| | |
| | | |
| | | import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper; |
| | | import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper; |
| | | import com.baomidou.mybatisplus.core.metadata.IPage; |
| | | import com.baomidou.mybatisplus.extension.plugins.pagination.Page; |
| | | import com.ruoyi.account.mapper.AccountIncomeMapper; |
| | | import com.ruoyi.account.pojo.AccountExpense; |
| | | import com.ruoyi.home.mapper.HomeMapper; |
| | | import com.ruoyi.account.mapper.AccountExpenseMapper; |
| | | import com.ruoyi.approve.mapper.ApproveProcessMapper; |
| | | import com.ruoyi.approve.pojo.ApproveProcess; |
| | | import com.ruoyi.basic.mapper.CustomerMapper; |
| | |
| | | import com.ruoyi.basic.mapper.SupplierManageMapper; |
| | | import com.ruoyi.basic.pojo.Customer; |
| | | import com.ruoyi.basic.pojo.Product; |
| | | import com.ruoyi.basic.pojo.ProductModel; |
| | | import com.ruoyi.basic.pojo.SupplierManage; |
| | | import com.ruoyi.collaborativeApproval.mapper.NoticeMapper; |
| | | import com.ruoyi.collaborativeApproval.pojo.Notice; |
| | |
| | | private SalesLedgerProductMapper salesLedgerProductMapper; |
| | | |
| | | @Autowired |
| | | private StockInventoryMapper stockInventoryMapper; |
| | | |
| | | @Autowired |
| | | private ProcurementRecordMapper procurementRecordStorageMapper; |
| | | |
| | | @Autowired |
| | |
| | | private SysUserMapper sysUserMapper; |
| | | @Autowired |
| | | private SysUserDeptMapper sysUserDeptMapper; |
| | | private StockInventoryMapper stockInventoryMapper; |
| | | |
| | | @Autowired |
| | | private HomeMapper homeMapper; |
| | | |
| | | @Override |
| | | public HomeBusinessDto business() { |
| | |
| | | |
| | | |
| | | // 获取当天入库数量 |
| | | LambdaQueryWrapper<ProcurementRecordStorage> procurementRecordStorageLambdaQueryWrapper = new LambdaQueryWrapper<>(); |
| | | procurementRecordStorageLambdaQueryWrapper.ge(ProcurementRecordStorage::getCreateTime, now) // 大于等于当天 |
| | | .lt(ProcurementRecordStorage::getCreateTime, now.plusDays(1)); // 小于明天 |
| | | List<ProcurementRecordStorage> procurementRecordStorages1 = procurementRecordStorageMapper.selectList(procurementRecordStorageLambdaQueryWrapper); |
| | | BigDecimal stockAmount1 = procurementRecordStorages1.stream() |
| | | .map(ProcurementRecordStorage::getInboundNum) |
| | | .filter(Objects::nonNull) |
| | | .reduce(BigDecimal.ZERO, BigDecimal::add); |
| | | homeBusinessDto.setTodayInventoryNum(stockAmount1.setScale(2, RoundingMode.HALF_UP).toString()); |
| | | BigDecimal bigDecimal = stockInventoryMapper.selectTotalByDate(LocalDate.now()); |
| | | homeBusinessDto.setTodayInventoryNum(bigDecimal.setScale(2, RoundingMode.HALF_UP).toString()); |
| | | return homeBusinessDto; |
| | | } |
| | | |
| | |
| | | } |
| | | return result; |
| | | } |
| | | |
| | | @Override |
| | | public List<MapDto> productSalesAnalysis() { |
| | | // 获取所有产品大类的销售额 |
| | | List<Map<String, Object>> analysisResults = salesLedgerProductMapper.selectProductSalesAnalysis(); |
| | | if (CollectionUtils.isEmpty(analysisResults)) { |
| | | return new ArrayList<>(); |
| | | } |
| | | |
| | | // 计算总销售额 |
| | | BigDecimal totalSalesAmount = analysisResults.stream() |
