产品供销存-后端
blame | 历史 | 补丁 | 提交 | 提交对比 | 忽略空白
maven
2025-11-12 28c0d364e7ff349a77037c3770acaa9f656fb93b 
 src/main/java/com/ruoyi/production/service/impl/SalesLedgerSchedulingServiceImpl.java


@@ -4,16 +4,22 @@


import com.baomidou.mybatisplus.core.metadata.IPage;


import com.baomidou.mybatisplus.extension.plugins.pagination.Page;


import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;


import com.ruoyi.common.utils.DateUtils;


import com.ruoyi.common.utils.SecurityUtils;


import com.ruoyi.common.utils.poi.ExcelUtil;


import com.ruoyi.procurementrecord.dto.ProcurementRecordOutPageDto;


import com.ruoyi.framework.security.LoginUser;


import com.ruoyi.production.dto.*;


import com.ruoyi.production.mapper.SalesLedgerSchedulingMapper;


import com.ruoyi.production.mapper.SalesLedgerWorkMapper;


import com.ruoyi.production.mapper.SpeculativeTradingInfoMapper;


import com.ruoyi.production.pojo.SalesLedgerScheduling;


import com.ruoyi.production.pojo.SalesLedgerWork;


import com.ruoyi.production.pojo.SpeculativeTradingInfo;


import com.ruoyi.production.service.SalesLedgerSchedulingService;


import com.ruoyi.project.system.domain.SysUser;


import com.ruoyi.project.system.mapper.SysUserMapper;


import com.ruoyi.sales.mapper.SalesLedgerProductMapper;


import com.ruoyi.sales.pojo.SalesLedgerProduct;


import lombok.RequiredArgsConstructor;


import lombok.extern.slf4j.Slf4j;


import org.springframework.beans.BeanUtils;


@@ -25,8 +31,11 @@


import java.time.LocalDate;


import java.time.format.DateTimeFormatter;


import java.util.ArrayList;


import java.util.Arrays;


import java.util.List;


import java.util.Set;


import java.util.concurrent.atomic.AtomicInteger;


import java.util.concurrent.atomic.AtomicReference;


import java.util.stream.Collectors;




/**


@@ -61,10 +70,12 @@


                    .map(SalesLedgerWork::getFinishedNum)


                    .reduce(BigDecimal.ZERO, BigDecimal::add));


            // 状态 = 数量和完工数量比较


            if(i.getSchedulingNum().compareTo(i.getSuccessNum()) == 0){


            if(i.getSchedulingNum().compareTo(new BigDecimal(0)) == 0){


                i.setStatus("未完成");


            } else if(i.getSchedulingNum().compareTo(i.getSuccessNum()) == 0){


                i.setStatus("已完成");


            }else{


                i.setStatus("未完成");


                i.setStatus("生产中");


            }


        });


        return list;


@@ -95,20 +106,145 @@




    private final SysUserMapper sysUserMapper;




    private final SpeculativeTradingInfoMapper speculativeTradingInfoMapper;




    @Override


    public int productionDispatch(ProductionDispatchAddDto productionDispatchAddDto) {


        SysUser sysUser = sysUserMapper.selectUserById(productionDispatchAddDto.getSchedulingUserId());


        if(sysUser == null) throw new RuntimeException("排产人不存在");


        SalesLedgerScheduling salesLedgerScheduling = SalesLedgerScheduling.builder()


                .salesLedgerId(productionDispatchAddDto.getSalesLedgerId())


                .salesLedgerProductId(productionDispatchAddDto.getSalesLedgerProductId())


                .schedulingUserId(productionDispatchAddDto.getSchedulingUserId())


                .schedulingUserName(sysUser.getNickName())


                .schedulingNum(productionDispatchAddDto.getSchedulingNum())


                .schedulingDate(LocalDate.parse(productionDispatchAddDto.getSchedulingDate(), DateTimeFormatter.ISO_LOCAL_DATE))


                .status(1)


                .build();


        return salesLedgerSchedulingMapper.insert(salesLedgerScheduling);


    public String productionDispatch(List<ProductionDispatchAddDto> productionDispatchAddDtoList) {


        int i = 0;


        int successNum = 0;


