at.storm.bolt.FeatureGenerationBolt.java Source code

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Here is the source code for at.storm.bolt.FeatureGenerationBolt.java

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/**
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF 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 under the License.
 */
package at.storm.bolt;

import java.util.List;
import java.util.Map;

import org.apache.storm.task.TopologyContext;
import org.apache.storm.topology.BasicOutputCollector;
import org.apache.storm.topology.OutputFieldsDeclarer;
import org.apache.storm.topology.base.BaseBasicBolt;
import org.apache.storm.tuple.Tuple;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import com.google.gson.JsonObject;

import at.storm.bolt.values.data.FeatureGenerationBoltData;
import at.storm.bolt.values.data.POSTaggerBoltData;
import at.storm.bolt.values.statistic.tuple.TupleStatistic;
import at.storm.commons.Configuration;
import at.storm.commons.Dataset;
import at.storm.commons.FeaturedTweet;
import at.storm.commons.featurevector.pos.CombinedFeatureVectorGenerator;
import at.storm.commons.featurevector.pos.FeatureVectorGenerator;
import at.storm.commons.tfidf.TfIdfNormalization;
import at.storm.commons.tfidf.TfType;
import at.storm.commons.tfidf.pos.TweetTfIdf;
import at.storm.commons.util.io.SerializationUtils;
import cmu.arktweetnlp.Tagger.TaggedToken;

public class FeatureGenerationBolt extends BaseBasicBolt {
    public static final String ID = "feature-generation-bolt";
    public static final String CONF_LOGGING = ID + ".logging";
    private static final long serialVersionUID = 5340637976415982170L;
    private static final Logger LOG = LoggerFactory.getLogger(FeatureGenerationBolt.class);
    private boolean m_logging = false;
    private Dataset m_dataset;
    private FeatureVectorGenerator m_fvg = null;

    @Override
    public void declareOutputFields(OutputFieldsDeclarer declarer) {
        // key of output tuples
        declarer.declare(FeatureGenerationBoltData.getSchema());
    }

    @SuppressWarnings("rawtypes")
    @Override
    public void prepare(Map config, TopologyContext context) {
        //      this.m_dataset = Configuration.getDataSetSemEval2013();
        this.m_dataset = Configuration.getDataSetTwitch();

        // Optional set logging
        if (config.get(CONF_LOGGING) != null) {
            m_logging = (Boolean) config.get(CONF_LOGGING);
        } else {
            m_logging = false;
        }

        List<FeaturedTweet> featuredTrainTweets = SerializationUtils
                .deserialize(m_dataset.getTrainDataSerializationFile());
        if (featuredTrainTweets != null) {
            TweetTfIdf tweetTfIdf = TweetTfIdf.createFromTaggedTokens(
                    FeaturedTweet.getTaggedTokensFromTweets(featuredTrainTweets), TfType.LOG,
                    TfIdfNormalization.COS, true);

            LOG.info("Load CombinedFeatureVectorGenerator...");
            m_fvg = new CombinedFeatureVectorGenerator(true, tweetTfIdf);
        } else {
            LOG.error("TaggedTweets could not be found! File is missing: "
                    + m_dataset.getTrainDataSerializationFile());
        }
    }

    @Override
    public void execute(Tuple tuple, BasicOutputCollector collector) {
        POSTaggerBoltData posTaggerValue = POSTaggerBoltData.getFromTuple(tuple);
        JsonObject jsonObject = posTaggerValue.getJsonObject();
        TupleStatistic tupleStatistic = posTaggerValue.getTupleStatistic();
        List<TaggedToken> taggedTokens = posTaggerValue.getTaggedTokens();

        // Generate Feature Vector
        Map<Integer, Double> featureVector = m_fvg.generateFeatureVector(taggedTokens);

        if (m_logging) {
            LOG.info("Tweet: " + jsonObject.get("msg").getAsString() + " FeatureVector: " + featureVector);
        }

        // Emit new tuples
        collector.emit(new FeatureGenerationBoltData(jsonObject, tupleStatistic, featureVector));
    }

}