feat(ad-revenue): 收益报表按一次比价/领券聚合(trace 合并)+ 微信昵称/签到时间修复 (#103)

- 报表主表改为「单次广告行为」:激励视频=一次观看一行;一次比价/领券=同一 trace_id(整场,
  无 trace 时兜底 ad_session_id)的多条发奖聚成一行,点开看逐条金币复算。中途跳转广告致浮层重弹、
  ad_session_id 变化也能按 trace 归一行。
- 信息流统一 Draw(业务已全切):新增 audit 的 feed_all scene,让「Draw 信息流」筛选覆盖历史误标的
  feed/NULL;聚合行 ad_type 统一 draw;_feed_rows 带出 trace_id 供聚合。
- 父行补 sub_rewards(组内逐条复算明细)、sub_count;row_revenue_yuan=该次发奖广告 eCPM 折算收益之和,
  仅供主表逐行展示、不进合计/趋势(避免与展示侧 total 重复计)。
- 用户 360 概览(AdminUserListItem)返回 wechat_nickname,供收益详情抽屉显示微信昵称。
- 金币记录:签到来自 coin_transaction(存北京 wall-clock),组装时转 UTC 与广告记录统一,修抽屉签到
  时间多 8 小时;签到窗口边界 +8h 对齐;顺带补 _window_conds 引用却从未定义的 _as_utc_naive
  (自定义区间会 NameError)。

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

---------

Co-authored-by: zzhyyyyy <2685922758@qq.com>
Reviewed-on: #103
Co-authored-by: zhuzihao <zhuzihao@wonderable.ai>
Co-committed-by: zhuzihao <zhuzihao@wonderable.ai>

alembic/versions/761ef181ce7c_merge_jd_cps_order_fields_and_coupon_.py

@@ -0,0 +1,26 @@
+"""merge jd_cps_order_fields and coupon_session_origin_package heads
+
+Revision ID: 761ef181ce7c
+Revises: coupon_session_origin_package, jd_cps_order_fields
+Create Date: 2026-07-01 13:52:16.068808
+
+"""
+from typing import Sequence, Union
+
+from alembic import op
+import sqlalchemy as sa
+
+
+# revision identifiers, used by Alembic.
+revision: str = '761ef181ce7c'
+down_revision: Union[str, Sequence[str], None] = ('coupon_session_origin_package', 'jd_cps_order_fields')
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    pass
+
+
+def downgrade() -> None:
+    pass

alembic/versions/coupon_session_origin_package.py

@@ -0,0 +1,32 @@
+"""coupon_session 加 origin_package 列(发起来源 App 包名 → admin「发起平台」)
+
+null=App 内(傻瓜比价首页)发起,非空=从美团/淘宝/京东弹券发起。与 trace_url 同理单独成迁移,
+已建表环境靠它补列、全新环境顺序应用,不重复加列。
+
+Revision ID: coupon_session_origin_package
+Revises: coupon_session_trace_url
+Create Date: 2026-06-30 00:00:00.000000
+
+"""
+
+from collections.abc import Sequence
+
+import sqlalchemy as sa
+
+from alembic import op
+
+# revision identifiers, used by Alembic.
+revision: str = "coupon_session_origin_package"
+down_revision: str | Sequence[str] | None = "coupon_session_trace_url"
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def upgrade() -> None:
+    with op.batch_alter_table("coupon_session", schema=None) as batch_op:
+        batch_op.add_column(sa.Column("origin_package", sa.String(length=64), nullable=True))
+
+
+def downgrade() -> None:
+    with op.batch_alter_table("coupon_session", schema=None) as batch_op:
+        batch_op.drop_column("origin_package")

