2023最新！QQ接入ChatGpt!!!保姆级教程

直接先上gitee！！！基于go-cqhttp的qqbot: java实现基于cqhttp，ws连接由于当前chatgpt热度不断，网上众多的基于chatgpt提供的api做到chat网站层出不穷，但这些网址每次都得找，有些麻烦，我就在想能不能直接QQ接入chatgpt,想法一出，开始找资料开干！

1.申请一个openai官网的key

这一步首先你得有一个翻墙梯子，去openai官网来注册一个账号，这一步不会的猿猿先去找找这种注册的教程。注册完毕后，我们去openai官网个人首页去申请一个API keys

到此，就拿到了openai的APIkey

2.go-cqhttp的使用

使用 mirai 以及 MiraiGo 开发的 cqhttp golang 原生实现, 并在 cqhttp 原版的基础上做了部分修改和拓展。使用这个的目的是为了接入qq。直接上它的git: GitHub - Mrs4s/go-cqhttp: cqhttp的golang实现，轻量、原生跨平台. 之后下载它 Releases · Mrs4s/go-cqhttp · GitHub

系统类型	可执行文件	压缩文件
Intel 版 Macos	Not available	go-cqhttp_darwin_amd64.tar.gz
M1 版 Macos	Not available	go-cqhttp_darwin_arm64.tar.gz
32 位 Linux	Not available	go-cqhttp_linux_386.tar.gz
64 位 Linux	Not available	go-cqhttp_linux_amd64.tar.gz
arm64 Linux	Not available	go-cqhttp_linux_arm64.tar.gz
armv7 Linux	Not available	go-cqhttp_linux_armv7.tar.gz
32 位 Windows	go-cqhttp_windows_386.exe	go-cqhttp_windows_386.zip
64 位 Windows	go-cqhttp_windows_amd64.exe	go-cqhttp_windows_amd64.zip
arm64 Windows	go-cqhttp_windows_arm64.exe	go-cqhttp_windows_arm64.zip
armv7 Windows	go-cqhttp_windows_armv7.exe	go-cqhttp_windows_armv7.zip

我先用window来进行讲解了：

cmd运行它，我们先使用正向websocket连接选择完毕，我们可以看到一个config.yml配置文件我们来进行配置：修改device.json文件：将这个protocol设为2（手表）或0（mac）才可以扫码登录！修改完后，重新启动该程序，完成qq的登录验证，正常完成验证的情况下，就会出现登录成功！注意一定要用扫码登录！由于QQ风控越来越严了，所以用密码登录会报错45或235 到此，这个go-cqhttp服务就已经启动成功了！由于我们采用的是websocket正向连接，所以，我们就需要写一个websocket客户端来进行接收：