| | | .map(r -> (BigDecimal) r.get("value")) |
| | | .filter(Objects::nonNull) |
| | | .reduce(BigDecimal.ZERO, BigDecimal::add); |
| | | |
| | | return analysisResults.stream() |
| | | .map(result -> { |
| | | MapDto mapDto = new MapDto(); |
| | | String name = (String) result.get("name"); |
| | | BigDecimal value = (BigDecimal) result.get("value"); |
| | | |
| | | mapDto.setName(name); |
| | | mapDto.setValue(value != null ? value.setScale(2, RoundingMode.HALF_UP).toString() : "0.00"); |
| | | |
| | | if (totalSalesAmount.compareTo(BigDecimal.ZERO) == 0 || value == null) { |
| | | mapDto.setRate("0.00"); |
| | | } else { |
| | | String rate = value.divide(totalSalesAmount, 4, RoundingMode.HALF_UP) |
| | | .multiply(new BigDecimal("100")) |
| | | .setScale(2, RoundingMode.HALF_UP) |
| | | .toString(); |
| | | mapDto.setRate(rate); |
| | | } |
| | | return mapDto; |
| | | }) |
| | | .collect(Collectors.toList()); |
| | | } |
| | | |
| | | @Override |
| | | public List<MapDto> rawMaterialPurchaseAmountRatio() { |
| | | // 获取所有原材料的采购额 |
| | | List<Map<String, Object>> analysisResults = salesLedgerProductMapper.selectRawMaterialPurchaseAnalysis(); |
| | | if (CollectionUtils.isEmpty(analysisResults)) { |
| | | return new ArrayList<>(); |
| | | } |
| | | |
| | | // 计算总采购额 |
| | | BigDecimal totalPurchaseAmount = analysisResults.stream() |
| | | .map(r -> (BigDecimal) r.get("value")) |
| | | .filter(Objects::nonNull) |
| | | .reduce(BigDecimal.ZERO, BigDecimal::add); |
| | | |
| | | return analysisResults.stream() |
| | | .map(result -> { |
| | | MapDto mapDto = new MapDto(); |
| | | String name = (String) result.get("name"); |
| | | BigDecimal value = (BigDecimal) result.get("value"); |
| | | |
| | | mapDto.setName(name); |
| | | mapDto.setValue(value != null ? value.setScale(2, RoundingMode.HALF_UP).toString() : "0.00"); |
| | | |
| | | if (totalPurchaseAmount.compareTo(BigDecimal.ZERO) == 0 || value == null) { |
| | | mapDto.setRate("0.00"); |
| | | } else { |
| | | String rate = value.divide(totalPurchaseAmount, 4, RoundingMode.HALF_UP) |
| | | .multiply(new BigDecimal("100")) |
| | | .setScale(2, RoundingMode.HALF_UP) |
| | | .toString(); |
| | | mapDto.setRate(rate); |
| | | } |
| | | return mapDto; |
| | | }) |
| | | .collect(Collectors.toList()); |
| | | } |
| | | |
| | | @Override |
| | | public List<MapDto> salesPurchaseStorageProductCount() { |
| | | LocalDate now = LocalDate.now(); |
| | | DateTimeFormatter dtf = DateTimeFormatter.ofPattern("yyyy-MM-dd"); |
| | | |
| | | 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); |
| | | int lastSales = salesLedgerProductMapper.selectProductCountByTypeAndDate(1, lastMonthStart, lastMonthEnd); |
| | | |
| | | // 采购 |
| | | int currentPurchase = salesLedgerProductMapper.selectProductCountByTypeAndDate(2, currentMonthStart, currentMonthNow); |
| | | int lastPurchase = salesLedgerProductMapper.selectProductCountByTypeAndDate(2, lastMonthStart, lastMonthEnd); |
| | | |
| | | // 储存 |
| | | int currentStorage = stockInventoryMapper.selectStorageProductCountByDate(currentMonthStart, currentMonthNow); |
