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目录
实现目标 :希望能够以语音的形式向提问机器人提出问题,机器人语音回答提的问题
这个项目是使用java 代码实现与讯飞大模型对接,实现机器人问答功能。
SpringBoot Demo 项目的结构:
项目代码已上传至github:GitHub - ddtxu/ddtxf
Maven 依赖
- <dependency>
- <groupId>org.springframework.boot</groupId>
- <artifactId>spring-boot-configuration-processor</artifactId>
- <optional>true</optional>
- </dependency>
- <dependency>
- <groupId>cn.hutool</groupId>
- <artifactId>hutool-all</artifactId>
- <version>5.8.18</version>
- </dependency>
- <dependency>
- <groupId>org.springframework.boot</groupId>
- <artifactId>spring-boot-starter-web</artifactId>
- </dependency>
- <dependency>
- <groupId>com.alibaba</groupId>
- <artifactId>fastjson</artifactId>
- <version>1.2.67</version>
- </dependency>
- <dependency>
- <groupId>org.java-websocket</groupId>
- <artifactId>Java-WebSocket</artifactId>
- <version>1.3.8</version>
- </dependency>
- <dependency>
- <groupId>com.squareup.okhttp3</groupId>
- <artifactId>okhttp</artifactId>
- <version>4.10.0</version>
- </dependency>
- <dependency>
- <groupId>org.projectlombok</groupId>
- <artifactId>lombok</artifactId>
- </dependency>
- <dependency>
- <groupId>cn.hutool</groupId>
- <artifactId>hutool-all</artifactId>
- <version>5.8.18</version>
- <scope>compile</scope>
- </dependency>
- xfxh:
- # 服务引擎使用 讯飞星火认知大模型V2.0,如果使用 V1.5 需要将 hostUrl 修改为 https://spark-api.xf-yun.com/v1.1/chat
- hostUrl: https://spark-api.xf-yun.com/v2.1/chat
- # 发送请求时指定的访问领域,如果是 V1.5版本 设置为 general,如果是 V2版本 设置为 generalv2
- domain: generalv2
- # 核采样阈值。用于决定结果随机性,取值越高随机性越强即相同的问题得到的不同答案的可能性越高。取值 [0,1]
- temperature: 0.5
- # 模型回答的tokens的最大长度,V1.5取值为[1,4096],V2.0取值为[1,8192]。
- maxTokens: 2048
- # 大模型回复问题的最大响应时长,单位 s
- maxResponseTime: 30
- # 允许同时连接大模型的 websocket 数,如果是普通(免费)用户为 2,超过这个数连接响应会报错,具体参考官网。
- QPS: 2
- # 用于权限验证,从服务接口认证信息中获取
- appId:
- # 用于权限验证,从服务接口认证信息中获取
- apiSecret:
- # 用于权限验证,从服务接口认证信息中获取
- apiKey:
-
- server:
- port: 8013
- @Configuration
- @ConfigurationProperties(prefix = "xfxh")
- @Data
- public class XfXhConfig {
- /**
- * 服务引擎使用 讯飞星火认知大模型V2.0,如果使用 V1.5 需要将 hostUrl 修改为 https://spark-api.xf-yun.com/v1.1/chat
- */
- private String hostUrl;
- /**
- * 发送请求时指定的访问领域,如果是 V1.5版本 设置为 general,如果是 V2版本 设置为 generalv2
- */
- private String domain;
- /**
- * 核采样阈值。用于决定结果随机性,取值越高随机性越强即相同的问题得到的不同答案的可能性越高。取值 [0,1]
- */
- private Float temperature;
- /**
- * 模型回答的tokens的最大长度,V1.5取值为[1,4096],V2.0取值为[1,8192]。
- */
- private Integer maxTokens;
- /**
- * 大模型回复问题的最大响应时长,单位 s
- */
- private Integer maxResponseTime;
- /**
- * 用于权限验证,从服务接口认证信息中获取
- */
- private String appId;
- /**
- * 用于权限验证,从服务接口认证信息中获取
- */
- private String apiKey;
- /**
- * 用于权限验证,从服务接口认证信息中获取
- */
- private String apiSecret;
-
- }
MsgDTO
- @Data
- @AllArgsConstructor
- @NoArgsConstructor
- @JsonInclude(JsonInclude.Include.NON_NULL)
- public class MsgDTO {
- /**
- * 角色
- */
- private String role;
- /**
- * 消息内容
- */
- private String content;
- /**
- * 响应结果字段:结果序号,取值为[0,10]; 当前为保留字段,开发者可忽略
