优化：数据大盘支持选择今日

src/app/(main)/ad-revenue-report/UserAdRevenueDrawer.tsx

@@ -32,24 +32,9 @@ interface Props {
   onClose: () => void;
   userId: number | null;
   phone: string | null; // 报表行已有的手机号:概览拉取失败时兜底展示
-  dateFrom: string | null;
-  dateTo: string | null;
-  appEnv?: 'prod' | 'test';
-  revenueScope: 'business' | 'all';
-  feedScene?: 'comparison' | 'coupon' | 'welfare';
 }
 
-export default function UserAdRevenueDrawer({
-  open,
-  onClose,
-  userId,
-  phone,
-  dateFrom,
-  dateTo,
-  appEnv,
-  revenueScope,
-  feedScene,
-}: Props) {
+export default function UserAdRevenueDrawer({ open, onClose, userId, phone }: Props) {
   // UserRewardPanel 的 user 快照:它只读 phone/nickname/wechat_nickname/created_at,其余按 snapshot 形状补齐。
   const [user, setUser] = useState<WithdrawUserSnapshot | null>(null);
 
@@ -97,19 +82,7 @@ export default function UserAdRevenueDrawer({
     >
       {/* userId 就绪即渲染;UserRewardPanel 内部按 userId 自行拉统计与金币记录,user 基本信息随后补上。
           statsVariant="ad":统计区只显示 6 项看广告统计(累计提现/现金余额/激励视频观看数+eCPM/draw观看数+eCPM) */}
-      {userId != null && (
-        <UserRewardPanel
-          key={`${userId}-${dateFrom}-${dateTo}-${appEnv}-${revenueScope}-${feedScene}`}
-          userId={userId}
-          user={user}
-          statsVariant="ad"
-          initialDateFrom={dateFrom ?? undefined}
-          initialDateTo={dateTo ?? undefined}
-          appEnv={appEnv}
-          revenueScope={revenueScope}
-          feedScene={feedScene}
-        />
-      )}
+      {userId != null && <UserRewardPanel userId={userId} user={user} statsVariant="ad" />}
     </Drawer>
   );
 }

src/app/(main)/ad-revenue-report/page.tsx

@@ -30,7 +30,7 @@ import {
 } from '@ant-design/icons';
 import dayjs, { type Dayjs } from 'dayjs';
 import { api, errMsg } from '@/lib/api';
-import { formatUtcTime, nearestRankPercentile } from '@/lib/format';
+import { formatUtcTime, percentile } from '@/lib/format';
 import type {
   AdRevenueDaily,
   AdRevenueHourly,
@@ -470,27 +470,7 @@ export default function AdRevenueReportPage() {
   const [loading, setLoading] = useState(false);
   const [formulaOpen, setFormulaOpen] = useState(false);
   // 点用户手机号弹出的「用户广告收益详情」半屏抽屉(userId + 手机号;null=关闭)
-  const [userDrawer, setUserDrawer] = useState<{
-    userId: number;
-    phone: string | null;
-    dateFrom: string;
-    dateTo: string;
-    appEnv?: 'prod' | 'test';
-    revenueScope: 'business' | 'all';
-    feedScene?: 'comparison' | 'coupon' | 'welfare';
-  } | null>(null);
-  const [queriedDetailFilters, setQueriedDetailFilters] = useState<{
-    dateFrom: string;
-    dateTo: string;
-    appEnv?: 'prod' | 'test';
-    revenueScope: 'business' | 'all';
-    feedScene?: 'comparison' | 'coupon' | 'welfare';
-  }>({
-    dateFrom: range[0].format('YYYY-MM-DD'),
-    dateTo: range[1].format('YYYY-MM-DD'),
-    appEnv: 'prod',
-    revenueScope: 'business',
-  });
+  const [userDrawer, setUserDrawer] = useState<{ userId: number; phone: string | null } | null>(null);
 
