package com.iailab.module.model.mdk.predict;

import com.baomidou.dynamic.datasource.annotation.DSTransactional;
import com.iailab.module.model.common.enums.CommonDict;
import com.iailab.module.model.mcs.pre.entity.MmItemOutputEntity;
import com.iailab.module.model.mcs.pre.service.MmItemResultService;
import com.iailab.module.model.mcs.sche.service.StAdjustResultService;
import com.iailab.module.model.mdk.factory.ItemEntityFactory;
import com.iailab.module.model.mdk.vo.DataValueVO;
import com.iailab.module.model.mdk.vo.PredictResultVO;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import org.springframework.util.CollectionUtils;

import java.math.BigDecimal;
import java.util.*;

@Service
public class PredictResultHandler {
    @Autowired
    private MmItemResultService mmItemResultService;

    @Autowired
    private ItemEntityFactory itemEntityFactory;

    @Autowired
    private StAdjustResultService stAdjustResultService;

    /**
     * convertToPredictData
     *
     * @param predictResult
     * @return
     */
    public Map<String, List<DataValueVO>> convertToPredictData(PredictResultVO predictResult) {
        Map<String, List<DataValueVO>> resultMap = new HashMap<>();
        Map<MmItemOutputEntity, double[]> predictMatrixs = predictResult.getPredictMatrixs();
        HashMap<String, List<DataValueVO>> predictLists = new HashMap<>();
        for (Map.Entry<MmItemOutputEntity, double[]> entry : predictMatrixs.entrySet()) {
            Integer rows = entry.getValue().length;
            List<DataValueVO> predictDataList = new ArrayList<>();
            Calendar calendar = Calendar.getInstance();
            calendar.setTime(predictResult.getPredictTime());
            for (Integer i = 0; i < rows; i++) {
                DataValueVO predictData = new DataValueVO();
                predictData.setDataTime(calendar.getTime());
                predictData.setDataValue(Double.valueOf(entry.getValue()[i]));
                predictDataList.add(predictData);

                calendar.add(Calendar.SECOND, predictResult.getGranularity());
            }
            resultMap.put(entry.getKey().getId(), predictDataList);
            predictLists.put(entry.getKey().getResultstr(), predictDataList);

            //处理累计计算
            if (entry.getKey().getIscumulant() == 1) {
                resultMap.put(entry.getKey().getId() + CommonDict.CUMULANT_SUFFIX, new ArrayList<DataValueVO>() {{
                    DataValueVO predictData = new DataValueVO();
                    // 时间 预测时间+预测长度*粒度
                    Calendar calendar = Calendar.getInstance();
                    calendar.setTime(predictResult.getPredictTime());
                    calendar.add(Calendar.SECOND, predictResult.getGranularity() * (rows - 1));
                    predictData.setDataTime(calendar.getTime());
                    //值 所有值相加/除数
                    BigDecimal sum = BigDecimal.valueOf(Arrays.stream(entry.getValue()).sum());
                    BigDecimal divisor = BigDecimal.valueOf(entry.getKey().getCumuldivisor());
                    predictData.setDataValue(sum.divide(divisor, 2, BigDecimal.ROUND_HALF_UP).doubleValue());
                    add(predictData);
                }});
            }
        }
        predictResult.setPredictLists(predictLists);
        return resultMap;
    }

    public Map<String, List<DataValueVO>> convertToPredictData2(PredictResultVO predictResult) {
        Map<String, List<DataValueVO>> predictLists = new HashMap<>();
        if (!CollectionUtils.isEmpty(predictResult.getPredictList())) {
            return predictLists;
        }
        Map<MmItemOutputEntity, double[]> predictMatrixs = predictResult.getPredictMatrixs();
        for (Map.Entry<MmItemOutputEntity, double[]> entry : predictMatrixs.entrySet()) {
            Integer rows = entry.getValue().length;
            List<DataValueVO> predictDataList = new ArrayList<>();
            Calendar calendar = Calendar.getInstance();
            calendar.setTime(predictResult.getPredictTime());
            for (Integer i = 0; i < rows; i++) {
                DataValueVO predictData = new DataValueVO();
                predictData.setDataTime(calendar.getTime());
                predictData.setDataValue(Double.valueOf(entry.getValue()[i]));
                predictDataList.add(predictData);

                calendar.add(Calendar.SECOND, predictResult.getGranularity());
            }
            predictLists.put(entry.getKey().getResultstr(), predictDataList);
        }
        return predictLists;
    }

    /**
     * savePredictResult
     *
     * @param predictResult
     */
    @DSTransactional
    public void savePredictResult(PredictResultVO predictResult) {
        Map<String, List<DataValueVO>> resultMap = convertToPredictData(predictResult);
        mmItemResultService.savePredictValue(resultMap, predictResult.getLt(), "n", predictResult.getPredictTime());
    }

    /**
     * savePredictAdjustResult
     *
     * @param predictResult
     * @param configId
     */
    @DSTransactional
    public void savePredictAdjustResult(PredictResultVO predictResult, String adjustValue, String scheduleModelId, String configId) {
        Map<String, List<DataValueVO>> resultMap = convertToPredictData(predictResult);
        stAdjustResultService.saveResult(resultMap, predictResult.getPredictTime(), adjustValue, scheduleModelId,configId);
    }

    public List<DataValueVO> getPredictValueByItemNo(String itemNo, Date start, Date end) {
        String itemId = itemEntityFactory.getItemByItemNo(itemNo).getId();
        List<MmItemOutputEntity> outputList = itemEntityFactory.getOutPutByItemId(itemId);
        return mmItemResultService.getPredictValue(outputList.get(0).getId(), start, end);
    }

    public List<DataValueVO> getPredictValueByItemId(String itemId, Date start, Date end) {
        List<MmItemOutputEntity> outputList = itemEntityFactory.getOutPutByItemId(itemId);
        return mmItemResultService.getPredictValue(outputList.get(0).getId(), start, end);
    }
}