fix(dl): 落地页底图+logo 纳入 git → 修生产 /media 404 毛坯 (#97) (#106)

Co-authored-by: guke <guke@autohome.com.cn>
Co-authored-by: zhuzihao <zhuzihao@wonderable.ai>
Co-authored-by: wuqi <wuqi@wonderable.ai>
Co-authored-by: chenshuobo <chenshuobo@wonderable.ai>
Co-authored-by: liujiahui <liujiahui@wonderable.ai>
Reviewed-on: #106

app/admin/main.py

@@ -21,6 +21,7 @@ from app.admin.routers.audit import router as audit_router
 from app.admin.routers.auth import router as auth_router
 from app.admin.routers.comparison import router as comparison_router
 from app.admin.routers.config import router as config_router
+from app.admin.routers.coupon_data import router as coupon_data_router
 from app.admin.routers.cps import router as cps_router
 from app.admin.routers.dashboard import router as dashboard_router
 from app.admin.routers.device_liveness import router as device_liveness_router
@@ -101,6 +102,7 @@ admin_app.include_router(audit_router)
 admin_app.include_router(config_router)
 admin_app.include_router(comparison_router)
 admin_app.include_router(cps_router)
+admin_app.include_router(coupon_data_router)
 admin_app.include_router(ad_audit_router)
 admin_app.include_router(ad_config_router)
 admin_app.include_router(ad_revenue_router)

app/admin/repositories/ad_audit.py

@@ -136,12 +136,16 @@ def _feed_scene_matches(rec: AdFeedRewardRecord, scene: str | None) -> bool:
     """该信息流记录是否落入请求的展示筛选 scene。
     - scene=="feed":ad_type in ("feed", NULL)(旧数据 NULL 视为 feed,向后兼容)
     - scene=="draw":ad_type=="draw"
+    - scene=="feed_all":所有信息流(feed/draw/NULL 都要)——业务已全切 Draw 信息流,收益报表把「Draw 信息流」
+      当作整个信息流口径(含历史误标 feed/NULL),用它避免筛选漏历史。
     - scene 为 None:不筛(两类都要)。
     """
     if scene == "feed":
         return rec.ad_type in (None, "feed")
     if scene == "draw":
         return rec.ad_type == "draw"
+    if scene == "feed_all":
+        return True
     return True
 
 
@@ -184,6 +188,7 @@ def _feed_rows(
                 "record_id": rec.id,
                 "user_id": rec.user_id,
                 "ad_session_id": rec.ad_session_id,
+                "trace_id": rec.trace_id,
                 "app_env": rec.app_env,
                 "our_code_id": rec.our_code_id,
                 "created_at": rec.created_at,
@@ -209,6 +214,7 @@ def _feed_rows(
                 "record_id": rec.id,
                 "user_id": rec.user_id,
                 "ad_session_id": rec.ad_session_id,
+                "trace_id": rec.trace_id,
                 "app_env": rec.app_env,
                 "our_code_id": rec.our_code_id,
                 "created_at": rec.created_at,
@@ -241,7 +247,7 @@ def audit_rows(
     rows: list[dict] = []
     if scene in (None, "reward_video"):
         rows.extend(_reward_video_rows(db, date=date, user_id=user_id))
-    if scene in (None, "feed", "draw"):
+    if scene in (None, "feed", "draw", "feed_all"):
         rows.extend(_feed_rows(db, date=date, user_id=user_id, scene=scene))
     return rows
 

app/admin/repositories/ad_revenue.py

@@ -3,9 +3,11 @@
 只读。每行 = 一次广告事件(不再按用户聚合):
 - **激励视频**:一次观看 = 1 条展示(ad_ecpm)+ 1 条发奖(ad_reward),按 ad_session_id 合并成一行,
   直接给出 eCPM / 收益 + 状态 / 应发 / 实发 / 一致;点开看该条金币复算因子。
-- **信息流**:轮播每条展示各一行(impressionId 各自独立);整场发奖(ad_feed_reward,client_event_id)
-  与逐条展示无法对应,单独成「纯发奖」行。
-- 兜底:有展示无发奖(中途关 / 未达发奖)、有发奖无展示(未上报 eCPM)都各自成行。
+- **信息流(比价/领券)**:一次比价 / 一次领券 = 一条整场发奖(ad_feed_reward)一行,给出 eCPM /
+  发奖金币 + 应发 / 实发 / 一致;点开看金币复算因子。⚠️ draw 的逐条展示(ad_ecpm,impressionId 各自
+  独立、与整场发奖无公共键、无法归到「哪一次」)**不再单独占行**(2026-07 按「一次比价/领券放一块」调整)——
+  其展示数 / eCPM / 预估收益仍进全量统计(合计 / 趋势 / 分类大盘 / 穿山甲对照),只是主表不逐条铺开。
+- 兜底:激励视频有展示无发奖(中途关 / 未达发奖)、有发奖无展示(未上报 eCPM)仍各自成行。
 
 展示与收益来自 ad_ecpm_record(收益 = eCPM元 ÷ 1000);应发 / 实发金币复用金币审计逐条复算
 (ad_audit.audit_rows,与正式发奖同一公式口径,不另写公式)。合计与对账在全量上统计,
@@ -58,14 +60,6 @@ def _date_range(date_from: str, date_to: str) -> list[str]:
 _AUDIT_SCENES = {"reward_video", "feed", "draw"}
 
 
-def _event_ad_type(row: dict) -> str:
-    """纯发奖事件行的 ad_type:信息流行用 audit 带回的真实 ad_type(feed/draw),回退 feed;
-    激励视频行恒 reward_video。不再用 scene 硬映射,避免把 draw 丢成 feed。"""
-    if row["scene"] == "reward_video":
-        return "reward_video"
-    return row.get("ad_type") or "feed"
-
-
 # 发奖复算明细字段(展开下钻看「金币怎么算出来的」)——从 audit 行原样取这些 key。
 _REWARD_DETAIL_KEYS = (
     "record_id", "created_at", "status", "ecpm", "ecpm_factor", "units",
@@ -108,9 +102,14 @@ def ad_revenue_report(
     #    同时保留全量列表,未被展示合并的成「纯发奖」事件。
     reward_by_session: dict[tuple[int, str], list[dict]] = {}
     all_reward_rows: list[dict] = []
-    # 报表 ad_type 直接当 audit scene 用(取值一致);未知/无效 ad_type 不取发奖行。draw 在此被
-    # 正确传成 scene="draw",audit 会按 ad_type 筛出 Draw 发奖,不再丢成 feed。
-    audit_scene = ad_type if ad_type in _AUDIT_SCENES else None
+    # 报表 ad_type → audit scene:reward_video/feed 直传;**draw(前端「Draw 信息流」)映射成 feed_all**
+    # ——业务已全切 Draw,把「Draw 信息流」当作整个信息流口径(含历史误标 feed/NULL),否则筛选会漏历史。
+    if ad_type == "draw":
+        audit_scene = "feed_all"
+    elif ad_type in _AUDIT_SCENES:
+        audit_scene = ad_type
+    else:
+        audit_scene = None
     if ad_type is None or audit_scene is not None:
         for d in _date_range(date_from, date_to):
             for row in ad_audit.audit_rows(db, date=d, user_id=user_id, scene=audit_scene):
@@ -140,7 +139,10 @@ def ad_revenue_report(
     )
     if user_id is not None:
         stmt = stmt.where(AdEcpmRecord.user_id == user_id)
-    if ad_type is not None:
+    if ad_type == "draw":
+        # draw = 所有信息流展示(业务已全 Draw,含历史误标 feed);展示行只进统计,不占主表行
+        stmt = stmt.where(AdEcpmRecord.ad_type.in_(["draw", "feed"]))
+    elif ad_type is not None:
         stmt = stmt.where(AdEcpmRecord.ad_type == ad_type)
     for rec in db.execute(stmt).scalars():
         rwd = _pop_reward(rec.user_id, rec.ad_session_id)
@@ -165,6 +167,8 @@ def ad_revenue_report(
             ),
             "adn": rec.adn,
             "slot_id": rec.slot_id,
+            "sub_rewards": [],
+            "sub_count": 1,
         }
         if rwd is not None:
             ev.update({
@@ -184,33 +188,88 @@ def ad_revenue_report(
             })
         events.append(ev)
 
