virtual-patient/virtual-patient-web/src/main/java/com/supervision/service/impl/AskServiceImpl.java

package com.supervision.service.impl;

import cn.hutool.core.util.ObjectUtil;
import cn.hutool.core.util.StrUtil;
import com.supervision.domain.QaSimilarityQuestionAnswer;
import com.supervision.exception.BusinessException;
import com.supervision.model.Process;
import com.supervision.model.*;
import com.supervision.pojo.vo.TalkVideoReqVO;
import com.supervision.pojo.vo.TalkVideoTtsResultResVO;
import com.supervision.service.*;
import com.supervision.util.AsrUtil;
import com.supervision.util.SimilarityUtil;
import com.supervision.util.TtsUtil;
import com.supervision.util.UserUtil;
import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.springframework.ai.vectorstore.RedisVectorStore;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.stereotype.Service;
import org.springframework.web.multipart.MultipartFile;

import java.util.Optional;

@Slf4j
@Service
@RequiredArgsConstructor
public class AskServiceImpl implements AskService {

    private final ProcessService processService;

    private final AskTemplateQuestionLibraryService askTemplateQuestionLibraryService;

    private final AskPatientAnswerService askPatientAnswerService;

    private final AiService aiService;

    private final MedicalRecService medicalRecService;

    private final DiagnosisAiRecordService diagnosisAiRecordService;

    private final RedisVectorStore redisVectorStore;
    @Value("${threshold:0.7}")
    private String threshold;

    @Override
    public String receiveVoiceFile(MultipartFile file) {
        if (file.getSize() <= 0) {
            throw new BusinessException("语音内容为空");
        }
        // 获取音频对应的文字
        String text = null;
        try {
            text = AsrUtil.asrTransformByBytes(file.getBytes());
        } catch (Exception e) {
            throw new BusinessException("获取语音失败");
        }
        if (StrUtil.isEmpty(text)) {
            throw new BusinessException("语音内容为空");
        }
        return text;
    }


    private void saveQaRecord(String processId, String answerType, String answerId, String question, AskTemplateQuestionLibrary library, String resText) {
        DiagnosisQaRecord record = new DiagnosisQaRecord();
        record.setProcessId(processId);
        record.setAnswerType(answerType);
        record.setAnswerId(answerId);
        if (ObjectUtil.isNotEmpty(library)) {
            record.setQuestionLibraryId(library.getId());
        }
        record.setQuestion(question);
        record.setAnswer(resText);
        record.setCreateUserId(UserUtil.getUser().getId());
        record.insert();
    }

