package com.example.erp.service.pp;

import com.baomidou.dynamic.datasource.annotation.DS;

import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
import com.example.erp.dto.pp.*;
import com.example.erp.entity.pp.DamageDetails;
import com.example.erp.entity.pp.Report;
import com.example.erp.entity.sd.BasicData;
import com.example.erp.entity.sd.OrderDetail;
import com.example.erp.entity.sd.OrderGlassDetail;
import com.example.erp.entity.sd.ProductDetail;
import com.example.erp.mapper.pp.FlowCardMapper;
import com.example.erp.mapper.pp.ProductionSchedulingMapper;
import com.example.erp.mapper.pp.ReportMapper;
import com.example.erp.mapper.sd.*;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.context.annotation.Bean;
import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;
import org.springframework.stereotype.Service;
import org.springframework.util.StringUtils;

import java.sql.Date;
import java.time.LocalDate;
import java.util.*;
import java.util.concurrent.Executor;
import java.util.function.Function;
import java.util.stream.Collectors;

@Service
@DS("pp")
public class ReportService {
    private final ReportMapper reportMapper;

    private final OrderProcessDetailMapper orderProcessDetailMapper;
    private final ProductionSchedulingMapper productionSchedulingMapper;

    private final OrderGlassDetailMapper orderGlassDetailMapper;
    private final BasicDataMapper basicDataMapper;
    private final ProductDetailMapper productDetailMapper;
    private final OrderDetailMapper orderDetailMapper;

    FlowCardMapper flowCardMapper;


    //上工序报工班组
    private void mergeTeamsGroupsName( List<WorkInProgressDTO> dataList1,List<WorkInProgressDTO> dataList2) {

        for (WorkInProgressDTO dto1 : dataList1) {
            //根据当前工序获取 是否为单片、夹胶、或者全部
          BasicData basicData =  basicDataMapper.
                  selectOne(new QueryWrapper<BasicData>()
                          .eq("basic_name", dto1.getThisProcess())
                          .last("limit 1")
                  );

          OrderDetail orderDetail = orderDetailMapper
                .selectOne(
                        new QueryWrapper<OrderDetail>()
                                .eq("order_id", dto1.getOrderId())
                                .eq("order_number", dto1.getOrderNumber())
                );

          //如果为单片，则根据产品名称和工艺编号获取玻璃名称
          if(basicData.getNickname()==null || basicData.getNickname().isEmpty()){
              ProductDetail productDetail = productDetailMapper.
                      selectOne(new QueryWrapper<ProductDetail>()
                              .eq("prod_id", orderDetail.getProductId())
                              .eq("glass_sort",dto1.getTechnologyNumber())
                      );
              dto1.setGlassName(productDetail.getDetail());

          }else if(basicData.getNickname().equals("stepC")){
              OrderGlassDetail orderGlassDetailGroup = orderGlassDetailMapper
                      .selectOne(new QueryWrapper<OrderGlassDetail>()
                              .eq("order_id", dto1.getOrderId())
                              .eq("order_number", dto1.getOrderNumber())
                              .eq("technology_number",dto1.getTechnologyNumber())
                      );

              String glassName = productDetailMapper.getGlassNameByGroup(
                      orderDetail.getProductId(),
                      orderGlassDetailMapper.getMinTechnologyNumberByGroup(dto1.getOrderId(),dto1.getOrderNumber(), String.valueOf(orderGlassDetailGroup.getGroup())),
                      orderGlassDetailMapper.getMaxTechnologyNumberByGroup(dto1.getOrderId(),dto1.getOrderNumber(), String.valueOf(orderGlassDetailGroup.getGroup()))
              );
              dto1.setGlassName(glassName);

          }else{
              dto1.setGlassName(dto1.getProductName());
          }

        }

        Function<WorkInProgressDTO, String> keyFn = dto ->
                dto.getProcessId() + "|" +
                        dto.getOrderNumber() + "|" +
                        dto.getTechnologyNumber();

