feat(auth): 发码防刷统一走设备维度 — 删 IP 那道 + 阈值 10→5

- /sms/send 去掉路由上的 IP 维度限流(rate_limit 依赖):统一由设备(device_id)那道兜
  (产品决议:IP 那道会风控同 IP 的测试号,而测试号已豁免设备那道)。
- 设备发码限流阈值 10 → 5(与登录一致)。
- 同步 sms.py 防刷分层注释。
⚠️ 取舍:device_id 客户端可伪造/轮换,脚本轮换 id 可绕过发码限流;挡脚本狂发改主要靠极光控制台侧。

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

alembic/versions/1699fc2c069f_add_analytics_event_table.py

@@ -0,0 +1,65 @@
+"""add analytics_event table
+
+Revision ID: 1699fc2c069f
+Revises: bcfcaf07152b
+Create Date: 2026-06-26 16:35:16.133975
+
+"""
+from collections.abc import Sequence
+
+import sqlalchemy as sa
+
+from alembic import op
+
+# revision identifiers, used by Alembic.
+revision: str = '1699fc2c069f'
+down_revision: str | Sequence[str] | None = 'bcfcaf07152b'
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def upgrade() -> None:
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.create_table('analytics_event',
+    sa.Column('id', sa.Integer(), autoincrement=True, nullable=False),
+    sa.Column('event', sa.String(length=64), nullable=False),
+    sa.Column('props', sa.JSON(), nullable=True),
+    sa.Column('device_id', sa.String(length=64), nullable=False),
+    sa.Column('user_id', sa.Integer(), nullable=True),
+    sa.Column('session_id', sa.String(length=64), nullable=True),
+    sa.Column('client_ts', sa.BigInteger(), nullable=False),
+    sa.Column('sent_at', sa.BigInteger(), nullable=True),
+    sa.Column('page', sa.String(length=64), nullable=True),
+    sa.Column('client_ip', sa.String(length=64), nullable=True),
+    sa.Column('oem', sa.String(length=32), nullable=True),
+    sa.Column('os', sa.String(length=32), nullable=True),
+    sa.Column('model', sa.String(length=64), nullable=True),
+    sa.Column('app_ver', sa.String(length=32), nullable=True),
+    sa.Column('network', sa.String(length=16), nullable=True),
+    sa.Column('channel', sa.String(length=32), nullable=True),
+    sa.Column('created_at', sa.DateTime(timezone=True), server_default=sa.text('(CURRENT_TIMESTAMP)'), nullable=False),
+    sa.PrimaryKeyConstraint('id')
+    )
+    with op.batch_alter_table('analytics_event', schema=None) as batch_op:
+        batch_op.create_index(batch_op.f('ix_analytics_event_created_at'), ['created_at'], unique=False)
+        batch_op.create_index(batch_op.f('ix_analytics_event_device_id'), ['device_id'], unique=False)
+        batch_op.create_index(batch_op.f('ix_analytics_event_event'), ['event'], unique=False)
+        batch_op.create_index(batch_op.f('ix_analytics_event_session_id'), ['session_id'], unique=False)
+        batch_op.create_index(batch_op.f('ix_analytics_event_user_id'), ['user_id'], unique=False)
+
+    # 注:autogenerate 顺带检出 ad_ecpm/cps_*/invite_fingerprint 的历史索引漂移,
+    # 与本次「新增埋点表」无关,已手动移除,避免本迁移误改他人表。
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table('analytics_event', schema=None) as batch_op:
+        batch_op.drop_index(batch_op.f('ix_analytics_event_user_id'))
+        batch_op.drop_index(batch_op.f('ix_analytics_event_session_id'))
+        batch_op.drop_index(batch_op.f('ix_analytics_event_event'))
+        batch_op.drop_index(batch_op.f('ix_analytics_event_device_id'))
+        batch_op.drop_index(batch_op.f('ix_analytics_event_created_at'))
+
+    op.drop_table('analytics_event')
+    # ### end Alembic commands ###

alembic/versions/c2874d2bf705_add_ad_type_to_ad_feed_reward_and_feed_.py

@@ -0,0 +1,46 @@
+"""add ad_type to ad_feed_reward and feed_scene to ad_ecpm
+
+把信息流广告全面改造成 Draw 信息流(draw):
+- ad_feed_reward_record.ad_type:广告形态 feed(信息流) / draw(Draw 信息流)。可空,旧数据 NULL
+  一律视为 feed(向后兼容);每日上限与因子2(LT)仍按本表全表 unit 累计,不按 ad_type 拆。
+- ad_ecpm_record.feed_scene:点位场景 comparison(比价) / coupon(领券) / welfare(福利),供广告
+  收益报表区分比价/领券 Draw 收益;仅信息流/Draw 上报,激励视频为 NULL。
+
+注:autogenerate 会顺带探测到 analytics_event / cps_* / invite_fingerprint 等无关索引差异(本地库与
+metadata 漂移、analytics 模型尚未并入 __init__),与本次改动无关,已手工剔除——本迁移只 add 两列。
+SQLite 经 env.py 的 render_as_batch 自动走 batch_alter_table 重建表。
+
+Revision ID: c2874d2bf705
+Revises: 1699fc2c069f
+Create Date: 2026-06-26 16:48:52.158609
+
+"""
+from collections.abc import Sequence
+
+import sqlalchemy as sa
+
+from alembic import op
+
+# revision identifiers, used by Alembic.
+revision: str = "c2874d2bf705"
+down_revision: str | Sequence[str] | None = "1699fc2c069f"
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def upgrade() -> None:
+    # 信息流发奖记录:新增广告形态 feed/draw(可空,旧数据 NULL=feed)
+    op.add_column(
+        "ad_feed_reward_record",
+        sa.Column("ad_type", sa.String(length=16), nullable=True),
+    )
+    # eCPM 展示上报:新增点位场景 comparison/coupon/welfare(可空,激励视频/旧数据 NULL)
+    op.add_column(
+        "ad_ecpm_record",
+        sa.Column("feed_scene", sa.String(length=16), nullable=True),
+    )
+
+
+def downgrade() -> None:
+    op.drop_column("ad_ecpm_record", "feed_scene")
+    op.drop_column("ad_feed_reward_record", "ad_type")

app/admin/main.py

@@ -24,6 +24,7 @@ from app.admin.routers.config import router as config_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.ops_stat_config import router as ops_stat_config_router
+from app.admin.routers.event_logs import router as event_logs_router
 from app.admin.routers.feedback import router as feedback_router
 from app.admin.routers.feedback_qr import router as feedback_qr_router
 from app.admin.routers.onboarding import router as onboarding_router
@@ -91,6 +92,7 @@ admin_app.include_router(wallet_router)
 admin_app.include_router(withdraw_router)
 admin_app.include_router(price_report_router)
 admin_app.include_router(feedback_router)
+admin_app.include_router(event_logs_router)
 admin_app.include_router(feedback_qr_router)
 admin_app.include_router(admins_router)
 admin_app.include_router(audit_router)

app/admin/repositories/ad_audit.py

@@ -128,8 +128,28 @@ def _feed_prior_granted_units(
     return {uid: int(n) for uid, n in db.execute(stmt).all()}
 
