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@file:Suppress("RedundantVisibilityModifier","RedundantUnitReturnType","RemoveRedundantQualifierName","unused","UnusedImport","ClassName","REDUNDANT_PROJECTION","DEPRECATION")
package cloudshift.awscdk.dsl.services.lookoutequipment
import kotlin.String
import kotlin.Unit
import software.amazon.awscdk.services.lookoutequipment.CfnInferenceScheduler
import software.amazon.awscdk.services.lookoutequipment.CfnInferenceSchedulerProps
import software.constructs.Construct
public object lookoutequipment {
/**
* 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 software.amazon.awscdk.services.lookoutequipment.*;
* Object dataInputConfiguration;
* Object dataOutputConfiguration;
* CfnInferenceScheduler cfnInferenceScheduler = CfnInferenceScheduler.Builder.create(this,
* "MyCfnInferenceScheduler")
* .dataInputConfiguration(dataInputConfiguration)
* .dataOutputConfiguration(dataOutputConfiguration)
* .dataUploadFrequency("dataUploadFrequency")
* .modelName("modelName")
* .roleArn("roleArn")
* // the properties below are optional
* .dataDelayOffsetInMinutes(123)
* .inferenceSchedulerName("inferenceSchedulerName")
* .serverSideKmsKeyId("serverSideKmsKeyId")
* .tags(List.of(CfnTag.builder()
* .key("key")
* .value("value")
* .build()))
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-lookoutequipment-inferencescheduler.html)
*/
public inline fun cfnInferenceScheduler(
scope: Construct,
id: String,
block: CfnInferenceSchedulerDsl.() -> Unit = {},
): CfnInferenceScheduler {
val builder = CfnInferenceSchedulerDsl(scope, id)
builder.apply(block)
return builder.build()
}
/**
* Specifies configuration information for the input data for the inference scheduler, including
* delimiter, format, and dataset location.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.lookoutequipment.*;
* DataInputConfigurationProperty dataInputConfigurationProperty =
* DataInputConfigurationProperty.builder()
* .s3InputConfiguration(S3InputConfigurationProperty.builder()
* .bucket("bucket")
* // the properties below are optional
* .prefix("prefix")
* .build())
* // the properties below are optional
* .inferenceInputNameConfiguration(InputNameConfigurationProperty.builder()
* .componentTimestampDelimiter("componentTimestampDelimiter")
* .timestampFormat("timestampFormat")
* .build())
* .inputTimeZoneOffset("inputTimeZoneOffset")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-lookoutequipment-inferencescheduler-datainputconfiguration.html)
*/
public inline
fun cfnInferenceSchedulerDataInputConfigurationProperty(block: CfnInferenceSchedulerDataInputConfigurationPropertyDsl.() -> Unit
= {}): CfnInferenceScheduler.DataInputConfigurationProperty {
val builder = CfnInferenceSchedulerDataInputConfigurationPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* Specifies configuration information for the output results for the inference scheduler,
* including the S3 location for the output.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.lookoutequipment.*;
* DataOutputConfigurationProperty dataOutputConfigurationProperty =
* DataOutputConfigurationProperty.builder()
* .s3OutputConfiguration(S3OutputConfigurationProperty.builder()
* .bucket("bucket")
* // the properties below are optional
* .prefix("prefix")
* .build())
* // the properties below are optional
* .kmsKeyId("kmsKeyId")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-lookoutequipment-inferencescheduler-dataoutputconfiguration.html)
*/
public inline
fun cfnInferenceSchedulerDataOutputConfigurationProperty(block: CfnInferenceSchedulerDataOutputConfigurationPropertyDsl.() -> Unit
= {}): CfnInferenceScheduler.DataOutputConfigurationProperty {
val builder = CfnInferenceSchedulerDataOutputConfigurationPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* Specifies configuration information for the input data for the inference, including timestamp
* format and delimiter.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.lookoutequipment.*;
* InputNameConfigurationProperty inputNameConfigurationProperty =
* InputNameConfigurationProperty.builder()
* .componentTimestampDelimiter("componentTimestampDelimiter")
* .timestampFormat("timestampFormat")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-lookoutequipment-inferencescheduler-inputnameconfiguration.html)
*/
public inline
fun cfnInferenceSchedulerInputNameConfigurationProperty(block: CfnInferenceSchedulerInputNameConfigurationPropertyDsl.() -> Unit
= {}): CfnInferenceScheduler.InputNameConfigurationProperty {
val builder = CfnInferenceSchedulerInputNameConfigurationPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* 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 software.amazon.awscdk.services.lookoutequipment.*;
* Object dataInputConfiguration;
* Object dataOutputConfiguration;
* CfnInferenceSchedulerProps cfnInferenceSchedulerProps = CfnInferenceSchedulerProps.builder()
* .dataInputConfiguration(dataInputConfiguration)
* .dataOutputConfiguration(dataOutputConfiguration)
* .dataUploadFrequency("dataUploadFrequency")
* .modelName("modelName")
* .roleArn("roleArn")
* // the properties below are optional
* .dataDelayOffsetInMinutes(123)
* .inferenceSchedulerName("inferenceSchedulerName")
* .serverSideKmsKeyId("serverSideKmsKeyId")
* .tags(List.of(CfnTag.builder()
* .key("key")
* .value("value")
* .build()))
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-lookoutequipment-inferencescheduler.html)
*/
public inline fun cfnInferenceSchedulerProps(block: CfnInferenceSchedulerPropsDsl.() -> Unit =
{}): CfnInferenceSchedulerProps {
val builder = CfnInferenceSchedulerPropsDsl()
builder.apply(block)
return builder.build()
}
/**
* Specifies configuration information for the input data for the inference, including input data
* S3 location.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.lookoutequipment.*;
* S3InputConfigurationProperty s3InputConfigurationProperty =
* S3InputConfigurationProperty.builder()
* .bucket("bucket")
* // the properties below are optional
* .prefix("prefix")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-lookoutequipment-inferencescheduler-s3inputconfiguration.html)
*/
public inline
fun cfnInferenceSchedulerS3InputConfigurationProperty(block: CfnInferenceSchedulerS3InputConfigurationPropertyDsl.() -> Unit
= {}): CfnInferenceScheduler.S3InputConfigurationProperty {
val builder = CfnInferenceSchedulerS3InputConfigurationPropertyDsl()
builder.apply(block)
return builder.build()
}
/**
* Specifies configuration information for the output results from the inference, including output
* S3 location.
*
* Example:
*
* ```
* // The code below shows an example of how to instantiate this type.
* // The values are placeholders you should change.
* import software.amazon.awscdk.services.lookoutequipment.*;
* S3OutputConfigurationProperty s3OutputConfigurationProperty =
* S3OutputConfigurationProperty.builder()
* .bucket("bucket")
* // the properties below are optional
* .prefix("prefix")
* .build();
* ```
*
* [Documentation](http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-lookoutequipment-inferencescheduler-s3outputconfiguration.html)
*/
public inline
fun cfnInferenceSchedulerS3OutputConfigurationProperty(block: CfnInferenceSchedulerS3OutputConfigurationPropertyDsl.() -> Unit
= {}): CfnInferenceScheduler.S3OutputConfigurationProperty {
val builder = CfnInferenceSchedulerS3OutputConfigurationPropertyDsl()
builder.apply(block)
return builder.build()
}
}