-    # 3) 未被展示合并的发奖行 → 「纯发奖」事件(信息流整场发奖 / 有发奖无展示)。
-    #    收益恒 0(收益只算展示侧,避免与展示行重复计)。
+    # 3) 未被展示合并的发奖行 → 事件:
+    #    - 激励视频(reward_video):逐条成「纯发奖」事件(每次一个 ad_session_id;有发奖无展示等)。
+    #    - 信息流(feed/draw):同一次比价/领券的多条广告共享**整场 ad_session_id**(客户端整场复用),
+    #      按 (user_id, ad_session_id) 聚成**一次比价 / 一次领券**父事件;sub_rewards 为组内逐条明细,
+    #      应发/实发取组内合计;业务已全 Draw → 类型统一 "draw"。session 缺失(极少旧数据)各自单独成组。
+    feed_groups: dict[tuple[int, str], list[dict]] = {}
     for row in all_reward_rows:
         if row["record_id"] in used_reward_ids:
             continue
+        if row["scene"] == "reward_video":
+            events.append({
+                "event_key": f"rwd-{row['record_id']}",
+                "report_date": row["_report_date"],
+                "user_id": row["user_id"],
+                "ad_type": "reward_video",
+                "feed_scene": row.get("feed_scene"),
+                "app_env": row.get("app_env"),
+                "our_code_id": row.get("our_code_id"),
+                "created_at": row["created_at"],
+                "hour": _cn_hour(row["created_at"]) if by_hour else None,
+                "has_impression": False,
+                "impressions": 0,
+                "ecpm": row["ecpm"],
+                "revenue_yuan": 0.0,
+                "adn": None,
+                "slot_id": None,
+                "has_reward": True,
+                "status": row["status"],
+                "expected_coin": int(row["expected_coin"]),
+                "actual_coin": int(row["actual_coin"]),
+                "matched": bool(row["matched"]),
+                "reward_detail": _reward_detail(row),
+                "sub_rewards": [],
+                "sub_count": 1,
+            })
+        else:
+            # 聚合单位 = 一次完整比价/领券流程:优先用 trace_id(比价带 comparisonTraceId、领券带 sessionTraceId,
+            # 整个流程不变;即使中途点广告致浮层关闭重弹、ad_session_id 变了,trace_id 仍不变 → 全流程聚成一行)。
+            # 无 trace_id(历史领券未上报 / 旧数据)回退整场 ad_session_id;再无则 record_id 各自成组、不误并。
+            grp_key = row.get("trace_id") or row.get("ad_session_id") or f"_rid-{row['record_id']}"
+            feed_groups.setdefault((row["user_id"], grp_key), []).append(row)
+
+    # 信息流分组 → 「一次比价 / 一次领券」父事件(收益恒 0:收益只算展示侧,避免与展示行重复计)。
+    for (uid, grp_key), group in feed_groups.items():
+        group.sort(key=lambda r: (r["created_at"], r["record_id"]))
+        rep = group[-1]  # 代表条(最新一条):时间/场景/应用/代码位取它
+        expected_sum = sum(int(g["expected_coin"]) for g in group)
+        actual_sum = sum(int(g["actual_coin"]) for g in group)
+        # 父行 eCPM:组内各条 eCPM(分)均值(展示用,各条不同);无有效值则取代表条
+        ecpm_fens = [rewards.parse_ecpm_fen(g["ecpm"]) for g in group if g.get("ecpm")]
+        avg_ecpm = str(round(sum(ecpm_fens) / len(ecpm_fens))) if ecpm_fens else rep.get("ecpm")
+        # 主表逐行显示用:这次发奖广告的预估收益之和(发奖侧 eCPM 折算,钳顶同展示侧)。只放进
+        # row_revenue_yuan 给主表逐行展示,不进 revenue_yuan/合计/趋势——避免与展示侧 total 重复计。
+        row_revenue = round(sum(
+            min(rewards.parse_ecpm_yuan(g["ecpm"]), rewards.AD_ECPM_MAX_FEN / 100.0) / 1000.0
+            for g in group if g.get("ecpm")
+        ), 6)
         events.append({
-            "event_key": f"rwd-{row['record_id']}",
-            "report_date": row["_report_date"],
-            "user_id": row["user_id"],
-            "ad_type": _event_ad_type(row),
-            "feed_scene": row.get("feed_scene"),
-            "app_env": row.get("app_env"),
-            "our_code_id": row.get("our_code_id"),
-            "created_at": row["created_at"],
-            "hour": _cn_hour(row["created_at"]) if by_hour else None,
+            "event_key": f"feedgrp-{uid}-{grp_key}",
+            "report_date": rep["_report_date"],
+            "user_id": uid,
+            "ad_type": "draw",  # 业务已全切 Draw 信息流,聚合行统一 draw
+            "feed_scene": rep.get("feed_scene"),
+            "app_env": rep.get("app_env"),
+            "our_code_id": rep.get("our_code_id"),
+            "created_at": rep["created_at"],
+            "hour": _cn_hour(rep["created_at"]) if by_hour else None,
             "has_impression": False,
             "impressions": 0,
-            "ecpm": row["ecpm"],
+            "ecpm": avg_ecpm,
             "revenue_yuan": 0.0,
+            "row_revenue_yuan": row_revenue,
             "adn": None,
             "slot_id": None,
             "has_reward": True,
-            "status": row["status"],
-            "expected_coin": int(row["expected_coin"]),
-            "actual_coin": int(row["actual_coin"]),
-            "matched": bool(row["matched"]),
-            "reward_detail": _reward_detail(row),
+            "status": rep["status"],  # 代表状态(逐条见展开)
+            "expected_coin": expected_sum,
+            "actual_coin": actual_sum,
+            "matched": all(bool(g["matched"]) for g in group),
+            "reward_detail": None,
+            "sub_rewards": [_reward_detail(g) for g in group],
+            "sub_count": len(group),
         })
 
     # 「场景」作为全局筛选(与 user_id/ad_type 一致):同时作用于明细、合计与 daily/hourly 趋势。
@@ -331,9 +390,20 @@ def ad_revenue_report(
     is_today = date_from == date_to == rewards.cn_today().isoformat()
     dau = admin_stats.today_dau(db) if is_today else None
 
+    # 主表「逐行」= 单次广告行为(2026-07 按「一次比价/领券放一块」聚合):激励视频 = 一次观看一行(展示+发奖
+    # 按 ad_session_id 合并);一次比价 / 一次领券 = 该次整场多条广告按 ad_session_id 聚成一行(展开看逐条)。
+    # 信息流(draw/feed)的逐条展示(ad_ecpm,impressionId 各自独立、与整场发奖无公共键)不再单独占行
+    # ——其展示数 / eCPM / 预估收益已计入上面的全量统计(total_*、daily / hourly、type_stats、穿山甲对照),
+    # 只是主表不逐条铺开;逐条明细在父行展开里看(sub_rewards)。合计 / 趋势 / 分类大盘均基于全量 events,
+    # 不受此过滤影响;total / 分页只作用于主表行。
+    main_rows = [
+        e for e in events
+        if not (e["ad_type"] in ("draw", "feed") and e["has_impression"] and not e["has_reward"])
+    ]
+
     return {
-        "total": len(events),
-        "truncated": len(events) > offset + limit,
+        "total": len(main_rows),
+        "truncated": len(main_rows) > offset + limit,
         "total_impressions": total_impressions,
         "total_revenue_yuan": total_revenue_yuan,
         # 穿山甲后台收益合计(元):预估 revenue + 收益Api;非全量视图(带 user/类型/场景过滤)或无数据为 None。
@@ -347,5 +417,5 @@ def ad_revenue_report(
         "hourly": hourly,
         "type_stats": type_stats,
         "dau": dau,
-        "items": events[offset:offset + limit],
+        "items": main_rows[offset:offset + limit],
     }

