/* * Copyright 2018-2023 Amazon.com, Inc. or its affiliates. All Rights Reserved. * * Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with * the License. A copy of the License is located at * * http://aws.amazon.com/apache2.0 * * or in the "license" file accompanying this file. This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR * CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions * and limitations under the License. */ package com.amazonaws.services.lookoutequipment.model; import java.io.Serializable; import javax.annotation.Generated; import com.amazonaws.AmazonWebServiceRequest; /** * * @see AWS API Documentation */ @Generated("com.amazonaws:aws-java-sdk-code-generator") public class CreateInferenceSchedulerRequest extends com.amazonaws.AmazonWebServiceRequest implements Serializable, Cloneable { /** *

* The name of the previously trained ML model being used to create the inference scheduler. *

*/ private String modelName; /** *

* The name of the inference scheduler being created. *

*/ private String inferenceSchedulerName; /** *

* The interval (in minutes) of planned delay at the start of each inference segment. For example, if inference is * set to run every ten minutes, the delay is set to five minutes and the time is 09:08. The inference scheduler * will wake up at the configured interval (which, without a delay configured, would be 09:10) plus the additional * five minute delay time (so 09:15) to check your Amazon S3 bucket. The delay provides a buffer for you to upload * data at the same frequency, so that you don't have to stop and restart the scheduler when uploading new data. *

*

* For more information, see Understanding the inference process. *

*/ private Long dataDelayOffsetInMinutes; /** *

* How often data is uploaded to the source Amazon S3 bucket for the input data. The value chosen 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 runs inference on your data. *

*

* For more information, see Understanding the inference process. *

*/ private String dataUploadFrequency; /** *

* Specifies configuration information for the input data for the inference scheduler, including delimiter, format, * and dataset location. *

*/ private InferenceInputConfiguration dataInputConfiguration; /** *

* Specifies configuration information for the output results for the inference scheduler, including the S3 location * for the output. *

*/ private InferenceOutputConfiguration dataOutputConfiguration; /** *

* The Amazon Resource Name (ARN) of a role with permission to access the data source being used for the inference. *

*/ private String roleArn; /** *

* Provides the identifier of the KMS key used to encrypt inference scheduler data by Amazon Lookout for Equipment. *

*/ private String serverSideKmsKeyId; /** *

* A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment * generates one. *

*/ private String clientToken; /** *

* Any tags associated with the inference scheduler. *

*/ private java.util.List tags; /** *

* The name of the previously trained ML model being used to create the inference scheduler. *

* * @param modelName * The name of the previously trained ML model being used to create the inference scheduler. */ public void setModelName(String modelName) { this.modelName = modelName; } /** *

* The name of the previously trained ML model being used to create the inference scheduler. *

* * @return The name of the previously trained ML model being used to create the inference scheduler. */ public String getModelName() { return this.modelName; } /** *

* The name of the previously trained ML model being used to create the inference scheduler. *

* * @param modelName * The name of the previously trained ML model being used to create the inference scheduler. * @return Returns a reference to this object so that method calls can be chained together. */ public CreateInferenceSchedulerRequest withModelName(String modelName) { setModelName(modelName); return this; } /** *

* The name of the inference scheduler being created. *

* * @param inferenceSchedulerName * The name of the inference scheduler being created. */ public void setInferenceSchedulerName(String inferenceSchedulerName) { this.inferenceSchedulerName = inferenceSchedulerName; } /** *

* The name of the inference scheduler being created. *

* * @return The name of the inference scheduler being created. */ public String getInferenceSchedulerName() { return this.inferenceSchedulerName; } /** *

* The name of the inference scheduler being created. *

* * @param inferenceSchedulerName * The name of the inference scheduler being created. * @return Returns a reference to this object so that method calls can be chained together. */ public CreateInferenceSchedulerRequest withInferenceSchedulerName(String inferenceSchedulerName) { setInferenceSchedulerName(inferenceSchedulerName); return this; } /** *

* The interval (in minutes) of planned delay at the start of each inference segment. For example, if inference is * set to run every ten minutes, the delay is set to five minutes and the time is 09:08. The inference scheduler * will wake up at the configured interval (which, without a delay configured, would be 09:10) plus the additional * five minute delay time (so 09:15) to check your Amazon S3 bucket. The delay provides a buffer for you to upload * data at the same frequency, so that you don't have to stop and restart the scheduler when uploading new data. *

*

* For more information, see Understanding the inference process. *

* * @param dataDelayOffsetInMinutes * The interval (in minutes) of planned delay at the start of each inference segment. For example, if * inference is set to run every ten minutes, the delay is set to five minutes and the time is 09:08. The * inference scheduler will wake up at the configured interval (which, without a delay configured, would be * 09:10) plus the additional five minute delay time (so 09:15) to check your Amazon S3 bucket. The delay * provides a buffer for you to upload data at the same frequency, so that you don't have to stop and restart * the scheduler when uploading new data.