 
-def _feed_rows(db: Session, *, date: str, user_id: int | None) -> list[dict]:
-    """信息流记录复算。granted 记录逐份累加,LT 序号沿用账号累计份数(含本日之前)。"""
+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 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"
+    return True
+
+
+def _feed_rows(
+    db: Session, *, date: str, user_id: int | None, scene: str | None = None
+) -> list[dict]:
+    """信息流记录复算。granted 记录逐份累加,LT 序号沿用账号累计份数(含本日之前)。
+
+    **关键:LT 因子账号累计按全表 unit 累计(feed+draw 共享同一发奖池/上限),不按 ad_type 拆分**——
+    故无论 scene 怎么筛展示,这里都遍历当日**全部**信息流记录维持 granted_units 累加;scene 只决定
+    哪些行被**留下展示**(由 _feed_scene_matches 判断),不影响累计基线,保证复算序号与正式发奖一致。
+    """
     stmt = (
         select(AdFeedRewardRecord)
         .where(AdFeedRewardRecord.reward_date == date)
@@ -142,18 +162,23 @@ def _feed_rows(db: Session, *, date: str, user_id: int | None) -> list[dict]:
     granted_units: dict[int, int] = _feed_prior_granted_units(db, date=date, user_id=user_id)
     rows: list[dict] = []
     for rec in db.execute(stmt).scalars():
+        keep = _feed_scene_matches(rec, scene)  # 累计照常推进,这里只决定是否展示本行
         if rec.status == "granted":
             existing = granted_units.get(rec.user_id, 0)
             units = rec.unit_count
+            granted_units[rec.user_id] = existing + units
+            if not keep:
+                continue
             expected = sum(
                 rewards.calculate_ad_reward_coin(rec.ecpm_raw, existing + offset)
                 for offset in range(1, units + 1)
             )
-            granted_units[rec.user_id] = existing + units
             start = existing + 1 if units > 0 else None
             end = existing + units if units > 0 else None
             rows.append({
                 "scene": "feed",
+                "ad_type": rec.ad_type or "feed",
+                "feed_scene": rec.feed_scene,
                 "record_id": rec.id,
                 "user_id": rec.user_id,
                 "ad_session_id": rec.ad_session_id,
@@ -173,8 +198,12 @@ def _feed_rows(db: Session, *, date: str, user_id: int | None) -> list[dict]:
                 "matched": expected == rec.coin,
             })
         else:
+            if not keep:
+                continue
             rows.append({
                 "scene": "feed",
+                "ad_type": rec.ad_type or "feed",
+                "feed_scene": rec.feed_scene,
                 "record_id": rec.id,
                 "user_id": rec.user_id,
                 "ad_session_id": rec.ad_session_id,
@@ -199,16 +228,19 @@ def _feed_rows(db: Session, *, date: str, user_id: int | None) -> list[dict]:
 def audit_rows(
     db: Session, *, date: str, user_id: int | None, scene: str | None = None
 ) -> list[dict]:
-    """当日逐条发奖复算行(未排序)。scene: None=两类 / "reward_video" / "feed"。
+    """当日逐条发奖复算行(未排序)。scene: None=两类 / "reward_video" / "feed" / "draw"。
 
+    "feed" 与 "draw" 都查 ad_feed_reward_record(同一发奖表),按 ad_type 区分:feed 含历史 NULL,
+    draw 仅 ad_type=="draw"。信息流行额外带 `ad_type`/`feed_scene`,供收益报表区分比价/领券 Draw 收益。
     每行含 `app_env`/`our_code_id`/`expected_coin`/`actual_coin` 等,供金币审计逐条对账,
     也供广告收益报表把「应发/实发」按 用户×类型×应用×代码位 聚合(见 ad_revenue,复用同一复算口径)。
+    **LT 因子账号累计仍按全表 unit 累计(feed+draw 共享),scene 只筛展示,不拆累计。**
     """
     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"):
-        rows.extend(_feed_rows(db, date=date, user_id=user_id))
+    if scene in (None, "feed", "draw"):
+        rows.extend(_feed_rows(db, date=date, user_id=user_id, scene=scene))
     return rows
 
 

app/admin/repositories/ad_revenue.py

@@ -11,12 +11,17 @@
 (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,
 不受 limit(只截断 items)影响。
 
-⚠️ 局限:① 历史 Draw 发奖混在 ad_feed_reward_record 无类型标记,金币侧统一记 feed。
-② 跨天 S2S 回调:同一次广告的展示与发奖偶尔落相邻日,各自按 report_date / reward_date 归日。
+每行带 ad_type(reward_video/feed/draw)与 feed_scene(comparison/coupon/welfare),供前端区分
+「比价 Draw 收益」与「领券 Draw 收益」(比价/领券共用同一代码位,只能靠 feed_scene 分)。
+
+⚠️ 局限:① 历史信息流/Draw 发奖 ad_type 为 NULL 的旧记录统一视为 feed(向后兼容);Draw 仅
+ad_type=="draw" 的新记录单独成类。② 跨天 S2S 回调:同一次广告的展示与发奖偶尔落相邻日,各自按
+report_date / reward_date 归日。
 """
 from __future__ import annotations
 
-from datetime import date as _date, datetime, timedelta, timezone
+from datetime import UTC, datetime, timedelta
+from datetime import date as _date
 
 from sqlalchemy import select
 from sqlalchemy.orm import Session
@@ -30,7 +35,7 @@ from app.models.user import User
 def _cn_hour(dt: datetime) -> int:
     """created_at(UTC 口径)→ 北京时间小时(0–23)。naive 当 UTC 处理(sqlite),tz-aware 直接换算(pg)。"""
     if dt.tzinfo is None:
-        dt = dt.replace(tzinfo=timezone.utc)
+        dt = dt.replace(tzinfo=UTC)
     return dt.astimezone(rewards.CN_TZ).hour
 
 
@@ -46,8 +51,18 @@ def _date_range(date_from: str, date_to: str) -> list[str]:
     return out
 
 
-# 审计行的 scene 与报表 ad_type 一一对应
-_SCENE_TO_AD_TYPE = {"reward_video": "reward_video", "feed": "feed"}
+# 报表 ad_type 与审计 scene 取值一致(reward_video / feed / draw):feed 与 draw 同查发奖表
+# ad_feed_reward_record,由 audit 内部按 ad_type 区分(feed 含历史 NULL,draw 仅 ad_type=="draw")。
+_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 = (
@@ -84,7 +99,9 @@ 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] = []
-    audit_scene = _SCENE_TO_AD_TYPE.get(ad_type) if ad_type is not None else None
+    # 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
     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):
@@ -123,6 +140,7 @@ def ad_revenue_report(
             "report_date": rec.report_date,
             "user_id": rec.user_id,
             "ad_type": rec.ad_type,
+            "feed_scene": rec.feed_scene,
             "app_env": rec.app_env,
             "our_code_id": rec.our_code_id,
             "created_at": rec.created_at,
@@ -162,7 +180,8 @@ def ad_revenue_report(
             "event_key": f"rwd-{row['record_id']}",
             "report_date": row["_report_date"],
             "user_id": row["user_id"],
-            "ad_type": _SCENE_TO_AD_TYPE.get(row["scene"], row["scene"]),
+            "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"],

app/admin/repositories/queries.py

@@ -15,6 +15,7 @@ from app.core import rewards
 from app.models.ad_feed_reward import AdFeedRewardRecord
 from app.models.ad_reward import AdRewardRecord
 from app.models.admin import AdminAuditLog
+from app.models.analytics_event import AnalyticsEvent
 from app.models.comparison import ComparisonRecord
 from app.models.feedback import Feedback
 from app.models.onboarding import OnboardingCompletion
@@ -412,6 +413,44 @@ def list_feedbacks(
     return offset_paginate(db, stmt, (order_fn(sort_col), id_order), limit=limit, cursor=cursor)
 
 
+def list_analytics_events(
+    db: Session,
+    *,
+    event: str | None = None,
+    device_id: str | None = None,
+    user_id: int | None = None,
+    session_id: str | None = None,
+    created_from: datetime | None = None,
+    created_to: datetime | None = None,
+    sort_by: str = "id",
+    sort_order: str = "desc",
+    limit: int = 20,
+    cursor: int | None = None,
+) -> tuple[list[AnalyticsEvent], int | None, int]:
+    """埋点日志列表(admin 全量)。按 事件名 / 设备ID前缀 / 用户ID / 会话ID / 接收时间范围 筛选,
+    按 id·接收时间排序。offset 分页(同 [list_feedbacks])。created_at 为 timestamptz,
+    日期入参统一转 tz-aware UTC 比较。"""
+    stmt = select(AnalyticsEvent)
+    if event:
+        stmt = stmt.where(AnalyticsEvent.event == event)
+    if device_id and device_id.strip():
+        stmt = stmt.where(AnalyticsEvent.device_id.like(f"{device_id.strip()}%"))
+    if user_id is not None:
+        stmt = stmt.where(AnalyticsEvent.user_id == user_id)
+    if session_id and session_id.strip():
+        stmt = stmt.where(AnalyticsEvent.session_id == session_id.strip())
+    if created_from is not None:
+        stmt = stmt.where(AnalyticsEvent.created_at >= _as_utc(created_from))
+    if created_to is not None:
+        stmt = stmt.where(AnalyticsEvent.created_at <= _as_utc(created_to))
+
+    sort_cols = {"id": AnalyticsEvent.id, "created_at": AnalyticsEvent.created_at}
+    sort_col = sort_cols.get(sort_by, AnalyticsEvent.id)
+    order_fn = asc if sort_order == "asc" else desc
+    id_order = asc(AnalyticsEvent.id) if sort_order == "asc" else desc(AnalyticsEvent.id)
+    return offset_paginate(db, stmt, (order_fn(sort_col), id_order), limit=limit, cursor=cursor)
+
+
 def get_withdraw_by_out_bill_no(db: Session, out_bill_no: str) -> WithdrawOrder | None:
     """按商户单号查提现单(admin 重试打款先拿 user_id 用,M3)。"""
     return db.execute(

