maven
昨天 7bb896bae167d1e8dead295ab45af5c1e59593f2
src/main/java/com/ruoyi/lavorissue/controller/LavorIssueController.java
@@ -18,7 +18,9 @@
import com.ruoyi.lavorissue.pojo.LaborIssue;
import com.ruoyi.lavorissue.service.LavorIssueService;
import com.ruoyi.project.system.domain.SysDept;
import com.ruoyi.project.system.domain.SysDictData;
import com.ruoyi.project.system.mapper.SysDeptMapper;
import com.ruoyi.project.system.service.ISysDictDataService;
import io.swagger.annotations.Api;
import io.swagger.annotations.ApiOperation;
import org.springframework.beans.BeanUtils;
@@ -33,8 +35,10 @@
import java.time.LocalDate;
import java.time.format.DateTimeFormatter;
import java.util.Date;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;
/**
 * @author :yys
@@ -54,6 +58,9 @@
    @Autowired
    private SysDeptMapper sysDeptMapper;
    @Autowired
    private ISysDictDataService iSysDictDataService;
    @GetMapping("/listPage")
    @Log(title = "劳保发放-分页查询", businessType = BusinessType.OTHER)
    @ApiOperation("劳保发放-分页查询")
@@ -70,11 +77,45 @@
        return AjaxResult.success(listPage);
    }
    /**
     * 根据 dictId 分组统计领用数量(num)总和
     * @param laborIssueList 原始数据列表
     * @return key: dictId, value: 该字典下的总领用数量
     */
    public Map<String, Long> statisticsByDictId(List<LaborIssueDto> laborIssueList) {
        // 空值校验,避免空指针异常
        if (laborIssueList == null || laborIssueList.isEmpty()) {
            return new HashMap<>(); // 低版本可用 new HashMap<>()
        }
        // 核心分组统计逻辑
        return laborIssueList.stream()
                // 过滤掉无效数据(dictId为空 或 num为空/小于0的情况)
                .filter(dto -> dto.getDictId() != null && !dto.getDictId().isEmpty())
                .filter(dto -> dto.getNum() != null && dto.getNum() >= 0)
                // 按 dictId 分组,累加 num 数量
                .collect(Collectors.groupingBy(
                        LaborIssueDto::getDictId,  // 分组依据:dictId
                        Collectors.summingLong(LaborIssueDto::getNum)  // 求和:num
                ));
    }
    @PostMapping("/add")
    @Log(title = "劳保发放-添加", businessType = BusinessType.INSERT)
    @ApiOperation("劳保发放-添加")
    @Transactional(rollbackFor = Exception.class)
    public AjaxResult add(@RequestBody LaborIssue laborIssue){
        SysDictData dictData = new SysDictData();
        dictData.setDictType("sys_lavor_issue");
        List<SysDictData> sysDictData = iSysDictDataService.selectDictDataList(dictData);
        Map<String, Long> stringLongMap = statisticsByDictId(laborIssue.getLaborIssueList());
        // 判断库存是否充足
        for (SysDictData sysDictDatum : sysDictData) {
            Long aLong = stringLongMap.get(sysDictDatum.getDictValue());
            if (aLong != null && aLong > sysDictDatum.getNum()) {
                throw new RuntimeException("库存不足");
            }
        }
        for (LaborIssueDto issue : laborIssue.getLaborIssueList()) {
            LaborIssue  laborIssue1 = new LaborIssue();
            BeanUtils.copyProperties(laborIssue, laborIssue1);
@@ -86,13 +127,31 @@
                    .lt(LaborIssue::getCreateTime, dateTime.getEndDate()));
            String formattedCount = String.format("%03d", approveId + 1);
            laborIssue1.setOrderNo(today + formattedCount);
//            List<LaborIssue> laborIssues = lavorIssueMapper.selectList(new LambdaQueryWrapper<LaborIssue>()
//                    .like(LaborIssue::getOrderNo, today));
//            if(!CollectionUtils.isEmpty(laborIssues)){
//                long l = Long.parseLong(laborIssues.get(laborIssues.size() - 1).getOrderNo());
//                issue.setOrderNo(String.format("%03d", l + 1));
//            }
            List<LaborIssue> laborIssues = lavorIssueMapper.selectList(new LambdaQueryWrapper<LaborIssue>()
                    .like(LaborIssue::getOrderNo, today)
                    .orderByDesc(LaborIssue::getOrderNo)
                    .last("LIMIT 1"));
            if(!CollectionUtils.isEmpty(laborIssues)){
                LaborIssue laborIssue2 = laborIssues.get(0);
                // 当laborIssue2的编号大于laborIssue1的编号,则使用laborIssue2的编号加1
                long l = Long.parseLong(laborIssue2.getOrderNo());
                long l1 = Long.parseLong(laborIssue1.getOrderNo());
                if(l >= l1){
                    laborIssue1.setOrderNo(l + 1 + "");
                }
            }
            laborIssueService.save(laborIssue1);
            // 减库存
            List<SysDictData> collect = sysDictData
                    .stream()
                    .filter(item -> item.getDictValue().equals(issue.getDictId()))
                    .collect(Collectors.toList());
            if(!CollectionUtils.isEmpty(collect)){
                SysDictData sysDictData1 = collect.get(0);
                sysDictData1.setNum(sysDictData1.getNum() - issue.getNum());
                iSysDictDataService.updateDictData(sysDictData1);
            }
        }
        return AjaxResult.success();
    }
@@ -122,6 +181,27 @@
        return AjaxResult.success(statisticsLaborIssue);
    }
    @ApiOperation("发放进度-总计")
    @GetMapping("/progressTotal")
    public AjaxResult progressTotal(LaborIssue laborIssue) throws Exception {
        Map<String, Object> list = laborIssueService.progressTotal(laborIssue);
        return AjaxResult.success(list);
    }
    @ApiOperation("领取进度占比")
    @GetMapping("/progressPercent")
    public AjaxResult progressPercent(LaborIssue laborIssue) throws Exception {
        Map<String, Object> list = laborIssueService.progressPercent(laborIssue);
        return AjaxResult.success(list);
    }
    @ApiOperation("进度分布")
    @GetMapping("/progressDistribution")
    public AjaxResult progressDistribution(LaborIssue laborIssue) throws Exception {
        Map<String, Object> list = laborIssueService.progressDistribution(laborIssue);
        return AjaxResult.success(list);
    }
    /**