        Map<String, WorkInProgressDTO> map2 = dataList2.stream()
                .collect(Collectors.toMap(
                        keyFn,
                        Function.identity(),
                        (existing, replacement) -> existing
                ));

        for (WorkInProgressDTO dto1 : dataList1) {
            WorkInProgressDTO dto2 = map2.get(keyFn.apply(dto1));
            if (dto2 != null) {
                String tgn = dto2.getTeamsGroupsName();
                if (StringUtils.hasText(tgn)) {
                    dto1.setTeamsGroupsName(tgn);
                }
            }
        }
    }


    public ReportService(ReportMapper reportMapper, OrderProcessDetailMapper orderProcessDetailMapper, ProductionSchedulingMapper productionSchedulingMapper, FlowCardMapper flowCardMapper, OrderGlassDetailMapper orderGlassDetailMapper, BasicDataMapper basicDataMapper, ProductDetailMapper productDetailMapper, OrderDetailMapper orderDetailMapper) {
        this.reportMapper = reportMapper;
        this.orderProcessDetailMapper = orderProcessDetailMapper;
        this.productionSchedulingMapper = productionSchedulingMapper;
        this.flowCardMapper = flowCardMapper;
        this.orderGlassDetailMapper = orderGlassDetailMapper;
        this.basicDataMapper = basicDataMapper;
        this.productDetailMapper = productDetailMapper;
        this.orderDetailMapper = orderDetailMapper;
    }

    //流程卡进度方法
    public Map<String, Object> processCardProgressSv(String orderId, List<Integer> columns) {
        Map<String, Object> map = new HashMap<>();
        //获取表格内容数据
        map.put("data", reportMapper.processCardProgressMp(orderId));

        //获取表头工序筛选数据
        List<Map<String, String>> processFilterList = orderProcessDetailMapper.filterOrderProcess(orderId);
        List<Map<String, String>> processList = processFilterList;

        List<String> filterList = new ArrayList<>();
        //循环遍历数组，判断此序号当前的工序
        for (int i = 1; i < processFilterList.size(); i++) {
            filterList.add(processFilterList.get(i).get("process"));
            List<Map<String, String>> lastProcessList =
                    orderProcessDetailMapper.filterLastProcess(
                            orderId,
                            String.valueOf(processFilterList.get(i).get("order_number")),
                            String.valueOf(processFilterList.get(i).get("technology_number")),
                            String.valueOf(processFilterList.get(i).get("id"))
                    );
            if (!lastProcessList.isEmpty()) {
                int finalI = i;
                lastProcessList.forEach(lastProcess -> {
                    if (filterList.contains(lastProcess.get("process"))) {
                        processList.add(lastProcess);
                    }
                });
            }

        }
        // 使用HashSet来记录已经遇到的value值
        Set<String> seenValues = new HashSet<>();
        // 创建一个新的List来存储结果
        List<Map<String, String>> uniqueList = new ArrayList<>();

        // 反向遍历原始List
        for (int i = processList.size() - 1; i >= 0; i--) {
            Map<String, String> maps = processList.get(i);
            String value = maps.values().iterator().next(); // 假设每个Map只有一个value

            // 如果value还没有被看到过，就添加到结果List和HashSet中
            if (!seenValues.contains(value)) {
                uniqueList.add(0, maps); // 添加到结果List的开头，以保持原顺序
                seenValues.add(value);
            }
        }
        map.put("title", uniqueList);


