forked from D-Net/dnet-hadoop
HACK: patch NULL values with defaults found in result.datainfo.deletedbyinference and result.context
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@ -4,6 +4,7 @@ package eu.dnetlib.dhp.bulktag;
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import static eu.dnetlib.dhp.PropagationConstant.removeOutputDir;
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import static eu.dnetlib.dhp.PropagationConstant.removeOutputDir;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
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import java.util.ArrayList;
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import java.util.Optional;
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import java.util.Optional;
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import org.apache.commons.io.IOUtils;
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import org.apache.commons.io.IOUtils;
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@ -100,6 +101,7 @@ public class SparkBulkTagJob {
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ResultTagger resultTagger = new ResultTagger();
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ResultTagger resultTagger = new ResultTagger();
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readPath(spark, inputPath, resultClazz)
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readPath(spark, inputPath, resultClazz)
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.map(patchResult(), Encoders.bean(resultClazz))
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.map(
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.map(
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(MapFunction<R, R>) value -> resultTagger
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(MapFunction<R, R>) value -> resultTagger
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.enrichContextCriteria(
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.enrichContextCriteria(
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@ -119,4 +121,17 @@ public class SparkBulkTagJob {
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.map((MapFunction<String, R>) value -> OBJECT_MAPPER.readValue(value, clazz), Encoders.bean(clazz));
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.map((MapFunction<String, R>) value -> OBJECT_MAPPER.readValue(value, clazz), Encoders.bean(clazz));
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}
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}
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// TODO remove this hack as soon as the values fixed by this method will be provided as NON null
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private static <R extends Result> MapFunction<R, R> patchResult() {
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return (MapFunction<R, R>) r -> {
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if (r.getDataInfo().getDeletedbyinference() == null) {
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r.getDataInfo().setDeletedbyinference(false);
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}
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if (r.getContext() == null) {
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r.setContext(new ArrayList<>());
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}
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return r;
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};
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}
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}
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}
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