一个电话本中联系人名字搜索高亮的实现
一个电话本中联系人名字搜索高亮的实现
需求：实现电话本名字搜索功能的高亮实现，其中搜索支持中文、简拼、全拼搜索，对搜索匹配到的名字部分高亮显示。
例如：
名字：张向东
全拼：zhangxiangdong
简拼：zxd
搜索匹配优先规则：中文（直接匹配）、简拼匹配、全拼匹配
关键在全拼匹配上面，比方用户输入gd，则匹配向东两个字，同xiangdong的匹配项
搜索功能通过数据库的搜索匹配实现，也就是输入是搜索的输入字符串mInputStr和搜索的名字结果列表List
SearchHighLightUtil的构造函数
上代码：
第一版：PinyinUtil为使用开源的汉字转拼音的Jar包
import java.util.HashMap;
import java.util.List;
import java.util.Map;
public class SearchHighLightUtil {
/*
* 输入的搜索字符串
*/
private String mInputStr;
/*
* 输入的搜索结果
*/
private List mListResult;
/*
* 用名字作为关键字，得到匹配名字的起始位置和结束位置
*/
private Map mAnalyzeResult;
/*
* 构造方法
*/
public SearchHighLightUtil(String inputStr, List listResult){
this.mInputStr = inputStr;
this.mListResult = listResult;
/*
分析输入的字符串和搜索匹配的结果，将分析的结果存储在mAnalyzeResult中，用名字作为关键字，得到匹配名字的起始位置和结束位置
*/
this.analyze();
}
public Map getAnalyzeResult(){
return mAnalyzeResult;
}
private void analyze(){
if (mAnalyzeResult == null){
mAnalyzeResult = new HashMap();
}
if (mListResult == null || mInputStr == null){
return;
}
for(int i=0; i 1){
if (jpNameArr[0].contains(mInputStr)){
jpName = jpNameArr[0];
}else if (jpNameArr[1].contains(mInputStr)){
jpName = jpNameArr[1];
}
}
if (name.contains(mInputStr)){
int start = name.indexOf(mInputStr);
int end = start + mInputStr.length() - 1;
mAnalyzeResult.put(name, new SearchKeyPosition(start, end));
}else if (jpName.contains(mInputStr)){
int start = jpName.indexOf(mInputStr);
int end = start + mInputStr.length() - 1;
mAnalyzeResult.put(name, new SearchKeyPosition(start, end));
}else if (qpName.contains(mInputStr)){
int start = qpName.indexOf(mInputStr);
if (start == -1){
continue;
}
int end = mInputStr.length();
int nameLength = jpName.length() > name.length()?name.length():jpName.length();
switch(nameLength){
case 2:
{
String firstPinYin = PinyinUtil.getFullSpell(name.substring(0, 1));
int col = (start + mInputStr.length());
if (start <= (firstPinYin.length() - 1)){
if (col <= firstPinYin.length()){
start = 0;
end = 0;
}else{
start = 0;
end = 1;
}
}else {
start = 1;
end = 1;
}
break;
}
case 3:
{
String firstPinYin = PinyinUtil.getFullSpell(name.substring(0, 1));
String sencondPinYin = PinyinUtil.getFullSpell(name.substring(1,2));
int col = (start + mInputStr.length());
if (start <= (firstPinYin.length() - 1)){
if (col <= firstPinYin.length()){
start = 0;
end = 0;
}else if (col <= (firstPinYin.length() + sencondPinYin.length())){
start = 0;
end = 1;
}else {
start = 0;
end = 2;
}
}else if (start <= (firstPinYin.length() + sencondPinYin.length()- 1)){
if (col <= (firstPinYin.length() + sencondPinYin.length())){
start = 1;
end = 1;
} else {
start = 1;
end = 2;
}
}else{
start = 2;
end = 2;
}
}
break;
case 4:
{
String firstPinYin = PinyinUtil.getFullSpell(name.substring(0, 1));
String sencondPinYin = PinyinUtil.getFullSpell(name.substring(1,2));
String thirdPinYin = PinyinUtil.getFullSpell(name.substring(2,3));
int col = (start + mInputStr.length());
if (start <= (firstPinYin.length() - 1)){
if (col <= firstPinYin.length()){
start = 0;
end = 0;
}else if (col <= (firstPinYin.length() + sencondPinYin.length())){
start = 0;
end = 1;
}else if (col <= (firstPinYin.length() + sencondPinYin.length() + thirdPinYin.length())){
start = 0;
end = 2;
}else{
start = 0;
end = 3;
}
}else if (start <= (firstPinYin.length() + sencondPinYin.length()- 1)){
if (col <= (firstPinYin.length() + sencondPinYin.length())){
start = 1;
end = 1;
} else if (col <= (firstPinYin.length() + sencondPinYin.length() + thirdPinYin.length())){
start = 1;
end = 2;
}else{
start = 1;
end = 3;
}
}else if (start <= (firstPinYin.length() + sencondPinYin.length() + thirdPinYin.length()- 1)){
if (col <= (firstPinYin.length() + sencondPinYin.length() + thirdPinYin.length())){
start = 2;
end = 2;
} else {
start = 2;
end = 3;
}
}else{
start = 3;
end = 3;
}
}
break;
case 5:
{
String firstPinYin = PinyinUtil.getFullSpell(name.substring(0, 1));
String sencondPinYin = PinyinUtil.getFullSpell(name.substring(1,2));
String thirdPinYin = PinyinUtil.getFullSpell(name.substring(2,3));
String fourthPinYin = PinyinUtil.getFullSpell(name.substring(3,4));
