zss
7 小时以前 fddb7b7951238b5c70cee251459f6effb3b42c26
src/main/java/com/ruoyi/home/service/impl/HomeServiceImpl.java
@@ -2,6 +2,8 @@
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;
@@ -40,6 +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;
@@ -145,6 +150,15 @@
    @Autowired
    private ProductProcessMapper productProcessMapper;
    @Autowired
    private AccountExpenseMapper accountExpenseMapper;
    @Autowired
    private AccountIncomeMapper accountIncomeMapper;
    @Autowired
    private SalesDeliveryMapper salesDeliveryMapper;
    @Override
    public HomeBusinessDto business() {
        // 构建结果
@@ -178,28 +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();
@@ -464,8 +481,8 @@
        }
        // 应收
        List<SalesLedger> salesLedgers = salesLedgerMapper.selectList(new LambdaQueryWrapper<SalesLedger>()
        // .ge(SalesLedger::getEntryDate, startDate)
        // .lt(SalesLedger::getEntryDate, endDate)
                // .ge(SalesLedger::getEntryDate, startDate)
                // .lt(SalesLedger::getEntryDate, endDate)
        );
        // BigDecimal receivableMoney =
        // salesLedgers.stream().map(SalesLedger::getContractAmount).reduce(BigDecimal.ZERO,
@@ -474,8 +491,8 @@
        // 应付
        List<PurchaseLedger> procurementRecords = purchaseLedgerMapper
                .selectList(new LambdaQueryWrapper<PurchaseLedger>()
                // .ge(PurchaseLedger::getEntryDate, startDate)
                // .lt(PurchaseLedger::getEntryDate, endDate)
                        // .ge(PurchaseLedger::getEntryDate, startDate)
                        // .lt(PurchaseLedger::getEntryDate, endDate)
                );
        // BigDecimal payableMoney =
        // procurementRecords.stream().map(PurchaseLedger::getContractAmount).reduce(BigDecimal.ZERO,
@@ -483,8 +500,8 @@
        BigDecimal payableMoney = sumAmount(procurementRecords, PurchaseLedger::getContractAmount);
        // 预收
        List<ReceiptPayment> receiptPayments = receiptPaymentMapper.selectList(new LambdaQueryWrapper<ReceiptPayment>()
        // .ge(ReceiptPayment::getReceiptPaymentDate, startDate)
        // .lt(ReceiptPayment::getReceiptPaymentDate, endDate)
                // .ge(ReceiptPayment::getReceiptPaymentDate, startDate)
                // .lt(ReceiptPayment::getReceiptPaymentDate, endDate)
        );
        // BigDecimal advanceMoney =
        // receiptPayments.stream().map(ReceiptPayment::getReceiptPaymentAmount).reduce(BigDecimal.ZERO,
@@ -493,8 +510,8 @@
        // 预付
        List<PaymentRegistration> paymentRegistrations = paymentRegistrationMapper
                .selectList(new LambdaQueryWrapper<PaymentRegistration>()
                // .ge(PaymentRegistration::getPaymentDate, startDate)
                // .lt(PaymentRegistration::getPaymentDate, endDate)
                        // .ge(PaymentRegistration::getPaymentDate, startDate)
                        // .lt(PaymentRegistration::getPaymentDate, endDate)
                );
        // BigDecimal prepayMoney =
        // paymentRegistrations.stream().map(PaymentRegistration::getCurrentPaymentAmount).reduce(BigDecimal.ZERO,
@@ -558,7 +575,7 @@
        productionProgressDto.setCompletedOrderDetails(productOrderDtos);
        long totalCount = productOrderDtos.size();
        long count = productOrderDtos.stream().filter(
                productOrderDto -> productOrderDto.getCompleteQuantity().compareTo(productOrderDto.getQuantity()) >= 0)
                        productOrderDto -> productOrderDto.getCompleteQuantity().compareTo(productOrderDto.getQuantity()) >= 0)
                .count();
        long count2 = productOrderDtos.stream()
                .filter(productOrderDto -> productOrderDto.getCompleteQuantity().compareTo(BigDecimal.ZERO) == 0)
@@ -1031,28 +1048,20 @@
    @Override
    public List<MapDto> salesPurchaseStorageProductCount() {
        LocalDate now = LocalDate.now();
        DateTimeFormatter dtf = DateTimeFormatter.ofPattern("yyyy-MM-dd");
        LocalDateTime now = LocalDateTime.now();
        LocalDateTime currentMonthStart = now.with(TemporalAdjusters.firstDayOfMonth()).with(LocalTime.MIN);
        LocalDateTime lastMonth = now.minusMonths(1);
        LocalDateTime lastMonthStart = lastMonth.with(TemporalAdjusters.firstDayOfMonth()).with(LocalTime.MIN);
        LocalDateTime lastMonthEnd = lastMonth.with(TemporalAdjusters.lastDayOfMonth()).with(LocalTime.MAX);
        String currentMonthStart = now.with(TemporalAdjusters.firstDayOfMonth()).format(dtf);
        String currentMonthNow = now.format(dtf);
        LocalDate lastMonth = now.minusMonths(1);