*

* For more information, see Understanding the inference process. */ public void setDataDelayOffsetInMinutes(Long dataDelayOffsetInMinutes) { this.dataDelayOffsetInMinutes = dataDelayOffsetInMinutes; } /** *

* The interval (in minutes) of planned delay at the start of each inference segment. For example, if inference is * set to run every ten minutes, the delay is set to five minutes and the time is 09:08. The inference scheduler * will wake up at the configured interval (which, without a delay configured, would be 09:10) plus the additional * five minute delay time (so 09:15) to check your Amazon S3 bucket. The delay provides a buffer for you to upload * data at the same frequency, so that you don't have to stop and restart the scheduler when uploading new data. *

*

* For more information, see Understanding the inference process. *

* * @return The interval (in minutes) of planned delay at the start of each inference segment. For example, if * inference is set to run every ten minutes, the delay is set to five minutes and the time is 09:08. The * inference scheduler will wake up at the configured interval (which, without a delay configured, would be * 09:10) plus the additional five minute delay time (so 09:15) to check your Amazon S3 bucket. The delay * provides a buffer for you to upload data at the same frequency, so that you don't have to stop and * restart the scheduler when uploading new data.

*

* For more information, see Understanding the inference process. */ public Long getDataDelayOffsetInMinutes() { return this.dataDelayOffsetInMinutes; } /** *

* The interval (in minutes) of planned delay at the start of each inference segment. For example, if inference is * set to run every ten minutes, the delay is set to five minutes and the time is 09:08. The inference scheduler * will wake up at the configured interval (which, without a delay configured, would be 09:10) plus the additional * five minute delay time (so 09:15) to check your Amazon S3 bucket. The delay provides a buffer for you to upload * data at the same frequency, so that you don't have to stop and restart the scheduler when uploading new data. *

*

* For more information, see Understanding the inference process. *

* * @param dataDelayOffsetInMinutes * The interval (in minutes) of planned delay at the start of each inference segment. For example, if * inference is set to run every ten minutes, the delay is set to five minutes and the time is 09:08. The * inference scheduler will wake up at the configured interval (which, without a delay configured, would be * 09:10) plus the additional five minute delay time (so 09:15) to check your Amazon S3 bucket. The delay * provides a buffer for you to upload data at the same frequency, so that you don't have to stop and restart * the scheduler when uploading new data.

*

* For more information, see Understanding the inference process. * @return Returns a reference to this object so that method calls can be chained together. */ public CreateInferenceSchedulerRequest withDataDelayOffsetInMinutes(Long dataDelayOffsetInMinutes) { setDataDelayOffsetInMinutes(dataDelayOffsetInMinutes); return this; } /** *

* How often data is uploaded to the source Amazon S3 bucket for the input data. The value chosen 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 runs inference on your data. *

*

* For more information, see Understanding the inference process. *

* * @param dataUploadFrequency * How often data is uploaded to the source Amazon S3 bucket for the input data. The value chosen 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 runs inference on your data.

*

* For more information, see Understanding the inference process. * @see DataUploadFrequency */ public void setDataUploadFrequency(String dataUploadFrequency) { this.dataUploadFrequency = dataUploadFrequency; } /** *

* How often data is uploaded to the source Amazon S3 bucket for the input data. The value chosen 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 runs inference on your data. *

*

* For more information, see Understanding the inference process. *

* * @return How often data is uploaded to the source Amazon S3 bucket for the input data. The value chosen 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 runs inference on your data.

*

* For more information, see Understanding the inference process. * @see DataUploadFrequency */ public String getDataUploadFrequency() { return this.dataUploadFrequency; } /** *

* How often data is uploaded to the source Amazon S3 bucket for the input data. The value chosen 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 runs inference on your data. *

*

* For more information, see Understanding the inference process. *

* * @param dataUploadFrequency * How often data is uploaded to the source Amazon S3 bucket for the input data. The value chosen 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 runs inference on your data.

