/*
 * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
 * or more contributor license agreements. Licensed under the "Elastic License
 * 2.0", the "GNU Affero General Public License v3.0 only", and the "Server Side
 * Public License v 1"; you may not use this file except in compliance with, at
 * your election, the "Elastic License 2.0", the "GNU Affero General Public
 * License v3.0 only", or the "Server Side Public License, v 1".
 */

package org.elasticsearch.search.suggest.phrase;

import org.elasticsearch.xcontent.XContentParser;

import java.io.IOException;

import static org.hamcrest.Matchers.instanceOf;

public class LinearInterpolationModelTests extends SmoothingModelTestCase {

    @Override
    protected SmoothingModel createTestModel() {
        return createRandomModel();
    }

    static LinearInterpolation createRandomModel() {
        double trigramLambda = randomDoubleBetween(0.0, 10.0, false);
        double bigramLambda = randomDoubleBetween(0.0, 10.0, false);
        double unigramLambda = randomDoubleBetween(0.0, 10.0, false);
        // normalize so parameters sum to 1
        double sum = trigramLambda + bigramLambda + unigramLambda;
        return new LinearInterpolation(trigramLambda / sum, bigramLambda / sum, unigramLambda / sum);
    }

    /**
     * mutate the given model so the returned smoothing model is different
     */
    @Override
    protected LinearInterpolation createMutation(SmoothingModel input) {
        LinearInterpolation original = (LinearInterpolation) input;
        // swap two values permute original lambda values
        return switch (randomIntBetween(0, 2)) {
            case 0 ->
                // swap first two
                new LinearInterpolation(original.getBigramLambda(), original.getTrigramLambda(), original.getUnigramLambda());
            case 1 ->
                // swap last two
                new LinearInterpolation(original.getTrigramLambda(), original.getUnigramLambda(), original.getBigramLambda());
            default ->
                // swap first and last
                new LinearInterpolation(original.getUnigramLambda(), original.getBigramLambda(), original.getTrigramLambda());
        };
    }

    @Override
    void assertWordScorer(WordScorer wordScorer, SmoothingModel in) {
        LinearInterpolation testModel = (LinearInterpolation) in;
        LinearInterpolatingScorer testScorer = (LinearInterpolatingScorer) wordScorer;
        assertThat(wordScorer, instanceOf(LinearInterpolatingScorer.class));
        assertEquals(testModel.getTrigramLambda(), (testScorer).trigramLambda(), 1e-15);
        assertEquals(testModel.getBigramLambda(), (testScorer).bigramLambda(), 1e-15);
        assertEquals(testModel.getUnigramLambda(), (testScorer).unigramLambda(), 1e-15);
    }

    @Override
    protected SmoothingModel fromXContent(XContentParser parser) throws IOException {
        return LinearInterpolation.fromXContent(parser);
    }
}