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Neo4j Graph Data Science :: Pipelines Procedure Facade

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/*
 * Copyright (c) "Neo4j"
 * Neo4j Sweden AB [http://neo4j.com]
 *
 * This file is part of Neo4j.
 *
 * Neo4j is free software: you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation, either version 3 of the License, or
 * (at your option) any later version.
 *
 * This program is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU General Public License for more details.
 *
 * You should have received a copy of the GNU General Public License
 * along with this program.  If not, see .
 */
package org.neo4j.gds.procedures.pipelines;

import org.neo4j.gds.applications.algorithms.machinery.AlgorithmProcessingTimings;
import org.neo4j.gds.applications.algorithms.machinery.ResultRenderer;
import org.neo4j.gds.core.loading.GraphResources;
import org.neo4j.gds.ml.pipeline.linkPipeline.train.LinkPredictionTrainPipelineExecutor;

import java.util.Optional;
import java.util.stream.Stream;

class LinkPredictionTrainResultRenderer implements ResultRenderer, Void> {
    @Override
    public Stream render(
        GraphResources graphResources,
        Optional result,
        AlgorithmProcessingTimings timings,
        Optional unused
    ) {
        if (result.isEmpty()) return Stream.empty();

        var linkPredictionTrainPipelineResult = result.get();

        var linkPredictionTrainResult = new LinkPredictionTrainResult(
            linkPredictionTrainPipelineResult.model(),
            linkPredictionTrainPipelineResult.trainingStatistics(),
            timings.computeMillis
        );

        return Stream.of(linkPredictionTrainResult);
    }
}