PythonTtsProxyService.java 25.1 KB
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package com.xly.tts.service;

import cn.hutool.core.util.ObjectUtil;
import cn.hutool.core.util.StrUtil;
import com.xly.constant.BusinessCode;
import com.xly.constant.ReturnTypeCode;
import com.xly.entity.AiResponseAccumulator;
import com.xly.entity.AiResponseDTO;
import com.xly.service.UserSceneSessionService;
import com.xly.service.XlyErpService;
import com.xly.tts.bean.*;
import com.xly.util.AdvancedSymbolRemover;
import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.core.io.InputStreamResource;
import org.springframework.http.*;
import org.springframework.stereotype.Service;
import org.springframework.web.client.RestTemplate;
import reactor.core.publisher.Flux;

import javax.annotation.PostConstruct;
import java.io.*;
import java.time.Duration;
import java.util.*;
import java.util.concurrent.CompletableFuture;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.io.InputStream;

@Slf4j
@Service
@RequiredArgsConstructor
public class PythonTtsProxyService {

    private final RestTemplate restTemplate;

    @Value("${tts.python.url:http://localhost:8000}")
    private String pythonServiceUrl;

    @Value("${tts.python.timeout:30000}")
    private int timeout;

    private ExecutorService executorService;

    private final XlyErpService xlyErpService;
    private final UserSceneSessionService userSceneSessionService;

    @PostConstruct
    public void init() {
        executorService = Executors.newFixedThreadPool(5);
        log.info("Python TTS代理服务初始化完成,Python服务地址: {}", pythonServiceUrl);
    }

    public ResponseEntity<TTSResponseDTO> initTool(TTSRequestDTO request) {
        TTSResponseDTO ttsResponse = TTSResponseDTO.builder()
                .code(200)
                .message("success")
                .build();
        return ResponseEntity.ok(ttsResponse);
    }

    /**
     * 流式合成语音 - 代理到Python服务
     */
    public ResponseEntity<InputStreamResource> synthesizeStream(TTSRequestDTO request) {
        return getVoiceResult(request);
    }

    /**
     * 【保持原有返回类型】AI对话 + 流式TTS
     */
    public ResponseEntity<TTSResponseDTO> synthesizeStreamAi(TTSRequestDTO request) {
        String userInput = request.getText();
        String sUserId = request.getUserid();
        String sUserName = request.getUsername();
        String sBrandsId = request.getBrandsid();
        String sSubsidiaryId = request.getSubsidiaryid();
        String sUserType = request.getUsertype();
        String authorization = request.getAuthorization();
        AiResponseDTO voiceText = xlyErpService.erpUserInput(userInput, sUserId, sUserName, sBrandsId, sSubsidiaryId, sUserType, authorization);
        return synthesizeStreamAi(request, voiceText);
    }

    /**
     * 流式ERP + 流式TTS合成
     */
    public Flux<TTSResponseDTO> synthesizeStreamAiStream(TTSRequestDTO request) {
        String userInput = request.getText();
        String sUserId = request.getUserid();
        String sUserName = request.getUsername();
        String sBrandsId = request.getBrandsid();
        String sSubsidiaryId = request.getSubsidiaryid();
        String sUserType = request.getUsertype();
        String authorization = request.getAuthorization();
        String requestId = UUID.randomUUID().toString();

        log.info("开始流式处理: requestId={}, userId={}", requestId, sUserId);