alembic/versions/coupon_session_table.py

@@ -0,0 +1,81 @@
+"""coupon session table(领券任务全程流水 → admin「领券数据」看板数据源)
+
+一次领券一行(trace_id 唯一):客户端 POST /api/v1/coupon/session 两段上报 —— 发起建行
+(status=started)、收尾(completed/failed/abandoned)按 trace_id 更新同一行。记全程耗时
+elapsed_ms + 各平台耗时 platform_elapsed + 机型/ROM,供 admin 算发起/完成数、耗时分位、机型维度。
+
+Revision ID: coupon_session_table
+Revises: feedback_submit_env
+Create Date: 2026-06-30 00:00:00.000000
+
+"""
+
+from collections.abc import Sequence
+
+import sqlalchemy as sa
+from sqlalchemy.dialects import postgresql
+
+from alembic import op
+
+# revision identifiers, used by Alembic.
+revision: str = "coupon_session_table"
+down_revision: str | Sequence[str] | None = "feedback_submit_env"
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+# PG 用 JSONB,SQLite(本地/测试)退化为通用 JSON(同 model 的 _JSON variant)。
+_JSON = sa.JSON().with_variant(postgresql.JSONB(), "postgresql")
+
+
+def upgrade() -> None:
+    op.create_table(
+        "coupon_session",
+        sa.Column("id", sa.Integer(), autoincrement=True, nullable=False),
+        sa.Column("trace_id", sa.String(length=64), nullable=False),
+        sa.Column("device_id", sa.String(length=64), nullable=False),
+        sa.Column("user_id", sa.Integer(), nullable=True),
+        sa.Column("status", sa.String(length=16), nullable=False),
+        sa.Column("app_env", sa.String(length=16), nullable=True),
+        sa.Column("platforms", _JSON, nullable=True),
+        sa.Column("device_model", sa.String(length=128), nullable=True),
+        sa.Column("rom", sa.String(length=64), nullable=True),
+        sa.Column("started_at", sa.DateTime(timezone=True), nullable=False),
+        sa.Column("started_date", sa.Date(), nullable=False),
+        sa.Column("finished_at", sa.DateTime(timezone=True), nullable=True),
+        sa.Column("elapsed_ms", sa.Integer(), nullable=True),
+        sa.Column("platform_elapsed", _JSON, nullable=True),
+        sa.Column("claimed_count", sa.Integer(), nullable=True),
+        sa.Column(
+            "created_at",
+            sa.DateTime(timezone=True),
+            server_default=sa.text("(CURRENT_TIMESTAMP)"),
+            nullable=False,
+        ),
+        sa.Column(
+            "updated_at",
+            sa.DateTime(timezone=True),
+            server_default=sa.text("(CURRENT_TIMESTAMP)"),
+            nullable=False,
+        ),
+        sa.PrimaryKeyConstraint("id"),
+        sa.UniqueConstraint("trace_id", name="uq_coupon_session_trace"),
+    )
+    with op.batch_alter_table("coupon_session", schema=None) as batch_op:
+        batch_op.create_index(
+            batch_op.f("ix_coupon_session_user_id"), ["user_id"], unique=False
+        )
+        batch_op.create_index(
+            batch_op.f("ix_coupon_session_app_env"), ["app_env"], unique=False
+        )
+        # admin 主聚合/筛选:按上海自然日 + 环境。
+        batch_op.create_index(
+            "ix_coupon_session_date_env", ["started_date", "app_env"], unique=False
+        )
+
+
+def downgrade() -> None:
+    with op.batch_alter_table("coupon_session", schema=None) as batch_op:
+        batch_op.drop_index("ix_coupon_session_date_env")
+        batch_op.drop_index(batch_op.f("ix_coupon_session_app_env"))
+        batch_op.drop_index(batch_op.f("ix_coupon_session_user_id"))
+    op.drop_table("coupon_session")

alembic/versions/coupon_session_trace_url.py

@@ -0,0 +1,32 @@
+"""coupon_session 加 trace_url 列(pricebot done 帧公网调试链接)
+
+建表迁移 coupon_session_table 落地后才追加本列,故单独成一个迁移:已建表的环境(本地/已 upgrade 过)
+靠它补列,全新环境则「建表(无 trace_url)→ 本迁移加列」,两条路一致、不重复加列。
+
+Revision ID: coupon_session_trace_url
+Revises: coupon_session_table
+Create Date: 2026-06-30 00:00:00.000000
+
+"""
+
+from collections.abc import Sequence
+
+import sqlalchemy as sa
+
+from alembic import op
+
+# revision identifiers, used by Alembic.
+revision: str = "coupon_session_trace_url"
+down_revision: str | Sequence[str] | None = "coupon_session_table"
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def upgrade() -> None:
+    with op.batch_alter_table("coupon_session", schema=None) as batch_op:
+        batch_op.add_column(sa.Column("trace_url", sa.String(length=512), nullable=True))
+
+
+def downgrade() -> None:
+    with op.batch_alter_table("coupon_session", schema=None) as batch_op:
+        batch_op.drop_column("trace_url")