app/admin/routers/ad_audit.py

@@ -26,7 +26,7 @@ def get_ad_coin_audit(
     date: Annotated[str | None, Query(description="北京时间 YYYY-MM-DD,默认今天")] = None,
     user_id: Annotated[int | None, Query(description="只看某用户;不传=全部用户")] = None,
     scene: Annotated[
-        str | None, Query(description="reward_video / feed;不传=两类都要")
+        str | None, Query(description="reward_video / feed / draw;不传=全部")
     ] = None,
     limit: Annotated[int, Query(ge=1, le=500)] = 100,
     only_mismatch: Annotated[

app/admin/routers/event_logs.py

@@ -0,0 +1,52 @@
+"""admin 埋点日志:列表 + 按事件 / 设备 / 用户 / 会话 / 时间筛选(只读,同库直接查 analytics_event)。"""
+from __future__ import annotations
+
+from datetime import datetime
+from typing import Annotated
+
+from fastapi import APIRouter, Depends, Query
+
+from app.admin.deps import AdminDb, get_current_admin
+from app.admin.repositories import queries
+from app.admin.schemas.analytics import AnalyticsEventOut
+from app.admin.schemas.common import CursorPage
+
+router = APIRouter(
+    prefix="/admin/api/event-logs",
+    tags=["admin-event-logs"],
+    dependencies=[Depends(get_current_admin)],
+)
+
+
+@router.get("", response_model=CursorPage[AnalyticsEventOut], summary="埋点日志列表")
+def list_event_logs(
+    db: AdminDb,
+    event: Annotated[str | None, Query(max_length=64)] = None,
+    device_id: Annotated[str | None, Query(max_length=64)] = None,
+    user_id: Annotated[int | None, Query()] = None,
+    session_id: Annotated[str | None, Query(max_length=64)] = None,
+    created_from: Annotated[datetime | None, Query()] = None,
+    created_to: Annotated[datetime | None, Query()] = None,
+    sort_by: Annotated[str, Query(pattern="^(id|created_at)$")] = "id",
+    sort_order: Annotated[str, Query(pattern="^(asc|desc)$")] = "desc",
+    limit: Annotated[int, Query(ge=1, le=100)] = 20,
+    cursor: Annotated[int | None, Query()] = None,
+) -> CursorPage[AnalyticsEventOut]:
+    items, next_cursor, total = queries.list_analytics_events(
+        db,
+        event=event,
+        device_id=device_id,
+        user_id=user_id,
+        session_id=session_id,
+        created_from=created_from,
+        created_to=created_to,
+        sort_by=sort_by,
+        sort_order=sort_order,
+        limit=limit,
+        cursor=cursor,
+    )
+    return CursorPage(
+        items=[AnalyticsEventOut.model_validate(e) for e in items],
+        next_cursor=next_cursor,
+        total=total,
+    )

app/admin/schemas/ad_config.py

@@ -9,8 +9,8 @@ class AdConfigOut(BaseModel):
 
     app_id: str
     reward_code_id: str
-    compare_feed_code_id: str
-    coupon_feed_code_id: str
+    compare_draw_code_id: str
+    coupon_draw_code_id: str
     reward_mkey: str
     reward_enabled: bool
     compare_ad_enabled: bool
@@ -23,8 +23,8 @@ class AdConfigUpdate(BaseModel):
 
     app_id: str | None = None
     reward_code_id: str | None = None
-    compare_feed_code_id: str | None = None
-    coupon_feed_code_id: str | None = None
+    compare_draw_code_id: str | None = None
+    coupon_draw_code_id: str | None = None
     reward_mkey: str | None = None
     reward_enabled: bool | None = None
     compare_ad_enabled: bool | None = None

app/admin/schemas/ad_revenue.py

@@ -56,7 +56,12 @@ class AdRevenueRow(BaseModel):
     report_date: str = Field(..., description="该事件所属日期(北京时间 YYYY-MM-DD)")
     user_id: int
     user_phone: str | None = Field(None, description="用户手机号(admin 展示用,完整;用户已删 / 查不到为空)")
-    ad_type: str = Field(..., description="reward_video(激励视频) / feed(信息流) / draw(历史 Draw 信息流)")
+    ad_type: str = Field(..., description="reward_video(激励视频) / feed(信息流) / draw(Draw 信息流);历史 NULL 视为 feed")
+    feed_scene: str | None = Field(
+        None,
+        description="点位场景:comparison(比价) / coupon(领券) / welfare(福利);供区分比价/领券 Draw 收益;"
+        "激励视频与旧数据为空",
+    )
     app_env: str | None = Field(None, description="我们的应用:prod(傻瓜比价正式) / test(测试应用);旧数据为空")
     our_code_id: str | None = Field(None, description="我们后台配置的代码位 ID(104xxx);旧数据为空")
     hour: int | None = Field(None, description="北京时间小时 0–23(granularity=hour 时有值;按天为 null)")

app/admin/schemas/analytics.py

@@ -0,0 +1,33 @@
+"""admin 埋点日志列表响应。"""
+from __future__ import annotations
+
+from datetime import datetime
+
+from pydantic import BaseModel, ConfigDict
+
+
+class AnalyticsEventOut(BaseModel):
+    model_config = ConfigDict(from_attributes=True)
+
+    id: int
+    event: str
+    # Who
+    device_id: str
+    user_id: int | None
+    # When
+    session_id: str | None
+    client_ts: int
+    sent_at: int | None
+    created_at: datetime  # 服务端接收时间(server_at)
+    # Where
+    page: str | None
+    client_ip: str | None
+    # How
+    oem: str | None
+    os: str | None
+    model: str | None
+    app_ver: str | None
+    network: str | None
+    channel: str | None
+    # What 专属
+    props: dict | None

app/api/v1/ad.py

@@ -9,8 +9,8 @@
 """
 from __future__ import annotations
 
-import logging
 import json
+import logging
 import uuid
 
 from fastapi import APIRouter, Depends, HTTPException, Request, status
@@ -18,8 +18,8 @@ from fastapi import APIRouter, Depends, HTTPException, Request, status
 from app.api.deps import CurrentUser, DbSession
 from app.core import rewards
 from app.core.config import settings
-from app.integrations import pangle
 from app.core.ratelimit import rate_limit
+from app.integrations import pangle
 from app.repositories import ad_ecpm as crud_ecpm
 from app.repositories import ad_feed_reward as crud_feed
 from app.repositories import ad_reward as crud_ad
@@ -120,6 +120,21 @@ def pangle_callback(request: Request, db: DbSession) -> PangleCallbackOut:
     ad_session_id = extra.get("ad_session_id")
     ecpm = params.get("ecpm")
 