        String lastMonthStart = lastMonth.with(TemporalAdjusters.firstDayOfMonth()).format(dtf);
        String lastMonthEnd = lastMonth.with(TemporalAdjusters.lastDayOfMonth()).format(dtf);
        // 销售
        int currentSales = salesLedgerProductMapper.selectProductCountByTypeAndDate(1, currentMonthStart,
                currentMonthNow);
        //  销售
        int currentSales = salesLedgerProductMapper.selectProductCountByTypeAndDate(1, currentMonthStart, now);
        int lastSales = salesLedgerProductMapper.selectProductCountByTypeAndDate(1, lastMonthStart, lastMonthEnd);
        // 采购
        int currentPurchase = salesLedgerProductMapper.selectProductCountByTypeAndDate(2, currentMonthStart,
                currentMonthNow);
        //  采购
        int currentPurchase = salesLedgerProductMapper.selectProductCountByTypeAndDate(2, currentMonthStart, now);
        int lastPurchase = salesLedgerProductMapper.selectProductCountByTypeAndDate(2, lastMonthStart, lastMonthEnd);
        // 储存
        int currentStorage = stockInventoryMapper.selectStorageProductCountByDate(currentMonthStart, currentMonthNow);
        //  储存
        int currentStorage = stockInventoryMapper.selectStorageProductCountByDate(currentMonthStart, now);
        int lastStorage = stockInventoryMapper.selectStorageProductCountByDate(lastMonthStart, lastMonthEnd);
        List<MapDto> list = new ArrayList<>();
@@ -1151,12 +1160,6 @@
    public List<MapDto> productTurnoverDays() {
        return homeMapper.productTurnoverDays();
    }
    @Autowired
    private AccountExpenseMapper accountExpenseMapper;
    @Autowired
    private AccountIncomeMapper accountIncomeMapper;
    public List<Map<String, Object>> incomeExpenseAnalysis(Integer type) {
@@ -1281,36 +1284,21 @@
        String startStr = startDate.format(DateTimeFormatter.ofPattern("yyyy-MM-dd"));
        String endStr = endDate.format(DateTimeFormatter.ofPattern("yyyy-MM-dd"));
        // List<IncomeExpenseAnalysisDto> incomeList =
        // salesLedgerMapper.selectIncomeStats(startStr, endStr, dateFormat);
        List<IncomeExpenseAnalysisDto> incomeList = new ArrayList<>();
        List<IncomeExpenseAnalysisDto> purchaseList = purchaseLedgerMapper.selectPurchaseStats(startStr, endStr,
                dateFormat);
        List<IncomeExpenseAnalysisDto> expenseList = accountExpenseMapper.selectAccountExpenseStats(startStr, endStr,
                dateFormat);
        List<IncomeExpenseAnalysisDto> incomeList = accountIncomeMapper.selectIncomeStats(startStr, endStr, dateFormat);
        List<IncomeExpenseAnalysisDto> expenseList = accountExpenseMapper.selectAccountExpenseStats(startStr, endStr, dateFormat);
        Map<String, BigDecimal> incomeMap = incomeList.stream().collect(Collectors
                .toMap(IncomeExpenseAnalysisDto::getDateStr, IncomeExpenseAnalysisDto::getAmount, BigDecimal::add));
        Map<String, BigDecimal> purchaseMap = purchaseList.stream().collect(Collectors
                .toMap(IncomeExpenseAnalysisDto::getDateStr, IncomeExpenseAnalysisDto::getAmount, BigDecimal::add));
        Map<String, BigDecimal> expenseMap = expenseList.stream().collect(Collectors
                .toMap(IncomeExpenseAnalysisDto::getDateStr, IncomeExpenseAnalysisDto::getAmount, BigDecimal::add));
        List<MapDto> result = new ArrayList<>();
        for (String month : months) {
            MapDto dto = new MapDto();
            dto.setName(month);
            BigDecimal income = incomeMap.getOrDefault(month, BigDecimal.ZERO);
            BigDecimal purchase = purchaseMap.getOrDefault(month, BigDecimal.ZERO);
            income = BigDecimal.ZERO;
            BigDecimal expense = expenseMap.getOrDefault(month, BigDecimal.ZERO);
            BigDecimal totalExpense = purchase.add(expense);
            BigDecimal profit = income.subtract(totalExpense);
            BigDecimal profit = income.subtract(expense);
            dto.setValue(profit.setScale(2, RoundingMode.HALF_UP).toString());
            result.add(dto);
        }
@@ -1955,7 +1943,7 @@
                endDate = today.with(DayOfWeek.SUNDAY);
        }
        return new LocalDate[] { startDate, endDate };
        return new LocalDate[]{startDate, endDate};
    }
    private QualityQualifiedAnalysisDto buildQualifiedAnalysis(List<QualityInspect> list) {
@@ -2201,7 +2189,7 @@
     */
    public static String[] lastSevenDaysDateRange() {
        LocalDate today = LocalDate.now();
        return new String[] { today.minusDays(6).toString(), today.toString() };
        return new String[]{today.minusDays(6).toString(), today.toString()};
    }
    @Override
@@ -2434,6 +2422,9 @@
