request.setCharacterEncoding("UTF-8");
response.setCharacterEncoding("UTF-8");
/** 读取接收到的xml消息 */
StringBuffer sb = new StringBuffer();
InputStream is = request.getInputStream();
InputStreamReader isr = new InputStreamReader(is, "UTF-8");
BufferedReader br = new BufferedReader(isr);
String s = "";
while ((s = br.readLine()) != null) {
sb.append(s);
}
String xml = sb.toString(); //次即为接收到微信端发送过来的xml数据
String result = "";
/** 判断是否是微信接入激活验证,只有首次接入验证时才会收到echostr参数 , 此时需要把它直接返回 */
String echostr = request.getParameter("echostr");
if (echostr != nullechostr.length()1) {
result = echostr;
} else {
//正常的微信处理流程
result = new WechatProcess().processWechatMag(xml);
}
try {
OutputStream os = response.getOutputStream();
os.write(result.getBytes("UTF-8"));
os.flush();
os.close();
} catch (Exception e) {
e.printStackTrace();
}
}
/**
* The doPost method of the servlet. br
*
* This method is called when a form has its tag value method equals to
* post.
*
* @param request
*the request send by the client to the server
* @param response
*the response send by the server to the client
* @throws ServletException
*if an error occurred
* @throws IOException
*if an error occurred
*/
public void doPost(HttpServletRequest request, HttpServletResponse response)
throws ServletException, IOException {
doGet(request, response);
}
}
1.2 相应的web.xml配置信息如下,在生成WechatServlet.java的同时,可自动生成web.xml中的配置 。前面所提到的url处可以填写例如:http;//服务器地址/项目名/wechat.do
[html] view plain copy
?xml version="1.0" encoding="UTF-8"?
web-app version="2.5"
xmlns=""
xmlns:xsi=""
xsi:schemaLocation="
"
servlet
descriptionThis is the description of my J2EE component/description
display-nameThis is the display name of my J2EE component/display-name
servlet-nameWechatServlet/servlet-name
servlet-classdemo.servlet.WechatServlet/servlet-class
/servlet
servlet-mapping
servlet-nameWechatServlet/servlet-name
url-pattern/wechat.do/url-pattern
/servlet-mapping
welcome-file-list
welcome-fileindex.jsp/welcome-file
/welcome-file-list
/web-app
1.3 通过以上代码,我们已经实现了微信公众平台开发的框架,即开通开发者模式并成功接入、接收消息和发送消息这三个步骤 。
下面就讲解其核心部分——解析接收到的xml数据,并以文本类消息为例,通过图灵机器人api接口实现智能回复 。
2.1 首先看一下整体流程处理代码,包括:xml数据处理、调用图灵api、封装返回的xml数据 。
[java] view plain copy
package demo.process;
import java.util.Date;
import demo.entity.ReceiveXmlEntity;
/**
* 微信xml消息处理流程逻辑类
* @author pamchen-1
*
*/
public class WechatProcess {
/**
* 解析处理xml、获取智能回复结果(通过图灵机器人api接口)
* @param xml 接收到的微信数据
* @return最终的解析结果(xml格式数据)
*/
public String processWechatMag(String xml){
【java编写微信源代码 java】/** 解析xml数据 */
ReceiveXmlEntity xmlEntity = new ReceiveXmlProcess().getMsgEntity(xml);
/** 以文本消息为例,调用图灵机器人api接口 , 获取回复内容 */
String result = "";
if("text".endsWith(xmlEntity.getMsgType())){
result = new TulingApiProcess().getTulingResult(xmlEntity.getContent());
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