@ClientEndpoint
@Slf4j
public class BotClient {private Session session;public static BotClient instance;public static boolean isOpen = false;/** 提供一个spring context上下文(解决方案)*/private static ApplicationContext applicationContext;public static Count count;//    单例模式，只生成一个客户端连接对象private BotClient(String url) {try {session = ContainerProvider.getWebSocketContainer().connectToServer(this, URI.create(url));} catch (Exception e) {e.printStackTrace();}}public static void setApplicationContext(ApplicationContext applicationContext) {BotClient.applicationContext = applicationContext;count = applicationContext.getBean(Count.class);}
/*** 创建连接* @param url* @return*/public synchronized static boolean connect(String url) {instance = new  BotClient(url);return true;}
/*** 连接前处理* @param session*/@OnOpenpublic void onOpen(Session session) {isOpen = true;log.info("连接成功！");}
/*** 连接关闭处理* @param session*/@OnClosepublic void onClose(Session session) {isOpen = false;log.info("连接关闭！");}
/*** 错误时处理* @param session* @param throwable*/@OnErrorpublic void onError(Session session, Throwable throwable) {log.info("连接错误！");}
/*** 接收到消息时处理* @param message*/@OnMessagepublic void onMessage(String message) {
//        加好友if (message.contains("\"request_type\":\"friend\"")) {sendFriend(message);}
//        私信if (message.contains("\"post_type\":\"message\"") && message.contains("\"message_type\":\"private\"")) {sendMsg(message);}
//        群消息if (message.contains("\"post_type\":\"message\"")&& message.contains("\"message_type\":\"group\""))  {sendGroupMsg(message);}}
/*** 好友请求*/private synchronized void sendFriend(String msg) {Friend parseObject = JSONObject.parseObject(msg, Friend.class);log.info("收到好友请求：" + parseObject.getUser_id() + ",验证消息：" + parseObject.getComment());Request<Object> paramsRequest = new Request<>();paramsRequest.setAction(BotActionEnum.ADD_FRIEND_ACTION.getAction());Map<String, Object> params = new HashMap<>();params.put("flag", parseObject.getFlag());if (parseObject.getComment().equals(count.getAuthor())) {params.put("approve", true);log.info("已同意好友请求：" + parseObject.getUser_id());} else {params.put("approve", false);log.info("已拒绝好友请求：" + parseObject.getUser_id());}paramsRequest.setParams(params);instance.session.getAsyncRemote().sendText(JSONObject.toJSONString(paramsRequest));}/*** 群消息*/public synchronized  void sendGroupMsg(String msg) {System.out.println(msg);Message parseObject = JSONObject.parseObject(msg, Message.class);log.info("收到群消息" + parseObject.getGroupId() + "的消息，发送者"+parseObject.getUserId()+"消息："+ parseObject.getMessage()+"消息id:"+parseObject.getMessageId());System.out.println(parseObject.getMessage());String mes = parseObject.getMessage();if(mes.contains("[CQ:at,qq="+count.getBot_count()+"]")) {Request<Object> paramsRequest = new Request<>();paramsRequest.setAction(BotActionEnum.SEND_GROUP_MESSAGE.getAction());Map<String, Object> params = new HashMap<>();params.put("group_id", parseObject.getGroupId());String ai = AiOne(parseObject.getMessage(),parseObject.getMessageId());if (ai == null) {ai = "宝，回复失败!重新试试吧!";}params.put("message", ai);params.put("message_type", "group");params.put("auto_escape", false);paramsRequest.setParams(params);msg = JSONObject.toJSONString(paramsRequest);//        回复instance.session.getAsyncRemote().sendText(msg);}
}/*** 私信好友消息*/public synchronized void sendMsg(String msg) {Message parseObject = JSONObject.parseObject(msg, Message.class);log.info("收到好友" + parseObject.getUserId() + "的消息：" + parseObject.getMessage());System.out.println("消息："+parseObject.getMessage());Request<Object> paramsRequest = new Request<>();paramsRequest.setAction(BotActionEnum.SEND_PRIVATE_MESSAGE.getAction());Map<String, Object> params = new HashMap<>();params.put("user_id", parseObject.getUserId());String ai = AiOne(parseObject.getMessage(),null);if (ai == null) {ai = "宝，回复失败!重新试试吧!";}params.put("message", ai);params.put("message_type", "private");params.put("auto_escape", false);paramsRequest.setParams(params);msg = JSONObject.toJSONString(paramsRequest);
//        回复instance.session.getAsyncRemote().sendText(msg);}public  String AiOne(String sendMsg,String mes_id) {CloseableHttpClient httpClient = null;try {httpClient= HttpClientBuilder.create().build();GptUtils gptUtils = applicationContext.getBean(GptUtils.class);if(sendMsg.contains("画一幅图:")){log.info("进入到绘图......");String initBody = gptUtils.getImageURl(httpClient,sendMsg);if(Objects.isNull(mes_id)){String body =initBody;log.info("body:"+body);return body;}String body = "[CQ:reply,id="+mes_id+"]"+initBody;log.info("body:"+body);return body;}String initBody = gptUtils.getAnswer(httpClient,sendMsg);String body = null;if(Objects.isNull(mes_id)){body=initBody;log.info("body:"+body);return body;}body = "[CQ:reply,id="+mes_id+"]"+initBody;log.info("body:"+body);return body;} catch (Exception e) {log.error(e.toString());return null;}finally {try {httpClient.close();} catch (IOException e) {log.error("httpclient关闭失败");}}}

