微信公众号接入chatGPT自动回复(2)

微信公众平台

配置自动回复的服务器

application.properties中的配置

验证服务器接口配置

其实就两个接口(相同的url地址,只不过请求方式不一样)

1.验证接口(get请求)

2.自动回复接口(post请求)

完整代码这个地址就是上面URL配置的地址如果使用Nginx的话自动配置

将该代码先部署到服务器才可以验证通过

@RestController
@RequestMapping("/xxxx")
@Slf4j
public class WeChatController {@Value("${weixin.token}")private String token;@GetMapping("/XXXXX")public String handleMessage(@RequestParam("signature") String signature,@RequestParam("timestamp") String timestamp,@RequestParam("nonce") String nonce,@RequestParam("echostr") String echostr) throws AesException {log.info("signature:{},timestamp{},nonce:{},echostr:{}", signature, timestamp, nonce, echostr);String[] params = new String[]{token, timestamp, nonce};Arrays.sort(params);StringBuilder sb = new StringBuilder();for (String param : params) {sb.append(param);}String checkSignature = getSHA1(sb.toString());if (checkSignature.equals(signature)) {log.info("校验成功");return echostr; // 确认请求来自微信服务器} else {log.info("校验失败");return "error";}}private static String getSHA1(String str) {try {MessageDigest md = MessageDigest.getInstance("SHA-1");md.update(str.getBytes());byte[] bytes = md.digest();StringBuilder hexStr = new StringBuilder();for (byte b : bytes) {String shaHex = Integer.toHexString(b & 0xFF);if (shaHex.length() < 2) {hexStr.append(0);}hexStr.append(shaHex);}return hexStr.toString();} catch (Exception e) {e.printStackTrace();}return "";}}

第二部编写自动回复的代码

这里我只看了文本

   @PostMapping("/xxxx")//和get验证请求相同的path只不过请求方式变了public String receiveMessage(@RequestBody String requestBody,@RequestParam("signature") String signature,@RequestParam("timestamp") String timestamp,@RequestParam("nonce") String nonce,@RequestParam("openid") String openid,@RequestParam(name = "encrypt_type", required = false) String encryptType,@RequestParam(name = "msg_signature", required = false) String msgSignature) throws Exception{// 记录接收到的消息和参数log.info("Received message with requestBody: {}, signature: {}, timestamp: {}, nonce: {}, openid: {}, encryptType: {}, msgSignature: {}",requestBody, signature, timestamp, nonce, openid, encryptType, msgSignature);
//        WXBizMsgCrypt wxBizMsgCrypt = new WXBizMsgCrypt(token, encodingAesKey, appid);
//        String decryptedMessage = "";
//
//        if ("aes".equals(encryptType)) {
//            decryptedMessage = wxBizMsgCrypt.decryptMsg(msgSignature, timestamp, nonce, requestBody);
//            log.info("解密后的消息是:{}", decryptedMessage);
//        } else {
//            decryptedMessage = requestBody;  // 非加密模式，直接使用请求体
//        }
//
//        // 从解密后的消息中解析出 FromUserName 和 ToUserName
//        DocumentBuilderFactory dbf = DocumentBuilderFactory.newInstance();
//        DocumentBuilder db = dbf.newDocumentBuilder();
//        Document doc = db.parse(new InputSource(new StringReader(decryptedMessage)));
//        String fromUserName = doc.getElementsByTagName("FromUserName").item(0).getTextContent();
//        String toUserName = doc.getElementsByTagName("ToUserName").item(0).getTextContent();
//        String userMessage = doc.getElementsByTagName("Content").item(0).getTextContent(); // 用户发送的内容
//        log.info("fromUserName:{},toUserName:{},userMessage:{}",fromUserName,toUserName,userMessage);
//        String response = TYQWUtils.callWithMessage(userMessage);
//
//
//        // 解析XML、处理消息并构建响应消息
//        String responseContent = "Hello, this is a response";
//
//
//        log.info("调用通义千问的结果:{}", response);
//
//        //这里解析通义千问的结果
//        Pattern pattern = Pattern.compile("content=([^,]+),");
//        Matcher matcher = pattern.matcher(response);
//        //matcher.find()必须要留
//        if (matcher.find()) {
//            System.out.println("匹配: " + matcher.group(1));
//            responseContent= matcher.group(1);
//        } else {
//            System.out.println("不匹配");
//        }
//
//
//        String responseXml = "<xml>" +
//                "<ToUserName><![CDATA[" + fromUserName + "]]></ToUserName>" +  // 发送到原消息的发送者
//                "<FromUserName><![CDATA[" + toUserName + "]]></FromUserName>" +  // 您的公众号
//                "<CreateTime>" + System.currentTimeMillis() / 1000 + "</CreateTime>" +
//                "<MsgType><![CDATA[text]]></MsgType>" +
//                "<Content><![CDATA[" + responseContent + "]]></Content>" +
//                "</xml>";
//
//        // 加密响应消息
//        if ("aes".equals(encryptType)) {
//            String encryptedResponse = wxBizMsgCrypt.encryptMsg(responseXml, timestamp, nonce);
//            log.info("返回的加密内容是:{}", encryptedResponse);
//            return encryptedResponse;
//        } else {
//            return responseXml;  // 非加密模式，直接返回
//        }

如果用上面这种回复方式时间不能超过5秒微信会连续3次超过5秒就会断开连接

因此调用大模型回答的话建议是用异步客服消息方式这也是官方给出的合理方式