big-model-java/slibra-admin/src/main/java/com/slibra/web/controller/business/GRPCController.java

package com.slibra.web.controller.business;

import com.alibaba.fastjson2.JSONObject;
import com.alibaba.fastjson2.JSONWriter;
import com.alibaba.fastjson2.JSON;
import com.google.protobuf.ByteString;
import com.slibra.business.domain.*;
import com.slibra.business.mapper.*;
import com.slibra.business.req.*;
import com.slibra.business.res.WorkOrderRes;
import com.slibra.business.service.IFrontService;
import com.slibra.common.DecimalUtils;
import com.slibra.common.config.BigModelConfig;
import com.slibra.common.constant.MyConstants;
import com.slibra.common.core.controller.BaseController;
import com.slibra.common.core.domain.DecisionReq;
import com.slibra.common.core.domain.TXinyiDaily;
import com.slibra.common.enums.BusinessEnum;
import com.slibra.common.exception.ServiceException;
import com.slibra.common.utils.DateUtils;
import com.slibra.common.utils.SecurityUtils;
import com.slibra.common.utils.StringUtils;
import com.slibra.common.utils.format.WaterFormat;
import com.slibra.common.utils.ip.IpUtils;
import com.slibra.common.utils.uuid.IdUtils;
import io.grpc.ManagedChannel;
import io.grpc.ManagedChannelBuilder;
import lombok.extern.slf4j.Slf4j;
import org.pytorch.serve.grpc.inference.InferenceAPIsServiceGrpc;
import org.pytorch.serve.grpc.inference.PredictionResponse;
import org.pytorch.serve.grpc.inference.PredictionsRequest;
import org.springframework.beans.BeanUtils;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.util.CollectionUtils;
import org.springframework.web.bind.annotation.*;

import javax.servlet.http.HttpServletResponse;
import java.io.IOException;
import java.io.OutputStream;
import java.math.BigDecimal;
import java.math.RoundingMode;
import java.util.*;

import static com.slibra.common.constant.MyConstants.*;
import static com.slibra.common.enums.BusinessEnum.BigModelBizEnum.DECISION_REPORT;
import static com.slibra.common.enums.BusinessEnum.WarningCategoryEnum.*;
import static com.slibra.common.enums.BusinessEnum.WarningCategoryEnum.CS_ZL;

/**
 * 告警相关
 */
@RestController
@RequestMapping("/grpc")
@Slf4j
public class GRPCController extends BaseController {


    @Autowired
    private TXinyiChatRecordMapper chatRecordMapper;

    @Autowired
    private TXinyiIndustryMapper xinyiIndustryMapper;

    @Autowired
    private TXinyiDailyMapper xinyiDailyMapper;

    @Autowired
    private TXinyiChatRecordMapper xinyiChatRecordMapper;

    @Autowired
    private TXinyiWarningRecordMapper xinyiWarningRecordMapper;

    @Autowired
    private IFrontService frontService;

    @Autowired
    private TXinyiNormConfigMapper xinyiNormConfigMapper;

    @Autowired
    private BigModelConfig bigModelConfig;


    /**
     *
     * get请求测试决策输出
     *
     * @param response
     */
    @GetMapping(value = "/test/aaa")
    public void decisionStreamTest(HttpServletResponse response)
//    public void decisionStream(HttpServletResponse response,  ChatReq chatReq)
    {
        log.info("进入了调⽤大模型决策接口");
        ChatReq chatReq = new ChatReq();
        HashMap<String, Object> map = new HashMap<>();
        map.put("2_2", "正常");
        map.put("4_25", "没有");
        map.put("2_28", "否");
        map.put("6_3", "超标");
        chatReq.setFeedback(JSON.toJSONString(map));
        chatReq.setCategory("出水氨氮");
        chatReq.setWarningId("782");
        chatReq.setSimulate("{}");
        // 获取输出流
        OutputStream outputStream = null;
        ManagedChannel channel = null;
        //response.setContentType("text/plain");
        response.setContentType("text/event-stream");
        response.setCharacterEncoding("utf-8");
        //2024年5月29日14:15:58 新增逻辑，判断报警状态是否已经结束了，如果结束了就直接模拟一个report返回给前端，不再调用大模型
        String warningId = chatReq.getWarningId();
        if(StringUtils.isBlank(warningId))
            throw new ServiceException("请输入正确的告警id");
        TXinyiWarningRecord xinyiWarningRecord = this.xinyiWarningRecordMapper.selectTXinyiWarningRecordById(Long.parseLong(warningId));
        if(Objects.isNull(xinyiWarningRecord))
            throw new ServiceException("请输入正确的告警id,没有查询到告警信息");
        if(1 == xinyiWarningRecord.getStatus() || 2 == xinyiWarningRecord.getStatus()){
            //已经关闭的报警，不允许再次点击报警了
            String message = this.buildMsg();
            try {
                outputStream = response.getOutputStream();
                outputStream.write(message.getBytes());
                outputStream.flush();
                return;//输出完提示信息就结束
            } catch (IOException e) {
                throw new RuntimeException(e);
            }
        }
        StringBuilder sb = new StringBuilder();
        //大模型结果 放入一个结合中
        List<String> resultData = new ArrayList<>();
        //决策和问答不一样 没有历史的概念 所以sessionId都是新的  次数都是1
        String sessionId = IdUtils.simpleUUID();
        String feedback = chatReq.getFeedback();
        String simulate = chatReq.getSimulate();
        int type = 3;//仿真预测
        if(StringUtils.isBlank(simulate) || "{}".equals(simulate))
            type = 1;//决策
        //决策请求的业务参数
        List<DecisionReq> decisionReqs = getDecisionReqs();
//        String rows = JSON.toJSONString(decisionReqs, JSONWriter.Feature.WriteNulls);
        boolean needAdd = true;//标识变量是否可以保存
        String dataJson = "";
        try {
            channel = ManagedChannelBuilder.forAddress(bigModelConfig.getIp(), bigModelConfig.getPort())
                    .usePlaintext()
                    .build();
            InferenceAPIsServiceGrpc.InferenceAPIsServiceBlockingStub stub = InferenceAPIsServiceGrpc.newBlockingStub(channel);
//            dataJson = "{\"bot_id\":\"b00001\",\"exp_id\":\"721\",\"norm\":\"" + chatReq.getCategory() + "\",\"feedback\":" + feedback + ",\"simulate\":" + simulate + ",\"session_id\":" + "\"" + sessionId + "\"" + ",\"generate_args\":{\"max_new_tokens\":1024,\"max_length\":4096,\"num_beams\":1,\"do_sample\":true,\"top_p\":0.7,\"temperature\":0.95},\"extra\":{\"rows\":" +  rows + "}}";
            //2024年6月24日17:59:17  优化，不再拼接JSON字符串
            dataJson = buildBigModelReqForDecision(chatReq, feedback, simulate, sessionId, decisionReqs, xinyiWarningRecord, chatReq.getTopP(), chatReq.getTemperature());
//            log.info("请求大模型的决策的参数为{}", dataJson);
            PredictionsRequest request = PredictionsRequest.newBuilder()
                    .setModelName("slibra_bot")
                    .putInput("method", ByteString.copyFrom("decision_stream", "utf-8"))//推理
                    .putInput("data", ByteString.copyFrom(dataJson, "utf-8"))
                    .buildPartial();
            outputStream = response.getOutputStream();
            Iterator<PredictionResponse> predictions = stub.streamPredictions(request);
            int i = 0 ;
            while (predictions.hasNext()) {
                String responseStr = predictions.next().getPrediction().toStringUtf8();
//                log.info("决策流式返回的结果是{}", responseStr);
                if(StringUtils.isBlank(responseStr)){
                    log.info("大模型返回的流式决策内容存在空的值，跳过此次输出");
                    continue;
                }
                String message = JSON.parseObject(responseStr).getString("message");
                //2024年5月25日16:37:16  按照大模型返回的类型解析数据
                String biz = JSON.parseObject(responseStr).getString("biz");
//                String message = JSON.parseObject(responseStr).getString("message");
                if(BusinessEnum.BigModelBizEnum.OK.getCode().equals(biz)){
                    log.info("结尾语句并且是非JSON，无需处理，返回数据为{}", responseStr);
                    //结束语句也流式输出，但是并不记录下来  2024年5月24日11:15:23 也不返回前端
                }else if(BusinessEnum.BigModelBizEnum.DECISION_DEBUGGER.getCode().equals(biz)){
                    log.info("中间过程，目前只打印日志，不记录数据，也不返回给前端，返回数据为{}", responseStr);
                    //结束语句也流式输出，但是并不记录下来  2024年5月24日11:15:23 也不返回前端
                    //2024年6月23日14:55:19 如果大模型返回error了，不保存记录，并且提示一句错误语
                }else if(BusinessEnum.BigModelBizEnum.ERROR.getCode().equalsIgnoreCase(biz)){
                    log.info("调用大模型的时候，返回的是ERROR，返回数据为{}", responseStr);
                    needAdd = false;
                    //返回的是error 给前端返回一句话
                    try {
                        String errMsg = this.buildErrMsg();
                        outputStream.write(errMsg.getBytes());
                        outputStream.flush();
                    } catch (IOException ex) {
                        throw new RuntimeException(ex);
                    }
                } else{//其他 要么alert 要么出的报告
//                    if(StringUtils.isBlank(message)){
//                        log.info("×××××××××××××××××××××××××××为空的数据暂时不返回×××××××××××××××××××××××××××");
//                    }else {
//                    log.info("返回给前端的数据是{}", responseStr);
                    resultData.add(responseStr);
                    responseStr = responseStr + (i++) + "\n";
                    outputStream.write(responseStr.getBytes());
                    outputStream.flush();
                    //2024年7月12日17:47:08 加个打印，处理只要report类型的拼接结果
                    if(BusinessEnum.BigModelBizEnum.DECISION_REPORT.getCode().equalsIgnoreCase(biz)){
                        sb.append(message);
                    }
//                    }
                }
            }
        } catch (Exception e) {
//            throw new RuntimeException(e);
            log.error("处理大模型推理异常，异常信息为{}", JSON.toJSONString(e));
            //出现异常 给前端返回一句话
            try {
                outputStream = response.getOutputStream();
                String errMsg = this.buildErrMsg();
                outputStream.write(errMsg.getBytes());
                outputStream.flush();
            } catch (IOException ex) {
                throw new RuntimeException(ex);
            }
        } finally {
//            log.info("sessionId是{}\n决策最终要保存的数据是{}", sessionId, JSON.toJSONString(resultData));
//            log.info("~~~~~~~~~~~~~~~决策最终返回的报告数据是{}", sb.toString());
            //保存聊天记录
            //将问答更新到数据库中
            needAdd = false;
            if(needAdd)
                addChatRecord(chatReq, sessionId, type, warningId, dataJson, resultData);
            // 关闭输出流
            try {
                outputStream.close();
            } catch (IOException e) {
                throw new RuntimeException(e);
            }finally {
                channel.shutdown();
            }
        }
    }