app/admin/repositories/coupon_data.py

@@ -0,0 +1,225 @@
+"""admin「领券数据」看板聚合:发起/完成数、耗时均值与分位、按天/小时趋势、逐条明细。
+
+数据源 coupon_session(一次领券一行,客户端 /api/v1/coupon/session 两段上报)。量级不大,全量拉
+区间数据后 Python 聚合(分位 SQLite 无 percentile,统一 Python 算,PG 上也一致)。
+- 发起数 = 区间内全部 session(含 started/completed/failed/abandoned),= 流失统计的基数。
+- 完成数 / 耗时均值 / 分位 = 仅 status==completed 子集(成功跑完才有可比的"领券耗时")。
+- summary/daily/hourly/total 在全量上算,不受分页;items 为排序后当前页。
+"""
+from __future__ import annotations
+
+from datetime import UTC, date as _date, datetime
+
+from sqlalchemy import func, or_, select
+from sqlalchemy.orm import Session
+
+from app.core import rewards
+from app.models.coupon_state import CouponSession
+from app.models.user import User
+
+
+def _cn_hour(dt: datetime) -> int:
+    """started_at(UTC 口径)→ 北京时间小时(0–23)。naive 当 UTC(sqlite),tz-aware 直接换算(pg)。"""
+    if dt.tzinfo is None:
+        dt = dt.replace(tzinfo=UTC)
+    return dt.astimezone(rewards.CN_TZ).hour
+
+
+def _percentile(sorted_vals: list[int], q: float) -> int | None:
+    """线性插值分位(q=0..100,numpy 默认法)。sorted_vals 须已升序;空返回 None。"""
+    if not sorted_vals:
+        return None
+    if len(sorted_vals) == 1:
+        return sorted_vals[0]
+    idx = (len(sorted_vals) - 1) * q / 100.0
+    lo = int(idx)
+    hi = min(lo + 1, len(sorted_vals) - 1)
+    frac = idx - lo
+    return round(sorted_vals[lo] * (1 - frac) + sorted_vals[hi] * frac)
+
+
+def _avg(vals: list[int]) -> int | None:
+    return round(sum(vals) / len(vals)) if vals else None
+
+
+def _session_to_row(r, phone: str | None = None, nickname: str | None = None) -> dict:
+    """CouponSession ORM → 明细行 dict(主表「领券数据」与「用户全部领券」抽屉共用)。"""
+    return {
+        "id": r.id,
+        "trace_id": r.trace_id,
+        "user_id": r.user_id,
+        "user_phone": phone,
+        "user_nickname": nickname,
+        "status": r.status,
+        "platforms": r.platforms,
+        "origin_package": r.origin_package,
+        "elapsed_ms": r.elapsed_ms,
+        "platform_elapsed": r.platform_elapsed,
+        "device_model": r.device_model,
+        "rom": r.rom,
+        "app_env": r.app_env,
+        "started_at": r.started_at,
+        "claimed_count": r.claimed_count,
+        "trace_url": r.trace_url,
+    }
+
+
+def _empty_result() -> dict:
+    return {
+        "summary": {
+            "started_count": 0, "completed_count": 0, "avg_elapsed_ms": None,
+            "p5_ms": None, "p50_ms": None, "p95_ms": None, "p99_ms": None,
+        },
+        "daily": [],
+        "hourly": [],
+        "total": 0,
+        "items": [],
+    }
+
+
+def coupon_data_report(
+    db: Session,
+    *,
+    date_from: str,
+    date_to: str,
+    user: str | None = None,
+    app_env: str | None = None,
+    granularity: str = "day",
+    limit: int = 500,
+    offset: int = 0,
+    sort: str = "time",
+) -> dict:
+    """日期区间(北京自然日 started_date,闭区间)领券数据:汇总卡 + 趋势 + 逐条明细。
+
+    - user:手机号/昵称模糊搜(匹配不到任何用户 → 空结果)。
+    - app_env:prod/dev 精确;None=全部。
+    - sort:time=发起时刻倒序(默认) / elapsed=全程耗时倒序(None 末尾)。
+    """
+    by_hour = granularity == "hour"
+    d_from = _date.fromisoformat(date_from)
+    d_to = _date.fromisoformat(date_to)
+
+    # user 模糊 → 先定位匹配用户 id;匹配不到直接空结果(不全表扫)。
+    user_ids: set[int] | None = None
+    if user:
+        like = f"%{user}%"
+        user_ids = set(db.execute(
+            select(User.id).where(or_(User.phone.like(like), User.nickname.like(like)))
+        ).scalars().all())
+        if not user_ids:
+            return _empty_result()
+
+    stmt = select(CouponSession).where(
+        CouponSession.started_date >= d_from,
+        CouponSession.started_date <= d_to,
+    )
+    if app_env is not None:
+        stmt = stmt.where(CouponSession.app_env == app_env)
+    if user_ids is not None:
+        stmt = stmt.where(CouponSession.user_id.in_(user_ids))
+    rows = list(db.execute(stmt).scalars())
+
+    # ── 汇总卡 ──
+    completed_elapsed = sorted(
+        r.elapsed_ms for r in rows if r.status == "completed" and r.elapsed_ms is not None
+    )
+    summary = {
+        "started_count": len(rows),
+        "completed_count": sum(1 for r in rows if r.status == "completed"),
+        "avg_elapsed_ms": _avg(completed_elapsed),
+        "p5_ms": _percentile(completed_elapsed, 5),
+        "p50_ms": _percentile(completed_elapsed, 50),
+        "p95_ms": _percentile(completed_elapsed, 95),
+        "p99_ms": _percentile(completed_elapsed, 99),
+    }
+
+    # ── 按天趋势(柱=发起/完成数,线=平均耗时)──
+    daily_map: dict[str, dict] = {}
+    for r in rows:
+        d = r.started_date.isoformat()
+        b = daily_map.get(d)
+        if b is None:
+            b = {"date": d, "started_count": 0, "completed_count": 0, "_elapsed": []}
+            daily_map[d] = b
+        b["started_count"] += 1
+        if r.status == "completed":
+            b["completed_count"] += 1
+            if r.elapsed_ms is not None:
+                b["_elapsed"].append(r.elapsed_ms)
+    daily = [
+        {
+            "date": b["date"],
+            "started_count": b["started_count"],
+            "completed_count": b["completed_count"],
+            "avg_elapsed_ms": _avg(b["_elapsed"]),
+        }
+        for b in sorted(daily_map.values(), key=lambda x: x["date"])
+    ]
+
+    # ── 按小时趋势(单日 hour 粒度)──
+    hourly: list[dict] = []
+    if by_hour:
+        hour_map: dict[int, dict] = {}
+        for r in rows:
+            h = _cn_hour(r.started_at)
+            b = hour_map.get(h)
+            if b is None:
+                b = {"hour": h, "started_count": 0, "completed_count": 0, "_elapsed": []}
+                hour_map[h] = b
+            b["started_count"] += 1
+            if r.status == "completed":
+                b["completed_count"] += 1
+                if r.elapsed_ms is not None:
+                    b["_elapsed"].append(r.elapsed_ms)
+        hourly = [
+            {
+                "hour": b["hour"],
+                "started_count": b["started_count"],
+                "completed_count": b["completed_count"],
+                "avg_elapsed_ms": _avg(b["_elapsed"]),
+            }
+            for b in sorted(hour_map.values(), key=lambda x: x["hour"])
+        ]
+
+    # ── 明细:排序 + 分页 + 补用户手机号/昵称(批量,防 N+1)──
+    if sort == "elapsed":
+        rows.sort(key=lambda r: (r.elapsed_ms is None, -(r.elapsed_ms or 0)))
+    else:  # time:发起时刻倒序
+        rows.sort(key=lambda r: r.started_at, reverse=True)
+    page = rows[offset:offset + limit]
+
+    uids = {r.user_id for r in page if r.user_id is not None}
+    user_map: dict[int, tuple[str | None, str | None]] = {}
+    if uids:
+        user_map = {
+            uid: (phone, nickname)
+            for uid, phone, nickname in db.execute(
+                select(User.id, User.phone, User.nickname).where(User.id.in_(uids))
+            ).all()
+        }
+    items = []
+    for r in page:
+        phone, nickname = user_map.get(r.user_id, (None, None)) if r.user_id is not None else (None, None)
+        items.append(_session_to_row(r, phone, nickname))
+
+    return {
+        "summary": summary,
+        "daily": daily,
+        "hourly": hourly,
+        "total": len(rows),
+        "items": items,
+    }
+
+
+def coupon_user_records(db: Session, *, user_id: int, limit: int = 100) -> dict:
+    """某用户全部领券记录(点手机号抽屉用):按发起时刻倒序、不限日期,total=该用户领券总次数。"""
+    rows = list(db.execute(
+        select(CouponSession)
+        .where(CouponSession.user_id == user_id)
+        .order_by(CouponSession.started_at.desc())
+        .limit(limit)
+    ).scalars())
+    total = db.execute(
+        select(func.count()).select_from(CouponSession).where(CouponSession.user_id == user_id)
+    ).scalar_one()
+    return {"items": [_session_to_row(r) for r in rows], "total": int(total)}