   // 当前选择是否跨多天:跨多天时「按小时」无意义,粒度强制按天
   const rangeMultiDay = range[0].format('YYYY-MM-DD') !== range[1].format('YYYY-MM-DD');
@@ -523,13 +503,6 @@ export default function AdRevenueReportPage() {
           },
         });
         setData(res.data);
-        setQueriedDetailFilters({
-          dateFrom: from,
-          dateTo: to,
-          appEnv: appEnv === 'all' ? undefined : appEnv,
-          revenueScope,
-          feedScene: scene as 'comparison' | 'coupon' | 'welfare' | undefined,
-        });
         setPage(targetPage);
         setQueriedLimit(targetLimit);
         setQueriedGranularity(gran);
@@ -578,7 +551,7 @@ export default function AdRevenueReportPage() {
       width: 150,
       render: (phone: string | null, r: AdRevenueRow) => (
         // 点手机号/用户 → 打开该用户「广告收益详情」半屏抽屉(统计卡 + 金币记录)
-        <a onClick={() => setUserDrawer({ userId: r.user_id, phone, ...queriedDetailFilters })}>
+        <a onClick={() => setUserDrawer({ userId: r.user_id, phone })}>
           {phone ? (
             <span>
               {phone}
@@ -785,9 +758,9 @@ export default function AdRevenueReportPage() {
         .filter((item) => item.feed_scene === sceneName)
         .map((item) => item.sub_count ?? 1);
       return {
-        p5: nearestRankPercentile(counts, 0.05),
-        p50: nearestRankPercentile(counts, 0.5),
-        p95: nearestRankPercentile(counts, 0.95),
+        p5: percentile(counts, 0.05, false),
+        p50: percentile(counts, 0.5, false),
+        p95: percentile(counts, 0.95, false),
       };
     };
     return { coupon: summarize('coupon'), comparison: summarize('comparison') };
@@ -1110,12 +1083,12 @@ export default function AdRevenueReportPage() {
             </Typography.Text>
           </Divider>
           <Row gutter={[16, 12]}>
-            <Col span={4}><Statistic title="单次领券广告数 P5" value={sessionAdCounts.coupon.p5 ?? '-'} precision={0} /></Col>
-            <Col span={4}><Statistic title="单次领券广告数 P50" value={sessionAdCounts.coupon.p50 ?? '-'} precision={0} /></Col>
-            <Col span={4}><Statistic title="单次领券广告数 P95" value={sessionAdCounts.coupon.p95 ?? '-'} precision={0} /></Col>
-            <Col span={4}><Statistic title="单次比价广告数 P5" value={sessionAdCounts.comparison.p5 ?? '-'} precision={0} /></Col>
-            <Col span={4}><Statistic title="单次比价广告数 P50" value={sessionAdCounts.comparison.p50 ?? '-'} precision={0} /></Col>
-            <Col span={4}><Statistic title="单次比价广告数 P95" value={sessionAdCounts.comparison.p95 ?? '-'} precision={0} /></Col>
+            <Col span={4}><Statistic title="单次领券广告数 P5" value={sessionAdCounts.coupon.p5 ?? '-'} precision={1} /></Col>
+            <Col span={4}><Statistic title="单次领券广告数 P50" value={sessionAdCounts.coupon.p50 ?? '-'} precision={1} /></Col>
+            <Col span={4}><Statistic title="单次领券广告数 P95" value={sessionAdCounts.coupon.p95 ?? '-'} precision={1} /></Col>
+            <Col span={4}><Statistic title="单次比价广告数 P5" value={sessionAdCounts.comparison.p5 ?? '-'} precision={1} /></Col>
+            <Col span={4}><Statistic title="单次比价广告数 P50" value={sessionAdCounts.comparison.p50 ?? '-'} precision={1} /></Col>
+            <Col span={4}><Statistic title="单次比价广告数 P95" value={sessionAdCounts.comparison.p95 ?? '-'} precision={1} /></Col>
           </Row>
         </Card>
       )}
@@ -1311,11 +1284,6 @@ export default function AdRevenueReportPage() {
         open={!!userDrawer}
         userId={userDrawer?.userId ?? null}
         phone={userDrawer?.phone ?? null}
-        dateFrom={userDrawer?.dateFrom ?? null}
-        dateTo={userDrawer?.dateTo ?? null}
-        appEnv={userDrawer?.appEnv}
-        revenueScope={userDrawer?.revenueScope ?? 'all'}
-        feedScene={userDrawer?.feedScene}
         onClose={() => setUserDrawer(null)}
       />
     </div>

src/app/(main)/withdraws/UserRewardPanel.tsx

@@ -44,11 +44,6 @@ interface Props {
   withdrawSource?: 'coin_cash' | 'invite_cash';
   // 统计区字段集:withdraw(默认,提现详情:含提现细分) / ad(广告收益详情:只看看广告观看统计,对齐参考图 6 项)
   statsVariant?: 'withdraw' | 'ad';
-  initialDateFrom?: string;
-  initialDateTo?: string;
-  appEnv?: 'prod' | 'test';
-  revenueScope?: 'business' | 'all';
-  feedScene?: 'comparison' | 'coupon' | 'welfare';
 }
 
