use of edu.uci.ics.texera.api.span.Span in project textdb by TextDB.
the class DataflowUtils method constructPhraseMatchingSpans.
/**
* This function is used to generate the SpanList for phrase matching type in both dictionarymatcher and keywordmatcher.
* @param attributeName
* @param fieldValue
* @param queryKeyword
* @param fieldSpanList
* @param queryTokenListWithStopwords
* @param queryTokenList
* @return
*/
public static List<Span> constructPhraseMatchingSpans(String attributeName, String fieldValue, String queryKeyword, List<Span> fieldSpanList, List<String> queryTokenListWithStopwords, List<String> queryTokenList) {
List<Span> matchingResults = new ArrayList<>();
// Sort current field's span list by token offset for later use
Collections.sort(fieldSpanList, (span1, span2) -> span1.getTokenOffset() - span2.getTokenOffset());
List<Integer> queryTokenOffset = new ArrayList<>();
for (int i = 0; i < queryTokenListWithStopwords.size(); i++) {
if (queryTokenList.contains(queryTokenListWithStopwords.get(i))) {
queryTokenOffset.add(i);
}
}
// maintains position of term being checked in
int iter = 0;
// spanForThisField list
while (iter < fieldSpanList.size()) {
if (iter > fieldSpanList.size() - queryTokenList.size()) {
break;
}
// Verify if span in the spanForThisField correspond to our
// phrase query, ie relative position offsets should be
// similar
// and the value should be same.
// flag to check if a
boolean isMismatchInSpan = false;
// To check all the terms in query are verified
for (int i = 0; i < queryTokenList.size() - 1; i++) {
Span first = fieldSpanList.get(iter + i);
Span second = fieldSpanList.get(iter + i + 1);
if (!(second.getTokenOffset() - first.getTokenOffset() == queryTokenOffset.get(i + 1) - queryTokenOffset.get(i) && first.getValue().equalsIgnoreCase(queryTokenList.get(i)) && second.getValue().equalsIgnoreCase(queryTokenList.get(i + 1)))) {
iter++;
isMismatchInSpan = true;
break;
}
}
if (isMismatchInSpan) {
continue;
}
int combinedSpanStartIndex = fieldSpanList.get(iter).getStart();
int combinedSpanEndIndex = fieldSpanList.get(iter + queryTokenList.size() - 1).getEnd();
Span combinedSpan = new Span(attributeName, combinedSpanStartIndex, combinedSpanEndIndex, queryKeyword, fieldValue.substring(combinedSpanStartIndex, combinedSpanEndIndex));
matchingResults.add(combinedSpan);
iter = iter + queryTokenList.size();
}
return matchingResults;
}
use of edu.uci.ics.texera.api.span.Span in project textdb by TextDB.
the class WordCountOperator method computeWordCount.
private void computeWordCount() throws TexeraException {
Tuple tuple;
HashMap<String, Integer> wordCountMap = new HashMap<>();
while ((tuple = this.inputOperator.getNextTuple()) != null) {
if (addPayload) {
tuple = new Tuple.Builder(tuple).add(SchemaConstants.PAYLOAD_ATTRIBUTE, new ListField<Span>(DataflowUtils.generatePayloadFromTuple(tuple, predicate.getLuceneAnalyzerString()))).build();
}
ListField<Span> payloadField = tuple.getField("payload");
List<Span> payloadSpanList = payloadField.getValue();
for (Span span : payloadSpanList) {
if (span.getAttributeName().equals(predicate.getAttribute())) {
String key = span.getValue().toLowerCase();
wordCountMap.put(key, wordCountMap.get(key) == null ? 1 : wordCountMap.get(key) + 1);
}
}
}
sortedWordCountMap = wordCountMap.entrySet().stream().sorted((e1, e2) -> e2.getValue().compareTo(e1.getValue())).collect(Collectors.toList());
wordCountIterator = sortedWordCountMap.iterator();
}
use of edu.uci.ics.texera.api.span.Span in project textdb by TextDB.
the class DictionaryMatcherTest method testMultipleWordsQueryUsingPhrase.
/**
* Scenario S-10:verifies ITuple returned by DictionaryMatcher and multiple
* word queries using PHRASE OPERATOR
*/
@Test
public void testMultipleWordsQueryUsingPhrase() throws Exception {
ArrayList<String> names = new ArrayList<String>(Arrays.asList("george lin lin"));
Dictionary dictionary = new Dictionary(names);
// create a data tuple first
List<Span> list = new ArrayList<Span>();
Span span = new Span("firstName", 0, 14, "george lin lin", "george lin lin");
list.add(span);
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.PHRASE_INDEXBASED);
boolean contains = TestUtils.equals(expectedResults, returnedResults);
Assert.assertTrue(contains);
}
use of edu.uci.ics.texera.api.span.Span in project textdb by TextDB.
the class DictionaryMatcherTest method testMultipleWordQueryInTextFieldUsingScan2.
@Test
public void testMultipleWordQueryInTextFieldUsingScan2() throws Exception {
ArrayList<String> names = new ArrayList<String>(Arrays.asList("tall fair"));
Dictionary dictionary = new Dictionary(names);
// create a data tuple first
List<Span> list1 = new ArrayList<Span>();
Span span1 = new Span("description", 0, 9, "tall fair", "Tall Fair");
list1.add(span1);
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[] fields2 = { new StringField("christian john wayne"), new StringField("rock bale"), new IntegerField(42), new DoubleField(5.99), new DateField(new SimpleDateFormat("MM-dd-yyyy").parse("01-13-1974")), new TextField("Tall Fair"), new ListField<Span>(list1) };
Tuple tuple2 = new Tuple(new Schema(schemaAttributes), fields2);
List<Tuple> expectedResults = new ArrayList<Tuple>();
expectedResults.add(tuple2);
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.span.Span in project textdb by TextDB.
the class DictionaryMatcherTest method testSingleWordQueryInStringFieldUsingScan.
/**
* Scenario: verifies GetNextTuple of DictionaryMatcher and single word
* queries in String Field using SCANOPERATOR
*/
@Test
public void testSingleWordQueryInStringFieldUsingScan() throws Exception {
ArrayList<String> names = new ArrayList<String>(Arrays.asList("bruce"));
Dictionary dictionary = new Dictionary(names);
// create a data tuple first
List<Span> list = new ArrayList<Span>();
Span span = new Span("firstName", 0, 5, "bruce", "bruce");
list.add(span);
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("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>(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);
}
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