package com.iailab.module.model.api;

import com.alibaba.fastjson.JSON;
import com.iailab.module.data.api.point.DataPointApi;
import com.iailab.module.data.api.point.dto.ApiPointValueWriteDTO;
import com.iailab.module.model.api.mcs.dto.StScheduleModelOutDTO;
import com.iailab.module.model.api.mdk.MdkApi;
import com.iailab.module.model.api.mdk.dto.*;
import com.iailab.module.model.common.enums.IsWriteEnum;
import com.iailab.module.model.common.enums.ModelOutResultType;
import com.iailab.module.model.common.enums.OutResultType;
import com.iailab.module.model.mcs.pre.entity.DmModuleEntity;
import com.iailab.module.model.mcs.pre.service.DmModuleService;
import com.iailab.module.model.mcs.pre.service.MmPredictItemService;
import com.iailab.module.model.mcs.sche.service.StScheduleModelOutService;
import com.iailab.module.model.mcs.sche.service.StScheduleRecordService;
import com.iailab.module.model.mcs.sche.service.StScheduleSchemeService;
import com.iailab.module.model.mdk.predict.PredictModuleHandler;
import com.iailab.module.model.mdk.predict.PredictResultHandler;
import com.iailab.module.model.mdk.schedule.ScheduleModelHandler;
import com.iailab.module.model.mdk.vo.DataValueVO;
import com.iailab.module.model.mdk.vo.ItemVO;
import com.iailab.module.model.mdk.vo.PredictResultVO;
import com.iailab.module.model.mdk.vo.ScheduleResultVO;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.util.CollectionUtils;
import org.springframework.validation.annotation.Validated;
import org.springframework.web.bind.annotation.RestController;

import java.util.*;
import java.util.stream.Collectors;

import static com.iailab.module.model.common.enums.ModelOutResultType.D;

/**
 * @author PanZhibao
 * @Description
 * @createTime 2024年08月26日
 */
@Slf4j
@RestController
@Validated
public class MdkApiImpl implements MdkApi {

    @Autowired
    private DmModuleService dmModuleService;

    @Autowired
    private MmPredictItemService mmPredictItemService;

    @Autowired
    private PredictModuleHandler predictModuleHandler;

    @Autowired
    private PredictResultHandler predictResultHandler;

    @Autowired
    private ScheduleModelHandler scheduleModelHandler;

    @Autowired
    private StScheduleRecordService stScheduleRecordService;

    @Autowired
    private StScheduleSchemeService stScheduleSchemeService;

    @Autowired
    private StScheduleModelOutService stScheduleModelOutService;

    @Autowired
    private DataPointApi dataPointApi;

    /**
     * 按模块预测
     *
     * @param reqDTO
     * @return
     */
    @Override
    public MdkPredictModuleRespDTO predictModule(MdkPredictReqDTO reqDTO) {
        MdkPredictModuleRespDTO resp = new MdkPredictModuleRespDTO();
        resp.setPredictTime(reqDTO.getPredictTime());
        resp.setModuleType(reqDTO.getModuleType());

        Map<String, MdkPredictItemRespDTO> predictItemRespMap = new HashMap<>();
        try {
            if (reqDTO.getPredictTime() == null) {
                throw new Exception("PredictTime不能为空");
            }
            if (reqDTO.getModuleType() == null) {
                throw new Exception("ModuleType不能为空");
            }
            Calendar calendar = Calendar.getInstance();
            calendar.setTime(reqDTO.getPredictTime());
            calendar.set(Calendar.MILLISECOND, 0);
            calendar.set(Calendar.SECOND, 0);
            reqDTO.setPredictTime(calendar.getTime());
            log.info("预测参数：" + JSON.toJSONString(reqDTO));
            MdkPredictModuleRespDTO result = new MdkPredictModuleRespDTO();
            result.setPredictTime(reqDTO.getPredictTime());
            result.setModuleType(reqDTO.getModuleType());
            List<DmModuleEntity> moduleList = dmModuleService.getModuleByModuleType(reqDTO.getModuleType());
            log.info("预测计算开始: " + System.currentTimeMillis());
            for (DmModuleEntity module : moduleList) {
                int intervalTime = 0;
                if (module.getPredicttime() != null) {
                    intervalTime = (int) (reqDTO.getPredictTime().getTime() - module.getPredicttime().getTime()) / (1000 * 60);
                }
                List<ItemVO> predictItemList = mmPredictItemService.getByModuleId(module.getId());
                Map<String, PredictResultVO> predictResultMap = new HashMap<>(predictItemList.size());
                // 分组，先运行normal预测项，再将结果传递给merge预测项
                List<ItemVO> normalItems = predictItemList.stream().filter(e -> e.getItemType().equals("NormalItem")).collect(Collectors.toList());
                if (!CollectionUtils.isEmpty(normalItems)) {
                    predictModuleHandler.predict(normalItems, reqDTO.getPredictTime(), intervalTime, predictResultMap);
                    List<ItemVO> mergeItems = predictItemList.stream().filter(e -> e.getItemType().equals("MergeItem")).collect(Collectors.toList());
                    if (!CollectionUtils.isEmpty(mergeItems)) {
                        predictModuleHandler.predict(mergeItems, reqDTO.getPredictTime(), intervalTime, predictResultMap);
                    }
                }
                // 更新Module时间
                dmModuleService.updatePredictTime(module.getId(), reqDTO.getPredictTime());
                if (reqDTO.getIsResult() == null || !reqDTO.getIsResult()) {
                    return resp;
                }
                for (Map.Entry<String, PredictResultVO> entry : predictResultMap.entrySet()) {
                    MdkPredictItemRespDTO itemResp = new MdkPredictItemRespDTO();
                    itemResp.setItemId(entry.getKey());
                    itemResp.setPredictTime(reqDTO.getPredictTime());
                    Map<String, List<MdkPredictDataDTO>> itemPredictData = new HashMap<>();