 /** 用户看广告/提现详情:基本信息 + 互斥时间筛选 + 统计区(按 statsVariant 取字段集)+ 金币发放记录表。 */
@@ -57,17 +52,9 @@ export default function UserRewardPanel({
   user,
   withdrawSource,
   statsVariant = 'withdraw',
-  initialDateFrom,
-  initialDateTo,
-  appEnv,
-  revenueScope = 'all',
-  feedScene,
 }: Props) {
-  const hasInitialRange = Boolean(initialDateFrom && initialDateTo);
-  const [mode, setMode] = useState<'all' | 'range'>(hasInitialRange ? 'range' : 'all');
-  const [range, setRange] = useState<[Dayjs, Dayjs] | null>(() =>
-    hasInitialRange ? [dayjs(initialDateFrom), dayjs(initialDateTo)] : null,
-  );
+  const [mode, setMode] = useState<'all' | 'range'>('all'); // all=注册至今 / range=自定义区间
+  const [range, setRange] = useState<[Dayjs, Dayjs] | null>(null);
   const [stats, setStats] = useState<UserRewardStats | null>(null);
   const [statsLoading, setStatsLoading] = useState(false);
 
@@ -93,9 +80,6 @@ export default function UserRewardPanel({
         params: {
           ...JSON.parse(paramsKey),
           ...(withdrawSource ? { withdraw_source: withdrawSource } : {}),
-          ...(appEnv ? { app_env: appEnv } : {}),
-          revenue_scope: revenueScope,
-          ...(feedScene ? { feed_scene: feedScene } : {}),
         },
       });
       setStats(data);
@@ -104,7 +88,7 @@ export default function UserRewardPanel({
     } finally {
       setStatsLoading(false);
     }
-  }, [userId, paramsKey, withdrawSource, appEnv, revenueScope, feedScene]);
+  }, [userId, paramsKey, withdrawSource]);
 
   const loadRecords = useCallback(
     async (p: number) => {
@@ -252,7 +236,7 @@ export default function UserRewardPanel({
       </Descriptions>
       <Text type="secondary" style={{ fontSize: 12 }}>
         {statsVariant === 'ad'
-          ? '统计继承广告收益页已查询的日期、环境、业务代码位和场景;次数仅统计成功发奖记录,信息流按奖励份数统计;Draw eCPM 按全部实际展示统计(含未发奖)。'
+          ? '统计随上方时间筛选(现金余额除外,为当前快照);次数仅统计成功发奖记录,信息流按奖励份数统计;eCPM 为预估值。'
           : '统计随上方时间筛选(现金余额除外,为当前快照);提现按申请提交时间统计;累计收益为已发金币按当前汇率折算,不代表实际已提现金额;eCPM 为预估值。'}
       </Text>
 

src/lib/format.ts

@@ -37,18 +37,6 @@ export function percentile(values: readonly number[], q: number, round = true):
   return round ? Math.round(result) : result;
 }
 
-/**
- * 离散计数分位数（nearest-rank）。
- * 广告条数等不可拆分的计数不做线性插值，结果始终取自真实样本。
- */
-export function nearestRankPercentile(values: readonly number[], q: number): number | null {
-  if (!values.length) return null;
-  const sorted = [...values].sort((a, b) => a - b);
-  const quantile = Math.min(1, Math.max(0, q));
-  const rank = Math.max(1, Math.ceil(quantile * sorted.length));
-  return sorted[rank - 1];
-}
-
 const hasTz = (v: string) => /(?:Z|[+-]\d{2}:?\d{2})$/i.test(v);
 
 /** 把 UTC 口径字符串解析为带时区的 dayjs(无时区后缀的补 Z 当 UTC)。 */

src/lib/types.ts

@@ -233,7 +233,7 @@ export interface UserRewardStats {
   reward_video_avg_ecpm: number; // 平均激励视频 eCPM(分/千次)
   reward_video_cash_cents: number; // 激励视频提现
   feed_count: number; // 累计信息流广告数(份)
-  feed_avg_ecpm: number; // 全部 Draw/feed 实际展示的平均 eCPM(分/千次,含未发奖展示)
+  feed_avg_ecpm: number; // 平均信息流广告 eCPM(分/千次)
   feed_cash_cents: number; // 信息流广告提现
 }