com.google.refine.operations.cell.MultiValuedCellSplitOperation Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of main Show documentation
Show all versions of main Show documentation
OpenRefine is a free, open source power tool for working with messy data and improving it
/*
Copyright 2010, 2023 Google Inc. & OpenRefine contributors
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above
copyright notice, this list of conditions and the following disclaimer
in the documentation and/or other materials provided with the
distribution.
* Neither the name of Google Inc. nor the names of its
contributors may be used to endorse or promote products derived from
this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
package com.google.refine.operations.cell;
import java.util.ArrayList;
import java.util.List;
import java.util.regex.Pattern;
import com.fasterxml.jackson.annotation.JsonCreator;
import com.fasterxml.jackson.annotation.JsonInclude;
import com.fasterxml.jackson.annotation.JsonInclude.Include;
import com.fasterxml.jackson.annotation.JsonProperty;
import org.apache.commons.lang3.StringUtils;
import com.google.refine.history.HistoryEntry;
import com.google.refine.model.AbstractOperation;
import com.google.refine.model.Cell;
import com.google.refine.model.Column;
import com.google.refine.model.Project;
import com.google.refine.model.Row;
import com.google.refine.model.changes.MassRowChange;
import com.google.refine.operations.OperationDescription;
public class MultiValuedCellSplitOperation extends AbstractOperation {
final protected String _columnName;
final protected String _keyColumnName;
final protected String _mode;
final protected String _separator;
final protected Boolean _regex;
private final Pattern _pattern;
final protected int[] _fieldLengths;
@JsonCreator
public static MultiValuedCellSplitOperation deserialize(
@JsonProperty("columnName") String columnName,
@JsonProperty("keyColumnName") String keyColumnName,
@JsonProperty("mode") String mode,
@JsonProperty("separator") String separator,
@JsonProperty("regex") boolean regex,
@JsonProperty("fieldLengths") int[] fieldLengths) {
if ("separator".equals(mode)) {
return new MultiValuedCellSplitOperation(
columnName,
keyColumnName,
separator,
regex);
} else {
return new MultiValuedCellSplitOperation(
columnName,
keyColumnName,
fieldLengths);
}
}
public MultiValuedCellSplitOperation(
String columnName,
String keyColumnName,
String separator,
boolean regex) {
_columnName = columnName;
_keyColumnName = keyColumnName;
_separator = separator;
_mode = "separator";
_regex = regex;
if (_regex) {
_pattern = Pattern.compile(_separator, Pattern.UNICODE_CHARACTER_CLASS);
} else {
_pattern = null;
}
_fieldLengths = null;
}
public MultiValuedCellSplitOperation(
String columnName,
String keyColumnName,
int[] fieldLengths) {
_columnName = columnName;
_keyColumnName = keyColumnName;
_mode = "lengths";
_separator = null;
_regex = null;
_pattern = null;
// Make sure all of our lengths are non-negative
for (int i = 0; i < fieldLengths.length; i++) {
if (fieldLengths[i] < 0) {
fieldLengths[i] = 0;
}
}
_fieldLengths = fieldLengths;
}
@JsonProperty("columnName")
public String getColumnName() {
return _columnName;
}
@JsonProperty("keyColumnName")
public String getKeyColumnName() {
return _keyColumnName;
}
@JsonProperty("mode")
public String getMode() {
return _mode;
}
@JsonProperty("separator")
@JsonInclude(Include.NON_NULL)
public String getSeparator() {
return _separator;
}
@JsonProperty("regex")
@JsonInclude(Include.NON_NULL)
public Boolean getRegex() {
return _regex;
}
@JsonProperty("fieldLengths")
@JsonInclude(Include.NON_NULL)
public int[] getFieldLengths() {
return _fieldLengths;
}
@Override
protected String getBriefDescription(Project project) {
return OperationDescription.cell_multivalued_cell_split_brief(_columnName);
}
@Override
protected HistoryEntry createHistoryEntry(Project project, long historyEntryID) throws Exception {
Column column = project.columnModel.getColumnByName(_columnName);
if (column == null) {
throw new Exception("No column named " + _columnName);
}
int cellIndex = column.getCellIndex();
Column keyColumn = project.columnModel.getColumnByName(_keyColumnName);
if (keyColumn == null) {
throw new Exception("No key column named " + _keyColumnName);
}
int keyCellIndex = keyColumn.getCellIndex();
List newRows = new ArrayList();
int oldRowCount = project.rows.size();
for (int r = 0; r < oldRowCount; r++) {
Row oldRow = project.rows.get(r);
if (oldRow.isCellBlank(cellIndex)) {
newRows.add(oldRow.dup());
continue;
}
Object value = oldRow.getCellValue(cellIndex);
String s = value instanceof String ? ((String) value) : value.toString();
String[] values;
if ("lengths".equals(_mode)) {
if (_fieldLengths.length > 0 && _fieldLengths[0] > 0) {
values = new String[_fieldLengths.length];
int from = 0;
int end = s.length();
for (int i = 0; i < _fieldLengths.length; i++) {
int to = Math.min(end, from + _fieldLengths[i]);
values[i] = s.substring(from, to);
from = to;
}
} else {
values = new String[] { s };
}
} else if (_regex) {
values = _pattern.split(s);
} else {
values = StringUtils.splitByWholeSeparatorPreserveAllTokens(s, _separator);
}
// Split didn't change anything. Just copy the row
if (values.length < 2) {
newRows.add(oldRow.dup());
continue;
}
// First newly split value goes into the original cell in the existing row
Row firstNewRow = oldRow.dup();
firstNewRow.setCell(cellIndex, new Cell(values[0], null));
newRows.add(firstNewRow);
// For remaining values, use an empty cell, if one exists in the row, otherwise allocate a new row
int r2 = r + 1;
for (int v = 1; v < values.length; v++) {
Cell newCell = new Cell(values[v], null);
if (r2 < project.rows.size()) {
Row oldRow2 = project.rows.get(r2);
if (oldRow2.isCellBlank(cellIndex) &&
// key cell not blank means we are on next record
oldRow2.isCellBlank(keyCellIndex)) {
Row newRow = oldRow2.dup();
newRow.setCell(cellIndex, newCell);
newRows.add(newRow);
r2++;
continue;
}
}
// We need a new (empty) row
Row newRow = new Row(cellIndex + 1);
newRow.setCell(cellIndex, newCell);
newRows.add(newRow);
}
r = r2 - 1; // r will be incremented by the for loop anyway
}
return new HistoryEntry(
historyEntryID,
project,
getBriefDescription(null),
this,
new MassRowChange(newRows));
}
}