        Map<String, List<QualityInspect>> groupedByCheckResult = qualityInspectList.stream()
                .collect(Collectors.groupingBy(QualityInspect::getCheckResult));
        List<QualityInspect> qualityInspects = groupedByCheckResult.get("不合格");
        if (ObjectUtils.isNull(qualityInspects) || qualityInspects.size() == 0) {
            return null;
        }
        // 4. 处理图表项 (Item)
        List<QualityStatisticsItem> itemList = new ArrayList<>();
@@ -2497,7 +2488,7 @@
    @Override
    public List<processDataProductionStatisticsDto> processDataProductionStatistics(Integer type,
            List<Long> processIds) {
                                                                                    List<Long> processIds) {
        LoginUser loginUser = SecurityUtils.getLoginUser();
        Long userId = SecurityUtils.isAdmin(loginUser.getUserId()) ? null : loginUser.getUserId();
@@ -2528,4 +2519,106 @@
        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;
    }
    @Override
    public String salesAnalysis(SalesDeliveryDto salesDeliveryDto) {
        List<LocalDate> dates = convertDateList(salesDeliveryDto.getDays());
        return null;
    }
    @Override
    public String salesRanking(SalesDeliveryDto salesDeliveryDto) {
        List<LocalDate> dates = convertDateList(salesDeliveryDto.getDays());
        return null;
    }
    @Override
    public String salesAmount(SalesDeliveryDto salesDeliveryDto) {
        List<LocalDate> dates = convertDateList(salesDeliveryDto.getDays());
        return null;
    }
    @Override
    public String salesDataRanking(SalesDeliveryDto salesDeliveryDto) {
        List<LocalDate> dates = convertDateList(salesDeliveryDto.getDays());
        return null;
    }
    @Override
    public SalesTotalDto customerTrends(SalesDeliveryDto salesDeliveryDto) {
        SalesTotalDto salesTotalDto = new SalesTotalDto();
        List<LocalDate> dates = convertDateList(salesDeliveryDto.getDays());
        List<Map<String, Long>> maps = new ArrayList<>();
        for (LocalDate date : dates) {
            LocalDate firstDay = date.with(TemporalAdjusters.firstDayOfMonth());
            LocalDate lastDay = date.with(TemporalAdjusters.lastDayOfMonth());
            Date startDate = Date.from(firstDay.atStartOfDay(ZoneId.systemDefault()).toInstant());
            Date endDate = Date.from(lastDay.atTime(23, 59, 59).atZone(ZoneId.systemDefault()).toInstant());
            List<Customer> customers = customerMapper.selectList(Wrappers.<Customer>lambdaQuery()
                    .between(Customer::getMaintenanceTime, startDate, endDate));
            Map<String, Long> regionCountMap = Arrays.stream(AddressRegionEnum.values())
                    .filter(addressRegionEnum -> addressRegionEnum.getRegionName().equals("SELF_PICKUP"))
                    .collect(Collectors.toMap(
                            AddressRegionEnum::getRegionName, // 区域名作为key
                            enumItem -> 0L                    // 初始值全部为0
                    ));
            if (!CollectionUtils.isEmpty(customers)) {
                regionCountMap = customers.stream()
                        // 调用方法将原始地址转换为目标区域
                        .map(customer -> AddressRegionEnum.matchRegion(customer.getCompanyAddress()).getRegionName())
                        // 过滤掉转换失败/空的区域(可选,根据业务需求)
                        .filter(region -> region != null && !region.isEmpty())
                        // 按区域分组,统计每个区域的数量
                        .collect(Collectors.groupingBy(
                                region -> region,       // 分组依据:转换后的区域
                                Collectors.counting()   // 计数
                        ));
            }
            regionCountMap.put("ALLIN",customers.stream().count());
            maps.add(regionCountMap);
        }
        salesTotalDto.setDates(dates);
        salesTotalDto.setCustomerTrends(maps);
        return salesTotalDto;
    }
    /**
     * 根据前端传参 年/月 转换为对应LocalDate列表
     * @param days 前端参数:"年" / "月"
     * @return List<LocalDate>
     */
    public static List<LocalDate> convertDateList(String days) {
        List<LocalDate> resultList = new ArrayList<>();
        LocalDate now = LocalDate.now();
        int currentYear = now.getYear();
        if ("年".equals(days)) {
            // 需求:近5年 → 每年的 1月1日
            for (int i = 0; i < 5; i++) {
                resultList.add(LocalDate.of(currentYear - i, 1, 1));
            }
        } else if ("月".equals(days)) {
            // 需求:当年12个月 → 每月1日
            for (int month = 1; month <= 12; month++) {
                resultList.add(LocalDate.of(currentYear, month, 1));
            }
        }
        return resultList;
    }
}