    /**
     * 调⽤大模型决策接口 + 仿真预测
     * @return
     */
    @PostMapping(value = "/decisionStream")
    public void decisionStream(HttpServletResponse response, @RequestBody ChatReq chatReq)
//    public void decisionStream(HttpServletResponse response,  ChatReq chatReq)
    {
        log.info("进入了调⽤大模型决策接口");
        // 获取输出流
        OutputStream outputStream = null;
        ManagedChannel channel = null;
        //response.setContentType("text/plain");
        response.setContentType("text/event-stream");
        response.setCharacterEncoding("utf-8");
        //2024年5月29日14:15:58 新增逻辑，判断报警状态是否已经结束了，如果结束了就直接模拟一个report返回给前端，不再调用大模型
        String warningId = chatReq.getWarningId();
        if(StringUtils.isBlank(warningId))
            throw new ServiceException("请输入正确的告警id");
        TXinyiWarningRecord xinyiWarningRecord = this.xinyiWarningRecordMapper.selectTXinyiWarningRecordById(Long.parseLong(warningId));
        if(Objects.isNull(xinyiWarningRecord))
            throw new ServiceException("请输入正确的告警id,没有查询到告警信息");
        if(1 == xinyiWarningRecord.getStatus() || 2 == xinyiWarningRecord.getStatus()){
            //已经关闭的报警，不允许再次点击报警了
            String message = this.buildMsg();
            try {
                outputStream = response.getOutputStream();
                outputStream.write(message.getBytes());
                outputStream.flush();
                return;//输出完提示信息就结束
            } catch (IOException e) {
                throw new RuntimeException(e);
            }
        }
//        StringBuilder sb = new StringBuilder();
        //大模型结果 放入一个结合中
        List<String> resultData = new ArrayList<>();
        //决策和问答不一样 没有历史的概念 所以sessionId都是新的  次数都是1
        String sessionId = IdUtils.simpleUUID();
        String feedback = chatReq.getFeedback();
        String simulate = chatReq.getSimulate();
        int type = 3;//仿真预测
        if(StringUtils.isBlank(simulate) || "{}".equals(simulate))
            type = 1;//决策
        //决策请求的业务参数
        List<DecisionReq> decisionReqs = getDecisionReqs();
//        String rows = JSON.toJSONString(decisionReqs, JSONWriter.Feature.WriteNulls);
        boolean needAdd = true;//标识变量是否可以保存
        String dataJson = "";
        try {
            channel = ManagedChannelBuilder.forAddress(bigModelConfig.getIp(), bigModelConfig.getPort())
                    .usePlaintext()
                    .build();
            InferenceAPIsServiceGrpc.InferenceAPIsServiceBlockingStub stub = InferenceAPIsServiceGrpc.newBlockingStub(channel);
//            dataJson = "{\"bot_id\":\"b00001\",\"exp_id\":\"721\",\"norm\":\"" + chatReq.getCategory() + "\",\"feedback\":" + feedback + ",\"simulate\":" + simulate + ",\"session_id\":" + "\"" + sessionId + "\"" + ",\"generate_args\":{\"max_new_tokens\":1024,\"max_length\":4096,\"num_beams\":1,\"do_sample\":true,\"top_p\":0.7,\"temperature\":0.95},\"extra\":{\"rows\":" +  rows + "}}";
            //2024年6月24日17:59:17  优化，不再拼接JSON字符串
            dataJson = buildBigModelReqForDecision(chatReq, feedback, simulate, sessionId, decisionReqs, xinyiWarningRecord, chatReq.getTopP(), chatReq.getTemperature());
//            log.info("请求大模型的决策的参数为{}", dataJson);
            PredictionsRequest request = PredictionsRequest.newBuilder()
                    .setModelName("slibra_bot")
                    .putInput("method", ByteString.copyFrom("decision_stream", "utf-8"))//推理
                    .putInput("data", ByteString.copyFrom(dataJson, "utf-8"))
                    .buildPartial();
            outputStream = response.getOutputStream();
            Iterator<PredictionResponse> predictions = stub.streamPredictions(request);
            while (predictions.hasNext()) {
                String responseStr = predictions.next().getPrediction().toStringUtf8();
//                log.info("决策流式返回的结果是{}", responseStr);
                if(StringUtils.isBlank(responseStr)){
                    log.info("大模型返回的流式决策内容存在空的值，跳过此次输出");
                    continue;
                }
//                String message = JSON.parseObject(responseStr).getString("message");
                //2024年5月25日16:37:16  按照大模型返回的类型解析数据
                String biz = JSON.parseObject(responseStr).getString("biz");
//                String message = JSON.parseObject(responseStr).getString("message");
                if(BusinessEnum.BigModelBizEnum.OK.getCode().equals(biz)){
                    log.info("结尾语句并且是非JSON，无需处理，返回数据为{}", responseStr);
                    //结束语句也流式输出，但是并不记录下来  2024年5月24日11:15:23 也不返回前端
                }else if(BusinessEnum.BigModelBizEnum.DECISION_DEBUGGER.getCode().equals(biz)){
                    log.info("中间过程，目前只打印日志，不记录数据，也不返回给前端，返回数据为{}", responseStr);
                    //结束语句也流式输出，但是并不记录下来  2024年5月24日11:15:23 也不返回前端
                //2024年6月23日14:55:19 如果大模型返回error了，不保存记录，并且提示一句错误语
                }else if(BusinessEnum.BigModelBizEnum.ERROR.getCode().equalsIgnoreCase(biz)){
                    log.info("调用大模型的时候，返回的是ERROR，返回数据为{}", responseStr);
                    needAdd = false;
                    //返回的是error 给前端返回一句话
                    try {
                        String errMsg = this.buildErrMsg();
                        outputStream.write(errMsg.getBytes());
                        outputStream.flush();
                    } catch (IOException ex) {
                        throw new RuntimeException(ex);
                    }
                } else{//其他 要么alert 要么出的报告
//                    sb.append(responseStr);
                    //2024年7月13日13:48:48  空的数据也返回，否则样式会有问题（当时加上这个是为了前端正常解析，否则他那里一次接受多个）
                    /*if(StringUtils.isBlank(message)){
                        log.info("×××××××××××××××××××××××××××为空的数据暂时不返回×××××××××××××××××××××××××××");
                    }else {
                        resultData.add(responseStr);
                        outputStream.write(responseStr.getBytes());
                        outputStream.flush();
                    }*/
                    resultData.add(responseStr);
                    outputStream.write(responseStr.getBytes());
                    outputStream.flush();
                }
            }
        } catch (Exception e) {
//            throw new RuntimeException(e);
            log.error("处理大模型推理异常，异常信息为{}", JSON.toJSONString(e));
            //出现异常 给前端返回一句话
            try {
                outputStream = response.getOutputStream();
                String errMsg = this.buildErrMsg();
                outputStream.write(errMsg.getBytes());
                outputStream.flush();
            } catch (IOException ex) {
                throw new RuntimeException(ex);
            }
        } finally {
//            log.info("sessionId是{}\n决策最终要保存的数据是{}", sessionId, JSON.toJSONString(resultData));
            //保存聊天记录
            //将问答更新到数据库中
            if(needAdd)
                addChatRecord(chatReq, sessionId, type, warningId, dataJson, resultData);
            // 关闭输出流
            try {
                outputStream.close();
            } catch (IOException e) {
                throw new RuntimeException(e);
            }finally {
                channel.shutdown();
            }
        }
    }