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/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/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/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/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
 

app/api/v1/coupon.py

@@ -29,6 +29,7 @@ from app.schemas.coupon_state import (
     CouponPromptDismissIn,
     CouponPromptShouldShowOut,
     CouponPromptShownIn,
+    CouponSessionIn,
     CouponStatsOut,
 )
 
@@ -194,6 +195,34 @@ async def coupon_step(
     return resp_json
 
 
+@router.post("/session", summary="领券任务流水上报(admin 领券数据看板数据源)")
+def coupon_session(payload: CouponSessionIn, db: DbSession) -> dict[str, bool]:
+    """客户端两段上报一次领券流水(发起 started / 收尾 completed-failed-abandoned),按 trace_id upsert
+    到 coupon_session。不鉴权(同领券循环 MVP,按 device_id/trace_id);供 admin「领券数据」看板算
+    发起/完成数、耗时分位、机型维度。写库失败不应连累客户端(本就 fire-and-forget),吞掉返回 ok。"""
+    try:
+        coupon_repo.upsert_coupon_session(
+            db,
+            trace_id=payload.trace_id,
+            device_id=payload.device_id,
+            status=payload.status,
+            started_at_ms=payload.started_at_ms,
+            user_id=payload.user_id,
+            platforms=payload.platforms,
+            origin_package=payload.origin_package,
+            device_model=payload.device_model,
+            rom=payload.rom,
+            app_env=payload.app_env,
+            elapsed_ms=payload.elapsed_ms,
+            platform_elapsed=payload.platform_elapsed,
+            claimed_count=payload.claimed_count,
+            trace_url=payload.trace_url,
+        )
+    except Exception as e:  # noqa: BLE001
+        logger.warning("coupon session write failed: %s", e)
+    return {"ok": True}
+
+
 @router.post("/prompt/shown", summary="领券引导窗弹出即上报(按 App 记 shown)")
 def coupon_prompt_shown(payload: CouponPromptShownIn, db: DbSession) -> dict[str, bool]:
     """客户端弹出引导窗那刻调 → 记一条今日 engagement(shown),今天**这个 App** 不再自动弹。

app/models/__init__.py

@@ -19,6 +19,7 @@ from app.models.coupon_state import (  # noqa: F401
     CouponClaimRecord,
     CouponDailyCompletion,
     CouponPromptEngagement,
+    CouponSession,
 )
 from app.models.feedback import Feedback  # noqa: F401
 from app.models.invite import InviteRelation  # noqa: F401