+    # 环境隔离:激励视频 mediaExtra 里带「这次观看属于哪个后端环境」(srv_env=dev/prod,客户端按
+    # BuildConfig.DEBUG 决定),穿山甲 S2S 回调原样带回。回调 URL 在穿山甲后台只配一个(指向生产),
+    # 所以测试包(dev)看广告的 S2S 也会打到生产——若不拦,生产会把奖发给「本库里同 user_id 的另一个
+    # 真人」(user_id 是跨库不隔离的裸数字 → 跨库串号)。这里只处理「属于本服环境」的回调:环境不符
+    # 直接受理但不发币、不写任何记录,保证各环境后台广告收益页只含本环境用户。is_verify=true 让穿山甲
+    # 不再重试(测试用户的币由 localhost 的 test-grant 单独发,不依赖这条 S2S)。
+    # 兼容:旧客户端不带 srv_env(取不到)→ 视为本环境,照常处理,不误伤存量正式用户。
+    callback_env = extra.get("srv_env")
+    if callback_env and callback_env != settings.APP_ENV:
+        logger.info(
+            "pangle callback foreign env skip: callback_env=%s self_env=%s user_id=%d trans_id=%s",
+            callback_env, settings.APP_ENV, user_id, trans_id,
+        )
+        return PangleCallbackOut(is_verify=True, reason=REASON_OK)
+
     existing = crud_ad.find_by_trans(db, trans_id)
     if existing is not None:
         logger.info(
@@ -270,12 +285,13 @@ def ecpm_report(payload: EcpmReportIn, user: CurrentUser, db: DbSession) -> Ecpm
         ad_type=payload.ad_type, ecpm_raw=payload.ecpm,
         ad_session_id=payload.ad_session_id,
         adn=payload.adn, slot_id=payload.slot_id,
+        feed_scene=payload.feed_scene,
         app_env=payload.app_env, our_code_id=payload.our_code_id,
     )
     logger.info(
-        "ad ecpm report user_id=%d type=%s session=%s ecpm=%s adn=%s slot=%s app=%s code=%s",
-        user.id, payload.ad_type, payload.ad_session_id, payload.ecpm, payload.adn, payload.slot_id,
-        payload.app_env, payload.our_code_id,
+        "ad ecpm report user_id=%d type=%s scene=%s session=%s ecpm=%s adn=%s slot=%s app=%s code=%s",
+        user.id, payload.ad_type, payload.feed_scene, payload.ad_session_id, payload.ecpm,
+        payload.adn, payload.slot_id, payload.app_env, payload.our_code_id,
     )
     return EcpmReportOut(ok=True)
 
@@ -386,6 +402,7 @@ def feed_reward(payload: FeedRewardIn, user: CurrentUser, db: DbSession) -> Feed
         client_event_id=payload.client_event_id,
         ecpm=payload.ecpm,
         duration_seconds=payload.duration_seconds,
+        ad_type=payload.ad_type,
         ad_session_id=payload.ad_session_id,
         adn=payload.adn,
         slot_id=payload.slot_id,

app/api/v1/analytics.py

@@ -0,0 +1,31 @@
+"""客户端埋点上报接口。
+
+POST /api/v1/analytics/events — 批量接收新手引导(及后续)埋点,append 落 analytics_event 表。
+**不强制登录**(未登录态也要采集行为):user_id 由客户端在 body 里可选带上,不靠 Bearer。
+服务端补 client_ip(X-Forwarded-For)与 created_at(接收时间 = server_at)。
+"""
+from __future__ import annotations
+
+from fastapi import APIRouter, Request
+
+from app.api.deps import DbSession
+from app.repositories import analytics as analytics_repo
+from app.schemas.analytics import AnalyticsBatchIn, AnalyticsIngestOut
+
+router = APIRouter(prefix="/api/v1/analytics", tags=["analytics"])
+
+
+def _client_ip(request: Request) -> str:
+    """取客户端 IP:生产经 nginx 反代优先 X-Forwarded-For 第一段,否则直连 IP(同 admin get_client_ip)。"""
+    xff = request.headers.get("x-forwarded-for")
+    if xff:
+        return xff.split(",")[0].strip()
+    return request.client.host if request.client else ""
+
+
+@router.post("/events", response_model=AnalyticsIngestOut, summary="批量上报埋点事件")
+def ingest_events(
+    batch: AnalyticsBatchIn, request: Request, db: DbSession
+) -> AnalyticsIngestOut:
+    n = analytics_repo.record_batch(db, batch, client_ip=_client_ip(request))
+    return AnalyticsIngestOut(received=n)

app/api/v1/auth.py

@@ -12,11 +12,11 @@ from __future__ import annotations
 
 import logging
 
-from fastapi import APIRouter, Depends, HTTPException, status
+from fastapi import APIRouter, Depends, HTTPException, Request, status
 
 from app.api.deps import CurrentUser, DbSession
 from app.core import test_account
-from app.core.ratelimit import rate_limit
+from app.core.ratelimit import enforce_rate_limit, rate_limit
 from app.core.security import TokenError, decode_token, issue_token_pair
 from app.integrations.jiguang import JiguangError, mask_phone, verify_and_get_phone
 from app.integrations.sms import SmsError, send_code, verify_code
@@ -38,6 +38,12 @@ logger = logging.getLogger("shagua.auth")
 
 router = APIRouter(prefix="/api/v1/auth", tags=["auth"])
 
+# 手机号登录防刷:同一设备(device_id) + 同一 IP 每小时最多的登录尝试次数(成功/失败都计)。
+SMS_LOGIN_MAX_PER_HOUR = 5
+# 发码防刷:同一设备(device_id) + 同一 IP 每小时最多的发码次数。
+# 堵「换手机号绕开单号 60s 冷却 / 单号每日上限」的洞 —— 那两道是单号维度,一机换号能绕开。
+SMS_SEND_MAX_PER_HOUR_PER_DEVICE = 5
+
 
 def _login_response(
     user, *, onboarding_completed: bool, force_onboarding: bool = False
@@ -84,15 +90,27 @@ def jverify_login(req: JverifyLoginRequest, db: DbSession) -> TokenWithUser:
     "/sms/send",
     response_model=SmsSendResponse,
     summary="发送短信验证码",
-    dependencies=[Depends(rate_limit(10, 60, "sms-send"))],  # 同 IP 每分钟≤10 次(防一 IP 刷不同号)
 )
-def sms_send(req: SmsSendRequest) -> SmsSendResponse:
+def sms_send(req: SmsSendRequest, request: Request) -> SmsSendResponse:
     # 测试账号:不真发短信(号码非真实手机号,真发会失败/浪费),直接放行让客户端进入填码界面。
     # 真正的"免验证码"在 /sms/login 跳过校验;每日上限也在 login 处算(send 不耗额度)。
+    # (也不受下面设备发码限流约束:QA 联调要反复发码。)
     if test_account.is_test_account(req.phone):
         logger.info("test_account sms_send short-circuit (不真发)")
         return SmsSendResponse(sent=True, mock=True, cooldown_sec=0)
 
+    # 防刷:同一设备(device_id) + 同一 IP 每小时最多 SMS_SEND_MAX_PER_HOUR_PER_DEVICE 次发码。
+    # 补「换手机号绕开单号 60s 冷却 / 单号每日上限」的洞(那两道是单号维度,一机换号能绕);设备维度按机器封顶,
+    # 挡短信轰炸/烧钱。放在真发(send_code)之前 → 超限直接拦下、不真发短信。与路由上 IP 维度(10次/分钟)互补。
+    enforce_rate_limit(
+        request,
+        scope="sms-send-device",
+        subject=req.device_id,
+        limit=SMS_SEND_MAX_PER_HOUR_PER_DEVICE,
+        window_sec=3600,
+        detail="操作过于频繁,请稍后再试",
+    )
+
     try:
         cooldown = send_code(req.phone)
     except SmsError as e:
@@ -109,9 +127,10 @@ def sms_send(req: SmsSendRequest) -> SmsSendResponse:
     summary="手机号+验证码登录",
     dependencies=[Depends(rate_limit(20, 60, "sms-login"))],  # 防撞库爆破(另有单码失败次数上限)
 )
-def sms_login(req: SmsLoginRequest, db: DbSession) -> TokenWithUser:
+def sms_login(req: SmsLoginRequest, request: Request, db: DbSession) -> TokenWithUser:
     # 测试账号:免验证码登录 + 每日上限 + 每次都走新手引导(详见 app/core/test_account.py)。
     # 放在最前面:命中即不校验验证码;先扣当日额度,超限直接拒,挡住有人猜到号后脚本刷。
+    # 测试账号走自己的每日额度、不受下面 (设备+IP) 每小时限流约束(QA 需在一小时内反复登录联调)。
     if test_account.is_test_account(req.phone):
         if not test_account.try_consume_quota():
             raise HTTPException(status_code=429, detail="测试账号今日使用次数已达上限,请明天再试")
@@ -123,6 +142,19 @@ def sms_login(req: SmsLoginRequest, db: DbSession) -> TokenWithUser:
         # 不读/不写 onboarding_completion 表。
         return _login_response(user, onboarding_completed=False, force_onboarding=True)
 
