package com.supervision.service.impl; import cn.hutool.core.collection.CollUtil; import cn.hutool.core.util.ObjectUtil; import cn.hutool.core.util.RandomUtil; import cn.hutool.core.util.StrUtil; import com.supervision.exception.BusinessException; import com.supervision.model.AskPatientAnswer; import com.supervision.model.AskTemplateQuestionLibrary; import com.supervision.model.DiagnosisQaRecord; import com.supervision.model.Process; import com.supervision.pojo.vo.TalkReqVO; import com.supervision.pojo.vo.TalkResultResVO; import com.supervision.service.AskPatientAnswerService; import com.supervision.service.AskTemplateQuestionLibraryService; import com.supervision.service.ProcessService; import com.supervision.util.*; import com.supervision.service.AskService; import com.supervision.pojo.vo.ActionDTO; import lombok.RequiredArgsConstructor; import lombok.extern.slf4j.Slf4j; import org.springframework.stereotype.Service; import org.springframework.transaction.annotation.Transactional; import org.springframework.web.multipart.MultipartFile; import java.io.IOException; import java.util.List; import java.util.Optional; import java.util.Random; @Slf4j @Service @RequiredArgsConstructor public class AskServiceImpl implements AskService { private final ProcessService processService; private final AskTemplateQuestionLibraryService askTemplateQuestionLibraryService; private final AskPatientAnswerService askPatientAnswerService; @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; } @Override @Transactional(rollbackFor = Exception.class) public TalkResultResVO talk(TalkReqVO 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")); // 调用rasa获取文字内容 String rasaResult = RasaUtil.talkRasa(talkReqVO.getText(), UserUtil.getUser().getId(), process.getPatientId()); // 如果rasa没有识别出来,则返回默认值 if (StrUtil.isBlank(rasaResult)) { // 这里调用京东数字人接口首先根据token获取房间号 String roomId = HumanUtil.queryRoomId(talkReqVO.getRoomKey(), talkReqVO.getRoomToken()); HumanUtil.textDriven("您好,我没有听懂您说什么", roomId); } TalkResultResVO talkResultResVO = new TalkResultResVO(); // 这里校验,rasa回复的结果是不是action // 这里设置的模板,对于action的动作全部是用ancillary_ | tool_进行标记,详情看生成rasa的yml的代码:RasaServiceImpl.generateDomain // ancillary_ | tool_ if (rasaResult.startsWith("ancillary_") || rasaResult.startsWith("tool_")) { log.info("呼出语句:{}", rasaResult); List actionList = StrUtil.split(rasaResult, '_'); if (actionList.size() > 1) { // 在这里给socket回复,设置为动作 talkResultResVO.setActionId(actionList.get(1)); talkResultResVO.setType("ancillary".equals(actionList.get(0)) ? 3 : 2); return talkResultResVO; } } else { String roomId = HumanUtil.queryRoomId(talkReqVO.getRoomKey(), talkReqVO.getRoomToken()); AskTemplateQuestionLibrary library = askTemplateQuestionLibraryService.getById(rasaResult); if (ObjectUtil.isEmpty(library)) { log.info("{}:未从问题库中找到,回答未识别语句", rasaResult); HumanUtil.textDriven("您好,我没有听懂您说什么", roomId); } else { AskPatientAnswer askPatientAnswer = askPatientAnswerService.lambdaQuery().eq(AskPatientAnswer::getPatientId, process.getPatientId()) .eq(AskPatientAnswer::getLibraryQuestionId, library.getId()).last("limit 1").one(); // 如果没有找到回答,去默认回答里面看看有没有 if (ObjectUtil.isEmpty(askPatientAnswer)) { log.info("{}:病历配置的回答:{}:为空,尝试回答默认答案", rasaResult, askPatientAnswer.getId()); // 首先看看default里面是不是存在,如果存在,就从default里面去找 if (CollUtil.isNotEmpty(library.getDefaultAnswer())) { String resText = library.getDefaultAnswer().get(RandomUtil.randomInt(0, library.getDefaultAnswer().size())); HumanUtil.textDriven(resText, roomId); // 保存记录 DiagnosisQaRecord record = new DiagnosisQaRecord(); record.setProcessId(talkReqVO.getProcessId()); record.setAnswerType("default"); // 注意,这里如果有默认回答,回答的结果是默认结果ID record.setAnswerId(library.getId()); record.setQuestion(talkReqVO.getText()); record.setAnswer(resText); record.setCreateUserId(UserUtil.getUser().getId()); record.insert(); log.info("{}:找到了默认答案:{}", rasaResult, talkReqVO.getText()); } else { log.info("{}:没有从默认答案中找到找到默认内容,回复未识别语句", rasaResult); HumanUtil.textDriven("您好,我没有听懂您说什么", roomId); } } else { if (CollUtil.isEmpty(askPatientAnswer.getAnswer())) { log.info("{}:病历配置的回答:{}:为空不为空,但在获取的时候,答案为空,尝试回复默认语句", rasaResult, askPatientAnswer.getId()); if (CollUtil.isNotEmpty(library.getDefaultAnswer())) { String resText = library.getDefaultAnswer().get(RandomUtil.randomInt(0, library.getDefaultAnswer().size())); log.info("{}:病历配置的回答:{}:为空不为空不为空,但在获取的时候,答案为空,开始回复默认语句,默认语句内容:{}", rasaResult, askPatientAnswer.getId(), resText); HumanUtil.textDriven(resText, roomId); // 保存记录 DiagnosisQaRecord record = new DiagnosisQaRecord(); record.setProcessId(talkReqVO.getProcessId()); record.setAnswerType("default"); // 注意,这里如果有默认回答,回答的结果是默认结果ID record.setAnswerId(library.getId()); record.setQuestion(talkReqVO.getText()); record.setAnswer(resText); record.setCreateUserId(UserUtil.getUser().getId()); record.insert(); } else { log.info("{}:病历配置的回答:{}:为空不为空,但在获取的时候,答案为空,但是获取默认语句也为空,那么回复未识别语句", rasaResult, askPatientAnswer.getId()); HumanUtil.textDriven("您好,我没有听懂您说什么", roomId); } } else { String resText = askPatientAnswer.getAnswer().get(RandomUtil.randomInt(0, askPatientAnswer.getAnswer().size())); log.info("{}:找到了病历配置的回答语句:{},回答内容:{}", rasaResult, askPatientAnswer.getId(), resText); HumanUtil.textDriven(resText, roomId); // 保存记录 DiagnosisQaRecord record = new DiagnosisQaRecord(); record.setProcessId(talkReqVO.getProcessId()); record.setAnswerType("patient"); record.setAnswerId(askPatientAnswer.getId()); record.setQuestion(talkReqVO.getText()); record.setAnswer(resText); record.setCreateUserId(UserUtil.getUser().getId()); record.insert(); } } } } talkResultResVO.setType(1); return talkResultResVO; } @Override public String replyVoice() { String text = "测试:这是文字转语音的测试,测试是否OK"; return TtsUtil.ttsTransform(text); } }