| | |
| | | import java.math.BigDecimal; |
| | | import java.time.DayOfWeek; |
| | | import java.time.LocalDate; |
| | | import java.time.ZoneId; |
| | | import java.time.format.DateTimeFormatter; |
| | | import java.util.*; |
| | | import java.util.stream.Collectors; |
| | | |
| | | @AllArgsConstructor |
| | | @Service |
| | |
| | | |
| | | @Override |
| | | public Map<String, List<String>> analysis() { |
| | | // 获取本周的时间范围 |
| | | LocalDate startOfWeek = LocalDate.now().with(DayOfWeek.MONDAY); |
| | | LocalDate endOfWeek = LocalDate.now().with(DayOfWeek.SUNDAY); |
| | | // 获取最近四个月(当前月 + 前3个月)的时间范围 |
| | | LocalDate today = LocalDate.now(); |
| | | DateTimeFormatter monthFormatter = DateTimeFormatter.ofPattern("yyyy-MM"); // 年月格式化器 |
| | | Map<String, List<String>> result = new HashMap<>(); |
| | | List<String> days = new ArrayList<>(); |
| | | List<String> totalIncomeList = new ArrayList<>(); |
| | | List<String> totalExpenseList = new ArrayList<>(); |
| | | List<String> netIncomeList = new ArrayList<>(); |
| | | // 根据时间范围循环查询每一天的总收入,总支出,净收入(总收入-总支出) |
| | | for (LocalDate date = startOfWeek; date.isBefore(endOfWeek) || date.isEqual(endOfWeek); date = date.plusDays(1)) { |
| | | BigDecimal totalIncome = accountIncomeMapper.selectList(Wrappers.<AccountIncome>lambdaQuery() |
| | | .eq(AccountIncome::getInputTime, date.toString())) |
| | | .stream() |
| | | .map(AccountIncome::getIncomeMoney) |
| | | .filter(Objects::nonNull) |
| | | .reduce(BigDecimal.ZERO, BigDecimal::add); |
| | | BigDecimal totalExpense = accountExpenseMapper.selectList(Wrappers.<AccountExpense>lambdaQuery() |
| | | .eq(AccountExpense::getInputTime, date.toString())) |
| | | .stream() |
| | | .map(AccountExpense::getExpenseMoney) |
| | | .filter(Objects::nonNull) |
| | | .reduce(BigDecimal.ZERO, BigDecimal::add); |
| | | List<String> months = new ArrayList<>(); // 存储年月(如 2025-12、2025-11) |
| | | List<String> totalIncomeList = new ArrayList<>(); // 每月总收入 |
| | | List<String> totalExpenseList = new ArrayList<>(); // 每月总支出 |
| | | List<String> netIncomeList = new ArrayList<>(); // 每月净收入(收入-支出) |
| | | |
| | | // 步骤1:计算近4个月的年月列表(当前月、前1月、前2月、前3月) |
| | | List<String> targetMonths = new ArrayList<>(); |
| | | for (int i = 0; i < 4; i++) { |
| | | LocalDate currentMonth = today.minusMonths(i); |
| | | String monthStr = currentMonth.format(monthFormatter); |
| | | targetMonths.add(monthStr); |
| | | } |
| | | // 反转列表,确保顺序为「前3月 → 当前月」(可选,按需求调整顺序) |
| | | Collections.reverse(targetMonths); |
| | | |
| | | // 步骤2:一次性查询近4个月所有收入数据,按“年月”分组汇总 |
| | | LocalDate fourMonthsAgo = today.minusMonths(3).withDayOfMonth(1); // 近4个月起始日(前3月1号) |
| | | LocalDate currentMonthEnd = today.withDayOfMonth(today.lengthOfMonth()); // 当前月结束日 |
| | | ZoneId zoneId = ZoneId.of("Asia/Shanghai"); |
| | | // 查询近4个月所有收入 |
| | | List<AccountIncome> allIncomes = accountIncomeMapper.selectList( |
| | | Wrappers.<AccountIncome>lambdaQuery() |
| | | .ge(AccountIncome::getIncomeDate, fourMonthsAgo.toString()) // 大于等于起始日 |
| | | .le(AccountIncome::getIncomeDate, currentMonthEnd.toString()) // 小于等于结束日 |