app/models/coupon_state.py

@@ -181,3 +181,79 @@ class CouponPromptEngagement(Base):
             f"<CouponPromptEngagement device={self.device_id} "
             f"date={self.engage_date} type={self.engage_type}>"
         )
+
+
+class CouponSession(Base):
+    """一次领券任务的全程流水(admin「领券数据」看板数据源,2026-06-30)。
+
+    与 coupon_claim_record(按券一天一条去重)、coupon_daily_completion(按设备一天一条)都不同:
+    本表**一次领券一条**(trace_id 唯一),记从发起(started)到收尾(completed/failed/abandoned)的
+    全程耗时 + 各平台耗时 + 机型/ROM。客户端 POST /api/v1/coupon/session 两段上报:发起建行、
+    收尾按 trace_id 更新同一行。发起即落库 → admin 可算「发起数」与中途流失(started 无终态=未完成)。
+
+    口径:elapsed_ms 由客户端全程计时(点发起→收尾)、权威;started_at/finished_at 为时刻留痕。
+    started_date = started_at 的 Asia/Shanghai 自然日,供 admin 按天聚合 / 日期筛选(索引)。
+    """
+
+    __tablename__ = "coupon_session"
+    __table_args__ = (
+        # 一次领券一行:trace_id 幂等 upsert(发起建、收尾更新同一行)。
+        UniqueConstraint("trace_id", name="uq_coupon_session_trace"),
+        # admin 主聚合/筛选:按上海自然日 + 环境(报表默认只看 prod,避免测试数据串台)。
+        Index("ix_coupon_session_date_env", "started_date", "app_env"),
+    )
+
+    id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
+
+    # 一次领券唯一 id(客户端 UUID,全程贯穿),upsert 键。
+    trace_id: Mapped[str] = mapped_column(String(64), nullable=False)
+    device_id: Mapped[str] = mapped_column(String(64), nullable=False)
+    # 登录态才带(admin join 用户表出手机号/昵称);匿名领券为空。
+    user_id: Mapped[int | None] = mapped_column(Integer, index=True, nullable=True)
+
+    # started / completed / failed / abandoned。started 无终态 = 中途流失(未完成)。
+    status: Mapped[str] = mapped_column(String(16), nullable=False)
+    # prod / dev(客户端 BuildConfig.DEBUG)。admin 报表默认只看 prod(对齐广告报表防串台口径)。
+    app_env: Mapped[str | None] = mapped_column(String(16), index=True, nullable=True)
+
+    # 发起勾选平台 ["meituan-waimai", ...](空=全领)。
+    platforms: Mapped[list | None] = mapped_column(_JSON, nullable=True)
+    # 发起来源外卖 App 包名;null=App 内(傻瓜比价首页)发起,非空=从美团/淘宝/京东弹券发起。
+    # admin「发起平台」列据此区分(空→傻瓜比价,包名→对应平台)。
+    origin_package: Mapped[str | None] = mapped_column(String(64), nullable=True)
+    # 机型(Build.MANUFACTURER + MODEL)与 ROM(OemDetector,如 "ColorOS 14")。明细「机型/ROM」列 + 维度筛选。
+    device_model: Mapped[str | None] = mapped_column(String(128), nullable=True)
+    rom: Mapped[str | None] = mapped_column(String(64), nullable=True)
+
+    # 发起时刻(客户端墙钟):明细「时间」列、趋势 X 轴。
+    started_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False)
+    # 发起的 Asia/Shanghai 自然日:按天聚合 / 日期范围筛选(索引)。
+    started_date: Mapped[date] = mapped_column(Date, nullable=False)
+    # 收尾时刻(服务端 now);未收尾(流失)为空。
+    finished_at: Mapped[datetime | None] = mapped_column(
+        DateTime(timezone=True), nullable=True
+    )
+
+    # 全程耗时(ms,客户端点发起→收尾):平均 / 分位都基于它(只统计 completed)。
+    elapsed_ms: Mapped[int | None] = mapped_column(Integer, nullable=True)
+    # 各平台领券耗时 {"meituan-waimai":3200,...}(ms)。明细美团/淘宝/京东耗时列。
+    platform_elapsed: Mapped[dict | None] = mapped_column(_JSON, nullable=True)
+    # 领到总张数(收尾帧带)。
+    claimed_count: Mapped[int | None] = mapped_column(Integer, nullable=True)
+    # pricebot done 帧回传的公网调试链接(price.shaguabijia.com/traces/{dir});含落盘时分秒、拼不出,只能存
+    # (同 ComparisonRecord.trace_url)。admin「领券数据」明细据此渲染可点 trace 链接;未到 done(failed/abandoned)为空。
+    trace_url: Mapped[str | None] = mapped_column(String(512), nullable=True)
+
+    created_at: Mapped[datetime] = mapped_column(
+        DateTime(timezone=True), server_default=func.now(), nullable=False
+    )
+    updated_at: Mapped[datetime] = mapped_column(
+        DateTime(timezone=True), server_default=func.now(), onupdate=func.now(),
+        nullable=False,
+    )
+
+    def __repr__(self) -> str:  # pragma: no cover
+        return (
+            f"<CouponSession trace={self.trace_id} status={self.status} "
+            f"elapsed_ms={self.elapsed_ms}>"
+        )

app/repositories/coupon_state.py

@@ -6,7 +6,7 @@
 from __future__ import annotations
 
 import logging
-from datetime import date, datetime
+from datetime import date, datetime, timezone
 from zoneinfo import ZoneInfo
 
 from sqlalchemy import delete, func, select
@@ -17,6 +17,7 @@ from app.models.coupon_state import (
     CouponClaimRecord,
     CouponDailyCompletion,
     CouponPromptEngagement,
+    CouponSession,
 )
 
