销售看板统计的汇总

zss

8 小时以前 171c413e6a3d1e4c24fae4fa54fcb7982a1a822d

 src/main/java/com/ruoyi/home/service/impl/HomeServiceImpl.java

@@ -3,6 +3,7 @@
import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
import com.baomidou.mybatisplus.core.toolkit.ObjectUtils;
import com.baomidou.mybatisplus.core.toolkit.Wrappers;
import com.baomidou.mybatisplus.extension.plugins.pagination.Page;
import com.ruoyi.account.mapper.AccountIncomeMapper;
import com.ruoyi.account.pojo.AccountExpense;
@@ -41,6 +42,9 @@
import com.ruoyi.production.mapper.SalesLedgerProductionAccountingMapper;
import com.ruoyi.production.pojo.ProductProcess;
import com.ruoyi.production.pojo.ProductWorkOrder;
import com.ruoyi.productionPlan.enums.AddressRegionEnum;
import com.ruoyi.productionPlan.mapper.SalesDeliveryMapper;
import com.ruoyi.productionPlan.pojo.SalesDelivery;
import com.ruoyi.project.system.domain.SysDept;
import com.ruoyi.project.system.mapper.SysDeptMapper;
import com.ruoyi.purchase.mapper.PaymentRegistrationMapper;
@@ -145,12 +149,15 @@

    @Autowired
    private ProductProcessMapper productProcessMapper;
    

    @Autowired
    private AccountExpenseMapper accountExpenseMapper;

    @Autowired
    private AccountIncomeMapper accountIncomeMapper;

    @Autowired
    private SalesDeliveryMapper salesDeliveryMapper;

    @Override
    public HomeBusinessDto business() {
@@ -185,28 +192,31 @@
        LambdaQueryWrapper<PurchaseLedger> queryWrapper = new LambdaQueryWrapper<>();
        queryWrapper.ge(PurchaseLedger::getEntryDate, currentMonth.atDay(1).atStartOfDay()) // 大于等于本月第一天
                .lt(PurchaseLedger::getEntryDate, currentMonth.plusMonths(1).atDay(1).atStartOfDay()); // 小于下月第一天
        // 执行查询并计算总和

        List<PurchaseLedger> purchaseLedgers = purchaseLedgerMapper.selectList(queryWrapper);
        if (!CollectionUtils.isEmpty(purchaseLedgers)) {
            LambdaQueryWrapper<SalesLedgerProduct> salesLedgerProductMapperLambdaQueryWrapperCopy = new LambdaQueryWrapper<SalesLedgerProduct>();
            salesLedgerProductMapperLambdaQueryWrapperCopy.eq(SalesLedgerProduct::getType, 2)
            LambdaQueryWrapper<SalesLedgerProduct> salesLedgerProductMapperLambdaQueryWrapperCopy = new LambdaQueryWrapper<>();
            salesLedgerProductMapperLambdaQueryWrapperCopy.eq(SalesLedgerProduct::getType, 2) // 采购类型
                    .in(SalesLedgerProduct::getSalesLedgerId,
                            purchaseLedgers.stream().map(PurchaseLedger::getId).collect(Collectors.toList()));

            List<SalesLedgerProduct> salesLedgerProductsCopy = salesLedgerProductMapper
                    .selectList(salesLedgerProductMapperLambdaQueryWrapperCopy);
            // 合计合同金额

            // 合计合同总金额
            BigDecimal receiveAmount = purchaseLedgers.stream()
                    .map(PurchaseLedger::getContractAmount)
                    .filter(Objects::nonNull)
                    .reduce(BigDecimal.ZERO, BigDecimal::add);
            // 未开票金额

            //  待付款总金额
            BigDecimal unReceiptPaymentAmount = salesLedgerProductsCopy.stream()
                    .map(SalesLedgerProduct::getNoInvoiceAmount)
                    .map(SalesLedgerProduct::getPendingTicketsTotal)
                    .filter(Objects::nonNull)
                    .reduce(BigDecimal.ZERO, BigDecimal::add);

            homeBusinessDto.setMonthPurchaseMoney(receiveAmount.setScale(2, RoundingMode.HALF_UP).toString());
            homeBusinessDto
                    .setMonthPurchaseHaveMoney(unReceiptPaymentAmount.setScale(2, RoundingMode.HALF_UP).toString());
            homeBusinessDto.setMonthPurchaseHaveMoney(unReceiptPaymentAmount.setScale(2, RoundingMode.HALF_UP).toString());
        }
        // 统计库存
        BigDecimal stockQuantityTotal = stockInventoryMapper.selectTotal();
@@ -2509,4 +2519,20 @@

        return productProcessMapper.calculateProductionStatistics(startDateTime, endDateTime, userId, processIds);
    }

    @Override
    public Map<String, Long> total() {
        Map<String, Long> map = new HashMap<>();
        //总销售金额
        List<SalesDelivery> salesDeliveries = salesDeliveryMapper.selectList(null);
        long sum = salesDeliveries.stream().mapToLong(value -> Long.parseLong(value.getPrice().toString())).sum();
        map.put("price",sum/1000);//单位w
        //总发货单
        map.put("delivery",salesDeliveries.stream().count());
        //总销售区?
        //累计客户
        Long count = customerMapper.selectCount(null);
        map.put("customer",count);
        return map;
    }
}