+    # 防刷:同一设备(device_id) + 同一 IP 每小时最多 SMS_LOGIN_MAX_PER_HOUR 次登录尝试。放在验证码校验
+    # **之前** → 输错验证码的失败尝试也计数,才挡得住撞库/爆破。与路由上 IP 维度的 sms-login 限流(同 IP)互补。
+    # ⚠️ 按设备而非手机号 → 一台机器换不同手机号刷登录也受限(防一机狂登多号);device_id 空(老客户端)时
+    #    退化为该 IP 下所有空设备聚一桶,仍受限。
+    enforce_rate_limit(
+        request,
+        scope="sms-login-device",
+        subject=req.device_id,
+        limit=SMS_LOGIN_MAX_PER_HOUR,
+        window_sec=3600,
+        detail="登录尝试过于频繁,请稍后再试",
+    )
+
     if not verify_code(req.phone, req.code):
         raise HTTPException(status_code=400, detail="invalid sms code")
 

app/api/v1/platform.py

@@ -63,8 +63,8 @@ def ad_config(db: DbSession) -> AdConfigPublicOut:
     return AdConfigPublicOut(
         app_id=c["app_id"],
         reward_code_id=c["reward_code_id"],
-        compare_feed_code_id=c["compare_feed_code_id"],
-        coupon_feed_code_id=c["coupon_feed_code_id"],
+        compare_draw_code_id=c["compare_draw_code_id"],
+        coupon_draw_code_id=c["coupon_draw_code_id"],
         reward_enabled=c["reward_enabled"],
         compare_ad_enabled=c["compare_ad_enabled"],
         coupon_ad_enabled=c["coupon_ad_enabled"],

app/core/ratelimit.py

@@ -57,3 +57,29 @@ def rate_limit(limit: int, window_sec: float, scope: str):
             )
 
     return _dep
+
+
+def enforce_rate_limit(
+    request: Request,
+    scope: str,
+    subject: str,
+    limit: int,
+    window_sec: float,
+    *,
+    detail: str = "操作过于频繁,请稍后再试",
+) -> None:
+    """在路由内部手动限流,按 (subject, 客户端 IP) 计数。
+
+    用于限流 key 需要请求体字段(如手机号)、Depends 阶段还拿不到 body 时
+    —— 此时无法用 [rate_limit] 依赖,改在 handler 解析完 body 后调用本函数。
+    key = `scope:subject:client_ip`;同一 (subject, IP) 在 window_sec 内超过 limit 次 → 抛 429。
+    受 [settings.RATE_LIMIT_ENABLED] 总开关控制(与 [rate_limit] 一致)。
+    """
+    if not settings.RATE_LIMIT_ENABLED:
+        return
+    key = f"{scope}:{subject}:{_client_ip(request)}"
+    if not _hit(key, limit, window_sec):
+        raise HTTPException(
+            status_code=status.HTTP_429_TOO_MANY_REQUESTS,
+            detail=detail,
+        )

app/integrations/sms.py

@@ -14,7 +14,9 @@ worker / 多机时内存不共享 → 冷却、每日上限、校验都会失效
 防刷三层(短信花钱 + `/sms/send` 在登录前无法 JWT 鉴权):
   1. 单号 `SMS_SEND_INTERVAL_SEC` 冷却(本文件)
   2. 单号每日 `SMS_DAILY_LIMIT_PER_PHONE` 条上限(本文件)
-  3. 单 IP 频控(api 层 rate_limit 依赖)+ 极光控制台 IP 白名单/防轰炸(运维侧)
+  3. 单设备(device_id)每小时频控(api 层 auth.sms_send 内 enforce_rate_limit)+ 极光控制台 IP 白名单/防轰炸(运维侧)。
+     ⚠️ 原「单 IP 频控(rate_limit 依赖)」2026-06-26 按产品要求删除、改设备维度;但 device_id 客户端可伪造/轮换,
+        脚本轮换 id 能绕过本层 → 挡脚本狂发主要靠极光控制台侧(+ 可选 nginx 限流)。
 另:单码校验失败 `SMS_MAX_VERIFY_ATTEMPTS` 次即作废(防爆破),验过即作废(一次性)。
 """
 from __future__ import annotations

app/main.py

@@ -15,6 +15,7 @@ from fastapi.middleware.cors import CORSMiddleware
 from fastapi.staticfiles import StaticFiles
 
 from app.api.v1.ad import router as ad_router
+from app.api.v1.analytics import router as analytics_router
 from app.api.v1.auth import router as auth_router
 from app.api.v1.compare import router as compare_router
 from app.api.v1.compare_milestone import router as compare_milestone_router
@@ -105,6 +106,7 @@ def health() -> dict[str, str]:
 app.include_router(auth_router)
 app.include_router(user_router)
 app.include_router(feedback_router)
+app.include_router(analytics_router)
 app.include_router(invite_router)
 app.include_router(coupon_router)
 app.include_router(device_router)

app/models/__init__.py

@@ -4,6 +4,7 @@ from app.models.ad_feed_reward import AdFeedRewardRecord  # noqa: F401
 from app.models.ad_reward import AdRewardRecord  # noqa: F401
 from app.models.ad_watch_log import AdWatchLog  # noqa: F401
 from app.models.admin import AdminAuditLog, AdminUser  # noqa: F401
+from app.models.analytics_event import AnalyticsEvent  # noqa: F401
 from app.models.app_config import AppConfig  # noqa: F401
 from app.models.comparison import ComparisonRecord  # noqa: F401
 from app.models.cps_activity import CpsActivity  # noqa: F401

app/models/ad_ecpm.py

@@ -29,6 +29,9 @@ class AdEcpmRecord(Base):
     )
     # 广告类型:reward_video(激励视频) / draw(Draw 信息流) 等;不强行统一代码位,各类型各自上报
     ad_type: Mapped[str] = mapped_column(String(32), nullable=False)
+    # 点位场景:comparison(比价) / coupon(领券) / welfare(福利),供收益报表区分比价/领券 Draw 收益;
+    # 仅信息流/Draw 上报(比价与领券共用同一代码位,只能客户端各调用点显式打标),激励视频为 NULL。
+    feed_scene: Mapped[str | None] = mapped_column(String(16), nullable=True)
     # 客户端生成的一次广告会话 id;激励视频 S2S 回调 extra 会透传同值
     ad_session_id: Mapped[str | None] = mapped_column(String(64), index=True, nullable=True)
     # 实际投放的 ADN(穿山甲 getShowEcpm().getSdkName(),如 pangle / gdt)

app/models/ad_feed_reward.py

@@ -30,6 +30,9 @@ class AdFeedRewardRecord(Base):
     ecpm_raw: Mapped[str] = mapped_column(String(32), nullable=False)
     adn: Mapped[str | None] = mapped_column(String(32), nullable=True)
     slot_id: Mapped[str | None] = mapped_column(String(64), nullable=True)
+    # 广告类型:feed(信息流) / draw(Draw 信息流)。比价与领券共用同一 Draw 代码位,靠 feed_scene
+    # 区分收益;ad_type 区分广告形态。旧数据(未升级客户端)为 NULL,一律视为 feed,保持向后兼容。
+    ad_type: Mapped[str | None] = mapped_column(String(16), nullable=True, default="feed")
     # 点位场景:comparison(比价等待) / coupon(领券) / welfare(福利页)。比价与领券共用同一信息流
     # 代码位,slot_id/our_code_id 分不出,只能客户端各调用点显式打标;NULL=历史/未升级客户端=未分类。
     feed_scene: Mapped[str | None] = mapped_column(String(16), nullable=True)

