use of edu.uci.ics.texera.api.field.DoubleField in project textdb by TextDB.
the class DictionaryMatcherTest method testMultipleWordsQueryUsingKeywordChinese.
/**
* Scenario: verifies ITuple returned by DictionaryMatcher and multiple
* word queries using KEYWORD OPERATOR
*/
@Test
public void testMultipleWordsQueryUsingKeywordChinese() throws Exception {
ArrayList<String> names = new ArrayList<String>(Arrays.asList("洛克贝尔"));
Dictionary dictionary = new Dictionary(names);
// create a data tuple first
List<Span> list = new ArrayList<Span>();
Span span = new Span("lastName", 0, 4, "洛克贝尔", "洛克贝尔");
;
list.add(span);
Attribute[] schemaAttributes = new Attribute[TestConstantsChinese.ATTRIBUTES_PEOPLE.length + 1];
for (int count = 0; count < schemaAttributes.length - 1; count++) {
schemaAttributes[count] = TestConstantsChinese.ATTRIBUTES_PEOPLE[count];
}
schemaAttributes[schemaAttributes.length - 1] = RESULTS_ATTRIBUTE;
IField[] fields1 = { new StringField("孔明"), new StringField("洛克贝尔"), new IntegerField(42), new DoubleField(5.99), new DateField(new SimpleDateFormat("MM-dd-yyyy").parse("01-13-1974")), new TextField("北京大学计算机学院"), new ListField<Span>(list) };
Tuple tuple1 = new Tuple(new Schema(schemaAttributes), fields1);
List<Tuple> expectedResults = new ArrayList<Tuple>();
expectedResults.add(tuple1);
List<String> attributeNames = Arrays.asList(TestConstantsChinese.FIRST_NAME, TestConstantsChinese.LAST_NAME, TestConstantsChinese.DESCRIPTION);
List<Tuple> returnedResults = DictionaryMatcherTestHelper.getQueryResults(CHINESE_TABLE, dictionary, attributeNames, KeywordMatchingType.CONJUNCTION_INDEXBASED);
boolean contains = TestUtils.equals(expectedResults, returnedResults);
Assert.assertTrue(contains);
}
use of edu.uci.ics.texera.api.field.DoubleField in project textdb by TextDB.
the class DictionaryMatcherTest method testWordInMultipleFieldsQueryUsingScan.
/**
* Scenario S-11:verifies: data source has multiple attributes, and an
* entity can appear in all the fields and multiple times using SUBSTRING_SCANBASE
* OPERATOR.
*/
@Test
public void testWordInMultipleFieldsQueryUsingScan() throws Exception {
ArrayList<String> names = new ArrayList<String>(Arrays.asList("lin clooney"));
Dictionary dictionary = new Dictionary(names);
// create a data tuple first
List<Span> list = new ArrayList<Span>();
Span span1 = new Span("lastName", 0, 11, "lin clooney", "lin clooney");
Span span2 = new Span("description", 0, 11, "lin clooney", "Lin Clooney");
Span span3 = new Span("description", 25, 36, "lin clooney", "lin clooney");
list.add(span1);
list.add(span2);
list.add(span3);
Attribute[] schemaAttributes = new Attribute[TestConstants.ATTRIBUTES_PEOPLE.length + 1];
for (int count = 0; count < schemaAttributes.length - 1; count++) {
schemaAttributes[count] = TestConstants.ATTRIBUTES_PEOPLE[count];
}
schemaAttributes[schemaAttributes.length - 1] = RESULTS_ATTRIBUTE;
IField[] fields1 = { new StringField("george lin lin"), new StringField("lin clooney"), new IntegerField(43), new DoubleField(6.06), new DateField(new SimpleDateFormat("MM-dd-yyyy").parse("01-13-1973")), new TextField("Lin Clooney is Short and lin clooney is Angry"), new ListField<Span>(list) };
Tuple tuple1 = new Tuple(new Schema(schemaAttributes), fields1);
List<Tuple> expectedResults = new ArrayList<Tuple>();
expectedResults.add(tuple1);
List<String> attributeNames = Arrays.asList(TestConstants.FIRST_NAME, TestConstants.LAST_NAME, TestConstants.DESCRIPTION);
List<Tuple> returnedResults = DictionaryMatcherTestHelper.getQueryResults(PEOPLE_TABLE, dictionary, attributeNames, KeywordMatchingType.SUBSTRING_SCANBASED);
boolean contains = TestUtils.equals(expectedResults, returnedResults);
Assert.assertTrue(contains);
}
use of edu.uci.ics.texera.api.field.DoubleField in project textdb by TextDB.
the class FuzzyTokenMatcherTest method TestFuzzyTokenMatcherWithLimitOffset.