app/admin/repositories/cps.py

@@ -7,13 +7,14 @@ from __future__ import annotations
 
 from datetime import datetime, timedelta, timezone
 from decimal import Decimal, InvalidOperation
+from typing import Any
 from uuid import uuid4
 
 from sqlalchemy import desc, func, select
 from sqlalchemy.orm import Session
 
 from app.admin.repositories.queries import _as_utc, offset_paginate
-from app.integrations import meituan
+from app.integrations import jd_union, meituan
 from app.repositories import cps_link as cps_link_repo
 from app.models.cps_activity import CpsActivity
 from app.models.cps_group import CpsGroup
@@ -24,6 +25,11 @@ from app.models.cps_wx_user import CpsWxUser
 # 美团订单状态:取消(4)/风控(5)不计佣金;结算(6)为佣金真正到账
 _INVALID_STATUS = {"4", "5"}
 _SETTLED_STATUS = "6"
+_JD_INVALID_CODES = {
+    "2", "3", "4", "5", "6", "7", "8", "9", "11", "13", "14", "19", "20", "21",
+    "22", "23", "25", "26", "27", "28", "29", "30", "31", "34", "35", "36",
+}
+_JD_UNPAID_CODES = {"15"}
 
 # CPS 点击时序按北京时区分桶(运营看的是北京时间)
 _BJ_TZ = timezone(timedelta(hours=8))
@@ -47,6 +53,36 @@ def _ts_to_dt(ts: object) -> datetime | None:
     """秒级时间戳 → tz-aware UTC datetime(绝对时刻,前端按北京展示)。"""
     if not ts:
         return None
+
+
+def _jd_dt_to_utc(value: object) -> datetime | None:
+    """京东时间字符串(北京时间) → UTC aware datetime。"""
+    if value is None:
+        return None
+    s = str(value).strip()
+    if not s:
+        return None
+    for fmt in ("%Y-%m-%d %H:%M:%S", "%Y-%m-%d"):
+        try:
+            dt = datetime.strptime(s, fmt)
+            return dt.replace(tzinfo=_BJ_TZ).astimezone(timezone.utc)
+        except ValueError:
+            continue
+    return None
+
+
+def _text(value: object) -> str | None:
+    if value is None:
+        return None
+    s = str(value).strip()
+    return s or None
+
+
+def _pick(row: dict[str, Any], *keys: str) -> Any:
+    for key in keys:
+        if key in row and row[key] is not None:
+            return row[key]
+    return None
     try:
         return datetime.fromtimestamp(int(ts), tz=timezone.utc)
     except (ValueError, OSError, TypeError):
@@ -249,6 +285,80 @@ def _map_order_fields(r: dict) -> dict:
     }
 
 
+def _jd_order_key(r: dict[str, Any]) -> str | None:
+    row_id = _text(_pick(r, "id", "rowId", "orderRowId"))
+    if row_id:
+        return f"jd:{row_id}"
+    order_id = _text(_pick(r, "orderId", "parentOrderId"))
+    sku_id = _text(_pick(r, "skuId"))
+    if order_id and sku_id:
+        return f"jd:{order_id}:{sku_id}"
+    if order_id:
+        return f"jd:{order_id}"
+    return None
+
+
+def _map_jd_order_fields(r: dict[str, Any]) -> dict:
+    """京东 order.row.query 单条订单行 → CpsOrder 字段。"""
+    sku_name = _text(_pick(r, "skuName", "goodsName", "productName"))
+    if sku_name and len(sku_name) > 500:
+        sku_name = sku_name[:500]
+    valid_code = _text(_pick(r, "validCode", "valid_code"))
+    actual_fee = _yuan_to_cents(_pick(r, "actualFee", "actual_fee"))
+    estimate_fee = _yuan_to_cents(_pick(r, "estimateFee", "estimate_fee"))
+    commission = actual_fee if actual_fee not in (None, 0) else estimate_fee
+    order_time = _jd_dt_to_utc(_pick(r, "orderTime", "order_time"))
+    return {
+        "platform": "jd",
+        "external_order_id": _text(_pick(r, "orderId", "parentOrderId")),
+        "external_row_id": _text(_pick(r, "id", "rowId", "orderRowId")),
+        "sid": _text(_pick(r, "subUnionId", "sub_union_id")),
+        "act_id": None,
+        "biz_line": None,
+        "trade_type": None,
+        "pay_price_cents": _yuan_to_cents(
+            _pick(r, "actualCosPrice", "estimateCosPrice", "price")
+        ),
+        "commission_cents": commission,
+        "commission_rate": _text(_pick(r, "commissionRate", "commission_rate")),
+        "refund_price_cents": None,
+        "refund_profit_cents": None,
+        "estimated_commission_cents": estimate_fee,
+        "actual_commission_cents": actual_fee,
+        "mt_status": None,
+        "jd_valid_code": valid_code,
+        "invalid_reason": None if _is_jd_valid_code(valid_code) else f"validCode={valid_code}",
+        "product_name": sku_name,
+        "settle_month": _text(_pick(r, "payMonth", "settleMonth", "pay_month")),
+        "site_id": _text(_pick(r, "siteId", "site_id")),
+        "position_id": _text(_pick(r, "positionId", "position_id")),
+        "pid": _text(_pick(r, "pid")),
+        "sub_union_id": _text(_pick(r, "subUnionId", "sub_union_id")),
+        "pay_time": order_time,
+        "mt_update_time": _jd_dt_to_utc(_pick(r, "modifyTime", "updateTime", "modify_time"))
+        or order_time,
+        "raw": r,
+    }
+
+
+def _is_jd_valid_code(valid_code: str | None) -> bool:
+    code = str(valid_code).strip() if valid_code is not None else ""
+    return bool(code and code not in _JD_INVALID_CODES and code not in _JD_UNPAID_CODES)
+
+
+def is_jd_order_valid(order: CpsOrder) -> bool:
+    return _is_jd_valid_code(order.jd_valid_code)
+
+
+def effective_commission_cents(order: CpsOrder) -> int:
+    if order.platform == "jd":
+        if order.actual_commission_cents not in (None, 0):
+            return order.actual_commission_cents or 0
+        if order.estimated_commission_cents is not None:
+            return order.estimated_commission_cents or 0
+    return order.commission_cents or 0
+
+
 def reconcile_orders(
     db: Session, *, start_time: int, end_time: int,
     query_time_type: int = 1, sid: str | None = None, max_pages: int = 200,
@@ -274,6 +384,11 @@ def reconcile_orders(
                 continue
             fetched += 1
             fields = _map_order_fields(r)
+            fields.setdefault("platform", "meituan")
+            fields.setdefault("external_order_id", order_id)
+            fields.setdefault("external_row_id", None)
+            fields.setdefault("estimated_commission_cents", fields.get("commission_cents"))
+            fields.setdefault("actual_commission_cents", None)
             existing = db.execute(
                 select(CpsOrder).where(CpsOrder.order_id == order_id)
             ).scalar_one_or_none()
@@ -291,6 +406,56 @@ def reconcile_orders(
     return {"fetched": fetched, "inserted": inserted, "updated": updated, "pages": pages}
 
