Examples with AttributeType edu.uci.ics.texera.api.schema.AttributeType used on opensource projects

Example 1 with AttributeType

use of edu.uci.ics.texera.api.schema.AttributeType in project textdb by TextDB.

the class NltkSentimentOperator method open.

@Override
public void open() throws TexeraException {
    if (cursor != CLOSED) {
        return;
    }
    if (inputOperator == null) {
        throw new DataflowException(ErrorMessages.INPUT_OPERATOR_NOT_SPECIFIED);
    }
    inputOperator.open();
    Schema inputSchema = inputOperator.getOutputSchema();
    // check if the input schema is presented
    if (!inputSchema.containsAttribute(predicate.getInputAttributeName())) {
        throw new TexeraException(String.format("input attribute %s is not in the input schema %s", predicate.getInputAttributeName(), inputSchema.getAttributeNames()));
    }
    // check if the attribute type is valid
    AttributeType inputAttributeType = inputSchema.getAttribute(predicate.getInputAttributeName()).getType();
    boolean isValidType = inputAttributeType.equals(AttributeType.STRING) || inputAttributeType.equals(AttributeType.TEXT);
    if (!isValidType) {
        throw new TexeraException(String.format("input attribute %s must have type String or Text, its actual type is %s", predicate.getInputAttributeName(), inputAttributeType));
    }
    // generate output schema by transforming the input schema
    outputSchema = transformSchema(inputOperator.getOutputSchema());
    cursor = OPENED;
}

Example 2 with AttributeType

use of edu.uci.ics.texera.api.schema.AttributeType in project textdb by TextDB.

the class DataReader method documentToFields.

private ArrayList<IField> documentToFields(Document luceneDocument) throws ParseException {
    ArrayList<IField> fields = new ArrayList<>();
    for (Attribute attr : inputSchema.getAttributes()) {
        AttributeType attributeType = attr.getType();
        String fieldValue = luceneDocument.get(attr.getName());
        fields.add(StorageUtils.getField(attributeType, fieldValue));
    }
    return fields;
}

Example 3 with AttributeType

use of edu.uci.ics.texera.api.schema.AttributeType in project textdb by TextDB.

the class DataReader method buildPayloadFromTermVector.

private ArrayList<Span> buildPayloadFromTermVector(List<IField> fields, int docID) throws IOException {
    ArrayList<Span> payloadSpanList = new ArrayList<>();
    for (Attribute attr : inputSchema.getAttributes()) {
        String attributeName = attr.getName();
        AttributeType attributeType = attr.getType();
        // payload.
        if (attributeType != AttributeType.TEXT) {
            continue;
        }
        String fieldValue = fields.get(inputSchema.getIndex(attributeName)).getValue().toString();
        Terms termVector = luceneIndexReader.getTermVector(docID, attributeName);
        if (termVector == null) {
            continue;
        }
        TermsEnum termsEnum = termVector.iterator();
        PostingsEnum termPostings = null;
        // go through document terms
        while ((termsEnum.next()) != null) {
            termPostings = termsEnum.postings(termPostings, PostingsEnum.ALL);
            if (termPostings.nextDoc() == DocIdSetIterator.NO_MORE_DOCS) {
                continue;
            }
            // for each term, go through its postings
            for (int i = 0; i < termPostings.freq(); i++) {
                // nextPosition needs to be called first
                int tokenPosition = termPostings.nextPosition();
                int charStart = termPostings.startOffset();
                int charEnd = termPostings.endOffset();
                String analyzedTermStr = termsEnum.term().utf8ToString();
                String originalTermStr = fieldValue.substring(charStart, charEnd);
                Span span = new Span(attributeName, charStart, charEnd, analyzedTermStr, originalTermStr, tokenPosition);
                payloadSpanList.add(span);
            }
        }
    }
    return payloadSpanList;
}

Example 4 with AttributeType

use of edu.uci.ics.texera.api.schema.AttributeType in project textdb by TextDB.

the class TupleJsonDeserializer method deserialize.

@Override
public Tuple deserialize(JsonParser p, DeserializationContext ctxt) throws IOException, JsonProcessingException {
    JsonNode node = p.getCodec().readTree(p);
    JsonNode schemaNode = node.get(JsonConstants.SCHEMA);
    JsonNode fieldsNode = node.get(JsonConstants.FIELDS);
    Schema schema = new ObjectMapper().treeToValue(schemaNode, Schema.class);
    ArrayList<IField> fields = new ArrayList<>();
    for (int i = 0; i < schema.getAttributes().size(); i++) {
        AttributeType attributeType = schema.getAttributes().get(i).getType();
        JsonNode fieldNode = fieldsNode.get(i);
        IField field = new ObjectMapper().treeToValue(fieldNode, attributeType.getFieldClass());
        fields.add(field);
    }
    return new Tuple(schema, fields);
}

Example 5 with AttributeType

use of edu.uci.ics.texera.api.schema.AttributeType in project textdb by TextDB.

the class FuzzyTokenMatcher method processOneInputTuple.

@Override
public Tuple processOneInputTuple(Tuple inputTuple) throws TexeraException {
    // add payload if needed before passing it to the matching functions
    if (addPayload) {
        Tuple.Builder tupleBuilderPayload = new Tuple.Builder(inputTuple);
        tupleBuilderPayload.add(SchemaConstants.PAYLOAD_ATTRIBUTE, new ListField<Span>(DataflowUtils.generatePayloadFromTuple(inputTuple, predicate.getLuceneAnalyzerStr())));
        inputTuple = tupleBuilderPayload.build();
    }
    ListField<Span> payloadField = inputTuple.getField(SchemaConstants.PAYLOAD);
    List<Span> relevantSpans = filterRelevantSpans(payloadField.getValue());
    List<Span> matchingResults = new ArrayList<>();
    /*
         * The source operator returns spans even for those fields which did not
         * satisfy the threshold criterion. So if two attributes A,B have 10 and
         * 5 matching tokens, and we set threshold to 10, the number of spans
         * returned is 15. So we need to filter those 5 spans for attribute B.
         */
    for (String attributeName : this.predicate.getAttributeNames()) {
        AttributeType attributeType = this.inputSchema.getAttribute(attributeName).getType();
        // types other than TEXT and STRING: throw Exception for now
        if (attributeType != AttributeType.TEXT && attributeType != AttributeType.STRING) {
            throw new DataflowException("FuzzyTokenMatcher: Fields other than TEXT or STRING are not supported");
        }
        List<Span> fieldSpans = relevantSpans.stream().filter(span -> span.getAttributeName().equals(attributeName)).filter(span -> predicate.getQueryTokens().contains(span.getKey())).collect(Collectors.toList());
        if (fieldSpans.size() >= predicate.getThreshold()) {
            matchingResults.addAll(fieldSpans);
        }
    }
    if (matchingResults.isEmpty()) {
        return null;
    }
    Tuple.Builder tupleBuilder = new Tuple.Builder(inputTuple);
    if (addResultAttribute) {
        tupleBuilder.add(predicate.getSpanListName(), AttributeType.LIST, new ListField<Span>(matchingResults));
    }
    return tupleBuilder.build();
}