longz
2026-08-05 65060c7bc81507fc234977e03a31bccc723b43cb
ruoyi-service/ruoyi-order/src/main/java/com/ruoyi/order/controller/TChargingOrderController.java
@@ -27,7 +27,6 @@
import com.ruoyi.chargingPile.api.model.TChargingGun;
import com.ruoyi.chargingPile.api.model.TChargingPile;
import com.ruoyi.chargingPile.api.model.TParkingRecord;
import com.ruoyi.chargingPile.api.model.TPartnerAppUser;
import com.ruoyi.chargingPile.api.vo.GetChargingGunByChargingPileIdsVo;
import com.ruoyi.common.core.domain.R;
import com.ruoyi.common.core.dto.ChargingOrderGroup;
@@ -221,16 +220,16 @@
        LocalDateTime[] range = franchiseeRange(params);
        List<FranchiseeDayStat> dayStats = franchiseeDayStats(siteIds, range);
        Map<String, Object> summary = new LinkedHashMap<>();
        summary.put("orderAmountWan", sum(dayStats, FranchiseeDayStat::getOrderAmount).divide(BigDecimal.valueOf(10000), 4, RoundingMode.HALF_UP));
        summary.put("orderAmountWan", sum(dayStats, FranchiseeDayStat::getChargingIncome).divide(BigDecimal.valueOf(10000), 4, RoundingMode.HALF_UP));
        summary.put("serviceFeeWan", sum(dayStats, FranchiseeDayStat::getServiceFee).divide(BigDecimal.valueOf(10000), 4, RoundingMode.HALF_UP));
        summary.put("chargingPowerWan", sum(dayStats, FranchiseeDayStat::getCapacity).divide(BigDecimal.valueOf(10000), 4, RoundingMode.HALF_UP));
        summary.put("chargingAmount", sum(dayStats, FranchiseeDayStat::getPaymentAmount));
        summary.put("chargingAmount", sum(dayStats, FranchiseeDayStat::getChargingIncome));
        summary.put("chargingOrderCount", dayStats.stream().mapToLong(stat -> numberValue(stat.getOrderCount())).sum());
        summary.put("powerUtilizationRate", observedPowerUtilization(dayStats));
        summary.put("demandPowerSatisfactionRate", demandPowerSatisfaction(dayStats));
        Map<String, Object> result = new LinkedHashMap<>();
        result.put("summary", summary);
        result.put("keyDataLine", franchiseeDailyTrend(dayStats, range, "订单金额", FranchiseeDayStat::getOrderAmountEffective));
        result.put("keyDataLine", franchiseeDailyTrend(dayStats, range, "收入合计", FranchiseeDayStat::getChargingIncome));
        result.put("keyDataRing", franchiseePhaseRing(siteIds, range));
        result.put("orderStats", franchiseeOrderTrend(dayStats, range));
        result.put("efficiency", franchiseeEfficiencyTrend(dayStats, range));
@@ -241,23 +240,47 @@
    @PostMapping("/app/franchisee/income")
    public R<Map<String, Object>> franchiseeIncome(@RequestBody(required = false) Map<String, Object> params) {
        List<Integer> siteIds = franchiseeSiteIds(params);
        LocalDate firstMonth = YearMonth.now().minusMonths(5).atDay(1);
        LocalDate nextMonth = YearMonth.now().plusMonths(1).atDay(1);
        List<FranchiseeDayStat> dayStats = franchiseeDayStats(siteIds,
                new LocalDateTime[]{firstMonth.atStartOfDay(), nextMonth.atStartOfDay()});
        List<SixChargingDto> sixChargingDtos;
        if (siteIds.isEmpty()) {
            // 无授权站点:返回近6月全零骨架,避免空 IN 导致全站点统计
            sixChargingDtos = generateLastSixMonths(LocalDate.now());
        } else {
            // 与后台 数据分析-平台总收入分析 电站收入分析口径一致:历史月读结算账单、当月补原始订单
            LocalDate sixBefore = PreviousSixMonths.get();
            List<SixChargingDto> chargingDtos = chargingOrderService.charge(sixBefore, siteIds, false);
            LocalDate statisticsEndMonth = resolveStatisticsEndMonth(LocalDate.now(), chargingDtos);
            sixChargingDtos = generateLastSixMonths(statisticsEndMonth);
            for (SixChargingDto sixChargingDto : sixChargingDtos) {
                for (SixChargingDto chargingDto : chargingDtos) {