| | | int lastStorage = stockInventoryMapper.selectStorageProductCountByDate(lastMonthStart, lastMonthEnd); |
| | | |
| | | List<MapDto> list = new ArrayList<>(); |
| | | list.add(createMapDto("销售产品数", currentSales, lastSales)); |
| | | list.add(createMapDto("采购产品数", currentPurchase, lastPurchase)); |
| | | list.add(createMapDto("储存产品数", currentStorage, lastStorage)); |
| | | |
| | | return list; |
| | | } |
| | | |
| | | private MapDto createMapDto(String name, int current, int last) { |
| | | MapDto dto = new MapDto(); |
| | | dto.setName(name); |
| | | dto.setValue(String.valueOf(current)); |
| | | |
| | | if (last == 0) { |
| | | dto.setRate(current > 0 ? "100.00" : "0.00"); |
| | | } else { |
| | | BigDecimal curDec = new BigDecimal(current); |
| | | BigDecimal lastDec = new BigDecimal(last); |
| | | // 增长率 |
| | | String rate = curDec.subtract(lastDec) |
| | | .divide(lastDec, 4, RoundingMode.HALF_UP) |
| | | .multiply(new BigDecimal("100")) |
| | | .setScale(2, RoundingMode.HALF_UP) |
| | | .toString(); |
| | | dto.setRate(rate); |
| | | } |
| | | return dto; |
| | | } |
| | | |
| | | @Override |
| | | public List<Map<String, Object>> productInOutAnalysis(Integer type) { |
| | | String targetName; |
| | | if (type == 1) { |
| | | targetName = "原材料"; |
| | | } else if (type == 2) { |
| | | targetName = "成品"; |
| | | } else if (type == 3) { |
| | | targetName = "半成品"; |
| | | } else { |
| | | return new ArrayList<>(); |
| | | } |
| | | |
| | | LambdaQueryWrapper<Product> queryWrapper = new LambdaQueryWrapper<>(); |
| | | queryWrapper.eq(Product::getProductName, targetName).isNull(Product::getParentId); |
| | | Product rootCategory = productMapper.selectOne(queryWrapper); |
| | | |
| | | if (rootCategory == null) { |
| | | log.warn("未找到名称为 {} 的顶级产品分类", targetName); |
| | | return new ArrayList<>(); |
| | | } |
| | | Long rootCategoryId = rootCategory.getId(); |
| | | |
| | | LocalDate now = LocalDate.now(); |
| | | DateTimeFormatter displayDtf = DateTimeFormatter.ofPattern("M/d"); |
| | | |
| | | String startDate = now.minusDays(6).toString(); |
| | | String endDate = now.toString(); |
| | | |
| | | List<Map<String, Object>> inCounts = stockInventoryMapper.selectDailyStockInCounts(rootCategoryId, startDate, endDate + " 23:59:59"); |
| | | |
| | | List<Map<String, Object>> outCounts = stockInventoryMapper.selectDailyStockOutCounts(rootCategoryId, startDate, endDate + " 23:59:59"); |
| | | |
| | | Map<LocalDate, BigDecimal> inMap = inCounts.stream() |
| | | .collect(Collectors.toMap( |
| | | m -> ((java.sql.Date) m.get("date")).toLocalDate(), |
| | | m -> (BigDecimal) m.get("count"), |
| | | BigDecimal::add |
| | | )); |
| | | |
| | | Map<LocalDate, BigDecimal> outMap = outCounts.stream() |
| | | .collect(Collectors.toMap( |
| | | m -> ((java.sql.Date) m.get("date")).toLocalDate(), |
| | | m -> (BigDecimal) m.get("count"), |
| | | BigDecimal::add |
| | | )); |
| | | |
| | | List<Map<String, Object>> result = new ArrayList<>(); |
| | | |
| | | for (int i = 6; i >= 0; i--) { |
| | | LocalDate date = now.minusDays(i); |
| | | |
| | | Map<String, Object> dataPoint = new LinkedHashMap<>(); |
| | | dataPoint.put("date", date.format(displayDtf)); // 1/23 |