        List<Map<String, Integer>> getRowCount = orderProcessDetailMapper.getGlassLRow(orderId);
        List<Map<String, Integer>> rowCount = new ArrayList<>();
        columns.forEach(col -> {
            getRowCount.forEach(row -> {
                Map<String, Integer> getRow = new HashMap<>();
                // { row: 0, col: 1, rowspan: 3, colspan: 0},
                Object rowNumObj = row.get("RowNum");
                if (rowNumObj instanceof Double) {
                    getRow.put("row", ((Double) rowNumObj).intValue());
                } else if (rowNumObj instanceof Integer) {
                    getRow.put("row", (Integer) rowNumObj);
                }
                getRow.put("col", col);
                getRow.put("rowspan", row.get("rowCount"));
                getRow.put("colspan", 0);
                rowCount.add(getRow);
            });
        });


        map.put("mergeCells", rowCount);

        return map;
    }

    public Map<String, Object> crossProcessBreakingSv(Integer pageNum, Integer pageSize, List<String> selectDate, CrossProcessBreakingDTO crossProcessBreakingDTO) {
        Integer offset = (pageNum - 1) * pageSize;
        String endDate = LocalDate.now().toString();
        String startDate = LocalDate.now().minusDays(15).toString();
        if (selectDate != null && selectDate.size() == 2) {
            if (!selectDate.get(0).isEmpty()) {
                startDate = selectDate.get(0);
            }
            if (!selectDate.get(1).isEmpty()) {
                endDate = selectDate.get(1);
            }
        }
        Map<String, Object> map = new HashMap<>();
        map.put("data", reportMapper.getProcessBreaking(offset, pageSize, startDate, endDate, crossProcessBreakingDTO));
        map.put("total", reportMapper.getProcessBreakingTotal(offset, pageSize, startDate, endDate, crossProcessBreakingDTO));
        List<String> list = new ArrayList<>();
        list.add(startDate);
        list.add(endDate);
        map.put("selectDate", list);
        return map;
    }

    public Map<String, Object> workInProgressSv(Integer pageNum, Integer pageSize, String orderId, String inputProject, String selectProcesses, String optionVal, WorkInProgressDTO workInProgressDTO) {
        Integer offset = (pageNum - 1) * pageSize;
        if ("null".equals(orderId)) {
            orderId = "";
        }
        if ("null".equals(inputProject)) {
            inputProject = "";
        }
        if ("null".equals(optionVal)) {
            optionVal = ("");
        }
        if (selectProcesses.equals("全部")){
            selectProcesses="";
        }
        Map<String, Object> map = new HashMap<>();
        List<WorkInProgressDTO> dataList2  =reportMapper.workInProgressMpdataList2(offset, pageSize, orderId, inputProject, selectProcesses, workInProgressDTO);
        if (optionVal.equals("1")){
            System.out.println(1);
            /* 根据销售单号汇总*/
            //map.put("data", reportMapper.workInProgressOrderMp(offset, pageSize, orderId, inputProject, selectProcesses, workInProgressDTO));
            List<WorkInProgressDTO> dataList1  =reportMapper.workInProgressOrderMpList1(offset, pageSize, orderId, inputProject, selectProcesses, workInProgressDTO);
            mergeTeamsGroupsName(dataList1, dataList2);
            map.put("data",dataList1);
            // map.put("total", reportMapper.workInProgressOrderTotal(offset, pageSize, orderId, inputProject, selectProcesses, workInProgressDTO));
            map.put("total" ,reportMapper.workInProgressOrderFootSum(offset, pageSize,orderId, inputProject, selectProcesses, workInProgressDTO));
        }else if(optionVal.equals("2")){
            System.out.println(2);
            /* 根据流程卡号汇总*/
            //map.put("data", reportMapper.workInProgressProcessMp(offset, pageSize, orderId, inputProject, selectProcesses, workInProgressDTO));
            List<WorkInProgressDTO> dataList1  =reportMapper.workInProgressProcessMpList1(offset, pageSize, orderId, inputProject, selectProcesses, workInProgressDTO);
            mergeTeamsGroupsName(dataList1, dataList2);
            map.put("data",dataList1);
            // map.put("total", reportMapper.workInProgressProcessTotal(offset, pageSize, orderId, inputProject, selectProcesses, workInProgressDTO));
            map.put("total" ,reportMapper.workInProgressOrderFootSum(offset, pageSize,orderId, inputProject, selectProcesses, workInProgressDTO));