 
+def reconcile_jd_orders(
+    db: Session, *, start_time: datetime, end_time: datetime,
+    query_time_type: int = 3, max_pages: int = 100,
+) -> dict:
+    """调京东 order.row.query 拉单 → 按订单行 upsert。
+
+    京东单次查询窗口最多 1 小时,这里按北京自然时间切窗并逐页拉取。
+    """
+    fetched = inserted = updated = pages = 0
+    cur = start_time
+    while cur < end_time:
+        win_end = min(cur + timedelta(hours=1), end_time)
+        page = 1
+        while page <= max_pages:
+            resp = jd_union.query_order_rows(
+                start_time=cur,
+                end_time=win_end,
+                query_time_type=query_time_type,
+                page_index=page,
+                page_size=200,
+            )
+            rows = resp.get("rows") or []
+            has_more = bool(resp.get("has_more"))
+            if not rows:
+                break
+            pages += 1
+            for r in rows:
+                order_id = _jd_order_key(r)
+                if not order_id:
+                    continue
+                fetched += 1
+                fields = _map_jd_order_fields(r)
+                existing = db.execute(
+                    select(CpsOrder).where(CpsOrder.order_id == order_id)
+                ).scalar_one_or_none()
+                if existing is None:
+                    db.add(CpsOrder(order_id=order_id, **fields))
+                    inserted += 1
+                else:
+                    for k, v in fields.items():
+                        setattr(existing, k, v)
+                    updated += 1
+            if not has_more or len(rows) < 200:
+                break
+            page += 1
+        cur = win_end
+    db.commit()
+    return {"fetched": fetched, "inserted": inserted, "updated": updated, "pages": pages}
+
+
 def list_orders(
     db: Session, *, sid: str | None = None, mt_status: str | None = None,
     limit: int = 20, cursor: int | None = None,

app/admin/repositories/queries.py

@@ -806,6 +806,12 @@ def get_user_overview(db: Session, user_id: int) -> dict | None:
     }
 
 
+def _as_utc_naive(value: datetime) -> datetime:
+    """窗口入参 → UTC naive(= _as_utc 去时区),与库里按 naive UTC 存取的 created_at 同口径比较。
+    历史遗留:_window_conds 一直引用本函数却未定义(自定义区间会 NameError),此处补上。"""
+    return _as_utc(value).replace(tzinfo=None)
+
+
 def _window_conds(col, date_from: datetime | None, date_to: datetime | None) -> list:
     """把 [date_from, date_to] 转成对 col(created_at)的过滤条件;都为 None = 全量(注册至今)。"""
     conds = []
@@ -895,6 +901,13 @@ def user_reward_stats(
     }
 
 
+def _cn_wall_to_utc(dt: datetime) -> datetime:
+    """coin_transaction 存的是北京 wall-clock(naive,见 wallet.grant_coins「存北京 wall-clock」),转成 UTC naive,
+    与广告表(func.now() UTC)统一 —— 让本函数按同一绝对时刻排序、且前端 apiTime(把无时区时间当 UTC 再 +8 展示)
+    口径一致;否则签到会比实际多显示 8 小时(北京时间又被 +8)。"""
+    return dt.replace(tzinfo=rewards.CN_TZ).astimezone(timezone.utc).replace(tzinfo=None)
+
+
 def user_coin_records(
     db: Session,
     user_id: int,
@@ -915,6 +928,9 @@ def user_coin_records(
     offset = max(cursor or 0, 0)
     fetch = offset + limit + 1
     rows: list[dict] = []
+    # coin_transaction 存北京 wall-clock(其余表存 UTC);签到窗口边界 +8h 对齐北京,过滤/计数才不偏移 8 小时
+    signin_from = date_from + timedelta(hours=8) if date_from is not None else None
+    signin_to = date_to + timedelta(hours=8) if date_to is not None else None
 
     for rec in db.execute(
         select(AdRewardRecord)
@@ -958,7 +974,7 @@ def user_coin_records(
         .where(
             CoinTransaction.user_id == user_id,
             CoinTransaction.biz_type == "signin",
-            *_window_conds(CoinTransaction.created_at, date_from, date_to),
+            *_window_conds(CoinTransaction.created_at, signin_from, signin_to),
         )
         .order_by(CoinTransaction.created_at.desc())
         .limit(fetch)
@@ -966,7 +982,8 @@ def user_coin_records(
         rows.append({
             "source": "signin",
             "source_label": "签到",
-            "created_at": rec.created_at,
+            # 北京 wall-clock → UTC,与广告记录统一(前端 apiTime 会 +8 回北京展示,不然签到会多 8 小时)
+            "created_at": _cn_wall_to_utc(rec.created_at),
             "ecpm": None,
             "coin": rec.amount,
         })
@@ -992,7 +1009,7 @@ def user_coin_records(
         + _count(
             CoinTransaction, CoinTransaction.user_id == user_id,
             CoinTransaction.biz_type == "signin",
-            *_window_conds(CoinTransaction.created_at, date_from, date_to),
+            *_window_conds(CoinTransaction.created_at, signin_from, signin_to),
         )
     )
     return rows[offset:offset + limit], (offset + limit if has_more else None), total

app/admin/repositories/stats.py

@@ -13,6 +13,7 @@ from sqlalchemy.orm import Session
 
 from app.models.ad_feed_reward import AdFeedRewardRecord
 from app.models.ad_reward import AdRewardRecord
+from app.models.analytics_event import AnalyticsEvent
 from app.models.comparison import ComparisonRecord
 from app.models.coupon_state import CouponPromptEngagement
 from app.models.cps_order import CpsOrder
@@ -35,6 +36,13 @@ REGULAR_TASK_EXCLUDED_BIZ_TYPES = (
 )
 MEITUAN_CPS_INVALID_STATUSES = ("4", "5")
 MEITUAN_CPS_SETTLED_STATUS = "6"
+COMPARE_START_EVENT = "real_compare_start"
+COUPON_START_EVENT = "real_coupon_start"
+JD_CPS_INVALID_CODES = {
+    "2", "3", "4", "5", "6", "7", "8", "9", "11", "13", "14", "19", "20", "21",
+    "22", "23", "25", "26", "27", "28", "29", "30", "31", "34", "35", "36",
+}
+JD_CPS_UNPAID_CODES = {"15"}
 
 
 def _beijing_today_start_utc() -> datetime:
@@ -45,14 +53,31 @@ def _beijing_today_start_utc() -> datetime:
 
 
 def today_dau(db: Session) -> int:
-    """今日活跃用户数(DAU):北京时区今天 0 点后登录过(last_login_at)。
+    """今日活跃用户数(DAU):登录 + 开始比价 + 开始领券,按用户去重。
 
     广告收益报表复用这个函数;历史窗口 DAU 由 dashboard_overview 的 period 口径另算。
     """
+    today_bj = datetime.now(_BEIJING).date()
     today_start = _beijing_today_start_utc()
-    return int(
-        db.execute(select(func.count(User.id)).where(User.last_login_at >= today_start)).scalar_one()
+    tomorrow_start = today_start + timedelta(days=1)
+    login_user_ids = _id_set(
+        db,
+        select(User.id).where(User.last_login_at >= today_start, User.last_login_at < tomorrow_start),
     )
+    compare_start_user_ids = _event_user_ids(
+        db, (COMPARE_START_EVENT,), today_start, tomorrow_start
+    )
+    coupon_event_user_ids = _event_user_ids(
+        db, (COUPON_START_EVENT,), today_start, tomorrow_start
+    )
+    coupon_claim_user_ids = _id_set(
+        db,
+        select(CouponPromptEngagement.user_id).where(
+            CouponPromptEngagement.engage_date == today_bj,
+            CouponPromptEngagement.engage_type == "claim_started",
+        ),
+    )
+    return len(login_user_ids | compare_start_user_ids | coupon_event_user_ids | coupon_claim_user_ids)
 
 
 def _default_period_end() -> date:
@@ -91,6 +116,24 @@ def _date_range(date_from: date, date_to: date) -> list[date]:
     return [date_from + timedelta(days=i) for i in range(days + 1)]
 
 
+def _id_set(db: Session, stmt) -> set[int]:
+    return {int(v) for v in db.execute(stmt).scalars().all() if v is not None}
+
+
+def _event_user_ids(
+    db: Session, event_names: tuple[str, ...], start_utc: datetime, end_utc: datetime
+) -> set[int]:
+    return _id_set(
+        db,
+        select(AnalyticsEvent.user_id).where(
+            AnalyticsEvent.user_id.is_not(None),
+            AnalyticsEvent.event.in_(event_names),
+            AnalyticsEvent.created_at >= start_utc,
+            AnalyticsEvent.created_at < end_utc,
+        ),
+    )
+
+
 def _commission_rate_percent(raw: str | None) -> Decimal | None:
     """美团 commissionRate 原值: "300"=3%, "10"=0.1%;也兼容 "3%"。"""
     if raw is None:
@@ -107,6 +150,11 @@ def _commission_rate_percent(raw: str | None) -> Decimal | None:
     return val / Decimal("100")
 