| | | dataPoint.put("inCount", inMap.getOrDefault(date, BigDecimal.ZERO)); |
| | | dataPoint.put("outCount", outMap.getOrDefault(date, BigDecimal.ZERO)); |
| | | |
| | | result.add(dataPoint); |
| | | } |
| | | |
| | | return result; |
| | | } |
| | | |
| | | @Override |
| | | public List<MapDto> productTurnoverDays() { |
| | | return homeMapper.productTurnoverDays(); |
| | | } |
| | | |
| | | @Autowired |
| | | private AccountExpenseMapper accountExpenseMapper; |
| | | |
| | | @Autowired |
| | | private AccountIncomeMapper accountIncomeMapper; |
| | | |
| | | |
| | | public List<Map<String, Object>> incomeExpenseAnalysis(Integer type) { |
| | | |
| | | LocalDate today = LocalDate.now(); |
| | | LocalDate startDate; |
| | | LocalDate endDate; |
| | | String dateFormat; |
| | | DateTimeFormatter formatter; |
| | | List<String> xAxis = new ArrayList<>(); |
| | | |
| | | // 1. 时间范围 & X 轴 |
| | | if (type == 3) { |
| | | // 本季度(按月) |
| | | Month currentMonth = today.getMonth(); |
| | | Month firstMonthOfQuarter = currentMonth.firstMonthOfQuarter(); |
| | | startDate = today.withMonth(firstMonthOfQuarter.getValue()) |
| | | .with(TemporalAdjusters.firstDayOfMonth()); |
| | | endDate = startDate.plusMonths(2) |
| | | .with(TemporalAdjusters.lastDayOfMonth()); |
| | | |
| | | dateFormat = "%Y-%m"; |
| | | formatter = DateTimeFormatter.ofPattern("yyyy-MM"); |
| | | |
| | | LocalDate tmp = startDate; |
| | | while (!tmp.isAfter(endDate)) { |
| | | xAxis.add(tmp.format(formatter)); |
| | | tmp = tmp.plusMonths(1); |
| | | } |
| | | |
| | | } else { |
| | | // 周 / 月(按天) |
| | | dateFormat = "%Y-%m-%d"; |
| | | formatter = DateTimeFormatter.ofPattern("yyyy-MM-dd"); |
| | | |
| | | if (type == 1) { |
| | | startDate = today.with(DayOfWeek.MONDAY); |
| | | endDate = today.with(DayOfWeek.SUNDAY); |
| | | } else { |
| | | startDate = today.with(TemporalAdjusters.firstDayOfMonth()); |
| | | endDate = today.with(TemporalAdjusters.lastDayOfMonth()); |
| | | } |
| | | |
| | | LocalDate tmp = startDate; |
| | | while (!tmp.isAfter(endDate)) { |
| | | xAxis.add(tmp.format(formatter)); |
| | | tmp = tmp.plusDays(1); |
| | | } |
| | | } |
| | | |
| | | String startStr = startDate.format(DateTimeFormatter.ofPattern("yyyy-MM-dd")); |
| | | String endStr = endDate.format(DateTimeFormatter.ofPattern("yyyy-MM-dd")); |
| | | |
| | | // 2. 查询数据 |
| | | List<IncomeExpenseAnalysisDto> incomeList = accountIncomeMapper.selectIncomeStats(startStr, endStr, dateFormat); |
| | | |
| | | // List<IncomeExpenseAnalysisDto> purchaseList = |
| | | // purchaseLedgerMapper.selectPurchaseStats(startStr, endStr, dateFormat); |
| | | |
| | | List<IncomeExpenseAnalysisDto> expenseList = accountExpenseMapper.selectAccountExpenseStats(startStr, endStr, dateFormat); |
| | | |
| | | // 3. 转 Map(自动合并) |
| | | 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)); |
| | | |
| | | // 4. 组装返回 |
| | | List<Map<String, Object>> result = new ArrayList<>(); |
| | | |
| | | for (String dateStr : xAxis) { |
| | | Map<String, Object> item = new HashMap<>(); |
| | | item.put("date", dateStr); |
| | | |
| | | // 收入 |
| | | BigDecimal income = incomeMap.getOrDefault(dateStr, BigDecimal.ZERO); |