    private String buildBigModelReqForDecision(ChatReq chatReq, String feedback, String simulate, String sessionId, List<DecisionReq> decisionReqs, TXinyiWarningRecord xinyiWarningRecord, Double topP, Double temperature) {
        PolicyReq policyReq = new PolicyReq();
        //2024年7月11日17:57:53 因为化验室的改了  但是 调用决策还得用原来的几个值
        String category = xinyiWarningRecord.getCategory();
        if(ROBOT_XSY_1.getCode().equalsIgnoreCase(category)){
            category = CS_ZD.getCode();
        } else if (ROBOT_XSY_2.getCode().equalsIgnoreCase(category)) {
            category = CS_ZD.getCode();
        }else if (ROBOT_ECCZLSY.getCode().equalsIgnoreCase(category)) {
            category = CS_ZL.getCode();
        }
        policyReq.setNorm(category);
//        policyReq.setNorm(chatReq.getCategory());//2024年7月12日16:23:24  因为有转义。。。
        policyReq.setFeedback(StringUtils.isBlank(feedback) ? null : JSON.parseObject(feedback, Map.class));
        policyReq.setSimulate(StringUtils.isBlank(simulate) ? null : JSON.parseObject(simulate, Map.class));
        policyReq.setSessionId(sessionId);
        //2024年7月5日13:24:10 temperature做区分
        GenerateArgs generateArgs = new GenerateArgs();
        generateArgs.setTemperature(Objects.isNull(temperature) ? bigModelConfig.getTemperature() : temperature);
        generateArgs.setTopP(Objects.isNull(topP) ? bigModelConfig.getTopP() : topP);
        policyReq.setGenerateArgs(generateArgs);
        HashMap<String, Object> map = new HashMap<>();
        map.put("rows", decisionReqs);
        //2024年6月25日14:16:05 增加报警是管控值报警还是标准值报警
        if(WARNING_LEVEL_ONE.equals(xinyiWarningRecord.getLevel()) || WARNING_LEVEL_TWO.equals(xinyiWarningRecord.getLevel()))
            map.put("source", "bzz");
        else
            map.put("source", "gkz");
        policyReq.setExtra(map);
        return JSON.toJSONString(policyReq, JSONWriter.Feature.WriteNulls);
    }

    private void addChatRecord(ChatReq chatReq, String sessionId, int type, String warningId, String question, List<String> resultData) {
        chatReq.setSessionId(sessionId);
        chatReq.setType(type);//类型（0问答 1决策 2本地 3仿真预测）
        chatReq.setModule(3);//0=专家问答,1=智能工单,2=智能体助手,3.告警
//            String showVal = this.buildShowValue(tXinyiWarningRecord, tXinyiIndustry, normConfig);
//            chatReq.setShowVal(feedback);//前端展示的数据和提问的数据不一致
        //如果主动调用决策  showVal应该是最新的那条历史记录对应的数据
        List<TXinyiChatRecord> tXinyiChatRecords = this.xinyiChatRecordMapper.selectTXinyiChatRecordList(TXinyiChatRecord.builder().warningId(warningId).build());
        if(!CollectionUtils.isEmpty(tXinyiChatRecords))
            chatReq.setShowVal(tXinyiChatRecords.get(0).getShowVal());
        chatReq.setQuestion(question);
        chatReq.setAnswer(JSON.toJSONString(resultData));
        chatReq.setWarningId(warningId);
        chatReq.setCounts(1);//问答次数
        String userId = SecurityUtils.getUserId().toString();
        String username = SecurityUtils.getUsername();
        chatReq.setUserId(userId);
        chatReq.setCreateBy(username);
        chatReq.setCreateTime(DateUtils.getNowDate());
        this.xinyiChatRecordMapper.insertTXinyiChatRecord(chatReq);
    }

