org.springframework.batch.item.excel.mapping.PropertyMatches Maven / Gradle / Ivy
package org.springframework.batch.item.excel.mapping;
import org.springframework.beans.BeanUtils;
import org.springframework.util.ObjectUtils;
import org.springframework.util.StringUtils;
import java.beans.PropertyDescriptor;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
/**
* Helper class for calculating bean property matches, according to.
* Used by BeanWrapperImpl to suggest alternatives for an invalid property name.
*
* Copied and slightly modified from Spring core,
*
* @author Alef Arendsen
* @author Arjen Poutsma
* @author Juergen Hoeller
* @author Dave Syer
*
* @since 1.0
* @see #forProperty(String, Class)
*/
final class PropertyMatches {
//---------------------------------------------------------------------
// Static section
//---------------------------------------------------------------------
/** Default maximum property distance: 2 */
public static final int DEFAULT_MAX_DISTANCE = 2;
/**
* Create PropertyMatches for the given bean property.
* @param propertyName the name of the property to find possible matches for
* @param beanClass the bean class to search for matches
*/
public static PropertyMatches forProperty(String propertyName, Class> beanClass) {
return forProperty(propertyName, beanClass, DEFAULT_MAX_DISTANCE);
}
/**
* Create PropertyMatches for the given bean property.
* @param propertyName the name of the property to find possible matches for
* @param beanClass the bean class to search for matches
* @param maxDistance the maximum property distance allowed for matches
*/
public static PropertyMatches forProperty(String propertyName, Class> beanClass, int maxDistance) {
return new PropertyMatches(propertyName, beanClass, maxDistance);
}
//---------------------------------------------------------------------
// Instance section
//---------------------------------------------------------------------
private final String propertyName;
private final String[] possibleMatches;
/**
* Create a new PropertyMatches instance for the given property.
*/
private PropertyMatches(String propertyName, Class> beanClass, int maxDistance) {
this.propertyName = propertyName;
this.possibleMatches = calculateMatches(BeanUtils.getPropertyDescriptors(beanClass), maxDistance);
}
/**
* Return the calculated possible matches.
*/
public String[] getPossibleMatches() {
return possibleMatches;
}
/**
* Build an error message for the given invalid property name,
* indicating the possible property matches.
*/
public String buildErrorMessage() {
StringBuilder buf = new StringBuilder();
buf.append("Bean property '");
buf.append(this.propertyName);
buf.append("' is not writable or has an invalid setter method. ");
if (ObjectUtils.isEmpty(this.possibleMatches)) {
buf.append("Does the parameter type of the setter match the return type of the getter?");
}
else {
buf.append("Did you mean ");
for (int i = 0; i < this.possibleMatches.length; i++) {
buf.append('\'');
buf.append(this.possibleMatches[i]);
if (i < this.possibleMatches.length - 2) {
buf.append("', ");
}
else if (i == this.possibleMatches.length - 2){
buf.append("', or ");
}
}
buf.append("'?");
}
return buf.toString();
}
/**
* Generate possible property alternatives for the given property and
* class. Internally uses the getStringDistance
method, which
* in turn uses the Levenshtein algorithm to determine the distance between
* two Strings.
* @param propertyDescriptors the JavaBeans property descriptors to search
* @param maxDistance the maximum distance to accept
*/
private String[] calculateMatches(PropertyDescriptor[] propertyDescriptors, int maxDistance) {
List candidates = new ArrayList<>();
for (PropertyDescriptor propertyDescriptor : propertyDescriptors) {
if (propertyDescriptor.getWriteMethod() != null) {
String possibleAlternative = propertyDescriptor.getName();
int distance = calculateStringDistance(this.propertyName, possibleAlternative);
if (distance <= maxDistance) {
candidates.add(possibleAlternative);
}
}
}
Collections.sort(candidates);
return StringUtils.toStringArray(candidates);
}
/**
* Calculate the distance between the given two Strings
* according to the Levenshtein algorithm.
* @param s1 the first String
* @param s2 the second String
* @return the distance value
*/
private int calculateStringDistance(String s1, String s2) {
if (s1.length() == 0) {
return s2.length();
}
if (s2.length() == 0) {
return s1.length();
}
int d[][] = new int[s1.length() + 1][s2.length() + 1];
for (int i = 0; i <= s1.length(); i++) {
d[i][0] = i;
}
for (int j = 0; j <= s2.length(); j++) {
d[0][j] = j;
}
for (int i = 1; i <= s1.length(); i++) {
char s_i = s1.charAt(i - 1);
for (int j = 1; j <= s2.length(); j++) {
int cost;
char t_j = s2.charAt(j - 1);
if (Character.toLowerCase(s_i) == Character.toLowerCase(t_j)) {
cost = 0;
} else {
cost = 1;
}
d[i][j] = Math.min(Math.min(d[i - 1][j] + 1, d[i][j - 1] + 1),
d[i - 1][j - 1] + cost);
}
}
return d[s1.length()][s2.length()];
}
}