| | | item.put("income", income.setScale(2, RoundingMode.HALF_UP)); |
| | | |
| | | // 支出 = 采购 + 财务支出 |
| | | // BigDecimal purchase = purchaseMap.getOrDefault(dateStr, BigDecimal.ZERO); |
| | | BigDecimal expense = expenseMap.getOrDefault(dateStr, BigDecimal.ZERO); |
| | | // BigDecimal totalExpense = purchase.add(expense); |
| | | BigDecimal totalExpense = expense; |
| | | |
| | | item.put("expense", totalExpense.setScale(2, RoundingMode.HALF_UP)); |
| | | |
| | | result.add(item); |
| | | } |
| | | |
| | | return result; |
| | | } |
| | | |
| | | |
| | | @Override |
| | | public List<MapDto> profitTrendAnalysis() { |
| | | LocalDate today = LocalDate.now(); |
| | | LocalDate startDate = today.minusMonths(11).with(TemporalAdjusters.firstDayOfMonth()); |
| | | LocalDate endDate = today.with(TemporalAdjusters.lastDayOfMonth()); |
| | | |
| | | String dateFormat = "%Y-%m"; |
| | | DateTimeFormatter formatter = DateTimeFormatter.ofPattern("yyyy-MM"); |
| | | |
| | | List<String> months = new ArrayList<>(); |
| | | LocalDate temp = startDate; |
| | | while (!temp.isAfter(endDate)) { |
| | | months.add(temp.format(formatter)); |
| | | temp = temp.plusMonths(1); |
| | | } |
| | | |
| | | 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); |
| | | |
| | | 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); |
| | | |
| | | dto.setValue(profit.setScale(2, RoundingMode.HALF_UP).toString()); |
| | | result.add(dto); |
| | | } |
| | | |
| | | return result; |
| | | } |
| | | |
| | | @Override |
| | | public List<MapDto> expenseCompositionAnalysis(Integer type) { |
| | | List<MapDto> result = new ArrayList<>(); |
| | | |
| | | if (type == 2) { |
| | | List<MapDto> customerList = salesLedgerMapper.selectCustomerSalesComposition(); |
| | | if (customerList != null) { |
| | | result.addAll(customerList); |
| | | } |
| | | } else { |
| | | BigDecimal rawMaterialAmount = salesLedgerProductMapper.selectRawMaterialExpense(); |
| | | MapDto rawMaterialDto = new MapDto(); |
| | | rawMaterialDto.setName("原材料"); |
| | | rawMaterialDto.setValue(rawMaterialAmount != null ? rawMaterialAmount.toString() : "0"); |
| | | result.add(rawMaterialDto); |
| | | |
| | | List<MapDto> expenseList = accountExpenseMapper.selectExpenseComposition(null, null); |
| | | if (expenseList != null) { |
| | | result.addAll(expenseList); |
| | | } |
| | | } |
| | | |
| | | BigDecimal total = BigDecimal.ZERO; |
| | | for (MapDto dto : result) { |
| | | if (dto.getValue() != null) { |
| | | total = total.add(new BigDecimal(dto.getValue())); |
| | | } |
| | | } |
| | | |
| | | if (total.compareTo(BigDecimal.ZERO) > 0) { |
| | | for (MapDto dto : result) { |
| | | if (dto.getValue() != null) { |
| | | BigDecimal val = new BigDecimal(dto.getValue()); |
| | | String rate = val.divide(total, 4, RoundingMode.HALF_UP) |
| | | .multiply(new BigDecimal("100")) |
| | | .setScale(2, RoundingMode.HALF_UP) |
| | | .toString(); |
| | | dto.setRate(rate); |
| | | } else { |
| | | dto.setRate("0.00"); |
| | | } |
| | | } |
| | | } else { |
| | | for (MapDto dto : result) { |
| | | dto.setRate("0.00"); |
| | | } |
| | | } |
| | | |
| | | return result; |
| | | } |