    private List<DecisionReq> getDecisionReqs() {
        //List<HashMap<String, Object>> list = this.xinyiIndustryMapper.selectLast10RecordsForDecision();
        //2024年5月21日15:23:07 这里不能用关联查询处理，日报要获取最新的一条而不是今日的数据。
        List<DecisionReq> decisionReqs = this.xinyiIndustryMapper.selectLast10RecordsForDecisionOnlyIndustry();
        if(!CollectionUtils.isEmpty(decisionReqs)){
            //处理日报数据
            TXinyiDaily daily = this.xinyiDailyMapper.selectNewestData();

            for (DecisionReq decisionReq : decisionReqs) {
                if(!Objects.isNull(daily)){
                    WaterFormat.getWaterDecimationData(decisionReq, daily);
                }
            }
        }

        return decisionReqs;
    }

    private String buildErrMsg() {
        JSONObject jsonObject = new JSONObject();
        jsonObject.put("biz", DECISION_REPORT.getCode());
        jsonObject.put("message", "大模型决策方案生成有点问题，请稍后再试");
        return JSON.toJSONString(jsonObject);
    }

    private String buildMsg() {
        JSONObject jsonObject = new JSONObject();
        jsonObject.put("biz", DECISION_REPORT.getCode());
        jsonObject.put("message", "此报警已经关闭了，无法生成决策方案");
        return JSON.toJSONString(jsonObject);
    }


    /**
     * RAG+⼤模型的调⽤参数
     * 2024年6月17日09:40:38 工单新增 自定义工单处理
     * @return
     */
    @PostMapping(value = "/inferStreamRag")
    public void inferStreamRag(HttpServletResponse response, @RequestBody ChatReq chatReq) {
//    public void inferStreamRag(HttpServletResponse response, ChatReq chatReq) {
        log.info("进入了调⽤RAG+⼤模型的调⽤参数");
        // 获取输出流
        OutputStream outputStream = null;
        ManagedChannel channel = null;
//        response.setContentType("text/plain");
        response.setContentType("text/event-stream");
        response.setCharacterEncoding("utf-8");
        //请求参数
        Integer module = chatReq.getModule();//来自那个模块
        Date reportDate = chatReq.getReportDate();//如果传过值来了 代表的是工单类型的问答
        String timeBegin = chatReq.getTimeBegin();
        String timeEnd = chatReq.getTimeEnd();
        if((Objects.isNull(reportDate) && StringUtils.isBlank(timeBegin) && StringUtils.isBlank(timeEnd)) && module == 1){//工单 必须要输入日期
            //智能工单需要传入一个时间的参数
            try {
                outputStream = response.getOutputStream();
                outputStream.write(CHAT_GONGDAN_1_ERROR_MSG.getBytes());
                outputStream.flush();
            } catch (IOException e) {
                throw new RuntimeException(e);
            }
            return;
        }
        StringBuilder sb = new StringBuilder();
        String sessionId = chatReq.getSessionId();
        int isStrong = Objects.isNull(chatReq.getIsStrong()) ? 0 : chatReq.getIsStrong();
        boolean tools = true;//问答因为不确认是否走工具，所以传true; 但是工单一定是不用工具的,传false
        boolean useRag = true;//只有问答才传true，其他默认都false
        //如果是工单，需要特殊处理一下showVal和question
        if(1 == module){
            if(StringUtils.isBlank(timeBegin) && StringUtils.isBlank(timeEnd)){//按天生成工单
                //获取前一天的日期
                Date beforeYesterday = DateUtils.plusDate(-1, reportDate);
                //先用日期获取当天和前一天的数据，如果获取不到，则提示错误信息
                String date = DateUtils.parseDateToStr(DateUtils.YYYY_MM_DD, reportDate);
                String dateBefore = DateUtils.parseDateToStr(DateUtils.YYYY_MM_DD, beforeYesterday);
                chatReq.setShowVal(GONGDAN_TITLE.replace("#{0}", date));//处理展示的标题
                String currentDate = DateUtils.parseDateToStr(DateUtils.YYYYMMDD_TS, reportDate);
                String earlyDate = DateUtils.parseDateToStr(DateUtils.YYYYMMDD_TS, beforeYesterday);
                List<TXinyiDaily> tXinyiDailiesNow = this.xinyiDailyMapper.selectTXinyiDailyList(TXinyiDaily.builder().testDate(currentDate).build());
                List<TXinyiDaily> tXinyiDailiesBefore = this.xinyiDailyMapper.selectTXinyiDailyList(TXinyiDaily.builder().testDate(earlyDate).build());
                if(CollectionUtils.isEmpty(tXinyiDailiesNow) || CollectionUtils.isEmpty(tXinyiDailiesBefore)){
                    //没有查询到数据
                    try {
                        outputStream = response.getOutputStream();
                        outputStream.write(CHAT_GONGDAN_2_ERROR_MSG.getBytes());
                        outputStream.flush();
                    } catch (IOException e) {
                        throw new RuntimeException(e);
                    }
                    return;
                }
                //如果查询到了 拼装数据
                //2024年6月25日19:11:49  prompt优化
                chatReq.setQuestion(this.buildGDQuestionNew(date, dateBefore, tXinyiDailiesNow.get(0), tXinyiDailiesBefore.get(0)));
            }else{//自定义工单
                chatReq.setShowVal(GONGDAN_TITLE_CUSTOM.replace("#{0}", timeBegin).replace("#{1}", timeEnd));//处理展示的标题
                WorkOrderReq workOrderReq = new WorkOrderReq();
                BeanUtils.copyProperties(chatReq, workOrderReq);
                //拿到数据
                List<WorkOrderRes> workOrderRes = frontService.customWorkOrder(workOrderReq);
                //品种prompt
                String question = this.buildGDQuestionCustom(workOrderRes, workOrderReq);
                //2024年6月23日17:21:58  判断问题的长度，如果长度大于配置的值（5000）,提示一句话
                if(question.length() > MAX_QUESTION_LENGTH){