- */
- private Integer index;
-
- public static final String ROLE_USER = "user";
- public static final String ROLE_ASSISTANT = "assistant";
-
- public static MsgDTO createUserMsg(String content) {
- return new MsgDTO(ROLE_USER, content, null);
- }
-
- public static MsgDTO createAssistantMsg(String content) {
- return new MsgDTO(ROLE_ASSISTANT, content, null);
- }
-
- }
-
- @NoArgsConstructor
- @Data
- public class ResponseDTO {
-
- @JsonProperty("header")
- private HeaderDTO header;
- @JsonProperty("payload")
- private PayloadDTO payload;
-
- @NoArgsConstructor
- @Data
- public static class HeaderDTO {
- /**
- * 错误码,0表示正常,非0表示出错
- */
- @JsonProperty("code")
- private Integer code;
- /**
- * 会话是否成功的描述信息
- */
- @JsonProperty("message")
- private String message;
- /**
- * 会话的唯一id,用于讯飞技术人员查询服务端会话日志使用,出现调用错误时建议留存该字段
- */
- @JsonProperty("sid")
- private String sid;
- /**
- * 会话状态,取值为[0,1,2];0代表首次结果;1代表中间结果;2代表最后一个结果
- */
- @JsonProperty("status")
- private Integer status;
- }
-
- @NoArgsConstructor
- @Data
- public static class PayloadDTO {
- @JsonProperty("choices")
- private ChoicesDTO choices;
- /**
- * 在最后一次结果返回
- */
- @JsonProperty("usage")
- private UsageDTO usage;
-
- @NoArgsConstructor
- @Data
- public static class ChoicesDTO {
- /**
- * 文本响应状态,取值为[0,1,2]; 0代表首个文本结果;1代表中间文本结果;2代表最后一个文本结果
- */
- @JsonProperty("status")
- private Integer status;
- /**
- * 返回的数据序号,取值为[0,9999999]
- */
- @JsonProperty("seq")
- private Integer seq;
- /**
- * 响应文本
- */
- @JsonProperty("text")
- private List<MsgDTO> text;
-
- }
-
- @NoArgsConstructor
- @Data
- public static class UsageDTO {
- @JsonProperty("text")
- private TextDTO text;
-
- @NoArgsConstructor
- @Data
- public static class TextDTO {
- /**
- * 保留字段,可忽略
- */
- @JsonProperty("question_tokens")
- private Integer questionTokens;
- /**
- * 包含历史问题的总tokens大小
- */
- @JsonProperty("prompt_tokens")
- private Integer promptTokens;
- /**
- * 回答的tokens大小
- */
- @JsonProperty("completion_tokens")
- private Integer completionTokens;
- /**
- * prompt_tokens和completion_tokens的和,也是本次交互计费的tokens大小
- */
- @JsonProperty("total_tokens")
- private Integer totalTokens;
- }
- }
- }
- }
- @NoArgsConstructor
- @Data
- public class RequestDTO {
-
- @JsonProperty("header")
- private HeaderDTO header;
- @JsonProperty("parameter")
- private ParameterDTO parameter;
- @JsonProperty("payload")
- private PayloadDTO payload;
-
- @NoArgsConstructor
- @Data
- @AllArgsConstructor
- public static class HeaderDTO {
- /**
- * 应用appid,从开放平台控制台创建的应用中获取
- */
- @JSONField(name = "app_id")
- private String appId;
- /**
- * 每个用户的id,用于区分不同用户,最大长度32
- */
- @JSONField(name = "uid")
- private String uid;
- }
-
- @NoArgsConstructor
- @Data
- @AllArgsConstructor
- public static class ParameterDTO {
- private ChatDTO chat;
-
- @NoArgsConstructor
- @Data
- @AllArgsConstructor
- public static class ChatDTO {
- /**
- * 指定访问的领域,general指向V1.5版本 generalv2指向V2版本。注意:不同的取值对应的url也不一样!