 
+def _jd_valid_order(order: CpsOrder) -> bool:
+    code = str(order.jd_valid_code).strip() if order.jd_valid_code is not None else ""
+    return bool(code and code not in JD_CPS_INVALID_CODES and code not in JD_CPS_UNPAID_CODES)
+
+
 def dashboard_overview(
     db: Session, *, date_from: date | None = None, date_to: date | None = None
 ) -> dict:
@@ -216,17 +264,22 @@ def dashboard_overview(
     login_user_ids = _user_id_set(
         select(User.id).where(User.last_login_at >= start_utc, User.last_login_at < end_utc)
     )
-    compare_user_ids = _user_id_set(
-        select(ComparisonRecord.user_id).where(*period_comparison_conds)
+    compare_start_user_ids = _event_user_ids(
+        db, (COMPARE_START_EVENT,), start_utc, end_utc
     )
-    coupon_user_ids = _user_id_set(
+    coupon_event_user_ids = _event_user_ids(
+        db, (COUPON_START_EVENT,), start_utc, end_utc
+    )
+    coupon_claim_user_ids = _user_id_set(
         select(CouponPromptEngagement.user_id).where(
             CouponPromptEngagement.engage_date >= period_from,
             CouponPromptEngagement.engage_date <= period_to,
             CouponPromptEngagement.engage_type == "claim_started",
         )
     )
-    period_active_user_ids = login_user_ids | compare_user_ids | coupon_user_ids
+    period_active_user_ids = (
+        login_user_ids | compare_start_user_ids | coupon_event_user_ids | coupon_claim_user_ids
+    )
     period_retained_new_user_ids = period_new_user_ids & period_active_user_ids
     period_retention_rate = (
         round(len(period_retained_new_user_ids) / len(period_new_user_ids), 4)
@@ -248,10 +301,13 @@ def dashboard_overview(
                 User.last_login_at < day_end_utc,
             )
         )
-        daily_compare_user_ids = _user_id_set(
-            select(ComparisonRecord.user_id).where(*daily_comparison_conds)
+        daily_compare_start_user_ids = _event_user_ids(
+            db, (COMPARE_START_EVENT,), day_start_utc, day_end_utc
         )
-        daily_coupon_user_ids = _user_id_set(
+        daily_coupon_event_user_ids = _event_user_ids(
+            db, (COUPON_START_EVENT,), day_start_utc, day_end_utc
+        )
+        daily_coupon_claim_user_ids = _user_id_set(
             select(CouponPromptEngagement.user_id).where(
                 CouponPromptEngagement.engage_date == cur_date,
                 CouponPromptEngagement.engage_type == "claim_started",
@@ -261,7 +317,10 @@ def dashboard_overview(
             {
                 "date": cur_date,
                 "active_users": len(
-                    daily_login_user_ids | daily_compare_user_ids | daily_coupon_user_ids
+                    daily_login_user_ids
+                    | daily_compare_start_user_ids
+                    | daily_coupon_event_user_ids
+                    | daily_coupon_claim_user_ids
                 ),
                 "new_users": _count(
                     User,
@@ -317,7 +376,7 @@ def dashboard_overview(
         *period_coin_conds,
         CoinTransaction.biz_type.notin_(REGULAR_TASK_EXCLUDED_BIZ_TYPES),
     )
-    period_meituan_orders = list(
+    period_cps_orders = list(
         db.execute(
             select(CpsOrder).where(
                 CpsOrder.pay_time >= start_utc,
@@ -325,9 +384,17 @@ def dashboard_overview(
             )
         ).scalars()
     )
+    period_meituan_orders = [
+        o for o in period_cps_orders if (o.platform or "meituan") == "meituan"
+    ]
     period_meituan_valid_orders = [
         o for o in period_meituan_orders if o.mt_status not in MEITUAN_CPS_INVALID_STATUSES
     ]
+    period_jd_orders = [o for o in period_cps_orders if o.platform == "jd"]
+    period_jd_valid_orders = [o for o in period_jd_orders if _jd_valid_order(o)]
+    period_jd_invalid_orders = [
+        o for o in period_jd_orders if o.jd_valid_code and not _jd_valid_order(o)
+    ]
     period_meituan_hit_count = 0
     period_meituan_miss_count = 0
     period_meituan_unknown_rate_count = 0
@@ -412,8 +479,8 @@ def dashboard_overview(
                 "retained_new_users": len(period_retained_new_user_ids),
                 "retention_rate": period_retention_rate,
                 "retention_note": (
-                    "近似口径:登录(last_login_at)+已上报比价记录+领券claim_started;"
-                    "尚不包含未完成上报的比价开始事件"
+                    "口径:登录(last_login_at)+开始比价(real_compare_start)+"
+                    "开始领券(real_coupon_start/claim_started),按用户去重"
                 ),
             },
             "comparison": {
@@ -450,7 +517,7 @@ def dashboard_overview(
         },
         "cps": {
             "available": True,
-            "note": "美团 CPS 读 cps_order 对账订单;淘宝/京东佣金暂空",
+            "note": "美团/JD CPS 读 cps_order 对账订单;淘宝佣金暂空",
             "meituan_order_count": len(period_meituan_valid_orders),
             "meituan_commission_cents": sum(
                 o.commission_cents or 0 for o in period_meituan_valid_orders
@@ -459,5 +526,17 @@ def dashboard_overview(
             "meituan_miss_count": period_meituan_miss_count,
             "meituan_unknown_rate_count": period_meituan_unknown_rate_count,
             "meituan_hit_rate": period_meituan_hit_rate,
+            "jd_order_count": len(period_jd_valid_orders),
+            # 数据大盘京东 CPS 只看实际佣金,不再用预估佣金兜底。
+            "jd_commission_cents": sum(
+                o.actual_commission_cents or 0 for o in period_jd_valid_orders
+            ),
+            "jd_actual_commission_cents": sum(
+                o.actual_commission_cents or 0 for o in period_jd_valid_orders
+            ),
+            "jd_estimated_commission_cents": sum(
+                o.estimated_commission_cents or 0 for o in period_jd_valid_orders
+            ),
+            "jd_invalid_count": len(period_jd_invalid_orders),
         },
     }

