/*
 * ARX: Powerful Data Anonymization
 * Copyright 2012 - 2017 Fabian Prasser, Florian Kohlmayer and contributors
 * 
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 * 
 * http://www.apache.org/licenses/LICENSE-2.0
 * 
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License 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 org.deidentifier.arx.criteria;

import org.deidentifier.arx.certificate.elements.ElementData;
import org.deidentifier.arx.framework.check.groupify.HashGroupifyDistribution;

/**
 * This criterion ensures that the sample uniqueness falls below a given threshold.
 * 
 * @author Fabian Prasser
 */
public class SampleUniqueness extends RiskBasedCriterion{


    /** SVUID*/
    private static final long serialVersionUID = -4528395062333281525L;

    /**
     * Creates a new instance of this criterion.
     *  
     * @param riskThreshold
     */
    public SampleUniqueness(double riskThreshold){
        super(true, true, riskThreshold);
    }
    
    @Override
    public SampleUniqueness clone() {
        return new SampleUniqueness(this.getRiskThreshold());
    }

    /**
     * Return marketer risk threshold, 1 if there is none
     * @return
     */
    public double getRiskThresholdMarketer() {
        // TODO: Risk is estimated differently than in the other models, here
        return getRiskThreshold();
    }

    @Override
    public boolean isLocalRecodingSupported() {
        return false;
    }

    @Override
    public ElementData render() {
        ElementData result = new ElementData("Sample uniqueness");
        result.addProperty("Threshold", super.getRiskThreshold());
        return result;
    }

    @Override
    public String toString() {
        return "("+getRiskThreshold()+")-sample-uniqueness";
    }

    @Override
    protected boolean isFulfilled(HashGroupifyDistribution distribution) {
        return distribution.getFractionOfRecordsInClassesOfSize(1) <= getRiskThreshold();
    }
}