通过java实现对chatGPT的API接口实现websocket流式输出以及接口调用两种方式代码
使用到的技术包括WebClient
、webSocket
加thymeleaf
WebClient
:客户端的使用可以开 java http客户端webSocket
:可以看webSokcet 使用thymeleaf
:可以网上直接找教程,我使用的比较简单会掉用就行,或者使用html静态页面也可以<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>Java后端WebSocket的Tomcat实现</title>
<script type="text/javascript" src="js/jquery.min.js"></script>
</head>
<body>
<strong>ChatGPT使用</strong>
<br />
<input id="text" type="text" onkeydown="checkEnter(event)"/>
<button onclick="send()">发送消息</button>
<hr />
<button onclick="closeWebSocket()">关闭WebSocket连接</button>
<hr />
<div id="message"></div>
</body>
<script type="text/javascript">
var websocket = null;
//判断当前浏览器是否支持WebSocket
if ('WebSocket' in window) {
//改成你的地址
websocket = new WebSocket("ws://localhost:8088/websocket/100");
} else {
alert('当前浏览器 Not support websocket')
}
//连接发生错误的回调方法
websocket.onerror = function () {
setMessageInnerHTML("WebSocket连接发生错误");
};
//连接成功建立的回调方法
websocket.onopen = function () {
setMessageInnerHTML("WebSocket连接成功");
}
var U01data, Uidata, Usdata
//接收到消息的回调方法
websocket.onmessage = function (event) {
console.log(event);
if (event.data !== "conn_success") {
setMessageInnerHTML(event.data);
// setMessageInnerHTML(event);
setechart()
}
}
//连接关闭的回调方法
websocket.onclose = function () {
setMessageInnerHTML("WebSocket连接关闭");
}
// //监听窗口关闭事件,当窗口关闭时,主动去关闭websocket连接,防止连接还没断开就关闭窗口,server端会抛异常。
window.onbeforeunload = function () {
closeWebSocket();
}
//将消息显示在网页上
function setMessageInnerHTML(innerHTML) {
document.getElementById('message').innerHTML += innerHTML ;
}
//关闭WebSocket连接
function closeWebSocket() {
websocket.close();
}
//发送消息
function send() {
var message = document.getElementById('text').value;
websocket.send('{"msg":"' + message + '"}');
setMessageInnerHTML("
--------------发送消息:" + message + "
");
document.getElementById('text').value = null;
}
function checkEnter(event) {
if (event.keyCode === 13) {
send();
}
}
</script>
</html>
<dependency>
<groupId>org.springframework.bootgroupId>
<artifactId>spring-boot-starter-thymeleafartifactId>
<dependency>
<groupId>org.springframework.bootgroupId>
<artifactId>spring-boot-starter-websocketartifactId>
dependency>
<dependency>
<groupId>org.springframework.bootgroupId>
<artifactId>spring-boot-starter-webfluxartifactId>
dependency>
<dependency>
<groupId>org.springframework.bootgroupId>
<artifactId>spring-boot-starter-webartifactId>
dependency>
<dependency>
<groupId>org.projectlombokgroupId>
<artifactId>lombokartifactId>
dependency>
<dependency>
<groupId>cn.hutoolgroupId>
<artifactId>hutool-allartifactId>
<version>5.8.22version>
dependency>
@Data
@NoArgsConstructor
@AllArgsConstructor
public class ChatGptRequestParameter {
private String model = "gpt-3.5-turbo-16k-0613";
// 是否支持流式输出
private boolean stream = true;
// 请求对象数组
List<ChatGptMessage> messages=new ArrayList();
public void addMessages(ChatGptMessage message) {
this.messages.add(message);
}
}
@Data
@NoArgsConstructor
@AllArgsConstructor
public class ChatGptMessage implements Serializable {
String role;
String content;
}
@Data
@NoArgsConstructor
@AllArgsConstructor
public class ChatGptResponseParameter implements Serializable {
String id;
String object;
String created;
String model;
Usage usage;
List<Choices> choices;
String system_fingerprint;
}
@Data
@NoArgsConstructor
@AllArgsConstructor
public class Choices implements Serializable {
ChatGptMessage delta;
String finish_reason;
Integer index;
String logprobs;
}
@Data
@NoArgsConstructor
@AllArgsConstructor
public class ChatGptMessage implements Serializable {
String role;
String content;
}
chatgpt
方法@Component
@Slf4j
public class WebChatGPT {
/**
* 自己chatGpt的ApiKey
*/
private String apiKey = "sk-***";
private ChatGptRequestParameter chatGptRequestParameter = new ChatGptRequestParameter();
/**
* 推送
* @param session webSocket会话对象
* @param str 请求数据
* @return Flux
*/
public Flux<String> getAnswer(Session session, String str) {
ChatGptMessage chatGptMessage = new ChatGptMessage("user", str);
// 保存消息,用于记录前面的消息,方便上下文记忆,因为3.5不能自动实现上下文记忆
chatGptRequestParameter.addMessages(chatGptMessage);
return webClient().post()
.accept(MediaType.TEXT_EVENT_STREAM) //接收text/event-stream流的数据