                    Map<String, List<DataValueVO>> predictLists = predictResultHandler.convertToPredictData2(entry.getValue());
                    for (Map.Entry<String, List<DataValueVO>> dataListEntry : predictLists.entrySet()) {
                        List<MdkPredictDataDTO> predictData = dataListEntry.getValue().stream().map(t -> {
                            MdkPredictDataDTO dto1 = new MdkPredictDataDTO();
                            dto1.setDataTime(t.getDataTime());
                            dto1.setDataValue(t.getDataValue());
                            return dto1;
                        }).collect(Collectors.toList());
                        itemPredictData.put(dataListEntry.getKey(), predictData);
                    }
                    itemResp.setPredictData(itemPredictData);
                    predictItemRespMap.put(entry.getKey(), itemResp);
                }
            }
            log.info("预测计算结束: " + System.currentTimeMillis());
        } catch (Exception ex) {
            ex.printStackTrace();
            return resp;
        }
        resp.setPredictItemRespMap(predictItemRespMap);
        return resp;
    }

    /**
     * 单个预测
     *
     * @param reqDTO
     * @return
     */
    @Override
    public MdkPredictItemRespDTO predictItem(MdkPredictReqDTO reqDTO) {
        MdkPredictItemRespDTO resp = new MdkPredictItemRespDTO();
        try {

            ItemVO itemByItemNo = mmPredictItemService.getItemByItemNo(reqDTO.getItemNo());
            List<ItemVO> predictItemList = new ArrayList<>();
            predictItemList.add(itemByItemNo);
            Map<String, PredictResultVO> predictResultMap = new HashMap<>(predictItemList.size());
            predictModuleHandler.predict(predictItemList, reqDTO.getPredictTime(), 0, predictResultMap);

            Map<String, List<MdkPredictDataDTO>> itemPredictData = new HashMap<>();

            Map<String, List<DataValueVO>> predictLists = predictResultHandler.convertToPredictData2(predictResultMap.get(reqDTO.getItemNo()));
            for (Map.Entry<String, List<DataValueVO>> dataListEntry : predictLists.entrySet()) {
                List<MdkPredictDataDTO> predictData = dataListEntry.getValue().stream().map(t -> {
                    MdkPredictDataDTO dto1 = new MdkPredictDataDTO();
                    dto1.setDataTime(t.getDataTime());
                    dto1.setDataValue(t.getDataValue());
                    return dto1;
                }).collect(Collectors.toList());
                itemPredictData.put(dataListEntry.getKey(), predictData);
            }
            resp.setItemId(reqDTO.getItemNo());
            resp.setPredictTime(reqDTO.getPredictTime());
            resp.setPredictData(itemPredictData);
        } catch (Exception e) {
            throw new RuntimeException(e);
        }

        return resp;
    }

    /**
     * 预测调整
     *
     * @param reqDTO
     * @return
     */
    @Override
    public Boolean predictAutoAdjust(MdkPredictReqDTO reqDTO) {


