添加产品汇总报表

guoyuji

2024-05-23 ef5a518c3e2c1fe41aa60f56ca31ddafa0cb1561

 north-glass-erp/src/main/java/com/example/erp/service/pp/ReportService.java

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package com.example.erp.service.pp;

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

import com.example.erp.entity.pp.DamageDetails;
import com.example.erp.entity.pp.Report;
import com.example.erp.mapper.pp.ProductionSchedulingMapper;
import com.example.erp.mapper.pp.ReportMapper;
import com.example.erp.mapper.sd.OrderProcessDetailMapper;
import org.springframework.stereotype.Service;

import java.sql.Date;
import java.time.LocalDate;
import java.util.*;

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

    private final OrderProcessDetailMapper orderProcessDetailMapper;
    private final ProductionSchedulingMapper productionSchedulingMapper;


    public ReportService(ReportMapper reportMapper, OrderProcessDetailMapper orderProcessDetailMapper,ProductionSchedulingMapper productionSchedulingMapper) {
        this.reportMapper = reportMapper;
        this.orderProcessDetailMapper = orderProcessDetailMapper;
        this.productionSchedulingMapper = productionSchedulingMapper;
    }

    //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},
                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> crossProcessBreakingSv(Integer pageNum, Integer pageSize, List<String> selectDate, DamageDetails damageDetails) {
        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, damageDetails));
        map.put("total",reportMapper.getProcessBreakingTotal(offset, pageSize, startDate, endDate, damageDetails));
        List<String> list = new ArrayList<>();
        list.add(startDate);
        list.add(endDate);
        map.put("selectDate",list);
//        map.put("total",orderMapper.getPageTotal(offset, pageSize, startDate, endDate, orderDetail));
        return map;
    }

    public Map<String,Object> workInProgressSv(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.workInProgressMp( selectTime1, selectTime2,orderId,inputProject,selectProcesses,report));
        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());
        return map;
    }

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

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