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GraphAware Framework Module for adding NLP capabilities to Neo4j.

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/*
 * Copyright (c) 2013-2018 GraphAware
 *
 * This file is part of the GraphAware Framework.
 *
 * GraphAware Framework 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 com.graphaware.nlp.dsl.procedure;

import com.graphaware.nlp.dsl.AbstractDSL;
import com.graphaware.nlp.dsl.request.SimilarityRequest;
import com.graphaware.nlp.dsl.result.SingleResult;
import com.graphaware.nlp.ml.similarity.SimilarityProcessor;
import com.graphaware.nlp.ml.similarity.VectorProcessLogic;
import org.neo4j.procedure.Description;
import org.neo4j.procedure.Mode;
import org.neo4j.procedure.Name;
import org.neo4j.procedure.Procedure;

import java.util.Map;
import java.util.stream.Stream;
import org.neo4j.logging.Log;
import com.graphaware.common.log.LoggerFactory;

public class SimilarityProcedure extends AbstractDSL {

    private static final Log LOG = LoggerFactory.getLogger(VectorProcessLogic.class);

    @Procedure(name = "ga.nlp.ml.similarity.cosine", mode = Mode.WRITE)
    @Description("Compute similarity between Annotated Text")
    public Stream similarity(@Name("similarityRequest") Map similarityRequest) {
        try {
            SimilarityRequest request = SimilarityRequest.fromMap(similarityRequest);
            SimilarityProcessor similarityProcessor = (SimilarityProcessor) getNLPManager().getExtension(SimilarityProcessor.class);
            int processed = similarityProcessor.compute(request);
            return Stream.of(new SingleResult(processed));
        } catch (Exception ex) {
            LOG.error("Error while computing similarity", ex);
            throw new RuntimeException(ex);
        }

    }

}