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>
feat(ad): 信息流广告切换为 Draw 信息流并区分比价/领券收益
2026-06-26 23:29:12 +08:00 · 2026-06-26 22:58:23 +08:00 · 2026-06-26 19:11:23 +08:00
29 changed files with 529 additions and 39 deletions
@@ -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 ###
@@ -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")
@@ -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)
@@ -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


@@ -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"],
@@ -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(
@@ -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[
@@ -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,
+    )
@@ -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
@@ -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)")
@@ -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
@@ -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
@@ -285,12 +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)

@@ -401,6 +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,
@@ -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)
@@ -40,9 +40,9 @@ 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。比登录略宽(发码含正常重发);
+# 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 = 10
+SMS_SEND_MAX_PER_HOUR_PER_DEVICE = 5


 def _login_response(
@@ -90,7 +90,6 @@ 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, 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。
@@ -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"],
@@ -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
@@ -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)
@@ -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
@@ -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)
@@ -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)
@@ -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}>"
@@ -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,
@@ -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,
@@ -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)
@@ -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
@@ -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"
    )
@@ -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
@@ -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
@@ -77,7 +77,7 @@ def test_sms_send_too_frequent(client) -> None:
 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(避开同 IP 10/分钟那道)+ 清计数隔离。"""
+    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