/* * 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.customerprofiles.model; import java.io.Serializable; import javax.annotation.Generated; /** * * @see AWS API Documentation */ @Generated("com.amazonaws:aws-java-sdk-code-generator") public class GetSimilarProfilesResult extends com.amazonaws.AmazonWebServiceResult implements Serializable, Cloneable { /** *

* Set of profileIds that belong to the same matching group. *

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

* The string matchId that the similar profiles belong to. *

*/ private String matchId; /** *

* Specify the type of matching to get similar profiles for. *

*/ private String matchType; /** *

* The integer rule level that the profiles matched on. *

*/ private Integer ruleLevel; /** *

* It only has value when the MatchType is ML_BASED_MATCHING.A number between 0 and 1, * where a higher score means higher similarity. Examining match confidence scores lets you distinguish between * groups of similar records in which the system is highly confident (which you may decide to merge), groups of * similar records about which the system is uncertain (which you may decide to have reviewed by a human), and * groups of similar records that the system deems to be unlikely (which you may decide to reject). Given confidence * scores vary as per the data input, it should not be used as an absolute measure of matching quality. *

*/ private Double confidenceScore; /** *

* The pagination token from the previous GetSimilarProfiles API call. *

*/ private String nextToken; /** *

* Set of profileIds that belong to the same matching group. *

* * @return Set of profileIds that belong to the same matching group. */ public java.util.List getProfileIds() { return profileIds; } /** *

* Set of profileIds that belong to the same matching group. *

* * @param profileIds * Set of profileIds that belong to the same matching group. */ public void setProfileIds(java.util.Collection profileIds) { if (profileIds == null) { this.profileIds = null; return; } this.profileIds = new java.util.ArrayList(profileIds); } /** *

* Set of profileIds that belong to the same matching group. *

*

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

* * @param profileIds * Set of profileIds that belong to the same matching group. * @return Returns a reference to this object so that method calls can be chained together. */ public GetSimilarProfilesResult withProfileIds(String... profileIds) { if (this.profileIds == null) { setProfileIds(new java.util.ArrayList(profileIds.length)); } for (String ele : profileIds) { this.profileIds.add(ele); } return this; } /** *

* Set of profileIds that belong to the same matching group. *

* * @param profileIds * Set of profileIds that belong to the same matching group. * @return Returns a reference to this object so that method calls can be chained together. */ public GetSimilarProfilesResult withProfileIds(java.util.Collection profileIds) { setProfileIds(profileIds); return this; } /** *

* The string matchId that the similar profiles belong to. *

* * @param matchId * The string matchId that the similar profiles belong to. */ public void setMatchId(String matchId) { this.matchId = matchId; } /** *

* The string matchId that the similar profiles belong to. *

* * @return The string matchId that the similar profiles belong to. */ public String getMatchId() { return this.matchId; } /** *

* The string matchId that the similar profiles belong to. *

* * @param matchId * The string matchId that the similar profiles belong to. * @return Returns a reference to this object so that method calls can be chained together. */ public GetSimilarProfilesResult withMatchId(String matchId) { setMatchId(matchId); return this; } /** *

* Specify the type of matching to get similar profiles for. *

* * @param matchType * Specify the type of matching to get similar profiles for. * @see MatchType */ public void setMatchType(String matchType) { this.matchType = matchType; } /** *

* Specify the type of matching to get similar profiles for. *

* * @return Specify the type of matching to get similar profiles for. * @see MatchType */ public String getMatchType() { return this.matchType; } /** *

* Specify the type of matching to get similar profiles for. *

* * @param matchType * Specify the type of matching to get similar profiles for. * @return Returns a reference to this object so that method calls can be chained together. * @see MatchType */ public GetSimilarProfilesResult withMatchType(String matchType) { setMatchType(matchType); return this; } /** *