.body(BodyInserters.fromValue(chatGptRequestParameter)) //参数
.retrieve() //执行请求并获取响应结果
.bodyToFlux(String.class) // 将响应体转换为 Flux 类型,这里是将 SSE 流转换为字符串类型。
.map(s -> { //对每个响应元素进行处理
log.info("Gpt输出:{}", s);
if (!Objects.equals(s, "[DONE]")) {
ChatGptMessage message = JSONUtil.toBean(s, ChatGptResponseParameter.class).getChoices().get(0).getDelta();
String content = message.getContent();
if (content != null) {
try {
if (session != null) {
// 通过websocket回写到页面
session.getBasicRemote().sendText(content);
}
log.info("Gpt输出:{}", s);
} catch (IOException e) {
e.printStackTrace();
}
return content;
}
}
return "";
})
.onErrorResume(WebClientResponseException.class, ex -> Flux.just(ex.getResponseBodyAsString())) //请求失败
.doFinally(signalType -> log.info("完成{}", signalType)); //在 Flux 完成时执行,无论是成功还是错误,都会打印日志表示请求完成。
}
private WebClient webClient(){
return WebClient.builder()
// .clientConnector(new ReactorClientHttpConnector(
// HttpClient.create().proxy(proxy -> proxy.type(ProxyProvider.Proxy.HTTP).host("127.0.0.1").port(1080)) //代理
// ))
.defaultHeader(HttpHeaders.ACCEPT, MediaType.APPLICATION_JSON_VALUE)
.defaultHeader(HttpHeaders.CONTENT_TYPE, MediaType.APPLICATION_JSON_VALUE + ";charset=UTF-8")
.defaultHeader(HttpHeaders.AUTHORIZATION, "Bearer " + apiKey)
.baseUrl("https://api.openai.com/v1/chat/completions") //官方api请求地址
.build();
}
}
通过该方法和html页面建立websocket连接
@Slf4j
@Service
@ServerEndpoint("/websocket/{uid}")
@Component
public class WebSocketServer2 {
//连接建立时长
private static final long sessionTimeout = 600000;
// 用来存放每个客户端对应的WebSocketServer对象
private static Map<String, WebSocketServer2> webSocketMap = new ConcurrentHashMap<>();
// 与某个客户端的连接会话,需要通过它来给客户端发送数据
private Session session;
// 接收id
private String uid;
private static WebChatGPT webChatGPT;
static {
webChatGPT = SpringUtil.getBean(WebChatGPT.class);
}
/**
* 连接建立成功调用的方法
* @author zhengfuping
* @date 2023/8/22
* @param session
* @param uid
*/
@OnOpen
public void onOpen(Session session , @PathParam("uid") String uid){
session.setMaxIdleTimeout(sessionTimeout);
this.session = session;
this.uid = uid;
if (webSocketMap.containsKey(uid)){
webSocketMap.remove(uid);
}
webSocketMap.put(uid,this);
log.info("websocket连接成功编号uid: " + uid + ",当前在线数: " + getOnlineClients());
try{
// 响应客户端实际业务数据!
sendMessage("conn_success");
}catch (Exception e){
log.error("websocket发送连接成功错误编号uid: " + uid + ",网络异常!!!");
}
}
/**
* 连接关闭调用的方法
* @author zhengfuping
* @date 2023/8/22
*/
@OnClose
public void onClose(){
try {
if (webSocketMap.containsKey(uid)){
webSocketMap.remove(uid);
}
log.info("websocket退出编号uid: " + uid + ",当前在线数为: " + getOnlineClients());
} catch (Exception e) {
log.error("websocket编号uid连接关闭错误: " + uid + ",原因: " + e.getMessage());
}
}
/**
* 收到客户端消息后调用chatGpt的方法
* @param message 客户端发送过来的消息
* @param session
*/
@OnMessage
public void onMessage(String message, Session session) {
try {
JSON parse = JSONUtil.parse(message);
String msg = parse.getByPath("msg").toString();
if (StrUtil.isNotEmpty(msg)){
// 调用
Flux<String> answer = webChatGPT.getAnswer(session, msg);
// 触发实际的请求操作
answer.subscribe();
}
} catch (Exception e) {
log.error("websocket发送消息失败编号uid为: " + uid + ",报文: " + message);
}
}
/**
* 发生错误时调用
* @param session
* @param error
*/
@OnError
public void onError(Session session, Throwable error) {
log.error("websocket编号uid错误: " + this.uid + "原因: " + error.getMessage());
error.printStackTrace();
}
/**
* 实现服务器主动推送
* @author yingfeng
* @date 2023/8/22 10:11
* @Param * @param null
* @return
*/
public void sendMessage(String message) throws IOException {
this.session.getBasicRemote().sendText(message);
}
/**
* 获取客户端在线数
* @author zhengfuping
* @date 2023/8/22 10:11
* @param
*/
public static synchronized int getOnlineClients() {
if (Objects.isNull(webSocketMap)) {
return 0;
} else {
return webSocketMap.size();
}
}
}
@Controller
public class ChatWeb {
@RequestMapping("/webSocket")
public String webSocket(){
return "webSocket";
}
}
@RestController
@RequestMapping("/chat")
public class ChatGptController {
@Resource
private WebChatGPT webChatGPT;
@GetMapping(value ="/stringFlux", produces = "application/json; charset=utf-8")
public Flux<String> stringFlux(String c) {
Flux<String> flux = webChatGPT.getAnswer(null,c);
return flux;
}
}