        // 1. 处理ERP流,将AiResponseDTO转换为TTSResponseDTO
        Flux<TTSResponseDTO> erpStream = xlyErpService.erpUserInputStream(
                        userInput, sUserId, sUserName, sBrandsId,
                        sSubsidiaryId, sUserType, authorization
                )
                .map(aiResponse -> {
                    // 将AiResponseDTO转换为TTSResponseDTO
                    TTSResponseDTO dto = TTSResponseDTO.builder()
                            .code(200)
                            .message("ERP_CHUNK")
                            .requestId(requestId)
                            .processedText(aiResponse.getAiText())  // 使用 aiText 字段传递文本
                            .systemText(aiResponse.getSystemText())
                            .sSceneName(aiResponse.getSSceneName())
                            .sMethodName(aiResponse.getSMethodName())
                            .sReturnType(aiResponse.getSReturnType())
                            .timestamp(System.currentTimeMillis())
                            .build();

                    log.debug("发送ERP片段: requestId={}, text长度={}", requestId, aiResponse.getAiText() != null ? aiResponse.getAiText().length() : 0);
                    return dto;
                });

        // 2. 收集完整的ERP响应(用于TTS)
        List<String> textChunks = new ArrayList<>();
        List<String> systemTextChunks = new ArrayList<>();
        Flux<TTSResponseDTO> erpWithCollect = erpStream
                .doOnNext(dto -> {
                    // 收集文本片段
                    if (dto.getProcessedText() != null) {
                        textChunks.add(dto.getProcessedText());
                    }
                    if (dto.getSystemText() != null) {
                        systemTextChunks.add(dto.getSystemText());
                    }
                });

        // 3. ERP完成后,发送完成标记并开始TTS
        return erpWithCollect
                .concatWith(Flux.defer(() -> {
                    // 合并所有文本片段
                    String fullText = String.join("", textChunks);
                    String fullSystemText = String.join("", systemTextChunks);

                    if (StrUtil.isBlank(fullText)) {
                        log.warn("ERP返回空文本: requestId={}", requestId);
                        return Flux.just(TTSResponseDTO.error(requestId, 500, "ERP返回空文本"));
                    }

                    log.info("ERP流式处理完成,开始TTS合成: requestId={}, 文本长度={}",
                            requestId, fullText.length());

                    // 发送ERP完成消息
                    TTSResponseDTO completeDto = TTSResponseDTO.builder()
                            .code(200)
                            .message("ERP_COMPLETE")
                            .requestId(requestId)
//                            .processedText(fullText)
//                            .systemText(fullSystemText)
                            .timestamp(System.currentTimeMillis())
                            .build();
//                    AiResponseDTO aiResponseDTO = AiResponseDTO.builder().aiText(fullText).systemText(fullSystemText);

                    // 调用TTS合成
//                   synthesizeStreamAi(request, aiResponseDTO);
                    // 先发送完成消息,再发送TTS流
                    return Flux.just(completeDto);
                            //Flux.concat(Flux.just(completeDto), ttsStream);
                }))
                .timeout(Duration.ofSeconds(120))
                .onErrorResume(e -> {
                    log.error("流式处理失败: requestId={}", requestId, e);
                    return Flux.just(TTSResponseDTO.error(requestId, 500, e.getMessage()));
                })
                .doOnComplete(() -> log.info("流式处理完成: requestId={}", requestId))
                .doOnCancel(() -> log.warn("流式处理取消: requestId={}", requestId));
    }

//    /**
//     * 调用TTS服务进行语音合成(流式返回)
//     */
//    private Flux<TTSResponseDTO> synthesizeTtsStream(TTSRequestDTO originalRequest,
//                                                     String text,
//                                                     String requestId) {
//        // 构建TTS请求
//        TTSRequestDTO ttsRequest = TTSRequestDTO.builder()
//                .userid(originalRequest.getUserid())
//                .text(text)
//                .voice(originalRequest.getVoice())
//                .rate(originalRequest.getRate())
//                .volume(originalRequest.getVolume())
//                .voiceless(originalRequest.getVoiceless())
//                .build();
//
//        // 调用Python TTS服务
//        return webClient.post()
//                .uri("http://python-service:5000/api/tts/synthesize")
//                .contentType(MediaType.APPLICATION_JSON)
//                .bodyValue(ttsRequest)
//                .retrieve()
//                .bodyToFlux(TTSResponseDTO.class)
//                .doOnNext(ttsResponse -> {
//                    ttsResponse.setRequestId(requestId);
//                    ttsResponse.setMessage("TTS_SEGMENT");
//                    log.debug("发送TTS片段: requestId={}, audioSize={}",
//                            requestId,
//                            ttsResponse.getAudio() != null ? ttsResponse.getAudio().length() : 0);
//                });
//    }





