Examples with FilterValue io.hops.hopsworks.common.featurestore.query.filter.FilterValue used on opensource projects

Example 1 with FilterValue

use of io.hops.hopsworks.common.featurestore.query.filter.FilterValue in project hopsworks by logicalclocks.

the class TrainingDatasetController method convertToFilter.

private Filter convertToFilter(TrainingDatasetFilterCondition condition, Map<String, Feature> features) {
    FilterValue filterValue;
    if (condition.getValueFeatureGroupId() == null) {
        filterValue = new FilterValue(condition.getValue());
    } else {
        Feature filterValueFeature = features.get(makeFeatureLookupKey(condition.getValueFeatureGroupId(), condition.getValue()));
        filterValue = new FilterValue(condition.getValueFeatureGroupId(), filterValueFeature.getFgAlias(), condition.getValue());
    }
    return new Filter(features.get(makeFeatureLookupKey(condition.getFeatureGroup().getId(), condition.getFeature())), condition.getCondition(), filterValue);
}

Example 2 with FilterValue

use of io.hops.hopsworks.common.featurestore.query.filter.FilterValue in project hopsworks by logicalclocks.

the class TrainingDatasetControllerTest method testConvertToFilterLogic_multipleFeatureValueCondition.

public void testConvertToFilterLogic_multipleFeatureValueCondition() throws Exception {
    // fg.feature > fg.otherFeature and fg.feature > fg1.otherFeature
    List<TrainingDatasetFilter> filters = new ArrayList<>();
    filters.add(createTrainingDatasetFilter(null, AND, "L"));
    filters.add(createTrainingDatasetFilter(createTrainingDatasetFilterCondition("test_f", GREATER_THAN, "test_f1", 0, 0), SINGLE, "L.L"));
    filters.add(createTrainingDatasetFilter(createTrainingDatasetFilterCondition("test_f", GREATER_THAN, "test_f2", 0, 1), SINGLE, "L.R"));
    Map<String, Feature> featureLookup = Maps.newHashMap();
    Feature feature = new Feature("test_f", "fg0");
    Feature feature1 = new Feature("test_f1", "fg0");
    Feature feature2 = new Feature("test_f2", "fg1");
    Featuregroup featuregroup0 = new Featuregroup();
    featuregroup0.setId(0);
    Featuregroup featuregroup1 = new Featuregroup();
    featuregroup1.setId(1);
    feature.setFeatureGroup(featuregroup0);
    feature1.setFeatureGroup(featuregroup0);
    feature2.setFeatureGroup(featuregroup1);
    featureLookup.put("0.test_f", feature);
    featureLookup.put("0.test_f1", feature1);
    featureLookup.put("1.test_f2", feature2);
    FilterLogic actual = target.convertToFilterLogic(filters, featureLookup, "L");
    Filter left = new Filter(feature, GREATER_THAN, new FilterValue(0, "fg0", "test_f1"));
    Filter right = new Filter(feature, GREATER_THAN, new FilterValue(1, "fg1", "test_f2"));
    Assert.assertEquals(actual.getType(), AND);
    Assert.assertEquals(actual.getLeftFilter(), left);
    Assert.assertNull(actual.getLeftLogic());
    Assert.assertEquals(actual.getRightFilter(), right);
    Assert.assertNull(actual.getRightLogic());
}

Example 3 with FilterValue

use of io.hops.hopsworks.common.featurestore.query.filter.FilterValue in project hopsworks by logicalclocks.

the class TrainingDatasetControllerTest method testConvertToFilterLogic_featureValueCondition.

public void testConvertToFilterLogic_featureValueCondition() throws Exception {
    // fg.feature > fg.otherFeature
    List<TrainingDatasetFilter> filters = new ArrayList<>();
    filters.add(createTrainingDatasetFilter(createTrainingDatasetFilterCondition("test_f", GREATER_THAN, "test_f1", 0, 0), SINGLE, "L"));
    Map<String, Feature> featureLookup = Maps.newHashMap();
    Feature feature = new Feature("test_f", "fg0");
    Feature feature1 = new Feature("test_f1", "fg0");
    Featuregroup featuregroup = new Featuregroup();
    featuregroup.setId(0);
    feature.setFeatureGroup(featuregroup);
    feature1.setFeatureGroup(featuregroup);
    featureLookup.put("0.test_f", feature);
    featureLookup.put("0.test_f1", feature1);
    FilterLogic actual = target.convertToFilterLogic(filters, featureLookup, "L");
    Filter left = new Filter(feature, GREATER_THAN, new FilterValue(0, "fg0", "test_f1"));
    Assert.assertEquals(actual.getType(), SINGLE);
    Assert.assertEquals(actual.getLeftFilter(), left);
    Assert.assertNull(actual.getLeftLogic());
    Assert.assertNull(actual.getRightFilter());
    Assert.assertNull(actual.getRightLogic());
}

Example 4 with FilterValue

use of io.hops.hopsworks.common.featurestore.query.filter.FilterValue in project hopsworks by logicalclocks.

the class TrainingDatasetControllerTest method testconvertToFilterEntities_featureComparison.

@Test
public void testconvertToFilterEntities_featureComparison() throws Exception {
    // fg.feature > fg.otherFeature and fg.feature > fg1.otherFeature
    TrainingDataset trainingDataset = new TrainingDataset();
    Feature f1 = new Feature("test_f", "fg0");
    FilterLogic head = new FilterLogic();
    head.setType(AND);
    FilterValue filterValueLeft = new FilterValue(0, "fg0", "test_f1");
    Filter left = new Filter(f1, GREATER_THAN, filterValueLeft);
    head.setLeftFilter(left);
    FilterValue filterValueRight = new FilterValue(1, "fg1", "test_f2");
    Filter right = new Filter(f1, GREATER_THAN, filterValueRight);
    head.setRightFilter(right);
    List<TrainingDatasetFilter> actual = target.convertToFilterEntities(head, trainingDataset, "L");
    List<TrainingDatasetFilter> expected = new ArrayList<>();
    expected.add(createTrainingDatasetFilter(null, AND, "L"));
    expected.add(createTrainingDatasetFilter(createTrainingDatasetFilterCondition("test_f", GREATER_THAN, "test_f1", null, 0), SINGLE, "L.L"));
    expected.add(createTrainingDatasetFilter(createTrainingDatasetFilterCondition("test_f", GREATER_THAN, "test_f2", null, 1), SINGLE, "L.R"));
    Assert.assertEquals(expected.size(), actual.size());
    Assert.assertTrue(expected.containsAll(actual));
    Assert.assertTrue(actual.containsAll(expected));
}