
	// The Amazon Resource Name (ARN) of a role with permission to access the data source being used for the inference.
	RoleArn *string `field:"required" json:"roleArn" yaml:"roleArn"`
	// A period of time (in minutes) by which inference on the data is delayed after the data starts.
	//
	// For instance, if an offset delay time of five minutes was selected, inference will not begin on the data until the first data measurement after the five minute mark. For example, if five minutes is selected, the inference scheduler will wake up at the configured frequency with the additional five minute delay time to check the customer S3 bucket. The customer can upload data at the same frequency and they don't need to stop and restart the scheduler when uploading new data.
	DataDelayOffsetInMinutes *float64 `field:"optional" json:"dataDelayOffsetInMinutes" yaml:"dataDelayOffsetInMinutes"`
	// The name of the inference scheduler.
	InferenceSchedulerName *string `field:"optional" json:"inferenceSchedulerName" yaml:"inferenceSchedulerName"`
	// Provides the identifier of the AWS KMS key used to encrypt inference scheduler data by Amazon Lookout for Equipment .
	ServerSideKmsKeyId *string `field:"optional" json:"serverSideKmsKeyId" yaml:"serverSideKmsKeyId"`
	// Any tags associated with the inference scheduler.
	//
	// For more information, see [Tag](https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-resource-tags.html) .
	Tags *[]*awscdk.CfnTag `field:"optional" json:"tags" yaml:"tags"`
}

Properties for defining a `CfnInferenceScheduler`.

Example: 

// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
import "github.com/aws/aws-cdk-go/awscdk"

var dataInputConfiguration interface{}
var dataOutputConfiguration interface{}

cfnInferenceSchedulerProps := &cfnInferenceSchedulerProps{
	dataInputConfiguration: dataInputConfiguration,
	dataOutputConfiguration: dataOutputConfiguration,
	dataUploadFrequency: jsii.String("dataUploadFrequency"),
	modelName: jsii.String("modelName"),
	roleArn: jsii.String("roleArn"),

	// the properties below are optional
	dataDelayOffsetInMinutes: jsii.Number(123),
	inferenceSchedulerName: jsii.String("inferenceSchedulerName"),
	serverSideKmsKeyId: jsii.String("serverSideKmsKeyId"),
	tags: []cfnTag{
		&cfnTag{
			key: jsii.String("key"),
			value: jsii.String("value"),
		},
	},
}

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