        } else if (optionVal.equals("3")) {

        } else {
            //没有选择分组
            //map.put("data", reportMapper.workInProgressMp(offset, pageSize, orderId, inputProject, selectProcesses, workInProgressDTO));
            List<WorkInProgressDTO> dataList1  =reportMapper.workInProgressMpdataList1(offset, pageSize, orderId, inputProject, selectProcesses, workInProgressDTO);
            mergeTeamsGroupsName(dataList1, dataList2);
            map.put("data",dataList1);
            //map.put("total", reportMapper.workInProgressTotal(offset, pageSize, orderId, inputProject, selectProcesses, workInProgressDTO));
            map.put("total" ,reportMapper.workInProgressOrderFootSum(offset, pageSize,orderId, inputProject, selectProcesses, workInProgressDTO));

        }
        map.put("process", productionSchedulingMapper.selectProcess());
        return map;
    }

    public Map<String, Object> selectProcessToBeCompletedSv(Date selectTime1, Date selectTime2, String orderId, String inputProject, String selectProcesses, Report report) {
        if ("null".equals(orderId)) {
            orderId = "";
        }
        if ("null".equals(inputProject)) {
            inputProject = "";
        }
        Map<String, Object> map = new HashMap<>();
        map.put("data", reportMapper.processToBeCompletedMp(selectTime1, selectTime2, orderId, inputProject, selectProcesses, report));
        map.put("process", productionSchedulingMapper.selectProcess());
        map.put("footSum" ,reportMapper.processToBeCompletedFootSum(selectTime1, selectTime2, orderId, inputProject, selectProcesses, report));

        return map;
    }

    public Map<String, Object> selectDamageReportSv(Integer pageNum, Integer pageSize, Date selectTime1, Date selectTime2, DamageReportDTO damageReportDTO) {
        Integer offset = (pageNum - 1) * pageSize;
        Map<String, Object> map = new HashMap<>();
        map.put("data", reportMapper.selectDamageReportMp(offset, pageSize, selectTime1, selectTime2, damageReportDTO));
        map.put("total", reportMapper.getDamageReportPageTotal(offset, pageSize, selectTime1, selectTime2, damageReportDTO));
        map.put("footSum" ,reportMapper.damageReportFootSum(selectTime1, selectTime2, damageReportDTO));
        return map;
    }

    public Map<String, Object> splittingDetailsOutsideSv(String orderId, Report report) {
        Map<String, Object> map = new HashMap<>();
        map.put("data", reportMapper.splittingDetailsOutsideMp(orderId, report));
        map.put("orderOtherMoney", flowCardMapper.selectorderOtherMoney());
        return map;
    }

    public Map<String, Object> qualityReportSv(Date selectTime1, Date selectTime2, Report report) {
        Map<String, Object> map = new HashMap<>();
        map.put("data", reportMapper.qualityReportMp(selectTime1, selectTime2, report));
        return map;
    }

    public Map<String, Object> yieldSv(Date selectTime1, Date selectTime2, String selectProcesses, Report report) {
        Map<String, Object> map = new HashMap<>();
        map.put("data", reportMapper.yieldMp(selectTime1, selectTime2, selectProcesses, report));
        map.put("process", productionSchedulingMapper.selectProcess());
        return map;
    }

    public Map<String, Object> productionScheduleSv(String orderId, List<Integer> columns) {
        Map<String, Object> map = new HashMap<>();
        //获取表格内容数据
        map.put("data", reportMapper.productionScheduleMp(orderId));

        //获取表头工序筛选数据
        List<Map<String, String>> processFilterList = orderProcessDetailMapper.filterOrderProcess(orderId);
        List<Map<String, String>> processList = processFilterList;