| | | |
| | | |
| | | @Override |
| | | public MonthlyIncomeDto monthlyIncome() { |
| | | MonthlyIncomeDto dto = new MonthlyIncomeDto(); |
| | | LocalDate now = LocalDate.now(); |
| | | YearMonth currentMonth = YearMonth.from(now); |
| | | LocalDateTime startOfMonth = currentMonth.atDay(1).atStartOfDay(); |
| | | LocalDateTime endOfMonth = currentMonth.atEndOfMonth().atTime(23, 59, 59); |
| | | |
| | | LambdaQueryWrapper<SalesLedgerProduct> wrapper = new LambdaQueryWrapper<>(); |
| | | wrapper.eq(SalesLedgerProduct::getType, 1); |
| | | wrapper.ge(SalesLedgerProduct::getRegisterDate, startOfMonth); |
| | | wrapper.le(SalesLedgerProduct::getRegisterDate, endOfMonth); |
| | | |
| | | List<SalesLedgerProduct> products = salesLedgerProductMapper.selectList(wrapper); |
| | | |
| | | if (CollectionUtils.isEmpty(products)) { |
| | | return dto; |
| | | } |
| | | |
| | | BigDecimal collected = products.stream() |
| | | .map(SalesLedgerProduct::getInvoiceTotal) |
| | | .filter(Objects::nonNull) |
| | | .reduce(BigDecimal.ZERO, BigDecimal::add); |
| | | dto.setMonthlyIncome(collected); |
| | | |
| | | BigDecimal overdue = products.stream() |
| | | .map(SalesLedgerProduct::getPendingInvoiceTotal) |
| | | .filter(Objects::nonNull) |
| | | .reduce(BigDecimal.ZERO, BigDecimal::add); |
| | | dto.setOverdueNum(overdue); |
| | | |
| | | BigDecimal total = collected.add(overdue); |
| | | |
| | | if (total.compareTo(BigDecimal.ZERO) > 0) { |
| | | String collectionRate = collected.divide(total, 4, RoundingMode.HALF_UP) |
| | | .multiply(new BigDecimal("100")) |
| | | .setScale(2, RoundingMode.HALF_UP) |
| | | .toString(); |
| | | dto.setCollectionRate(collectionRate); |
| | | |
| | | String overdueRate = overdue.divide(total, 4, RoundingMode.HALF_UP) |
| | | .multiply(new BigDecimal("100")) |
| | | .setScale(2, RoundingMode.HALF_UP) |
| | | .toString(); |
| | | dto.setOverdueRate(overdueRate); |
| | | } |
| | | |
| | | return dto; |
| | | } |
| | | |
| | | public MonthlyExpenditureDto monthlyExpenditure() { |
| | | |
| | | MonthlyExpenditureDto dto = new MonthlyExpenditureDto(); |
| | | |
| | | // 当月时间范围 |
| | | LocalDate now = LocalDate.now(); |
| | | YearMonth currentMonth = YearMonth.from(now); |
| | | LocalDateTime startOfMonth = currentMonth.atDay(1).atStartOfDay(); |
| | | LocalDateTime endOfMonth = currentMonth.atEndOfMonth().atTime(23, 59, 59); |
| | | |
| | | // 采购台账(type = 2) |
| | | LambdaQueryWrapper<SalesLedgerProduct> purchaseWrapper = new LambdaQueryWrapper<>(); |
| | | purchaseWrapper.eq(SalesLedgerProduct::getType, 2); |
| | | purchaseWrapper.ge(SalesLedgerProduct::getRegisterDate, startOfMonth); |
| | | purchaseWrapper.le(SalesLedgerProduct::getRegisterDate, endOfMonth); |
| | | |
| | | List<SalesLedgerProduct> purchaseProducts = |
| | | salesLedgerProductMapper.selectList(purchaseWrapper); |
| | | |
| | | BigDecimal rawMaterialCost = BigDecimal.ZERO; // 原材料成本 |
| | | BigDecimal paidAmount = BigDecimal.ZERO; // 已付款金额 |
| | | BigDecimal pendingAmount = BigDecimal.ZERO; // 待付款金额 |
| | | |
| | | if (!CollectionUtils.isEmpty(purchaseProducts)) { |
| | | for (SalesLedgerProduct p : purchaseProducts) { |
| | | |