                    log.info("*************自定义工单超长了，组装完的参数为{}", question);
                    try {
                        outputStream = response.getOutputStream();
                        outputStream.write(CHAT_GONGDAN_CUSTOM_ERROR_MSG.getBytes());
                        outputStream.flush();
                    } catch (IOException e) {
                        throw new RuntimeException(e);
                    }
                    return;
                }
                chatReq.setQuestion(question);
                //2024年6月20日16:48:08  如果是自定义工单，需要处理图表 放到remark中
                chatReq.setRemark(JSON.toJSONString(frontService.customWorkOrderHandleByData(workOrderReq, workOrderRes), JSONWriter.Feature.WriteNulls));
            }
            isStrong = 1;
            tools = false;
            useRag = false;
        }
        String ipAddr = IpUtils.getIpAddr();//获取用户的ip地址 传给大模型
        int counts = 1;//默认是第一次
        List<String> historyDates = new ArrayList<>();
        //查询历史数据，放入集合中
        if(StringUtils.isBlank(sessionId))
            sessionId= IdUtils.simpleUUID();//第一次
        else{
            //通过sessionId获取所有的问答记录
            List<TXinyiChatRecord> chatRecords = this.chatRecordMapper.selectTXinyiChatRecordList(TXinyiChatRecord.builder().sessionId(sessionId).build());
            if(!CollectionUtils.isEmpty(chatRecords)){
                for (TXinyiChatRecord chatRecord : chatRecords) {
                    historyDates.add(chatRecord.getQuestion());
                    historyDates.add(chatRecord.getAnswer());
                }
                //问答次数增加
                counts = chatRecords.size() + 1;
            }
        }
        //将新的问题放入集合中
        historyDates.add(chatReq.getQuestion());
        try {
            channel = ManagedChannelBuilder.forAddress(bigModelConfig.getIp(), bigModelConfig.getPort())
                    .usePlaintext()
                    .build();
            InferenceAPIsServiceGrpc.InferenceAPIsServiceBlockingStub stub = InferenceAPIsServiceGrpc.newBlockingStub(channel);
//            String dataJson = "{\"bot_id\":\"721\",\"exp_id\":\"721\",\"session_id\":\"" + sessionId + "\",\"use_rag\":\"true\",\"prompt\":\"你是LibraAI水务大模型，由红杉天枰开发的水务垂直大语言模型，能够提供水务行业专家问答、智能决策、报表分析、智能工单管理等一系列功能，作为水务人的AI助手，你会竭尽全力帮助我处理工作问题。\",\"history_dia\":" + JSON.toJSONString(historyDates) + ",\"generate_args\":{\"max_new_tokens\":2048,\"max_length\":4096,\"num_beams\":1,\"do_sample\":true,\"top_p\":0.7,\"temperature\":0.95},\"extra\":{ \"ip_address\": \"" + ipAddr  + "\" },\"strengthen\":" + (isStrong == 1) + "}";
            //2024年6月25日18:12:23 优化，不再使用拼接JSON字符串
            String dataJson = buildBigModelReqForChat(sessionId, historyDates, ipAddr, isStrong, chatReq.getTopP(), chatReq.getTemperature(), tools, useRag);
//            log.info("请求大模型的问答参数为{}", dataJson);
            PredictionsRequest request = PredictionsRequest.newBuilder()
                    .setModelName("slibra_bot")
                    .putInput("method", ByteString.copyFrom("infer_stream", "utf-8"))//推理
                    .putInput("data", ByteString.copyFrom(dataJson, "utf-8"))
                    .buildPartial();
            outputStream = response.getOutputStream();
            Iterator<PredictionResponse> predictions = stub.streamPredictions(request);
            //将结果记录到问答表
            while (predictions.hasNext()) {
                String responseStr = predictions.next().getPrediction().toStringUtf8();
//                log.info("大模型问答返回的原始结果为{}", responseStr);
                responseStr = JSON.parseObject(responseStr).getString("message");
                //2024年7月13日14:30:19 为空字符串的（实际可能是\n这种的）也返回前端，否则样式有问题
                if("complete".equals(responseStr) || Objects.isNull(responseStr)){
//                    System.out.println("结尾语句并且是非JSON，无需处理");
                    log.info("返回的结果message为{},无需再次处理", responseStr);
                    //结束语句也流式输出，但是并不记录下来  2024年5月24日11:15:23 也不返回前端
                }else{
                    sb.append(responseStr);
                    outputStream.write(responseStr.getBytes());
                    outputStream.flush();
                }
            }
            //将问答更新到数据库中
            chatReq.setSessionId(sessionId);
            chatReq.setAnswer(sb.toString());
            chatReq.setType(0);//0问答 1决策 2本地 3仿真预测
            chatReq.setModule(module);//0专家问答 1智能工单 2智能体助手 3告警 4简报
            //2024年5月28日10:58:02 由于部分问题 展示的和调用大模型的不一样，所以这个由前端传过来
//            chatReq.setShowVal(question);
            chatReq.setCounts(counts);//问答次数
            String userId = SecurityUtils.getUserId().toString();
            String username = SecurityUtils.getUsername();
            chatReq.setUserId(userId);
            chatReq.setCreateBy(username);
            chatReq.setCreateTime(DateUtils.getNowDate());
            this.chatRecordMapper.insertTXinyiChatRecord(chatReq);
            outputStream.write((DEFAULT_ID_IDENTIFIER + chatReq.getId()).getBytes());
            outputStream.flush();
        } catch (IOException e) {
            throw new RuntimeException(e);
        } finally {
            // 关闭输出流
            try {
                outputStream.close();
            } catch (IOException e) {
                throw new RuntimeException(e);
            }finally {
                channel.shutdown();
            }
        }