        LoginUser loginUser = SecurityUtils.getLoginUser();


        for (ProductionDispatchAddDto productionDispatchAddDto : productionDispatchAddDtoList) {


            SysUser sysUser = sysUserMapper.selectUserById(productionDispatchAddDto.getSchedulingUserId() == null ? loginUser.getUser().getUserId() : productionDispatchAddDto.getSchedulingUserId());


            if(sysUser == null){


                i++;


                continue;


            }


            // 获取空余炒机


            String[] split = productionDispatchAddDto.getSpeculativeTradingName().split(",");


            if(split != null && split.length == 0){


                i++;


                continue;


            }


            List<SpeculativeTradingInfo> speculativeTradingInfos = speculativeTradingInfoMapper.selectList(new LambdaQueryWrapper<SpeculativeTradingInfo>()


                    .in(SpeculativeTradingInfo::getName, Arrays.asList(split))


                    .orderByAsc(SpeculativeTradingInfo::getSort));


            if(CollectionUtils.isEmpty(speculativeTradingInfos)){


                i++;


                continue;


            }


            AtomicReference<String> name = new AtomicReference<>("");  //需要绑定的炒机


            //通过规格型号和排产数量计算本次生产产量


            String[] split1 = productionDispatchAddDto.getSpecificationModel().split("\\*");


            if(split1.length != 2){


                i++;


                continue;


            }


            // 本次生产产量


            BigDecimal productionNum = new BigDecimal(split1[0])


                    .multiply(new BigDecimal(split1[1]).multiply(productionDispatchAddDto.getSchedulingNum()));


            // 多个炒机情况


            if(speculativeTradingInfos.size() > 1){


                for (SpeculativeTradingInfo speculativeTradingInfo : speculativeTradingInfos) {


                    // 获取该炒机正在排产量


                    BigDecimal schedulingNumBySpeculativeTradingName = getSchedulingNumBySpeculativeTradingName(speculativeTradingInfo.getName());


                    // 如果该炒机总量(单位kg需要乘1000) - 正在排产量 >=本次生产产量就分配此炒机


                    if(speculativeTradingInfo.getWorkLoad().multiply(new BigDecimal(1000)).subtract(schedulingNumBySpeculativeTradingName).compareTo(productionNum) >= 0){


                        name.set(speculativeTradingInfo.getName());


                        break;


                    }


                }


            }else{


                // 单个炒机情况


                name.set(speculativeTradingInfos.get(0).getName());


            }


            if(name.get().isEmpty()){


                i++;


                continue;


            }


            SalesLedgerScheduling salesLedgerScheduling = SalesLedgerScheduling.builder()


                    .salesLedgerId(productionDispatchAddDto.getSalesLedgerId())


                    .salesLedgerProductId(productionDispatchAddDto.getSalesLedgerProductId())


                    .speculativeTradingName(name.get())


                    .schedulingUserId(sysUser.getUserId())


                    .schedulingUserName(sysUser.getNickName())


                    .schedulingNum(productionDispatchAddDto.getSchedulingNum())


                    .schedulingDate(productionDispatchAddDto.getSchedulingDate() == null ? LocalDate.now() : LocalDate.parse(productionDispatchAddDto.getSchedulingDate(), DateTimeFormatter.ofPattern("yyyy-MM-dd")))


                    .status(1)


                    .build();


            salesLedgerSchedulingMapper.insert(salesLedgerScheduling);


            successNum++;


        }




        return "派工成功数量" + successNum + "，失败数量" + i;


    }




    private final SalesLedgerProductMapper salesLedgerProductMapper;




    /**


     *通过炒机名称获取当天正在排产量


     * @return


     */


    public BigDecimal getSchedulingNumBySpeculativeTradingName(String speculativeTradingName){


        LambdaQueryWrapper<SalesLedgerScheduling> queryWrapper = new LambdaQueryWrapper<>();


        queryWrapper.eq(SalesLedgerScheduling::getSpeculativeTradingName, speculativeTradingName)


                .eq(SalesLedgerScheduling::getSchedulingDate, LocalDate.now());