*

* For more information, see Understanding the inference process. * @return Returns a reference to this object so that method calls can be chained together. * @see DataUploadFrequency */ public CreateInferenceSchedulerRequest withDataUploadFrequency(String dataUploadFrequency) { setDataUploadFrequency(dataUploadFrequency); return this; } /** *

* How often data is uploaded to the source Amazon S3 bucket for the input data. The value chosen 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 runs inference on your data. *

*

* For more information, see Understanding the inference process. *

* * @param dataUploadFrequency * How often data is uploaded to the source Amazon S3 bucket for the input data. The value chosen 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 runs inference on your data.

*

* For more information, see Understanding the inference process. * @return Returns a reference to this object so that method calls can be chained together. * @see DataUploadFrequency */ public CreateInferenceSchedulerRequest withDataUploadFrequency(DataUploadFrequency dataUploadFrequency) { this.dataUploadFrequency = dataUploadFrequency.toString(); return this; } /** *

* Specifies configuration information for the input data for the inference scheduler, including delimiter, format, * and dataset location. *

* * @param dataInputConfiguration * Specifies configuration information for the input data for the inference scheduler, including delimiter, * format, and dataset location. */ public void setDataInputConfiguration(InferenceInputConfiguration dataInputConfiguration) { this.dataInputConfiguration = dataInputConfiguration; } /** *

* Specifies configuration information for the input data for the inference scheduler, including delimiter, format, * and dataset location. *

* * @return Specifies configuration information for the input data for the inference scheduler, including delimiter, * format, and dataset location. */ public InferenceInputConfiguration getDataInputConfiguration() { return this.dataInputConfiguration; } /** *

* Specifies configuration information for the input data for the inference scheduler, including delimiter, format, * and dataset location. *

* * @param dataInputConfiguration * Specifies configuration information for the input data for the inference scheduler, including delimiter, * format, and dataset location. * @return Returns a reference to this object so that method calls can be chained together. */ public CreateInferenceSchedulerRequest withDataInputConfiguration(InferenceInputConfiguration dataInputConfiguration) { setDataInputConfiguration(dataInputConfiguration); return this; } /** *

* Specifies configuration information for the output results for the inference scheduler, including the S3 location * for the output. *

* * @param dataOutputConfiguration * Specifies configuration information for the output results for the inference scheduler, including the S3 * location for the output. */ public void setDataOutputConfiguration(InferenceOutputConfiguration dataOutputConfiguration) { this.dataOutputConfiguration = dataOutputConfiguration; } /** *

* Specifies configuration information for the output results for the inference scheduler, including the S3 location * for the output. *

* * @return Specifies configuration information for the output results for the inference scheduler, including the S3 * location for the output. */ public InferenceOutputConfiguration getDataOutputConfiguration() { return this.dataOutputConfiguration; } /** *

* Specifies configuration information for the output results for the inference scheduler, including the S3 location * for the output. *

* * @param dataOutputConfiguration * Specifies configuration information for the output results for the inference scheduler, including the S3 * location for the output. * @return Returns a reference to this object so that method calls can be chained together. */ public CreateInferenceSchedulerRequest withDataOutputConfiguration(InferenceOutputConfiguration dataOutputConfiguration) { setDataOutputConfiguration(dataOutputConfiguration); return this; } /** *

* The Amazon Resource Name (ARN) of a role with permission to access the data source being used for the inference. *

* * @param roleArn * The Amazon Resource Name (ARN) of a role with permission to access the data source being used for the * inference. */ public void setRoleArn(String roleArn) { this.roleArn = roleArn; } /** *

* The Amazon Resource Name (ARN) of a role with permission to access the data source being used for the inference. *

* * @return The Amazon Resource Name (ARN) of a role with permission to access the data source being used for the * inference. */ public String getRoleArn() { return this.roleArn; } /** *

* The Amazon Resource Name (ARN) of a role with permission to access the data source being used for the inference. *

* * @param roleArn * The Amazon Resource Name (ARN) of a role with permission to access the data source being used for the * inference. * @return Returns a reference to this object so that method calls can be chained together. */ public CreateInferenceSchedulerRequest withRoleArn(String roleArn) { setRoleArn(roleArn); return this; } /** *