int col = (start + mInputStr.length());
if (start < (firstPinYin.length() - 1)){
if (col <= firstPinYin.length()){
start = 0;
end = 0;
}else if (col <= (firstPinYin.length() + sencondPinYin.length())){
start = 0;
end = 1;
}else if (col <= (firstPinYin.length() + sencondPinYin.length() + thirdPinYin.length())){
start = 0;
end = 2;
}else if (col <= (firstPinYin.length() + sencondPinYin.length() + thirdPinYin.length() + fourthPinYin.length())){
start = 0;
end = 3;
}else{
start = 0;
end = 4;
}
}else if (start < (firstPinYin.length() + sencondPinYin.length()- 1)){
if (col <= (firstPinYin.length() + sencondPinYin.length())){
start = 1;
end = 1;
} else if (col <= (firstPinYin.length() + sencondPinYin.length() + thirdPinYin.length())){
start = 1;
end = 2;
}else if (col <= (firstPinYin.length() + sencondPinYin.length() + thirdPinYin.length() + fourthPinYin.length())){
start = 1;
end = 3;
}else{
start = 1;
end = 4;
}
}else if (start < (firstPinYin.length() + sencondPinYin.length() + thirdPinYin.length()- 1)){
if (col <= (firstPinYin.length() + sencondPinYin.length() + thirdPinYin.length())){
start = 2;
end = 2;
}else if (col <= (firstPinYin.length() + sencondPinYin.length() + thirdPinYin.length() + fourthPinYin.length())){
start = 2;
end = 3;
} else {
start = 2;
end = 4;
}
}else if (start < (firstPinYin.length() + sencondPinYin.length() + thirdPinYin.length() + + fourthPinYin.length()- 1)){
if (col <= (firstPinYin.length() + sencondPinYin.length() + thirdPinYin.length() + fourthPinYin.length())){
start = 3;
end = 3;
} else {
start = 3;
end = 4;
}
}else {
start = 4;
end = 4;
}
}
break;
default:
start = -1;
end = -1;
break;
}
mAnalyzeResult.put(name, new SearchKeyPosition(start, end));
}
}
}
public static class User{
private String name;
private String jpName;
private String qpName;
public String getName(){
return name;
}
public String getJPName(){
return jpName;
}
public String getQPName(){
return qpName;
}
}
public static class SearchKeyPosition{
public int start = -1;
public int end = -1;
public SearchKeyPosition(int start, int end){
this.start = start;
this.end = end;
}
}
}
得到搜索的字符串在名字中匹配的开始位置和结束位置后，就可以设置高亮了：
/**
* 关键字高亮变色
*
* @param color
* 变化的色值
* @param text
* 文字
* @param keyword
* 文字中的关键字
* @return
*/
public static SpannableString matcherSearchTitle(int color, String text,
String keyword) {
SpannableString s = new SpannableString(text);
Pattern p = Pattern.compile(keyword);
Matcher m = p.matcher(s);
while (m.find()) {
int start = m.start();
int end = m.end();
s.setSpan(new ForegroundColorSpan(color), start, end,
Spanned.SPAN_EXCLUSIVE_EXCLUSIVE);
}
return s;
}第二版：
主要对于全拼匹配的部分做了一个优化，第一版本对有几个汉字有约束，并且最大支持5个汉字，扩展性不好，第二版本改进了这个问题，用循环的方式实现；这样的改进也算是对思路的一个梳理。
import java.util.HashMap;
import java.util.List;
import java.util.Map;
public class SearchHighLightUtil {
/*
* 输入的搜索字符串
*/
private String mInputStr;
/*
* 输入的搜索结果
*/
private List mListResult;
/*
* 用名字作为关键字，得到匹配名字的起始位置和结束位置
*/
private Map mAnalyzeResult;
/*
* 构造方法
*/
public SearchHighLightUtil(String inputStr, List listResult){
this.mInputStr = inputStr;
this.mListResult = listResult;
/*
分析输入的字符串和搜索匹配的结果，将分析的结果存储在mAnalyzeResult中，用名字作为关键字，得到匹配名字的起始位置和结束位置
*/
this.analyze();
}
public Map getAnalyzeResult(){
return mAnalyzeResult;
}
private void analyze(){
if (mAnalyzeResult == null){
mAnalyzeResult = new HashMap();
}
if (mListResult == null || mInputStr == null){
return;
}
for(int i=0; i 1){
if (jpNameArr[0].contains(mInputStr)){
jpName = jpNameArr[0];
}else if (jpNameArr[1].contains(mInputStr)){
jpName = jpNameArr[1];
}
}
if (name.contains(mInputStr)){
int start = name.indexOf(mInputStr);
int end = start + mInputStr.length() - 1;
mAnalyzeResult.put(name, new SearchKeyPosition(start, end));
}else if (jpName.contains(mInputStr)){
int start = jpName.indexOf(mInputStr);
int end = start + mInputStr.length() - 1;
mAnalyzeResult.put(name, new SearchKeyPosition(start, end));
}else if (qpName.contains(mInputStr)){
int start = qpName.indexOf(inputStr);
if (start == -1){
continue;
}
int end = -1;
int lastLength = 0;
int col = (start + inputStr.length());
for (int j = 0; j