        List<String> filterList = new ArrayList<>();
        //循环遍历数组，判断此序号当前的工序
        for (int i = 1; i < processFilterList.size(); i++) {
            filterList.add(processFilterList.get(i).get("process"));
            List<Map<String, String>> lastProcessList =
                    orderProcessDetailMapper.filterLastProcess(
                            orderId,
                            String.valueOf(processFilterList.get(i).get("order_number")),
                            String.valueOf(processFilterList.get(i).get("technology_number")),
                            String.valueOf(processFilterList.get(i).get("id"))
                    );
            if (!lastProcessList.isEmpty()) {
                int finalI = i;
                lastProcessList.forEach(lastProcess -> {
                    if (filterList.contains(lastProcess.get("process"))) {
                        processList.add(lastProcess);
                    }
                });
            }

        }
        // 使用HashSet来记录已经遇到的value值
        Set<String> seenValues = new HashSet<>();
        // 创建一个新的List来存储结果
        List<Map<String, String>> uniqueList = new ArrayList<>();

        // 反向遍历原始List
        for (int i = processList.size() - 1; i >= 0; i--) {
            Map<String, String> maps = processList.get(i);
            String value = maps.values().iterator().next(); // 假设每个Map只有一个value

            // 如果value还没有被看到过，就添加到结果List和HashSet中
            if (!seenValues.contains(value)) {
                uniqueList.add(0, maps); // 添加到结果List的开头，以保持原顺序
                seenValues.add(value);
            }
        }
        map.put("title", uniqueList);


        List<Map<String, Integer>> getRowCount = orderProcessDetailMapper.getGlassLRow(orderId);
        List<Map<String, Integer>> rowCount = new ArrayList<>();
        columns.forEach(col -> {
            getRowCount.forEach(row -> {
                Map<String, Integer> getRow = new HashMap<>();
                // { row: 0, col: 1, rowspan: 3, colspan: 0},
                getRow.put("row", row.get("RowNum"));
                getRow.put("col", col);
                getRow.put("rowspan", row.get("rowCount"));
                getRow.put("colspan", 0);
                rowCount.add(getRow);
            });
        });


        map.put("mergeCells", rowCount);

        return map;
    }

    public Map<String, Object> taskCompletionStatusSv(Date selectTime1, Date selectTime2, List<Integer> columns) {
        Map<String, Object> map = new HashMap<>();
        //获取表格内容数据
        map.put("data", reportMapper.taskCompletionStatusMp(selectTime1, selectTime2));

        //获取表头工序筛选数据
        List<Map<String, String>> processFilterList = orderProcessDetailMapper.filterOrderProcessCollect(selectTime1, selectTime2);
        List<Map<String, String>> processList = processFilterList;

        List<String> filterList = new ArrayList<>();
        //循环遍历数组，判断此序号当前的工序
        for (int i = 1; i < processFilterList.size(); i++) {
            filterList.add(processFilterList.get(i).get("process"));
            List<Map<String, String>> lastProcessList =
                    orderProcessDetailMapper.filterLastProcess(
                            String.valueOf(processFilterList.get(i).get("order_id")),
                            String.valueOf(processFilterList.get(i).get("order_number")),
                            String.valueOf(processFilterList.get(i).get("technology_number")),
                            String.valueOf(processFilterList.get(i).get("id"))
                    );
            if (!lastProcessList.isEmpty()) {
                int finalI = i;
                lastProcessList.forEach(lastProcess -> {
                    if (filterList.contains(lastProcess.get("process"))) {
                        processList.add(lastProcess);
                    }
                });
            }

        }
        // 使用HashSet来记录已经遇到的value值
        Set<String> seenValues = new HashSet<>();
        // 创建一个新的List来存储结果
        List<Map<String, String>> uniqueList = new ArrayList<>();

        // 反向遍历原始List
        for (int i = processList.size() - 1; i >= 0; i--) {
            Map<String, String> maps = processList.get(i);
            String value = maps.values().iterator().next(); // 假设每个Map只有一个value

            // 如果value还没有被看到过，就添加到结果List和HashSet中
            if (!seenValues.contains(value)) {
                uniqueList.add(0, maps); // 添加到结果List的开头，以保持原顺序
                seenValues.add(value);
            }
        }
        map.put("title", uniqueList);