}

对于ws连接，我们也可以根据go-cqhttp的api文档来自行定制 api文档：API | go-cqhttp 帮助中心目前我实现的是群聊，私信的聊天，及生成图片，以及好友请求同意。项目的技术栈： websocket:连接go-cqhttp httpclient: 请求chatgptapi fastjson：进行序列化/反序列化 oss:图片存储

<dependencies><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter</artifactId></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-devtools</artifactId><scope>runtime</scope><optional>true</optional></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-configuration-processor</artifactId><optional>true</optional></dependency><dependency><groupId>org.projectlombok</groupId><artifactId>lombok</artifactId><optional>true</optional></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-test</artifactId><scope>test</scope></dependency><!--           websocket--><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-websocket</artifactId></dependency><!--        fastjson--><dependency><groupId>com.alibaba</groupId><artifactId>fastjson</artifactId><version>1.2.76</version></dependency><!--       httpclient用来请求自动回复API --><dependency><groupId>org.apache.httpcomponents</groupId><artifactId>httpclient</artifactId><version>4.5.13</version></dependency><!--         阿里云 OSS--><dependency><groupId>com.aliyun.oss</groupId><artifactId>aliyun-sdk-oss</artifactId><version>3.10.2</version></dependency></dependencies>

3.openAIAPI的使用

这里重点来说说使用openai提供的API的使用：先到openai官网上，我们先看看官方给的api文档：

请求：

curl https://api.openai.com/v1/chat/completions \-H "Content-Type: application/json" \-H "Authorization: Bearer $OPENAI_API_KEY" \-d '{"model": "gpt-3.5-turbo","messages": [{"role": "user", "content": "Hello!"}]}'

参数：

{"model": "gpt-3.5-turbo","messages": [{"role": "user", "content": "Hello!"}]
}

响应：

{"id": "chatcmpl-123","object": "chat.completion","created": 1677652288,"choices": [{"index": 0,"message": {"role": "assistant","content": "\n\nHello there, how may I assist you today?",},"finish_reason": "stop"}],"usage": {"prompt_tokens": 9,"completion_tokens": 12,"total_tokens": 21}
}

请求：

curl https://api.openai.com/v1/images/generations \-H "Content-Type: application/json" \-H "Authorization: Bearer $OPENAI_API_KEY" \-d '{"prompt": "A cute baby sea otter","n": 2,"size": "1024x1024"}'

参数：

{"prompt": "A cute baby sea otter","n": 2,"size": "1024x1024"
}

响应：

{"created": 1589478378,"data": [{"url": "https://..."},{"url": "https://..."}]
}

根据上面的请求响应，第一步肯定是编写VO，之后我们使用httpclient来进行请求的发送，和接收响应 VO类代码就不放这了，直接git上下载源码查看由于 OpenAI 及 GFW 的双重限制，国内开发者无法访问 OpenAI 的 API，现提供代理服务地址供开发者免费使用. 教程：OpenAI API 代理完毕，之后就能正常请求该接口了。编写请求chat聊天的方法：

/*** 创建一个ChatGptRequestParameter，用于携带请求参数*/private static ChatGptRequestParameter chatGptRequestParameter = new ChatGptRequestParameter();public String getAnswer(CloseableHttpClient client, String question) {// 创建一个HttpPostHttpPost httpPost = new HttpPost(chatUrl);// 设置请求参数chatGptRequestParameter.addMessages(new ChatGptMessage(role, question));chatGptRequestParameter.setModel(model);HttpEntity httpEntity = null;try {// 对象转换为json字符串httpEntity = new StringEntity(JSON.toJSONString(chatGptRequestParameter), charset);} catch (Exception e) {log.info(question + "->json转换异常");return null;}httpPost.setEntity(httpEntity);// 设置请求头httpPost.setHeader(HttpHeaders.CONTENT_TYPE, "application/json");// 设置登录凭证httpPost.setHeader(HttpHeaders.AUTHORIZATION, "Bearer " + apiKey);// 用于设置超时时间RequestConfig config = RequestConfig.custom().setConnectTimeout(responseTimeout).build();httpPost.setConfig(config);
//        接收返回值CloseableHttpResponse response = null;HttpEntity entity = null;try {response = client.execute(httpPost);entity = response.getEntity();
//            反序列化String responseMes = EntityUtils.toString(entity);
//            转为对象ChatGptResponseParameter responseParameter = JSON.parseObject(responseMes, ChatGptResponseParameter.class);// 遍历所有的Choices（一般都只有一个）String ans = "";for (Choices choice : responseParameter.getChoices()) {log.info("size:" + responseParameter.getChoices().size());ChatGptMessage message = choice.getMessage();chatGptRequestParameter.addMessages(new ChatGptMessage(message.getRole(), message.getContent()));String s = message.getContent().replaceAll("\n+", "\n");ans += s;}return ans;} catch (Exception e) {e.printStackTrace();}finally {try {response.close();} catch (IOException e) {e.printStackTrace();}}
//        发生异常重置会话chatGptRequestParameter = new ChatGptRequestParameter();;return "您当前的网络无法访问,会话已重置";}

