test for patching records for EOSC Future

This commit is contained in:
Alessia Bardi 2021-10-07 17:30:45 +02:00
parent b924276e18
commit 8d3b60f446
6 changed files with 551 additions and 17 deletions

View File

@ -88,6 +88,26 @@ public class IndexRecordTransformerTest {
testRecordTransformation(record);
}
@Test
public void testForEOSCFutureAirQualityCopernicus() throws IOException, TransformerException {
final String record = IOUtils.toString(getClass().getResourceAsStream("eosc-future/air-quality-copernicus.xml"));
testRecordTransformation(record);
}
@Test
public void testForEOSCFutureB2SharePlotSw() throws IOException, TransformerException {
final String record = IOUtils.toString(getClass().getResourceAsStream("eosc-future/b2share-plot-sw.xml"));
testRecordTransformation(record);
}
@Test
public void testForEOSCFutureB2SharePlotRelatedORP() throws IOException, TransformerException {
final String record = IOUtils.toString(getClass().getResourceAsStream("eosc-future/b2share-plot-related-orp.xml"));
testRecordTransformation(record);
}
private void testRecordTransformation(final String record) throws IOException, TransformerException {
final String fields = IOUtils.toString(getClass().getResourceAsStream("fields.xml"));
final String xslt = IOUtils.toString(getClass().getResourceAsStream("layoutToRecordTransformer.xsl"));

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@ -0,0 +1,114 @@
<record>
<result xmlns:dri="http://www.driver-repository.eu/namespace/dri"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<header>
<dri:objIdentifier>r37b0ad08687::a8df7db30ae0e4e0b875a098df7b652f</dri:objIdentifier>
<dri:dateOfCollection>2021-10-07T01:56:56Z</dri:dateOfCollection>
<dri:status>under curation</dri:status>
<counters/>
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<title classid="main title" classname="main title" schemeid="dnet:dataCite_title"
schemename="dnet:dataCite_title">Using CAMS European air quality analysis from Copernicus
Atmosphere Monitoring with RELIANCE services
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This notebook shows how to discover and access the Copernicus Atmosphere Monitoring products available in the RELIANCE datacube resources.
The process is structured in 6 steps, including example of data analysis and visualization with the Python libraries installed in the Jupyter environment
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