- */
- @JsonProperty("domain")
- private String domain;
- /**
- * 核采样阈值。用于决定结果随机性,取值越高随机性越强即相同的问题得到的不同答案的可能性越高
- */
- @JsonProperty("temperature")
- private Float temperature;
- /**
- * 模型回答的tokens的最大长度
- */
- @JSONField(name = "max_tokens")
- private Integer maxTokens;
- }
- }
-
- @NoArgsConstructor
- @Data
- @AllArgsConstructor
- public static class PayloadDTO {
- @JsonProperty("message")
- private MessageDTO message;
-
- @NoArgsConstructor
- @Data
- @AllArgsConstructor
- public static class MessageDTO {
- @JsonProperty("text")
- private List<MsgDTO> text;
- }
- }
- }
XfXhWebSocketListener
- @Slf4j
- public class XfXhWebSocketListener extends WebSocketListener {
- private StringBuilder answer = new StringBuilder();
-
- private boolean wsCloseFlag = false;
-
- public StringBuilder getAnswer() {
- return answer;
- }
-
- public boolean isWsCloseFlag() {
- return wsCloseFlag;
- }
-
- @Override
- public void onOpen(@NotNull WebSocket webSocket, @NotNull Response response) {
- super.onOpen(webSocket, response);
- }
-
- @Override
- public void onMessage(@NotNull WebSocket webSocket, @NotNull String text) {
- super.onMessage(webSocket, text);
- // 将大模型回复的 JSON 文本转为 ResponseDTO 对象
- ResponseDTO responseData = JSONObject.parseObject(text, ResponseDTO.class);
- // 如果响应数据中的 header 的 code 值不为 0,则表示响应错误
- if (responseData.getHeader().getCode() != 0) {
- // 日志记录
- log.error("发生错误,错误码为:" + responseData.getHeader().getCode() + "; " + "信息:" + responseData.getHeader().getMessage());
- // 设置回答
- this.answer = new StringBuilder("大模型响应错误,请稍后再试");
- // 关闭连接标识
- wsCloseFlag = true;
- return;
- }
- // 将回答进行拼接
- for (MsgDTO msgDTO : responseData.getPayload().getChoices().getText()) {
- this.answer.append(msgDTO.getContent());
- }
- // 对最后一个文本结果进行处理
- if (2 == responseData.getHeader().getStatus()) {
- wsCloseFlag = true;
- }
- }
-
- @Override
- public void onFailure(@NotNull WebSocket webSocket, @NotNull Throwable t, @Nullable Response response) {
- super.onFailure(webSocket, t, response);
- }
-
- @Override
- public void onClosed(@NotNull WebSocket webSocket, int code, @NotNull String reason) {
- super.onClosed(webSocket, code, reason);
- }
- }
XfXhStreamClient
- @Component
- @Slf4j
- public class XfXhStreamClient {
- @Resource
- private XfXhConfig xfXhConfig;
-
- @Value("${xfxh.QPS}")
- private int connectionTokenCount;
-
- /**
- * 获取令牌
- */
- public static int GET_TOKEN_STATUS = 0;
- /**
- * 归还令牌
- */
- public static int BACK_TOKEN_STATUS = 1;
-
- /**
- * 操作令牌
- *
- * @param status 0-获取令牌 1-归还令牌
- * @return 是否操作成功
- */
- public synchronized boolean operateToken(int status) {
- if (status == GET_TOKEN_STATUS) {
- // 获取令牌
- if (connectionTokenCount != 0) {
- // 说明还有令牌,将令牌数减一
- connectionTokenCount -= 1;
- return true;
- } else {
- return false;
- }
- } else {
- // 放回令牌
- connectionTokenCount += 1;
- return true;
- }
- }
-
- /**
- * 发送消息
- *
- * @param uid 每个用户的id,用于区分不同用户
- * @param msgList 发送给大模型的消息,可以包含上下文内容
- * @return 获取websocket连接,以便于我们在获取完整大模型回复后手动关闭连接
- */
- public WebSocket sendMsg(String uid, List<MsgDTO> msgList, WebSocketListener listener) {
- // 获取鉴权url
- String authUrl = this.getAuthUrl();
- // 鉴权方法生成失败,直接返回 null
- if (authUrl == null) {
- return null;
- }
- OkHttpClient okHttpClient = new OkHttpClient.Builder().build();
- // 将 https/http 连接替换为 ws/wss 连接