app/admin/routers/coupon_data.py

@@ -0,0 +1,106 @@
+"""admin「领券数据」看板:发起/完成数 + 领券耗时(均值 + P5/P50/P95/P99)+ 按天趋势 + 逐条明细。
+
+任意已登录 admin 可看(只读)。聚合逻辑在 app/admin/repositories/coupon_data.py。
+数据源 coupon_session(客户端 /api/v1/coupon/session 两段上报)。
+"""
+from __future__ import annotations
+
+from datetime import date as _date
+from typing import Annotated
+
+from fastapi import APIRouter, Depends, HTTPException, Query
+
+from app.admin.deps import AdminDb, get_current_admin
+from app.admin.repositories import coupon_data
+from app.admin.schemas.coupon_data import (
+    CouponDataDaily,
+    CouponDataHourly,
+    CouponDataOut,
+    CouponDataRow,
+    CouponDataSummary,
+    CouponUserRecordsOut,
+)
+from app.core.rewards import cn_today
+
+router = APIRouter(
+    prefix="/admin/api/coupon-data",
+    tags=["admin-coupon-data"],
+    dependencies=[Depends(get_current_admin)],
+)
+
+# 区间最大跨度(天);超出拒绝,避免一次拉过多天拖垮接口(对齐广告收益报表)。
+_MAX_RANGE_DAYS = 92
+
+
+def _parse_day(value: str | None, *, field: str, default: _date) -> _date:
+    if value is None:
+        return default
+    try:
+        return _date.fromisoformat(value)
+    except ValueError as e:
+        raise HTTPException(status_code=422, detail=f"{field} 需为 YYYY-MM-DD") from e
+
+
+@router.get(
+    "",
+    response_model=CouponDataOut,
+    summary="领券数据看板(发起/完成数 + 耗时分位 + 按天趋势 + 逐条明细)",
+)
+def get_coupon_data(
+    db: AdminDb,
+    date_from: Annotated[str | None, Query(description="起始日 北京 YYYY-MM-DD,默认今天")] = None,
+    date_to: Annotated[str | None, Query(description="结束日 北京 YYYY-MM-DD,闭区间,默认=date_from")] = None,
+    user: Annotated[str | None, Query(description="用户手机号/昵称模糊搜;不传=全部")] = None,
+    app_env: Annotated[str, Query(description="prod(默认) / dev / all(全部环境)")] = "prod",
+    granularity: Annotated[
+        str, Query(description="day=按天 / hour=按小时(北京);区间>1 天建议 day")
+    ] = "day",
+    limit: Annotated[int, Query(ge=1, le=1000, description="每页条数(分页大小)")] = 500,
+    offset: Annotated[int, Query(ge=0, description="分页偏移(已跳过条数)=(页码-1)×每页条数")] = 0,
+    sort: Annotated[
+        str, Query(description="排序:time=发起时间倒序(默认) / elapsed=耗时倒序")
+    ] = "time",
+) -> CouponDataOut:
+    today = cn_today()
+    d_from = _parse_day(date_from, field="date_from", default=today)
+    d_to = _parse_day(date_to, field="date_to", default=d_from)
+    if d_to < d_from:
+        raise HTTPException(status_code=422, detail="date_to 不能早于 date_from")
+    if (d_to - d_from).days + 1 > _MAX_RANGE_DAYS:
+        raise HTTPException(status_code=422, detail=f"区间最长 {_MAX_RANGE_DAYS} 天")
+
+    # 报表默认只看 prod(对齐广告报表防串台口径);app_env=all 时不过滤、看全部环境。
+    env = None if app_env == "all" else app_env
+    result = coupon_data.coupon_data_report(
+        db, date_from=d_from.isoformat(), date_to=d_to.isoformat(),
+        user=user, app_env=env, granularity=granularity,
+        limit=limit, offset=offset, sort=sort,
+    )
+    return CouponDataOut(
+        date_from=d_from.isoformat(),
+        date_to=d_to.isoformat(),
+        summary=CouponDataSummary(**result["summary"]),
+        daily=[CouponDataDaily(**d) for d in result["daily"]],
+        hourly=[CouponDataHourly(**h) for h in result["hourly"]],
+        total=result["total"],
+        items=[CouponDataRow(**r) for r in result["items"]],
+    )
+
+
+@router.get(
+    "/user-records",
+    response_model=CouponUserRecordsOut,
+    summary="某用户全部领券记录(点手机号抽屉:领券次数 + 记录列表)",
+)
+def get_user_coupon_records(
+    db: AdminDb,
+    user_id: Annotated[int, Query(description="用户 id")],
+    limit: Annotated[int, Query(ge=1, le=500, description="最多返回条数")] = 100,
+    sort_by: Annotated[str, Query(description="兼容 UserRecordsDrawer 参数;固定按发起时间倒序")] = "created_at",
+    sort_order: Annotated[str, Query(description="兼容参数,忽略")] = "desc",
+) -> CouponUserRecordsOut:
+    result = coupon_data.coupon_user_records(db, user_id=user_id, limit=limit)
+    return CouponUserRecordsOut(
+        items=[CouponDataRow(**r) for r in result["items"]],
+        total=result["total"],
+    )

app/admin/routers/cps.py

@@ -1,7 +1,7 @@
-"""admin CPS 分发与对账:群/活动管理 + 生成落地页短链 + 美团订单对账 + 统计。
+"""admin CPS 分发与对账:群/活动管理 + 生成落地页短链 + 联盟订单对账 + 统计。
 
 平台:meituan(actId+sid 转链 + query_order 对账) / taobao(整段淘口令) / jd(链接)。
-淘宝/京东无 API → 只统计点击(咱落地页 PV/UV + 淘宝复制),对账字段显示 "-"。
+淘宝暂未接 API → 只统计点击(咱落地页 PV/UV + 淘宝复制),对账字段显示 "-"。
 群/活动管理 = operator;订单对账(涉佣金) = finance;只读列表/统计 = 登录即可。
 """
 from __future__ import annotations
@@ -34,6 +34,7 @@ from app.admin.schemas.cps import (
 from app.core import media
 from app.core.config import settings
 from app.integrations import meituan
+from app.integrations.jd_union import JdUnionError
 from app.integrations.meituan import MeituanCpsError
 from app.models.admin import AdminUser
 from app.models.cps_activity import CpsActivity
@@ -373,7 +374,22 @@ def _reconcile_range_to_ts(
     return int(start_dt.timestamp()), int(end_dt.timestamp())
 
 
-@router.post("/orders/reconcile", response_model=CpsReconcileResult, summary="拉取美团订单对账")
+def _reconcile_range_to_bj_dt(
+    date_from: _date | None, date_to: _date | None, days: int
+) -> tuple[datetime, datetime]:
+    start_ts, end_ts = _reconcile_range_to_ts(date_from, date_to, days)
+    return (
+        datetime.fromtimestamp(start_ts, tz=_BEIJING),
+        datetime.fromtimestamp(end_ts, tz=_BEIJING),
+    )
+
+
+def _merge_reconcile_result(total: dict, current: dict) -> None:
+    for key in ("fetched", "inserted", "updated", "pages"):
+        total[key] = int(total.get(key, 0)) + int(current.get(key, 0))
+
+
+@router.post("/orders/reconcile", response_model=CpsReconcileResult, summary="拉取联盟订单对账")
 def reconcile_orders(
     request: Request,
     admin: Annotated[AdminUser, Depends(require_role("finance"))],
@@ -382,26 +398,42 @@ def reconcile_orders(
     date_to: Annotated[str | None, Query(description="结束日 YYYY-MM-DD")] = None,
     days: Annotated[int, Query(ge=1, le=90, description="未传日期时默认拉近 N 天")] = 7,
     sid: Annotated[str | None, Query(max_length=64)] = None,
-    query_time_type: Annotated[int, Query(ge=1, le=2)] = 1,
+    query_time_type: Annotated[int, Query(ge=1, le=3)] = 1,
+    platform: Annotated[str, Query(pattern="^(all|meituan|jd)$")] = "all",
 ) -> CpsReconcileResult:
-    start_ts, end_ts = _reconcile_range_to_ts(
-        _parse_day(date_from, field="date_from"),
-        _parse_day(date_to, field="date_to"),
-        days,
-    )
+    parsed_from = _parse_day(date_from, field="date_from")
+    parsed_to = _parse_day(date_to, field="date_to")
+    result = {"fetched": 0, "inserted": 0, "updated": 0, "pages": 0}
     try:
-        result = cps_repo.reconcile_orders(
-            db,
-            start_time=start_ts,
-            end_time=end_ts,
-            query_time_type=query_time_type,
-            sid=sid,
-        )
+        if platform in {"all", "meituan"}:
+            start_ts, end_ts = _reconcile_range_to_ts(parsed_from, parsed_to, days)
+            mt_result = cps_repo.reconcile_orders(
+                db,
+                start_time=start_ts,
+                end_time=end_ts,
+                query_time_type=query_time_type if query_time_type in (1, 2) else 2,
+                sid=sid,
+            )
+            _merge_reconcile_result(result, mt_result)
+        if platform in {"all", "jd"}:
+            if sid:
+                raise HTTPException(status_code=422, detail="京东订单刷新不支持 sid 筛选")
+            start_dt, end_dt = _reconcile_range_to_bj_dt(parsed_from, parsed_to, days)
+            jd_result = cps_repo.reconcile_jd_orders(
+                db,
+                start_time=start_dt,
+                end_time=end_dt,
+                query_time_type=query_time_type,
+            )
+            _merge_reconcile_result(result, jd_result)
     except MeituanCpsError as e:
         raise HTTPException(status_code=502, detail=f"美团拉单失败: {e}") from e
+    except JdUnionError as e:
+        raise HTTPException(status_code=502, detail=f"京东拉单失败: {e}") from e
     write_audit(
         db, admin, action="cps.order.reconcile", target_type="cps_order", target_id=None,
         detail={
+            "platform": platform,
             "date_from": date_from,
             "date_to": date_to,
             "days": days,