        List<Map<String, Integer>> getRowCount = orderProcessDetailMapper.getGlassLRowCollect(selectTime1, selectTime2);
        List<Map<String, Integer>> rowCount = new ArrayList<>();
        columns.forEach(col -> {
            getRowCount.forEach(row -> {
                Map<String, Integer> getRow = new HashMap<>();
                // { row: 0, col: 1, rowspan: 3, colspan: 0},
                getRow.put("row", row.get("RowNum"));
                getRow.put("col", col);
                getRow.put("rowspan", row.get("rowCount"));
                getRow.put("colspan", 0);
                rowCount.add(getRow);
            });
        });


        map.put("mergeCells", rowCount);

        return map;
    }

    public Map<String, Object> orderPlanDecompositionSv(Date selectTime1, Date selectTime2, Report report) {
        Map<String, Object> map = new HashMap<>();
        map.put("data", reportMapper.orderPlanDecompositionMp(selectTime1, selectTime2, report));
        return map;
    }

    public Map<String, Object> orderReportingWorks(Date selectTime1, Date selectTime2, Report report) {
        Map<String, Object> map = new HashMap<>();
        map.put("data", reportMapper.orderReportingWorks(selectTime1, selectTime2, report));
        return map;
    }

    public Map<String, Object> rawMaterialRequisitionSv(Date selectTime1, Date selectTime2, Report report) {
        Map<String, Object> map = new HashMap<>();
        map.put("data", reportMapper.rawMaterialRequisitionMp(selectTime1, selectTime2, report));
        return map;
    }

    public List exportCrossProcessBreakingSv(List<LocalDate> dates) {
        return reportMapper.exportCrossProcessBreakingMp(dates);
    }

    public List exportDamageReportSv(List<LocalDate> dates) {
        if (dates != null && dates.size() > 1) {
            dates.set(1, dates.get(1).plusDays(1)); // 将第二个日期加一天
        }
        return reportMapper.exportDamageReportMp(dates);
    }

    public List exportOrderPlanDecompositionSv(List<LocalDate> dates) {
        return reportMapper.exportOrderPlanDecompositionMp(dates);
    }

    public List exportProcessToBeCompletedSv(Map<String, Object> dates) {
        List<LocalDate> date= (List<LocalDate>) dates.get("date");
        String process= (String) dates.get("processes");
        String inputVal= (String) dates.get("inputVal");
        String project= (String) dates.get("project");
        if ("null".equals(inputVal)) {
            inputVal = "";
        }
        if ("null".equals(project)) {
            project = "";
        }
        return reportMapper.exportProcessToBeCompletedMp(date,process,inputVal,project);
    }

    public List exportWorkInProgressSv(Map<String, Object> dates) {
        String process= (String) dates.get("processes");
        if (process.equals("全部")){
            process="";
        }
        String inputVal= (String) dates.get("inputVal");
        String project= (String) dates.get("project");
        if ("null".equals(inputVal)) {
            inputVal = "";
        }
        if ("null".equals(project)) {
            project = "";
        }
        List<WorkInProgressDTO> dataList1  =reportMapper.exportWorkInProgressMp(process,inputVal,project);
        List<WorkInProgressDTO> dataList2  =reportMapper.exportWorkInProgressMpdataList2(process);

        mergeTeamsGroupsName(dataList1, dataList2);
        return dataList1;
    }

    public List exportTaskCompletionStatusSv(Map<String, Object> dates) {
        return reportMapper.exportTaskCompletionStatusMp(dates);
    }

    public List exportRawMaterialRequisitionSv(List<LocalDate> dates) {
        return reportMapper.exportRawMaterialRequisitionMp(dates);
    }

    public List exportQualityReportSv(List<LocalDate> dates) {
        return reportMapper.exportQualityReportSv(dates);
    }