| | | ); |
| | | |
| | | // 收入按“年月”分组汇总(key:年月字符串,value:当月总收入) |
| | | Map<String, BigDecimal> monthlyIncomeMap = allIncomes.stream() |
| | | .filter(income -> income.getIncomeMoney() != null) // 过滤空金额 |
| | | .collect(Collectors.groupingBy( |
| | | income -> { |
| | | // 将输入时间(字符串)转换为LocalDate,再格式化为年月 |
| | | LocalDate inputDate = income.getIncomeDate().toInstant().atZone(zoneId).toLocalDate(); |
| | | return inputDate.format(monthFormatter); |
| | | }, |
| | | Collectors.reducing(BigDecimal.ZERO, AccountIncome::getIncomeMoney, BigDecimal::add) |
| | | )); |
| | | |
| | | // 步骤3:一次性查询近4个月所有支出数据,按“年月”分组汇总 |
| | | List<AccountExpense> allExpenses = accountExpenseMapper.selectList( |
| | | Wrappers.<AccountExpense>lambdaQuery() |
| | | .ge(AccountExpense::getExpenseDate, fourMonthsAgo.toString()) |
| | | .le(AccountExpense::getExpenseDate, currentMonthEnd.toString()) |
| | | ); |
| | | |
| | | // 支出按“年月”分组汇总 |
| | | Map<String, BigDecimal> monthlyExpenseMap = allExpenses.stream() |
| | | .filter(expense -> expense.getExpenseMoney() != null) // 过滤空金额 |
| | | .collect(Collectors.groupingBy( |
| | | expense -> { |
| | | LocalDate inputDate = expense.getExpenseDate().toInstant().atZone(zoneId).toLocalDate(); |
| | | return inputDate.format(monthFormatter); |
| | | }, |
| | | Collectors.reducing(BigDecimal.ZERO, AccountExpense::getExpenseMoney, BigDecimal::add) |
| | | )); |
| | | |
| | | // 步骤4:循环4个目标月份,填充统计数据(无数据时默认为0) |
| | | for (String month : targetMonths) { |
| | | // 当月总收入(无数据则为0) |
| | | BigDecimal totalIncome = monthlyIncomeMap.getOrDefault(month, BigDecimal.ZERO); |
| | | // 当月总支出(无数据则为0) |
| | | BigDecimal totalExpense = monthlyExpenseMap.getOrDefault(month, BigDecimal.ZERO); |
| | | // 当月净收入(收入 - 支出) |
| | | BigDecimal netIncome = totalIncome.subtract(totalExpense); |
| | | days.add(date.toString()); |
| | | |
| | | // 填充列表 |
| | | months.add(month); |
| | | totalIncomeList.add(totalIncome.toString()); |
| | | totalExpenseList.add(totalExpense.toString()); |
| | | netIncomeList.add(netIncome.toString()); |
| | | } |
| | | result.put("days", days); // 天 |
| | | result.put("totalIncome", totalIncomeList); // 收入 |
| | | result.put("totalExpense", totalExpenseList); // 支出 |
| | | result.put("netIncome", netIncomeList); // 净收入 |
| | | |
| | | // 组装结果 |
| | | result.put("days", months); // 年月(如 ["2025-09", "2025-10", "2025-11", "2025-12"]) |
| | | result.put("totalIncome", totalIncomeList); // 对应月份总收入 |
| | | result.put("totalExpense", totalExpenseList); // 对应月份总支出 |
| | | result.put("netIncome", netIncomeList); // 对应月份净收入 |
| | | |
| | | return result; |
| | | } |
| | |
| | | .eq(AccountExpense::getInvoiceNumber, purchaseContractNumber)); |
| | | } |
| | | |
| | | @Override |
| | | public List<AccountExpense> getByInvoiceNumberList(String purchaseContractNumber) { |
| | | return accountExpenseMapper.selectList(Wrappers.<AccountExpense>lambdaQuery() |
| | | .eq(AccountExpense::getInvoiceNumber, purchaseContractNumber)); |
| | | } |
| | | |
| | | |
| | | } |