    public ResponseEntity<TTSResponseDTO> cleanMemory(TTSRequestDTO request) {
        String sUserId = request.getUserid();
        String sUserName = request.getUsername();
        String sBrandsId = request.getBrandsid();
        String sSubsidiaryId = request.getSubsidiaryid();
        String sUserType = request.getUsertype();
        String authorization = request.getAuthorization();
        AiResponseDTO aiResponseDTO = xlyErpService.cleanMemory(sUserId, sUserName, sBrandsId, sSubsidiaryId, sUserType, authorization);
        return ResponseEntity.ok(TTSResponseDTO.builder()
                .code(200)
                .message("success")
                .originalText(request.getText())
                .processedText(aiResponseDTO.getAiText())
                .systemText(aiResponseDTO.getSystemText())
                .voice(request.getVoice())
                .sSceneName(aiResponseDTO.getSSceneName())
                .sMethodName(aiResponseDTO.getSMethodName())
                .sReturnType(aiResponseDTO.getSReturnType())
                .timestamp(System.currentTimeMillis())
                .textLength(request.getText().length())
                .build());
    }

    /**
     * 【保持原有返回类型】不动!!!
     */
    public ResponseEntity<TTSResponseDTO> init(TTSRequestDTO request) {
        String sUserId = request.getUserid();
        String sUserName = request.getUsername();
        String sBrandsId = request.getBrandsid();
        String sSubsidiaryId = request.getSubsidiaryid();
        String sUserType = request.getUsertype();
        String authorization = request.getAuthorization();

        // 清空记忆
        userSceneSessionService.cleanUserSession(sUserId);
        AiResponseDTO voiceText = xlyErpService.initSceneGuide(StrUtil.EMPTY, sUserId, sUserName, sBrandsId, sSubsidiaryId, sUserType, authorization);
        voiceText.setSReturnType(ReturnTypeCode.HTML.getCode());
        return synthesizeStreamAi(request, voiceText);
    }

    /**
     * 内部流式请求Python
     */
    public ResponseEntity<TTSResponseDTO> synthesizeStreamAi(TTSRequestDTO request, AiResponseDTO aiResponseDTO) {
        String aiText = aiResponseDTO.getAiText();
        String systemText = aiResponseDTO.getSystemText();
        if (ObjectUtil.isEmpty(systemText)) {
            systemText = StrUtil.EMPTY;
        }
        String voiceTextNew = AdvancedSymbolRemover.removePunctuationHtml(aiText);
        // ============================
        // 【绝对唯一】不会重复、不会覆盖
        // ============================
        String cacheKey = request.getUserid() + "_" + System.nanoTime();
        TTSResponseDTO dto = TTSResponseDTO.builder()
                .code(200)
                .message("success")
                .cacheKey(cacheKey)  // 前端靠这个取自己的分段
                .originalText(request.getText())
                .processedText(aiText)
                .audioText(voiceTextNew)
                .systemText(systemText)
                .voice(request.getVoice())
                .sSceneName(aiResponseDTO.getSSceneName())
                .sMethodName(aiResponseDTO.getSMethodName())
                .sReturnType(aiResponseDTO.getSReturnType())
                .sCommonts(BusinessCode.COMMONTS.getMessage())
                .timestamp(System.currentTimeMillis())
                .textLength((aiText + systemText).length())
                .build();