- String url = authUrl.replace("http://", "ws://").replace("https://", "wss://");
- Request request = new Request.Builder().url(url).build();
- // 建立 wss 连接
- WebSocket webSocket = okHttpClient.newWebSocket(request, listener);
- // 组装请求参数
- RequestDTO requestDTO = getRequestParam(uid, msgList);
- // 发送请求
- webSocket.send(JSONObject.toJSONString(requestDTO));
- return webSocket;
- }
-
- /**
- * 生成鉴权方法,具体实现不用关心,这是讯飞官方定义的鉴权方式
- *
- * @return 鉴权访问大模型的路径
- */
- public String getAuthUrl() {
- try {
- URL url = new URL(xfXhConfig.getHostUrl());
- // 时间
- SimpleDateFormat format = new SimpleDateFormat("EEE, dd MMM yyyy HH:mm:ss z", Locale.US);
- format.setTimeZone(TimeZone.getTimeZone("GMT"));
- String date = format.format(new Date());
- // 拼接
- String preStr = "host: " + url.getHost() + "\n" +
- "date: " + date + "\n" +
- "GET " + url.getPath() + " HTTP/1.1";
- // SHA256加密
- Mac mac = Mac.getInstance("hmacsha256");
- SecretKeySpec spec = new SecretKeySpec(xfXhConfig.getApiSecret().getBytes(StandardCharsets.UTF_8), "hmacsha256");
- mac.init(spec);
-
- byte[] hexDigits = mac.doFinal(preStr.getBytes(StandardCharsets.UTF_8));
- // Base64加密
- String sha = Base64.getEncoder().encodeToString(hexDigits);
- // 拼接
- String authorizationOrigin = String.format("api_key=\"%s\", algorithm=\"%s\", headers=\"%s\", signature=\"%s\"", xfXhConfig.getApiKey(), "hmac-sha256", "host date request-line", sha);
- // 拼接地址
- HttpUrl httpUrl = Objects.requireNonNull(HttpUrl.parse("https://" + url.getHost() + url.getPath())).newBuilder().
- addQueryParameter("authorization", Base64.getEncoder().encodeToString(authorizationOrigin.getBytes(StandardCharsets.UTF_8))).
- addQueryParameter("date", date).
- addQueryParameter("host", url.getHost()).
- build();
-
- return httpUrl.toString();
- } catch (Exception e) {
- log.error("鉴权方法中发生错误:" + e.getMessage());
- return null;
- }
- }
-
- /**
- * 获取请求参数
- *
- * @param uid 每个用户的id,用于区分不同用户
- * @param msgList 发送给大模型的消息,可以包含上下文内容
- * @return 请求DTO,该 DTO 转 json 字符串后生成的格式参考 resources/demo-json/request.json
- */
- public RequestDTO getRequestParam(String uid, List<MsgDTO> msgList) {
- RequestDTO requestDTO = new RequestDTO();
- requestDTO.setHeader(new RequestDTO.HeaderDTO(xfXhConfig.getAppId(), uid));
- requestDTO.setParameter(new RequestDTO.ParameterDTO(new RequestDTO.ParameterDTO.ChatDTO(xfXhConfig.getDomain(), xfXhConfig.getTemperature(), xfXhConfig.getMaxTokens())));
- requestDTO.setPayload(new RequestDTO.PayloadDTO(new RequestDTO.PayloadDTO.MessageDTO(msgList)));
- return requestDTO;
- }
-
- }
- @SpringBootApplication
- public class XfXhApplication {
- public static void main(String[] args) {
- SpringApplication.run(XfXhApplication.class, args);
- }
- }
- @RestController
- @RequestMapping("/test")
- @Slf4j
- public class DDTestController {
-
- @Resource
- private XfXhStreamClient xfXhStreamClient;
-
- @Resource
- private XfXhConfig xfXhConfig;
-
- @PostMapping("/flow")
- public Map<String, Object> flow(@RequestBody Map<String, Object> tokenMap) throws Exception {
- String asrAddr = "127.0.0.1:9988";
- String ttsAddr = "";//从顶顶通官网获取相关路径
-
- Long timestamp = (Long) tokenMap.get("timestamp");
- String method = (String) tokenMap.get("method");
- String callid = (String) tokenMap.get("callid");
- String appid = (String) tokenMap.get("appid");
- Map<String, Object> resultMap = new HashMap<>();