                    if (sixChargingDto.getMonth().equals(chargingDto.getMonth())) {
                        BeanUtils.copyProperties(chargingDto, sixChargingDto);
                    }
                }
            }
        }
        BigDecimal electricity = sixChargingDtos.stream()
                .filter(Objects::nonNull)
                .map(SixChargingDto::getElectrovalence)
                .filter(Objects::nonNull)
                .reduce(BigDecimal.ZERO, BigDecimal::add);
        BigDecimal service = sixChargingDtos.stream()
                .filter(Objects::nonNull)
                .map(SixChargingDto::getServiceCharge)
                .filter(Objects::nonNull)
                .reduce(BigDecimal.ZERO, BigDecimal::add);
        Map<String, Object> result = new LinkedHashMap<>();
        result.put("totalIncome", sum(dayStats, FranchiseeDayStat::getPaymentAmount));
        result.put("electricityFee", sum(dayStats, FranchiseeDayStat::getElectrovalence));
        result.put("serviceFee", sum(dayStats, FranchiseeDayStat::getServiceFee));
        result.put("incomeColumn", franchiseeIncomeTrend(dayStats, firstMonth, 6));
        result.put("totalIncome", electricity.add(service));
        result.put("electricityFee", electricity);
        result.put("serviceFee", service);
        result.put("incomeColumn", franchiseeIncomeTrendFromSix(sixChargingDtos));
        List<Map<String, Object>> incomePie = new ArrayList<>();
        Map<String, Object> electricityItem = new LinkedHashMap<>();
        electricityItem.put("name", "充电费");
        electricityItem.put("value", sum(dayStats, FranchiseeDayStat::getElectrovalence));
        electricityItem.put("value", electricity);
        incomePie.add(electricityItem);
        Map<String, Object> serviceItem = new LinkedHashMap<>();
        serviceItem.put("name", "服务费");
        serviceItem.put("value", sum(dayStats, FranchiseeDayStat::getServiceFee));
        serviceItem.put("value", service);
        incomePie.add(serviceItem);
        result.put("incomePie", incomePie);
        return R.ok(result);
@@ -276,15 +299,19 @@
            }
            chargingUsersByDay.computeIfAbsent(agg.getStatDay(), key -> new HashSet<>()).add(agg.getAppUserId());
        }
        List<TPartnerAppUser> relations = Collections.emptyList();
        if (partner != null && partner.getId() != null) {
            R<List<TPartnerAppUser>> relationResult = partnerClient.getBoundAppUserRelations(partner.getId());
            if (relationResult != null && relationResult.getData() != null) {
                relations = relationResult.getData();
        Map<LocalDate, Long> newUsersByDay = new LinkedHashMap<>();
        if (range != null && range[0] != null && range[1] != null) {
            List<FranchiseeNewUserStat> newUserStats = chargingOrderMapper.franchiseeNewUserStats(range[0], range[1]);
            if (newUserStats != null) {
                for (FranchiseeNewUserStat stat : newUserStats) {
                    if (stat != null && stat.getStatDay() != null && stat.getUserCount() != null) {
                        newUsersByDay.put(stat.getStatDay(), stat.getUserCount());
                    }
                }
            }
        }
        FranchiseeUserStatistics.Result userStatistics = FranchiseeUserStatistics.calculateByUserDays(
                chargingUsersByDay, relations, range[0], range[1]);
                chargingUsersByDay, newUsersByDay, range[0], range[1]);
        Set<Long> users = aggs.stream().map(FranchiseeUserAgg::getAppUserId).filter(Objects::nonNull).collect(Collectors.toSet());
        List<TAppUser> appUsers = Collections.emptyList();
@@ -373,9 +400,8 @@
