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 * Licensed to Elasticsearch under one or more contributor
 * license agreements. See the NOTICE file distributed with
 * this work for additional information regarding copyright
 * ownership. Elasticsearch licenses this file to you 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
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package org.elasticsearch.client.ml.dataframe.evaluation.outlierdetection;

import org.elasticsearch.client.ml.dataframe.evaluation.EvaluationMetric;
import org.elasticsearch.common.ParseField;
import org.elasticsearch.common.xcontent.ToXContent;
import org.elasticsearch.common.xcontent.XContentBuilder;

import java.io.IOException;
import java.util.List;
import java.util.Objects;

abstract class AbstractConfusionMatrixMetric implements EvaluationMetric {

    protected static final ParseField AT = new ParseField("at");

    protected final double[] thresholds;

    protected AbstractConfusionMatrixMetric(List<Double> at) {
        this.thresholds = Objects.requireNonNull(at).stream().mapToDouble(Double::doubleValue).toArray();
    }

    @Override
    public XContentBuilder toXContent(XContentBuilder builder, ToXContent.Params params) throws IOException {
        return builder
            .startObject()
            .field(AT.getPreferredName(), thresholds)
            .endObject();
    }
}