        List<SalesLedgerScheduling> salesLedgerSchedulings = salesLedgerSchedulingMapper.selectList(queryWrapper);


        if(CollectionUtils.isEmpty(salesLedgerSchedulings)){


            return BigDecimal.ZERO;


        }


        List<Long> collect = salesLedgerSchedulings.stream().map(SalesLedgerScheduling::getSalesLedgerProductId).collect(Collectors.toList());


        List<SalesLedgerProduct> salesLedgerProducts = salesLedgerProductMapper.selectList(new LambdaQueryWrapper<SalesLedgerProduct>()


                .in(SalesLedgerProduct::getId, collect));


        if(CollectionUtils.isEmpty(salesLedgerProducts)) return BigDecimal.ZERO;


        AtomicInteger totalNum = new AtomicInteger(0); //总数


        salesLedgerSchedulings.forEach(item ->{


            List<SalesLedgerProduct> collect1 = salesLedgerProducts.stream()


                    .filter(j -> j.getId().equals(item.getSalesLedgerProductId()))


                    .collect(Collectors.toList());


            if(!CollectionUtils.isEmpty(collect1)){


                SalesLedgerProduct salesLedgerProduct = collect1.get(0);


                // 根据产品规格 * 排产数量 获取本次生产产量并累计


                String[] split = salesLedgerProduct.getSpecificationModel().split("\\*");


                BigDecimal productionNum = new BigDecimal(split[0])


                        .multiply(new BigDecimal(split[1]).multiply(item.getSchedulingNum()));


                totalNum.addAndGet(productionNum.intValue());


            }


        });


        return new BigDecimal(totalNum.get());


    }






    /**


     *通过批量炒机名称获取当天正在排产量


     * @return


     */


    public BigDecimal getSchedulingNumBySpeculativeTradingNameList(List<String> speculativeTradingName){


        LambdaQueryWrapper<SalesLedgerScheduling> queryWrapper = new LambdaQueryWrapper<>();


        queryWrapper.in(SalesLedgerScheduling::getSpeculativeTradingName, speculativeTradingName)


                .eq(SalesLedgerScheduling::getSchedulingDate, LocalDate.now());


        List<SalesLedgerScheduling> salesLedgerSchedulings = salesLedgerSchedulingMapper.selectList(queryWrapper);


        if(CollectionUtils.isEmpty(salesLedgerSchedulings)){


            return BigDecimal.ZERO;


        }


        List<Long> collect = salesLedgerSchedulings.stream().map(SalesLedgerScheduling::getSalesLedgerProductId).collect(Collectors.toList());


        List<SalesLedgerProduct> salesLedgerProducts = salesLedgerProductMapper.selectList(new LambdaQueryWrapper<SalesLedgerProduct>()


                .in(SalesLedgerProduct::getId, collect));


        if(CollectionUtils.isEmpty(salesLedgerProducts)) return BigDecimal.ZERO;


        AtomicInteger totalNum = new AtomicInteger(0); //总数


        salesLedgerSchedulings.forEach(item ->{


            List<SalesLedgerProduct> collect1 = salesLedgerProducts.stream()


                    .filter(j -> j.getId().equals(item.getSalesLedgerProductId()))


                    .collect(Collectors.toList());


            if(!CollectionUtils.isEmpty(collect1)){


                SalesLedgerProduct salesLedgerProduct = collect1.get(0);


                // 根据产品规格 * 排产数量 获取本次生产产量并累计


                String[] split = salesLedgerProduct.getSpecificationModel().split("\\*");


                BigDecimal productionNum = new BigDecimal(split[0])


                        .multiply(new BigDecimal(split[1]).multiply(item.getSchedulingNum()));


                totalNum.addAndGet(productionNum.intValue());


            }


        });


        return new BigDecimal(totalNum.get());


    }




    @Override


@@ -171,6 +307,7 @@


                    .remark(processSchedulingDto.getRemark())


                    .type(processSchedulingDto.getType())


                    .loss(processSchedulingDto.getLoss())


                    .receive(processSchedulingDto.getReceive())


                    .salesLedgerProductId(salesLedgerScheduling.getSalesLedgerProductId())


                    .schedulingUserId(salesLedgerScheduling.getSchedulingUserId())


                    .schedulingUserName(sysUser.getNickName())