        return true;
    }

    /**
     * 执行调度模型
     *
     * @param reqDTO
     * @return
     */
    @Override
    public MdkScheduleRespDTO doSchedule(MdkScheduleReqDTO reqDTO) {
        MdkScheduleRespDTO resp = new MdkScheduleRespDTO();
        resp.setScheduleCode(reqDTO.getScheduleCode());
        resp.setScheduleTime(reqDTO.getScheduleTime());
        try {
            log.info("调度计算开始: " + System.currentTimeMillis());
            ScheduleResultVO scheduleResult = scheduleModelHandler.doSchedule(reqDTO.getScheduleCode(), reqDTO.getScheduleTime());
            resp.setStatusCode(scheduleResult.getResultCode());
            resp.setResult(scheduleResult.getResult());
            stScheduleRecordService.create(scheduleResult);
            stScheduleSchemeService.updateTime(scheduleResult.getSchemeId(), scheduleResult.getScheduleTime(), scheduleResult.getResultCode());
            log.info("预测计算结束: " + System.currentTimeMillis());
        } catch (Exception ex) {
            log.info("调度计算异常: " + System.currentTimeMillis());
            ex.printStackTrace();
            return resp;
        }
        return resp;
    }

    @Override
    public Boolean scheduleModelOut(MdkScheduleRespDTO dto) {
        String modelId = stScheduleSchemeService.getByCode(dto.getScheduleCode()).getModelId();
        Map<String, Object> result = dto.getResult();
        List<StScheduleModelOutDTO> list = stScheduleModelOutService.list(modelId);
        try {
            for (StScheduleModelOutDTO stScheduleModelOutDTO : list) {
                double value = 0;
                //判断点位是否下发
                if (stScheduleModelOutDTO.getIsWrite().equals(IsWriteEnum.NOTWRITE.value())) {
                    continue;
                }
                //返回结果是否存在
                if (result.get(stScheduleModelOutDTO.getResultKey()) == null) {
                    log.error(result.get(stScheduleModelOutDTO.getResultKey()) + "resultKey匹配失败");
                    continue;
                }
                Object resultValue = result.get(stScheduleModelOutDTO.getResultKey());
                //判断解析方式
                ModelOutResultType modelOutResultType = ModelOutResultType.getEumByCode(stScheduleModelOutDTO.getResultType());
                switch (modelOutResultType) {
                    case D:
                        value = (Double) resultValue;
                        break;
                    case D1:
                        ArrayList<Double> doubleList = (ArrayList<Double>) resultValue;
                        double[] array1 = new double[doubleList.size()];
                        for (int i = 0; i < doubleList.size(); i++) {
                            array1[i] = doubleList.get(i);
                        }
                        if (stScheduleModelOutDTO.getResultPort() < array1.length) {
                            value = array1[stScheduleModelOutDTO.getResultPort()];
                        } else {
                            log.error(result.get(stScheduleModelOutDTO.getResultKey()) + "下角标超限");
                        }
                        break;
                    case D2:
                        ArrayList<ArrayList<Double>> doubleListList = (ArrayList<ArrayList<Double>>) resultValue;
                        double[][] array2 = new double[doubleListList.size()][];
                        for (int i = 0; i < doubleListList.size(); i++) {
                            ArrayList<Double> doubleList2 = doubleListList.get(i);
                            array2[i] = new double[doubleList2.size()];
                            for (int j = 0; j < doubleList2.size(); j++) {
                                array2[i][j] = doubleList2.get(j);
                            }
                        }
                        if (stScheduleModelOutDTO.getResultPort() < array2.length && stScheduleModelOutDTO.getResultIndex() < array2[stScheduleModelOutDTO.getResultPort()].length) {
                            value = array2[stScheduleModelOutDTO.getResultPort()][stScheduleModelOutDTO.getResultIndex()];
                        } else {
                            log.error(result.get(stScheduleModelOutDTO.getResultKey()) + "下标超限");
                        }
                        break;
                }
                //下发到point点位
                ApiPointValueWriteDTO ApiPointValueWriteDTO = new ApiPointValueWriteDTO();
                ApiPointValueWriteDTO.setPointNo(stScheduleModelOutDTO.getPointNo());
                ApiPointValueWriteDTO.setValue(value);
                if (!dataPointApi.writePointRealValue(ApiPointValueWriteDTO)) {
                    log.error(result.get(stScheduleModelOutDTO.getResultKey()) + "下发数据异常");
                }
            }
        } catch (Exception ex) {
            log.error("下发数据异常");
            ex.printStackTrace();
        }
        return true;
    }
}