forked from D-Net/dnet-hadoop
[EOSCTag] changed code to remove EOSC Jupyter Notebook and modified test to exclude galaxy + software from the tagging for Galaxy
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@ -95,13 +95,14 @@ public class SparkEoscTag {
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if (containsCriteriaNotebook(s)) {
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sbject.add(EOSC_NOTEBOOK);
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if (sbject.stream().anyMatch(sb -> sb.getValue().equals("EOSC Jupyter Notebook"))){
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if (sbject.stream().anyMatch(sb -> sb.getValue().equals("EOSC Jupyter Notebook"))) {
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sbject = sbject.stream().map(sb -> {
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if (sb.getValue().equals("EOSC Jupyter Notebook")){
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if (sb.getValue().equals("EOSC Jupyter Notebook")) {
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return null;
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}
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return sb;
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}).filter(Objects::nonNull).collect(Collectors.toList());
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s.setSubject(sbject);
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}
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}
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if (containsCriteriaGalaxy(s)) {
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@ -132,7 +132,7 @@ public class EOSCTagJobTest {
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Assertions
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.assertEquals(
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2, tmp
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1, tmp
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.filter(sw -> sw.getId().equals("50|od______1582::4132f5ec9496f0d6adc7b00a50a56ff4"))
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.collect()
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.get(0)
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@ -326,7 +326,7 @@ public class EOSCTagJobTest {
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Assertions
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.assertEquals(
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2,
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1,
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tmp
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.filter(
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s -> s.getSubject().stream().anyMatch(sbj -> sbj.getValue().equals("EOSC::Galaxy Workflow")))
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@ -352,21 +352,12 @@ public class EOSCTagJobTest {
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Assertions
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.assertEquals(
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6, tmp
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5, tmp
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.filter(sw -> sw.getId().equals("50|od______1582::501b25d420f808c8eddcd9b16e917f11"))
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.collect()
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.get(0)
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.getSubject()
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.size());
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Assertions
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.assertTrue(
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tmp
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.filter(sw -> sw.getId().equals("50|od______1582::501b25d420f808c8eddcd9b16e917f11"))
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.collect()
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.get(0)
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.getSubject()
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.stream()
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.anyMatch(s -> s.getValue().equals("EOSC::Galaxy Workflow")));
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Assertions
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.assertEquals(
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@ -394,7 +385,7 @@ public class EOSCTagJobTest {
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Assertions
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.assertEquals(
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2,
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1,
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orp
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.filter(
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s -> s.getSubject().stream().anyMatch(sbj -> sbj.getValue().equals("EOSC::Galaxy Workflow")))
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@ -438,14 +429,14 @@ public class EOSCTagJobTest {
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Assertions
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.assertEquals(
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3, orp
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2, orp
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.filter(sw -> sw.getId().equals("50|od______2017::1e400f1747487fd15998735c41a55c72"))
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.collect()
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.get(0)
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.getSubject()
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.size());
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Assertions
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.assertTrue(
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.assertFalse(
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orp
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.filter(sw -> sw.getId().equals("50|od______2017::1e400f1747487fd15998735c41a55c72"))
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.collect()
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