* Specify the type of matching to get similar profiles for. *

* * @param matchType * Specify the type of matching to get similar profiles for. * @return Returns a reference to this object so that method calls can be chained together. * @see MatchType */ public GetSimilarProfilesResult withMatchType(MatchType matchType) { this.matchType = matchType.toString(); return this; } /** *

* The integer rule level that the profiles matched on. *

* * @param ruleLevel * The integer rule level that the profiles matched on. */ public void setRuleLevel(Integer ruleLevel) { this.ruleLevel = ruleLevel; } /** *

* The integer rule level that the profiles matched on. *

* * @return The integer rule level that the profiles matched on. */ public Integer getRuleLevel() { return this.ruleLevel; } /** *

* The integer rule level that the profiles matched on. *

* * @param ruleLevel * The integer rule level that the profiles matched on. * @return Returns a reference to this object so that method calls can be chained together. */ public GetSimilarProfilesResult withRuleLevel(Integer ruleLevel) { setRuleLevel(ruleLevel); return this; } /** *

* It only has value when the MatchType is ML_BASED_MATCHING.A number between 0 and 1, * where a higher score means higher similarity. Examining match confidence scores lets you distinguish between * groups of similar records in which the system is highly confident (which you may decide to merge), groups of * similar records about which the system is uncertain (which you may decide to have reviewed by a human), and * groups of similar records that the system deems to be unlikely (which you may decide to reject). Given confidence * scores vary as per the data input, it should not be used as an absolute measure of matching quality. *

* * @param confidenceScore * It only has value when the MatchType is ML_BASED_MATCHING.A number between 0 and * 1, where a higher score means higher similarity. Examining match confidence scores lets you distinguish * between groups of similar records in which the system is highly confident (which you may decide to merge), * groups of similar records about which the system is uncertain (which you may decide to have reviewed by a * human), and groups of similar records that the system deems to be unlikely (which you may decide to * reject). Given confidence scores vary as per the data input, it should not be used as an absolute measure * of matching quality. */ public void setConfidenceScore(Double confidenceScore) { this.confidenceScore = confidenceScore; } /** *

* It only has value when the MatchType is ML_BASED_MATCHING.A number between 0 and 1, * where a higher score means higher similarity. Examining match confidence scores lets you distinguish between * groups of similar records in which the system is highly confident (which you may decide to merge), groups of * similar records about which the system is uncertain (which you may decide to have reviewed by a human), and * groups of similar records that the system deems to be unlikely (which you may decide to reject). Given confidence * scores vary as per the data input, it should not be used as an absolute measure of matching quality. *

* * @return It only has value when the MatchType is ML_BASED_MATCHING.A number between 0 * and 1, where a higher score means higher similarity. Examining match confidence scores lets you * distinguish between groups of similar records in which the system is highly confident (which you may * decide to merge), groups of similar records about which the system is uncertain (which you may decide to * have reviewed by a human), and groups of similar records that the system deems to be unlikely (which you * may decide to reject). Given confidence scores vary as per the data input, it should not be used as an * absolute measure of matching quality. */ public Double getConfidenceScore() { return this.confidenceScore; } /** *

* It only has value when the MatchType is ML_BASED_MATCHING.A number between 0 and 1, * where a higher score means higher similarity. Examining match confidence scores lets you distinguish between * groups of similar records in which the system is highly confident (which you may decide to merge), groups of * similar records about which the system is uncertain (which you may decide to have reviewed by a human), and * groups of similar records that the system deems to be unlikely (which you may decide to reject). Given confidence * scores vary as per the data input, it should not be used as an absolute measure of matching quality. *

* * @param confidenceScore * It only has value when the MatchType is ML_BASED_MATCHING.A number between 0 and * 1, where a higher score means higher similarity. Examining match confidence scores lets you distinguish * between groups of similar records in which the system is highly confident (which you may decide to merge), * groups of similar records about which the system is uncertain (which you may decide to have reviewed by a * human), and groups of similar records that the system deems to be unlikely (which you may decide to * reject). Given confidence scores vary as per the data input, it should not be used as an absolute measure * of matching quality. * @return Returns a reference to this object so that method calls can be chained together. */ public GetSimilarProfilesResult withConfidenceScore(Double confidenceScore) { setConfidenceScore(confidenceScore); return this; } /** *