* Provides the identifier of the KMS key used to encrypt inference scheduler data by Amazon Lookout for Equipment. *

* * @param serverSideKmsKeyId * Provides the identifier of the KMS key used to encrypt inference scheduler data by Amazon Lookout for * Equipment. */ public void setServerSideKmsKeyId(String serverSideKmsKeyId) { this.serverSideKmsKeyId = serverSideKmsKeyId; } /** *

* Provides the identifier of the KMS key used to encrypt inference scheduler data by Amazon Lookout for Equipment. *

* * @return Provides the identifier of the KMS key used to encrypt inference scheduler data by Amazon Lookout for * Equipment. */ public String getServerSideKmsKeyId() { return this.serverSideKmsKeyId; } /** *

* Provides the identifier of the KMS key used to encrypt inference scheduler data by Amazon Lookout for Equipment. *

* * @param serverSideKmsKeyId * Provides the identifier of the KMS key used to encrypt inference scheduler data by Amazon Lookout for * Equipment. * @return Returns a reference to this object so that method calls can be chained together. */ public CreateInferenceSchedulerRequest withServerSideKmsKeyId(String serverSideKmsKeyId) { setServerSideKmsKeyId(serverSideKmsKeyId); return this; } /** *

* A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment * generates one. *

* * @param clientToken * A unique identifier for the request. If you do not set the client request token, Amazon Lookout for * Equipment generates one. */ public void setClientToken(String clientToken) { this.clientToken = clientToken; } /** *

* A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment * generates one. *

* * @return A unique identifier for the request. If you do not set the client request token, Amazon Lookout for * Equipment generates one. */ public String getClientToken() { return this.clientToken; } /** *

* A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment * generates one. *

* * @param clientToken * A unique identifier for the request. If you do not set the client request token, Amazon Lookout for * Equipment generates one. * @return Returns a reference to this object so that method calls can be chained together. */ public CreateInferenceSchedulerRequest withClientToken(String clientToken) { setClientToken(clientToken); return this; } /** *

* Any tags associated with the inference scheduler. *

* * @return Any tags associated with the inference scheduler. */ public java.util.List getTags() { return tags; } /** *

* Any tags associated with the inference scheduler. *

* * @param tags * Any tags associated with the inference scheduler. */ public void setTags(java.util.Collection tags) { if (tags == null) { this.tags = null; return; } this.tags = new java.util.ArrayList(tags); } /** *

* Any tags associated with the inference scheduler. *

*

* NOTE: This method appends the values to the existing list (if any). Use * {@link #setTags(java.util.Collection)} or {@link #withTags(java.util.Collection)} if you want to override the * existing values. *

* * @param tags * Any tags associated with the inference scheduler. * @return Returns a reference to this object so that method calls can be chained together. */ public CreateInferenceSchedulerRequest withTags(Tag... tags) { if (this.tags == null) { setTags(new java.util.ArrayList(tags.length)); } for (Tag ele : tags) { this.tags.add(ele); } return this; } /** *

