我有一个xml文件，如下所示：
<Verbiage>
The whiskers plots are based on the responses of incarcerated
<Choice>
<Juvenile> juveniles who have committed sexual offenses. </Juvenile>
<Adult> adult sexual offenders. </Adult>
</Choice>
If the respondent is a
<Choice>
<Adult>convicted sexual offender, </Adult>
<Juvenile>juvenile who has sexually offended, </Juvenile>
</Choice>
#his/her_lc# percentile score, which defines #his/her_lc# position
relative to other such offenders, should be taken into account as well as #his/her_lc# T score. Percentile
scores in the top decile (> 90 %ile) of such offenders suggest that the respondent
may be defensive and #his/her_lc# report should be interpreted with this in mind.
</Verbiage>
我正在尝试找到解析xml文件的方法（我一直在使用DOM），搜索#his / her_lc＃并将其替换为＆＃34; her＆＃34;。我尝试过使用FileReader，BufferedReader，string.replaceAll，FileWriter，但那些没有用。
我有办法使用XPath吗？
最终，我想在此xml文件中搜索此字符串，并将其替换为另一个字符串。
我是否必须在字符串周围添加一个标签，我希望它以这种方式解析它？
我试过的代码：
protected void parse() throws ElementNotValidException {
try {
//Parse xml File
File inputXML = new File("template.xml");
DocumentBuilderFactory parser = DocumentBuilderFactory.newInstance(); // new instance of doc builder
DocumentBuilder dParser = parser.newDocumentBuilder(); // calls it
Document doc = dParser.parse(inputXML); // parses file
FileReader reader = new FileReader(inputXML);
String search = "#his/her_lc#";
String newString;
BufferedReader br = new BufferedReader(reader);
while ((newString = br.readLine()) != null){
newString.replaceAll(search, "her");
}
FileWriter writer = new FileWriter(inputXML);
writer.write(newString);
writer.close();
} catch (ParserConfigurationException e) {
e.printStackTrace();
} catch (IOException e) {
e.printStackTrace();
} catch (SAXException e) {
e.printStackTrace();
}
代码我被解决了：
try {
File inputXML = new File("template.xml"); // creates new input file
DocumentBuilderFactory parser = DocumentBuilderFactory.newInstance(); // new instance of doc builder
DocumentBuilder dParser = parser.newDocumentBuilder(); // calls it
Document doc = dParser.parse(inputXML); // parses file
doc.getDocumentElement().normalize();
NodeList pList = doc.getElementsByTagName("Verbiage"); // gets element by tag name and places into list to begin parsing
int gender = 1; // gender has to be taken from the response file, it is hard coded for testing purposes
System.out.println("----------------------------"); // new line
// loops through the list of Verbiage tags
for (int temp = 0; temp < pList.getLength(); temp++) {
Node pNode = pList.item(0); // sets node to temp
if (pNode.getNodeType() == Node.ELEMENT_NODE) { // if the node type = the element node
Element eElement = (Element) pNode;
NodeList pronounList = doc.getElementsByTagName("pronoun"); // gets a list of pronoun element tags
if (gender == 0) { // if the gender is male
int count1 = 0;
while (count1 < pronounList.getLength()) {
if ("#he/she_lc#".equals(pronounList.item(count1).getTextContent())) {
pronounList.item(count1).setTextContent("he");
}
if ("#he/she_caps#".equals(pronounList.item(count1).getTextContent())) {
pronounList.item(count1).setTextContent("He");
}
if ("#his/her_lc#".equals(pronounList.item(count1).getTextContent())) {
pronounList.item(count1).setTextContent("his");
}
if ("#his/her_caps#".equals(pronounList.item(count1).getTextContent())) {
pronounList.item(count1).setTextContent("His");
}
if ("#him/her_lc#".equals(pronounList.item(count1).getTextContent())) {
pronounList.item(count1).setTextContent("him");
}
count1++;
}
pNode.getNextSibling();
} else if (gender == 1) { // female
int count = 0;
while (count < pronounList.getLength()) {
if ("#he/she_lc#".equals(pronounList.item(count).getTextContent())) {
pronounList.item(count).setTextContent("she");
}
if ("#he/she_caps3".equals(pronounList.item(count).getTextContent())) {
pronounList.item(count).setTextContent("She");
}
if ("#his/her_lc#".equals(pronounList.item(count).getTextContent())) {
pronounList.item(count).setTextContent("her");
}
if ("#his/her_caps#".equals(pronounList.item(count).getTextContent())) {
pronounList.item(count).setTextContent("Her");
}
if ("#him/her_lc#".equals(pronounList.item(count).getTextContent())) {
pronounList.item(count).setTextContent("her");
}
count++;
}
pNode.getNextSibling();
}
}
}
// write the content to file
TransformerFactory transformerFactory = TransformerFactory.newInstance();
Transformer transformer = transformerFactory.newTransformer();
DOMSource source = new DOMSource(doc);
System.out.println("-----------Modified File-----------");
StreamResult consoleResult = new StreamResult(System.out);
transformer.transform(source, new StreamResult(new FileOutputStream("template.xml"))); // writes changes to file
} catch (Exception e) {
e.printStackTrace();
}
}
如果我能弄清楚如何将标签代词与此代码所在的pronounParser相关联，我认为这段代码会有效。
答案 0 :(得分：2)
我使用了这个例子和你的template.xml，我认为它可行。
public static void main(String[] args) {
File inputXML = new File("template.xml");
BufferedReader br = null;
String newString = "";
StringBuilder strTotale = new StringBuilder();
try {
FileReader reader = new FileReader(inputXML);
String search = "#his/her_lc#";
br = new BufferedReader(reader);
while ((newString = br.readLine()) != null){
newString = newString.replaceAll(search, "her");
strTotale.append(newString);
}
} catch ( IOException e) {
// TODO Auto-generated catch block
e.printStackTrace();
} // calls it
finally
{
try {
br.close();
} catch (IOException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
}
System.out.println(strTotale.toString());
}
首先，你必须重新分配replaceAll的结果：
newString = newString.replaceAll(search, "her");
其次我使用StringBuffer收集所有行。
我希望这有帮助。
答案 1 :(得分：0)
由于字符串是不可变的，你不能修改它们，使用 字符串生成器/字符串缓冲区 而不是字符串。
FileReader reader = new FileReader(inputXML);
String search = "#his/her_lc#";
String newString;
StringBuffer str;
BufferedReader br = new BufferedReader(reader);
while ((newString = br.readLine()) != null){
str.append(newString.replaceAll(search, "her"));
}
FileWriter writer = new FileWriter(inputXML);
writer.write(str);
writer.close();