@Test
public void TestFuzzyTokenMatcherWithLimitOffset() throws Exception {
String query = "Twelve Angry Men";
// The ratio of tokens that need to be matched
double threshold = 0.5;
ArrayList<String> attributeNames = new ArrayList<>();
attributeNames.add(TestConstants.DESCRIPTION);
Schema schema = new Schema.Builder().add(TestConstants.SCHEMA_PEOPLE).add(RESULTS_ATTR).build();
List<Span> list = new ArrayList<>();
Span span = new Span(TestConstants.DESCRIPTION, 5, 10, "angry", "Angry", 1);
list.add(span);
IField[] fields1 = { new StringField("bruce"), new StringField("john Lee"), new IntegerField(46), new DoubleField(5.50), new DateField(new SimpleDateFormat("MM-dd-yyyy").parse("01-14-1970")), new TextField("Tall Angry"), new ListField<>(list) };
list = new ArrayList<>();
span = new Span(TestConstants.DESCRIPTION, 6, 11, "angry", "Angry", 1);
list.add(span);
IField[] fields2 = { new StringField("brad lie angelina"), new StringField("pitt"), new IntegerField(44), new DoubleField(6.10), new DateField(new SimpleDateFormat("MM-dd-yyyy").parse("01-12-1972")), new TextField("White Angry"), new ListField<>(list) };
list = new ArrayList<>();
span = new Span(TestConstants.DESCRIPTION, 40, 45, "angry", "Angry", 8);
list.add(span);
IField[] fields3 = { new StringField("george lin lin"), new StringField("lin clooney"), new IntegerField(43), new DoubleField(6.06), new DateField(new SimpleDateFormat("MM-dd-yyyy").parse("01-13-1973")), new TextField("Lin Clooney is Short and lin clooney is Angry"), new ListField<>(list) };
list = new ArrayList<>();
span = new Span(TestConstants.DESCRIPTION, 6, 11, "angry", "angry", 1);
list.add(span);
IField[] fields4 = { new StringField("Mary brown"), new StringField("Lake Forest"), new IntegerField(42), new DoubleField(5.99), new DateField(new SimpleDateFormat("MM-dd-yyyy").parse("01-13-1974")), new TextField("Short angry"), new ListField<>(list) };
Tuple tuple1 = new Tuple(schema, fields1);
Tuple tuple2 = new Tuple(schema, fields2);
Tuple tuple3 = new Tuple(schema, fields3);
Tuple tuple4 = new Tuple(schema, fields4);
List<Tuple> expectedResultList = new ArrayList<>();
expectedResultList.add(tuple1);
expectedResultList.add(tuple2);
expectedResultList.add(tuple3);
expectedResultList.add(tuple4);
List<Tuple> results = FuzzyTokenMatcherTestHelper.getQueryResults(PEOPLE_TABLE, query, threshold, attributeNames, 2, 1);
Assert.assertEquals(expectedResultList.size(), 4);
Assert.assertEquals(results.size(), 2);
Assert.assertTrue(TestUtils.containsAll(expectedResultList, results));
}
use of edu.uci.ics.texera.api.field.DoubleField in project textdb by TextDB.
the class FuzzyTokenMatcherTest method TestFuzzyTokenMatcher1.
@Test
public void TestFuzzyTokenMatcher1() throws Exception {
String query = "Twelve Angry Men";
// The ratio of tokens that need to be matched
double threshold = 0.5;
ArrayList<String> attributeNames = new ArrayList<>();
attributeNames.add(TestConstants.DESCRIPTION);
Schema schema = new Schema.Builder().add(TestConstants.SCHEMA_PEOPLE).add(RESULTS_ATTR).build();
List<Span> spanList1 = Arrays.asList(new Span(TestConstants.DESCRIPTION, 5, 10, "angry", "Angry", 1));
IField[] fields1 = { new StringField("bruce"), new StringField("john Lee"), new IntegerField(46), new DoubleField(5.50), new DateField(new SimpleDateFormat("MM-dd-yyyy").parse("01-14-1970")), new TextField("Tall Angry"), new ListField<Span>(spanList1) };
List<Span> spanList2 = Arrays.asList(new Span(TestConstants.DESCRIPTION, 6, 11, "angry", "Angry", 1));
IField[] fields2 = { new StringField("brad lie angelina"), new StringField("pitt"), new IntegerField(44), new DoubleField(6.10), new DateField(new SimpleDateFormat("MM-dd-yyyy").parse("01-12-1972")), new TextField("White Angry"), new ListField<Span>(spanList2) };
List<Span> spanList3 = Arrays.asList(new Span(TestConstants.DESCRIPTION, 40, 45, "angry", "Angry", 8));