| | | if (p.getTaxInclusiveTotalPrice() != null) { |
| | | rawMaterialCost = rawMaterialCost.add(p.getTaxInclusiveTotalPrice()); |
| | | } |
| | | |
| | | if (p.getTicketsTotal() != null) { |
| | | paidAmount = paidAmount.add(p.getTicketsTotal()); |
| | | } |
| | | |
| | | if (p.getPendingTicketsTotal() != null) { |
| | | pendingAmount = pendingAmount.add(p.getPendingTicketsTotal()); |
| | | } |
| | | } |
| | | } |
| | | |
| | | // 其他费用 |
| | | LambdaQueryWrapper<AccountExpense> expenseWrapper = new LambdaQueryWrapper<>(); |
| | | expenseWrapper.ge(AccountExpense::getExpenseDate, |
| | | java.sql.Date.valueOf(currentMonth.atDay(1))); |
| | | expenseWrapper.le(AccountExpense::getExpenseDate, |
| | | java.sql.Date.valueOf(currentMonth.atEndOfMonth())); |
| | | |
| | | List<AccountExpense> expenses = |
| | | accountExpenseMapper.selectList(expenseWrapper); |
| | | |
| | | BigDecimal otherExpense = BigDecimal.ZERO; |
| | | if (!CollectionUtils.isEmpty(expenses)) { |
| | | for (AccountExpense e : expenses) { |
| | | if (e.getExpenseMoney() != null) { |
| | | otherExpense = otherExpense.add(e.getExpenseMoney()); |
| | | } |
| | | } |
| | | } |
| | | |
| | | // 月度总支出 |
| | | // BigDecimal monthlyExpenditure = rawMaterialCost.add(otherExpense); |
| | | BigDecimal monthlyExpenditure = otherExpense; |
| | | dto.setMonthlyExpenditure(monthlyExpenditure); |
| | | |
| | | // 已付款 ÷(已付款 + 待付款) |
| | | BigDecimal totalPayable = paidAmount.add(pendingAmount); |
| | | if (totalPayable.compareTo(BigDecimal.ZERO) > 0) { |
| | | String paymentRate = paidAmount |
| | | .divide(totalPayable, 4, RoundingMode.HALF_UP) |
| | | .multiply(BigDecimal.valueOf(100)) |
| | | .setScale(2, RoundingMode.HALF_UP) |
| | | .toString(); |
| | | dto.setPaymentRate(paymentRate); |
| | | } |
| | | |
| | | // 售台账(type = 1) |
| | | LambdaQueryWrapper<SalesLedgerProduct> salesWrapper = new LambdaQueryWrapper<>(); |
| | | salesWrapper.eq(SalesLedgerProduct::getType, 1); |
| | | salesWrapper.ge(SalesLedgerProduct::getRegisterDate, startOfMonth); |
| | | salesWrapper.le(SalesLedgerProduct::getRegisterDate, endOfMonth); |
| | | |
| | | List<SalesLedgerProduct> salesProducts = |
| | | salesLedgerProductMapper.selectList(salesWrapper); |
| | | |
| | | BigDecimal revenue = BigDecimal.ZERO; |
| | | if (!CollectionUtils.isEmpty(salesProducts)) { |
| | | for (SalesLedgerProduct s : salesProducts) { |
| | | if (s.getInvoiceAmount() != null) { |
| | | revenue = revenue.add(s.getInvoiceAmount()); |
| | | } |
| | | } |
| | | } |
| | | |
| | | // 毛利润 & 利润率 |
| | | if (revenue.compareTo(BigDecimal.ZERO) > 0) { |
| | | |
| | | // 毛利润 = 销售收入 - 原材料成本 |
| | | BigDecimal grossProfit = revenue.subtract(rawMaterialCost); |
| | | dto.setGrossProfit(grossProfit); |
| | | |
| | | // 利润率 = (销售收入 - 月度总支出) / 销售收入 |
| | | BigDecimal profit = revenue.subtract(monthlyExpenditure); |
| | | String profitMarginRate = profit |
| | | .divide(revenue, 4, RoundingMode.HALF_UP) |
| | | .multiply(BigDecimal.valueOf(100)) |
| | | .setScale(2, RoundingMode.HALF_UP) |
| | | .toString(); |
| | | |
| | | dto.setProfitMarginRate(profitMarginRate); |
| | | } |
| | | |
| | | return dto; |
| | | } |
| | | |
| | | } |