    public List exportYieldSv(Map<String, Object> dates) {
        List<LocalDate> date= (List<LocalDate>) dates.get("date");
        String process= (String) dates.get("processes");
        return reportMapper.exportYieldMp(date,process);
    }

    public Map<String, Object> teamOutputSv(Integer pageNum, Integer pageSize, String selectTime1, String selectTime2, String selectProcesses, TeamOutputDTO teamOutputDTO) {
        if (selectProcesses.equals("全部")){
            selectProcesses="";
        }
        Integer offset = (pageNum - 1) * pageSize;
        Map<String, Object> map = new HashMap<>();
        String laminating = reportMapper.getLaminating(selectProcesses);
        map.put("data", reportMapper.teamOutputMp(offset, pageSize, selectTime1, selectTime2,selectProcesses,laminating, teamOutputDTO));
        map.put("process", productionSchedulingMapper.selectProcess());
        map.put("total", reportMapper.teamOutputPageTotal(offset, pageSize, selectTime1, selectTime2,selectProcesses,laminating, teamOutputDTO));
        map.put("footSum" ,reportMapper.teamOutputFootSum(selectTime1, selectTime2,selectProcesses,laminating, teamOutputDTO));
        return map;
    }

    public Map<String, Object> scheduleProductionScheduleSv(Integer pageNum, Integer pageSize, Date selectTime1, Date selectTime2, String processes, ScheduleProductionScheduleDTO scheduleProductionScheduleDTO) {
        Integer offset = (pageNum - 1) * pageSize;
        Map<String, Object> map = new HashMap<>();
        map.put("data", reportMapper.scheduleProductionScheduleMp(offset, pageSize, selectTime1, selectTime2,processes, scheduleProductionScheduleDTO));
        map.put("total", reportMapper.getScheduleProductionScheduleTotal(offset, pageSize, selectTime1, selectTime2,processes, scheduleProductionScheduleDTO));
        map.put("process", productionSchedulingMapper.selectProcess());
        return map;
    }

    public List exportScheduleReportSv(Map<String, Object> dates) {
        List<LocalDate> date= (List<LocalDate>) dates.get("date1");
        String process= (String) dates.get("processes");
        return reportMapper.exportScheduleReportMp(date,process);
    }

    public List exportTeamOutputSv(Map<String, Object> dates) {
        List<LocalDate> date= (List<LocalDate>) dates.get("date");
        String process= (String) dates.get("processes");
        if (process.equals("全部")){
            process="";
        }
        String laminating = reportMapper.getLaminating(process);
        return reportMapper.exportTeamOutputMp(date,process,laminating);
    }

    public Map<String, Object> workInProgressCombinationSv(Integer pageNum, Integer pageSize, String selectProcesses, String optionVal, WorkInProgressDTO workInProgressDTO) {
        Integer offset = (pageNum - 1) * pageSize;

        if ("null".equals(optionVal)) {
            optionVal = ("");
        }
        if (selectProcesses.equals("全部")){
            selectProcesses="";
        }
        Map<String, Object> map = new HashMap<>();
        List<WorkInProgressDTO> dataList2  =reportMapper.workInProgressCombinationMpdataList2(offset, pageSize, selectProcesses, workInProgressDTO);

            //没有选择分组
            //map.put("data", reportMapper.workInProgressMp(offset, pageSize, orderId, inputProject, selectProcesses, workInProgressDTO));
            List<WorkInProgressDTO> dataList1  =reportMapper.workInProgressCombinationMpdataList1(offset, pageSize,  selectProcesses, workInProgressDTO);
            mergeTeamsGroupsName(dataList1, dataList2);
            map.put("data",dataList1);
            //map.put("total", reportMapper.workInProgressTotal(offset, pageSize, orderId, inputProject, selectProcesses, workInProgressDTO));
            map.put("total" ,reportMapper.workInProgressCombinationOrderFootSum(offset, pageSize, selectProcesses, workInProgressDTO));


        map.put("process", productionSchedulingMapper.selectProcess());
        return map;
    }
}