    private Map<String, Object> operationChart(List<Map<String, Object>> rows, String name) {
        List<String> categories = rows.stream().map(row -> {
            String siteName = row.get("siteName") == null ? "" : String.valueOf(row.get("siteName"));
            String gunName = row.get("name") == null ? "" : String.valueOf(row.get("name"));
            return siteName + gunName;
            return StringUtils.isBlank(gunName) ? "未命名充电枪" : gunName;
        }).collect(Collectors.toList());
        List<Object> values = rows.stream().map(row -> row.getOrDefault("percent", "0")).collect(Collectors.toList());
        Map<String, Object> chart = new LinkedHashMap<>();
@@ -763,22 +789,28 @@
        List<Map<String, Object>> data = new ArrayList<>(); for (int i = 0; i < names.length; i++) { Map<String, Object> item = new LinkedHashMap<>(); item.put("name", names[i]); item.put("value", counts[i]); data.add(item); }
        return Collections.singletonMap("series", Collections.singletonList(Collections.singletonMap("data", data)));
    }
    private Map<String, Object> franchiseeIncomeTrend(List<FranchiseeDayStat> stats, LocalDate firstMonth, int monthCount) {
    /** 收支分析近6月柱状图:与后台 电站收入分析 一致(历史月结算账单 + 当月原始订单)。 */
    private Map<String, Object> franchiseeIncomeTrendFromSix(List<SixChargingDto> months) {
        List<String> categories = new ArrayList<>();
        List<BigDecimal> electricity = new ArrayList<>(), service = new ArrayList<>();
        Map<YearMonth, List<FranchiseeDayStat>> byMonth = stats.stream().filter(stat -> stat != null && stat.getStatDay() != null)
                .collect(Collectors.groupingBy(stat -> YearMonth.from(stat.getStatDay())));
        for (int i = 0; i < monthCount; i++) {
            YearMonth month = YearMonth.from(firstMonth).plusMonths(i);
            categories.add(String.format("%02d月", month.getMonthValue()));
            List<FranchiseeDayStat> monthStats = byMonth.getOrDefault(month, Collections.emptyList());
            electricity.add(sum(monthStats, FranchiseeDayStat::getElectrovalence));
            service.add(sum(monthStats, FranchiseeDayStat::getServiceFee));
        for (SixChargingDto month : months) {
            if (month == null) {
                continue;
            }
            categories.add(month.getMonth() + "月");
            electricity.add(month.getElectrovalence() == null ? BigDecimal.ZERO : month.getElectrovalence());
            service.add(month.getServiceCharge() == null ? BigDecimal.ZERO : month.getServiceCharge());
        }
        Map<String, Object> chart = new LinkedHashMap<>(); chart.put("categories", categories);
        Map<String, Object> electricitySeries = new LinkedHashMap<>(); electricitySeries.put("name", "充电费"); electricitySeries.put("data", electricity);
        Map<String, Object> serviceSeries = new LinkedHashMap<>(); serviceSeries.put("name", "服务费"); serviceSeries.put("data", service);
        chart.put("series", new ArrayList<>(Arrays.asList(electricitySeries, serviceSeries))); return chart;
        Map<String, Object> chart = new LinkedHashMap<>();
        chart.put("categories", categories);
        Map<String, Object> electricitySeries = new LinkedHashMap<>();
        electricitySeries.put("name", "充电费");
        electricitySeries.put("data", electricity);
        Map<String, Object> serviceSeries = new LinkedHashMap<>();
        serviceSeries.put("name", "服务费");
        serviceSeries.put("data", service);
        chart.put("series", new ArrayList<>(Arrays.asList(electricitySeries, serviceSeries)));
        return chart;
    }
@@ -1840,11 +1872,18 @@
    public R<List<SixChargingDto>> charge(Integer siteId, Integer partnerId) {
