package com.iailab.module.model.mcs.pre.service.impl;

import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
import com.iailab.module.model.mcs.pre.dao.MmPredictModelDao;
import com.iailab.module.model.mcs.pre.entity.MmPredictModelEntity;
import com.iailab.module.model.mcs.pre.service.MmPredictModelService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import org.springframework.util.CollectionUtils;

import java.math.BigDecimal;
import java.util.List;
import java.util.Map;
import java.util.UUID;
import java.util.concurrent.ConcurrentHashMap;

/**
 * @author PanZhibao
 * @date 2021年04月27日 11:30
 */
@Service
public class MmPredictModelServiceImpl extends ServiceImpl<MmPredictModelDao, MmPredictModelEntity> implements MmPredictModelService {

    @Autowired
    private MmPredictModelDao mmPredictModelDao;

    private static Map<String, MmPredictModelEntity> modelEntityMap = new ConcurrentHashMap<>();

    private static Map<String, MmPredictModelEntity> activeModelMap = new ConcurrentHashMap<>();

    @Override
    public void savePredictModel(MmPredictModelEntity predictModel) {
        predictModel.setId(UUID.randomUUID().toString());
        mmPredictModelDao.insert(predictModel);
        clearCache();
    }

    @Override
    public void update(MmPredictModelEntity predictModel) {
        this.updateById(predictModel);
        clearCache();
    }

    @Override
    public MmPredictModelEntity getInfoFromCatch(String id) {
        if (!modelEntityMap.containsKey(id)) {
            MmPredictModelEntity modelEntity = getInfo(id);
            if (modelEntity != null) {
                modelEntityMap.put(id, modelEntity);
            }
        }
        return modelEntityMap.get(id);
    }

    @Override
    public void clearCache() {
        modelEntityMap.clear();
        activeModelMap.clear();
    }

    @Override
    public MmPredictModelEntity getInfo(String id) {
        return mmPredictModelDao.selectById(id);
    }

    @Override
    public BigDecimal getSampleLength(String id) {
        BigDecimal result = BigDecimal.ZERO;
        List<MmPredictModelEntity> list = mmPredictModelDao.getSampleLength(id);
        if (CollectionUtils.isEmpty(list)) {
            return result;
        }
        result = list.get(0).getPredictsamplength();

        return result;
    }

    public void deleteBatch(String[] itemIds) {
        QueryWrapper<MmPredictModelEntity> queryWrapper = new QueryWrapper<>();
        queryWrapper.in("itemid", itemIds);
        mmPredictModelDao.delete(queryWrapper);
        clearCache();
    }

    public MmPredictModelEntity getByItemid(String itemid) {
        QueryWrapper<MmPredictModelEntity> queryWrapper = new QueryWrapper<>();
        queryWrapper.eq("itemid", itemid);
        List<MmPredictModelEntity> list = mmPredictModelDao.selectList(queryWrapper);
        if (CollectionUtils.isEmpty(list)) {
            return new MmPredictModelEntity();
        }
        return list.get(0);
    }

    @Override
    public List<MmPredictModelEntity> getNoSettingmapPredictModel(Map<String, Object> params) {
        return mmPredictModelDao.getNoSettingmapPredictModel(params);
    }

    @Override
    public MmPredictModelEntity getActiveModelByItemId(String itemId) {
        if (activeModelMap.containsKey(itemId)) {
            return activeModelMap.get(itemId);
        }
        List<MmPredictModelEntity> list = mmPredictModelDao.getActiveModelByItemId(itemId);
        if (CollectionUtils.isEmpty(list)) {
            return null;
        }
        activeModelMap.put(itemId, list.get(0));
        return activeModelMap.get(itemId);
    }
}