app/models/analytics_event.py

@@ -0,0 +1,60 @@
+"""新手引导(及后续)埋点事件表。
+
+每行 = 客户端上报的一条行为埋点,按「Who / When / Where / What / How」五维组织:
+- What :event(事件名,如 video_play)+ props(事件专属属性,JSON)
+- Who  :device_id(硬件级设备标识)+ user_id(登录后才有,可空)
+- When :client_ts(端事件时间 epoch ms)+ session_id(本次引导会话)+ sent_at(端上报时间)
+         + created_at(服务端接收时间 = server_at)
+- Where:page(引导步/页面)+ client_ip(服务端从 X-Forwarded-For 取)
+- How  :oem / os / model / app_ver / network / channel(设备与环境)
+
+append-only,不更新;客户端批量上报(见 app/api/v1/analytics.py),admin 同库直接查(见
+app/admin/routers/event_logs.py)。未登录态也允许上报(user_id 为空),故 user_id 不设外键、只索引。
+"""
+from __future__ import annotations
+
+from datetime import datetime
+
+from sqlalchemy import JSON, BigInteger, DateTime, Integer, String, func
+from sqlalchemy.orm import Mapped, mapped_column
+
+from app.db.base import Base
+
+
+class AnalyticsEvent(Base):
+    __tablename__ = "analytics_event"
+
+    id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
+
+    # ---- What:做了什么 ----
+    event: Mapped[str] = mapped_column(String(64), index=True, nullable=False)
+    props: Mapped[dict | None] = mapped_column(JSON, nullable=True)
+
+    # ---- Who:谁 ----
+    device_id: Mapped[str] = mapped_column(String(64), index=True, nullable=False)
+    user_id: Mapped[int | None] = mapped_column(Integer, index=True, nullable=True)
+
+    # ---- When:何时 ----
+    session_id: Mapped[str | None] = mapped_column(String(64), index=True, nullable=True)
+    client_ts: Mapped[int] = mapped_column(BigInteger, nullable=False)  # 端事件时间 epoch ms
+    sent_at: Mapped[int | None] = mapped_column(BigInteger, nullable=True)  # 端上报时间 epoch ms
+
+    # ---- Where:何地 ----
+    page: Mapped[str | None] = mapped_column(String(64), nullable=True)
+    client_ip: Mapped[str | None] = mapped_column(String(64), nullable=True)
+
+    # ---- How:用什么环境 ----
+    oem: Mapped[str | None] = mapped_column(String(32), nullable=True)
+    os: Mapped[str | None] = mapped_column(String(32), nullable=True)
+    model: Mapped[str | None] = mapped_column(String(64), nullable=True)
+    app_ver: Mapped[str | None] = mapped_column(String(32), nullable=True)
+    network: Mapped[str | None] = mapped_column(String(16), nullable=True)
+    channel: Mapped[str | None] = mapped_column(String(32), nullable=True)
+
+    # 服务端接收时间(= When.server_at);客户端时间不可信,以此为权威落库时刻。
+    created_at: Mapped[datetime] = mapped_column(
+        DateTime(timezone=True), server_default=func.now(), index=True, nullable=False
+    )
+
+    def __repr__(self) -> str:  # pragma: no cover
+        return f"<AnalyticsEvent id={self.id} event={self.event} device={self.device_id}>"

app/repositories/ad_ecpm.py

@@ -23,6 +23,7 @@ def create_ecpm_record(
     ad_session_id: str | None = None,
     adn: str | None = None,
     slot_id: str | None = None,
+    feed_scene: str | None = None,
     app_env: str | None = None,
     our_code_id: str | None = None,
 ) -> AdEcpmRecord:
@@ -41,6 +42,7 @@ def create_ecpm_record(
         ad_session_id=ad_session_id,
         adn=adn,
         slot_id=slot_id,
+        feed_scene=feed_scene,
         app_env=app_env,
         our_code_id=our_code_id,
         ecpm_raw=ecpm_raw,

app/repositories/ad_feed_reward.py

@@ -14,7 +14,6 @@ from app.core.rewards import cn_today
 from app.models.ad_feed_reward import AdFeedRewardRecord
 from app.repositories import wallet as crud_wallet
 
-
 FEED_REWARD_UNIT_SECONDS = 10
 # 单个 feed 事件的时长上限(秒):一期 duration_seconds 由客户端上报,伪造超长时长会刷份数
 # (每 10 秒 1 份)。真实单条信息流视频远小于此;取 120s=12 份封顶,挡刷量、不影响正规单。
@@ -65,6 +64,7 @@ def grant_feed_reward(
     client_event_id: str,
     ecpm: str,
     duration_seconds: int,
+    ad_type: str = "feed",
     ad_session_id: str | None = None,
     adn: str | None = None,
     slot_id: str | None = None,
@@ -84,6 +84,8 @@ def grant_feed_reward(
     duration_seconds 是**这一条**的观看秒数。服务端两道硬闸防刷:时长钳到 FEED_MAX_DURATION_SECONDS、
     eCPM 在 calculate_ad_reward_coin 内钳到 AD_ECPM_MAX_FEN;叠加每日 get_ad_daily_limit 条数上限。
     feed_scene:点位场景(comparison/coupon/welfare),仅归类落库,不参与计算。
+    ad_type:广告形态(feed 信息流 / draw Draw 信息流),仅归类落库;**每日上限与因子2(LT)仍按本表
+    全表 unit 累计(feed+draw 共享同一发奖池/上限),不按 ad_type 拆分**。
     """
     existing = _find_by_event(db, client_event_id)
     if existing is not None:
@@ -106,6 +108,7 @@ def grant_feed_reward(
             ecpm_raw=ecpm,
             adn=adn,
             slot_id=slot_id,
+            ad_type=ad_type,
             feed_scene=feed_scene,
             trace_id=trace_id,
             app_env=app_env,
@@ -126,6 +129,7 @@ def grant_feed_reward(
             ecpm_raw=ecpm,
             adn=adn,
             slot_id=slot_id,
+            ad_type=ad_type,
             feed_scene=feed_scene,
             trace_id=trace_id,
             app_env=app_env,
@@ -147,6 +151,7 @@ def grant_feed_reward(
             ecpm_raw=ecpm,
             adn=adn,
             slot_id=slot_id,
+            ad_type=ad_type,
             feed_scene=feed_scene,
             trace_id=trace_id,
             app_env=app_env,

app/repositories/analytics.py

@@ -0,0 +1,34 @@
+"""埋点事件批量落库。append-only,一次 commit 提交整批。"""
+from __future__ import annotations
+
+from sqlalchemy.orm import Session
+
+from app.models.analytics_event import AnalyticsEvent
+from app.schemas.analytics import AnalyticsBatchIn
+
+
+def record_batch(db: Session, batch: AnalyticsBatchIn, *, client_ip: str | None) -> int:
+    """把一批上报事件展开成多行落库(公共维度复制到每行),返回写入条数。"""
+    rows = [
+        AnalyticsEvent(
+            event=e.event,
+            props=e.props or None,
+            device_id=batch.device_id,
+            user_id=batch.user_id,
+            session_id=e.session_id,
+            client_ts=e.client_ts,
+            sent_at=batch.sent_at,
+            page=e.page,
+            client_ip=client_ip or None,
+            oem=batch.oem,
+            os=batch.os,
+            model=batch.model,
+            app_ver=batch.app_ver,
+            network=e.network,
+            channel=batch.channel,
+        )
+        for e in batch.events
+    ]
+    db.add_all(rows)
+    db.commit()
+    return len(rows)

app/repositories/app_config.py

@@ -101,10 +101,10 @@ AD_CONFIG_KEY = "ad_config"
 _AD_CONFIG_DEFAULTS: dict[str, Any] = {
     "app_id": "5830519",                  # 穿山甲应用ID(正式)
     "reward_code_id": "104099389",        # 福利页激励视频位
-    # ⚠️ 2026-06-21 真机核对穿山甲后台:5830519 名下信息流真实位是 104142227「信息流 1」;
-    # 旧值 104090333 不在该应用名下(请求会报 44406/配置 null、出不了广告)。客户端接入下发后以本值为准。
-    "compare_feed_code_id": "104142227",  # 比价信息流位
-    "coupon_feed_code_id": "104142227",   # 领券信息流位(初始同比价,运营可拆)
+    # 比价与领券共用同一穿山甲 Draw 代码位(默认 104098712 = 后台「Draw信息流」位),靠 feed_scene
+    # (comparison/coupon)区分收益;运营可在后台把两者拆成不同代码位。字段从旧 *_feed_code_id 改名为 *_draw_code_id。
+    "compare_draw_code_id": "104098712",  # 比价 Draw 代码位(104098712 = Draw 信息流位)
+    "coupon_draw_code_id": "104098712",   # 领券 Draw 代码位(初始同比价,运营可拆)
     "reward_mkey": "",                    # 激励位 GroMore 验签密钥(空则回退 .env PANGLE_REWARD_SECRET*)
     "reward_enabled": True,               # 福利激励视频开关
     "compare_ad_enabled": True,           # 比价广告开关