//        return AjaxResult.success("ok");
    }

    private String buildBigModelReqForChat(String sessionId, List<String> historyDates, String ipAddr, int isStrong, Double topP, Double temperature, boolean tools, boolean useRag) {
        ChatRequest chatRequest = new ChatRequest();
        chatRequest.setSessionId(sessionId);
        chatRequest.setHistoryDia(historyDates);
        //2024年7月5日13:24:10 temperature做区分
        GenerateArgs generateArgs = new GenerateArgs();
        generateArgs.setTemperature(Objects.isNull(temperature) ? bigModelConfig.getTemperature() : temperature);
        generateArgs.setTopP(Objects.isNull(topP) ? bigModelConfig.getTopP() : topP);
        chatRequest.setGenerateArgs(generateArgs);
        Map<String, Object> extra = new HashMap<>();
        extra.put("ip_address", ipAddr);
        chatRequest.setExtra(extra);
        chatRequest.setStrengthen(isStrong == 1);
        chatRequest.setTools(String.valueOf(tools));
        chatRequest.setUseRag(useRag);
        return JSON.toJSONString(chatRequest);
    }


    private String buildGDQuestionCustom(List<WorkOrderRes> workOrderRes, WorkOrderReq workOrderReq) {
        StringBuilder sb = new StringBuilder();
        sb.append(GONGDAN_PROMPT_CUSTOM_BEGIN.replace("#{0}", workOrderReq.getTimeBegin()).replace("#{1}", workOrderReq.getTimeEnd()));
        if(workOrderReq.getJsSlq() || workOrderReq.getJsSs() || workOrderReq.getJsTp() || workOrderReq.getJsTn() || workOrderReq.getJsCod() || workOrderReq.getJsNh3()){
            sb.append("进水：\n");
            for (WorkOrderRes workOrderRe : workOrderRes) {
                sb.append(workOrderRe.getTime()).append(":");
                if(workOrderReq.getJsCod())
                    sb.append("进水COD：").append(DecimalUtils.getAbsAndScale(workOrderRe.getJsCod(), INT_2)).append("mg/L、");
                if(workOrderReq.getJsTn())
                    sb.append("进水总氮：").append(DecimalUtils.getAbsAndScale(workOrderRe.getJsTn(), INT_2)).append("mg/L、");
                if(workOrderReq.getJsTp())
                    sb.append("进水总磷：").append(DecimalUtils.getAbsAndScale(workOrderRe.getJsTp(), INT_2)).append("mg/L、");
                if(workOrderReq.getJsNh3())
                    sb.append("进水氨氮：").append(DecimalUtils.getAbsAndScale(workOrderRe.getJsNh3(), INT_2)).append("mg/L、");
                if(workOrderReq.getJsSs())
                    sb.append("进水SS：").append(DecimalUtils.getAbsAndScale(workOrderRe.getJsSs(), INT_2)).append("mg/L、");
                if(workOrderReq.getJsSlq())
                    sb.append("进水水量：").append(DecimalUtils.getAbsAndScale(workOrderRe.getJsSlq(), INT_2)).append("m³/d、");
            }
        }
        if(workOrderReq.getCsSlqc() || workOrderReq.getCsSs() || workOrderReq.getCsTp() || workOrderReq.getCsTn() || workOrderReq.getCsCod() || workOrderReq.getCsNh3()){
            sb.append("出水：\n");
            for (WorkOrderRes workOrderRe : workOrderRes) {
                sb.append(workOrderRe.getTime()).append(":");
                if(workOrderReq.getCsCod())
                    sb.append("出水COD：").append(DecimalUtils.getAbsAndScale(workOrderRe.getCsCod(), INT_2)).append("mg/L、");
                if(workOrderReq.getCsTn())
                    sb.append("出水总氮：").append(DecimalUtils.getAbsAndScale(workOrderRe.getCsTn(), INT_2)).append("mg/L、");
                if(workOrderReq.getCsTp())
                    sb.append("出水总磷：").append(DecimalUtils.getAbsAndScale(workOrderRe.getCsTp(), INT_2)).append("mg/L、");
                if(workOrderReq.getCsNh3())
                    sb.append("出水氨氮：").append(DecimalUtils.getAbsAndScale(workOrderRe.getCsNh3(), INT_2)).append("mg/L、");
                if(workOrderReq.getCsSs())
                    sb.append("出水SS：").append(DecimalUtils.getAbsAndScale(workOrderRe.getCsSs(), INT_2)).append("mg/L、");
                if(workOrderReq.getCsSlqc())
                    sb.append("出水水量：").append(DecimalUtils.getAbsAndScale(workOrderRe.getCsSlqc(), INT_2)).append("m³/d、");
            }
        }
        if(workOrderReq.getNo3Hlj1Jqr() || workOrderReq.getNo3Hlj2Jqr() || workOrderReq.getNh31Jqr() || workOrderReq.getNh32Jqr()
            || workOrderReq.getNo3Qyc1Jqr() || workOrderReq.getNo3Qyc2Jqr() || workOrderReq.getTpRccJqr()){
            sb.append("过程指标：\n");
            for (WorkOrderRes workOrderRe : workOrderRes) {
                sb.append(workOrderRe.getTime()).append(":");
                if(workOrderReq.getNo3Hlj1Jqr())
                    sb.append("#1好氧池硝酸盐：").append(DecimalUtils.getAbsAndScale(workOrderRe.getNo3Hlj1Jqr(), INT_2)).append("mg/L、");
                if(workOrderReq.getNo3Hlj2Jqr())
                    sb.append("#2好氧池硝酸盐：").append(DecimalUtils.getAbsAndScale(workOrderRe.getNo3Hlj2Jqr(), INT_2)).append("mg/L、");
                if(workOrderReq.getNo3Qyc1Jqr())
                    sb.append("#1缺氧池硝酸盐：").append(DecimalUtils.getAbsAndScale(workOrderRe.getNo3Qyc1Jqr(), INT_2)).append("mg/L、");
                if(workOrderReq.getNo3Qyc2Jqr())
                    sb.append("#2缺氧池硝酸盐：").append(DecimalUtils.getAbsAndScale(workOrderRe.getNo3Qyc2Jqr(), INT_2)).append("mg/L、");
                if(workOrderReq.getTpRccJqr())
                    sb.append("二沉池正磷酸盐：").append(DecimalUtils.getAbsAndScale(workOrderRe.getTpRccJqr(), INT_2)).append("mg/L、");
                if(workOrderReq.getNh31Jqr())
                    sb.append("#1缺氧氨氮：").append(DecimalUtils.getAbsAndScale(workOrderRe.getNh31Jqr(), INT_2)).append("mg/L、");
                if(workOrderReq.getNh32Jqr())
                    sb.append("#2缺氧氨氮：").append(DecimalUtils.getAbsAndScale(workOrderRe.getNh32Jqr(), INT_2)).append("mg/L、");
            }
        }
        sb.append(GONGDAN_PROMPT_CUSTOM_END_1);
        if(workOrderReq.getJsCod() || workOrderReq.getCsCod())
            sb.append("化学需氧量（COD）、");
        if(workOrderReq.getJsTp() || workOrderReq.getCsTp())
            sb.append("总磷（TP）、");
        if(workOrderReq.getJsTn() || workOrderReq.getCsTn())
            sb.append("总氮（TN）、");
        if(workOrderReq.getJsSs() || workOrderReq.getCsSs())
            sb.append("SS、");
        if(workOrderReq.getJsNh3() || workOrderReq.getCsNh3())
            sb.append("氨氮、");
        sb.append(GONGDAN_PROMPT_CUSTOM_END_2);
        return sb.toString();
    }



