org.apache.jena.lang.csv.ReaderRIOTCSV Maven / Gradle / Ivy
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jena-csv is for getting CSVs into a form that is amenable to Jena SPARQL processing, and doing so in a way that is not specific to CSV files. It includes getting the right architecture in place for regular table shaped data, using the core abstraction of PropertyTable.
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/**
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.jena.lang.csv;
import java.io.InputStream;
import java.io.Reader;
import java.util.ArrayList;
import java.util.List;
import org.apache.jena.atlas.csv.CSVParser;
import org.apache.jena.atlas.lib.IRILib ;
import org.apache.jena.atlas.web.ContentType;
import org.apache.jena.datatypes.xsd.XSDDatatype ;
import org.apache.jena.graph.Node ;
import org.apache.jena.graph.NodeFactory ;
import org.apache.jena.riot.ReaderRIOT;
import org.apache.jena.riot.system.*;
import org.apache.jena.sparql.util.Context;
public class ReaderRIOTCSV implements ReaderRIOT {
public static final String CSV_PREFIX = "http://w3c/future-csv-vocab/";
public static final String CSV_ROW = CSV_PREFIX + "row";
private InputStream input = null;
private Reader reader = null;
private String base;
private String filename;
private StreamRDF sink;
private ParserProfile maker;
public ReaderRIOTCSV(ErrorHandler errorHandler) {
this.maker = RiotLib.createParserProfile(errorHandler);
}
@Override
public void read(InputStream in, String baseURI, ContentType ct, StreamRDF output, Context context) {
this.input = in;
this.reader = null;
this.base = baseURI;
this.filename = baseURI;
this.sink = output;
parse();
}
@Override
public void read(Reader reader, String baseURI, ContentType ct, StreamRDF output, Context context) {
this.input = null;
this.reader = reader;
this.base = baseURI;
this.filename = baseURI;
this.sink = output;
parse();
}
public void parse() {
sink.start();
CSVParser parser = (input != null) ? CSVParser.create(input) : CSVParser.create(reader);
ArrayList predicates = new ArrayList<>();
int rowNum = 0;
for (List row : parser) {
if (rowNum == 0) {
for (String column : row) {
String uri = IRIResolver.resolveString(filename) + "#"
+ toSafeLocalname(column);
Node predicate = this.maker.createURI(uri, rowNum, 0);
predicates.add(predicate);
}
} else {
//Node subject = this.profile.createBlankNode(null, -1, -1);
Node subject = calculateSubject(rowNum, filename);
Node predicateRow = this.maker.createURI(CSV_ROW, -1, -1);
Node objectRow = this.maker.createTypedLiteral((rowNum + ""), XSDDatatype.XSDinteger, rowNum, 0);
sink.triple(this.maker.createTriple(subject, predicateRow, objectRow, rowNum, 0));
for (int col = 0; col < row.size() && col