app/admin/schemas/ad_revenue.py

@@ -94,6 +94,11 @@ class AdRevenueRow(BaseModel):
     impressions: int = Field(..., description="本行展示条数:有展示=1 / 纯发奖=0(供日汇总、趋势图复用)")
     ecpm: str | None = Field(None, description="eCPM 原始值(分/千次);展示行取展示值,纯发奖行取发奖采用值")
     revenue_yuan: float = Field(..., description="本次展示预估收益(元)= eCPM元 ÷ 1000;纯发奖行=0")
+    row_revenue_yuan: float | None = Field(
+        None,
+        description="主表逐行展示用的预估收益(元):一次比价/领券聚合行=该次发奖广告 eCPM 折算之和;"
+        "其它行为空(前端回退取 revenue_yuan)。不进合计/趋势,避免与展示侧重复计",
+    )
     adn: str | None = Field(None, description="实际填充 ADN 子渠道(pangle/gdt…);纯发奖行为空")
     slot_id: str | None = Field(None, description="底层 mediation rit(非我们配置的广告位 ID);纯发奖行为空")
     # ── 发奖侧 ──
@@ -106,6 +111,15 @@ class AdRevenueRow(BaseModel):
         None,
         description="发奖复算明细(eCPM/因子1/份数/LT/因子2/应发/实发/一致);点行展开下钻用,纯展示为空",
     )
+    sub_rewards: list[AdRevenueRecord] = Field(
+        default_factory=list,
+        description="一次比价/领券聚合行的组内逐条发奖明细(同一整场 ad_session_id 的多条广告);"
+        "点行展开渲染多行。激励视频/纯展示行为空(单条看 reward_detail)",
+    )
+    sub_count: int = Field(
+        1,
+        description="本行聚合的发奖条数:一次比价/领券=该次广告条数(≥1);激励视频/纯展示=1",
+    )
 
 
 class AdRevenueReportOut(BaseModel):

app/admin/schemas/coupon_data.py

@@ -0,0 +1,83 @@
+"""admin「领券数据」看板 schemas:汇总卡 + 按天/小时趋势 + 逐条领券明细。
+
+数据源 coupon_session(一次领券一行)。耗时单位 ms(前端按需折秒);均值/分位只统计 completed。
+"""
+from __future__ import annotations
+
+from datetime import datetime
+
+from pydantic import BaseModel, Field
+
+
+class CouponDataSummary(BaseModel):
+    """汇总卡:发起/完成数 + 耗时均值与分位(P5/P50/P95/P99,基于 completed 的 elapsed_ms)。"""
+
+    started_count: int = Field(..., description="发起数(区间内所有领券 session)")
+    completed_count: int = Field(..., description="完成数(status=completed)")
+    avg_elapsed_ms: int | None = Field(None, description="平均耗时(ms,仅 completed;无数据为空)")
+    p5_ms: int | None = Field(None, description="耗时 5 分位(ms)")
+    p50_ms: int | None = Field(None, description="耗时 50 分位(ms,中位数)")
+    p95_ms: int | None = Field(None, description="耗时 95 分位(ms)")
+    p99_ms: int | None = Field(None, description="耗时 99 分位(ms)")
+
+
+class CouponDataDaily(BaseModel):
+    """按天趋势(全量,不受分页影响):柱=发起/完成数,线=平均耗时。"""
+
+    date: str = Field(..., description="北京时间 YYYY-MM-DD")
+    started_count: int
+    completed_count: int
+    avg_elapsed_ms: int | None = Field(None, description="当天平均耗时(ms,仅 completed)")
+
+
+class CouponDataHourly(BaseModel):
+    """按北京小时(0–23)趋势(单日 granularity=hour 时非空)。"""
+
+    hour: int = Field(..., description="北京时间小时 0–23")
+    started_count: int
+    completed_count: int
+    avg_elapsed_ms: int | None = None
+
+
+class CouponDataRow(BaseModel):
+    """一条领券明细(一次领券任务)。"""
+
+    id: int = Field(..., description="coupon_session 主键(抽屉 rowKey 用)")
+    trace_id: str
+    user_id: int | None = None
+    user_phone: str | None = Field(None, description="手机号(admin 展示;匿名领券/查不到为空)")
+    user_nickname: str | None = Field(None, description="昵称")
+    status: str = Field(..., description="started / completed / failed / abandoned")
+    platforms: list[str] | None = Field(None, description="发起勾选平台")
+    origin_package: str | None = Field(None, description="发起来源 App 包名;null=App 内(傻瓜比价首页)发起")
+    elapsed_ms: int | None = Field(None, description="全程耗时(ms)")
+    platform_elapsed: dict[str, int] | None = Field(
+        None, description="各平台耗时 {meituan-waimai/taobao-shanguang/jd-waimai: ms}"
+    )
+    device_model: str | None = None
+    rom: str | None = None
+    app_env: str | None = None
+    started_at: datetime = Field(..., description="发起时刻(明细「时间」列)")
+    claimed_count: int | None = None
+    trace_url: str | None = Field(None, description="pricebot 公网 trace 链接(仅 completed 有);admin 渲染可点链接,无则显示可复制 trace_id")
+
+
+class CouponDataOut(BaseModel):
+    """领券数据看板响应:汇总卡 + 趋势 + 明细分页。"""
+
+    date_from: str
+    date_to: str
+    summary: CouponDataSummary
+    daily: list[CouponDataDaily] = Field(default_factory=list, description="按天趋势(全量)")
+    hourly: list[CouponDataHourly] = Field(
+        default_factory=list, description="按小时趋势(单日 hour 粒度时非空)"
+    )
+    total: int = Field(..., description="明细总条数(全量,不受分页)")
+    items: list[CouponDataRow] = Field(..., description="逐条领券明细(当前页)")
+
+
+class CouponUserRecordsOut(BaseModel):
+    """某用户全部领券记录(点手机号抽屉用):total=该用户领券总次数,items=记录列表(UserRecordsDrawer 渲染)。"""
+
+    items: list[CouponDataRow]
+    total: int

app/admin/schemas/cps.py

@@ -1,7 +1,7 @@
 """admin CPS 分发与对账 schemas。金额统一「分」(cents),前端 yuan() 展示。
 
-平台:meituan(actId+sid 转链对账) / taobao(淘口令,只统计点击) / jd(链接,只统计点击)。
-对账类字段对淘宝/京东为 None → 前端显示 "-"(无法对账)。
+平台:meituan(actId+sid 转链对账) / taobao(淘口令,只统计点击) / jd(链接 + 订单 API 对账)。
+对账类字段对淘宝为 None → 前端显示 "-"(暂未对账)。
 """
 from __future__ import annotations
 
@@ -116,15 +116,22 @@ class CpsOrderOut(BaseModel):
     model_config = ConfigDict(from_attributes=True)
 
     id: int
+    platform: str = "meituan"
     order_id: str
+    external_order_id: str | None = None
+    external_row_id: str | None = None
     sid: str | None = None
     act_id: str | None = None
     pay_price_cents: int | None = None
     commission_cents: int | None = None
+    estimated_commission_cents: int | None = None
+    actual_commission_cents: int | None = None
     commission_rate: str | None = None
     mt_status: str | None = None
+    jd_valid_code: str | None = None
     invalid_reason: str | None = None
     product_name: str | None = None
+    settle_month: str | None = None
     pay_time: datetime | None = None
 
 

app/admin/schemas/dashboard.py

@@ -103,6 +103,11 @@ class DashboardCps(BaseModel):
     meituan_miss_count: int = 0
     meituan_unknown_rate_count: int = 0
     meituan_hit_rate: float | None = None
+    jd_order_count: int = 0
+    jd_commission_cents: int = 0
+    jd_actual_commission_cents: int = 0
+    jd_estimated_commission_cents: int = 0
+    jd_invalid_count: int = 0
 
 
 class DashboardOverview(BaseModel):

app/admin/schemas/user.py

@@ -17,6 +17,7 @@ class AdminUserListItem(BaseModel):
     status: str
     debug_trace_enabled: bool = False
     wechat_openid: str | None = None
+    wechat_nickname: str | None = None
     created_at: datetime
     last_login_at: datetime