IField[] fields3 = { new StringField("george lin lin"), new StringField("lin clooney"), new IntegerField(43), new DoubleField(6.06), new DateField(new SimpleDateFormat("MM-dd-yyyy").parse("01-13-1973")), new TextField("Lin Clooney is Short and lin clooney is Angry"), new ListField<Span>(spanList3) };
List<Span> spanList4 = Arrays.asList(new Span(TestConstants.DESCRIPTION, 6, 11, "angry", "angry", 1));
IField[] fields4 = { new StringField("Mary brown"), new StringField("Lake Forest"), new IntegerField(42), new DoubleField(5.99), new DateField(new SimpleDateFormat("MM-dd-yyyy").parse("01-13-1974")), new TextField("Short angry"), new ListField<Span>(spanList4) };
Tuple tuple1 = new Tuple(schema, fields1);
Tuple tuple2 = new Tuple(schema, fields2);
Tuple tuple3 = new Tuple(schema, fields3);
Tuple tuple4 = new Tuple(schema, fields4);
List<Tuple> expectedResultList = new ArrayList<>();
expectedResultList.add(tuple1);
expectedResultList.add(tuple2);
expectedResultList.add(tuple3);
expectedResultList.add(tuple4);
List<Tuple> results = FuzzyTokenMatcherTestHelper.getQueryResults(PEOPLE_TABLE, query, threshold, attributeNames);
boolean contains = TestUtils.equals(expectedResultList, results);
Assert.assertTrue(contains);
}
use of edu.uci.ics.texera.api.field.DoubleField in project textdb by TextDB.
the class FuzzyTokenMatcherTest method TestFuzzyTokenMatcherWithThresholdVariation.
@Test
public void TestFuzzyTokenMatcherWithThresholdVariation() throws Exception {
String query = "Twelve Angry Men Cafe";
double threshold = 0.25;
ArrayList<String> attributeNames = new ArrayList<>();
attributeNames.add(TestConstants.DESCRIPTION);
Schema schema = new Schema.Builder().add(TestConstants.SCHEMA_PEOPLE).add(RESULTS_ATTR).build();
List<Span> spanList1 = Arrays.asList(new Span(TestConstants.DESCRIPTION, 5, 10, "angry", "Angry", 1));
IField[] fields1 = { new StringField("bruce"), new StringField("john Lee"), new IntegerField(46), new DoubleField(5.50), new DateField(new SimpleDateFormat("MM-dd-yyyy").parse("01-14-1970")), new TextField("Tall Angry"), new ListField<Span>(spanList1) };
List<Span> spanList2 = Arrays.asList(new Span(TestConstants.DESCRIPTION, 6, 11, "angry", "Angry", 1));
IField[] fields2 = { new StringField("brad lie angelina"), new StringField("pitt"), new IntegerField(44), new DoubleField(6.10), new DateField(new SimpleDateFormat("MM-dd-yyyy").parse("01-12-1972")), new TextField("White Angry"), new ListField<Span>(spanList2) };
List<Span> spanList3 = Arrays.asList(new Span(TestConstants.DESCRIPTION, 40, 45, "angry", "Angry", 8));
IField[] fields3 = { new StringField("george lin lin"), new StringField("lin clooney"), new IntegerField(43), new DoubleField(6.06), new DateField(new SimpleDateFormat("MM-dd-yyyy").parse("01-13-1973")), new TextField("Lin Clooney is Short and lin clooney is Angry"), new ListField<Span>(spanList3) };
List<Span> spanList4 = Arrays.asList(new Span(TestConstants.DESCRIPTION, 6, 11, "angry", "angry", 1));
IField[] fields4 = { new StringField("Mary brown"), new StringField("Lake Forest"), new IntegerField(42), new DoubleField(5.99), new DateField(new SimpleDateFormat("MM-dd-yyyy").parse("01-13-1974")), new TextField("Short angry"), new ListField<Span>(spanList4) };
Tuple tuple1 = new Tuple(schema, fields1);
Tuple tuple2 = new Tuple(schema, fields2);
Tuple tuple3 = new Tuple(schema, fields3);
Tuple tuple4 = new Tuple(schema, fields4);
List<Tuple> expectedResultList = new ArrayList<>();
expectedResultList.add(tuple1);
expectedResultList.add(tuple2);
expectedResultList.add(tuple3);
expectedResultList.add(tuple4);
List<Tuple> results = FuzzyTokenMatcherTestHelper.getQueryResults(PEOPLE_TABLE, query, threshold, attributeNames);
boolean contains = TestUtils.equals(expectedResultList, results);
Assert.assertTrue(contains);
}
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