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package org.heigit.ohsome.ohsomeapi.inputprocessing;

import java.math.BigDecimal;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import java.util.Locale;
import org.apache.commons.text.similarity.FuzzyScore;

/**
 * Holds methods for computing the fuzzy string similarity between the query parameter and the
 * available parameter of the given resource.
 */
public class StringSimilarity {
  private StringSimilarity() {
    throw new IllegalStateException("Utility class");
  }

  /**
   * Computes a string similarity (Fuzzy Score algorithm) between the requested parameter and the
   * possible parameters of the resource. It returns a String with a suggestion of possible
   * parameters with a fuzzy score higher than 4. Comparisons with fuzzy score lower than 5 are not
   * considered. If all comparisons give a fuzzy score lower than 5, it returns only a message of
   * "unknown parameter" without suggestions.
   * 
   * 

* For example: * *

*

    *
  • Given the false parameter "metadata" for the resource "groupByTag", it returns the * suggestions "showMetadata" and "timeout", which are the only two matches with a score higher * than 4.
  • *
  • Given the false parameter "groupByKe" for the resource "groupByKey", it returns the * suggestion "groupByKeys", which is the only parameter with a matching score higher than 4 valid * for this resource. Since the available parameter "groupByKey" is not valid for this resource, * it will not be taken in consideration as suggestion parameter for this resource.
  • *
  • Given the false parameter "qwerty" for the resource "elementsFullHistory/geometry", since * the matching score is lower than 5 in every match with the possible parameters, it returns only * a message of "unknown parameter" without suggestions.
  • *
* *

* Warning: Given typical mistyped parameters like "froupByKeys" or "fgroupByKeys" for the * resource "groupByKey", it returns only a message of "unknown parameter" without suggestions * despite the similarity to the right available parameter. This is because the Fuzzy Score * algorithm matches the chars of the two strings from left to right. * * @return a String containing up to two suggested parameter if available. * @param parameter - request parameter to compare * @param possibleParameters - list of possible parameters */ public static String findSimilarParameters(String parameter, List possibleParameters) { ArrayList scoreHigherThanFour = new ArrayList<>(); int i = 0; final String unknownParam = "Unknown parameter '"; for (String possibleParameter : possibleParameters) { double scoreDouble = new FuzzyScore(Locale.getDefault()).fuzzyScore(possibleParameter, parameter); BigDecimal fuzzyScore = BigDecimal.valueOf(scoreDouble); if (fuzzyScore.doubleValue() > 4) { FuzzyScoreObject object = new FuzzyScoreObject(fuzzyScore, possibleParameter); scoreHigherThanFour.add(i, object); i++; } } if (scoreHigherThanFour.isEmpty()) { return unknownParam + parameter + "' for this resource."; } Collections.sort(scoreHigherThanFour, FuzzyScoreObject.sortByScore); if (scoreHigherThanFour.size() == 1) { String uniqueParameter = scoreHigherThanFour.get(0).getPossibleParameter(); return unknownParam + parameter + "' for this resource. Did you mean '" + uniqueParameter + "'?"; } else { ArrayList possibleParams = sortParamsByLength(parameter, scoreHigherThanFour); return unknownParam + parameter + "' for this resource. Did you mean '" + possibleParams.get(0).getPossibleParameter() + "' or '" + possibleParams.get(1).getPossibleParameter() + "'?"; } } /** * Sorts the suggested parameters, which are already sorted by the fuzzy matching score, by the * difference in length between the requested parameter and the suggested parameters. * * @return an ArrayList of suggested parameters sorted by the difference in length between the * requested parameter and the suggested parameters. * @param parameter - request parameter * @param possibleParams - list of possible parameters */ private static ArrayList sortParamsByLength(String parameter, ArrayList possibleParams) { ArrayList sortedParams = new ArrayList<>(); int diffLastIndex; int diffSecondToLastIndex; int lastIndex = possibleParams.size() - 1; if (possibleParams.get(lastIndex).getFuzzyScore() .compareTo(possibleParams.get(lastIndex - 1).getFuzzyScore()) == 0) { diffLastIndex = parameter.length() - possibleParams.get(lastIndex).getPossibleParameter().length(); diffSecondToLastIndex = parameter.length() - possibleParams.get(lastIndex - 1).getPossibleParameter().length(); if (diffLastIndex < 0) { diffLastIndex *= -1; } if (diffSecondToLastIndex < 0) { diffSecondToLastIndex *= -1; } if (diffLastIndex <= diffSecondToLastIndex) { sortedParams.add(possibleParams.get(lastIndex)); sortedParams.add(possibleParams.get(lastIndex - 1)); } else { sortedParams.add(possibleParams.get(lastIndex - 1)); sortedParams.add(possibleParams.get(lastIndex)); } return sortedParams; } else { sortedParams.add(possibleParams.get(lastIndex)); sortedParams.add(possibleParams.get(lastIndex - 1)); return sortedParams; } } }





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