    /**
     * 通过日期构建工单的请求参数 --new
     * @return
     */
    private String buildGDQuestionNew(String date, String dateBefore, TXinyiDaily tXinyiDaily, TXinyiDaily tXinyiDaily1) {
        StringBuilder sb = new StringBuilder(GONGDAN_PROMPT_BEGIN_PRE_1).append(date);
//        sb.append(GONGDAN_PROMPT_BEGIN.replace("#{0}", date));
        sb.append(GONGDAN_PROMPT_BEGIN_PRE_2).append(date);
        sb.append(GONGDAN_PROMPT_BEGIN_PRE_3);
        sb.append("进水COD：").append(DecimalUtils.getAbsAndScale(tXinyiDaily.getJsCod(), INT_2)).append("mg/L、");
        sb.append("进水总氮：").append(DecimalUtils.getAbsAndScale(tXinyiDaily.getJsTn(), INT_2)).append("mg/L、");
        sb.append("进水总磷：").append(DecimalUtils.getAbsAndScale(tXinyiDaily.getJsTp(), INT_2)).append("mg/L、");
        sb.append("进水氨氮：").append(DecimalUtils.getAbsAndScale(tXinyiDaily.getJsNh3(), INT_2)).append("mg/L、");
        sb.append("进水SS：").append(DecimalUtils.getAbsAndScale(tXinyiDaily.getJsSs(), INT_2)).append("mg/L、");
        sb.append("进水水量：").append(DecimalUtils.getAbsAndScale(tXinyiDaily.getJSL(), INT_2)).append("m³/d、");
        sb.append(";");
        sb.append("出水COD：").append(DecimalUtils.getAbsAndScale(tXinyiDaily.getCsCod(), INT_2)).append("mg/L、");
        sb.append("出水总氮：").append(DecimalUtils.getAbsAndScale(tXinyiDaily.getCsTn(), INT_2)).append("mg/L、");
        sb.append("出水总磷：").append(DecimalUtils.getAbsAndScale(tXinyiDaily.getCsTp(), INT_2)).append("mg/L、");
        sb.append("出水氨氮：").append(DecimalUtils.getAbsAndScale(tXinyiDaily.getCsNh3(), INT_2)).append("mg/L、");
        sb.append("出水SS：").append(DecimalUtils.getAbsAndScale(tXinyiDaily.getCsSs(), INT_2)).append("mg/L、");
        sb.append("出水水量：").append(DecimalUtils.getAbsAndScale(tXinyiDaily.getCSL(), INT_2)).append("m³/d。");
        sb.append("二、生化指标：\n");
        //todo 单位确认 下面的应该不是 mg/L
        sb.append("#1好氧池pH：").append(DecimalUtils.getAbsAndScale(tXinyiDaily.getShcOnePh(), INT_2)).append("、");
        sb.append("#1好氧池SV：").append(DecimalUtils.getAbsAndScale(tXinyiDaily.getShcHyOneSv(), INT_2)).append("、");
        sb.append("#1好氧池SVI：").append(DecimalUtils.getAbsAndScale(tXinyiDaily.getShcHyOneSvi(), INT_2)).append("、");
        sb.append("#1好氧池MLSS：").append(DecimalUtils.getAbsAndScale(tXinyiDaily.getShcHyOneMlss(), INT_2)).append("、");
        sb.append("#1好氧池MLVSS：").append(DecimalUtils.getAbsAndScale(tXinyiDaily.getShcHyOneMlvss(), INT_2)).append("、");
        sb.append("#1好氧池DO：").append(DecimalUtils.getAbsAndScale(tXinyiDaily.getShcHyOneDo(), INT_2)).append("；");
        sb.append("#2好氧池pH：").append(DecimalUtils.getAbsAndScale(tXinyiDaily.getShcTwoPh(), INT_2)).append("、");
        sb.append("#2好氧池SV：").append(DecimalUtils.getAbsAndScale(tXinyiDaily.getShcHyTwoSv(), INT_2)).append("、");
        sb.append("#2好氧池SVI：").append(DecimalUtils.getAbsAndScale(tXinyiDaily.getShcHyTwoSvi(), INT_2)).append("、");
        sb.append("#2好氧池MLSS：").append(DecimalUtils.getAbsAndScale(tXinyiDaily.getShcHyTwoMlss(), INT_2)).append("、");
        sb.append("#2好氧池MLVSS：").append(DecimalUtils.getAbsAndScale(tXinyiDaily.getShcHyTwoMlvss(), INT_2)).append("、");
        sb.append("#2好氧池DO：").append(DecimalUtils.getAbsAndScale(tXinyiDaily.getShcHyTwoDo(), INT_2)).append("；");
        sb.append("#1厌氧池DO：").append(DecimalUtils.getAbsAndScale(tXinyiDaily.getShcYyOneDo(), INT_2)).append("；");
        sb.append("#2厌氧池DO：").append(DecimalUtils.getAbsAndScale(tXinyiDaily.getShcYyTwoDo(), INT_2)).append("。");
        sb.append("最近7天的数据如下：\n");
        List<TXinyiDaily> dailyTwoRecords = this.xinyiDailyMapper.selectNRecords(DAILY_REPORT_COUNT_RECORD);
        //正常不会有这种问题 因为日报有很多条
        if(CollectionUtils.isEmpty(dailyTwoRecords) || dailyTwoRecords.size() < DAILY_REPORT_COUNT_RECORD){
            log.error("进入了定时生成每日简报数据 获取最新的{}条数据不足，终止", DAILY_REPORT_COUNT_RECORD);
            return sb.toString();
        }
        //查询配置信息
        List<TXinyiNormConfig> tXinyiNormConfigs = this.xinyiNormConfigMapper.selectTXinyiNormConfigList(null);
        if(CollectionUtils.isEmpty(tXinyiNormConfigs))
            return null;
        TXinyiNormConfig normConfig = tXinyiNormConfigs.get(0);
        //获取数据
        for (TXinyiDaily dailyTwoRecord : dailyTwoRecords) {
            sb.append(formateDateStr(dailyTwoRecord.getTestDate())).append("进出水质数据：\n");
            sb.append("进水：\n");
            sb.append("进水COD").append(DecimalUtils.getAbsAndScale(dailyTwoRecord.getJsCod(), 2)).append("mg/L、");
            sb.append("进水总氮").append(DecimalUtils.getAbsAndScale(dailyTwoRecord.getJsTn(), 2)).append("mg/L、");
            sb.append("进水总磷").append(DecimalUtils.getAbsAndScale(dailyTwoRecord.getJsTp(), 2)).append("mg/L、");
            sb.append("进水氨氮").append(DecimalUtils.getAbsAndScale(dailyTwoRecord.getJsNh3(), 2)).append("mg/L、");
            sb.append("进水SS").append(DecimalUtils.getAbsAndScale(dailyTwoRecord.getJsSs(), 2)).append("mg/L、");
            sb.append("进水水量").append(DecimalUtils.getAbsAndScale(dailyTwoRecord.getJSL(), 2)).append("m³/d").append(";\n");
            sb.append("出水：\n");
            sb.append("出水COD").append(DecimalUtils.getAbsAndScale(dailyTwoRecord.getCsCod(), 2)).append("mg/L、");
            sb.append("出水总氮").append(DecimalUtils.getAbsAndScale(dailyTwoRecord.getCsTn(), 2)).append("mg/L、");
            sb.append("出水总磷").append(DecimalUtils.getAbsAndScale(dailyTwoRecord.getCsTp(), 2)).append("mg/L、");
            sb.append("出水氨氮").append(DecimalUtils.getAbsAndScale(dailyTwoRecord.getCsNh3(), 2)).append("mg/L、");
            sb.append("出水SS").append(DecimalUtils.getAbsAndScale(dailyTwoRecord.getCsSs(), 2)).append("mg/L、");
            sb.append("出水水量").append(DecimalUtils.getAbsAndScale(dailyTwoRecord.getCSL(), 2)).append("m³/d").append("。\n");
        }
        sb.append(SHORT_REPORT_END);
        sb.append("进水COD：").append(DecimalUtils.getAbsAndScale(normConfig.getJscodSjz(), 2)).append("mg/L、");
        sb.append("进水总氮：").append(DecimalUtils.getAbsAndScale(normConfig.getJszdSjz(), 2)).append("mg/L、");
        sb.append("进水总磷：").append(DecimalUtils.getAbsAndScale(normConfig.getJszlSjz(), 2)).append("mg/L、");
        sb.append("进水氨氮：").append(DecimalUtils.getAbsAndScale(normConfig.getJsadSjz(), 2)).append("mg/L、");
        sb.append("进水SS：").append(DecimalUtils.getAbsAndScale(normConfig.getJsssSjz(), 2)).append("mg/L、");
        sb.append("出水COD：").append(DecimalUtils.getAbsAndScale(normConfig.getCscodBzz(), 2)).append("mg/L、");
        sb.append("出水总氮：").append(DecimalUtils.getAbsAndScale(normConfig.getCszzBzz(), 2)).append("mg/L、");
        sb.append("出水总磷：").append(DecimalUtils.getAbsAndScale(normConfig.getCszlBzz(), 2)).append("mg/L、");
        sb.append("出水氨氮：").append(DecimalUtils.getAbsAndScale(normConfig.getCsadBzz(), 2)).append("mg/L、");
        sb.append("出水SS：").append(DecimalUtils.getAbsAndScale(normConfig.getCsssBzz(), 2)).append("mg/L").append("。");
        sb.append(GONGDAN_PROMPT_END);
        return sb.toString();
    }


    /**
     *
     * 2022/01/01 转成2022年01月01日 数据
     * @param testDate
     * @return
     */
    private String formateDateStr(String testDate) {
        if(StringUtils.isBlank(testDate))
            return "";
        if(!testDate.contains("/"))
            return testDate;
        String[] split = testDate.split("/");
        return split[0] + "年" + split[1] + "月" + split[2] + "日";
    }

    /**
     * 通过日期构建工单的请求参数
     * @return
     */
    private String buildGDQuestion(String date, String dateBefore, TXinyiDaily xinyiDailyNow, TXinyiDaily xinyiDailyBefore) {
        String result = GONGDAN_PROMPT;
        result = result.replace("{0}", date);
        result = result.replace("{1}", dateBefore);
        //替换各种指标
        result = result.replace("{2}", String.valueOf(xinyiDailyNow.getJsCod()));
        result = result.replace("{3}",  String.valueOf(xinyiDailyNow.getJsTn()));
        result = result.replace("{4}", String.valueOf(xinyiDailyNow.getJsTp()));
        result = result.replace("{5}", String.valueOf(xinyiDailyNow.getJsNh3()));
        result = result.replace("{6}", String.valueOf(xinyiDailyNow.getJsSs()));
        result = result.replace("{7}", String.valueOf(xinyiDailyNow.getJSL()));
        result = result.replace("{8}", String.valueOf(xinyiDailyNow.getCsCod()));
        result = result.replace("{9}", String.valueOf(xinyiDailyNow.getCsTn()));
        result = result.replace("{10}", String.valueOf(xinyiDailyNow.getCsTp()));
        result = result.replace("{11}", String.valueOf(xinyiDailyNow.getCsNh3()));
        result = result.replace("{12}", String.valueOf(xinyiDailyNow.getCsSs()));
        result = result.replace("{13}", String.valueOf(xinyiDailyNow.getCSL()));
        result = result.replace("{14}", String.valueOf(xinyiDailyNow.getShcOnePh()));
        result = result.replace("{15}", String.valueOf(xinyiDailyNow.getShcHyOneSv()));
        result = result.replace("{16}", String.valueOf(xinyiDailyNow.getShcHyOneSvi()));
        result = result.replace("{17}", String.valueOf(xinyiDailyNow.getShcHyOneMlss()));
        result = result.replace("{18}", String.valueOf(xinyiDailyNow.getShcHyOneMlvss()));
        result = result.replace("{19}", String.valueOf(xinyiDailyNow.getShcHyOneDo()));
        result = result.replace("{20}", String.valueOf(xinyiDailyNow.getShcTwoPh()));
        result = result.replace("{21}", String.valueOf(xinyiDailyNow.getShcHyTwoSv()));
        result = result.replace("{22}", String.valueOf(xinyiDailyNow.getShcHyTwoSvi()));
        result = result.replace("{23}", String.valueOf(xinyiDailyNow.getShcHyTwoMlss()));
        result = result.replace("{24}", String.valueOf(xinyiDailyNow.getShcHyTwoMlvss()));
        result = result.replace("{25}", String.valueOf(xinyiDailyNow.getShcHyTwoDo()));
        result = result.replace("{26}", String.valueOf(xinyiDailyNow.getShcYyOneDo()));
        result = result.replace("{27}", String.valueOf(xinyiDailyNow.getShcYyTwoDo()));
        result = result.replace("{28}", String.valueOf(xinyiDailyBefore.getJsCod()));
        result = result.replace("{29}", String.valueOf(xinyiDailyBefore.getJsTn()));
        result = result.replace("{30}", String.valueOf(xinyiDailyBefore.getJsTp()));
        result = result.replace("{31}", String.valueOf(xinyiDailyBefore.getJsNh3()));
        result = result.replace("{32}", String.valueOf(xinyiDailyBefore.getJsSs()));
        result = result.replace("{33}", String.valueOf(xinyiDailyBefore.getJSL()));
        result = result.replace("{34}", String.valueOf(xinyiDailyBefore.getCsCod()));
        result = result.replace("{35}", String.valueOf(xinyiDailyBefore.getCsTn()));
        result = result.replace("{36}", String.valueOf(xinyiDailyBefore.getCsTp()));
        result = result.replace("{37}", String.valueOf(xinyiDailyBefore.getCsNh3()));
        result = result.replace("{38}", String.valueOf(xinyiDailyBefore.getCsSs()));
        result = result.replace("{39}", String.valueOf(xinyiDailyBefore.getCSL()));
        return result;
    }


    public static void main(String[] args) {
//        String encoded = "\\345\\216\\214\\346\\260\\247\\346\\261\\240\\347\\241\\235\\351\\205\\270\\347\\233\\220\\346\\260\\256\\346\\230\\257\\345\\220\\246\\345\\244\\247\\344\\272";
//        String decoded = decodeOctalToUtf8(encoded);
//        System.out.println(decoded);
        testPredictor();
    }

    public static void testPredictor(){
        // 获取输出流
        ManagedChannel channel = null;
        try {
            channel = ManagedChannelBuilder.forAddress("10.0.0.24", 17070)
                    .usePlaintext()
                    .build();
            InferenceAPIsServiceGrpc.InferenceAPIsServiceBlockingStub stub = InferenceAPIsServiceGrpc.newBlockingStub(channel);
//            String dataJson = "{\"bot_id\":\"b00001\",\"exp_id\":\"721\",\"norm\":\"出水氨氮\",\"session_id\":\" " + IdUtils.simpleUUID() + "  \",\"extra\":{}}";
            //2024年6月27日13:23:25  优化：改成非拼接JSON字符串
            String dataJson = buildBigModelReqForPredictor("出水氨氮");
//            log.info("请求大模型的预测的参数为{}", dataJson);
            PredictionsRequest request = PredictionsRequest.newBuilder()
                    .setModelName("slibra_bot")
                    .putInput("method", ByteString.copyFrom("predictor", "utf-8"))//推理
                    .putInput("data", ByteString.copyFrom(dataJson, "utf-8"))
                    .buildPartial();
            //2024年6月21日10:35:22  改成非流式输出
            /*Iterator<PredictionResponse> predictions = stub.streamPredictions(request);
            //将结果记录到问答表
            String responseStr = predictions.next().getPrediction().toStringUtf8();
            log.info("大模型问答返回的原始结果为{}", responseStr);*/
            PredictionResponse predictions = stub.predictions(request);
            String responseStr = predictions.getPrediction().toStringUtf8();
//            log.info("大模型问答返回的原始结果为{}", responseStr);
        } catch (IOException e) {
            throw new RuntimeException(e);
        } finally {
            channel.shutdown();
        }
    }

    private static String buildBigModelReqForPredictor(String type) {
        PredictorRequest predictorRequest = new PredictorRequest();
        predictorRequest.setNorm(type);
        predictorRequest.setSessionId(IdUtils.simpleUUID());
        return JSON.toJSONString(predictorRequest);
    }


}