- if ("create".equals(method)) {
- String callSource = (String) tokenMap.get("call_source");
- log.info("callSource ===>{}", callSource);
- String sourceName = (String) tokenMap.get("source_name");
- log.info("sourceName ===>{}", sourceName);
-
- Map<String, Object> ttsMap = new HashMap<>();
- resultMap.put("action", "cti_play_and_detect_speech");
- String date = LocalDateTime.now().toString();
- resultMap.put("argument", "'1' '64' '0' '0.8' '" + asrAddr + "' '120' '800' '5000' '20000' '' '' '" + appid + "' '1' '" + date + "' 'wav'");
-
- ttsMap.put("ttsurl", ttsAddr);
- ttsMap.put("ttsvoicename", "");
- ttsMap.put("ttsconfig", "");
- ttsMap.put("ttsengine", "");
- ttsMap.put("ttsvolume", 0);
- ttsMap.put("ttsspeechrate", 0);
- ttsMap.put("ttspitchrate", 0);
-
- resultMap.put("tts", ttsMap);
- resultMap.put("privatedata", "test");
- List<String> list = Arrays.asList("欢迎进入测试程序,被叫号码是", "15307306845", "请继续说话测试吧", "等待音乐.wav");
- resultMap.put("playbacks", list);
- resultMap.put("sound_file_dir", "/ddt/fs/sounds/cti/acd");
- resultMap.put("pre_tts_text", Arrays.asList("徐先生", "2023年10月10日"));
- resultMap.put("quickresponse", true);
- resultMap.put("log", "create succeed");
-
- } else if ("input".equals(method)) {
- String privatedata = (String) tokenMap.get("privatedata");
- log.info("privatedata ===>{}", privatedata);
- String input_type = (String) tokenMap.get("input_type");
- log.info("input_type ===>{}", input_type);
- String input_args = (String) tokenMap.get("input_args");
- log.info("input_args ===>{}", input_args);
- Long input_start_time = (Long) tokenMap.get("input_start_time");
- log.info("input_start_time ===>{}", input_start_time);
- Integer input_duration = (Integer) tokenMap.get("input_duration");
- log.info("input_duration ===>{}", input_duration);
- Integer play_progress = (Integer) tokenMap.get("play_progress");
- log.info("play_progress ===>{}", play_progress);
- if ("complete".equals(input_type)) {
- // String inputArgSub = input_args.substring(0, 6);
- if (input_args.contains("hangup")) {
- resultMap.put("action", "hangup");
- resultMap.put("log", "挂机");
- } else if (input_args.contains("record")) {
- String recordfile = StrUtil.subWithLength(input_args, 7, input_args.length() - 8);
- resultMap.put("action", "cti_play_and_detect_speech");
- String date = LocalDateTime.now().toString();
- resultMap.put("argument", "'1' '1' '0' '0.8' '" + asrAddr + "' '120' '800' '5000' '20000' '' '' " + appid + " '1' '" + date + "' 'wav'");
- resultMap.put("privatedata", "test");
- resultMap.put("playbacks", Arrays.asList("刚刚的录音内容是", recordfile, "请继续说话,可以说关键词,人工,转接,暂停,停止,分机来测试"));
- resultMap.put("quickresponse", true);
- resultMap.put("log", "播放录音");
- } else {
- resultMap.put("action", "cti_play_and_detect_speech");
- String date = LocalDateTime.now().toString();
- resultMap.put("argument", "'1' '1' '0' '0.8' '" + asrAddr + "' '120' '800' '5000' '20000' '' '' '" + appid + "' '1' '" + date + "' 'wav'");
- resultMap.put("privatedata", "test");
- resultMap.put("playbacks", Collections.singletonList("动作执行完成,这里必须放音,请继续说话,可以继续提问"));
- resultMap.put("quickresponse", true);
- resultMap.put("log", "重新开始放音");
-
- }
- } else {
- String prefix = StrUtil.sub(input_args, 0, 1);
- String text = StrUtil.subSuf(input_args, 1);
- if ("S".equals(prefix)) {
- if (!"stop".equals(privatedata)) {
- if (play_progress > 0) {