        boolean voiceless = Boolean.TRUE.equals(request.getVoiceless());
        if (!voiceless || ObjectUtil.isEmpty(voiceTextNew)) {
            return ResponseEntity.ok(dto);
        }
        // 平均分割文字
        List<String> textParts = splitTextSmart(voiceTextNew, 30);
        dto.setAudioSize(textParts.size());
        // 异步分段合成
        CompletableFuture.runAsync(() -> {
            for (int i = 0; i < textParts.size(); i++) {
                String part = textParts.get(i);
                if (ObjectUtil.isEmpty(part)) continue;

                try {
                    Map<String, Object> params = new HashMap<>();
                    params.put("text", part);
                    params.put("voice", request.getVoice());
                    params.put("rate", request.getRate() != null ? request.getRate() : "+10%");
                    params.put("volume", request.getVolume() != null ? request.getVolume() : "+0%");

                    HttpHeaders headers = new HttpHeaders();
                    headers.setContentType(MediaType.APPLICATION_JSON);
                    headers.setAccept(Collections.singletonList(MediaType.APPLICATION_OCTET_STREAM));
                    HttpEntity<Map<String, Object>> entity = new HttpEntity<>(params, headers);

                    ResponseEntity<byte[]> response = restTemplate.exchange(
                            pythonServiceUrl + "/stream-synthesize",
                            HttpMethod.POST, entity, byte[].class
                    );

                    if (response.getStatusCode().is2xxSuccessful() && response.getBody() != null) {
                        String base64 = Base64.getEncoder().encodeToString(response.getBody());

                        // ============================
                        // 【关键】带序号存储!前端靠序号知道顺序!
                        // ============================
                        LocalAudioCache.addPiece(cacheKey, i, part, base64);
                    }
                } catch (Exception e) {
                    log.warn("分段合成失败: {}", e.getMessage());
                }
            }
        }, executorService);
        return ResponseEntity.ok(dto);
    }


    /**
     * 内部流式请求Python
     */
    public  Flux<TTSResponseDTO> synthesizeStreamAiNew(TTSRequestDTO request, AiResponseDTO aiResponseDTO) {
        String aiText = aiResponseDTO.getAiText();
        String systemText = aiResponseDTO.getSystemText();
        if (ObjectUtil.isEmpty(systemText)) {
            systemText = StrUtil.EMPTY;
        }
        String voiceTextNew = AdvancedSymbolRemover.removePunctuationHtml(aiText);
        // ============================
        // 【绝对唯一】不会重复、不会覆盖
        // ============================
        String cacheKey = request.getUserid() + "_" + System.nanoTime();
        TTSResponseDTO dto = TTSResponseDTO.builder()
                .code(200)
                .message("success")
                .cacheKey(cacheKey)  // 前端靠这个取自己的分段
                .originalText(request.getText())
                .processedText(aiText)
                .audioText(voiceTextNew)
                .systemText(systemText)
                .voice(request.getVoice())
                .sSceneName(aiResponseDTO.getSSceneName())
                .sMethodName(aiResponseDTO.getSMethodName())
                .sReturnType(aiResponseDTO.getSReturnType())
                .sCommonts(BusinessCode.COMMONTS.getMessage())
                .timestamp(System.currentTimeMillis())
                .textLength((aiText + systemText).length())
                .build();

        boolean voiceless = Boolean.TRUE.equals(request.getVoiceless());
        if (!voiceless || ObjectUtil.isEmpty(voiceTextNew)) {
            return  Flux.just(dto);
        }
        // 平均分割文字
        List<String> textParts = splitTextSmart(voiceTextNew, 30);
        dto.setAudioSize(textParts.size());
        // 异步分段合成
        CompletableFuture.runAsync(() -> {
            for (int i = 0; i < textParts.size(); i++) {
                String part = textParts.get(i);
                if (ObjectUtil.isEmpty(part)) continue;

                try {
                    Map<String, Object> params = new HashMap<>();
                    params.put("text", part);
                    params.put("voice", request.getVoice());
                    params.put("rate", request.getRate() != null ? request.getRate() : "+10%");
                    params.put("volume", request.getVolume() != null ? request.getVolume() : "+0%");