编写按描述生成图片接口：

public String getImageURl(CloseableHttpClient client, String describe) {HttpPost httpPost = new HttpPost(imageGPTUrl);ImageGptMessage imageGptMessage = new ImageGptMessage(describe, size, num);String jsonString = JSON.toJSONString(imageGptMessage);HttpEntity httpEntity = new StringEntity(jsonString,charset);//        设置请求参数httpPost.setEntity(httpEntity);// 设置请求头httpPost.setHeader(org.apache.http.HttpHeaders.CONTENT_TYPE, "application/json");// 设置登录凭证httpPost.setHeader(HttpHeaders.AUTHORIZATION, "Bearer " + apiKey);//        设置请求超时时间RequestConfig timeOut = RequestConfig.custom().setConnectTimeout(responseTimeout).build();httpPost.setConfig(timeOut);//        发送请求CloseableHttpResponse response = null;InputStream stream = null;try{response = client.execute(httpPost);HttpEntity entity = response.getEntity();
//            反序列化String responseMes = EntityUtils.toString(entity);
//            转为对象ImageGptResponseParameter responseParameter = JSON.parseObject(responseMes, ImageGptResponseParameter.class);// 遍历所有的image（一般都只有一个）for (Image image : responseParameter.getData()) {HttpGet httpGet = new HttpGet(image.getUrl());response = client.execute(httpGet);HttpEntity en = response.getEntity();stream= en.getContent();String fileName = UUID.randomUUID()+".png";String lastUrl = uploadStrategyContext.executeUploadStrategy(fileName, stream, FilePathEnum.GPTIMG.getPath());String url = "[CQ:image,file="+lastUrl+"]";
//                String url = "[CQ:image,file=https://leyasuzhou-blog.oss-cn-beijing.aliyuncs.com/img/test.png]";
//                String url = image.getUrl();System.out.println(url);return url;}}catch (Exception e){log.info("图片生成出错了");}finally {try {stream.close();response.close();} catch (IOException e) {e.printStackTrace();}}return null;}}

这里原本可以直接使用cq码来进行url封装，但直接用该接口生成图片的url会报错cq码解析超时，最后我想了个办法是先将图片放到oss上，之后再从oss上拿。但这样该方法就执行的很慢，如果有人知道这个cq码解析超时咋解决私信博主！

4.lunix部署

通过 SSH 连接到服务器
cd到解压目录
输入 ./go-cqhttp, Enter运行 , 此时将提示

[WARNING]: 尝试加载配置文件 config.yml 失败: 文件不存在
[INFO]: 默认配置文件已生成,请编辑 config.yml 后重启程序.

之后继续像windows一样修改config.xml和device.json文件。这里会有一个小问题，就是在扫码登录时，会出现风控，不让你登录，这时候怎么办呢？首先，我们先在windows上扫码登录账号，登录成功后我们发现出现了一个session.token文件

这个文件保存了我们的登录信息，这时候，我们将这个文件页上传到lunix服务器上同样位置，就不用扫码登录了到此，整个项目就跑起来了。本项目是一个client单会话的，如果一个回复错误，我这边采取的是重置会话。欢迎交流技术问题来体验你的qqbot吧！！！