 logger = logging.getLogger("shagua.coupon_state")
@@ -232,3 +233,91 @@ def sum_claimed_count(db: Session, user_id: int) -> int:
         )
     ).scalar_one()
     return int(total or 0)
+
+
+# ===== 领券任务流水(coupon_session,admin「领券数据」看板数据源)=====
+
+def upsert_coupon_session(
+    db: Session,
+    *,
+    trace_id: str,
+    device_id: str,
+    status: str,
+    started_at_ms: int,
+    user_id: int | None = None,
+    platforms: list[str] | None = None,
+    origin_package: str | None = None,
+    device_model: str | None = None,
+    rom: str | None = None,
+    app_env: str | None = None,
+    elapsed_ms: int | None = None,
+    platform_elapsed: dict | None = None,
+    claimed_count: int | None = None,
+    trace_url: str | None = None,
+) -> None:
+    """一条领券流水按 trace_id 幂等 upsert(发起 started 建行、收尾终态更新同一行)。
+
+    - 乱序/重复兜底:终态(completed/failed/abandoned)先到也建行;started 重复到不覆盖已有终态
+      (状态只前进,不降级)。
+    - started_at 由客户端墙钟毫秒转;started_date 取其 Asia/Shanghai 自然日(admin 按天聚合/筛选)。
+    - 终态帧补 finished_at=服务端 now;各字段非空才写(避免 started 帧的 None 抹掉收尾值,反之亦然)。
+    并发 IntegrityError 回滚忽略(本就幂等)。
+    """
+    started_at = datetime.fromtimestamp(started_at_ms / 1000, tz=timezone.utc)
+    started_date = started_at.astimezone(_CN_TZ).date()
+    is_terminal = status in ("completed", "failed", "abandoned")
+
+    row = db.execute(
+        select(CouponSession).where(CouponSession.trace_id == trace_id)
+    ).scalar_one_or_none()
+
+    if row is None:
+        db.add(CouponSession(
+            trace_id=trace_id,
+            device_id=device_id,
+            user_id=user_id,
+            status=status,
+            app_env=app_env,
+            platforms=platforms,
+            origin_package=origin_package,
+            device_model=device_model,
+            rom=rom,
+            started_at=started_at,
+            started_date=started_date,
+            finished_at=datetime.now(timezone.utc) if is_terminal else None,
+            elapsed_ms=elapsed_ms,
+            platform_elapsed=platform_elapsed,
+            claimed_count=claimed_count,
+            trace_url=trace_url,
+        ))
+    else:
+        # 状态只前进:started 帧重复到(如 START_STICKY 重启)不把已有终态降级回 started。
+        if not (status == "started" and row.status in ("completed", "failed", "abandoned")):
+            row.status = status
+        if is_terminal:
+            row.finished_at = datetime.now(timezone.utc)
+        if user_id is not None:
+            row.user_id = user_id
+        if platforms is not None:
+            row.platforms = platforms
+        if origin_package is not None:
+            row.origin_package = origin_package
+        if device_model is not None:
+            row.device_model = device_model
+        if rom is not None:
+            row.rom = rom
+        if app_env is not None:
+            row.app_env = app_env
+        if elapsed_ms is not None:
+            row.elapsed_ms = elapsed_ms
+        if platform_elapsed is not None:
+            row.platform_elapsed = platform_elapsed
+        if claimed_count is not None:
+            row.claimed_count = claimed_count
+        if trace_url is not None:
+            row.trace_url = trace_url
+    try:
+        db.commit()
+    except IntegrityError:
+        # 并发下另一请求刚插了同 trace_id → 唯一约束撞,回滚忽略(本就幂等)。
+        db.rollback()

app/schemas/coupon_state.py

@@ -49,3 +49,28 @@ class CouponStatsOut(BaseModel):
     """
 
     coupon_count: int
+
+
+class CouponSessionIn(BaseModel):
+    """客户端领券流水上报体(admin「领券数据」看板数据源,POST /api/v1/coupon/session)。
+
+    一次领券两段上报,按 trace_id upsert 到 coupon_session:
+    - 发起(status=started):带勾选平台 + 机型/ROM/app_env + started_at_ms(发起墙钟毫秒)。
+    - 收尾(completed/failed/abandoned):带 elapsed_ms(全程耗时)+ platform_elapsed(各平台耗时)+ claimed_count。
+    不鉴权(同领券循环 MVP,按 device_id/trace_id),user_id 登录态带上做留痕(可空)。
+    """
+
+    trace_id: str
+    device_id: str
+    status: str  # started / completed / failed / abandoned
+    started_at_ms: int  # 发起墙钟毫秒(客户端 System.currentTimeMillis)
+    user_id: int | None = None
+    platforms: list[str] | None = None
+    origin_package: str | None = None
+    device_model: str | None = None
+    rom: str | None = None
+    app_env: str | None = None
+    elapsed_ms: int | None = None
+    platform_elapsed: dict[str, int] | None = None
+    claimed_count: int | None = None
+    trace_url: str | None = None