                    HttpHeaders headers = new HttpHeaders();
                    headers.setContentType(MediaType.APPLICATION_JSON);
                    headers.setAccept(Collections.singletonList(MediaType.APPLICATION_OCTET_STREAM));
                    HttpEntity<Map<String, Object>> entity = new HttpEntity<>(params, headers);

                    ResponseEntity<byte[]> response = restTemplate.exchange(
                            pythonServiceUrl + "/stream-synthesize",
                            HttpMethod.POST, entity, byte[].class
                    );

                    if (response.getStatusCode().is2xxSuccessful() && response.getBody() != null) {
                        String base64 = Base64.getEncoder().encodeToString(response.getBody());

                        // ============================
                        // 【关键】带序号存储!前端靠序号知道顺序!
                        // ============================
                        LocalAudioCache.addPiece(cacheKey, i, part, base64);
                    }
                } catch (Exception e) {
                    log.warn("分段合成失败: {}", e.getMessage());
                }
            }
        }, executorService);
        return Flux.just(dto);
    }

    // ==============================================
    // 智能分段:优先按 。!?; , 空格 断开
    // 不会把一句话生硬切断,更自然
    // ==============================================
    private List<String> splitTextSmart(String text, int maxLength) {
        List<String> parts = new ArrayList<>();
        if (text == null || text.isEmpty()) return parts;

        int len = text.length();
        int start = 0;

        while (start < len) {
            int end = Math.min(start + maxLength, len);

            // 如果不是最后一段,寻找最近的断句点
            if (end < len) {
                // 优先按 。!?; 断句
                int splitPos = lastIndexOfAny(text, start, end, '。', '!', '?', ';');
                if (splitPos == -1) {
                    // 其次按 , 逗号
                    splitPos = lastIndexOfAny(text, start, end, ',');
                }
                if (splitPos == -1) {
                    // 最后按空格
                    splitPos = lastIndexOfAny(text, start, end, ' ');
                }
                if (splitPos != -1) {
                    end = splitPos + 1;
                }
            }

            String part = text.substring(start, end).trim();
            if (!part.isEmpty()) {
                parts.add(part);
            }
            start = end;
        }
        return parts;
    }

    // 工具:查找最后出现的符号
    private int lastIndexOfAny(String text, int start, int end, char... chars) {
        for (int i = end - 1; i >= start; i--) {
            for (char c : chars) {
                if (text.charAt(i) == c) {
                    return i;
                }
            }
        }
        return -1;
    }

    public ResponseEntity<InputStreamResource> getVoiceResult(TTSRequestDTO request) {
        try {
            String voiceText = AdvancedSymbolRemover.removePunctuationHtml(request.getText());
            Map<String, Object> pythonRequest = new HashMap<>();
            pythonRequest.put("text", voiceText);
            pythonRequest.put("voice", request.getVoice());
            pythonRequest.put("rate", request.getRate() != null ? request.getRate() : "+0%");
            pythonRequest.put("volume", request.getVolume() != null ? request.getVolume() : "+0%");

            HttpHeaders headers = new HttpHeaders();
            headers.setContentType(MediaType.APPLICATION_JSON);
            headers.setAccept(Arrays.asList(MediaType.APPLICATION_OCTET_STREAM, MediaType.ALL));

            HttpEntity<Map<String, Object>> entity = new HttpEntity<>(pythonRequest, headers);