- resultMap.put("commands", Collections.singletonList("uuid_cti_play_and_detect_speech_break_play " + callid));
- resultMap.put("privatedata", "stop");
- resultMap.put("log", "停止放音,但是不停止ASR识别。模拟关键词打断");
- }
- }
- } else if ("F".equals(prefix)) {
- if (text.contains("挂断")) {
- resultMap.put("action", "hangup");
- resultMap.put("privatedata", "test");
- resultMap.put("playbacks", Collections.singletonList("谢谢你的测试,再见"));
- resultMap.put("log", "挂机");
- }
- else{
- //根据用户语音提问讯飞大模型
- String str = sendQuestion(text);
- resultMap.put("action", "cti_play_and_detect_speech");
- String date = LocalDateTime.now().toString();
- resultMap.put("argument", "'1' '1' '0' '0.8' '" + asrAddr + "' '120' '800' '5000' '20000' '' '' '" + appid + "' '1' '" + date + "' 'wav'");
- resultMap.put("privatedata", "test");
- //回答的问题转语音
- resultMap.put("playbacks", Collections.singletonList(str));
- resultMap.put("quickresponse", true);
- resultMap.put("log", "播放识别结果");
- }
- }
- if ("D".equals(prefix)) {
- resultMap.put("action", "cti_play_and_detect_speech");
- String date = LocalDateTime.now().toString();
- resultMap.put("argument", "'1' '1' '0' '0.8' '" + asrAddr + "' '120' '800' '10000' '20000' '' '' '" + appid + "' '1' '" + date + "' 'wav'");
- resultMap.put("privatedata", "test");
- resultMap.put("dtmf_terminators", "#");
- resultMap.put("playbacks", Arrays.asList("刚刚的按键内容是", text, "请继续按键测试吧,并以#号键结束"));
- resultMap.put("log", "按键识别结果");
- } else {
- resultMap.put("log", "no processing");
- }
- }
- } else if ("destory".equals(method)) {
- resultMap.put("log", "destory succeed");
- }
- return resultMap;
- }
-
- private StringBuilder respons(String str){
- str.replaceAll("\\s+", "");
- String[] parts = str.split("[,。!]");
- StringBuilder sb = new StringBuilder();
- for (int i = 0; i < parts.length; i++) {
- sb.append("\"").append(parts[i]).append("\"");
- if (i != parts.length - 1) {
- sb.append(","); }
- }
- return sb;
-
- }
-
-
- private String sendQuestion( String question) {
- // 如果是无效字符串,则不对大模型进行请求
- if (StrUtil.isBlank(question)) {
- return "无效问题,请重新输入";
- }
- // 获取连接令牌
- if (!xfXhStreamClient.operateToken(XfXhStreamClient.GET_TOKEN_STATUS)) {
- return "当前大模型连接数过多,请稍后再试";
- }
-
- // 创建消息对象
- MsgDTO msgDTO = MsgDTO.createUserMsg(question);
- // 创建监听器
- XfXhWebSocketListener listener = new XfXhWebSocketListener();
- // 发送问题给大模型,生成 websocket 连接
- WebSocket webSocket = xfXhStreamClient.sendMsg(UUID.randomUUID().toString().substring(0, 10), Collections.singletonList(msgDTO), listener);
- if (webSocket == null) {
- // 归还令牌
- xfXhStreamClient.operateToken(XfXhStreamClient.BACK_TOKEN_STATUS);
- return "系统内部错误,请联系管理员";
- }
- try {
- int count = 0;
- // 为了避免死循环,设置循环次数来定义超时时长
- int maxCount = xfXhConfig.getMaxResponseTime() * 5;
- while (count <= maxCount) {
- Thread.sleep(200);
- if (listener.isWsCloseFlag()) {
- break;
- }
- count++;
- }
- if (count > maxCount) {
- return "大模型响应超时,请联系管理员";
- }
- // 响应大模型的答案
- return listener.getAnswer().toString();
- } catch (InterruptedException e) {
- log.error("错误:" + e.getMessage());
- return "系统内部错误,请联系管理员";
- } finally {
- // 关闭 websocket 连接
- webSocket.close(1000, "");
- // 归还令牌
- xfXhStreamClient.operateToken(XfXhStreamClient.BACK_TOKEN_STATUS);
- }
- }
-
- }
基础配置 -> 拨号方案 - >http话术 -> cti_robot 填写项目接口
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