feat(analytics): 埋点事件接收接口 + admin 查询接口 + 埋点表 (#83)

Reviewed-on: #83
Co-authored-by: zhuzihao <zhuzihao@wonderable.ai>
Co-committed-by: zhuzihao <zhuzihao@wonderable.ai>
This commit was merged in pull request #83.
This commit is contained in:
2026-06-26 23:56:29 +08:00
committed by marco
parent 667cda566f
commit 59fe715245
18 changed files with 168 additions and 39 deletions
@@ -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")
+38 -6
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@@ -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:
"""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""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
+27 -8
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@@ -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(023)。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"],
+1 -1
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@@ -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[
+4 -4
View File
@@ -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
+6 -1
View File
@@ -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 023(granularity=hour 时有值;按天为 null)")
+7 -5
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@@ -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,
+2 -3
View File
@@ -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。
+2 -2
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@@ -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"],
+3 -1
View File
@@ -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
+3
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@@ -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)
+3
View File
@@ -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)
+2
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@@ -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,
+6 -1
View File
@@ -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,
+4 -4
View File
@@ -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
+11
View File
@@ -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"
)
+2 -2
View File
@@ -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
coupon_feed_code_id: str # 领券信息流位
compare_draw_code_id: str # 比价 Draw 代码
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
+1 -1
View File
@@ -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