MovAvgTests.java

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package org.elasticsearch.search.aggregations.pipeline.moving.avg;

import org.elasticsearch.common.xcontent.json.JsonXContent;
import org.elasticsearch.search.aggregations.BasePipelineAggregationTestCase;
import org.elasticsearch.search.aggregations.PipelineAggregationBuilder;
import org.elasticsearch.search.aggregations.pipeline.BucketHelpers.GapPolicy;
import org.elasticsearch.search.aggregations.pipeline.movavg.MovAvgPipelineAggregationBuilder;
import org.elasticsearch.search.aggregations.pipeline.movavg.models.EwmaModel;
import org.elasticsearch.search.aggregations.pipeline.movavg.models.HoltLinearModel;
import org.elasticsearch.search.aggregations.pipeline.movavg.models.HoltWintersModel;
import org.elasticsearch.search.aggregations.pipeline.movavg.models.HoltWintersModel.SeasonalityType;
import org.elasticsearch.search.aggregations.pipeline.movavg.models.LinearModel;
import org.elasticsearch.search.aggregations.pipeline.movavg.models.SimpleModel;

public class MovAvgTests extends BasePipelineAggregationTestCase<MovAvgPipelineAggregationBuilder> {

    @Override
    protected MovAvgPipelineAggregationBuilder createTestAggregatorFactory() {
        String name = randomAlphaOfLengthBetween(3, 20);
        String bucketsPath = randomAlphaOfLengthBetween(3, 20);
        MovAvgPipelineAggregationBuilder factory = new MovAvgPipelineAggregationBuilder(name, bucketsPath);
        if (randomBoolean()) {
            factory.format(randomAlphaOfLengthBetween(1, 10));
        }
        if (randomBoolean()) {
            factory.gapPolicy(randomFrom(GapPolicy.values()));
        }
        if (randomBoolean()) {
            switch (randomInt(4)) {
            case 0:
                factory.modelBuilder(new SimpleModel.SimpleModelBuilder());
                factory.window(randomIntBetween(1, 100));
                break;
            case 1:
                factory.modelBuilder(new LinearModel.LinearModelBuilder());
                factory.window(randomIntBetween(1, 100));
                break;
            case 2:
                if (randomBoolean()) {
                    factory.modelBuilder(new EwmaModel.EWMAModelBuilder());
                    factory.window(randomIntBetween(1, 100));
                } else {
                    factory.modelBuilder(new EwmaModel.EWMAModelBuilder().alpha(randomDouble()));
                    factory.window(randomIntBetween(1, 100));
                }
                break;
            case 3:
                if (randomBoolean()) {
                    factory.modelBuilder(new HoltLinearModel.HoltLinearModelBuilder());
                    factory.window(randomIntBetween(1, 100));
                } else {
                    factory.modelBuilder(new HoltLinearModel.HoltLinearModelBuilder().alpha(randomDouble()).beta(randomDouble()));
                    factory.window(randomIntBetween(1, 100));
                }
                break;
            case 4:
            default:
                if (randomBoolean()) {
                    factory.modelBuilder(new HoltWintersModel.HoltWintersModelBuilder());
                    factory.window(randomIntBetween(2, 100));
                } else {
                    int period = randomIntBetween(1, 100);
                    factory.modelBuilder(
                            new HoltWintersModel.HoltWintersModelBuilder().alpha(randomDouble()).beta(randomDouble()).gamma(randomDouble())
                                    .period(period).seasonalityType(randomFrom(SeasonalityType.values())).pad(randomBoolean()));
                    factory.window(randomIntBetween(2 * period, 200 * period));
                }
                break;
            }
        }
        factory.predict(randomIntBetween(1, 50));
        if (factory.model().canBeMinimized() && randomBoolean()) {
            factory.minimize(randomBoolean());
        }
        return factory;
    }

    public void testDefaultParsing() throws Exception {
        MovAvgPipelineAggregationBuilder expected = new MovAvgPipelineAggregationBuilder("commits_moving_avg", "commits");
        String json = "{" +
            "    \"commits_moving_avg\": {" +
            "        \"moving_avg\": {" +
            "            \"buckets_path\": \"commits\"" +
            "        }" +
            "    }" +
            "}";
        PipelineAggregationBuilder newAgg = parse(createParser(JsonXContent.jsonXContent, json));
        assertNotSame(newAgg, expected);
        assertEquals(expected, newAgg);
        assertEquals(expected.hashCode(), newAgg.hashCode());
    }
}