    /**
     * 使用无声视频+语音转文字的形式来做
     *
     * @param talkReqVO 请求
     * @return 返回结果
     */
    @Override
    public TalkVideoTtsResultResVO talkByVideoAndTts(TalkVideoReqVO talkReqVO) {
        // 根据processId找到对应的病人
        Process process = Optional.ofNullable(processService.getById(talkReqVO.getProcessId())).orElseThrow(() -> new BusinessException("未找到诊疗进程"));
        MedicalRec medicalRec = medicalRecService.getById(process.getMedicalRecId());
        Optional<QaSimilarityQuestionAnswer> qaSimilarityQuestionAnswerOptional = SimilarityUtil.talkRedisVectorWithScoreByFirst(talkReqVO.getText());
        TalkVideoTtsResultResVO talkVideoTtsResultResVO = new TalkVideoTtsResultResVO();
        // 如果匹配度没有匹配到任何数据,则走大模型
        if (qaSimilarityQuestionAnswerOptional.isEmpty()) {
            String talk = aiService.talk(talkReqVO.getText(), medicalRec.getMedicalRecordAi());
            talkVideoTtsResultResVO.setAnswerMessage(talk);
            saveAiRecord(process.getId(), talkReqVO.getText(), talkVideoTtsResultResVO.getAnswerMessage());
        } else {
            QaSimilarityQuestionAnswer qaSimilarityQuestionAnswer = qaSimilarityQuestionAnswerOptional.get();
            // 如果阈值过低,也走大模型
            double thresholdValue = Double.parseDouble(threshold);
            if (qaSimilarityQuestionAnswer.getMatchScore() < thresholdValue) {
                log.info("{}:匹配到的结果阈值过低,走大模型回答", qaSimilarityQuestionAnswer);
                String talk = aiService.talk(talkReqVO.getText(), medicalRec.getMedicalRecordAi());
                talkVideoTtsResultResVO.setAnswerMessage(talk);
                saveAiRecord(process.getId(), talkReqVO.getText(), talkVideoTtsResultResVO.getAnswerMessage());
            } else {
                // 如果查到的问题不在问题库中,走大模型回答
                AskTemplateQuestionLibrary library = askTemplateQuestionLibraryService.getById(qaSimilarityQuestionAnswer.getMatchQuestionCode());
                if (ObjectUtil.isEmpty(library)) {
                    log.info("{}:未从问题库中找到,走大模型回答", qaSimilarityQuestionAnswer);
                    String talk = aiService.talk(talkReqVO.getText(), medicalRec.getMedicalRecordAi());
                    talkVideoTtsResultResVO.setAnswerMessage(talk);
                    saveAiRecord(process.getId(), talkReqVO.getText(), talkVideoTtsResultResVO.getAnswerMessage());
                } else {
                    // 根据问题找这个病历配置的答案
                    AskPatientAnswer askPatientAnswer = askPatientAnswerService.lambdaQuery().eq(AskPatientAnswer::getMedicalId, process.getMedicalRecId())
                            .eq(AskPatientAnswer::getLibraryQuestionId, library.getId()).last("limit 1").one();
                    // 如果找到了,就走病历配置的内容回答
                    if (ObjectUtil.isNotEmpty(askPatientAnswer)) {
                        String resText = askPatientAnswer.getAnswer();
                        log.info("{}:找到了病历配置的回答语句:{},回答内容:{},走病历回答", qaSimilarityQuestionAnswer.getMatchQuestionCode(), askPatientAnswer.getId(), resText);
                        talkVideoTtsResultResVO.setAnswerMessage(resText);
                        // 保存记录到问答记录表
                        saveQaRecord(talkReqVO.getProcessId(), "patient", askPatientAnswer.getId(), talkReqVO.getText(), library, resText);
                    } else {
                        // 如果问题的答案没有配置,还是走大模型的回答
                        log.info("{}:病历配置,从AskPatientAnswer中未找到回答结果,走大模型", qaSimilarityQuestionAnswer.getMatchQuestionCode());
                        String talk = aiService.talk(talkReqVO.getText(), medicalRec.getMedicalRecordAi());
                        talkVideoTtsResultResVO.setAnswerMessage(talk);
                        saveAiRecord(process.getId(), talkReqVO.getText(), talkVideoTtsResultResVO.getAnswerMessage());
                    }
                }
            }
        }
        talkVideoTtsResultResVO.setVoiceBase64(TtsUtil.ttsTransform(talkVideoTtsResultResVO.getAnswerMessage()));
        return talkVideoTtsResultResVO;
    }

    /**
     * 保存到AI对话记录表中,方便后期对AI对话记录再进行分类
     */
    private void saveAiRecord(String processId, String question, String answer) {
        DiagnosisAiRecord diagnosisAiRecord = new DiagnosisAiRecord();
        diagnosisAiRecord.setProcessId(processId);
        diagnosisAiRecord.setQuestion(question);
        diagnosisAiRecord.setAnswer(answer);
        diagnosisAiRecord.setCreateUserId(UserUtil.getUser().getId());
        diagnosisAiRecord.setUpdateUserId(UserUtil.getUser().getId());
        diagnosisAiRecordService.save(diagnosisAiRecord);

    }
}