* The pagination token from the previous GetSimilarProfiles API call. *

* * @param nextToken * The pagination token from the previous GetSimilarProfiles API call. */ public void setNextToken(String nextToken) { this.nextToken = nextToken; } /** *

* The pagination token from the previous GetSimilarProfiles API call. *

* * @return The pagination token from the previous GetSimilarProfiles API call. */ public String getNextToken() { return this.nextToken; } /** *

* The pagination token from the previous GetSimilarProfiles API call. *

* * @param nextToken * The pagination token from the previous GetSimilarProfiles API call. * @return Returns a reference to this object so that method calls can be chained together. */ public GetSimilarProfilesResult withNextToken(String nextToken) { setNextToken(nextToken); 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 (getProfileIds() != null) sb.append("ProfileIds: ").append(getProfileIds()).append(","); if (getMatchId() != null) sb.append("MatchId: ").append(getMatchId()).append(","); if (getMatchType() != null) sb.append("MatchType: ").append(getMatchType()).append(","); if (getRuleLevel() != null) sb.append("RuleLevel: ").append(getRuleLevel()).append(","); if (getConfidenceScore() != null) sb.append("ConfidenceScore: ").append(getConfidenceScore()).append(","); if (getNextToken() != null) sb.append("NextToken: ").append(getNextToken()); sb.append("}"); return sb.toString(); } @Override public boolean equals(Object obj) { if (this == obj) return true; if (obj == null) return false; if (obj instanceof GetSimilarProfilesResult == false) return false; GetSimilarProfilesResult other = (GetSimilarProfilesResult) obj; if (other.getProfileIds() == null ^ this.getProfileIds() == null) return false; if (other.getProfileIds() != null && other.getProfileIds().equals(this.getProfileIds()) == false) return false; if (other.getMatchId() == null ^ this.getMatchId() == null) return false; if (other.getMatchId() != null && other.getMatchId().equals(this.getMatchId()) == false) return false; if (other.getMatchType() == null ^ this.getMatchType() == null) return false; if (other.getMatchType() != null && other.getMatchType().equals(this.getMatchType()) == false) return false; if (other.getRuleLevel() == null ^ this.getRuleLevel() == null) return false; if (other.getRuleLevel() != null && other.getRuleLevel().equals(this.getRuleLevel()) == false) return false; if (other.getConfidenceScore() == null ^ this.getConfidenceScore() == null) return false; if (other.getConfidenceScore() != null && other.getConfidenceScore().equals(this.getConfidenceScore()) == false) return false; if (other.getNextToken() == null ^ this.getNextToken() == null) return false; if (other.getNextToken() != null && other.getNextToken().equals(this.getNextToken()) == false) return false; return true; } @Override public int hashCode() { final int prime = 31; int hashCode = 1; hashCode = prime * hashCode + ((getProfileIds() == null) ? 0 : getProfileIds().hashCode()); hashCode = prime * hashCode + ((getMatchId() == null) ? 0 : getMatchId().hashCode()); hashCode = prime * hashCode + ((getMatchType() == null) ? 0 : getMatchType().hashCode()); hashCode = prime * hashCode + ((getRuleLevel() == null) ? 0 : getRuleLevel().hashCode()); hashCode = prime * hashCode + ((getConfidenceScore() == null) ? 0 : getConfidenceScore().hashCode()); hashCode = prime * hashCode + ((getNextToken() == null) ? 0 : getNextToken().hashCode()); return hashCode; } @Override public GetSimilarProfilesResult clone() { try { return (GetSimilarProfilesResult) super.clone(); } catch (CloneNotSupportedException e) { throw new IllegalStateException("Got a CloneNotSupportedException from Object.clone() " + "even though we're Cloneable!", e); } } }