code formatting

This commit is contained in:
Claudio Atzori 2021-02-25 12:28:56 +01:00
parent 9c899f4433
commit 271e88537b
3 changed files with 29 additions and 26 deletions

View File

@ -1,14 +1,14 @@
package eu.dnetlib.dhp.transformation.xslt;
import static eu.dnetlib.dhp.transformation.xslt.XSLTTransformationFunction.QNAME_BASE_URI;
import java.io.Serializable;
import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup;
import eu.dnetlib.dhp.schema.oaf.Qualifier;
import net.sf.saxon.s9api.*;
import java.io.Serializable;
import static eu.dnetlib.dhp.transformation.xslt.XSLTTransformationFunction.QNAME_BASE_URI;
public class Cleaner implements ExtensionFunction, Serializable {
private final VocabularyGroup vocabularies;

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@ -1,6 +1,8 @@
package eu.dnetlib.dhp.transformation.xslt;
import static eu.dnetlib.dhp.transformation.xslt.XSLTTransformationFunction.QNAME_BASE_URI;
import java.io.Serializable;
import java.time.LocalDate;
import java.time.format.DateTimeFormatter;
@ -10,8 +12,6 @@ import java.util.regex.Pattern;
import net.sf.saxon.s9api.*;
import static eu.dnetlib.dhp.transformation.xslt.XSLTTransformationFunction.QNAME_BASE_URI;
public class DateCleaner implements ExtensionFunction, Serializable {
private final static List<Pattern> dateRegex = Arrays

View File

@ -76,23 +76,26 @@ public class TransformationJobTest extends AbstractVocabularyTest {
conf.setAppName(TransformationJobTest.class.getSimpleName());
conf.setMaster("local");
try(SparkSession spark = SparkSession.builder().config(conf).getOrCreate()) {
try (SparkSession spark = SparkSession.builder().config(conf).getOrCreate()) {
final String mdstore_input = this.getClass().getResource("/eu/dnetlib/dhp/transform/mdstorenative").getFile();
final String mdstore_input = this
.getClass()
.getResource("/eu/dnetlib/dhp/transform/mdstorenative")
.getFile();
final String mdstore_output = testDir.toString() + "/version";
mockupTrasformationRule("simpleTRule", "/eu/dnetlib/dhp/transform/ext_simple.xsl");
final Map<String, String> parameters = Stream.of(new String[][]{
{
"dateOfTransformation", "1234"
},
{
"transformationPlugin", "XSLT_TRANSFORM"
},
{
"transformationRuleId", "simpleTRule"
},
final Map<String, String> parameters = Stream.of(new String[][] {
{
"dateOfTransformation", "1234"
},
{
"transformationPlugin", "XSLT_TRANSFORM"
},
{
"transformationRuleId", "simpleTRule"
},
}).collect(Collectors.toMap(data -> data[0], data -> data[1]));
@ -102,20 +105,20 @@ public class TransformationJobTest extends AbstractVocabularyTest {
final Encoder<MetadataRecord> encoder = Encoders.bean(MetadataRecord.class);
final Dataset<MetadataRecord> mOutput = spark
.read()
.format("parquet")
.load(mdstore_output + MDSTORE_DATA_PATH)
.as(encoder);
.read()
.format("parquet")
.load(mdstore_output + MDSTORE_DATA_PATH)
.as(encoder);
final Long total = mOutput.count();
final long recordTs = mOutput
.filter((FilterFunction<MetadataRecord>) p -> p.getDateOfTransformation() == 1234)
.count();
.filter((FilterFunction<MetadataRecord>) p -> p.getDateOfTransformation() == 1234)
.count();
final long recordNotEmpty = mOutput
.filter((FilterFunction<MetadataRecord>) p -> !StringUtils.isBlank(p.getBody()))
.count();
.filter((FilterFunction<MetadataRecord>) p -> !StringUtils.isBlank(p.getBody()))
.count();
assertEquals(total, recordTs);