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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 owlocationNameEntitieship.
* 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 org.apache.tika.parser.recognition;
import java.io.IOException;
import java.io.InputStream;
import java.io.InputStreamReader;
import java.io.Reader;
import java.nio.charset.StandardCharsets;
import java.util.Collections;
import java.util.Map;
import java.util.Set;
import edu.usc.irds.agepredictor.authorage.AgePredicterLocal;
import opennlp.tools.util.InvalidFormatException;
import org.apache.commons.io.IOUtils;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.xml.sax.ContentHandler;
import org.apache.tika.Tika;
import org.apache.tika.config.Initializable;
import org.apache.tika.config.InitializableProblemHandler;
import org.apache.tika.config.Param;
import org.apache.tika.config.TikaConfig;
import org.apache.tika.exception.TikaConfigException;
import org.apache.tika.metadata.Metadata;
import org.apache.tika.mime.MediaType;
import org.apache.tika.parser.AbstractParser;
import org.apache.tika.parser.ParseContext;
/**
* Parser for extracting features from text. Below features are extracted
*
* <ul>
* <li>Author Age</li>
* </ul>
*/
public class AgeRecogniser extends AbstractParser implements Initializable {
public static final String MD_KEY_ESTIMATED_AGE_RANGE = "Estimated-Author-Age-Range";
public static final String MD_KEY_ESTIMATED_AGE = "Estimated-Author-Age";
private static final long serialVersionUID = 1108439049093046832L;
private static final Logger LOG = LoggerFactory.getLogger(AgeRecogniser.class);
private static final MediaType MEDIA_TYPE = MediaType.TEXT_PLAIN;
private static final Set<MediaType> SUPPORTED_TYPES = Collections.singleton(MEDIA_TYPE);
private static AgePredicterLocal agePredictor;
private static volatile boolean available = false;
public Tika secondaryParser;
private AgeRecogniserConfig config;
public AgeRecogniser() {
try {
secondaryParser = new Tika(new TikaConfig());
available = true;
} catch (Exception e) {
available = false;
LOG.error("Unable to initialize secondary parser", e);
}
}
@Override
public void checkInitialization(InitializableProblemHandler problemHandler)
throws TikaConfigException {
//TODO: what do we want to check here?
}
@Override
public Set<MediaType> getSupportedTypes(ParseContext parseContext) {
return SUPPORTED_TYPES;
}
@Override
public void initialize(Map<String, Param> params) throws TikaConfigException {
config = new AgeRecogniserConfig(params);
}
public AgePredicterLocal getAgePredictorClient() throws InvalidFormatException, IOException {
if (agePredictor == null) {
agePredictor = new AgePredicterLocal(config.getPathClassifyModel(),
config.getPathClassifyRegression());
}
return agePredictor;
}
/**
* USED in test cases to mock response of AgeClassifier
*/
protected static void setAgePredictorClient(AgePredicterLocal agePredicter) {
if (AgeRecogniser.agePredictor == null) {
AgeRecogniser.agePredictor = agePredicter;
}
}
@Override
public void parse(InputStream inputStream, ContentHandler handler, Metadata metadata,
ParseContext context) throws IOException {
this.config = context.get(AgeRecogniserConfig.class, config);
if (!available) {
LOG.error("Parser Unavailable, check your configuration");
return;
}
// If content is not plain text use Tika to extract text out of content.
Reader reader;
if (MediaType.TEXT_PLAIN.toString().equals(metadata.get(Metadata.CONTENT_TYPE))) {
reader = new InputStreamReader(inputStream, StandardCharsets.UTF_8);
} else {
reader = secondaryParser.parse(inputStream);
}
// Use Spark AgePredictor to get predicted Age
try {
double predictAuthorAge = getAgePredictorClient().predictAge(IOUtils.toString(reader));
metadata.add(MD_KEY_ESTIMATED_AGE, Double.toString(predictAuthorAge));
} catch (Exception e) {
LOG.error("Age Predictor is not available. Please check wiki for detailed instructions",
e);
return;
}
}
}