            ResponseEntity<byte[]> response = restTemplate.exchange(
                    pythonServiceUrl + "/stream-synthesize",
                    HttpMethod.POST,
                    entity,
                    byte[].class
            );

            if (response.getStatusCode() == HttpStatus.OK && response.getBody() != null) {
                InputStream inputStream = new ByteArrayInputStream(response.getBody());
                InputStreamResource resource = new InputStreamResource(inputStream);
                HttpHeaders responseHeaders = new HttpHeaders();
                responseHeaders.setContentType(MediaType.parseMediaType("audio/mpeg"));
                responseHeaders.setContentLength(response.getBody().length);
                responseHeaders.set("Content-Disposition", "inline; filename=\"speech.mp3\"");
                return ResponseEntity.ok().headers(responseHeaders).body(resource);
            }
        } catch (Exception e) {
            return fallbackResponse(request);
        }
        return ResponseEntity.status(HttpStatus.INTERNAL_SERVER_ERROR).build();
    }

    public ResponseEntity<InputStreamResource> quickSynthesize(String text, String voice) {
        TTSRequestDTO request = new TTSRequestDTO();
        request.setText(text);
        request.setVoice(voice);
        return synthesizeStream(request);
    }

    public CompletableFuture<ResponseEntity<InputStreamResource>> synthesizeStreamAsync(TTSRequestDTO request) {
        return CompletableFuture.supplyAsync(() -> synthesizeStream(request), executorService);
    }

    public List<VoiceInfoDTO> getAvailableVoices() {
        try {
            ResponseEntity<Map> response = restTemplate.getForEntity(pythonServiceUrl + "/voices", Map.class);
            if (response.getStatusCode() == HttpStatus.OK && response.getBody() != null) {
                List<Map<String, String>> voicesData = (List<Map<String, String>>) response.getBody().get("voices");
                List<VoiceInfoDTO> voices = new ArrayList<>();
                for (Map<String, String> vd : voicesData) {
                    VoiceInfoDTO vo = new VoiceInfoDTO();
                    vo.setName(vd.get("name"));
                    vo.setLocale(vd.get("locale"));
                    vo.setGender(vd.get("gender"));
                    vo.setDisplayName(vd.get("displayName"));
                    voices.add(vo);
                }
                return voices;
            }
        } catch (Exception e) {
            log.error("获取语音列表失败", e);
        }
        return getDefaultVoices();
    }

    public VoiceInfoDTO getVoiceDetail(String name) {
        return getAvailableVoices().stream().filter(v -> v.getName().equals(name)).findFirst().orElse(null);
    }

    public boolean healthCheck() {
        try {
            ResponseEntity<Map> res = restTemplate.getForEntity(pythonServiceUrl + "/health", Map.class);
            return res.getStatusCode() == HttpStatus.OK && "healthy".equals(res.getBody().get("status"));
        } catch (Exception e) {
            return false;
        }
    }

    public List<ResponseEntity<InputStreamResource>> batchSynthesize(List<TTSRequestDTO> requests) {
        List<ResponseEntity<InputStreamResource>> list = new ArrayList<>();
        for (TTSRequestDTO req : requests) list.add(synthesizeStream(req));
        return list;
    }

    public ResponseEntity<InputStreamResource> synthesizeDirect(TTSRequestDTO request) {
        return synthesizeStream(request);
    }

    public void shutdown() {
        if (executorService != null) executorService.shutdown();
        log.info("Python TTS服务已关闭");
    }

    private ResponseEntity<InputStreamResource> fallbackResponse(TTSRequestDTO request) {
        try {
            TTSRequestDTO req = new TTSRequestDTO();
            req.setText("服务暂时不可用");
            req.setVoice("zh-CN-XiaoxiaoNeural");
            return synthesizeStream(req);
        } catch (Exception e) {
            return ResponseEntity.status(HttpStatus.SERVICE_UNAVAILABLE).body(null);
        }
    }

    private List<VoiceInfoDTO> getDefaultVoices() {
        return Arrays.asList(
                createVoice("zh-CN-XiaoxiaoNeural", "zh-CN", "Female", "晓晓"),
                createVoice("zh-CN-YunyangNeural", "zh-CN", "Male", "云扬")
        );
    }

    private VoiceInfoDTO createVoice(String name, String locale, String gender, String displayName) {
        VoiceInfoDTO v = new VoiceInfoDTO();
        v.setName(name); v.setLocale(locale); v.setGender(gender); v.setDisplayName(displayName);
        return v;
    }
}