app/schemas/ad.py

@@ -57,6 +57,12 @@ class EcpmReportIn(BaseModel):
     )
     adn: str | None = Field(None, description="实际投放 ADN(getSdkName),如 pangle")
     slot_id: str | None = Field(None, description="实际展示代码位(底层 mediation rit)")
+    feed_scene: str | None = Field(
+        None,
+        max_length=16,
+        description="点位场景:comparison(比价等待) / coupon(领券) / welfare(福利页);"
+        "比价与领券共用同一 Draw 代码位,需客户端在各调用点显式标注,供收益报表区分比价/领券;激励视频为空",
+    )
     app_env: str | None = Field(
         None, max_length=16, description="我们的穿山甲应用环境:prod(傻瓜比价正式) / test(测试应用)"
     )
@@ -128,6 +134,11 @@ class FeedRewardIn(BaseModel):
     """
 
     client_event_id: str = Field(..., min_length=8, max_length=64, description="客户端生成的幂等事件 id")
+    ad_type: str = Field(
+        "feed",
+        max_length=16,
+        description="广告类型:feed(信息流) / draw(Draw 信息流);默认 feed 兼容旧客户端",
+    )
     ad_session_id: str | None = Field(
         None, min_length=8, max_length=64, description="客户端生成的一次信息流广告会话 id"
     )

app/schemas/analytics.py

@@ -0,0 +1,42 @@
+"""客户端埋点上报 schema(批量)。
+
+客户端把「设备固定维度」(device_id / user_id / oem / os / model / app_ver / channel / sent_at)
+放批次外层只传一次,events 列表里每条只带「事件维度」(event / client_ts / session_id / page /
+network / props);服务端展开成多行 AnalyticsEvent 落库(见 app/repositories/analytics.py)。
+"""
+from __future__ import annotations
+
+from pydantic import BaseModel, Field
+
+
+class AnalyticsEventIn(BaseModel):
+    """单条事件维度。"""
+
+    event: str = Field(max_length=64)
+    client_ts: int = Field(description="端事件发生时间 epoch ms")
+    session_id: str | None = Field(default=None, max_length=64)
+    page: str | None = Field(default=None, max_length=64)
+    network: str | None = Field(default=None, max_length=16)
+    props: dict[str, str] = Field(default_factory=dict)
+
+
+class AnalyticsBatchIn(BaseModel):
+    """一批上报:公共维度 + 事件列表。"""
+
+    # Who(整批共享)
+    device_id: str = Field(max_length=64)
+    user_id: int | None = None
+    # When(本批上报时刻 epoch ms)
+    sent_at: int | None = None
+    # How(设备固定维度,整批共享)
+    oem: str | None = Field(default=None, max_length=32)
+    os: str | None = Field(default=None, max_length=32)
+    model: str | None = Field(default=None, max_length=64)
+    app_ver: str | None = Field(default=None, max_length=32)
+    channel: str | None = Field(default=None, max_length=32)
+    events: list[AnalyticsEventIn] = Field(min_length=1, max_length=200)
+
+
+class AnalyticsIngestOut(BaseModel):
+    ok: bool = True
+    received: int

app/schemas/auth.py

@@ -71,6 +71,10 @@ class JverifyLoginRequest(BaseModel):
 
 class SmsSendRequest(BaseModel):
     phone: str = Field(..., min_length=11, max_length=11, pattern=r"^1\d{10}$")
+    device_id: str = Field(
+        "", max_length=64,
+        description="硬件级设备标识(Android ANDROID_ID),用于发码防刷按 设备+IP 限流;空=按 IP 聚一桶",
+    )
 
 
 class SmsSendResponse(BaseModel):

app/schemas/platform.py

@@ -38,8 +38,8 @@ class AdConfigPublicOut(BaseModel):
 
     app_id: str  # 穿山甲应用ID(改了客户端需冷启才生效,SDK init 一次性读)
     reward_code_id: str  # 福利页激励视频位
-    compare_feed_code_id: str  # 比价信息流位
-    coupon_feed_code_id: str  # 领券信息流位
+    compare_draw_code_id: str  # 比价 Draw 代码位
+    coupon_draw_code_id: str  # 领券 Draw 代码位(比价/领券共用同一位,靠 feed_scene 区分收益)
     reward_enabled: bool  # 福利激励视频开关
     compare_ad_enabled: bool  # 比价广告开关
     coupon_ad_enabled: bool  # 领券广告开关

scripts/sim_pangle_callback.py

@@ -12,6 +12,7 @@ FastAPI TestClient 在进程内打**真实** endpoint(`/api/v1/ad/pangle-callbac
 from __future__ import annotations
 
 import argparse
+import json
 import os
 import sys
 import uuid
@@ -56,6 +57,11 @@ def main() -> None:
     p = argparse.ArgumentParser(description="模拟穿山甲发奖回调")
     p.add_argument("user_id", nargs="?", type=int, default=None, help="目标 user_id(默认最近注册)")
     p.add_argument("--trans", default=None, help="交易号(默认随机);同号重跑验幂等")
+    p.add_argument(
+        "--srv-env", default=None,
+        help="模拟客户端 mediaExtra 里的后端环境标记(dev/prod)。与本服 APP_ENV 不符时"
+             "应被环境隔离拦下(Δ0、不串号);留空=不带该字段(旧客户端,照常发)",
+    )
     args = p.parse_args()
 
     if not settings.pangle_callback_configured:
@@ -75,6 +81,9 @@ def main() -> None:
         # 镜像生产:后台代码位"奖励数量"应配成 AD_REWARD_COIN,回调据此发金币
         "reward_amount": str(AD_REWARD_COIN),
     }
+    # 镜像穿山甲透传 mediaExtra:把后端环境标记放进 gromoreExtra(服务端据此做环境隔离)
+    if args.srv_env:
+        params["gromoreExtra"] = json.dumps({"srv_env": args.srv_env})
     params["sign"] = pangle.build_sign(trans_id, settings.PANGLE_REWARD_SECRET)
 
     resp = TestClient(app).get("/api/v1/ad/pangle-callback", params=params)

tests/test_ad_reward.py

@@ -5,6 +5,8 @@
 """
 from __future__ import annotations
 
+import json
+
 from sqlalchemy import select
 
 from app.core.config import settings
@@ -179,6 +181,38 @@ def test_callback_unknown_user(client) -> None:
     assert r.json() == {"is_verify": False, "reason": 2}
 
 
+def test_callback_foreign_env_skipped(client) -> None:
+    """回调 srv_env 与本服 APP_ENV 不符(测试包的 S2S 打到生产)→ 受理但不发币、不串号。
+
+    防的是跨库串号:同一 user_id 在测试库 / 正式库是两个人,回调地址只配生产,测试包(dev)看广告
+    的 S2S 也会打到生产。测试环境 APP_ENV=dev:srv_env=prod 视为「别的环境」→ 跳过,余额不变、
+    不写记录;srv_env=dev(本环境)照常发。srv_env 走 gromoreExtra 透传(穿山甲带回 mediaExtra 的字段)。
+    兼容:不带 srv_env 的旧客户端按本环境处理(其余用例已覆盖)。
+    """
+    phone = "13800003501"
+    token = _login(client, phone)
+    uid = _user_id(phone)
+
+    # 外环境(prod)回调:受理(is_verify=true 防穿山甲重试)但不发币、不留记录
+    foreign = _signed(uid, "trans_foreign_env", ecpm="200",
+                      gromoreExtra=json.dumps({"srv_env": "prod"}))
+    r = _callback(client, foreign)
+    assert r.status_code == 200, r.text
+    assert r.json() == {"is_verify": True, "reason": 0}
+    assert _coin_balance(client, token) == 0
+    st = client.get("/api/v1/ad/reward-status", headers=_auth(token)).json()
+    assert st["used_today"] == 0
+
+    # 本环境(dev)回调:照常发币
+    same = _signed(uid, "trans_same_env", ecpm="200",
+                   gromoreExtra=json.dumps({"srv_env": "dev"}))
+    r = _callback(client, same)
+    assert r.status_code == 200, r.text
+    assert _coin_balance(client, token) == calculate_ad_reward_coin("200", 1)
+    st = client.get("/api/v1/ad/reward-status", headers=_auth(token)).json()
+    assert st["used_today"] == 1
+
+
 def test_reward_status_requires_auth(client) -> None:
     """客户端进度接口需登录。"""
     r = client.get("/api/v1/ad/reward-status")

tests/test_auth.py

@@ -74,6 +74,73 @@ def test_sms_send_too_frequent(client) -> None:
     assert client.post("/api/v1/auth/sms/send", json={"phone": phone}).status_code == 429
 