* Any tags associated with the inference scheduler. *

* * @param tags * Any tags associated with the inference scheduler. * @return Returns a reference to this object so that method calls can be chained together. */ public CreateInferenceSchedulerRequest withTags(java.util.Collection tags) { setTags(tags); return this; } /** * Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be * redacted from this string using a placeholder value. * * @return A string representation of this object. * * @see java.lang.Object#toString() */ @Override public String toString() { StringBuilder sb = new StringBuilder(); sb.append("{"); if (getModelName() != null) sb.append("ModelName: ").append(getModelName()).append(","); if (getInferenceSchedulerName() != null) sb.append("InferenceSchedulerName: ").append(getInferenceSchedulerName()).append(","); if (getDataDelayOffsetInMinutes() != null) sb.append("DataDelayOffsetInMinutes: ").append(getDataDelayOffsetInMinutes()).append(","); if (getDataUploadFrequency() != null) sb.append("DataUploadFrequency: ").append(getDataUploadFrequency()).append(","); if (getDataInputConfiguration() != null) sb.append("DataInputConfiguration: ").append(getDataInputConfiguration()).append(","); if (getDataOutputConfiguration() != null) sb.append("DataOutputConfiguration: ").append(getDataOutputConfiguration()).append(","); if (getRoleArn() != null) sb.append("RoleArn: ").append(getRoleArn()).append(","); if (getServerSideKmsKeyId() != null) sb.append("ServerSideKmsKeyId: ").append(getServerSideKmsKeyId()).append(","); if (getClientToken() != null) sb.append("ClientToken: ").append(getClientToken()).append(","); if (getTags() != null) sb.append("Tags: ").append(getTags()); sb.append("}"); return sb.toString(); } @Override public boolean equals(Object obj) { if (this == obj) return true; if (obj == null) return false; if (obj instanceof CreateInferenceSchedulerRequest == false) return false; CreateInferenceSchedulerRequest other = (CreateInferenceSchedulerRequest) obj; if (other.getModelName() == null ^ this.getModelName() == null) return false; if (other.getModelName() != null && other.getModelName().equals(this.getModelName()) == false) return false; if (other.getInferenceSchedulerName() == null ^ this.getInferenceSchedulerName() == null) return false; if (other.getInferenceSchedulerName() != null && other.getInferenceSchedulerName().equals(this.getInferenceSchedulerName()) == false) return false; if (other.getDataDelayOffsetInMinutes() == null ^ this.getDataDelayOffsetInMinutes() == null) return false; if (other.getDataDelayOffsetInMinutes() != null && other.getDataDelayOffsetInMinutes().equals(this.getDataDelayOffsetInMinutes()) == false) return false; if (other.getDataUploadFrequency() == null ^ this.getDataUploadFrequency() == null) return false; if (other.getDataUploadFrequency() != null && other.getDataUploadFrequency().equals(this.getDataUploadFrequency()) == false) return false; if (other.getDataInputConfiguration() == null ^ this.getDataInputConfiguration() == null) return false; if (other.getDataInputConfiguration() != null && other.getDataInputConfiguration().equals(this.getDataInputConfiguration()) == false) return false; if (other.getDataOutputConfiguration() == null ^ this.getDataOutputConfiguration() == null) return false; if (other.getDataOutputConfiguration() != null && other.getDataOutputConfiguration().equals(this.getDataOutputConfiguration()) == false) return false; if (other.getRoleArn() == null ^ this.getRoleArn() == null) return false; if (other.getRoleArn() != null && other.getRoleArn().equals(this.getRoleArn()) == false) return false; if (other.getServerSideKmsKeyId() == null ^ this.getServerSideKmsKeyId() == null) return false; if (other.getServerSideKmsKeyId() != null && other.getServerSideKmsKeyId().equals(this.getServerSideKmsKeyId()) == false) return false; if (other.getClientToken() == null ^ this.getClientToken() == null) return false; if (other.getClientToken() != null && other.getClientToken().equals(this.getClientToken()) == false) return false; if (other.getTags() == null ^ this.getTags() == null) return false; if (other.getTags() != null && other.getTags().equals(this.getTags()) == false) return false; return true; } @Override public int hashCode() { final int prime = 31; int hashCode = 1; hashCode = prime * hashCode + ((getModelName() == null) ? 0 : getModelName().hashCode()); hashCode = prime * hashCode + ((getInferenceSchedulerName() == null) ? 0 : getInferenceSchedulerName().hashCode()); hashCode = prime * hashCode + ((getDataDelayOffsetInMinutes() == null) ? 0 : getDataDelayOffsetInMinutes().hashCode()); hashCode = prime * hashCode + ((getDataUploadFrequency() == null) ? 0 : getDataUploadFrequency().hashCode()); hashCode = prime * hashCode + ((getDataInputConfiguration() == null) ? 0 : getDataInputConfiguration().hashCode()); hashCode = prime * hashCode + ((getDataOutputConfiguration() == null) ? 0 : getDataOutputConfiguration().hashCode()); hashCode = prime * hashCode + ((getRoleArn() == null) ? 0 : getRoleArn().hashCode()); hashCode = prime * hashCode + ((getServerSideKmsKeyId() == null) ? 0 : getServerSideKmsKeyId().hashCode()); hashCode = prime * hashCode + ((getClientToken() == null) ? 0 : getClientToken().hashCode()); hashCode = prime * hashCode + ((getTags() == null) ? 0 : getTags().hashCode()); return hashCode; } @Override public CreateInferenceSchedulerRequest clone() { return (CreateInferenceSchedulerRequest) super.clone(); } }