| /* |
| * 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))); |
| } |
| } |
| } |