feat:商品资料导出新增时长字段

jyy

2022-04-15 f57554f7da5e4d05b4b4bab99bf49ac9ca8c2038

 zq-erp/src/main/java/com/matrix/system/hive/service/imp/DataAnalysisCustomerServiceImpl.java

@@ -3,9 +3,11 @@
import com.matrix.core.constance.MatrixConstance;
import com.matrix.core.pojo.AjaxResult;
import com.matrix.core.tools.WebUtil;
import com.matrix.system.app.dto.VipStatisticsParamDto;
import com.matrix.system.common.bean.SysCompany;
import com.matrix.system.common.bean.SysUsers;
import com.matrix.system.common.dao.SysCompanyDao;
import com.matrix.system.common.dao.SysUsersDao;
import com.matrix.system.common.tools.DataAuthUtil;
import com.matrix.system.hive.bean.SysShopInfo;
import com.matrix.system.hive.dao.SysShopInfoDao;
@@ -28,6 +30,9 @@
    @Autowired
    private SysCompanyDao sysCompanyDao;

    @Autowired
    private SysUsersDao sysUsersDao;

    /**
     * 按店铺查询数据通用格式执行方法,支持时、日、月、年维度
     * 如：              A店铺    B店铺
@@ -49,7 +54,7 @@
        SysUsers user = WebUtil.getSessionAttribute(MatrixConstance.LOGIN_KEY);
        List<SysShopInfo> shops = null;
        if (statisticsParam.getShopId() != null) {
            shops = Arrays.asList(shopInfoDao.selectById(statisticsParam.getShopId()));
            shops = Arrays.asList(shopInfoDao.selectById(user.getShopId()));
        } else {
            if (DataAuthUtil.hasAllShopAuth()) {
                shops = shopInfoDao.selectShopInfo(user.getCompanyId());
@@ -84,7 +89,8 @@
        Map<Object, Object> data = new HashMap<>();
        data.put("legendData", legendData);
        data.put("series", series);
        data.put("xAxis", StatisticsTimeUtil.getFormartDateList(xAxis, statisticsParam));
        String[] xData = StatisticsTimeUtil.getFormartDateList(xAxis, statisticsParam);
        data.put("xAxis", Arrays.copyOf(xData, xData.length - 1));
        result.setMapInfo(data);
        result.setStatus(AjaxResult.STATUS_SUCCESS);
        return result;
@@ -107,6 +113,8 @@
        //定义数据主体
        String[] legendData = new String[1];

        int i = 0;

        //按门店统计数据
        List<StatisticsTimeDaoParam> timeSpaceParam = StatisticsTimeUtil.buidParam(xAxis);

@@ -124,7 +132,59 @@
        Map<Object, Object> data = new HashMap<>();
        data.put("legendData", legendData);
        data.put("series", series);
        data.put("xAxis", StatisticsTimeUtil.getFormartDateList(xAxis, statisticsParam));
        String[] xData = StatisticsTimeUtil.getFormartDateList(xAxis, statisticsParam);
        data.put("xAxis", Arrays.copyOf(xData, xData.length - 1));
        result.setMapInfo(data);
        result.setStatus(AjaxResult.STATUS_SUCCESS);
        return result;
    }

    public AjaxResult getStaffAnalysisResult(VipStatisticsParamDto statisticsParam, Caculate caculate) {
        AjaxResult result = new AjaxResult();

        //根据计算横坐标
        List<Date> xAxis = StatisticsTimeUtil.getTimeSpace(statisticsParam.getBeginTime(), statisticsParam.getEndTime(), statisticsParam.getStatisticsUnit());

        //获取所有门店
        SysUsers user = WebUtil.getSessionAttribute(MatrixConstance.LOGIN_KEY);

        Long staffId = null;
        if (statisticsParam.getStaffId() == null) {
            staffId = user.getSuId();
        } else {
            staffId = statisticsParam.getStaffId();
        }
        SysUsers sysUsers = sysUsersDao.selectById(staffId);

        //定义数据项内容
        List<SeriesVo> series = new ArrayList<>();

        //定义数据主体
        String[] legendData = new String[1];

        int i = 0;

        //按门店统计数据
        List<StatisticsTimeDaoParam> timeSpaceParam = StatisticsTimeUtil.buidParam(xAxis);

        legendData[0] = sysUsers.getSuName();
        //数据项内容
        SeriesVo storeInfoSeries = new SeriesVo();
        storeInfoSeries.setName(sysUsers.getSuName());
        //调用计算器获取数据库统计的结果
        Map<String, Integer> yAxisMap = caculate.exec(timeSpaceParam, null, sysUsers.getSuId());
        //把统计结果转成数组格式
        storeInfoSeries.setData(StatisticsTimeUtil.getSeries(yAxisMap));
        series.add(storeInfoSeries);

        //构造返回对象
        Map<Object, Object> data = new HashMap<>();
        data.put("legendData", legendData);
        data.put("series", series);
        StatisticsParamVo statisticsParam1 = new StatisticsParamVo();
        statisticsParam1.setStatisticsUnit(statisticsParam.getStatisticsUnit());
        String[] xData = StatisticsTimeUtil.getFormartDateList(xAxis, statisticsParam1);
        data.put("xAxis", Arrays.copyOf(xData, xData.length - 1));
        result.setMapInfo(data);
        result.setStatus(AjaxResult.STATUS_SUCCESS);
        return result;