 
+def test_sms_send_device_ip_rate_limit(client, monkeypatch) -> None:
+    """发码防刷:同一设备(device_id) + 同一 IP 每小时最多 N 次发码,超出 429。
+    用不同手机号(绕开单号 60s 冷却)证明限流按设备封顶 —— 堵「换号绕开单号冷却/每日上限」的洞。
+    conftest 默认关限流;本用例临时打开 + 调小阈值便于测 + 清计数隔离。"""
+    from app.api.v1 import auth
+    from app.core import ratelimit
+
+    monkeypatch.setattr(ratelimit.settings, "RATE_LIMIT_ENABLED", True)
+    monkeypatch.setattr(auth, "SMS_SEND_MAX_PER_HOUR_PER_DEVICE", 3)
+    ratelimit._buckets.clear()
+
+    device = "dev-send-A"
+    # 同设备、每次换不同手机号(绕开单号冷却)发码,前 3 次 200
+    for i in range(3):
+        r = client.post(
+            "/api/v1/auth/sms/send",
+            json={"phone": f"137001370{i:02d}", "device_id": device},
+        )
+        assert r.status_code == 200, f"第 {i + 1} 次应放行: {r.text}"
+    # 第 4 次:同设备超限 → 429(即便又换了手机号)
+    r = client.post(
+        "/api/v1/auth/sms/send",
+        json={"phone": "13700137003", "device_id": device},
+    )
+    assert r.status_code == 429, r.text
+
+    # 换个设备 → 独立计数(限流键含 device_id),放行
+    r = client.post(
+        "/api/v1/auth/sms/send",
+        json={"phone": "13700137004", "device_id": "dev-send-B"},
+    )
+    assert r.status_code == 200, r.text
+
+
+def test_sms_login_device_ip_rate_limit(client, monkeypatch) -> None:
+    """防刷:同一设备(device_id) + 同一 IP 每小时最多 SMS_LOGIN_MAX_PER_HOUR 次登录尝试,超出 429。
+    conftest 默认 RATE_LIMIT_ENABLED=false(内存计数跨用例累加),本用例临时打开并清空计数隔离。"""
+    from app.api.v1 import auth
+    from app.core import ratelimit
+
+    monkeypatch.setattr(ratelimit.settings, "RATE_LIMIT_ENABLED", True)
+    ratelimit._buckets.clear()  # 隔离:清掉跨用例累加的内存计数
+
+    device = "dev-rl-A"
+    # 前 N 次故意每次换手机号、固定设备:mock 校验放行 → 200。证明限流按设备而非手机号,同设备共用一个桶
+    for i in range(auth.SMS_LOGIN_MAX_PER_HOUR):
+        r = client.post(
+            "/api/v1/auth/sms/login",
+            json={"phone": f"135331533{i:02d}", "code": "123456", "device_id": device},
+        )
+        assert r.status_code == 200, f"第 {i + 1} 次应放行: {r.text}"
+    # 第 N+1 次:同设备同 IP 超限 → 429(即便又换了个手机号)
+    r = client.post(
+        "/api/v1/auth/sms/login",
+        json={"phone": "13533153399", "code": "123456", "device_id": device},
+    )
+    assert r.status_code == 429, r.text
+    assert "频繁" in r.json()["detail"]
+
+    # 同 IP 换个设备 → 独立计数(限流键含 device_id、非纯 IP/手机号),仍放行
+    r = client.post(
+        "/api/v1/auth/sms/login",
+        json={"phone": "13533153300", "code": "123456", "device_id": "dev-rl-B"},
+    )
+    assert r.status_code == 200, r.text
+
+
 def test_sms_login_bad_code(client) -> None:
     """mock 下校验位数:5 位过 schema 但业务要 6 位 → 400。"""
     phone = "13700137000"

tests/test_test_account.py

@@ -142,6 +142,54 @@ def test_send_does_not_consume_quota(client, enabled, monkeypatch) -> None:
     assert client.post("/api/v1/auth/sms/login", json={"phone": TEST_PHONE, "code": "1234"}).status_code == 429
 
 
+# ============================ 登录限流豁免 ============================
+
+def test_exempt_from_device_ip_login_rate_limit(client, enabled, monkeypatch) -> None:
+    """测试号豁免 (设备+IP) 每小时登录限流。
+
+    普通设备同设备同 IP 到 SMS_LOGIN_MAX_PER_HOUR 次即被拦(见 test_auth.test_sms_login_device_ip_rate_limit);
+    测试号走自己的每日额度、不受这道限流——这里临时打开 RATE_LIMIT_ENABLED,同一设备连登远超该上限仍全 200。
+    回归用:防有人把 enforce_rate_limit 挪到测试账号 early-return 之前而破坏豁免。"""
+    from app.api.v1 import auth
+    from app.core import ratelimit
+
+    monkeypatch.setattr(ratelimit.settings, "RATE_LIMIT_ENABLED", True)
+    ratelimit._buckets.clear()  # 隔离:清掉跨用例累加的内存计数
+
+    # 同一设备连登 (每小时上限 + 3) 次,远超普通设备会被拦的阈值;测试号豁免 → 全部放行
+    for i in range(auth.SMS_LOGIN_MAX_PER_HOUR + 3):
+        r = client.post(
+            "/api/v1/auth/sms/login",
+            json={"phone": TEST_PHONE, "code": "000000", "device_id": "dev-test-exempt"},
+        )
+        assert r.status_code == 200, (
+            f"测试号第 {i + 1} 次登录应放行(豁免每小时限流),实际 {r.status_code}: {r.text}"
+        )
+
+
+def test_exempt_from_device_ip_send_rate_limit(client, enabled, monkeypatch) -> None:
+    """测试号豁免 (设备+IP) 每小时**发码**限流(与登录那道同样靠早返回豁免)。
+
+    普通设备同设备到 SMS_SEND_MAX_PER_HOUR_PER_DEVICE 次发码即被拦(见 test_auth.test_sms_send_device_ip_rate_limit);
+    测试号发码本就短路(不真发)、且在限流之前早返回 → 同一设备连发远超上限仍全 200。
+    回归用:防有人把发码限流挪到测试账号 early-return 之前而把 QA 联调也风控了。"""
+    from app.api.v1 import auth
+    from app.core import ratelimit
+
+    monkeypatch.setattr(ratelimit.settings, "RATE_LIMIT_ENABLED", True)
+    monkeypatch.setattr(auth, "SMS_SEND_MAX_PER_HOUR_PER_DEVICE", 2)  # 调小:不豁免的话第 3 次就该被拦
+    ratelimit._buckets.clear()
+
+    for i in range(auth.SMS_SEND_MAX_PER_HOUR_PER_DEVICE + 2):
+        r = client.post(
+            "/api/v1/auth/sms/send",
+            json={"phone": TEST_PHONE, "device_id": "dev-test-send"},
+        )
+        assert r.status_code == 200, (
+            f"测试号第 {i + 1} 次发码应放行(豁免每小时限流),实际 {r.status_code}: {r.text}"
+        )
+
+
 # ============================ 计数单元逻辑 ============================
 
 def test_quota_resets_across_day(enabled, monkeypatch) -> None: