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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.solr.client.solrj.io.eval;
import java.io.IOException;
import java.util.List;
import java.util.ArrayList;
import java.util.Locale;
import java.util.stream.Collectors;
import java.util.stream.IntStream;
import org.apache.solr.client.solrj.io.stream.expr.StreamExpression;
import org.apache.solr.client.solrj.io.stream.expr.StreamFactory;
public class TimeDifferencingEvaluator extends RecursiveObjectEvaluator implements ManyValueWorker{
protected static final long serialVersionUID = 1L;
public TimeDifferencingEvaluator(StreamExpression expression, StreamFactory factory) throws IOException {
super(expression, factory);
if (!(1 == containedEvaluators.size() || containedEvaluators.size() == 2)){
throw new IOException(String.format(Locale.ROOT,"Invalid expression %s - expecting one or two values but found %d",expression, containedEvaluators.size()));
}
}
@Override
public Object doWork(Object... values) throws IOException {
if (!(1 == values.length || values.length == 2)) {
throw new IOException(String.format(Locale.ROOT, "%s(...) only works with 1 or 2 values but %d were provided", constructingFactory.getFunctionName(getClass()), values.length));
}
if (values[0] instanceof List) {
@SuppressWarnings({"unchecked"})
List<Number> timeseriesValues = (List<Number>) values[0];
Number lagValue = 1;
if (1 == values.length) {
if (!(timeseriesValues instanceof List<?>)) {
throw new IOException(String.format(Locale.ROOT, "Invalid expression %s - found type %s for the first value, expecting a List", toExpression(constructingFactory), values[0].getClass().getSimpleName()));
}
if (!(timeseriesValues.size() > 1)) {
throw new IOException(String.format(Locale.ROOT, "Invalid expression %s - found list size of %s for the first value, expecting a List of size > 0.", toExpression(constructingFactory), timeseriesValues.size()));
}
}
if (2 == values.length) {
lagValue = (Number) values[1];
if (!(lagValue instanceof Number)) {
throw new IOException(String.format(Locale.ROOT, "Invalid expression %s - found type %s for the second value, expecting a Number", toExpression(constructingFactory), values[1].getClass().getSimpleName()));
}
if (lagValue.intValue() > timeseriesValues.size()) {
throw new IOException(String.format(Locale.ROOT, "Invalid expression %s - found a lag size of %s for the second value, the first value has a List size of %s, expecting a lag value less than the List size", toExpression(constructingFactory), lagValue.intValue(), timeseriesValues.size()));
}
}
final int lag = lagValue.intValue();
return IntStream.range(lag, timeseriesValues.size())
.mapToObj(n -> (timeseriesValues.get(n).doubleValue() - timeseriesValues.get(n - lag).doubleValue()))
.collect(Collectors.toList());
} else if(values[0] instanceof Matrix) {
//Diff each row of the matrix
Matrix matrix = (Matrix)values[0];
double[][] data = matrix.getData();
double[][] diffedData = new double[data.length][];
Number lagValue = 1;
if (2 == values.length) {
lagValue = (Number) values[1];
if (!(lagValue instanceof Number)) {
throw new IOException(String.format(Locale.ROOT, "Invalid expression %s - found type %s for the second value, expecting a Number", toExpression(constructingFactory), values[1].getClass().getSimpleName()));
}
}
int lag = lagValue.intValue();
for(int i=0; i<data.length; i++) {
double[] row = data[i];
List<Double> timeseriesValues = new ArrayList<>(row.length);
for(double d : row) {
timeseriesValues.add(d);
}
List<Number> diffedList = IntStream.range(lag, timeseriesValues.size())
.mapToObj(n -> (timeseriesValues.get(n).doubleValue() - timeseriesValues.get(n - lag).doubleValue()))
.collect(Collectors.toList());
double[] diffedRow = new double[diffedList.size()];
for(int r=0; r<diffedList.size(); r++) {
diffedRow[r] = diffedList.get(r).doubleValue();
}
diffedData[i] = diffedRow;
}
Matrix diffedMatrix = new Matrix(diffedData);
diffedMatrix.setRowLabels(matrix.getRowLabels());
List<String> columns = matrix.getColumnLabels();
if(columns != null) {
List<String> newColumns = new ArrayList<>(columns.size() - lag);
for (int i = lag; i < columns.size(); i++) {
newColumns.add(columns.get(i));
}
diffedMatrix.setColumnLabels(newColumns);
}
return diffedMatrix;
} else {
throw new IOException(String.format(Locale.ROOT, "Invalid expression %s - first parameter must be list of matrix", toExpression(constructingFactory)));
}
}
}