opennlp.tools.langdetect.ThreadSafeLanguageDetectorME Maven / Gradle / Ivy
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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 opennlp.tools.langdetect;
import opennlp.tools.commons.ThreadSafe;
/**
* A thread-safe version of the {@link LanguageDetectorME}. Using it is completely transparent.
* You can use it in a single-threaded context as well, it only incurs a minimal overhead.
*
* @implNote
* This implementation uses a {@link ThreadLocal}. Although the implementation is
* lightweight because the model is not duplicated, if you have many long-running threads,
* you may run into memory problems.
*
* Be careful when using this in a Jakarta EE application, for example.
*
* The user is responsible for clearing the {@link ThreadLocal}.
*
* @see LanguageDetector
* @see LanguageDetectorME
*/
@ThreadSafe
public class ThreadSafeLanguageDetectorME implements LanguageDetector, AutoCloseable {
private final LanguageDetectorModel model;
private final ThreadLocal threadLocal = new ThreadLocal<>();
/**
* Initializes a {@link ThreadSafeLanguageDetectorME} with the specified {@code model}.
*
* @param model A valid {@link LanguageDetectorModel}.
*/
public ThreadSafeLanguageDetectorME(LanguageDetectorModel model) {
super();
this.model = model;
}
private LanguageDetectorME getLanguageDetector() {
LanguageDetectorME ld = threadLocal.get();
if (ld == null) {
ld = new LanguageDetectorME(model);
threadLocal.set(ld);
}
return ld;
}
@Override
public Language[] predictLanguages(CharSequence content) {
return getLanguageDetector().predictLanguages(content);
}
@Override
public Language predictLanguage(CharSequence content) {
return getLanguageDetector().predictLanguage(content);
}
@Override
public String[] getSupportedLanguages() {
return getLanguageDetector().getSupportedLanguages();
}
@Override
public void close() {
threadLocal.remove();
}
}
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