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/**
 * Copyright (C) Telicent Ltd
 *
 * Licensed 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 io.telicent.smart.cache.sources.kafka.serializers;

import org.apache.commons.lang3.StringUtils;
import org.apache.jena.graph.Graph;
import org.apache.jena.riot.Lang;
import org.apache.jena.riot.RDFLanguages;
import org.apache.jena.riot.RDFParser;
import org.apache.jena.riot.RDFParserBuilder;
import org.apache.kafka.common.header.Headers;
import org.apache.kafka.common.serialization.Deserializer;

import java.io.ByteArrayInputStream;
import java.util.Objects;

/**
 * Abstract base class for RDF deserializers
 * 

* This implements common logic around allowing the deserializer to have a default language. Also it honours a * {@code Content-Type} header in the headers of a message to automatically select the correct RDF parser, thus allowing * it to cope with topics that contain RDF serialized in different RDF formats. *

* * @param Type of the RDF Data structure that is deserialized */ public abstract class AbstractRdfDeserializer extends AbstractRdfSerdes implements Deserializer { /** * Creates a new RDF deserializer * * @param defaultLang Default RDF Language to use */ public AbstractRdfDeserializer(Lang defaultLang) { super(defaultLang); Objects.requireNonNull(defaultLang, "defaultLang cannot be null"); } /** * Builds an RDF parser for the given data assuming this deserializers configured default language * * @param data Data * @return RDF parser */ protected RDFParser buildParser(byte[] data) { return buildParser(this.defaultLang, data); } /** * Builds an RDF parser for the given RDF language and data * * @param lang RDF Language * @param data Data * @return RDF parser */ protected RDFParser buildParser(Lang lang, byte[] data) { return RDFParserBuilder.create() .lang(lang != null ? lang : this.defaultLang) .source(new ByteArrayInputStream(data)) .build(); } @Override public T deserialize(String topic, byte[] data) { if (data == null) { return null; } RDFParser parser = buildParser(data); return deserializeInternal(parser); } @Override public T deserialize(String topic, Headers headers, byte[] data) { if (data == null) { return null; } String contentType = findContentType(headers); // No explicit Content-Type header(s) defined so just fallback to deserializing with our default language if (StringUtils.isBlank(contentType)) { return deserialize(topic, data); } // Explicit Content-Type headers(s) so deserialize with the appropriate language RDFParser parser = buildParser(RDFLanguages.contentTypeToLang(contentType), data); return deserializeInternal(parser); } /** * Deserializes using the given RDF Parser that has been built based upon the deserializer configuration and Kafka * headers. *

* The built parser already includes the bytes to be deserialized as part of its configuration so derived * implementations should merely need to invoke the appropriate {@code parse()} method on it e.g. * {@link RDFParser#parse(Graph)}. *

* * @param parser RDF Parser to use * @return Deserialized RDF */ protected abstract T deserializeInternal(RDFParser parser); }




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