        Long userId = tokenService.getLoginUser().getUserid();
        SysUser sysUser = sysUserClient.getSysUser(userId).getData();
        boolean partnerView = isPartnerView(sysUser);
        List<Integer> siteIds = resolvePlatformRevenueSiteIds(userId, sysUser, siteId, partnerId);
        LocalDate sixBefore = PreviousSixMonths.get();
        //通过siteIds进行sql查询统计
        List<SixChargingDto> chargingDtos = chargingOrderService.charge(sixBefore, siteIds, false);
        return R.ok(buildLastSixMonths(siteIds, false));
    }
    /**
     * 近6月+当月电站收入:历史月读结算账单、当月补原始订单。
     * 与「电站收入分析」图表、底部数据分类及加盟商收支同口径。
     */
    private List<SixChargingDto> buildLastSixMonths(List<Integer> siteIds, boolean partnerView) {
        LocalDate sixBefore = PreviousSixMonths.get();
        List<SixChargingDto> chargingDtos = chargingOrderService.charge(sixBefore, siteIds, partnerView);
        LocalDate statisticsEndMonth = resolveStatisticsEndMonth(LocalDate.now(), chargingDtos);
        List<SixChargingDto> sixChargingDtos = generateLastSixMonths(statisticsEndMonth);
        for (SixChargingDto sixChargingDto : sixChargingDtos) {
@@ -1855,9 +1894,7 @@
            }
        }
        return R.ok(sixChargingDtos);
        return sixChargingDtos;
    }
@@ -1995,19 +2032,33 @@
        SysUser sysUser = sysUserClient.getSysUser(userId).getData();
        boolean partnerView = isPartnerView(sysUser);
        List<Integer> siteIds = resolvePlatformRevenueSiteIds(userId, sysUser, siteId, partnerId);
        Map<String,Object>  map = chargingOrderService.countAll(siteIds, false);
        if (map == null) {
            map = new HashMap<String,Object>();
        }
        LocalDate sixBefore = PreviousSixMonths.get();
        Map<String,Object> map = new HashMap<String,Object>();
        // 电费/服务费与上方「电站收入分析」图表同口径:近6月结算账单 + 当月原始订单,保证底部合计=图表6个月相加
        List<SixChargingDto> sixChargingDtos = buildLastSixMonths(siteIds, false);
        map.put("electrovalence", sixChargingDtos.stream()
                .filter(Objects::nonNull)
                .map(SixChargingDto::getElectrovalence)
                .filter(Objects::nonNull)
                .reduce(BigDecimal.ZERO, BigDecimal::add));
        map.put("service_charge", sixChargingDtos.stream()
                .filter(Objects::nonNull)
                .map(SixChargingDto::getServiceCharge)
                .filter(Objects::nonNull)
                .reduce(BigDecimal.ZERO, BigDecimal::add));
        // 合作商分成/三方平台分佣按近6月结算口径统计(与图表月份窗口一致)
        Map<String,Object> sub = chargingOrderService.countAll(siteIds, false, sixBefore);
        map.put("commission_amount", sub == null ? BigDecimal.ZERO : sub.get("commission_amount"));
        map.put("sharing_amount", sub == null ? BigDecimal.ZERO : sub.get("sharing_amount"));
        boolean platformVisible = !partnerView;
        if(platformVisible){
            R<BigDecimal> parkingAmountResult = parkingLotClient.getRecordAmount(siteIds);
            R<BigDecimal> parkingAmountResult = parkingLotClient.getRecordAmount(siteIds, sixBefore.toString());
            BigDecimal data = parkingAmountResult == null || parkingAmountResult.getData() == null
                    ? BigDecimal.ZERO : parkingAmountResult.getData();
            map.put("parkingAmount",data);
            BigDecimal data1 =   shoppingOrderService.getSumAmount();
            BigDecimal data1 =   shoppingOrderService.getSumAmount(sixBefore);
            map.put("shopAmount",data1);
            BigDecimal data2 =   vipOrderService.getSumAmout();
            BigDecimal data2 =   vipOrderService.getSumAmout(sixBefore);
            map.put("vipAmount",data2);
        }else{
            map.put("parkingAmount",0);